diff --git a/doc/training/header.md b/doc/training/header.md index f830b23f0a..f87e5d6c6e 100644 --- a/doc/training/header.md +++ b/doc/training/header.md @@ -219,7 +219,7 @@ Specific keyword scheme names like "PACS" or "Mathematics Subject Classification ```xml -Mathematics Subject Classification: 83C15, 81U15, 81V80, 17B80, 81R12 +Mathematics Subject Classification: 83C15, 81U15, 81V80, 17B80, 81R12 PACS numbers: 02.30.Ik, 03.65.Fd Fd ``` diff --git a/grobid-core/src/main/java/org/grobid/core/data/Affiliation.java b/grobid-core/src/main/java/org/grobid/core/data/Affiliation.java index ab8b46ca54..ce79540e15 100755 --- a/grobid-core/src/main/java/org/grobid/core/data/Affiliation.java +++ b/grobid-core/src/main/java/org/grobid/core/data/Affiliation.java @@ -33,7 +33,7 @@ public class Affiliation { private String addressString = null; // unspecified address field private String affiliationString = null; // unspecified affiliation field - private String rawAffiliationString = null; // raw affiliation text (excluding marker) + private String rawAffiliationString = null; // raw affiliation+address text (excluding marker) private boolean failAffiliation = true; // tag for unresolved affiliation attachment @@ -330,7 +330,8 @@ public boolean isNotNull() { (region == null) && (settlement == null) && (addrLine == null) && - (affiliationString == null) && + (affiliationString == null) && + (rawAffiliationString == null) && (addressString == null)); } @@ -338,7 +339,8 @@ public boolean isNotEmptyAffiliation() { return !((departments == null) && (institutions == null) && (laboratories == null) && - (affiliationString == null)); + (affiliationString == null) && + (rawAffiliationString == null)); } public boolean hasAddress() { diff --git a/grobid-core/src/main/java/org/grobid/core/data/Funding.java b/grobid-core/src/main/java/org/grobid/core/data/Funding.java index 0e86bfc2d6..60f5e1ca95 100644 --- a/grobid-core/src/main/java/org/grobid/core/data/Funding.java +++ b/grobid-core/src/main/java/org/grobid/core/data/Funding.java @@ -93,6 +93,8 @@ public String getGrantNumber() { } public void setGrantNumber(String grantNumber) { + if (grantNumber != null && grantNumber.startsWith("n˚")) + grantNumber = grantNumber.replace("n˚", ""); this.grantNumber = grantNumber; } diff --git a/grobid-core/src/main/java/org/grobid/core/engines/FullTextParser.java b/grobid-core/src/main/java/org/grobid/core/engines/FullTextParser.java index 46a7976500..f0a5042c64 100755 --- a/grobid-core/src/main/java/org/grobid/core/engines/FullTextParser.java +++ b/grobid-core/src/main/java/org/grobid/core/engines/FullTextParser.java @@ -31,6 +31,8 @@ import org.grobid.core.features.FeatureFactory; import org.grobid.core.features.FeaturesVectorFulltext; import org.grobid.core.lang.Language; +import org.grobid.core.lexicon.Lexicon; +import org.grobid.core.lexicon.Lexicon.OrganizationRecord; import org.grobid.core.layout.*; import org.grobid.core.tokenization.TaggingTokenCluster; import org.grobid.core.tokenization.TaggingTokenClusteror; @@ -2703,12 +2705,49 @@ private void toTEI(Document doc, } if (affiliations != null && affiliations.size() >0) { - tei.append("\n\t\t\t\n"); + + // check if we have at least one acknowledged research infrastructure here + List filteredInfrastructures = new ArrayList<>(); for(Affiliation affiliation : affiliations) { - if (affiliation.isNotEmptyAffiliation() && affiliation.isInfrastructure()) - tei.append(Affiliation.toTEI(affiliation, 4, config)); + if (affiliation.isNotEmptyAffiliation() && affiliation.isInfrastructure()) + filteredInfrastructures.add(affiliation); + else if (affiliation.isNotEmptyAffiliation()) { + // check if this organization is a known infrastructure + List localOrganizationNamings = + Lexicon.getInstance().getOrganizationNamingInfo(affiliation.getAffiliationString()); + if (localOrganizationNamings != null && localOrganizationNamings.size()>0) { + filteredInfrastructures.add(affiliation); + } + } + } + + // serialize acknowledged research infrastructure, if any + if (filteredInfrastructures.size() > 0) { + tei.append("\n\t\t\t\n"); + for(Affiliation affiliation : filteredInfrastructures) { + List localOrganizationNamings = + Lexicon.getInstance().getOrganizationNamingInfo(affiliation.getAffiliationString()); + tei.append("\t\t\t\t"); + tei.append("\t\t\t\t\t"); + tei.append(TextUtilities.HTMLEncode(affiliation.getAffiliationString())); + tei.append("\n"); + if (localOrganizationNamings != null && localOrganizationNamings.size()>0) { + for(Lexicon.OrganizationRecord orgRecord : localOrganizationNamings) { + if (isNotBlank(orgRecord.fullName)) { + tei.append("\t\t\t\t\t"); + tei.append(TextUtilities.HTMLEncode(orgRecord.fullName)); + tei.append("\n"); + } + } + } + tei.append("\t\t\t\t\n"); + } + + tei.append("\t\t\t\n"); } - tei.append("\t\t\t\n"); } // availability statements in header diff --git a/grobid-core/src/main/java/org/grobid/core/engines/FundingAcknowledgementParser.java b/grobid-core/src/main/java/org/grobid/core/engines/FundingAcknowledgementParser.java index 3cf906a249..c92b270ff1 100644 --- a/grobid-core/src/main/java/org/grobid/core/engines/FundingAcknowledgementParser.java +++ b/grobid-core/src/main/java/org/grobid/core/engines/FundingAcknowledgementParser.java @@ -77,7 +77,7 @@ protected FundingAcknowledgementParser() { try { String featureVector = FeaturesVectorFunding.addFeatures(tokenizationFunding, null); res = label(featureVector); - //System.out.println(res); +//System.out.println(res); } catch (Exception e) { throw new GrobidException("CRF labeling with table model fails.", e); } @@ -323,14 +323,14 @@ public MutablePair,List,List,List,List,List,List 0) affiliations.addAll(institutions); diff --git a/grobid-core/src/main/java/org/grobid/core/features/FeaturesVectorFunding.java b/grobid-core/src/main/java/org/grobid/core/features/FeaturesVectorFunding.java index b0d1c05228..5839fc21ec 100644 --- a/grobid-core/src/main/java/org/grobid/core/features/FeaturesVectorFunding.java +++ b/grobid-core/src/main/java/org/grobid/core/features/FeaturesVectorFunding.java @@ -22,6 +22,7 @@ public class FeaturesVectorFunding { public boolean singleChar = false; public boolean containDash = false; public boolean knownFunder = false; + public boolean knownInfrastructure = false; public String punctType = null; // one of NOPUNCT, OPENBRACKET, ENDBRACKET, DOT, COMMA, HYPHEN, QUOTE, PUNCT (default) public boolean containPunct = false; @@ -73,6 +74,12 @@ public String printVector() { else res.append(" 0"); + // lexical information (2) + if (knownInfrastructure) + res.append(" 1"); + else + res.append(" 0"); + // punctuation information (2) res.append(" " + punctType); // in case the token is a punctuation (NO otherwise) @@ -92,6 +99,7 @@ public static String addFeatures(List tokens, List tags) th FeatureFactory featureFactory = FeatureFactory.getInstance(); List funderPositions = Lexicon.getInstance().tokenPositionsFunderNames(tokens); + List infrastructurePositions = Lexicon.getInstance().tokenPositionsResearchInfrastructureNames(tokens); String line; StringBuilder stringBuilder = new StringBuilder(); @@ -100,6 +108,8 @@ public static String addFeatures(List tokens, List tags) th int currentFunderPositions = 0; boolean isKnownFunderToken = false; + int currentInfrastructurePositions = 0; + boolean isKnownInfrastructureToken = false; boolean skipTest; for (int n = 0; n < tokens.size(); n++) { @@ -178,6 +188,29 @@ public static String addFeatures(List tokens, List tags) th } } + // check the position of matches for known infrastructures + if ((infrastructurePositions != null) && (infrastructurePositions.size() > 0)) { + if (currentInfrastructurePositions == infrastructurePositions.size() - 1) { + if (infrastructurePositions.get(currentInfrastructurePositions).end < n) { + skipTest = true; + } + } + if (!skipTest) { + for (int i = currentInfrastructurePositions; i < infrastructurePositions.size(); i++) { + if ((infrastructurePositions.get(i).start <= n) && + (infrastructurePositions.get(i).end >= n)) { + isKnownInfrastructureToken = true; + currentInfrastructurePositions = i; + break; + } else if (infrastructurePositions.get(i).start > n) { + isKnownInfrastructureToken = false; + currentInfrastructurePositions = i; + break; + } + } + } + } + if (newline) { features.lineStatus = "LINESTART"; outputLineStatus = true; @@ -286,6 +319,9 @@ public static String addFeatures(List tokens, List tags) th if (isKnownFunderToken) features.knownFunder = true; + if (isKnownInfrastructureToken) + features.knownInfrastructure = true; + if (tag != null) features.label = tag; diff --git a/grobid-core/src/main/java/org/grobid/core/lexicon/Lexicon.java b/grobid-core/src/main/java/org/grobid/core/lexicon/Lexicon.java index 8ae002fb15..271dd6fa77 100755 --- a/grobid-core/src/main/java/org/grobid/core/lexicon/Lexicon.java +++ b/grobid-core/src/main/java/org/grobid/core/lexicon/Lexicon.java @@ -12,6 +12,7 @@ import java.util.List; import java.util.ArrayList; import java.util.Map; +import java.util.TreeMap; import java.util.Set; import java.util.StringTokenizer; import java.util.regex.*; @@ -35,6 +36,8 @@ import org.slf4j.Logger; import org.slf4j.LoggerFactory; +import org.apache.commons.lang3.tuple.Pair; + /** * Class for managing all the lexical resources. * @@ -44,6 +47,7 @@ public class Lexicon { // private static volatile Boolean instanceController = false; private static volatile Lexicon instance; + // gazetteers private Set dictionary_en = null; private Set dictionary_de = null; private Set lastNames = null; @@ -51,19 +55,22 @@ public class Lexicon { private Map countryCodes = null; private Set countries = null; + // retrieve basic naming information about a research infrastructure (key must be lower case!) + private Map > researchOrganizations = null; + + // fast matchers for efficient and flexible pattern matching in layout token sequence or strings private FastMatcher abbrevJournalPattern = null; private FastMatcher conferencePattern = null; private FastMatcher publisherPattern = null; private FastMatcher journalPattern = null; private FastMatcher cityPattern = null; private FastMatcher organisationPattern = null; + private FastMatcher researchInfrastructurePattern = null; private FastMatcher locationPattern = null; private FastMatcher countryPattern = null; - private FastMatcher orgFormPattern = null; private FastMatcher collaborationPattern = null; private FastMatcher funderPattern = null; - private FastMatcher personTitlePattern = null; private FastMatcher personSuffixPattern = null; @@ -113,6 +120,21 @@ private Lexicon() { "lexicon"+File.separator+"countries"+File.separator+"CountryCodes.xml"); } + /** + * A basic class to hold dictionary/naming information about an organization for a given language + */ + public class OrganizationRecord { + public String name; + public String fullName; + public String lang; // ISO 2-characters language code + + public OrganizationRecord(String name, String fullName, String lang) { + this.name = name; + this.fullName = fullName; + this.lang = lang; + } + } + private void initDictionary() { LOGGER.info("Initiating dictionary"); dictionary_en = new HashSet<>(); @@ -509,6 +531,86 @@ public void initFunders() { } } + public void initResearchInfrastructures() { + try { + researchInfrastructurePattern = new FastMatcher(new + File(GrobidProperties.getGrobidHomePath() + "/lexicon/organisations/research_infrastructures.txt"), + GrobidAnalyzer.getInstance(), true); + // store some name mapping + researchOrganizations = new TreeMap<>(); + + File file = new File(GrobidProperties.getGrobidHomePath() + "/lexicon/organisations/research_infrastructures_map.txt"); + if (!file.exists()) { + throw new GrobidResourceException("Cannot add research infrastructure names to dictionary, because file '" + + file.getAbsolutePath() + "' does not exists."); + } + if (!file.canRead()) { + throw new GrobidResourceException("Cannot add research infrastructure to dictionary, because cannot read file '" + + file.getAbsolutePath() + "'."); + } + InputStream ist = null; + BufferedReader dis = null; + try { + ist = new FileInputStream(file); + dis = new BufferedReader(new InputStreamReader(ist, "UTF8")); + + String line; + while ((line = dis.readLine()) != null) { + // read the line + line = line.trim(); + if (line.length() == 0 || line.startsWith("#")) + continue; + String[] pieces = line.split(";", -1); // -1 for getting empty tokens too + if (pieces.length == 3) { + if (pieces[0].length() > 0) { + + if (pieces[1].length() > 0) { + OrganizationRecord localInfra = new OrganizationRecord(pieces[0], pieces[1], "en"); + List localInfraList = researchOrganizations.get(pieces[0].toLowerCase()); + if (localInfraList == null) { + localInfraList = new ArrayList<>(); + } + localInfraList.add(localInfra); + researchOrganizations.put(pieces[0].toLowerCase(), localInfraList); + researchOrganizations.put(pieces[1].toLowerCase(), localInfraList); + } + + if (pieces[2].length() > 0) { + OrganizationRecord localInfra = new OrganizationRecord(pieces[0], pieces[2], "fr"); + List localInfraList = researchOrganizations.get(pieces[0].toLowerCase()); + if (localInfraList == null) { + localInfraList = new ArrayList<>(); + } + localInfraList.add(localInfra); + researchOrganizations.put(pieces[0].toLowerCase(), localInfraList); + researchOrganizations.put(pieces[2].toLowerCase(), localInfraList); + } + } + } else { + LOGGER.warn("research_infrastructures map file, invalid line format: " + line); + } + } + } catch (FileNotFoundException e) { + throw new GrobidException("An exception occured while running Grobid.", e); + } catch (IOException e) { + throw new GrobidException("An exception occured while running Grobid.", e); + } finally { + try { + if (ist != null) + ist.close(); + if (dis != null) + dis.close(); + } catch (Exception e) { + throw new GrobidResourceException("Cannot close all streams.", e); + } + } + } catch (PatternSyntaxException e) { + throw new GrobidResourceException("Error when compiling lexicon matcher for research infrastructure.", e); + } catch (Exception e) { + throw new GrobidException("An exception occured while running Grobid Lexicon init.", e); + } + } + /** * Look-up in first name gazetteer */ @@ -537,10 +639,19 @@ public boolean isPunctuation(String s) { return false; } + public List getOrganizationNamingInfo(String name) { + if (researchOrganizations == null) + return null; + return researchOrganizations.get(name.toLowerCase()); + } + /** * Map the language codes used by the language identifier component to the normal * language name. * + * Note: due to an older bug, kr is currently map to Korean too - this should + * disappear at some point in the future after retraining of models + * * @param code the language to be mapped */ public String mapLanguageCode(String code) { @@ -697,6 +808,17 @@ public List tokenPositionsFunderNames(List s) { return results; } + /** + * Case sensitive look-up in research infrastructure name gazetteer for a given list of LayoutToken objects + * with token positions + */ + public List tokenPositionsResearchInfrastructureNames(List s) { + if (researchInfrastructurePattern == null) + initResearchInfrastructures(); + List results = researchInfrastructurePattern.matchLayoutToken(s, true, true); + return results; + } + /** * Soft look-up in city name gazetteer for a given string with token positions */ diff --git a/grobid-home/lexicon/organisations/fr-esr-feuille-de-route-infrastructures-recherche-historique.csv b/grobid-home/lexicon/organisations/fr-esr-feuille-de-route-infrastructures-recherche-historique.csv index ad45e8bd49..366ff2e47c 100644 --- a/grobid-home/lexicon/organisations/fr-esr-feuille-de-route-infrastructures-recherche-historique.csv +++ b/grobid-home/lexicon/organisations/fr-esr-feuille-de-route-infrastructures-recherche-historique.csv @@ -8,7 +8,7 @@ Sciences du système Terre et de l'environnement;CLIMERI-France;Infrastructure d Information scientifique;CollEx-Persée;Collections d’excellence pour la Recherche – Persée;;fr-esr-fdr-ir-060;tC942;Q103038686;Oui;Oui Astronomie et astrophysique;CTA;Cherenkov Telescope Array;;fr-esr-fdr-ir-004;T8XXh;Q1070229;Oui;Oui Physique nucléaire et des hautes énergies;DUNE;Deep Underground Neutrino Experiment at the Long- Baseline Neutrino Facility;;fr-esr-fdr-ir-078;2g3w4;;Oui;Oui -Physique nucléaire et des hautes énergies;EGO-VIRGO;Observatoire Européen Gravitationnel – VIRGO;European Gravitational Observatory – VIRGO;fr-esr-fdr-ir-072;cGMzA;Q5412642;Oui;Oui +Physique nucléaire et des hautes énergies;EGO-VIRGO;Observatoire Européen Gravitationnel - VIRGO;European Gravitational Observatory - VIRGO;fr-esr-fdr-ir-072;cGMzA;Q5412642;Oui;Oui Sciences de la matière et ingénierie;EMIR;Fédération des Accélérateurs pour les Études des Matériaux sous Irradiation;;fr-esr-fdr-ir-089;M6KFX;;Non;Oui Sciences du système Terre et de l'environnement;EMPHASIS France;European Infrastructure for multi-scale Plant Phenomics and Simulation for food security in a changing climate (France);;fr-esr-fdr-ir-033;j1t4P;;Non;Oui SHS;E-RIHS France;European Research Infrastructure for Heritage Science – France;;fr-esr-fdr-ir-082;ibu4q;;Oui;Oui diff --git a/grobid-home/lexicon/organisations/research_infrastructures.txt b/grobid-home/lexicon/organisations/research_infrastructures.txt new file mode 100644 index 0000000000..ad55acc003 --- /dev/null +++ b/grobid-home/lexicon/organisations/research_infrastructures.txt @@ -0,0 +1,371 @@ +EBRAINS +European Brain ReseArch INfrastructureS +SLICES +Scientific Large-scale Infrastructure for Computing/ Communication Experimental Studies +SoBigData++ +European Integrated Infrastructure for Social Mining and Big Data Analytics +IFMIF-DONES +International Fusion Materials Irradiation Facility - DEMO Oriented NEutron Source +MARINERG-i +Marine Renewable Energy Research Infrastructure +DANUBIUS-RI +International Centre for Advanced Studies on River-Sea Systems +DiSSCo +Distributed System of Scientific Collections +eLTER RI +Integrated European Long-Term Ecosystem, critical zone and socio-ecological system Research Infrastructure +EIRENE RI +Research Infrastructure for EnvIRonmental Exposure assessmeNt in Europe +EMPHASIS +European Infrastructure for Multi-scale Plant Phenomics and Simulation +EU-IBISBA +European Industrial Biotechnology Innovation and Synthetic Biology Accelerator +METROFOOD-RI +Infrastructure for promoting Metrology in Food and Nutritiom +European Solar Telescope +Einstein Telescope +EuPRAXIA +European Plasma Research Accelerator with Excellence in Applications +KM3NeT 2.0 +KM3 Neutrino Telescope 2.0 +E-RIHS +European Research Infrastructure for Heritage Science +EHRI +European Holocaust Research Infrastructure +GGP +The Generations and Gender Programme +GUIDE +Growing Up in Digital Europe: EuroCohort +OPERAS +OPen scholarly communication in the European Research Area for Social Sciences and Humanities +RESILIENCE +REligious Studies Infrastructure: tooLs, Innovation, Experts, conNections and Centres in Europe +PRACE +Partnership for Advanced Computing in Europe +ECCSEL +European Carbon Dioxide Capture and Storage Laboratory Infrastructure +EU-SOLARIS +European Solar Research Infrastructure for Concentrated Solar Power +JHR +Jules Horowitz Reactor +ACTRIS +Aerosol, Clouds and Trace Gases Research Infrastructure +EISCAT_3D +Next generation European Incoherent Scatter radar system +EMSO +European Multidisciplinary Seafloor and water-column Observatory +EPOS +European Plate Observing System +EURO-ARGO +European contribution to the international Argo Programme +IAGOS +In-service Aircraft for a Global Observing System +ICOS +Integrated Carbon Observation System +LifeWatch +e-Infrastructure for Biodiversity and Ecosystem Research +AnaEE +Analysis and Experimentation on Ecosystems +BBMRI +Biobanking and BioMolecular Resources Research Infrastructure +EATRIS +European Advanced Translational Research Infrastructure in Medicine +ECRIN +European Clinical Research Infrastructure Network +ELIXIR +A distributed infrastructure for life-science data +EMBRC +European Marine Biological Resource Centre +ERINHA +European Research Infrastructure on Highly Pathogenic Agents +EU-OPENSCREEN +European Infrastructure of Open Screening Platforms for Chemical Biology +Euro-BioImaging +European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences +INFRAFRONTIER +European Research Infrastructure for the generation, phenotyping, archiving and distribution of mouse disease models +INSTRUCT +Integrated Structural Biology Infrastructure +MIRRI +Microbial Resource Research Infrastructure +CTA +Cherenkov Telescope Array +ELI +Extreme Light Infrastructure +ELT +Extremely Large Telescope +EMFL +European Magnetic Field Laboratory +ESRF EBS +European Synchrotron Radiation Facility Extremely Brilliant Source +European Spallation Source +European XFEL +European X-Ray Free-Electron Laser Facility +FAIR +Facility for Antiproton and Ion Research +HL-LHC +High-Luminosity Large Hadron Collider +ILL +Institut Max von Laue - Paul Langevin +SKAO +Square Kilometre Array Observatory +SPIRAL2 +Système de Production d’Ions Radioactifs en Ligne de 2e génération +CESSDA +Consortium of European Social Science Data Archives +CLARIN +Common Language Resources and Technology Infrastructure +DARIAH +Digital Research Infrastructure for the Arts and Humanities +ESS +European Social Survey +SHARE +Survey of Health, Ageing and Retirement in Europe +AGATA +Advance GAmma Tracking Array +AnaEE +Analyse et Expérimentation sur les Ecosystèmes +ANAEE-France ECOTRONS +Analyses et Expérimentations sur les Écosystèmes - France ECOTRONS +Celphedia +Infrastructure Nationale pour la création, l’élevage, le phénotypage, la distribution et l’archivage d’organismes modèles +CINES +Centre informatique national de l'enseignement supérieur +CLIMERI +Infrastructure de recherche nationale de modélisation du système climatique de la Terre +CollEx-Persée +Collections d’excellence pour la Recherche - Persée +CTA +Cherenkov Telescope Array +DUNE +Deep Underground Neutrino Experiment at the Long-Baseline Neutrino Facility +EGO-VIRGO +Observatoire Européen Gravitationnel - VIRGO +European Gravitational Observatory - VIRGO +EMIR +Fédération des Accélérateurs pour les Études des Matériaux sous Irradiation +EMPHASIS +European Infrastructure for multi-scale Plant Phenomics and Simulation for food security in a changing climate +E-RIHS +European Research Infrastructure for Heritage Science +ESRF +Source Européenne de Rayonnement Synchrotron +European Synchrotron Radiation Facility +FBI +France-BioImaging +F-CRIN +Plateforme Nationale d’Infrastructures de recherche Clinique +France Génomique +Infrastructure nationale de génomique et bioinformatique associée +HAL+ +Archive ouverte de prochaine génération +HUMA-NUM +La Très Grande Infrastructure de Recherche des Humanités Numériques +IFB +Institut Français de Bioinformatique +INGESTEM +Infrastructure nationale des cellules souches pluripotentes et ingénierie tissulaire +Instrum-ESO +Instrumentation pour les grands télescopes de l’ESO +JUNO +Jiangmen Underground Neutrino Observatory +KM3NeT +Kilometre Cube Neutrino Telescope +LNCMI - EMFL +Laboratoire National des Champs Magnétiques Intenses +NeurATRIS +Infrastructure de Recherche Translationnelle pour les Biothérapies en Neurosciences +OpenEdition +Communication scientifique ouverte en sciences humaines et sociales +PNDB +Pôle National de Données de Biodiversité +RARe +Ressources Agronomiques pour la Recherche +Software Heritage +TIMES +Transfert et Interfaces : Mathématiques, Entreprises et Société +CERN +Organisation Européenne pour la Recherche Nucléaire +European Organization for Nuclear Research +CONSTANCES +Cohorte des consultants des Centres d’examens de santé +ECORD/IODP +Programme international de forage profond en mer +European Consortium for Ocean Drilling Research/International Ocean Discovery Program +EMERG'IN +Infrastructure Nationale de Recherche pour la lutte contre les maladies infectieuses animales émergentes ou zoonotiques par l’exploration in vivo +EURO-ARGO +Réseau in-situ global d’observation des océans +European contribution to Argo program +FAIR +Facility for Antiproton and Ion Research +FOF +Flotte Océanographique Française +FR-EXPOSOME +France exposome +GANIL-SPIRAL2 +Grand Accélérateur National d’Ions Lourds - Système de production d’Ions Radioactifs en Ligne de 2e génération +HESS +High Energy Stereoscopic System +IAGOS +Instruments de mesure embarqués sur avions pour l’observation globale +In-service Aircraft for Global Observing System +IN AIR +Infrastructure Nationale des Aéronefs Instrumentés pour la Recherche +LSST +Legacy Survey of Space and Time +MetaboHUB +Infrastructure française distribuée pour la métabolomique et la fluxomique dédiée à l’innovation, à la formation et au transfert de technologie +Métopes +Méthodes et outils pour l’édition structurée +NEUROSPIN +Infrastructure de recherche sur le cerveau exploitant des grands instruments d’imagerie +PAO +Observatoire Pierre Auger +Pierre Auger Observatory +PGT +Consortium Préindustriel des vecteurs de Thérapie Génique +ROBOTEX 2.0 +L’infrastructure coordonnée des plateformes de Robotique en France +LSM +Laboratoire souterrain de Modane +ACTRIS +Aerosol, Cloud and Trace Gases Research Infrastructure +Apollo +Infrastructure de Recherche Apollon +CC-IN2P3 +Centre de Calcul de l’IN2P3/CNRS +CDS +Centre de Données astronomiques de Strasbourg +CFHT +Canada-France-Hawaii Telescope +ChemBioFrance +Plateforme de découverte de molécules bioactives pour comprendre et soigner le vivant +CONCORDIA +Station de recherche antarctique franco-italienne +DATA TERRA +Pôles de données et services pour le système Terre +ECELLFrance +Plateforme nationale pour la médecine régénératrice basée sur les cellules souches mesenchymateuses adultes +eLTER-France RZA +Réseau des Zones Ateliers - Infrastructure des Socio-écosystèmes +EMBRC +Centre National de Ressources Biologiques Marines +EMIR&A +Fédération des accélérateurs pour l'IRradiation et l'Analyse des molécules et Matériaux +ESS +European Spallation Source +E-XFEL +European X-ray Free Electron Laser +FR Solaris +Infrastructure de Recherche française sur le solaire thermique concentré +IBISBA +Industrial Biotechnology Innovation and Synthetic Biology Acceleration +IDMIT +Infrastructure nationale pour la modélisation des maladies infectieuses humaines et les thérapies innovantes +ILL +Institut Max von Laue - Paul Langevin +In-Sylva +Infrastructure Nationale de recherche pour la gestion adaptative des forêts +ISTEX +Information scientifique et technique d'excellence +Laboratoire P4 Jean Mérieux +Infrastructure de recherche dédiée aux maladies hautement infectieuses - Laboratoire P4 Jean Mérieux Inserm +METSA +Microscopie Électronique en Transmission et Sonde Atomique +LMJ-PETAL +Laser Mégajoule - PETawatt Aquitaine Laser +Phenome-Emphasis +Infrastructure Francaise de Phenomique Végétale +PROGEDO +PROduction et GEstion de Données +REFIMEVE +Réseau fibre métrologique à vocation européenne +RéGEF +Réseau Géochimique et Expérimental Français +RENATER +Groupement d’intérêt public pour le réseau national de communications électroniques pourla technologie, l’enseignement et la recherche +Résif-Epos +Réseau sismologique et géodésique français +European Plate Observing System +RMN-THC +Résonance Magnétique Nucléaire à Très Hauts Champs +SAFIRE +Service des Avions Français Instrumentés pour la Recherche en Environnement +SOLEIL +Synchrotron SOLEIL +WEST +W(Tungsten) Environment for Steady-state Tokamaks +ANAEE-France Natura +Analyses et Expérimentations sur les Ecosystèmes - France Natura +CAD +Collecteur Analyseur de Données +CALIS +Infrastructure Nationale de Recherche Consommateur-ALIment-Santé +CONTINUUM +Continuité Collaborative du Numérique vers l'Humain +ECCSEL +Infrastructure de Recherche sur le Captage, Stockage et Valorisation du CO2 (CSCV) et le Stockage Souterrain d'Energie +EMSO +European Multidisciplinary Seafloor and water column Observatory +ESO/ALMA +Atacama Large Millimeter/Submillimiter Array +FLI +France Life Imaging +France Grilles +FRISBI +Infrastructure Française pour la Biologie Structurale Integrée +ICOS-France +Système Intégré d’Observation du Carbone +Integrated Carbon Observation System +ILICO +Infrastructure de Recherche LIttorale et COtière +Infranalytics +Fédération nationale des équipements analytiques à très haut champ magnétique +IRAM +Institut de RadioAstronomie Millimétrique +LOFAR +International Low Frequency Radio Array Telescope +PARADISE +Plateforme pour les Activités de Recherche Appliquée et de Développement en Instrumentation au Sol et Embarquée +ProFI +Infrastructure Française de Protéomique +RECOLNAT +Réseau national des collections naturalistes +RnMSH +Réseau national des Maisons des Sciences de l’Homme +SKAO +SKA Observatory +CEPMMT +Centre Européen pour les Prévisions Météorologiques à Moyen Terme +European Centre for Medium-Range Weather Forecasts +EBRAINS-FR +European Brain ReseArch INfrastructureS-France +eLTER-France OZCAR +Observatoires de la Zone Critique, Applications et Recherche +EMBL +Laboratoire Européen de Biologie Moléculaire +European Molecular Biology Laboratory +ESO +Observatoire européen austral +European Southern Observatory +France Cohortes +FT-ICR +Réseau national de spectrométrie de masse FT-ICR à très haut champ +GENCI +Grand Équipement National de Calcul Intensif +LHC +Grand Collisionneur de Hadrons +Large Hadron Collider +LiPh@SAS +Livestock Phenotyping for Sustainable Agricultural Systems +Orphée/LLB +ORPHEE/Laboratoire Léon Brillouin +RENARD +REseau NAtional de Rpe interDisciplinaire +RENATECH+ +Réseau NAtional des grandes centrales de TECHnologies de nanofabrication +SILECS +Infrastructure for Large-Scale Experimental Computer Science +THEOREM +Réseau de Moyens d’Essais en Hydrodynamique pour les Énergies Marines Renouvelables diff --git a/grobid-home/lexicon/organisations/research_infrastructures_map.txt b/grobid-home/lexicon/organisations/research_infrastructures_map.txt new file mode 100644 index 0000000000..b1106ea018 --- /dev/null +++ b/grobid-home/lexicon/organisations/research_infrastructures_map.txt @@ -0,0 +1,181 @@ +EBRAINS;European Brain ReseArch INfrastructureS; +SLICES;Scientific Large-scale Infrastructure for Computing/ Communication Experimental Studies; +SoBigData++;European Integrated Infrastructure for Social Mining and Big Data Analytics; +IFMIF-DONES;International Fusion Materials Irradiation Facility - DEMO Oriented NEutron Source; +MARINERG-i;Marine Renewable Energy Research Infrastructure; +DANUBIUS-RI;International Centre for Advanced Studies on River-Sea Systems; +DiSSCo;Distributed System of Scientific Collections; +eLTER RI;Integrated European Long-Term Ecosystem, critical zone and socio-ecological system Research Infrastructure; +EIRENE RI;Research Infrastructure for EnvIRonmental Exposure assessmeNt in Europe; +EMPHASIS;European Infrastructure for Multi-scale Plant Phenomics and Simulation; +EU-IBISBA;European Industrial Biotechnology Innovation and Synthetic Biology Accelerator; +METROFOOD-RI;Infrastructure for promoting Metrology in Food and Nutritiom; +EST;European Solar Telescope; +ET;Einstein Telescope; +EuPRAXIA;European Plasma Research Accelerator with Excellence in Applications; +KM3NeT 2.0;KM3 Neutrino Telescope 2.0; +E-RIHS;European Research Infrastructure for Heritage Science; +EHRI;European Holocaust Research Infrastructure; +GGP;The Generations and Gender Programme; +GUIDE;Growing Up in Digital Europe: EuroCohort; +OPERAS;OPen scholarly communication in the European Research Area for Social Sciences and Humanities; +RESILIENCE;REligious Studies Infrastructure: tooLs, Innovation, Experts, conNections and Centres in Europe; +PRACE;Partnership for Advanced Computing in Europe; +ECCSEL;European Carbon Dioxide Capture and Storage Laboratory Infrastructure; +EU-SOLARIS;European Solar Research Infrastructure for Concentrated Solar Power; +JHR;Jules Horowitz Reactor; +ACTRIS;Aerosol, Clouds and Trace Gases Research Infrastructure; +EISCAT_3D;Next generation European Incoherent Scatter radar system; +EMSO;European Multidisciplinary Seafloor and water-column Observatory; +EPOS;European Plate Observing System; +EURO-ARGO;European contribution to the international Argo Programme; +ICOS;Integrated Carbon Observation System; +LifeWatch;e-Infrastructure for Biodiversity and Ecosystem Research; +AnaEE;Analysis and Experimentation on Ecosystems; +BBMRI;Biobanking and BioMolecular Resources Research Infrastructure; +EATRIS;European Advanced Translational Research Infrastructure in Medicine; +ECRIN;European Clinical Research Infrastructure Network; +ELIXIR;A distributed infrastructure for life-science data; +EMBRC;European Marine Biological Resource Centre; +ERINHA;European Research Infrastructure on Highly Pathogenic Agents; +EU-OPENSCREEN;European Infrastructure of Open Screening Platforms for Chemical Biology; +Euro-BioImaging;European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences; +INFRAFRONTIER;European Research Infrastructure for the generation, phenotyping, archiving and distribution of mouse disease models; +INSTRUCT;Integrated Structural Biology Infrastructure; +MIRRI;Microbial Resource Research Infrastructure; +CTA;Cherenkov Telescope Array; +ELI;Extreme Light Infrastructure; +ELT;Extremely Large Telescope; +EMFL;European Magnetic Field Laboratory; +ESRF EBS;European Synchrotron Radiation Facility Extremely Brilliant Source; +European Spallation Source;European Spallation Source; +European XFEL;European X-Ray Free-Electron Laser Facility; +FAIR;Facility for Antiproton and Ion Research; +HL-LHC;High-Luminosity Large Hadron Collider; +ILL;Institut Max von Laue - Paul Langevin; +SKAO;Square Kilometre Array Observatory; +SPIRAL2;Système de Production d’Ions Radioactifs en Ligne de 2e génération; +CESSDA;Consortium of European Social Science Data Archives; +CLARIN;Common Language Resources and Technology Infrastructure; +DARIAH;Digital Research Infrastructure for the Arts and Humanities; +ESS;European Social Survey; +SHARE;Survey of Health, Ageing and Retirement in Europe; +AGATA;Advance GAmma Tracking Array; +AnaEE;;Analyse et Expérimentation sur les Ecosystèmes +ANAEE-France ECOTRONS;;Analyses et Expérimentations sur les Écosystèmes - France ECOTRONS +Celphedia;;Infrastructure Nationale pour la création, l’élevage, le phénotypage, la distribution et l’archivage d’organismes modèles +CINES;National Computer Center for Higher Education;Centre informatique national de l'enseignement supérieur +CLIMERI;;Infrastructure de recherche nationale de modélisation du système climatique de la Terre +CollEx-Persée;;Collections d’excellence pour la Recherche - Persée +CTA;Cherenkov Telescope Array; +DUNE;Deep Underground Neutrino Experiment at the Long-Baseline Neutrino Facility; +EGO-VIRGO;European Gravitational Observatory - VIRGO;Observatoire Européen Gravitationnel - VIRGO +EMIR;;Fédération des Accélérateurs pour les Études des Matériaux sous Irradiation +EMPHASIS;European Infrastructure for multi-scale Plant Phenomics and Simulation for food security in a changing climate; +E-RIHS;European Research Infrastructure for Heritage Science; +ESRF;European Synchrotron Radiation Facility;Source Européenne de Rayonnement Synchrotron +FBI;France-BioImaging; +F-CRIN;;Plateforme Nationale d’Infrastructures de recherche Clinique +France Génomique;;Infrastructure nationale de génomique et bioinformatique associée +HAL+;;Archive ouverte de prochaine génération +HUMA-NUM;;La Très Grande Infrastructure de Recherche des Humanités Numériques +IFB;;Institut Français de Bioinformatique +INGESTEM;;Infrastructure nationale des cellules souches pluripotentes et ingénierie tissulaire +Instrum-ESO;;Instrumentation pour les grands télescopes de l’ESO +JUNO;Jiangmen Underground Neutrino Observatory; +KM3NeT;Kilometre Cube Neutrino Telescope; +LNCMI;;Laboratoire National des Champs Magnétiques Intenses +NeurATRIS;;Infrastructure de Recherche Translationnelle pour les Biothérapies en Neurosciences +OpenEdition;;Communication scientifique ouverte en sciences humaines et sociales +PNDB;;Pôle National de Données de Biodiversité +RARe;;Ressources Agronomiques pour la Recherche +Software Heritage;Software Heritage;Software Heritage +TIMES;;Transfert et Interfaces : Mathématiques, Entreprises et Société +CERN;European Organization for Nuclear Research;Organisation Européenne pour la Recherche Nucléaire +CONSTANCES;;Cohorte des consultants des Centres d’examens de santé +ECORD/IODP;European Consortium for Ocean Drilling Research/International Ocean Discovery Program;Programme international de forage profond en mer +EMERG'IN;;Infrastructure Nationale de Recherche pour la lutte contre les maladies infectieuses animales émergentes ou zoonotiques par l’exploration in vivo +EURO-ARGO;European contribution to Argo program;Réseau in-situ global d’observation des océans +FAIR;Facility for Antiproton and Ion Research; +FOF;;Flotte Océanographique Française +FR-EXPOSOME;France exposome;France exposome +GANIL-SPIRAL2;;Grand Accélérateur National d’Ions Lourds - Système de production d’Ions Radioactifs en Ligne de 2e génération +HESS;High Energy Stereoscopic System; +IAGOS;In-service Aircraft for a Global Observing System;Instruments de mesure embarqués sur avions pour l’observation globale +IN AIR;;Infrastructure Nationale des Aéronefs Instrumentés pour la Recherche +LSST;Legacy Survey of Space and Time; +MetaboHUB;;Infrastructure française distribuée pour la métabolomique et la fluxomique dédiée à l’innovation, à la formation et au transfert de technologie +Métopes;;Méthodes et outils pour l’édition structurée +NEUROSPIN;;Infrastructure de recherche sur le cerveau exploitant des grands instruments d’imagerie +PAO;Pierre Auger Observatory;Observatoire Pierre Auger +PGT;;Consortium Préindustriel des vecteurs de Thérapie Génique +ROBOTEX 2.0;;infrastructure coordonnée des plateformes de Robotique en France +LSM;;Laboratoire souterrain de Modane +ACTRIS;Aerosol, Cloud and Trace Gases Research Infrastructure; +Apollo;;Infrastructure de Recherche Apollon +CC-IN2P3;;Centre de Calcul de l’IN2P3/CNRS +CDS;Strasbourg Astronomic Data Center;Centre de Données astronomiques de Strasbourg +CFHT;Canada-France-Hawaii Telescope; +ChemBioFrance;;Plateforme de découverte de molécules bioactives pour comprendre et soigner le vivant +CONCORDIA;;Station de recherche antarctique franco-italienne +DATA TERRA;;Pôles de données et services pour le système Terre +ECELLFrance;;Plateforme nationale pour la médecine régénératrice basée sur les cellules souches mesenchymateuses adultes +eLTER-France RZA;;Réseau des Zones Ateliers - Infrastructure des Socio-écosystèmes +EMBRC;;Centre National de Ressources Biologiques Marines +EMIR&A;;Fédération des accélérateurs pour l'IRradiation et l'Analyse des molécules et Matériaux +ESS;European Spallation Source; +E-XFEL;European X-ray Free Electron Laser; +FR Solaris;;Infrastructure de Recherche française sur le solaire thermique concentré +IBISBA;Industrial Biotechnology Innovation and Synthetic Biology Acceleration; +IDMIT;;Infrastructure nationale pour la modélisation des maladies infectieuses humaines et les thérapies innovantes +ILL;;Institut Max von Laue - Paul Langevin +In-Sylva;;In-Sylva France Infrastructure Nationale de recherche pour la gestion adaptative des forêts +ISTEX;;Information scientifique et technique d'excellence +Laboratoire P4 Jean Mérieux;;Infrastructure de recherche dédiée aux maladies hautement infectieuses - Laboratoire P4 Jean Mérieux Inserm +METSA;;Microscopie Électronique en Transmission et Sonde Atomique +LMJ-PETAL;;Laser Mégajoule - PETawatt Aquitaine Laser +Phenome-Emphasis;;Infrastructure Francaise de Phenomique Végétale +PROGEDO;;PROduction et GEstion de Données +REFIMEVE;;Réseau fibre métrologique à vocation européenne +RéGEF;;Réseau Géochimique et Expérimental Français +RENATER;;Groupement d’intérêt public pour le réseau national de communications électroniques pourla technologie, l’enseignement et la recherche +Résif-Epos;European Plate Observing System;Réseau sismologique et géodésique français +RMN-THC;;Résonance Magnétique Nucléaire à Très Hauts Champs +SAFIRE;;Service des Avions Français Instrumentés pour la Recherche en Environnement +SOLEIL;;Synchrotron SOLEIL +WEST;W(Tungsten) Environment for Steady-state Tokamaks; +ANAEE-France Natura;;Analyses et Expérimentations sur les Ecosystèmes - France Natura +CAD;;Collecteur Analyseur de Données +CALIS;;Infrastructure Nationale de Recherche Consommateur-ALIment-Santé +CONTINUUM;;Continuité Collaborative du Numérique vers l'Humain +ECCSEL;;Infrastructure de Recherche sur le Captage, Stockage et Valorisation du CO2 (CSCV) et le Stockage Souterrain d'Energie +EMSO;European Multidisciplinary Seafloor and water column Observatory; +ESO/ALMA;Atacama Large Millimeter/Submillimiter Array; +FLI;France Life Imaging; +France Grilles;;France Grilles +FRISBI;;Infrastructure Française pour la Biologie Structurale Integrée +ICOS-France;Integrated Carbon Observation System;Système Intégré d’Observation du Carbone +ILICO;;Infrastructure de Recherche LIttorale et COtière +Infranalytics;;Fédération nationale des équipements analytiques à très haut champ magnétique +IRAM;;Institut de RadioAstronomie Millimétrique +LOFAR;International Low Frequency Radio Array Telescope; +PARADISE;;Plateforme pour les Activités de Recherche Appliquée et de Développement en Instrumentation au Sol et Embarquée +ProFI;;Infrastructure Française de Protéomique +RECOLNAT;;Réseau national des collections naturalistes +RnMSH;;Réseau national des Maisons des Sciences de l’Homme +SKAO;SKA Observatory; +CEPMMT;European Centre for Medium-Range Weather Forecasts;Centre Européen pour les Prévisions Météorologiques à Moyen Terme +EBRAINS-FR;European Brain ReseArch INfrastructureS-France; +eLTER-France OZCAR;;Observatoires de la Zone Critique, Applications et Recherche +EMBL;European Molecular Biology Laboratory;Laboratoire Européen de Biologie Moléculaire +ESO;European Southern Observatory;Observatoire européen austral +France Cohortes;;France Cohortes +FT-ICR;;Réseau national de spectrométrie de masse FT-ICR à très haut champ +GENCI;;Grand Équipement National de Calcul Intensif +LHC;Large Hadron Collider;Grand Collisionneur de Hadrons +LiPh@SAS;Livestock Phenotyping for Sustainable Agricultural Systems; +Orphée/LLB;;ORPHEE/Laboratoire Léon Brillouin +RENARD;;REseau NAtional de Rpe interDisciplinaire +RENATECH+;;Réseau NAtional des grandes centrales de TECHnologies de nanofabrication +SILECS;Infrastructure for Large-Scale Experimental Computer Science; +THEOREM;;Réseau de Moyens d’Essais en Hydrodynamique pour les Énergies Marines Renouvelables diff --git a/grobid-home/lexicon/organisations/ris-data-table.csv b/grobid-home/lexicon/organisations/ris-data-table.csv index 3ab36891d2..f03f0ea3f1 100644 --- a/grobid-home/lexicon/organisations/ris-data-table.csv +++ b/grobid-home/lexicon/organisations/ris-data-table.csv @@ -1,64 +1,64 @@ -name ,full name ,type ,project/landmark,thematic domain,legal status (y) ,roadmap entry (y) ,operation START (y) -EBRAINS,European Brain ReseArch INfrastructureS ,distributed,project,"DATA, COMPUTING AND DIGITAL RESEARCH IFRASTRUCTURES ","AISBL, 2019",2021,2026 -SLICES,Scientific Large-scale Infrastructure for Computing/ Communication Experimental Studies,distributed,project,"DATA, COMPUTING AND DIGITAL RESEARCH IFRASTRUCTURES ",pending,2021,2024 -SoBigData++,European Integrated Infrastructure for Social Mining and Big Data Analytics,distributed,project,"DATA, COMPUTING AND DIGITAL RESEARCH IFRASTRUCTURES ",pending,2021,2030 -IFMIF-DONES ,International Fusion Materials Irradiation Facility - DEMO Oriented NEutron Source ,single-sited ,project,ENERGY,pending,2018,2033 -MARINERG-i,Marine Renewable Energy Research Infrastructure ,distributed,project,ENERGY,pending,2021,2030 -DANUBIUS-RI ,International Centre for Advanced Studies on River-Sea Systems ,distributed,project,ENVIRONMENT,ERIC Step1 ,2016,2024 -DiSSCo ,Distributed System of Scientific Collections ,distributed,project,ENVIRONMENT,pending,2018,2025 -eLTER RI ,"Integrated European Long-Term Ecosystem, critical zone and socio-ecological system Research Infrastructure ",distributed,project,ENVIRONMENT,pending,2018,2026 -EIRENE RI ,Research Infrastructure for EnvIRonmental Exposure assessmeNt in Europe ,distributed,project,HEALTH & FOOD,pending,2021,2031 -EMPHASIS ,European Infrastructure for Multi-scale Plant Phenomics and Simulation ,distributed,project,HEALTH & FOOD,pending,2016,2021 -EU-IBISBA ,European Industrial Biotechnology Innovation and Synthetic Biology Accelerator ,distributed,project,HEALTH & FOOD,pending,2018,2025 -METROFOOD-RI ,Infrastructure for promoting Metrology in Food and Nutrition ,distributed,project,HEALTH & FOOD,pending,2018,2020 -EST ,European Solar Telescope ,single-sited ,project,PHYSICAL SCIENCES & ENGINEERING,pending,2016,2029 -ET ,Einstein Telescope ,single-sited ,project,PHYSICAL SCIENCES & ENGINEERING,pending,2021,2035 -EuPRAXIA ,European Plasma Research Accelerator with Excellence in Applications ,distributed ,project,PHYSICAL SCIENCES & ENGINEERING,pending,2021,2028 -KM3NeT 2.0 ,KM3 Neutrino Telescope 2.0 ,distributed ,project,PHYSICAL SCIENCES & ENGINEERING,pending,2016,2020 -E-RIHS ,European Research Infrastructure for Heritage Science ,distributed ,project,SOCIAL & CULTURAL INNOVATION,pending,2016,2025 -EHRI ,European Holocaust Research Infrastructure ,distributed ,project,SOCIAL & CULTURAL INNOVATION,pending,2018,2025 -GGP ,The Generations and Gender Programme ,distributed ,project,SOCIAL & CULTURAL INNOVATION,pending,2021,2028 -GUIDE ,Growing Up in Digital Europe: EuroCohort ,distributed ,project,SOCIAL & CULTURAL INNOVATION,pending,2021,2032 -OPERAS ,OPen scholarly communication in the European Research Area for Social Sciences and Humanities ,distributed ,project,SOCIAL & CULTURAL INNOVATION,"AISBL, 2019 ",2021,2029 -RESILIENCE ,"REligious Studies Infrastructure: tooLs, Innovation, Experts, conNections and Centres in Europe ",distributed ,project,SOCIAL & CULTURAL INNOVATION,pending,2021,2034 -PRACE ,Partnership for Advanced Computing in Europe ,distributed ,landmark,"DATA, COMPUTING AND DIGITAL RESEARCH IFRASTRUCTURES ","AISBL, 2010 ",2006,2010 -ECCSEL ERIC ,European Carbon Dioxide Capture and Storage Laboratory Infrastructure ,distributed ,landmark,ENERGY,"ERIC, 2017 ",2008,2016 -EU-SOLARIS ,European Solar Research Infrastructure for Concentrated Solar Power ,distributed ,landmark,ENERGY,ERIC Step2 ,2010,2022 -JHR ,Jules Horowitz Reactor ,single-sited ,landmark,ENERGY,"JHR CA, 2007 ",2006,2030 -ACTRIS ,"Aerosol, Clouds and Trace Gases Research Infrastructure ",distributed ,landmark,ENVIRONMENT,ERIC Step2 ,2016,2025 -EISCAT_3D ,Next generation European Incoherent Scatter radar system ,single-sited ,landmark,ENVIRONMENT,"EISCAT SA, 1975 ",2008,2023 -EMSO ERIC ,European Multidisciplinary Seafloor and water-column Observatory ,distributed ,landmark,ENVIRONMENT,"ERIC, 2016 ",2006,2016 -EPOS ERIC ,European Plate Observing System ,distributed ,landmark,ENVIRONMENT,"ERIC, 2018 ",2008,2023 -EURO-ARGO ERIC ,European contribution to the international Argo Programme ,distributed ,landmark,ENVIRONMENT,"ERIC, 2014 ",2006,2014 -IAGOS ,In-service Aircraft for a Global Observing System ,distributed ,landmark,ENVIRONMENT,"AISBL, 2014 ",2006,2014 -ICOS ERIC ,Integrated Carbon Observation System ,distributed ,landmark,ENVIRONMENT,"ERIC, 2015 ",2006,2016 -LifeWatch ERIC ,e-Infrastructure for Biodiversity and Ecosystem Research ,distributed ,landmark,ENVIRONMENT,"ERIC, 2017 ",2006,2017 -AnaEE ,Analysis and Experimentation on Ecosystems ,distributed ,landmark,HEALTH & FOOD,ERIC Step2 ,2010,2021 -BBMRI ERIC ,Biobanking and BioMolecular Resources Research Infrastructure ,distributed ,landmark,HEALTH & FOOD,"ERIC, 2013 ",2006,2014 -EATRIS ERIC ,European Advanced Translational Research Infrastructure in Medicine ,distributed ,landmark,HEALTH & FOOD,"ERIC, 2013 ",2006,2013 -ECRIN ERIC ,European Clinical Research Infrastructure Network ,distributed ,landmark,HEALTH & FOOD,"ERIC, 2013 ",2006,2014 -ELIXIR ,A distributed infrastructure for life-science data ,distributed ,landmark,HEALTH & FOOD,"ELIXIR CA, 2013 ",2006,2014 -EMBRC ERIC ,European Marine Biological Resource Centre ,distributed ,landmark,HEALTH & FOOD,"ERIC, 2018 ",2008,2017 -ERINHA ,European Research Infrastructure on Highly Pathogenic Agents ,distributed ,landmark,HEALTH & FOOD,"AISBL, 2017 ",2008,2018 -EU-OPENSCREEN ERIC ,European Infrastructure of Open Screening Platforms for Chemical Biology ,distributed ,landmark,HEALTH & FOOD,"ERIC, 2018 ",2008,2021 -Euro-BioImaging ERIC ,European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences ,distributed ,landmark,HEALTH & FOOD,ERIC 2019 ,2008,2016 -INFRAFRONTIER ,"European Research Infrastructure for the generation, phenotyping, archiving and distribution of mouse disease models ",distributed ,landmark,HEALTH & FOOD,"GmbH, 2013 ",2006,2013 -INSTRUCT ERIC ,Integrated Structural Biology Infrastructure ,distributed ,landmark,HEALTH & FOOD,"ERIC, 2017 ",2006,2017 -MIRRI ,Microbial Resource Research Infrastructure ,distributed ,landmark,HEALTH & FOOD,ERIC Step2 ,2010,2021 -CTA ,Cherenkov Telescope Array ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,"gGmbH, 2014 ",2008,2024 -ELI ERIC ,Extreme Light Infrastructure ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,"ERIC, 2021 ",2006,2018 -ELT ,Extremely Large Telescope ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,ESO,2006,2027 -EMFL ,European Magnetic Field Laboratory ,distributed ,landmark,PHYSICAL SCIENCES & ENGINEERING,"AISBL, 2015 ",2008,2014 -ESRF EBS ,European Synchrotron Radiation Facility Extremely Brilliant Source ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,ESRF ,2016,2020 -European Spallation Source ERIC ,European Spallation Source ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,"ERIC, 2015 ",2006,2026 -European XFEL ,European X-Ray Free-Electron Laser Facility ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,European XFEL ,2006,2017 -FAIR ,Facility for Antiproton and Ion Research ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,"GmbH, 2010 ",2006,2925 -HL-LHC ,High-Luminosity Large Hadron Collider ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,CERN,2016,2027 -ILL ,Institut Max von Laue - Paul Langevin ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,ILL ,2006,2012 -SKAO ,Square Kilometre Array Observatory ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,"SKAO, 2011 ",2006,2027 -SPIRAL2 ,Systme de Production dIons Radioactifs en Ligne de 2e gnration ,single-sited ,landmark,PHYSICAL SCIENCES & ENGINEERING,GANIL ,2006,2019 -CESSDA ERIC ,Consortium of European Social Science Data Archives ,distributed ,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2017 ",2006,2013 -CLARIN ERIC ,Common Language Resources and Technology Infrastructure ,distributed ,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2012 ",2006,2012 -DARIAH ERIC ,Digital Research Infrastructure for the Arts and Humanities ,distributed ,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2014 ",2006,2019 -ESS ERIC ,European Social Survey ,distributed ,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2013 ",2006,2013 -SHARE ERIC ,"Survey of Health, Ageing and Retirement in Europe ",distributed ,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2011 ",2006,2011 +name,full name,type,project/landmark,thematic domain,legal status (y),roadmap entry (y),operation START (y) +EBRAINS,European Brain ReseArch INfrastructureS,distributed,project,"DATA, COMPUTING AND DIGITAL RESEARCH IFRASTRUCTURES","AISBL, 2019",2021,2026 +SLICES,Scientific Large-scale Infrastructure for Computing/ Communication Experimental Studies,distributed,project,"DATA, COMPUTING AND DIGITAL RESEARCH IFRASTRUCTURES",pending,2021,2024 +SoBigData++,European Integrated Infrastructure for Social Mining and Big Data Analytics,distributed,project,"DATA, COMPUTING AND DIGITAL RESEARCH IFRASTRUCTURES",pending,2021,2030 +IFMIF-DONES,International Fusion Materials Irradiation Facility - DEMO Oriented NEutron Source,single-sited,project,ENERGY,pending,2018,2033 +MARINERG-i,Marine Renewable Energy Research Infrastructure,distributed,project,ENERGY,pending,2021,2030 +DANUBIUS-RI,International Centre for Advanced Studies on River-Sea Systems,distributed,project,ENVIRONMENT,ERIC Step1,2016,2024 +DiSSCo,Distributed System of Scientific Collections,distributed,project,ENVIRONMENT,pending,2018,2025 +eLTER RI,"Integrated European Long-Term Ecosystem, critical zone and socio-ecological system Research Infrastructure",distributed,project,ENVIRONMENT,pending,2018,2026 +EIRENE RI,Research Infrastructure for EnvIRonmental Exposure assessmeNt in Europe,distributed,project,HEALTH & FOOD,pending,2021,2031 +EMPHASIS,European Infrastructure for Multi-scale Plant Phenomics and Simulation,distributed,project,HEALTH & FOOD,pending,2016,2021 +EU-IBISBA,European Industrial Biotechnology Innovation and Synthetic Biology Accelerator,distributed,project,HEALTH & FOOD,pending,2018,2025 +METROFOOD-RI,Infrastructure for promoting Metrology in Food and Nutrition,distributed,project,HEALTH & FOOD,pending,2018,2020 +EST,European Solar Telescope,single-sited,project,PHYSICAL SCIENCES & ENGINEERING,pending,2016,2029 +ET,Einstein Telescope,single-sited,project,PHYSICAL SCIENCES & ENGINEERING,pending,2021,2035 +EuPRAXIA,European Plasma Research Accelerator with Excellence in Applications,distributed,project,PHYSICAL SCIENCES & ENGINEERING,pending,2021,2028 +KM3NeT 2.0,KM3 Neutrino Telescope 2.0,distributed,project,PHYSICAL SCIENCES & ENGINEERING,pending,2016,2020 +E-RIHS,European Research Infrastructure for Heritage Science,distributed,project,SOCIAL & CULTURAL INNOVATION,pending,2016,2025 +EHRI,European Holocaust Research Infrastructure,distributed,project,SOCIAL & CULTURAL INNOVATION,pending,2018,2025 +GGP,The Generations and Gender Programme,distributed,project,SOCIAL & CULTURAL INNOVATION,pending,2021,2028 +GUIDE,Growing Up in Digital Europe: EuroCohort,distributed,project,SOCIAL & CULTURAL INNOVATION,pending,2021,2032 +OPERAS,OPen scholarly communication in the European Research Area for Social Sciences and Humanities,distributed,project,SOCIAL & CULTURAL INNOVATION,"AISBL, 2019",2021,2029 +RESILIENCE,"REligious Studies Infrastructure: tooLs, Innovation, Experts, conNections and Centres in Europe",distributed,project,SOCIAL & CULTURAL INNOVATION,pending,2021,2034 +PRACE,Partnership for Advanced Computing in Europe,distributed,landmark,"DATA, COMPUTING AND DIGITAL RESEARCH IFRASTRUCTURES","AISBL, 2010",2006,2010 +ECCSEL ERIC,European Carbon Dioxide Capture and Storage Laboratory Infrastructure,distributed,landmark,ENERGY,"ERIC, 2017",2008,2016 +EU-SOLARIS,European Solar Research Infrastructure for Concentrated Solar Power,distributed,landmark,ENERGY,ERIC Step2,2010,2022 +JHR,Jules Horowitz Reactor,single-sited,landmark,ENERGY,"JHR CA, 2007",2006,2030 +ACTRIS,"Aerosol, Clouds and Trace Gases Research Infrastructure",distributed,landmark,ENVIRONMENT,ERIC Step2,2016,2025 +EISCAT_3D,Next generation European Incoherent Scatter radar system,single-sited,landmark,ENVIRONMENT,"EISCAT SA, 1975",2008,2023 +EMSO ERIC,European Multidisciplinary Seafloor and water-column Observatory,distributed,landmark,ENVIRONMENT,"ERIC, 2016",2006,2016 +EPOS ERIC,European Plate Observing System,distributed,landmark,ENVIRONMENT,"ERIC, 2018",2008,2023 +EURO-ARGO ERIC,European contribution to the international Argo Programme,distributed,landmark,ENVIRONMENT,"ERIC, 2014",2006,2014 +IAGOS,In-service Aircraft for a Global Observing System,distributed,landmark,ENVIRONMENT,"AISBL, 2014",2006,2014 +ICOS ERIC,Integrated Carbon Observation System,distributed,landmark,ENVIRONMENT,"ERIC, 2015",2006,2016 +LifeWatch ERIC,e-Infrastructure for Biodiversity and Ecosystem Research,distributed,landmark,ENVIRONMENT,"ERIC, 2017",2006,2017 +AnaEE,Analysis and Experimentation on Ecosystems,distributed,landmark,HEALTH & FOOD,ERIC Step2,2010,2021 +BBMRI ERIC,Biobanking and BioMolecular Resources Research Infrastructure,distributed,landmark,HEALTH & FOOD,"ERIC, 2013",2006,2014 +EATRIS ERIC,European Advanced Translational Research Infrastructure in Medicine,distributed,landmark,HEALTH & FOOD,"ERIC, 2013",2006,2013 +ECRIN ERIC,European Clinical Research Infrastructure Network,distributed,landmark,HEALTH & FOOD,"ERIC, 2013",2006,2014 +ELIXIR,A distributed infrastructure for life-science data,distributed,landmark,HEALTH & FOOD,"ELIXIR CA, 2013",2006,2014 +EMBRC ERIC,European Marine Biological Resource Centre,distributed,landmark,HEALTH & FOOD,"ERIC, 2018",2008,2017 +ERINHA,European Research Infrastructure on Highly Pathogenic Agents,distributed,landmark,HEALTH & FOOD,"AISBL, 2017",2008,2018 +EU-OPENSCREEN ERIC,European Infrastructure of Open Screening Platforms for Chemical Biology,distributed,landmark,HEALTH & FOOD,"ERIC, 2018",2008,2021 +Euro-BioImaging ERIC,European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences,distributed,landmark,HEALTH & FOOD,ERIC 2019,2008,2016 +INFRAFRONTIER,"European Research Infrastructure for the generation, phenotyping, archiving and distribution of mouse disease models",distributed,landmark,HEALTH & FOOD,"GmbH, 2013",2006,2013 +INSTRUCT ERIC,Integrated Structural Biology Infrastructure,distributed,landmark,HEALTH & FOOD,"ERIC, 2017",2006,2017 +MIRRI,Microbial Resource Research Infrastructure,distributed,landmark,HEALTH & FOOD,ERIC Step2,2010,2021 +CTA,Cherenkov Telescope Array,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,"gGmbH, 2014",2008,2024 +ELI ERIC,Extreme Light Infrastructure,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,"ERIC, 2021",2006,2018 +ELT,Extremely Large Telescope,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,ESO,2006,2027 +EMFL,European Magnetic Field Laboratory,distributed,landmark,PHYSICAL SCIENCES & ENGINEERING,"AISBL, 2015",2008,2014 +ESRF EBS,European Synchrotron Radiation Facility Extremely Brilliant Source,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,ESRF,2016,2020 +European Spallation Source ERIC,European Spallation Source,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,"ERIC, 2015",2006,2026 +European XFEL,European X-Ray Free-Electron Laser Facility,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,European XFEL,2006,2017 +FAIR,Facility for Antiproton and Ion Research,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,"GmbH, 2010",2006,2925 +HL-LHC,High-Luminosity Large Hadron Collider,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,CERN,2016,2027 +ILL,Institut Max von Laue - Paul Langevin,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,ILL,2006,2012 +SKAO,Square Kilometre Array Observatory,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,"SKAO, 2011",2006,2027 +SPIRAL2,Systme de Production dIons Radioactifs en Ligne de 2e gnration,single-sited,landmark,PHYSICAL SCIENCES & ENGINEERING,GANIL,2006,2019 +CESSDA ERIC,Consortium of European Social Science Data Archives,distributed,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2017",2006,2013 +CLARIN ERIC,Common Language Resources and Technology Infrastructure,distributed,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2012",2006,2012 +DARIAH ERIC,Digital Research Infrastructure for the Arts and Humanities,distributed,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2014",2006,2019 +ESS ERIC,European Social Survey,distributed,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2013",2006,2013 +SHARE ERIC,"Survey of Health, Ageing and Retirement in Europe",distributed,landmark,SOCIAL & CULTURAL INNOVATION,"ERIC, 2011",2006,2011 diff --git a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/config.json b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/config.json index 48b97277ad..badf919076 100644 --- a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/config.json +++ b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/config.json @@ -2,7 +2,7 @@ "model_name": "funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo", "architecture": "BidLSTM_CRF_FEATURES", "embeddings_name": "glove-840B", - "char_vocab_size": 148, + "char_vocab_size": 150, "case_vocab_size": 8, "char_embedding_size": 25, "num_char_lstm_units": 25, @@ -14,7 +14,8 @@ 11, 12, 13, - 14 + 14, + 15 ], "features_embedding_size": 4, "features_lstm_units": 4, @@ -55,14 +56,18 @@ "1": 50 }, "14": { - "COMMA": 61, - "DOT": 62, - "ENDBRACKET": 63, - "HYPHEN": 64, - "NOPUNCT": 65, - "OPENBRACKET": 66, - "PUNCT": 67, - "QUOTE": 68 + "0": 61, + "1": 62 + }, + "15": { + "COMMA": 73, + "DOT": 74, + "ENDBRACKET": 75, + "HYPHEN": 76, + "NOPUNCT": 77, + "OPENBRACKET": 78, + "PUNCT": 79, + "QUOTE": 80 } } } \ No newline at end of file diff --git a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/model_weights.hdf5 b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/model_weights.hdf5 index 80a073ed14..f0a6188b65 100644 Binary files a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/model_weights.hdf5 and b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/model_weights.hdf5 differ diff --git a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/preprocessor.json b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/preprocessor.json index 465a563880..cff5ff1c07 100644 --- a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/preprocessor.json +++ b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES-with_ELMo/preprocessor.json @@ -144,17 +144,19 @@ "\u015f": 134, "\u016f": 135, "\u0229": 136, - "\u03b2": 137, - "\u03b3": 138, - "\u0430": 139, - "\u1e4d": 140, - "\u2019": 141, - "\u201c": 142, - "\u201d": 143, - "\u2020": 144, - "\u20ac": 145, - "\u2116": 146, - "\u25a1": 147 + "\u02da": 137, + "\u03b2": 138, + "\u03b3": 139, + "\u03bc": 140, + "\u0430": 141, + "\u1e4d": 142, + "\u2019": 143, + "\u201c": 144, + "\u201d": 145, + "\u2020": 146, + "\u20ac": 147, + "\u2116": 148, + "\u25a1": 149 }, "vocab_tag": { "": 0, @@ -162,19 +164,21 @@ "B-": 2, "B-": 3, "B-": 4, - "B-": 5, - "B-": 6, - "B-": 7, - "B-": 8, - "I-": 9, - "I-": 10, - "I-": 11, - "I-": 12, - "I-": 13, - "I-": 14, - "I-": 15, - "I-": 16, - "O": 17 + "B-": 5, + "B-": 6, + "B-": 7, + "B-": 8, + "B-": 9, + "I-": 10, + "I-": 11, + "I-": 12, + "I-": 13, + "I-": 14, + "I-": 15, + "I-": 16, + "I-": 17, + "I-": 18, + "O": 19 }, "vocab_case": [ "", @@ -195,7 +199,8 @@ 11, 12, 13, - 14 + 14, + 15 ], "features_map_to_index": { "9": { @@ -222,14 +227,18 @@ "1": 50 }, "14": { - "COMMA": 61, - "DOT": 62, - "ENDBRACKET": 63, - "HYPHEN": 64, - "NOPUNCT": 65, - "OPENBRACKET": 66, - "PUNCT": 67, - "QUOTE": 68 + "0": 61, + "1": 62 + }, + "15": { + "COMMA": 73, + "DOT": 74, + "ENDBRACKET": 75, + "HYPHEN": 76, + "NOPUNCT": 77, + "OPENBRACKET": 78, + "PUNCT": 79, + "QUOTE": 80 } } }, @@ -239,18 +248,20 @@ "2": "B-", "3": "B-", "4": "B-", - "5": "B-", - "6": "B-", - "7": "B-", - "8": "B-", - "9": "I-", - "10": "I-", - "11": "I-", - "12": "I-", - "13": "I-", - "14": "I-", - "15": "I-", - "16": "I-", - "17": "O" + "5": "B-", + "6": "B-", + "7": "B-", + "8": "B-", + "9": "B-", + "10": "I-", + "11": "I-", + "12": "I-", + "13": "I-", + "14": "I-", + "15": "I-", + "16": "I-", + "17": "I-", + "18": "I-", + "19": "O" } } \ No newline at end of file diff --git a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/config.json b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/config.json index d676ec01b6..5b63a1b3c9 100644 --- a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/config.json +++ b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/config.json @@ -2,7 +2,7 @@ "model_name": "funding-acknowledgement-BidLSTM_CRF_FEATURES", "architecture": "BidLSTM_CRF_FEATURES", "embeddings_name": "glove-840B", - "char_vocab_size": 148, + "char_vocab_size": 150, "case_vocab_size": 8, "char_embedding_size": 25, "num_char_lstm_units": 25, @@ -14,7 +14,8 @@ 11, 12, 13, - 14 + 14, + 15 ], "features_embedding_size": 4, "features_lstm_units": 4, @@ -55,14 +56,18 @@ "1": 50 }, "14": { - "COMMA": 61, - "DOT": 62, - "ENDBRACKET": 63, - "HYPHEN": 64, - "NOPUNCT": 65, - "OPENBRACKET": 66, - "PUNCT": 67, - "QUOTE": 68 + "0": 61, + "1": 62 + }, + "15": { + "COMMA": 73, + "DOT": 74, + "ENDBRACKET": 75, + "HYPHEN": 76, + "NOPUNCT": 77, + "OPENBRACKET": 78, + "PUNCT": 79, + "QUOTE": 80 } } } \ No newline at end of file diff --git a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/model_weights.hdf5 b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/model_weights.hdf5 index 5441dcdad7..acbce9458b 100644 Binary files a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/model_weights.hdf5 and b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/model_weights.hdf5 differ diff --git a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/preprocessor.json b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/preprocessor.json index 465a563880..cff5ff1c07 100644 --- a/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/preprocessor.json +++ b/grobid-home/models/funding-acknowledgement-BidLSTM_CRF_FEATURES/preprocessor.json @@ -144,17 +144,19 @@ "\u015f": 134, "\u016f": 135, "\u0229": 136, - "\u03b2": 137, - "\u03b3": 138, - "\u0430": 139, - "\u1e4d": 140, - "\u2019": 141, - "\u201c": 142, - "\u201d": 143, - "\u2020": 144, - "\u20ac": 145, - "\u2116": 146, - "\u25a1": 147 + "\u02da": 137, + "\u03b2": 138, + "\u03b3": 139, + "\u03bc": 140, + "\u0430": 141, + "\u1e4d": 142, + "\u2019": 143, + "\u201c": 144, + "\u201d": 145, + "\u2020": 146, + "\u20ac": 147, + "\u2116": 148, + "\u25a1": 149 }, "vocab_tag": { "": 0, @@ -162,19 +164,21 @@ "B-": 2, "B-": 3, "B-": 4, - "B-": 5, - "B-": 6, - "B-": 7, - "B-": 8, - "I-": 9, - "I-": 10, - "I-": 11, - "I-": 12, - "I-": 13, - "I-": 14, - "I-": 15, - "I-": 16, - "O": 17 + "B-": 5, + "B-": 6, + "B-": 7, + "B-": 8, + "B-": 9, + "I-": 10, + "I-": 11, + "I-": 12, + "I-": 13, + "I-": 14, + "I-": 15, + "I-": 16, + "I-": 17, + "I-": 18, + "O": 19 }, "vocab_case": [ "", @@ -195,7 +199,8 @@ 11, 12, 13, - 14 + 14, + 15 ], "features_map_to_index": { "9": { @@ -222,14 +227,18 @@ "1": 50 }, "14": { - "COMMA": 61, - "DOT": 62, - "ENDBRACKET": 63, - "HYPHEN": 64, - "NOPUNCT": 65, - "OPENBRACKET": 66, - "PUNCT": 67, - "QUOTE": 68 + "0": 61, + "1": 62 + }, + "15": { + "COMMA": 73, + "DOT": 74, + "ENDBRACKET": 75, + "HYPHEN": 76, + "NOPUNCT": 77, + "OPENBRACKET": 78, + "PUNCT": 79, + "QUOTE": 80 } } }, @@ -239,18 +248,20 @@ "2": "B-", "3": "B-", "4": "B-", - "5": "B-", - "6": "B-", - "7": "B-", - "8": "B-", - "9": "I-", - "10": "I-", - "11": "I-", - "12": "I-", - "13": "I-", - "14": "I-", - "15": "I-", - "16": "I-", - "17": "O" + "5": "B-", + "6": "B-", + "7": "B-", + "8": "B-", + "9": "B-", + "10": "I-", + "11": "I-", + "12": "I-", + "13": "I-", + "14": "I-", + "15": "I-", + "16": "I-", + "17": "I-", + "18": "I-", + "19": "O" } } \ No newline at end of file diff --git a/grobid-home/models/funding-acknowledgement/model.wapiti b/grobid-home/models/funding-acknowledgement/model.wapiti index 797124adb6..52a2eed062 100644 --- a/grobid-home/models/funding-acknowledgement/model.wapiti +++ b/grobid-home/models/funding-acknowledgement/model.wapiti @@ -1,5 +1,5 @@ -#mdl#2#12356 -#rdr#47/15/0 +#mdl#2#15784 +#rdr#100/16/0 12:u00:%x[-3,0], 12:u01:%x[-2,0], 12:u02:%x[-1,0], @@ -41,13 +41,66 @@ 12:u80:%x[0,14], 13:u82:%x[-1,14], 12:u84:%x[1,14], -12:u90:%x[0,15], -13:u91:%x[-1,15], -13:u92:%x[-2,15], -12:u93:%x[1,15], -12:u94:%x[2,15], +12:u80:%x[0,15], +13:u82:%x[-1,15], +12:u84:%x[1,15], +12:u90:%x[0,16], +13:u91:%x[-1,16], +13:u92:%x[-2,16], +12:u93:%x[1,16], +12:u94:%x[2,16], 1:b, -#qrk#18 +12:u00:%x[-3,0], +12:u01:%x[-2,0], +12:u02:%x[-1,0], +11:u03:%x[0,0], +11:u04:%x[1,0], 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-8:u01:here, 12:u0A:here/are, -8:u10:here, -8:u00:here, 9:u06:alone, 9:u05:alone, 17:u09:authors/alone, @@ -54738,45 +65535,33 @@ 8:u06:HeLa, 14:u09:utilized/a, 8:u05:HeLa, -8:u06:cell, 14:u08:utilized/a, 10:u09:a/HeLa, 8:u14:hela, 8:u04:HeLa, -8:u05:cell, 14:u07:utilized/a, 10:u08:a/HeLa, 13:u09:HeLa/cell, 8:u13:hela, -8:u14:cell, 8:u03:HeLa, -8:u04:cell, 10:u07:a/HeLa, 13:u08:HeLa/cell, 13:u09:cell/line, 14:u0A:utilized/a, 8:u12:hela, -8:u13:cell, 7:u22:HeL, 8:u23:HeLa, 6:u31:La, 7:u32:eLa, 8:u33:HeLa, 8:u02:HeLa, -8:u03:cell, 13:u06:Henrietta, 13:u07:HeLa/cell, 13:u08:cell/line, 10:u09:line/., 10:u0A:a/HeLa, 8:u11:hela, -8:u12:cell, -6:u21:ce, -7:u22:cel, -8:u23:cell, -8:u33:cell, 8:u01:HeLa, -8:u02:cell, 13:u05:Henrietta, 9:u06:Lacks, 13:u07:cell/line, @@ -54784,20 +65569,16 @@ 15:u09:./Henrietta, 13:u0A:HeLa/cell, 8:u10:hela, -8:u11:cell, 13:u14:henrietta, 8:u00:HeLa, -8:u01:cell, 13:u04:Henrietta, 9:u05:Lacks, 10:u07:line/., 15:u08:./Henrietta, 19:u09:Henrietta/Lacks, 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15:u09:without/her, 13:u0A:her/tumor, 9:u11:tumor, -9:u12:cells, 11:u13:without, -7:u32:lls, -8:u33:ells, 9:u01:tumor, -9:u02:cells, 11:u03:without, 13:u05:knowledge, 17:u07:cells/without, @@ -54916,12 +65686,10 @@ 17:u09:her/knowledge, 15:u0A:tumor/cells, 9:u10:tumor, -9:u11:cells, 11:u12:without, 13:u14:knowledge, 8:u33:hout, 9:u00:tumor, -9:u01:cells, 11:u02:without, 13:u04:knowledge, 11:u06:consent, @@ -54929,10 +65697,8 @@ 17:u08:her/knowledge, 16:u09:knowledge/or, 17:u0A:cells/without, -9:u10:cells, 11:u11:without, 13:u13:knowledge, -9:u00:cells, 11:u01:without, 13:u03:knowledge, 11:u05:consent, @@ -55057,8 +65823,6 @@ 20:u0A:contributions/to, 17:u10:contributions, 12:u13:progress, -7:u22:sci, -8:u23:scie, 17:u00:contributions, 14:u02:scientific, 12:u03:progress, @@ -55069,11 +65833,9 @@ 17:u0A:to/scientific, 12:u12:progress, 12:u14:advances, -8:u33:ress, 14:u01:scientific, 12:u02:progress, 12:u04:advances, -9:u06:human, 16:u07:progress/and, 16:u08:and/advances, 15:u09:advances/in, @@ -55083,7 +65845,6 @@ 14:u00:scientific, 12:u01:progress, 12:u03:advances, -9:u05:human, 16:u07:and/advances, 15:u08:advances/in, 12:u09:in/human, @@ -55093,27 +65854,21 @@ 8:u23:adva, 12:u00:progress, 12:u02:advances, -9:u04:human, 15:u07:advances/in, 12:u08:in/human, 16:u09:human/health, 16:u0A:and/advances, 12:u11:advances, 12:u01:advances, -9:u03:human, 12:u07:in/human, 16:u08:human/health, 12:u09:health/., 15:u0A:advances/in, 12:u10:advances, -7:u22:hum, -8:u23:huma, 12:u00:advances, -9:u02:human, 16:u07:human/health, 12:u08:health/., 12:u0A:in/human, -9:u01:human, 12:u07:health/., 16:u0A:human/health, 9:u00:human, @@ -55178,7 +65933,6 @@ 18:u09:family/members, 10:u0A:to/her, 13:u12:surviving, -7:u22:sur, 8:u23:surv, 13:u02:surviving, 10:u03:family, @@ -55231,8 +65985,6 @@ 13:u0A:The/human, 11:u12:seminal, 12:u13:vesicles, -7:u22:sem, -8:u23:semi, 11:u02:seminal, 12:u03:vesicles, 20:u07:seminal/vesicles, @@ -55299,8 +66051,6 @@ 15:u09:Monfort/for, 13:u12:christine, 11:u13:monfort, -7:u22:Chr, -8:u23:Chri, 8:u33:tine, 13:u02:Christine, 11:u03:Monfort, @@ -55311,7 +66061,6 @@ 19:u0A:thank/Christine, 13:u11:christine, 11:u12:monfort, -15:u14:statistical, 8:u23:Monf, 8:u33:fort, 13:u01:Christine, @@ -55323,7 +66072,6 @@ 21:u0A:Christine/Monfort, 13:u10:christine, 11:u11:monfort, -15:u13:statistical, 13:u00:Christine, 11:u01:Monfort, 15:u03:statistical, @@ -55332,17 +66080,14 @@ 14:u09:analysis/., 15:u0A:Monfort/for, 11:u10:monfort, -15:u12:statistical, 11:u00:Monfort, 15:u02:statistical, 24:u07:statistical/analysis, 14:u08:analysis/., 19:u0A:for/statistical, -15:u11:statistical, 15:u01:statistical, 14:u07:analysis/., 24:u0A:statistical/analysis, -15:u10:statistical, 6:u03:To, 10:u05:Marize, 16:u06:Miagostovich, @@ -55416,7 +66161,6 @@ 15:u09:Saraiva/for, 10:u12:eliana, 11:u13:saraiva, -7:u22:Eli, 8:u23:Elia, 8:u33:iana, 10:u02:Eliana, @@ -55476,7 +66220,6 @@ 13:u12:diagnosis, 7:u22:dia, 8:u23:diag, -8:u33:osis, 16:u01:laboratorial, 13:u02:diagnosis, 17:u07:diagnosis/and, @@ -55664,7 +66407,6 @@ 13:u09:,/Fiocruz, 14:u12:immunology, 11:u14:fiocruz, -7:u22:Imm, 8:u23:Immu, 14:u02:Immunology, 11:u04:Fiocruz, @@ -55727,7 +66469,6 @@ 11:u11:ricardo, 10:u12:galler, 14:u14:critically, -6:u21:Ga, 7:u22:Gal, 8:u23:Gall, 8:u33:ller, @@ -55917,19 +66658,15 @@ 16:u00:enthusiastic, 15:u07:and/support, 21:u0A:participation/and, -11:u09:We/also, 15:u0A:and/support, 7:u06:Drs, -11:u08:We/also, 7:u05:Drs, -11:u07:We/also, 13:u09:thank/Drs, 7:u14:drs, 7:u04:Drs, 9:u06:Rajiv, 13:u08:thank/Drs, 9:u09:Drs/., -11:u0A:We/also, 7:u13:drs, 7:u03:Drs, 9:u05:Rajiv, @@ -56142,7 +66879,6 @@ 11:u08:all/the, 15:u0A:cohorts/and, 11:u10:cohorts, -7:u22:all, 7:u23:all, 7:u33:all, 11:u00:cohorts, @@ -56152,18 +66888,14 @@ 11:u0A:and/all, 7:u01:all, 17:u08:support/staff, -12:u09:staff/of, 11:u0A:all/the, 7:u00:all, 17:u07:support/staff, -12:u08:staff/of, -12:u07:staff/of, 16:u09:the/Division, 17:u0A:support/staff, 20:u06:Gastrointestinal, 16:u08:the/Division, 15:u09:Division/of, -12:u0A:staff/of, 20:u05:Gastrointestinal, 16:u07:the/Division, 15:u08:Division/of, @@ -56176,47 +66908,29 @@ 16:u0A:the/Division, 20:u13:gastrointestinal, 20:u03:Gastrointestinal, -13:u06:Christian, 23:u07:of/Gastrointestinal, 29:u08:Gastrointestinal/Sciences, 15:u0A:Division/of, 20:u12:gastrointestinal, -7:u22:Gas, 8:u23:Gast, 20:u02:Gastrointestinal, -13:u05:Christian, 29:u07:Gastrointestinal/Sciences, -15:u09:,/Christian, 23:u0A:of/Gastrointestinal, 20:u11:gastrointestinal, -13:u14:christian, 20:u01:Gastrointestinal, -13:u04:Christian, -15:u08:,/Christian, 21:u09:Christian/Medical, 29:u0A:Gastrointestinal/Sciences, 20:u10:gastrointestinal, -13:u13:christian, 20:u00:Gastrointestinal, -13:u03:Christian, -15:u07:,/Christian, 21:u08:Christian/Medical, 19:u09:Medical/College, -13:u12:christian, -8:u33:tian, -13:u02:Christian, 21:u07:Christian/Medical, 19:u08:Medical/College, 13:u09:College/,, -15:u0A:,/Christian, -13:u11:christian, -13:u01:Christian, 19:u07:Medical/College, 13:u08:College/,, 13:u09:,/Vellore, 21:u0A:Christian/Medical, -13:u10:christian, -13:u00:Christian, 13:u07:College/,, 13:u08:,/Vellore, 13:u09:Vellore/,, @@ -56567,7 +67281,6 @@ 18:u0A:and/Stiftelsen, 14:u11:stiftelsen, 13:u12:samariten, -8:u23:Sama, 14:u01:Stiftelsen, 13:u02:Samariten, 15:u07:Samariten/., @@ -56766,7 +67479,6 @@ 24:u08:Arrhenius/Laboratory, 18:u09:Laboratory/for, 13:u12:arrhenius, -7:u22:Arr, 8:u23:Arrh, 8:u33:nius, 13:u02:Arrhenius, @@ -56889,8 +67601,6 @@ 9:u12:fonds, 7:u13:der, 14:u14:chemischen, -7:u22:Fon, -8:u23:Fond, 8:u33:onds, 9:u02:Fonds, 7:u03:der, @@ -57114,86 +67824,33 @@ 18:u07:supported/this, 21:u0A:Council/supported, 18:u0A:supported/this, -9:u05:would, -8:u06:like, -17:u09:authors/would, -9:u14:would, -9:u04:would, -8:u05:like, -17:u08:authors/would, -14:u09:would/like, -9:u13:would, -8:u14:like, -9:u03:would, -8:u04:like, -17:u07:authors/would, -14:u08:would/like, -11:u09:like/to, -9:u12:would, -8:u13:like, -7:u22:wou, -8:u23:woul, -9:u02:would, -8:u03:like, -10:u06:Michel, -14:u07:would/like, -11:u08:like/to, -17:u0A:authors/would, -9:u11:would, -8:u12:like, -7:u32:ike, -8:u33:like, -9:u01:would, -8:u02:like, -10:u05:Michel, 10:u06:Cantou, -11:u07:like/to, 16:u09:thank/Michel, -14:u0A:would/like, -9:u10:would, -8:u11:like, -10:u14:michel, -9:u00:would, -8:u01:like, -10:u04:Michel, 10:u05:Cantou, 16:u08:thank/Michel, 17:u09:Michel/Cantou, -11:u0A:like/to, -8:u10:like, -10:u13:michel, 10:u14:cantou, -8:u00:like, -10:u03:Michel, 10:u04:Cantou, 16:u07:thank/Michel, 17:u08:Michel/Cantou, 14:u09:Cantou/for, -10:u12:michel, 10:u13:cantou, -7:u32:hel, -8:u33:chel, -10:u02:Michel, 10:u03:Cantou, 12:u06:sampling, 17:u07:Michel/Cantou, 14:u08:Cantou/for, 16:u0A:thank/Michel, -10:u11:michel, 10:u12:cantou, 8:u23:Cant, 7:u32:tou, 8:u33:ntou, -10:u01:Michel, 10:u02:Cantou, 12:u05:sampling, 14:u07:Cantou/for, 16:u09:the/sampling, 17:u0A:Michel/Cantou, -10:u10:michel, 10:u11:cantou, 12:u14:sampling, -10:u00:Michel, 10:u01:Cantou, 12:u04:sampling, 12:u06:bivalves, @@ -57440,9 +68097,6 @@ 8:u10:eggs, 15:u12:maximillien, 8:u13:cuny, -8:u23:Maxi, -7:u32:ien, -8:u33:lien, 8:u00:eggs, 15:u02:Maximillien, 8:u03:Cuny, @@ -57728,7 +68382,6 @@ 19:u07:grant/allocated, 16:u08:allocated/by, 13:u12:allocated, -8:u23:allo, 13:u02:allocated, 10:u05:MEEDDM, 16:u07:allocated/by, @@ -57738,7 +68391,6 @@ 10:u14:meeddm, 13:u01:allocated, 10:u04:MEEDDM, -14:u06:Ministère, 14:u08:the/MEEDDM, 12:u09:MEEDDM/(, 16:u0A:allocated/by, @@ -57746,78 +68398,53 @@ 10:u13:meeddm, 13:u00:allocated, 10:u03:MEEDDM, -14:u05:Ministère, 14:u07:the/MEEDDM, 12:u08:MEEDDM/(, 16:u09:(/Ministère, 10:u12:meeddm, -14:u14:ministère, 7:u22:MEE, 8:u23:MEED, 8:u33:EDDM, 10:u02:MEEDDM, -14:u04:Ministère, 12:u07:MEEDDM/(, 16:u08:(/Ministère, -17:u09:Ministère/de, 14:u0A:the/MEEDDM, 10:u11:meeddm, -14:u13:ministère, 10:u01:MEEDDM, -14:u03:Ministère, 16:u07:(/Ministère, -17:u08:Ministère/de, -8:u09:de/l, 12:u0A:MEEDDM/(, 10:u10:meeddm, -14:u12:ministère, -8:u32:ère, -9:u33:tère, 10:u00:MEEDDM, -14:u02:Ministère, 12:u06:Ecologie, -17:u07:Ministère/de, -8:u08:de/l, 7:u09:l/", 16:u0A:(/Ministère, -14:u11:ministère, -14:u01:Ministère, 12:u05:Ecologie, -8:u07:de/l, 7:u08:l/", 14:u09:"/Ecologie, -17:u0A:Ministère/de, -14:u10:ministère, 12:u14:ecologie, -14:u00:Ministère, 12:u04:Ecologie, 7:u07:l/", 14:u08:"/Ecologie, 14:u09:Ecologie/,, -8:u0A:de/l, 12:u13:ecologie, 12:u03:Ecologie, 14:u07:"/Ecologie, 14:u08:Ecologie/,, -8:u09:,/de, 7:u0A:l/", 12:u12:ecologie, 8:u23:Ecol, 8:u33:ogie, 12:u02:Ecologie, 14:u07:Ecologie/,, -8:u08:,/de, 14:u0A:"/Ecologie, 12:u11:ecologie, 12:u01:Ecologie, 11:u06:Energie, -8:u07:,/de, 14:u0A:Ecologie/,, 12:u10:ecologie, 12:u00:Ecologie, 11:u05:Energie, 13:u09:"/Energie, -8:u0A:,/de, 11:u14:energie, 11:u04:Energie, 6:u06:du, @@ -57848,7 +68475,6 @@ 6:u03:du, 18:u04:Développement, 11:u05:Durable, -6:u06:et, 8:u07:,/du, 21:u08:du/Développement, 26:u09:Développement/Durable, @@ -57866,7 +68492,6 @@ 6:u02:du, 18:u03:Développement, 11:u04:Durable, -6:u05:et, 21:u07:du/Développement, 26:u08:Développement/Durable, 14:u09:Durable/et, @@ -57874,94 +68499,55 @@ 6:u11:du, 18:u12:développement, 11:u13:durable, -6:u14:et, 7:u21:Dé, 8:u22:Dév, 9:u23:Déve, 6:u01:du, 18:u02:Développement, 11:u03:Durable, -6:u04:et, 26:u07:Développement/Durable, 14:u08:Durable/et, -9:u09:et/de, 21:u0A:du/Développement, 6:u10:du, 18:u11:développement, 11:u12:durable, -6:u13:et, 8:u23:Dura, 6:u00:du, 18:u01:Développement, 11:u02:Durable, -6:u03:et, 7:u06:Mer, 14:u07:Durable/et, -9:u08:et/de, 26:u0A:Développement/Durable, 18:u10:développement, 11:u11:durable, -6:u12:et, -6:u21:et, -6:u22:et, -6:u23:et, -6:u32:et, -6:u33:et, 18:u00:Développement, 11:u01:Durable, -6:u02:et, 7:u05:Mer, -9:u07:et/de, 10:u09:la/Mer, 14:u0A:Durable/et, 11:u10:durable, -6:u11:et, 7:u14:mer, 11:u00:Durable, -6:u01:et, 7:u04:Mer, -10:u06:France, 10:u08:la/Mer, 9:u09:Mer/,, -9:u0A:et/de, -6:u10:et, 7:u13:mer, -6:u00:et, 7:u03:Mer, -10:u05:France, 10:u07:la/Mer, 9:u08:Mer/,, -12:u09:,/France, 7:u12:mer, -10:u14:france, 7:u23:Mer, 7:u32:Mer, 7:u33:Mer, 7:u02:Mer, -10:u04:France, 9:u07:Mer/,, -12:u08:,/France, -12:u09:France/), 10:u0A:la/Mer, 7:u11:mer, -10:u13:france, 7:u01:Mer, -10:u03:France, -12:u07:,/France, -12:u08:France/), 9:u0A:Mer/,, 7:u10:mer, -10:u12:france, 7:u00:Mer, -10:u02:France, -12:u07:France/), -12:u0A:,/France, -10:u11:france, -10:u01:France, 9:u06:Total, -12:u0A:France/), -10:u10:france, -10:u00:France, 9:u05:Total, 14:u06:foundation, 13:u09:the/Total, @@ -58015,7 +68601,6 @@ 12:u08:Bonnet/(, 15:u09:(/Programme, 10:u12:bonnet, -7:u22:Bon, 8:u23:Bonn, 8:u33:nnet, 10:u02:Bonnet, @@ -58184,7 +68769,6 @@ 14:u07:the/entire, 16:u08:entire/staff, 10:u12:entire, -7:u32:ire, 8:u33:tire, 10:u02:entire, 16:u07:entire/staff, @@ -58195,35 +68779,21 @@ 16:u0A:entire/staff, 10:u10:entire, 10:u00:entire, -12:u06:Institut, 9:u08:the/l, -12:u05:Institut, 9:u07:the/l, 14:u09:'/Institut, -12:u14:institut, -12:u04:Institut, 14:u08:'/Institut, 21:u09:Institut/national, 9:u0A:the/l, -12:u13:institut, -12:u03:Institut, 14:u07:'/Institut, 21:u08:Institut/national, 15:u09:national/de, -12:u12:institut, -7:u32:tut, -8:u33:itut, -12:u02:Institut, 21:u07:Institut/national, 15:u08:national/de, 14:u0A:'/Institut, -12:u11:institut, -12:u01:Institut, 15:u06:Halieutique, 15:u07:national/de, 21:u0A:Institut/national, -12:u10:institut, -12:u00:Institut, 15:u05:Halieutique, 11:u06:Morocco, 25:u09:Recherche/Halieutique, @@ -58277,7 +68847,6 @@ 13:u0A:Morocco/., 11:u10:morocco, 9:u14:finds, -7:u22:Tha, 8:u23:That, 8:u33:That, 11:u00:Morocco, @@ -58386,64 +68955,47 @@ 17:u0A:(/DE120101549, 15:u11:de120101549, 15:u01:DE120101549, -18:u09:We/acknowledge, 17:u0A:DE120101549/), 15:u10:de120101549, 15:u00:DE120101549, -18:u08:We/acknowledge, -18:u07:We/acknowledge, 16:u09:the/services, 16:u06:Metabolomics, 16:u08:the/services, 15:u09:services/of, -18:u0A:We/acknowledge, 16:u05:Metabolomics, -13:u06:Australia, 16:u07:the/services, 15:u08:services/of, 19:u09:of/Metabolomics, 16:u14:metabolomics, 16:u04:Metabolomics, -13:u05:Australia, 15:u07:services/of, 19:u08:of/Metabolomics, 26:u09:Metabolomics/Australia, 16:u0A:the/services, 16:u13:metabolomics, -13:u14:australia, 16:u03:Metabolomics, -13:u04:Australia, 19:u07:of/Metabolomics, 26:u08:Metabolomics/Australia, 17:u09:Australia/for, 15:u0A:services/of, 16:u12:metabolomics, -13:u13:australia, 7:u22:Met, 8:u23:Meta, 16:u02:Metabolomics, -13:u03:Australia, 26:u07:Metabolomics/Australia, 17:u08:Australia/for, 19:u0A:of/Metabolomics, 16:u11:metabolomics, -13:u12:australia, -8:u33:alia, 16:u01:Metabolomics, -13:u02:Australia, 17:u07:Australia/for, 16:u09:the/analysis, 26:u0A:Metabolomics/Australia, 16:u10:metabolomics, -13:u11:australia, 16:u00:Metabolomics, -13:u01:Australia, 14:u06:metabolite, 16:u08:the/analysis, 15:u09:analysis/of, 17:u0A:Australia/for, -13:u10:australia, -13:u00:Australia, 14:u05:metabolite, 18:u06:concentrations, 16:u07:the/analysis, @@ -58659,7 +69211,6 @@ 14:u08:Martinez/,, 7:u09:,/B, 12:u12:martinez, -8:u23:Mart, 7:u32:nez, 8:u33:inez, 12:u02:Martinez, @@ -58684,7 +69235,6 @@ 10:u03:McKown, 12:u07:./McKown, 12:u08:McKown/,, -7:u09:,/R, 10:u12:mckown, 6:u21:Mc, 7:u22:McK, @@ -58693,12 +69243,10 @@ 10:u02:McKown, 10:u06:Romero, 12:u07:McKown/,, -7:u08:,/R, 12:u0A:./McKown, 10:u11:mckown, 10:u01:McKown, 10:u05:Romero, -7:u07:,/R, 12:u09:./Romero, 12:u0A:McKown/,, 10:u10:mckown, @@ -58707,7 +69255,6 @@ 10:u04:Romero, 12:u08:./Romero, 12:u09:Romero/,, -7:u0A:,/R, 10:u13:romero, 10:u03:Romero, 12:u07:./Romero, @@ -58760,9 +69307,7 @@ 12:u0A:Powell/(, 10:u10:powell, 11:u12:portage, -7:u22:Por, 8:u23:Port, -7:u32:age, 8:u33:tage, 10:u00:Powell, 11:u02:Portage, @@ -58773,18 +69318,14 @@ 13:u0A:Portage/,, 11:u10:portage, 11:u00:Portage, -9:u09:and/E, 11:u06:Pulliam, -9:u08:and/E, 11:u05:Pulliam, -9:u07:and/E, 13:u09:./Pulliam, 11:u14:pulliam, 11:u04:Pulliam, 8:u06:TPMC, 13:u08:./Pulliam, 13:u09:Pulliam/(, -9:u0A:and/E, 11:u13:pulliam, 11:u03:Pulliam, 8:u05:TPMC, @@ -58915,7 +69456,6 @@ 11:u12:cicuzza, 7:u22:Cic, 8:u23:Cicu, -6:u31:za, 7:u32:zza, 8:u33:uzza, 11:u02:Cicuzza, @@ -58967,7 +69507,6 @@ 8:u23:Went, 13:u02:Wentworth, 12:u05:critical, -10:u06:review, 17:u07:Wentworth/for, 18:u09:their/critical, 15:u0A:./Wentworth, @@ -58975,7 +69514,6 @@ 12:u14:critical, 13:u01:Wentworth, 12:u04:critical, -10:u05:review, 18:u08:their/critical, 19:u09:critical/review, 17:u0A:Wentworth/for, @@ -58983,20 +69521,17 @@ 12:u13:critical, 13:u00:Wentworth, 12:u03:critical, -10:u04:review, 18:u07:their/critical, 19:u08:critical/review, 13:u09:review/of, 12:u12:critical, 12:u02:critical, -10:u03:review, 12:u06:previous, 19:u07:critical/review, 13:u08:review/of, 18:u0A:their/critical, 12:u11:critical, 12:u01:critical, -10:u02:review, 12:u05:previous, 13:u07:review/of, 14:u09:a/previous, @@ -59004,13 +69539,11 @@ 12:u10:critical, 12:u14:previous, 12:u00:critical, -10:u01:review, 12:u04:previous, 14:u08:a/previous, 20:u09:previous/version, 13:u0A:review/of, 12:u13:previous, -10:u00:review, 12:u03:previous, 14:u07:a/previous, 20:u08:previous/version, @@ -59130,36 +69663,25 @@ 11:u07:I/thank, 19:u09:the/individuals, 7:u0A::/I, -17:u06:organizations, 19:u08:the/individuals, 19:u09:individuals/and, 11:u0A:I/thank, -17:u05:organizations, 19:u07:the/individuals, 19:u08:individuals/and, -21:u09:and/organizations, -17:u04:organizations, 12:u06:directly, 19:u07:individuals/and, -21:u08:and/organizations, 22:u09:organizations/that, 19:u0A:the/individuals, -17:u03:organizations, 12:u05:directly, -21:u07:and/organizations, 22:u08:organizations/that, 17:u09:that/directly, 19:u0A:individuals/and, 12:u14:directly, -8:u23:orga, -17:u02:organizations, 12:u04:directly, 22:u07:organizations/that, 17:u08:that/directly, 16:u09:directly/had, -21:u0A:and/organizations, 12:u13:directly, -17:u01:organizations, 12:u03:directly, 8:u06:hand, 17:u07:that/directly, @@ -59168,7 +69690,6 @@ 22:u0A:organizations/that, 12:u12:directly, 8:u33:ctly, -17:u00:organizations, 12:u02:directly, 8:u05:hand, 16:u07:directly/had, @@ -59223,41 +69744,27 @@ 14:u00:completion, 13:u08:project/;, 13:u09:;/without, -13:u06:expertise, 13:u07:project/;, 13:u08:;/without, 17:u09:without/their, -13:u05:expertise, 13:u07:;/without, 17:u08:without/their, 19:u09:their/expertise, 13:u0A:project/;, -13:u14:expertise, -13:u04:expertise, 17:u07:without/their, 19:u08:their/expertise, 15:u09:expertise/,, 13:u0A:;/without, -13:u13:expertise, -13:u03:expertise, 19:u07:their/expertise, 15:u08:expertise/,, 17:u0A:without/their, -13:u12:expertise, -7:u32:ise, -8:u33:tise, -13:u02:expertise, 9:u06:edits, 15:u07:expertise/,, 19:u0A:their/expertise, -13:u11:expertise, -13:u01:expertise, 9:u05:edits, 11:u09:,/edits, 15:u0A:expertise/,, -13:u10:expertise, 9:u14:edits, -13:u00:expertise, 9:u04:edits, 11:u08:,/edits, 11:u09:edits/,, @@ -59316,7 +69823,6 @@ 12:u12:property, 8:u33:erty, 12:u02:property, -9:u06:would, 14:u07:property/,, 20:u0A:private/property, 12:u11:property, @@ -59394,7 +69900,6 @@ 9:u11:parks, 14:u12:graciously, 11:u13:allowed, -6:u14:me, 8:u23:grac, 7:u32:sly, 8:u33:usly, @@ -59410,7 +69915,6 @@ 9:u10:parks, 14:u11:graciously, 11:u12:allowed, -6:u13:me, 7:u32:wed, 8:u33:owed, 9:u00:Parks, @@ -59425,7 +69929,6 @@ 22:u0A:graciously/allowed, 14:u10:graciously, 11:u11:allowed, -6:u12:me, 11:u14:collect, 6:u22:me, 6:u23:me, @@ -59441,7 +69944,6 @@ 18:u09:collect/plants, 14:u0A:allowed/me, 11:u10:allowed, -6:u11:me, 11:u13:collect, 10:u14:plants, 11:u00:allowed, @@ -59452,7 +69954,6 @@ 18:u08:collect/plants, 15:u09:plants/from, 9:u0A:me/to, -6:u10:me, 11:u12:collect, 10:u13:plants, 6:u00:me, @@ -59464,8 +69965,6 @@ 14:u0A:to/collect, 11:u11:collect, 10:u12:plants, -6:u21:pl, -7:u22:pla, 8:u23:plan, 11:u01:collect, 10:u02:plants, @@ -59580,7 +70079,6 @@ 9:u10:lakes, 10:u12:bladen, 10:u13:county, -7:u22:Bla, 8:u23:Blad, 8:u33:aden, 9:u00:lakes, @@ -59657,20 +70155,17 @@ 13:u06:Horseshoe, 12:u07:to/grant, 16:u08:grant/access, -13:u09:access/to, 13:u0A:enough/to, 10:u10:enough, 10:u00:enough, 13:u05:Horseshoe, 8:u06:Lake, 16:u07:grant/access, -13:u08:access/to, 16:u09:to/Horseshoe, 12:u0A:to/grant, 13:u14:horseshoe, 13:u04:Horseshoe, 8:u05:Lake, -13:u07:access/to, 16:u08:to/Horseshoe, 18:u09:Horseshoe/Lake, 16:u0A:grant/access, @@ -59682,7 +70177,6 @@ 16:u07:to/Horseshoe, 18:u08:Horseshoe/Lake, 12:u09:Lake/and, -13:u0A:access/to, 13:u12:horseshoe, 8:u13:lake, 8:u23:Hors, @@ -59834,7 +70328,6 @@ 9:u10:lewis, 12:u12:offering, 8:u14:land, -8:u23:offe, 9:u00:Lewis, 12:u02:offering, 8:u04:land, @@ -59895,62 +70388,43 @@ 8:u05:they, 10:u08:Lake/;, 10:u09:;/they, -8:u14:they, 8:u04:they, -8:u06:very, 10:u07:Lake/;, 10:u08:;/they, 13:u09:they/were, -8:u13:they, 8:u03:they, -8:u05:very, 12:u06:gracious, 10:u07:;/they, 13:u08:they/were, 13:u09:were/very, 10:u0A:Lake/;, -8:u12:they, -8:u14:very, 8:u23:they, -7:u32:hey, 8:u33:they, 8:u02:they, -8:u04:very, 12:u05:gracious, 13:u07:they/were, 13:u08:were/very, 17:u09:very/gracious, 10:u0A:;/they, -8:u11:they, -8:u13:very, 12:u14:gracious, 8:u01:they, -8:u03:very, 12:u04:gracious, 13:u07:were/very, 17:u08:very/gracious, 14:u09:gracious/,, 13:u0A:they/were, -8:u10:they, -8:u12:very, 12:u13:gracious, -8:u23:very, 8:u00:they, -8:u02:very, 12:u03:gracious, 17:u07:very/gracious, 14:u08:gracious/,, 13:u0A:were/very, -8:u11:very, 12:u12:gracious, -8:u01:very, 12:u02:gracious, 14:u06:thoroughly, 14:u07:gracious/,, 17:u0A:very/gracious, -8:u10:very, 12:u11:gracious, -8:u00:very, 12:u01:gracious, 14:u05:thoroughly, 11:u06:enjoyed, @@ -59976,7 +70450,6 @@ 11:u13:enjoyed, 13:u14:listening, 8:u23:thor, -7:u32:hly, 8:u33:ghly, 14:u02:thoroughly, 11:u03:enjoyed, @@ -60002,8 +70475,6 @@ 14:u10:thoroughly, 11:u11:enjoyed, 13:u12:listening, -7:u22:lis, -8:u23:list, 14:u00:thoroughly, 11:u01:enjoyed, 13:u02:listening, @@ -60161,7 +70632,6 @@ 11:u0A:,/black, 9:u11:black, 9:u12:bears, -7:u22:bea, 8:u23:bear, 8:u33:ears, 9:u01:black, @@ -60432,48 +70902,34 @@ 7:u10:law, 7:u00:law, 10:u09:,/also, -12:u06:valuable, 10:u08:,/also, -12:u05:valuable, 10:u07:,/also, 21:u09:provided/valuable, -12:u14:valuable, -12:u04:valuable, 13:u06:regarding, 21:u08:provided/valuable, 24:u09:valuable/information, 10:u0A:,/also, -12:u13:valuable, -12:u03:valuable, 13:u05:regarding, 12:u06:wildlife, 21:u07:provided/valuable, 24:u08:valuable/information, 25:u09:information/regarding, -12:u12:valuable, 13:u14:regarding, -7:u22:val, -8:u23:valu, -12:u02:valuable, 13:u04:regarding, 12:u05:wildlife, 24:u07:valuable/information, 25:u08:information/regarding, 22:u09:regarding/wildlife, 21:u0A:provided/valuable, -12:u11:valuable, 13:u13:regarding, -12:u01:valuable, 13:u03:regarding, 12:u04:wildlife, 25:u07:information/regarding, 22:u08:regarding/wildlife, 16:u09:wildlife/use, 24:u0A:valuable/information, -12:u10:valuable, 13:u12:regarding, 8:u23:rega, -12:u00:valuable, 13:u02:regarding, 12:u03:wildlife, 22:u07:regarding/wildlife, @@ -60639,32 +71095,27 @@ 12:u0A:bays/and, 8:u10:bays, 8:u00:bays, -13:u06:community, 20:u07:associated/South, 18:u08:South/Carolina, 20:u09:Carolina/natural, 18:u0A:and/associated, -13:u05:community, 9:u06:types, 18:u07:South/Carolina, 20:u08:Carolina/natural, 21:u09:natural/community, 20:u0A:associated/South, -13:u04:community, 9:u05:types, 20:u07:Carolina/natural, 21:u08:natural/community, 19:u09:community/types, 18:u0A:South/Carolina, 9:u14:types, -13:u03:community, 9:u04:types, 21:u07:natural/community, 19:u08:community/types, 11:u09:types/., 20:u0A:Carolina/natural, 9:u13:types, -13:u02:community, 9:u03:types, 19:u07:community/types, 11:u08:types/., @@ -60675,13 +71126,11 @@ 7:u22:typ, 8:u23:type, 8:u33:ypes, -13:u01:community, 9:u02:types, 11:u07:types/., 8:u08:./Mr, 19:u0A:community/types, 9:u11:types, -13:u00:community, 9:u01:types, 8:u07:./Mr, 11:u09:./Gaddy, @@ -60771,8 +71220,6 @@ 17:u08:beneficial/to, 12:u0A:was/very, 14:u12:beneficial, -7:u22:ben, -8:u23:bene, 14:u02:beneficial, 17:u07:beneficial/to, 19:u0A:very/beneficial, @@ -60980,7 +71427,6 @@ 12:u12:nawrocki, 7:u22:Naw, 8:u23:Nawr, -6:u31:ki, 7:u32:cki, 8:u33:ocki, 10:u01:Justin, @@ -61257,14 +71703,12 @@ 14:u08:the/Pawsey, 25:u09:Pawsey/Supercomputing, 10:u13:pawsey, -18:u14:supercomputing, 10:u03:Pawsey, 18:u04:Supercomputing, 14:u07:the/Pawsey, 25:u08:Pawsey/Supercomputing, 25:u09:Supercomputing/Centre, 10:u12:pawsey, -18:u13:supercomputing, 7:u22:Paw, 8:u23:Paws, 7:u32:sey, @@ -61276,7 +71720,6 @@ 15:u09:Centre/with, 14:u0A:the/Pawsey, 10:u11:pawsey, -18:u12:supercomputing, 10:u01:Pawsey, 18:u02:Supercomputing, 25:u07:Supercomputing/Centre, @@ -61284,13 +71727,11 @@ 16:u09:with/funding, 25:u0A:Pawsey/Supercomputing, 10:u10:pawsey, -18:u11:supercomputing, 10:u00:Pawsey, 18:u01:Supercomputing, 15:u07:Centre/with, 16:u08:with/funding, 25:u0A:Supercomputing/Centre, -18:u10:supercomputing, 18:u00:Supercomputing, 16:u07:with/funding, 15:u0A:Centre/with, @@ -61307,15 +71748,12 @@ 21:u09:Western/Australia, 14:u07:of/Western, 21:u08:Western/Australia, -15:u09:Australia/., 17:u0A:Government/of, 9:u06:input, 21:u07:Western/Australia, -15:u08:Australia/., 14:u0A:of/Western, 9:u05:input, 9:u06:files, -15:u07:Australia/., 13:u09:The/input, 21:u0A:Western/Australia, 9:u14:input, @@ -61323,7 +71761,6 @@ 9:u05:files, 13:u08:The/input, 15:u09:input/files, -15:u0A:Australia/., 9:u13:input, 9:u14:files, 9:u03:input, @@ -61442,7 +71879,6 @@ 7:u01:can, 12:u03:accessed, 13:u05:nan_zhang, -5:u06:@, 15:u07:be/accessed, 15:u08:accessed/at, 16:u09:at/nan_zhang, @@ -61453,7 +71889,6 @@ 7:u00:can, 12:u02:accessed, 13:u04:nan_zhang, -5:u05:@, 7:u06:pku, 15:u07:accessed/at, 16:u08:at/nan_zhang, @@ -61461,10 +71896,8 @@ 15:u0A:be/accessed, 12:u11:accessed, 13:u13:nan_zhang, -5:u14:@, 12:u01:accessed, 13:u03:nan_zhang, -5:u04:@, 7:u05:pku, 16:u07:at/nan_zhang, 15:u08:nan_zhang/@, @@ -61472,14 +71905,12 @@ 15:u0A:accessed/at, 12:u10:accessed, 13:u12:nan_zhang, -5:u13:@, 7:u14:pku, 7:u22:nan, 8:u23:nan_, 8:u33:hang, 12:u00:accessed, 13:u02:nan_zhang, -5:u03:@, 7:u04:pku, 7:u06:edu, 15:u07:nan_zhang/@, @@ -61487,18 +71918,8 @@ 9:u09:pku/., 16:u0A:at/nan_zhang, 13:u11:nan_zhang, -5:u12:@, 7:u13:pku, -5:u20:@, -5:u21:@, -5:u22:@, -5:u23:@, -5:u30:@, -5:u31:@, -5:u32:@, -5:u33:@, 13:u01:nan_zhang, -5:u02:@, 7:u03:pku, 7:u05:edu, 9:u07:@/pku, @@ -61506,7 +71927,6 @@ 9:u09:./edu, 15:u0A:nan_zhang/@, 13:u10:nan_zhang, -5:u11:@, 7:u12:pku, 7:u14:edu, 6:u21:pk, @@ -61516,7 +71936,6 @@ 7:u32:pku, 7:u33:pku, 13:u00:nan_zhang, -5:u01:@, 7:u02:pku, 7:u04:edu, 6:u06:cn, @@ -61524,10 +71943,8 @@ 9:u08:./edu, 9:u09:edu/., 9:u0A:@/pku, -5:u10:@, 7:u11:pku, 7:u13:edu, -5:u00:@, 7:u01:pku, 7:u03:edu, 6:u05:cn, @@ -61566,58 +71983,38 @@ 6:u33:cn, 7:u00:edu, 6:u02:cn, -13:u06:benefited, 8:u07:cn/., -14:u09:This/paper, 8:u0A:./cn, 6:u11:cn, 6:u01:cn, -13:u05:benefited, -14:u08:This/paper, 19:u09:paper/benefited, 8:u0A:cn/., 6:u10:cn, -13:u14:benefited, 6:u00:cn, -13:u04:benefited, 14:u06:thoughtful, -14:u07:This/paper, 19:u08:paper/benefited, -18:u09:benefited/from, -13:u13:benefited, -13:u03:benefited, 14:u05:thoughtful, 11:u06:reviews, 19:u07:paper/benefited, -18:u08:benefited/from, 19:u09:from/thoughtful, -14:u0A:This/paper, -13:u12:benefited, 14:u14:thoughtful, -13:u02:benefited, 14:u04:thoughtful, 11:u05:reviews, -18:u07:benefited/from, 19:u08:from/thoughtful, 22:u09:thoughtful/reviews, 19:u0A:paper/benefited, -13:u11:benefited, 14:u13:thoughtful, 11:u14:reviews, -13:u01:benefited, 14:u03:thoughtful, 11:u04:reviews, 10:u06:Andrew, 19:u07:from/thoughtful, 22:u08:thoughtful/reviews, 14:u09:reviews/by, -18:u0A:benefited/from, -13:u10:benefited, 14:u12:thoughtful, 11:u13:reviews, 8:u23:thou, 8:u33:tful, -13:u00:benefited, 14:u02:thoughtful, 11:u03:reviews, 10:u05:Andrew, @@ -61797,7 +72194,6 @@ 7:u09:,/I, 11:u12:stadnik, 8:u23:Stad, -6:u31:ik, 7:u32:nik, 8:u33:dnik, 11:u02:Stadnik, @@ -61822,7 +72218,6 @@ 11:u03:Guliyev, 13:u07:./Guliyev, 13:u08:Guliyev/,, -7:u09:,/F, 11:u12:guliyev, 7:u22:Gul, 8:u23:Guli, @@ -61831,16 +72226,13 @@ 8:u33:iyev, 11:u02:Guliyev, 13:u07:Guliyev/,, -7:u08:,/F, 13:u0A:./Guliyev, 11:u11:guliyev, 11:u01:Guliyev, -7:u07:,/F, 13:u0A:Guliyev/,, 11:u10:guliyev, 11:u00:Guliyev, 12:u06:Dadashev, -7:u0A:,/F, 12:u05:Dadashev, 14:u09:./Dadashev, 12:u14:dadashev, @@ -61992,7 +72384,6 @@ 22:u08:Acknowledgements/., 12:u09:./Thanks, 20:u12:acknowledgements, -10:u14:thanks, 20:u02:Acknowledgements, 10:u04:Thanks, 22:u07:Acknowledgements/., @@ -62000,7 +72391,6 @@ 13:u09:Thanks/to, 25:u0A:_x-1/Acknowledgements, 20:u11:acknowledgements, -10:u13:thanks, 20:u01:Acknowledgements, 10:u03:Thanks, 11:u06:Eugenia, @@ -62009,10 +72399,6 @@ 12:u09:to/Maria, 22:u0A:Acknowledgements/., 20:u10:acknowledgements, -10:u12:thanks, -8:u23:Than, -7:u32:nks, -8:u33:anks, 20:u00:Acknowledgements, 10:u02:Thanks, 11:u05:Eugenia, @@ -62021,7 +72407,6 @@ 12:u08:to/Maria, 17:u09:Maria/Eugenia, 12:u0A:./Thanks, -10:u11:thanks, 11:u14:eugenia, 10:u01:Thanks, 11:u04:Eugenia, @@ -62030,7 +72415,6 @@ 17:u08:Maria/Eugenia, 18:u09:Eugenia/Gómez, 13:u0A:Thanks/to, -10:u10:thanks, 11:u13:eugenia, 10:u14:gómez, 10:u00:Thanks, @@ -62126,7 +72510,6 @@ 13:u08:Bouguer/', 16:u0A:reference/of, 11:u12:bouguer, -7:u22:Bou, 8:u23:Boug, 7:u32:uer, 8:u33:guer, @@ -62148,17 +72531,14 @@ 9:u07:law/., 13:u09:the/DENIS, 9:u0A:s/law, -9:u14:denis, 9:u04:DENIS, 13:u08:the/DENIS, 17:u09:DENIS/project, 9:u0A:law/., -9:u13:denis, 9:u03:DENIS, 13:u07:the/DENIS, 17:u08:DENIS/project, 14:u09:project/is, -9:u12:denis, 7:u22:DEN, 8:u23:DENI, 8:u33:ENIS, @@ -62166,11 +72546,9 @@ 17:u07:DENIS/project, 14:u08:project/is, 13:u0A:the/DENIS, -9:u11:denis, 9:u01:DENIS, 14:u07:project/is, 17:u0A:DENIS/project, -9:u10:denis, 9:u00:DENIS, 11:u06:SCIENCE, 14:u0A:project/is, @@ -62306,39 +72684,21 @@ 12:u10:ct940627, 12:u00:CT940627, 19:u09:French/Institut, -7:u06:des, 19:u08:French/Institut, -21:u09:Institut/National, -7:u05:des, 19:u07:French/Institut, -21:u08:Institut/National, 16:u09:National/des, -7:u14:des, -7:u04:des, -21:u07:Institut/National, 16:u08:National/des, 16:u09:des/Sciences, 19:u0A:French/Institut, -7:u13:des, -7:u03:des, 16:u07:National/des, 16:u08:des/Sciences, 15:u09:Sciences/de, -21:u0A:Institut/National, -7:u12:des, -7:u23:des, -7:u33:des, -7:u02:des, 16:u07:des/Sciences, 15:u08:Sciences/de, 16:u0A:National/des, -7:u11:des, -7:u01:des, 11:u06:Univers, 15:u07:Sciences/de, 16:u0A:des/Sciences, -7:u10:des, -7:u00:des, 11:u05:Univers, 13:u09:'/Univers, 15:u0A:Sciences/de, @@ -62466,7 +72826,6 @@ 14:u07:the/DGICYT, 12:u08:DGICYT/,, 10:u12:dgicyt, -6:u21:DG, 7:u22:DGI, 8:u23:DGIC, 6:u31:YT, @@ -62795,18 +73154,14 @@ 14:u14:stockinger, 9:u03:Julia, 14:u04:Stockinger, -9:u06:David, 15:u07:thank/Julia, 20:u08:Julia/Stockinger, 18:u09:Stockinger/and, 9:u12:julia, 14:u13:stockinger, -7:u22:Jul, -8:u23:Juli, 8:u33:ulia, 9:u02:Julia, 14:u03:Stockinger, -9:u05:David, 19:u06:Schwarzenbacher, 20:u07:Julia/Stockinger, 18:u08:Stockinger/and, @@ -62814,10 +73169,8 @@ 15:u0A:thank/Julia, 9:u11:julia, 14:u12:stockinger, -9:u14:david, 9:u01:Julia, 14:u02:Stockinger, -9:u04:David, 19:u05:Schwarzenbacher, 18:u07:Stockinger/and, 13:u08:and/David, @@ -62825,120 +73178,73 @@ 20:u0A:Julia/Stockinger, 9:u10:julia, 14:u11:stockinger, -9:u13:david, 19:u14:schwarzenbacher, 9:u00:Julia, 14:u01:Stockinger, -9:u03:David, 19:u04:Schwarzenbacher, 13:u07:and/David, 25:u08:David/Schwarzenbacher, 23:u09:Schwarzenbacher/for, 18:u0A:Stockinger/and, 14:u10:stockinger, -9:u12:david, 19:u13:schwarzenbacher, -7:u22:Dav, -8:u23:Davi, -7:u32:vid, -8:u33:avid, 14:u00:Stockinger, -9:u02:David, 19:u03:Schwarzenbacher, 25:u07:David/Schwarzenbacher, 23:u08:Schwarzenbacher/for, 13:u0A:and/David, -9:u11:david, 19:u12:schwarzenbacher, -9:u01:David, 19:u02:Schwarzenbacher, 23:u07:Schwarzenbacher/for, 19:u09:their/excellent, 25:u0A:David/Schwarzenbacher, -9:u10:david, 19:u11:schwarzenbacher, -9:u00:David, 19:u01:Schwarzenbacher, 19:u08:their/excellent, 23:u0A:Schwarzenbacher/for, 19:u10:schwarzenbacher, 19:u00:Schwarzenbacher, 19:u07:their/excellent, -15:u09:support/and, 19:u0A:their/excellent, -15:u08:support/and, 16:u09:and/Johannes, 8:u06:Mayr, -15:u07:support/and, 16:u08:and/Johannes, 14:u09:Johannes/A, 8:u05:Mayr, 16:u07:and/Johannes, 14:u08:Johannes/A, 10:u09:A/Mayr, -15:u0A:support/and, 8:u14:mayr, 8:u04:Mayr, -12:u06:comments, 14:u07:Johannes/A, 10:u08:A/Mayr, 12:u09:Mayr/for, 16:u0A:and/Johannes, 8:u13:mayr, 8:u03:Mayr, -12:u05:comments, 10:u07:A/Mayr, 12:u08:Mayr/for, 16:u09:for/comments, 14:u0A:Johannes/A, 8:u12:mayr, -12:u14:comments, 8:u23:Mayr, 6:u31:yr, 7:u32:ayr, 8:u33:Mayr, 8:u02:Mayr, -12:u04:comments, -15:u06:suggestions, 12:u07:Mayr/for, 16:u08:for/comments, -16:u09:comments/and, 10:u0A:A/Mayr, 8:u11:mayr, -12:u13:comments, 8:u01:Mayr, -12:u03:comments, -15:u05:suggestions, 16:u07:for/comments, -16:u08:comments/and, -19:u09:and/suggestions, 12:u0A:Mayr/for, 8:u10:mayr, -12:u12:comments, -15:u14:suggestions, 8:u00:Mayr, -12:u02:comments, -15:u04:suggestions, -16:u07:comments/and, -19:u08:and/suggestions, 17:u09:suggestions/., 16:u0A:for/comments, -12:u11:comments, -15:u13:suggestions, -12:u01:comments, -15:u03:suggestions, -19:u07:and/suggestions, 17:u08:suggestions/., -16:u0A:comments/and, -12:u10:comments, -15:u12:suggestions, -7:u22:sug, -8:u23:sugg, -12:u00:comments, -15:u02:suggestions, 17:u07:suggestions/., -19:u0A:and/suggestions, -15:u11:suggestions, 11:u06:Leonice, 11:u05:Leonice, 13:u06:Lourenço, @@ -62983,7 +73289,6 @@ 11:u03:Poyares, 21:u07:Lourenço/Poyares, 13:u08:Poyares/,, -15:u09:,/Institute, 21:u0A:Leonice/Lourenço, 11:u10:leonice, 13:u11:lourenço, @@ -62995,20 +73300,17 @@ 13:u01:Lourenço, 11:u02:Poyares, 13:u07:Poyares/,, -15:u08:,/Institute, 21:u0A:Lourenço/Poyares, 13:u10:lourenço, 11:u11:poyares, 13:u00:Lourenço, 11:u01:Poyares, -15:u07:,/Institute, 17:u09:of/Biomedical, 13:u0A:Poyares/,, 11:u10:poyares, 11:u00:Poyares, 17:u08:of/Biomedical, 23:u09:Biomedical/Sciences, -15:u0A:,/Institute, 17:u07:of/Biomedical, 23:u08:Biomedical/Sciences, 23:u07:Biomedical/Sciences, @@ -63182,7 +73484,6 @@ 9:u12:nunes, 7:u22:Nun, 8:u23:Nune, -8:u33:unes, 9:u02:Nunes, 12:u07:Nunes/is, 11:u0A:./Nunes, @@ -63361,7 +73662,6 @@ 14:u0A:Amarnath/(, 12:u10:amarnath, 14:u12:vanderbilt, -7:u22:Van, 8:u23:Vand, 7:u32:ilt, 8:u33:bilt, @@ -63520,7 +73820,6 @@ 11:u09:lab/for, 7:u0A:O/', 8:u12:shea, -8:u23:Shea, 7:u32:hea, 8:u33:Shea, 5:u00:O, @@ -63629,19 +73928,15 @@ 13:u09:Grant/ANR, 13:u08:Grant/ANR, 13:u07:Grant/ANR, -8:u09:-/11, 8:u06:BS09, -8:u08:-/11, 13:u0A:Grant/ANR, 8:u05:BS09, -8:u07:-/11, 10:u09:-/BS09, 8:u14:bs09, 8:u04:BS09, 8:u06:0008, 10:u08:-/BS09, 10:u09:BS09/-, -8:u0A:-/11, 8:u13:bs09, 8:u03:BS09, 8:u05:0008, @@ -63810,42 +74105,25 @@ 8:u23:volu, 8:u33:eers, 14:u02:volunteers, -14:u06:continuous, 23:u07:volunteers/involved, 18:u0A:and/volunteers, 14:u11:volunteers, 14:u01:volunteers, -14:u05:continuous, -18:u09:the/continuous, 23:u0A:volunteers/involved, 14:u10:volunteers, -14:u14:continuous, 14:u00:volunteers, -14:u04:continuous, -18:u08:the/continuous, 25:u09:continuous/monitoring, -14:u13:continuous, -14:u03:continuous, 12:u06:penguins, -18:u07:the/continuous, 25:u08:continuous/monitoring, -14:u12:continuous, -8:u33:uous, -14:u02:continuous, 12:u05:penguins, 25:u07:continuous/monitoring, 15:u09:of/penguins, -18:u0A:the/continuous, -14:u11:continuous, 12:u14:penguins, -14:u01:continuous, 12:u04:penguins, 15:u08:of/penguins, 15:u09:penguins/in, 25:u0A:continuous/monitoring, -14:u10:continuous, 12:u13:penguins, -14:u00:continuous, 12:u03:penguins, 15:u07:of/penguins, 15:u08:penguins/in, @@ -63988,7 +74266,6 @@ 9:u10:video, 12:u12:improved, 11:u13:figures, -8:u23:impr, 8:u33:oved, 9:u00:video, 12:u02:improved, @@ -64029,7 +74306,6 @@ 21:u09:analysis/benefits, 12:u0A:design/., 12:u14:benefits, -6:u21:Ou, 7:u22:Our, 7:u23:Our, 7:u32:Our, @@ -64086,7 +74362,6 @@ 11:u12:earlier, 7:u22:ear, 8:u23:earl, -8:u33:lier, 14:u00:enormously, 11:u02:earlier, 23:u07:earlier/discussions, @@ -64285,47 +74560,34 @@ 12:u0A:./Louzao, 10:u11:louzao, 10:u01:Louzao, -11:u06:helpful, 12:u08:and/with, 12:u0A:Louzao/,, 10:u10:louzao, 10:u00:Louzao, -11:u05:helpful, 12:u07:and/with, 15:u09:the/helpful, -11:u14:helpful, -11:u04:helpful, 15:u08:the/helpful, 20:u09:helpful/comments, 12:u0A:and/with, -11:u13:helpful, -11:u03:helpful, 8:u06:Sara, 15:u07:the/helpful, 20:u08:helpful/comments, 15:u09:comments/of, -11:u12:helpful, -8:u33:pful, -11:u02:helpful, 8:u05:Sara, 11:u06:Maxwell, 20:u07:helpful/comments, 15:u08:comments/of, 11:u09:of/Sara, 15:u0A:the/helpful, -11:u11:helpful, 8:u14:sara, -11:u01:helpful, 8:u04:Sara, 11:u05:Maxwell, 15:u07:comments/of, 11:u08:of/Sara, 16:u09:Sara/Maxwell, 20:u0A:helpful/comments, -11:u10:helpful, 8:u13:sara, 11:u14:maxwell, -11:u00:helpful, 8:u03:Sara, 11:u04:Maxwell, 11:u07:of/Sara, @@ -64345,7 +74607,6 @@ 8:u23:Maxw, 8:u01:Sara, 11:u02:Maxwell, -13:u06:reviewers, 15:u07:Maxwell/and, 17:u09:two/anonymous, 16:u0A:Sara/Maxwell, @@ -64353,27 +74614,19 @@ 11:u11:maxwell, 8:u00:Sara, 11:u01:Maxwell, -13:u05:reviewers, 17:u08:two/anonymous, 23:u09:anonymous/reviewers, 15:u0A:Maxwell/and, 11:u10:maxwell, -13:u14:reviewers, 11:u00:Maxwell, -13:u04:reviewers, 17:u07:two/anonymous, 23:u08:anonymous/reviewers, 15:u09:reviewers/., -13:u13:reviewers, -13:u03:reviewers, 23:u07:anonymous/reviewers, 15:u08:reviewers/., 17:u0A:two/anonymous, -13:u12:reviewers, -13:u02:reviewers, 15:u07:reviewers/., 23:u0A:anonymous/reviewers, -13:u11:reviewers, 11:u09:thank/C, 11:u06:Clayton, 11:u08:thank/C, @@ -64483,7 +74736,6 @@ 12:u07:./Pillai, 12:u08:Pillai/,, 10:u12:pillai, -6:u21:Pi, 7:u22:Pil, 8:u23:Pill, 7:u32:lai, @@ -64683,9 +74935,6 @@ 21:u07:Novartis/Research, 16:u0A:the/Novartis, 21:u0A:Novartis/Research, -12:u08:We/would, -12:u07:We/would, -12:u0A:We/would, 20:u09:individuals/from, 20:u08:individuals/from, 13:u09:from/each, @@ -64715,7 +74964,6 @@ 6:u21:SW, 7:u22:SWE, 8:u23:SWEE, -6:u31:ET, 7:u32:EET, 8:u33:WEET, 9:u02:SWEET, @@ -64744,43 +74992,22 @@ 13:u00:countries, 11:u07:gave/up, 12:u08:up/their, -18:u09:their/valuable, 12:u0A:who/gave, 12:u07:up/their, -18:u08:their/valuable, 17:u09:valuable/time, 11:u0A:gave/up, -15:u06:participate, -18:u07:their/valuable, 17:u08:valuable/time, 11:u09:time/to, 12:u0A:up/their, -15:u05:participate, 17:u07:valuable/time, 11:u08:time/to, -18:u09:to/participate, -18:u0A:their/valuable, -15:u14:participate, -15:u04:participate, 11:u07:time/to, -18:u08:to/participate, 18:u09:participate/in, 17:u0A:valuable/time, -15:u13:participate, -15:u03:participate, -18:u07:to/participate, 18:u08:participate/in, 11:u0A:time/to, -15:u12:participate, -8:u33:pate, -15:u02:participate, 18:u07:participate/in, -18:u0A:to/participate, -15:u11:participate, -15:u01:participate, 18:u0A:participate/in, -15:u10:participate, -15:u00:participate, 12:u06:prepared, 12:u09:and/were, 12:u05:prepared, @@ -65166,7 +75393,6 @@ 15:u0A:Dr/Haruhiko, 12:u11:haruhiko, 10:u12:fukuda, -13:u14:direction, 7:u22:Fuk, 8:u23:Fuku, 7:u32:uda, @@ -65180,7 +75406,6 @@ 19:u0A:Haruhiko/Fukuda, 12:u10:haruhiko, 10:u11:fukuda, -13:u13:direction, 12:u00:Haruhiko, 10:u01:Fukuda, 13:u03:direction, @@ -65189,66 +75414,48 @@ 16:u08:direction/of, 14:u0A:Fukuda/for, 10:u10:fukuda, -13:u12:direction, 10:u00:Fukuda, 13:u02:direction, 8:u05:JCOG, 16:u07:direction/of, 12:u09:the/JCOG, 17:u0A:for/direction, -13:u11:direction, 8:u14:jcog, 13:u01:direction, 8:u04:JCOG, -10:u06:center, 12:u08:the/JCOG, 13:u09:JCOG/data, 16:u0A:direction/of, -13:u10:direction, 8:u13:jcog, 13:u00:direction, 8:u03:JCOG, -10:u05:center, 12:u07:the/JCOG, 13:u08:JCOG/data, 15:u09:data/center, 8:u12:jcog, 7:u22:JCO, 8:u23:JCOG, -6:u31:OG, -7:u32:COG, 8:u33:JCOG, 8:u02:JCOG, -10:u04:center, 13:u06:oversight, 13:u07:JCOG/data, 15:u08:data/center, -14:u09:center/and, 12:u0A:the/JCOG, 8:u11:jcog, 8:u01:JCOG, -10:u03:center, 13:u05:oversight, 15:u07:data/center, -14:u08:center/and, 17:u09:and/oversight, 13:u0A:JCOG/data, 8:u10:jcog, 13:u14:oversight, -7:u22:cen, -8:u23:cent, 8:u00:JCOG, -10:u02:center, -14:u07:center/and, 17:u08:and/oversight, 16:u09:oversight/of, 15:u0A:data/center, -10:u01:center, 17:u07:and/oversight, 16:u08:oversight/of, 17:u09:of/management, -14:u0A:center/and, -10:u00:center, 16:u07:oversight/of, 17:u08:of/management, 17:u09:management/of, @@ -65533,7 +75740,6 @@ 15:u0A:conflict/of, 12:u10:conflict, 13:u12:interests, -7:u32:sts, 8:u33:ests, 12:u00:conflict, 13:u02:interests, @@ -65756,63 +75962,47 @@ 18:u09:grant/sponsors, 12:u14:sponsors, 12:u04:sponsors, -12:u06:Telethon, 18:u08:grant/sponsors, 14:u09:sponsors/:, 17:u0A:_x-1/Contract, 12:u13:sponsors, 12:u03:sponsors, -12:u05:Telethon, 18:u07:grant/sponsors, 14:u08:sponsors/:, 14:u09::/Telethon, 12:u12:sponsors, -12:u14:telethon, 8:u33:sors, 12:u02:sponsors, -12:u04:Telethon, 12:u06:GGP13213, 14:u07:sponsors/:, 14:u08::/Telethon, 14:u09:Telethon/(, 18:u0A:grant/sponsors, 12:u11:sponsors, -12:u13:telethon, 12:u01:sponsors, -12:u03:Telethon, 12:u05:GGP13213, 14:u07::/Telethon, 14:u08:Telethon/(, 14:u09:(/GGP13213, 14:u0A:sponsors/:, 12:u10:sponsors, -12:u12:telethon, 12:u14:ggp13213, -7:u22:Tel, -8:u23:Tele, -7:u32:hon, -8:u33:thon, 12:u00:sponsors, -12:u02:Telethon, 12:u04:GGP13213, 14:u07:Telethon/(, 14:u08:(/GGP13213, 14:u09:GGP13213/), 14:u0A::/Telethon, -12:u11:telethon, 12:u13:ggp13213, -12:u01:Telethon, 12:u03:GGP13213, 14:u07:(/GGP13213, 14:u08:GGP13213/), 14:u0A:Telethon/(, -12:u10:telethon, 12:u12:ggp13213, 7:u22:GGP, 8:u23:GGP1, 7:u32:213, 8:u33:3213, -12:u00:Telethon, 12:u02:GGP13213, 14:u07:GGP13213/), 14:u0A:(/GGP13213, @@ -66230,7 +76420,6 @@ 7:u12:fir, 7:u22:FIR, 7:u23:FIR, -6:u31:IR, 7:u32:FIR, 7:u33:FIR, 8:u00:MIUR, @@ -66353,48 +76542,28 @@ 13:u10:gtb07001d, 13:u00:GTB07001D, 18:u07:are/gratefully, -20:u09:acknowledged/for, 9:u0A:)/are, 14:u06:biological, -20:u08:acknowledged/for, 18:u0A:are/gratefully, 14:u05:biological, -11:u06:samples, -20:u07:acknowledged/for, 24:u09:providing/biological, -16:u01:acknowledged, 14:u04:biological, -11:u05:samples, 24:u08:providing/biological, 22:u09:biological/samples, -20:u0A:acknowledged/for, -16:u10:acknowledged, -11:u14:samples, -16:u00:acknowledged, 14:u03:biological, -11:u04:samples, 24:u07:providing/biological, 22:u08:biological/samples, 13:u09:samples/", -11:u13:samples, 8:u23:biol, 14:u02:biological, -11:u03:samples, 22:u07:biological/samples, 13:u08:samples/", 24:u0A:providing/biological, -11:u12:samples, -8:u33:ples, 14:u01:biological, -11:u02:samples, 13:u07:samples/", 22:u0A:biological/samples, -11:u11:samples, 14:u00:biological, -11:u01:samples, 13:u0A:samples/", -11:u10:samples, -11:u00:samples, 11:u06:Rosanna, 11:u05:Rosanna, 11:u06:Asselta, @@ -66457,19 +76626,15 @@ 8:u33:ilan, 9:u02:Milan, 11:u07:Milan/), -15:u09:for/helpful, 12:u0A:of/Milan, 9:u11:milan, 9:u01:Milan, -15:u08:for/helpful, 18:u09:helpful/advice, 11:u0A:Milan/), 9:u10:milan, 9:u00:Milan, -15:u07:for/helpful, 18:u08:helpful/advice, 18:u07:helpful/advice, -15:u0A:for/helpful, 13:u06:haplotype, 18:u0A:helpful/advice, 13:u05:haplotype, @@ -66554,32 +76719,24 @@ 8:u23:acti, 11:u00:general, 14:u02:activities, -8:u06:core, 17:u07:activities/is, 23:u0A:research/activities, 14:u11:activities, 14:u01:activities, -8:u05:core, 10:u06:donors, 11:u09:by/core, 17:u0A:activities/is, 14:u10:activities, 14:u00:activities, -8:u04:core, 10:u05:donors, 11:u08:by/core, 15:u09:core/donors, 10:u14:donors, -8:u03:core, 10:u04:donors, 11:u07:by/core, 15:u08:core/donors, 12:u09:donors/:, 10:u13:donors, -7:u22:cor, -8:u23:core, -8:u33:core, -8:u02:core, 10:u03:donors, 15:u07:core/donors, 12:u08:donors/:, @@ -66588,14 +76745,12 @@ 10:u12:donors, 8:u23:dono, 8:u33:nors, -8:u01:core, 10:u02:donors, 12:u07:donors/:, 14:u08::/Republic, 15:u09:Republic/of, 15:u0A:core/donors, 10:u11:donors, -8:u00:core, 10:u01:donors, 14:u07::/Republic, 15:u08:Republic/of, @@ -66749,7 +76904,6 @@ 8:u09:./In, 6:u04:In, 12:u05:addition, -6:u06:we, 11:u07:Japan/., 8:u08:./In, 15:u09:In/addition, @@ -66757,7 +76911,6 @@ 12:u14:addition, 6:u03:In, 12:u04:addition, -6:u05:we, 8:u07:./In, 15:u08:In/addition, 15:u09:addition/we, @@ -66770,7 +76923,6 @@ 6:u33:In, 6:u02:In, 12:u03:addition, -6:u04:we, 15:u07:In/addition, 15:u08:addition/we, 11:u09:we/like, @@ -66778,28 +76930,19 @@ 12:u12:addition, 6:u01:In, 12:u02:addition, -6:u03:we, 15:u07:addition/we, 11:u08:we/like, 15:u0A:In/addition, 12:u11:addition, -6:u22:we, -6:u23:we, -6:u31:we, -6:u32:we, -6:u33:we, 6:u00:In, 12:u01:addition, -6:u02:we, 11:u07:we/like, 15:u0A:addition/we, 12:u10:addition, 12:u00:addition, -6:u01:we, 8:u06:Crop, 16:u09:thank/Global, 11:u0A:we/like, -6:u00:we, 8:u05:Crop, 13:u06:Diversity, 16:u08:thank/Global, @@ -66886,16 +77029,12 @@ 22:u07:access/publication, 12:u0A:-/access, 22:u0A:access/publication, -13:u09:./Michael, -13:u08:./Michael, 13:u09:Michael/W, 8:u06:Hess, -13:u07:./Michael, 13:u08:Michael/W, 8:u05:Hess, 13:u07:Michael/W, 10:u09:./Hess, -13:u0A:./Michael, 8:u14:hess, 8:u04:Hess, 10:u08:./Hess, @@ -67079,8 +77218,6 @@ 6:u21:el, 7:u22:ele, 8:u23:elec, -7:u32:ron, -8:u33:tron, 16:u01:transmission, 12:u02:electron, 14:u03:microscope, @@ -67092,8 +77229,6 @@ 14:u12:microscope, 7:u22:mic, 8:u23:micr, -7:u32:ope, -8:u33:cope, 16:u00:transmission, 12:u01:electron, 14:u02:microscope, @@ -67198,47 +77333,35 @@ 21:u08:University/Center, 14:u0A:Ohio/State, 7:u05:RNA, -11:u06:Biology, 21:u07:University/Center, 11:u09:for/RNA, 7:u14:rna, 7:u04:RNA, -11:u05:Biology, 11:u08:for/RNA, 15:u09:RNA/Biology, 21:u0A:University/Center, 7:u13:rna, -11:u14:biology, 7:u03:RNA, -11:u04:Biology, 11:u07:for/RNA, 15:u08:RNA/Biology, 22:u09:Biology/Fellowship, 7:u12:rna, -11:u13:biology, 6:u21:RN, 7:u22:RNA, 7:u23:RNA, 7:u32:RNA, 7:u33:RNA, 7:u02:RNA, -11:u03:Biology, 15:u07:RNA/Biology, 22:u08:Biology/Fellowship, 11:u0A:for/RNA, 7:u11:rna, -11:u12:biology, 7:u01:RNA, -11:u02:Biology, 22:u07:Biology/Fellowship, 15:u0A:RNA/Biology, 7:u10:rna, -11:u11:biology, 7:u00:RNA, -11:u01:Biology, 22:u0A:Biology/Fellowship, -11:u10:biology, -11:u00:Biology, 16:u09:NIH/Training, 7:u06:T32, 16:u08:NIH/Training, @@ -67282,7 +77405,6 @@ 12:u14:gm086252, 7:u22:GM0, 8:u23:GM00, -7:u32:512, 8:u33:8512, 7:u01:T32, 12:u02:GM008512, @@ -67343,17 +77465,14 @@ 7:u06:170, 8:u07:15/., 8:u08:./11, -8:u09:11/., 8:u0A:./15, 7:u05:170, 8:u07:./11, -8:u08:11/., 9:u09:./170, 8:u0A:15/., 7:u14:170, 7:u04:170, 7:u06:576, -8:u07:11/., 9:u08:./170, 9:u09:170/., 8:u0A:./11, @@ -67363,12 +77482,10 @@ 9:u07:./170, 9:u08:170/., 9:u09:./576, -8:u0A:11/., 7:u12:170, 7:u14:576, 7:u22:170, 7:u23:170, -7:u32:170, 7:u33:170, 7:u02:170, 7:u04:576, @@ -67388,7 +77505,6 @@ 6:u21:57, 7:u22:576, 7:u23:576, -7:u32:576, 7:u33:576, 7:u00:170, 7:u02:576, @@ -67565,51 +77681,39 @@ 13:u0A:Rossi/for, 9:u10:rossi, 9:u00:Rossi, -13:u06:producing, 17:u07:his/technical, 23:u08:technical/expertise, 16:u09:expertise/in, -13:u05:producing, 14:u06:xenografts, 23:u07:technical/expertise, 16:u08:expertise/in, 16:u09:in/producing, 17:u0A:his/technical, -13:u14:producing, -13:u04:producing, 14:u05:xenografts, 16:u07:expertise/in, 16:u08:in/producing, 24:u09:producing/xenografts, 23:u0A:technical/expertise, -13:u13:producing, 14:u14:xenografts, -13:u03:producing, 14:u04:xenografts, 16:u07:in/producing, 24:u08:producing/xenografts, 16:u09:xenografts/., 16:u0A:expertise/in, -13:u12:producing, 14:u13:xenografts, -13:u02:producing, 14:u03:xenografts, 24:u07:producing/xenografts, 16:u08:xenografts/., 16:u0A:in/producing, -13:u11:producing, 14:u12:xenografts, 5:u20:x, 6:u21:xe, 7:u22:xen, 8:u23:xeno, -7:u32:fts, 8:u33:afts, -13:u01:producing, 14:u02:xenografts, 16:u07:xenografts/., 24:u0A:producing/xenografts, -13:u10:producing, 14:u11:xenografts, 12:u06:Malaysia, 12:u05:Malaysia, @@ -67623,7 +77727,6 @@ 22:u07:Education/Malaysia, 16:u08:Malaysia/and, 12:u12:malaysia, -7:u22:Mal, 8:u23:Mala, 7:u32:sia, 8:u33:ysia, @@ -67635,10 +77738,6 @@ 16:u0A:Malaysia/and, 12:u10:malaysia, 12:u00:Malaysia, -17:u09:the/Promotion, -17:u08:the/Promotion, -17:u07:the/Promotion, -17:u0A:the/Promotion, 9:u06:Asian, 9:u05:Asian, 8:u06:CORE, @@ -67658,7 +77757,6 @@ 9:u12:asian, 7:u22:Asi, 8:u23:Asia, -8:u00:JSPS, 9:u02:Asian, 8:u03:CORE, 10:u05:titled, @@ -67719,26 +77817,22 @@ 17:u11:establishment, 17:u01:Establishment, 13:u05:education, -11:u06:network, 15:u07:of/research, 17:u09:and/education, 20:u0A:Establishment/of, 17:u10:establishment, 17:u00:Establishment, 13:u04:education, -11:u05:network, 17:u08:and/education, 21:u09:education/network, 15:u0A:of/research, 13:u03:education, -11:u04:network, 11:u06:coastal, 17:u07:and/education, 21:u08:education/network, 14:u09:network/on, 8:u23:educ, 13:u02:education, -11:u03:network, 11:u05:coastal, 10:u06:marine, 21:u07:education/network, @@ -67746,13 +77840,9 @@ 14:u09:on/coastal, 17:u0A:and/education, 11:u14:coastal, -7:u22:net, -8:u23:netw, 13:u01:education, -11:u02:network, 11:u04:coastal, 10:u05:marine, -11:u06:science, 14:u07:network/on, 14:u08:on/coastal, 18:u09:coastal/marine, @@ -67760,10 +77850,8 @@ 11:u13:coastal, 10:u14:marine, 13:u00:education, -11:u01:network, 11:u03:coastal, 10:u04:marine, -11:u05:science, 14:u07:on/coastal, 18:u08:coastal/marine, 18:u09:marine/science, @@ -67773,10 +77861,8 @@ 7:u22:coa, 8:u23:coas, 8:u33:stal, -11:u00:network, 11:u02:coastal, 10:u03:marine, -11:u04:science, 13:u06:Southeast, 18:u07:coastal/marine, 18:u08:marine/science, @@ -67789,7 +77875,6 @@ 8:u33:rine, 11:u01:coastal, 10:u02:marine, -11:u03:science, 13:u05:Southeast, 8:u06:Asia, 18:u07:marine/science, @@ -67801,7 +77886,6 @@ 13:u14:southeast, 11:u00:coastal, 10:u01:marine, -11:u02:science, 13:u04:Southeast, 8:u05:Asia, 14:u07:science/in, @@ -67812,7 +77896,6 @@ 13:u13:southeast, 8:u14:asia, 10:u00:marine, -11:u01:science, 13:u03:Southeast, 8:u04:Asia, 16:u07:in/Southeast, @@ -67823,7 +77906,6 @@ 8:u13:asia, 7:u32:ast, 8:u33:east, -11:u00:science, 13:u02:Southeast, 8:u03:Asia, 18:u07:Southeast/Asia, @@ -67993,7 +78075,6 @@ 6:u21:Za, 7:u22:Zai, 8:u23:Zain, -7:u32:din, 8:u33:ddin, 13:u02:Zainuddin, 11:u03:Ibrahim, @@ -68124,15 +78205,7 @@ 13:u0A:the/field, 14:u07:sampling/., 18:u0A:field/sampling, -14:u09:would/also, 14:u0A:sampling/., -14:u08:would/also, -13:u09:also/like, -14:u07:would/also, -13:u08:also/like, -13:u07:also/like, -14:u0A:would/also, -13:u0A:also/like, 8:u06:Htay, 8:u05:Htay, 8:u06:Aung, @@ -68262,7 +78335,6 @@ 9:u13:samad, 7:u22:Zuh, 8:u23:Zuha, -6:u31:mi, 7:u32:imi, 8:u33:aimi, 11:u02:Zuhaimi, @@ -68515,7 +78587,6 @@ 17:u0A:comments/that, 10:u12:helped, 11:u13:improve, -7:u32:ped, 8:u33:lped, 10:u02:helped, 11:u03:improve, @@ -68565,7 +78636,6 @@ 13:u11:300020012, 9:u03:Shane, 10:u04:Waters, -10:u05:thanks, 14:u07:_x-1/Shane, 16:u08:Shane/Waters, 17:u09:Waters/thanks, @@ -68574,10 +78644,8 @@ 8:u33:hane, 9:u02:Shane, 10:u03:Waters, -10:u04:thanks, 16:u07:Shane/Waters, 17:u08:Waters/thanks, -14:u09:thanks/the, 14:u0A:_x-1/Shane, 9:u11:shane, 10:u12:waters, @@ -68585,26 +78653,19 @@ 8:u23:Wate, 9:u01:Shane, 10:u02:Waters, -10:u03:thanks, 17:u07:Waters/thanks, -14:u08:thanks/the, 16:u0A:Shane/Waters, 9:u10:shane, 10:u11:waters, 9:u00:Shane, 10:u01:Waters, -10:u02:thanks, 12:u06:Adelaide, -14:u07:thanks/the, 17:u0A:Waters/thanks, 10:u10:waters, 10:u00:Waters, -10:u01:thanks, 12:u05:Adelaide, 15:u09:of/Adelaide, -14:u0A:thanks/the, 12:u14:adelaide, -10:u00:thanks, 12:u04:Adelaide, 15:u08:of/Adelaide, 16:u09:Adelaide/for, @@ -68954,7 +79015,6 @@ 8:u03:4643, 10:u07:-/4643, 12:u08:4643/and, -12:u09:and/also, 8:u12:4643, 6:u21:46, 7:u22:464, @@ -68963,19 +79023,16 @@ 8:u33:4643, 8:u02:4643, 12:u07:4643/and, -12:u08:and/also, 10:u09:also/a, 10:u0A:-/4643, 8:u11:4643, 8:u01:4643, -12:u07:and/also, 10:u08:also/a, 12:u0A:4643/and, 8:u10:4643, 8:u00:4643, 13:u06:Influence, 10:u07:also/a, -12:u0A:and/also, 13:u05:Influence, 15:u09:"/Influence, 10:u0A:also/a, @@ -69087,98 +79144,66 @@ 10:u09:-/4475, 8:u14:4475, 8:u04:4475, -8:u06:Both, 10:u08:-/4475, 10:u09:4475/., 8:u13:4475, 8:u03:4475, -8:u05:Both, 10:u07:-/4475, 10:u08:4475/., -10:u09:./Both, 8:u12:4475, -8:u14:both, 7:u22:447, 8:u23:4475, 7:u32:475, 8:u33:4475, 8:u02:4475, -8:u04:Both, 8:u06:them, 10:u07:4475/., -10:u08:./Both, 11:u09:Both/of, 10:u0A:-/4475, 8:u11:4475, -8:u13:both, 8:u01:4475, -8:u03:Both, 8:u05:them, -10:u07:./Both, 11:u08:Both/of, 11:u09:of/them, 10:u0A:4475/., 8:u10:4475, -8:u12:both, 8:u14:them, -7:u22:Bot, -8:u23:Both, -7:u32:oth, -8:u33:Both, 8:u00:4475, -8:u02:Both, 8:u04:them, 11:u07:Both/of, 11:u08:of/them, 12:u09:them/was, -10:u0A:./Both, -8:u11:both, 8:u13:them, -8:u01:Both, 8:u03:them, 11:u07:of/them, 12:u08:them/was, 11:u0A:Both/of, -8:u10:both, 8:u12:them, 8:u23:them, 7:u32:hem, 8:u33:them, -8:u00:Both, 8:u02:them, 12:u07:them/was, 11:u0A:of/them, 8:u11:them, 8:u01:them, -12:u06:internal, 12:u0A:them/was, 8:u10:them, 8:u00:them, -12:u05:internal, 16:u09:the/internal, -12:u14:internal, -12:u04:internal, 16:u08:the/internal, 18:u09:internal/grant, -12:u13:internal, -12:u03:internal, 16:u07:the/internal, 18:u08:internal/grant, 16:u09:grant/agency, -12:u12:internal, -12:u02:internal, 18:u07:internal/grant, 16:u08:grant/agency, 13:u09:agency/of, 16:u0A:the/internal, -12:u11:internal, -12:u01:internal, 8:u06:Brno, 16:u07:grant/agency, 13:u08:agency/of, 18:u0A:internal/grant, -12:u10:internal, -12:u00:internal, 8:u05:Brno, 13:u07:agency/of, 12:u09:the/Brno, @@ -69278,7 +79303,6 @@ 9:u09:I02/,, 13:u12:beamlines, 7:u13:i02, -8:u23:beam, 13:u02:beamlines, 7:u03:I02, 7:u05:I03, @@ -69357,61 +79381,43 @@ 9:u0A:I04/-, 7:u14:i24, 7:u04:I24, -12:u06:proposal, 11:u08:and/I24, 9:u09:I24/(, 7:u13:i24, 7:u03:I24, -12:u05:proposal, 11:u07:and/I24, 9:u08:I24/(, -14:u09:(/proposal, 7:u12:i24, -12:u14:proposal, -6:u21:I2, 7:u22:I24, 7:u23:I24, 7:u32:I24, 7:u33:I24, 7:u02:I24, -12:u04:proposal, 10:u06:MX6638, 9:u07:I24/(, -14:u08:(/proposal, 20:u09:proposal/numbers, 11:u0A:and/I24, 7:u11:i24, -12:u13:proposal, 7:u01:I24, -12:u03:proposal, 10:u05:MX6638, -14:u07:(/proposal, 20:u08:proposal/numbers, 18:u09:numbers/MX6638, 9:u0A:I24/(, 7:u10:i24, -12:u12:proposal, 10:u14:mx6638, -7:u32:sal, -8:u33:osal, 7:u00:I24, -12:u02:proposal, 10:u04:MX6638, 10:u06:MX8659, 20:u07:proposal/numbers, 18:u08:numbers/MX6638, 14:u09:MX6638/and, -14:u0A:(/proposal, -12:u11:proposal, 10:u13:mx6638, -12:u01:proposal, 10:u03:MX6638, 10:u05:MX8659, 18:u07:numbers/MX6638, 14:u08:MX6638/and, 14:u09:and/MX8659, 20:u0A:proposal/numbers, -12:u10:proposal, 10:u12:mx6638, 10:u14:mx8659, 6:u21:MX, @@ -69419,7 +79425,6 @@ 8:u23:MX66, 7:u32:638, 8:u33:6638, -12:u00:proposal, 10:u02:MX6638, 10:u04:MX8659, 14:u07:MX6638/and, @@ -69982,18 +79987,14 @@ 12:u01:Excerpta, 10:u02:Medica, 13:u07:Medica/in, -19:u09:the/preparation, 19:u0A:Excerpta/Medica, 12:u10:excerpta, 10:u11:medica, 12:u00:Excerpta, 10:u01:Medica, -19:u08:the/preparation, 13:u0A:Medica/in, 10:u10:medica, 10:u00:Medica, -19:u07:the/preparation, -19:u0A:the/preparation, 16:u09:manuscript/,, 16:u08:manuscript/,, 16:u07:manuscript/,, @@ -70014,7 +80015,6 @@ 14:u07:by/Celgene, 23:u08:Celgene/Corporation, 11:u12:celgene, -7:u22:Cel, 8:u23:Celg, 8:u33:gene, 11:u02:Celgene, @@ -70042,7 +80042,6 @@ 11:u09:for/all, 13:u0A:are/fully, 15:u12:responsible, -8:u23:resp, 15:u02:responsible, 19:u07:responsible/for, 11:u08:for/all, @@ -70144,7 +80143,6 @@ 13:u00:Götaland, 10:u04:couldn, 5:u06:t, -10:u07:_x-1/I, 12:u08:I/couldn, 12:u09:couldn/', 10:u13:couldn, @@ -70154,7 +80152,6 @@ 12:u07:I/couldn, 12:u08:couldn/', 7:u09:'/t, -10:u0A:_x-1/I, 10:u12:couldn, 8:u23:coul, 6:u31:dn, @@ -70292,24 +80289,17 @@ 13:u0A:Instead/I, 11:u10:instead, 11:u00:Instead, -18:u09:to/acknowledge, 11:u0A:I/would, -18:u08:to/acknowledge, -18:u07:to/acknowledge, 21:u09:the/contributions, 21:u08:the/contributions, 22:u09:contributions/made, -18:u0A:to/acknowledge, 21:u07:the/contributions, 22:u08:contributions/made, -11:u09:made/by, 14:u06:scientists, 22:u07:contributions/made, -11:u08:made/by, 10:u09:by/all, 21:u0A:the/contributions, 14:u05:scientists, -11:u07:made/by, 10:u08:by/all, 18:u09:all/scientists, 22:u0A:contributions/made, @@ -70318,7 +80308,6 @@ 10:u07:by/all, 18:u08:all/scientists, 17:u09:scientists/in, -11:u0A:made/by, 14:u13:scientists, 14:u03:scientists, 18:u07:all/scientists, @@ -70697,7 +80686,6 @@ 9:u10:klump, 9:u12:boker, 8:u14:burt, -7:u22:Bok, 8:u23:Boke, 8:u33:oker, 9:u00:Klump, @@ -70793,7 +80781,6 @@ 10:u09:Sisk/., 10:u12:cheryl, 8:u13:sisk, -8:u23:Cher, 8:u33:eryl, 10:u02:Cheryl, 8:u03:Sisk, @@ -70911,17 +80898,14 @@ 14:u03:appreciate, 16:u07:I/appreciate, 18:u08:appreciate/the, -16:u09:the/valuable, 21:u0A:Acknowledgments/I, 14:u12:appreciate, 14:u02:appreciate, 18:u07:appreciate/the, -16:u08:the/valuable, 22:u09:valuable/editorial, 16:u0A:I/appreciate, 14:u11:appreciate, 14:u01:appreciate, -16:u07:the/valuable, 22:u08:valuable/editorial, 25:u09:editorial/suggestions, 18:u0A:appreciate/the, @@ -70931,7 +80915,6 @@ 22:u07:valuable/editorial, 25:u08:editorial/suggestions, 19:u09:suggestions/and, -16:u0A:the/valuable, 15:u05:corrections, 25:u07:editorial/suggestions, 19:u08:suggestions/and, @@ -70939,32 +80922,24 @@ 22:u0A:valuable/editorial, 15:u14:corrections, 15:u04:corrections, -8:u06:John, 19:u07:suggestions/and, 19:u08:and/corrections, 18:u09:corrections/by, 25:u0A:editorial/suggestions, 15:u13:corrections, -15:u01:suggestions, 15:u03:corrections, -8:u05:John, 19:u07:and/corrections, 18:u08:corrections/by, 11:u09:by/John, 19:u0A:suggestions/and, -15:u10:suggestions, 15:u12:corrections, -8:u14:john, 8:u23:corr, -15:u00:suggestions, 15:u02:corrections, -8:u04:John, 18:u07:corrections/by, 11:u08:by/John, 10:u09:John/F, 19:u0A:and/corrections, 15:u11:corrections, -8:u13:john, 15:u01:corrections, 8:u06:Kern, 11:u07:by/John, @@ -71048,7 +81023,6 @@ 14:u09:Buchanan/,, 7:u12:bob, 12:u13:buchanan, -7:u22:Bob, 7:u23:Bob, 7:u32:Bob, 7:u33:Bob, @@ -71238,19 +81212,16 @@ 14:u02:especially, 17:u07:especially/in, 16:u08:in/providing, -17:u09:providing/the, 16:u0A:(/especially, 14:u11:especially, 14:u01:especially, 8:u06:list, 16:u07:in/providing, -17:u08:providing/the, 17:u09:the/reference, 17:u0A:especially/in, 14:u10:especially, 14:u00:especially, 8:u05:list, -17:u07:providing/the, 17:u08:the/reference, 18:u09:reference/list, 16:u0A:in/providing, @@ -71259,7 +81230,6 @@ 17:u07:the/reference, 18:u08:reference/list, 10:u09:list/), -17:u0A:providing/the, 8:u13:list, 8:u03:list, 18:u07:reference/list, @@ -71367,7 +81337,6 @@ 8:u10:ever, 11:u12:lasting, 15:u13:persistence, -7:u22:las, 8:u23:last, 8:u00:ever, 11:u02:lasting, @@ -71453,11 +81422,7 @@ 12:u07:letter/., 15:u0A:this/letter, 10:u11:letter, -18:u09:been/partially, -18:u08:been/partially, -18:u07:been/partially, 6:u06:EC, -18:u0A:been/partially, 6:u05:EC, 10:u09:the/EC, 6:u14:ec, @@ -71725,67 +81690,37 @@ 21:u09:anonymous/referee, 11:u14:referee, 11:u04:referee, -8:u06:Also, 21:u08:anonymous/referee, 13:u09:referee/., 12:u0A:thank/an, 11:u13:referee, 11:u03:referee, -8:u05:Also, 21:u07:anonymous/referee, 13:u08:referee/., -10:u09:./Also, 11:u12:referee, 8:u33:eree, 11:u02:referee, -8:u04:Also, 13:u07:referee/., -10:u08:./Also, -10:u09:Also/,, 21:u0A:anonymous/referee, 11:u11:referee, 13:u00:anonymous, 11:u01:referee, -8:u03:Also, -10:u07:./Also, -10:u08:Also/,, -8:u09:,/we, 13:u0A:referee/., 11:u10:referee, -7:u22:Als, -8:u23:Also, -8:u33:Also, 11:u00:referee, -8:u02:Also, -10:u07:Also/,, -8:u08:,/we, 10:u09:we/are, -10:u0A:./Also, -8:u01:Also, -8:u07:,/we, 10:u08:we/are, -12:u09:are/very, -10:u0A:Also/,, -8:u00:Also, 10:u07:we/are, -12:u08:are/very, -17:u09:very/grateful, -8:u0A:,/we, 13:u06:Professor, -12:u07:are/very, -17:u08:very/grateful, 10:u0A:we/are, 13:u05:Professor, 9:u06:Peter, -17:u07:very/grateful, 16:u09:to/Professor, -12:u0A:are/very, 13:u14:professor, 13:u04:Professor, 9:u05:Peter, 16:u08:to/Professor, 19:u09:Professor/Peter, -17:u0A:very/grateful, 13:u13:professor, 9:u14:peter, 13:u03:Professor, @@ -72263,35 +82198,16 @@ 9:u0A:LKK/[, 7:u10:lkk, 7:u00:LKK, -6:u06:20, 10:u07:2013/], 8:u08:]/No, 10:u0A:[/2013, -6:u05:20, 8:u07:]/No, 8:u09:./20, 10:u0A:2013/], -6:u14:20, -6:u04:20, 8:u08:./20, -8:u09:20/), 8:u0A:]/No, -6:u13:20, -6:u03:20, 8:u07:./20, -8:u08:20/), -6:u12:20, -6:u22:20, -6:u23:20, -6:u32:20, -6:u33:20, -6:u02:20, -8:u07:20/), 8:u0A:./20, -6:u11:20, -6:u01:20, -8:u0A:20/), -6:u10:20, 17:u09:./Development, 17:u08:./Development, 18:u09:Development/of, @@ -72441,20 +82357,16 @@ 17:u01:international, 9:u02:AGAGE, 18:u07:AGAGE/research, -15:u09:program/and, 23:u0A:international/AGAGE, 9:u11:agage, 17:u00:international, 9:u01:AGAGE, -15:u08:program/and, 17:u09:and/supported, 18:u0A:AGAGE/research, 9:u10:agage, 9:u00:AGAGE, -15:u07:program/and, 17:u08:and/supported, 17:u07:and/supported, -15:u0A:program/and, 9:u06:Upper, 12:u09:the/NASA, 17:u0A:and/supported, @@ -72495,15 +82407,12 @@ 14:u0A:Program/in, 14:u06:NNX07AE89G, 11:u08:US/with, -15:u09:with/grants, 14:u05:NNX07AE89G, 11:u07:US/with, -15:u08:with/grants, 21:u09:grants/NNX07AE89G, 14:u14:nnx07ae89g, 14:u04:NNX07AE89G, 7:u06:MIT, -15:u07:with/grants, 21:u08:grants/NNX07AE89G, 17:u09:NNX07AE89G/to, 11:u0A:US/with, @@ -72513,7 +82422,6 @@ 21:u07:grants/NNX07AE89G, 17:u08:NNX07AE89G/to, 10:u09:to/MIT, -15:u0A:with/grants, 14:u12:nnx07ae89g, 7:u14:mit, 7:u22:NNX, @@ -73268,17 +83176,13 @@ 14:u0A:deceased/), 9:u07:and/R, 9:u0A:and/R, -7:u09:,/N, 15:u06:Schmidbauer, -7:u08:,/N, 15:u05:Schmidbauer, -7:u07:,/N, 17:u09:./Schmidbauer, 15:u14:schmidbauer, 15:u04:Schmidbauer, 17:u08:./Schmidbauer, 17:u09:Schmidbauer/,, -7:u0A:,/N, 15:u13:schmidbauer, 15:u03:Schmidbauer, 17:u07:./Schmidbauer, @@ -73786,23 +83690,18 @@ 17:u07:In/particular, 16:u08:particular/,, 14:u12:particular, -8:u33:ular, 14:u02:particular, 16:u07:particular/,, -12:u09:we/thank, 17:u0A:In/particular, 14:u11:particular, 14:u01:particular, -12:u08:we/thank, 11:u09:thank/G, 16:u0A:particular/,, 14:u10:particular, 14:u00:particular, -12:u07:we/thank, 11:u08:thank/G, 11:u07:thank/G, 11:u09:./Spain, -12:u0A:we/thank, 8:u06:Mace, 11:u08:./Spain, 11:u09:Spain/(, @@ -74238,8 +84137,6 @@ 12:u08:system/., 15:u0A:Grim/Medusa, 10:u12:system, -7:u32:tem, -8:u33:stem, 10:u02:system, 12:u07:system/., 17:u0A:Medusa/system, @@ -74371,7 +84268,6 @@ 6:u21:IA, 7:u22:IAI, 7:u23:IAI, -6:u31:AI, 7:u32:IAI, 7:u33:IAI, 7:u02:IAI, @@ -74414,16 +84310,13 @@ 7:u06:AAC, 24:u07:Australian/Aluminium, 21:u08:Aluminium/Council, -13:u09:Council/,, 16:u0A:(/Australian, 7:u05:AAC, 21:u07:Aluminium/Council, -13:u08:Council/,, 9:u09:,/AAC, 24:u0A:Australian/Aluminium, 7:u14:aac, 7:u04:AAC, -13:u07:Council/,, 9:u08:,/AAC, 9:u09:AAC/), 21:u0A:Aluminium/Council, @@ -74431,7 +84324,6 @@ 7:u03:AAC, 9:u07:,/AAC, 9:u08:AAC/), -13:u0A:Council/,, 7:u12:aac, 7:u22:AAC, 7:u23:AAC, @@ -74448,22 +84340,15 @@ 7:u00:AAC, 11:u08:the/two, 11:u07:the/two, -17:u09:reviewers/for, 11:u0A:the/two, 14:u06:insightful, -17:u08:reviewers/for, 14:u05:insightful, -17:u07:reviewers/for, 20:u09:their/insightful, 14:u14:insightful, -13:u01:reviewers, 14:u04:insightful, 20:u08:their/insightful, 23:u09:insightful/comments, -17:u0A:reviewers/for, -13:u10:reviewers, 14:u13:insightful, -13:u00:reviewers, 14:u03:insightful, 20:u07:their/insightful, 23:u08:insightful/comments, @@ -74607,7 +84492,6 @@ 12:u10:leukemia, 12:u12:lymphoma, 8:u14:scor, -6:u21:Ly, 7:u22:Lym, 8:u23:Lymp, 12:u00:Leukemia, @@ -74632,7 +84516,6 @@ 7:u14:lls, 7:u22:SCO, 8:u23:SCOR, -6:u31:OR, 7:u32:COR, 8:u33:SCOR, 12:u00:Lymphoma, @@ -74891,7 +84774,6 @@ 12:u10:boguñá, 14:u12:alessandro, 12:u13:flammini, -7:u22:Ale, 8:u23:Ales, 7:u32:dro, 8:u33:ndro, @@ -75030,20 +84912,16 @@ 8:u33:mslo, 10:u02:Romslo, 14:u07:Romslo/for, -23:u09:helpful/discussions, 12:u0A:./Romslo, 10:u11:romslo, 10:u01:Romslo, -23:u08:helpful/discussions, 17:u09:discussions/., 14:u0A:Romslo/for, 10:u10:romslo, 10:u00:Romslo, -23:u07:helpful/discussions, 17:u08:discussions/., 17:u07:discussions/., 17:u09:The/technical, -23:u0A:helpful/discussions, 17:u08:The/technical, 17:u0A:discussions/., 7:u06:Mrs, @@ -75074,7 +84952,6 @@ 8:u14:iden, 7:u01:Mrs, 8:u04:Iden, -11:u06:greatly, 10:u08:./Iden, 11:u09:Iden/is, 9:u0A:Mrs/A, @@ -75082,44 +84959,29 @@ 8:u13:iden, 7:u00:Mrs, 8:u03:Iden, -11:u05:greatly, 10:u07:./Iden, 11:u08:Iden/is, 14:u09:is/greatly, 8:u12:iden, -11:u14:greatly, 6:u21:Id, 7:u22:Ide, 8:u23:Iden, 8:u33:Iden, 8:u02:Iden, -11:u04:greatly, 11:u07:Iden/is, 14:u08:is/greatly, 24:u09:greatly/acknowledged, 10:u0A:./Iden, 8:u11:iden, -11:u13:greatly, 8:u01:Iden, -11:u03:greatly, 14:u07:is/greatly, 24:u08:greatly/acknowledged, 11:u0A:Iden/is, 8:u10:iden, -11:u12:greatly, -7:u22:gre, -8:u23:grea, -8:u33:atly, 8:u00:Iden, -11:u02:greatly, 24:u07:greatly/acknowledged, 14:u0A:is/greatly, -11:u11:greatly, -11:u01:greatly, 24:u0A:greatly/acknowledged, -11:u10:greatly, -11:u00:greatly, -18:u0A:acknowledged/., 17:u09:the/Norwegian, 17:u08:the/Norwegian, 17:u07:the/Norwegian, @@ -75502,14 +85364,12 @@ 20:u08:continuing/close, 21:u09:close/cooperation, 9:u13:close, -15:u14:cooperation, 9:u03:close, 15:u04:cooperation, 20:u07:continuing/close, 21:u08:close/cooperation, 20:u09:cooperation/with, 9:u12:close, -15:u13:cooperation, 7:u22:clo, 8:u23:clos, 8:u33:lose, @@ -75521,7 +85381,6 @@ 12:u09:with/our, 20:u0A:continuing/close, 9:u11:close, -15:u12:cooperation, 9:u01:close, 15:u02:cooperation, 16:u05:experimental, @@ -75530,7 +85389,6 @@ 20:u09:our/experimental, 21:u0A:close/cooperation, 9:u10:close, -15:u11:cooperation, 16:u14:experimental, 9:u00:close, 15:u01:cooperation, @@ -75539,7 +85397,6 @@ 20:u08:our/experimental, 22:u09:experimental/group, 20:u0A:cooperation/with, -15:u10:cooperation, 16:u13:experimental, 15:u00:cooperation, 16:u03:experimental, @@ -75656,7 +85513,6 @@ 10:u00:DAPNIA, 7:u02:SPP, 6:u04:CE, -10:u06:Saclay, 9:u07:SPP/,, 8:u08:,/CE, 8:u09:CE/-, @@ -75665,58 +85521,39 @@ 6:u13:ce, 7:u01:SPP, 6:u03:CE, -10:u05:Saclay, 8:u07:,/CE, 8:u08:CE/-, -12:u09:-/Saclay, 9:u0A:SPP/,, 7:u10:spp, 6:u12:ce, -10:u14:saclay, 6:u22:CE, 6:u23:CE, 6:u32:CE, 6:u33:CE, 7:u00:SPP, 6:u02:CE, -10:u04:Saclay, 8:u07:CE/-, -12:u08:-/Saclay, 14:u09:Saclay/for, 8:u0A:,/CE, 6:u11:ce, -10:u13:saclay, 6:u01:CE, -10:u03:Saclay, 11:u06:efforts, -12:u07:-/Saclay, 14:u08:Saclay/for, 8:u0A:CE/-, 6:u10:ce, -10:u12:saclay, -7:u22:Sac, -8:u23:Sacl, -7:u32:lay, -8:u33:clay, 6:u00:CE, -10:u02:Saclay, 11:u05:efforts, 8:u06:over, 14:u07:Saclay/for, 17:u09:their/efforts, -12:u0A:-/Saclay, -10:u11:saclay, 11:u14:efforts, -10:u01:Saclay, 11:u04:efforts, 8:u05:over, 17:u08:their/efforts, 16:u09:efforts/over, 14:u0A:Saclay/for, -10:u10:saclay, 11:u13:efforts, 8:u14:over, -10:u00:Saclay, 11:u03:efforts, 8:u04:over, 9:u06:years, @@ -76140,12 +85977,10 @@ 19:u08:Malignant/Tumor, 21:u09:Tumor/Epigenetics, 13:u12:malignant, -8:u23:Mali, 8:u33:nant, 13:u02:Malignant, 9:u03:Tumor, 15:u04:Epigenetics, -8:u06:Gene, 19:u07:Malignant/Tumor, 21:u08:Tumor/Epigenetics, 19:u09:Epigenetics/and, @@ -76157,38 +85992,30 @@ 13:u01:Malignant, 9:u02:Tumor, 15:u03:Epigenetics, -8:u05:Gene, 14:u06:Regulation, 21:u07:Tumor/Epigenetics, 19:u08:Epigenetics/and, 12:u09:and/Gene, 19:u0A:Malignant/Tumor, 13:u10:malignant, -8:u14:gene, 8:u23:Epig, 13:u00:Malignant, 9:u01:Tumor, 15:u02:Epigenetics, -8:u04:Gene, 14:u05:Regulation, 19:u07:Epigenetics/and, 12:u08:and/Gene, 19:u09:Gene/Regulation, 21:u0A:Tumor/Epigenetics, -8:u13:gene, 9:u00:Tumor, 15:u01:Epigenetics, -8:u03:Gene, 14:u04:Regulation, 7:u06:Sun, 12:u07:and/Gene, 19:u08:Gene/Regulation, 16:u09:Regulation/,, 19:u0A:Epigenetics/and, -8:u12:gene, -8:u33:Gene, 15:u00:Epigenetics, -8:u02:Gene, 14:u03:Regulation, 7:u05:Sun, 7:u06:Yat, @@ -76196,10 +86023,8 @@ 16:u08:Regulation/,, 9:u09:,/Sun, 12:u0A:and/Gene, -8:u11:gene, 7:u14:sun, 8:u23:Regu, -8:u01:Gene, 14:u02:Regulation, 7:u04:Sun, 7:u05:Yat, @@ -76207,10 +86032,8 @@ 9:u08:,/Sun, 11:u09:Sun/Yat, 19:u0A:Gene/Regulation, -8:u10:gene, 7:u13:sun, 7:u14:yat, -8:u00:Gene, 14:u01:Regulation, 7:u03:Sun, 7:u04:Yat, @@ -76291,7 +86114,6 @@ 18:u09:flow/cytometry, 18:u0A:Sen/University, 8:u13:flow, -13:u14:cytometry, 8:u03:flow, 13:u04:cytometry, 12:u07:for/flow, @@ -76299,7 +86121,6 @@ 22:u09:cytometry/analysis, 18:u0A:University/for, 8:u12:flow, -13:u13:cytometry, 7:u22:flo, 8:u23:flow, 8:u33:flow, @@ -76309,21 +86130,17 @@ 22:u08:cytometry/analysis, 12:u0A:for/flow, 8:u11:flow, -13:u12:cytometry, 6:u21:cy, 7:u22:cyt, 8:u23:cyto, -8:u33:etry, 8:u01:flow, 13:u02:cytometry, 22:u07:cytometry/analysis, 18:u0A:flow/cytometry, 8:u10:flow, -13:u11:cytometry, 8:u00:flow, 13:u01:cytometry, 22:u0A:cytometry/analysis, -13:u10:cytometry, 15:u09:the/CONACyT, 15:u08:the/CONACyT, 20:u09:CONACyT/projects, @@ -76425,7 +86242,6 @@ 10:u09:-/UNAM, 9:u12:dgapa, 8:u14:unam, -7:u22:DGA, 8:u23:DGAP, 7:u32:APA, 8:u33:GAPA, @@ -76497,7 +86313,6 @@ 10:u0A:Kalb/,, 8:u10:kalb, 10:u12:yankai, -7:u22:Yan, 8:u23:Yank, 7:u32:kai, 8:u33:nkai, @@ -77273,7 +87088,6 @@ 11:u10:tec2010, 9:u12:20224, 7:u14:c02, -8:u23:2022, 8:u33:0224, 11:u00:TEC2010, 9:u02:20224, @@ -77350,7 +87164,6 @@ 6:u21:MG, 7:u22:MGT, 7:u23:MGT, -6:u31:GT, 7:u32:MGT, 7:u33:MGT, 9:u00:ECOAL, @@ -77391,41 +87204,17 @@ 19:u09:his/suggestions, 15:u0A:the/referee, 19:u08:his/suggestions, -21:u09:suggestions/which, 15:u0A:referee/for, 19:u07:his/suggestions, -21:u08:suggestions/which, 16:u09:which/helped, -13:u06:improving, -21:u07:suggestions/which, 16:u08:which/helped, 13:u09:helped/in, 19:u0A:his/suggestions, -13:u05:improving, 16:u07:which/helped, 13:u08:helped/in, -16:u09:in/improving, -21:u0A:suggestions/which, -13:u14:improving, -13:u04:improving, 13:u07:helped/in, -16:u08:in/improving, -17:u09:improving/the, 16:u0A:which/helped, -13:u13:improving, -13:u03:improving, -16:u07:in/improving, -17:u08:improving/the, 13:u0A:helped/in, -13:u12:improving, -13:u02:improving, -17:u07:improving/the, -16:u0A:in/improving, -13:u11:improving, -13:u01:improving, -17:u0A:improving/the, -13:u10:improving, -13:u00:improving, 12:u03:Foremost, 17:u07:_x-1/Foremost, 15:u08:Foremost/we, @@ -77827,28 +87616,21 @@ 18:u0A:1/considerably, 16:u11:considerably, 11:u09:the/Key, -15:u06:Cooperation, 11:u08:the/Key, 21:u09:Key/International, -15:u05:Cooperation, 11:u07:the/Key, 21:u08:Key/International, 29:u09:International/Cooperation, -15:u04:Cooperation, 21:u07:Key/International, 29:u08:International/Cooperation, 23:u09:Cooperation/Program, 11:u0A:the/Key, -15:u03:Cooperation, 29:u07:International/Cooperation, 23:u08:Cooperation/Program, 21:u0A:Key/International, -15:u02:Cooperation, 23:u07:Cooperation/Program, 29:u0A:International/Cooperation, -15:u01:Cooperation, 23:u0A:Cooperation/Program, -15:u00:Cooperation, 13:u09:(/project, 13:u08:(/project, 14:u09:project/no, @@ -77944,7 +87726,6 @@ 11:u09:-/IAS08, 9:u12:astip, 9:u14:ias08, -7:u22:AST, 8:u23:ASTI, 6:u31:IP, 7:u32:TIP, @@ -78148,7 +87929,6 @@ 10:u12:george, 9:u13:banks, 8:u23:Geor, -8:u33:orge, 8:u00:book, 10:u02:George, 9:u03:Banks, @@ -78231,66 +88011,51 @@ 12:u0A:,/London, 11:u14:chapman, 11:u04:Chapman, -10:u06:Senior, 11:u07:./Scott, 17:u08:Scott/Chapman, 13:u09:Chapman/,, 12:u0A:London/., 11:u13:chapman, 11:u03:Chapman, -10:u05:Senior, 11:u06:Partner, 17:u07:Scott/Chapman, 13:u08:Chapman/,, 12:u09:,/Senior, 11:u0A:./Scott, 11:u12:chapman, -10:u14:senior, 8:u23:Chap, 8:u33:pman, 11:u02:Chapman, -10:u04:Senior, 11:u05:Partner, 13:u07:Chapman/,, 12:u08:,/Senior, 18:u09:Senior/Partner, 17:u0A:Scott/Chapman, 11:u11:chapman, -10:u13:senior, 11:u14:partner, 11:u01:Chapman, -10:u03:Senior, 11:u04:Partner, 12:u07:,/Senior, 18:u08:Senior/Partner, 13:u09:Partner/,, 13:u0A:Chapman/,, 11:u10:chapman, -10:u12:senior, 11:u13:partner, -8:u23:Seni, -8:u33:nior, 11:u00:Chapman, -10:u02:Senior, 11:u03:Partner, 14:u06:Litigation, 18:u07:Senior/Partner, 13:u08:Partner/,, 12:u0A:,/Senior, -10:u11:senior, 11:u12:partner, -7:u32:ner, 8:u33:tner, -10:u01:Senior, 11:u02:Partner, 14:u05:Litigation, 13:u07:Partner/,, 22:u09:Medical/Litigation, 18:u0A:Senior/Partner, -10:u10:senior, 11:u11:partner, 14:u14:litigation, -10:u00:Senior, 11:u01:Partner, 14:u04:Litigation, 9:u06:Tress, @@ -78327,7 +88092,6 @@ 14:u10:litigation, 9:u12:tress, 7:u14:cox, -7:u22:Tre, 8:u23:Tres, 14:u00:Litigation, 9:u02:Tress, @@ -78467,7 +88231,6 @@ 26:u09:Cooperative/Agreements, 9:u0A:-/ARS, 7:u11:ars, -14:u14:agreements, 7:u01:ARS, 14:u04:Agreements, 6:u05:58, @@ -78476,7 +88239,6 @@ 17:u09:Agreements/58, 16:u0A:ARS/Specific, 7:u10:ars, -14:u13:agreements, 6:u14:58, 7:u00:ARS, 14:u03:Agreements, @@ -78486,7 +88248,6 @@ 17:u08:Agreements/58, 8:u09:58/-, 24:u0A:Specific/Cooperative, -14:u12:agreements, 6:u13:58, 14:u02:Agreements, 6:u03:58, @@ -78495,7 +88256,6 @@ 8:u08:58/-, 10:u09:-/5320, 26:u0A:Cooperative/Agreements, -14:u11:agreements, 6:u12:58, 8:u14:5320, 6:u21:58, @@ -78510,7 +88270,6 @@ 10:u08:-/5320, 10:u09:5320/-, 17:u0A:Agreements/58, -14:u10:agreements, 6:u11:58, 8:u13:5320, 14:u00:Agreements, @@ -78577,48 +88336,31 @@ 9:u09:-/018, 7:u14:018, 7:u04:018, -11:u06:managed, 7:u07:4/-, 9:u08:-/018, 9:u09:018/,, 7:u0A:-/4, 7:u13:018, 7:u03:018, -11:u05:managed, 9:u07:-/018, 9:u08:018/,, 13:u09:,/managed, 7:u0A:4/-, 7:u12:018, -11:u14:managed, 7:u23:018, 7:u33:018, 7:u02:018, -11:u04:managed, 9:u07:018/,, 13:u08:,/managed, -14:u09:managed/by, 9:u0A:-/018, 7:u11:018, -11:u13:managed, 7:u01:018, -11:u03:managed, 13:u07:,/managed, -14:u08:managed/by, 9:u0A:018/,, 7:u10:018, -11:u12:managed, -8:u33:aged, 7:u00:018, -11:u02:managed, -14:u07:managed/by, 13:u0A:,/managed, -11:u11:managed, -11:u01:managed, 10:u06:Hawaii, -14:u0A:managed/by, -11:u10:managed, -11:u00:managed, 10:u05:Hawaii, 13:u09:of/Hawaii, 10:u14:hawaii, @@ -78700,7 +88442,6 @@ 8:u0A:UH/-, 6:u10:uh, 9:u12:ctahr, -7:u22:CTA, 8:u23:CTAH, 7:u32:AHR, 8:u33:TAHR, @@ -79157,10 +88898,8 @@ 12:u0A:and/long, 9:u12:hours, 14:u13:discussing, -6:u21:ho, 7:u22:hou, 8:u23:hour, -7:u32:urs, 8:u33:ours, 8:u01:long, 9:u02:hours, @@ -79254,7 +88993,6 @@ 15:u09:complex/and, 7:u12:off, 11:u13:complex, -6:u21:OF, 7:u22:OFF, 7:u23:OFF, 6:u31:FF, @@ -79350,7 +89088,6 @@ 9:u13:flies, 7:u22:fru, 8:u23:frui, -7:u32:uit, 8:u33:ruit, 10:u01:dacine, 9:u02:fruit, @@ -80014,15 +89751,11 @@ 20:u0A:Iranian/Ministry, 11:u10:iranian, 11:u00:Iranian, -15:u09:and/Medical, -15:u08:and/Medical, 21:u09:Medical/Education, -15:u07:and/Medical, 21:u08:Medical/Education, 15:u09:Education/,, 21:u07:Medical/Education, 15:u08:Education/,, -15:u0A:and/Medical, 15:u07:Education/,, 21:u0A:Medical/Education, 18:u09:Swedish/Cancer, @@ -80064,8 +89797,6 @@ 8:u12:king, 10:u13:gustaf, 7:u14:vth, -7:u22:Kin, -8:u23:King, 8:u33:King, 8:u02:King, 10:u03:Gustaf, @@ -80704,7 +90435,6 @@ 12:u0A:system/,, 7:u22:SWA, 8:u23:SWAN, -6:u31:AN, 7:u32:WAN, 8:u33:SWAN, 8:u02:SWAN, @@ -80725,7 +90455,6 @@ 12:u07:and/ROMS, 15:u08:ROMS/models, 8:u12:roms, -7:u22:ROM, 8:u23:ROMS, 7:u32:OMS, 8:u33:ROMS, @@ -80771,19 +90500,11 @@ 16:u08:grant/N00014, 10:u0A:by/ONR, 16:u07:grant/N00014, -8:u09:-/13, 13:u0A:ONR/grant, -8:u08:-/13, -8:u09:13/-, 16:u0A:grant/N00014, -8:u07:-/13, -8:u08:13/-, 8:u06:0368, -8:u07:13/-, -8:u0A:-/13, 8:u05:0368, 10:u09:-/0368, -8:u0A:13/-, 8:u14:0368, 8:u04:0368, 10:u08:-/0368, @@ -81350,7 +91071,6 @@ 11:u12:brzeski, 7:u22:Brz, 8:u23:Brze, -7:u32:ski, 8:u33:eski, 11:u01:Kristin, 11:u02:Brzeski, @@ -81447,63 +91167,47 @@ 9:u06:Hilde, 18:u0A:research/study, 9:u05:Hilde, -7:u06:Van, 21:u09:acknowledge/Hilde, 9:u14:hilde, 9:u04:Hilde, -7:u05:Van, 8:u06:Esch, 21:u08:acknowledge/Hilde, 13:u09:Hilde/Van, 9:u13:hilde, -7:u14:van, 9:u03:Hilde, -7:u04:Van, 8:u05:Esch, 21:u07:acknowledge/Hilde, 13:u08:Hilde/Van, 12:u09:Van/Esch, 9:u12:hilde, -7:u13:van, 8:u14:esch, -7:u22:Hil, 8:u23:Hild, 7:u32:lde, 8:u33:ilde, 9:u02:Hilde, -7:u03:Van, 8:u04:Esch, 13:u07:Hilde/Van, 12:u08:Van/Esch, 12:u09:Esch/for, 21:u0A:acknowledge/Hilde, 9:u11:hilde, -7:u12:van, 8:u13:esch, -7:u23:Van, -7:u32:Van, -7:u33:Van, 9:u01:Hilde, -7:u02:Van, 8:u03:Esch, 12:u07:Van/Esch, 12:u08:Esch/for, 13:u0A:Hilde/Van, 9:u10:hilde, -7:u11:van, 8:u12:esch, 7:u22:Esc, 8:u23:Esch, 8:u33:Esch, 9:u00:Hilde, -7:u01:Van, 8:u02:Esch, 11:u06:patient, 12:u07:Esch/for, 12:u0A:Van/Esch, -7:u10:van, 8:u11:esch, -7:u00:Van, 8:u01:Esch, 11:u05:patient, 15:u06:recruitment, @@ -81677,16 +91381,12 @@ 11:u01:careful, 15:u07:reading/and, 16:u08:and/valuable, -21:u09:valuable/comments, 19:u0A:careful/reading, 11:u10:careful, 11:u00:careful, 16:u07:and/valuable, -21:u08:valuable/comments, 15:u0A:reading/and, -21:u07:valuable/comments, 16:u0A:and/valuable, -21:u0A:valuable/comments, 10:u06:Marine, 10:u05:Marine, 12:u06:Products, @@ -81893,7 +91593,6 @@ 9:u13:kumar, 7:u22:Jay, 8:u23:Jaya, -6:u31:ya, 7:u32:aya, 8:u33:Jaya, 8:u02:Jaya, @@ -82336,7 +92035,6 @@ 7:u14:mfb, 7:u22:NIO, 8:u23:NIOS, -6:u31:SH, 7:u32:OSH, 8:u33:IOSH, 7:u00:CDC, @@ -82496,7 +92194,6 @@ 9:u03:10414, 11:u07:-/10414, 11:u08:10414/,, -12:u09:,/Centre, 8:u0A:NS/-, 6:u10:ns, 9:u12:10414, @@ -82505,16 +92202,12 @@ 6:u00:NS, 9:u02:10414, 11:u07:10414/,, -12:u08:,/Centre, 11:u0A:-/10414, 9:u11:10414, 9:u01:10414, -12:u07:,/Centre, 11:u0A:10414/,, 9:u10:10414, 9:u00:10414, -12:u0A:,/Centre, -8:u06:CNRS, 10:u09:(/CNRS, 10:u08:(/CNRS, 15:u06:destruction, @@ -82559,111 +92252,59 @@ 11:u10:process, 11:u00:process, 16:u07:,/Ministère, -16:u06:Enseignement, 16:u0A:,/Ministère, -16:u05:Enseignement, -14:u06:Supérieur, 18:u09:'/Enseignement, -16:u14:enseignement, -16:u04:Enseignement, -14:u05:Supérieur, 18:u08:'/Enseignement, -27:u09:Enseignement/Supérieur, -16:u13:enseignement, -14:u14:supérieur, -16:u03:Enseignement, -14:u04:Supérieur, 18:u07:'/Enseignement, -27:u08:Enseignement/Supérieur, 17:u09:Supérieur/et, -16:u12:enseignement, -14:u13:supérieur, -8:u23:Ense, -16:u02:Enseignement, -14:u03:Supérieur, -27:u07:Enseignement/Supérieur, 17:u08:Supérieur/et, 18:u0A:'/Enseignement, -16:u11:enseignement, -14:u12:supérieur, -9:u23:Supé, -7:u32:eur, -8:u33:ieur, -16:u01:Enseignement, -14:u02:Supérieur, 17:u07:Supérieur/et, -27:u0A:Enseignement/Supérieur, -16:u10:enseignement, -14:u11:supérieur, -16:u00:Enseignement, -14:u01:Supérieur, 17:u0A:Supérieur/et, -14:u10:supérieur, -14:u00:Supérieur, -13:u06:Fondation, 15:u09:Recherche/,, -13:u05:Fondation, 7:u06:NRJ, 15:u08:Recherche/,, -15:u09:,/Fondation, -13:u14:fondation, -13:u04:Fondation, 7:u05:NRJ, 15:u07:Recherche/,, -15:u08:,/Fondation, 17:u09:Fondation/NRJ, -13:u13:fondation, 7:u14:nrj, -13:u03:Fondation, 7:u04:NRJ, -15:u07:,/Fondation, 17:u08:Fondation/NRJ, 9:u09:NRJ/-, 15:u0A:Recherche/,, -13:u12:fondation, 7:u13:nrj, -13:u02:Fondation, 7:u03:NRJ, 17:u07:Fondation/NRJ, 9:u08:NRJ/-, 14:u09:-/Institut, -15:u0A:,/Fondation, -13:u11:fondation, 7:u12:nrj, 7:u22:NRJ, 7:u23:NRJ, 6:u31:RJ, 7:u32:NRJ, 7:u33:NRJ, -13:u01:Fondation, 7:u02:NRJ, 9:u07:NRJ/-, 14:u08:-/Institut, 15:u09:Institut/de, 17:u0A:Fondation/NRJ, -13:u10:fondation, 7:u11:nrj, -13:u00:Fondation, 7:u01:NRJ, 14:u07:-/Institut, 15:u08:Institut/de, -13:u09:de/France, 9:u0A:NRJ/-, 7:u10:nrj, 7:u00:NRJ, 7:u06:JOC, 15:u07:Institut/de, -13:u08:de/France, 14:u0A:-/Institut, 7:u05:JOC, -13:u07:de/France, 10:u09:to/JOC, 15:u0A:Institut/de, 7:u14:joc, 7:u04:JOC, 10:u08:to/JOC, 11:u09:JOC/and, -13:u0A:de/France, 7:u13:joc, 7:u03:JOC, 10:u07:to/JOC, @@ -82673,7 +92314,6 @@ 6:u21:JO, 7:u22:JOC, 7:u23:JOC, -6:u31:OC, 7:u32:JOC, 7:u33:JOC, 7:u02:JOC, @@ -82822,19 +92462,16 @@ 12:u06:guidance, 18:u07:Third/Hospital, 16:u08:Hospital/for, -17:u09:for/technical, 20:u0A:University/Third, 9:u01:Third, 12:u05:guidance, 16:u07:Hospital/for, -17:u08:for/technical, 22:u09:technical/guidance, 18:u0A:Third/Hospital, 12:u14:guidance, 9:u00:Third, 12:u04:guidance, 7:u06:PC3, -17:u07:for/technical, 22:u08:technical/guidance, 14:u09:guidance/., 16:u0A:Hospital/for, @@ -82844,7 +92481,6 @@ 22:u07:technical/guidance, 14:u08:guidance/., 9:u09:./PC3, -17:u0A:for/technical, 12:u12:guidance, 7:u14:pc3, 7:u22:gui, @@ -82923,7 +92559,6 @@ 10:u09:by/Wei, 11:u12:donated, 7:u14:wei, -8:u23:dona, 11:u02:donated, 7:u04:Wei, 9:u05:Zhang, @@ -83054,55 +92689,39 @@ 13:u08:thank/for, 13:u0A:people/to, 13:u07:thank/for, -6:u06:it, 13:u09:book/that, 13:u0A:thank/for, -6:u05:it, 9:u06:could, 13:u08:book/that, 11:u09:that/it, -6:u14:it, -6:u04:it, 9:u05:could, 13:u07:book/that, 11:u08:that/it, 12:u09:it/could, -6:u13:it, 9:u14:could, -6:u03:it, 9:u04:could, 6:u06:ve, 11:u07:that/it, 12:u08:it/could, 11:u09:could/', 13:u0A:book/that, -6:u12:it, 9:u13:could, -6:u22:it, -6:u23:it, -6:u32:it, -6:u33:it, -6:u02:it, 9:u03:could, 6:u05:ve, 12:u07:it/could, 11:u08:could/', 8:u09:'/ve, 11:u0A:that/it, -6:u11:it, 9:u12:could, 6:u14:ve, -6:u01:it, 9:u02:could, 6:u04:ve, 11:u07:could/', 8:u08:'/ve, 11:u09:ve/_x+1, 12:u0A:it/could, -6:u10:it, 9:u11:could, 6:u13:ve, -6:u00:it, 9:u01:could, 6:u03:ve, 8:u07:'/ve, @@ -83244,49 +92863,37 @@ 8:u12:baud, 7:u22:Bau, 8:u23:Baud, -6:u31:ud, 7:u32:aud, 8:u33:Baud, 12:u01:Laetitia, 8:u02:Baud, -10:u06:animal, 12:u07:Baud/for, 17:u0A:Laetitia/Baud, 12:u10:laetitia, 8:u11:baud, 12:u00:Laetitia, 8:u01:Baud, -10:u05:animal, 15:u09:with/animal, 12:u0A:Baud/for, 8:u10:baud, 8:u00:Baud, -10:u04:animal, 15:u08:with/animal, -15:u09:animal/care, -10:u03:animal, 11:u06:Quentin, 15:u07:with/animal, -15:u08:animal/care, 10:u09:care/,, -10:u02:animal, 11:u05:Quentin, 11:u06:Barraud, -15:u07:animal/care, 10:u08:care/,, 13:u09:,/Quentin, 15:u0A:with/animal, 11:u14:quentin, -10:u01:animal, 11:u04:Quentin, 11:u05:Barraud, 10:u07:care/,, 13:u08:,/Quentin, 19:u09:Quentin/Barraud, -15:u0A:animal/care, 11:u13:quentin, 11:u14:barraud, -10:u00:animal, 11:u03:Quentin, 11:u04:Barraud, 9:u06:Julie, @@ -83310,7 +92917,6 @@ 11:u11:quentin, 11:u12:barraud, 9:u14:julie, -8:u23:Barr, 8:u33:raud, 11:u01:Quentin, 11:u02:Barraud, @@ -83632,7 +93238,6 @@ 13:u07:his/moral, 17:u08:moral/support, 9:u12:moral, -7:u22:mor, 8:u23:mora, 9:u02:moral, 17:u07:moral/support, @@ -84005,8 +93610,6 @@ 7:u12:epr, 7:u22:EPR, 7:u23:EPR, -6:u31:PR, -7:u32:EPR, 7:u33:EPR, 7:u02:EPR, 7:u05:IFM, @@ -84099,7 +93702,6 @@ 12:u09:Sandra/S, 10:u13:sandra, 10:u03:Sandra, -9:u06:Eaton, 20:u07:Professor/Sandra, 12:u08:Sandra/S, 17:u0A:and/Professor, @@ -84107,39 +93709,25 @@ 7:u32:dra, 8:u33:ndra, 10:u02:Sandra, -9:u05:Eaton, 12:u07:Sandra/S, 11:u09:./Eaton, 20:u0A:Professor/Sandra, 10:u11:sandra, -9:u14:eaton, 10:u01:Sandra, -9:u04:Eaton, 11:u08:./Eaton, 11:u09:Eaton/,, 12:u0A:Sandra/S, 10:u10:sandra, -9:u13:eaton, 10:u00:Sandra, -9:u03:Eaton, 11:u07:./Eaton, 11:u08:Eaton/,, -9:u12:eaton, -7:u22:Eat, -8:u23:Eato, -8:u33:aton, -9:u02:Eaton, 10:u06:Denver, 11:u07:Eaton/,, 11:u0A:./Eaton, -9:u11:eaton, -9:u01:Eaton, 10:u05:Denver, 13:u09:of/Denver, 11:u0A:Eaton/,, -9:u10:eaton, 10:u14:denver, -9:u00:Eaton, 10:u04:Denver, 13:u08:of/Denver, 12:u09:Denver/,, @@ -84148,7 +93736,6 @@ 13:u07:of/Denver, 12:u08:Denver/,, 10:u12:denver, -7:u22:Den, 8:u23:Denv, 8:u33:nver, 10:u02:Denver, @@ -84403,7 +93990,6 @@ 21:u08:determining/inter, 16:u0A:software/for, 15:u12:determining, -7:u22:det, 8:u23:dete, 12:u00:software, 15:u02:determining, @@ -84946,7 +94532,6 @@ 10:u03:Munich, 12:u07:,/Munich, 12:u08:Munich/), -8:u09:)/is, 9:u0A:mbH/,, 7:u10:mbh, 10:u12:munich, @@ -84956,19 +94541,12 @@ 7:u00:mbH, 10:u02:Munich, 12:u07:Munich/), -8:u08:)/is, -19:u09:is/acknowledged, 12:u0A:,/Munich, 10:u11:munich, 10:u01:Munich, -8:u07:)/is, -19:u08:is/acknowledged, 12:u0A:Munich/), 10:u10:munich, 10:u00:Munich, -19:u07:is/acknowledged, -8:u0A:)/is, -19:u0A:is/acknowledged, 17:u09:of/University, 10:u06:Tehran, 17:u08:of/University, @@ -85053,50 +94631,29 @@ 6:u11:sf, 6:u00:IN, 6:u01:SF, -14:u09:the/grants, 8:u0A:SF/), 6:u10:sf, 6:u00:SF, -14:u08:the/grants, 19:u09:grants/provided, -14:u07:the/grants, 19:u08:grants/provided, 16:u09:provided/for, 19:u07:grants/provided, 16:u08:provided/for, 12:u09:for/them, -14:u0A:the/grants, -8:u06:They, 16:u07:provided/for, 12:u08:for/them, 10:u09:them/., 19:u0A:grants/provided, -8:u05:They, 12:u07:for/them, 10:u08:them/., -10:u09:./They, 16:u0A:provided/for, -8:u04:They, 10:u07:them/., -10:u08:./They, -13:u09:They/also, 12:u0A:for/them, -8:u03:They, -10:u07:./They, -13:u08:They/also, 14:u09:also/would, 10:u0A:them/., -8:u23:They, -8:u33:They, -8:u02:They, -13:u07:They/also, 14:u08:also/would, -10:u0A:./They, -8:u01:They, 13:u06:sincerely, 14:u07:also/would, -13:u0A:They/also, -8:u00:They, 13:u05:sincerely, 16:u09:to/sincerely, 14:u0A:also/would, @@ -85159,21 +94716,17 @@ 7:u00:Ian, 12:u01:Thompson, 16:u08:his/valuable, -17:u09:valuable/help, 16:u0A:Thompson/for, 12:u10:thompson, 12:u00:Thompson, 16:u07:his/valuable, -17:u08:valuable/help, 18:u09:help/regarding, 10:u06:FRESCO, -17:u07:valuable/help, 18:u08:help/regarding, 16:u0A:his/valuable, 10:u05:FRESCO, 18:u07:help/regarding, 14:u09:the/FRESCO, -17:u0A:valuable/help, 10:u14:fresco, 10:u04:FRESCO, 14:u08:the/FRESCO, @@ -85184,7 +94737,6 @@ 14:u07:the/FRESCO, 15:u08:FRESCO/code, 10:u12:fresco, -6:u21:FR, 7:u22:FRE, 8:u23:FRES, 7:u32:SCO, @@ -85325,8 +94877,6 @@ 10:u13:budden, 7:u22:Nic, 8:u23:Nico, -7:u32:tte, -8:u33:ette, 13:u02:Nicolette, 10:u03:Budden, 10:u06:Stella, @@ -85409,7 +94959,6 @@ 14:u09:Wright/for, 11:u0A:and/Mrs, 13:u12:catherine, -7:u22:Cat, 8:u23:Cath, 13:u02:Catherine, 20:u07:Catherine/Wright, @@ -85663,8 +95212,6 @@ 10:u08:form/., 12:u0A:in/draft, 8:u12:form, -7:u32:orm, -8:u33:form, 8:u02:form, 10:u07:form/., 14:u0A:draft/form, @@ -85690,50 +95237,33 @@ 16:u09:./Librarians, 14:u14:librarians, 14:u04:Librarians, -6:u06:St, 16:u08:./Librarians, 17:u09:Librarians/at, 14:u13:librarians, 14:u03:Librarians, -6:u05:St, 16:u07:./Librarians, 17:u08:Librarians/at, 9:u09:at/St, 14:u12:librarians, -6:u14:st, 8:u33:ians, 14:u02:Librarians, -6:u04:St, 17:u07:Librarians/at, 9:u08:at/St, 11:u09:St/John, 16:u0A:./Librarians, 14:u11:librarians, -6:u13:st, 14:u01:Librarians, -6:u03:St, 9:u07:at/St, 11:u08:St/John, 10:u09:John/', 17:u0A:Librarians/at, 14:u10:librarians, -6:u12:st, -6:u22:St, -6:u23:St, -6:u31:St, -6:u32:St, -6:u33:St, 14:u00:Librarians, -6:u02:St, 11:u07:St/John, 10:u08:John/', 9:u0A:at/St, -6:u11:st, -6:u01:St, 10:u07:John/', 11:u0A:St/John, -6:u10:st, -6:u00:St, 10:u0A:John/', 15:u09:,/Cambridge, 15:u08:,/Cambridge, @@ -85792,13 +95322,11 @@ 11:u06:Kenneth, 15:u07:to/archival, 21:u08:archival/material, -14:u09:material/., 12:u12:archival, 8:u33:ival, 12:u02:archival, 11:u05:Kenneth, 21:u07:archival/material, -14:u08:material/., 13:u09:./Kenneth, 15:u0A:to/archival, 12:u11:archival, @@ -85806,7 +95334,6 @@ 12:u01:archival, 11:u04:Kenneth, 8:u06:left, -14:u07:material/., 13:u08:./Kenneth, 18:u09:Kenneth/Budden, 21:u0A:archival/material, @@ -85818,7 +95345,6 @@ 13:u07:./Kenneth, 18:u08:Kenneth/Budden, 15:u09:Budden/left, -14:u0A:material/., 11:u12:kenneth, 8:u14:left, 7:u22:Ken, @@ -85865,7 +95391,6 @@ 20:u13:autobiographical, 8:u00:left, 20:u03:autobiographical, -12:u06:computer, 30:u07:extensive/autobiographical, 29:u08:autobiographical/material, 15:u09:material/on, @@ -85873,7 +95398,6 @@ 20:u12:autobiographical, 8:u23:auto, 20:u02:autobiographical, -12:u05:computer, 9:u06:disks, 29:u07:autobiographical/material, 15:u08:material/on, @@ -85881,7 +95405,6 @@ 30:u0A:extensive/autobiographical, 20:u11:autobiographical, 20:u01:autobiographical, -12:u04:computer, 9:u05:disks, 15:u07:material/on, 15:u08:on/computer, @@ -85890,14 +95413,12 @@ 20:u10:autobiographical, 9:u14:disks, 20:u00:autobiographical, -12:u03:computer, 9:u04:disks, 15:u07:on/computer, 18:u08:computer/disks, 11:u09:disks/,, 15:u0A:material/on, 9:u13:disks, -12:u02:computer, 9:u03:disks, 18:u07:computer/disks, 11:u08:disks/,, @@ -85906,13 +95427,11 @@ 8:u23:disk, 7:u32:sks, 8:u33:isks, -12:u01:computer, 9:u02:disks, 11:u07:disks/,, 11:u09:which/I, 18:u0A:computer/disks, 9:u11:disks, -12:u00:computer, 9:u01:disks, 11:u08:which/I, 10:u09:I/have, @@ -86042,7 +95561,6 @@ 15:u09:Walter/Bird, 13:u0A:was/taken, 9:u11:taken, -8:u14:bird, 9:u01:taken, 8:u04:Bird, 13:u07:by/Walter, @@ -86050,14 +95568,12 @@ 12:u09:Bird/and, 12:u0A:taken/by, 9:u10:taken, -8:u13:bird, 9:u00:taken, 8:u03:Bird, 14:u06:reproduced, 15:u07:Walter/Bird, 12:u08:Bird/and, 13:u0A:by/Walter, -8:u12:bird, 7:u22:Bir, 8:u23:Bird, 8:u33:Bird, @@ -86066,14 +95582,12 @@ 12:u07:Bird/and, 17:u09:is/reproduced, 15:u0A:Walter/Bird, -8:u11:bird, 14:u14:reproduced, 8:u01:Bird, 14:u04:reproduced, 17:u08:is/reproduced, 19:u09:reproduced/with, 12:u0A:Bird/and, -8:u10:bird, 14:u13:reproduced, 8:u00:Bird, 14:u03:reproduced, @@ -86503,7 +96017,6 @@ 15:u09:K112364/and, 8:u12:otka, 11:u13:k112364, -6:u21:OT, 7:u22:OTK, 8:u23:OTKA, 6:u31:KA, @@ -86826,8 +96339,6 @@ 21:u07:thank/AstraZeneca, 19:u08:AstraZeneca/for, 15:u12:astrazeneca, -7:u22:Ast, -8:u23:Astr, 15:u02:AstraZeneca, 19:u07:AstraZeneca/for, 16:u09:providing/AZ, @@ -87391,13 +96902,9 @@ 16:u0A:subjects/who, 12:u10:subjects, 12:u00:subjects, -25:u09:acknowledge/financial, -25:u08:acknowledge/financial, 12:u06:Conselho, -25:u07:acknowledge/financial, 12:u05:Conselho, 17:u09:from/Conselho, -25:u0A:acknowledge/financial, 12:u14:conselho, 12:u04:Conselho, 17:u08:from/Conselho, @@ -87777,17 +97284,14 @@ 13:u07:the/Johns, 16:u09:Hopkins/Core, 8:u05:Flow, -13:u06:Cytometry, 16:u08:Hopkins/Core, 13:u09:Core/Flow, 13:u0A:the/Johns, 8:u04:Flow, -13:u05:Cytometry, 16:u07:Hopkins/Core, 13:u08:Core/Flow, 18:u09:Flow/Cytometry, 8:u03:Flow, -13:u04:Cytometry, 13:u07:Core/Flow, 18:u08:Flow/Cytometry, 24:u09:Cytometry/facilities, @@ -87796,24 +97300,17 @@ 8:u23:Flow, 8:u33:Flow, 8:u02:Flow, -13:u03:Cytometry, 18:u07:Flow/Cytometry, 24:u08:Cytometry/facilities, 18:u09:facilities/for, 13:u0A:Core/Flow, -6:u21:Cy, -7:u22:Cyt, -8:u23:Cyto, 8:u01:Flow, -13:u02:Cytometry, 24:u07:Cytometry/facilities, 18:u08:facilities/for, 18:u0A:Flow/Cytometry, 8:u00:Flow, -13:u01:Cytometry, 18:u07:facilities/for, 24:u0A:Cytometry/facilities, -13:u00:Cytometry, 18:u0A:facilities/for, 13:u09:with/flow, 13:u08:with/flow, @@ -87951,7 +97448,6 @@ 6:u12:di, 6:u22:di, 6:u23:di, -6:u31:di, 6:u32:di, 6:u33:di, 6:u00:Mi, @@ -88021,8 +97517,6 @@ 14:u11:fondazione, 9:u12:cassa, 13:u14:risparmio, -7:u22:Cas, -8:u23:Cass, 7:u32:ssa, 8:u33:assa, 14:u01:Fondazione, @@ -88282,7 +97776,6 @@ 7:u10:fao, 10:u12:swalim, 8:u23:SWAL, -6:u31:IM, 7:u32:LIM, 8:u33:ALIM, 7:u00:FAO, @@ -88347,26 +97840,6 @@ 18:u0A:campaign/would, 12:u10:campaign, 12:u00:campaign, -11:u06:Finally, -11:u05:Finally, -13:u09:./Finally, -11:u14:finally, -11:u04:Finally, -13:u08:./Finally, -13:u09:Finally/,, -11:u13:finally, -11:u03:Finally, -13:u07:./Finally, -13:u08:Finally/,, -11:u12:finally, -11:u02:Finally, -13:u07:Finally/,, -13:u0A:./Finally, -11:u11:finally, -11:u01:Finally, -13:u0A:Finally/,, -11:u10:finally, -11:u00:Finally, 11:u06:Roberto, 11:u05:Roberto, 11:u06:Colombo, @@ -88446,22 +97919,18 @@ 16:u03:spectroscopy, 22:u07:field/spectroscopy, 26:u08:spectroscopy/equipment, -18:u09:equipment/used, 16:u12:spectroscopy, 6:u31:py, 7:u32:opy, 8:u33:copy, 16:u02:spectroscopy, 26:u07:spectroscopy/equipment, -18:u08:equipment/used, 22:u0A:field/spectroscopy, 16:u11:spectroscopy, 16:u01:spectroscopy, -18:u07:equipment/used, 26:u0A:spectroscopy/equipment, 16:u10:spectroscopy, 16:u00:spectroscopy, -18:u0A:equipment/used, 14:u09:campaign/., 14:u08:campaign/., 14:u07:campaign/., @@ -88538,7 +98007,6 @@ 10:u11:wouter, 12:u12:verhesen, 9:u14:kevin, -7:u22:Ver, 8:u23:Verh, 8:u33:esen, 10:u01:Wouter, @@ -88870,10 +98338,6 @@ 11:u0A:VOK/was, 7:u10:vok, 7:u00:VOK, -16:u09:a/fellowship, -16:u08:a/fellowship, -16:u07:a/fellowship, -16:u0A:a/fellowship, 21:u09:Swedish/Institute, 21:u08:Swedish/Institute, 21:u07:Swedish/Institute, @@ -88929,7 +98393,6 @@ 10:u12:wenner, 8:u14:gren, 8:u23:Wenn, -8:u33:nner, 10:u02:Wenner, 8:u04:Gren, 12:u07:Wenner/-, @@ -89435,8 +98898,6 @@ 16:u09:with/corners, 8:u0A:in/a, 11:u14:corners, -7:u22:dom, -8:u23:doma, 10:u02:domain, 11:u04:corners, 15:u07:domain/with, @@ -89600,19 +99061,15 @@ 11:u03:Lafarge, 21:u07:Christian/Lafarge, 15:u08:Lafarge/for, -14:u09:for/animal, 16:u0A:to/Christian, 11:u12:lafarge, -7:u22:Laf, 8:u23:Lafa, 11:u02:Lafarge, 15:u07:Lafarge/for, -14:u08:for/animal, 21:u0A:Christian/Lafarge, 11:u11:lafarge, 11:u01:Lafarge, 8:u06:Anne, -14:u07:for/animal, 12:u09:care/and, 15:u0A:Lafarge/for, 11:u10:lafarge, @@ -89621,7 +99078,6 @@ 8:u06:Diot, 12:u08:care/and, 12:u09:and/Anne, -14:u0A:for/animal, 8:u14:anne, 8:u04:Anne, 8:u05:Diot, @@ -89738,7 +99194,6 @@ 18:u0A:tissue/protein, 13:u12:synthesis, 17:u13:determination, -7:u22:syn, 8:u23:synt, 8:u33:esis, 11:u01:protein, @@ -89892,15 +99347,11 @@ 13:u00:Slovenian, 14:u09:and/France, 14:u08:and/France, -12:u09:France/(, 14:u07:and/France, -12:u08:France/(, -12:u07:France/(, 19:u09:French/Research, 14:u0A:and/France, 19:u08:French/Research, 21:u09:Research/Ministry, -12:u0A:France/(, 19:u07:French/Research, 21:u08:Research/Ministry, 14:u09:Ministry/), @@ -89982,41 +99433,25 @@ 12:u07:,/tissue, 19:u08:tissue/sampling, 14:u09:sampling/,, -14:u06:processing, 19:u07:tissue/sampling, 14:u08:sampling/,, 12:u0A:,/tissue, -14:u05:processing, 14:u07:sampling/,, -19:u09:data/processing, 19:u0A:tissue/sampling, -14:u14:processing, -14:u04:processing, -19:u08:data/processing, 16:u09:processing/,, 14:u0A:sampling/,, -14:u13:processing, -14:u03:processing, -19:u07:data/processing, 16:u08:processing/,, 14:u09:,/drafting, -14:u12:processing, -14:u02:processing, 12:u06:revision, 16:u07:processing/,, 14:u08:,/drafting, 16:u09:drafting/and, -19:u0A:data/processing, -14:u11:processing, -14:u01:processing, 12:u05:revision, 14:u07:,/drafting, 16:u08:drafting/and, 16:u09:and/revision, 16:u0A:processing/,, -14:u10:processing, 12:u14:revision, -14:u00:processing, 12:u04:revision, 16:u07:drafting/and, 16:u08:and/revision, @@ -90243,16 +99678,12 @@ 11:u11:soybean, 11:u01:Soybean, 13:u07:Project/,, -17:u09:for/financial, 19:u0A:Soybean/Project, 11:u10:soybean, 11:u00:Soybean, -17:u08:for/financial, 13:u0A:Project/,, -17:u07:for/financial, 17:u09:assistance/to, 17:u08:assistance/to, -17:u0A:for/financial, 17:u07:assistance/to, 19:u09:this/experiment, 17:u0A:assistance/to, @@ -90307,7 +99738,6 @@ 6:u21:RM, 6:u22:RM, 6:u23:RM, -6:u31:RM, 6:u32:RM, 6:u33:RM, 6:u02:RM, @@ -90929,7 +100359,6 @@ 12:u12:30873353, 7:u22:308, 8:u23:3087, -6:u31:53, 7:u32:353, 8:u33:3353, 12:u00:30672742, @@ -91056,43 +100485,27 @@ 11:u0A:-/first, 13:u07:authors/., 17:u0A:first/authors, -11:u06:Imaging, -11:u05:Imaging, 22:u09:Biomedical/Imaging, -11:u14:imaging, -11:u04:Imaging, 18:u06:Bioengineering, 22:u08:Biomedical/Imaging, -15:u09:Imaging/and, -11:u13:imaging, -11:u03:Imaging, 18:u05:Bioengineering, 22:u07:Biomedical/Imaging, -15:u08:Imaging/and, 22:u09:and/Bioengineering, -11:u12:imaging, 18:u14:bioengineering, -11:u02:Imaging, 18:u04:Bioengineering, 9:u06:NIBIB, -15:u07:Imaging/and, 22:u08:and/Bioengineering, 20:u09:Bioengineering/(, 22:u0A:Biomedical/Imaging, -11:u11:imaging, 18:u13:bioengineering, -11:u01:Imaging, 18:u03:Bioengineering, 9:u05:NIBIB, 22:u07:and/Bioengineering, 20:u08:Bioengineering/(, 11:u09:(/NIBIB, -15:u0A:Imaging/and, -11:u10:imaging, 18:u12:bioengineering, 9:u14:nibib, 8:u23:Bioe, -11:u00:Imaging, 18:u02:Bioengineering, 9:u04:NIBIB, 20:u07:Bioengineering/(, @@ -91217,7 +100630,6 @@ 16:u0A:Recovery/and, 16:u12:reinvestment, 7:u13:act, -7:u22:Rei, 8:u23:Rein, 16:u02:Reinvestment, 7:u03:Act, @@ -91325,8 +100737,6 @@ 19:u0A:practitioners/,, 17:u10:practitioners, 12:u14:midwives, -7:u22:hos, -8:u23:hosp, 17:u00:practitioners, 13:u02:hospitals, 12:u04:midwives, @@ -91486,7 +100896,6 @@ 17:u0A:estimation/of, 14:u10:estimation, 11:u12:current, -8:u33:rent, 14:u00:estimation, 11:u02:current, 9:u05:Views, @@ -92126,7 +101535,6 @@ 8:u12:text, 7:u22:tex, 8:u23:text, -8:u33:text, 11:u01:English, 8:u02:text, 12:u07:text/and, @@ -92149,17 +101557,13 @@ 11:u08:by/_x+1, 16:u07:_x-1/Special, 18:u08:Special/thanks, -13:u09:thanks/to, 18:u07:Special/thanks, -13:u08:thanks/to, 16:u0A:_x-1/Special, 7:u06:Wil, -13:u07:thanks/to, 18:u0A:Special/thanks, 7:u05:Wil, 12:u06:Linkugel, 9:u09:./Wil, -13:u0A:thanks/to, 7:u14:wil, 7:u04:Wil, 12:u05:Linkugel, @@ -92539,7 +101943,6 @@ 10:u12:shinya, 8:u13:wada, 8:u23:Shin, -7:u32:nya, 8:u33:inya, 10:u02:Shinya, 8:u03:Wada, @@ -92804,31 +102207,26 @@ 13:u09:the/array, 12:u0A:./Watson, 10:u11:watson, -9:u14:array, 10:u01:Watson, 9:u04:array, 13:u08:the/array, 21:u09:array/disposition, 14:u0A:Watson/for, 10:u10:watson, -9:u13:array, 10:u00:Watson, 9:u03:array, 13:u07:the/array, 21:u08:array/disposition, -9:u12:array, 7:u22:arr, 8:u23:arra, 9:u02:array, 21:u07:array/disposition, 19:u09:and/maintenance, 13:u0A:the/array, -9:u11:array, 9:u01:array, 19:u08:and/maintenance, 17:u09:maintenance/,, 21:u0A:array/disposition, -9:u10:array, 9:u00:array, 19:u07:and/maintenance, 17:u08:maintenance/,, @@ -93011,7 +102409,6 @@ 15:u07:the/Palermo, 17:u08:Palermo/group, 11:u12:palermo, -7:u22:Pal, 8:u23:Pale, 11:u02:Palermo, 17:u07:Palermo/group, @@ -93101,7 +102498,6 @@ 14:u12:operations, 7:u01:RPC, 14:u02:operations, -10:u06:thanks, 16:u07:operations/., 16:u09:A/particular, 18:u0A:RPC/operations, @@ -93176,7 +102572,6 @@ 14:u14:installing, 17:u01:indispensable, 14:u04:installing, -11:u06:running, 17:u08:in/installing, 18:u09:installing/and, 22:u0A:indispensable/help, @@ -93184,50 +102579,38 @@ 14:u13:installing, 17:u00:indispensable, 14:u03:installing, -11:u05:running, 11:u06:CORSIKA, 17:u07:in/installing, 18:u08:installing/and, 15:u09:and/running, 14:u12:installing, -11:u14:running, 14:u02:installing, -11:u04:running, 11:u05:CORSIKA, 18:u07:installing/and, 15:u08:and/running, 19:u09:running/CORSIKA, 17:u0A:in/installing, 14:u11:installing, -11:u13:running, 11:u14:corsika, 14:u01:installing, -11:u03:running, 11:u04:CORSIKA, 15:u07:and/running, 19:u08:running/CORSIKA, 13:u09:CORSIKA/4, 18:u0A:installing/and, 14:u10:installing, -11:u12:running, 11:u13:corsika, -6:u21:ru, -7:u22:run, -8:u23:runn, 14:u00:installing, -11:u02:running, 11:u03:CORSIKA, 6:u06:50, 19:u07:running/CORSIKA, 13:u08:CORSIKA/4, 7:u09:4/., 15:u0A:and/running, -11:u11:running, 11:u12:corsika, 8:u23:CORS, 7:u32:IKA, 8:u33:SIKA, -11:u01:running, 11:u02:CORSIKA, 6:u05:50, 9:u06:Monte, @@ -93235,10 +102618,8 @@ 7:u08:4/., 8:u09:./50, 19:u0A:running/CORSIKA, -11:u10:running, 11:u11:corsika, 6:u14:50, -11:u00:running, 11:u01:CORSIKA, 6:u04:50, 9:u05:Monte, @@ -93496,7 +102877,6 @@ 14:u09:Wagner/for, 6:u12:gp, 10:u13:wagner, -6:u21:GP, 6:u22:GP, 6:u23:GP, 6:u31:GP, @@ -93635,7 +103015,6 @@ 12:u0A:model/of, 9:u12:phage, 8:u23:phag, -8:u33:hage, 9:u02:phage, 14:u07:phage/loss, 10:u08:loss/., @@ -93772,51 +103151,33 @@ 7:u14:128, 8:u00:2221, 7:u04:128, -7:u06:005, 7:u07:E/-, 9:u08:-/128, 9:u09:128/-, 7:u13:128, 7:u03:128, -7:u05:005, 9:u07:-/128, 9:u08:128/-, -9:u09:-/005, 7:u0A:E/-, 7:u12:128, -7:u14:005, 7:u22:128, 7:u23:128, 7:u32:128, 7:u33:128, 7:u02:128, -7:u04:005, 9:u07:128/-, -9:u08:-/005, 9:u09:005/-, 9:u0A:-/128, 7:u11:128, -7:u13:005, 7:u01:128, -7:u03:005, -9:u07:-/005, 9:u08:005/-, 9:u0A:128/-, 7:u10:128, -7:u12:005, -7:u23:005, -7:u33:005, 7:u00:128, -7:u02:005, 9:u07:005/-, 9:u09:MY3/., -9:u0A:-/005, -7:u11:005, -7:u01:005, 9:u08:MY3/., 9:u0A:005/-, -7:u10:005, -7:u00:005, 9:u07:MY3/., 9:u0A:MY3/., 9:u06:Horng, @@ -93973,7 +103334,6 @@ 8:u12:shih, 8:u14:hsin, 8:u23:Shih, -6:u31:ih, 7:u32:hih, 8:u33:Shih, 6:u00:Wu, @@ -94085,45 +103445,32 @@ 26:u09:Collaborative/Research, 26:u07:National/Collaborative, 26:u08:Collaborative/Research, -27:u09:Research/Infrastructure, 9:u06:NCRIS, 26:u07:Collaborative/Research, -27:u08:Research/Infrastructure, -20:u09:Infrastructure/(, 26:u0A:National/Collaborative, 9:u05:NCRIS, -27:u07:Research/Infrastructure, -20:u08:Infrastructure/(, 11:u09:(/NCRIS, 26:u0A:Collaborative/Research, 9:u14:ncris, 9:u04:NCRIS, -20:u07:Infrastructure/(, 11:u08:(/NCRIS, 11:u09:NCRIS/), -27:u0A:Research/Infrastructure, 9:u13:ncris, 9:u03:NCRIS, 11:u07:(/NCRIS, 11:u08:NCRIS/), -20:u0A:Infrastructure/(, 9:u12:ncris, 8:u23:NCRI, -7:u32:RIS, 8:u33:CRIS, 9:u02:NCRIS, 11:u07:NCRIS/), -16:u09:of/Australia, 11:u0A:(/NCRIS, 9:u11:ncris, 9:u01:NCRIS, -16:u08:of/Australia, 11:u0A:NCRIS/), 9:u10:ncris, 9:u00:NCRIS, -16:u07:of/Australia, 20:u09:providing/access, -16:u0A:of/Australia, 18:u06:bioinformatics, 20:u08:providing/access, 18:u05:bioinformatics, @@ -94322,17 +103669,14 @@ 9:u06:Louis, 17:u07:University/in, 9:u08:in/St, -8:u09:St/., 25:u0A:Washington/University, 9:u05:Louis, 9:u07:in/St, -8:u08:St/., 11:u09:./Louis, 17:u0A:University/in, 9:u14:louis, 9:u04:Louis, 12:u06:Missouri, -8:u07:St/., 11:u08:./Louis, 11:u09:Louis/,, 9:u0A:in/St, @@ -94342,7 +103686,6 @@ 11:u07:./Louis, 11:u08:Louis/,, 14:u09:,/Missouri, -8:u0A:St/., 9:u12:louis, 12:u14:missouri, 8:u23:Loui, @@ -94423,30 +103766,18 @@ 16:u0A:2001656847/), 14:u10:2001656847, 14:u00:2001656847, -16:u06:participants, -16:u05:participants, 22:u09:study/participants, -16:u14:participants, -16:u04:participants, 22:u08:study/participants, 20:u09:participants/for, -16:u13:participants, -16:u03:participants, 22:u07:study/participants, 20:u08:participants/for, -16:u12:participants, -16:u02:participants, 20:u07:participants/for, 21:u09:their/cooperation, 22:u0A:study/participants, -16:u11:participants, -16:u01:participants, 10:u06:Leslie, 21:u08:their/cooperation, 19:u09:cooperation/and, 20:u0A:participants/for, -16:u10:participants, -16:u00:participants, 10:u05:Leslie, 10:u06:Duling, 21:u07:their/cooperation, @@ -94553,12 +103884,8 @@ 18:u0A:coordination/,, 16:u10:coordination, 16:u00:coordination, -12:u09:and/data, -12:u08:and/data, -12:u07:and/data, 16:u09:management/., 16:u08:management/., -12:u0A:and/data, 16:u07:management/., 10:u06:Solvay, 10:u05:Solvay, @@ -94628,7 +103955,6 @@ 17:u07:and/specimens, 15:u08:specimens/., 13:u12:specimens, -7:u32:ens, 8:u33:mens, 13:u02:specimens, 15:u07:specimens/., @@ -94845,18 +104171,14 @@ 8:u01:Oseo, 10:u0A:Oseo/), 8:u10:oseo, -13:u09:to/thanks, -13:u08:to/thanks, 14:u09:thanks/all, 18:u06:administrators, -13:u07:to/thanks, 14:u08:thanks/all, 13:u09:all/those, 18:u05:administrators, 14:u07:thanks/all, 13:u08:all/those, 24:u09:those/administrators, -13:u0A:to/thanks, 18:u14:administrators, 18:u04:administrators, 13:u07:all/those, @@ -94950,8 +104272,6 @@ 6:u21:je, 7:u22:jeu, 8:u23:jeun, -7:u32:sse, -8:u33:esse, 12:u02:jeunesse, 13:u04:Montréal, 17:u06:Universitaire, @@ -95194,15 +104514,12 @@ 26:u0A:Australian/Partnership, 8:u06:APAC, 22:u08:Advanced/Computing, -15:u09:Computing/(, 19:u0A:Partnership/for, 8:u05:APAC, 22:u07:Advanced/Computing, -15:u08:Computing/(, 10:u09:(/APAC, 8:u14:apac, 8:u04:APAC, -15:u07:Computing/(, 10:u08:(/APAC, 10:u09:APAC/), 22:u0A:Advanced/Computing, @@ -95210,7 +104527,6 @@ 8:u03:APAC, 10:u07:(/APAC, 10:u08:APAC/), -15:u0A:Computing/(, 8:u12:apac, 7:u22:APA, 8:u23:APAC, @@ -95241,15 +104557,12 @@ 11:u06:enabled, 22:u07:supercomputer/time, 14:u08:time/which, -14:u09:which/have, 11:u05:enabled, 14:u07:time/which, -14:u08:which/have, 16:u09:have/enabled, 22:u0A:supercomputer/time, 11:u14:enabled, 11:u04:enabled, -14:u07:which/have, 16:u08:have/enabled, 16:u09:enabled/this, 14:u0A:time/which, @@ -95257,7 +104570,6 @@ 11:u03:enabled, 16:u07:have/enabled, 16:u08:enabled/this, -14:u0A:which/have, 11:u12:enabled, 7:u22:ena, 8:u23:enab, @@ -95298,27 +104610,19 @@ 11:u0A:(/SAPAC, 9:u11:sapac, 9:u01:SAPAC, -12:u06:Facility, 11:u0A:SAPAC/), 9:u10:sapac, 9:u00:SAPAC, -12:u05:Facility, 21:u09:National/Facility, -12:u14:facility, -12:u04:Facility, 11:u06:Lattice, 21:u08:National/Facility, 16:u09:Facility/for, -12:u13:facility, -12:u03:Facility, 11:u05:Lattice, 9:u06:Gauge, 21:u07:National/Facility, 16:u08:Facility/for, 15:u09:for/Lattice, -12:u12:facility, 11:u14:lattice, -12:u02:Facility, 11:u04:Lattice, 9:u05:Gauge, 10:u06:Theory, @@ -95326,10 +104630,8 @@ 15:u08:for/Lattice, 17:u09:Lattice/Gauge, 21:u0A:National/Facility, -12:u11:facility, 11:u13:lattice, 9:u14:gauge, -12:u01:Facility, 11:u03:Lattice, 9:u04:Gauge, 10:u05:Theory, @@ -95337,12 +104639,10 @@ 17:u08:Lattice/Gauge, 16:u09:Gauge/Theory, 16:u0A:Facility/for, -12:u10:facility, 11:u12:lattice, 9:u13:gauge, 10:u14:theory, 8:u23:Latt, -12:u00:Facility, 11:u02:Lattice, 9:u03:Gauge, 10:u04:Theory, @@ -95362,7 +104662,6 @@ 10:u03:Theory, 16:u07:Gauge/Theory, 13:u08:Theory/is, -11:u09:is/also, 17:u0A:Lattice/Gauge, 11:u10:lattice, 9:u11:gauge, @@ -95372,18 +104671,15 @@ 9:u01:Gauge, 10:u02:Theory, 13:u07:Theory/is, -11:u08:is/also, 16:u0A:Gauge/Theory, 9:u10:gauge, 10:u11:theory, 9:u00:Gauge, 10:u01:Theory, -11:u07:is/also, 13:u0A:Theory/is, 10:u10:theory, 10:u00:Theory, 7:u06:DBL, -11:u0A:is/also, 7:u05:DBL, 9:u09:./DBL, 7:u14:dbl, @@ -95486,7 +104782,6 @@ 13:u0A:where/the, 9:u10:where, 12:u12:majority, -7:u22:maj, 8:u23:majo, 9:u00:where, 12:u02:majority, @@ -95665,7 +104960,6 @@ 9:u00:Kelli, 15:u01:Hellenbrand, 15:u04:Pladziewicz, -11:u06:helping, 12:u07:and/Sara, 20:u08:Sara/Pladziewicz, 19:u09:Pladziewicz/for, @@ -95674,57 +104968,42 @@ 15:u13:pladziewicz, 15:u00:Hellenbrand, 15:u03:Pladziewicz, -11:u05:helping, 20:u07:Sara/Pladziewicz, 19:u08:Pladziewicz/for, -15:u09:for/helping, 12:u0A:and/Sara, 15:u12:pladziewicz, -11:u14:helping, 8:u23:Plad, 15:u02:Pladziewicz, -11:u04:helping, 13:u06:volunteer, 19:u07:Pladziewicz/for, -15:u08:for/helping, 15:u09:helping/the, 20:u0A:Sara/Pladziewicz, 15:u11:pladziewicz, -11:u13:helping, 15:u01:Pladziewicz, -11:u03:helping, 13:u05:volunteer, 9:u06:scans, -15:u07:for/helping, 15:u08:helping/the, 17:u09:the/volunteer, 19:u0A:Pladziewicz/for, 15:u10:pladziewicz, -11:u12:helping, 13:u14:volunteer, 15:u00:Pladziewicz, -11:u02:helping, 13:u04:volunteer, 9:u05:scans, 15:u07:helping/the, 17:u08:the/volunteer, 19:u09:volunteer/scans, -15:u0A:for/helping, -11:u11:helping, 13:u13:volunteer, 9:u14:scans, -11:u01:helping, 13:u03:volunteer, 9:u04:scans, 17:u07:the/volunteer, 19:u08:volunteer/scans, 11:u09:scans/., 15:u0A:helping/the, -11:u10:helping, 13:u12:volunteer, 9:u13:scans, 8:u33:teer, -11:u00:helping, 13:u02:volunteer, 9:u03:scans, 12:u06:sponsors, @@ -95733,8 +105012,6 @@ 17:u0A:the/volunteer, 13:u11:volunteer, 9:u12:scans, -7:u22:sca, -8:u23:scan, 8:u33:cans, 13:u01:volunteer, 9:u02:scans, @@ -96050,7 +105327,6 @@ 10:u10:harpak, 9:u12:molly, 14:u13:przeworski, -7:u22:Mol, 8:u23:Moll, 8:u33:olly, 10:u00:Harpak, @@ -96160,40 +105436,14 @@ 10:u00:Scally, 18:u08:and/discussion, 16:u09:discussion/,, -8:u06:well, 18:u07:and/discussion, 16:u08:discussion/,, -8:u09:,/as, -8:u05:well, 16:u07:discussion/,, -8:u08:,/as, -11:u09:as/well, 18:u0A:and/discussion, -8:u14:well, -8:u04:well, -8:u07:,/as, -11:u08:as/well, -11:u09:well/as, 16:u0A:discussion/,, -8:u13:well, -8:u03:well, -11:u07:as/well, -11:u08:well/as, 10:u09:as/two, -8:u0A:,/as, -8:u12:well, -7:u22:wel, -8:u23:well, -8:u02:well, -11:u07:well/as, 10:u08:as/two, -11:u0A:as/well, -8:u11:well, -8:u01:well, 10:u07:as/two, -11:u0A:well/as, -8:u10:well, -8:u00:well, 10:u0A:as/two, 15:u0A:reviewers/., 10:u04:Leiden, @@ -96392,7 +105642,6 @@ 13:u07:the/terms, 12:u08:terms/of, 9:u12:terms, -7:u32:rms, 8:u33:erms, 9:u02:terms, 12:u05:Creative, @@ -96763,12 +106012,8 @@ 13:u00:Guangzhou, 10:u09:(/2013, 10:u08:(/2013, -10:u09:2013/), 10:u07:(/2013, -10:u08:2013/), -10:u07:2013/), 10:u0A:(/2013, -10:u0A:2013/), 10:u09:(/2015, 10:u08:(/2015, 10:u09:2015/), @@ -97077,8 +106322,6 @@ 11:u08:Gaete/,, 7:u0A:,/E, 9:u12:gaete, -7:u22:Gae, -8:u23:Gaet, 8:u33:aete, 9:u02:Gaete, 14:u05:Montenegro, @@ -97555,16 +106798,12 @@ 17:u0A:perform/these, 11:u10:perform, 11:u00:perform, -17:u09:discussions/,, -17:u08:discussions/,, 7:u09:,/G, 11:u06:Seabold, -17:u07:discussions/,, 7:u08:,/G, 11:u05:Seabold, 7:u07:,/G, 13:u09:./Seabold, -17:u0A:discussions/,, 11:u14:seabold, 11:u04:Seabold, 13:u08:./Seabold, @@ -97857,7 +107096,6 @@ 14:u09:Zelditch/(, 10:u12:miriam, 12:u13:zelditch, -7:u22:Mir, 8:u23:Miri, 8:u33:riam, 10:u02:Miriam, @@ -98146,40 +107384,22 @@ 17:u0A:Michel/Laurin, 10:u11:laurin, 10:u01:Laurin, -9:u06:Paris, 14:u07:(/Sorbonne, 25:u08:Sorbonne/Universités, 18:u09:Universités/,, 12:u0A:Laurin/(, 10:u10:laurin, 10:u00:Laurin, -9:u05:Paris, 25:u07:Sorbonne/Universités, 18:u08:Universités/,, -11:u09:,/Paris, 14:u0A:(/Sorbonne, -9:u14:paris, -9:u04:Paris, 18:u07:Universités/,, -11:u08:,/Paris, 11:u09:Paris/), 25:u0A:Sorbonne/Universités, -9:u13:paris, -9:u03:Paris, -11:u07:,/Paris, 11:u08:Paris/), 18:u0A:Universités/,, -9:u12:paris, -8:u23:Pari, -8:u33:aris, -9:u02:Paris, 11:u07:Paris/), -11:u0A:,/Paris, -9:u11:paris, -9:u01:Paris, 11:u0A:Paris/), -9:u10:paris, -9:u00:Paris, 11:u06:further, 11:u05:further, 14:u09:We/further, @@ -98219,7 +107439,6 @@ 11:u10:further, 11:u12:matthew, 11:u13:lamanna, -8:u23:Matt, 8:u33:thew, 11:u00:further, 11:u02:Matthew, @@ -98331,7 +107550,6 @@ 11:u09:Downs/(, 8:u12:alex, 9:u13:downs, -8:u23:Alex, 8:u33:Alex, 8:u02:Alex, 9:u03:Downs, @@ -99727,23 +108945,19 @@ 22:u0A:equipment/provided, 8:u14:ibch, 8:u04:IBCH, -12:u06:facility, 12:u08:the/IBCH, 13:u09:IBCH/core, 8:u13:ibch, 8:u03:IBCH, -12:u05:facility, 12:u07:the/IBCH, 13:u08:IBCH/core, 17:u09:core/facility, 8:u12:ibch, 7:u22:IBC, 8:u23:IBCH, -6:u31:CH, 7:u32:BCH, 8:u33:IBCH, 8:u02:IBCH, -12:u04:facility, 7:u06:CKP, 13:u07:IBCH/core, 17:u08:core/facility, @@ -99751,7 +108965,6 @@ 12:u0A:the/IBCH, 8:u11:ibch, 8:u01:IBCH, -12:u03:facility, 7:u05:CKP, 17:u07:core/facility, 14:u08:facility/(, @@ -99760,14 +108973,12 @@ 8:u10:ibch, 7:u14:ckp, 8:u00:IBCH, -12:u02:facility, 7:u04:CKP, 14:u07:facility/(, 9:u08:(/CKP, 12:u09:CKP/IBCH, 17:u0A:core/facility, 7:u13:ckp, -12:u01:facility, 7:u03:CKP, 9:u07:(/CKP, 12:u08:CKP/IBCH, @@ -99780,7 +108991,6 @@ 6:u31:KP, 7:u32:CKP, 7:u33:CKP, -12:u00:facility, 7:u02:CKP, 15:u06:Diffraction, 12:u07:CKP/IBCH, @@ -99817,31 +109027,17 @@ 27:u0A:Diffraction/experiments, 15:u10:diffraction, 15:u00:Diffraction, -8:u06:beam, 10:u09:out/on, 20:u0A:experiments/were, -8:u05:beam, 10:u08:out/on, 11:u09:on/beam, -8:u14:beam, -8:u04:beam, 10:u07:out/on, 11:u08:on/beam, -10:u09:beam/-, -8:u13:beam, -8:u03:beam, 11:u07:on/beam, -10:u08:beam/-, 10:u09:-/_x+1, 10:u0A:out/on, -8:u12:beam, -7:u32:eam, -8:u33:beam, -8:u02:beam, -10:u07:beam/-, 10:u08:-/_x+1, 11:u0A:on/beam, -8:u11:beam, 11:u06:ACCLAIM, 11:u05:ACCLAIM, 15:u09:the/ACCLAIM, @@ -99905,7 +109101,6 @@ 8:u10:copd, 17:u12:investigators, 11:u14:covance, -8:u23:inve, 8:u00:COPD, 17:u02:investigators, 11:u04:Covance, @@ -100348,7 +109543,6 @@ 9:u0A:GSK/., 7:u10:gsk, 13:u14:consulted, -7:u22:SIR, 7:u23:SIR, 7:u32:SIR, 7:u33:SIR, @@ -101493,43 +110687,22 @@ 17:u00:Sensenbrenner, 16:u07:his/critical, 16:u0A:his/critical, -11:u06:KAKENHI, 11:u09:by/JSPS, -11:u05:KAKENHI, 11:u08:by/JSPS, 16:u09:JSPS/KAKENHI, -11:u14:kakenhi, -11:u04:KAKENHI, 11:u07:by/JSPS, 16:u08:JSPS/KAKENHI, -17:u09:KAKENHI/Grant, -11:u13:kakenhi, -11:u03:KAKENHI, 12:u06:23500211, 16:u07:JSPS/KAKENHI, -17:u08:KAKENHI/Grant, 11:u0A:by/JSPS, -11:u12:kakenhi, -6:u21:KA, -7:u22:KAK, -8:u23:KAKE, -7:u32:NHI, -8:u33:ENHI, -11:u02:KAKENHI, 12:u05:23500211, -17:u07:KAKENHI/Grant, 19:u09:Number/23500211, 16:u0A:JSPS/KAKENHI, -11:u11:kakenhi, 12:u14:23500211, -11:u01:KAKENHI, 12:u04:23500211, 19:u08:Number/23500211, 14:u09:23500211/., -17:u0A:KAKENHI/Grant, -11:u10:kakenhi, 12:u13:23500211, -11:u00:KAKENHI, 12:u03:23500211, 19:u07:Number/23500211, 14:u08:23500211/., @@ -101812,7 +110985,6 @@ 10:u12:sobral, 7:u22:Sob, 8:u23:Sobr, -8:u33:bral, 10:u02:Sobral, 12:u06:Weinmann, 12:u07:Sobral/,, @@ -101850,14 +111022,10 @@ 12:u00:Weinmann, 22:u07:useful/discussions, 22:u0A:useful/discussions, -23:u09:acknowledge/funding, -23:u08:acknowledge/funding, -23:u07:acknowledge/funding, 12:u09:from/ERC, 9:u06:HIGHZ, 12:u08:from/ERC, 13:u09:ERC/grant, -23:u0A:acknowledge/funding, 9:u05:HIGHZ, 12:u07:from/ERC, 13:u08:ERC/grant, @@ -103159,7 +112327,6 @@ 11:u01:Maslova, 8:u03:Yuri, 14:u04:Petrunenko, -13:u06:Alexander, 10:u07:,/Yuri, 19:u08:Yuri/Petrunenko, 18:u09:Petrunenko/and, @@ -103173,7 +112340,6 @@ 11:u00:Maslova, 8:u02:Yuri, 14:u03:Petrunenko, -13:u05:Alexander, 13:u06:Nikanorov, 19:u07:Yuri/Petrunenko, 18:u08:Petrunenko/and, @@ -103181,10 +112347,8 @@ 10:u0A:,/Yuri, 8:u11:yuri, 14:u12:petrunenko, -13:u14:alexander, 8:u01:Yuri, 14:u02:Petrunenko, -13:u04:Alexander, 13:u05:Nikanorov, 18:u07:Petrunenko/and, 17:u08:and/Alexander, @@ -103192,38 +112356,30 @@ 19:u0A:Yuri/Petrunenko, 8:u10:yuri, 14:u11:petrunenko, -13:u13:alexander, 13:u14:nikanorov, 8:u00:Yuri, 14:u01:Petrunenko, -13:u03:Alexander, 13:u04:Nikanorov, 17:u07:and/Alexander, 23:u08:Alexander/Nikanorov, 17:u09:Nikanorov/for, 18:u0A:Petrunenko/and, 14:u10:petrunenko, -13:u12:alexander, 13:u13:nikanorov, 14:u00:Petrunenko, -13:u02:Alexander, 13:u03:Nikanorov, 23:u07:Alexander/Nikanorov, 17:u08:Nikanorov/for, 17:u0A:and/Alexander, -13:u11:alexander, 13:u12:nikanorov, 7:u22:Nik, 8:u23:Nika, 7:u32:rov, 8:u33:orov, -13:u01:Alexander, 13:u02:Nikanorov, 17:u07:Nikanorov/for, 23:u0A:Alexander/Nikanorov, -13:u10:alexander, 13:u11:nikanorov, -13:u00:Alexander, 13:u01:Nikanorov, 17:u09:comments/_x+1, 17:u0A:Nikanorov/for, @@ -103441,14 +112597,10 @@ 18:u09:technical/help, 20:u07:useful/technical, 18:u08:technical/help, -10:u09:help/,, 18:u07:technical/help, -10:u08:help/,, 20:u0A:useful/technical, -10:u07:help/,, 18:u0A:technical/help, 10:u06:Palomo, -10:u0A:help/,, 10:u05:Palomo, 12:u09:./Palomo, 10:u14:palomo, @@ -103563,15 +112715,11 @@ 8:u10:life, 8:u00:Life, 16:u08:the/Graduate, -19:u09:Graduate/School, 16:u07:the/Graduate, -19:u08:Graduate/School, 12:u09:School/,, -19:u07:Graduate/School, 12:u08:School/,, 16:u0A:the/Graduate, 12:u07:School/,, -19:u0A:Graduate/School, 12:u0A:School/,, 6:u06:GM, 6:u05:GM, @@ -103853,14 +113001,10 @@ 13:u10:president, 13:u00:President, 12:u07:s/Office, -15:u09:of/Research, -15:u08:of/Research, 12:u0A:s/Office, -15:u07:of/Research, 16:u09:and/Graduate, 16:u08:and/Graduate, 20:u09:Graduate/Studies, -15:u0A:of/Research, 11:u06:Authors, 16:u07:and/Graduate, 20:u08:Graduate/Studies, @@ -104395,7 +113539,6 @@ 14:u09:McGregor/,, 10:u12:martha, 12:u13:mcgregor, -7:u32:tha, 8:u33:rtha, 10:u02:Martha, 12:u03:McGregor, @@ -105148,7 +114291,6 @@ 6:u14:rv, 7:u22:cop, 8:u23:copi, -8:u33:pies, 10:u00:length, 8:u01:cDNA, 10:u02:copies, @@ -105371,8 +114513,6 @@ 11:u0A:group/C, 13:u12:rotavirus, 8:u13:nsp2, -7:u22:rot, -8:u23:rota, 13:u02:rotavirus, 8:u03:NSP2, 18:u07:rotavirus/NSP2, @@ -105989,9 +115129,6 @@ 12:u10:macaulay, 10:u12:volker, 10:u13:mahnke, -6:u21:Vo, -7:u22:Vol, -8:u23:Volk, 12:u00:MacAulay, 10:u02:Volker, 10:u03:Mahnke, @@ -106362,10 +115499,6 @@ 11:u0A:Japan/,, 14:u07:and/Grants, 14:u0A:and/Grants, -17:u09:Research/from, -17:u08:Research/from, -17:u07:Research/from, -17:u0A:Research/from, 9:u06:Labor, 9:u05:Labor, 11:u09:,/Labor, @@ -106724,7 +115857,6 @@ 20:u09:suburban/centres, 15:u0A:images/from, 12:u13:suburban, -11:u14:centres, 10:u00:images, 12:u03:suburban, 11:u04:centres, @@ -106732,7 +115864,6 @@ 20:u08:suburban/centres, 13:u09:centres/,, 12:u12:suburban, -11:u13:centres, 8:u23:subu, 12:u02:suburban, 11:u03:centres, @@ -106740,22 +115871,18 @@ 13:u08:centres/,, 16:u0A:the/suburban, 12:u11:suburban, -11:u12:centres, -8:u33:tres, 12:u01:suburban, 11:u02:centres, 11:u06:storing, 13:u07:centres/,, 20:u0A:suburban/centres, 12:u10:suburban, -11:u11:centres, 12:u00:suburban, 11:u01:centres, 11:u05:storing, 8:u06:echo, 14:u09:in/storing, 13:u0A:centres/,, -11:u10:centres, 11:u14:storing, 11:u00:centres, 11:u04:storing, @@ -107285,7 +116412,6 @@ 17:u08:Margaret/Lung, 12:u09:Lung/for, 12:u12:margaret, -7:u32:ret, 8:u33:aret, 12:u02:Margaret, 17:u07:Margaret/Lung, @@ -107871,19 +116997,15 @@ 9:u12:gould, 9:u02:Gould, 13:u07:Gould/for, -12:u09:his/help, 16:u0A:Oliver/Gould, 9:u11:gould, 9:u01:Gould, -12:u08:his/help, 13:u0A:Gould/for, 9:u10:gould, 9:u00:Gould, 10:u06:figure, -12:u07:his/help, 10:u05:figure, 14:u09:the/figure, -12:u0A:his/help, 10:u14:figure, 10:u04:figure, 14:u08:the/figure, @@ -108037,26 +117159,22 @@ 11:u01:defined, 11:u02:damages, 14:u07:damages/in, -15:u09:the/samples, 19:u0A:defined/damages, 11:u10:defined, 11:u11:damages, 11:u00:defined, 11:u01:damages, -15:u08:the/samples, 20:u09:samples/utilized, 14:u0A:damages/in, 11:u10:damages, 11:u00:damages, 8:u06:self, -15:u07:the/samples, 20:u08:samples/utilized, 16:u09:utilized/for, 8:u05:self, 20:u07:samples/utilized, 16:u08:utilized/for, 12:u09:for/self, -15:u0A:the/samples, 8:u14:self, 8:u04:self, 16:u07:utilized/for, @@ -108189,7 +117307,6 @@ 18:u0A:histologic/and, 14:u10:histologic, 21:u12:immunofluorescent, -7:u22:imm, 8:u23:immu, 8:u33:cent, 14:u00:histologic, @@ -110413,7 +119530,6 @@ 11:u09:Groot/,, 10:u12:pieter, 9:u13:groot, -7:u22:Pie, 8:u23:Piet, 10:u02:Pieter, 9:u03:Groot, @@ -110929,7 +120045,6 @@ 17:u0A:while/chasing, 11:u11:chasing, 10:u12:storms, -8:u33:orms, 11:u01:chasing, 10:u02:storms, 14:u07:storms/and, @@ -110977,15 +120092,12 @@ 13:u07:Brown/for, 11:u0A:./Brown, 6:u06:SO, -18:u09:support/during, 13:u0A:Brown/for, 6:u05:SO, 9:u06:GasEx, -18:u08:support/during, 13:u09:during/SO, 6:u04:SO, 9:u05:GasEx, -18:u07:support/during, 13:u08:during/SO, 12:u09:SO/GasEx, 9:u14:gasex, @@ -110994,9 +120106,7 @@ 13:u07:during/SO, 12:u08:SO/GasEx, 11:u09:GasEx/., -18:u0A:support/during, 9:u13:gasex, -6:u21:SO, 6:u22:SO, 6:u23:SO, 6:u31:SO, @@ -111175,18 +120285,15 @@ 8:u02:noaa, 8:u06:psd3, 10:u07:noaa/., -9:u09:gov//, 10:u0A:./noaa, 8:u01:noaa, 8:u05:psd3, -9:u08:gov//, 10:u09://psd3, 10:u0A:noaa/., 8:u14:psd3, 8:u00:noaa, 8:u04:psd3, 11:u06:cruises, -9:u07:gov//, 10:u08://psd3, 10:u09:psd3//, 8:u13:psd3, @@ -111195,7 +120302,6 @@ 10:u07://psd3, 10:u08:psd3//, 13:u09://cruises, -9:u0A:gov//, 8:u12:psd3, 11:u14:cruises, 6:u21:ps, @@ -111675,7 +120781,6 @@ 19:u09:proteoglycans/;, 12:u12:purified, 17:u13:proteoglycans, -7:u22:pur, 8:u23:puri, 12:u02:purified, 17:u03:proteoglycans, @@ -112082,64 +121187,48 @@ 9:u14:18645, 9:u00:47660, 9:u04:18645, -6:u06:DK, 11:u08:-/18645, 11:u09:18645/,, 8:u0A:,/HL, 9:u13:18645, 9:u03:18645, -6:u05:DK, 11:u07:-/18645, 11:u08:18645/,, 8:u09:,/DK, 9:u12:18645, -6:u14:dk, 8:u23:1864, 8:u33:8645, 9:u02:18645, -6:u04:DK, 9:u06:02456, 11:u07:18645/,, 8:u08:,/DK, 8:u09:DK/-, 11:u0A:-/18645, 9:u11:18645, -6:u13:dk, 9:u01:18645, -6:u03:DK, 9:u05:02456, 8:u07:,/DK, 8:u08:DK/-, 11:u09:-/02456, 11:u0A:18645/,, 9:u10:18645, -6:u12:dk, 9:u14:02456, -6:u22:DK, -6:u23:DK, -6:u32:DK, -6:u33:DK, 9:u00:18645, -6:u02:DK, 9:u04:02456, 8:u07:DK/-, 11:u08:-/02456, 11:u09:02456/,, 8:u0A:,/DK, -6:u11:dk, 9:u13:02456, -6:u01:DK, 9:u03:02456, 11:u07:-/02456, 11:u08:02456/,, 8:u0A:DK/-, -6:u10:dk, 9:u12:02456, 7:u22:024, 8:u23:0245, 7:u32:456, 8:u33:2456, -6:u00:DK, 9:u02:02456, 11:u07:02456/,, 10:u09:and/HL, @@ -112812,8 +121901,6 @@ 15:u03:diffraction, 19:u07:ray/diffraction, 24:u08:diffraction/analysis, -7:u22:dif, -8:u23:diff, 15:u02:diffraction, 24:u07:diffraction/analysis, 19:u0A:ray/diffraction, @@ -113014,7 +122101,6 @@ 13:u09:Baron/for, 10:u12:denise, 9:u13:baron, -8:u23:Deni, 8:u33:nise, 10:u02:Denise, 9:u03:Baron, @@ -113045,42 +122131,25 @@ 10:u07:a/long, 10:u08:long/-, 10:u09:-/term, -13:u06:Molecular, 10:u07:long/-, 10:u08:-/term, 17:u09:term/European, 10:u0A:a/long, -13:u05:Molecular, 10:u07:-/term, 17:u08:term/European, 22:u09:European/Molecular, 10:u0A:long/-, -13:u14:molecular, -13:u04:Molecular, 17:u07:term/European, 22:u08:European/Molecular, -21:u09:Molecular/Biology, 10:u0A:-/term, -13:u13:molecular, -13:u03:Molecular, 22:u07:European/Molecular, -21:u08:Molecular/Biology, 24:u09:Biology/Organisation, 17:u0A:term/European, -13:u12:molecular, -8:u23:Mole, -13:u02:Molecular, -21:u07:Molecular/Biology, 24:u08:Biology/Organisation, 27:u09:Organisation/fellowship, 22:u0A:European/Molecular, -13:u11:molecular, -13:u01:Molecular, 24:u07:Biology/Organisation, 27:u08:Organisation/fellowship, -21:u0A:Molecular/Biology, -13:u10:molecular, -13:u00:Molecular, 27:u07:Organisation/fellowship, 24:u0A:Biology/Organisation, 27:u0A:Organisation/fellowship, @@ -113568,7 +122637,6 @@ 6:u01:pe, 13:u04:Jicamarca, 9:u05:Radio, -15:u06:Observatory, 17:u08:The/Jicamarca, 19:u09:Jicamarca/Radio, 8:u0A:pe/., @@ -113578,54 +122646,41 @@ 6:u00:pe, 13:u03:Jicamarca, 9:u04:Radio, -15:u05:Observatory, 17:u07:The/Jicamarca, 19:u08:Jicamarca/Radio, 21:u09:Radio/Observatory, 13:u12:jicamarca, 9:u13:radio, -15:u14:observatory, 7:u22:Jic, 8:u23:Jica, 8:u33:arca, 13:u02:Jicamarca, 9:u03:Radio, -15:u04:Observatory, 19:u07:Jicamarca/Radio, 21:u08:Radio/Observatory, 18:u09:Observatory/is, 17:u0A:The/Jicamarca, 13:u11:jicamarca, 9:u12:radio, -15:u13:observatory, 8:u23:Radi, 8:u33:adio, 13:u01:Jicamarca, 9:u02:Radio, -15:u03:Observatory, 21:u07:Radio/Observatory, 18:u08:Observatory/is, 19:u0A:Jicamarca/Radio, 13:u10:jicamarca, 9:u11:radio, -15:u12:observatory, -7:u22:Obs, -8:u23:Obse, 13:u00:Jicamarca, 9:u01:Radio, -15:u02:Observatory, 18:u07:Observatory/is, 14:u09:a/facility, 21:u0A:Radio/Observatory, 9:u10:radio, -15:u11:observatory, 9:u00:Radio, -15:u01:Observatory, 14:u08:a/facility, 15:u09:facility/of, 18:u0A:Observatory/is, -15:u10:observatory, -15:u00:Observatory, 13:u06:Instituto, 14:u07:a/facility, 15:u08:facility/of, @@ -114648,7 +123703,6 @@ 6:u21:G0, 7:u22:G08, 8:u23:G080, -7:u32:721, 8:u33:1721, 12:u00:Milstein, 12:u02:G0801721, @@ -114860,7 +123914,6 @@ 6:u21:NP, 7:u22:NPR, 8:u23:NPRO, -7:u32:NET, 8:u33:ONET, 11:u02:NPRONET, 11:u06:L013754, @@ -115084,20 +124137,16 @@ 11:u10:j004561, 11:u00:J004561, 9:u06:Innes, -12:u09:the/John, 9:u05:Innes, -12:u08:the/John, 14:u09:John/Innes, 9:u14:innes, 9:u04:Innes, -12:u07:the/John, 14:u08:John/Innes, 16:u09:Innes/Centre, 9:u13:innes, 9:u03:Innes, 14:u07:John/Innes, 16:u08:Innes/Centre, -12:u0A:the/John, 9:u12:innes, 8:u23:Inne, 9:u02:Innes, @@ -115475,44 +124524,33 @@ 12:u08:for/High, 20:u09:High/Performance, 18:u0A:African/Centre, -15:u14:performance, 15:u04:Performance, 12:u07:for/High, 20:u08:High/Performance, 25:u09:Performance/Computing, -15:u13:performance, 15:u03:Performance, 20:u07:High/Performance, 25:u08:Performance/Computing, 17:u09:Computing/for, 12:u0A:for/High, -15:u12:performance, 15:u02:Performance, 25:u07:Performance/Computing, 17:u08:Computing/for, 20:u0A:High/Performance, -15:u11:performance, 15:u01:Performance, 17:u07:Computing/for, 25:u0A:Performance/Computing, -15:u10:performance, 15:u00:Performance, -13:u06:resources, 20:u09:to/computational, 17:u0A:Computing/for, -13:u05:resources, 20:u08:to/computational, 27:u09:computational/resources, -13:u04:resources, 20:u07:to/computational, 27:u08:computational/resources, 15:u09:resources/., -13:u03:resources, 27:u07:computational/resources, 15:u08:resources/., 20:u0A:to/computational, -8:u23:reso, -13:u02:resources, 15:u07:resources/., 27:u0A:computational/resources, 17:u09:our/gratitude, @@ -115746,36 +124784,29 @@ 14:u09:thank/many, 14:u08:thank/many, 19:u09:many/colleagues, -12:u06:hospital, 14:u07:thank/many, 19:u08:many/colleagues, 17:u09:colleagues/in, -12:u05:hospital, 19:u07:many/colleagues, 17:u08:colleagues/in, 15:u09:in/hospital, 14:u0A:thank/many, -12:u04:hospital, 17:u07:colleagues/in, 15:u08:in/hospital, 16:u09:hospital/and, 19:u0A:many/colleagues, -12:u03:hospital, 12:u06:practice, 15:u07:in/hospital, 16:u08:hospital/and, 17:u0A:colleagues/in, -12:u02:hospital, 12:u05:practice, 16:u07:hospital/and, 15:u09:in/practice, 15:u0A:in/hospital, -12:u01:hospital, 12:u04:practice, 15:u08:in/practice, 14:u09:practice/,, 16:u0A:hospital/and, -12:u00:hospital, 12:u03:practice, 15:u07:in/practice, 14:u08:practice/,, @@ -116282,7 +125313,6 @@ 6:u21:SE, 7:u22:SEM, 7:u23:SEM, -6:u31:EM, 7:u32:SEM, 7:u33:SEM, 14:u00:conducting, @@ -116716,20 +125746,12 @@ 8:u33:know, 11:u02:Lucknow, 15:u07:Lucknow/for, -18:u09:the/facilities, 13:u0A:,/Lucknow, 11:u11:lucknow, 11:u01:Lucknow, -18:u08:the/facilities, -18:u09:facilities/and, 15:u0A:Lucknow/for, 11:u10:lucknow, 11:u00:Lucknow, -18:u07:the/facilities, -18:u08:facilities/and, -18:u07:facilities/and, -18:u0A:the/facilities, -18:u0A:facilities/and, 15:u09:the/network, 15:u08:the/network, 20:u09:network/projects, @@ -116895,7 +125917,6 @@ 12:u09://Senior, 12:u0A:award/of, 10:u12:junior, -7:u22:Jun, 8:u23:Juni, 10:u02:Junior, 12:u07:Junior//, @@ -117031,8 +126052,6 @@ 22:u08:Emeritus/scientist, 15:u09:scientist/(, 12:u12:emeritus, -7:u22:Eme, -8:u23:Emer, 8:u33:itus, 12:u02:Emeritus, 13:u03:scientist, @@ -117666,28 +126685,21 @@ 18:u0A:Martin/Jacquot, 11:u11:jacquot, 11:u01:Jacquot, -18:u06:supercomputing, 15:u0A:Jacquot/for, 11:u10:jacquot, 11:u00:Jacquot, -18:u05:supercomputing, 22:u09:the/supercomputing, -18:u04:supercomputing, 22:u08:the/supercomputing, 33:u09:supercomputing/infrastructure, -18:u03:supercomputing, 22:u07:the/supercomputing, 33:u08:supercomputing/infrastructure, 21:u09:infrastructure/of, -18:u02:supercomputing, 33:u07:supercomputing/infrastructure, 21:u08:infrastructure/of, 22:u0A:the/supercomputing, -18:u01:supercomputing, 9:u06:Basel, 21:u07:infrastructure/of, 33:u0A:supercomputing/infrastructure, -18:u00:supercomputing, 9:u05:Basel, 12:u09:of/Basel, 21:u0A:infrastructure/of, @@ -118227,7 +127239,6 @@ 12:u13:kocatepe, 7:u22:Afy, 8:u23:Afyo, -7:u32:yon, 8:u33:fyon, 7:u00:DVM, 9:u02:Afyon, @@ -118360,7 +127371,6 @@ 7:u12:kav, 7:u22:KAV, 7:u23:KAV, -6:u31:AV, 7:u32:KAV, 7:u33:KAV, 12:u01:Kürşat, @@ -118677,15 +127687,11 @@ 14:u00:Evaluation, 18:u07:Secondary/data, 15:u0A:./Secondary, -17:u09:was/conducted, 18:u0A:Secondary/data, -17:u08:was/conducted, 18:u09:conducted/with, -17:u07:was/conducted, 18:u08:conducted/with, 18:u07:conducted/with, 17:u09:permission/of, -17:u0A:was/conducted, 17:u06:collaborating, 17:u08:permission/of, 10:u09:of/all, @@ -119181,35 +128187,23 @@ 12:u0A:,/Gilead, 10:u11:gilead, 10:u01:Gilead, -16:u06:Therapeutics, 12:u0A:Gilead/,, 10:u10:gilead, 10:u00:Gilead, -16:u05:Therapeutics, 23:u09:United/Therapeutics, -16:u14:therapeutics, -16:u04:Therapeutics, 23:u08:United/Therapeutics, 18:u09:Therapeutics/), -16:u13:therapeutics, -16:u03:Therapeutics, 23:u07:United/Therapeutics, 18:u08:Therapeutics/), -16:u12:therapeutics, -16:u02:Therapeutics, 7:u06:Ivy, 18:u07:Therapeutics/), 10:u09:for/Dr, 23:u0A:United/Therapeutics, -16:u11:therapeutics, -16:u01:Therapeutics, 7:u05:Ivy, 10:u08:for/Dr, 10:u09:Dr/Ivy, 18:u0A:Therapeutics/), -16:u10:therapeutics, 7:u14:ivy, -16:u00:Therapeutics, 7:u04:Ivy, 11:u06:provide, 10:u07:for/Dr, @@ -119224,7 +128218,6 @@ 10:u0A:for/Dr, 7:u12:ivy, 11:u14:provide, -6:u21:Iv, 7:u22:Ivy, 7:u23:Ivy, 7:u32:Ivy, @@ -120838,7 +129831,6 @@ 11:u0A:Silva/,, 11:u12:michele, 13:u13:aparecida, -7:u32:ele, 8:u33:hele, 11:u02:Michele, 13:u03:Aparecida, @@ -121175,22 +130167,17 @@ 20:u0A:National/Council, 17:u05:Technological, 21:u09:and/Technological, -17:u14:technological, 17:u04:Technological, 21:u08:and/Technological, 29:u09:Technological/Development, -17:u13:technological, 17:u03:Technological, 21:u07:and/Technological, 29:u08:Technological/Development, -17:u12:technological, 17:u02:Technological, 29:u07:Technological/Development, 21:u0A:and/Technological, -17:u11:technological, 17:u01:Technological, 29:u0A:Technological/Development, -17:u10:technological, 17:u00:Technological, 10:u06:Chagas, 14:u09:and/Carlos, @@ -121475,7 +130462,6 @@ 11:u09:short/-, 8:u12:embo, 9:u13:short, -6:u21:EM, 7:u22:EMB, 8:u23:EMBO, 6:u31:BO, @@ -121550,7 +130536,6 @@ 16:u08:Luciano/_x+1, 9:u0A:of/Mr, 11:u12:luciano, -7:u32:ano, 8:u33:iano, 14:u06:Klinkhamer, 14:u05:Klinkhamer, @@ -121629,7 +130614,6 @@ 11:u13:sending, 12:u01:Tirnakli, 11:u03:sending, -6:u06:22, 15:u07:for/sending, 21:u08:sending/reference, 15:u09:reference/[, @@ -121639,38 +130623,24 @@ 8:u23:send, 12:u00:Tirnakli, 11:u02:sending, -6:u05:22, 21:u07:sending/reference, 15:u08:reference/[, 8:u09:[/22, 15:u0A:for/sending, 11:u11:sending, -6:u14:22, 11:u01:sending, -6:u04:22, 15:u07:reference/[, 8:u08:[/22, 8:u09:22/], 21:u0A:sending/reference, 11:u10:sending, -6:u13:22, 11:u00:sending, -6:u03:22, 8:u07:[/22, 8:u08:22/], 15:u0A:reference/[, -6:u12:22, -6:u22:22, -6:u23:22, -6:u32:22, -6:u33:22, -6:u02:22, 8:u07:22/], 8:u0A:[/22, -6:u11:22, -6:u01:22, 8:u0A:22/], -6:u10:22, 9:u06:Henan, 9:u05:Henan, 13:u09:the/Henan, @@ -122071,7 +131041,6 @@ 8:u11:jean, 8:u12:guex, 11:u14:torsten, -7:u22:Gue, 8:u23:Guex, 7:u32:uex, 8:u33:Guex, @@ -122464,7 +131433,6 @@ 15:u0A:Augsburg/in, 9:u12:march, 8:u14:2002, -8:u23:Marc, 9:u02:March, 8:u04:2002, 12:u07:March/of, @@ -122941,7 +131909,6 @@ 6:u11:pr, 10:u12:andré, 10:u13:dufour, -7:u31:ré, 8:u32:dré, 9:u33:ndré, 6:u01:Pr, @@ -122973,11 +131940,8 @@ 24:u09:statistical/analyses, 20:u07:with/statistical, 24:u08:statistical/analyses, -14:u09:analyses/., 24:u07:statistical/analyses, -14:u08:analyses/., 20:u0A:with/statistical, -14:u07:analyses/., 24:u0A:statistical/analyses, 8:u04:want, 11:u08:We/want, @@ -123074,7 +132038,6 @@ 17:u06:collaboration, 11:u07:-/OEHUN, 13:u08:OEHUN/for, -11:u09:for/its, 14:u0A:Research/-, 9:u12:oehun, 6:u21:OE, @@ -123086,35 +132049,27 @@ 9:u02:OEHUN, 17:u05:collaboration, 13:u07:OEHUN/for, -11:u08:for/its, 21:u09:its/collaboration, 11:u0A:-/OEHUN, 9:u11:oehun, -17:u14:collaboration, 9:u01:OEHUN, 17:u04:collaboration, -11:u07:for/its, 21:u08:its/collaboration, 27:u09:collaboration/providing, 13:u0A:OEHUN/for, 9:u10:oehun, -17:u13:collaboration, 9:u00:OEHUN, 17:u03:collaboration, 21:u07:its/collaboration, 27:u08:collaboration/providing, -11:u0A:for/its, -17:u12:collaboration, 17:u02:collaboration, 27:u07:collaboration/providing, 13:u09:the/human, 21:u0A:its/collaboration, -17:u11:collaboration, 17:u01:collaboration, 13:u08:the/human, 17:u09:human/samples, 27:u0A:collaboration/providing, -17:u10:collaboration, 17:u00:collaboration, 13:u07:the/human, 17:u08:human/samples, @@ -123838,7 +132793,6 @@ 16:u07:their/inputs, 12:u08:inputs/., 10:u12:inputs, -7:u32:uts, 8:u33:puts, 10:u02:inputs, 12:u07:inputs/., @@ -124447,16 +133401,12 @@ 9:u11:dakar, 9:u01:Dakar, 20:u08:their/continuous, -22:u09:continuous/support, 13:u0A:Dakar/for, 9:u10:dakar, 9:u00:Dakar, 20:u07:their/continuous, -22:u08:continuous/support, -22:u07:continuous/support, 20:u0A:their/continuous, 19:u09:We/particularly, -22:u0A:continuous/support, 22:u09:particularly/thank, 22:u08:particularly/thank, 22:u07:particularly/thank, @@ -124540,7 +133490,6 @@ 15:u10:maintaining, 11:u12:malaria, 13:u13:databases, -7:u22:mal, 8:u23:mala, 15:u00:maintaining, 11:u02:malaria, @@ -124561,21 +133510,13 @@ 15:u0A:databases/., 13:u10:databases, 13:u00:databases, -17:u09:the/reviewers, -17:u08:the/reviewers, -17:u07:the/reviewers, -17:u0A:the/reviewers, 13:u09:that/have, 13:u08:that/have, -16:u09:have/greatly, 13:u07:that/have, -16:u08:have/greatly, 20:u09:greatly/improved, -16:u07:have/greatly, 20:u08:greatly/improved, 13:u0A:that/have, 20:u07:greatly/improved, -16:u0A:have/greatly, 20:u0A:greatly/improved, 20:u09:those/colleagues, 20:u08:those/colleagues, @@ -125626,7 +134567,6 @@ 10:u12:elagib, 7:u22:ElA, 8:u23:ElAg, -6:u31:ib, 7:u32:gib, 8:u33:Agib, 10:u02:ElAgib, @@ -125665,33 +134605,21 @@ 13:u07:,/College, 13:u0A:,/College, 13:u09:,/Physics, -13:u06:Astronomy, 13:u08:,/Physics, 13:u09:Physics/&, -13:u05:Astronomy, 13:u07:,/Physics, 13:u08:Physics/&, 15:u09:&/Astronomy, -13:u14:astronomy, -13:u04:Astronomy, 13:u07:Physics/&, 15:u08:&/Astronomy, 24:u09:Astronomy/Department, 13:u0A:,/Physics, -13:u13:astronomy, -13:u03:Astronomy, 15:u07:&/Astronomy, 24:u08:Astronomy/Department, 13:u0A:Physics/&, -13:u12:astronomy, -13:u02:Astronomy, 24:u07:Astronomy/Department, 15:u0A:&/Astronomy, -13:u11:astronomy, -13:u01:Astronomy, 24:u0A:Astronomy/Department, -13:u10:astronomy, -13:u00:Astronomy, 13:u09:NCI/grant, 12:u06:CA125456, 13:u08:NCI/grant, @@ -125764,7 +134692,6 @@ 13:u08:2005331/(, 16:u0A:Foundation/#, 11:u12:2005331, -7:u32:331, 8:u33:5331, 11:u02:2005331, 13:u07:2005331/(, @@ -125774,10 +134701,6 @@ 13:u0A:2005331/(, 11:u10:2005331, 11:u00:2005331, -16:u09:conducted/in, -16:u08:conducted/in, -16:u07:conducted/in, -16:u0A:conducted/in, 11:u06:BIOMAHE, 11:u05:BIOMAHE, 18:u09:funded/BIOMAHE, @@ -125794,7 +134717,6 @@ 18:u09:Marie/CurieToK, 11:u12:biomahe, 12:u14:curietok, -6:u21:BI, 7:u22:BIO, 8:u23:BIOM, 7:u32:AHE, @@ -126013,7 +134935,6 @@ 8:u0A:ON/-, 7:u12:era, 8:u14:dtim, -7:u22:ERA, 7:u23:ERA, 7:u33:ERA, 6:u00:ON, @@ -127142,7 +136063,6 @@ 10:u01:Tullow, 7:u02:Oil, 12:u04:Woodside, -11:u06:thanked, 11:u07:Oil/and, 16:u08:and/Woodside, 16:u09:Woodside/are, @@ -127152,40 +136072,19 @@ 10:u00:Tullow, 7:u01:Oil, 12:u03:Woodside, -11:u05:thanked, 16:u07:and/Woodside, 16:u08:Woodside/are, -15:u09:are/thanked, 11:u0A:Oil/and, 12:u12:woodside, -11:u14:thanked, 7:u00:Oil, 12:u02:Woodside, -11:u04:thanked, 16:u07:Woodside/are, -15:u08:are/thanked, -15:u09:thanked/for, 16:u0A:and/Woodside, 12:u11:woodside, -11:u13:thanked, 12:u01:Woodside, -11:u03:thanked, -15:u07:are/thanked, -15:u08:thanked/for, 16:u0A:Woodside/are, 12:u10:woodside, -11:u12:thanked, -7:u32:ked, -8:u33:nked, 12:u00:Woodside, -11:u02:thanked, -15:u07:thanked/for, -15:u0A:are/thanked, -11:u11:thanked, -11:u01:thanked, -15:u0A:thanked/for, -11:u10:thanked, -11:u00:thanked, 9:u06:wider, 9:u05:wider, 7:u06:FRG, @@ -127711,13 +136610,9 @@ 23:u07:Intramural/Research, 18:u0A:the/Intramural, 23:u0A:Intramural/Research, -23:u09:Infectious/Diseases, -23:u08:Infectious/Diseases, 14:u09:Diseases/,, -23:u07:Infectious/Diseases, 14:u08:Diseases/,, 14:u07:Diseases/,, -23:u0A:Infectious/Diseases, 14:u0A:Diseases/,, 6:u06:Pr, 11:u06:Mamadou, @@ -128845,17 +137740,13 @@ 18:u0A:the/Microscopy, 17:u07:and/Histology, 18:u08:Histology/Core, -17:u09:Core/Facility, 18:u0A:Microscopy/and, 18:u07:Histology/Core, -17:u08:Core/Facility, 15:u09:Facility/at, 17:u0A:and/Histology, -17:u07:Core/Facility, 15:u08:Facility/at, 18:u0A:Histology/Core, 15:u07:Facility/at, -17:u0A:Core/Facility, 15:u0A:Facility/at, 16:u09:Aberdeen/for, 16:u08:Aberdeen/for, @@ -128864,28 +137755,22 @@ 16:u07:Aberdeen/for, 13:u08:for/using, 12:u05:confocal, -9:u06:laser, 13:u07:for/using, 16:u09:the/confocal, 16:u0A:Aberdeen/for, 12:u14:confocal, 12:u04:confocal, -9:u05:laser, 16:u08:the/confocal, 18:u09:confocal/laser, 13:u0A:for/using, 12:u13:confocal, -9:u14:laser, 12:u03:confocal, -9:u04:laser, 12:u06:scanning, 16:u07:the/confocal, 18:u08:confocal/laser, 11:u09:laser/-, 12:u12:confocal, -9:u13:laser, 12:u02:confocal, -9:u03:laser, 12:u05:scanning, 14:u06:microscopy, 18:u07:confocal/laser, @@ -128893,12 +137778,8 @@ 14:u09:-/scanning, 16:u0A:the/confocal, 12:u11:confocal, -9:u12:laser, 12:u14:scanning, -8:u23:lase, -8:u33:aser, 12:u01:confocal, -9:u02:laser, 12:u04:scanning, 14:u05:microscopy, 11:u07:laser/-, @@ -128906,19 +137787,15 @@ 23:u09:scanning/microscopy, 18:u0A:confocal/laser, 12:u10:confocal, -9:u11:laser, 12:u13:scanning, 12:u00:confocal, -9:u01:laser, 12:u03:scanning, 14:u04:microscopy, 14:u07:-/scanning, 23:u08:scanning/microscopy, 16:u09:microscopy/., 11:u0A:laser/-, -9:u10:laser, 12:u12:scanning, -9:u00:laser, 12:u02:scanning, 14:u03:microscopy, 23:u07:scanning/microscopy, @@ -129607,36 +138484,27 @@ 19:u09:National/Centre, 14:u06:Competence, 19:u08:National/Centre, -13:u09:Centre/of, 14:u05:Competence, 19:u07:National/Centre, -13:u08:Centre/of, 17:u09:of/Competence, -14:u14:competence, 14:u04:Competence, -13:u07:Centre/of, 17:u08:of/Competence, 17:u09:Competence/in, 19:u0A:National/Centre, -14:u13:competence, 14:u03:Competence, 17:u07:of/Competence, 17:u08:Competence/in, 15:u09:in/Research, -13:u0A:Centre/of, -14:u12:competence, 14:u02:Competence, 8:u06:NCCR, 17:u07:Competence/in, 15:u08:in/Research, 17:u0A:of/Competence, -14:u11:competence, 14:u01:Competence, 8:u05:NCCR, 15:u07:in/Research, 10:u09:(/NCCR, 17:u0A:Competence/in, -14:u10:competence, 8:u14:nccr, 14:u00:Competence, 8:u04:NCCR, @@ -129789,7 +138657,6 @@ 11:u07:an/iPhD, 19:u08:iPhD/fellowship, 8:u12:iphd, -6:u21:iP, 7:u22:iPh, 8:u23:iPhD, 8:u33:iPhD, @@ -129903,7 +138770,6 @@ 9:u14:sados, 7:u22:DLR, 7:u23:DLR, -6:u31:LR, 7:u32:DLR, 7:u33:DLR, 7:u02:DLR, @@ -129923,7 +138789,6 @@ 9:u12:sados, 7:u22:SAD, 8:u23:SADO, -6:u31:OS, 7:u32:DOS, 8:u33:ADOS, 7:u00:DLR, @@ -129971,7 +138836,6 @@ 12:u0A:ACCENT/-, 10:u10:accent, 8:u12:plus, -7:u22:Plu, 8:u23:Plus, 8:u33:Plus, 10:u00:ACCENT, @@ -130158,7 +139022,6 @@ 8:u10:scia, 9:u12:machy, 15:u13:calibration, -8:u14:team, 7:u22:MAC, 8:u23:MACH, 8:u00:SCIA, @@ -130171,7 +139034,6 @@ 11:u0A:-/MACHY, 9:u11:machy, 15:u12:calibration, -8:u13:team, 9:u01:MACHY, 15:u02:calibration, 8:u03:team, @@ -130181,9 +139043,6 @@ 21:u0A:MACHY/calibration, 9:u10:machy, 15:u11:calibration, -8:u12:team, -7:u22:tea, -8:u23:team, 8:u33:team, 9:u00:MACHY, 15:u01:calibration, @@ -130194,7 +139053,6 @@ 9:u09:DLR/,, 20:u0A:calibration/team, 15:u10:calibration, -8:u11:team, 15:u00:calibration, 8:u01:team, 8:u05:SRON, @@ -130202,7 +139060,6 @@ 9:u08:DLR/,, 10:u09:,/SRON, 10:u0A:team/(, -8:u10:team, 8:u14:sron, 8:u00:team, 8:u04:SRON, @@ -130218,7 +139075,6 @@ 8:u12:sron, 7:u22:SRO, 8:u23:SRON, -7:u32:RON, 8:u33:SRON, 8:u02:SRON, 10:u07:SRON/,, @@ -130312,11 +139168,7 @@ 19:u09:./Environmental, 19:u08:./Environmental, 19:u07:./Environmental, -12:u09:Agency/., 19:u0A:./Environmental, -12:u08:Agency/., -12:u07:Agency/., -12:u0A:Agency/., 19:u09:European/Centre, 10:u06:Medium, 19:u08:European/Centre, @@ -130383,7 +139235,6 @@ 11:u11:weather, 13:u12:forecasts, 9:u14:ecmwf, -8:u33:asts, 9:u00:Range, 11:u01:Weather, 13:u02:Forecasts, @@ -130958,7 +139809,6 @@ 12:u07:,/Mysore, 12:u08:Mysore/., 10:u12:mysore, -6:u21:My, 7:u22:Mys, 8:u23:Myso, 8:u33:sore, @@ -130996,18 +139846,15 @@ 9:u06:START, 9:u05:START, 12:u09:by/START, -9:u14:start, 9:u04:START, 8:u06:Y237, 12:u08:by/START, 17:u09:START/project, -9:u13:start, 9:u03:START, 8:u05:Y237, 12:u07:by/START, 17:u08:START/project, 16:u09:project/Y237, -9:u12:start, 8:u14:y237, 8:u23:STAR, 7:u32:ART, @@ -131018,14 +139865,12 @@ 16:u08:project/Y237, 11:u09:Y237/of, 12:u0A:by/START, -9:u11:start, 8:u13:y237, 9:u01:START, 8:u03:Y237, 16:u07:project/Y237, 11:u08:Y237/of, 17:u0A:START/project, -9:u10:start, 8:u12:y237, 6:u21:Y2, 7:u22:Y23, @@ -131287,7 +140132,6 @@ 13:u0A:./Chávez, 11:u11:chávez, 10:u12:montes, -8:u33:ntes, 11:u01:Chávez, 10:u02:Montes, 10:u06:Magnus, @@ -131544,7 +140388,6 @@ 10:u0A:FG36/-, 8:u10:fg36, 13:u12:08g018006, -7:u14:one, 7:u22:08G, 8:u23:08G0, 8:u33:8006, @@ -131556,7 +140399,6 @@ 10:u09:One/of, 15:u0A:-/08G018006, 13:u11:08g018006, -7:u13:one, 13:u01:08G018006, 7:u03:One, 9:u07:./One, @@ -131564,7 +140406,6 @@ 9:u09:of/us, 15:u0A:08G018006/., 13:u10:08g018006, -7:u12:one, 7:u22:One, 7:u23:One, 7:u32:One, @@ -131576,14 +140417,12 @@ 9:u08:of/us, 8:u09:us/(, 9:u0A:./One, -7:u11:one, 7:u01:One, 7:u05:GMK, 9:u07:of/us, 8:u08:us/(, 9:u09:(/GMK, 10:u0A:One/of, -7:u10:one, 7:u14:gmk, 7:u00:One, 7:u04:GMK, @@ -131778,7 +140617,6 @@ 14:u0A:cover/page, 9:u10:cover, 9:u12:shows, -8:u23:show, 8:u33:hows, 9:u00:cover, 9:u02:shows, @@ -131813,7 +140651,6 @@ 10:u09:)/with, 12:u0A:(/center, 9:u12:front, -7:u32:ont, 8:u33:ront, 9:u02:front, 11:u07:front/), @@ -132126,51 +140963,42 @@ 17:u09:,/electronics, 16:u0A:middle/front, 10:u10:middle, -15:u14:electronics, 10:u00:middle, 15:u04:electronics, 11:u05:teacher, 17:u08:,/electronics, 23:u09:electronics/teacher, -15:u13:electronics, 15:u03:electronics, 11:u04:teacher, 17:u07:,/electronics, 23:u08:electronics/teacher, 14:u09:teacher/in, -15:u12:electronics, 15:u02:electronics, 11:u03:teacher, 23:u07:electronics/teacher, 14:u08:teacher/in, 17:u0A:,/electronics, -15:u11:electronics, 8:u23:teac, 15:u01:electronics, 11:u02:teacher, -15:u06:Electronics, 14:u07:teacher/in, 15:u09:a/Technical, 23:u0A:electronics/teacher, 15:u10:electronics, 15:u00:electronics, 11:u01:teacher, -15:u05:Electronics, 15:u08:a/Technical, 25:u09:Technical/Electronics, 14:u0A:teacher/in, 11:u00:teacher, -15:u04:Electronics, 15:u07:a/Technical, 25:u08:Technical/Electronics, 26:u09:Electronics/Laboratory, -15:u03:Electronics, 9:u06:Hight, 25:u07:Technical/Electronics, 26:u08:Electronics/Laboratory, 17:u09:Laboratory/in, 15:u0A:a/Technical, -15:u02:Electronics, 9:u05:Hight, 26:u07:Electronics/Laboratory, 17:u08:Laboratory/in, @@ -132549,29 +141377,21 @@ 13:u03:sequences, 17:u07:All/sequences, 18:u08:sequences/were, -18:u09:were/performed, 13:u12:sequences, 13:u02:sequences, 18:u07:sequences/were, -18:u08:were/performed, 16:u09:performed/at, 17:u0A:All/sequences, 13:u11:sequences, 13:u01:sequences, -18:u07:were/performed, 16:u08:performed/at, 18:u0A:sequences/were, 13:u10:sequences, 13:u00:sequences, 16:u07:performed/at, -17:u09:the/Molecular, -18:u0A:were/performed, -17:u08:the/Molecular, 16:u0A:performed/at, -17:u07:the/Molecular, 16:u09:Biology/Unit, 16:u08:Biology/Unit, -17:u0A:the/Molecular, 16:u07:Biology/Unit, 14:u09:,/Institut, 14:u08:,/Institut, @@ -132782,7 +141602,6 @@ 11:u12:vignali, 7:u22:Vig, 8:u23:Vign, -7:u32:ali, 8:u33:nali, 11:u01:Marissa, 11:u02:Vignali, @@ -133220,10 +142039,8 @@ 17:u07:resources/are, 16:u08:are/provided, 27:u0A:Computational/resources, -13:u01:resources, 16:u07:are/provided, 17:u0A:resources/are, -13:u00:resources, 16:u0A:are/provided, 9:u06:XSEDE, 15:u09:-/supported, @@ -133279,33 +142096,20 @@ 16:u07:facilities/., 20:u0A:NERSC/facilities, 9:u10:nersc, -13:u06:developed, -13:u05:developed, 17:u09:was/developed, -13:u14:developed, -13:u04:developed, 17:u08:was/developed, 19:u09:developed/under, -13:u13:developed, -13:u03:developed, 17:u07:was/developed, 19:u08:developed/under, -13:u12:developed, -8:u33:oped, -13:u02:developed, 15:u06:predoctoral, 19:u07:developed/under, 14:u09:the/MINECO, 17:u0A:was/developed, -13:u11:developed, -13:u01:developed, 15:u05:predoctoral, 14:u08:the/MINECO, 22:u09:MINECO/predoctoral, 19:u0A:developed/under, -13:u10:developed, 15:u14:predoctoral, -13:u00:developed, 15:u04:predoctoral, 7:u06:BES, 14:u07:the/MINECO, @@ -133400,18 +142204,15 @@ 8:u11:eebb, 8:u01:EEBB, 7:u07:-/I, -7:u08:I/-, 10:u0A:EEBB/-, 8:u10:eebb, 8:u00:EEBB, 9:u06:11044, -7:u07:I/-, 8:u09:16/-, 7:u0A:-/I, 9:u05:11044, 8:u08:16/-, 11:u09:-/11044, -7:u0A:I/-, 9:u14:11044, 9:u04:11044, 12:u06:cofunded, @@ -133495,9 +142296,6 @@ 11:u09:-/42614, 11:u12:aya2013, 9:u14:42614, -6:u21:AY, -7:u22:AYA, -8:u23:AYA2, 11:u02:AYA2013, 9:u04:42614, 13:u07:AYA2013/-, @@ -133634,7 +142432,6 @@ 11:u14:ccg2015, 11:u01:Alcalá, 11:u04:CCG2015, -7:u06:EXP, 17:u07:under/project, 19:u08:project/CCG2015, 13:u09:CCG2015//, @@ -133643,60 +142440,43 @@ 11:u13:ccg2015, 11:u00:Alcalá, 11:u03:CCG2015, -7:u05:EXP, 19:u07:project/CCG2015, 13:u08:CCG2015//, 9:u09://EXP, 17:u0A:under/project, 11:u12:ccg2015, -7:u14:exp, 7:u22:CCG, 8:u23:CCG2, 11:u02:CCG2015, -7:u04:EXP, 7:u06:055, 13:u07:CCG2015//, 9:u08://EXP, 9:u09:EXP/-, 19:u0A:project/CCG2015, 11:u11:ccg2015, -7:u13:exp, 11:u01:CCG2015, -7:u03:EXP, 7:u05:055, 9:u07://EXP, 9:u08:EXP/-, 9:u09:-/055, 13:u0A:CCG2015//, 11:u10:ccg2015, -7:u12:exp, 7:u14:055, -6:u21:EX, -7:u22:EXP, -7:u23:EXP, -6:u31:XP, -7:u32:EXP, -7:u33:EXP, 11:u00:CCG2015, -7:u02:EXP, 7:u04:055, 9:u07:EXP/-, 9:u08:-/055, 11:u09:055/and, 9:u0A://EXP, -7:u11:exp, 7:u13:055, -7:u01:EXP, 7:u03:055, 9:u07:-/055, 11:u08:055/and, 9:u0A:EXP/-, -7:u10:exp, 7:u12:055, 7:u22:055, 7:u23:055, 7:u33:055, -7:u00:EXP, 7:u02:055, 11:u07:055/and, 9:u0A:-/055, @@ -134110,16 +142890,12 @@ 19:u0A:otherwise/noted, 13:u10:otherwise, 9:u11:noted, -15:u03:Statistical, 20:u07:_x-1/Statistical, 24:u08:Statistical/analysis, -15:u02:Statistical, 24:u07:Statistical/analysis, 20:u0A:_x-1/Statistical, -15:u01:Statistical, 7:u09:A/t, 24:u0A:Statistical/analysis, -15:u00:Statistical, 7:u08:A/t, 7:u09:t/-, 7:u07:A/t, @@ -135143,7 +143919,6 @@ 14:u0A:Curation/,, 12:u10:curation, 20:u14:interoperability, -7:u22:Syn, 8:u23:Synt, 12:u00:Curation, 13:u02:Synthesis, @@ -135341,7 +144116,6 @@ 20:u09:Newton/Institute, 9:u12:isaac, 10:u13:newton, -7:u22:Isa, 8:u23:Isaa, 7:u32:aac, 8:u33:saac, @@ -135981,7 +144755,6 @@ 10:u13:breast, 7:u22:DoD, 7:u23:DoD, -6:u31:oD, 7:u32:DoD, 7:u33:DoD, 7:u02:DoD, @@ -136294,7 +145067,6 @@ 7:u10:wai, 8:u12:ping, 7:u13:yam, -7:u22:Pin, 8:u23:Ping, 8:u33:Ping, 7:u00:Wai, @@ -136778,7 +145550,6 @@ 10:u00:Weston, 11:u02:Melinda, 9:u03:Golde, -9:u06:great, 17:u07:Melinda/Golde, 13:u08:Golde/for, 15:u0A:and/Melinda, @@ -136787,40 +145558,23 @@ 8:u33:olde, 11:u01:Melinda, 9:u02:Golde, -9:u05:great, 13:u07:Golde/for, -15:u09:their/great, 17:u0A:Melinda/Golde, 11:u10:melinda, 9:u11:golde, -9:u14:great, 11:u00:Melinda, 9:u01:Golde, -9:u04:great, -15:u08:their/great, 14:u09:great/work, 13:u0A:Golde/for, 9:u10:golde, -9:u13:great, 9:u00:Golde, -9:u03:great, -15:u07:their/great, 14:u08:great/work, -9:u12:great, -7:u32:eat, -8:u33:reat, -9:u02:great, 14:u07:great/work, 17:u09:in/processing, -15:u0A:their/great, -9:u11:great, -9:u01:great, 9:u06:fetal, 17:u08:in/processing, 20:u09:processing/human, 14:u0A:great/work, -9:u10:great, -9:u00:great, 9:u05:fetal, 12:u06:prostate, 17:u07:in/processing, @@ -137205,7 +145959,6 @@ 10:u13:cooper, 14:u14:hematology, 8:u23:Denn, -7:u32:nis, 8:u33:nnis, 10:u02:Dennis, 10:u03:Cooper, @@ -137427,7 +146180,6 @@ 17:u0A:treatment/for, 11:u12:nitrate, 13:u14:pesticide, -6:u21:ni, 7:u22:nit, 8:u23:nitr, 11:u02:nitrate, @@ -138712,7 +147464,6 @@ 12:u08:seed/and, 16:u09:and/reagents, 8:u12:seed, -7:u22:see, 8:u23:seed, 7:u32:eed, 8:u33:seed, @@ -139216,7 +147967,6 @@ 8:u33:iner, 12:u02:Gumbiner, 14:u04:constructs, -8:u06:Marc, 16:u07:Gumbiner/for, 18:u08:for/constructs, 18:u09:constructs/and, @@ -139225,55 +147975,41 @@ 14:u13:constructs, 12:u01:Gumbiner, 14:u03:constructs, -8:u05:Marc, 9:u06:Mumby, 18:u07:for/constructs, 18:u08:constructs/and, -12:u09:and/Marc, 16:u0A:Gumbiner/for, 12:u10:gumbiner, 14:u12:constructs, -8:u14:marc, 12:u00:Gumbiner, 14:u02:constructs, -8:u04:Marc, 9:u05:Mumby, 18:u07:constructs/and, -12:u08:and/Marc, 14:u09:Marc/Mumby, 18:u0A:for/constructs, 14:u11:constructs, -8:u13:marc, 9:u14:mumby, 14:u01:constructs, -8:u03:Marc, 9:u04:Mumby, 9:u06:PP2Ac, -12:u07:and/Marc, 14:u08:Marc/Mumby, 13:u09:Mumby/for, 18:u0A:constructs/and, 14:u10:constructs, -8:u12:marc, 9:u13:mumby, -8:u33:Marc, 14:u00:constructs, -8:u02:Marc, 9:u03:Mumby, 9:u05:PP2Ac, 12:u06:antibody, 14:u07:Marc/Mumby, 13:u08:Mumby/for, 13:u09:for/PP2Ac, -12:u0A:and/Marc, -8:u11:marc, 9:u12:mumby, 9:u14:pp2ac, 7:u22:Mum, 8:u23:Mumb, 7:u32:mby, 8:u33:umby, -8:u01:Marc, 9:u02:Mumby, 9:u04:PP2Ac, 12:u05:antibody, @@ -139281,10 +148017,8 @@ 13:u08:for/PP2Ac, 18:u09:PP2Ac/antibody, 14:u0A:Marc/Mumby, -8:u10:marc, 9:u11:mumby, 9:u13:pp2ac, -8:u00:Marc, 9:u01:Mumby, 9:u03:PP2Ac, 12:u04:antibody, @@ -139719,7 +148453,6 @@ 8:u03:aims, 14:u07:which/aims, 11:u08:aims/to, -13:u09:to/design, 8:u12:aims, 7:u22:aim, 8:u23:aims, @@ -139727,12 +148460,10 @@ 8:u33:aims, 8:u02:aims, 11:u07:aims/to, -13:u08:to/design, 19:u09:design/improved, 14:u0A:which/aims, 8:u11:aims, 8:u01:aims, -13:u07:to/design, 19:u08:design/improved, 14:u09:improved/P, 11:u0A:aims/to, @@ -139741,7 +148472,6 @@ 19:u07:design/improved, 14:u08:improved/P, 15:u09:P/recycling, -13:u0A:to/design, 14:u07:improved/P, 15:u08:P/recycling, 21:u09:recycling/systems, @@ -140059,7 +148789,6 @@ 7:u01:GAP, 13:u03:deficient, 14:u04:p190RhoGAP, -11:u06:vectors, 15:u07:-/deficient, 24:u08:deficient/p190RhoGAP, 25:u09:p190RhoGAP/expression, @@ -140070,47 +148799,34 @@ 7:u00:GAP, 13:u02:deficient, 14:u03:p190RhoGAP, -11:u05:vectors, 24:u07:deficient/p190RhoGAP, 25:u08:p190RhoGAP/expression, 22:u09:expression/vectors, 15:u0A:-/deficient, 13:u11:deficient, 14:u12:p190rhogap, -11:u14:vectors, 6:u21:p1, 7:u22:p19, 8:u23:p190, 8:u33:oGAP, 13:u01:deficient, 14:u02:p190RhoGAP, -11:u04:vectors, 25:u07:p190RhoGAP/expression, 22:u08:expression/vectors, 13:u09:vectors/., 24:u0A:deficient/p190RhoGAP, 13:u10:deficient, 14:u11:p190rhogap, -11:u13:vectors, 13:u00:deficient, 14:u01:p190RhoGAP, -11:u03:vectors, 22:u07:expression/vectors, 13:u08:vectors/., 25:u0A:p190RhoGAP/expression, 14:u10:p190rhogap, -11:u12:vectors, -7:u22:vec, -8:u23:vect, 14:u00:p190RhoGAP, -11:u02:vectors, 13:u07:vectors/., 22:u0A:expression/vectors, -11:u11:vectors, -11:u01:vectors, 13:u0A:vectors/., -11:u10:vectors, -11:u00:vectors, 11:u06:Christy, 11:u05:Christy, 11:u06:Cloonan, @@ -140328,87 +149044,62 @@ 13:u07:GM29860/., 17:u0A:grant/GM29860, 11:u11:gm29860, -12:u06:beamline, -12:u05:beamline, 10:u06:BL17U1, 15:u09:of/beamline, -12:u14:beamline, -12:u04:beamline, 10:u05:BL17U1, 15:u08:of/beamline, 19:u09:beamline/BL17U1, -12:u13:beamline, 10:u14:bl17u1, -12:u03:beamline, 10:u04:BL17U1, 15:u07:of/beamline, 19:u08:beamline/BL17U1, 13:u09:BL17U1/at, -12:u12:beamline, 10:u13:bl17u1, -12:u02:beamline, 10:u03:BL17U1, 19:u07:beamline/BL17U1, 13:u08:BL17U1/at, 15:u0A:of/beamline, -12:u11:beamline, 10:u12:bl17u1, 7:u22:BL1, 8:u23:BL17, 6:u31:U1, 7:u32:7U1, 8:u33:17U1, -12:u01:beamline, 10:u02:BL17U1, -15:u06:Synchrotron, 13:u07:BL17U1/at, 16:u09:the/Shanghai, 19:u0A:beamline/BL17U1, -12:u10:beamline, 10:u11:bl17u1, -12:u00:beamline, 10:u01:BL17U1, -15:u05:Synchrotron, 13:u06:Radiation, 16:u08:the/Shanghai, 24:u09:Shanghai/Synchrotron, 13:u0A:BL17U1/at, 10:u10:bl17u1, -15:u14:synchrotron, 10:u00:BL17U1, -15:u04:Synchrotron, 13:u05:Radiation, 16:u07:the/Shanghai, 24:u08:Shanghai/Synchrotron, 25:u09:Synchrotron/Radiation, -15:u13:synchrotron, 13:u14:radiation, -15:u03:Synchrotron, 13:u04:Radiation, 24:u07:Shanghai/Synchrotron, 25:u08:Synchrotron/Radiation, 22:u09:Radiation/Facility, 16:u0A:the/Shanghai, -15:u12:synchrotron, 13:u13:radiation, -8:u23:Sync, -15:u02:Synchrotron, 13:u03:Radiation, 25:u07:Synchrotron/Radiation, 22:u08:Radiation/Facility, 14:u09:Facility/(, 24:u0A:Shanghai/Synchrotron, -15:u11:synchrotron, 13:u12:radiation, -15:u01:Synchrotron, 13:u02:Radiation, 22:u07:Radiation/Facility, 14:u08:Facility/(, 11:u09:(/China, 25:u0A:Synchrotron/Radiation, -15:u10:synchrotron, 13:u11:radiation, -15:u00:Synchrotron, 13:u01:Radiation, 14:u07:Facility/(, 11:u08:(/China, @@ -140527,7 +149218,6 @@ 12:u08:Baikov/,, 10:u12:baikov, 8:u23:Baik, -7:u32:kov, 8:u33:ikov, 10:u02:Baikov, 12:u07:Baikov/,, @@ -140725,7 +149415,6 @@ 12:u09:,/Andrea, 21:u0A:acknowledge/James, 13:u12:blanchard, -8:u23:Blan, 13:u02:Blanchard, 15:u07:Blanchard/,, 12:u08:,/Andrea, @@ -140916,54 +149605,42 @@ 14:u07:CanWaCH/is, 19:u09:a/collaboration, 13:u0A:./CanWaCH, -8:u06:more, 19:u08:a/collaboration, 20:u09:collaboration/of, 14:u0A:CanWaCH/is, -8:u05:more, 8:u06:than, 19:u07:a/collaboration, 20:u08:collaboration/of, 11:u09:of/more, -8:u14:more, -8:u04:more, 8:u05:than, 6:u06:80, 20:u07:collaboration/of, 11:u08:of/more, 13:u09:more/than, 19:u0A:a/collaboration, -8:u13:more, 8:u14:than, -8:u03:more, 8:u04:than, 6:u05:80, 11:u07:of/more, 13:u08:more/than, 11:u09:than/80, 20:u0A:collaboration/of, -8:u12:more, 8:u13:than, 6:u14:80, -8:u23:more, -8:u02:more, 8:u03:than, 6:u04:80, 13:u07:more/than, 11:u08:than/80, 15:u09:80/Canadian, 11:u0A:of/more, -8:u11:more, 8:u12:than, 6:u13:80, -8:u01:more, 8:u02:than, 6:u03:80, 11:u07:than/80, 15:u08:80/Canadian, 26:u09:Canadian/organizations, 13:u0A:more/than, -8:u10:more, 8:u11:than, 6:u12:80, 6:u21:80, @@ -140971,7 +149648,6 @@ 6:u23:80, 6:u32:80, 6:u33:80, -8:u00:more, 8:u01:than, 6:u02:80, 15:u07:80/Canadian, @@ -140991,24 +149667,20 @@ 12:u08:that/are, 15:u09:are/working, 26:u0A:Canadian/organizations, -11:u14:working, 11:u04:working, 12:u07:that/are, 15:u08:are/working, 14:u09:working/to, -11:u13:working, 11:u03:working, 12:u06:maternal, 15:u07:are/working, 14:u08:working/to, 12:u0A:that/are, -11:u12:working, 11:u02:working, 12:u05:maternal, 14:u07:working/to, 20:u09:improve/maternal, 15:u0A:are/working, -11:u11:working, 12:u14:maternal, 11:u01:working, 12:u04:maternal, @@ -141016,7 +149688,6 @@ 20:u08:improve/maternal, 14:u09:maternal/,, 14:u0A:working/to, -11:u10:working, 12:u13:maternal, 11:u00:working, 12:u03:maternal, @@ -141046,7 +149717,6 @@ 11:u12:newborn, 7:u22:new, 8:u23:newb, -7:u32:orn, 8:u33:born, 12:u00:maternal, 11:u02:newborn, @@ -141896,7 +150566,6 @@ 13:u12:ostrowski, 7:u22:Ost, 8:u23:Ostr, -8:u33:wski, 11:u01:Mateusz, 13:u02:Ostrowski, 16:u07:Ostrowski/is, @@ -142269,14 +150938,12 @@ 13:u08:for/Motor, 16:u09:Motor/Neuron, 9:u13:motor, -10:u14:neuron, 9:u03:Motor, 10:u04:Neuron, 13:u07:for/Motor, 16:u08:Motor/Neuron, 18:u09:Neuron/Biology, 9:u12:motor, -10:u13:neuron, 7:u22:Mot, 8:u23:Moto, 8:u33:otor, @@ -142284,31 +150951,24 @@ 10:u03:Neuron, 16:u07:Motor/Neuron, 18:u08:Neuron/Biology, -15:u09:Biology/and, 13:u0A:for/Motor, 9:u11:motor, -10:u12:neuron, 8:u33:uron, 9:u01:Motor, 10:u02:Neuron, 18:u07:Neuron/Biology, -15:u08:Biology/and, 15:u09:and/Disease, 16:u0A:Motor/Neuron, 9:u10:motor, -10:u11:neuron, 9:u00:Motor, 10:u01:Neuron, -15:u07:Biology/and, 15:u08:and/Disease, 13:u09:Disease/(, 18:u0A:Neuron/Biology, -10:u10:neuron, 10:u00:Neuron, 15:u07:and/Disease, 13:u08:Disease/(, 9:u09:(/NAS, -15:u0A:Biology/and, 13:u07:Disease/(, 9:u08:(/NAS, 15:u0A:and/Disease, @@ -142986,7 +151646,6 @@ 17:u0A:compiling/the, 13:u10:compiling, 10:u12:plates, -8:u23:plat, 13:u00:compiling, 10:u02:plates, 12:u07:plates/., @@ -144323,19 +152982,15 @@ 11:u00:receipt, 18:u09:Trust/Clinical, 18:u08:Trust/Clinical, -23:u09:Clinical/Fellowship, 16:u06:WT_RS_109030, 18:u07:Trust/Clinical, -23:u08:Clinical/Fellowship, 16:u05:WT_RS_109030, -23:u07:Clinical/Fellowship, 18:u09:(/WT_RS_109030, 18:u0A:Trust/Clinical, 16:u14:wt_rs_109030, 16:u04:WT_RS_109030, 18:u08:(/WT_RS_109030, 18:u09:WT_RS_109030//, -23:u0A:Clinical/Fellowship, 16:u13:wt_rs_109030, 16:u03:WT_RS_109030, 18:u07:(/WT_RS_109030, @@ -144909,28 +153564,21 @@ 23:u09:Protein/Engineering, 23:u08:Protein/Engineering, 23:u09:Engineering/Network, -11:u06:Centres, 23:u07:Protein/Engineering, 23:u08:Engineering/Network, -11:u05:Centres, 23:u07:Engineering/Network, 14:u09:of/Centres, 23:u0A:Protein/Engineering, -11:u04:Centres, 14:u08:of/Centres, 14:u09:Centres/of, 23:u0A:Engineering/Network, -11:u03:Centres, 14:u07:of/Centres, 14:u08:Centres/of, -11:u02:Centres, 14:u07:Centres/of, 16:u09:Excellence/,, 14:u0A:of/Centres, -11:u01:Centres, 16:u08:Excellence/,, 14:u0A:Centres/of, -11:u00:Centres, 16:u07:Excellence/,, 16:u0A:Excellence/,, 7:u06:CBD, @@ -145291,8 +153939,6 @@ 11:u14:therese, 7:u22:Wac, 8:u23:Wach, -6:u31:dt, -7:u32:ldt, 8:u33:eldt, 9:u00:Eddie, 15:u02:Wachenfeldt, @@ -145497,7 +154143,6 @@ 16:u08:Hillebrand/,, 16:u0A:thank/Helmut, 14:u12:hillebrand, -8:u23:Hill, 14:u02:Hillebrand, 11:u06:Giorgio, 16:u07:Hillebrand/,, @@ -145810,24 +154455,19 @@ 15:u05:initiatives, 11:u08:all/our, 19:u09:our/initiatives, -15:u14:initiatives, 15:u04:initiatives, 11:u07:all/our, 19:u08:our/initiatives, 17:u09:initiatives/., -15:u13:initiatives, 15:u03:initiatives, 19:u07:our/initiatives, 17:u08:initiatives/., 11:u0A:all/our, -15:u12:initiatives, 15:u02:initiatives, 17:u07:initiatives/., 19:u0A:our/initiatives, -15:u11:initiatives, 15:u01:initiatives, 17:u0A:initiatives/., -15:u10:initiatives, 15:u00:initiatives, 25:u09:recognize/Universidad, 25:u08:recognize/Universidad, @@ -145919,38 +154559,26 @@ 14:u07:Finally/we, 14:u0A:Finally/we, 18:u09:those/students, -11:u06:offered, 18:u08:those/students, 17:u09:students/that, -11:u05:offered, 18:u07:those/students, 17:u08:students/that, 16:u09:that/offered, -11:u14:offered, -11:u04:offered, 17:u07:students/that, 16:u08:that/offered, 17:u09:offered/their, 18:u0A:those/students, -11:u13:offered, -11:u03:offered, 16:u07:that/offered, 17:u08:offered/their, 14:u09:their/time, 17:u0A:students/that, -11:u12:offered, -11:u02:offered, 17:u07:offered/their, 14:u08:their/time, 12:u09:time/for, 16:u0A:that/offered, -11:u11:offered, -11:u01:offered, 14:u07:their/time, 12:u08:time/for, 17:u0A:offered/their, -11:u10:offered, -11:u00:offered, 13:u06:abstracts, 12:u07:time/for, 14:u0A:their/time, @@ -146282,7 +154910,6 @@ 18:u07:their/detailed, 16:u08:detailed/and, 12:u12:detailed, -8:u23:deta, 12:u02:detailed, 16:u07:detailed/and, 25:u09:constructive/guidance, @@ -148398,7 +157025,6 @@ 12:u10:ai044639, 12:u12:ai070383, 8:u23:AI07, -7:u32:383, 8:u33:0383, 12:u00:AI044639, 12:u02:AI070383, @@ -148840,7 +157466,6 @@ 10:u11:shimon, 11:u12:edelman, 14:u14:productive, -7:u22:Ede, 8:u23:Edel, 10:u01:Shimon, 11:u02:Edelman, @@ -149806,7 +158431,6 @@ 12:u09:for/2001, 13:u0A:John/Snow, 8:u11:snow, -7:u22:Lec, 8:u23:Lect, 8:u01:Snow, 11:u02:Lecture, @@ -150114,8 +158738,6 @@ 11:u0A:,/Raija, 9:u11:raija, 14:u12:savolainen, -7:u22:Sav, -8:u23:Savo, 9:u01:Raija, 14:u02:Savolainen, 8:u05:Nina, @@ -150645,7 +159267,6 @@ 8:u11:elsa, 9:u12:brune, 10:u14:lucien, -7:u32:une, 8:u33:rune, 8:u01:Elsa, 9:u02:Brune, @@ -150749,7 +159370,6 @@ 12:u12:delphine, 11:u14:guibert, 8:u23:Delp, -8:u33:hine, 12:u00:Courtois, 12:u02:Delphine, 6:u03:De, @@ -150905,7 +159525,6 @@ 10:u01:Felard, 9:u03:Fanny, 10:u04:Gohars, -12:u06:Samantha, 11:u07:,/Fanny, 16:u08:Fanny/Gohars, 12:u09:Gohars/,, @@ -150919,57 +159538,43 @@ 10:u00:Felard, 9:u02:Fanny, 10:u03:Gohars, -12:u05:Samantha, 12:u06:Guimaron, 16:u07:Fanny/Gohars, 12:u08:Gohars/,, -14:u09:,/Samantha, 11:u0A:,/Fanny, 9:u11:fanny, 10:u12:gohars, -12:u14:samantha, 7:u22:Goh, 8:u23:Goha, 8:u33:hars, 9:u01:Fanny, 10:u02:Gohars, -12:u04:Samantha, 12:u05:Guimaron, 12:u07:Gohars/,, -14:u08:,/Samantha, 21:u09:Samantha/Guimaron, 16:u0A:Fanny/Gohars, 9:u10:fanny, 10:u11:gohars, -12:u13:samantha, 12:u14:guimaron, 9:u00:Fanny, 10:u01:Gohars, -12:u03:Samantha, 12:u04:Guimaron, 11:u06:Morgane, -14:u07:,/Samantha, 21:u08:Samantha/Guimaron, 14:u09:Guimaron/,, 12:u0A:Gohars/,, 10:u10:gohars, -12:u12:samantha, 12:u13:guimaron, -8:u33:ntha, 10:u00:Gohars, -12:u02:Samantha, 12:u03:Guimaron, 11:u05:Morgane, 12:u06:Hamouric, 21:u07:Samantha/Guimaron, 14:u08:Guimaron/,, 13:u09:,/Morgane, -14:u0A:,/Samantha, -12:u11:samantha, 12:u12:guimaron, 11:u14:morgane, 8:u23:Guim, -12:u01:Samantha, 12:u02:Guimaron, 11:u04:Morgane, 12:u05:Hamouric, @@ -150977,11 +159582,9 @@ 13:u08:,/Morgane, 20:u09:Morgane/Hamouric, 21:u0A:Samantha/Guimaron, -12:u10:samantha, 12:u11:guimaron, 11:u13:morgane, 12:u14:hamouric, -12:u00:Samantha, 12:u01:Guimaron, 11:u03:Morgane, 12:u04:Hamouric, @@ -151033,7 +159636,6 @@ 12:u10:hamouric, 10:u12:aurore, 12:u13:lamberet, -7:u22:Aur, 8:u23:Auro, 8:u33:rore, 12:u00:Hamouric, @@ -151139,7 +159741,6 @@ 19:u0A:Raphaël/Leroux, 12:u10:raphaël, 10:u11:leroux, -6:u14:le, 12:u00:Raphaël, 10:u01:Leroux, 6:u04:Le, @@ -151148,7 +159749,6 @@ 13:u09:Le/Texier, 12:u0A:Leroux/,, 10:u10:leroux, -6:u13:le, 10:u14:texier, 10:u00:Leroux, 6:u03:Le, @@ -151157,7 +159757,6 @@ 17:u07:Sébastien/Le, 13:u08:Le/Texier, 12:u09:Texier/,, -6:u12:le, 10:u13:texier, 6:u22:Le, 6:u23:Le, @@ -151171,7 +159770,6 @@ 12:u08:Texier/,, 11:u09:,/Andre, 17:u0A:Sébastien/Le, -6:u11:le, 10:u12:texier, 9:u14:andre, 8:u23:Texi, @@ -151183,7 +159781,6 @@ 11:u08:,/Andre, 16:u09:Andre/Madrid, 13:u0A:Le/Texier, -6:u10:le, 10:u11:texier, 9:u13:andre, 6:u00:Le, @@ -151319,7 +159916,6 @@ 13:u01:Rosenblum, 12:u03:Hélène, 10:u04:Spriet, -12:u06:Philippe, 14:u07:,/Hélène, 19:u08:Hélène/Spriet, 12:u09:Spriet/,, @@ -151335,7 +159931,6 @@ 13:u00:Rosenblum, 12:u02:Hélène, 10:u03:Spriet, -12:u05:Philippe, 11:u06:Taillet, 19:u07:Hélène/Spriet, 12:u08:Spriet/,, @@ -151343,12 +159938,10 @@ 14:u0A:,/Hélène, 12:u11:hélène, 10:u12:spriet, -12:u14:philippe, 7:u32:iet, 8:u33:riet, 12:u01:Hélène, 10:u02:Spriet, -12:u04:Philippe, 11:u05:Taillet, 12:u07:Spriet/,, 14:u08:,/Philippe, @@ -151356,39 +159949,30 @@ 19:u0A:Hélène/Spriet, 12:u10:hélène, 10:u11:spriet, -12:u13:philippe, 11:u14:taillet, 12:u00:Hélène, 10:u01:Spriet, -12:u03:Philippe, 11:u04:Taillet, 14:u07:,/Philippe, 20:u08:Philippe/Taillet, 13:u09:Taillet/,, 12:u0A:Spriet/,, 10:u10:spriet, -12:u12:philippe, 11:u13:taillet, -8:u33:ippe, 10:u00:Spriet, -12:u02:Philippe, 11:u03:Taillet, 20:u07:Philippe/Taillet, 13:u08:Taillet/,, 14:u0A:,/Philippe, -12:u11:philippe, 11:u12:taillet, 8:u23:Tail, 7:u32:let, 8:u33:llet, -12:u01:Philippe, 11:u02:Taillet, 13:u07:Taillet/,, 18:u09:Xavier/Taillet, 20:u0A:Philippe/Taillet, -12:u10:philippe, 11:u11:taillet, -12:u00:Philippe, 11:u01:Taillet, 13:u06:assessing, 18:u08:Xavier/Taillet, @@ -152035,7 +160619,6 @@ 12:u09:Bieler/,, 11:u12:rudiger, 10:u13:bieler, -7:u22:Rud, 8:u23:Rudi, 11:u02:Rudiger, 10:u03:Bieler, @@ -152698,7 +161281,6 @@ 9:u0A:;/Dan, 10:u12:freiss, 8:u23:Frei, -8:u33:eiss, 10:u02:Freiss, 12:u05:mangrove, 13:u07:Freiss/of, @@ -152903,8 +161485,6 @@ 17:u0A:Engineer/from, 12:u10:engineer, 12:u12:majorbio, -7:u22:Maj, -8:u23:Majo, 8:u33:rbio, 12:u00:Engineer, 12:u02:Majorbio, @@ -153594,7 +162174,6 @@ 10:u10:relief, 7:u12:pep, 7:u14:far, -7:u22:PEP, 7:u23:PEP, 7:u32:PEP, 7:u33:PEP, @@ -154647,13 +163226,9 @@ 14:u07:his/useful, 17:u09:advice/during, 17:u08:advice/during, -15:u09:during/this, 14:u0A:his/useful, 17:u07:advice/during, -15:u08:during/this, -15:u07:during/this, 17:u0A:advice/during, -15:u0A:during/this, 23:u09:National/Genotyping, 23:u08:National/Genotyping, 21:u09:Genotyping/Center, @@ -154798,19 +163373,15 @@ 10:u01:Europe, 11:u02:Against, 18:u07:Against/Cancer, -15:u09:"/Programme, 18:u0A:Europe/Against, 10:u10:europe, 10:u00:Europe, 11:u01:Against, -15:u08:"/Programme, 16:u09:Programme/of, 18:u0A:Against/Cancer, 11:u00:Against, -15:u07:"/Programme, 16:u08:Programme/of, 16:u07:Programme/of, -15:u0A:"/Programme, 16:u0A:Programme/of, 9:u06:SANCO, 16:u09:Commission/(, @@ -154834,7 +163405,6 @@ 8:u33:ANCO, 9:u02:SANCO, 9:u05:Ligue, -10:u06:contre, 11:u07:SANCO/), 11:u09:;/Ligue, 11:u0A:(/SANCO, @@ -154842,60 +163412,38 @@ 9:u14:ligue, 9:u01:SANCO, 9:u04:Ligue, -10:u05:contre, -6:u06:le, 11:u08:;/Ligue, 16:u09:Ligue/contre, 11:u0A:SANCO/), 9:u10:sanco, 9:u13:ligue, -10:u14:contre, 9:u00:SANCO, 9:u03:Ligue, -10:u04:contre, -6:u05:le, 11:u07:;/Ligue, 16:u08:Ligue/contre, 13:u09:contre/le, 9:u12:ligue, -10:u13:contre, 8:u23:Ligu, 7:u32:gue, 8:u33:igue, 9:u02:Ligue, -10:u03:contre, -6:u04:le, 16:u07:Ligue/contre, 13:u08:contre/le, 13:u09:le/Cancer, 11:u0A:;/Ligue, 9:u11:ligue, -10:u12:contre, 9:u01:Ligue, -10:u02:contre, -6:u03:le, 13:u07:contre/le, 13:u08:le/Cancer, 12:u09:Cancer/(, 16:u0A:Ligue/contre, 9:u10:ligue, -10:u11:contre, -6:u22:le, -6:u23:le, -6:u32:le, -6:u33:le, 9:u00:Ligue, -10:u01:contre, -6:u02:le, 13:u07:le/Cancer, 12:u08:Cancer/(, 13:u0A:contre/le, -10:u10:contre, -10:u00:contre, -6:u01:le, 12:u07:Cancer/(, 13:u0A:le/Cancer, -6:u00:le, 13:u06:Société, 12:u0A:Cancer/(, 13:u05:Société, @@ -154943,47 +163491,27 @@ 6:u10:3m, 6:u00:3M, 12:u05:Mutuelle, -14:u06:Générale, 14:u09:;/Mutuelle, 12:u14:mutuelle, 12:u04:Mutuelle, -14:u05:Générale, 14:u08:;/Mutuelle, 23:u09:Mutuelle/Générale, 12:u13:mutuelle, -14:u14:générale, 12:u03:Mutuelle, -14:u04:Générale, 14:u07:;/Mutuelle, 23:u08:Mutuelle/Générale, -17:u09:Générale/de, 12:u12:mutuelle, -14:u13:générale, 7:u22:Mut, 8:u23:Mutu, 12:u02:Mutuelle, -14:u03:Générale, 23:u07:Mutuelle/Générale, -17:u08:Générale/de, 14:u0A:;/Mutuelle, 12:u11:mutuelle, -14:u12:générale, -7:u21:Gé, -8:u22:Gén, -10:u23:Géné, -8:u33:rale, 12:u01:Mutuelle, -14:u02:Générale, -17:u07:Générale/de, 23:u0A:Mutuelle/Générale, 12:u10:mutuelle, -14:u11:générale, 12:u00:Mutuelle, -14:u01:Générale, 15:u09:'/Education, -17:u0A:Générale/de, -14:u10:générale, -14:u00:Générale, 15:u08:'/Education, 23:u09:Education/Nationale, 15:u07:'/Education, @@ -155074,7 +163602,6 @@ 14:u0A:library/of, 9:u12:small, 15:u14:planthopper, -6:u21:sm, 7:u22:sma, 8:u23:smal, 8:u33:mall, @@ -155226,15 +163753,11 @@ 24:u08:language/suggestions, 24:u07:language/suggestions, 24:u0A:language/suggestions, -17:u09:the/Strategic, -17:u08:the/Strategic, 22:u09:Strategic/Priority, -17:u07:the/Strategic, 22:u08:Strategic/Priority, 17:u09:Priority/_x+1, 22:u07:Strategic/Priority, 17:u08:Priority/_x+1, -17:u0A:the/Strategic, 13:u06:Rosenfeld, 13:u05:Rosenfeld, 15:u09:./Rosenfeld, @@ -156196,19 +164719,16 @@ 15:u01:workstation, 11:u02:cluster, 14:u07:cluster/at, -16:u09:the/Institut, 23:u0A:workstation/cluster, 15:u10:workstation, 15:u00:workstation, 11:u01:cluster, 16:u06:Theoretische, -16:u08:the/Institut, 17:u09:Institut/für, 14:u0A:cluster/at, 11:u00:cluster, 16:u05:Theoretische, 10:u06:Physik, -16:u07:the/Institut, 17:u08:Institut/für, 21:u09:für/Theoretische, 16:u14:theoretische, @@ -156217,7 +164737,6 @@ 17:u07:Institut/für, 21:u08:für/Theoretische, 23:u09:Theoretische/Physik, -16:u0A:the/Institut, 16:u13:theoretische, 10:u14:physik, 16:u03:Theoretische, @@ -156301,7 +164820,6 @@ 16:u07:./Jungsbluth, 18:u08:Jungsbluth/for, 14:u12:jungsbluth, -8:u23:Jung, 8:u33:luth, 14:u02:Jungsbluth, 11:u05:remarks, @@ -156726,49 +165244,37 @@ 15:u0A:samples/for, 11:u08:study/(, 9:u09:(/all, -10:u06:listed, 11:u07:study/(, 9:u08:(/all, 11:u09:all/are, -10:u05:listed, 9:u07:(/all, 11:u08:all/are, 14:u09:are/listed, 11:u0A:study/(, -10:u14:listed, -10:u04:listed, 9:u06:Table, 11:u07:all/are, 14:u08:are/listed, 13:u09:listed/in, 9:u0A:(/all, -10:u13:listed, -10:u03:listed, 9:u05:Table, 14:u07:are/listed, 13:u08:listed/in, 12:u09:in/Table, 11:u0A:all/are, -10:u12:listed, 9:u14:table, -10:u02:listed, 9:u04:Table, 13:u07:listed/in, 12:u08:in/Table, 12:u09:Table/S1, 14:u0A:are/listed, -10:u11:listed, 9:u13:table, -10:u01:listed, 9:u03:Table, 12:u07:in/Table, 12:u08:Table/S1, 8:u09:S1/), 13:u0A:listed/in, -10:u10:listed, 9:u12:table, 8:u23:Tabl, -10:u00:listed, 9:u02:Table, 12:u07:Table/S1, 8:u08:S1/), @@ -157046,7 +165552,6 @@ 10:u08:Farb/,, 12:u0A:,/Sharon, 8:u12:farb, -6:u31:rb, 7:u32:arb, 8:u33:Farb, 8:u02:Farb, @@ -157833,29 +166338,17 @@ 12:u0A:Odisha/,, 10:u10:odisha, 10:u00:Odisha, -13:u06:necessary, -13:u05:necessary, 17:u09:the/necessary, -13:u14:necessary, -13:u04:necessary, 17:u08:the/necessary, 24:u09:necessary/facilities, -13:u13:necessary, -13:u03:necessary, 17:u07:the/necessary, 24:u08:necessary/facilities, 17:u09:facilities/to, -13:u12:necessary, -13:u02:necessary, 24:u07:necessary/facilities, 17:u08:facilities/to, 17:u0A:the/necessary, -13:u11:necessary, -13:u01:necessary, 17:u07:facilities/to, 24:u0A:necessary/facilities, -13:u10:necessary, -13:u00:necessary, 12:u09:out/this, 17:u0A:facilities/to, 12:u08:out/this, @@ -158724,23 +167217,19 @@ 10:u01:follow, 13:u06:beginning, 11:u07:up/from, -12:u09:the/very, 13:u0A:follow/up, 10:u00:follow, 13:u05:beginning, -12:u08:the/very, 18:u09:very/beginning, 11:u0A:up/from, 13:u14:beginning, 13:u04:beginning, -12:u07:the/very, 18:u08:very/beginning, 16:u09:beginning/of, 13:u13:beginning, 13:u03:beginning, 18:u07:very/beginning, 16:u08:beginning/of, -12:u0A:the/very, 13:u12:beginning, 7:u22:beg, 8:u23:begi, @@ -158994,13 +167483,9 @@ 26:u07:Scholarship/Foundation, 21:u0A:State/Scholarship, 26:u0A:Scholarship/Foundation, -14:u09:support/to, -14:u08:support/to, -14:u07:support/to, 14:u09:the/second, 14:u08:the/second, 17:u09:second/author, -14:u0A:support/to, 14:u07:the/second, 17:u08:second/author, 12:u09:author/C, @@ -159290,29 +167775,17 @@ 20:u0A:./2015A030311050, 18:u11:2015a030311050, 18:u01:2015A030311050, -11:u06:finance, 20:u0A:2015A030311050/), 18:u10:2015a030311050, 18:u00:2015A030311050, -11:u05:finance, 15:u09:the/finance, -11:u14:finance, -11:u04:finance, 15:u08:the/finance, 19:u09:finance/support, -11:u13:finance, -11:u03:finance, 15:u07:the/finance, 19:u08:finance/support, -11:u12:finance, -11:u02:finance, 19:u07:finance/support, 15:u0A:the/finance, -11:u11:finance, -11:u01:finance, 19:u0A:finance/support, -11:u10:finance, -11:u00:finance, 13:u06:Principal, 13:u05:Principal, 17:u09:the/Principal, @@ -159568,18 +168041,14 @@ 10:u11:crc701, 17:u09:the/expertise, 17:u08:the/expertise, -16:u09:expertise/of, 17:u07:the/expertise, -16:u08:expertise/of, 8:u09:of/K, 9:u06:Molin, -16:u07:expertise/of, 8:u08:of/K, 17:u0A:the/expertise, 9:u05:Molin, 8:u07:of/K, 11:u09:./Molin, -16:u0A:expertise/of, 9:u14:molin, 9:u04:Molin, 11:u08:./Molin, @@ -160512,7 +168981,6 @@ 10:u07:(/IDRC, 10:u08:IDRC/), 8:u12:idrc, -7:u22:IDR, 8:u23:IDRC, 7:u32:DRC, 8:u33:IDRC, @@ -161040,11 +169508,7 @@ 13:u08:Pasteur/,, 14:u0A:(/Institut, 13:u07:Pasteur/,, -11:u09:Paris/,, -11:u08:Paris/,, 13:u0A:Pasteur/,, -11:u07:Paris/,, -11:u0A:Paris/,, 10:u06:Cyster, 10:u05:Cyster, 12:u09:./Cyster, @@ -161546,47 +170010,28 @@ 13:u07:permits/., 16:u0A:with/permits, 13:u0A:permits/., -13:u06:computing, -13:u05:computing, 17:u09:the/computing, -13:u04:computing, -11:u06:granted, 17:u08:the/computing, 18:u09:computing/time, -13:u03:computing, -11:u05:granted, 17:u07:the/computing, 18:u08:computing/time, 16:u09:time/granted, -11:u14:granted, -13:u02:computing, -11:u04:granted, 18:u07:computing/time, 16:u08:time/granted, 14:u09:granted/on, 17:u0A:the/computing, -11:u13:granted, -13:u01:computing, -11:u03:granted, 16:u07:time/granted, 14:u08:granted/on, 18:u0A:computing/time, -11:u12:granted, -13:u00:computing, -11:u02:granted, 9:u06:Mogon, 14:u07:granted/on, 21:u09:the/supercomputer, 16:u0A:time/granted, -11:u11:granted, -11:u01:granted, 9:u05:Mogon, 21:u08:the/supercomputer, 23:u09:supercomputer/Mogon, 14:u0A:granted/on, -11:u10:granted, 9:u14:mogon, -11:u00:granted, 9:u04:Mogon, 21:u07:the/supercomputer, 23:u08:supercomputer/Mogon, @@ -161627,18 +170072,15 @@ 7:u06:hpc, 7:u05:hpc, 9:u09://hpc, -7:u14:hpc, 7:u04:hpc, 7:u06:uni, 9:u08://hpc, 9:u09:hpc/., -7:u13:hpc, 7:u03:hpc, 7:u05:uni, 9:u07://hpc, 9:u08:hpc/., 9:u09:./uni, -7:u12:hpc, 7:u14:uni, 6:u21:hp, 7:u22:hpc, @@ -161653,7 +170095,6 @@ 9:u08:./uni, 9:u09:uni/-, 9:u0A://hpc, -7:u11:hpc, 7:u13:uni, 7:u01:hpc, 7:u03:uni, @@ -161662,7 +170103,6 @@ 9:u08:uni/-, 11:u09:-/mainz, 9:u0A:hpc/., -7:u10:hpc, 7:u12:uni, 7:u23:uni, 7:u32:uni, @@ -161692,45 +170132,29 @@ 9:u00:mainz, 8:u07:de//, 8:u0A:de//, -7:u06:Ivo, -7:u05:Ivo, 12:u06:Lieberam, 9:u09:./Ivo, -7:u14:ivo, -7:u04:Ivo, 12:u05:Lieberam, 9:u08:./Ivo, 16:u09:Ivo/Lieberam, -7:u13:ivo, 12:u14:lieberam, -7:u03:Ivo, 12:u04:Lieberam, 9:u07:./Ivo, 16:u08:Ivo/Lieberam, 16:u09:Lieberam/for, -7:u12:ivo, 12:u13:lieberam, -7:u22:Ivo, -7:u23:Ivo, -7:u32:Ivo, -7:u33:Ivo, -7:u02:Ivo, 12:u03:Lieberam, 16:u07:Ivo/Lieberam, 16:u08:Lieberam/for, 9:u0A:./Ivo, -7:u11:ivo, 12:u12:lieberam, 7:u22:Lie, 8:u23:Lieb, 8:u33:eram, -7:u01:Ivo, 12:u02:Lieberam, 16:u07:Lieberam/for, 16:u0A:Ivo/Lieberam, -7:u10:ivo, 12:u11:lieberam, -7:u00:Ivo, 12:u01:Lieberam, 16:u0A:Lieberam/for, 12:u10:lieberam, @@ -161894,8 +170318,6 @@ 20:u09:Sisulu/Executive, 13:u12:albertina, 10:u13:sisulu, -7:u22:Alb, -8:u23:Albe, 13:u02:Albertina, 10:u03:Sisulu, 14:u05:Leadership, @@ -162680,7 +171102,6 @@ 16:u13:lyubashevsky, 7:u22:Vad, 8:u23:Vadi, -7:u32:dim, 8:u33:adim, 9:u02:Vadim, 16:u03:Lyubashevsky, @@ -163569,7 +171990,6 @@ 18:u0A:Almighty/Allah, 12:u10:almighty, 9:u11:allah, -9:u14:grace, 12:u00:Almighty, 9:u01:Allah, 9:u04:grace, @@ -163579,7 +171999,6 @@ 13:u09:grace/and, 11:u0A:Allah/;, 9:u10:allah, -9:u13:grace, 9:u00:Allah, 9:u03:grace, 11:u05:blessed, @@ -163587,7 +172006,6 @@ 13:u08:grace/and, 15:u09:and/blessed, 11:u0A:;/whose, -9:u12:grace, 11:u14:blessed, 9:u02:grace, 11:u04:blessed, @@ -163595,7 +172013,6 @@ 15:u08:and/blessed, 17:u09:blessed/mercy, 15:u0A:whose/grace, -9:u11:grace, 11:u13:blessed, 9:u01:grace, 11:u03:blessed, @@ -163603,7 +172020,6 @@ 17:u08:blessed/mercy, 17:u09:mercy/enabled, 13:u0A:grace/and, -9:u10:grace, 11:u12:blessed, 7:u22:ble, 8:u23:bles, @@ -163800,7 +172216,6 @@ 8:u06:want, 8:u05:want, 13:u09:also/want, -10:u0A:work/., 8:u14:want, 13:u08:also/want, 13:u07:also/want, @@ -164560,15 +172975,11 @@ 8:u11:beat, 8:u01:Beat, 12:u08:./Michel, -14:u09:Michel/for, 10:u0A:Beat/A, 8:u10:beat, 8:u00:Beat, 12:u07:./Michel, -14:u08:Michel/for, -14:u07:Michel/for, 12:u0A:./Michel, -14:u0A:Michel/for, 15:u06:R01CA136933, 19:u09:Institute/grant, 15:u05:R01CA136933, @@ -166237,7 +174648,6 @@ 10:u0A:by/Ali, 9:u12:sebbi, 8:u23:Sebb, -7:u32:bbi, 8:u33:ebbi, 9:u02:Sebbi, 11:u06:Officer, @@ -167873,7 +176283,6 @@ 14:u0A:Nathan/and, 10:u12:isabel, 10:u13:miller, -8:u23:Isab, 8:u33:abel, 10:u02:Isabel, 10:u03:Miller, @@ -167994,7 +176403,6 @@ 16:u07:R01/CA161283, 14:u08:CA161283/-, 12:u12:ca161283, -8:u23:CA16, 7:u32:283, 8:u33:1283, 12:u02:CA161283, @@ -168030,45 +176438,31 @@ 12:u00:81372446, 14:u08:National/S, 7:u09:S/&, -9:u06:Major, 14:u07:National/S, 7:u08:S/&, 7:u09:&/T, -9:u05:Major, 7:u07:S/&, 7:u08:&/T, 11:u09:T/Major, 14:u0A:National/S, -9:u14:major, -9:u04:Major, 7:u07:&/T, 11:u08:T/Major, 17:u09:Major/Project, 7:u0A:S/&, -9:u13:major, -9:u03:Major, 15:u06:2011ZX09102, 11:u07:T/Major, 17:u08:Major/Project, 7:u0A:&/T, -9:u12:major, -7:u32:jor, -8:u33:ajor, -9:u02:Major, 15:u05:2011ZX09102, 17:u07:Major/Project, 17:u09:(/2011ZX09102, 11:u0A:T/Major, -9:u11:major, 15:u14:2011zx09102, -9:u01:Major, 15:u04:2011ZX09102, 17:u08:(/2011ZX09102, 17:u09:2011ZX09102/-, 17:u0A:Major/Project, -9:u10:major, 15:u13:2011zx09102, -9:u00:Major, 15:u03:2011ZX09102, 17:u07:(/2011ZX09102, 17:u08:2011ZX09102/-, @@ -168119,7 +176513,6 @@ 14:u07:_x-1/Joint, 24:u08:Joint/Acknowledgment, 20:u09:Acknowledgment//, -18:u13:acknowledgment, 7:u22:Joi, 8:u23:Join, 9:u02:Joint, @@ -168334,52 +176727,39 @@ 15:u10:disclaimers, 15:u00:Disclaimers, 9:u05:Achim, -11:u06:Stephan, 15:u09:thank/Achim, 9:u14:achim, 9:u04:Achim, -11:u05:Stephan, 15:u08:thank/Achim, 17:u09:Achim/Stephan, 9:u13:achim, -11:u14:stephan, 9:u03:Achim, -11:u04:Stephan, 15:u07:thank/Achim, 17:u08:Achim/Stephan, 13:u09:Stephan/,, 9:u12:achim, -11:u13:stephan, 7:u22:Ach, 8:u23:Achi, 8:u33:chim, 9:u02:Achim, -11:u03:Stephan, 12:u06:Wittmann, 17:u07:Achim/Stephan, 13:u08:Stephan/,, 15:u0A:thank/Achim, 9:u11:achim, -11:u12:stephan, -8:u33:phan, 9:u01:Achim, -11:u02:Stephan, 12:u05:Wittmann, 13:u07:Stephan/,, 19:u09:Andrea/Wittmann, 17:u0A:Achim/Stephan, 9:u10:achim, -11:u11:stephan, 12:u14:wittmann, 9:u00:Achim, -11:u01:Stephan, 12:u04:Wittmann, 19:u08:Andrea/Wittmann, 14:u09:Wittmann/,, 13:u0A:Stephan/,, -11:u10:stephan, 12:u13:wittmann, -11:u00:Stephan, 12:u03:Wittmann, 8:u06:Mack, 19:u07:Andrea/Wittmann, @@ -168657,37 +177037,30 @@ 13:u00:according, 23:u07:the/recommendations, 22:u08:recommendations/by, -14:u06:consortium, 22:u07:recommendations/by, 23:u0A:the/recommendations, -14:u05:consortium, 23:u09:European/consortium, 22:u0A:recommendations/by, -14:u04:consortium, 14:u06:Systematic, 23:u08:European/consortium, 16:u09:consortium/", -14:u03:consortium, 14:u05:Systematic, 23:u07:European/consortium, 16:u08:consortium/", 16:u09:"/Systematic, 14:u14:systematic, -14:u02:consortium, 14:u04:Systematic, 16:u07:consortium/", 16:u08:"/Systematic, 25:u09:Systematic/Evaluation, 23:u0A:European/consortium, 14:u13:systematic, -14:u01:consortium, 14:u03:Systematic, 16:u07:"/Systematic, 25:u08:Systematic/Evaluation, 17:u09:Evaluation/of, 16:u0A:consortium/", 14:u12:systematic, -14:u00:consortium, 14:u02:Systematic, 10:u06:ground, 25:u07:Systematic/Evaluation, @@ -168758,7 +177131,6 @@ 11:u0A:micro/-, 9:u10:micro, 11:u13:gravity, -14:u14:simulation, 9:u00:micro, 11:u03:gravity, 14:u04:simulation, @@ -168768,7 +177140,6 @@ 24:u09:simulation/paradigms, 7:u0A:-/), 11:u12:gravity, -14:u13:simulation, 13:u14:paradigms, 8:u23:grav, 11:u02:gravity, @@ -168779,7 +177150,6 @@ 23:u09:paradigms/available, 13:u0A:)/gravity, 11:u11:gravity, -14:u12:simulation, 13:u13:paradigms, 11:u01:gravity, 14:u02:simulation, @@ -168789,7 +177159,6 @@ 16:u09:available/in, 22:u0A:gravity/simulation, 11:u10:gravity, -14:u11:simulation, 13:u12:paradigms, 7:u32:gms, 8:u33:igms, @@ -168800,7 +177169,6 @@ 16:u08:available/in, 13:u09:in/Europe, 24:u0A:simulation/paradigms, -14:u10:simulation, 13:u11:paradigms, 14:u00:simulation, 13:u01:paradigms, @@ -169102,20 +177470,15 @@ 14:u03:alphabetic, 17:u07:in/alphabetic, 20:u08:alphabetic/order, -11:u09:order/), 14:u12:alphabetic, -7:u22:alp, -8:u23:alph, 14:u02:alphabetic, 12:u06:Christen, 20:u07:alphabetic/order, -11:u08:order/), 12:u09:)/Miriam, 17:u0A:in/alphabetic, 14:u11:alphabetic, 14:u01:alphabetic, 12:u05:Christen, -11:u07:order/), 12:u08:)/Miriam, 19:u09:Miriam/Christen, 20:u0A:alphabetic/order, @@ -169126,7 +177489,6 @@ 12:u07:)/Miriam, 19:u08:Miriam/Christen, 14:u09:Christen/,, -11:u0A:order/), 12:u13:christen, 12:u03:Christen, 19:u07:Miriam/Christen, @@ -170100,7 +178462,6 @@ 9:u13:mateu, 7:u22:Joa, 8:u23:Joaq, -7:u32:uin, 8:u33:quin, 11:u02:Joaquin, 9:u03:Mateu, @@ -170331,7 +178692,6 @@ 15:u09:Naturelle/,, 12:u12:histoire, 13:u13:naturelle, -8:u33:oire, 12:u02:Histoire, 13:u03:Naturelle, 22:u07:Histoire/Naturelle, @@ -171163,37 +179523,24 @@ 16:u0A:Tanzania/for, 12:u10:tanzania, 12:u00:Tanzania, -9:u06:teams, -9:u05:teams, 15:u09:study/teams, -9:u14:teams, -9:u04:teams, 15:u08:study/teams, 12:u09:teams/in, -9:u13:teams, -9:u03:teams, 15:u07:study/teams, 12:u08:teams/in, 15:u09:in/Tanzania, -9:u12:teams, -8:u33:eams, -9:u02:teams, 10:u06:Celine, 12:u07:teams/in, 15:u08:in/Tanzania, 14:u09:Tanzania/(, 15:u0A:study/teams, -9:u11:teams, -9:u01:teams, 10:u05:Celine, 11:u06:Mandara, 15:u07:in/Tanzania, 14:u08:Tanzania/(, 12:u09:(/Celine, 12:u0A:teams/in, -9:u10:teams, 10:u14:celine, -9:u00:teams, 10:u04:Celine, 11:u05:Mandara, 14:u07:Tanzania/(, @@ -172021,8 +180368,6 @@ 17:u07:Research/Link, 14:u08:Link/Grant, 8:u12:link, -7:u32:ink, -8:u33:Link, 8:u02:Link, 14:u07:Link/Grant, 17:u0A:Research/Link, @@ -172478,7 +180823,6 @@ 12:u09:Curtis/,, 8:u12:eric, 10:u13:curtis, -7:u22:Eri, 8:u23:Eric, 8:u33:Eric, 8:u02:Eric, @@ -172799,7 +181143,6 @@ 12:u10:beaumont, 7:u12:wan, 7:u13:yui, -7:u14:see, 7:u23:Wan, 7:u32:Wan, 7:u33:Wan, @@ -172813,7 +181156,6 @@ 11:u0A:and/Wan, 7:u11:wan, 7:u12:yui, -7:u13:see, 7:u22:Yui, 7:u23:Yui, 7:u32:Yui, @@ -172826,7 +181168,6 @@ 11:u0A:Wan/Yui, 7:u10:wan, 7:u11:yui, -7:u12:see, 7:u23:See, 7:u32:See, 7:u33:See, @@ -172836,20 +181177,14 @@ 11:u07:See/for, 11:u0A:Yui/See, 7:u10:yui, -7:u11:see, 7:u00:Yui, 7:u01:See, 11:u0A:See/for, -7:u10:see, 7:u00:See, 14:u09:in/running, 14:u08:in/running, -15:u09:running/the, 14:u07:in/running, -15:u08:running/the, -15:u07:running/the, 14:u0A:in/running, -15:u0A:running/the, 18:u09:for/Innovative, 18:u08:for/Innovative, 28:u09:Innovative/Collaborative, @@ -173115,8 +181450,6 @@ 19:u07:the/fabrication, 18:u08:fabrication/of, 15:u12:fabrication, -7:u22:fab, -8:u23:fabr, 15:u02:fabrication, 18:u07:fabrication/of, 19:u0A:the/fabrication, @@ -173199,21 +181532,18 @@ 18:u03:Transformation, 31:u07:achievements/Transformation, 26:u08:Transformation/Project, -15:u09:Project/for, 22:u0A:Major/achievements, 16:u11:achievements, 18:u12:transformation, 16:u01:achievements, 18:u02:Transformation, 26:u07:Transformation/Project, -15:u08:Project/for, 15:u09:for/Central, 31:u0A:achievements/Transformation, 16:u10:achievements, 18:u11:transformation, 16:u00:achievements, 18:u01:Transformation, -15:u07:Project/for, 15:u08:for/Central, 22:u09:Central/University, 26:u0A:Transformation/Project, @@ -173221,7 +181551,6 @@ 18:u00:Transformation, 15:u07:for/Central, 22:u08:Central/University, -15:u0A:Project/for, 22:u07:Central/University, 14:u09:in/Beijing, 15:u0A:for/Central, @@ -173752,14 +182081,11 @@ 16:u07:writing/this, 16:u0A:writing/this, 12:u06:simplify, -14:u09:helping/to, 12:u05:simplify, -14:u08:helping/to, 15:u09:to/simplify, 12:u14:simplify, 12:u04:simplify, 10:u06:proofs, -14:u07:helping/to, 15:u08:to/simplify, 16:u09:simplify/the, 12:u13:simplify, @@ -173768,7 +182094,6 @@ 15:u07:to/simplify, 16:u08:simplify/the, 14:u09:the/proofs, -14:u0A:helping/to, 12:u12:simplify, 10:u14:proofs, 6:u31:fy, @@ -173867,7 +182192,6 @@ 11:u12:adeyemi, 13:u13:olufolabi, 8:u23:Adey, -7:u32:emi, 8:u33:yemi, 11:u02:Adeyemi, 13:u03:Olufolabi, @@ -174229,7 +182553,6 @@ 10:u0A:./Yves, 8:u11:yves, 9:u12:samyn, -8:u23:Samy, 7:u32:myn, 8:u33:amyn, 8:u01:Yves, @@ -174395,45 +182718,33 @@ 11:u0A:RBINS/), 9:u10:rbins, 9:u00:RBINS, -10:u06:Julien, 14:u07:,/Brussels, 14:u08:Brussels/., -10:u05:Julien, 10:u06:Cillis, 14:u07:Brussels/., 13:u09:To/Julien, 14:u0A:,/Brussels, -10:u14:julien, -10:u04:Julien, 10:u05:Cillis, 13:u08:To/Julien, 17:u09:Julien/Cillis, 14:u0A:Brussels/., -10:u13:julien, 10:u14:cillis, -10:u03:Julien, 10:u04:Cillis, 13:u07:To/Julien, 17:u08:Julien/Cillis, 12:u09:Cillis/(, -10:u12:julien, 10:u13:cillis, -10:u02:Julien, 10:u03:Cillis, 17:u07:Julien/Cillis, 12:u08:Cillis/(, 13:u0A:To/Julien, -10:u11:julien, 10:u12:cillis, 7:u22:Cil, 8:u23:Cill, -10:u01:Julien, 10:u02:Cillis, 12:u07:Cillis/(, 17:u0A:Julien/Cillis, -10:u10:julien, 10:u11:cillis, -10:u00:Julien, 10:u01:Cillis, 12:u0A:Cillis/(, 10:u10:cillis, @@ -174733,7 +183044,6 @@ 14:u0A:Veracruz/,, 12:u10:veracruz, 11:u12:méxico, -7:u21:Mé, 8:u22:Méx, 9:u23:Méxi, 12:u00:Veracruz, @@ -175177,7 +183487,6 @@ 22:u07:many/organizations, 19:u08:organizations/., 20:u09:./Acknowledgment, -18:u14:acknowledgment, 19:u07:organizations/., 20:u08:./Acknowledgment, 21:u09:Acknowledgment/is, @@ -175214,67 +183523,36 @@ 12:u0A:,/thanks, 10:u06:Gender, 10:u05:Gender, -11:u06:Working, 14:u09:the/Gender, 10:u14:gender, 10:u04:Gender, -11:u05:Working, -9:u06:Group, 14:u08:the/Gender, 18:u09:Gender/Working, 10:u13:gender, 10:u03:Gender, -11:u04:Working, -9:u05:Group, 14:u07:the/Gender, 18:u08:Gender/Working, -17:u09:Working/Group, 10:u12:gender, 8:u23:Gend, 10:u02:Gender, -11:u03:Working, -9:u04:Group, -7:u06:see, 18:u07:Gender/Working, -17:u08:Working/Group, -11:u09:Group/(, 14:u0A:the/Gender, 10:u11:gender, 10:u01:Gender, -11:u02:Working, -9:u03:Group, -7:u05:see, 12:u06:Appendix, -17:u07:Working/Group, -11:u08:Group/(, 9:u09:(/see, 18:u0A:Gender/Working, 10:u10:gender, -8:u23:Grou, 10:u00:Gender, -11:u01:Working, -9:u02:Group, -7:u04:see, 12:u05:Appendix, -11:u07:Group/(, 9:u08:(/see, 16:u09:see/Appendix, -17:u0A:Working/Group, 12:u14:appendix, -11:u00:Working, -9:u01:Group, -7:u03:see, 12:u04:Appendix, 9:u07:(/see, 16:u08:see/Appendix, 14:u09:Appendix/A, -11:u0A:Group/(, 12:u13:appendix, -7:u23:see, -7:u32:see, -7:u33:see, -9:u00:Group, -7:u02:see, 12:u03:Appendix, 16:u07:see/Appendix, 14:u08:Appendix/A, @@ -175284,13 +183562,11 @@ 8:u23:Appe, 7:u32:dix, 8:u33:ndix, -7:u01:see, 12:u02:Appendix, 14:u07:Appendix/A, 7:u08:A/), 16:u0A:see/Appendix, 12:u11:appendix, -7:u00:see, 12:u01:Appendix, 7:u07:A/), 14:u0A:Appendix/A, @@ -175790,15 +184066,11 @@ 26:u09:Veterinary/Association, 16:u07:s/Veterinary, 26:u08:Veterinary/Association, -17:u09:Association/,, 26:u07:Veterinary/Association, -17:u08:Association/,, 16:u0A:s/Veterinary, -17:u07:Association/,, 26:u0A:Veterinary/Association, 11:u06:Hewlett, 14:u09:Mr/William, -17:u0A:Association/,, 11:u05:Hewlett, 14:u08:Mr/William, 19:u09:William/Hewlett, @@ -175955,14 +184227,10 @@ 22:u0A:World/Organization, 12:u07:of/Women, 12:u08:Women/in, -14:u09:in/Science, 19:u0A:Organization/of, 12:u07:Women/in, -14:u08:in/Science, 12:u0A:of/Women, -14:u07:in/Science, 12:u0A:Women/in, -14:u0A:in/Science, 13:u0A:Science/., 12:u09:due/also, 12:u08:due/also, @@ -176814,52 +185082,18 @@ 11:u10:fenwick, 11:u00:Fenwick, 14:u0A:,/Imperial, -12:u06:purchase, -12:u05:purchase, -16:u09:the/purchase, -12:u14:purchase, -12:u04:purchase, -12:u06:donation, -16:u08:the/purchase, 16:u09:purchase/and, -12:u13:purchase, -12:u03:purchase, -12:u05:donation, -16:u07:the/purchase, 16:u08:purchase/and, 16:u09:and/donation, -12:u12:purchase, -12:u14:donation, -8:u23:purc, -8:u33:hase, -12:u02:purchase, -12:u04:donation, 16:u07:purchase/and, 16:u08:and/donation, -15:u09:donation/of, -16:u0A:the/purchase, -12:u11:purchase, -12:u13:donation, -12:u01:purchase, -12:u03:donation, 16:u07:and/donation, -15:u08:donation/of, 12:u09:of/funds, 16:u0A:purchase/and, -12:u10:purchase, -12:u12:donation, -12:u00:purchase, -12:u02:donation, -15:u07:donation/of, 12:u08:of/funds, 16:u0A:and/donation, -12:u11:donation, -12:u01:donation, 7:u06:SEA, 12:u07:of/funds, -15:u0A:donation/of, -12:u10:donation, -12:u00:donation, 7:u05:SEA, 11:u09:the/SEA, 12:u0A:of/funds, @@ -176872,7 +185106,6 @@ 11:u07:the/SEA, 9:u08:SEA/-, 11:u09:-/ELISA, -9:u14:elisa, 7:u22:SEA, 7:u23:SEA, 7:u32:SEA, @@ -176883,14 +185116,12 @@ 11:u08:-/ELISA, 14:u09:ELISA/kits, 11:u0A:the/SEA, -9:u13:elisa, 7:u01:SEA, 9:u03:ELISA, 11:u07:-/ELISA, 14:u08:ELISA/kits, 10:u09:kits/., 9:u0A:SEA/-, -9:u12:elisa, 7:u22:ELI, 8:u23:ELIS, 7:u32:ISA, @@ -176900,11 +185131,9 @@ 14:u07:ELISA/kits, 10:u08:kits/., 11:u0A:-/ELISA, -9:u11:elisa, 9:u01:ELISA, 10:u07:kits/., 14:u0A:ELISA/kits, -9:u10:elisa, 9:u00:ELISA, 10:u0A:kits/., 15:u06:Butterworth, @@ -178962,7 +187191,6 @@ 23:u08:Cellular/Regulation, 17:u0A:Molecular/and, 12:u12:cellular, -8:u23:Cell, 12:u02:Cellular, 23:u07:Cellular/Regulation, 11:u09:,/Gunma, @@ -179346,8 +187574,6 @@ 12:u14:colombia, 7:u22:CEN, 8:u23:CENI, -6:u31:FE, -7:u32:AFE, 8:u33:CAFE, 14:u00:Researches, 12:u02:CENICAFE, @@ -179499,17 +187725,14 @@ 10:u09:the/WP, 6:u14:wp, 6:u04:WP, -6:u06:3D, 10:u08:the/WP, 8:u09:WP/-, 6:u13:wp, 6:u03:WP, -6:u05:3D, 10:u07:the/WP, 8:u08:WP/-, 8:u09:-/3D, 6:u12:wp, -6:u14:3d, 6:u21:WP, 6:u22:WP, 6:u23:WP, @@ -179517,39 +187740,25 @@ 6:u32:WP, 6:u33:WP, 6:u02:WP, -6:u04:3D, 8:u07:WP/-, 8:u08:-/3D, 13:u09:3D/flight, 10:u0A:the/WP, 6:u11:wp, -6:u13:3d, 6:u01:WP, -6:u03:3D, 8:u07:-/3D, 13:u08:3D/flight, 15:u09:flight/crew, 8:u0A:WP/-, 6:u10:wp, -6:u12:3d, -6:u21:3D, -6:u22:3D, -6:u23:3D, -6:u32:3D, -6:u33:3D, 6:u00:WP, -6:u02:3D, 13:u07:3D/flight, 15:u08:flight/crew, 12:u09:crew/for, 8:u0A:-/3D, -6:u11:3d, -6:u01:3D, 15:u07:flight/crew, 12:u08:crew/for, 13:u0A:3D/flight, -6:u10:3d, -6:u00:3D, 17:u06:instrumenting, 12:u07:crew/for, 15:u0A:flight/crew, @@ -179651,7 +187860,6 @@ 14:u0A:for/Doctor, 10:u11:doctor, 12:u12:teachers, -7:u22:Tea, 8:u23:Teac, 10:u01:Doctor, 12:u02:Teachers, @@ -180229,7 +188437,6 @@ 8:u06:Cann, 17:u07:Roger/Kerouel, 15:u08:Kerouel/and, -16:u09:and/Philippe, 13:u0A:and/Roger, 9:u11:roger, 11:u12:kerouel, @@ -180239,7 +188446,6 @@ 11:u02:Kerouel, 8:u05:Cann, 15:u07:Kerouel/and, -16:u08:and/Philippe, 17:u09:Philippe/Cann, 17:u0A:Roger/Kerouel, 9:u10:roger, @@ -180249,7 +188455,6 @@ 11:u01:Kerouel, 8:u04:Cann, 12:u06:chemical, -16:u07:and/Philippe, 17:u08:Philippe/Cann, 12:u09:Cann/for, 15:u0A:Kerouel/and, @@ -180261,7 +188466,6 @@ 17:u07:Philippe/Cann, 12:u08:Cann/for, 16:u09:for/chemical, -16:u0A:and/Philippe, 8:u12:cann, 8:u23:Cann, 8:u33:Cann, @@ -180285,7 +188489,6 @@ 12:u01:chemical, 21:u0A:chemical/analyses, 12:u00:chemical, -14:u0A:analyses/., 14:u09:their/very, 14:u08:their/very, 15:u09:very/useful, @@ -180944,13 +189147,9 @@ 27:u0A:Experimental/Psychology, 16:u00:Experimental, 22:u0A:Psychology/Society, -9:u09:ERC/-, -9:u08:ERC/-, 7:u06:StG, -9:u07:ERC/-, 7:u05:StG, 9:u09:-/StG, -9:u0A:ERC/-, 7:u14:stg, 7:u04:StG, 10:u06:336050, @@ -181951,19 +190150,15 @@ 10:u00:16RDRP, 11:u02:B076564, 13:u07:B076564/-, -8:u09:03/), 13:u0A:-/B076564, 11:u11:b076564, 11:u01:B076564, -8:u08:03/), 13:u0A:B076564/-, 11:u10:b076564, 11:u00:B076564, -8:u07:03/), 17:u09:from/regional, 17:u08:from/regional, 24:u09:regional/development, -8:u0A:03/), 17:u07:from/regional, 24:u08:regional/development, 24:u09:development/research, @@ -182687,12 +190882,8 @@ 15:u00:Institution, 12:u09:has/made, 12:u08:has/made, -12:u09:made/use, 12:u07:has/made, -12:u08:made/use, -12:u07:made/use, 12:u0A:has/made, -12:u0A:made/use, 17:u06:Extragalactic, 10:u09://IPAC, 17:u05:Extragalactic, @@ -182738,7 +190929,6 @@ 7:u03:NED, 9:u07:(/NED, 9:u08:NED/), -11:u09:)/which, 14:u0A:Database/(, 7:u12:ned, 7:u22:NED, @@ -182747,17 +190937,14 @@ 12:u00:Database, 7:u02:NED, 9:u07:NED/), -11:u08:)/which, 9:u0A:(/NED, 7:u11:ned, 7:u01:NED, -11:u07:)/which, 15:u09:is/operated, 9:u0A:NED/), 7:u10:ned, 7:u00:NED, 15:u08:is/operated, -11:u0A:)/which, 7:u06:Jet, 15:u07:is/operated, 7:u05:Jet, @@ -185410,22 +193597,18 @@ 11:u03:MicroCT, 22:u07:University/MicroCT, 20:u08:MicroCT/facility, -16:u09:facility/for, 11:u12:microct, 7:u32:oCT, 8:u33:roCT, 11:u02:MicroCT, 20:u07:MicroCT/facility, -16:u08:facility/for, 22:u0A:University/MicroCT, 11:u11:microct, 11:u01:MicroCT, -16:u07:facility/for, 20:u0A:MicroCT/facility, 11:u10:microct, 11:u00:MicroCT, 11:u06:microCT, -16:u0A:facility/for, 11:u05:microCT, 15:u09:the/microCT, 11:u04:microCT, @@ -185851,7 +194034,6 @@ 12:u12:15598477, 7:u22:155, 8:u23:1559, -7:u32:477, 8:u33:8477, 12:u02:15598477, 14:u07:15598477/), @@ -186247,42 +194429,26 @@ 17:u0A:Wellcome/Fund, 9:u07:(/MNR, 9:u0A:(/MNR, -7:u06:FRM, 12:u09:by/INRIA, -7:u05:FRM, 12:u08:by/INRIA, 13:u09:INRIA/FRM, -7:u14:frm, -7:u04:FRM, 12:u07:by/INRIA, 13:u08:INRIA/FRM, 9:u09:FRM/,, -7:u13:frm, -7:u03:FRM, 13:u07:INRIA/FRM, 9:u08:FRM/,, 9:u09:,/ERC, 12:u0A:by/INRIA, -7:u12:frm, -7:u22:FRM, -7:u23:FRM, -7:u32:FRM, -7:u33:FRM, -7:u02:FRM, 9:u06:NERVI, 9:u07:FRM/,, 9:u08:,/ERC, 13:u0A:INRIA/FRM, -7:u11:frm, 9:u00:INRIA, -7:u01:FRM, 9:u05:NERVI, 9:u07:,/ERC, 11:u09:-/NERVI, 9:u0A:FRM/,, -7:u10:frm, 9:u14:nervi, -7:u00:FRM, 9:u04:NERVI, 10:u06:227747, 11:u08:-/NERVI, @@ -186439,17 +194605,13 @@ 22:u08:their/appreciation, 22:u07:their/appreciation, 22:u0A:their/appreciation, -19:u09:participants/on, 11:u06:TwinsUK, -19:u08:participants/on, 11:u05:TwinsUK, -19:u07:participants/on, 15:u09:the/TwinsUK, 11:u14:twinsuk, 11:u04:TwinsUK, 15:u08:the/TwinsUK, 13:u09:TwinsUK/,, -19:u0A:participants/on, 11:u13:twinsuk, 11:u03:TwinsUK, 15:u07:the/TwinsUK, @@ -186612,7 +194774,6 @@ 12:u10:springel, 8:u12:meng, 9:u13:xiang, -8:u23:Meng, 8:u33:Meng, 12:u00:Springel, 8:u02:Meng, @@ -186680,20 +194841,16 @@ 11:u09:we/used, 19:u0A:numerical/tools, 11:u08:we/used, -12:u09:used/for, 14:u0A:tools/that, 16:u06:calculations, 11:u07:we/used, -12:u08:used/for, 16:u05:calculations, -12:u07:used/for, 20:u09:the/calculations, 11:u0A:we/used, 16:u14:calculations, 16:u04:calculations, 20:u08:the/calculations, 26:u09:calculations/presented, -12:u0A:used/for, 16:u13:calculations, 16:u03:calculations, 20:u07:the/calculations, @@ -189681,15 +197838,11 @@ 20:u0A:clinical/samples, 14:u07:provided/., 20:u0A:samples/provided, -14:u09:Diseases/(, -14:u08:Diseases/(, 11:u09:(/NIDDK, -14:u07:Diseases/(, 11:u08:(/NIDDK, 11:u09:NIDDK/), 11:u07:(/NIDDK, 11:u08:NIDDK/), -14:u0A:Diseases/(, 10:u06:073944, 11:u07:NIDDK/), 11:u0A:(/NIDDK, @@ -189809,7 +197962,6 @@ 8:u09:(/IG, 8:u12:airc, 6:u14:ig, -7:u22:AIR, 8:u23:AIRC, 7:u32:IRC, 8:u33:AIRC, @@ -190023,7 +198175,6 @@ 18:u0A:Maria/Agostina, 12:u11:agostina, 11:u12:cinellu, -7:u22:Cin, 8:u23:Cine, 7:u32:llu, 8:u33:ellu, @@ -190186,14 +198337,10 @@ 18:u07:the/Biomedical, 26:u09:Imaging/Infrastructure, 26:u08:Imaging/Infrastructure, -21:u09:Infrastructure/in, 18:u0A:the/Biomedical, 26:u07:Imaging/Infrastructure, -21:u08:Infrastructure/in, -21:u07:Infrastructure/in, 26:u0A:Imaging/Infrastructure, 13:u06:Radiology, -21:u0A:Infrastructure/in, 13:u05:Radiology, 16:u09:of/Radiology, 13:u14:radiology, @@ -190583,7 +198730,6 @@ 9:u07:,/JPG, 11:u08:JPG/was, 7:u12:jpg, -6:u21:JP, 7:u22:JPG, 7:u23:JPG, 7:u32:JPG, @@ -190654,21 +198800,16 @@ 10:u11:s54074, 10:u01:S54074, 8:u07://01, -8:u09:./DK, 12:u0A:S54074//, 10:u10:s54074, 10:u00:S54074, -8:u08:./DK, 10:u09:DK/was, 8:u0A://01, 13:u06:initially, -8:u07:./DK, 10:u08:DK/was, -8:u0A:01/., 13:u05:initially, 10:u07:DK/was, 23:u09:supported/initially, -8:u0A:./DK, 13:u14:initially, 13:u04:initially, 23:u08:supported/initially, @@ -190805,8 +198946,6 @@ 8:u12:0689, 7:u22:068, 8:u23:0689, -7:u32:689, -8:u33:0689, 8:u02:0689, 10:u07:0689/., 10:u0A:-/0689, @@ -191559,9 +199698,6 @@ 15:u0A:Skepper/for, 11:u10:skepper, 11:u00:Skepper, -10:u09:help/., -10:u08:help/., -10:u07:help/., 17:u09:Czech/Academy, 17:u08:Czech/Academy, 17:u07:Czech/Academy, @@ -191697,7 +199833,6 @@ 18:u09:Kohoutkova/for, 12:u12:veronika, 14:u13:kohoutkova, -8:u23:Vero, 12:u02:Veronika, 14:u03:Kohoutkova, 23:u07:Veronika/Kohoutkova, @@ -191844,7 +199979,6 @@ 16:u08:on/reference, 16:u07:on/reference, 16:u0A:on/reference, -6:u00:22, 10:u09:out/to, 10:u08:out/to, 10:u07:out/to, @@ -192731,45 +200865,34 @@ 7:u32:lue, 8:u33:Blue, 8:u02:Blue, -11:u06:machine, 13:u07:Blue/Gene, 10:u08:Gene//, 7:u09://P, 12:u0A:the/Blue, 8:u11:blue, 8:u01:Blue, -11:u05:machine, 10:u07:Gene//, 7:u08://P, 13:u09:P/machine, 13:u0A:Blue/Gene, 8:u10:blue, -11:u14:machine, 8:u00:Blue, -11:u04:machine, 11:u06:Swansea, 7:u07://P, 13:u08:P/machine, 14:u09:machine/in, 10:u0A:Gene//, -11:u13:machine, -11:u03:machine, 11:u05:Swansea, 13:u07:P/machine, 14:u08:machine/in, 14:u09:in/Swansea, 7:u0A://P, -11:u12:machine, 11:u14:swansea, -7:u22:mac, -8:u23:mach, -11:u02:machine, 11:u04:Swansea, 14:u07:machine/in, 14:u08:in/Swansea, 22:u09:Swansea/University, 13:u0A:P/machine, -11:u11:machine, 11:u13:swansea, 11:u01:machine, 11:u03:Swansea, @@ -192890,35 +201013,20 @@ 11:u0A:by/STFC, 8:u11:stfc, 8:u01:STFC, -7:u06:HPC, 10:u0A:STFC/), 8:u10:stfc, 8:u00:STFC, -7:u05:HPC, -11:u09:the/HPC, -7:u04:HPC, -11:u08:the/HPC, 13:u09:HPC/Wales, -7:u03:HPC, -11:u07:the/HPC, 13:u08:HPC/Wales, 17:u09:Wales/cluster, -7:u22:HPC, -7:u23:HPC, -7:u32:HPC, -7:u33:HPC, -7:u02:HPC, 11:u06:Cardiff, 13:u07:HPC/Wales, 17:u08:Wales/cluster, -11:u0A:the/HPC, -7:u01:HPC, 11:u05:Cardiff, 17:u07:Wales/cluster, 14:u09:in/Cardiff, 13:u0A:HPC/Wales, 11:u14:cardiff, -7:u00:HPC, 11:u04:Cardiff, 14:u08:in/Cardiff, 13:u09:Cardiff/,, @@ -193097,34 +201205,24 @@ 10:u10:dirac2, 10:u00:DiRAC2, 10:u09:STFC/(, -6:u06:ST, 10:u08:STFC/(, -6:u05:ST, 10:u07:STFC/(, 12:u09:grant/ST, -6:u04:ST, 11:u06:G000506, 12:u08:grant/ST, 8:u09:ST//, 10:u0A:STFC/(, -6:u03:ST, 11:u05:G000506, 12:u07:grant/ST, 8:u08:ST//, 13:u09://G000506, 11:u14:g000506, -6:u22:ST, -6:u23:ST, -6:u32:ST, -6:u33:ST, -6:u02:ST, 11:u04:G000506, 8:u07:ST//, 13:u08://G000506, 13:u09:G000506//, 12:u0A:grant/ST, 11:u13:g000506, -6:u01:ST, 11:u03:G000506, 13:u07://G000506, 13:u08:G000506//, @@ -193133,7 +201231,6 @@ 7:u22:G00, 8:u23:G000, 8:u33:0506, -6:u00:ST, 11:u02:G000506, 13:u07:G000506//, 13:u0A://G000506, @@ -193591,7 +201688,6 @@ 16:u0A:CA132379/and, 12:u10:ca132379, 11:u12:ca13238, -7:u32:238, 8:u33:3238, 12:u00:CA132379, 11:u02:CA13238, @@ -193671,7 +201767,6 @@ 10:u0A:Pró/-, 8:u10:pró, 12:u12:reitoria, -8:u23:Reit, 8:u00:Pró, 12:u02:Reitoria, 15:u07:Reitoria/de, @@ -193912,7 +202007,6 @@ 12:u07:-/627784, 12:u08:627784/), 10:u12:627784, -6:u21:62, 7:u22:627, 8:u23:6277, 7:u32:784, @@ -195225,7 +203319,6 @@ 10:u12:célia, 9:u13:akemi, 14:u14:gasparetto, -7:u21:Cé, 8:u22:Cél, 9:u23:Céli, 11:u00:Hermoso, @@ -195343,7 +203436,6 @@ 16:u0A:Luiz/Saraiva, 8:u10:luiz, 10:u12:arraes, -8:u23:Arra, 8:u33:raes, 8:u00:Luiz, 10:u02:Arraes, @@ -196072,7 +204164,6 @@ 11:u12:ai41089, 7:u22:AI4, 8:u23:AI41, -8:u33:1089, 11:u02:AI41089, 15:u07:AI41089/The, 15:u0A:U01/AI41089, @@ -196473,12 +204564,8 @@ 23:u07:provided/additional, 21:u08:additional/animal, 21:u07:additional/animal, -10:u09:care/., 23:u0A:provided/additional, -10:u08:care/., 21:u0A:additional/animal, -10:u07:care/., -10:u0A:care/., 13:u06:referring, 13:u05:referring, 17:u06:veterinarians, @@ -197382,7 +205469,6 @@ 14:u09:e/Rovereto, 10:u12:trento, 12:u14:rovereto, -8:u23:Tren, 10:u02:Trento, 12:u04:Rovereto, 12:u07:Trento/e, @@ -197835,32 +205921,17 @@ 14:u0A:MH095325/,, 12:u10:mh095325, 12:u00:MH095325, -12:u06:Multiple, -12:u05:Multiple, 14:u09:,/Multiple, -12:u14:multiple, -12:u04:Multiple, 14:u08:,/Multiple, 15:u09:Multiple/PI, -12:u13:multiple, -12:u03:Multiple, 14:u07:,/Multiple, 15:u08:Multiple/PI, 8:u09:PI/), -12:u12:multiple, -7:u22:Mul, -8:u23:Mult, -8:u33:iple, -12:u02:Multiple, 15:u07:Multiple/PI, 8:u08:PI/), 14:u0A:,/Multiple, -12:u11:multiple, -12:u01:Multiple, 8:u07:PI/), 15:u0A:Multiple/PI, -12:u10:multiple, -12:u00:Multiple, 8:u0A:PI/), 17:u09:would/express, 17:u08:would/express, @@ -198087,7 +206158,6 @@ 10:u0A:Chih/,, 8:u12:andy, 8:u23:Andy, -7:u32:ndy, 8:u33:Andy, 8:u02:Andy, 10:u05:Cecile, @@ -198116,7 +206186,6 @@ 12:u13:chalouni, 7:u22:Cec, 8:u23:Ceci, -8:u33:cile, 10:u02:Cecile, 12:u03:Chalouni, 19:u07:Cecile/Chalouni, @@ -199748,7 +207817,6 @@ 18:u09:,/Pennsylvania, 21:u0A:Communications/in, 11:u12:yardley, -8:u23:Yard, 11:u02:Yardley, 13:u07:Yardley/,, 18:u08:,/Pennsylvania, @@ -199898,18 +207966,15 @@ 11:u03:Impulse, 22:u07:Innovation/Impulse, 19:u08:Impulse/program, -13:u09:program/,, 16:u0A:-/Innovation, 11:u12:impulse, 8:u23:Impu, 8:u33:ulse, 11:u02:Impulse, 19:u07:Impulse/program, -13:u08:program/,, 22:u0A:Innovation/Impulse, 11:u11:impulse, 11:u01:Impulse, -13:u07:program/,, 13:u09:grant/DLR, 19:u0A:Impulse/program, 11:u10:impulse, @@ -199917,7 +207982,6 @@ 8:u06:6198, 13:u08:grant/DLR, 9:u09:DLR/., -13:u0A:program/,, 8:u05:6198, 13:u07:grant/DLR, 9:u08:DLR/., @@ -199975,7 +208039,6 @@ 14:u0A:RFC/Editor, 7:u10:rfc, 12:u12:function, -8:u23:func, 7:u00:RFC, 12:u02:function, 15:u07:function/is, @@ -200405,45 +208468,38 @@ 15:u0A:of/modeling, 13:u14:technique, 13:u04:technique, -15:u06:performance, 18:u07:and/simulation, 24:u08:simulation/technique, 17:u09:technique/for, 16:u0A:modeling/and, 13:u13:technique, 13:u03:technique, -15:u05:performance, 24:u07:simulation/technique, 17:u08:technique/for, 19:u09:for/performance, 18:u0A:and/simulation, 13:u12:technique, 13:u02:technique, -15:u04:performance, 17:u07:technique/for, 19:u08:for/performance, 26:u09:performance/evaluation, 24:u0A:simulation/technique, 13:u11:technique, 13:u01:technique, -15:u03:performance, 19:u07:for/performance, 26:u08:performance/evaluation, 17:u09:evaluation/of, 17:u0A:technique/for, 13:u10:technique, 13:u00:technique, -15:u02:performance, 26:u07:performance/evaluation, 17:u08:evaluation/of, 17:u09:of/networking, 19:u0A:for/performance, -15:u01:performance, 17:u07:evaluation/of, 17:u08:of/networking, 22:u09:networking/systems, 26:u0A:performance/evaluation, -15:u00:performance, 17:u07:of/networking, 22:u08:networking/systems, 17:u0A:evaluation/of, @@ -200566,11 +208622,7 @@ 16:u00:Neurosurgery, 24:u08:Education/Foundation, 24:u07:Education/Foundation, -17:u09:its/financial, 24:u0A:Education/Foundation, -17:u08:its/financial, -17:u07:its/financial, -17:u0A:its/financial, 11:u07:_x-1/SM, 19:u08:SM/acknowledges, 19:u07:SM/acknowledges, @@ -201709,25 +209761,17 @@ 12:u00:RR018827, 8:u07:04/), 8:u0A:04/), -15:u06:synchrotron, -15:u05:synchrotron, 19:u09:the/synchrotron, -15:u04:synchrotron, 19:u08:the/synchrotron, 25:u09:synchrotron/beamlines, -15:u03:synchrotron, 19:u07:the/synchrotron, 25:u08:synchrotron/beamlines, 22:u09:beamlines/involved, -8:u23:sync, -15:u02:synchrotron, 25:u07:synchrotron/beamlines, 22:u08:beamlines/involved, 19:u0A:the/synchrotron, -15:u01:synchrotron, 22:u07:beamlines/involved, 25:u0A:synchrotron/beamlines, -15:u00:synchrotron, 22:u0A:beamlines/involved, 10:u09:work/(, 8:u06:ID23, @@ -202041,8 +210085,6 @@ 14:u07:of/Cologne, 13:u08:Cologne/,, 11:u12:cologne, -7:u32:gne, -8:u33:ogne, 11:u02:Cologne, 13:u07:Cologne/,, 14:u0A:of/Cologne, @@ -202065,21 +210107,17 @@ 19:u03:crystallography, 27:u07:protein/crystallography, 29:u08:crystallography/equipment, -15:u09:equipment/., 14:u0A:to/protein, 19:u12:crystallography, 8:u33:aphy, 19:u02:crystallography, 29:u07:crystallography/equipment, -15:u08:equipment/., 27:u0A:protein/crystallography, 19:u11:crystallography, 19:u01:crystallography, -15:u07:equipment/., 29:u0A:crystallography/equipment, 19:u10:crystallography, 19:u00:crystallography, -15:u0A:equipment/., 11:u06:Ukraine, 11:u05:Ukraine, 14:u09:of/Ukraine, @@ -202096,7 +210134,6 @@ 6:u21:Uk, 7:u22:Ukr, 8:u23:Ukra, -8:u33:aine, 11:u02:Ukraine, 15:u05:0107U003345, 13:u07:Ukraine/(, @@ -202263,17 +210300,9 @@ 13:u0A:,/Lanzhou, 11:u11:lanzhou, 11:u01:Lanzhou, -15:u09:for/funding, 22:u0A:Lanzhou/University, 11:u10:lanzhou, 11:u00:Lanzhou, -15:u08:for/funding, -16:u09:funding/this, -15:u07:for/funding, -16:u08:funding/this, -16:u07:funding/this, -15:u0A:for/funding, -16:u0A:funding/this, 13:u06:NANOGRAPH, 12:u09:grant/on, 13:u05:NANOGRAPH, @@ -202868,35 +210897,25 @@ 16:u09:precision/of, 13:u13:precision, 13:u03:precision, -14:u06:instrument, 17:u07:the/precision, 16:u08:precision/of, 17:u0A:determine/the, 13:u12:precision, -8:u23:prec, 13:u02:precision, -14:u05:instrument, 16:u07:precision/of, 18:u09:the/instrument, 17:u0A:the/precision, 13:u11:precision, -14:u14:instrument, 13:u01:precision, -14:u04:instrument, 18:u08:the/instrument, 16:u09:instrument/., 16:u0A:precision/of, 13:u10:precision, -14:u13:instrument, 13:u00:precision, -14:u03:instrument, 18:u07:the/instrument, 16:u08:instrument/., -14:u12:instrument, -14:u02:instrument, 16:u07:instrument/., 18:u0A:the/instrument, -14:u11:instrument, 7:u09::/S, 7:u08::/S, 7:u07::/S, @@ -203279,7 +211298,6 @@ 10:u08:SOAR/), 15:u09:)/telescope, 8:u12:soar, -13:u14:telescope, 7:u22:SOA, 8:u23:SOAR, 7:u32:OAR, @@ -203291,24 +211309,20 @@ 15:u09:telescope/,, 10:u0A:(/SOAR, 8:u11:soar, -13:u13:telescope, 8:u01:SOAR, 13:u03:telescope, 15:u07:)/telescope, 15:u08:telescope/,, 10:u0A:SOAR/), 8:u10:soar, -13:u12:telescope, 7:u22:tel, 8:u23:tele, 8:u00:SOAR, 13:u02:telescope, 15:u07:telescope/,, 15:u0A:)/telescope, -13:u11:telescope, 13:u01:telescope, 15:u0A:telescope/,, -13:u10:telescope, 13:u00:telescope, 17:u09:joint/project, 17:u08:joint/project, @@ -203490,60 +211504,47 @@ 10:u06:Chapel, 15:u09:Carolina/at, 10:u05:Chapel, -8:u06:Hill, 15:u08:Carolina/at, 13:u09:at/Chapel, 10:u14:chapel, 10:u04:Chapel, -8:u05:Hill, 15:u07:Carolina/at, 13:u08:at/Chapel, 15:u09:Chapel/Hill, 10:u13:chapel, -8:u14:hill, 10:u03:Chapel, -8:u04:Hill, 7:u06:UNC, 13:u07:at/Chapel, 15:u08:Chapel/Hill, 10:u09:Hill/(, 15:u0A:Carolina/at, 10:u12:chapel, -8:u13:hill, 8:u33:apel, 10:u02:Chapel, -8:u03:Hill, 7:u05:UNC, 15:u07:Chapel/Hill, 10:u08:Hill/(, 9:u09:(/UNC, 13:u0A:at/Chapel, 10:u11:chapel, -8:u12:hill, 7:u14:unc, -8:u33:Hill, 10:u01:Chapel, -8:u02:Hill, 7:u04:UNC, 10:u07:Hill/(, 9:u08:(/UNC, 9:u09:UNC/), 15:u0A:Chapel/Hill, 10:u10:chapel, -8:u11:hill, 7:u13:unc, 10:u00:Chapel, -8:u01:Hill, 7:u03:UNC, 9:u07:(/UNC, 9:u08:UNC/), 10:u0A:Hill/(, -8:u10:hill, 7:u12:unc, 7:u23:UNC, 7:u32:UNC, 7:u33:UNC, -8:u00:Hill, 7:u02:UNC, 9:u07:UNC/), 9:u0A:(/UNC, @@ -203723,42 +211724,28 @@ 11:u11:brunner, 9:u00:Bernd, 11:u01:Brunner, -9:u06:Cindy, 13:u0A:Brunner/,, 11:u10:brunner, 11:u00:Brunner, -9:u05:Cindy, 13:u09:and/Cindy, -9:u14:cindy, -9:u04:Cindy, 13:u08:and/Cindy, 14:u09:Cindy/Wake, -9:u13:cindy, -9:u03:Cindy, 6:u06:BS, 13:u07:and/Cindy, 14:u08:Cindy/Wake, 10:u09:Wake/,, -9:u12:cindy, -8:u23:Cind, -8:u33:indy, -9:u02:Cindy, 6:u05:BS, 14:u07:Cindy/Wake, 10:u08:Wake/,, 8:u09:,/BS, 13:u0A:and/Cindy, -9:u11:cindy, 6:u14:bs, -9:u01:Cindy, 6:u04:BS, 10:u07:Wake/,, 8:u08:,/BS, 8:u09:BS/,, 14:u0A:Cindy/Wake, -9:u10:cindy, 6:u13:bs, -9:u00:Cindy, 6:u03:BS, 8:u07:,/BS, 8:u08:BS/,, @@ -203953,39 +211940,20 @@ 28:u08:pharmacokinetic/analysis, 19:u12:pharmacokinetic, 19:u02:pharmacokinetic, -8:u06:Erik, 28:u07:pharmacokinetic/analysis, 23:u0A:the/pharmacokinetic, 19:u11:pharmacokinetic, 19:u01:pharmacokinetic, -8:u05:Erik, -12:u09:and/Erik, 28:u0A:pharmacokinetic/analysis, 19:u10:pharmacokinetic, -8:u14:erik, 19:u00:pharmacokinetic, -8:u04:Erik, -12:u08:and/Erik, 18:u09:Erik/Rasmussen, -8:u13:erik, -8:u03:Erik, -12:u07:and/Erik, 18:u08:Erik/Rasmussen, 15:u09:Rasmussen/,, -8:u12:erik, -8:u23:Erik, -7:u32:rik, -8:u33:Erik, -8:u02:Erik, 18:u07:Erik/Rasmussen, 15:u08:Rasmussen/,, -12:u0A:and/Erik, -8:u11:erik, -8:u01:Erik, 15:u07:Rasmussen/,, 18:u0A:Erik/Rasmussen, -8:u10:erik, -8:u00:Erik, 15:u0A:Rasmussen/,, 23:u09:statistical/support, 16:u06:Additionally, @@ -204723,7 +212691,6 @@ 7:u12:itb, 7:u22:ITB, 7:u23:ITB, -6:u31:TB, 7:u32:ITB, 7:u33:ITB, 9:u00:DIKTI, @@ -205477,7 +213444,6 @@ 10:u10:dnmt3a, 10:u12:dnmt3b, 10:u13:sirnas, -6:u31:3b, 7:u32:t3b, 8:u33:mt3b, 10:u00:Dnmt3a, @@ -206024,7 +213990,6 @@ 17:u0A:thank/Garrelt, 11:u11:garrelt, 11:u12:mellema, -7:u32:ema, 8:u33:lema, 11:u01:Garrelt, 11:u02:Mellema, @@ -207947,7 +215912,6 @@ 13:u08:start/the, 21:u09:the/investigation, 8:u23:star, -8:u33:tart, 9:u02:start, 13:u07:start/the, 21:u08:the/investigation, @@ -208219,7 +216183,6 @@ 8:u13:fsis, 8:u03:FSIS, 17:u05:Investigation, -8:u06:Team, 12:u07:the/FSIS, 19:u08:FSIS/Heidelberg, 28:u09:Heidelberg/Investigation, @@ -208231,7 +216194,6 @@ 8:u33:FSIS, 8:u02:FSIS, 17:u04:Investigation, -8:u05:Team, 19:u07:FSIS/Heidelberg, 28:u08:Heidelberg/Investigation, 22:u09:Investigation/Team, @@ -208239,7 +216201,6 @@ 8:u11:fsis, 8:u01:FSIS, 17:u03:Investigation, -8:u04:Team, 28:u07:Heidelberg/Investigation, 22:u08:Investigation/Team, 10:u09:Team/,, @@ -208247,22 +216208,16 @@ 8:u10:fsis, 8:u00:FSIS, 17:u02:Investigation, -8:u03:Team, 22:u07:Investigation/Team, 10:u08:Team/,, 28:u0A:Heidelberg/Investigation, -8:u23:Team, -8:u33:Team, 17:u01:Investigation, -8:u02:Team, 10:u07:Team/,, 11:u09:which/,, 22:u0A:Investigation/Team, 17:u00:Investigation, -8:u01:Team, 11:u08:which/,, 10:u0A:Team/,, -8:u00:Team, 11:u07:which/,, 11:u0A:which/,, 11:u09:to/FSIS, @@ -209466,15 +217421,12 @@ 10:u06:resume, 9:u07:it/is, 15:u08:is/possible, -15:u09:possible/to, 10:u05:resume, 15:u07:is/possible, -15:u08:possible/to, 13:u09:to/resume, 9:u0A:it/is, 10:u14:resume, 10:u04:resume, -15:u07:possible/to, 13:u08:to/resume, 14:u09:resume/the, 15:u0A:is/possible, @@ -209483,7 +217435,6 @@ 13:u07:to/resume, 14:u08:resume/the, 16:u09:the/modeling, -15:u0A:possible/to, 10:u12:resume, 7:u32:ume, 8:u33:sume, @@ -210263,7 +218214,6 @@ 17:u08:Income/Grants, 12:u09:Grants/), 16:u0A:Beam/Program, -8:u10:beam, 8:u23:Inco, 8:u00:Beam, 10:u02:Income, @@ -210972,7 +218922,6 @@ 11:u12:bighorn, 14:u14:recreation, 8:u23:Bigh, -8:u33:horn, 11:u02:Bighorn, 14:u04:Recreation, 20:u07:Bighorn/National, @@ -211736,7 +219685,6 @@ 11:u14:peptide, 10:u01:Reilly, 11:u04:Peptide, -12:u06:platform, 11:u07:(/Crick, 17:u08:Crick/Peptide, 21:u09:Peptide/Chemistry, @@ -211745,46 +219693,35 @@ 11:u13:peptide, 10:u00:Reilly, 11:u03:Peptide, -12:u05:platform, 17:u07:Crick/Peptide, 21:u08:Peptide/Chemistry, 22:u09:Chemistry/platform, 11:u0A:(/Crick, 11:u12:peptide, -12:u14:platform, 7:u22:Pep, 8:u23:Pept, 8:u33:tide, 11:u02:Peptide, -12:u04:platform, 21:u07:Peptide/Chemistry, 22:u08:Chemistry/platform, 14:u09:platform/), 17:u0A:Crick/Peptide, 11:u11:peptide, -12:u13:platform, 11:u01:Peptide, -12:u03:platform, 11:u06:peptide, 22:u07:Chemistry/platform, 14:u08:platform/), 21:u0A:Peptide/Chemistry, 11:u10:peptide, -12:u12:platform, 11:u00:Peptide, -12:u02:platform, 11:u05:peptide, 14:u07:platform/), 15:u09:for/peptide, 22:u0A:Chemistry/platform, -12:u11:platform, -12:u01:platform, 11:u04:peptide, 15:u08:for/peptide, 21:u09:peptide/synthesis, 14:u0A:platform/), -12:u10:platform, -12:u00:platform, 11:u03:peptide, 9:u06:Koray, 15:u07:for/peptide, @@ -212143,7 +220080,6 @@ 12:u14:mohammed, 10:u03:Shabaz, 12:u04:Mohammed, -10:u06:Albert, 12:u07:;/Shabaz, 19:u08:Shabaz/Mohammed, 16:u09:Mohammed/and, @@ -212154,46 +220090,35 @@ 8:u33:abaz, 10:u02:Shabaz, 12:u03:Mohammed, -10:u05:Albert, 19:u07:Shabaz/Mohammed, 16:u08:Mohammed/and, 14:u09:and/Albert, 12:u0A:;/Shabaz, 10:u11:shabaz, 12:u12:mohammed, -10:u14:albert, 8:u33:mmed, 10:u01:Shabaz, 12:u02:Mohammed, -10:u04:Albert, 16:u07:Mohammed/and, 14:u08:and/Albert, 15:u09:Albert/Heck, 19:u0A:Shabaz/Mohammed, 10:u10:shabaz, 12:u11:mohammed, -10:u13:albert, 10:u00:Shabaz, 12:u01:Mohammed, -10:u03:Albert, 14:u07:and/Albert, 15:u08:Albert/Heck, 10:u09:Heck/(, 16:u0A:Mohammed/and, 12:u10:mohammed, -10:u12:albert, 12:u00:Mohammed, -10:u02:Albert, 15:u07:Albert/Heck, 10:u08:Heck/(, 14:u0A:and/Albert, -10:u11:albert, -10:u01:Albert, 11:u06:Utrecht, 10:u07:Heck/(, 15:u0A:Albert/Heck, -10:u10:albert, -10:u00:Albert, 11:u05:Utrecht, 14:u09:of/Utrecht, 10:u0A:Heck/(, @@ -212263,7 +220188,6 @@ 13:u09:Behrens/,, 8:u12:axel, 11:u13:behrens, -6:u21:Ax, 7:u22:Axe, 8:u23:Axel, 7:u32:xel, @@ -213293,7 +221217,6 @@ 11:u09:Saenz/,, 9:u12:torre, 9:u13:saenz, -7:u32:rre, 8:u33:orre, 9:u02:Torre, 9:u03:Saenz, @@ -213433,7 +221356,6 @@ 16:u09:,/JP17H03584, 14:u12:jp26290041, 14:u14:jp17h03584, -7:u22:JP2, 8:u23:JP26, 14:u02:JP26290041, 14:u04:JP17H03584, @@ -213451,7 +221373,6 @@ 16:u0A:JP26290041/,, 14:u10:jp26290041, 14:u12:jp17h03584, -7:u22:JP1, 8:u23:JP17, 7:u32:584, 8:u33:3584, @@ -215910,7 +223831,6 @@ 17:u0A:and/producing, 14:u06:concluding, 18:u0A:producing/this, -13:u00:producing, 14:u05:concluding, 11:u06:chapter, 18:u09:The/concluding, @@ -220056,32 +227976,26 @@ 16:u07:and/receives, 22:u08:receives/honoraria, 7:u05:CSL, -16:u06:Biotherapies, 22:u07:receives/honoraria, 12:u09:from/CSL, 16:u0A:and/receives, 7:u14:csl, 7:u04:CSL, -16:u05:Biotherapies, 12:u08:from/CSL, 20:u09:CSL/Biotherapies, 22:u0A:receives/honoraria, 7:u13:csl, -16:u14:biotherapies, 7:u03:CSL, -16:u04:Biotherapies, 10:u06:Jochen, 12:u07:from/CSL, 20:u08:CSL/Biotherapies, 18:u09:Biotherapies/., 7:u12:csl, -16:u13:biotherapies, 7:u22:CSL, 7:u23:CSL, 7:u32:CSL, 7:u33:CSL, 7:u02:CSL, -16:u03:Biotherapies, 10:u05:Jochen, 12:u06:Springer, 20:u07:CSL/Biotherapies, @@ -220089,10 +228003,8 @@ 12:u09:./Jochen, 12:u0A:from/CSL, 7:u11:csl, -16:u12:biotherapies, 10:u14:jochen, 7:u01:CSL, -16:u02:Biotherapies, 10:u04:Jochen, 12:u05:Springer, 18:u07:Biotherapies/., @@ -220100,19 +228012,15 @@ 19:u09:Jochen/Springer, 20:u0A:CSL/Biotherapies, 7:u10:csl, -16:u11:biotherapies, 10:u13:jochen, 12:u14:springer, 7:u00:CSL, -16:u01:Biotherapies, 12:u04:Springer, 12:u07:./Jochen, 19:u08:Jochen/Springer, 21:u09:Springer/received, 18:u0A:Biotherapies/., -16:u10:biotherapies, 12:u13:springer, -16:u00:Biotherapies, 12:u03:Springer, 19:u07:Jochen/Springer, 21:u08:Springer/received, @@ -220465,16 +228373,12 @@ 19:u0A:human/resources, 14:u07:for/health, 12:u08:health/:, -7:u09::/A, 17:u0A:resources/for, 12:u07:health/:, -7:u08::/A, 14:u0A:for/health, -7:u07::/A, 12:u0A:health/:, 10:u06:worker, 13:u09:of/health, -7:u0A::/A, 10:u05:worker, 13:u08:of/health, 17:u09:health/worker, @@ -222862,13 +230766,9 @@ 15:u0A:for/compute, 11:u11:compute, 11:u01:compute, -18:u09:these/analyses, 16:u0A:compute/time, 11:u10:compute, 11:u00:compute, -18:u08:these/analyses, -18:u07:these/analyses, -18:u0A:these/analyses, 22:u08:Acknowledgements/-, 22:u07:Acknowledgements/-, 22:u0A:Acknowledgements/-, @@ -223053,14 +230953,11 @@ 9:u00:ofthe, 10:u07:used/(, 9:u08:(/the, -16:u09:the/computer, 11:u06:furnace, 9:u07:(/the, -16:u08:the/computer, 23:u09:computer/controlled, 10:u0A:used/(, 11:u05:furnace, -16:u07:the/computer, 23:u08:computer/controlled, 22:u09:controlled/furnace, 9:u0A:(/the, @@ -223069,7 +230966,6 @@ 23:u07:computer/controlled, 22:u08:controlled/furnace, 13:u09:furnace/), -16:u0A:the/computer, 11:u13:furnace, 11:u03:furnace, 22:u07:controlled/furnace, @@ -223431,7 +231327,6 @@ 14:u02:resolution, 9:u03:inner, 10:u05:volume, -7:u06:MRI, 20:u07:resolution/inner, 11:u08:inner/-, 12:u09:-/volume, @@ -223442,47 +231337,33 @@ 14:u01:resolution, 9:u02:inner, 10:u04:volume, -7:u05:MRI, 11:u07:inner/-, 12:u08:-/volume, 14:u09:volume/MRI, 20:u0A:resolution/inner, 14:u10:resolution, 10:u13:volume, -7:u14:mri, 14:u00:resolution, 9:u01:inner, 10:u03:volume, -7:u04:MRI, 12:u07:-/volume, 14:u08:volume/MRI, 9:u09:MRI/., 11:u0A:inner/-, 10:u12:volume, -7:u13:mri, 8:u33:lume, 9:u00:inner, 10:u02:volume, -7:u03:MRI, 14:u07:volume/MRI, 9:u08:MRI/., 12:u0A:-/volume, 10:u11:volume, -7:u12:mri, -7:u22:MRI, -7:u23:MRI, -7:u33:MRI, 10:u01:volume, -7:u02:MRI, 9:u07:MRI/., 14:u0A:volume/MRI, 10:u10:volume, -7:u11:mri, 10:u00:volume, -7:u01:MRI, 9:u0A:MRI/., -7:u10:mri, -7:u00:MRI, 10:u06:Lorenz, 10:u05:Lorenz, 20:u09:Christine/Lorenz, @@ -224316,7 +232197,6 @@ 15:u0A:chlamydia/,, 13:u10:chlamydia, 13:u12:gonorrhea, -7:u22:gon, 8:u23:gono, 8:u33:rhea, 13:u00:chlamydia, @@ -224429,7 +232309,6 @@ 12:u0A:Mary/Ann, 7:u11:ann, 11:u12:hausner, -7:u22:Hau, 8:u23:Haus, 7:u01:Ann, 11:u02:Hausner, @@ -224588,13 +232467,9 @@ 8:u10:viiv, 8:u00:ViiV, 16:u0A:Healthcare/), -16:u09:the/donation, -16:u08:the/donation, 9:u06:drugs, -16:u07:the/donation, 9:u05:drugs, 15:u09:study/drugs, -16:u0A:the/donation, 9:u14:drugs, 9:u04:drugs, 15:u08:study/drugs, @@ -226969,7 +234844,6 @@ 10:u12:instem, 7:u22:inS, 8:u23:inSt, -8:u33:Stem, 9:u00:Raina, 10:u02:inStem, 12:u07:inStem/), @@ -227346,7 +235220,6 @@ 10:u08:TIFR/., 10:u0A:NCBS/,, 8:u12:tifr, -6:u21:TI, 7:u22:TIF, 8:u23:TIFR, 6:u31:FR, @@ -228048,7 +235921,6 @@ 14:u08:praise/and, 10:u12:praise, 8:u23:prai, -8:u33:aise, 10:u02:praise, 14:u07:praise/and, 14:u0A:All/praise, @@ -228752,14 +236624,10 @@ 15:u0A:Brigham/and, 11:u10:brigham, 11:u00:Brigham, -14:u09:s/Hospital, 13:u0A:and/Women, -14:u08:s/Hospital, -14:u07:s/Hospital, 12:u09:and/Dana, 12:u08:and/Dana, 15:u09:Dana/Farber, -14:u0A:s/Hospital, 12:u07:and/Dana, 15:u08:Dana/Farber, 17:u09:Farber/Cancer, @@ -229015,7 +236883,6 @@ 10:u10:horton, 11:u12:lucille, 11:u13:forrest, -8:u33:ille, 10:u00:Horton, 11:u02:Lucille, 11:u03:Forrest, @@ -229349,7 +237216,6 @@ 16:u09:Dirnberger/,, 13:u12:elisabeth, 14:u13:dirnberger, -8:u23:Elis, 13:u02:Elisabeth, 14:u03:Dirnberger, 11:u06:Magerle, @@ -229879,7 +237745,6 @@ 13:u0A:of/France, 8:u13:inca, 8:u03:INCa, -10:u06:INSERM, 10:u07:(/INCa, 10:u08:INCa/), 8:u12:inca, @@ -229888,35 +237753,14 @@ 7:u32:NCa, 8:u33:INCa, 8:u02:INCa, -10:u05:INSERM, 10:u07:INCa/), -12:u09:,/INSERM, 10:u0A:(/INCa, 8:u11:inca, -10:u14:inserm, 8:u01:INCa, -10:u04:INSERM, -12:u08:,/INSERM, -12:u09:INSERM/,, 10:u0A:INCa/), 8:u10:inca, -10:u13:inserm, 8:u00:INCa, -10:u03:INSERM, -12:u07:,/INSERM, -12:u08:INSERM/,, -10:u12:inserm, -7:u32:ERM, -8:u33:SERM, -10:u02:INSERM, -12:u07:INSERM/,, -12:u0A:,/INSERM, -10:u11:inserm, -10:u01:INSERM, 19:u09:Cancer/research, -12:u0A:INSERM/,, -10:u10:inserm, -10:u00:INSERM, 16:u06:personalized, 19:u08:Cancer/research, 16:u05:personalized, @@ -231317,26 +239161,10 @@ 14:u0A:Krauhs/and, 10:u10:krauhs, 10:u00:Krauhs, -13:u06:Rosenberg, -13:u05:Rosenberg, -15:u09:./Rosenberg, -13:u14:rosenberg, -13:u04:Rosenberg, -15:u08:./Rosenberg, 17:u09:Rosenberg/for, -13:u13:rosenberg, -13:u03:Rosenberg, -15:u07:./Rosenberg, 17:u08:Rosenberg/for, -13:u12:rosenberg, -13:u02:Rosenberg, 17:u07:Rosenberg/for, -15:u0A:./Rosenberg, -13:u11:rosenberg, -13:u01:Rosenberg, 17:u0A:Rosenberg/for, -13:u10:rosenberg, -13:u00:Rosenberg, 16:u09:thank/useful, 16:u08:thank/useful, 14:u06:Sebastiano, @@ -232851,7 +240679,6 @@ 14:u07:A/Chauveau, 14:u08:Chauveau/,, 12:u12:chauveau, -8:u33:veau, 12:u02:Chauveau, 9:u06:Arnon, 14:u07:Chauveau/,, @@ -233044,15 +240871,12 @@ 12:u00:blocking, 8:u01:anti, 8:u07:-/IL, -8:u09:-/22, 10:u0A:anti/-, 8:u10:anti, 8:u00:anti, -8:u08:-/22, 15:u09:22/antibody, 8:u0A:-/IL, 11:u06:isotype, -8:u07:-/22, 15:u08:22/antibody, 16:u09:antibody/and, 11:u05:isotype, @@ -233060,7 +240884,6 @@ 15:u07:22/antibody, 16:u08:antibody/and, 15:u09:and/isotype, -8:u0A:-/22, 11:u14:isotype, 11:u04:isotype, 12:u05:controls, @@ -233395,7 +241218,6 @@ 7:u00:IAP, 10:u02:StUDyS, 11:u05:crucial, -15:u06:Statistical, 12:u07:StUDyS/(, 16:u08:(/Developing, 22:u09:Developing/crucial, @@ -233404,7 +241226,6 @@ 11:u14:crucial, 10:u01:StUDyS, 11:u04:crucial, -15:u05:Statistical, 16:u07:(/Developing, 22:u08:Developing/crucial, 23:u09:crucial/Statistical, @@ -233413,7 +241234,6 @@ 11:u13:crucial, 10:u00:StUDyS, 11:u03:crucial, -15:u04:Statistical, 22:u07:Developing/crucial, 23:u08:crucial/Statistical, 23:u09:Statistical/methods, @@ -233673,7 +241493,6 @@ 16:u03:synchrotrons, 24:u07:BESSYII/synchrotrons, 20:u08:synchrotrons/for, -12:u09:for/beam, 15:u0A:and/BESSYII, 11:u11:bessyii, 16:u12:synchrotrons, @@ -233681,23 +241500,14 @@ 11:u01:BESSYII, 16:u02:synchrotrons, 20:u07:synchrotrons/for, -12:u08:for/beam, -13:u09:beam/time, 24:u0A:BESSYII/synchrotrons, 11:u10:bessyii, 16:u11:synchrotrons, 11:u00:BESSYII, 16:u01:synchrotrons, -12:u07:for/beam, -13:u08:beam/time, 20:u0A:synchrotrons/for, 16:u10:synchrotrons, 16:u00:synchrotrons, -13:u07:beam/time, -12:u0A:for/beam, -8:u01:beam, -13:u0A:beam/time, -8:u00:beam, 20:u09:staff/scientists, 20:u08:staff/scientists, 18:u09:scientists/for, @@ -235259,42 +243069,31 @@ 19:u09:laboratory/data, 10:u12:mobile, 10:u02:mobile, -9:u06:Thank, 21:u07:mobile/laboratory, 19:u08:laboratory/data, 20:u0A:providing/mobile, 10:u11:mobile, 10:u01:mobile, -9:u05:Thank, 19:u07:laboratory/data, -11:u09:./Thank, 21:u0A:mobile/laboratory, 10:u10:mobile, 10:u00:mobile, -9:u04:Thank, -11:u08:./Thank, 13:u09:Thank/you, 19:u0A:laboratory/data, -9:u03:Thank, 9:u06:CDPHE, -11:u07:./Thank, 13:u08:Thank/you, 10:u09:you/to, -9:u02:Thank, 9:u05:CDPHE, 13:u07:Thank/you, 10:u08:you/to, 12:u09:to/CDPHE, -11:u0A:./Thank, 9:u14:cdphe, -9:u01:Thank, 9:u04:CDPHE, 10:u07:you/to, 12:u08:to/CDPHE, 13:u09:CDPHE/for, 13:u0A:Thank/you, 9:u13:cdphe, -9:u00:Thank, 9:u03:CDPHE, 12:u07:to/CDPHE, 13:u08:CDPHE/for, @@ -235479,47 +243278,29 @@ 18:u0A:Satellite/data, 13:u10:satellite, 13:u00:Satellite, -6:u06:v1, 14:u07:were/taken, 14:u08:taken/from, 13:u0A:data/were, -6:u05:v1, 14:u07:taken/from, 10:u09:the/v1, 14:u0A:were/taken, -6:u14:v1, -6:u04:v1, 10:u08:the/v1, 8:u09:v1/., 14:u0A:taken/from, -6:u13:v1, -6:u03:v1, 7:u06:LIS, 10:u07:the/v1, 8:u08:v1/., -6:u12:v1, -6:u21:v1, -6:u22:v1, -6:u23:v1, -6:u31:v1, -6:u32:v1, -6:u33:v1, -6:u02:v1, 7:u05:LIS, 8:u07:v1/., 9:u09:0/LIS, 10:u0A:the/v1, -6:u11:v1, 7:u14:lis, -6:u01:v1, 7:u04:LIS, 7:u06:OTD, 9:u08:0/LIS, 9:u09:LIS//, 8:u0A:v1/., -6:u10:v1, 7:u13:lis, -6:u00:v1, 7:u03:LIS, 7:u05:OTD, 11:u06:gridded, @@ -236152,7 +243933,6 @@ 18:u00:jurisdictional, 10:u01:claims, 8:u04:maps, -17:u06:institutional, 16:u07:in/published, 18:u08:published/maps, 12:u09:maps/and, @@ -236161,7 +243941,6 @@ 8:u13:maps, 10:u00:claims, 8:u03:maps, -17:u05:institutional, 16:u06:affiliations, 18:u07:published/maps, 12:u08:maps/and, @@ -236171,7 +243950,6 @@ 8:u23:maps, 8:u33:maps, 8:u02:maps, -17:u04:institutional, 16:u05:affiliations, 12:u07:maps/and, 21:u08:and/institutional, @@ -236180,7 +243958,6 @@ 8:u11:maps, 16:u14:affiliations, 8:u01:maps, -17:u03:institutional, 16:u04:affiliations, 21:u07:and/institutional, 30:u08:institutional/affiliations, @@ -236189,13 +243966,11 @@ 8:u10:maps, 16:u13:affiliations, 8:u00:maps, -17:u02:institutional, 16:u03:affiliations, 30:u07:institutional/affiliations, 18:u08:affiliations/., 21:u0A:and/institutional, 16:u12:affiliations, -17:u01:institutional, 16:u02:affiliations, 18:u07:affiliations/., 30:u0A:institutional/affiliations, @@ -236511,7 +244286,6 @@ 9:u0A:ATR/(, 7:u10:atr, 24:u12:universite´bordeaux, -7:u32:aux, 8:u33:eaux, 7:u00:ATR, 24:u02:Universite´Bordeaux, @@ -236804,27 +244578,18 @@ 12:u10:tutoring, 12:u00:tutoring, 15:u0A:PhD/program, -10:u05:Pierre, 12:u06:Demarque, 16:u09:thank/Pierre, -10:u14:pierre, -10:u04:Pierre, 12:u05:Demarque, 16:u08:thank/Pierre, 19:u09:Pierre/Demarque, -10:u13:pierre, 12:u14:demarque, -10:u03:Pierre, 12:u04:Demarque, 12:u06:Terrence, 16:u07:thank/Pierre, 19:u08:Pierre/Demarque, 14:u09:Demarque/,, -10:u12:pierre, 12:u13:demarque, -8:u23:Pier, -8:u33:erre, -10:u02:Pierre, 12:u03:Demarque, 12:u05:Terrence, 10:u06:Girard, @@ -236832,10 +244597,8 @@ 14:u08:Demarque/,, 14:u09:,/Terrence, 16:u0A:thank/Pierre, -10:u11:pierre, 12:u12:demarque, 12:u14:terrence, -10:u01:Pierre, 12:u02:Demarque, 12:u04:Terrence, 10:u05:Girard, @@ -236843,11 +244606,9 @@ 14:u08:,/Terrence, 19:u09:Terrence/Girard, 19:u0A:Pierre/Demarque, -10:u10:pierre, 12:u11:demarque, 12:u13:terrence, 10:u14:girard, -10:u00:Pierre, 12:u01:Demarque, 12:u03:Terrence, 10:u04:Girard, @@ -237032,7 +244793,6 @@ 10:u14:nearby, 10:u04:nearby, 6:u05:OB, -15:u06:association, 14:u08:the/nearby, 13:u09:nearby/OB, 15:u0A:findings/in, @@ -237040,7 +244800,6 @@ 6:u14:ob, 10:u03:nearby, 6:u04:OB, -15:u05:association, 14:u07:the/nearby, 13:u08:nearby/OB, 18:u09:OB/association, @@ -237050,7 +244809,6 @@ 8:u23:near, 10:u02:nearby, 6:u03:OB, -15:u04:association, 13:u07:nearby/OB, 18:u08:OB/association, 24:u09:association/database, @@ -237065,7 +244823,6 @@ 6:u33:OB, 10:u01:nearby, 6:u02:OB, -15:u03:association, 18:u07:OB/association, 24:u08:association/database, 13:u0A:nearby/OB, @@ -237073,14 +244830,11 @@ 6:u11:ob, 10:u00:nearby, 6:u01:OB, -15:u02:association, 24:u07:association/database, 18:u0A:OB/association, 6:u10:ob, 6:u00:OB, -15:u01:association, 24:u0A:association/database, -15:u00:association, 14:u09:thank/Jean, 10:u06:Claude, 14:u08:thank/Jean, @@ -237171,10 +244925,6 @@ 12:u10:velocity, 12:u00:velocity, 14:u0A:data/prior, -13:u09:study/has, -13:u08:study/has, -13:u07:study/has, -13:u0A:study/has, 17:u09:Foundation/to, 17:u08:Foundation/to, 11:u09:to/Yale, @@ -237192,13 +244942,9 @@ 24:u09:Southern/Observatory, 17:u07:Yale/Southern, 24:u08:Southern/Observatory, -17:u09:Observatory/,, 24:u07:Southern/Observatory, -17:u08:Observatory/,, 17:u0A:Yale/Southern, -17:u07:Observatory/,, 24:u0A:Southern/Observatory, -17:u0A:Observatory/,, 10:u06:Simbad, 10:u05:Simbad, 14:u09:the/Simbad, @@ -237433,38 +245179,22 @@ 11:u0A:in/much, 11:u0A:much/of, 9:u09:are/(, -16:u06:alphabetical, 9:u08:are/(, -16:u05:alphabetical, 9:u07:are/(, 19:u09:in/alphabetical, -16:u14:alphabetical, -16:u04:alphabetical, 19:u08:in/alphabetical, -22:u09:alphabetical/order, 9:u0A:are/(, -16:u13:alphabetical, -16:u03:alphabetical, 9:u06:Okkie, 19:u07:in/alphabetical, -22:u08:alphabetical/order, -16:u12:alphabetical, -16:u02:alphabetical, 9:u05:Okkie, -22:u07:alphabetical/order, 11:u09:)/Okkie, 19:u0A:in/alphabetical, -16:u11:alphabetical, 9:u14:okkie, -16:u01:alphabetical, 9:u04:Okkie, 9:u06:Jager, 11:u08:)/Okkie, 12:u09:Okkie/De, -22:u0A:alphabetical/order, -16:u10:alphabetical, 9:u13:okkie, -16:u00:alphabetical, 9:u03:Okkie, 9:u05:Jager, 11:u07:)/Okkie, @@ -237666,7 +245396,6 @@ 8:u33:Klü, 8:u02:Klü, 8:u03:fers, -14:u06:allocation, 13:u07:Klü/fers, 12:u08:fers/for, 14:u0A:Peter/Klü, @@ -237677,46 +245406,35 @@ 8:u33:fers, 8:u01:Klü, 8:u02:fers, -14:u05:allocation, 12:u07:fers/for, 23:u09:generous/allocation, 13:u0A:Klü/fers, 8:u10:klü, 8:u11:fers, -14:u14:allocation, 8:u00:Klü, 8:u01:fers, -14:u04:allocation, 18:u06:diffractometer, 23:u08:generous/allocation, 17:u09:allocation/of, 12:u0A:fers/for, 8:u10:fers, -14:u13:allocation, 8:u00:fers, -14:u03:allocation, 18:u05:diffractometer, 23:u07:generous/allocation, 17:u08:allocation/of, 21:u09:of/diffractometer, -14:u12:allocation, 18:u14:diffractometer, -14:u02:allocation, 18:u04:diffractometer, 17:u07:allocation/of, 21:u08:of/diffractometer, 23:u09:diffractometer/time, 23:u0A:generous/allocation, -14:u11:allocation, 18:u13:diffractometer, -14:u01:allocation, 18:u03:diffractometer, 21:u07:of/diffractometer, 23:u08:diffractometer/time, 17:u0A:allocation/of, -14:u10:allocation, 18:u12:diffractometer, -14:u00:allocation, 18:u02:diffractometer, 23:u07:diffractometer/time, 21:u0A:of/diffractometer, @@ -237779,24 +245497,20 @@ 8:u33:saki, 12:u02:Kawasaki, 20:u07:Kawasaki/Medical, -12:u09:School/(, 16:u0A:the/Kawasaki, 12:u11:kawasaki, 12:u01:Kawasaki, -12:u08:School/(, 8:u09:(/50, 20:u0A:Kawasaki/Medical, 12:u10:kawasaki, 12:u00:Kawasaki, 7:u06:505, -12:u07:School/(, 8:u08:(/50, 8:u09:50/-, 7:u05:505, 8:u07:(/50, 8:u08:50/-, 9:u09:-/505, -12:u0A:School/(, 7:u14:505, 7:u04:505, 6:u06:51, @@ -237913,29 +245627,24 @@ 12:u05:Precious, 11:u06:Samples, 14:u09:"/Precious, -12:u14:precious, 12:u04:Precious, 11:u05:Samples, 14:u08:"/Precious, 20:u09:Precious/Samples, -12:u13:precious, 12:u03:Precious, 11:u04:Samples, 14:u07:"/Precious, 20:u08:Precious/Samples, 13:u09:Samples/", -12:u12:precious, 12:u02:Precious, 11:u03:Samples, 20:u07:Precious/Samples, 13:u08:Samples/", 14:u0A:"/Precious, -12:u11:precious, 12:u01:Precious, 11:u02:Samples, 13:u07:Samples/", 20:u0A:Precious/Samples, -12:u10:precious, 12:u00:Precious, 11:u01:Samples, 15:u09:the/Service, @@ -237985,7 +245694,6 @@ 11:u0A:Rade/de, 8:u10:rade, 16:u12:villefranche, -8:u33:nche, 8:u00:Rade, 16:u02:Villefranche, 20:u07:Villefranche/and, @@ -239182,48 +246890,34 @@ 11:u07:users/., 12:u0A:CI/users, 6:u10:ci, -15:u06:Generalitat, -15:u05:Generalitat, 14:u06:Valenciana, 19:u09:the/Generalitat, -15:u14:generalitat, -15:u04:Generalitat, 14:u05:Valenciana, 19:u08:the/Generalitat, 26:u09:Generalitat/Valenciana, -15:u13:generalitat, 14:u14:valenciana, -15:u03:Generalitat, 14:u04:Valenciana, 6:u06:GV, 19:u07:the/Generalitat, 26:u08:Generalitat/Valenciana, 16:u09:Valenciana/(, -15:u12:generalitat, 14:u13:valenciana, -7:u32:tat, -8:u33:itat, -15:u02:Generalitat, 14:u03:Valenciana, 6:u05:GV, 26:u07:Generalitat/Valenciana, 16:u08:Valenciana/(, 8:u09:(/GV, 19:u0A:the/Generalitat, -15:u11:generalitat, 14:u12:valenciana, 6:u14:gv, -15:u01:Generalitat, 14:u02:Valenciana, 6:u04:GV, 16:u07:Valenciana/(, 8:u08:(/GV, 8:u09:GV/), 26:u0A:Generalitat/Valenciana, -15:u10:generalitat, 14:u11:valenciana, 6:u13:gv, -15:u00:Generalitat, 14:u01:Valenciana, 6:u03:GV, 8:u07:(/GV, @@ -239603,7 +247297,6 @@ 11:u07:-/CPHPS, 14:u08:CPHPS/from, 9:u12:cphps, -6:u21:CP, 7:u22:CPH, 8:u23:CPHP, 7:u32:HPS, @@ -241843,16 +249536,12 @@ 23:u07:Virginia/University, 17:u0A:West/Virginia, 23:u0A:Virginia/University, -17:u09:and/expertise, -17:u08:and/expertise, 20:u09:expertise/during, 8:u06:CRLS, -17:u07:and/expertise, 20:u08:expertise/during, 8:u05:CRLS, 20:u07:expertise/during, 12:u09:the/CRLS, -17:u0A:and/expertise, 8:u14:crls, 8:u04:CRLS, 9:u06:assay, @@ -243324,7 +251013,6 @@ 11:u03:Without, 13:u07:./Without, 15:u08:Without/the, -10:u0A:help/., 11:u02:Without, 15:u07:Without/the, 13:u0A:./Without, @@ -243713,7 +251401,6 @@ 17:u0A:Concertée/of, 14:u10:concertée, 15:u13:communauté, -14:u14:française, 14:u00:Concertée, 15:u03:Communauté, 14:u04:française, @@ -243722,7 +251409,6 @@ 26:u08:Communauté/française, 17:u09:française/de, 15:u12:communauté, -14:u13:française, 8:u32:uté, 9:u33:auté, 15:u02:Communauté, @@ -243733,7 +251419,6 @@ 15:u09:de/Belgique, 19:u0A:the/Communauté, 15:u11:communauté, -14:u12:française, 12:u14:belgique, 8:u23:fran, 15:u01:Communauté, @@ -243744,7 +251429,6 @@ 14:u09:Belgique/., 26:u0A:Communauté/française, 15:u10:communauté, -14:u11:française, 12:u13:belgique, 15:u00:Communauté, 14:u01:française, @@ -243752,7 +251436,6 @@ 15:u07:de/Belgique, 14:u08:Belgique/., 17:u0A:française/de, -14:u10:française, 12:u12:belgique, 14:u00:française, 12:u02:Belgique, @@ -244079,39 +251762,28 @@ 9:u00:Baird, 9:u06:DGIST, 9:u05:DGIST, -9:u06:Start, 13:u09:the/DGIST, 9:u14:dgist, 9:u04:DGIST, -9:u05:Start, 13:u08:the/DGIST, 15:u09:DGIST/Start, 9:u13:dgist, 9:u03:DGIST, -9:u04:Start, 13:u07:the/DGIST, 15:u08:DGIST/Start, -11:u09:Start/-, 9:u12:dgist, 8:u23:DGIS, 8:u33:GIST, 9:u02:DGIST, -9:u03:Start, 15:u07:DGIST/Start, -11:u08:Start/-, 13:u0A:the/DGIST, 9:u11:dgist, 9:u01:DGIST, -9:u02:Start, -11:u07:Start/-, 11:u09:up/Fund, 15:u0A:DGIST/Start, 9:u10:dgist, 9:u00:DGIST, -9:u01:Start, 11:u08:up/Fund, -11:u0A:Start/-, -9:u00:Start, 11:u07:up/Fund, 11:u0A:up/Fund, 9:u09:,/ICT, @@ -244564,7 +252236,6 @@ 10:u10:pp00p2, 10:u12:123438, 8:u14:dvdv, -7:u22:123, 8:u23:1234, 7:u32:438, 8:u33:3438, @@ -245335,7 +253006,6 @@ 10:u03:RLPDRD, 14:u07:the/RLPDRD, 16:u08:RLPDRD/staff, -13:u09:staff/for, 10:u12:rlpdrd, 7:u22:RLP, 8:u23:RLPD, @@ -245343,15 +253013,12 @@ 8:u33:PDRD, 10:u02:RLPDRD, 16:u07:RLPDRD/staff, -13:u08:staff/for, 14:u0A:the/RLPDRD, 10:u11:rlpdrd, 10:u01:RLPDRD, -13:u07:staff/for, 16:u0A:RLPDRD/staff, 10:u10:rlpdrd, 10:u00:RLPDRD, -13:u0A:staff/for, 10:u04:Hosman, 14:u07:_x-1/Laura, 16:u08:Laura/Hosman, @@ -245912,8 +253579,6 @@ 15:u09:Teillon/and, 13:u12:jérémie, 11:u13:teillon, -7:u21:Jé, -8:u22:Jér, 10:u23:Jéré, 7:u32:mie, 9:u33:émie, @@ -246196,7 +253861,6 @@ 13:u09:de/jeunes, 12:u0A:'/Amorç, 10:u11:amorç, -10:u14:jeunes, 10:u01:Amorç, 10:u04:jeunes, 6:u05:é, @@ -246206,7 +253870,6 @@ 13:u09:jeunes/é, 14:u0A:Amorç/age, 10:u10:amorç, -10:u13:jeunes, 6:u14:é, 10:u00:Amorç, 10:u03:jeunes, @@ -246216,7 +253879,6 @@ 13:u08:jeunes/é, 13:u09:é/quipes, 10:u0A:age/de, -10:u12:jeunes, 6:u13:é, 10:u14:quipes, 10:u02:jeunes, @@ -246226,7 +253888,6 @@ 13:u08:é/quipes, 12:u09:quipes/', 13:u0A:de/jeunes, -10:u11:jeunes, 6:u12:é, 10:u13:quipes, 6:u20:é, @@ -246243,7 +253904,6 @@ 12:u08:quipes/', 13:u09:'/program, 13:u0A:jeunes/é, -10:u10:jeunes, 6:u11:é, 10:u12:quipes, 8:u23:quip, @@ -246283,67 +253943,21 @@ 15:u0A:(/AJE201106, 13:u11:aje201106, 13:u01:AJE201106, -8:u06:pour, -17:u09:the/Fondation, 15:u0A:AJE201106/), 13:u10:aje201106, 13:u00:AJE201106, -8:u05:pour, -17:u08:the/Fondation, -18:u09:Fondation/pour, -8:u14:pour, -8:u04:pour, -17:u07:the/Fondation, -18:u08:Fondation/pour, -11:u09:pour/la, -8:u13:pour, -8:u03:pour, -13:u06:Médicale, -18:u07:Fondation/pour, -11:u08:pour/la, -17:u0A:the/Fondation, -8:u12:pour, -7:u22:pou, -8:u23:pour, -8:u33:pour, -8:u02:pour, -13:u05:Médicale, -11:u07:pour/la, -23:u09:Recherche/Médicale, -18:u0A:Fondation/pour, -8:u11:pour, -13:u14:médicale, -8:u01:pour, -13:u04:Médicale, -23:u08:Recherche/Médicale, 15:u09:Médicale/(, -11:u0A:pour/la, -8:u10:pour, -13:u13:médicale, -8:u00:pour, -13:u03:Médicale, 6:u06:AF, -23:u07:Recherche/Médicale, 15:u08:Médicale/(, -13:u12:médicale, -8:u22:Méd, -9:u23:Médi, -8:u33:cale, -13:u02:Médicale, 6:u05:AF, 15:u07:Médicale/(, 9:u09:to/AF, -23:u0A:Recherche/Médicale, -13:u11:médicale, 6:u14:af, -13:u01:Médicale, 6:u04:AF, 9:u08:to/AF, 8:u09:AF/), 15:u0A:Médicale/(, -13:u10:médicale, 6:u13:af, -13:u00:Médicale, 6:u03:AF, 9:u07:to/AF, 8:u08:AF/), @@ -248061,7 +255675,6 @@ 8:u13:dspa, 8:u03:Dspa, 8:u05:pMAD, -10:u06:vector, 12:u07:132/Dspa, 12:u08:Dspa/and, 12:u09:and/pMAD, @@ -248075,24 +255688,20 @@ 8:u33:Dspa, 8:u02:Dspa, 8:u04:pMAD, -10:u05:vector, 12:u07:Dspa/and, 12:u08:and/pMAD, 15:u09:pMAD/vector, 12:u0A:132/Dspa, 8:u11:dspa, 8:u13:pmad, -10:u14:vector, 8:u01:Dspa, 8:u03:pMAD, -10:u04:vector, 12:u07:and/pMAD, 15:u08:pMAD/vector, 12:u09:vector/., 12:u0A:Dspa/and, 8:u10:dspa, 8:u12:pmad, -10:u13:vector, 6:u21:pM, 7:u22:pMA, 8:u23:pMAD, @@ -248100,23 +255709,16 @@ 8:u33:pMAD, 8:u00:Dspa, 8:u02:pMAD, -10:u03:vector, 15:u07:pMAD/vector, 12:u08:vector/., 12:u0A:and/pMAD, 8:u11:pmad, -10:u12:vector, 8:u01:pMAD, -10:u02:vector, 12:u07:vector/., 15:u0A:pMAD/vector, 8:u10:pmad, -10:u11:vector, 8:u00:pMAD, -10:u01:vector, 12:u0A:vector/., -10:u10:vector, -10:u00:vector, 10:u06:Foster, 10:u05:Foster, 12:u09:./Foster, @@ -248974,7 +256576,6 @@ 13:u10:sponholtz, 13:u12:sudharsan, 14:u13:dwaraknath, -7:u22:Sud, 8:u23:Sudh, 8:u33:rsan, 13:u00:Sponholtz, @@ -249264,7 +256865,6 @@ 18:u07:grant/DK082722, 14:u08:DK082722/., 12:u12:dk082722, -7:u32:722, 8:u33:2722, 12:u02:DK082722, 14:u07:DK082722/., @@ -249747,34 +257347,27 @@ 23:u0A:Reynolds/Foundation, 12:u10:reynolds, 12:u00:Reynolds, -15:u06:Initiatives, 17:u08:for/Geriatric, 22:u09:Geriatric/Training, 22:u0A:Foundation/Program, -15:u05:Initiatives, 17:u07:for/Geriatric, 22:u08:Geriatric/Training, 24:u09:Training/Initiatives, -15:u04:Initiatives, 22:u07:Geriatric/Training, 24:u08:Training/Initiatives, 17:u09:Initiatives/., 17:u0A:for/Geriatric, -15:u03:Initiatives, 24:u07:Training/Initiatives, 17:u08:Initiatives/., 22:u0A:Geriatric/Training, -15:u02:Initiatives, 12:u06:retained, 17:u07:Initiatives/., 21:u09:The/investigators, 24:u0A:Training/Initiatives, -15:u01:Initiatives, 12:u05:retained, 26:u09:investigators/retained, 17:u0A:Initiatives/., 12:u14:retained, -15:u00:Initiatives, 12:u04:retained, 16:u06:independence, 26:u08:investigators/retained, @@ -251631,26 +259224,18 @@ 18:u0A:and/laboratory, 16:u07:studies/were, 16:u0A:studies/were, -9:u06:Grace, -9:u05:Grace, 12:u09:Ms/Grace, -9:u04:Grace, 12:u08:Ms/Grace, 15:u09:Grace/Kelly, -9:u03:Grace, 12:u07:Ms/Grace, 15:u08:Grace/Kelly, 13:u09:Kelly/for, -8:u23:Grac, -9:u02:Grace, 15:u07:Grace/Kelly, 13:u08:Kelly/for, 12:u0A:Ms/Grace, -9:u01:Grace, 11:u06:scoring, 13:u07:Kelly/for, 15:u0A:Grace/Kelly, -9:u00:Grace, 11:u05:scoring, 14:u09:in/scoring, 13:u0A:Kelly/for, @@ -253325,19 +260910,15 @@ 22:u0A:source/initiatives, 11:u07:such/as, 20:u0A:initiatives/such, -13:u09:R/Project, 11:u0A:such/as, 8:u06:TCGA, -13:u08:R/Project, 8:u05:TCGA, -13:u07:R/Project, 10:u09:,/TCGA, 8:u14:tcga, 8:u04:TCGA, 14:u06:cBioPortal, 10:u08:,/TCGA, 10:u09:TCGA/,, -13:u0A:R/Project, 8:u13:tcga, 8:u03:TCGA, 14:u05:cBioPortal, @@ -254551,7 +262132,6 @@ 14:u09:to/Kazuaki, 14:u12:jp16j07949, 11:u14:kazuaki, -8:u23:JP16, 7:u32:949, 8:u33:7949, 14:u02:JP16J07949, @@ -255465,31 +263045,25 @@ 14:u09:was/hosted, 10:u14:hosted, 10:u04:hosted, -15:u06:Université, 14:u08:was/hosted, 13:u09:hosted/by, 15:u0A:The/meeting, 10:u13:hosted, 10:u03:hosted, -15:u05:Université, 14:u06:catholique, 14:u07:was/hosted, 13:u08:hosted/by, 18:u09:by/Université, 10:u12:hosted, -15:u14:université, 10:u02:hosted, -15:u04:Université, 14:u05:catholique, 13:u07:hosted/by, 18:u08:by/Université, 26:u09:Université/catholique, 14:u0A:was/hosted, 10:u11:hosted, -15:u13:université, 14:u14:catholique, 10:u01:hosted, -15:u03:Université, 14:u04:catholique, 11:u06:Louvain, 18:u07:by/Université, @@ -255497,33 +263071,26 @@ 17:u09:catholique/de, 13:u0A:hosted/by, 10:u10:hosted, -15:u12:université, 14:u13:catholique, -9:u33:sité, 10:u00:hosted, -15:u02:Université, 14:u03:catholique, 11:u05:Louvain, 26:u07:Université/catholique, 17:u08:catholique/de, 14:u09:de/Louvain, 18:u0A:by/Université, -15:u11:université, 14:u12:catholique, 11:u14:louvain, 7:u22:cat, 8:u23:cath, -15:u01:Université, 14:u02:catholique, 11:u04:Louvain, 17:u07:catholique/de, 14:u08:de/Louvain, 13:u09:Louvain/,, 26:u0A:Université/catholique, -15:u10:université, 14:u11:catholique, 11:u13:louvain, -15:u00:Université, 14:u01:catholique, 11:u03:Louvain, 14:u07:de/Louvain, @@ -255605,7 +263172,6 @@ 13:u07:./Monappa, 13:u08:Monappa/,, 11:u12:monappa, -8:u23:Mona, 7:u32:ppa, 8:u33:appa, 11:u02:Monappa, @@ -256060,13 +263626,9 @@ 23:u09:equally/contributed, 15:u07:are/equally, 23:u08:equally/contributed, -18:u09:contributed/in, 23:u07:equally/contributed, -18:u08:contributed/in, 15:u0A:are/equally, -18:u07:contributed/in, 23:u0A:equally/contributed, -18:u0A:contributed/in, 12:u06:Alburger, 12:u05:Alburger, 14:u09:./Alburger, @@ -256426,29 +263988,22 @@ 13:u07:made/with, 15:u09:the/Spitzer, 21:u0A:observations/made, -13:u06:Telescope, 15:u08:the/Spitzer, 17:u09:Spitzer/Space, 13:u0A:made/with, -13:u05:Telescope, 15:u07:the/Spitzer, 17:u08:Spitzer/Space, 19:u09:Space/Telescope, -13:u04:Telescope, 17:u07:Spitzer/Space, 19:u08:Space/Telescope, 15:u09:Telescope/,, 15:u0A:the/Spitzer, -13:u03:Telescope, 19:u07:Space/Telescope, 15:u08:Telescope/,, 17:u0A:Spitzer/Space, -13:u02:Telescope, 15:u07:Telescope/,, 19:u0A:Space/Telescope, -13:u01:Telescope, 15:u0A:Telescope/,, -13:u00:Telescope, 20:u09:Technology/under, 20:u08:Technology/under, 20:u07:Technology/under, @@ -256467,13 +264022,10 @@ 10:u0A:NASA/., 16:u09:NASA/through, 16:u08:NASA/through, -14:u09:through/an, 10:u06:issued, 16:u07:NASA/through, -14:u08:through/an, 12:u09:an/award, 10:u05:issued, -14:u07:through/an, 12:u08:an/award, 16:u09:award/issued, 16:u0A:NASA/through, @@ -256483,7 +264035,6 @@ 12:u07:an/award, 16:u08:award/issued, 13:u09:issued/by, -14:u0A:through/an, 10:u13:issued, 10:u03:issued, 7:u05:JPL, @@ -256548,37 +264099,30 @@ 14:u0A:./Herschel, 12:u11:herschel, 12:u01:Herschel, -15:u06:observatory, 10:u08:an/ESA, 13:u09:ESA/space, 15:u0A:Herschel/is, 12:u10:herschel, 12:u00:Herschel, -15:u05:observatory, 10:u07:an/ESA, 13:u08:ESA/space, 21:u09:space/observatory, -15:u04:observatory, 13:u07:ESA/space, 21:u08:space/observatory, 20:u09:observatory/with, 10:u0A:an/ESA, -15:u03:observatory, 21:u07:space/observatory, 20:u08:observatory/with, 16:u09:with/science, 13:u0A:ESA/space, -15:u02:observatory, 20:u07:observatory/with, 16:u08:with/science, 23:u09:science/instruments, 21:u0A:space/observatory, -15:u01:observatory, 16:u07:with/science, 23:u08:science/instruments, 24:u09:instruments/provided, 20:u0A:observatory/with, -15:u00:observatory, 23:u07:science/instruments, 24:u08:instruments/provided, 16:u0A:with/science, @@ -256677,35 +264221,17 @@ 17:u07:of/institutes, 18:u08:institutes/led, 17:u0A:consortium/of, -8:u06:Univ, 18:u07:institutes/led, 14:u09:by/Cardiff, 17:u0A:of/institutes, -8:u05:Univ, 14:u08:by/Cardiff, 16:u09:Cardiff/Univ, 18:u0A:institutes/led, -8:u14:univ, -8:u04:Univ, 14:u07:by/Cardiff, 16:u08:Cardiff/Univ, -10:u09:Univ/., -8:u13:univ, -8:u03:Univ, 16:u07:Cardiff/Univ, -10:u08:Univ/., 14:u0A:by/Cardiff, -8:u12:univ, -7:u32:niv, -8:u33:Univ, -8:u02:Univ, -10:u07:Univ/., 16:u0A:Cardiff/Univ, -8:u11:univ, -8:u01:Univ, -10:u0A:Univ/., -8:u10:univ, -8:u00:Univ, 17:u09:and/including, 17:u08:and/including, 15:u09:including/:, @@ -257819,7 +265345,6 @@ 13:u0A:,/Jolanda, 11:u11:jolanda, 12:u12:klaassen, -10:u14:astrid, 8:u23:Klaa, 11:u01:Jolanda, 12:u02:Klaassen, @@ -257831,7 +265356,6 @@ 20:u0A:Jolanda/Klaassen, 11:u10:jolanda, 12:u11:klaassen, -10:u13:astrid, 13:u14:pouwelsen, 11:u00:Jolanda, 12:u01:Klaassen, @@ -257842,7 +265366,6 @@ 17:u09:Pouwelsen/and, 14:u0A:Klaassen/,, 12:u10:klaassen, -10:u12:astrid, 13:u13:pouwelsen, 8:u33:trid, 12:u00:Klaassen, @@ -257853,7 +265376,6 @@ 17:u08:Pouwelsen/and, 18:u09:and/Jacqueline, 12:u0A:,/Astrid, -10:u11:astrid, 13:u12:pouwelsen, 8:u23:Pouw, 10:u01:Astrid, @@ -257863,7 +265385,6 @@ 18:u08:and/Jacqueline, 21:u09:Jacqueline/Kuhnen, 20:u0A:Astrid/Pouwelsen, -10:u10:astrid, 13:u11:pouwelsen, 10:u14:kuhnen, 10:u00:Astrid, @@ -259184,41 +266705,26 @@ 12:u08:Health/-, 12:u07:Health/-, 12:u0A:Health/-, -9:u09:as/by, -11:u06:Numbers, -9:u08:as/by, -11:u05:Numbers, 15:u06:U01MH093349, -9:u07:as/by, -17:u09:Grant/Numbers, -11:u04:Numbers, 15:u05:U01MH093349, -17:u08:Grant/Numbers, 23:u09:Numbers/U01MH093349, -9:u0A:as/by, 15:u14:u01mh093349, -11:u03:Numbers, 15:u04:U01MH093349, -17:u07:Grant/Numbers, 23:u08:Numbers/U01MH093349, 18:u09:U01MH093349/to, 15:u13:u01mh093349, -11:u02:Numbers, 15:u03:U01MH093349, 23:u07:Numbers/U01MH093349, 18:u08:U01MH093349/to, 13:u09:to/Nathan, -17:u0A:Grant/Numbers, 15:u12:u01mh093349, 8:u23:U01M, -11:u01:Numbers, 15:u02:U01MH093349, 18:u07:U01MH093349/to, 13:u08:to/Nathan, 12:u09:Nathan/A, 23:u0A:Numbers/U01MH093349, 15:u11:u01mh093349, -11:u00:Numbers, 15:u01:U01MH093349, 13:u07:to/Nathan, 12:u08:Nathan/A, @@ -260629,10 +268135,7 @@ 16:u08:results/have, 16:u07:results/have, 16:u0A:results/have, -21:u09:French/Government, -21:u08:French/Government, 19:u09:Government/_x+1, -21:u07:French/Government, 19:u08:Government/_x+1, 17:u09:financed/from, 17:u08:financed/from, @@ -265062,7 +272565,6 @@ 12:u08:gifts/of, 11:u09:of/cDNA, 9:u12:gifts, -8:u33:ifts, 9:u02:gifts, 8:u06:TASK, 12:u07:gifts/of, @@ -265688,7 +273190,6 @@ 20:u08:Operations/Teams, 11:u09:Teams/., 18:u0A:Instrument/and, -14:u10:instrument, 14:u00:Instrument, 9:u03:Teams, 20:u07:Operations/Teams, @@ -265775,7 +273276,6 @@ 19:u0A:Spectrometers/(, 17:u10:spectrometers, 8:u12:isis, -7:u22:ISI, 8:u23:ISIS, 8:u33:ISIS, 17:u00:Spectrometers, @@ -266225,7 +273725,6 @@ 14:u09:Québec/en, 11:u13:québec, 11:u03:Québec, -7:u06:sur, 14:u07:du/Québec, 14:u08:Québec/en, 16:u09:en/Recherche, @@ -266235,45 +273734,27 @@ 9:u23:Québ, 9:u33:ébec, 11:u02:Québec, -7:u05:sur, 14:u07:Québec/en, 16:u08:en/Recherche, -17:u09:Recherche/sur, 14:u0A:du/Québec, 11:u11:québec, -7:u14:sur, 11:u01:Québec, -7:u04:sur, 16:u07:en/Recherche, -17:u08:Recherche/sur, 10:u09:sur/la, 14:u0A:Québec/en, 11:u10:québec, -7:u13:sur, 11:u00:Québec, -7:u03:sur, -17:u07:Recherche/sur, 10:u08:sur/la, 13:u09:la/Nature, 16:u0A:en/Recherche, -7:u12:sur, -7:u23:sur, -7:u32:sur, -7:u33:sur, -7:u02:sur, 10:u07:sur/la, 13:u08:la/Nature, 13:u09:Nature/et, -17:u0A:Recherche/sur, -7:u11:sur, -7:u01:sur, 15:u06:Technologie, 13:u07:la/Nature, 13:u08:Nature/et, 9:u09:et/la, 10:u0A:sur/la, -7:u10:sur, -7:u00:sur, 15:u05:Technologie, 13:u07:Nature/et, 9:u08:et/la, @@ -266567,7 +274048,6 @@ 10:u13:295216, 7:u22:WIR, 8:u23:WIRO, -6:u31:OX, 7:u32:ROX, 8:u33:IROX, 10:u00:299490, @@ -267400,9 +274880,6 @@ 11:u07:below/., 11:u0A:]/below, 9:u11:below, -16:u08:Funding/from, -16:u07:Funding/from, -16:u0A:Funding/from, 10:u06:NPCRDC, 10:u05:NPCRDC, 13:u09:to/NPCRDC, @@ -267733,17 +275210,13 @@ 8:u33:anxi, 10:u02:Shanxi, 19:u07:Shanxi/Province, -11:u09:,/Start, 15:u0A:from/Shanxi, 10:u11:shanxi, 10:u01:Shanxi, -11:u08:,/Start, 19:u0A:Shanxi/Province, 10:u10:shanxi, 10:u00:Shanxi, -11:u07:,/Start, 12:u09:up/Funds, -11:u0A:,/Start, 8:u06:NWPU, 12:u08:up/Funds, 8:u05:NWPU, @@ -267761,7 +275234,6 @@ 8:u12:nwpu, 7:u22:NWP, 8:u23:NWPU, -6:u31:PU, 7:u32:WPU, 8:u33:NWPU, 8:u02:NWPU, @@ -268715,7 +276187,6 @@ 12:u14:exterior, 17:u02:photographing, 12:u04:exterior, -7:u06:one, 21:u07:photographing/the, 16:u08:the/exterior, 15:u09:exterior/of, @@ -268724,38 +276195,25 @@ 12:u13:exterior, 17:u01:photographing, 12:u03:exterior, -7:u05:one, 16:u07:the/exterior, 15:u08:exterior/of, -10:u09:of/one, 21:u0A:photographing/the, 17:u10:photographing, 12:u12:exterior, 17:u00:photographing, 12:u02:exterior, -7:u04:one, 15:u07:exterior/of, -10:u08:of/one, 10:u09:one/of, 16:u0A:the/exterior, 12:u11:exterior, 12:u01:exterior, -7:u03:one, -10:u07:of/one, 10:u08:one/of, 15:u0A:exterior/of, 12:u10:exterior, -7:u22:one, -7:u23:one, -7:u33:one, 12:u00:exterior, -7:u02:one, 10:u07:one/of, -10:u0A:of/one, -7:u01:one, 11:u09:cones/., 10:u0A:one/of, -7:u00:one, 11:u08:cones/., 11:u07:cones/., 14:u09:thank/Will, @@ -269820,7 +277278,6 @@ 13:u0A:Atomic/to, 14:u12:mesoscopic, 10:u13:scales, -8:u23:Meso, 10:u00:Atomic, 14:u02:Mesoscopic, 10:u03:Scales, @@ -270287,20 +277744,16 @@ 19:u0A:(/ClinicIMPPACT, 17:u11:clinicimppact, 17:u01:ClinicIMPPACT, -16:u09:agreement/no, 19:u0A:ClinicIMPPACT/,, 17:u10:clinicimppact, 17:u00:ClinicIMPPACT, 10:u06:610886, -16:u08:agreement/no, 10:u05:610886, -16:u07:agreement/no, 12:u09:./610886, 10:u14:610886, 10:u04:610886, 12:u08:./610886, 12:u09:610886/), -16:u0A:agreement/no, 10:u13:610886, 10:u03:610886, 11:u06:Generic, @@ -270333,7 +277786,6 @@ 11:u12:generic, 11:u02:Generic, 7:u05:end, -14:u06:Simulation, 16:u07:Generic/Open, 10:u08:Open/-, 9:u09:-/end, @@ -270342,7 +277794,6 @@ 7:u14:end, 11:u01:Generic, 7:u04:end, -14:u05:Simulation, 10:u07:Open/-, 9:u08:-/end, 18:u09:end/Simulation, @@ -270351,7 +277802,6 @@ 7:u13:end, 11:u00:Generic, 7:u03:end, -14:u04:Simulation, 9:u07:-/end, 18:u08:end/Simulation, 26:u09:Simulation/Environment, @@ -270360,16 +277810,13 @@ 7:u23:end, 7:u33:end, 7:u02:end, -14:u03:Simulation, 13:u06:Minimally, 18:u07:end/Simulation, 26:u08:Simulation/Environment, 19:u09:Environment/for, 9:u0A:-/end, 7:u11:end, -8:u23:Simu, 7:u01:end, -14:u02:Simulation, 13:u05:Minimally, 26:u07:Simulation/Environment, 19:u08:Environment/for, @@ -270378,14 +277825,12 @@ 7:u10:end, 13:u14:minimally, 7:u00:end, -14:u01:Simulation, 13:u04:Minimally, 19:u07:Environment/for, 17:u08:for/Minimally, 22:u09:Minimally/Invasive, 26:u0A:Simulation/Environment, 13:u13:minimally, -14:u00:Simulation, 13:u03:Minimally, 17:u07:for/Minimally, 22:u08:Minimally/Invasive, @@ -270622,7 +278067,6 @@ 16:u08:BioTechMed/-, 10:u09:-/Graz, 14:u12:biotechmed, -8:u23:BioT, 8:u33:hMed, 14:u02:BioTechMed, 16:u07:BioTechMed/-, @@ -273223,36 +280667,24 @@ 16:u0A:contents/are, 12:u10:contents, 12:u00:contents, -12:u06:Emerging, -12:u05:Emerging, 10:u06:Fields, 16:u09:the/Emerging, -12:u14:emerging, -12:u04:Emerging, 10:u05:Fields, 16:u08:the/Emerging, 19:u09:Emerging/Fields, -12:u13:emerging, -12:u03:Emerging, 10:u04:Fields, 16:u07:the/Emerging, 19:u08:Emerging/Fields, 21:u09:Fields/Initiative, -12:u12:emerging, -12:u02:Emerging, 10:u03:Fields, 19:u07:Emerging/Fields, 21:u08:Fields/Initiative, 19:u09:Initiative/from, 16:u0A:the/Emerging, -12:u11:emerging, -12:u01:Emerging, 10:u02:Fields, 21:u07:Fields/Initiative, 19:u08:Initiative/from, 19:u0A:Emerging/Fields, -12:u10:emerging, -12:u00:Emerging, 10:u01:Fields, 19:u07:Initiative/from, 21:u0A:Fields/Initiative, @@ -275035,44 +282467,29 @@ 15:u09:accessed/in, 20:u0A:calculations/can, 15:u08:accessed/in, -11:u06:package, 15:u07:accessed/in, -11:u05:package, 19:u06:LakeMetabolizer, 13:u09:R/package, 15:u0A:accessed/in, -11:u14:package, -11:u04:package, 19:u05:LakeMetabolizer, 13:u08:R/package, 27:u09:package/LakeMetabolizer, -11:u13:package, 19:u14:lakemetabolizer, -11:u03:package, 19:u04:LakeMetabolizer, 13:u07:R/package, 27:u08:package/LakeMetabolizer, 21:u09:LakeMetabolizer/., -11:u12:package, 19:u13:lakemetabolizer, -7:u22:pac, -8:u23:pack, -8:u33:kage, -11:u02:package, 19:u03:LakeMetabolizer, 27:u07:package/LakeMetabolizer, 21:u08:LakeMetabolizer/., 13:u0A:R/package, -11:u11:package, 19:u12:lakemetabolizer, -11:u01:package, 19:u02:LakeMetabolizer, 21:u07:LakeMetabolizer/., 9:u09:We/do, 27:u0A:package/LakeMetabolizer, -11:u10:package, 19:u11:lakemetabolizer, -11:u00:package, 19:u01:LakeMetabolizer, 9:u08:We/do, 21:u0A:LakeMetabolizer/., @@ -275692,7 +283109,6 @@ 15:u09:01DK13008/), 7:u12:fdk, 13:u13:01dk13008, -6:u21:FD, 7:u22:FDK, 7:u23:FDK, 7:u32:FDK, @@ -276535,28 +283951,16 @@ 18:u0A:Toledo/Medical, 10:u10:toledo, 10:u00:Toledo, -17:u06:Neurosciences, -17:u05:Neurosciences, 20:u09:of/Neurosciences, -17:u14:neurosciences, -17:u04:Neurosciences, 20:u08:of/Neurosciences, 21:u09:Neurosciences/for, -17:u13:neurosciences, -17:u03:Neurosciences, 20:u07:of/Neurosciences, 21:u08:Neurosciences/for, -17:u12:neurosciences, -17:u02:Neurosciences, 21:u07:Neurosciences/for, 20:u0A:of/Neurosciences, -17:u11:neurosciences, -17:u01:Neurosciences, 11:u06:culture, 20:u09:advice/regarding, 21:u0A:Neurosciences/for, -17:u10:neurosciences, -17:u00:Neurosciences, 11:u05:culture, 20:u08:advice/regarding, 21:u09:regarding/culture, @@ -276950,16 +284354,12 @@ 12:u08:for/work, 22:u0A:logistical/support, 12:u07:for/work, -11:u09:at/this, -11:u08:at/this, 13:u09:this/site, 12:u0A:for/work, -11:u07:at/this, 13:u08:this/site, 13:u09:site/over, 13:u07:this/site, 13:u08:site/over, -11:u0A:at/this, 13:u07:site/over, 13:u0A:this/site, 6:u06:yr, @@ -277286,14 +284686,12 @@ 19:u08:and/Information, 24:u09:Information/Congress, 17:u0A:World/Library, -12:u14:congress, 12:u04:Congress, 8:u05:held, 19:u07:and/Information, 24:u08:Information/Congress, 17:u09:Congress/held, 15:u0A:Library/and, -12:u13:congress, 8:u14:held, 12:u03:Congress, 8:u04:held, @@ -277301,7 +284699,6 @@ 17:u08:Congress/held, 11:u09:held/in, 19:u0A:and/Information, -12:u12:congress, 8:u13:held, 8:u23:Cong, 12:u02:Congress, @@ -277310,7 +284707,6 @@ 11:u08:held/in, 10:u09:in/San, 24:u0A:Information/Congress, -12:u11:congress, 8:u12:held, 8:u23:held, 8:u33:held, @@ -280256,31 +287652,17 @@ 8:u07:./09, 8:u0A:58/., 8:u0A:./09, -12:u06:Humboldt, -12:u05:Humboldt, 16:u09:the/Humboldt, -12:u14:humboldt, -12:u04:Humboldt, 16:u08:the/Humboldt, 14:u09:Humboldt/-, -12:u13:humboldt, -12:u03:Humboldt, 16:u07:the/Humboldt, 14:u08:Humboldt/-, 16:u09:-/Fellowship, -12:u12:humboldt, -8:u23:Humb, -8:u33:oldt, -12:u02:Humboldt, 14:u07:Humboldt/-, 16:u08:-/Fellowship, 16:u0A:the/Humboldt, -12:u11:humboldt, -12:u01:Humboldt, 16:u07:-/Fellowship, 14:u0A:Humboldt/-, -12:u10:humboldt, -12:u00:Humboldt, 16:u0A:-/Fellowship, 7:u06:IM6, 7:u05:IM6, @@ -280849,10 +288231,6 @@ 18:u0A:Jayathileke/of, 15:u10:jayathileke, 15:u00:Jayathileke, -19:u09:Engineering/for, -19:u08:Engineering/for, -19:u07:Engineering/for, -19:u0A:Engineering/for, 16:u06:pumpingtests, 18:u09:and/performing, 16:u05:pumpingtests, @@ -281238,14 +288616,11 @@ 17:u0A:of/intergenic, 18:u07:region/between, 13:u08:between/d, -7:u09:d/-, 8:u06:aMHC, 13:u07:between/d, -7:u08:d/-, 18:u0A:region/between, 8:u05:aMHC, 9:u06:genes, -7:u07:d/-, 12:u09:and/aMHC, 13:u0A:between/d, 8:u14:amhc, @@ -281253,7 +288628,6 @@ 9:u05:genes, 12:u08:and/aMHC, 14:u09:aMHC/genes, -7:u0A:d/-, 8:u13:amhc, 9:u14:genes, 8:u03:aMHC, @@ -281807,45 +289181,30 @@ 12:u09:Furlan/(, 10:u13:furlan, 10:u03:Furlan, -12:u06:Raffaele, 12:u07:R/Furlan, 12:u08:Furlan/(, 9:u09:(/San, 10:u12:furlan, 8:u23:Furl, 10:u02:Furlan, -12:u05:Raffaele, 12:u07:Furlan/(, 9:u08:(/San, 16:u09:San/Raffaele, 12:u0A:R/Furlan, 10:u11:furlan, -12:u14:raffaele, 10:u01:Furlan, -12:u04:Raffaele, 9:u07:(/San, 16:u08:San/Raffaele, 21:u09:Raffaele/Hospital, 12:u0A:Furlan/(, 10:u10:furlan, -12:u13:raffaele, 10:u00:Furlan, -12:u03:Raffaele, 16:u07:San/Raffaele, 21:u08:Raffaele/Hospital, 9:u0A:(/San, -12:u12:raffaele, -7:u22:Raf, -8:u23:Raff, -8:u33:aele, -12:u02:Raffaele, 21:u07:Raffaele/Hospital, 16:u0A:San/Raffaele, -12:u11:raffaele, -12:u01:Raffaele, 21:u0A:Raffaele/Hospital, -12:u10:raffaele, -12:u00:Raffaele, 11:u06:Bergami, 11:u05:Bergami, 13:u09:A/Bergami, @@ -282327,17 +289686,14 @@ 9:u09:of/LN, 6:u14:ln, 6:u04:LN, -6:u06:LR, 9:u08:of/LN, 8:u09:LN/., 6:u13:ln, 6:u03:LN, -6:u05:LR, 9:u07:of/LN, 8:u08:LN/., 8:u09:./LR, 6:u12:ln, -6:u14:lr, 6:u21:LN, 6:u22:LN, 6:u23:LN, @@ -282345,37 +289701,23 @@ 6:u32:LN, 6:u33:LN, 6:u02:LN, -6:u04:LR, 8:u07:LN/., 8:u08:./LR, 18:u09:LR/established, 9:u0A:of/LN, 6:u11:ln, -6:u13:lr, 6:u01:LN, -6:u03:LR, 8:u07:./LR, 18:u08:LR/established, 8:u0A:LN/., 6:u10:ln, -6:u12:lr, -6:u21:LR, -6:u22:LR, -6:u23:LR, -6:u32:LR, -6:u33:LR, 6:u00:LN, -6:u02:LR, 18:u07:LR/established, 20:u09:cultured/neurons, 8:u0A:./LR, -6:u11:lr, -6:u01:LR, 20:u08:cultured/neurons, 15:u09:neurons/and, 18:u0A:LR/established, -6:u10:lr, -6:u00:LR, 20:u07:cultured/neurons, 15:u08:neurons/and, 15:u07:neurons/and, @@ -284663,12 +292005,8 @@ 20:u07:All/measurements, 21:u08:measurements/have, 21:u07:measurements/have, -13:u09:been/done, 20:u0A:All/measurements, -13:u08:been/done, 21:u0A:measurements/have, -13:u07:been/done, -13:u0A:been/done, 15:u06:Procurement, 14:u09:Swiss/Army, 15:u05:Procurement, @@ -285147,30 +292485,25 @@ 14:u12:copenhagen, 7:u22:Cop, 8:u23:Cope, -8:u33:agen, 14:u02:Copenhagen, 10:u06:prints, 16:u07:Copenhagen/), -17:u09:for/producing, 16:u0A:,/Copenhagen, 14:u11:copenhagen, 14:u01:Copenhagen, 10:u05:prints, -17:u08:for/producing, 20:u09:producing/prints, 16:u0A:Copenhagen/), 14:u10:copenhagen, 10:u14:prints, 14:u00:Copenhagen, 10:u04:prints, -17:u07:for/producing, 20:u08:producing/prints, 13:u09:prints/of, 10:u13:prints, 10:u03:prints, 20:u07:producing/prints, 13:u08:prints/of, -17:u0A:for/producing, 10:u12:prints, 10:u02:prints, 13:u07:prints/of, @@ -285525,15 +292858,11 @@ 15:u07:of/Virginia, 17:u08:Virginia/Flow, 17:u07:Virginia/Flow, -18:u09:Cytometry/Core, 15:u0A:of/Virginia, -18:u08:Cytometry/Core, 17:u09:Core/facility, 17:u0A:Virginia/Flow, -18:u07:Cytometry/Core, 17:u08:Core/facility, 17:u07:Core/facility, -18:u0A:Cytometry/Core, 17:u0A:Core/facility, 11:u06:luminex, 11:u05:luminex, @@ -285958,38 +293287,26 @@ 16:u08:Harbater/for, 12:u12:harbater, 12:u02:Harbater, -11:u06:context, 16:u07:Harbater/for, 18:u0A:David/Harbater, 12:u11:harbater, 12:u01:Harbater, -11:u05:context, 16:u09:with/context, 16:u0A:Harbater/for, 12:u10:harbater, -11:u14:context, 12:u00:Harbater, -11:u04:context, 16:u08:with/context, 15:u09:context/and, -11:u13:context, -11:u03:context, 16:u07:with/context, 15:u08:context/and, 18:u09:and/references, -11:u12:context, -11:u02:context, 15:u07:context/and, 18:u08:and/references, 16:u09:references/,, 16:u0A:with/context, -11:u11:context, -11:u01:context, 18:u07:and/references, 16:u08:references/,, 15:u0A:context/and, -11:u10:context, -11:u00:context, 13:u06:Guralnick, 16:u07:references/,, 18:u0A:and/references, @@ -287856,7 +295173,6 @@ 7:u13:oar, 7:u03:OAR, 8:u05:ESRL, -7:u06:PSD, 9:u07://OAR, 9:u08:OAR//, 10:u09://ESRL, @@ -287866,55 +295182,41 @@ 7:u33:OAR, 7:u02:OAR, 8:u04:ESRL, -7:u05:PSD, 9:u07:OAR//, 10:u08://ESRL, 12:u09:ESRL/PSD, 9:u0A://OAR, 7:u11:oar, -7:u14:psd, 7:u01:OAR, 8:u03:ESRL, -7:u04:PSD, 11:u06:Boulder, 10:u07://ESRL, 12:u08:ESRL/PSD, 9:u09:PSD/,, 9:u0A:OAR//, 7:u10:oar, -7:u13:psd, 8:u23:ESRL, 8:u33:ESRL, 7:u00:OAR, 8:u02:ESRL, -7:u03:PSD, 11:u05:Boulder, 12:u07:ESRL/PSD, 9:u08:PSD/,, 13:u09:,/Boulder, 10:u0A://ESRL, -7:u12:psd, 11:u14:boulder, -7:u22:PSD, -7:u23:PSD, -7:u32:PSD, -7:u33:PSD, 8:u01:ESRL, -7:u02:PSD, 11:u04:Boulder, 9:u07:PSD/,, 13:u08:,/Boulder, 13:u09:Boulder/,, 12:u0A:ESRL/PSD, -7:u11:psd, 11:u13:boulder, 8:u00:ESRL, -7:u01:PSD, 11:u03:Boulder, 13:u07:,/Boulder, 13:u08:Boulder/,, 9:u0A:PSD/,, -7:u10:psd, 11:u12:boulder, 8:u23:Boul, 7:u00:PSD, @@ -290653,16 +297955,12 @@ 22:u09:research/community, 20:u07:Project/research, 22:u08:research/community, -17:u09:community/for, 22:u07:research/community, -17:u08:community/for, 20:u0A:Project/research, -17:u07:community/for, 22:u09:providing/sequence, 22:u0A:research/community, 22:u08:providing/sequence, 17:u09:sequence/data, -17:u0A:community/for, 22:u07:providing/sequence, 17:u08:sequence/data, 17:u07:sequence/data, @@ -290684,39 +297982,27 @@ 17:u0A:of/Integrated, 11:u13:genomes, 11:u03:Genomes, -13:u06:platforms, 21:u07:Microbial/Genomes, 15:u08:Genomes/for, 24:u0A:Integrated/Microbial, 11:u12:genomes, 8:u33:omes, 11:u02:Genomes, -13:u05:platforms, 15:u07:Genomes/for, 22:u09:analysis/platforms, 21:u0A:Microbial/Genomes, 11:u11:genomes, -13:u14:platforms, 11:u01:Genomes, -13:u04:platforms, 22:u08:analysis/platforms, 15:u09:platforms/., 15:u0A:Genomes/for, 11:u10:genomes, -13:u13:platforms, 11:u00:Genomes, -13:u03:platforms, 22:u07:analysis/platforms, 15:u08:platforms/., -13:u12:platforms, -13:u02:platforms, 15:u07:platforms/., 22:u0A:analysis/platforms, -13:u11:platforms, -13:u01:platforms, 15:u0A:platforms/., -13:u10:platforms, -13:u00:platforms, 12:u06:HG004857, 12:u05:HG004857, 16:u09:R01/HG004857, @@ -291705,7 +298991,6 @@ 10:u07:-/XBQN, 10:u08:XBQN/-, 8:u12:xbqn, -6:u21:XB, 7:u22:XBQ, 8:u23:XBQN, 6:u31:QN, @@ -292787,7 +300072,6 @@ 10:u13:reveal, 14:u01:consenting, 10:u03:reveal, -11:u06:details, 13:u07:to/reveal, 14:u08:reveal/the, 17:u0A:consenting/to, @@ -292796,38 +300080,26 @@ 8:u33:veal, 14:u00:consenting, 10:u02:reveal, -11:u05:details, 14:u07:reveal/the, 16:u09:case/details, 13:u0A:to/reveal, 10:u11:reveal, -11:u14:details, 10:u01:reveal, -11:u04:details, 16:u08:case/details, 15:u09:details/and, 14:u0A:reveal/the, 10:u10:reveal, -11:u13:details, 10:u00:reveal, -11:u03:details, 16:u07:case/details, 15:u08:details/and, 19:u09:and/photographs, -11:u12:details, -8:u33:ails, -11:u02:details, 15:u07:details/and, 19:u08:and/photographs, 19:u09:photographs/for, 16:u0A:case/details, -11:u11:details, -11:u01:details, 19:u07:and/photographs, 19:u08:photographs/for, 15:u0A:details/and, -11:u10:details, -11:u00:details, 19:u07:photographs/for, 19:u0A:and/photographs, 19:u0A:photographs/for, @@ -294459,12 +301731,8 @@ 10:u0A:was/co, 14:u09:in/context, 14:u08:in/context, -14:u09:context/of, 14:u07:in/context, -14:u08:context/of, -14:u07:context/of, 14:u0A:in/context, -14:u0A:context/of, 18:u06:immobilisation, 18:u05:immobilisation, 22:u09:for/immobilisation, @@ -294478,7 +301746,6 @@ 21:u08:immobilisation/of, 11:u09:of/long, 18:u12:immobilisation, -8:u23:immo, 18:u02:immobilisation, 17:u06:radionuclides, 21:u07:immobilisation/of, @@ -294509,7 +301776,6 @@ 16:u09:by/secondary, 14:u0A:long/lived, 17:u12:radionuclides, -8:u33:ides, 17:u02:radionuclides, 13:u04:secondary, 10:u06:phases, @@ -294563,7 +301829,6 @@ 12:u0A:phases/(, 10:u10:phases, 11:u12:immorad, -8:u23:Immo, 8:u33:oRad, 10:u00:phases, 11:u02:ImmoRad, @@ -295001,10 +302266,6 @@ 12:u0A:Hickey/,, 10:u10:hickey, 10:u00:Hickey, -20:u09:his/contribution, -20:u08:his/contribution, -20:u07:his/contribution, -20:u0A:his/contribution, 13:u06:endocrine, 13:u05:endocrine, 16:u09:of/endocrine, @@ -296691,13 +303952,10 @@ 9:u10:73129, 9:u00:73129, 7:u06:COM, -11:u09:Union/(, 7:u05:COM, -11:u08:Union/(, 9:u09:(/COM, 7:u04:COM, 8:u06:PETE, -11:u07:Union/(, 9:u08:(/COM, 9:u09:COM/-, 7:u03:COM, @@ -296705,7 +303963,6 @@ 9:u07:(/COM, 9:u08:COM/-, 10:u09:-/PETE, -11:u0A:Union/(, 7:u23:COM, 7:u33:COM, 7:u02:COM, @@ -297691,25 +304948,21 @@ 13:u03:Mortality, 17:u07:and/Mortality, 21:u08:Mortality/network, -15:u09:network/and, 18:u0A:Strandings/and, 14:u10:strandings, 13:u12:mortality, 14:u00:Strandings, 13:u02:Mortality, 21:u07:Mortality/network, -15:u08:network/and, 17:u0A:and/Mortality, 13:u11:mortality, 13:u01:Mortality, -15:u07:network/and, 20:u09:all/contributors, 21:u0A:Mortality/network, 13:u10:mortality, 13:u00:Mortality, 20:u08:all/contributors, 19:u09:contributors/to, -15:u0A:network/and, 13:u06:StrandNet, 20:u07:all/contributors, 19:u08:contributors/to, @@ -298265,14 +305518,11 @@ 11:u01:logical, 19:u0A:logical/support, 11:u10:logical, -11:u08:We/made, 18:u09:made/extensive, -11:u07:We/made, 18:u08:made/extensive, 17:u09:extensive/use, 18:u07:made/extensive, 17:u08:extensive/use, -11:u0A:We/made, 12:u06:McMaster, 17:u07:extensive/use, 18:u0A:made/extensive, @@ -299796,7 +307046,6 @@ 26:u08:Bournemouth/University, 19:u0A:and/acknowledge, 15:u12:bournemouth, -8:u23:Bour, 15:u02:Bournemouth, 26:u07:Bournemouth/University, 27:u0A:acknowledge/Bournemouth, @@ -299843,7 +307092,6 @@ 8:u12:nust, 7:u22:NUS, 8:u23:NUST, -7:u32:UST, 8:u33:NUST, 8:u02:NUST, 10:u07:NUST/), @@ -300757,47 +308005,28 @@ 12:u08:public/., 11:u09:./nhlbi, 9:u04:nhlbi, -7:u06:nih, 12:u07:public/., 11:u08:./nhlbi, 11:u09:nhlbi/., 12:u0A://public, 9:u03:nhlbi, -7:u05:nih, 11:u07:./nhlbi, 11:u08:nhlbi/., -9:u09:./nih, 12:u0A:public/., 7:u22:nhl, 8:u23:nhlb, 7:u32:lbi, 8:u33:hlbi, 9:u02:nhlbi, -7:u04:nih, 11:u07:nhlbi/., -9:u08:./nih, -9:u09:nih/., 11:u0A:./nhlbi, 9:u01:nhlbi, -7:u03:nih, -9:u07:./nih, -9:u08:nih/., 11:u0A:nhlbi/., -7:u22:nih, -7:u23:nih, -7:u32:nih, -7:u33:nih, 9:u00:nhlbi, -7:u02:nih, 20:u06:GeneticsGenomics, -9:u07:nih/., -9:u0A:./nih, -7:u01:nih, 20:u05:GeneticsGenomics, 22:u09://GeneticsGenomics, -9:u0A:nih/., 20:u14:geneticsgenomics, -7:u00:nih, 20:u04:GeneticsGenomics, 8:u06:home, 22:u08://GeneticsGenomics, @@ -301001,8 +308230,6 @@ 13:u0A:EPEAEK/II, 10:u10:epeaek, 14:u12:pythagoras, -7:u22:PYT, -8:u23:PYTH, 8:u33:ORAS, 10:u00:EPEAEK, 14:u02:PYTHAGORAS, @@ -301806,38 +309033,26 @@ 18:u09:for/Behavioral, 18:u08:for/Behavioral, 18:u09:Behavioral/and, -13:u06:Therapies, 18:u07:for/Behavioral, 18:u08:Behavioral/and, 17:u09:and/Cognitive, -13:u05:Therapies, 18:u07:Behavioral/and, 17:u08:and/Cognitive, 23:u09:Cognitive/Therapies, 18:u0A:for/Behavioral, -13:u14:therapies, -13:u04:Therapies, 17:u07:and/Cognitive, 23:u08:Cognitive/Therapies, 15:u09:Therapies/,, 18:u0A:Behavioral/and, -13:u13:therapies, -13:u03:Therapies, 23:u07:Cognitive/Therapies, 15:u08:Therapies/,, 17:u0A:and/Cognitive, -13:u12:therapies, -13:u02:Therapies, 15:u07:Therapies/,, 14:u09:November/,, 23:u0A:Cognitive/Therapies, -13:u11:therapies, -13:u01:Therapies, 14:u08:November/,, 13:u09:,/Orlando, 15:u0A:Therapies/,, -13:u10:therapies, -13:u00:Therapies, 6:u06:FL, 14:u07:November/,, 13:u08:,/Orlando, @@ -302895,30 +310110,22 @@ 13:u03:Expertise, 16:u07:of/Expertise, 16:u08:Expertise/in, -14:u09:in/Biology, 13:u02:Expertise, 16:u07:Expertise/in, -14:u08:in/Biology, -14:u09:Biology/of, 16:u0A:of/Expertise, 13:u01:Expertise, 10:u06:stress, -14:u07:in/Biology, -14:u08:Biology/of, 20:u09:of/Environmental, 16:u0A:Expertise/in, 13:u00:Expertise, 10:u05:stress, -14:u07:Biology/of, 20:u08:of/Environmental, 24:u09:Environmental/stress, -14:u0A:in/Biology, 10:u14:stress, 10:u04:stress, 20:u07:of/Environmental, 24:u08:Environmental/stress, 14:u09:stress/and, -14:u0A:Biology/of, 10:u13:stress, 10:u03:stress, 14:u06:Assessment, @@ -303080,17 +310287,13 @@ 15:u00:R01CA086072, 15:u02:R01CA137494, 17:u07:R01CA137494/,, -7:u09:(/R, 17:u0A:,/R01CA137494, 15:u11:r01ca137494, 15:u01:R01CA137494, -7:u08:(/R, 17:u0A:R01CA137494/,, 15:u10:r01ca137494, 15:u00:R01CA137494, -7:u07:(/R, 11:u06:Pestell, -7:u0A:(/R, 11:u05:Pestell, 13:u09:./Pestell, 11:u14:pestell, @@ -304162,7 +311365,6 @@ 15:u0A:and/Philipp, 13:u12:trikolidi, 8:u23:Trik, -7:u32:idi, 8:u33:lidi, 13:u02:Trikolidi, 17:u07:Trikolidi/for, @@ -304991,7 +312193,6 @@ 14:u08:Aurias/for, 13:u0A:and/Alain, 10:u12:aurias, -8:u23:Auri, 10:u02:Aurias, 14:u07:Aurias/for, 16:u0A:Alain/Aurias, @@ -305000,33 +312201,7 @@ 14:u0A:Aurias/for, 10:u10:aurias, 10:u00:Aurias, -10:u06:Santé, -10:u05:Santé, -13:u09:la/Santé, -10:u14:santé, -10:u04:Santé, -13:u08:la/Santé, -13:u09:Santé/et, -10:u13:santé, -10:u03:Santé, -13:u07:la/Santé, -13:u08:Santé/et, -10:u12:santé, -8:u32:nté, -9:u33:anté, -10:u02:Santé, -13:u07:Santé/et, -13:u0A:la/Santé, -10:u11:santé, -10:u01:Santé, -13:u0A:Santé/et, -10:u10:santé, -10:u00:Santé, -15:u09:Médicale/,, -15:u08:Médicale/,, -15:u07:Médicale/,, 18:u09:Institut/Curie, -15:u0A:Médicale/,, 18:u08:Institut/Curie, 11:u09:Curie/,, 18:u07:Institut/Curie, @@ -305951,7 +313126,6 @@ 11:u13:potsdam, 13:u01:Berlepsch, 11:u03:Potsdam, -10:u06:Pierre, 13:u07:,/Potsdam, 13:u08:Potsdam/,, 15:u0A:Berlepsch/,, @@ -306962,59 +314136,42 @@ 9:u06:Broad, 14:u0A:Rachel/Kim, 9:u05:Broad, -8:u06:Stem, 14:u09:UCLA/Broad, 9:u14:broad, 9:u04:Broad, -8:u05:Stem, 14:u08:UCLA/Broad, 14:u09:Broad/Stem, 9:u13:broad, -8:u14:stem, 9:u03:Broad, -8:u04:Stem, 14:u07:UCLA/Broad, 14:u08:Broad/Stem, 13:u09:Stem/Cell, 9:u12:broad, -8:u13:stem, 7:u32:oad, 8:u33:road, 9:u02:Broad, -8:u03:Stem, 14:u07:Broad/Stem, 13:u08:Stem/Cell, 15:u09:Cell/Center, 14:u0A:UCLA/Broad, 9:u11:broad, -8:u12:stem, -8:u23:Stem, 9:u01:Broad, -8:u02:Stem, 13:u07:Stem/Cell, 15:u08:Cell/Center, 15:u09:Center/hESC, 14:u0A:Broad/Stem, 9:u10:broad, -8:u11:stem, 9:u00:Broad, -8:u01:Stem, 15:u07:Cell/Center, 15:u08:Center/hESC, 13:u09:hESC/core, 13:u0A:Stem/Cell, -8:u10:stem, -8:u00:Stem, 15:u07:Center/hESC, 13:u08:hESC/core, 15:u0A:Cell/Center, 13:u07:hESC/core, -14:u09:facility/., 15:u0A:Center/hESC, -14:u08:facility/., 13:u0A:hESC/core, -14:u07:facility/., -14:u0A:facility/., 19:u09:UCLA/Department, 19:u08:UCLA/Department, 19:u07:UCLA/Department, @@ -307459,22 +314616,18 @@ 11:u03:ISCOCEM, 13:u07:-/ISCOCEM, 13:u08:ISCOCEM/), -7:u09:)/", 11:u12:iscocem, 8:u23:ISCO, 7:u32:CEM, 8:u33:OCEM, 11:u02:ISCOCEM, 13:u07:ISCOCEM/), -7:u08:)/", 13:u0A:-/ISCOCEM, 11:u11:iscocem, 11:u01:ISCOCEM, -7:u07:)/", 13:u0A:ISCOCEM/), 11:u10:iscocem, 11:u00:ISCOCEM, -7:u0A:)/", 14:u09:Energy/for, 14:u08:Energy/for, 14:u07:Energy/for, @@ -308918,20 +316071,17 @@ 15:u0A:Centre/pour, 19:u14:entrepreneuriat, 19:u04:entrepreneuriat, -7:u06:les, 21:u08:'/entrepreneuriat, 21:u09:entrepreneuriat/,, 10:u0A:pour/l, 19:u13:entrepreneuriat, 19:u03:entrepreneuriat, -7:u05:les, 7:u06:PME, 21:u07:'/entrepreneuriat, 21:u08:entrepreneuriat/,, 9:u09:,/les, 19:u12:entrepreneuriat, 19:u02:entrepreneuriat, -7:u04:les, 7:u05:PME, 21:u07:entrepreneuriat/,, 9:u08:,/les, @@ -308940,7 +316090,6 @@ 19:u11:entrepreneuriat, 7:u14:pme, 19:u01:entrepreneuriat, -7:u03:les, 7:u04:PME, 9:u07:,/les, 11:u08:les/PME, @@ -308948,10 +316097,7 @@ 21:u0A:entrepreneuriat/,, 19:u10:entrepreneuriat, 7:u13:pme, -7:u23:les, -7:u33:les, 19:u00:entrepreneuriat, -7:u02:les, 7:u03:PME, 11:u07:les/PME, 10:u08:PME/et, @@ -308962,13 +316108,11 @@ 7:u23:PME, 7:u32:PME, 7:u33:PME, -7:u01:les, 7:u02:PME, 10:u07:PME/et, 9:u08:et/le, 11:u0A:les/PME, 7:u11:pme, -7:u00:les, 7:u01:PME, 9:u07:et/le, 24:u09:développement/local, @@ -309194,28 +316338,11 @@ 17:u0A:Wildgoose/for, 13:u10:wildgoose, 13:u00:Wildgoose, -9:u06:shown, -9:u05:shown, 17:u09:samples/shown, -9:u14:shown, -9:u04:shown, 17:u08:samples/shown, -12:u09:shown/in, -9:u13:shown, -9:u03:shown, 17:u07:samples/shown, -12:u08:shown/in, -9:u12:shown, -8:u33:hown, -9:u02:shown, -12:u07:shown/in, 17:u0A:samples/shown, -9:u11:shown, -9:u01:shown, 12:u06:Grateful, -12:u0A:shown/in, -9:u10:shown, -9:u00:shown, 12:u05:Grateful, 14:u09:./Grateful, 12:u04:Grateful, @@ -313282,45 +320409,30 @@ 15:u14:antiquaille, 11:u00:Hopital, 15:u04:Antiquaille, -8:u06:Lyon, 17:u08:'/Antiquaille, 17:u09:Antiquaille/,, 15:u13:antiquaille, 15:u03:Antiquaille, -8:u05:Lyon, 17:u07:'/Antiquaille, 17:u08:Antiquaille/,, 10:u09:,/Lyon, 15:u12:antiquaille, -8:u14:lyon, 15:u02:Antiquaille, -8:u04:Lyon, 17:u07:Antiquaille/,, 10:u08:,/Lyon, 12:u09:Lyon/and, 17:u0A:'/Antiquaille, 15:u11:antiquaille, -8:u13:lyon, 15:u01:Antiquaille, -8:u03:Lyon, 10:u07:,/Lyon, 12:u08:Lyon/and, 17:u0A:Antiquaille/,, 15:u10:antiquaille, -8:u12:lyon, -7:u22:Lyo, -8:u23:Lyon, -8:u33:Lyon, 15:u00:Antiquaille, -8:u02:Lyon, 12:u07:Lyon/and, 10:u0A:,/Lyon, -8:u11:lyon, -8:u01:Lyon, 8:u09:Y/Li, 12:u0A:Lyon/and, -8:u10:lyon, -8:u00:Lyon, 8:u08:Y/Li, 9:u09:Li/of, 8:u07:Y/Li, @@ -313499,8 +320611,6 @@ 13:u07:,/RENATER, 13:u08:RENATER/,, 11:u12:renater, -7:u22:REN, -8:u23:RENA, 8:u33:ATER, 11:u02:RENATER, 13:u07:RENATER/,, @@ -313539,45 +320649,25 @@ 14:u09:./grid5000, 12:u14:grid5000, 12:u04:grid5000, -6:u06:fr, 14:u08:./grid5000, 14:u09:grid5000/., 12:u13:grid5000, 12:u03:grid5000, -6:u05:fr, 14:u07:./grid5000, 14:u08:grid5000/., -8:u09:./fr, 12:u12:grid5000, -6:u14:fr, 12:u02:grid5000, -6:u04:fr, 14:u07:grid5000/., -8:u08:./fr, 8:u09:fr/), 14:u0A:./grid5000, 12:u11:grid5000, -6:u13:fr, 12:u01:grid5000, -6:u03:fr, -8:u07:./fr, 8:u08:fr/), 14:u0A:grid5000/., 12:u10:grid5000, -6:u12:fr, -6:u22:fr, -6:u23:fr, -6:u31:fr, -6:u32:fr, -6:u33:fr, 12:u00:grid5000, -6:u02:fr, 8:u07:fr/), -8:u0A:./fr, -6:u11:fr, -6:u01:fr, 8:u0A:fr/), -6:u10:fr, 18:u09:work/presented, 18:u08:work/presented, 20:u09:presented/herein, @@ -314181,42 +321271,30 @@ 14:u06:Nottingham, 8:u0A:at/,, 14:u05:Nottingham, -9:u06:Trent, 17:u09:by/Nottingham, 14:u14:nottingham, 14:u04:Nottingham, -9:u05:Trent, 17:u08:by/Nottingham, 20:u09:Nottingham/Trent, 14:u13:nottingham, -9:u14:trent, 14:u03:Nottingham, -9:u04:Trent, 17:u07:by/Nottingham, 20:u08:Nottingham/Trent, 20:u09:Trent/University, 14:u12:nottingham, -9:u13:trent, 8:u23:Nott, 14:u02:Nottingham, -9:u03:Trent, 20:u07:Nottingham/Trent, 20:u08:Trent/University, 17:u0A:by/Nottingham, 14:u11:nottingham, -9:u12:trent, 14:u01:Nottingham, -9:u02:Trent, 20:u07:Trent/University, 20:u0A:Nottingham/Trent, 14:u10:nottingham, -9:u11:trent, 14:u00:Nottingham, -9:u01:Trent, 16:u06:Architecture, 20:u0A:Trent/University, -9:u10:trent, -9:u00:Trent, 16:u05:Architecture, 19:u09:of/Architecture, 16:u14:architecture, @@ -316451,7 +323529,6 @@ 8:u13:0310, 6:u22:P3, 6:u23:P3, -6:u31:P3, 6:u32:P3, 6:u33:P3, 6:u02:P3, @@ -316634,19 +323711,15 @@ 8:u33:BOSC, 8:u02:BOSC, 11:u07:BOSC/is, -15:u09:a/community, 25:u0A:Acknowledgements/BOSC, 8:u11:bosc, 8:u01:BOSC, -15:u08:a/community, 20:u09:community/effort, 11:u0A:BOSC/is, 8:u10:bosc, 8:u00:BOSC, -15:u07:a/community, 20:u08:community/effort, 20:u07:community/effort, -15:u0A:a/community, 20:u0A:community/effort, 8:u06:BOSC, 8:u05:BOSC, @@ -318014,8 +325087,6 @@ 19:u07:Laboratory/STEM, 17:u08:STEM/Facility, 8:u23:STEM, -7:u32:TEM, -8:u33:STEM, 8:u02:STEM, 17:u07:STEM/Facility, 19:u0A:Laboratory/STEM, @@ -320163,40 +327234,28 @@ 13:u0A:Campion/', 19:u07:s/participation, 19:u0A:s/participation, -13:u06:Dominique, -13:u05:Dominique, 10:u06:Trudel, 16:u09:Dr/Dominique, -13:u14:dominique, -13:u04:Dominique, 10:u05:Trudel, 16:u08:Dr/Dominique, 20:u09:Dominique/Trudel, -13:u13:dominique, 10:u14:trudel, -13:u03:Dominique, 10:u04:Trudel, 16:u07:Dr/Dominique, 20:u08:Dominique/Trudel, 14:u09:Trudel/for, -13:u12:dominique, 10:u13:trudel, -13:u02:Dominique, 10:u03:Trudel, 20:u07:Dominique/Trudel, 14:u08:Trudel/for, 16:u0A:Dr/Dominique, -13:u11:dominique, 10:u12:trudel, 8:u23:Trud, 8:u33:udel, -13:u01:Dominique, 10:u02:Trudel, 14:u07:Trudel/for, 20:u0A:Dominique/Trudel, -13:u10:dominique, 10:u11:trudel, -13:u00:Dominique, 10:u01:Trudel, 14:u0A:Trudel/for, 10:u10:trudel, @@ -320991,7 +328050,6 @@ 16:u08:Miresmaili/,, 8:u09:,/EJ, 14:u12:miresmaili, -8:u23:Mire, 8:u33:aili, 14:u02:Miresmaili, 7:u05:Moc, @@ -322433,18 +329491,15 @@ 7:u06:LAT, 13:u09:The/Fermi, 7:u05:LAT, -17:u06:Collaboration, 13:u08:The/Fermi, 13:u09:Fermi/LAT, 7:u14:lat, 7:u04:LAT, -17:u05:Collaboration, 13:u07:The/Fermi, 13:u08:Fermi/LAT, 21:u09:LAT/Collaboration, 7:u13:lat, 7:u03:LAT, -17:u04:Collaboration, 13:u07:Fermi/LAT, 21:u08:LAT/Collaboration, 30:u09:Collaboration/acknowledges, @@ -322455,26 +329510,22 @@ 7:u32:LAT, 7:u33:LAT, 7:u02:LAT, -17:u03:Collaboration, 21:u07:LAT/Collaboration, 30:u08:Collaboration/acknowledges, 25:u09:acknowledges/generous, 13:u0A:Fermi/LAT, 7:u11:lat, 7:u01:LAT, -17:u02:Collaboration, 30:u07:Collaboration/acknowledges, 25:u08:acknowledges/generous, 20:u09:generous/ongoing, 21:u0A:LAT/Collaboration, 7:u10:lat, 7:u00:LAT, -17:u01:Collaboration, 25:u07:acknowledges/generous, 20:u08:generous/ongoing, 19:u09:ongoing/support, 30:u0A:Collaboration/acknowledges, -17:u00:Collaboration, 20:u07:generous/ongoing, 19:u08:ongoing/support, 25:u0A:acknowledges/generous, @@ -322483,17 +329534,13 @@ 19:u0A:ongoing/support, 15:u09:of/agencies, 15:u08:of/agencies, -16:u09:agencies/and, 15:u07:of/agencies, -16:u08:agencies/and, 18:u09:and/institutes, -16:u07:agencies/and, 18:u08:and/institutes, 19:u09:institutes/that, 15:u0A:of/agencies, 18:u07:and/institutes, 19:u08:institutes/that, -16:u0A:agencies/and, 19:u07:institutes/that, 18:u0A:and/institutes, 18:u09:supported/both, @@ -322591,26 +329638,19 @@ 18:u09:Scientifique/., 18:u08:Scientifique/., 14:u09:./Institut, -9:u06:Array, 18:u07:Scientifique/., 14:u08:./Institut, -9:u05:Array, 14:u07:./Institut, 18:u09:National/Array, 18:u0A:Scientifique/., -9:u04:Array, 18:u08:National/Array, 12:u09:Array/is, 14:u0A:./Institut, -9:u03:Array, 18:u07:National/Array, 12:u08:Array/is, -9:u02:Array, 12:u07:Array/is, 18:u0A:National/Array, -9:u01:Array, 12:u0A:Array/is, -9:u00:Array, 19:u09:project/between, 19:u08:project/between, 19:u07:project/between, @@ -324814,12 +331854,8 @@ 16:u0A:Swiss/Agency, 19:u09:and/Cooperation, 19:u08:and/Cooperation, -18:u09:Cooperation/in, 19:u07:and/Cooperation, -18:u08:Cooperation/in, -18:u07:Cooperation/in, 19:u0A:and/Cooperation, -18:u0A:Cooperation/in, 10:u06:SCOPES, 17:u09:the/programme, 10:u05:SCOPES, @@ -325980,7 +333016,6 @@ 13:u0A:,/Kentaro, 11:u11:kentaro, 10:u12:hatano, -8:u33:tano, 11:u01:Kentaro, 10:u02:Hatano, 9:u05:Okano, @@ -326187,7 +333222,6 @@ 8:u09:-/KA, 7:u12:aok, 6:u14:ka, -6:u21:AO, 7:u22:AOK, 7:u23:AOK, 7:u32:AOK, @@ -329199,7 +336233,6 @@ 16:u08:Lutte/Contre, 18:u0A:Association/de, 9:u12:lutte, -7:u22:Lut, 8:u23:Lutt, 8:u33:utte, 9:u02:Lutte, @@ -330270,13 +337303,9 @@ 13:u0A:Vergata/,, 11:u10:vergata, 11:u00:Vergata, -16:u09:the/facility, -16:u08:the/facility, 9:u06:Targa, -16:u07:the/facility, 9:u05:Targa, 17:u09:Roberto/Targa, -16:u0A:the/facility, 9:u14:targa, 9:u04:Targa, 17:u08:Roberto/Targa, @@ -333497,7 +340526,6 @@ 13:u08:Command/., 21:u0A:Strategic/Defense, 11:u12:command, -8:u33:mand, 11:u02:Command, 13:u07:Command/., 19:u0A:Defense/Command, @@ -333547,7 +340575,6 @@ 15:u14:pravastatin, 7:u22:Mev, 8:u23:Meva, -6:u30:®, 7:u31:n®, 8:u32:in®, 9:u33:tin®, @@ -334687,15 +341714,11 @@ 13:u08:of/people, 13:u07:of/people, 13:u0A:of/people, -15:u09:funded/with, -15:u08:funded/with, 16:u09:with/federal, -15:u07:funded/with, 16:u08:with/federal, 17:u09:federal/funds, 16:u07:with/federal, 17:u08:federal/funds, -15:u0A:funded/with, 17:u07:federal/funds, 16:u0A:with/federal, 17:u0A:federal/funds, @@ -335523,45 +342546,31 @@ 21:u0A:the/interventions, 17:u01:interventions, 26:u0A:interventions/material, -12:u05:Jérôme, 15:u06:Lecardonnel, 18:u09:thank/Jérôme, -12:u14:jérôme, -12:u04:Jérôme, 15:u05:Lecardonnel, 18:u08:thank/Jérôme, 24:u09:Jérôme/Lecardonnel, -12:u13:jérôme, 15:u14:lecardonnel, -12:u03:Jérôme, 15:u04:Lecardonnel, 18:u07:thank/Jérôme, 24:u08:Jérôme/Lecardonnel, 19:u09:Lecardonnel/and, -12:u12:jérôme, 15:u13:lecardonnel, -10:u23:Jérô, -8:u32:ôme, -9:u33:rôme, -12:u02:Jérôme, 15:u03:Lecardonnel, 11:u06:Rebours, 24:u07:Jérôme/Lecardonnel, 19:u08:Lecardonnel/and, 18:u0A:thank/Jérôme, -12:u11:jérôme, 15:u12:lecardonnel, 8:u23:Leca, -12:u01:Jérôme, 15:u02:Lecardonnel, 11:u05:Rebours, 19:u07:Lecardonnel/and, 22:u09:Emmanuelle/Rebours, 24:u0A:Jérôme/Lecardonnel, -12:u10:jérôme, 15:u11:lecardonnel, 11:u14:rebours, -12:u00:Jérôme, 15:u01:Lecardonnel, 11:u04:Rebours, 22:u08:Emmanuelle/Rebours, @@ -335607,28 +342616,10 @@ 15:u10:microarrays, 15:u00:microarrays, 19:u0A:hybridization/., -10:u06:rodent, -10:u05:rodent, 14:u09:the/rodent, -10:u14:rodent, -10:u04:rodent, 14:u08:the/rodent, -19:u09:rodent/facility, -10:u13:rodent, -10:u03:rodent, 14:u07:the/rodent, -19:u08:rodent/facility, -10:u12:rodent, -7:u22:rod, -8:u23:rode, -10:u02:rodent, -19:u07:rodent/facility, 14:u0A:the/rodent, -10:u11:rodent, -10:u01:rodent, -19:u0A:rodent/facility, -10:u10:rodent, -10:u00:rodent, 13:u09:in/animal, 13:u08:in/animal, 10:u06:Unité, @@ -335818,81 +342809,36 @@ 8:u01:Île, 8:u07:-/de, 8:u08:de/-, -12:u09:-/France, 10:u0A:Île/-, 8:u10:île, 8:u00:Île, -7:u06:DIM, 8:u07:de/-, -12:u08:-/France, 18:u09:France/through, 8:u0A:-/de, -7:u05:DIM, -10:u06:Malinf, -12:u07:-/France, 18:u08:France/through, 15:u09:through/DIM, 8:u0A:de/-, -7:u14:dim, -7:u04:DIM, -10:u05:Malinf, 18:u07:France/through, 15:u08:through/DIM, -14:u09:DIM/Malinf, -12:u0A:-/France, -7:u13:dim, -10:u14:malinf, -7:u03:DIM, -10:u04:Malinf, 15:u07:through/DIM, -14:u08:DIM/Malinf, -12:u09:Malinf/(, 18:u0A:France/through, -7:u12:dim, -10:u13:malinf, -7:u23:DIM, -7:u32:DIM, -7:u33:DIM, -7:u02:DIM, -10:u03:Malinf, 11:u06:Domaine, -14:u07:DIM/Malinf, -12:u08:Malinf/(, 15:u0A:through/DIM, -7:u11:dim, -10:u12:malinf, -7:u32:inf, -8:u33:linf, -7:u01:DIM, -10:u02:Malinf, 11:u05:Domaine, -12:u07:Malinf/(, 13:u09:"/Domaine, -14:u0A:DIM/Malinf, -7:u10:dim, -10:u11:malinf, -11:u14:domaine, -7:u00:DIM, -10:u01:Malinf, 11:u04:Domaine, 13:u08:"/Domaine, 13:u09:Domaine/d, -12:u0A:Malinf/(, -10:u10:malinf, -11:u13:domaine, -10:u00:Malinf, 11:u03:Domaine, 13:u06:Intérêt, 13:u07:"/Domaine, 13:u08:Domaine/d, -11:u12:domaine, 11:u02:Domaine, 13:u05:Intérêt, 10:u06:Majeur, 13:u07:Domaine/d, 15:u09:'/Intérêt, 13:u0A:"/Domaine, -11:u11:domaine, 13:u14:intérêt, 11:u01:Domaine, 13:u04:Intérêt, @@ -335901,9 +342847,7 @@ 15:u08:'/Intérêt, 20:u09:Intérêt/Majeur, 13:u0A:Domaine/d, -11:u10:domaine, 13:u13:intérêt, -10:u14:majeur, 11:u00:Domaine, 13:u03:Intérêt, 10:u04:Majeur, @@ -335913,7 +342857,6 @@ 20:u08:Intérêt/Majeur, 19:u09:Majeur/Maladies, 13:u12:intérêt, -10:u13:majeur, 12:u14:maladies, 9:u23:Inté, 7:u31:êt, @@ -335928,11 +342871,9 @@ 25:u09:Maladies/Infectieuses, 15:u0A:'/Intérêt, 13:u11:intérêt, -10:u12:majeur, 12:u13:maladies, 16:u14:infectieuses, 8:u23:Maje, -8:u33:jeur, 13:u01:Intérêt, 10:u02:Majeur, 12:u03:Maladies, @@ -335943,7 +342884,6 @@ 18:u09:Infectieuses/,, 20:u0A:Intérêt/Majeur, 13:u10:intérêt, -10:u11:majeur, 12:u12:maladies, 16:u13:infectieuses, 13:u00:Intérêt, @@ -335955,7 +342895,6 @@ 18:u08:Infectieuses/,, 18:u09:,/parasitaires, 19:u0A:Majeur/Maladies, -10:u10:majeur, 12:u11:maladies, 16:u12:infectieuses, 16:u14:parasitaires, @@ -336043,8 +342982,6 @@ 15:u08:dim100157/), 7:u0A:#/:, 13:u12:dim100157, -7:u22:dim, -8:u23:dim1, 8:u33:0157, 13:u02:dim100157, 15:u07:dim100157/), @@ -337321,24 +344258,16 @@ 16:u07:controls/and, 21:u0A:material/controls, 16:u0A:controls/and, -26:u09:acknowledge/assistance, -26:u08:acknowledge/assistance, -19:u09:assistance/from, 7:u06:Koy, -26:u07:acknowledge/assistance, -19:u08:assistance/from, 14:u09:from/Kevin, 7:u05:Koy, -19:u07:assistance/from, 14:u08:from/Kevin, 13:u09:Kevin/Koy, -26:u0A:acknowledge/assistance, 7:u14:koy, 7:u04:Koy, 14:u07:from/Kevin, 13:u08:Kevin/Koy, 11:u09:Koy/and, -19:u0A:assistance/from, 7:u13:koy, 7:u03:Koy, 14:u06:Geospatial, @@ -337777,7 +344706,6 @@ 9:u12:cerro, 10:u13:tololo, 17:u14:interamerican, -7:u22:Cer, 8:u23:Cerr, 8:u33:erro, 9:u02:Cerro, @@ -339679,17 +346607,13 @@ 13:u0A:./1228232, 11:u11:1228232, 11:u01:1228232, -15:u09:purchase/of, 15:u0A:1228232/for, 11:u10:1228232, 11:u00:1228232, -15:u08:purchase/of, -15:u07:purchase/of, 22:u09:the/diffractometer, 10:u06:Tulane, 22:u08:the/diffractometer, 22:u09:diffractometer/and, -15:u0A:purchase/of, 10:u05:Tulane, 22:u07:the/diffractometer, 22:u08:diffractometer/and, @@ -339890,20 +346814,16 @@ 11:u03:EuroFIR, 15:u07:the/EuroFIR, 22:u08:EuroFIR/Consortium, -18:u09:Consortium/and, 11:u12:eurofir, 8:u33:oFIR, 11:u02:EuroFIR, 22:u07:EuroFIR/Consortium, -18:u08:Consortium/and, 15:u0A:the/EuroFIR, 11:u11:eurofir, 11:u01:EuroFIR, -18:u07:Consortium/and, 22:u0A:EuroFIR/Consortium, 11:u10:eurofir, 11:u00:EuroFIR, -18:u0A:Consortium/and, 8:u09:EU/6, 8:u08:EU/6, 10:u09:6/_x+1, @@ -339980,7 +346900,6 @@ 16:u12:5p20rr021940, 7:u22:5P2, 8:u23:5P20, -7:u32:940, 8:u33:1940, 16:u02:5P20RR021940, 18:u07:5P20RR021940/), @@ -340454,7 +347373,6 @@ 9:u12:franc, 9:u13:ßois, 10:u14:legare, -7:u32:anc, 8:u33:ranc, 9:u02:Franc, 9:u03:ßois, @@ -340511,7 +347429,6 @@ 20:u07:Claude/GrosLouis, 17:u08:GrosLouis/for, 13:u12:groslouis, -8:u23:Gros, 13:u02:GrosLouis, 17:u07:GrosLouis/for, 20:u0A:Claude/GrosLouis, @@ -340696,40 +347613,28 @@ 13:u0A:Porth/for, 9:u10:porth, 9:u00:Porth, -12:u06:Isabelle, -12:u05:Isabelle, 11:u06:Lamarre, 15:u09:to/Isabelle, -12:u14:isabelle, -12:u04:Isabelle, 11:u05:Lamarre, 15:u08:to/Isabelle, 20:u09:Isabelle/Lamarre, -12:u13:isabelle, 11:u14:lamarre, -12:u03:Isabelle, 11:u04:Lamarre, 15:u07:to/Isabelle, 20:u08:Isabelle/Lamarre, 15:u09:Lamarre/for, -12:u12:isabelle, 11:u13:lamarre, -12:u02:Isabelle, 11:u03:Lamarre, 20:u07:Isabelle/Lamarre, 15:u08:Lamarre/for, 15:u0A:to/Isabelle, -12:u11:isabelle, 11:u12:lamarre, 8:u33:arre, -12:u01:Isabelle, 11:u02:Lamarre, 15:u07:Lamarre/for, 21:u09:technical/English, 20:u0A:Isabelle/Lamarre, -12:u10:isabelle, 11:u11:lamarre, -12:u00:Isabelle, 11:u01:Lamarre, 21:u08:technical/English, 15:u0A:Lamarre/for, @@ -342362,16 +349267,9 @@ 23:u0A:GlassUniversality/), 21:u10:glassuniversality, 21:u00:GlassUniversality, -21:u09:"/Investissements, -21:u08:"/Investissements, -21:u07:"/Investissements, -21:u0A:"/Investissements, -12:u09:Avenir/", 8:u06:PALM, -12:u08:Avenir/", 11:u09:"/LabEx, 8:u05:PALM, -12:u07:Avenir/", 11:u08:"/LabEx, 14:u09:LabEx/PALM, 8:u14:palm, @@ -342379,7 +349277,6 @@ 11:u07:"/LabEx, 14:u08:LabEx/PALM, 10:u09:PALM/(, -12:u0A:Avenir/", 8:u13:palm, 8:u03:PALM, 14:u07:LabEx/PALM, @@ -342739,16 +349636,13 @@ 8:u05:rare, 12:u09:NIH/rare, 17:u0A:provided/from, -8:u14:rare, 8:u04:rare, 12:u08:NIH/rare, 16:u09:rare/disease, -8:u13:rare, 8:u03:rare, 12:u07:NIH/rare, 16:u08:rare/disease, 17:u09:disease/grant, -8:u12:rare, 7:u22:rar, 8:u23:rare, 8:u33:rare, @@ -342757,13 +349651,11 @@ 16:u07:rare/disease, 17:u08:disease/grant, 12:u0A:NIH/rare, -8:u11:rare, 8:u01:rare, 16:u05:1U54RR019478, 17:u07:disease/grant, 18:u09:(/1U54RR019478, 16:u0A:rare/disease, -8:u10:rare, 16:u14:1u54rr019478, 8:u00:rare, 16:u04:1U54RR019478, @@ -343416,13 +350308,9 @@ 17:u00:CRSII3_136179, 22:u09:Open/Translational, 22:u08:Open/Translational, -26:u09:Translational/Research, 22:u07:Open/Translational, -26:u08:Translational/Research, -26:u07:Translational/Research, 22:u0A:Open/Translational, 14:u09:,/Advanced, -26:u0A:Translational/Research, 14:u08:,/Advanced, 20:u09:Advanced/Medical, 14:u07:,/Advanced, @@ -346061,7 +352949,6 @@ 10:u0A:BSQD/-, 8:u10:bsqd, 11:u12:2018006, -8:u23:2018, 8:u00:BSQD, 11:u02:2018006, 8:u06:PYJJ, @@ -346618,7 +353505,6 @@ 11:u07:and/EIM, 11:u08:EIM/was, 7:u12:eim, -6:u21:EI, 7:u22:EIM, 7:u23:EIM, 7:u32:EIM, @@ -347567,76 +354453,52 @@ 10:u09:-/CE28, 8:u14:ce28, 8:u04:CE28, -8:u06:0009, 10:u08:-/CE28, 10:u09:CE28/-, 8:u13:ce28, 8:u03:CE28, -8:u05:0009, 10:u07:-/CE28, 10:u08:CE28/-, -10:u09:-/0009, 8:u12:ce28, -8:u14:0009, 7:u22:CE2, 8:u23:CE28, 7:u32:E28, 8:u33:CE28, 8:u02:CE28, -8:u04:0009, 12:u06:GEOMPHON, 10:u07:CE28/-, -10:u08:-/0009, 10:u09:0009/(, 10:u0A:-/CE28, 8:u11:ce28, -8:u13:0009, 8:u01:CE28, -8:u03:0009, 12:u05:GEOMPHON, -10:u07:-/0009, 10:u08:0009/(, 14:u09:(/GEOMPHON, 10:u0A:CE28/-, 8:u10:ce28, -8:u12:0009, 12:u14:geomphon, -8:u23:0009, -8:u33:0009, 8:u00:CE28, -8:u02:0009, 12:u04:GEOMPHON, 10:u07:0009/(, 14:u08:(/GEOMPHON, 14:u09:GEOMPHON/), -10:u0A:-/0009, -8:u11:0009, 12:u13:geomphon, -8:u01:0009, 12:u03:GEOMPHON, 14:u07:(/GEOMPHON, 14:u08:GEOMPHON/), 10:u0A:0009/(, -8:u10:0009, 12:u12:geomphon, -7:u22:GEO, 8:u23:GEOM, -7:u32:HON, 8:u33:PHON, -8:u00:0009, 12:u02:GEOMPHON, 14:u07:GEOMPHON/), -9:u09:,/ANR, 14:u0A:(/GEOMPHON, 12:u11:geomphon, 12:u01:GEOMPHON, -9:u08:,/ANR, 14:u0A:GEOMPHON/), 12:u10:geomphon, 12:u00:GEOMPHON, -9:u07:,/ANR, 8:u06:IDFI, -9:u0A:,/ANR, 8:u05:IDFI, 10:u09:-/IDFI, 8:u14:idfi, @@ -347872,69 +354734,17 @@ 7:u00:3IA, 13:u09:using/HPC, 13:u08:using/HPC, -17:u09:HPC/resources, -9:u06:GENCI, 13:u07:using/HPC, -17:u08:HPC/resources, -18:u09:resources/from, -9:u05:GENCI, -17:u07:HPC/resources, -18:u08:resources/from, -14:u09:from/GENCI, 13:u0A:using/HPC, -9:u14:genci, -9:u04:GENCI, -9:u06:IDRIS, -18:u07:resources/from, -14:u08:from/GENCI, -11:u09:GENCI/-, -17:u0A:HPC/resources, -9:u13:genci, -9:u03:GENCI, -9:u05:IDRIS, -14:u07:from/GENCI, -11:u08:GENCI/-, -11:u09:-/IDRIS, -18:u0A:resources/from, -9:u12:genci, -9:u14:idris, -8:u23:GENC, -8:u33:ENCI, -9:u02:GENCI, -9:u04:IDRIS, -11:u07:GENCI/-, -11:u08:-/IDRIS, -11:u09:IDRIS/(, -14:u0A:from/GENCI, -9:u11:genci, -9:u13:idris, -9:u01:GENCI, -9:u03:IDRIS, 8:u06:20XX, -11:u07:-/IDRIS, 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14:u07:’/avenir, 12:u08:avenir/", -9:u09:"/ANR, -9:u0A:d/’, -7:u11:’, -7:u22:ave, -8:u23:aven, -7:u01:’, -10:u02:avenir, 12:u07:avenir/", -9:u08:"/ANR, 14:u0A:’/avenir, -7:u10:’, -7:u00:’, -10:u01:avenir, -9:u07:"/ANR, 12:u0A:avenir/", -10:u00:avenir, 9:u06:IAIHU, -9:u0A:"/ANR, 9:u05:IAIHU, 11:u09:-/IAIHU, 9:u14:iaihu, @@ -348043,96 +354814,10 @@ 11:u0A:IAIHU/-, 9:u10:iaihu, 9:u00:IAIHU, -8:u06:INBS, -8:u05:INBS, -10:u09:-/INBS, -8:u14:inbs, -8:u04:INBS, -8:u06:0011, -10:u08:-/INBS, -10:u09:INBS/-, -8:u13:inbs, -8:u03:INBS, -8:u05:0011, -10:u07:-/INBS, -10:u08:INBS/-, -10:u09:-/0011, -8:u12:inbs, -8:u14:0011, -7:u22:INB, -8:u23:INBS, -8:u33:INBS, -8:u02:INBS, -8:u04:0011, -13:u06:NeurATRIS, -10:u07:INBS/-, -10:u08:-/0011, -10:u09:0011/-, -10:u0A:-/INBS, -8:u11:inbs, -8:u13:0011, -8:u01:INBS, -8:u03:0011, -13:u05:NeurATRIS, -10:u07:-/0011, -10:u08:0011/-, -15:u09:-/NeurATRIS, -10:u0A:INBS/-, -8:u10:inbs, -8:u12:0011, -13:u14:neuratris, -8:u23:0011, -8:u33:0011, -8:u00:INBS, -8:u02:0011, 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-20:u0A:in/Neurosciences, -19:u0A:Neurosciences/., 10:u09:by/ANR, 10:u08:by/ANR, 10:u07:by/ANR, @@ -348342,7 +355027,6 @@ 10:u07:-/BSV1, 10:u08:BSV1/-, 8:u12:bsv1, -7:u22:BSV, 8:u23:BSV1, 6:u31:V1, 7:u32:SV1, @@ -348462,7 +355146,6 @@ 8:u12:jpwg, 7:u22:JPW, 8:u23:JPWG, -6:u31:WG, 7:u32:PWG, 8:u33:JPWG, 8:u02:JPWG, @@ -348690,10 +355373,6 @@ 8:u07:44/-, 8:u0A:-/44, 8:u0A:44/-, -9:u09:ANR/,, -9:u08:ANR/,, -9:u07:ANR/,, -9:u0A:ANR/,, 16:u09:the/programs, 16:u08:the/programs, 16:u09:programs/ANR, @@ -348881,7 +355560,6 @@ 16:u07:CE09/PANASSE, 13:u08:PANASSE/., 11:u12:panasse, -7:u22:PAN, 8:u23:PANA, 7:u32:SSE, 8:u33:ASSE, @@ -348990,7 +355668,6 @@ 12:u14:ambition, 8:u03:Pack, 12:u04:Ambition, -8:u06:2018, 16:u07:project/Pack, 17:u08:Pack/Ambition, 22:u09:Ambition/Recherche, @@ -348999,7 +355676,6 @@ 8:u33:Pack, 8:u02:Pack, 12:u03:Ambition, -8:u05:2018, 13:u06:Eternité, 17:u07:Pack/Ambition, 22:u08:Ambition/Recherche, @@ -349007,12 +355683,10 @@ 16:u0A:project/Pack, 8:u11:pack, 12:u12:ambition, -8:u14:2018, 7:u22:Amb, 8:u23:Ambi, 8:u01:Pack, 12:u02:Ambition, -8:u04:2018, 13:u05:Eternité, 22:u07:Ambition/Recherche, 18:u08:Recherche/2018, @@ -349020,37 +355694,30 @@ 17:u0A:Pack/Ambition, 8:u10:pack, 12:u11:ambition, -8:u13:2018, 13:u14:eternité, 8:u00:Pack, 12:u01:Ambition, -8:u03:2018, 13:u04:Eternité, 18:u07:Recherche/2018, 18:u08:2018/Eternité, 15:u09:Eternité/., 22:u0A:Ambition/Recherche, 12:u10:ambition, -8:u12:2018, 13:u13:eternité, 12:u00:Ambition, -8:u02:2018, 13:u03:Eternité, 10:u06:Carnot, 18:u07:2018/Eternité, 15:u08:Eternité/., 18:u0A:Recherche/2018, -8:u11:2018, 13:u12:eternité, 7:u22:Ete, 8:u23:Eter, -8:u01:2018, 13:u02:Eternité, 10:u05:Carnot, 15:u07:Eternité/., 14:u09:The/Carnot, 18:u0A:2018/Eternité, -8:u10:2018, 13:u11:eternité, 10:u14:carnot, 8:u00:2018, @@ -349365,49 +356032,16 @@ 8:u10:ce02, 8:u00:CE02, 18:u09:Government/’, -18:u06:Investissement, 18:u08:Government/’, -9:u09:’/s, -18:u05:Investissement, 18:u07:Government/’, -9:u08:’/s, 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-1705=-0x1.e57ebf6b577ep-22 -1707=-0x1.9cf8a5a4a42c3p-5 -1708=0x1.424bd60813b2cp-4 -1709=0x1.05d656933b37fp-1 -1710=0x1.c2fd69cd91e57p-1 -1711=0x1.b0a3d7b5a4f8ap-2 -1712=0x1.0eea28cdeadf1p-5 -1713=0x1.6c84b10ce45f4p-5 -1715=0x1.5c1b7c14797d2p-3 -1717=-0x1.5ed69f9cc53a6p+0 -1718=-0x1.53ccca1dfc5bcp-3 -1719=0x1.52ccc6e409d2p-4 -1722=0x1.05f6e446abf9p-1 -1723=-0x1.796c470dab0fp-4 -1725=-0x1.1b571031bb733p-3 -1726=0x1.06d21753bcc43p-6 -1727=-0x1.b44f305de4c37p-6 -1728=0x1.9b97e4276092bp-4 -1729=0x1.e780c5b1328c9p-5 -1730=0x1.b03025f016749p-6 -1731=0x1.e6edca7259445p-2 -1733=-0x1.16b687fa13b3p-3 -1734=-0x1.84a8bb7c35fe6p-5 -1735=0x1.3a95544903a08p-19 -1736=-0x1.1da539bbd0a75p-1 -1738=-0x1.14db08fbabc3ap+0 -1739=-0x1.0b2f7070f1e5cp-2 -1741=-0x1.922ca44392de6p-4 -1742=0x1.405dbdb8f9af7p-10 -1743=-0x1.2dea098fb5806p-3 -1744=0x1.a6562c162c86dp-5 -1745=0x1.12261a5943b03p-1 -1746=0x1.1e666b49a9e2ap-2 -1747=-0x1.a7fd2d5a024ddp-5 -1748=0x1.beb06994bf855p-7 -1749=0x1.2f2c0b808e27p-5 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-11655=0x1.1a8fd705862ccp-4 -11663=0x1.23142a5379874p-4 -11682=0x1.2d31c9a5f00b2p-2 -11683=0x1.beb9f04f1357bp-4 -11685=-0x1.544209176b52p-4 -11687=-0x1.e05919afe7144p-8 -11689=0x1.5ce20a56c5e11p-4 -11693=-0x1.3d52e2378282ap-4 -11694=0x1.ef94685072d9p-2 -11718=-0x1.ab9f67b19cef4p-6 -11720=0x1.702908b5c1955p-6 -11721=0x1.f0bccbc2898a4p-4 -11724=0x1.19c60725a3a64p-4 -11730=-0x1.d919ed751d89bp-3 -11731=-0x1.2aaccb5bd8fc2p-3 -11733=0x1.dec28069f24b4p-2 -11735=0x1.1b4c187680c12p-2 -11736=0x1.cf96afb42a49ep-5 -11739=0x1.c18932368126p-5 -11742=-0x1.37c944f78cc7dp-3 -11743=0x1.99326dbf07872p-6 -11747=-0x1.bd8db5ac630f1p-5 -11750=-0x1.982a1bacfb72cp-5 -11752=0x1.bb867ac307f96p-8 -11754=0x1.cf96afb42a49ep-5 -11757=0x1.c18932368126p-5 -11760=-0x1.37c944f78cc7dp-3 -11761=0x1.99326dbf07872p-6 -11765=-0x1.bd8db5ac630f1p-5 -11768=-0x1.982a1bacfb72cp-5 -11770=0x1.bb867ac307f96p-8 -11773=-0x1.d53af28cb7f5ep-5 -11774=0x1.a09d642934cafp-1 -11775=-0x1.1962469dedca6p-1 -11776=0x1.6ac2fb898bd44p-3 -11779=-0x1.a3d5cec15f74dp-1 -11780=0x1.b3d5645ad7fd8p+0 -11781=-0x1.d5769ebec7b9fp-2 -11782=0x1.970de31e28937p-5 -11783=-0x1.293acf86ce0eap-1 -11784=0x1.7f8f7587c15e3p-2 -11785=-0x1.20120419b612fp+0 -11786=0x1.84ba515984684p-1 -11787=-0x1.7647b927f55a6p-1 -11788=0x1.e7e841aec25d6p-2 -11790=0x1.8ce6d5f96f0ap+0 -11791=0x1.ae6111e171bf8p-3 -11799=0x1.bd1200c785b4fp-1 -11803=-0x1.cd156827faeabp-2 -11806=-0x1.7f0eecc09f616p-3 -11808=0x1.2d31c9a5f00b2p-2 -11809=0x1.beb9f04f1357ep-4 -11811=-0x1.544209176b52p-4 -11813=-0x1.e05919afe72ecp-8 -11815=0x1.5ce20a56c5e11p-4 -11819=-0x1.3d52e2378282ap-4 -11820=0x1.ef94685072d9p-2 -11826=-0x1.ab9f67b19ced4p-6 -11828=0x1.702908b5c1965p-6 -11829=0x1.f0bccbc2898a4p-4 -11832=0x1.19c60725a3a64p-4 -11838=-0x1.d919ed751d89bp-3 -11839=-0x1.2aaccb5bd8fc2p-3 -11841=0x1.dec28069f24b4p-2 -11843=0x1.1b4c187680c12p-2 -11844=0x1.cf96afb42a49ep-5 -11847=0x1.c18932368126p-5 -11850=-0x1.37c944f78cc7dp-3 -11851=0x1.99326dbf0782fp-6 -11855=-0x1.bd8db5ac630f1p-5 -11858=-0x1.982a1bacfb72cp-5 -11860=0x1.bb867ac307f96p-8 -11862=0x1.438ec72e46083p-4 -11863=0x1.527e3caf9d47fp-4 -11865=-0x1.b02ad883bd585p-2 -11866=0x1.74f6c5a098123p-2 -11868=-0x1.34472b93a88dep-1 -11869=-0x1.29592d87edacfp+0 -11870=0x1.54e42aa084cdp-2 -11873=0x1.0af95e1071342p-2 -11874=0x1.6585933b50cbdp+0 -11876=-0x1.0502ab7a90062p-2 -11877=-0x1.a614447659637p-3 -11878=-0x1.8e23ea206b15dp-2 -11898=0x1.12b3434f48b1p-2 -11899=0x1.6392116db92dep-4 -11901=0x1.cb60cd999f649p-6 -11903=0x1.4159bce3e40c5p-6 -11904=-0x1.95b21cd9063ep-3 -11905=0x1.119b718173f33p-5 -11913=-0x1.3d5f2cc697c24p-6 -11916=0x1.49c9aa0de5adcp-3 -11919=0x1.666b12821ace1p-4 -11921=-0x1.2232c44a0e346p-3 -11925=-0x1.74da0c70a84d9p-6 -11934=0x1.49c9aa0de5adcp-3 -11937=0x1.666b12821ace1p-4 -11939=-0x1.2232c44a0e346p-3 -11943=-0x1.74da0c70a84d9p-6 -11952=0x1.49c9aa0de5adcp-3 -11955=0x1.666b12821ace1p-4 -11957=-0x1.2232c44a0e346p-3 -11961=-0x1.74da0c70a84d9p-6 -11971=0x1.b0bf7ca316be8p+0 -11988=0x1.52a779d05a19ap+0 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b/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-acknowledgements.tei.xml index 665b0cbab9..38a08d6dde 100644 --- a/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-acknowledgements.tei.xml +++ b/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-acknowledgements.tei.xml @@ -1,1292 +1,1289 @@ - - - This research was supported by the Deutsche Forschungsgemeinschaft through the SFB 649 "Economic Risk". http://sfb649.wiwi.hu-berlin.de ISSN 1860-5664 - ACKNOWLEDGMENT. We are grateful to Dr. G.D. Niswender (Animal Reproduction and Biotechnology Laboratory, Colorado State University, Fort Collins, CO, U.S.A.) for providing antisera to estradiol-17β (GDN 244) and testosterone (GDN 250). - We are grateful to the personal of UTSW Microarray Core for assistance with these experiments and to Janet Young for administrative assistance. We are thankful to Thomas Südhof and Katsuhiko Tabuchi for a generous gift of Lenti-NLS-GFP-Cre virus. This study was supported by the Hereditary Disease Foundation and NINDS R01 NS38082 and R01 NS056224 (IB), NINDS R01 NS043466 (SZ), the NIH GM59419 (GH), and the Ara Parseghian Medical Research Foundation (JR). - The authors wish to thank Ewa Latkowska for her excellent technical support. This study was supported by the Polish Ministry of Science and Higher Education 2670/B/P01/2008/34 and 0757/B/P01/2009/37. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. - The authors thank Dr. Chunhua Weng from Columbia University and Dr. Cui Tao from Mayo Clinic who participated in the evaluation. The authors also thank the technical support from Mr. Craig Stancl from Mayo Clinic. The study is supported in part by the SHARP Area 4: Secondary Use of EHR Data (90TR000201). - The data and views presented here are those of the authors alone and do not reflect or imply the formal views of the U.S. Food and Drug Administration or any other entity. This study was supported by the National Center for Toxicological. Many of the experiments described in this research utilized a HeLa cell line. Henrietta Lacks, and the HeLa cell line that was established from her tumor cells without her knowledge or consent in 1951, have made significant contributions to scientific progress and advances in human health. We are grateful to Henrietta Lacks, now deceased, and to her surviving family members for their contributions to biomedical research. - The human seminal vesicles were provided by the National Disease Research Interchange. We thank Christine Monfort for statistical analysis. - To Dr Marize Miagostovich and Ms Eliana Saraiva for the help during laboratorial diagnosis and the technical support from Ms Mariana Lopes and Ms Maryrose Lavatori. To Dr Joseli Lannes-Vieira, Department of Immunology, Fiocruz, and Dr Ricardo Galler for critically reviewing the manuscript. - We are indebted to the parents and children from the urban slums of Vellore for their enthusiastic participation and support. We also thank Drs. Rajiv Sarkar, Deepthi Kattula and field workers for their tireless monitoring of the cohorts and all the support staff of the Division of Gastrointestinal Sciences, Christian Medical College, Vellore, who made the studies possible. - This work was done as part of the IDEFICS Study and is published on behalf of its European Consortium (http://www.idefics.eu). We gratefully acknowledge the financial support of the European Community within the Sixth RTD Framework Programme Contract No. 016181 (FOOD). - This work was supported by Carl Tryggers Stiftelse for Vetenskaplig Forskning and Stiftelsen Samariten. - We thank B. Zeppenfeld and A. Daniel for excellent technical assistance. Antibody against Oxa1p was a kind gift of J. W. de Gier, Department of Biochemistry and Biophysics, the Arrhenius Laboratory for Natural Sciences, Stockholm University, Stockholm, Sweden. The research was supported by grants from the Deutsche Forschungsgemeinschaft, Sonderforschungsbereich TR-1, and Fonds der Chemischen Industrie. - We thank all the employees of the Icelandic Heart Preventive Clinic (Hjartavernd) for their skilful contribution to the data collection. the Medical Faculty and the Research Fund of the University of Iceland and the Icelandic Research Council supported this study. - The authors would like to thank Michel Cantou for the sampling of bivalves, Enric Saiz and Rosa Maria Borrat Padrosa for providing Paracartia grani eggs, Maximillien Cuny and Benoît Moirod for their help with PCR analyses, Maëva Robert for sequencing and Emmanuelle Omnes for histological slide preparation. The present study was supported by the GELAMED project through a grant allocated by the MEEDDM (Ministère de l"Ecologie, de l"Energie, du Développement Durable et de la Mer, France), and the Total foundation, France to D. Bonnet (Programme 189 -« Recherche » 18902 C). - The outcome of this work owes to the entire staff of the l'Institut national de la Recherche Halieutique Morocco. That each finds here the expression of our profound gratitude. - This study was funded by the Australian Research Council (DE120101549). We acknowledge the services of Metabolomics Australia for the analysis of metabolite concentrations. - This work was supported by grants IGA NT 11062-5/2010 and MSM6198959205. - The authors thank the following individuals for their contribution to this report: R. Duran, J.L. Martinez, B. McKown, R. Romero, D. Powell (Portage, Inc.) and E. Pulliam (TPMC, Inc.). - NH, AK, RB: We thank D. Cicuzza, W. Hoffmann, and T.R. Wentworth for their critical review of a previous version of this manuscript. We also thank D. Gamble (UNCW) for permission to re-use NH: I thank the individuals and organizations that directly had a hand in the completion of this project; without their expertise, opinions, edits, financial assistance, and permission to access private property, this work would not have been possible. the North Carolina State Parks graciously allowed me to collect plants from the shorelines of five Carolina bay lakes in Bladen County, North Carolina. the North Carolina Wildlife Resources Commission was kind enough to grant access to Horseshoe Lake and Little Singletary Lake. I thank Glenn and Carol Lewis for offering their land as an easement to Little Singletary Lake; they were very gracious, and I thoroughly enjoyed listening to Glenn's stories of Native American artifacts, lake history, black bears, and wildfires. Dr. Clemuel Johnson graciously gave permission to survey Bakers Lake Natural Area and I am very thankful for his generosity. Stephen Clark, son-in-law of Dr. Clemuel Johnson, also provided valuable information regarding wildlife use of Bakers Lake and surrounding natural areas. "Chick" Gaddy provided valuable information concerning Carolina bays and associated South Carolina natural community types. Mr. Gaddy's enthusiastic disposition and knowledge of South Carolina ecosystems was very beneficial to this study and I am truly grateful for his time. Garrett German provided a wealth of information concerning waterfowl use of Carolina bay lakes. Rob Richardson and Justin Nawrocki of the NCSU - Acknowledgments This study was supported by the Competitive State - This work was supported in part by NASA grant SSERVI NNA14AB01A, a Jackson School of Geosciences Postdoctoral Fellowship to N.D., and funding from Peking University to N.Z. Computational work was supported by Center for Computation and Visualization at Brown University and the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. The input files for reproducing the numerical models can be accessed at nan_zhang@pku.edu.cn. This paper benefited from thoughtful reviews by Andrew Dombard, Walter Kiefer and an anonymous reviewer. - The authors are grateful to Profs. Ye.B. Stadnik, I.S. Guliyev, F.G. Dadashev, and I.Ya. Skyarenko for assistance in performing these studies. - This work has been financially supported by an individual discovery grant from NSERC (Natural Sciences and Engineering Research Council of Canada). - Acknowledgements. Thanks to Maria Eugenia Gómez for finding the original reference of Bouguer's law. the DENIS project is supported by the SCIENCE and the Human Capital and Mobility plans of the European Commission under grants CT920791 and CT940627, by the French Institut National des Sciences de l'Univers, the Ministère de l'Éducation Nationale and the Centre National de la Recherche Scientifique, in Germany by the State of Baden-Würtemberg, in Spain by the DGICYT, in Italy by the Consiglio Nazionale delle Ricerche, by the Austrian Fonds zur Förderung der wissenschaftlichen Forschung - We thank Michael Heinz, Paul Cliften, and the Genome Technology Access Center (GTAC) in the Department of Genetics for help - The authors would like to thank Julia Stockinger and David Schwarzenbacher for their excellent technical support and Johannes A Mayr for comments and suggestions. - The authors thank Leonice Lourenço Poyares, Institute of Biomedical Sciences, University of São Paulo, Brazil, for excellent technical assistance. Research supported by FAPESP. F. Goulart-Silva is the recipient of a FAPESP fellowship (#08/56446-9), and M.T. Nunes is the recipient of a CNPq fellowship. - We acknowledge D Sabatini (Whitehead Institute) for providing mutagenized KBM7 cells and V Amarnath (Vanderbilt University) for providing reagents and advice. We thank V Vijayan, K Amarnath, T Peterson, and members of the O'Shea lab for advice and assistance. We thank A Darnell for critical reading of the manuscript. - The first author is grateful for the partial financial support through the French National Research Agency (Grant ANR-11-BS09-0008, LOTERIE). - Acknowledgements. We thank the continued support of the Phillip Island Nature Parks and its staff and volunteers involved in the continuous monitoring of penguins in Phillip Island since 1968. Y.Afán produced the video and improved figures design. Our analysis benefits enormously from earlier discussions with B. Raymond, C. Bulman, B. Fulton, S. Connie, D. Oro, M. Genovart, A. Sanz and M. Louzao, and with the helpful comments of Sara Maxwell and two anonymous reviewers. - We thank C. Clayton, T. Hobman, Y. Nagamine, C. Ender, R. Pillai, C. Artus, and E. Bertrand for providing plasmids and/or antibodies. S.N.B. is a recipient of a longterm HFSP fellowship. the Friedrich Miescher Institute is supported by the Novartis Research Foundation. - We would like to thank all the individuals from each of the SWEET countries who gave up their valuable time to participate in this study and were prepared to share their experiences with us. - We thank the ParkLands Foundation for allowing us to conduct this research on their property and Victoria A. Borowicz and Scott K. Sakaluk for assistance with this research. - We are indebted to Ms Mieko Imai and Ms Tomoko Yamabe for data management, and to Dr Haruhiko Fukuda for direction of the JCOG data center and oversight of management of the study. This work was supported in part by Grants-in-Aid for Cancer Research and for the Second-Term Comprehensive 10-Year Strategy for Cancer Control from the Ministry of Health, Labour, and Welfare (Tokyo). - The authors declare that there is no conflict of interests regarding the publication of this paper. - The authors acknowledge grant support from GE Healthcare, NIH (1R01 AR062581-01A1 and 1R21 AR063894-01A1), and the VA Clinical Science Research and Development Service (Career Development Grant 1IK2CX000749). - Contract grant sponsors: Telethon (GGP13213), U.S. National Institute of Health (>AR059646 and AR053349); Ministero dell' Istruzione, dell' Università e della Ricerca, Fondo Innovazione in Ricerca. This work was supported by Telethon grant GGP13213 to FP, VS, and CR; by U.S. National Institute of Health Grants AR059646 and AR053349 (subcontracts to FP) and a by MIUR-FIR grant to EP. "the EuroBioBank and Telethon Network of Genetic Biobanks (GTB07001D) are gratefully acknowledged for providing biological samples". We thank Dr. Rosanna Asselta (University of Milan) for helpful advice and assistance in haplotype analysis. - Funding for the World Vegetable Center's general research activities is provided by core donors: Republic of China (Taiwan), UK aid, United States Agency for International Development (USAID), Australian Centre for International Agricultural Research (ACIAR), Germany, Thailand, Philippines, Korea, and Japan. In addition we like to thank Global Crop Diversity Trust for contribution to meetings and to this open-access publication. - We are grateful to Dr. Michael W. Hess (Division of Histology and Embryology, Medical University of Innsbruck, Austria) for generally allowing us access to a transmission electron microscope. - Work on mistranslation in the Ibba Lab is supported by funding from the National Science Foundation (MCB 1412611), an Ohio State University Center for RNA Biology Fellowship (to K.M.) and NIH Training Grants T32 GM008512 and GM086252 (to A.M.). - The authors gratefully acknowledge the financial support by the Polish Ministry of Higher Education (Grant no. 15.11.170.576). - This work was supported by grants from Italian MIUR (FIRB RBAP10Z7FS_002) to SC and from University of Ferrara (Italy) to V.B. We thank Mr. Cosmo Rossi for his technical expertise in producing xenografts. - The study was supported by the Ministry of Higher Education Malaysia and the Japan Society for the Promotion of Science (JSPS) Asian CORE Program titled "Establishment of research and education network on coastal marine science in Southeast Asia". We would like to express our appreciation to Dr. Norio Nagao, Mr. Hideyuki Takatsuji, Mr. Zainuddin Ibrahim, Mr. Husdy Salleh and Mr. Soed Mokhtar for their assistance in the field sampling. We would also like to thank Dr. Htay Aung, Dr. Azman Abdul Rahim, Mr. Zuhaimi Samad and Miss Fatin Zahidah Zainal for their help with the illustrations and Dr. Shuhei Nishida for reading the manuscript and for his invaluable comments. We are grateful to our referees for their comments that helped improve the manuscript. - Acknowledgments The study is funded by the Netherlands Organization for Health Research and Development, grant number 300020012. - Shane Waters thanks the University of Adelaide for his Postgraduate Award and the Australian Centre for Plant Functional Genomics for support. This work was supported by the DP120100900 and LP120100201 grants from the Australian Research Council awarded to MH. - This research work is an output of the research project "Modelling of selected indicators and processes in drinking water supplies", reg. no.: FAST-S-17-4643 and also a project "Influence of hydraulic conditions in the water supply network on selected indicators of drinking water quality", reg. no.: FAST-J-17-4475. Both of them was supported through the internal grant agency of the Brno University of Technology. - We thank the Diamond Light Source for access to beamlines I02, I03, I04, I04-1 and I24 (proposal numbers MX6638 and MX8659). The work was funded by the BBSRC (BB/ L02022X/1), a Kelvin-Smith Scholarship from the University of Glasgow and a Sir Henry Wellcome Fellowship awarded to R.G.: award number 106077/Z/14/Z. During this work I.J. was supported by a studentship from the Wellcome Trust: award number 093592/Z/10/Z. - M. I. Ransome is supported by the NHMRC Biomedical Fellowship. A. J. Hannan is supported by the ARC Future Fellowship (FT3) and his research has been funded by NHMRC Project Grants. - The authors received editorial support from Eva Polk, Ph.D., at Excerpta Medica in the preparation of this manuscript, which was funded by Celgene Corporation. The authors are fully responsible for all content and editorial decisions for this manuscript. - The work was partially supported by Research Funds from the County of Västra Götaland, Sweden. - I couldn't possibly include all references since there are thousands. Instead I would like to acknowledge the contributions made by all scientists in the field of human genomics, comparative genomics, epigenetics and the related areas of my article. All of the relevant background articles are available at the NCBI website, particularly the PubMed. - This work was supported by a grant from the National Institute of Mental Health , NIMH (1 R01 MH0820-54) to Drs. Klump, Boker , Burt, Keel, Neale, and Dr. Cheryl Sisk. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Mental Health. - Acknowledgments I appreciate the valuable editorial suggestions and corrections by John F. Kern, of Winnetka, IL. I am grateful to Bob Buchanan, Dee Benson and Carole Mayo for their support. I thank Govindjee for his invitation, his extensive editing (especially in providing the reference list), his patience and above all his ever-lasting persistence and encouragement that has led to the completion of this letter. - This work has been partially supported by the EC funded project Swan-iCare (FP7-ICT, Project No. 317894) and "TEAChER: TEach AdvanCEd Reconfigurable architectures and tools" project funded by DAAD (2014). - Acknowledgements. We thank an anonymous referee. Also, we are very grateful to Professor Peter P. Eggleton for sharing his binary evolution code. This work was sponsored by the National Natural Science Foundation of China (Grant Nos. 11463002 and 11373020), the Open Foundation of key Laboratory for the Structure and evolution of Celestial Objects, Chinese Academy of Science (Grant Nos. OP201405, OP201404(B615015)), the Science Foundation of Jimei University (Grant No. C613030), and Science and Technology Foundation of Guizhou Province (Grant LKK[2013] No. 20). - Acknowledgements. Development of the Medusa GC/MS systems, calibrations, and measurements were carried out as part of the international AGAGE research program and supported by the NASA Upper Atmospheric Research Program in the US with grants NNX07AE89G to MIT, NNX07AF09G and NNX07AE87G to SIO, Defra and NOAA in the UK, CSIRO and the Australian Government Bureau of Meteorology in Australia. We thank J. P. Severinghaus (SIO) for the Megadunes firn samples from Antarctica, J. E. Shields (SIO) for an air-age estimate of the deepest and oldest Megadunes firn air samples used in this work, V. V. Petrenko and J. P. Severinghaus (SIO) for the ancient NH ice samples from the Pâkitsoq site in Greenland. We especially thank E. J. Dlugokencky, J. W. Elkins, B. D.Hall, and S. A. Montzka (NOAA/GMD), C. D. Keeling (deceased) and R. F. Keeling (SIO), N. Schmidbauer, O. Hermansen, C. R. Lunder (NILU), and R. C. Rhew (UCB) for air samples. We thank R. A. Rasmussen and the Oregon Graduate Institute (OGI) for originally collecting the Cape Meares Northern Hemispheric samples which were provided by NOAA/GMD, NILU, and CSIRO. We are indebted to the staff at the AGAGE sites for their continuing contributions to produce high quality measurements of atmospheric trace gases. In particular, we thank G. Spain (Mace Head), R. Dickau (Trinidad Head), J. Mühle et al.: Perfluorocarbons in the global atmosphere P. Sealy (Ragged Point), M. C. Cunningham (Cape Matatula), C. G. Rickard, and J. Z. Ward (Cape Grim). In addition, we thank M. Leist (CSIRO) for his excellent technical support of the Cape Grim Medusa system. We are especially thankful to R. Knapp, J. Marks, and C. Bayliss (International Aluminium Institute, IAI), M. Ison (Australian Aluminium Council, AAC) and the two anonymous reviewers for their insightful comments and reviews which contributed to the improvement of this manuscript. - Funding: This work was supported by the National Cancer Institute grants P01 CA018029 and CA033084, and the Leukemia and Lymphoma Society SCOR program LLS-7008-09. AGC is supported by a Walker Fellowship Award, and GBR was supported by a Leukemia Lymphoma Society Special Fellow Award 4442-09. - We thank Marian Boguñá, Alessandro Flammini, and Romualdo Pastor-Satorras for a critical reading of the manuscript. - The author is grateful to Drs P. Husby and I. Romslo for helpful discussions. The technical assistance of Mrs A. Iden is greatly acknowledged. The study was supported in part by the Norwegian Research Council for Science and the Humanities. - This work was carried out with the support of Cooperative Research Program for Agriculture Science & Technology Development (Project no. PJ010156022014), Rural Development Administration, Republic of Korea. The authors specifically thank the staff and crew of the National Center for InterUniversity Research Facilities (Seoul National University) for assistance with the NMR and GC/MS experiments. - We particularly wish to thank the SL Division for the efficient operation of the LEP accelerator at all energies and for their continuing close cooperation with our experimental group. We thank our colleagues from CEA, DAPNIA/SPP, CE-Saclay for their efforts over the years on the time-of-flight and trigger systems which we continue to use. In addition to the support staff at our own institutions we are pleased to acknowledge the References - The study was supported by the National Natural Science Foundation of China (81472390/ H1619,81472762/H1609), the National Funds for developing local colleges and universities (B16056001), General Project (1201410188). We thank Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University for flow cytometry analysis. - This work was partially supported by the CONACyT projects No. 29250E and 27676E, and the project IN114998 funded by the DGAPA-UNAM. - Steven Kalb, Yankai Li, Tim Cummings, Bryan Hammons, Deborah Farr and Justin Carter assisted with this research. - We thank Werfen/Instrumentation Laboratory for providing us with the test kits for the inter-center comparison. - Acknowledgments We thank Petra Laspe and Antje Apel for invaluable technical assistance. This work was supported by grants from the German Cancer Aid (Deutsche Krebshilfe) and the Deutsche Forschungsgemeinschaft DFG (GRK1034). - We would like to thank Dr. Rick G. Pleijhuis for kindly developing a user-friendly web-based calculator based on our updated models to facilitate the use of our models. G.J. The study funders did not participate in the design of the study; the collection, analysis, or interpretation of the data; the writing of the manuscript; or the decision to manuscript submission. - The authors are grateful to the Spanish government project TEC2010-20224-C02-01 and the European project ECOAL-MGT -SUDOE Program. - The authors would like to thank the referee for his suggestions which helped in improving the paper. - Foremost we thank Dr. Robert C. Drewes who continues to initiate, coordinate and lead multiorganism biotic surveys on São Tomé and Príncipe. We thank Eng. - Acknowledgements. We thank the referee, especially for pointing out [1, Theorem 2] which simplified the proof of Theorem 5.1 considerably. - The present study was supported by the Key International Cooperation Program of the National Natural Science Foundation of China (project no. 31110103916; Beijing, P.R. China), the Agricultural Science and Technology Innovation Program (ASTIP-IAS08; Beijing, P. R. China), and the China Agriculture Research System (project no. CARS-42; Beijing, P. R. China). - I would like to thank the following people for all their help and professional support in the completion of this book: George Banks, Menu Development, British Airways, London. Scott Chapman, Senior Partner, Medical Litigation, Tress, Cox and Maddox, Sydney, Australia. - Collecting trips in Asia were funded through USDA-ARS Specific Cooperative Agreements 58-5320-9-382 and 58-5320-4-018, managed by the University of Hawaii's College of Tropical Agriculture and Human Resources (UH-CTAHR). A study trip in Australia was covered by Farm Bill funding (project 3.0251), through a Cooperative Agreement between USDA and UH-CTAHR. Additional support was provided by USDA-NIFA Hatch projects HAW00942-H and HAW00956-H, administered UH-CTAHR. We also thank Anthony R. Clarke for reviewing an earlier version of the manuscript and Richard A.I. Drew and David L. Hancock for their insight, mentoring and long hours discussing the relationships among species in the OFF complex and the higher classification of dacine fruit flies. Desley Tree and Justin Bartlett provided access to the impressive QDAF fruit fly collection in Brisbane. The use or mention of a trademark or proprietary product does not constitute an endorsement, guarantee, or warranty of the product and does not imply its approval to the exclusion of other suitable products by the U.S. Department of Agriculture, an equal opportunity employer. - This study was supported by grants from the CLL Global Research Foundation, the EUCAAD 200755 project funded under the auspices of the EU Seventh Framework Programme, the Cancer and Allergy Foundation, the Swedish Research Council/SIDA/ SAREC, the Iranian Ministry of Health and Medical Education, the Swedish Cancer Society, the Cancer Society in Stockholm, the King Gustaf Vth Jubilee Fund, Vinnova, the Karolinska Institutet Foundations and the Stockholm County Council. - We are grateful to the Career Training Interexchange program that facilitated the training period of Maitane Olabarrieta within the USGS. Maitane Olabarrieta also acknowledges funding from the ''Cantabria Campus International Augusto Gonzalez Linares Program.'' We would also like to thank Giovanni Coco, John C. Warner, and Falk Feddersen for their support with this work and constructive suggestions. We are also grateful to the developers of the COAWST modeling system, SWAN, and ROMS models. WRG was supported by ONR grant N00014-13-1-0368. The authors would also like to thank Sergio Fagherazzi, Xavier Bertin, and the third journal reviewer for their suggestions. The data and numerical results used in this paper will made available upon request to the main author. - We thank the Red Wolf Recovery Program, specifically Rebecca Bartel, Art Beyer, Chris Lucash, Ford Mauney, Michael Morse and Ryan Nordsven for their support. We also thank Kristin Brzeski for constructive comments on the manuscript. The findings and conclusions in this article are those of the authors and do not necessarily represent the views of the U.S. Fish and Wildlife Service. - We are grateful to the families and patients who have participated in this research study. We acknowledge Hilde Van Esch for help with patient recruitment, and we thank Yi Mu, UC Davis Department of Public Health Sciences, for assistance with data management and analysis. - Acknowledgements. I would like to thank the referee for his/her careful reading and valuable comments. - The authors are thankful to the Marine Products Export Development Authority (MPEDA, Kochi), the Chief Executive of National Fisheries Development Board, Hyderabad and Dr.R.Jaya Kumar, Senior Scientist, CMFRI Mandapam. We are also grateful to Sri. Rama Sankar Naik, IAS, Commissioner of Fisheries, Andhra Pradesh, India. - This research was supported by a grant from the National Cancer Institute (R37-CA-057030). - The project described was supported by Grant Number OH 03970 from CDC-NIOSH to MFB and AR051212 from NIAMS to AEB, the Sandler Foundation, NIH Grant NS-10414, Centre National de la Recherche Scientifique (CNRS, in destruction process), Ministère de l'Enseignement Supérieur et de la Recherche, Fondation NRJ -Institut de France to JOC and MR. FS was partly supported by a HFSP long term fellowship LT 00743/1998-B and partly by personal fundings. - We would like to thank the Medical Research Center of Peking University Third Hospital for technical guidance. PC3 and HEK293 cells were kindly donated by Wei Zhang, PhD from the Institute of Zoology, Chinese Academy of Science. - There are so many people to thank for this book that it could've - We are grateful to Simone Duis and Natalia Pavlova for help with surgeries, Laetitia Baud for assistance with animal care, Quentin Barraud and Julie Kreider for histological analyses and anatomical reconstructions, and Samuel Gex for help with building the robotic device. - I thank M. T. Mponda for her patience and extra time devoted to typing the original manuscript. I also thank D. E. C. Mughogho for his moral support and reviewing of the initial draft. Lastly I thank the anonymous referees of my paper for their useful comments. - The assistance of Mrs L.K. Frymovich in preparing the manuscript for publication is greatly appreciated. - The author would like to thank Graeme Chamberlin, Barry Williams and Chris Davies for their comments. - Acknowledgements We thank Professor Anders Lund for giving us access to the EPR lab at IFM-Chemical Physics, Linköping University and Professor Sandra S. Eaton, University of Denver, for advice concerning EPR data analysis. We acknowledge Professor Mikael Lindgren and Dr. Malin Persson for valuable discussions and advice. We also gratefully acknowledge Dr. Christian Altenbach, University of California, Los Angeles, for providing his software for determining inter-residue distances. This work was supported by grants from the Swedish Foundation for Strategic Research (PH), the Swedish Research Council (BHJ, PH, and UC), and the Knut and Alice Wallenberg Foundation (BHJ, PH, and UC). PH is a Royal Swedish Academy of Sciences Research Fellow supported by a grant from the Knut and Alice Wallenberg Foundation. - Ronald L. Jacobs, Chair - We thank Dr. Aiping Lin at the Yale W.M. Keck Biostatistics Resource for analysis of microarray data. Supported by grants from the National Institutes of Health to SG. - The statistical evaluation by Michael Obermayer (GKM Gesellschaft für Therapieforschung mbH, Munich) is acknowledged. - The authors would like to acknowledge the Research Council of University of Tehran and the Iran National Science Foundation (IN SF ) for the grants provided for them. They also would like to sincerely thank Professor Ian Thompson for his valuable help regarding the FRESCO code. - This study was supported by a VHS Medical Center Research Grant, Republic of Korea (grant number: VHSMC 15012). - This work was supported by a grant from the National Institutes of Health (NHLBI R01 HL64794). - I am grateful to Mrs Nicolette Budden, Mrs Stella Oates and Mrs Catherine Wright for assistance in the preparation of this article. I also wish to thank Professor A. Hewish FRS, Sir Maurice Wilkes FRS, Professor K. Suchy, Dr R. P. Mercier, Dr A. J. M. Garrett, Dr M. Rycroft and a number of others for helpful comments on the article in draft form. I also thank the Society's referee for advice. Librarians at St John's College, Cambridge, and at Churchill College, Cambridge, kindly assisted with access to archival material. Kenneth Budden left very extensive autobiographical material on computer disks, which I have used and occasionally quoted. The frontispiece photograph was taken by Walter Bird and is reproduced with permission from the Godfrey Argent Studio. - The authors wish to thank dental students Barbara Mikecs, Júlia Németh, Péter Csányi, and Adél Ruszin for their assistance in collecting data. This study was funded by the Research Fund of the Faculty of Dentistry, Semmelweis University, Hungary (4030511599 and 5111141075), and the Hungarian Scientific Research Fund (OTKA K112364 and K-112964). The Mucograft was kindly donated by the manufacturer (Geistlich Pharma AG, Switzerland). - The authors are grateful to INSS (Japan), EDF (France), Areva (France), and EPRI (US) for supporting their SCC-related research. - We thank AstraZeneca for providing AZ-4217, Mark Smith (Imperial College, London) and Yuchio Yanagawa (Gunma University, Maebashi) for VGlut2-GFP and GAD67-GFP tissue, respectively. This work was funded by Medical Research Council (MR/K003291/1), Diabetes UK (12/0004458), British Heart Foundation (PG/15/44/31574) and Biotechnology and Biological Sciences Research Council CASE (with AstraZeneca) award (BB/I015663/1) to MLJA and by a grant to LKH from the Wellcome Trust (WT098012). - The authors thank the subjects who participated in the study. - We gratefully acknowledge financial support from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), Proc. 95/3636-3. - This study was supported by a restricted grant from Roche. The funder had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. - We thank Ada Tam, Hao Zhang and Lee Blosser of the Johns Hopkins Core Flow Cytometry facilities for their assistance with flow cytometry and cell sorting. - The study was supported by University of Udine, Italy, Associazione "Mi Fido di Te" ONLUS and Fondazione Cassa di Risparmio di Città di Castello, Italy. - The VHR imagery was provided by the US Department of State (USDS) Humanitarian Information Unit, under the NextView License. The authors thank the FAO-SWALIM staff, without whom the field campaign would not have been possible. Finally, the authors thank Dr Roberto Colombo of the University of Milan-Bicocca for the field spectroscopy equipment used in the field campaign. - We thank Rick van Leeuwen, Wouter Verhesen, Kevin Custers, and Hans Duimel for their technical support. - Acknowledgements. This research was supported by grants to RL, BZ and KV from the Swedish Cancer Society, the Stockholm Cancer Society, the Swedish Research Foundation, the Swedish Childhood Cancer Foundation, the Swedish National Board of Health and Welfare, the Stockholm County Council, the Karolinska Institutet Research Fund and the European Union FP6 (Chemores), and FP7 (Apo-Sys). VOK was supported by a fellowship from the Swedish Institute and Karolinska Institutet and AHV from the Wenner-Gren Foundation. - This manuscript benefited from careful and constructive reviews by J. P. Brun Geochemistry, Geophysics, Geosystems - The study is funded by Medtronic Inc. - We acknowledge J. A. Hoyos for a critical reading of this manuscript and useful comments. The financial supports from CNPq and FAPESP, under grants 15/04451-2 and 307620/2015-8, are also acknowledged. - Acknowledgement: The authors wish to thank H. Dong, J. Guzman, and I. Tice for their discussions and pointing out references [2, 13, 14] on regularity of Stokes problems in a domain with corners. Y. Guo's research is supported in part by NSF C grant 10828103 and NSF grant DMS-0905255, and T. Nguyen's research was supported in part by the NSF under grant DMS-1405728. - The authors are grateful to Christian Lafarge for animal care and Anne Diot and Corine Pouyet for participation in tissue protein synthesis determination. The authors had no conflicts of interest. This research was supported by the Proteus Bilateral Programme between Slovenia (Slovenian Research Agency) and France (French Research Ministry). The contribution of each author was as follows: T. P., conception and design, tissue sampling, data processing, drafting and revision of the manuscript; L. M. and D. R., conception and design, tissue sampling, revision of manuscript; M. C. R., protein synthesis rate determinations; C. B., design, tissue sampling, blood cell counts and MPO determinations, data processing; J. S., conception and design, tissue sampling, data processing, revision of manuscript; P. P. M., conception and design, animal experiment, tissue sampling and revision of manuscript. - The authors gratefully acknowledge BAU-USDA Soybean Project, for financial assistance to conduct this experiment. - Acknowledgments KS-A, RM, XY, CL, LG and MV wish to thank Changyu Fan and Yun Shen for providing informatics support. - The publication of this article was funded by the Qatar National Library. - This work was supported by the National Science Foundation with Grant BCS 9207007. Drs Petrie and Collins were research residents supported by the Department of Orthopaedics. No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article. - We wish to thank the women for their participation in this study. - The authors would like thank the financial support from the Portuguese Foundation for Science. - This work was supported by a Grant from the National High Technology Research and Development Program of China (863 Program, no. 2014AA093501) and National Natural Science Foundation of China (Project nos. 30672742, 30873353, and 30930113). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the paper. Dr. Ling Xu and Dr. Jin Yu are co-first authors. - This work was supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) Grant No. R01-EB-002091 and through a NIBIB American Recovery and Reinvestment Act Administrative Supplement. - We gratefully acknowledge the contribution of participating parents and children, general practitioners, hospitals, midwives and pharmacies in Rotterdam. - Contributors/Acknowledgement: All authors participated equally in designing and estimation of current research. Views and opinions expressed in this study are the views and opinions of the authors, Asian Journal of Agriculture and Rural Development shall not be responsible or answerable for any loss, damage or liability etc. caused in relation to/arising out of the use of the content. - The encapsulating style of delivery was proposed by Charlie Perkins. Jim Solomon has been instrumental in shaping this document into its present form. - The authors declare that there is no conflict of interests regarding the publication of this paper. - We wish to thank Dr. Solomon S. Senok at Alfaisal University, Saudi Arabia for critically reading the manuscript, improving English text and providing constructive comments on the manuscript. This work was supported by - Special thanks to Dr. Wil Linkugel for encouraging the continued exploration of Franklin Roosevelt's 1932 campaign orations and drawing the author's attention to this particular speech and Mr. Andrew Crick for his editorial assistance throughout the project. - We thank Dr. Kohki Yoshimoto for the use of atg mutants and Dr. Shinya Wada for the use of GFP-ATG8 transgenic plants. - We thank Ms. Meehye Kim for technical assistance. This work was supported by grants from the Korean Academy of Tuberculosis and Respiratory Diseases. - Authors are grateful to the Leeds group of Prof. A.A. Watson for the array disposition and maintenance, in particular J. Beaman, J. Lloyd-Evans, P. Ogden and M. Patel. The same gratitude is due to the Palermo group of Prof. L. Scarsi for the PLASTEX and RPC operations. A particular thanks are to Dr. J. Knapp and Dr. D. Heck for their indispensable help in installing and running CORSIKA 4.50 Monte Carlo in Naples. - The authors are thankful to KB Low for providing wild-type M13 and to S Alonzo, KB Low, D Vasseur, and GP Wagner for useful discussion. We are also grateful to J Bull for suggesting we explore a model of phage loss. We thank S Wielgoss and two anonymous reviewers for helpful comments on the paper. - This research is supported in part by ROC NSC under contract number NSC97-2221-E-128-005-MY3. Also, the author would like to thank Prof Horng-Twu Liaw and Mr Shin-Han Wu of Shih-Hsin University and Mr Chih-Ta Yen of National Taiwan University of Science and Technology for their help in this paper. - We acknowledge the National Collaborative Research Infrastructure (NCRIS) of Australia for providing access to bioinformatics computational pipelines used in this study and the Research Institute of Forestry, Chinese Academy of Forestry for financial support (ZD200902). - Funded by a grant from the National Institute on Aging (R01 AG023090). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Aging or the National Institutes of Health. - This study was supported by the International Center for Advanced Renewable Energy and Sustainability at Washington University in St. Louis, Missouri and the Johns Hopkins Global Center on Childhood Obesity (no. 2001656847). We thank the study participants for their cooperation and Leslie Duling and Nora Geary for their help in study coordination, data collection, and data management. - The authors gratefully acknowledge Solvay Engineering Plastics for supporting this work and for providing material data and specimens. This work benefited from the financial support of the French Minister for Research (ANRT) (Grant no: CNRS 079212: UM2 121532) and was performed in the framework of the European DURAFIP project (FUI project supported by Oseo). - The authors wish to thanks all those administrators and practitioners who participated in the study. A special acknowledgement is given to the funder of the research project the Centre jeunesse de Montréal Institut Universitaire. Its contribution makes this project possible. - Acknowledgments. This work was supported by PRGS under the Grant No. GRS100323, Universiti Malaysia Pahang, Malaysia. - The authors thank all of the study participants. We also thank James Hicks for his editorial assistance. - Acknowledgements. We thank the Australian Partnership for Advanced Computing (APAC) for generous grants of supercomputer time which have enabled this project. Support from the South Australian Partnership for Advanced Computing (SAPAC) and the National Facility for Lattice Gauge Theory is also gratefully acknowledged. DBL thanks Jefferson Lab for their kind hospitality where the majority of this research was performed. This work is supported by the Australian Research Council and by DOE contract DE-AC05-84ER40150 under which SURA operates Jefferson Lab. - The authors thank Kelli Hellenbrand and Sara Pladziewicz for helping the volunteer scans. Grant sponsors: NIH: R01NS066982-01; R21EB009441-01; R01EB006882-01. - This work was funded by NIH grants GM116381 and HG008140, and by the Howard Hughes Medical Institute. We thank Jeffrey Spence and Yun S Song for technical assistance. We also thank Ziyue Gao, Arbel Harpak, Molly Przeworski, Joshua Schraiber, and Aylwyn Scally for comments and discussion, as well as two anonymous reviewers. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - Acknowledgments Leiden University and NWO BSIK/BRICKS supported this research under Grant #642.066.603. Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. - This work was supported by the South China Chinese Medicine Collaborative Innovation Center (no. A1-AFD01514A05) and Characteristic Key Discipline Construction Fund of Chinese Internal Medicine of Guangzhou University of Chinese Medicine (2013)(2014)(2015). - The authors wish to thank all researchers involved during the project, especially to the staff of TecPes (Laboratorio de Tecnología Pesquera) at Pontificia Universidad Católica de Valparaíso (T Melo, CF Hurtado, D Queirolo, E Gaete, I Montenegro and R Escobar). Additional thanks to members of "Programa de Conservación de Tiburones, Chile" and ELASMOLAB staff at Universidad Austral de Chile for their valuable help with logistics, sampling and dissection help during fieldwork, especially J Lamilla, F Concha, H Flores, Y Concha-Perez and A Isla. - I thank K. Wang for providing the research environment required to perform these experiments and for helpful discussions, G. Seabold, E. Tytell, and M. Yoshizawa for critically reading the manuscript, G. Ashida for helpful discussions, and K. Nakao and R. Renden for additional scientific comments on the manuscript. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - We thank Oliver Rauhut (Bayerische Staatssammlung für Paläontologie und Geologie, München), Miriam Zelditch (University of Michigan), Johannes Knebel (Ludwig Maximilians University, München), Stefan Richter (University of Rostock), Walter Joyce and Eduardo Ascarrunz (both University of Fribourg) for discussion, and Michel Laurin (Sorbonne Universités, Paris) for comments on an earlier version of the manuscript. We further thank Matthew Lamanna (Carnegie Museum of Natural History, Pittsburgh), Alex Downs (Ruth Hall Museum, Ghost Ranch), David Gillette (Museum of Northern Arizona, Flagstaff) and Xu Xing (Institute of Vertebrate Paleontology and Paleoanthropology, Beijing) for access to collections. This study benefitted especially from critical comments of Jesús Marugán-Lobón (Universidad Autónoma de Madrid) and three anonymous reviewers. - The authors thank Y. Polyrakis and seminar participants in the Conference on Ordered Spaces and Applications (Athens, November 2011) for helpful comments. - The sketch for Fig. 1 was adapted from www.biologieunterrricht. info/-Media/umrisse-mensch.jpeg, licensed by Creative Commons. - The author acknowledges the assistance provided by officials of the Government of Pakistan. the united Nations and its specialized agencies. and non-governmental organizations engaged in providing help to Afghan refugees in Pakistan. The author is particularly grateful to the united Nations Population Fund (UNFPA) for allowing him to use material collected during a mission undertaken on their behalf in early 1989. Views expressed are the author"s own and not na€essarily those of the UNFPA. - This project has been supported by grants from the MCB RAS and the Russian Foundation for Basic Research (14-04-00004 and 13-04-01878-a). This research was partially carried out using the equipment provided by the IBCH core facility (CKP IBCH). Diffraction experiments were carried out on beam- - We thank all the ACCLAIM/COPD study investigators and Covance Inc. We also thank Dr Sharon Gladwin from Complete Medical Communications, who provided medical writing support. This study was funded by Almirall, S. A., Barcelona, Spain, and Forest Laboratories, Inc, NY, USA. Competing interests PWJ has received fees from a number of pharmaceutical companies, including Almirall, for speaking at meetings and for consulting and participating in advisory board meetings, and has also received support for research from GSK. SIR has consulted on or participated in advisory boards for numerous pharmaceutical companies, including Almirall, GSK, AstraZeneca, Novartis and Nycomed. He has received industry-sponsored grants from AstraZeneca, Biomarck, Centocor, Mpex, Nabi, Novartis and Otsuka. AA has received fees for speaking and consultancy, as well as funds for research, from Almirall, GSK, AstraZeneca, Boehringer Ingelheim, Esteve and Chiesi. PC has received fees for speaking and consultancy from Centocor, AstraZeneca, Chiesi, GSK, Boehringer Ingelheim, Nycomed, Novartis and Almirall, as well as research grants from Schering Plough and Centocor. HM has received funds for research and fees for consulting from a number of pharmaceutical companies. LF has served as a consultant to, and received lecture fees and grant support from, Nycomed, AstraZeneca, Boehringer Ingelheim, Chiesi, GSK, Merck Sharp & Dohme and Novartis. JFD has served on advisory boards for Almirall and Forest Laboratories. EDB has received remuneration for consulting and serving on advisory boards for Almirall, and his institution has received grants for taking part in clinical trials sponsored by Almirall and Forest Laboratories. NJG has received honoraria for presentations on COPD treatment at meetings sponsored by Almirall and Forest Laboratories, as well as payments for advisory board consultations. His institution has received research grants from Almirall and Forest Laboratories. RL and EGG are employees of Almirall. CC is an employee of Forest Laboratories, and holds stock and options in the company. - We thank Dr. Lyle Sensenbrenner for his critical review of the manuscript. - This work was supported by JSPS KAKENHI Grant Number 23500211. - We gratefully acknowledge financial support by Deutsche Forschungsgemeinschaft, Sonderforschungsbereich 412, University of Stuttgart. - Work on this project was supported by an operating grant of the Canadian Institutes of Health Research (CIHR), infrastructure grants from the Canadian Foundation for Innovation and generous philanthropic support by the A. Irwin family. DB was supported by a Canada Graduate Scholarship, and MM received an Ontario Trillium fellowship. - We thank the referee for providing valuable comments, and Jarle Brinchmann, David Sobral, and Simone Weinmann for useful discussions. We acknowledge funding from ERC grant HIGHZ No. 227749. - The authors wish to thank Gena Lattin, MS for her assistance with data collection. RS is the recipient of a Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NIH) career development award K23 HD052553. This project was supported in part by the Children's Health Research Center at University of Utah and Primary Children's Foundation. - Acknowledgements: The authors thank Dr M.C. Yadavannavar at BLDE University for his assistance with data collection, Dr Veena Algur for her assistance with translation of study materials, and the adolescents and their families for participation in this study. - The authors thank the Unit of Support for Technical and Scientific Research (UATRS, CNRST) for the X-ray measurements. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: BT5773). - The authors are grateful to the department of chemistry, Niger Delta University, PMB 071. Wilberforce Island. Bayelsa State. Nigeria, where both the experimental determination of proximate and mineral analysis were conducted. - Acknowledgements. The authors wish to thank W. Bode (Martinsried) for helpful suggestions, M. Dumbsky for expert technical assistance, H. Hof (Mannheim) for help in the preparation of anti- - We thank the Wildlife Conservation Society (Russia), Eugenia Bragina for the invaluable help in writing the report, Irina Maslova, Yuri Petrunenko and Alexander Nikanorov for valuable comments - The writers are indebted to E. Navarro Raga, P. Gómez Garcia and M.T. Mínguez Hernández from the SCSIE Electron Microscopy Unit at the University of Valencia for their useful technical help, and M. Palomo Navarro for assistance with sample collection. Ramirez P and Menendez R are - This research was supported by the College of Agriculture and Life Sciences, the Graduate School, and a grant from the National Institutes of Health (GM-21205). I thank Dr. T. Ishikawa for providing the TS mutants and Dr. R. K. Littlewood for permission to present unpublished data from his Ph. D. dissertation on growth of the extrachromosomal mutants. The excellent technical assistance of Ms. P. Riese is acknowledged. - This research was supported in part by funding from the University of California Office of the President's Office of Research and Graduate Studies. Authors acknowledge the UC BRAID for project and data management support; Verónica Hoyo, Ph.D. (UCSD) for her help in editing and graphics, and John Heldens and Dan Redline, former program directors at UCSF and UCD, respectively, for their contributions to the developmental stages of this study. - We thank the Centers for Disease Control (CDC) for A/California/04/09 virus and Ron Fouchier (Erasmus University, Rotterdam, The Netherlands) for A/Netherlands/603/09 virus. We thank Krisna Wells for editing the manuscript, Martha McGregor, Rebecca Moritz, Anthony Hanson, Hideaki Ishida, Hideaki Tsuchiya, Ryuzo Torii, Naoki Yamamoto, Kosuke Soda, Naoki Nomura, and Hiromi Yoshida for excellent technical assistance. We also thank Takashi Umemura, Yuji Sunden, and Tomohisa Tanaka for pathological analyses of virus-infected pigs. - This research was supported by a Grant from the Korea Institute of Oriental Medicine (K12130) and funds from Michigan AgBioResearch. - We are indebted to Dr Ulrich Desselberger, Dr James Richards and Prof. Andrew Lever (University of Cambridge) for the generous gift of the full-length cDNA copies of RV genomic segments for in vitro transcription; Dr John Patton for sharing a DNA clone pQE60g8C for expressing group C rotavirus NSP2. The authors would like to thank Dr Ulrich Desselberger (University of Cambridge) for critical reading of the manuscript; Prof. Takeshi Kobayashi (University of Osaka) for his valuable advice and discussions on the rotavirus reverse genetics system established in his laboratory. We thank Dr John T. Patton (University of Maryland), Prof Peter Stockley, Dr Roman Tuma and Mr Jack Bravo (University of Leeds) for valuable discussions and comments during the preparation of the manuscript. Available at Dryad Digital Repository under a CC0 Public Domain Dedication - The encouragement and constructive criticism of earlier versions of this paper by many friends and colleagues, especially Robert Austin, Martin Johanson, Sam MacAulay, Volker Mahnke, Ram Mudambi, Rajneesh Narula, Christos Pitelis and John Steen, are gratefully acknowledged. - We thank Ms Chiori Fukuyama for her skillful technical assistance. This study was supported by Grants-in-Aid for Scientific Research on Priority Areas (no. 17016065 and 16062101, to R. Ueda) from the Ministry of Education, Culture, Science, Sports, and Technology, Japan, and Grants-in-Aid for Cancer Research from the Ministry of Health, Labor, and Welfare, Japan (no. 17S-1 and 17-16, to S. Iida). - The work of N.E.M. is partially supported by P.P.A.R.C. (U.K.). E.W. wishes to thank Oriel College (Oxford) for financial support and the Department of Physics, University of Newcastle (Newcastle-upon-Tyne) and CERN Theory Division for hospitality. - We would like to thank Lucilla Scuto (Central Core Lab, EuroImaging, Rome) for careful assistance in collecting digital images from the suburban centres, and in storing echo and ECG readings. We are also grateful to Dr Tarcisio Vago, Ospedale Luigi Sacco (Milan, Italy) for assaying NT-proBNP, and to Margareth Becker for her help in editing the manuscript. They funding body had no role in the concept or design of the study, or in the data reporting. - This study was supported in part by National Institutes of Health Grants R03 CA108364 (L.E.W.), P50 CA116199 (H.G.), R01 ES011740, and R01 CA131274 (Q.W.), and P30 CA016672 (M. D. Anderson Cancer Center). We thank Margaret Lung for her assistance in recruiting the subjects; Yawei Qiao, Kejing Xu, Zhensheng Liu, Jianzhong He, and Yinyan Li for their laboratory assistance. - This work was published with the kind financial support of Bulgarian Science Fund. - Acknowledgements This trial was funded and sponsored by Cancer Research UK (grant number C357/A12197). Also supported by the Christie NHS Foundation trust, the European Union FP6 Programme 'ATTACK' and Manchester Cancer Research Centre Biobank. Sincere thanks go to all the patients and their families who participated in this trial. - The authors declare that they have received no funding for the research reported. - The authors thank Susanne Schwanz for technical support, Oliver Gould for his help with the figure design, and Clemens Kunz (Friedrich-Schiller University Jena) for help with the formation of defined damages in the samples utilized for self-healing experiments. This work was supported by the Helmholtz-Association through programme-oriented funding. - Dr. Peter Hasselbacher kindly provided the histologic and immunofluorescent studies of the skin biopsy. Dr. F. C. McDuffie generously performed the monoclonal rheumatoid factor assays. - This book could not have existed without Conor Sally, who rejects all thanks and recognition but debated every comma on every page and supported me at every stage. I could not ask for a better friend, partner, cheerleader or taskmaster and will never be able to express the depths of my love and gratitude. - We thank the participants in the study. Funding. No funding or sponsorship was received for this study or publication of this article. The article processing charges were funded by the authors. - This work is founded by the German Research Foundation (DFG) (Contract CH 943/2-1). The authors would like to thank Wolfgang Dittus, and Stefan Paetel from Zentrum für Sonnenenergie-und Wasserstoff-Forschung Baden-Württemberg for preparing the CIGS absorber layer for this work. - We thank two anonymous reviewers for helpful comments that improved the manuscript. - We would like to thank David Rand, Hugo Sequeira, LIAAD-INESC Porto LA, Centro de Matemática da Universidade do Minho, Fundação Calouste Gulbenkian, Fundação para a Ciência e a Tecnologia (FCT), PRODYN-ESF, and Jorge Carneiro and Jorge Zubelli for all the encouragement and helpful comments. We thank the Programs POCTI and POSI by FCT and Ministério da Ciência, Tecnologia e do Ensino Superior, Calouste Gulbenkian Foundation, Centro de Matemática da Universidade do Minho (CMAT) and Centro de Matemática da Universidade do Porto (CMUP) for their financial support. Bruno Oliveira gratefully acknowledges financial support from PRODEP III by FSE and EU and Miguel Ferreira gratefully acknowledges financial support from Fundação para a Ciência e a Tecnologia (FCT) given through a PhD scholarship. - Acknowledgements: We thank Dr. F. Leal for technical assistance in FPLC analysis and N.S.D. Skinner for proofreading the manuscript. - Acknowledgments The authors are grateful to Nicky Wilkinson for advice on data protection issues and Adrian Smith and Dr. Cesar Pichardo-Almarza for testing the on-line analysis tools and reporting tools during the development of the DISRUPT postprandial database. We also thank Drs. Pieter Groot, Charlotte Walden and Cesar Pichardo-Almarza for proof-reading of the manuscript. the DISRUPT project was funded by a BBSRC Industry Interchange Program (IIP/ 0307/009). - Acknowledgments. This work was funded by the National Science Foundation (Grants OCE-0647667, OCE-1537890, AGS-1036062, AGS-1036006, and AGS-1444294), the National Oceanic and Atmospheric Administration (Grant NA07OAR4310094), and the Natural Environment Research Council (Grant NE/ J020893/1). The authors thank the anonymous reviewers for thoroughly and critically evaluating the manuscript. They are also grateful to the crew of the R/V Knorr for supporting us while chasing storms and that of the NOAA ship Ronald H. Brown for their support during SO GasEx. Data from the HiWinGS cruise will be made available via anonymous ftp (ftp1. esrl.noaa.gov/psd3/cruises/HIWINGS_2013/Collective_ - We thank Xiaoxiao Bai for helpful comments on the manuscript. This work was supported by the Patrick and Catherine Weldon Donaghue Medical Research Foundation, and by the Betsy and Jonathan Blattmachr family. Li Yang was supported by the China Scholarship Council. - We most thank Dr. Behnam Baghianimoghadam for his consultation in the translation, editing and publication of the manuscript. - The authors thank Ms. K. Arnold for excellent help with receptorbinding assays; Dr. Susan Potter-Perigo for preparing the purified proteoglycans; Dr. Robert W. Mahley for stimulating discussions and support; Drs. Stanley C. Rall, Eva-Hurt Camejo, German Camejo and Karl H. Weisgraber for comments on the manuscript; S. Ordway and G. Howard for editorial assistance; and J. Carroll and S. Gonzales for graphics. J. Borén was supported by a Howard Hughes Postdoctoral Fellowship for Physicians. This work was also supported by National Heart, Lung, and Blood Institute grants HL-47660, HL-18645, DK-02456, and HL-30086. - Acknowledgements: The authors would like to thank Rob Aalberse for critically reading the manuscript. - We thank the Jefferson Lab physics and accelerator divisions for their contributions. This work was supported by the US Department of Energy (including contract DE-AC02-06CH11357), the US National Science Foundation, the Israel Science Foundation, the Korea Science Foundation, the US-Israeli Bi-National Scientific Foundation, the Natural Sciences and Engineering Research Council of Canada, the Killam Trusts Fund, the Walter C. Sumner Foundation and the Deutsche Forschungsgemeinschaft (SFB 443). Jefferson Science Associates operates the Thomas Jefferson National Accelerator Facility under DOE contract DE-AC05-06OR23177. The polarimeter was funded by the US National Science Foundation, grants PHY 9213864 and PHY 9213869. - This work was financially supported by the National Natural Science Foundation of China (No. 81630093, 81874293). We thank Mr Hongbo Zheng and Ms Ke Xu for the NMR measurements. Ms Yanan Qiao and Dr Jiaozhen Zhang are also acknowledged for the X-ray diffraction analysis. - The excellent assistance of Susan V. Castro, PhD, in the preparation of the manuscript is gratefully acknowledged. - The reverse transcriptase was a gift from Dr J. Beard. We thank Drs M. Jacquet and N. Affara for helpful discussion, Christian Sahuquillo for his excellent technical assistance, and Denise Baron for typing the manuscript. A. F. was supported by a long-term European Molecular Biology Organisation fellowship. - Acknowledgments. This work was supported in part by National Institutes of Health Grants 5P50CA127003, R01CA149222, R01CA118 553, and National Cancer Institute Cancer Center Support Grant 5P30CA06516. We thank Dana-Farber/Harvard Cancer Center in Boston, MA, for the use of the Pathology Specimen Locator Core, which provided data on KRAS mutation testing. - The radar measurements used in this study can be obtained from the Madrigal database at http://jro.igp.gob.pe. The Jicamarca Radio Observatory is a facility of the Instituto Geofisico del Peru operated with support from the NSF AGS-1433968 through Cornell University. Work at UT Dallas was supported by NSF AGS-1261107 and AFOSR FA9550-13-1-0095. - [25] Acknowledgments. This work was supported by the NASA Tropical Rainfall Measuring Mission (TRMM) Program. The authors would also like to thank V. N. Bringi of Colorado State University and Bob Meneghini at NASA/GSFC for their discussions. - The Pennington Center Longitudinal Study is registered at ClinicalTrials.gov (Identifier NCT00959270). Special thanks to Connie Murla and Aimee Stewart for data management, as well as the many clinical scientists and staff of the Pennington Biomedical Research Center who have contributed data to the development of the Pennington Center Longitudinal Study. V C 2012 The Obesity Society - This work is supported by National Institute on Alcohol Abuse and Alcoholism (NIAA) Grant P20 AA017837 (LEN and CMC) and NIH Metabolism Training Grant T32-DK007319 (DAD). - We would like to acknowledge the families for their participation and support and Dr. Dilek Aktas for discussion. Our work was supported in part by the grant from the National Institutes of Health/National Human Genome Research Institute, number 1U54HG006542. Grant sponsor: National Institutes of Health/National Human Genome Research Institute; Grant number: 1U54HG006542. - This work was supported by the following awards: MRC Milstein award G0801721 (to MIH), NERC research grants NE/ J01074X/1 (to MIH) and NE/M015033/1 (to MIH/BW), Norwich Research Park (NRP) Translational Award (to BW/MIH), and a BBSRC NPRONET (BB/L013754/1) Proof of Concept award (to MIH/BW). RD is funded by a Norwich Research Park BBSRC Doctoral Training Program Studentship BB/M011216/1 and ZQ is funded by the BBSRC via Institute Strategic Programme Grant BB/J004561/1 to the John Innes Centre. The authors declare no conflicts of interest. We thank Catherine Tremlett, Andrew Hart and Ashleigh Crane at the Norfolk and Norwich University Hospital for the VRE strain and Justin O'Grady at the UEA Medical School for the MRSA strain. We are also grateful to Dr Jioji Tabudravu, University of Aberdeen, for his kind comments. KAW would like to thank the South African Centre for High Performance Computing for access to computational resources. - We wish to express our gratitude to Drs H.Tanida, S.Y.Park, S.Adachi and T.Hikima for their help in the data collection at SPring-8. This work was supported by grants for the`Research for the Future' Program from the Japan Society for the Promotion of Science (97L00501) and for the National Project on Protein Structural and Functional Analyses from the Ministry of Education, Culture, Sports, Science and Technology. - We wish to thank many colleagues in hospital and in practice, particularly Dr. K. Shirley Smith and others at the London Chest Hospital, who have kindly referred patients needing valvotomy. We are especially indebted to Mr. J. R. Belcher, who has taken an active part in the surgical management of the Middlesex Hospital patients. - The authors are grateful to the Centre for Chemistry and Biotechnology and Deakin University, Australia for supporting biofuel research. The authors thank Mr R Chaudhary, Dr R Kanwar, Prof J R Kanwar (Medical School, Deakin University) and A/Prof TTsuzuki (University of Canberra), for providing the magnetic nanoparticles. The authors are also grateful to the Electron Microscopy facility at the Institute for Frontier Materials (IFM), Deakin University, Australia for conducting the SEM work. - We thank our coworkers in the laboratory for their valuable discussions and suggestions. - The authors thank Ms. Masayo Tada for her excellent technical assistance and measurements of serum and hepatic enzymes and components. This work was supported by Gifu City Subsidiary for project creation "Industry-AcademicGovernment Cooperation Project Subsidiary". - This work was supported by Inha University research grant (No. 53670). We thank Prof. Jin Min Kim for insightful comments. - The authors are thankful to Director, CSIR-National Botanical Research Institute (CSIR-NBRI), Lucknow for the facilities and for the financial support from the network projects (CSIR-INDEPTH), New Delhi, India. APS is thankful to University Grant Commission, New Delhi, India and GD is thankful to CSIR, New Delhi for the award of Junior/Senior Research Fellowship and Academy of Scientific and Innovative Research (AcSIR) for his Ph.D. registration. Award of Fast Track Scientist to SM from DST is gratefully acknowledged. Award of Emeritus scientist (CSIR) project to RDT is gratefully acknowledged. - Acknowledgements. First and foremost, we thank P. J. Zinke for an insightful paper that inspired generations of ecologists. We are grateful to Will Pearse for statistical advice. We also thank the authors of the many published studies that we reviewed for this manuscript and two anonymous reviewers whose comments improved this manuscript. - Work at UB and UWM was supported by National Science - We acknowledge funding by the German-Israeli Foundation, and the DFG (Grant No. SA1031/6 and Excellenzcluster QUEST). - We thank B Anderson, R Pantelic, K Goldie, and M Chami for expert technical assistance, S A Müller for extensive comments on the manuscript, M Kuhn for plasmid and strain contribution, K Namba for discussions and Martin Jacquot for support with the supercomputing infrastructure of University of Basel. - TGT thanks Ms. J. Sridevi, CSIR-Central Leather Research Institute, Chennai for EPR measurements and CSIR for financial support. SCS and RSS thank IISER-TVM for computational facilities and financial support. The authors thank Abbey M. Philip for suggesting the possibility of simulating EPR using EasySpin. - This work was funded by Istanbul University Scientific Research Project 33202. We thank Mr David F Chapman for editing the manuscript. - The present study was produced from the master thesis of Deniz YILDIRIM, DVM (Afyon Kocatepe University, Graduate School of Medical Sciences, Afyonkarahisar, Turkey, 2011). We would like to extend our thanks to Dr. Kürşat KAV, a deceased faculty member at the Microbiology Department of Veterinary Medical School of Selçuk University for his valuable technical assistance and we cordially convey our deep sorrow for his untimely death and commemorate him with mercy. - The study was funded by a grant from the US Agency for International Development and technical oversight was provided by MEASURE Evaluation. Secondary data analysis was conducted with permission of all collaborating authors. - The authors are supported in part by NIMH 5R01MH054636. MBV is supported by a National Defense Science and Engineering Graduate Fellowship (NDSEG). - Supported by grants from the National Eye Institute EY03991, P30-EY012576, and Research to Prevent Blindness. We thank Dr Serena Fabbrini for providing Sap-3 isomer. - Financial /nonfinancial disclosures: The authors have reported to CHEST the following conflicts of interest: the University of Colorado, Denver has a contractual relationship with the pharmaceutical industry (Actelion, Gilead, Pfizer, United Therapeutics) for Dr Ivy to provide consultation. All monies are sent directly to the University of Colorado, Denver. Dr Stenmark has received pharmaceutical company grant monies from Pfizer. Drs Yeager and Takatsuki, Mss Nguyen and Colvin, and Mr Belchenko have reported that no potential conflicts of interest exist with any companies/organizations whose products or services may be discussed in this article. - This research was partially financed by the RECUPERA-2020 (an agreement between CSIC and Spanish MINECO, EU-FEDER funds) and AGL2014-52465-C4-4-R Projects (MINECO, EU-FEDER funds). Research of Torres-Sánchez and Peña were financed by FPI and Ramon y Cajal Programs, respectively (Spanish Ministry of Economy and Competitiveness). The authors thank Mr. Bernardo Crespo for allowing developing our field work in his farm. - We thank Patric Jern for critical reading of the manuscript and useful suggestions. We thank associate professors Ewa Lundgren and Anders Liss for their valuable help with collecting samples. The study was supported by funds at the Academic Hospital, Uppsala, Sweden. - Cláudia Maria Valete-Rosalino, Armando de Oliveira Schubach and Madson Pedro da Silva Leite were responsible for the design of the study. Madelon Novato Ribeiro, José Liporage Teixeira and Monique Reis da Fonseca collected data. All authors were responsible for conducting the study and managing data; Madelon Novato Ribeiro, Cláudia Maria Valete-Rosalino, Raquel de Vasconcellos Carvalhaes de Oliveira, Maria Inês Fernandes Pimentel and Armando de Oliveira Schubach analyzed and interpreted data, and prepared manuscript; all authors reviewed and approved manuscript. We are grateful to Jacline Novato Ribeiro, Margareth de Araújo Silva, Michele Aparecida Ferreira Moreira de Oliveira, Fátima Peres Lima Dantas and Felipe Maia Maquieira da Silva for their help with the patients before the interviews. We also thank Dr. Sandro Javier BedoyaPacheco for help with the database. This study was funded by PAPES-FIOCRUZ, National Council for Scientific and Technological Development (CNPq) and Carlos Chagas Filho Foundation for Research Support in the State of Rio de Janeiro (FAPERJ). Funding agencies had no interference in the design and conduct of the study; collection, management, analysis and interpretation of the data; and preparation, review, or approval of the manuscript. - We would like to thank Professor L. Ernster and Dr P. Gellerfors for their helpful discussion and suggestions, and Miss B. Persson for excellent technical assistance. The work was supported by a grant from the Swedish Cancer Society and by an EMBO short-term fellowship to F.G. - We are indebted to Professor G. F. Azzone for helpful discussions and for reading the manuscript. The expert technical assistance of Mr Luciano - The author would like to thank Prof. F. Klinkhamer and Prof. E. M. C. Abreu for useful discussions. The author would also like to thank Prof. U.Tirnakli for sending reference [22] . - The authors are grateful for financial support from the Henan Administration of Science and Technology (grant No. 0111030700). Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: BV2111). - The author is grateful to Brian Brush for his helpful comments and suggestions and acknowledges the financial support from the College of Business Administration Miles Research Grant at Marquette University. - The authors acknowledge the support from the Swiss National Science Foundation (projects 137630 to U.S. and 160055 to H.B.). Special thanks go to the technical and scientific members of the Geneva and Zurich research groups who helped at all stages of this study. H.B. thanks Peter Hochuli (University of Zurich), Jean Guex and Torsten Vennemann (both University of Lausanne), and Helmut Weissert and Stefano Bernasconi (both ETH Zurich) for long term and highly stimulating scientific discussions. - The author would like to thank Prof. Dr. Ronald H. W. Hoppe and Prof. Dr. H.-J. Bungartz for the kind invitation to deliver a plenary lecture at the Annual Meeting of GAMM at Augsburg in March of 2002. The content of paper is based on that lecture. The author would also like to thank Ryuta Suzuki for discussions leading to a better presentation of the material in this paper. - The last author would like to thank George Lowther for the idea of non-linear bounds, Michael Greinecker for his hints on dealing with kernels, and other users of MathStackexchange and MathOverflow for their valuable comments regarding measure theory and coupling. - We thank Pr André Dufour for his help with statistical analyses. - We want to particularly acknowledge the patients enrolled in this study for their participation and the Basque Biobank for Research-OEHUN for its collaboration providing the human samples and the clinical information used in this project with appropriate ethics approval. Our gratefulness to Dr. Juan Burgos for the selection of the human samples and Dr. Felix Royo for helping with statistical analysis. - Acknowledgements. We thank E. Brockmann and two anonymous reviewers for their helpful reviews. This work was supported by the Centre National de la Recherche Scientifique (CNRS-INSU), - [56] Acknowledgments. We are grateful for the advice of Deborah - The authors would like to gratefully acknowledge the contribution of E.L. Aronson - We thank Felix Kahlhoefer, Matthew McCullough, Ian Shoemaker, John March-Russell and Stephen West for discussions. MD and CM also wish to thank Michael Spannowsky for 'stimulating' discussions. We thank Gary Steigman for pointing out an error in eq. (10) in an early version of this work. - This paper is a product of the UK Natural Environment Research Council's Valuing Nature Network with additional support from the Economic and Social Research Council and UK Department for International Development. We thank all participants in the VNN project workshops for their inputs. - We wish to thank Dr. Haruhiko MORI (17) - This work was supported by NIH grant HL 69723 (S.M.S). - We thank Yoshiko Miyake, Yoko Shiozawa, Seiichi Kotoda, Yoshiharu Tsuru, Toshihiro Nagai, Koji Shimoda, and Toshio Terashima for excellent technical assistance. We are also grateful to Kazuto Yamazaki, Keiko Fukada, and Takeshi Suzuki for their comments on the manuscript. This study was supported in part by research grants from the Ministry of Education, Science and Culture, Japan, and by the Program for Promotion of Fundamental Studies in Health Science of the National Institute of Biomedical Innovation (to K. Fukuda). - We are grateful to the villagers of Dielmo for their participation and continued collaboration in this project. We thank the administrative authority of Institut Pasteur of Dakar for their continuous support. We particularly thank the field workers for their sustained contribution to the project and in generating and maintaining the malaria databases. We thank the reviewers for their comments that have greatly improved the manuscript. - We would like to thank all those colleagues who have recently collaborated with us in the realization of the µSR experiments in the IBS. In particular: Alex Amato, Pietro Bonfà, Lucia Bossoni, Sean Giblin, Rustem Khasanov, Gianrico Lamura, Hubertus Luetkens, Marcello Mazzani and Toni Shiroka. Pietro Carretta and Samuele Sanna also acknowledge the financial support from Fondazione Cariplo (research grant no. 2011-0266) for the research activity on IBS. Giacomo Prando acknowledges support from the Leibniz-Deutscher Akademischer Austauschdienst (DAAD) Post-Doc Fellowship Program - This work was supported by the Deutsche Forschungsgemeinschaft. We are indebted to Professor Dr A. Trebst for many helpful discussions. - Dr Sophie Rushton-Smith provided editorial assistance in the preparation of this manuscript, which was funded by the Association Naturalia et Biologia. Ph.Gabriel Steg has the following disclosures: - The authors thank the School of Biological Sciences and Department of Biochemistry, University of Nairobi (UoN) for providing research facilities for use in this study. - The author is grateful to Dr. Ibrahim ElAgib of King Saud University, College of Sciences, Physics & Astronomy Department, for valuable discussions. - This work was supported by NIH/NCI grant # CA125456 (SBE), and a grant from the Israel-USA Bi-national Science Foundation # 2005331 (SBE). - This work was conducted in the framework of the EU-funded BIOMAHE Marie CurieToK Project (MTKD-CT-2004-509232) and was partially supported by the Italian Ministry of University and Research (MUR). - This work is a joint work between ISAE/DMIA, ON-ERA/DTIM and UC Berkeley/EECS. G. Lasnier has been funded by the RTRA-FCS STAE Foundation. - Acknowledgments. Thanks to Will Stefanov (Department of Geology) and Jim Clark (Department of Chemistry) for valuable assistance in obtaining optical analyses and electron microprobe measurements. Thanks also to Bob Leighty and Kim Feely for sharing personal - Dipartimento di Scienze Neurologiche, Università di Bologna, Bologna, Italy. - This work was supported by the National Science Foundation grant DMS-1517085. - This study was supported by a Grant from the Korean Healthcare Technology R & D Project, Ministry of Health and Welfare, Republic of Korea (no. HI10C1740). - The editors would like to acknowledge both the significant contribution made by Pamela Walt], whose hard work, organisation and language skills made the original manuscript for this book possible, and the expert and patient assistance of Helen Green with the production of drafts of this text. Acknowledgements xi - We are grateful to Editor Juan Pedro Rodríguez-López and to two anonymous reviewers for their constructive recommendations on how to improve this manuscript. MAM is grateful to audi Aramco for their sponsorship of this research programme. Areva, BHPBilliton, ConocoPhillips, Nexen, Saudi Aramco, Shell, Tullow Oil and Woodside are thanked for their sponsorship of the wider FRG-ERG research programme at the University of Leeds, of which this study forms a part. - The authors would like to gratefully acknowledge Dr Robert Greef for valuable suggestions with the optical set up and characterisation of the samples. Thanks to the financial support from the Faculty of Engineering and the Environment at the University of Southampton and the Engineering and Physical Sciences research council (EPSRC). - The author wish to thank specialis ALFatlawy whom diagnose the study cases and Baha H ALAmiedi ,Ph.D for the help extended by him college of dentistry, university of Babyl governerate. - This work was supported by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, National Institutes of Health. We thank Pr. Mamadou Dembele, Dr Mohamed Keita, Dr Mamadou Traore, PPD study monitors, NIAID DSMB, Etsegenet Meshesha, Dick Sakai, Drissa Sow, and the volunteers in the villages for their support. We would also like to acknowledge Hong Zhou, Sam Moretz, Ababacar Diouf and Greg Tullo for the GIA work and the PATH/Malaria Vaccine Initiative for their support of the GIA Reference Center. - We thank Dr Hideki Takahashi in Michigan State University for providing sultr1;1 sultr1;2 double mutant, and Professor Pradipsinh Rathod in University of Washington for E. coli GS245(DE3)pLysS strain. We thank Phillip SanMiguel and the Purdue Agricultural Genomics Center for the short read sequencing and analysis. We thank Elena Yakubova and Brett Lahner for ICP-MS analysis, Dr Andrea Raab for use of the HPLC facility, and the Microscopy and Histology Core Facility at the University of Aberdeen for using the confocal laser-scanning microscopy. - We acknowledge funding from the National Institutes of Health (R01GM118675 and R21EB021651) and the National Science Foundation (CHE-1351933). - The present research was partly supported by National Natural Science Foundation of China (No. 31672071), and Special Funds of Central Colleges Basic Scientific Research Operating Expenses (No. 2452015096). - We wish to thank all volunteers for their participation in the study. - We thank L Chamberlain and B Martin for sharing their Acyl-RAC protocol, Y and M Fukata for the DHHC plasmids and the PEGylation protocol, P Bastiaens for the APT plasmids and Sylvia Ho for generating the shRNA ZDHHC6 construct. The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007(FP/ -2013)/ERC Grant Agreement n. 340260 -PalmERa'. This work was also supported by grants from the Swiss National Science Foundation (to GvdG and to VH), the Swiss National Centre of Competence in Research (NCCR) Chemical Biology (to GvdG) and the Swiss SystemsX.ch initiative evaluated by the Swiss National Science Foundation (LipidX) (to GvdG and to VH). TD is a recipient of an iPhD fellowship from the Swiss SystemsX.ch initiative. - The research leading to these results has in part been funded by the ESA project GHG-CCI, the DLR grant SADOS, the EU project ACCENT-Plus, and the University and the State of Bremen. Russell R. Dickerson was supported by NASA/AQAST. We thank ESA and DLR for providing the SCIAMACHY Level 1 data and the SCIA-MACHY calibration team (DLR, SRON, University of Bremen, ESA, and others) for continuously improving the quality of the spectra. We acknowledge the use of data from the U.S. Energy Information Administration and the U.S. Environmental Protection Agency. We also thank the European Centre for Medium-Range Weather Forecasts (ECMWF) for providing the meteorological reanalysis data. - The authors would like to acknowledge the Irish Cattle Breeding Federation (ICBF) for access to estimates of sire merit. - Acknowledgments: We thank Steve Berman and Edwin Asturias for their guidance. - We thank Bernhard Geiger for providing liver MR images, as well as Ali Khamene and Frank Sauer for their support. This work is funded by Siemens Corporate Research and Institute for Mathematics and its Applications (IMA) at the University of Minnesota. - This research was conducted by the financial grant provided by JSS University, Mysore. Authors sincerely acknowledge their support and encouragement. - Acknowledgements. Work of the third author is partially supported by START project Y237 of the Austrian Science Fund and by the MNZZS of Serbia 144016. - We cordially thank Dr. Gerd Neugebauer for his help in creating a subset of a bibtex data base using BibTool, as well as Dr. Ricardo A. Chávez Montes, Prof. Magnus Palmblad and Martin Fenner for comments on the manuscript. Warm thanks also go to Anubhav Kumar and Jennifer König for proofreading. - This work was supported by the Office of Energy Efficiency and Renewable Energy, US Department of Energy under grant DE-FG36-08G018006. One of us (GMK) acknowledges support under an NDSEG graduate fellowship. We also acknowledge use of facilities supported by the Center for Science and Engineering of Materials, an NSF MRSEC. - I would like to thank Mr. Emile A. Minoli for contributions in Chapters 2 and 3. The cover page shows Daniel Minoli (center front) with a slide rule next to an AM radio the student trio built based on discrete electronic components. Students Melvin Lee (left front) and Steven Lightburn (right front) part of the student trio are with Mr. Tepper (middle front), electronics teacher in a Technical Electronics Laboratory in Hight School in Brooklyn, NY in the fall of 1970. Two second-row students are unidentified. As this textbook shows, electronics and electronics density has come a long way in the past 35 years, and will continue to do so under the thrust of nanotechnology. - All sequences were performed at the Molecular Biology Unit, Institut Pasteur de Montevideo. The authors thank Natalia Rego and Horacio Botti for helpful discussion and suggestions, Hugo Naya for sharing the bioinformatic facilities of UBI Institut Pasteur Montevideo and Marissa Vignali and Peter Myler (Seattle Biomedical Research Institute; Seattle, WA USA) for helpful suggestions in library construction and sequencing. - The authors are grateful to Thomas O. Mason for numerous stimulating discussions. Initial simulations for amorphous Zn-Sn-In-O under strain were performed by Rabi Khanal. The work was performed under the collaborative MRSEC program at Northwestern University and supported by the National Science Foundation (NSF) grant DMR-1121262. Computational resources are provided by the NSF-supported XSEDE program and by Department of Energy NERSC facilities. - Acknowledgements. This work was developed under the MINECO predoctoral grants BES-2014-067894 and EEBB-I-16-11044, cofunded by the European Social Fund. The work at University of Barcelona was partly supported by the Spanish MINECO under the project AYA2013-42614-P and AYA2016-77939-P with partial support by the European Regional Development Fund (ERDF/FEDER). RGH acknowledges the financial support of the University of Alcalá under project CCG2015/EXP-055 and the Spanish MINECO under project ESP2015-68266-R. Funding of this work was also partially provided by the Spanish MINECO under the project MDM-2014-0369 of ICCUB (Unidad de Excelencia "Marıá de Maeztu"). The editor thanks R. Du Toit Strauss and an anonymous referee for their assistance in evaluating this paper. - Acknowledgments All images are by Francesco Gherardini unless otherwise noted. - Statistical analysis. A t-test (two tailed) was performed for statistical analysis if not otherwise specified. An F-test was used to determine equal or unequal variance in the t-test. *, ** and *** indicate P valueo0.05,o0.01 ando0.001, respectively. Data availability. Solid-state NMR data is available at: https://www.repository. cam.ac.uk/handle/1810/254646. The authors declare that all other relevant data supporting the findings of this study are available within the article and its Supplementary Information Files or on request from the corresponding authors. - We would like to thank members of the Hutter lab for critically reading the manuscript. - We thank J.-Y. Zimmer for his helpful comments and suggestions. Thanks also to the Wallonia-Brussels International for the Ph.D. scholarship (S. Boukraa). - The Biodiversity Data Enrichment Hackathon was supported by the EU-funded proiBiosphere project (Coordination and policy development in preparation for a European Open Biodiversity Knowledge Management System, addressing Acquisition, Curation, Synthesis, Interoperability and Dissemination, grant No 312848) and Naturalis Biodiversity Center. - This work was carried out while BC was at the California Institute of Technology, and partially when both BC and KB were visiting the Isaac Newton Institute, Cambridge, UK. It is a pleasure to thank Prof. L. C. Evans for useful discussions. We are also grateful for the support of the U.S. National Science Foundation (CMS 9457573) and the Air-Force Office of Scientific Research through a MURI grant (F49602-98-1-0433). - The program was partially supported by NASA Lewis Research Center (Grant No. NAG 3-782) and the Office of Naval Research (Contract No. NO0014-85-K-0182 P005). - We thank Serena Dudek, Kelly Carstens, and Deborah Park for critical reading of the manuscript. - We thank Dr. Nathan L. Vanderford for critical reading and editing of this manuscript. This work was supported by grants from NIH (RO1CA125454), Susan G Komen Foundation (KG081310), Mary Kay Ash Foundation (to B.P. Zhou) and pre-doctoral fellowship (BC101068) from DoD Breast Cancer Research Program (to Y. Lin). - We thank the Core Facility and Laboratory Animal Unit of the LKS Faculty of Medicine, the University of Hong Kong for technical support. We are thankful to Dr Terence Kin-Wah Lee, Dr. Stephanie Kwai-Yee Ma and Dr Judy Wai-Ping Yam for their helpful discussion on the study and comments on the manuscript. - The S.E.R.C and A.F.R.C. are gratefully acknowledged for financial support. Thanks are due to Dr. C. Roessner, Texas A & M University, TX, U.S.A., for providing the E coli hemB expression system, to Mr D. Barton and Mr. P. Skelton (Cambridge) for electro-spray mass-spectrometry determinations, and to Dr. J. Cheung, Queen Mary and Wesffield College, London, for deprotecting the 3-oxo-1-hexylamine. - We would like to acknowledge Paula Weston and Melinda Golde for their great work in processing human fetal prostate tissue sections. Also, we would like to recognize Dr. Simon Hayward for his support and guidance regarding the pathology of the human fetal tissue. - The authors acknowledge the facilities of the Department of Biotechnology, Government of India, New Delhi (DBT) under M.Sc. Biotechnology program. Facilities of DBT's Bioinformatics Sub Center are also gratefully acknowledged. - The present study was supported by the Health Bureau of Zhejiang Province (grant no. 2013KYA108) and Health and Family Planning Commission of Zhejiang Province (grant nos. 2013KYA108 and 2014KYA260). - This research was funded by the Dennis Cooper Hematology Young Investigator Award and grant P30 CA016359 from the National Cancer Institute. - This work has been carried out in the scope of INCO-DC project ERBIC18CT97016 'Development of a simple technology in drinking water treatment for nitrate and pesticide removal', financed by the European Commission. Thanks to Fred Rainey for supplying the sequence and manuscript for T. hydrothermalis in advance of their publication. - We thank Michel Desjardins for making the Phosphorimager system available to us. We also thank Sonia Broccoli for critical reading of the manuscript. This work was supported by Grants FNR 12667 from the CIHR (to M.D.) and GM54226 from NIGMS (to Y.-C.T.-D). M.D. is a chercheur-boursier senior from the FRSQ. C.H. holds a studenship award from the FRSQ. - The authors gratefully acknowledge the financial support by the Research Program of Universities of Inner Mongolia Autonomous Region (NJ10245). - The authors wish to thank Graham Mc Geoch, Chief Clinical Editor, Health Pathways, Canterbury District Health Board. - Acknowledgement. I wish to thank Professor Janusz Brzdȩk for paying my attention to the problem and for his most valuable suggestions during the preparation of this paper. - The authors would like to thank the Staglin IMHRO Center for Cognitive Neuroscience for their expert technical assistance. - ACKNOWLEDGEMENTS. We are grateful to Y. Asari, C. Tanaka, M. Noda, R. Haraguchi, M. Matsuhashi, K. Akashi, S. Satoh, N. Machida, A. Yoshioka, and I. Izumi, for their technical assistance. We thank Y. Hashimoto, H. Yanagawa, and Y. Konno for their critical comments and C. L. Bridgman for her critical reading of the manuscript. - We thank Yunde Zhao and Youfa Cheng for sharing seed and reagents prior to publication. We thank Judy Callis and John Labavitch for helpful discussions on this project. Some seed stocks were obtained from the ABRC. - Funding: This research was funded by the Agency for Healthcare Research and Quality (grant number R01HS018372). - This work is partially financed by the ERDF European Regional Development Fund through the COMPETE Programme and by National Funds through the FCT Fundação para a Ciência e a Tecnologia within project SELF-PVP (FCOMP-01-0124-FEDER-013070) - Acknowledgements. We thank the Electron Microscopy Unit, Universidade da Coruna, for the fachties. This study was partially funded by the Servicio de Medio Arnbiente Natural, - We thank Y. Fujita and Barry Gumbiner for constructs and Marc Mumby for PP2Ac antibody. This research was supported in part by NIH grants GM56362 and CA142823. - The author wish to thank E. Brod, R. Pedersen, A.F. Øgaard and T.K. Haraldsen for advice on experimental setup and obtaining waste materials. The author also wishes to thank two anonymous reviewers and the editor for useful advice and editing of the manuscript. This study was funded by CORE Organic II "IMproved Phosphorus Resource efficiency in Organic agriculture Via recycling and Enhanced biological mobilisation" (IMPROVE-P), which aims to design improved P recycling systems for organic farming. - This work was supported in part by CONACYT project 32415-E and DGAPA, UNAM project IN-110200. - The authors are grateful to the National Institutes for Health (GM094919 (EUREKA)) and the Science Foundation of Ireland (08/IN.1/B2070) for support. - The authors are grateful to Dr. Ian Macara for providing the wildtype and GAP-deficient p190RhoGAP expression vectors. We also wish to thank Christy Cloonan for excellent technical assistance, Dr. Channing Der for the Lsc construct, Geneva Arthur for preparation of the manuscript, and the members of the Burridge laboratory and Dr. Leslie Petch for thoughtful discussions. This work was supported by National Institutes of Health grant GM29860. - We acknowledge use of beamline BL17U1 at the Shanghai Synchrotron Radiation Facility (China). - This paper was supported by the research fund from Samsung Medison, Inc. - The research was carried out due to the grant of Russian Science Foundation (project #17-17-01143). - The first author's research is partially supported by grants from National Advanced Technology Research. - We are grateful to P.A. Baikov, A.G. Grozin, and O.V. Tarasov for help with checking the analytical results for the contribution (i). This research has been supported by the Russian Foundation for Basic Research, project 96-01-00654, and by the grant BMBF 057KA92P. - The authors acknowledge James Blanchard, Andrea Hunter and Rachel Spitzer for their participation; Kerri Wazny for providing technical support; and the Canadian Partnership for Women and Children's Health (CanWaCH) for their support in this collaborative effort. CanWaCH is a collaboration of more than 80 Canadian organizations that are working to improve maternal, newborn, child and adolescent health in low-and middle-income countries. - We are very grateful to Pete Alcock and John Mohan for their leadership, support and encouragement, and to Jane Parry and Rebecca Taylor for earlier collaborations on the topic of internships. We would also like to thank the anonymous reviewers for their helpful comments. - Acknowledgment: We thank Cyrus Shahpar, MPH, and Sophia Sterling, MPH, for data assistance. - Acknowledgments: This project/research has been made possible with the support of the Dutch Province of Limburg. - Acknowledgements. This study was supported by the "Scientific Exchange Programme between the New Member States of the EU and Switzerland" (Sciex-NMS, project 10.140) and by the Swiss National Science Foundation (grant 31003A_140766). The study was also funded by the National Science Centre in Kraków, Poland (grant nos. 2013/11/B/ST10/00276 and 2014/12/T/ST10/00675). The authors thank the crew of R/V Oceania for their assistance during the fieldwork. Mateusz Ostrowski is thanked for helping with the granulometric analysis. - We thank Yue Zhao, MSc, Concordia University, Montreal, Quebec, and Linda Kwakkenbos, PhD, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, for assistance with translation. They were not compensated for their contributions. No funding body had any involvement in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript. - This work was supported by the National Institute of Neurological Disorders and Stroke intramural program (MNB and NAS), the Columbia University Center for Motor Neuron Biology and Disease (NAS) and by National Institutes of Health Grant NS047357 (CAS and FJA). We thank Chris Henderson, Tom Jessell, George Mentis and Michael O'Donovan for their support and critical comments on this manuscript. We also thank Ms Jackie Sisco with her help preparing semithin histological sections of muscle spindles. - Professors Dr. Mofazzal Hossain and Dr. Mizanur Rahman, Department of Horticulture (BSMRAU), are thanked for allowing the junior author to set yellow pan traps for collecting parasitic Hymenoptera in their experimental plots. We thank J. Read (CNC) for preparing the excellent images and compiling the plates. - This work was funded by a grant from the US National Institutes of Health to DH (GM64798). the SSRL Structural Molecular Biology Program is supported by the Department of Energy, Office of Biological and Environmental Research, and by the National Institutes of Health, National Center for Research Resources, Biomedical Technology Program, and the National Institute of General Medical Sciences. We thank SSRL scientist Clyde Smith for excellent support. AP was funded in part by a National Science Foundation Graduate Research Fellowship. SR was funded by the Max-Planck Society Germany. We thank James Fraser (UCSF) and Artem Lyubimov (Stanford) for guidance and review on refinements of diffraction data and members of the Herschlag laboratory for discussions and comments on the manuscript. We thank Celerino Abad-Zapatero and Vincent Stoll for information about their published D101S AP structure. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - This work is supported by Philips Healthcare/Radiological Society of North America Research Seed Grant #RSD1104, the National Institute of Health (Director's New Innovator Award 1DP2OD007246-01 and 1R21CA152627), and Morris Animal Foundation (D09CA-083). Q.Y. was funded at UIUC from the NIH National Cancer Institute Alliance for Nanotechnology in Cancer "Midwest Cancer Nanotechnology Training Center" Grant R25 CA154015A. - This work was supported by the Medical Research Council UK (MRC; awards MC_UU_12020/5 and MC_UU_12024/2 to PJM, and award MC_UU_12024/1 to AS), a Marie Curie European Re-integration Grant (SNAP-PD) awarded by the European Union, and the Wellcome Trust (Investigator Award 101821 to PJM). FNG and EK were supported by the MRC and University of Oxford Clarendon Fund Scholarships. FV was supported by an MRC studentship. RS was in receipt of a Wellcome Trust Clinical Fellowship (WT_RS_109030/Z/15/Z). We thank T Harkany and R Faram for early insights on secretagogin, and G Hazell, B Micklem, L Norman, K Whitworth, J Janson, L Conyers and C Johnson for technical support. We also thank G. Silberberg and K. Meletis for their expert insights. - The authors would like to thank the Consumption Markets & Culture editor Jonathan Schroeder, and the three anonymous reviewers for their valuable suggestions and comments. The authors also gratefully acknowledge the candor and generosity of their informants. - We thank R. A. J. Warren for his valuable suggestions in preparing this manuscript, Linda Sandercock for assistance in preparing Strep. lividans genomic DNA, and Bradley McLean for helpful insights and discussion. This research was supported by the Protein Engineering Network of Centres of Excellence, the Natural Sciences and Research Council of Canada, and CBD Technologies Inc. - This work was supported by the Universiti Kebangsaan Malaysia, under grants Dana Lonjakan Penerbitan (UKM-DLP-2014). - Acknowledgments: The authors thank Assia Benabdallah for discussions on the subject of the present article. - We thank Jan Johansson and Kristiina Nygren for their assistance and help during field work and implementation of the experiment. We are grateful to Eddie von Wachenfeldt and Therese Carlsson for help with the collection of the water samples. We greatly appreciate help from Jan Bengtsson, Kalle Mälson, and Allan Rohde with the study site selection. We thank Helmut Hillebrand, Paul del Giorgio, Ingvar Sundh, and several members of the Microbial Ecology group at our department for fruitful discussions and constructive comments on earlier drafts of the manuscript. Constructive comments by an anonymous reviewer also greatly improved the manuscript. - We wish to express our gratitude to the Research Council of the University of Mazandaran for partial financial support of this work. - We would like to thank A2B2C, ISCB-SC and ISCB for their continuous support, at different levels, to all our initiatives. We would also like to recognize Universidad Nacional de San Martín for sharing the infrastructure needed to host the event. Finally we thank all those students that offered their time for reviewing the abstracts and all those that attended the 2SAJIB. - The fruitful collaboration with the ''What Works for Women and Girls'' project greatly improved this study and we would like to extend our gratitude to Melanie Croce-Galis and Karen Hardee for their invaluable contributions and support. Our sincere thanks to all members of the UNAIDS expert reference group for their detailed and constructive guidance throughout the project, namely Avni Amin, Michael Bartos, Louise Binder, Lori Bollinger, Briana Buehler, Lynn Collins, Nazneen Damji, Susana Fried, Berthilde Gahongayire, Claudia Garcia Moreno, Kreena Govender, Nyaradzai Gumbonzvanda, Musimbi Kanyoro, Shannon Kowalski, Renee Mckenzie, Daniella Ligiero, Rolake Odetoyinbo, Amissa Briana Bongo Ondimba, Anna Seymour, Alice Welbourn and Anandi Yuvaraj. We are also grateful to the authors of selected publications for sharing documents we were not able to access, including author manuscripts that were still under preparation or in press. - This work was funded by Instituto de Salud Carlos III ISCIII FIS/FEDER Grants PI11/02070 and PI14/00900 (to AG) and National Institutes of Health, NIH Awards R03 AR049420 (to SWS) and R01 AR052889 (to JTE). - This study was funded by Natural Science Foundation of China 81360310, 31106237, 31260276, 81271330, 31471187, 31171215 and w8110305. - The investigators are grateful to all collaborating institutions for their support. Our thanks are due to Drs. Patrick Breysse, Peter Lees and Timothy Buckley of the Johns Hopkins University School of Hygiene and Public Health for many valuable suggestions and for loaning several pumps for the monitoring activity; to the Institute for Health Systems Hyderabad, for their role in administering the household level questionnaire and to the World Bank (ESMAP) unit, who funded the study. Our special thanks are also due to Kseniya Lvovsky, Sameer Akbar and Priti Kumar of the World Bank for their technical inputs while executing the project. Finally, we are extremely grateful to the members of the households for their graciousness in allowing the use of their premises for the monitoring activities. - This work was supported in part by the Deutsche Forschungsgemeinschaft (grants SFB630 to C.K. and C.A.S. and Forschungszentrum FZ82 to C.K.) and by the National Institutes of Health (grants GM102864, AI044639 and AI070383 to P.J.T.). A.C. was supported by the Chemical Biology Training Program (NIH grant T32GM092714) and by the Medical Scientist Training Program (NIH grant T32GM008444). J.S. was supported by a grant of the German Excellence Initiative to the Graduate School of Life Sciences, University of Wuerzburg. We thank the staff at the beamline 14.1 (BESSY II) operated by the Helmholtz-Zentrum Berlin and at the ESRF beamlines ID 14-1 and ID 29 for technical support. Funding Sources: NIH grants GM102864, AI044639, AI070383, T32GM092714 and T32GM008444 Deutsche Forschungsgemeinschaft grants SFB630 and Forschungszentrum FZ82 - Acknowledgements. We thank two anonymous reviewers for thoughtful comments that improved the paper, Sarah Brosnan for encouragement and patience, and Joe Halpern, Oren Kolodny and Shimon Edelman for productive discussions. - We thank the Gentner Lab at the University of California, San Diego, for their logistical and technical support, and Molly Dickens, Scott MacDougall-Shackleton, and Luke Remage-Healey for their thoughtful discussion of this project. We also thank our four anonymous reviewers for their comments and suggestions. - The data of this study have been excerpted from the PhD thesis of the author. The authors thank Assoc Prof Abbas Yousefi Rad, Assoc Prof Ayşe Esra Karakoç and Sefer Erman Yılmaz, MD for collecting clinical specimens, Onur Candan, PhD, for comments and suggestions and Çağla Kılıç MSc, for her contribution to this study. This work was financed by Hacettepe University Scientific Research Project grant 014D01601002 and the Scientific and Technological Research Council of Turkey (TUBITAK) with PhD Scholarship (2211/C). - We thank Y. Takasu and S. Igarashi for experimental assistance. This work was supported in part by Grant for Basic Scientific Research Projects from the Sumitomo Foundation and The Kurata Memorial Hitachi Science and Technology Foundation. We thank Kao Corporation for kindly providing the LDAO. - I am grateful to the President and Council of the Association for honouring me in their invitation to deliver the John Snow Lecture for 2001, and to the Editor of Anaesthesia for arranging to publish it. - Acknowledgement. We are thankful to the anonymous AE and the two referees for their suggestions, which helped us to improve the presentation of the paper. - We would like to thank the four reviewers for their constructive and critical comments that helped to improve the quality and presentation of our work. - We thank Irma Thesleff for support and discussions, and Merja Makinen, Riikka Santalahti, Maria Sanz-Navarro, Raija Savolainen, and Nina Tiusanen for technical assistance. This work was financially supported by Swiss National Science Foundation Sinergia grant CRSI33_125459, the Academy of Finland, Sigrid Jus elius Foundation, Jane and Aatos Erkko Foundation, the Ella and Georg Ehrnrooth Foundation, and RO1 DC013072 and RO3 DC007349. - The authors declare no conflict of interest. - Authors thank all the participants for agreeing to take part in the study, and Marion Bonnard, Camélia Boukhris, Florence Brisson, Elsa Brune, Lucien Coudrin, Anne-Sophie Courtois, Delphine De Guibert, Sébastien Douabin, Marc Fedele, Gwenaëlle Felard, Fanny Gohars, Samantha Guimaron, Morgane Hamouric, Aurore Lamberet, Laurence Lebas, Raphaël Leroux, Sébastien Le Texier, Andre Madrid, Edmond Oriol, Louise Perrier, Ouriel Rosenblum, Hélène Spriet, Philippe Taillet, Xavier Taillet for assessing the videos. - This research received no specific grant from any funding agency, commercial or not-for-profit sectors. M. R.-C. was in charge of the interpretation of the articles reviewed and manuscript design and editing. E. S.-C. and C. M.-P. had responsibility for research information and manuscript writing. All authors contributed to discuss and had input writing the article. All authors contributed equally to the literature search, analysis of the data published, manuscript writing and revisions of the article. All authors approved the final version of the manuscript. The authors declare that there are no conflicts of interest. - WH would like to acknowledge the National Natural Science Foundation of China (No. 21171088) for financial aid. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: RZ2684). - This work was supported by the Institute for Basic Science (IBS) [IBS-R004-A2-2017-a00]. - We would like to thank Cornelius Peter for his help with molecular lab work and Joumin Rangkasan who assisted with fieldwork. This project was carried out by CCP and PSH as part of their undergraduate honours degree dissertation. We thank Rudiger Bieler, Siong Kiat Tan and an anonymous reviewer for their constructive comments. - We are grateful to the staff of the Department of Cardiovascular Medicine at Juntendo University, Department of Cardiology at Tokyo Women's Medical University and Department of Cardiology at Teikyo University School of Medicine. - The authors thank John Harris at Public Health England for providing data on reported outbreaks of infectious intestinal disease - The authors thank Brita G Bruun for critically reading the manuscript - This study was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), and Conselho Nacional de Desenvolvimento Cientíco e Tecnologico (CNPq). - We thank: the originators of all three input datasets as well as the supporters of the remote sensing systems that are used to build such datasets; the students of INTR 204 at William and Mary for testing these methods; Dan Freiss of the mangrove lab in Singapore and the Moore Foundation for reviewing drafts of this paper; and the referees and editors at GEB for help with editing the paper. - We would like to thank Kuan Liu, Sales Engineer from Majorbio, Shanghai, for the technology guidance. - The authors thank Assistant Professor Efthimia Petinaki (Department of Microbiology, School of Medicine, University of Thessaly, Greece) for bla vim Kp isolate detection in 2005. The authors are grateful to Professor Alkiviadis Vatopoulos, Dr Panagiota Giakkoupi and Dr Kyriaki Tryfinopoulou (Department of Microbiology, National School of Public Health, Athens, Greece; Central Public Health Laboratory, Vari, Greece) for their constant assistance in epidemiological surveillance of CR-Kp over the last decade. The study was supported by funding from the Department of Microbiology, School of Medicine, University of Patras, Greece. The authors have no conflicts of interest to declare. The study was approved by the Ethical Committee of University Hospital of Patras (no. 18208/18-9-2013). - This research has been supported by the President's Emergency Plan for AIDS Relief (PEP-FAR) through the Centers for Disease Control and Prevention. This information is distributed solely for the purpose of predissemination peer review under applicable information quality guidelines. It has not been formally disseminated by the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Atlanta, Georgia, USA. Instituto Nacional de Saúde (INS), Maputo Central Hospital, Ministry of Health Fundação Ariel Glaser contra o SIDA Pediátrico (Ariel). The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US Centers for Disease Control and Prevention. Use of trade names is for identification purposes only and does not constitute endorsement by the U.S. Centers for Disease Control. - The collaborations from Qiming Jin, Jim Sugai, Hector Rios, Reinhard Gruber, Yang-jo Seol, Gaia Pellegrini, and Darnell Kaigler are greatly appreciated. Dr Giannobile's work was supported in part by NIH/NIDCR DE 13397. - Acknowledgment. The authors are most grateful to Professor K. Ogasawara of the Pharmaceutical Institute, Tohoku University, for his useful advice during this study. - We thank the National Genotyping Center at Academia Sinica, Taipei, Taiwan, for their genotyping service. - The EPIC study was funded by "Europe Against Cancer" Programme of the European Commission (SANCO); Ligue contre le Cancer (France); Société 3M (France); Mutuelle Générale de l'Education Nationale - We thank Prof. Rongxiang Fang's group from the Institute of Microbiology, Chinese Academy of Sciences for providing the cDNA library of small brown planthopper for yeast two-hybrid screening. We also thank Prof. Gerald Reeck from Kansas State University for comments and language suggestions. This work was supported by grants from the Strategic Priority - We are grateful to R. Rosenfeld for useful discussions. This research was supported in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (AAN), Coordenadoria de Aperfeiçoamento de Pessoal de Ensino Superior (CAPES) (AM), Fundação de Amparoà Pesquisa do Estado de São Paulo (FAPESP) (AAN), and by Programa de Apoio a Núcleos de Excelência (PRONEX). - We are grateful to M Peter, G Schlenstedt, J Woolford, K Karbstein, and M Seedorf for generously sharing strains and antibodies, and N Schäuble, M Hondele and K Weis for help with ATPase assays. We thank all members of the Panse laboratory, in particular J Thorner UC Berkeley, for enthusiastic discussions, J Petkowski for structure-guided analysis, M Altvater for microscopy, and the Institute of Medical Microbiology UZH for continued support. V G Panse is supported by grants from the Swiss National Science Foundation, NCCR in RNA and Disease, ETH Zurich, Novartis Foundation, Olga Mayenfisch Stiftung and a Starting Grant Award (EURIBIO260676) from the European Research Council. - The paper is based on the Basic Research Project of the Korea Institute of Geoscience and Mineral Resources (KIGAM) funded by the Ministry of Knowledge Economy of Korea. - The authors have obtained financial support from the Volkswagenstiftung (Germany) within the program "Nachwuchsgruppen an Universitäten". The simulations were performed at the Paderborn Center for Parallel Computing in Germany and on a workstation cluster at the Institut für Theoretische Physik, Universität Göttingen, Germany. We thank M. Jungsbluth for helpful remarks. - We thank Harry C. Dietz for providing CAGA 12 - This work has been carried out with the support of Rolls-Royce plc, DERA, MoD and DTI. The authors would also like to thank Professor T.V. Jones and Dr C.R.B. Day for their help and guidance, and Mr K. Walton and Mr T. Godfrey for their practical assistance. - I thank numerous colleagues and collaborators whose intellectual and technical contributions continue to be instrumental to this investigation. - We would like to thank all researchers and institutions which provided samples for this study (all are listed in Table S1 ). We thank to P. Matějů for help in laboratory. - The paper was supported by the research grant of Chungbuk National University in 2012. - This paper was written using data made available by the Cystic Fibrosis Trust as submitted to the Port CF database by all UK CF Centres between 2007-2012. - We thank Laura Brown, Sam Demas, Sharon Farb, Kevin Guthrie, Charles Henry, Lisa Hinchliffe, Ross Housewright, Anne Kenney, Robert Kieft, Marita LaMonica, William Mayer, and Jennifer Rutner for helpful suggestions in developing the questionnaire and/or framing our findings. Final responsibility remains ours alone. - We acknowledge the studies conducted by Yoshimura et al. (2014) , Elkon et al. (2015) and Waldhaus et al. (2015) for providing open access to mouse gene expression data. JAL-E has received funding from Meniere Society, UK and the Luxembourg National Research Fund (INTER/Mobility/17/11772209). - This work was financially supported in part by the Schweizerische Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) and by the Japan Society for the Promotion of Science (JSPS) through Grants-in-Aid for Scientific Research (Grant No. 16K06712). - The authors are thankful to the Vice Chancellor, OUAT, Bhubaneswar, Odisha, India, for providing the necessary facilities to carry out this work. - [53] Acknowledgments. Financial support for the data collection of this research was provided by the World Bank and the Water and Sanitation Program. We are grateful to Clarissa Brocklehurst for comments on the data collection, analysis, and interpretation and to Govind Subedi, Yogendra Gurung, Keshab Adhikari, Dhanendra Shakya, Laxman Kunwar, and Bal Krishna Mabuhang for help with the survey. Thanks are also due to Jon Strand, three anonymous reviewers, and the Associate Editor for their helpful comments and suggestions. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the World Bank or the Water and Sanitation Program. The authors alone remain responsible for any errors in the paper. - The authors thank the Ibn Sina Hospital physicians for their assistance in collecting and compiling the data for this study, and Gae O Decker-Garrad for editorial assistance and preparation of the manuscript. - The authors are very thankful to Mrs. Anjuman Ara Begum, Lecturer, Department of Pharmacy, Jahangirnagar University, Savar, for this expert planning, sincere direction, supervision, invaluable advices and continuous follow up from the very beginning of this work. - The authors wish to acknowledge the support of NASA under NRA-NAS2-37143 on "Research in Intelligent Systems." - This study was supported by the Al-Quds University and the Belgium government. The authors thank the Palestinian Central Bureau of Statistics for providing the sampling frame and the Greek State Scholarship Foundation for their support to the second author C. Jildeh in her PhD study. H. Al Sabbah is postdoctoral researcher funded by the Fulbright Scholarship, Tufts University, Boston, USA. - I would like to acknowledge the linguistic revision by Eugenia Lamont, Medical University of Graz. - We would like to thank the National Natural Science Foundation of China (21273081, 21673085) and Natural Funds of Guangdong Province (grant no. 2015A030311050) for providing the finance support for this project. - The authors thank the Principal of Amrita Sai Institute of Science and Technology, Paritala, Chanchikacharla and the head of the department of Civil Engineering, for their kind support during the experimental investigation. The authors express their profound thanks to Dr. Sasidhar, Professor, Amrita Sai Institute of Science and Technology for his critical reading and suggestions. - US and BT would like to acknowledge financial support by the German Research Council (DFG) within the CRC701. - The authors acknowledge the expertise of K. Molin and Professor Enevold Falsen (CCUG) for their technical and scientific assistance. - The authors wish to express their indebtedness to all laboratory staff who sacrificed their time and effort to comply with the special requirements, and spent significant time on performing these tests without complaint in order to achieve the highest possible quality in this trial. Furthermore, we would also like to acknowledge all center principal investigators and personnel who contributed their time and effort to this study. This work was supported by Boehringer Ingelheim Pharmaceuticals, Inc. (BIPI) and Pfizer Inc. Writing, editorial support, and formatting assistance was provided by Jane M. Gilbert, BSc, CMPP, of Envision Scientific Solutions, which was contracted, and compensated by BIPI and Pfizer Inc for these services. - To Dr Moacir Paranhos Silva (Institute of Heath Sciences, UFBA), for his technical assistance on splenic punctures. - We gratefully acknowledge financing by the International Fund for Agricultural Development, Rome, aid agencies of Switzerland (DCA), West Germany (GTZ), Austria, Canada (IDRC), Denmark, the Netherlands and Italy, as well as FAO, Rome, and thank S. KorangAmoakoh, J. M. A. Anga and K. Kouame for their help in the field and E. V. Doku for information. We thank our colleagues at IITA for reviewing the manuscript. - The author is grateful to the referee and Professor H. P. Dikshit for some helpful suggestions. - We thank members of the Schwab lab for valuable discussions; K. Cadwell (New York University School of Medicine) for Salmonella enterica Typhimurium; K. Manova, S. Fujisawa, and Y. Romin (Memorial Sloan Kettering Cancer Center Molecular Cytology Core Facility) for assistance with microscopy and image analysis; and B. Breart (Institut Pasteur, Paris, France) and J. Cyster (University of California, San Francisco) for critical reading of the manuscript. This work was funded by NIH R01 AI085166 to S.R.S.; NIH T32 AI100853 to V.F. and A.M.; and NIH R01 NIH DA019674 and NS084398 to J.C. - We thank F.P.D. Cotterill, T. van der Niet and J.W. Kadereit for comments on drafts of the paper; D. Franke for assistance with graphics; J. Fagúndez, A. Hitchcock, R. Turner, M. Muasya, C. Stirton, R. Clark, B. Bytebier, M. Pimentel, F. Ojeda, C. Merry, and many others for providing samples; and Cape Nature and South Africa National Parks for assistance with permits. The authors gratefully acknowledge the computing time granted on the supercomputer Mogon at Johannes Gutenberg University Mainz (https://hpc.uni-mainz.de/). - Acknowledgments We are grateful to Dr. Ivo Lieberam for providing us with the GFAP::CD14 cell line and for reading the manuscript, and to Dr. Kevin Eggan for the HB9::GFP cell lines. - We thank the participants for their time and personal information. - We are thankful to the Albertina Sisulu Executive Leadership Programme in Health, University of Pretoria for their contribution towards the publication of this paper. Also, we are most grateful for the African Doctoral Dissertation Research Fellowship Award (ADDRF Award 2015-2017 ADF 002) provided by the African Population and Health Research Centre in partnership with the International Development Research Centre that helped make the wider PhD study from which this paper was drawn possible. Our heartfelt thanks also goes to the Ministry of Health and the Health Services Board of the Republic of Zimbabwe, the Zimbabwe Association of Church Hospitals, Epworth Local Board, and the Epworth community in Zimbabwe. - The authors, not the supporting groups listed earlier, had complete responsibility for the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, and approval of the manuscript. - We thank Krishna Palaniappan, Ernest Szeto, Yuri Grechkin, Iain Anderson, and Athanasios Lykidis, for their contribution to the development and maintenance of IMG ER. - The author is indebted to Léo Ducas, whose initial ideas and suggestions on this topic motivated work on this paper. The author further thanks Vadim Lyubashevsky and Oded Regev for their comments on the relevance of a subexponential time CVPP algorithm requiring (super)exponential space. The author is supported by the SNSF ERC Transfer Grant CRETP2-166734 FELICITY. - We wish to thank the elderly people who participated in this study, the staff in the day-service centers who cooperated, colleagues in the laboratory who advised us, and the families who supported us. The research in this article did not generate any raw data. - This study was supported by research funds from the Dong-A University. - We thank Catherine Szente MD, paediatrician (Dreilandpraxis, Basel, Switzerland) for performing the clinical review. - The authors thank the CDC Emergency Operations Center for providing us the data as well as the FBI for providing us the data and for helpful comments and suggestions on the manuscript. - The study is funded by the National Institute of Health Research Public Health Research Programme. The authors would like to thank Aileen Ireland, Research Secretary, for her help in preparing the manuscript. - This research was supported in part by the Florida Department of Health James and Esther King Biomedical Research Program (07KB-07) and the National Institute of Neurological Diseases and Stroke (RO1NS52839 to AEW). - The We are very thankful to Almighty Allah; whose grace and blessed mercy enabled us to complete this work with full devotion and legitimacy. We are grateful to Mr. Fakhruddin and Mr. Nasir Rashid (Department of Computer Science and IT, University of Malakand) for their invaluable support and guidance throughout this research work. We also want to thank our friends and family for their encouragement; without whose support we could not have lived through this dream of ours. - This work was supported by a grant from State Forestry Administration, P.R. China (010-413255). - Our thanks to Lubomír Masner for discussion, insight, and inspration; to A. - [16] Acknowledgments. I thank Benno Blumenthal for the IRI Data Library, and Suzana Camargo, Tony Barnston, Alessandra Giannini, Vincent Moron, Ousmane Ndiaye and Sylwia Trzaska for their comments and suggestions. IRI is supported by its sponsors and NOAA Office of Global Programs grant NA07GP0213. - We thank Dr. Christoph Kolling for obtaining synovial tissue for our research project (approved by the local ethical committee). We thank Maria Comazzi, Peter Künzler and Ferenc Pataky for excellent technical assistance. We thank Prof. Dr. Beat A. Michel for his support. - This work is supported by National Cancer Institute grant R01CA136933 to D.C. - This study was supported by the Doctoral Scientific Research Foundation of Henan University of Science and Technology, China (grant no. 09001677). - This work was supported by the Project 61201153 supported by National Natural Science Foundation of China, the Research Project of CCF-Qimingxingchen Hongyan (CCFVenustechRP2016004), and the National 973 Program of China under Grant 2012CB315805. - The author would like to express his deepest gratitude to Dr. Andrzej Jankowski for the close cooperation of the development the IGrC approach. - This work was supported by CONACyT (grant 83049). Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: GG2086). - A.E.R. and D.M.F. acknowledge support from NIH grant R24GM115277. Author Contributions: All authors wrote and revised this review with A.K.D collating the final version and submission. - We thank the two referees, Matthew Jackson, and Albin Erlanson for their helpful suggestions. S. - We thank Y Hirata (RIKEN) and H Kondo (RIKEN) for their experimental supports in proteome analysis, and K Honda (RIKEN) for preparing allantopyrone A beads. We are grateful to Emeritus Professor Don R Phillips of La Trobe University for critical reading of this manuscript. This work was supported by UGAS, Iwate University Student Research Grant Project and Grant-in-Aid for JSPS Fellows. - Acknowledgements Open access funding provided by University of Graz. Philipp Berghofer is a recipient of a DOC Fellowship of the Austrian Academy of Sciences at the Department for Philosophy at the University of Graz. I wish to thank Sonja Rinofner-Kreidl, George Heffernan, Elijah Chudnoff, and Walter Hopp for many enlightening discussions. Also, many thanks to Harald Wiltsche, Michi Wallner, Marian David, and an anonymous referee for many important clarifications. - Acknowledgments: We wish to acknowledge the tremendous contributions of many individuals who made this study possible. Our Uganda Virus Research Institute field team consisted of Simon Wakaalo, David Drajole Andabati, Jackson Olweny, the late Wilfred Cwinyaai, and Nicholos Owor (in addition to authors N.B., G.A.M., and L.A.A.). Key field assistance was also provided by Ali Sebbi, Environmental Health Officer for Nebbi District, Santos Angualia, Assistant Environmental Health Officer for Vurra Subcounty, and Appolo Midra, Assistant Environmental Health Officer for Logiri Subcounty. We wish to especially recognize the lifetime contributions of author Asaph Ogen-Odoi, who died in December 2006 while conducting field work to control the large plague outbreak mentioned in this paper that immediately followed this study. His contributions to this study and to the understanding and control of plague in Uganda can never be overestimated. - The authors thank OMiC Co. (Chengdu, China) for assistance with the bioinformatics analysis. This study was supported by the National Natural Sciences Foundation of China (nos. 81130062, 81173236, and 30973743). - This work was supported in part by the European Commission under Grant Agreement No. PITN-GA-2012-317488-CONTEST, EPSRC Engineering Fellowship for Growth -PRINTSKIN (EP/M002527/1), and EPSRC First Grant (EP/M002519/1). The authors are thankful to the support received for this work from James Watt Nanofabrication Centre (JWNC) and Electronics Systems Design Centre (ESDC) in the University of Glasgow. - We would like to express deep sense of gratitude to our guide Prof. R.D.Komati for providing us with an opportunity to carry out the project on Smart Helmet Safety System and for her help whenever required. - This project is supported by Carnegie Mellon University's Mobility21 National University Transportation Center, which is sponsored by the US Department of Transportation. We would also like to thank Adam Harley, Leonid Keselman and Rui Zhu for their helpful comments and suggestions. - The authors gratefully acknowledge the contribution of Carolyn Pelham and Kevin Adrian for their outstanding care and oversight of mice for the duration of this diet study. The research described herein was generously supported by funds provided by the Barnum Foundation and Zell Family Foundation at Northwestern University, the Nathan and Isabel Miller Family Foundation, the IDP Foundation, NIH R21 CA123041-01 (PJG), and NIH R01 CA161283-01 (PJG). - This work was financially supported by National Natural Sciences Foundation of China (81372446), National S & T Major Project (2011ZX09102-001-10 and 2015ZX09102010). - Joint Acknowledgment/Disclosure Statement: This work was supported by a grant from the Commonwealth Fund, New York, NY. We acknowledge the contributions of the anonymous reviewers for numerous helpful suggestions. None of the authors reported a conflict of interest with respect to this project. Disclosures: Health Research & Educational Trust is the publisher of HSR. Disclaimers: None. - We thank Achim Stephan, Andrea Wittmann, Norman Mack and David Westermann for generous support with the whole-genome sequencing, the FISH and the preparation of the tumor sections. Ivo Buchhalter is gratefully acknowledged for support with the analysis of the whole-genome sequencing data. We thank Till Milde for the patient-derived xenograft model. - Terminology was used according to the recommendations by the European consortium "Systematic Evaluation of the ground based (micro-) gravity simulation paradigms available in Europe" (ESA contract 4200022650) [52] . We gratefully acknowledge financial support by DLR (grant no. 50WB0912), the Italian Space Agency, Rome , (grant MoMa/ERMEIS) and the Fondazione Banco di Sardegna, Sassari (grant 968/2010.0373). We also gratefully acknowledge the support of (in alphabetic order) Miriam Christen, Karl-Heinrich Grote, Sonja Krammer, Liliana Layer, Jutta Müller, Marianne Ott, Irina Rau and Monika Sebele. We are indebted to Partec GmbH (Münster, Germany) for providing the CyFlow SL for on-site analysis at ESRANGE Space Port and their excellent support. We thank PromoCell (Heidelberg, Germany) for the excellent collaboration in this project and for their individual service and custom production of material. We gratefully acknowledge the support of the European Space Agency, especially Rene Demets and Antonio Verga, of the Swedish Space Cooperation, especially Per Holm, Franz Gronmayer, Matthias Abrahamsson and Gunnar Florin, the Center for Concepts in Mechatronics (CCM), especially Edwin Langerak, and Dutch Space, especially Guus Borst. We thank Ms. Naomi Shepherd for editing the manuscript. - This work is dedicated to the memory of Dr Joaquin Mateu (Barcelona, 9/1/1921-18/1/2015, who really discovered and first studied C. aliai. The authors are grateful to Dr Thierry Deuve (Muséum National d'Histoire Naturelle, Paris) for some important advices. A particular thank is also due to Mr Jaroslav Kaláb (Kuřim, Czechia>) and to Dr Massimo Meregalli (Department of Animal and Human Biology, University of Turin, Italy) for information on habitats and photos, and to Prof. Ronald Hedrick (School of Veterinary Medicine, University of California, Davis, CA, USA) for his assistance in editing the English text of the manuscript. Re-establishment of Carabus (Cathoplius) aliai Escalera, 1944... - Stanford University. - The study was supported by National Forest Funds, transferred to the Tatra National Park in 2016. - This project is partially supported by the Natural Science Foundation of China (41376095, 41350110226), Scientific Research Foundation for the Returned Overseas Chinese Scholars (20101174), and Zhejiang University Ocean Sciences Seed Grant (2012HY012B). The authors wish to thank Weiming Wu for his help and discussions on sediment transport modeling over the years. - We thank the respective health bureaus in Ethiopia and Tanzania for their support during the study. We also thank members of the study teams in Tanzania (Celine Mandara, Johari Sadi, Rashid Madebe, August Nyaki, Hatibu Athumani, Thomas Semdoe and Seth Nguhu) and Ethiopia (Diriba Dabushe, Tsehay Orlando, Tewabech Lemma and Arega Tsegaye), health facility staff and all study participants in the respective countries for voluntarily taking part in this study. The master students, Maria Tusell Rabassa, Sabri Kardi, Marwa Mani and Hadeel Ali are dully acknowledged for conducting molecular analysis of pfmdr-1 and pfubp-1 variation. Seed funding for the study sites in Ethiopia was obtained from Medical Research Council UK-G0600718. The molecular studies on all samples were supported by a Swedish Research Link Grant. - The authors are deeply grateful to the referee for careful reading and many useful suggestions. We would like to thank Prof. Kamran Divaani-Aazar for useful discussions, and also the Azarbaijan Shahid Madani University, for the financial support. - This research was conducted while Kouji Urushihara was visiting SUNY-Binghamton as a research fellow of the Japan Society for the Promotion of Science at Osaka Kyoiku University. The work was supported by NIMH Grant 33881 to Ralph R. Miller, by Grant-in-Aid for JSPS Fellows to Kouji Urushihara, and by Grant-in-Aid for Special Purpose from Ministry of Education, Culture, Sports, Science, and Technology of Japan to Kouji Urushihara (19539004). The authors would like to thank Eric Curtis, Sean Gannon, Ryan Green, Mario Laborda, Bridget McConnell, Lisa Ng, Heather Sissons, Gonzalo P. Urcelay, and James Witnauer for their comments on an earlier version of this manuscript. We also thank Danielle Beaumont and Wan Yui See for their assistance in running the experiments. - This work was supported by a Grant-in-Aid for Innovative Collaborative Research Projects and a Special Research Grant-in-Aid for the Development of Characteristic Education from Showa University. Funding was also provided by JSPS KAKENHI (Grant nos. 16591815, 17591895, 18591989, and 20592128). - We sincerely thank Martin Könemann for providing us the organic dye. We are grateful of Marc A. Verschuuren for the fabrication of the samples. - This work was supported by the National Science Foundation of China (21373028), National Key Program for Basic Research of China (2015CB251100), Major achievements Transformation Project for Central University in Beijing and Beijing Science and Technology Project. - The authors would like to thank William T. Starmer, Department of Biology, Syracuse University, for his guidance and thoughtful suggestions during the course of this work and for his critical review of this manuscript. We also want to express our appreciation to Barry Goldman, Monsanto Corp., for his insights regarding the possible data bias and into the lifestyle of many of the 906 bacteria included in this study and his time spent reading the drafts. We would also like to thank Laura Welch for her editorial comments. - The authors are indebted to anonymous referees who helped us to improve this text. The first author is thankful to Ministry of Education, Sciences and Technological Development of Serbia. - I would like to thank Bill Lenhart who provided the inspiration for Theorem 3. I would also like to thank David Avis, Herbert Edelsbrunner, and Meier Katchalski, who helped in various aspects of writing this paper. Finally, I would like to thank the referees for helping to simplify the proofs in this paper. - The authors wish the thank Dr. Emmanuel Srofenyoh, Dr. Adeyemi Olufolabi, and Dr. Margaret Sedensky for their input in the development of Kybele's partnership model and its expansion both within and across boundaries. - We thank Dr. Marc de Meyer, curator of the Entomological Collection of the Royal Museum of Central Africa, Tervuren, Belgium for his kind permission to access material deposited in this collection. To Dr. Wilfrida Decraemer, Dr. Yves Samyn, Dr. Marie-Lucie Susini and Dr. Alain Drumont for their assistance during the visit of the senior author to the Royal Belgian Institute of Natural Sciences (RBINS), Brussels. To Julien Cillis (RBINS) for technical help with SEM. To MSc. Yamir Arias, MSc. Eduardo Furrazola and Lic. Susett González (Instituto de Ecología y Sistemática) for their help with the micrographs. To Dr. Pedro Reyes-Castillo (Instituto de Ecología, Veracruz, México) and Dr. Stéphane Boucher (Museum of Natural History, Paris, France) for the identification of the hosts. We are indebted to Dr. Pedro Herrera (Instituto de Ecología y Sistemática) for his review of the English language. The visit to collections in Belgium to access the material and SEM techniques was supported by the Belgian Development Cooperation through the Belgian Focal Point of the Global Taxonomy Initiative (GTI), 2010 and 2012 calls. Open access to this paper was supported by the Encyclopedia of Life (EOL) Open Access Support Project (EOASP). - This book is the result of 2 years of intensive of work by many individuals and many organizations. Acknowledgment is made to all who have participated in the process. In particular, thanks are due to all the members of the Gender Working Group (see Appendix A) for their expertise and commitment. Special thanks are extended to Shirley Malcolm, Farkhonda Hassan, Sonia Correa, and Marilyn Carr for serving as the informal editorial board for this publication, and to the contributors, who were willing to set aside other intentions and divert their efforts to the work of the UN Commission on Science and Technology for Development. The work was made possible through generous financial contributions from the Netherlands Ministry of Foreign Affairs, the International Development Research Centre (Canada), the United States Agency for International Development, the Swedish Agency for Research Cooperation with Developing Countries, the United Nations Development Fund for Women (UNIFEM), the Carnegie Corporation of New York (USA), the World Women's Veterinary Association, and Mr William Hewlett. In addition, the following organizations made substantial nonfinancial contributions in time, and their substantive assistance is deeply appreciated: the Gender, Science, and Development Programme of the International Federation of Institutes for Advanced Study, the Board on Science and Technology for International Development (US National Academy of Sciences), and the Third World Organization of Women in Science. Thanks are due also to the Government of the Netherlands, the Government of Costa Rica, and the Inter-American Institute for Cooperation on Agriculture for hosting the meetings of the Working Group. The review of the United Nations system was carried out by UNIFEM, which responded positively and enthusiastically to the Commission's request that it act as the "lead agency" in this review. UNIFEM's contribution, both in conducting the review and in helping to host and organize the initial meeting of the Gender Working Group, is deeply appreciated. Finally, I would like to acknowledge the work of the Secretariat in facilitating all the activities of the Gender Working Group. In particular, I thank Elizabeth McGregor, the Director of Studies, for her professional contribution and personal support and enthusiasm throughout the 2-year process. - We thank the Vanguard Project participants and study team members Mary Lou Miller and Arn Schilder. We also thank Bonnie Devlin and Marcus Greatheart for administrative support. Drs. Lampinen and Hogg are supported by the Michael Smith Foundation for Health Research. - We would like to thanks the mothers and the children that participated in these surveys, Paul Chipeta and the other ACTia field staff. We are grateful to Professor Alan Fenwick, Imperial College London, for the purchase and donation of funds for the SEA-ELISA kits. Special thanks go to Professor Anthony Butterworth and Dr. Liz Corbett for their hospitality and local assistance in Blantyre. We are also grateful for the comments of Dr. Lester Chitsulo and Dr. Amaya Bustinduy which improved our manuscript, as well as the suggestions from the referees. The study was funded in part from the Wellcome Trust and LSTM Research Development Funding. - We thank Dr. Markus Müschen for providing of CML Jurl-MK1 cells, Dr. Shi-Qi Wu and Mr. Michael Lu for providing assistance in fluorescence microscopy analysis of GFP expression, and Mr. Jonathan Harbert for the technical support in HE staining and CD45 immunohistochemistry detection. This work was supported by grants from the National Institutes of Health (R01 CA120512 and ARRA-R01CA120512) and Winzer Fund from Department of Pathology (CHLA/USC) to L.W. - This chapter was written in connection with scientific project VEGA no. 1/0892/13. Financial support from this Ministry of Education's scheme is also gratefully acknowledged. - This work was supported by the Office of Basic Energy Sciences, Department of Chemical Sciences, US Department of Energy, under contract W-31-109-ENG-38. We would like to thank Dr M. Bowman for helpful discussion during the course of this work. - The authors would like to thank King Abdulaziz City for Science and Technology and King Saud University for their support of this work and allowing them to use their equipment and laboratories. - Funding to support this study and the preparation of this manuscript was provided by Auxilium Pharmaceuticals. An Auxilium employee co-authored this paper and was involved in the study design, analysis and interpretation of data, writing of the report, and final approval to submit. The authors thank Lynanne McGuire, PhD, of MedVal Scientific Information Services, LLC, for providing medical writing and editorial assistance. This manuscript was prepared according to the International Society for Medical Publication Professionals' "Good publication practice for communicating companysponsored medical research: the GPP2 Guidelines." Research funding: Auxilium, GlaxoSmithKline. Advisor/ consultant: Abbott, Auxilium, Endo. All authors contributed equally and were involved in study design, data acquisition, or data analysis/interpretation and in drafting and/or critically revising the manuscript. All authors reviewed the final manuscript and gave approval for submission. - Akcnowledgement This work arises from a question addressed by A. Teta and has largely profited from useful discussions with F. Nier and C.A. Pillet . The author is also indebted to S. Naboko and H. Neidhardt for their important remarks. - We are grateful to Dr Takao Shimizu of Tokyo University for encouraging our study and Ms Mutsumi Takano for technical assistance. This work was funded by Grants-in-Aid for scientific research from the Japan Society for the Promotion of Science (21390016, 23112503, and 23659029 to F.O. and 22791267 to M.K.). This work was also supported by Global COE Program from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (to M.K.), by the joint research program of the Institute for Molecular and Cellular Regulation, Gunma University (10004) (to F.O. and T.K.), and by 2010 Japan-Korean joint research project. - The authors are grateful to ICAR New Delhi for providing financial assistance. We also acknowledge the Forest, Wild life and Police Departments of Govt. of Jammu and Kashmir for their valuable support during field study. Special thanks are due to Dr. Paul H Williams, Research Entomologist, BMNH London for confirmation of species identification. - To the National Center of Coffee Researches (CENICAFE, Colombia) for supplying the data on infestation of the coffee berry borer. The second and third authors were partially supported by CNPq. - We are thankful for the staff at the NOAA Aircraft Operations Center and the WP-3D flight crew for help in instrumenting the aircraft and for conducting the flights. - This work was supported by the Foundation of Henan Polytechnic University for Doctor Teachers, and the authors thank Ms Q. F. Wang for her support with the single-crystal Xray diffraction data collection. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: PV2174). - The author is grateful for the financial support and the facilities provided by the King Fahd University of Petroleum and Minerals. - The authors acknowledged the cooperation of Pakistan Council for Scientific & Industrial Research (PCSIR), Lahore-Pakistan to provide its facilities. We are thankful to Ms. Farzana Bashir and Mr. Rauf Ahmed for the help during sample analysis. - The authors thank Lise Hald Schultz and Herdis Berg Johansen for excellent technical assistance. This work was supported by Nyckelfonden at Örebro University Hospital, Sweden. - We thank Jacqueline Le Grand for providing help during field sampling, and Roger Kerouel and Philippe Cann for chemical analyses. We are grateful to the referees and to the editor for their very useful comments. - Funding Acknowledgement: This work was funded by R00AG035002, 5R01DK080792, R00HL098459, and 1R01AG031890. The Nurses' Health study is supported by CA87969, DK58845, and DK58785 from the NIDDK and NICHD of the National Institutes of Health (NIH). - We are very grateful to all participants in the study. We also wish to thank the project team members Maria Cortes, António Carlos da Silva, Maria do Rosário Horta, Mário Carreira, Violeta Alarcão, Fernanda Silva, Miguel Lemos and Claúdia Maurício. The authors wish to acknowledge the valuable feedback and reviews provided by Prof. Gilles Dussault. This work was supported by Fundação para a Ciência e a Tecnologia [IME/SAUESA/81760/ 2006]. - This research was supported by a grant from the Experimental Psychology Society and by a European Research Council grant (ERC-2013-StG-336050) under the FP7, both to M.R.L. - We thank Nancy Lea Eik-Nes for revision of the paper. - We thank all our military collaborators from the Peruvian Navy who played an important role by collecting the data for the analysis. We are indebted to them for their commitment to this project and involvement representing the Peruvian Navy Health Directorate. We thank Heather Tatum, Leilani Thomas, and Peter Browning for excellent specimen management of serum samples at the Centers for Disease Control and Prevention. - This work was supported by funding from the National Institutes of Health grant [CA142642-02 2010-2015 to PPC, DKB, APK; 2T32CA009594 to BB]. We thank Douglas K. Bishop for helpful conversations. - Sijin Wen acknowledges the support from the National Institute of General Medical Sciences Grant U54GM104942. - We wish to thank Yiji Xia for providing xlg2 and xlg3 mutants. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - The authors would like to thank APEC Climate Center, Busan, for providing the necessary facilities to pursue this study. The work was done during the YSSP program by the first author under the supervision of second author at APEC Climate Center, Busan. The station datasets provided by the Sri Lanka Meteorological Department and Mahaweli Authority of Sri Lanka are duly acknowledged. This research was also supported by a Grant (16RDRP-B076564-03) from regional development research program funded by Ministry of Land, Infrastructure and Transport of Korean government. - This work was supported by Science Foundation from the Natural Science Foundation of Zhejiang Province (no. LQ14H290002) and Zhejiang Provincial Administration of Traditional Chinese Medicine (no. 2014ZB012). - This study was supported by grants from the Natural Science Foundation of China (81272472) and Technology Services of Jilin Province Scientific and Technological Project (20150414028GH; 20150520035JH). - This work was supported by grants from the American Heart Association and Miami Heart Research Institute. - We are grateful to Miss Guri Christiansen and Mrs. Michele Lartigot for their technical assistance and to Mrs. Elsbeth Scheidegger for her assistance and care of the marmosets. We thank Miss Susi Naegeli for typing the manuscript. - We are indebted to Professor YJ Lee of Chungbuk National University and Dr JY Kim of the Korea Institute of Geosciences and Mineral Resources for their helpful comments and suggestion. Dr Yum acknowledges work Korea Research Foundation Grant (KRF-2000-042-D00096) for partial financial support. - This work is supported in part by NASA grant NNX07AH65G and the Smithsonian Institution. This work has made use of the NASA/IPAC Extragalactic Database (NED) which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. We thank John ZuHone and Ryan Johnson for helpful discussions. Facilities: CXO (ACIS-I, ACIS-S), VLA - This work has partly been supported by the European Commission under contract number H2020-ICT-645403-ROBDREAM. - Acknowledgements. The authors thank the Space Weather Prediction Center of NOAA and SIDC for providing access to their archived space weather alerts. The MIRACLE network is operated as an international collaboration under the leadership of the Finnish Meteorological Institute. The IMAGE magnetometer data are collected as a joint European collaboration. INAF-IAPS (Italy) and the University of Oulu (Finland) maintain the ITACA ASCs and the ASC in Sodankylä. National Institute on Polar Research (Japan) is acknowledged for their service of auroral images which was used in RAF testing. A. Ketola, L. Häkkinen, S. Mäkinen, P. Posio, K. Pajunpää and A. Koistinen (all in FMI Observation Unit) are acknowledged for their persistent and professional work for MIRACLE observations. P. Janhunen (FMI) gave valuable advice in the analysis of W/V curves. Edited by: J. Pulliainen - The authors would like to thank the NIH Protein Structure Initiative for generous support of the PHENIX project (1P01 GM063210). This work was supported in part by the US Department of Energy under Contract No. DE-AC02-05CH11231. RJR is supported by a Principal Research Fellowship from the Wellcome Trust (UK). The authors would like to thank Gerard Kleywegt for pointing out the differences between PDB entries 1zen and 1b57 and an anonymous reviewer for unusually extensive and insightful questions and comments. - Acknowledgments RvM received a scholarship of the Technology Foundation (STW Project 7180). Nicola Tien is acknowledged for many useful comments and stimulating discussions. The comments of two anonymous reviewers was greatly appreciated. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. - We thank A. DeLong, R. Offringa, J. Friml and J. Xu for providing published materials, and J. Xu for helpful comments on this manuscript. This work was supported by Academic Research Funds (MOE2009-T2-2-111, R-154-000-468-112, R-154-000-598-112 and R-154-000-506-112) from the Ministry of Education-Singapore, the Singapore National Research Foundation, under its Competitive Research Programme (NRF2010NRF-CRP002-018), and the intramural resource support from National University of Singapore and Temasek Life Sciences Laboratory. - The authors wish to thank the Senex Energy Ltd management team and the APPEA Technical Program Committee for the opportunity to publish this paper. The authors wish to thank Alan Sansome of DMITRE for assistance in the reconnaissance of data, James Crowley for technical reviews and support during the writing of this paper, Michaela Farrow of Schlumberger for her ongoing assistance, David Warner and Bob Frears for technical review, Tony Kennaird for assistance with core analysis, and Mark Riley and Ian Moffat of Precipice Training who provided insightful opinions and facilitated numerous interesting discussions during interpretation. The authors also wish to thank previous investigators for documenting the stratigraphic complexity of the Cooper Basin. The views presented in this paper are those of the authors at the time of publication and do not necessarily reflect those of Senex Energy Ltd management. - We thank Northwestern University MicroCT facility for use of the microCT. We also thank K. Ignatiev for expert technical assistance and help with 3D-renderings and the members of the Developmental Systems Biology Core for stimulating discussions. H.G.S. received a Schweppe Career Award. - Acknowledgments Funding for this study was provided by the National Insitute on Drug Abuse (NIDA) R01-DA032550. The original data collection was funded by R01-DA11796 and R01-MH57005. Dr. Johnson's work was supported by K01-DA31738. Dr. Matson's work was supported by K01-DA035387. - We thank all members of the Department of Molecular Genetics of the Tokyo Medical and Dental University who provided helpful discussion. This study was supported by a grant from the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI no. 15598477). - The authors wish to thank Doug Robinson (JMP Life Sciences) for help with array analysis, Charles Vanderburg (MGH Department of Neurology) for technical help and Matthew J Niederst for providing patient-derived cell lines. This work was supported by NIH RO1 CA207186 (DAH), HHMI (DAH, MNR), National Institute of Health/National Institute of Dental & Craniofacial Research K08DE020139 (SMR) and the Burroughs Wellcome Fund (MNR). - This work was supported by INRIA FRM, ERC-NERVI number 227747, European Union Project # FP7-269921 (BrainScales), and Mathemacs # FP7-ICT-2011.9.7 - The authors wish to express their appreciation to all study participants on the TwinsUK, KORA and EGCUT studies for donating their blood samples and time. - We thank Drs Ralf Klessen, Volker Springel and Meng Xiang-Grüß for making available some of the numerical tools that we used for the calculations presented in this paper. We furthermore thank the referee for his comments on an earlier version of this paper, that significantly improved the quality of the publication. - The research reported herein was supported by the Center's Partnership Program. The findings and conclusions expressed are solely those of the authors and do not represent the views or policy of the partners or the Center for Retirement Research at Boston College. - Acknowledgment. The authors' would like to express their thanks to the reviewers for helpful suggestions and comments towards the improvement of this paper. The first author M.A. Pathan would like to thank the Department of Science and Technology, Government of India, for the financial assistance for this work under project number SR/S4/MS:794/12. - We thank Bei Wei, and Drs. Martin Enge, Bernhard Schmierer and Minna Taipale for critical review of the manuscript, and Sandra Augsten, Lijuan Hu, Anna Zetterlund, and Sini Miettinen for technical assistance. - Preparation of this article was supported by Grants DA026594 from the National Institute on Drug Abuse and AA021888 from the National Institute on Alcohol Abuse and Alcoholism to Seth J. Schwartz, and by National Center for Advancing Translational Sciences Grant 1UL1TR000460 to José Szapocznik. We thank Maria-Rosa Velazquez, Tatiana Clavijo, Mercedes Prado, Alba Alfonso, Aleyda Marcos, Daisy Ramirez, Lissette Ramirez, and - [23] Acknowledgments. This research is supported by NOAA grant GC01-229, NSF grants ATM0650552 and ATM0652145 and NSFC (National Natural Science Foundation of China) grant 40528006. The authors thank the valuable comments from A. Timmerman and careful editing of the manuscript by A. Barcilon and Diane Henderson. SOEST contribution XXXX. - Grant PN-II-RU-RP-2008-4-7 of the Romanian MEC We thank J.M. Crolet for his remarks. - The authors thank Dr. Jan Löwe for providing B/r H266 strain, and Dr. Alexey Melnikov and Dr. Pavel Serdobintsev for their help in the development of the optical set up. The reported study was supported by the Russian Science Foundation, research project no. 14-34-00023. The work was carried out using the unique set up "Laser tweezers". - Acknowledgment The authors thank R. J. Toohill (Medical College of Wisconsin, Milwaukee) for reviewing the manuscript. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. - We are indebted to the participating families, the midwife research assistants (L Douhaud, S Bedel, B Lortholary, S Gabriel, M Rogeon, and M Malinbaum) for data collection, the psychologists (Marie-Claire Cona and Marielle Paquinet) and P Lavoine, J Sahuquillo and G Debotte for checking, coding, and data entry. We also thank S Kern for providing the - The study team gratefully acknowledge financial assistance received from the physicians of Ontario through The P.S.I. Foundation and from HealthForceOntario (a joint initiative of the Ontario Ministry of Health and LongTerm Care and the Ontario Ministry of Training, Colleges and Universities). We extend thanks to Mavis Leong and Allan Kostyniuk for their help with the chart audit, to Shari Gruman for formatting the paper, and to the IMPACT team for contributing to the development of our collaborative model of care for complex elderly patients. Ross Upshur is supported by - Yasin M. Abul-Huda acknowledges the support of the National Defense Science and Engineering (NDSEG) Fellowship as well as the Rackham Merit Fellowship (RMF). The part of this work conducted at Stanford University was performed under the auspices of the Department of Energy-sponsored Predictive Science Alliance Program (PSAAP) at Stanford University. The authors would like to thank an anonymous reviewer for inviting us to develop the model of Sec. V further into its current form. - This research was possible due to support from National Institutes of Health (Grant # 2R44DK061164). The authors would like to thank Gordon Hirschman and Lynn Bardsley of Infoscitex, Inc for their kind input during the course of this study. - The authors thank patients for their participation and the Spanish HIV HGM BioBank supported by ISC III (Grant nu RD09/0076/00103), FIPSE and collaborating centres for the clinical samples provided. - This work was supported by grants from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) R01-073944 to BL, from the Canadian Institutes of Health Research (CIHR) MOP97858 to MDM, and from Natural Science Foundation of China (81371173) - We gratefully acknowledge AIRC (IG-12085), Ente Cassa di Risparmio di Firenze (MODECRF 130504) and University of Pisa (PRA_2015_0055) for generous financial support. The authors wish to thank Maria Agostina Cinellu of the Department of Chemistry and Pharmacy, University of Sassari, for the gift of a sample of Aubipy c . - Acknowledgments: We thank the physicians, nurses, and clinical staff at the Disease Control and Prevention Center for their excellent work. - Authors appreciate technical support by Yu Sub Sung, PhD at the Biomedical Imaging Infrastructure in the Department of Radiology, Asan Medical Center. - We thank Drs Harry Rozmiarek and John Cebra for valuable support and advice. Dr Cebra's untimely death while this manuscript was in review has saddened all of us, and will surely have a negative impact on the field of gnotobiology. This study was supported by National Institutes of Health Grants DK 55852, P30-DK 50306 and RR12211; we thank the Morphology Core in the Center for Digestive and Liver Disease for histological preparations. - In this research, JPG was supported by EPSRC under Grant No. GR/S54074/01. DK was supported initially by the Director, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division, U.S. Department of Energy, under Contract No. DE-AC02-05CH11231. RLJ and DC were supported initially by NSF grant CHE-0543158 and later by Office of Naval Research Grant No. N00014-07-1-0689. - The authors would like to thank the reviewers for their comments and suggestions which helped improve the presentation and readability of the paper. The first author is grateful for the time provided by General Motors Corporation for the work on revising the manuscript. - The goal of this study is to elucidate the prehistory of populations as reflected in their genetic variation. It does not intend to evaluate the self-identification or cultural identity of any group, which consist of more than simply genetic ancestry. We sincerely thank all the donors of genetic samples for their participation in this investigation, Rem Sukernik and Dejan Matić for assistance with sample collection, Mark Stoneking for helpful discussion, Torsten Blass and Gabriel Renaud for assistance with R and the haplotype sharing analysis, and two anonymous reviewers for comments. - The authors would like to thank all lab staff who performed mouse breeding and biochemical analyses at AstraZeneca and the University of Cambridge for this project. We wish to thank Jane Löfvenmark for invaluable help during the early stages of the project. We would like to thank the animal care staff at the institutions involved for their work on this project. We also thank Ian McFarlane, Lyn Carter and Jeremy Skepper for providing technical help. - The financial support from the Grant Agency of the Czech Academy of Sciences (grant no. GA AV IAAA401990701) is greatly acknowledged. The authors also wish to express their thanks to Anna Vasatkova and Vaclav Diopan for excellent technical assistance and to Veronika Kohoutkova for the English corrections. - This work was partially supported by PRONEX/FAPESQ-PB, CNPq and CAPES (PROCAD). We are indebted to Prof. Mark Alford for his comments on reference [22] and for pointing out to us reference [8] . - The author thanks Akihiro Munemasa and Etsuko Bannai for the collaborations on some of the materials presented in this paper. The author thanks Tbshitake Kohno for introducing and explaining to the author about fusion algebras and conformal field theory. The author also thanks Mitsuhiro Kato and Yasuhiko Yamada for the valuable discussions while the author visited High Energy Physics Laboratory at Tsukuba in February 1991. - The authors would like to warmly thank Dr. Brigitte McGregor for her assistance with the immunohistochemistry. - It is a pleasure to thank A. Athenodorou, E. Bennett, G. Bergner, F. Bursa, L. Del Debbio, D. Henty, E. Kerrane, A. Patella, T. Pickup, C. Pica, A. Rago, E. Rinaldi, R. Sabin for their valuable contributions to the collaborations on which this work is based. Numerical computations were executed in part on the Blue Gene/P machine in Swansea University and the ULGQCD cluster in the University of Liverpool (part of the DiRAC facility supported by STFC), on the HPC Wales cluster in Cardiff, supported by the ERDF through the WEFO (part of the Welsh Government), on the BlueGene/Q system at the Hartree Centre (supported by STFC) and on the BlueGene/Q system at the University of Edinburgh (part of the DiRAC2 facility supported by STFC). This work has been supported by STFC (grant ST/G000506/1). - We would like to thank all the anonymous reviewers for their valuable comments and suggestions which have helped improve this paper. We would also thank the Editors and the Editorial Office for their diligence. - We thank Dr. Stephen Gunther and Thomas Kontry for providing us with [ 125 I]iodoANP. The excellent technical support of Margaret Gosselin, Nancy Pazdziorko, and Greg Hodder is deeply appreciated. We also thank Ms. Doris King and Virginia King for preparing the manuscript. - Acknowledgements Supported by the US Public Health Service (DK067287 to JMC), the UCSD Digestive Diseases Research Development Center (DK080506), and the San Diego State University/UCSD Comprehensive Cancer Center Partnership (CA132379 and CA13238). Disclosure All authors declare no conflict or competing interest for this manuscript. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. - This work was supported by the Pró-Reitoria de Pesquisa of Universidade Federal de Minas Gerais which provided financial aid to the translation of this manuscript into English language. - This paper was supported by the Israel Science Foundation (Grant 159/10 awarded to Ram Frost), by a Marie Curie IIF fellowship awarded to Blair Armstrong (PIIF-GA-2013-627784), and by the NICHD (RO1 HD 067364 awarded to Ken Pugh and Ram Frost, and PO1 HD 01994 awarded to Haskins Laboratories). - Acknowledgements We thank Mr. Alberto Parisi for technical support. - We thank the DESY directorate for their strong support and encouragement. The remarkable achievements of the HERA machine group were essential for the successful completion of this work and are gratefully acknowledged. We also thank G. Kramer for useful discussions and B. Pötter for providing the JetViP calculation. - This project was funded by Horticulture Australia Limited in partnership with AusVeg (project number VG07126; program 2AE1) and USDA-ARS CRIS Project 5358-21000-035-00. We gratefully acknowledge the bean growers and processors who allowed access to their fields for sampling. Travel of Dr Gent to Australia was also partially funded by the University of Tasmania 's Visiting Scholar Program. Thanks are also extended to Craig Palmer, Stacey Pilkington, Dr Jason Scott, Thomas O'Malley, Phillip Beveridge, Gordon Tuck, and Phil Gardam, University of Tasmania, for excellent technical assistance. - This work was supported by grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação Araucária (FA), and Coordenação de Aperfeiçoamento do Pessoal de Nível Superior (CAPES). The sponsors had no involvement in the study design, collection, analysis and interpretation of data, writing or revision of the report or in the decision of publishing. The authors would like to express their gratitude for the technical assistance of Aparecida Pinto Munhos Hermoso, Célia Akemi Gasparetto, Irene Aparecida Bernardino, and Luiz Saraiva Arraes. - [22] Acknowledgments. We wish to thank the National Science Foundation for financial support to R. Dugdale and F. Wilkerson (JGOFS-Synthesis and Modeling Program (SMP) grant OCE-01354430), F. Chai (SMP OCE-137272), and M. Lyle (OCE-9811272 and EPS 0132626). We would like to dedicate this paper to Jack Dymond, a close friend and colleague. His insights into biogeochemical cycling will be missed by us all. This is US JGOFS contribution 1048. - I would like to thank the two anonymous reviewers for their comments and suggestions, as well as the DZ Bank Stiftung for the financial support during the study. - This work was supported by NIH funds through a supplement (LMF) to IMPAACT (U01 AI068632), a fellowship (SCO) award (T32 HD07233), the 1032 study team in Chiang Mai (U01 AI41089 The authors would like to thank Rob Hall for his assistance in pyrosequencing subject samples at the Bumgarner laboratory. ) - The present study is supported as a National Science and Technology Major Project (2013ZX10005002). - We would like to thank Dr. Craig McGowan for the use of his equipment and ProAnalyst license in order to track the videos used in this experiment. - We are grateful to Eric Jensen for his technical assistance, to Dr. Carolyn Kerr for carrying out the anesthesia, and to Dr. Gary Bouck for performing the surgeries. Thames Valley Veterinary Services, in particular Jackie Taylor and Cathy Cavanagh, provided additional animal care. We also thank the referring veterinarians and owners of the volunteer pets. We are indebted to Dr. Raoul Pereira, Dr. Charles McKenzie, and Dr. Frank Prato for their many valuable suggestions involving the MR protocol. Image analysis was performed using the Xstatpak program developed by J. Davis. Contrast agents were provided by Schering AG. - We acknowledge the financial support of Széchenyi 2020 under the EFOP-3.6.1-16-2016-00015. - I would like to express my gratitude to Prof. F.W.Hehl, P.S.Letelier and A.Wang for helpful discussions on the subject of this paper. Financial support from UERJ and CNPq. is gratefully acknowledged. - Acknowledgments This work was supported by Kakenhi (15H05569 and 15H01417), the Life Science Foundation of Japan, the Inoue Foundation, and the Public Health Research Foundation. - Acknowledgements. -The authors thank Dr. Bogdan Kralj of the Mass Spectrometry Centre at Jozef Stefan Institute (Ljubljana) and Janez Plavec of the Slovenian National NMR Centre. This investigation was supported by the Ministry of Science and Technology of Slovenia (P-0515) and COST-D8 Programme. - The experimental results presented in the paper were obtained in the framework of the TRE3 research project, funded by the Fondazione CARITRO -Cassa di Risparmio di Trento e Rovereto (Trento, Italy). The industrial partners X-Lam Dolomiti (Castel Ivano, Italy) and Rothoblaas (Cortaccia, Italy) are gratefully acknowledged for providing the materials used in the tests. Mario Pinna and Diego Magnago are gratefully acknowledged for preparation and running all the tests. Further acknowledgements are extended to Dr. Tiziano Sartori, who provided some useful remark on typical light-timber frame wall systems. - This work was supported, in part, by a grant from the NIH/ NIMH (MH095325, K.S. and H.M.L., Multiple PI). - The authors would express their gratitude to Professor Keiichi Noguchi for technical advice. This work was partially supported by the Mukai Science and Technology Foundation, Tokyo, Japan. - Acknowledgments. We are grateful to C. Johnson for sending us an early version of [J] and to D. Nakano for helpful conversations. We also thank the referee for helpful comments. - The authors acknowledge expert advice and contributions from Chris Westlake, Guowei Fang, Ben Chih, Andy Peterson, Cecile Chalouni, John S. Beck, Darryl Y. Nishimura, Charles C. Searby, Martin Griebel, John Neveu, Bogdan Budnik, Renee Robinson, Alex Loktev, Jorge Torres, Saikat Mukhopadhyay, Dirk Siepe and Kevin Wright. We acknowledge the following support: JJM, NIH Medical Scientist Training Program Grant GM07365-33; RHG, the Netherlands Organisation for Scientific Research VIDI grant 016.066.354 and the EU FP7 "Syscilia" project 241955; LMB, the Cardiovascular Center Interdisciplinary Research Fellowship, University of Iowa; JFO, NIH grant DK071108; DCS, NIH Grant CA112369; J.B.V., Canadian Institutes of Health Research grant MOP-102758; DAD, KL2RR025015 and R01NS064077; J.F.R., NIH Grant R01-AR054396, the March of Dimes, the Burroughs Wellcome Fund, the Packard Foundation, and the Sandler Family Supporting Foundation; VCS, NIH Grants R01-EY11298, R01-EY017168, the Roy J. Carver Charitable Trust, Carver Endowment for Molecular Ophthalmology, and Research to Prevent Blindness. VCS is an HHMI investigator. FH is an HHMI Investigator, a Doris Duke Distinguished Clinical Scientist, and a Frederick G. L. Huetwell Professor. FH acknowledges support from the NIH grants (DK1068306, DK1069274, and DK090917). - This study was funded by grant 1 R21 HD068736-01 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), a component of the National Institutes of Health (NIH). Additional support came from NICHD award K01 HD075834. The content of this publication is the responsibility solely of the authors and does not necessarily represent the official views of NICHD or NIH. - The present article was extracted from proposal No. 92-01-21-6745 approved by the Student Research Committee of Shiraz University of Medical Sciences, Shiraz, Iran. Thanks also go to the farmers who sincerely cooperated during the project. - Writing assistance was provided by Anna Abt, Ph.D., of ETHOS Health Communications in Yardley, Pennsylvania, and was supported financially by Novo Nordisk Inc., Plainsboro, New Jersey, in compliance with international Good Publication Practice guidelines. - Acknowledgments This work is supported by the Dutch Technology Foundation STW under the VIDI-Innovation Impulse program, grant DLR.6198. - Funding for the RFC Editor function is currently provided by the Internet Society. - We have been very happy with our use of the OPNET simulator. Our experiences show that students benefit from the OPENT simulation laboratory in many ways. The OPNET simulation labs reinforce the networking theory taught by regular lectures. The open design of the labs encourages active learning. In addition, students gain the knowledge of modeling and simulation technique for performance evaluation of networking systems. - We gratefully acknowledge the participants, for without them this research would not be possible. - We would like to thank all of the site research coordinators for their help with data extraction and validation. We would also like to thank the Neurosurgery Research and Education Foundation for its financial support of this work. - SM acknowledges financial support from the Finnish Cultural Foundation (Science Workshop on Entanglement), the Emil Aaltonen foundation (Non-Markovian Quan- - This work was supported by National Natural Science Foundation of China (Project No: 51777153). - Acknowledgments. The authors would like to thank the anonymous reviewers for their valuable comments and suggestions on how to improve the paper. This work has been supported by the EU FP7, project No. 317858 "BigFoot -Big Data Analytics of Digital Footprints" and Swiss National Science Foundation, project No. CRSII2 136318/1, "Trustworthy Cloud Storage". - We are indebted to Francisco Collado, from "Oficina Técnica de la Devesa de El Saler" ("La Albufera" Natural Park) for suggesting Limonium species of interest for conservation/regeneration programs of salt marshes in the Natural Park. We acknowledge the technical assistance of Ms. Mariola Monllor and Mr. Andreu Manzanera with the seed germination assays and the maintenance of plants in the greenhouse, respectively. - The authors thank S Frankenberg and HC Kuo for comments on the manuscript and C Lorthongpanich for assistance in statistical analysis. They also thank PH Cheng, the animal care team and veterinary staff at the Yerkes National Primate Research Centre (YNPRC). All animal procedures were approved by the IACUC and the Biosafety Committee at the Emory University. This work was supported by NIH grant awarded to AWSC (RR018827-04). - We thank the staff of the synchrotron beamlines involved in the work (beamline ID23-1 at the ESRF in Grenoble, France, beamline X06DA at the Swiss Light Source, Paul Scherrer Institut, in Villigen, Switzerland, and beamline MX-14.1 of HZB BESSY II, Helmholtz-Zentrum Berlin, Germany) for support and assistance with X-ray data collection. We are grateful to Günter Schwarz and Ulrich Baumann (both University of Cologne, Germany) for access to protein crystallography equipment. The work was funded by the National Academy of Sciences of Ukraine (grants 0107U003345, 0107U003345 and 0112U004110) and the Deutsche Forschungsgemeinschaft (grants NI 643/4-1 and NI 643/4-2). - The authors thank the State Laboratory of Applied Organic Chemistry, Lanzhou University, for funding this study. - We are grateful for the financial support of the European Research Council grant on NANOGRAPH, DFG Priority Program SPP 1459, Graphene Flagship (No. CNECT-ICT-604391), and European Union Project MoQuaS (contract No. 610449). - One of us (LW) acknowledges Andrew Persily and members of his group at the National Institute of Standards and Technology for supplying the Model 3007 and the test house on the NIST campus where the indoor-outdoor measurements were made. WO gratefully acknowledges the assistance of Jane McAteer in monitoring several California restaurants, and the Flight Attendants' Medical Research Institute for support. We also acknowledge TSI for loaning a second Model 3007 to determine the precision of the instrument. - Acknowledgments: S.O.K. and A.D.R. are financed by Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil. This research has made use of NASA's Astrophysics Data System and of the cross-match service provided by CDS, Strasbourg. Funding for the Sloan Digital Sky Survey has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions. The SDSS web site is www.sdss.org . Part of the work has been based on observations obtained at the Southern Astrophysical Research (SOAR) telescope, which is a joint project of the Ministério da Ciência, Tecnologia, Inovações e Comunicações (MCTIC) da República Federativa do Brasil, the U.S. National Optical Astronomy Observatory (NOAO), the University of North Carolina at Chapel Hill (UNC), and Michigan State University (MSU). - The authors wish to thank Dr P. Lewis and Dr M. Martin, Consultant Cardiologists, Stepping Hill Hospital, Stockport, for permission to study their patients and Dr P.J. Martin and the staff of the Pathology Department, Stepping Hill Hospital, for their valuable support in the collection of patients blood samples. - The authors would like to acknowledge Bernd Brunner, PhD, and Cindy Wake, BS, for support of the motesanib and erlotinib bioanalytical analysis and sample coordination; Rebeca Melara, MS, and Jian-Feng Lu, PhD, for contributions to the pharmacokinetic analysis; and Erik Rasmussen, MS, for statistical support. Additionally, the authors would like to thank Benjamin Scott, PhD, and Ali Hassan, PhD (Complete Healthcare Communications, Inc., Chadds Ford, PA), whose work was funded by Amgen Inc., for assistance in writing this manuscript. Competing interests DK has received commercial research grants and support from Amgen Inc. NT and TP have served as consultants/advisors for Amgen Inc. JD has as served on the speakers' bureau for Novartis and Pfizer; has served as a consultant/advisor for Novartis, Pfizer, and Merck; and has provided testimony for Pfizer. SW has served on the speakers' bureau for Roche and Schering-Plough and has served as a consultant/advisor for Roche. SM, YNS, JJ, AHA are employees and shareholders in Amgen, Inc. LLS declares that she has no competing interests. - The present study was supported by the Scientific Research Foundation of Wenzhou (grant no. Y20100042). - Morten Andersen has received funding from the Novo Nordisk Foundation (NNF15SA0018404). - This research is partly supported by the research program "Desentralisasi DIKTI-ITB" with contract number 310n/I1.C01/PL/2015. - The authors would like to acknowledge the financial support provided by the Brazilian funding agencies CNPq, CAPES and FAPERJ. - We thank Youwei Wang, Bin Wang, Shulin Yan and Tiansuo Zhao for excellent technical assistance. This work was supported by National Natural Science Foundation of China (30570357 and 30600238), 863 project of the Ministry of Science and Technology of China(2006AA02A110), Tianjin Municipal Science and Technology Commission, China (06YFSZSF01300 and 05YFJZJC01500). - We thank Kosuke Yusa and Graziano Martello for comments on the manuscript. We are grateful to Carla Mulas for assisting the miRNA expression plot, Yiping Zhang for lncRNA candidate prediction analysis and Rosalind Drummond for technical support. We thank Heather Lee for providing Dnmt3a and Dnmt3b siRNAs and Wolf Reik for support. We thank Nicholas Ingolia for useful discussion on lncRNA ribosomal footprinting. We also thank Peter Humphreys and Andy Riddell for technical support for imaging analysis and flow cytometry respectively. AS is supported - The authors would like to thank Dr. S. Yamagishi and Mr. Y. Takahashi for their suggestion on application of the closed vessel and supply of the sample particles. We are also indebted to Drs. T. Kondo, M. Handa and T. Ogawa for continuing guidance and encouragement. - No funding was received for this study. - The authors thank the subjects for kindly agreeing to take part in this study. C. Tur thanks Prof X. Montalban for his support and input. The MS NMR Research Unit is supported by the MS Society of Great Britain and Northern Ireland. - We thank Garrelt Mellema for a useful correspondence. This work is partially supported by the Grant-in-Aid for Scientific research from the Ministry of Education, Science, Sports, and Culture, Japan, Nos. 21111006, 22244030, 23540327 (K.K.), 23.5622 (T.S.) and 23740195(T.T.). - The authors have no relationship with the NICS apart from being the recipients of a research grant which allowed this project to be undertaken. The NICS neither controlled nor influenced the study design, data collection, analysis, interpretation, writing or submitting of the article. All authors declare that they are unaware of any real or potential conflicts of interests arising from their involvement in the research project described in this manuscript or in their roles as co-authors of the manuscript. - This work was part of a PhD project at the University of Tasmania. Scholarship support was provided to the F. H. by the University of Tasmania and an incremental scholarship by the CSIRO/UTAS Quantitative Marine Science program. The authors gratefully acknowledge Craig Johnson and Geoff Tuck for providing reviews that improved the manuscript. - the Swiss State Secretariat for Education, Research and Innovation SERI and ESA's PRODEX programme. The Polish team acknowledges Polish National Science Centre grant 2013/10 /M/ST9/00729. Czech team acknowledges GA CR grant 13-33324S. The German teams acknowledge the support of the German Space Agency-DLR and of the Max-Planck-Gesellschaft. - The authors thank Robert (Bob) and Barbara Brownlow (Ashby, New South Wales) for their hospitality and for providing access to their property so that the morphological variation within the known population of Prostanthera elisabethae could be studied in detail. Sue and Brian Phillips kindly provided photographs and additional information on the distribution of this species. Helen Conn (Picnic Point, N.S.W.) accompanied Barry Conn as a joint collector of the representative herbarium samples. We acknowledge that Trevor Wilson was supported by Australian Biological Resources Study (ABRS) grant RFL212-43. - We thank Micah Hamady for his help with the data analyses, Chris Lauber for his assistance with the laboratory analyses, and Joe Jones at Engencore for performing the sequencing. We also acknowledge members of the Fierer lab group who provided valuable comments on previous drafts of this manuscript. Funding for this work was provided by grants from the National Institutes of Health and the Howard Hughes Medical Institute to R. Knight and grants from the National Science Foundation (to N. Fierer and C. McCain), the U.S. Department of Agriculture (N. Fierer), and the National Geographic Society (N. Fierer). - Jochen Heinrichs initiated this paper when he still was with us and we are now using this opportunity to remember him. We thank Robbert Gradstein for bringing the Plagiochila loriloba case to our attention causing us to start the investigation. We also thank Fred Barrie, John Engel and Gary Merrill for helpful comments in their review. - Author identifying information: Author AH has received no research funding and has no conflicts of interest to declare. Authors MW, SDP RND have no conflicts of interest to declare. - This public health and regulatory effort would not have been possible without the FSIS Heidelberg Investigation Team, which, in addition to FSIS authors of this article, includes FSIS Office of Field Operations staff (Gregory Abreu, Abdalla Amin, Denise Caganap, Stephanie Calkins, Rebecca Christensen, Ahmed Darwish, Greg Derrick, Chloe Dixon, Maredyth Dutton, Frank Gillis, Maria Salazar, Jaclynn Scrivner, Lisa Wang, Mitchell Williams, and Eryn Worthing) who were instrumental for recall, enforcement, and sampling efforts, and the >FSIS Office of Investigations, Enforcement, and Audit staff (Gregory Fox and David Hori) who led traceback efforts, as well as the staff of the FSIS Field Laboratories, who performed the laboratory analyses for this - This work was partly supported by a Grant-in-aid for scientific Research (B) No. 09440234 and (C) No. 10640554 from the Ministry of Education, Science, Sports and Culture, Japan, and University of Tsukuba Research Projects. - The authors would like to acknowledge Dr. Henry Meissner and Dr. Linhua Zhang for providing valuable suggestions in preparing the manuscript. We also thank the Metabolomics Facility - Acknowledgments. We would like to thank Thomas Hofmann, Deepak Ajwani and the anonymous reviewers for their helpful suggestions. - The authors wish to acknowledge financial support by the EU - The authors wish to thank Deborah Salerno, for her kind support in grammar and style. - The authors are grateful for the help of Yue-Jian Wang. - We thank Mans Hulden and Aki-Juhani Kyröläinen for their assistance in analyzing Finnish errors.. This research was supported by the Natural Sciences and Engineering Research Council of Canada, and the Alberta Innovates Technology Futures. - These tests suggest that it is possible to resume the modeling and prediction of the antibubble within the second-order Landau model. - This work was supported by the National Institutes of Health (1R01GM114401 to CS and T32GM007223 to EL) and an NSF GROW award to ARC. - The authors thank D. Palaiologou, E. Staikou, and A. Stefanou for excellent technical assistance. - This work was supported in part by a National Science Foundation grant to ITAMP at the Harvard-Smithsonian Center for Astrophysics. - This work was supported by a National Project funded by the Small and Medium Business Administration, Republic of Korea (#215C000385). - We gratefully acknowledge Dr. Fabio Siviero and Roberto Cabado Modia for help in preparing some of the figures and 3D reconstructions, and Dr. Marisa Rangel for help in statistical analyses. This work was supported by the FAPESP, Fundação de Amparo a Pesquisa do Estado de Sao Paulo. - We thank all the investigators participating in the PURE- - The authors thank Monika Arens (managing director, Arewus GmbH) and Anders Rosholm, PhD, for the use of the - The authors acknowledge support by the National Institutes of Health (P01CA80124, R01CA115767, R21CA139168, M01RR01066, Federal Share/NCI Proton Beam Program Income Grants); by a Department of Defense Breast Cancer Research Innovator award (W81XWH-10-1-0016) and by an American Cancer Society Research Grant (RSG-11-073-01-TBG). - This research was supported by a grant (MT-11-CA-11420004-054) from the Forest Health Technology and Enterprise Team -Biological Control of Invasive Native and Non-Native Plants (FHTET-BCIP). We thank Megan Hofland for providing technical assistance. We thank Jon Rico, Rodrigo Silva and Carmen Bernardi, from ISCA Technologies, for overseeing and coordinating the formulation of the treatments. Field assistance was provided by Adam Cook, and Paramjit Singh Gill. We also thank Dr John Gaskin, Mary Mayer and the Bighorn National Recreation Area (BICA-2014-SCI-0002) for providing research locations. - Funding Source: Dr. Watt receives support from the United States Government for his work in pediatric research (5T32HD043029-09) Dr. Li received support from the United States Government (1U54RR023469-01) and from industry (research support from Sanofi Aventis, and Genzyme; honoraria from PTC Bio, and Daiichi Sankyo). Dr. Benjamin receives support from the United States Government for his work in pediatric and neonatal clinical pharmacology (1R01HD057956-02, 1R01FD003519-01, 1U10-HD45962-06, 1K24HD058735-01, and is the Principal Investigator of the Pediatric Trials Network, Government Contract HHSN275201000002I); the non profit - This work was supported by grants from the Hungarian National Research Foundation (OTKA T 034307). The authors wish to express thanks to M. Balog for technical assistance and M. Szabó (ICN Hungary Ltd.) for mass spectral measurements. - We thank Nicola O'Reilly (Crick Peptide Chemistry platform) for peptide synthesis; Koray Kirli and Dirk Görlich for running MRTF through their unpublished structure-based NES prediction programme; Michael Howell (Crick High Throughput Screening platform) and Graham Clark (Crick Equipment park) for technical support; Nick Totty for mass spectrometric analysis during the early stages of this project, and Bram Snijders for support; Shabaz Mohammed and Albert Heck (University of Utrecht) for access to the Orbitrap machine; and Axel Behrens, Thomas Güttler and Beric Henderson for plasmids; and members of the Signalling and Transcription group for helpful discussions and comments on the manuscript. This work was funded through core funding from CRUK to its London Research Institute until April 31st 2015, and thereafter by the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001-190) - We would like to thank Drs. Mervyn J Monteiro and Ilia V Baskakov for suggestions and discussions during the course of this study. This work is supported by grants from NSF and NIH/NIAAA to SF. - We would like to thank the people of the Ice and Climate Group of the IMAU, the reviewers, G. Wendler and R. Hock, and the Scientific Editor, R. Naruse, for numerous helpful comments made on the original draft of this paper. We are grateful to A. Souren for improving the English, and Meteo Schweiz for providing the meteorological data. - Authors are highly thankful to Adan Borunda Terrazas, Jair Marcelo Lugo Cuevas, Gregorio Vazquez Olvera, Victor Manuel Orozco Carmona, Karla Campos Venegas, Luis de la Torre Saenz, and Manuel Roman Aguirre for their generous assistance in this work. - This work was supported by the National Natural Science Foundation of China 81620108030 and Natural Science Foundation of Shanghai 15ZR1441900. - The authors appreciate all patients who provided clinical samples for this study. This work was supported by grants from the Japan Society for the Promotion of Science (KAKENHI Grant Nos. JP26290041, JP17H03584, and JP26861056), Takeda Science Foundation, the Vehicle Racing Commemorative Foundation, and a research grant from the Princess Takamatsu Cancer Research Fund. - We thank Professor R. C. Hider and L. Ding Yong (Department of Pharmacy, King's College, London, UK) for kindly providing test samples for NTBI measurement. - Acknowledgments We would like to acknowledge Monica RossMcLean for her assistance in the study. - We thank J. Donley for computing X-ray flux upper limits for the nondetections, and D. Sand for making available his reduction of the WFPC2 images. - This work was supported in part by Department of Biology, Faculty of Science, Prince of Songkla University. - The authors ackriowledge the secretarial assistance of Renee Parker. Norine Carle, RN, played an invaluable role in the project by serving as the programmed patient. - The authors thank Dimitrios Xefteris for useful discussions and the PHC Galilée G15-30 "Location models and applications in economics and political science" for financial support. Matías Núñez was supported by the center of excellence MME-DII (ANR-11-LBX-0023-01). Marco Scarsini was partially supported by PRIN 20103S5RN3 and MOE2013-T2-1-158. This author is a member of GNAMPA-INdAM. - Acknowledgements Open access funding provided by University of Vienna. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. - Supported by the Polish Ministry of Science and Higher Education, Poland, Grant N518 028 32/1769; and the Foundation for Polish Science in Domestic Grants for Young Scientists Program (ES-Z). - This book has many illustrations based on cadaver dissections. We will never know the names of the many people who donated the bodies that we (or others) photographed to convey the anatomy of the cranial nerves, but we are most grateful to these individuals for their generous donation. Haley Moon was a research/technical assistant for this book and helped in all ways including obtaining permissions to use illustrations and doing some of the artwork. We thank her very much. Lowene Stipp and Joanne Summers are thanked for the secretarial assistance they provided to develop this book. Steven Fraser drew all of the illustrations that appear as the second figure in all of the chapters and we are grateful to him for his beautiful work and for his patience with our many revisions. We thank Dr. Edward Weber for graciously providing radiologic images for us. At Wiley we thank our editor and editorial assistant, Justin Jeffryes and Stephanie Dollan, for assisting us with development and producing this book. The concluding chapter of this book contains essays from clinicians (Contributors) about their experience with the cranial nerves and we are grateful to them for the time they spent writing these amazing stories for us. Our families are much thanked for allowing us the two years we spent writing and editing this book. We are grateful to Dr. Fen-Li Chang and the Indiana University School of Medicine -Fort Wayne for hosting our meeting in Fort Wayne. We would like to thank the students we have taught and the teachers we have had for all they have done for our careers and for making us cherish learning and teaching human anatomy and its clinical relevance. Donald Black is thanked for his review of some of the initial chapters of this book. We would also like to thank Drs. Mark Hofmeyer, Blair Marshall, and David Pearle, MedStar Washington Hospital Center, who helped us appreciate the changes that the heart and esophagus undergo following transplantation in Chapter 10. Dr. Susan Stoddard provided some initial guidance in the development of this book and we appreciate her assistance. Drs. R. Shane Tubbs and Stephen W. Carmichael are thanked for discussions about the methodology involved in writing a textbook. We appreciate the help of Amy Finch with checking our text for inadvertent use of material from other sources. We are also incredibly grateful to our British copyeditor, Patricia Bateson, for improving this book way beyond our expectations. Finally, we thank our very capable and immensely helpful typesetter Revathy Kaliyamoorthy, SPi Global. - We are grateful to Jimma University for their financial support. We also acknowledge our study participants for providing the necessary information and the data collectors for collecting the data carefully. - The authors would like to thank their colleagues in the former Sonotweezers team at the Universities of Bristol, Glasgow and Southampton, UK. - This work was supported in part by NIH grant RO1NS062080 to AAH and by RO1 CA139217 to DAB. SB is supported by grants from the National Institutes of Health (RO1 CA149461), National Aeronautics and Space Administration (NNX13AI13G) and the Cancer Prevention and Research Institute of Texas (RP100644). This work was also supported by the Office of Medical Research, Departments of Veterans Affairs (RFS) and the National Institutes of Health (R01-DK63621, R01-CA134571 to RFS). - This work was supported under National Science Foundation grant with number 1229628. - The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the US Fish and Wildlife Service, the University of Pretoria, the Namibian Ministry of Environment, or the Peace Parks Foundation. - The authors thank W. Clark, J. Pearlman, J. Katzenstein, T. Peratt, and A. Wilson for stimulating discussion and reports of experimental results. This work was supported by the Defense Nuclear Agency. - This work was supported by the National Natural Science Foundation of China (81500213), the Natural Science Foundation of Sichuan Province, China (2013FZ0089), and Basic and Frontier Research Projects of Chongqing, China (tc2014jcyjA10017). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. - Paul Lesack (Data/GIS Analyst, University of British Columbia) is acknowledged for his remarkable artistic contributions and technical expertise in fulfiling our vision for the cover art associated with this manuscript: paul.lesack@ubc.ca. Dr Matthew Ramer is acknowledged for his extensive consultation regarding immunohistochemistry protocols. - The authors would like to thank the Rostron and Campion families and the Djelk Rangers in Arnhem Land. - The authors would like to thank Drs. C. Harwood. - Supported in part by the project TAMOP-4.2.2.A-11/1 KONYV-2012-0045 by the European Union, co-financed by the European Social Fund, and by a Bolyai Grant (AC). - We thank the following curators and museum collections who provided access to host bee specimens used in this study: Drs. James Liebherr (Cornell University. - This study was supported by Kadoorie Farm and Botanic Garden, Hong Kong. We are grateful to the management of Gaoligongshan National Nature Reserve, particularly the Tengchong Section, for permission to conduct fieldwork and logistics support. Special thanks to Mr. Xiang-Yuan Huang of the Nature Reserve in arranging the fieldwork; we also thank other staff and wardens of the Nature Reserve, as well as colleagues from KFBG and the Museum of Biology, Sun Yat-sen University who helped in the surveys; Prof. Yue-Zhao Wang of Chengdu Institute of Biology for permission to examine specimens of Leptolalax deposited at CIB; Jodi J.L. Rowley and two anonymous reviewers for their useful comments and suggestions. - We thank Martin Kapun and two anonymous reviewers for valuable comments on the manuscript. Many thanks to Gabriela Salinas and her team at the Transcriptome and Genome Analysis Laboratory (TAL) (University Medical Center Göttingen, UMG) for Illumina sequencing and supportive discussions. - This work has been supported by the NSF under Grant No. DMR-0703639. The author thanks E. M. Chudnovsky for useful discussions. - The authors sequence in this paper follows the "first-last-author-emphasis" norm. This research was funded by the MCINN of the Government of Spain through grants AGL2007-66716-C03-01/02 and AGL2010-21681-C03-01. - The authors would like to express their upmost gratitude to the faculties of Veterinary Medicine in both Universities of Damanhour and Kafrelsheikh who supported them throughout their study. Finally, the authors would like to express their deepest gratitude to all veterinarians and coworkers in the farms included in the study for their encouragement, patience, and support throughout the study. - Acknowledgments The study was supported by PsiOxus Therapeutics Ltd. The authors of this manuscript certify that they comply with the ethical guidelines for authorship and publishing in the Journal of Cachexia, Sarcopenia, and Muscle 2010;1:7-8 (von Haehling S, Morley JE, Coats AJ, and Anker SD). Conflict of interest Stefan D. Anker is a shareholder of, received support from, and is a consultant for PsiOxus Therapeutics Ltd. Andrew J.S. Coats is a shareholder of, received support from, and is a consultant for PsiOxus Therapeutics Ltd. and receives honoraria from CSL Biotherapies. Jochen Springer received support from and is a consultant for PsiOxus Therapeutics Ltd. John Beadle is a shareholder, employee, and board director of PsiOxus Therapeutics Ltd. Stefan D. Anker, John Beadle, Andrew J.S. Coats, and Jochen Springer have filed a patent on the use of espindolol in sarcopenia (WO002010125348A1). Anika Tschirner, Sandra Palus, Stephan von Haehling, and Wolfram Doehner report no conflict of interest. - The work was carried out as part of the research project Strengthening human resources for health: A study of health worker availability and performance in Tanzania (project number 171822/S50) funded by the Programme for Global Health and Vaccination Research (GLOBVAC) in the Research Council of Norway. The main funding of this particular work has been made available by the University of Bergen, Norway. We would like to thank all the health workers participating in the research as well as the hospital and district management for their collaboration and assistance. Marcell K. A. Amri provided invaluable help in the translation of the recorded material from Swahili to English. the research group "Global Health: Ethics, Economics and Culture" at the University of Bergen provided useful comments on an early draft of the article. The authors declare that they have no competing interests. - The authors would like to acknowledge Rosanne Harrigan, EdD, APRN-Rx, for her assistance with study concept and design. - We appreciate the statistical assistance of Dr. Gordon G. Brown from RTI International. None of the authors have potential conflicts of interest to disclose. This study was supported by G62024 Interdisciplinary Research Grant from the University of North Texas Health Science Center at Fort Worth. - The authors would like to acknowledge Ghazala Perveen for her work in designing and overseeing data collection for the Kansas Behavioral Risk Factor Surveillance System; Ginger Taylor - The authors are grateful to Agilent (now Keysight) Technologies and Microlease for their generous donations of hardware equipment and software computer-aided design tools in support of the research activities carried out at the Marconi Lab established and led by Professor Domenico Zito. This work was supported by the Science Foundation - This work was supported by a grant from the National Institutes of Health, NS 31271. The W.M. Keck Foundation and the Pasarow family provided some funding for mass spectrometer purchase. - The authors would like to thank Editage (www.editage.jp) for English language editing. - N.R. thanks A. Rowlinson, B. Metzger, R. Margutti, B. Zhang, S. Dall'Osso, A. Soderberg, R. Wijers, A. MacFayden - We thank Professor Nikolas Haass and Professor Brian Gabrielli for providing the melanoma cell lines, WM35 and SK-MEL-28. We also thank the anonymous referees for their helpful suggestions and comments. - This work was supported by a Nanyang Assistant Professorship. We thank the High Performance Computing Centre at Nanyang Technological University for computer resources. - Funding: Fermilab is operated by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy. I would like to express my gratitude to the many people I have consulted on the material to include in this review. First and foremost, I am eternally grateful to John Harvey, former leader of the software group at CERN, who initially asked me a few questions about the impact of simulation in experimental particle physics, eventually encouraged me to write this article, and was the first person to read and comment on a draft. I am also grateful to my Geant4 co-collaborators who built on previous Geant experience and developed - We thank Drs. Fred Bogott at Austin Medical Center, Austin of Minnesota, and D. Joshua Liao at Hormel Institute, University of Minnesota, Austin of Minnesota, USA, for their English editing of the manuscript. - This study was supported partly by National Natural Science Foundation of China (No. 81172495). Michael R. Hamblin was supported by US NIH grant R01AI050875. - We would like to thank the BYU Select Agent Archive for providing biological specimens. We thank the GW Colonial One computing cluster for compute time for these analyses. - Acknowledgements-The author would like to acknowledge the help and direction ofD. W. Collinson, A. Stephenson and D. K. Potter. The sample of Millbillillie was generously donated by Allan Langheinrich, of Lang's Fossils. Some ofthe equipment used (the computer controlled furnace) was built by A. Warren. The author is funded by a post-doctoral research grant from the S.E.R.C. Editorial handling: D. W. G. Sears. - Grant sponsor: National Institutes of Health; grant numbers: NIH Z01-HL004608-06 and NIH Z01-HL005062-04. We thank Victor J. Wright, William H. Schenke, and Laurie P. Grant for technical and clinical assistance, Peter Kellman for the development of the phased-array surface coil, and Smita Sampath for high-resolution inner-volume MRI. We also thank Christine Lorenz and Frank Sauer (Siemens Corporate Research, Princeton, USA), Johann Seissl, Marcus Pfister, Killmann Reinmar, Jan Boese and Klaus Klingenbeck-Regn (Siemens AG, Med AX, Forchheim, Germany). - The author is grateful to Professor Renato Lancellotta for his critical examination of this paper. - This work was partly performed in the frame of the following research projects: PHB 2003-0043-PC, financed by CAPES (Brazil) and MEC (Spain) and CGL2005-08219-C02/HID financed by I+D National Program on Biodiversity Earth Sciences and Global Change (CGL), subprogram HID of MEC (Spain). - Acknowledgments. This work was supported by grant MCT/CNPq/CT-INFO 551031/2007-7. - The authors thank the patients and their families who enrolled in this trial. We would like to acknowledge laboratory personnel who conducted all of the urine specimen preparation and shipment (for chlamydia, gonorrhea, and CMV sub-studies), Bonnie Ank, Mary Ann Hausner, and Jessica Liu. We also thank Marita McDonough and Lauren Petrella from Boehringer Ingelheim Pharmaceuticals and Helen Watson from GlaxoSmithKline (on behalf of ViiV Healthcare) for assistance with the donation of study drugs from their respective companies for the conduct of the parent study. - The authors are gratefully acknowledging the financial support of department of pharmacognosy, college of pharmacy, Hawler Medical University. - We thank Dr. Toshiteru Okubo (Chairperson of Industrial Health Foundation) for scientific advice on the conduct of the J-ECOH Study; and Rika Osawa (National Center for Global Health and Medicine) for administrative support. - The study was supported by the financial The National Council for Scientific and Technological Development (CNPq) (scholarship). This study was developed Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, Brazil (technical support) and CAPES (finantial support for printing). - The following reagents were obtained through the AIDS Reagent Program, Division of AIDS, NIAID, NIH: Human rIL-2 from Dr. Maurice Gately, Hoffmann -La Roche Inc. and SIVmac p27 Monoclonal Antibody (55-2F12) from Dr. Niels Pedersen. We thank the WNPRC Immunology Services and Virology Services for experimental assistant and members of the WNPRC Animal Care, SPI, and Pathology units for NHP care and experimental manipulation. We also thank Dr Roberto Bugarini of Pfizer Inc for reviewing the statistical analyses. - Acknowledgements. We thank the anonymous referees for their constructive criticisms, Régis Lachaume for the WFI observations, and Mara Salvato and Ivan Baldry for helpful discussions. Part of the funding for GROND (both hardware as well as personnel) was generously granted from the Leibniz-Prize to Prof. G. Hasinger (DFG grant HA 1850/28-1) - Study funded by a grant NR010711 (DeVito Dabbs, PI) from the National Institute of Nursing Research. - [42] Acknowledgments. This project was supported by NSF grants EAR-9417939 and EAR-9725371 (to E. L. Miller and T. A. Dumitru), Caltech postdoctoral fellowship to D. Stockli, and a Packard fellowship to K. Farley. We would like to thank E. Miller, M. McWilliams, J. Dilles, J. Oldow, and S. Klemperer for stimulating discussions and helpful insights, and B. Wernicke and P. Armstrong for improving the final version of the manuscript. - We thank members of the Hirano laboratory for critically reading the manuscript, A. Lehmann for his comments on Table 1 , and many colleagues in the field for stimulating discussions. Work in the authors' laboratories is supported by grants from the Spanish Ministry of Science and Education and Fundación Caja Madrid (to A.L.) and from the National Institutes of Health (to T.H.). - The authors wish to thank Dr. J. Kaufman (ASI, Israel) for spectral imaging support, Dr. E. Martini (University Maastricht, The Netherlands) for multi-color staining of sperm specimens, and S.Wienk (UMC Nijmegen, The Netherlands) for preparing and staining of cervical AgarCyto specimens. This work was supported in part by grant 97-1486 from the Dutch Cancer Society. - The authors acknowledge the financial support in general and instruments facilities by 1. Department of Science and TechnologyScience and Engineering Research Board (DST). - The authors would like to thank Zebin Xiao, Shihong Li, Dongfang Tang for for critically reviewing the manuscript. - We thank Professor Patrick Hogan (La Jolla Institute for Allergy and Immunology, San Diego) for useful discussions on the manuscript, Balaji Ramalingam for MATLAB codes, Dhruv Raina (inStem) for help with MATLAB analysis of particle intensities, Dr Richa Rikhy (IISER, Pune) for fly strains, NCBS Central Imaging and Flow cytometry Facility (CIFF) for confocal and super-resolution imaging, Suparno Gupta for help with SIM imaging and the Fly Facility, NCBS for generating transgenic fly lines. B.K.D. and T.P. are supported by research fellowships from the Council of Scientific and Industrial research (CSIR), Government of India. This research was funded by core grants from NCBS, TIFR. - We thank Y Cai, F Diaz-Benjumea, C Doe, M Noll, G Mardon, T Shirangi, and S Thor for fly strains. We thank S Carroll, C Doe, J Skeath, U Walldorf, and E Wieschaus for antibodies. We are grateful to G Rubin for split-GAL4 strains and B Dickson, T Lee, and B Pfeiffer for sharing reagents before publication. We thank D Miller, C Robinett, M Texada, I Siwanowicz and J Etheredge for helpful comments on this manuscript. We are indebted to T Laverty, K Hibbard, A Cavallaro and the Janelia Fly Core for fly husbandry, and A Howard for administrative support. This research is supported by HHMI. - We are grateful R. Brinkmann - We are grateful to members of the Immunobiology of Inflammation lab for discussions and Carlos Ardavín for critical reading of the manuscript. We thank the CNIC Cellomics - All praise and gratitude is to Allah. We also would like to thank everyone who gave us hand in writing this article. - The authors are thankful to the Director, ICAR National Dairy Research Institute (Karnal, Haryana, India), the Registrar, Haryana Veterinary Council (Panchkula, Haryana, India), and Deputy Director, Intensive Cattle Project (Karnal, Haryana, India) for providing the necessary facilities to conduct this research work. The authors did not receive any external fund for this study. - [14] Acknowledgments. We are grateful to T. Yasunari of the Frontier Research Center for Global Change for discussing our study. The reanalysis data was provided by the National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR). AMeDAS and typhoon track data are provided by the Japan Meteorological Agency (JMA). This work was also supported by a Grantin-Aid for Scientific Research (17310003) by the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan. - We thank Jianling Deng and Jiang Jiang for their exceptional technical assistance. - This work was supported by grants from the Department of Defense and National Cancer Institute (W81XWH-10-1-0289 and 5R21CA173190-02 to C. Crum). The authors thank the Division of Gynecologic Oncology at Brigham and Women's Hospital and Dana Farber Cancer Institute for their contribution to the study, and Mei Zheng for assistance with the immunohistochemistry. We are also grateful for the support of this work by the Genome Institute of Singapore of the Agency for Science, Technology and Research and Bedside and Bench Grant from Singapore National Medical Research Council. - The authors would like to acknowledge managerial support from Brian MacIver, (U.S. Army Edgewood Chemical Biological Center; Aberdeen Proving Ground, MD), and James Horton, Lucille Forrest, and William Adams (U.S. Army Chemical Materials Activity; Aberdeen Proving Ground, MD). The authors are grateful for useful discussions with W. Venner Saul (Sandia National Laboratories; Albuquerque, NM). - HMGB1 research in the authors' laboratories is supported by the Karolinska University Hospital, the Karolinska Institutet, and the Swedish Research Council (U. Andersson) and by the National Institutes of General Medical Sciences (K.J. Tracey). - The authors thank the following staff who participated in this trial. - The authors would like to thank all the patients who have participated in the UKPSSR and the cardiovascular risks substudy. - We thank Elisabeth Dirnberger, Manuel Magerle, Orsolya Rajky, Benjamin Prascher and Cansu Ilhan for excellent technical assistance. The costs for this project were covered by the research budget of the Medical University of Vienna and the grants "Initiative Krebsforschung" with the project title "Tumorimmunologie von Hirnmetastasen" and "Hochschuljubul€ aumsstiftung" with the project title "Das Immunsystem im Kampf gegen Krebs." BM, GB, AB and the work were supported by grants from the National Cancer Institute of France (INCa), INSERM, the Cancer research for personalized medicine (CARPEM), Paris Alliance of Cancer Research Institutes (PACRI), and the LabEx Immuno-oncology. - This study was supported by Polish Scientific Research Committee, PB-0297-P4-92-03. - We thank INVEMAR's researchers, especially Efraín Viloria, Diana Bustos and Myriam Vargas, for providing outstanding support for this research. Special thanks to Diana Bustos, Michael Ahrens and Guillermo Rudas for their valuable support for the indicators' design. Guiying Li was generous to generate a map of the area for us, we are grateful to her. We appreciate very much the comments from Mauricio José Cortes, Luz Karine Ardila and Camilo José Torres on an early version of this manuscript. We are grateful to CGSM fishers, in particular fishers from Tasajera, without whose help this research would not have been possible. We would like to express our gratitude to INVEMAR's field assistants in CGSM, in particular Vladimir Carbonó for his valuable and constant support. Likewise, we want to thank Rubén Vásquez and Alexander Acuña for all of their assistance in the field when we conducted the survey. Special recognition is given to Mabelin Villareal and Dora Suárez for their statistical support. We value the editing work done by Joanna Broderick and Jim McMillan. - This work is supported by the Spanish Ministerio de Educacion y Cultura research grant. - This work was supported by grants from the National Space Biomedical Research Institute (NASA NCC 9-58, MA02701, and PF04101), from the National Aeronautics and Space Administration (NASA; NNX11AR02G) and NASA Flight Analogs Project, and the National Institutes of Health, and National Center for Advancing Translational Sciences, 1UL1RR029876-01 and NIH P41 EB015902. We thank J. Krauhs and M.J. Rosenberg for editorial assistance. - We thank useful discussions with Sebastiano de Franciscis and Samuel Johnson. - The Public Health Agency of Canada and Health Canada funded Cycle 6 of the Health Behaviour in School-Aged Children Survey in Canada. Additional support for this analysis included an operating grant from the Canadian Institutes of Health Research (CIHR Grant FRN-130379).The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. International coordinator of the HBSC survey is Dr. Candace Currie, University of St. Andrews, Scotland. The international databank manager is Dr. Oddrun Samdal, University of Bergen, Norway. The Canadian principal investigators of HBSC are Drs. John Freeman and William Pickett, Queen's University, and its national coordinator is Matthew King. - We are grateful to Steffen Frey for sharing plasmids and protein preparations. We thank Jürgen Schünemann for preparative HPLC purification of FG domains, as well as for performing the hexanediol experiment ( Figure 12 ) and additional experiments requested by reviewers. We further thank Kevser Gencalp for bacteria with expressed insoluble actin, Indronil Chaudhuri for purified human Importin β, Michael Ridders for the yeast Importin β and Koray Kirli for the transportin expression constructs, Bastian Hülsmann and Steffen Frey for critical reading of the manuscript, as well as the Max-Planck-Gesellschaft for funding. - This work was supported by China's NSFC grants (81027004, 81372082, 30571922) to JW and GL, "863" grants (2012AA020504) to JW. Also we sincerely thank Jianjie Ma for selfless assistance to this work. - We would like to thank R Stillion and the Kennedy Institute of Rheumatology histology department for histology, and the staff of our animal houses for their assistance; S Kirchberger, M Hü hn, A Hegazy, A Chauveau, and T Arnon for technical advice and discussion; C Lagerholm and the Wolfson Imaging Centre for microscopy assistance; B Owens and C Arancibia for critically reading the manuscript; W Ouyang (Genentech) for the blocking anti-IL-22 antibody and isotype controls; UCB Celltech for providing the blocking anti-IL-17 antibody; D Cua (Merck) for providing the blocking anti-IL-23R antibody. We acknowledge the contribution to this study made by the Oxford Centre for Histopathology Research and the Oxford Radcliffe Biobank, which are supported by the NIHR Oxford Biomedical Research Centre. We would like to thank all patients and investigators who contributed to the Oxford IBD cohort study and the Oxford GI Biobank. - Acknowledgments. This work has been supported by Project MTM2008-03010 of the Spanish Ministry of Science and Innovation and the IAP network StUDyS (Developing crucial Statistical methods for Understanding major complex Dynamic Systems in natural, biomedical and social sciences) of the Belgian Science Policy. - Yuval Mazor would like to thank Ofer Rog for critically reading the manuscript. The authors would like to thank the ESRF, SLS and BESSYII synchrotrons for beam time and the staff scientists for excellent guide and assistance. - The research of the second author was partially supported by FONDECYT 1080015 and CONICYT ACT 56. This author also extends her thanks to the Department of Mathematics and Computer Science of Wesleyan University for their hospitality during her visits funded by the Van Vleck Research Fund. The third author would like to thank Universidad de Talca in Chile for their generous hospitality during three visits in 2009. The authors thank Roberto Miatello and Takao Watanabe for their helpful comments and discussion. - We would like to thank David Hines of the Johns Hopkins University Rheumatic Disease Research Core Center for technical contributions in performing the PAD-4 immunoprecipitations, as well as Kristin Braschler for her work in sample processing for antibody tests at the University of Colorado Division of Rheumatology Clinical Research Laboratory. - The authors acknowledge the financial support by Kazato Foundation, Japan and the material supply from Nikko Metals Co. Ltd. Japan. - Kathleen McGarry gratefully acknowledges financial support from the National Institute of Aging. Comments by Alan Auerbach, Jim Poterba, conference participants, and an anonymous referee are greatly appreciated. - This work was supported by Deutsche Forschungsgemeinschaft within the Center for Functional Nanostructures. - This work was supported in part by the RFBR grants 14-02-93960, 16-02-00693. This work was performed in part within the framework of the Center Fundamental Research and Particle Physics supported by MEPhI Academic Excellence Project (contract № 02.а03.21.0005, 27.08.2013). - Acknowledgments. We thank Thomas Sturm for advise in using redlog. - This study was supported by the 'Research Program for Agricultural Science & Technology Development (project no. PJ011248)' of the National Institute of Agricultural Science, Rural Development Administration, Republic of Korea. The authors would like to thank Heather Walker of the National Center for Agricultural Utilization Research, Peoria, IL, USA for expert technical assistance. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the US Department of Agriculture. The mention of firm names or trade products does not imply that they are endorsed or recommended by the USDA over other firms or similar products not mentioned. USDA is an equal opportunity provider and employer. - This study was supported by a grant (ARC DP0211698) to B. Gillam. - We wish to thank M. Carena - The authors thank Ke Li for creating the figures. We acknowledge the modeling groups, the Program for Climate Model - We thank Southwest University (SWUB2006018, XSGX0602 and SWUF2007023) and the Natural Science Foundation of Chongqing (2007BB5369) for financial support. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: LH5016). - Research for providing mobile laboratory data. Thank you to CDPHE for providing surface O 3 data. The authors gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the HYSPLIT transport and dispersion model used in this publication. The reviewers of the manuscript provided detailed and insightful comments that significantly improved the manuscript. - [56] Acknowledgments. Satellite data were taken from the v1.0 LIS/OTD gridded climatology provided by the Global Hydrology Resource Center, NASA, USA. The CIGRE-500 lightning flash counter registration data were provided by the Observations and Engineering Branch, Australian Bureau of Meteorology. The calibrations of CIGRE-500 lightning flash counter installations were carried out using funds provided to the University of Queensland by several members of the Energy Supply Association of Australia. The analyses of both CIGRE 500 and CGR3 LFCs were also supported by Lightning and Transient Protection Pty Ltd. G. de Hoedt and S. Chitty, National Climate Centre, Australian Bureau of Meteorology, helped with the mapping process. - Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. - Syracuse, New York USA doi:10.7863/ultra.32.6.1063 - This work was supported by National Natural Science Foundation of China (No. 31270952, 81102217). - This work was financially supported by the National Natural Science Foundation (31370700), National Natural Science Youth Fund Project (41301096). - We are grateful to Axelle Grelard for assistance and help with NMR and Bernard Desbat for discussions with respect to ATR (Universite´Bordeaux 1-ENITAB, France). Go¨ran Lindblom, Lennart Johansson and Eric Rosenbaum are thanked for all their support (Umea University). This work was supported by Knut and Alice Wallenberg Foundation, Swedish Research Council, Umea University Biotechnology Fund and the Centre National de la Recherche Scientifique (CNRS). The Aquitaine region is acknowledged for providing funding for equipment. the Universities of Bordeaux 1 and Umea are acknowledged for setting up a co-tutoring PhD program. - We thank Pierre Demarque, Terrence Girard, and William van Altena for helpful comments on the manuscript. We are grateful to Tim de Zeeuw and Jos de Bruijne for their quick check of our findings in the nearby OB association database. We also thank Jean-Claude Mermilliod for sharing the radial velocity data prior to their publication. This study has been supported in part by grants from the National Science Foundation to Yale University and the Yale Southern Observatory, Inc. This research has made use of the Simbad database operated at CDS, Strasbourg, France. - The authors thank Dr St. N aef-Roth for his kindness in donating a sample of lycomarasmin, Mr A. C. Glenday for statistical analysis, and Mrs M. E. Carruthers for painstaking assistance. - I would like to acknowledge my collaborators in much of this work. They are (in alphabetical order) Okkie De Jager, Sheldon Glashow, Matthew Malkan and Michael Salamon. - The authors gratefully thank to the financial support from the National Basic Research Program (2004 CB 117504) and Beijing Key Technologies of R & D Program Fund. - The authors thank Professor Peter Klü fers for generous allocation of diffractometer time. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: DS2011). - The authors would like to thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES-Brazil) and Conselho Nacional de Pesquisa (CNPq-Brazil) for financial support and all volunteers for their participation in this project. - This investigation was supported in part by the Research Project Grant of the Kawasaki Medical School (50-505 and 51-508). - We thank Jeannine Rampal for her generous donation of the "Precious Samples", the Service d'Observation Rade de Villefranche and the Service d'Observation en Milieu Littoral (SOMLIT/ CNRS-INSU) for their kind permission to use the Point B data. We thank Aradhna Tripati (UCLA) for her input in the early stage of this study and Kristina Wilson, Vanessa Brillo, and Tanya Conchas (UCLA) for assistance with CT scanning. We also thank Rebecca Rudolph and Javier Santillan (GE technologies) and Jeremy Boyce (UCLA) for assistance with CT project design and data analysis. RAE acknowledges support from National Science Foundation grant OCE-1437166. We also thank the Service National d'Analyse des Paramètres Océaniques du CO 2 for performing the analyses of the carbonate system. Sabine Gerber and Archishman Sarkar for their help in the lab and Jean-Olivier Irisson and Caroline Assailly for their work on pH hindcasting. This work is a contribution to the European Union, Framework 7 'Mediterranean Sea Acidification under a changing climate' project (MedSeA; grant agreement 265103). - The authors would like to thank Dr. Hiroyuki Yamamoto (JAMSTEC) who served as the chief scientist of research cruise KR15-17. The authors greatly appreciate the tireless support from the captain and crew members of R/V Kairei, the technical team of ROV Kaiko, as well as all scientists on-board during the research cruise. - The authors also would like to thank physicians, other staff, and the participants of the current study. - We thank Julia Föcker for providing us with the paradigm. We are grateful to all participants for taking part in the study and to Dr. Angelika Illg, for her help in recruiting CI users. - The author acknowledges the support by the Generalitat Valenciana (GV) through the MoEDAL supporting agreement CON.21.2017-09.02.03 and by the Spanish MINEICO under the project FPA2015-65652-C4-1-R. This work is also supported by the Severo Ochoa Excellence Centre Project SEV-2014-0398. - Support of this work by the Deutsche Forschungsgemeinschaft and the Fonds der Chemischen Industrie is gratefully acknowledged. - This research was funded by grants R43CA150496-01 and R44CA132347-02 from the National Cancer Institute, as well as grant #RSGT-10-082-01-CPHPS from the American Cancer Society. The views stated in this publication are those of the authors and do not necessarily represent the official views of the NCI and ACS. - This research was financed by the European Union as ACE project P98-1082R. We like to thank all participants of this project for their help and their stimulating comments on conferences in Tallinn, Poznan, and Groningen. Part of this research was done while De Haan was visiting scholar at the Netherlands Bank. - The authors would like to thank the Kyushu Branch of the Japan Allergy Foundation. - We thank Dr. G. Heymann for collecting the single-crystal data. This work was financially supported by the Deutsche Forschungsgemeinschaft (HU 966/2-3) and the Fonds der Chemischen Industrie. - The authors are grateful to Dr Sara Davies and two anonymous reviewers for valuable comments on an earlier version of this paper. John Bachtler acknowledges support from the EoRPA Consortium (see Footnote 1) and the contributions to the EoRPA research from colleagues at the European Policies Research Centre. Iain Begg acknowledges support from the Firstrun project funded under the European Commission's Horizon 2020 programme (grant 649261). The usual disclaimer applies. - We thank Caroline Simpson for editing this manuscript and two anymous reviewers for the helpful suggestions. Jan Klimaszewski (NRCan, CFS -Laurentian Forestry Centre, Ste-Foy, Quebec), Greg Pohl, and David Langor (NRCan, CFS -Northern Forestry Centre, Edmonton, Alberta) revised the first draft of this manuscript and provided very useful comments. Anthony Davies (Agriculture and Agri-Food Canada (CNC), Ottawa) is thanked for supplying records, determining specimens, and other assistance with this project. We thank Stephen Clayden and David Malloch (New Brunswick Museum) for assistance with determining mushroom species. Nichole Brawn, Katie Burgess, Jim Edsall, Marie-Andrée Giguère, Aaron Fairweather, Graham Forbes, Nancy Harn, Cory Hughes, Rob Johns, Ervin Kovacs, Marsell Laity, Colin MacKay, Wayne MacKay, Jessica Price, Michelle Roy, Martin Turgeon, and Vincent Webster are thanked for technical assistance and collecting specimens. Martin Turgeon is thanked for assistance in locating collecting sites in northwestern New Brunswick. We thank Natural Resources Canada Canadian Forest Service; the Canadian Food Inspection Agency; and USDA APHIS for funding the Lindgren funnel trapping component of this study. The Canadian Wildlife Service is thanked for funding insect surveys at the Shepody National Wildlife Area, the New Brunswick Environmental Trust Fund. - The paper was supported by National Science Foundation of China (NSFC 61473236), and Jiangsu University Natural Science Research Programme (14KJB520037). - [46] Acknowledgments. This work was supported in part by grants from the NSF Atmospheric Chemistry Program, NSF grant Atm-0002698, and the NASA GTE and ACMAP programs. The work at NCAR was supported by Electric Power Research Institute (EPRI), grant P-2044. We would like to thank Gakuji Kurata for his support in the analysis and thank James Schauer and Chris Babiarz for their providing Hg data for Gosan. - We would like acknowledge Dr. Vazhaikkurichi Rajendran in the Biochemistry Department at West Virginia University for the assistance and expertise during the CRLS activity assay experimentation. - Acknowledgments. We acknowledge the international modeling groups for providing their data for analysis. - We thank Ing-Marie Nilsson, Margareta Verdrengh and Lena Svensson for excellent technical assistance. This work was supported by grants from the Gothenburg Medical Society, the Swedish Association against Rheumatism, the King Gustaf V 80 Years Foundation, the Nanna Svartz Foundation, the Swedish Medical Research Council, the Börje Dahlin Foundation, the University of Gothenburg, and the A-G Crafoord Foundation. - This work stems, in part, from the work conducted during my Master's thesis at South Dakota School of Mines & Technology, and as such I would like to thank the people and institutions which helped facilitate its completion. Firstly, Master's committee members Dr. Darrin Pagnac (major advisor), and Dr. Clint Boyd. Secondly, the following people provided access to, and assistance with, the specimens examined during the course of this study: - RHN acknowledges financial support from Swedish Research Council of Environment, Agricultural Sciences, and Spatial Planning (FORMAS, 215-2011-498). - We are grateful for support from the Wellcome Trust and the Muscular Dystrophy Group of Great Britain. - Acknowledgements NJD would like to acknowledge support from the Leukemia Lymphoma Society and the National Institutes of Health. - Support for this study was provided by the National Institute on Drug Abuse (Rockville, MD) R01 DA015434 (Shelly Greenfield) and K24 DA019855 (Shelly Greenfield). p < .001 Note: The Rate/hour summary data for WRG and GDC are based on unadjusted means. The Adjusted Relative Rate of statements controls for the number of participants in group and the therapist. - The author is indebted to all those who contributed observations, and to Mr. A. Corder for the photographs. - We would like to thank Victoria Rich and Poppy Bass of the Hospital of the University of Pennsylvania and Erin Sparnon from ECRI for their help. Without the assistance of domain experts and clinical practitioners this work would not have been possible. - Acknowledgment. The authors would like to thank Sriram Sankaranarayanan, Enea Zaffanella and anonymous reviewers for their valuable comments on an earlier draft of this work. - Funding NIH (SL) -NICHD HD072929 and Dr Henry C and Bertha H Buswell Fellowship grant (PC). - This study was supported by a grant of the Korea Healthcare Technology R & D Project, Ministry for Health and Welfare, Republic of Korea (HI10C2020). - ACKNOWLEDGEMENTS Sasa Savic would like to thank Victoria University for offering the Research Training Scheme (RTS) for his PhD study. - This work benefited from an Action de Recherche Concertée of the Communauté française de Belgique. - This work was supported in part by the Helsinki University Central Hospital and the Finnish Academy of Sciences. - We thank Richard Butler for his support on the confocal imaging analysis, Charles Bradshaw for bioinformatic support, Todd S Macfarlan and Samuel L Pfaff for the 2C::tdTomato ESCs. We also thank members of the Surani lab for their critical input and helpful discussions on this project. The work was funded by a studentship to YH from the James Baird Fund, University of Cambridge, by the DGIST Start-up Fund of the Ministry of Science, ICT and Future Planning to JKK, by a core grant from EMBL and CRUK to JCM, by a Wellcome Trust Senior Investigator Award to MAS, and by a core grant from the Wellcome Trust and Cancer Research UK to the Gurdon Institute. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - The authors would like to thank Erik Wong for his advice and input with statistical analysis. The authors would also like to thank GPs and patients who took part in the project. Stewart Mercer was supported by a Senior Primary Care Researcher Fellowship from the Chief Scientist Office (CSO) of the Scottish Government during the undertaking of this project. - We would like to thank Dr Lisa Fazio for polysomnographic data acquisition. This work was supported in part by the Swiss National Science Foundation (#PP00P2-123438, DVDV) and in part by the CIBM (JR). - The authors would like to thank Valentin Lang for his contributions to early drafts of this chapter, and Friederike Rühmann for her valuable background research. - The authors acknowledge the support of the Economic and Social Research Council (ESRC) (grant number RES-062-23-2745). The authors also acknowledge the support of the Nuffield Foundation for grant numbers AT251 [OD], DIR/28, EDU 8366 and EDU 32083, and the Wellcome Trust for grant numbers 060774, which supported the data collection of the Manchester Language Study. The authors thank all the families who have participated in the study and the research assistants who helped with data collection. - The authors would like to acknowledge the support of Science Foundation Ireland (SFI) in funding this work through a research project ITOBO (398-CRP). - The authors would like to thank Drs. Wesley Gruber, N Carolyn Schanen and David Sulzer for helpful discussions. Additionally, the authors would like to thank Drs. Vernice Jackson-Lewis, Nikolai Kholodilov, and Mikako Sakurai for technical assistance, and the RLPDRD staff for administrative support. - Laura Hosman is an Assistant Professor at Illinois Institute of Technology, in the Department of Social Sciences. She was recently a Ciriacy-Wantrup Postdoctoral Fellow in Natural Resource Economics and Political Economy at the University of California, Berkeley. Her work focuses on sustainable development issues, particularly in the areas of information and communications technology (ICT) and natural resources. Her work can be found in various disciplinary and multidisciplinary journals. - We thank Ludovic Cacheux for help with imaging experiments and data analysis, Dmitri Bryzgalov and Simon Daste for help with data analysis, Yves Dupraz for his work on the in vivo imaging set-up, and Jérémie Teillon and Philippe Mailly for help with imaging and imaging data pre-processing. We thank Kevin Bolding, Thomas Preat, Andreas Schaefer, German Sumbre and Jonathan Touboul for critical comments of the manuscript. This work was supported by a Marie Curie International Reintegration grant (IRG 276869), and the 'Amorç age de jeunes é quipes' program (AJE201106) of the Fondation pour la Recherche Médicale (to AF), an EMBO short term fellowship (ASTF 395-2014) and a postdoctoral fellowship by the LabEx 'MemoLife' (to BR), by grants from the NIDCD (DC009839 and DC015525) to KMF), grants from the Agence Nationale pour la Recherche (ANR 'SENSEMAKER'), the Marie Curie Program (CIG 334581), and the International Human Frontier Science Program Organization (CDA-0064-2015) (to BB). Fondation pour la Recherche Médicale - This work was supported by National Institutes of Health Grant 2RO1-GM061893 to DJS. and US National Science Foundation Grant no.1050602 from the Division of Molecular and Cellular Biosciences to KI LGLR is a recipient of a Postdoctoral Fellowship from the Natural Sciences and Engineering Research Council of Canada. We would like to thank Joshua Endow for providing expert technical assistance, and Dr. Takehito Inaba for providing the atToc75 antisera. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - Acknowledgments The authors would like to thank Ministry of Science and Technology of the Republic of China, Taiwan, for financial support (103-2511-S-008-009-MY3, 101-2511-S-008-016-MY3, 103-2811-S-008-001), and Research Center for Science and Technology for Learning, National Central University, Taiwan. The authors would also like to thank Winston M.C. Wu, Yi-ju Lin, Tzu-Chao Chien, Chih-Ting Chang, and Po-Shu Chen for their assistance during the data collection processes. - We express our sincere gratitude to Shawi community members in Balsapuerto district including authorities and research assistants for guiding us through their territory and nuances of Validation: Guillermo Lancha. - We are grateful to the Director CSIR-CDRI for providing excellent research facilities at Central Drug Research Institute, Lucknow. Ministry of Earth Sciences, Government of India, New Delhi is acknowledged for financial support. One of the authors (VL) is thankful to the Head-HRDG-CSIR for financial support in the form of Emeritus Scientistship, which enabled to compile the research work. The authors also wish to thank to Dr. M. N. Srivastava, Scientist, Central Drug Research Institute, Lucknow, India for collection of the marine samples. - The skillful technical assistance of M. Fernandez and the expertise of A. Castro (SAI, Universidade da Coruña, Spain) in overall electron microscopy methodology are gratefully acknowledged. We also wish to thank I. Lasa (Instituto de Agrobiotecnolog ıa-CSIC-Universidad Publica de Navarra, Spain) for kindly providing S. aureus 132, S. aureus 132 Dspa and pMAD vector. Additionally, we thank T.J. Foster (Trinity College Dublin, Ireland) for E. coli DH10b, F. DeLeo (National Institute of Allergy and Infectious Diseases, USA) for S. aureus FPR3757-USA300 LAC and J.R. Fitzgerald (University of Edinburgh, Scotland, UK) for S. aureus RF122, ED133 and ED98. - We are rateful to Dr T S Sheu for providing Sc-and In-sta%ilized zirconia a n f to Mr. T.Y. Sya; for performing Auger microanalysis. - This research was supported by the Natural Science Foundation of P. R. China (No.51075192), National key projects of P. R. China (2013ZX04009031) and A Project Funded by the Suzhou City key laboratory of elevator safety technology. - We thank Zorka Papadopolos for many helpful discussions. - Editor and a referee, which significantly improved the final presentation of the paper. The authors gratefully acknowledge the very careful reading of the manuscript by an Associate - We thank Anoop R. Damodaran and Robert B. Gennis for helpful comments and critics on the manuscript. We also thank Parisa Hosseinzadeh, Madeline R. Sponholtz and Sudharsan Dwaraknath for help with various aspects of data collection and analysis. We thank Stanford Synchrotron Radiation Lightsource and Stanford Linear Accelerator for use of their facilities. This material is based upon work supported by the U.S. National Institutes of Health under Award NIH R01GM06211 (to Y.L.), NIH R01GM074785 (to P.M.L.) and U.S. National Science Foundation Award NSF CHE-1300912 (to Y.Z.). - We thank all the patients for their participation in this study. - AAM and CNR wrote the paper. AAM was supported for this work by a Clinician Scientist Award from the Johns Hopkins University School of Medicine. CNR was supported for this work by the American Society for Hematology Scholars Award, and NIH grant DK082722. The authors would also like to thank the members of the Partnership for Anaemia Clinical and Translational Trials in the Elderly (PACTTE) for their leadership and thoughtful discussions in regard to the problem of unexplained anaemia. - We acknowledge Andrea Martin, Jonathan Cook, and Kai-Ting Huang, and our study participants for their assistance in the research. This research has been funded in part by the University of Washington Innovation Research Award, the Intel Science and Technology Center for Pervasive Computing, Nokia Research. - This work was partially supported by JSPS KAKENHI Grant nos. 23-8189 and 25293258, and the research fund by Varian Medical Systems, Palo Alto, CA, USA. The authors gratefully acknowledge their research funding. Also, the authors thank Dr. Shirato and his colleagues at Hokkaido University Hospital for sharing the data sets of tumor motion with them. - This study was supported by a grant from the Donald W. Reynolds Foundation Program for Geriatric Training Initiatives. The investigators retained full independence in the conduct of this research. - We would like to thank the doctors who par ticipated in this study and Fiona MacKay of Lundbeck who, as an educational service to psychiatry, sponsored the meetings at which these sessions took place. - We express our sincere gratitude to Drs J.A . Holtet, O. Orheim, Y. Ohta, and Messrs T. Siggerud and Kunut of the Norsk Polarinstitutt for their cooperation in our field work. Our particular thanks are due to Professor S. Kobayashi of Niigata University, the chairman of the Arctic Research Committee of the Japanese Society of Snow and Ice, for his help in organizing the project. This research was supported financially by a grant-in-aid for overseas scientific research of the Japanese Ministry of Education, Culture and Science. - We thank Dr Manfred Blessing for providing the keratin-10 promoter. We are grateful to Dr T.Saunders for microinjection, Dr T.He for analyzing the EGFR protein, J.Wang and Dr Z.Q.Wang for technical advice on in situ hybridization experiments, Dr Craig Hammerberg for helpful discussions, and L.Van Goor for illustrations. J.-H.X. is a recipient of a Career Development Award from the Dermatology Foundation. This work was supported in part by a research grant from Johnson & Johnson Company. - The authors thank Onur AKI and Merve UNAL for the support they gave in the laboratory studies. - We hope that this special issue helps to provide a better understanding of the advances on the telematics engineering area. Concluding the editorial for this special issue, we would like to thank all the authors for their efforts in the elaboration of the papers , as well as the reviewers for their timely, comprehensive and constructive reviews. - This work was supported by a grant from the E.U. - I thank Beth Mantle, Robyn Meier and Cate Lemann (ANIC), Peter Lillywhite (NMV) and Owen Seeman (QM) for assistance, registrations and the loan of specimens, and Kate Sparks (SAM) for registrations. SEM images were acquired with the help of Karsten Goemann (Central Science Laboratory, University of Tasmania). Robert and Jenni Henzell very kindly provided access to their private forest at Uraidla, SA. Valuable suggestions for improvement were made by reviewers Sergei Golovatch and Nguyen Duc Anh. Field trips and laboratory studies were funded by the author. - The authors thank Ms Grace Kelly for support in scoring analysis of TMAs by SlidePath image software (SlidePath Ltd, Dublin, Ireland). The authors also thank Ms Jennifer Cvitanovic from LCRC Biospecimen core for providing human PCa tissue sections and serum samples. - The authors would like to thank their colleagues at General Dynamics UK for their assistance in data capture for this study. - Acknowledgements. This study was supported by the Norwegian Cancer Society, Norske Kvinners Sanitetsforening, The Association pour la Recherche contre le Cancer, The Fondation de France, Cent pour Sang la Vie, Marie-Curie Actions and by Aurora program. The expert technical assistance of Nina Lied Larsen, Khanh K. Dao, Sjur Huseby, Siri Strømsøy, Lene Vikebø and Mihaela Popa is highly appreciated. - We thank Marion Kaulfuss for her assistance in algae cultivation and determination of growth rates, Norbert Walz, Jan Köhler and Tom Shatwell for their help, and the Deutsche Forschungs gemeinschaft for financial support (STE 673/10-1). - The authors received financial support from the National Institutes of Health through grants R01HL092158 (FJW), R01ES015330 (FJW), and R01HL094641 (RHN). The NIH had no role in the design and conduct of the study, in the collection, analysis, and interpretation of the data, and in the preparation, review, or approval of the manuscript. - We thank Jemima Whyte and Silvia Velasco for help during undergraduate research projects in part supported by Wellcome Trust Vacation Scholarship. Research in G.N.W., A.M., and T.D.'s lab is funded by NERC, the Wellcome Trust, the BBSRC, and an FP6 NoE grant (MYORES). - We thank Dr. Sung Wook Park for help with the animal experiments. - This study was supported by the Medium-and Long-term Scientific Study Projects for Young Teachers of Beijing Forestry University (grant no. 2015ZCQ-BH-03 to Lei Xie), the National Natural Science Foundation of China (grant no. 31670207) and the Beijing Natural Science Foundation (grant no. 5182016). - This study was completed without external funding and relies entirely on publicly available data. Without the open access policies adopted by journals and Research Councils over recent years, this study would not have been possible. Moreover, open source initiatives such as the R Project, TCGA, cBioPortal, Protein Atlas and GenePattern/GSEAPreranked this study would have been impossible. The authors are grateful to all those involved in the aforementioned initiatives and all patients who elected to share their data with the community. The Wellcome Trust funds OBH and Cancer Research UK funds JWC, although no funding was sought for this study. - We are indebted to R. H. Hansen (Clarendon Laboratory) for invaluable advice and assistance. We thank N. Soffe and J. Boyd (OCMS) for assistance with implementing the NMR pulse sequences. We are grateful to A. Ekert (Clarendon Laboratory) and R. Jozsa (University of Plymouth) for helpful conversations. JAJ thanks C. M. Dobson (OCMS) for his encouragement and support. This is a contribution from the Oxford Centre for Molecular Sciences which is supported by the UK EPSRC, BBSRC and MRC. MM thanks CESG (UK) for their support. - We thank V.A. Khoze and B.R. Webber for valuable discussions concerning parts of this analysis. We particularly wish to thank the SL Division for the excellent start-up and performance of the LEP accelerator in the data taking run at centre-of-mass energies of 130-140 GeV and for their continuing close cooperation with our experimental group. In addition to the support sta at our own institutions we are pleased to acknowledge the - This research has made use of the GOLD Mine Database and of the NASA/IPAC Extragalactic Database (NED) which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. The authors thank L. Cortese for helpful comments. - We would like to thank Andy Johnson of the UBC FACS Facility for assistance with cell sorting and Meaghan Jones for providing us with an optimized protocol for bisulfite sequencing of the pCAGGS promoter. - The authors thank Tatsuki Sakuma, RPT, Kotoe Kinoshita, RPT, and Seigo Inoue, RPT, at Tokyo Bay Rehabilitation Hospital for their help and support. This work was supported by JSPS KAKENHI Grant no. JP16J07949 to Kazuaki Oyake and a grant from Funds for a Grant-in-Aid for Young Scientists (B) (15K16370) to Tomofumi Yamaguchi. - The author is indebted to Professor C. H. Li, University of California, U. S. A., for his generous gift of purified bGH. The author is grateful to National Institute of Arthritis, Metabolism, and Digestive Diseases, U. S. A., for providing purified pituitary hormones, to Tanabe Phramaceutical Co. Ltd., Osaka, for their gift of synthetic TRH, and Dr. A. Takagi, Dinabot Radioisotope Laboratory, Tokyo, for supplying T3 RIA kits. The author wishes to thank Dr. S. Honjo, National Institute of Health, Tokyo, for providing facilities and helpfulness for making monkey antisera to bGH and Dr. K. Hodate for his valuable assistance. - We thank Boon Chong Goh for rendering the capsid assembly in an immature virion and helpful discussions, Klaus Schulten for continuous support and enlightening conversations, Chris Aiken, Peijun Zhang and all members of the Pittsburgh Center for HIV Protein Interactions for years of fruitful collaborations, and Teresa Brosenitsch for editorial support. This work is a contribution from the Pittsburgh Center for HIV Protein Interactions and was supported in part by National Institutes of Health grants P50GM082251 (A.M.G), R01GM067887 (J.R.P). - The meeting was hosted by Université catholique de Louvain, Belgium and sponsored by the Belgian National Fund for Scientific Research, the Belgian Federal Science Policy Office, - We thank the field assistants Navin H. Kumar, C. S. Monappa, S. K. Chengappa, Range Gowda and the late Umesh. We also thank Sandeep Sen and Shruthi Jayappa for their meticulously conducted DNA extractions. We are grateful to Igor Chybicki for his helpful comments on the NM+ analysis and to the anonymous reviewers for their helpful comments. Fragment analysis was conducted at the Genetic Diversity Centre (GDC) of ETH Zurich. This research was funded by ETH Zurich under grant no. ETH-22 08-2. - We would like to thank Andrés Alcolea and two anonymous reviewers, as well as - The authors highly acknowledge Alexandria University and Ain Shams University to give us the opportunity to do this work. Author Contributions: All authors are equally contributed in this article. - Acknowledgements We are indebted to D. Alburger and G. Harbottle for supplying us with the BNL raw data, and to H. Schrader for supplying us with the PTB raw data. The work of PAS was supported in part by the NSF through Grant AST-06072572, and that of EF was supported in part by U.S. DOE contract No. DE-AC02-76ER071428. - The authors would like to express their gratitude to team members working in this research project. Also, our gratitude should be extended to the participants, without whose collaboration this article would not have been possible. Authors would also like to acknowledge Ms. Niloofar Shiva for critical editing of English grammar and syntax of the manuscript. - Acknowledgement. This research was supported by the Chung-Ang University Research grants in 2004. - This work is based in part on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. Support for this work was provided by NASA through an award issued by JPL/Caltech. Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA. SPIRE has been developed by a consortium of institutes led by Cardiff Univ. (UK) and including: Univ. Lethbridge (Canada); NAOC (China); CEA, LAM (France); IFSI, Univ. Padua (Italy); IAC (Spain); Stockholm Observatory (Sweden); Imperial College London, RAL, UCL-MSSL, UKATC, Univ. Sussex (UK); and Caltech, JPL, NHSC, Univ. Colorado (USA). This development has been supported by national funding agencies: CSA (Canada); NAOC (China); CEA, CNES, CNRS (France); ASI (Italy); MCINN (Spain); SNSB (Sweden); STFC, UKSA (UK); and NASA (USA). Facilities: Herschel (SPIRE), Spitzer (IRAC, MIPS) - The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. - This work was supported by the National Natural Science Foundation of China (30872098), the National Natural Science Foundation of Tianjin (09JCYBJC12900). - The author wishes to thank the referees for helpful suggestions. - Acknowledgments. This study was supported by the Federal Program "Integration" (project no. B0057), the Program of Support for Leading Scientific Schools in Russia, and the Scientific-Education Center "Nonlinear Dynamics and Biophysics" at the Saratov State University (Grant REC-006 from the U.S. Civilian Research and Development Foundation for the Independent States of the Former Soviet Union). - We thank past and present members of the Department of Neuroscience and Center for Neurovirology for their insightful discussion and sharing of ideas and reagents. This work was made possible by grants awarded by the NIH to S. A. and B. E. S. - The authors would like to thank Tim Weninger and Cami G Carballo for their invaluable input in this work. - Laura Pelser-Posthumus, Jolanda Klaassen, Astrid Pouwelsen and Jacqueline Kuhnen are gratefully acknowledged for technical assistance in mosquito dissection and microscopy. Roberto La Valle is kindly acknowledged for critical reading of the manuscript. This work was supported by the Medicines for Malaria Venture, the Bill and Melinda Gates Foundation (grant OPP1118462) and the Novartis Institute for Tropical Diseases. - This work was carried out by the facilities and funding provided by National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan. - We thank the many Constellation and Genentech employees in their support of these studies. Special thanks to Prerna Kotak, Ted Peters, and Gina Prophete for technical support and Jim Audia, Patrick Trojer, Keith Dionne, Jeff Settleman, Nicole Follmer, Jose Lora, Richard Cummings, Michael Cooper, JC Harmange, Brian Albrecht, and David Stokoe for helpful discussions and comments on the manuscript. - I thank P.L. Roe for inspiring this work and for being a constant source of advice throughout its course. I thank A.D. French for providing the basic code for the Euler calculations. - This work was supported by grants from the National Institutes of Health (HL-46813, P01-HL-43023). We gratefully acknowledge the technical advice and help of Dr Dong Sun. We appreciate the excellent secretarial assistance of Annette Ecke and the superb engineering support of Stefan Pischinger. - This study was supported by the National Institute on Drug Abuse (NIDA K23 DA032578 and P50 DA09253). Preparation of this manuscript was supported by the National Cancer Institute (CA-113710). None of the funding sources had any further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication. - Funding for this project was supported by the Austrian Science Fund (FWF) grant no. P23850-B17. The authors wish to acknowledge Ahmed AbdElfattah for his invaluable help organizing the RT-PCR as well as Dr. Michael Gotesman and Dr. Subhodeep Sarker for their assistance in revising the manuscript. - Acknowledgements: This work was supported by a grant from the Wellcome Trust and a studentship from the Medical Research Council. - The project described was supported in part by the Intramural Research Program (Daniel S. Pine) of the National Institutes of Health-National Institute of Mental Health, as well as by Grant Numbers U01MH093349 to Nathan A. Fox, P50MH078105 to Megan R. Gunnar, R00 MH080076 to Amanda E. Guyer, all from the National Institute of Mental Health. - This study was carried out with financial support from project PRIN20085FFB3H_005. - The authors gratefully acknowledge the ESA CCI Soil Moisture project for supporting this work (ESRIN Contract No. 4000104814/11/I-NB) and Wolfgang Wagner and Wouter Dorigo for their guidance. We would also like to thank Ger Kiely for providing access to the Irish in-situ soil moisture datasets. The authors would also like to thank the anonymous reviewer and George Petropoulos for their helpful suggestions and comments. - We thank Dr. Andrew Pearson for helpful comments in the preparation of this manuscript. We thank the EPSRC for financial support via grants EP/I028641/1 "Polymer/fullerene photovoltaic devices: new materials and innovative processes for high-volume manufacture", EP/J017361/1 "Supergen Supersolar Hub" and EP/ M025020/1 "High resolution mapping of performance and degradation mechanisms in printable photovoltaic" - Acknowledgements. The author thanks Prof. Araki and Dr. Iyemori of Kyoto University and Dr. Kikuchi of Communications Research Laboratory for encouragement and useful discussions for this study. He also thanks Dr. Takeda of Kyoto University for support to make the ionospheric conductivity model using the computer system of Kyoto University. The calculations were made using Data Processing and Analysis System for Geomagnetism of the Kakioka Magnetic Observatory. Topical Editor D. Alcayde thanks M. Itonaga and another referee for their help in evaluating this paper. - This work was supported by Veterans Affairs Rehabilitation Research & Development Service Grants C7450R, C7113N, C6116W, C4963W, and the National Center for Rehabilitative Auditory Research. Thanks to Kelly Reavis, Roger Ellingson, and Patrick Tsukuda for their work on this project. - The research leading to these results have received funding from the French Government - This study was financed from the project of the Ministry of Science and Higher Education: NN 402 481 737. - We sincerely thank all infection control personnel, laboratory technicians, and medical microbiologists who contributed to this study. We also thank C.C. van den Wijngaard and L.C. Soetens for their advice on the spatial cluster analysis. - This work was in part supported by NSF PHY-1430124, and NIH GM108578 to PRS, and NIH GM58460 to ASB. - The authors thank the Cancer Therapeutics Evaluation Program for their support, C. Koppel, K. Kinzel, and S. Roberge for expert technical support for biomarker analyses, Q. Wang for statistical support regarding clinical data, and nurses and physicians at our institutions for their assistance. Data were presented at the American Society of Clinical Oncology Annual Meeting, June 4-8, 2010, Chicago, IL. - We thank the NIH for financial support (GM101153 to D.P.G.). RA.B. is grateful for the Harry and Cleio Greer Fellowship. - This thesis is dedicated to my wife, Jiang Yun. Without her love and support - The authors declare that there is no conflict of interests regarding the publication of this paper. - The authors express their appreciation to the following individuals for their contributions during the preparation of the first edition: Robert W. Bass, E. Richard Schmidt, S. F., 5, 15, 17, 19, 178 - We thank Edward Wilding and Andrew Yonelinas for reading the manuscript. This study was supported by the Swiss National Science Foundation grant 3200B0-105278 and by the Swiss National Center for Competence in Research: Neural Plasticity and Repair. - The authors would like to thank the referees for a very careful reading of the paper and complete comments and useful suggestions, which improved considerably the presentation of this paper. - This work was supported by the grants of National Science Foundation of China (NSFC30901280), Chongqing Municipal Health and Family Planning Commission Project (2016MSXM106), and Chongqing Municipal Science and Technology Projects (cstc2016jcyjA0196, cstc2016jcyjA0277). - The financial support for this work by the Department of Science and Technology (DST), New Delhi, India [project no. SR/S1/OC-51/2010] is gratefully acknowledged. We thank - We gratefully acknowledge Michael Strauss and Patrick Hall for pointing out some of the CV candidates and Don Schneider for useful comments on the manuscript. Funding for the creation and distribution of the SDSS Archive has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Aeronautics and Space Administration, the National Science Foundation, the US Department of Energy, the Japanese Monbukagakusho, and the Max Planck Society. The SDSS Web site is http:// www.sdss.org/. Studies of magnetic stars and stellar systems at Steward Observatory is supported by the NSF through AST 97-30792. The SDSS is managed by the Astrophysical Research Consortium (ARC) for the Participating Institutions. The Participating Institutions are the University of Chicago, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, Los Alamos National Laboratory, the Max-Planck-Institut für Astronomie (MPIA), the Max-Planck-Institut für Astrophysik (MPA), New Mexico State University, University of Pittsburgh, Princeton University, the US Naval Observatory, and the University of Washington. P. S. and S. L. H. also acknowledge support from NSF grant AST 02-05875 and an RRF grant from the University of Washington. - We would like to thank Kirsten Moll, Niloofar Rasti, Malin Haeggström, Bobo Mok, Qijun Chen and members of the Wahlgren group for their support in technical discussions, ATCC/MR4 for providing the MSP1-FVO rabbit antibody and PfEBA175 (region VI) rabbit antiserum (MRA-2). We would like to thank Matt Berriman, Andrew Berry and their team at the Wellcome Trust Sanger Institute for sequencing the intergenic region. This work is part of the activities of the BioMalPar European Network of Excellence supported by a European grant (LSHP-CT-2004-503578) from the Priority 1 "Life Sciences, Genomics and Biotechnology for Health" in the 6th Framework Programme, the Swedish Research Council and the Swedish International Development Agency (Sida). - This work has been supported in part by the Grant in Aid for Scientific Research (05243206, 06234210) and COE research (07CE2002) of the Ministry of Education, Science, and Culture in Japan. - We would like to thank Dr. Mr. Mengsen Li PhD and Ms. Jun Ma for their critical review of the manuscript, and Mr. Yunbo Zhang for help in collecting samples. Thanks also go to all participants who made the study possible. - This study was financially supported by the National Natural Science Foundation of China (grant numbers 31301477 and 31401580), the University of Liège-Gembloux Agro-Bio Tech, and the research platform AgricultureIsLife (grant number MOE11BE1A20131371N). - We thank the patient and his family for their kind cooperation. This work was supported in part by the Intramural Research Program of the National Human Genome Research Institute. - We thank the patients and their families for their support and participation in this study. - This work is funded by National Natural Science - We thank the National Parks and Wildlife Service of Ireland, particularly the offices of J Wilson, D Norriss, O Merne and D Tierney for their support. We thank the many volunteers who have helped catch and mark Greenland white-fronted geese at Wexford over the study period, especially P O'Sullivan and the late C Wilson. We also thank D Koons, X Harrison, G Souchay, T Arnold and K Weegman for their helpful comments to earlier versions of this manuscript. Finally, we thank our respective employers for their support of this research. - We thank Laura Hagstrom and Theron White for their help with cloning and initial purification of TruB; Olke Uhlenbeck (Northwestern University, Evanston, IL) for plasmid pCFO; the National BioResource Project (NIG, Japan) for the TruA and RluA expression plasmids; and Hans-Joachim Wieden for providing access to the quench-flow and stopped-flow apparatus as well as for critically reading the manuscript. This work was supported by the National Science and Engineering Research Council of Canada (NSERC), and the Canada Foundation for Innovation (CFI). - We thank Jorge Chiapella, Walter Till, and Sabina Donadío for useful taxonomic discussions on the complex. Also to Leonardo Versieux, Andrea Costa, Walter Till and Jorge Chiapella for helpful comments and suggestions of previous version of this manuscript. We are indebted to the curators of CORD, LIL, MA, W, and WU for access to plant material. We thank also to Marcelo Gritti that took some of the photographs. Financial support was provided by CONICET, SECyT (UNC), MINCyT and BMFW. - The work at Lund was financially supported by the Swedish Energy Agency, the Knut and Alice Wallenberg Foundation, Swedish Research Council and the European Research Council. J. Zhu and J. Gao thank the Chinese Scholarship Council for financial support. A. Alpers, P. Gritzmann, and M. Schwenk were partly supported by DFG Grants AL 1431/1-1, GR 993/10-1, and GR 993/10-2. COST Action MP1207 is acknowledged for networking support. - The research project was partially funded by the EMBIO Project of the Cypriot Ministry of Industry, Commerce and Tourism. The authors wish to thank Mrs. Angela-Lucy Petrou (Hellenic Ministry of Foreign Affairs) for proof-reading the manuscript. - This work was supported by the MRC and ARC. CEC is an Australian Research Council Postdoctoral Fellow. We thank Bill Wisden and Helen Meadows for the kind gifts of cDNA for TASK channels. - Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under contract DE-AC04-94AL85000. This work was performed under the DARPA MICE program under the leadership of CMS Technitronics. Special thanks go to Superior Micropowders for supplying the silver powder. - This research was supported by the Donald W. Reynolds Foundation. - Thanks are expressed to I. Triay and her colleagues at Los Alamos National Laboratory for providing samples and some funding to support this research, to D. Bish for providing some of the relevant data and publications and to L. Kovack for additional information. The manuscript benefited from the constructive criticisms of J. Post and 2 anonymous reviewers. Funding for this research was also provided by National Science Foundation grant number EAR9317082. - This work has been supported by the National Bioscience Database Center (NBDC) of the Japan Science and Technology Agency (JST). We thank Mr. Ryo Matsumiya for helping with the implementation of the Colil search service. - The authors acknowledge the support of the Dawn Science, Instrument and Operations Teams. This research has made use of the USGS Integrated Software for Imagers and Spectrometers (ISIS). We thank Michael Zanetti and an anonymous reviewer for the comments and suggestions, which helped improve the manuscript. This work was partly supported by the German Space Agency (DLR), Grant 50 OW 1101. - This work was supported by a grant-in-aid for scientific research from the Ministry of Health, Labour, and Welfare, Japan and from the Okasan-Kato Foundation. We thank Dr. Akio Mori at the Clinical Research Center, Sagamihara National Hospital, for his support and critical comments on the project. - All the people of CNR-IFC Laboratory of Cardiovascular Biochemistry are acknowledged for their research activity in the cardiovascular biomarker field. - The authors thank Drs. M. Ichikawa, F. Sasaki, H. Hayashi, M. Kakeyama, and S. Tsukahara for invaluable support and guidance. The authors also thank Drs. T. Ishidao, Y. Fueta, and H. Hori for their excellent discussion for this paper. This study is partly supported by the grant from the Ministry of the Environment, the Health and Labour Science Research Grants, and the Grant-in-Aid for Scientific Research. - The authors acknowledge funding from the Natural Science and Engineering Research Council of Canada (Discovery Grants), the Canada Foundation for Innovation for Infrastructure and its operating funds, and the Fonds du Québec en Recherche sur la Nature et la Technologie for team grants. Federico Rosei acknowledges NSERC for an EWR Steacie Memorial Fellowship. Alberto Vomiero acknowledges Kempestiftelserna and Luleå University of Technology Labfonden program for financial support for equipment, and the European Commission for partial funding under the contracts F-Light Marie Curie 299490 and WIROX 295216. The authors thank Ana Tavares for useful discussions during data analysis and manuscript preparation. - The financial support for this work provided by Louisiana Board of Regents (RCS and Pfund) and high performance grid computing resources (HPC) provided by LONI (Louisiana Optical Network Initiative) system are gratefully acknowledged. - We are grateful to Prof. Matthew Walker and Prof John Duncan from UCL Institute of Neurology for their support. JWS is supported by the Marvin Weil Epilepsy Research Fund. This work was undertaken at UCLH/ UCL, which received a proportion of funding from the Department of Health's NIHR Biomedical Research Centres' funding scheme. - The first author greatly acknowledges MEXT (MONBUK-AGAKUSHO) scholarship provided by the Japanese Government for conducting research in the Graduate School of Global Environmental Studies of Kyoto University. - Acknowledgment We thank Ralph Bergmueller, Laurent Keller, Lawrence Kirkendall and anonymous referees for comments on previous drafts of the manuscript, and Dik Heg and Barbara Tschirren for statistical advice. The investigations comply with the current laws of Switzerland. - The author wishes to thank his colleague Dr. D. H. Carlson and the referee for helpful suggestions concerning this paper, and particularly wishes to thank the referee for the reference [l] below. - Funding from the Department of Health to NPCRDC and from the Chief Scientist Office to HERU is acknowledged. The views expressed are those of the authors and not necessarily those of the funders. Helpful comments were made by Ken Judge, and John Wildman, and by participants in the Glasgow July 2004 meeting of the Health Economists' Study Group, and the York Seminars in Health Econometrics. - The work was supported by the National Natural Science Foundation of China (no. 51472204, 51221001, and 51302102.) We also thank the support from the Key Scientific and Technological Team from Shanxi Province, Start-up Funds from NWPU and the Natural Science Foundation of State Key Laboratory of Solidification Processing no. 2014KA040098C040098. Choy and his team would like to acknowledge the General Research Fund (grant HKU711813), the Collaborative Research Fund (grant C7045-14E) and RGC-NSFC grant (N_HKU709/12) from the Research Grants Council of Hong Kong Special Administrative Region, China. We also thank Dr Di Zhang for some discussion about transfer of graphene onto a glass. - The authors are very grateful to the operational staff who participated in this survey and thank Drs Nagase, Ogawa, Kobayashi, Takeda, and Inoue. T.S. and R.I. conceived the study. R.I. performed the statistical analyses. T.S. collected the data and wrote the first draft of the manuscript. R.I. critically reviewed the manuscript. All the authors contributed to the design, interpretation of the results, and critical revision of the article for intellectually important content. - We would like to thank the following organisations and individuals for input, help or assistance with this project. the Diamond Light Source for access to beamline I12 (experiment EE9244-1) that contributed to the results presented here, and Michael Drakopoulos, Nghia Vo, Christina Reinhard, Robert Atwood and Kaz Wanelik for their support and assistance during this beamtime. the NHM Imaging and Analysis Centre, for the initial XMT scans of the cones and for providing help generally. The NHM photo unit and Phil Crabb in particular for photographing the exterior of one of the cones. We thank Will Collins, owner of Chicksgrove Quarry at the time of collecting, and Mr. Simon Hart of Lovell Purbeck Ltd (current owners), for permitting access to collect at the site. Finally, we would like to thank Gar W. Rothwell and an anonymous reviewer for their input and comments into the final version of this paper. - ACKNOWLEDGEMENTS. The authors thank British Biotech Pharmaceuticals for supplying batimastat, Nancy Starobinas for kindly providing the cell line L929, Bruno Lomonte for fruitful discussions, and Javier Núñez and Rodrigo Chaves for their collaboration. This study was supported by the International Foundation for Science (project F/2707-2), by NeTropica, and by Vicerrectorṍ a de Investigación, Universidad de Costa Rica (projects 741-A1-529 and 741-A2-036). This work was carried out in partial fulfillment of the requirements for the Ph.D. degree for A.R. at the University of Costa Rica. - We thank Xian-min Meng for her laboratory technical assistance and Yue Tang for the excellent animal surgery. - Acknowledgments Main author thanks National Dairy Research Institute, Karnal, India for the award of Institute Senior Fellowship. Authors do not have any conflict of interest. - We would like to thank Steve Sowter and Brian Delroy of the South Australian Department of Human Services Food Standards Unit for their assistance with this outbreak investigation. We would also like to thank the staff of the South Australian Department of Human Services Behavioural Epidemiology Unit, in particular, Anne Taylor, for their assistance with the case control study. - The work of R. Gómez was partly supported by DGAPA-PAPIIT IN120605. - This work was funded by the German research association, the Deutsche Forchungsgemeinschaft (DFG), within the Sonderforchungsbereich (SFB) 602: Complex Structures in Condensed Matter from Atomic to Mesoscopic Scales. A. K. H acknowledges financial support from the Volkswagenstiftung within the program "Nachwuchsgruppen an Universitäten". - We thank Henriette Vever, Lisbet Mortensen and Ole Nielsen for excellent technical assistance and M. K. Occhipinti for editorial assistance. - We are grateful to M. Galpin, C. Wright and T. Kuzmenko for stimulating discussions. This research was supported in part by EPSRC Grant EP/D050952/1. - We thank the bacteria laboratory NO. 252, Hospital of PLA, Baoding, China for their expert assistance in this study. - This work received funding from the European Union in FP7: Clinical Intervention Modelling, Planning and Proof for Ablation Cancer Treatment (ClinicIMPPACT, grant agreement no. 610886) and Generic Open-end Simulation Environment for Minimally Invasive Cancer Treatment (GoSmart, grant agreement no. 600641). Dr. Bernhard Kainz is supported by an EU FP7 MC-IEF 325661 grant and Dr. Xiaojun Chen receives support from NSFC (National Natural Science Foundation of China) grant 81171429. Dr. Dr. Jan Egger receives funding from BioTechMed-Graz ("Hardware accelerated intelligent medical imaging"). The authors would like to thank the clinical staff enabling this study and MeVis in Bremen, Germany, for providing an academic license for the MeVisLab software. Videos demonstrating the interactive - We thank Drs. Chunling Yi and Joseph L. Kissil for AMOT knockdown constructs and AMOT knockdown HEK293T stable cells, Marius Sudol for an anti-YAP antibody, Xiao-Wei Chen for pHRCTS-CMV-WPRE-GFP vector, Philip Gafken at the Fred Hutchinson Cancer Center for assistance on LC-MS/MS analyses, Alyssa Wu for assistance on FRET, Ryan Russell for critical reading of the manuscript, and NIH Grant P30 CA23100 for covering part of the cost for confocal imaging. This work was supported by grants from the NIH (to K.L.G.). - Jutta Schwarz and Jana Hildebrandt are thanked for help with synthesis. This work was financially supported by EC through the IEF RESPONSIVE (PIEF-GA-2012-326665) and ITN iSwitch (GA no. 642196) as well as the ERC projects SUPRAFUNCTION (GA-257305) and LIGHT4FUNCTION (GA-308117), the International Center for Frontier Research in Chemistry (icFRC), the - The authors would like to thank Hilde Kelchtermans for critically reading the manuscript and the employees of the Maastricht Anticoagulation Clinic for their assistance with patient inclusion and blood collection. - This work was supported by grants from the National Science Council (NSC87-2314-B002-235. NSC85-2622-B002-01 1) and Department of Health. Executive Yuan. Taiwan (DOH86-TD-023. DOH87-TD-1045. DOH87-HR-525). - This paper is written as a part of a solution of project IGA FBE MENDELU 14/2010 and research plan FBE MENDELU: MSM 6215648904. - -10-Division of the Lawrence Berkeley Laboratory, University of California, Berkeley. - Acknowledgements The authors gratefully acknowledge the financial support of the project (Grant No.: RI 1202/3-1,2, WI 1970/8-1,2, SCHM 1372/7-1,2) by the German Research Foundation (DFG). - The authors greatfully acknowledge the support provided by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Universidade Federal do Paraná (UFPR), Universidade de Innsbruck (UIBK) and Institutos LACTECInstituto de Tecnologia para o Desenvolvimento for the development of this work. - The authors thank Günther Grabner for his outstanding and continuous support of experimental ophthalmology and Karin Weikinger, Sieglinde Graf, Dorothea Haunschmidt, and Eva Teppan for their excellent technical support. - The authors declare no competing financial interests. - This research was partially supported by a National Research Service Award Post-Doctoral Traineeship from the Agency for HealthCare Research and Quality sponsored by The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Grant No. T32-HS000032 and NIMH 5K01MH076175. - The authors would like to thank Llewellyn Mann for his assistance, critical eye, and advice throughout the project. - We would like to thank the Scientific Services at the Jackson Laboratory for many aspects of this project, including the Cell Biology and Microinjection Services for assistance in generating mutant strains of mice, and the Histology and Microscopy services for sample preparation. - This study was supported by a RTOG grant U10 CA21661, CCOP grant U10 CA37422 and ATC grant U24 CA81647 from the National Cancer Institute. This manuscript's contents are solely the responsibility of us and do not necessarily represent the official views of the National Cancer Institute. - This work was supported by the Emerging Fields Initiative from the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), project "Synthetic Biology" to US and HS. We acknowledge support by Deutsche Forschungsgemeinschaft and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) within the funding programme Open Access Publishing. We thank Benedikt Schmid (Lehrstuhl für Biotechnik, FAU) for help with the CD-spectroscopic analysis. - These studies were financially supported by Teva Pharmaceuticals (Netanya Israel). The authors thank Teresa Nunes, MD, MSc (PRA Health Sciences, Zuidlaren, The Netherlands) and Pippa Loupe, PhD (Research and Scientific Affairs, Teva Pharmaceuticals, Kansas City, Missouri, USA) for assistance in manuscript development. - The authors thank to Alberto Sánz Cantalapiedra, MD, for fluorometry measurement assistance; Emiliano Becerra, MD, for eye and lid surgical extraction; Miguel Jarrín, MSc, for animal handling; Victoria Sáez for excellent technical assistance, and Agustin Mayo-Iscar, PhD, for statistical analysis. - We wish to recognize the contribution of our colleague - Luis Aguilar Rosas and Raúl Aguilar Rosas † identified the Sargassum species. José Borges Souza, Ciro Arista de la Rosa, Martín Cuevas Higuera, Efraín Flores Montaño, Enrique Calvillo Espinoza, Javier Alvarez Espinoza, Jesús Espinoza Alvarez, and Pablo Simental Sigala conducted important field work. Ira Fogel (CIBNOR) provided extensive editorial services. MCV, ISR, and RNAR are EDI-IPN and COFAA-IPN fellows. - This study was supported by the General Program of National Natural Science Foundation of China 81271307 (to XQ) and the National Key Clinical Specialties Construction Program of China. - We thank all collaborators who helped with insect sampling. - This research was sponsored by Daikin Industries, Japan and Tsinghua University, China. - This analysis is a product of the Global Lake Ecological Observatory Network (GLEON) Fellowship Program, as conceived by KCW, PCH, and EKR (http://fellowship. gleon.org). Open-source code for gas flux calculations can be accessed in the R package LakeMetabolizer. We do not make a distinction among the contributions of the first 8 authors in conceiving, designing, and carrying out the analysis and synthesis for this paper. All authors contributed to writing and editing of the manuscript. We thank Dr. Jonathon Cole for helpful feedback that improved this paper. Funding for this research was provided by US National Science Foundation Macrosystem Biology grant #1137353, and #1137327. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government. We acknowledge data providers of the Solomon et al. (2013) - This work supported by the Nuclear Science Division and the U.S. Department of Energy under Contract W-7405-ENG-48. - The authors wish to thank Dr. H. Zahner of Universitat Tubingen, F.R.G. for generous gifts of bafilomycins. - Acknowledgements. We thank the Federal Ministry of Education and Research of Germany for funding the project "Restoration of degraded arable soils of Moldova using vetch as green manure" (FDK 01DK13008). Edited by: A. Jordán - Supported by grant CA29605 from the National Cancer Institute and by funding from the Amyx Foundation, Inc. - The study was supported by the Administration des services techniques de l'agriculture (project Sentinelle) and by the Fonds National de la Recherche Luxembourg (project Futox FNR/SECAL/07/02). - We thank Albrecht Ritschl, Hans-Joachim Voth (Editor in Explorations in Economic History), and two anonymous referees for very useful comments and suggestions. We are also grateful to Takashi Kamihigashi, Mariko Hatase, Masanao Itoh, seminar participants at Kobe University, the Bank of Japan, and participants of the Economic History Association's 71st Annual Meeting for their helpful discussions and remarks. Shibamoto acknowledges financial support in the form of a Grant-in-Aid from the Japanese Ministry of Education. - We thank Dr. Aki Mustonen, Dr. Jukka Moilanen, Dr. Mervi Grip, and Nurse Kari Mononen for help in sample and data collection. - We thank the Judith and Jean Pape Adams Charitable Foundation for supporting and funding our research into lanthionine biochemistry. We thank Joseph Margiotta and Marthe Howard of the University of Toledo Medical Center, Department of Neurosciences for their advice regarding culture of primary chick dorsal root ganglia neurons. - We thank S. Poblador for the field and laboratory assistance. - This work was partially supported by NIH/NHGRI grant 1U54HG004973-0 and NIH/NIAID grants R01 AI42399 and R01 AI067861. JGP was supported by T32 AI55449 and is currently supported by F31 AI092891. - Acknowledgments We would like to thank Pedro Rodriguez and Sea Ventures, Inc for providing logistical support for work at this site over the last 10 yr. We would also like to thank Art Gleason at the University of Miami for processing the photomosaic. - This article was supported in part by the Child Health and Nutrition Research Initiative (www.chri.org). We would also like to thank the following individuals for their valued revisions: Margie Peden, Olive Kobusinjye, David Bishai and Andrea Gielen. - This paper was originally presented during IFLA 2011 Annual World Library and Information Congress held in San Juan, Puerto Rico, 13-18 August 2011. Published with the kind permission of IFLA. www.ifla.org/ - This work was supported in part by CAICYT - This work was supported by grants from National Natural Science Foundation of China - This research was supported by National Natural Science Foundation of China (Grant No. 81273957, 31371321), NCET-10-0919 and 'Taishan scholar' position. - We thank the patients and their families for participation in this study. We are indebted to Charlotte M. Druschel, M.D., M.P.H., who is retired from the Congenital Malformation Registry, New YorkState Department of Health, Albany, New York and the Department of Epidemiology and Biostatistics, School of Public Health, University at Albany State University of New York, Albany, New York. She was a major contributor to this project in design and recruitment of New York State participants. This research was supported by grants including CDC R01 DD000350 and NIH/NICHD P01 HD078233. - I want to thank Joe Brady, Kathy Cebulka, Dan Chester, Kathy McCoy, Martha Pollack, and Ralph Weiscbedel for their many helpful discussions and coxxmaents on this work, and Dan Chester and Kathy McCoy for their comments and suggestions on this paper. - We thank Christopher Stewart, senior assistant librarian at SUNY Downstate Medical Center, for his help in conducting the literature searches for this systematic review. We thank the following authors for providing us with patient-level natriuretic peptide data: Tommy Chung, Camille Chenevier-Gobeaux, Joé el Coste, Christopher R. deFilippi, Salvatore Di Somma, Andrew S. Liteplo, Simcha R. Meisel, and Thomas Mueller. - The authors thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for the scholarships and to Núcleo de Endemias da Secretaria de Saúde do Estado do Ceará for their collaboration in grain processing. - This study was supported in part by grants-in-aid for research from the Ministry of Health, Labor, and Welfare of Japan. The authors disclose no financial relationship relevant to this publication. - We are grateful to Juliana Brown, Steve Hyman, Guoping Feng, Zhanyan Fu, Alejandro Schinder, Lee Rubin, Francesca Rapino, Emilio Kropff and members of the Arlotta lab for insightful discussions and editing of the manuscript. We thank Alex Pollen and Arnold Kriegstein for sharing of human single-cell datasets and Connie Cepko for generous sharing of antibodies. We thank Helen Zhang for outstanding technical support. - We thank Dr. Yumiko Abe and Hiroko Matuda for expert technical assistance. We also wish to thank Dr. Mario Ascoli for suggestions with different technical aspects of this project; Dr. Shizuko Imai for the preparation of this manuscript; and Dr. Takashi Matozaki (Biological Research Center Institute for Molecular and Cellular Regulation, Gunma University, Japan) for anti-cAMP serum. Received December 19, 2003. Accepted March 9, 2004. Address all correspondence and requests for reprints to: Kazuto Nakamura, Department of Obstetrics and Gynecology, School of Medicine, Gunma University, Gunma 371-8511, Japan. E-mail: nkazuto@med.gunma-u.ac.jp. This work was supported by Uehara Memorial Foundation (Japan), Kanzawa Medical Foundation (Japan), and a grantin-aid for scientific research from the Ministry of Education, Science, Sports and Culture of Japan. - This work was supported in part by grants from the Ministry of Education, Culture, Sports, Science, and Technology of Japan - Funding: This is a self-supported research without funding from any agency whatsoever. - This work was supported by research grants from the Takeda Research Foundation, a grant from the Japan Cardiovascular Research Foundation (Bayer Scholarship for Cardiovascular Research to K.T.), and Grant-in-Aid for Scientific Research (Kakenhi 21590950 to K.T. and 23390208 to T.M.). No potential conflicts of interest relevant to this article were reported. Y.U. performed experiments and contributed to writing the manuscript. K.T. designed and performed experiments, chaired discussions, and wrote and edited the manuscript. K.Y., T.N., and T.Ma. performed cell treatment experiments. K.E. provided 7ND construct. R.K. and M.N. performed animal experiments. X.W.C. and H.N. performed a pathological analysis. T.Mu. coordinated this project and reviewed the manuscript. K.T. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The authors thank Dr. Issa F.G. (Word-Medex Pty Ltd., Sydney, Australia) for careful reading and editing of the manuscript, Dr. Mikio Iwashita (Daiichi-Sankyo Co., Ltd., Tokyo, Japan) for suggestions on the statistical evaluations, and all members of the laboratory for sharing reagents and advice. - This study was financially supported by the NAFOSTED of Vietnam under code number 104.05.58.09. The authors would like to thank the Humboldt-Fellowship for the support of the IM6 equipment. - We are grateful to the UK Department for International Development for funding the research reported here. We are also grateful to the Nuffield Foundation for a timely travel grant to enable LO to visit Kisumu to assist the later stages of the project, to the Kombewa HDSS for access to the demographic and health surveillance site, to the research assistants and field managers, and last but not least to the people who willingly gave their time to participate in the study. - The authors gratefully acknowledge the content experts for the valuable discussions and Reginald Roach for editing the paper. The source of funding was College of Nursing, Sultan Qaboos University DF/CN/06/10. - The author gratefully acknowledges the financial support given by the National Science Foundation (Research grant -RG/Ol/AG/97). Thanks are due to Mr MM Jayathileke of the Department of Civil Engineering for collecting data and performing pumpingtests in the study area. - Acknowledgements. Part of the research at EDM is funded by the European Fund for Regional Development and the Flemish Government, the iConnect project is funded by the Interdisciplinary institute for BroadBand Technology (IBBT). We would like to thank Maarten Cardinaels and Geert Vanderhulst for their invaluable assistance. - This work was performed according to the Russian Government Program of Competitive Growth of Kazan Federal University. - We would like to express our gratitude to Dr. Robert H. Waterston for critical review of the manuscript and permission to quote unpublished data, Dr. C. C. Liew for providing the sequence of intergenic region between d-and aMHC genes, Dr. Tony S. Ma for helpful discussions, Grace Czernuszewicz and Terry Tapscott for technical assistance, and Debora Weaver, Alexandra Pinckard, and Sherry Terry for manuscript and figure preparation. This work is supported in part by grants from the National Heart, Lung, and Blood Institute, Specialized Centers of Research (P50-HL42267-01), and the American Heart Association, Bugher Foundation Center for Molecular Biology (86-2216). - The first author was supported by the Japanese Government Scholarship Grant for Foreign Students (Monbukagusho) for his PhD study. This work was partly supported by the Ministry of Agriculture, Forestry, and Fisheries of Japan (Genomics for Agricultural Innovation PMI-0010) and the Program for Promotion of Basic Research Activities for Innovative Biosciences (PRO-BRAIN), Japan and Grant-in-aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology, Japan to HK and RT (Grant-in-Aid for Scientific Research on Innovative Areas 23113009). - We thank E Menna (CNR, Milan) and R Furlan (San Raffaele Hospital, Milan) for helpful discussion and A Bergami (San Raffaele Hospital, Milan) for flow cytometry measurements. This research has been supported by FISM 2010/R/39 to CV, Compagnia di San Paolo, 2008 2207 to MM and Associazione Italiana Ricerca sul Cancro (AIRC) to EC. Author contributions: FA performed all patch-clamp recordings in vitro with the help of MG, analysed data and helped with in-vivo experiments. ET established cultured microglia, performed MV isolations and part of MV biochemical treatments with the help of LN. LR established cultured neurons and performed some biochemistry on MVs. MC performed and analysed in-vivo data and helped with data interpretation. CP analysed A-SMase activity of MVs. EC provided experimental tools. PG analysed sphingolipid metabolism and extracted lipid fraction from MVs. PV discussed the hypothesis and helped with data interpretation. MM discussed the hypothesis and helped to write the manuscript. CV designed the study and wrote the manuscript. - Dr. Trond Eirik Jentoftsen, Hydro Aluminium, Norway is acknowledged for performing some of the experiments.. - We thank T. Terashima - This research was supported by the Australian Research Council (DP130104572, DE150100548) and the Swedish Research Council (VR 2014-4904). We thank the manager of the Adelaide Botanic Gardens for allowing insect collection and behavioral recordings. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - We acknowledge the support of the ESRC for this research: the data derive from project R000222050 and the ideas for the application from project R000222693. - We are grateful to J. Artola, L. Azzolin, J. Bene s, S. Cuvelier, A. Freese Research (12-04-00490, 11-04-00076 and 11-04-01119) and by the Presidium of Russian Academy of Science 'Gene Pools and Genetic diversity' and 'Origin of biosphere and evolution of geo-biological systems' to VAL. - The study was supported by National Institutes of Health Grant DA-K01 -024751 (to H.-E. W.) and NS-R01-42150 (to Q.H. H.). - The authors express profound thanks to the physicians at affiliated hospitals who obtained liver biopsy specimens and provided patient data for this study: Drs. Kouji Domori, Kisei Ishizuka, Osamu Isokawa, Yusuke Kawauchi, Makoto Kobayashi, Yusaku Mita, Shigeki Mori, Keiko Niwa, Akihiko Osaki, Kenta Suzuki, Shinichi Takei, and Koichi Harada. - We thank Hong Yeon Woo for assistance with field collection. Our thanks are given to Yujeong Park and Mi-yeon Kim for helping with species identification and Erick Kim for linguistic corrections. - The authors wish to thank Mr. David B. Izard for his assistance with the English correction. - We thank A. Spracklen, N. Westerberg and B. Braunecker for useful discussions. C.W.D. acknowledges studentship funding from EPSRC CM-CDT Grant No. EP/L015110/1. P.Ö. and M.V. acknowledge support from EPSRC EP/M024636/1. - We thank the Southern California Bight 2013 Regional Monitoring Program (Bight '13) Marine Protected Area Planning Committee for their guidance and review during this study. We also acknowledge the following organizations for the extensive field efforts and careful attention to consistent methodology that allowed for collation of the biological data used in this study: the Partnership for the Interdisciplinary Studies of Coastal Oceans, Vantuna Research Group, San Diego State University. - Sincere gratitude and appreciation to Gordon Hodge, Ph.D., Karin Butler, Ph.D., Paul C. Amrhein, Ph.D., and Mark McDaniel, Ph.D. whose vital contributions and recommendations were greatly appreciated. - Acknowledgement. We are thankful to Peter Sun for providing advice on the 2B4 structure and to Frank Momburg for providing reagents. - All measurements have been done by the Swiss Army Procurement Agency. - I thank Drs Gary Poore, Robin Wilson and Elycia Wallis (Museum Victoria, Melbourne); Penny Berents (Australian Museum); and Wolfgang Zeidler (South Australian Museum, Adelaide) -for loans of large amounts of unidentified sphaeromatid material and for waiting patiently while I worked on these valuable collections. I also thank Kim Larsen for inking the drawings and Geert Brovad (both Zoologisk Museum, Copenhagen) for producing prints of the SEM photograph. I thank Janet Bradford-Grieve (NIWA, Wellington) for her comments on the manuscript. This is the concluding contribution from Australian Biological Resources Study Grant ABRS 89/1844, and was completed in part at the Zoologisk Museum, University of Copenhagen. This publication acknowledges National Science Foundation award DEB9978193. - I would like to thank Rob Iliffe for numerous conversations about the issues raised in this article, Dilwyn Knox for commenting on an earlier version of this material and Francesco Beretta for offering valuable advice at an early stage of my research. - The authors thank the University of Virginia Flow Cytometry Core facility for excellent technical assistance with luminex assays. The authors thank Drs. P.C. Trampont and T.J. Braciale for apotome microscope and one-step-plus qPCR access, respectively. The authors thank members of Dr. Y.S. Hahn's laboratory for their suggestions. - The authors would like to thank H. A. Baldis, E. M. Campbell, B. A. Hammel, and J. D. Kilkenny for helpful discussions and support. We also thank the Nova crew. - We thank Aiko Inoue for technical assistance with cell culture and morphological analysis. - We thank all members of the Raulet lab for helpful discussion and comments on the manuscript. Benjamin G Gowen The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - We thank Dr. R. Anderson for language editing. - Acknowledgments. We would like to thank Michael Fried, Kay Magaard and David Harbater for help with context and references, and Robert Guralnick for assistance with the proof of Theorem 5.3. - G.R. thanks Gerrit Coddens fruitful discussions and improving the style of the paper. - This work has been supported in part by research grants from NSERC of Canada. LD also acknowledges a FQRNT fellowship. - Authors thank Drs Mark S Shapiro and Byung-Chang Suh for kindly providing valuable reagents. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning and Technology (NRF-2012R1A2A2A01046878, NRF-2015R1A2A1A15051998 and 2015. - The research was kindly supported at Northwestern University by the US Department of Energy, Basic Energy Sciences, Chemical Sciences, Biosciences, and Geosciences Division and Division of Materials Science and Engineering Grant ER-15522. Use was made of the IMSERC X-ray Facility at Northwestern University, supported by the International Institute of Nanotechnology (IIN). Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: BR2209). - This work is carried out in the master thesis which is supported by the Nokia Siemens Networks Project Mature (Modeling and Analysis of the Transport Network Layer in the UTRAN Access Network REsearch). The partner of this work is Nokia Siemens Networks in Berlin, Germany. - We thank the accelerator crew of IUAC for providing beams of excellent quality throughout the experiments. One of the authors (M.K.) would like to thank University Grants Commission (UGC) for the financial assistance. - We thank Valerie Asher for critical reading of the manuscript. This work was supported by Public Health Service grant RO1 A1 30060 (K. A. Joiner and C. J. M. Beckers) and by Institut National de la Sante et de la Recherche Medicale and Centre National de la Recherche Scientifique (J. E Dubremetz and O. Mercereau-Puijalon). - Acknowledgements. We thank Joonas Merikanto for help with the pre-industrial emission inventories, Thomas J. Breider for the development of the coupled chemistry scheme, and Matthew T. Woodhouse for providing further data on DMS-derived changes in CCN and useful discussions on an earlier version of the manuscript. We thank the reviewers and the Editor for their useful comments and suggestions. AS would like to thank David S. Stevenson and Daniel J. Morgan for their useful comments and discussions during the PhD viva, and Hans-F. Graf for very useful comments on an earlier version of this paper. We also thank Robert B. Simmon from NASA Earth Observatory for provision of the NASA satellite data. AS was funded through a University of Leeds PhD Research Scholarship and through NERC grant NE/I015612/1. AR was supported by the NERC grant NE/G005109/1. GWM was funded by the NERC National Centre for Atmospheric Science, and KSC and PMF are Royal Society Wolfson Merit Award Holders. - CH and EJ were supported by the Netherlands Organization for Scientific Research (NWO grants 840.11.001 and 841.11.007), and NH by the Triodos Foundation. The investigations of the Entomological Society Krefeld and its members are spread over numerous individual projects at different locations and in different years. Grants and permits that have made this work possible are listed below: - The authors express their thanks to Drs. Yoshiaki Miyamoto and Kozo Nakamura for valuable discussions. They appreciate a number of insightful comments from two anonymous reviewers. The data providers are also acknowledged. The NOAA_OI_SST_V2 data were provided by the NOAA/ OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at http://www. esrl.noaa.gov/psd/. The TRMM 3B42v7 was provided by National Aeronautics and Space Administration (NASA) and Japan Aerospace Exploration Agency (JAXA). The ECMWF YOTC operational analysis was provided by ECMWF from their Web site at http://apps.ecmwf.int/datasets/data/yotc-od/levtype=sfc/ type=an/. The NCEPfinal analysis was provided by NCEP and downloaded from the Research Data Archive (http://rda.ucar.edu/datasets/ds083.2/) which is managed by the Data Support Section of the Computational and Information Systems Laboratory at the National Center for Atmospheric Research in Boulder, Colorado. The best track data were provided by JTWC form their Web site at http://www.usno.navy.mil/NOOC/nmfc-ph/RSS/jtwc/best_tracks/. All the simulations were conducted on the Earth Simulator at JAMSTEC. TN is supported by JSPS KAKENHI Grant Number JP26400475. MN is supported by HPCI Strategic Programs for Innovative Research Field 3 of MEXT and FLAG-SHIP 2020 project of the Ministry of Education, Culture, Sports, Science, and Technology (MEXT). - Compliance with ethical standards Funding The study was financed for one part by the European Union with the ERA-Net WoodWisdom program and namely to the project "BIOCOPOL-Enhancing wood durability and physical properties through innovative bio-based sustainable treatments." Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. - L.G-S, N.P-R, and E. S-P were supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health (NIMHHD/NIH, award no. 2U54MD007587). Infrastructure and instrumentation were available through a Pathway to Independence grant from the National Institutions of Health (NIH-K99/R00-NIH, award no. R00-DC009443) and a grant from the Puerto-Rican Science Trust to M. B. We want to thank Dr. Vincent Cunliffe for the generous gift of plasmids for in situ antisense probes, Dr. Guillermo Yudowski and Dr. Greg Quirk for critical reading of the manuscript, and all the undergraduates (Andre Calimano, Wendy Aquino, Roberto Rodriguez Morales, and Normarie Herrera) for help with fish husbandry. - The authors will like to thank the financial support in different moments from the "Coordenação de Aperfeiçoamento de Pessoal de Nível Superior" (CAPES) and the "National Council of Technological and Scientific Development" (CNPq), both from Brazil through a scholarship for the first author. - The authors express appreciation to Mr. H. Hara and Mr. M. Nagai for their valuable experimental assistance. - We wish to thank Dr Sergei Kotenko for the kind gift of the IFNlR1 and IFNl3 expression plasmids, Dr Georg Kochs for the Mx-Luc reporter plasmid and Dr Gilles Uzé for the gift of HL-116 cells expressing the IFNlR1. We are also in debt to Lisbeth Heilesen and Dr Hans Henrik Gad for critical reading of the manuscript. This work was funded by the Danish Cancer Society (grant: R20-A927; RH), and the Danish Council for Independent Research, Medical Research (grant 11-107588; RH); the Swiss National Science Foundation (project 31003A_132898; VT), the 3R Research Foundation Switzerland (project 128-11; VT and RD), and the Deutsche Forschungsgemeinschaft (Priority Programme (SPP) 1596; VT). - ACKNOWLEDGMENTS. We thank S. Allman and Z. Yang (Oak Ridge National Laboratory) for technical assistance; T. Vishnivetskaya for providing Human Microbiome Project SR1 pyrosequences; Ilka Heinemann, Jiqiang Ling, and Laure Prat for inspired discussions; the Human Microbiome Project research community for providing sequence data; and the developers of Integrated Microbial Genomes for analysis platforms. This work was supported by National Institutes of Health Grants R01 HG004857 (to M.P.) and GM22854 (to D.S.); Defense Advanced Research Projects Agency Contract N660-12-C-4020 (to D.S.); the Oak Ridge National Laboratory (managed by the University of Tennessee-Battelle) via the US Department of Energy Contract DE-AC05-00OR22725; and US Department of Energy Joint Genome Institute and Department of Energy Contract DE-AC02-05CH11231 (to P.S., T.W., and A.S.). - We thank the anonymous referee for helpful comments and suggestions that improved the clarity and robustness of the results. Z.G. thanks Prof. Douglas N. C. Lin for helpful discussions. We also thank Hiro Takami, Stefano Facchini, and Carlo Manara for discussions on RW Aur, and Petr Petrov for discussions on extinction in disk winds. We also thank all of the observers and staff who contributed to this project, including those at the HCT (operated by the Indian Institute of Astrophysics), YNAO, VBO, TNO, HCT, and Lulin observatories. We thank Guojie Feng, Chunhai Bai, Shuguo Ma, Guangxin Pu, Abudusaimaitijiang Yisikandeer, and Xuan Zhang from Xingjiang Astronomical Observatory for organizing and running the NOWT observations that are partially supported by the CAS "Light of West China" program (2015-XBQN-A-02). Z.G., G.J.H., and J.J. are supported by general grant 11473005 awarded by the National Science Foundation of China. J.N.F. acknowledges the support from the National Natural Science Foundation of China (NSFC) through grant 11673003 and the National Basic Research Program of China (973 Program 2014CB845700 and 2013CB834900). - We would like to especially thank the EAGeR participants for their extraordinary commitment to the study, all of the EAGeR investigators and staff who devoted their time and energy to the success of this trial, and the Data Safety and Monitoring Board members for ongoing oversight, constant support and advice throughout the trial. The authors have no conflicts of interest to disclose. - The authors wish to thank Mr. S. Kumeda and Miss K. Nakazawa for technical assistance. - The authors gratefully acknowledge the support of the Natural Science Foundation of China (NSFC) through Grant Nos. 11272229 and 11302144, and the Tianjin Research Program of Application Foundation and Advanced Technology through Grant Nos. 16JCYBJC18800 and 14JCQNJC05300. - We would like to thank Prof. S. Nechaev for useful discussions. - The authors would like to thank Alexander Dobin, Felix Schlesinger, Chris Zaleski, Carrie Davis and all other members of the Gingeras group at CSHL for their assistance and advice, as well as Richard McCombie and the CSHL sequencing facility for their services. We also thank Alexander Gann, Gregory Hannon, Zachary Lippman, Joshua Dubnau, Adrian Krainer, Brenton Graveley, Jacques Batut and Mike Levine for helpful discussions and advice. We are grateful to Thomas Kaufman and the FlyBase - This study was made possible by the generous transfer of field data from the Spanish Herpetological Association (AHE). We also thank Neftali Sillero for valuable advice on herpetological modelling. - Acknowledgments We thank Anna Maria Edlisca for technical assistance. - The authors acknowledge the patient for consenting to reveal the case details and photographs for publication. - Acknowledgements The paper was completed while the author was an exchange student at Columbia University. The author is grateful to Robion Kirby and Peter Ozsváth for their support and many helpful discussions. We thank Elisenda Grigsby, Ming-Lun Hsieh, Walter Neumann, Bjorn Poonen, Eric Urban and Shaffiq Welji for interesting discussions. Also, we would like to thank the referee for suggestions and comments on the first draft. - We are grateful to the Center of Excellence for Innovation in Chemistry (PERCH-CIC), Office of the Higher Education Commission, Ministry of Education, and the Department of Chemistry, Faculty of Science, Prince of Songkla University, for financial support. We also thank Professor Dr Brian Hodgson, Faculty of Science, Prince of Songkla University, for reading the manuscript and providing valuable comments. - To the Center for Applied Statistics -CEA, University of São Paulo Institute of Mathematics and Statistics for cooperation with the statistical analysis of study data. - Acknowledgements This work was funded by the Netherlands Organization for Scientific Research, Prins Bernard Cultuurfonds, and a scholarship from VSBfonds. We thank John Muller for technical advice and assistance with mechanical testing. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. - The work of H. Badali and M. T. Hedayati was financially supported by the School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran. I. Haghani is acknowledged for help in building up part of the sequence database. - Acknowledgements This work is partially supported by an EADS grant and NSF grants CNS-0916221 and CNS-0721951. - Ackowledgments: Authors thank the financial support from PRODEP (Grants DSA/ 103.5/14/10819), DITCo2015-13 and ICyTDF/231/2012. - Acknowledgments We thank all of the doctors, nurses, and pathologists who participated in this study. - We are grateful to the people of the Umkhanyakude District for their support. We especially thank the MDP staff members, MDP 301 trial participants and Africa Centre Community Advisory Board members who provided information for this study and commented on the findings after analysis. A special thanks to Sizakele Suzaki, Cebile Mdluli, Nkosinathi Mhlongo and Nozipho Ngwenya for their assistance in conducting the focus group discussions. The MDP 301 clinical trial was sponsored by the UK Medical Research Council (MRC) and funded by the MRC and the UK Department for International Development (DFID). Nuala McGrath is supported by a Wellcome Trust fellowship (grant # WT083495MA). the Africa Centre for Health and Population Studies, University of KwaZulu-Natal, South Africa, is supported through grants from the Wellcome Trust (G0100137). - We thank the referees for their suggestions to refine the presentation. - We wish to express our sincere thanks to Asahi Chemical Industry Co., Ltd. for supplying radioactive and authentic chemicals. We also express our gratitude to Prof. K. Kumada and other members of our laboratory for their invaluable suggestions and encouragement during the course of this study. - This work was co-financed by the German Federal Ministry of Education and Research in context of the joint project for immobilisation of long lived radionuclides by secondary mineral phases (ImmoRad, 02 NUK 019A). P.S. has been supported by the Academy of Finland through its Centres of Excellence Program (project no. 915804) and acknowledges the use of the computational resources provided by the Aalto Science-IT project. We thank Paul Fenter and Sang Soo Lee for the data processing routine. We acknowledge support by Deutsche Forschungsgemeinschaft and gratefully acknowledge the Helmholtz Gemeinschaft Deutscher Forschungszentren for supporting the Helmholtz-Nachwuchsgruppe "Structures and Reactivity at the Water/Mineral Interface" (VH-NG-942). K.V. acknowledges funding from the European Council (MC CIG 631186). - Acknowledgment: We thank Robert C. Hickey, MD, for his contribution to the development of endocrine surgery at the University of Texas M. D. Anderson Cancer Center, Houston, and in particular his role in the description of parathyroid autografting. - Funding for this study was supported by Natural Science Foundation of China (Nos. 31172101 and 41203018) and the Program for New Century Excellent Talents in University (NCET-12-0693). - The authors would like to thank Mrs. Jutta Mohr (Department of Gastroenterology, University Hospital Heidelberg, Heidelberg, Germany) for their technical support. - Acknowledgements: We wish to thank Anna Ijjas, Jean-Luc Lehners, Paul Steinhardt and Andrew Tolley for very useful discussions and comments on the manuscript. - The authors are grateful to Eduardo Fernandez-Arias and our discussants, Michael Bruno and Susan Collins, for helpful comments. This research was supported by the National Science Foundation, the German Marshall Foundation, the Thomas Ready Jr. Research Fund, and Conselho Nacional de Desenvolvimento Cientffico e Tecnol6gico. - The authors thank Steven Gygi for critically reviewing the manuscript. This work was supported in part by grants from the UT Southwestern Medical Center Endowed Scholar Program, the Cancer Prevention and Research Institute of Texas (CPRIT R1103), the Welch Foundation (I-1800), and NCI lung cancer SPORE (5P50 CA70907) career development award. - The authors would like to thanks the Southeast Asian Infectious Disease Clinical Research Network and the US. National Institute of Health for some serum samples from the 2009 pandemic influenza patients. Thanks are also to Dr. Anucha Apisarnthanarak, Thammasat University Hospital, Pathum Thani, Thailand for part of serum samples from health care workers. - Acknowledgement. The author would like to express sincere thanks to her supervisor A.N. Dudin for a suggesting this problem, a number of helpful comments and for help to improve this paper. - We thank Mr Vivek Kumar Sahoo and Mr Kishan Kumar Singh for preparation of movies. Funding from NISER and Department of Biotechnology (Govt. India, grant number BT-BRB-TF-2-2011) are acknowledged. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. - This study was partly supported by the Venture Business Laboratory of Yamaguchi University, the New Energy and Industrial Technology Development Organization (no. 03A02018a), the Ministry of Education, Culture, Sports, Science and Technology of KAKENHI (no. 17591406, no. 18390366), and Japan Society for the Promotion of Science KAKENHI (no. 187616). - We would like to thank S . Jin of AT & T Bell Laboratories for providing material for sample SJ3151B3 and B. Vuchic of ANL for the backscattered electron channeling patterns. - This work was supported by AIRC grants IG11346 to SC, IG10104 to DT, IG5975. - This work was supported in part by the Fundação para a Ciência e Tecnologia -FCT, under the grant number SFRH/BD/73129/2010, and the European Union (COM-PETE, QREN and FEDER), under the project REC I/EEI-SII/0360/2012 "MASSIVE -Multimodal Acknowledgeable MultiSenSorial Immersive Virtual Environments". This work is also supported by the project "TEC4Growth -Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020" is financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). - This work was supported by the Australian Research Council. - This work is supported by the Scientific Research Fund of Turgut Özal and Fatih universities under the project number P53011208_B. - We thank Professor Duco Hamasaki, Bascom Palmer Eye Institute, University of Miami, for his critical discussion and editing of the final manuscript. - Acknowledgments-We thank our colleague Dr. William Baird and the Center for Gene Research and Biotechnology for the long-term loan of an HPLC electrochemical detector and a Beckman HPLC unit, respectively, and we thank members of Dr. Baird's laboratory for instructions in use of the electrochemical detector. We thank Stella Martomo of this laboratory for assistance with the in vitro DNA replication reactions. Special thanks are due to Dr. Michael Tassotto for technical support. - The authors acknowledge financial support from the European research grant. A. S. is grateful to Dr Sara Costa and Dr Johan Ek Weis for fruitful discussions and helpful comments. - We would like to thank the Queensland Marine Wildlife Strandings and Mortality network and all contributors to the StrandNet database. We would also like to thank turtle rehabilitation facilities staff at Underwater World-SEA LIFE (Mooloolaba, QLD), Australia Zoo (Beerwah, QLD) and SeaWorld (Gold Coast, QLD) for providing access to their data. We would also like to thank Dr Jeffery Miller for his review of this document. - Acknowledgements. The National Center for Atmospheric Research is operated by the University Corporation for Atmospheric Research under sponsorship from the US National Science Foundation. Any opinions, findings and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors also thank the National Science Foundation (ATM 0852406) and the Austrian Science Fund (FWF): [L518]. Lisa Kaser is a recipient of a DOC-fFORTE-fellowship of the Austrian Academy of Sciences at the Institute of Ion Physics and Applied Physics. GMW acknowledges support from the NOAA Climate and Global Change Postdoctoral Fellowship Program. Finally, we thank the US Forest Service, specifically Richard Oakes, for logical support. - We made extensive use of the McMaster Cepheid Photometry and Radial Velocity Data Archive in both the selection of stars for the program and in locating photometric data for use in this paper. We are appreciative of the efforts on the part of Douglas Welch in providing this resource. This material is based on work supported by the National Science Foundation under grant 0097353. We are grateful to Roger Kirby, the Chair of the Department of Physics and Astronomy at the University of Nebraska, for his long and continued support of the operation of Behlen Observatory. - We thank the urological staff of the Buffalo Veterans Administration Hospital for their careful collection of tissue specimens, R. Keenan for his help in adapting methods to the special demands of this project. and T. A. Scott for his invaluable aid in preparing photographic material for morphometry . - This study, article processing charges and the Open Access fee was funded by Pfizer Inc. We thank James McManus, Poh-E Chong, and Ryan Lim of Kantar Health, Singapore, who conducted the survey on behalf of Pfizer. Medical writing support was provided by David Cope, PhD, of Engage Scientific Solutions, and funded by Pfizer. All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval for the version to be published. Disclosures. Rayaz Malik has participated in regional advisory board meetings for Pfizer and Novo Nordisk, and has received speaker fees from Pfizer, Lilly, Novo Nordisk, and Merck Pharma. Siew-Pheng Chan has participated in regional advisory boards for Pfizer, Novo Nordisk, Merck Sharp & Dohme, and Boehringer Ingelheim, and received speaker fees from Pfizer, Novo Nordisk, Merck Sharp & Dohme, Boehringer Ingelheim, Novartis, and AstraZeneca. Chaicharn Deerochanawong has received consulting and/or speaker fees from Abbott, AstraZeneca, Boehringer Ingelheim, Novo Nordisk, Eli Lilly, Sanofi, MSD, and Merck. Chii-Min Hwu has received consulting and/or speaker fees from Pfizer, Merck, Bayer, AstraZeneca, and Sanofi, and research funds from Merck, AstraZeneca, and Sanofi. Raymond Rosales has participated in local and regional advisory boards for Pfizer, received speaker fees from Pfizer, Abbott, Novartis, Ipsen, Boehringer Ingelheim, Otsuka, Sun, and Menarini, and received honoraria as a clinical trial investigator for Pfizer, Novartis, and Ipsen. Emre Aldinc is an employee of, and owner of stocks or stock options in, Pfizer. Koichi Fujii is an employee of, and owner of stocks or stock options in, Pfizer. Bruce Parsons is an employee of, and owner of stocks or stock options in, Pfizer. Chun-Yip Yeung has nothing to disclose. - The authors would like to appreciate and acknowledge Bournemouth University, UK and National 479 University of Sciences and Technology (NUST), Pakistan to support and sponsor for conducting this 480 research. - We thank C. W. CoUmer for providing cDNA clones of D-, S-CARNA 5 and their chimeras, and R. W. Hammond for helpful advice on site-directed mutagenesis. We also thank M. E. Tousignant and L. Geletka for expert assistance. This work was carried out at the USDA, Beltsville Agricultural Research Center, under a cooperative agreement with the University of Maryland, College Park (Project Director, Dr Shain-Dow Kung), and is in partial fulfilment of a Ph.D. degree by G.W. - The authors would like to give their thanks to Ms Chris Jarrett, Senior Assistant Librarian, University of the West of England, Mr David Courtney, Oral & Maxillofacial Surgery Consultant, Derriford Hospital, Plymouth and Dr John Bradford for assistance in undertaking this systematic review. - The aiiilioi wishes to tliank Dr. Howard H. Seliger - The author thanks Dongduk Women's University for their permission of a sabbatical leave to enable this research. - Acknowledgments: Our work had received important English editing from MDPI. - The authors would like to acknowledge the participants of all studies in the manuscript. Funding the Candidate Gene Association Resource (CARe) is supported by contract number HHSN268200625226C from the National Institutes of Health (NIH)/National Heart Lung and Blood Institute (NHLBI), and subcontract number 5215810-55000000041 to C.L.W. A full listing of the grants and contracts that have supported CARe is provided at http://public.nhlbi.nih.gov/GeneticsGenomics/home/care.aspx. Please see information in supplementary information file for a complete list of funding information for each study participating in this manuscript. - Acknowledgments: the European Social Fund and National Resources) (EPEAEK II PYTHAGORAS, the German DFG, the Irish DIAS and the Swedish Vetenskapsrådet and computer centre HPC2N (Umeå) have supported this project. - We thank Dr. Pumtiwitt McCarthy for preliminary studies, Dr. Ronald Raines for advice concerning RNase expression, Dr. Vamsi Kodali for help with the design of the RNase mutant proteins, and Dr. Kiran Madura and coworkers for a gift of the Ubc4 plasmid and for advice concerning protein purification. - Acknowledgments: This work was supported by grant SAN151610 from the Santander Foundation. Grant 2016/UEM08 from European University of Madrid is also acknowledged. - The authors would like to thank Naihe Jing and Shengbao Suo for critical reading of the manuscript. - This research was supported by Grant 53932 from the National Institute of Mental Health to the last author and was supported with resources and the use of facilities at the VA HSR & D Houston Center of Excellence (HFP90-020). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIMH, the National Institutes of Health, the Department of Veterans Affairs or Baylor College of Medicine. The NIMH had no role in the design and conduct of the study; the collection, management, analysis and interpretation of the data; or the preparation, review or approval of the manuscript. We thank Anthony Greisinger and the staff of the Kelsey Research Foundation and Kelsey-Seybold Clinic, who provided consultation and assisted with recruitment. Portions of this work were presented at the 2008 convention for the Association for Behavioral and Cognitive Therapies, November, Orlando, FL. p < 0.001 PSQI = Pittsburgh Sleep Quality Index; GAD = generalized anxiety disorder - The authors thank Dr. Stanko Stojilkovic and Dr. Andrés Stutzin for the critical review of this paper, Dra Marcela Hermoso for TLR-4 antibody, Dr. Jaime Eugenin for A74003, Manuela Jimenez, Felipe Reyes, Belgica Villegas, Yohana Labra, Carolina Beltran, and Gino Nardocci for technical assistance. This work was funded by FONDECYT 11070117, DICYT USACH, and PBCT. A.Penna and E. leiva - We thank Akiko Matsuyama and Junpei Ueno for technical assistance. - We wish to thank A.-L. Holopainen, who was responsible for organising the phytoplankton samplings in Lake Pyhäselkä and interpreting the results during the study period 1987−2009. We also thank the diligent and skilful technicians and laboratory workers for taking and analyzing the samples, K. Kyyrönen for drawing the map figure, and two anonymous reviewers for their valuable comments on the manuscript. Financial support provided by the Centre of Expertise in Biology of Environmental stress and Risk Assessment (University of Eastern Finland) and the Academy of Finland (Project 14159) is gratefully acknowledged. - This work was supported in part by R01CA070896, R01CA075503, R01CA086072, R01CA137494, (R.G. Pestell), the Sideny Kimmel Cancer Center NIH Cancer Center Core grant, P30CA56036 (R.G. Pestell), a generous grant from the Dr. Ralph and Marian C. - The authors are grateful to Mr Muhammad Hussain of Bana International for providing technical support to the Materials Chemistry Laboratory, Government College University. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: BT5205). - Acknowledgments We are grateful to the students for their participation in this project. We would like to thank Dr Susan van Schalkwyk for her insightful comments on the manuscript. This material is based upon work financially supported by the National Research Foundation in South Africa. Financial support from the Foundation for the Advancement of International Medical Education and Research is also gratefully acknowledged. - Acknowledgments-We thank Dr. Rob Reiter for the xenografts and Dr. John Svaren for the critical reading of this manuscript. - Acknowledgment. This research was supported by the German Research Society (DFG grants no. NA 432 and GRK 316), and by the German Ministry of Research (InterVal Berlin Research Center for the Internet Economy). - Financial Support: None. - We would like to thank the Director of Kenya Medical Research Institute for permission to publish the data. We would also like to thank the Educational Assessment and Resource team in Kilifi. Most importantly we would like to express our appreciation for the involvement of the mothers, their children and other family members who participated in this study. This work was supported by KEMRI/Wellcome Trust research programme and the C.P. Trust (UK). Charles Newton is supported by Wellcome Trust, UK. - The author is grateful to Council for the Development of Economic and Social Research in Africa (CODESRIA) for providing small grant for thesis writing for the PhD research project from which the data for this paper is derived. - This study was supported in part by a research grant on Tissue Engineering (H17-014) and a research grant on Allergic Disease and >Immunology (H20-015) from the Japanese Ministry of Health, Labour and Welfare. We thank Vipul N Mankad, MD (the former Senior Vice-President and Chief Medical Officer), Children's Hospital and Research Center Oakland, CA, USA for editorial assistance and critical comments. - N. E. C. was supported by a Wellcome Trust Research Leave Fellowship during the writing of this review. - The author is grateful to Taissa Rodrigues, David Martill, and Philipp Trikolidi for help with literature and to Hans Sues for reviewing and editing the manuscript. This work was supported by the Russian Scientific Fund project 14-14-0015. - Funding for this work was provided by the EPSRC for the project "the use of probabilistic climate data to future-proof design decisions in the buildings sector" (PROMETHEUS) under grant No. EP/F038305/1. - We would like to thank the numerous contributors at each donating institution (see Supplementary Table 1 and http://fcon_1000.projects.nitrc.org/indi/abide/) as well as the www.nitrc.org team for providing the data-sharing platform. We are particularly thankful to Tanmay Nath for support in aspects of website organization and assistance in some aspects of MRI data review. - This work was supported by Slovenian Research Agency within the research program P2-0393; Advanced materials for low-carbon and sustainable society. - Acknowledgments We thank Prof Dr Volker Ewerbeck for his inspiring mentorship and the help with interpretation of the data. - We thank Nicolas Servant for providing the discretized copy number profiles of breast tumor samples, Tatiana Popova for assistance in the analysis of bladder SNP data, and Alain Aurias for his useful advice. This work was supported by the Centre National de la Recherche Scientifique, the Institut National de la Santé et de la Recherche Médicale, the Institut Curie, the Institut National Contre le Cancer, the Ligue Nationale Contre le Cancer. - We thank Tanja Stevens, Institute of Pharmacology and Toxicology, University of Bonn, Germany for expert technical assistance. For performing electron microscopy and providing the images we are very thankful to Joerg Bedorf, Institute of Pathology, University of Bonn, Germany. For intellectual input to the study we are grateful to Noushin Delmdahl, Sartorius Stedim Biotech GmbH, Goettingen, Germany. - The extract from the BCIS registry was provided through the British Cardiovascular Intervention Society (BCIS)/ National Institute for Cardiovascular Outcomes Research (NICOR). We gratefully acknowledge all the hospitals in England and Wales for their contribution of data to BCIS. - We wish to acknowledge the support of the Social and Economic Transformation in Asia Fund for their financial support. - The authors would like to acknowledge the assistance of Dr. Ben Wernham, Dr. Brian Trumpatori and Mr. Jon Hash in the collection of data, and Tonya Lee for manuscript editing assistance. - Acknowledgements. We wish to express our appreciation to Kaija Hyrkas for demonstrating the method on the flower buds of clovers; to the Department of Plant Breeding at the Universityof Helsinki for providing the facilities; to Margret Steinarsdottir for providing photographic equipment; and to the Science Foundation of Iceland for financial support. - We would like to thank Brad Vierra and Mike Bremer for their kind invitation to - Acknowledgements. We are grateful to Regina von Berlepsch, Potsdam, and Pierre Leich, Nürnberg, the ECHO digital heritage online, and the Swiss Electronic Library, E-lib.ch, for providing electronic versions of a number of historic publications and manuscripts. We are very grateul to Ralph Neuhäuser for pointing to the original work by Marius, and to Clara Ricken and Yori Fournier for their help with translations of original sunspot records. This work was partly done in the framework of the ReSoLVE Centre of Excellence (Academy of Finland, project No. 272157) and partly supported by the BK21 plus program through the National Research Foundation (NRF) funded by the Ministry of Education of Korea. J.M.V. acknowledges the support from the Junta de Extremadura (Research Group GrantsGR10131) and from the Spanish Government (AYA2011-25945 and AYA2014-57556-P. D.S. acknowledges Project RFFI 15-02-01407. W.S. received no funding for his contribution to this paper. Support from the COST Action ES1005 TOSCA (www. tosca-cost.eu) is gratefully acknowledged. - We thank Raymond Kwan for assistance with hESC culture, Dr. Nagesh Rao, Ph.D. at the UCLA Clinical Cytogenetics lab for Fluorescence in situ hybridization, Dr. Angela Chen from UCLA OB/GYN for human tissues, Xinmin Li at the UCLA clinical microarray core facility, Jing Wen Tan and Dr. Rachel Kim of the UCLA Broad Stem Cell Center hESC core facility. This work is supported by funds from the UCLA Department of Molecular Cell and Developmental Biology, STOP Cancer Foundation and NIH P01 GM081621-01A1 (to A.T.C., Z.G., M.A.T., H.K.A.M., and K.P.). - This work was supported in part by U.S. National Science Foundation under Grants CNS-1247848, CNS-1l16749, CNS-0964713, U.S. Office of Naval Research under Grants NOOOI4-13-1-0043, NOOOI4-11-1-0865, and National Science Foundation of China (NSFC) under Grant 61372097. - This work was supported by MIUR (Italian Minister of University & Research) project "Sviluppo tecnologico e innovazione per la sostenibilità e competitività della cerealicoltura meridionale MIUR-UE (PON01_01145/1-ISCOCEM)". - We thank the US Department of Energy for funding and supporting this work. We thank the Dow Chemical Company for allowing the use of their kinetic model, which was integrated into NREL's process model for converting biomass to mixed alcohols for the techno-eco nomic analysis. We thank Don Kaczmarek at USFS Southern Research Station and Kenneth Skog at USFS Forest Product Laboratory for their assistance with the water footprint analyses. We also thank Danny Inman and Yimin Zhang for their assistance with the LCA analyses. - The authors acknowledge the European Union FP6 Chemomentum Project (grant: IST-5-033437), Estonian Science Foundation (grants: 5805, 7709), Estonian Ministry for Education and Research (grants: SF0182644Bs04, SF0140031Bs09, IUT34-14), and European Union Regional Development Fund (grant: 3.2.1201.13-0021). - We thank E. Dierichs-Schmitt and B. Mühlbauer for technical assistance. We are also grateful to M. Heisenberg - The authors are grateful to their colleagues and primary medical workers from Kangjian, Xujiahui, Huamu, Weifang, Gongyequ, and Huangdu CHCs who assisted the field data collection. They are also grateful to Professor Doris Young (Department of General Practice, University of Melbourne, Carlton, Melbourne, VIC, Australia) for her helpful comments on this study. This study was supported by Project of Shanghai Foundation for Senior Citizens (S15027), Construction Project of Key Discipline of Public Health in Shanghai (12GWZXl001), and Shanghai Municipal Commission of Health and Family Planning, Key Developing Disciplines (2015ZB0601). - Ce rapport est issu d'une collaboration entre le programme pour le développement économique et la création d'emplois locaux (LEED) du Centre pour l'entrepreneuriat, les PME et le développement local de l'OCDE et la direction générale de l'emploi, des affaires sociales et de l'inclusion de la Commission européenne. - The authors would like to thank Museum of London Archaeology and Steven Birch and Martin Wildgoose for access to the samples shown in this study. Grateful thanks to Jacqueline Towers and Andy Gledhill, University of Bradford for their advice and comments on the diagrams. We are indebted to the helpful comments of the reviewers. - Acknowledgements: We thank Herbert Schwegler for advice concerning the histology of testis. This work was supported by the Deutsche Forschungsgemeinschaft, the Thyssen Stiftung and the Fonds der Chemischen Industrie. - We greatly appreciate advice on data analyses and critical reviews from Sang-Hun Oh, Sandra Floyd, Daniel Potter, and Mike Sanderson and assistance in hybrid analyses by Dale Cox. We thank David Smyth, Charles Gasser, Yuval Eshed, Stuart Baum, Andreas Franzke, and the members of the Bowman laboratory for fruitful comments and insights. We also thank three anonymous reviewers for improving this manuscript. We thank people and institutions who kindly provided plant material, including Ellen Dean at the University of California Davis Herbarium. This work was supported by a Beckman Young Investigator Award (to J.L.B.). - This work was supported by the grant from the Sci-Tech Project Foundation of Guangdong Province (No. 2012B031800287). - Acknowledgments The authors would like to thank S. Hauser for preparing the test setup. This work has been supported in part by the Nano-Tera research program (ULP-Logic) funded by the Swiss Confederation. - Additional funding provided in part through the Arthur and Julie Woodrow Chair, a Joan Klein Jacobs and Irwin Mark Jacobs Senior Scientist Endowed Chair. - We thank Sabine Häder for technical assistance, Cristina Paulino, Gerhard Hummer, Klaus Fendler and Christine Ziegler for discussion, and Pavol Skubak for the beta version of the Crank2 software. Crystals were screened at the beamlines id23.1 and id29 of the European Synchrotron Radiation Facility (ESRF)/Grenoble and data were collected at the Max Planck beamline PXII of the Swiss Light Source (SLS). This work was funded by the Max Planck Society; the Frankfurt Cluster of Excellence Macromolecular Complexes; the Frankfurt International Max Planck Research School; and SFB 807 'Transport and communication across biological membranes'. - The author thanks Hiroshi Hirai and Kazuo Murota for careful reading and numerous helpful comments. The author also thanks the referees for helpful comments. In particular, Algorithms II and III (for Types II and III, respectively) are suggested by one of the referees. This research was supported by JSPS Research Fellowship for Young Scientists. - This investigation was sponsored by the Grant Number 1R21 AR056416 from NIAMS. Dr. Xiaoling Fu was supported by the Innovation & Entrepreneurship Doctoral Fellowship from the Stevens Institute of Technology. - We are thankful to Dr. Hua-Lin Wu and Dr. Guey-Yueh Shi (Department of Biochemistry, Medical College, National Cheng Kung University, - The authors would like to thank Madison Stroup, Nate Spofford, Emily Maxwell, Richard Bruno, and Jill Waldman for their contributions to subject recruitment and data collection. This work and the authors were supported by a grant from the National Institute of Neurological Disorders and Stroke, K08 NS52147 (BJN), the Dana Foundation (BJN), and grants from the National Institute on Alcohol Abuse and Alcoholism, T32 AA007468-24 (KMS) and F31-AA019866 (MMH). - We thank S. Beckmann and F. Langenberg for their analytical support. Financial support was provided by the German Federal Ministry of Education and Research (BMBF) grant 03G0806B (CARIMA) and is gratefully acknowledged. This is a NIO contribution. Data will be available at www.pangaea.de. - The authors would like to express their thanks to Drs. Niels C. Bols and Lucy Lee (University of Waterloo, Canada) for providing RTL-W1 cells. - We would like to thank all the co-authors of our publications along the direction of 'layering as optimization decomposition'. - The authors thank all of the investigators and all supporting staff. - The authors thank the nursing students of the University of Fort Hare, for their participation in this study, as well as Professor C.M. Walsh of the University of the Free State for her meaningful contributions. Partial funding for this study came from the Govan Mbeki Research and Development Centre (RDC) and the University of Fort Hare. - The authors are thankful to Professor Y.Iwashimizu at Ritsumeikan University, Associate Professor E.Matsumoto at Kyoto University, and Messrs. T.Miya, F.Fujita and F.Nishiyama at Sonix Co. for useful advice to establish this measurement system. We also thank Dr. K.Kimura for the supply of SNCM439 steel alloy specimens. - The authors are deeply grateful to Laurent Praly and Alessandro Astolfi for helpful suggestions. - We are grateful to T. H. de Koker, Department of Microbiology, University of Stellenbosch, for doing the computer analysis of the RAPD-PCR profiles. - This work was supported by the Robert S. McNamara Fellowships Program and the UNDESERT (EU FP7 243906), "Understanding and combating desertification to mitigate its impact on ecosystem services" funded by the European Commission, Directorate General for Research and Innovation, Environment Programme for financial support. - This research was motivated and in part supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under Award Number R01DK101593. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors appreciate Austin B-Cycle data provided by the system's Executive Director, Elliott McFadden, in additon to the system planners who shared their insights through interviews. The authors would like to acknowledge the valuable comments of three anonymous reviewers on an earlier version of this paper. The second author would like to dedicate her part of the research efforts to the memory of her dear father, Erdinc Sener, who passed away in October 2015. - The authors thank Dr. Siti Norlailli Aiza, Dr Nazirah and the staff nurses at the Wound Clinic (Sister Julizaayu, Sister Norita, - Acknowledgements. We thank the two anonymous reviewers for their constructive and helpful suggestions on earlier drafts of this paper. J. M. C. Pereira participated under the scope of research project FUME -Forest fires under climate, social and economic changes in Europe, the Mediterranean and other fire-affected areas of the world, European Commission FP7-ENV-2009-, Grant Agreement Number 243888. - We thank Dr Y Gille of the bacteriology department, Hopital de l'Antiquaille, Lyon and Dr Y Li of the histology department, Alexis Carrel Medical University, Lyon for their technical help. - All computational experiments were carried out on the Grid 5000 experimental testbed, which is being developed under the INRIA ALADDIN development action with support from CNRS, RENATER, and several universities as well as other funding bodies (see https://www.grid5000.fr). - The work presented herein was funded in part by the Advanced Research Projects Agency -Energy (ARPA-E), U.S. Department of Energy under Award Number DE-AR0000149. Computations were performed in Joint Supercomputer Center of the Russian Academy of Sciences. - The present contribution presents some results of a Research Work currently carried on in the Dipartimento di Architettura e Urbanistica of the Politecnico di Bari and funded by the Puglia Regional Administration: PE077 PARCHIAPERTI (POR 2000). - We would like to thank M. Carena, M. Pietroni, M. Quirós and C.E.M. Wagner for useful discussions. - We thank Hanna Ten Brink and Mårten Söderquist for assistance in the laboratory. - The authors thank Stephanie Schmidt for her assistance with the collection of biological specimen. KFAL was supported by Hills Pet Nutrition and AEJ by the German Research Foundation. - All experimental work was completed at, and funded by Nottingham Trent University, School of Architecture, Design and Built Environment. There is no conflict of Interest. - We wish to thank Dr Bruce Schaar for critical reading of the manuscript and Dr Tim Schallert for helpful suggestions. - The authors would like to thank Dr J. A. Antonioli for the statistical analysis and Ms Anne Luyet-Klein for expert technical assistance. - My great appreciation goes to my advisor Werner Stuetzle. - We thank the Secretaría de Cultura de La Rioja and the Administración de Parques Nacionales (APN) for granting permits to work in the Talampaya National Park. We are also indebted to the rangers of the Talampaya National Park for their help in the field and discussion with José F. Bonaparte about the Chañares Formation. We thank the following technicians that helped during data collection: Maximiliano Iberlucea (MACN-CONICET), Sergio de la Vega (CRILAR-CONICET), and Tonino Bustamante (CRILAR). - This research was supported by Dr. Bo-Young Oh with data analysis. - The authors are grateful to the New Zealand Meteorological Service for permitting access to the Albert Park enclosure and access to the Lambrecht gauge chart. They are also indebted to the Research Committee of the University of Auckland for financial assistance. - The authors are grateful to Pat Hall and Kate Grier for providing original copies of Figures 1 and 3 , respectively. This conference has been organized with the support of the Department of Physics and Astronomy "Galileo Galilei", the University of Padova, the National Institute of Astrophysics INAF, the Padova Planetarium, and the RadioNet consortium. RadioNet has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 730562. - The authors cordially acknowledge the staff of Tomishiro Central Hospital, Okinawa, Japan, especially Kaori Ichimatsu, at the Nutrition Division, for the diet protocol and Hiroe Shinjo, Saeko Nakamura, Ayano Kamiyama, Merina Ohta and Megumi Yonaha, at the Diabetes and Lifestyle-related Disease Center, for their devoted secretarial work and Hiroyuki Oshiro, Okinawa Shokuryo K.K., Okinawa, Japan for BR and WR. The present study was supported by grants from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) and the Ministry of Health, Labour and Welfare (MHLW), Japan. MEXT and MHLW had no role in the design, analysis or writing of this article. The authors' contributions are as follows: Mi. S. designed the present study, analysed the data and wrote the manuscript; M. H. was involved in patient management, data collection and discussion; R. K. performed the vascular function study; Ke. Y., H. T., C. K., Ko. Y., S. T., Ma. S. and H. M. contributed to the discussion. None of the authors has any conflicts of interest. - We thank Prem Prakash Khushwaha for his help in cloning L36A/M63L CcdB and Chetana Baliga, Nandini Mani, Anushya P. and Farha Khan as well as other members of the RV laboratory for useful suggestions. - This work was supported in part by U.S. Public Health Service Grant AM-05285 to the Institute of Nutrition Sciences, Columbia University, and the American University of Beirut. We acknowledge the technical assistance of R. J. Thompson. - John Lis generously supplied SPT5 antibodies and plasmids. The Bloomington Drosophila Stock Center supplied flies. - DJK is supported by a Career Development Fellowship from the Australian NHMRC and Discovery Grant from the Australian Research Council. The research of JR has been funded by several grants from the Deutsche Forschungsgemeinschaft. PT was supported by a Project Grant from the Australian NHMRC. RZ was supported by the Research Agency of Slovenia (grant numbers P3 0310, J3 4051, J3 4146, J3 3632, J3 6790) and by CipKeBip. The authors declare no conflict of interest related to this publication. - Acknowledgements BOSC is a community effort. We thank all those who made BOSC 2016 possible, including the speakers and panelists, poster presenters, organizing committee, review committee, our sponsors, and ISMB SIG chair Steven Leard. The 2016 BOSC organizing committee consisted of Nomi Harris and Peter Cock (Co-Chairs) along with Brad Chapman, Chris Fields, Karsten Hokamp, Hilmar Lapp, Mónica Muñoz-Torres and Heather Wiencko. The members of the review committee are listed on the BOSC 2016 page. - We thank the Boeke lab for providing us with the magic marker, Gregg Wildenberg for help with cell sorting, Miguel Coelho and Phoebe Hsieh for help with library generation, Bertus Beaumont, Michael Desai, Vlad Denic, Cassandra Extavour, Michael Laub, and Melanie Mueller for critical reading of the manuscript, Roland Wedlich-Soldner and members of the Murray and Nelson labs for useful discussions. This work was supported by grant GM06783 from the National Institute of General Medical Sciences. LL gratefully acknowledges support from the Netherlands Organization for Scientific Research through a Rubicon grant, as well as from the Human Frontiers Science Program through a cross disciplinary post-doctoral grant. - This study was supported by grants RD2017-016 and CTU106-P-16 from the National Yang-Ming University Hospital, Yilan and CentralTaiwan University of Science and Technology, Taichung, Taiwan, respectively. - This study has been funded by Hungarian Scientific Research Grant (OTKA K100295 to Peter Igaz; OTKA, PD100648 to Attila Patócs) and Technology Innovation Fund, National Developmental Agency (KTIA-AIK-2012-12-1-0010). - We thank Beth Lin and Dr. Joseph S. Wall at the Brookhaven National Laboratory STEM Facility for their assistance in sample preparation and STEM data collection. - The authors wish to thank R. A. Cowley, M. Hagen, U. Steigenberger, and I. P. Swainson for many helpful discussions, and the EPSRC for financial support. - We would like to thank the Genentech sequencing core facility for sequencing the CRISPR guide RNA abundances. We also thank Jeff Settleman and Shiva Malek for useful discussions. - This research is supported by a Royal Society Research Professorship and ERC AdG VERIWARE. - We are grateful to Gilles Fischer for fruitful discussions and his invaluable advice, and to Marie-Pauline Beugin and Kenny Dubois for L. kluyveri strain constructions and meiotic protocols set up. - We gratefully acknowledge D. Schindler for extensive consultation, editorial guidance, and support in the field. We thank friends and colleagues in the University of Washington Alaska Salmon Program for assistance in the field, D. DeAvila at the Center for Reproductive Biology at Washington State for laboratory analyses of cortisol and J. Dickey at the Northwest Fisheries Science Center, NOAA for laboratory analyses of sex steroids. We also thank K. Forsgren, C. Vynne, and S. Wasser for methodological guidance and consultation. - We thank Wendy Price for coordinating necropsies and histopathological services. - The authors and editors of Expert Review of Gastroenterology & Hepatology would like to sincerely apologize for any confusion or inconvenience this may have caused. - This work has been partially supported by the Polish National Centre for Research and Development project no. PBS1/A3/14/2012 "Sensor Data Correlation Module for Attack Detection and Decision Support" and by the European Regional Development Fund the Innovative Economy Operational Programme, under the INSIGMA project no. 01.01.02-00-062/09 and under the project "Cyber Security Laboratory" no. 02.03.00-14-106/13. - This study was supported by the National Natural Science Fund of China (No. 41601336), the National Basic Research Program of China (973 Program, No. 2014CB238906), and the Beijing Natural Science Fund (Development of heavy metal immobilization agents and its control mechanism in the process of urban sewage sludge amended sandy soil, No. 8152025). - The authors thank Professor Mary Molokwu for assistance with data collection. JCG was supported by CONACyT grant no. 152666. - This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior (CAPES). - We thank R. S. Rosa for his help in identifying the stingray; M. J. A. Vilela and O. C. Forster for their help in identifying Pimelodella gracilis; M. T. Silveira, K. C. Barbaro, D. M. Rangel, M. Lira and S. H. P. Moura for their field assistance; I. Sazima for improving our manuscript. D. Garrone Neto received financial support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for studies on stingrays in the Upper Paraná River. - The authors would like to acknowledge Dr. Robert Reid for his assistance with creating Figure 2 . - The authors acknowledge the use of the Consortium for Functional Glycomics' Glycan Microarray and Core H of the CFG for analysis of the binding assays. We also thank Jessy Tremblay for his help with the confocal imaging and flow cytometry. Furthermore, we are grateful for Micheline Letarte's assistance with transmission electron microscopy, Dr Carole G. Campion's participation in the in vivo experiments and Dr Dominique Trudel for her insightful comments. - This work was supported by the National Natural Science Foundation of China under Grants 61074073 and 61034005, the Fundamental Research Funds for the Central Universities (Grant nos. N130504002 and N130104001), and Synthetical Automation for Process Industries (SAPI) Fundamental Research Funds 2013ZCX01-07. - This work was supported in part by the National Natural Science Foundation of China (61271320 and 60872102) and the Small Animal Imaging Project (No. 06-545). The authors would like to thank Dr. Yonggang Zhao for inspiring discussion, Liming Tan for contributing to the project, and Dr. Jinliang Pen for supporting the experiments in fluorescence imaging. We are thankful to the anonymous reviewers for their valuable comments that greatly helped to improve this paper. - We thank Dagmar Lewejohann for expert technical assistance and Leila Matter, Dennis Kahlisch, and Prof. Dr. Udo Schmitz for critical reading of the manuscript. Received December 19, 2003; returned for revision January 13, 2004; accepted January 13, 2004. - This study was supported by research grants to DLG from the National Institute of Neurological Disorders and Stroke (NIH R01 NS029563), the National Institute of Mental Health (NIH R01 MH096120), and the National Science Foundation (IOS 1121690). We thank S Apichon, B Cheema, ME Kimbrough, V Kong, D Miresmaili, EJ Moc, A Rangchi, R Sumner, X Zhao and A Zobi for assistance with the behavioral training, and S Chen, A Bédécarrats, FB Krasne and WS Sossin for helpful comments on the manuscript. - We acknowledge funding by the Austrian Science Fund (FWF) under grant numbers P21463-N22, SFB049-Next Lite, SFB041-VICOM and V193-N16, and by a SIRG grant from the ERC. - We acknowledge the grant support of NHLBI HL57529, NHLBI HL101959 and NIA AG03653. This report is based on a larger project with additional primary contributions by Dr. Matthew Muldoon, Julie Price, and Dr. Carolyn C. Meltzer. Study sponsors did not have a direct role in this study. - Grateful thanks are extended to Jersey Heritage, the Société Jersiaise, the States of Jersey Department of Planning and Environment, and Jersey Digimap; to the NERC, AHOB 3 and CAHO for excavation funding. BS's contribution forms part of the AHOB 3 and 'Pathways to Ancient Britain' projects, funded by the Leverhulme Trust and the Calleva Foundation. GS was funded by the QRA. We also thank Lucy Bolton, James Cole, Sam Griffiths, Andy Needham, Dave Underhill, Karen Ruebens and Rebecca Wragg-Sykes. - Acknowledgments This work was supported in part by a Grant-in-Aid for Scientific Research and a High Technology Research Center Project, from the Ministry of Education, Culture, Sports, Science and Technology of Japan. - Acknowledgements. I am grateful to Roland Diehl and to the referee, Mark Leising, for valuable comments on the manuscript. - We would like to thank David Poeppel, Diogo Almeida, and Philip Monahan for helpful comments on earlier versions of this manuscript. - The authors are very grateful to Emeritus Professor Sajiro Makino, M. J. A., for critical reading of the manuscript. The senior author is grateful to Professor Fred I. Kamemoto of the University of Hawaii for his invariable advice to the present study. This study was supported partly by a Grant fromm the Nihon University and Nihon University Ota Overseas Academic Fund. - Acknowledgements. The Fermi LAT Collaboration acknowledges generous ongoing support from a number of agencies and institutes that have supported both the development and the operation of the LAT as well as scientific data analysis. These include the National Aeronautics and Space Administration and the Department of Energy in the United States, the Commissariat à l'Energie Atomique and the Centre National de la Recherche Scientifique. Institut National Array is a joint project between the Smithsonian Astrophysical Observatory and the Academia Sinica Institute of Astronomy and Astrophysics and is funded by the Smithsonian Institution and the Academia Sinica. This research was funded in part by NASA through Fermi Guest Investigator grants NNH09ZDA001N and NNH10ZDA001N. This research was supported by an appointment to the NASA Postdoctoral Program at the Goddard Space Flight Center, administered by Oak Ridge Associated Universities through a contract with NASA. We thank Neil Gehrels and the Swift team for scheduling our Target of Opportunity requests. This research was enabled in part through Swift Guest Investigator grants 6090777. We thank Silvia Rainò for useful comments and suggestions. - This research was financially supported by the National Science Council of Taiwan (NSC95-2113-M-027-001). - We acknowledge John Bartlett (Forsyth Institute) and Toshihiro Sugiyama (Akita University) for kindly providing the ameloblast-like cells. We thank Sandra Wiley for technical assistance and Lisa Kinch (UT Southwestern Medical Center) for sequence analyses. We also thank Gregory Taylor and Carolyn Worby for carefully reading and editing the manuscript and members of the JED laboratory for insightful discussions. - This work was supported in part by PHS research grants EY 02120 and EY 01765 (Dr Quigley, and Wilmer Institute Core grant), EY021500 and support from the BrightFocus Foundation (Dr. Nguyen) and by unrestricted support from Saranne and Livingston Kosberg and from William T. Forrester. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors would like to thank Peter Campochiaro for his expertise in assisting with electroretinography. - We would like to thank the ESPCI neurobiology team of Zsolt Lenkei, especially Diana Zala and Maureen McFadden for animal tissues and advice on biological questions, and Danijela Vignjevic's team at the Institut Curie, in particular Ralitza Staneva for studies on cancer in small animal models. We thank all the LLTech staff for their support, the Curie Hospital and the Institut Gustave Roussy for allowing us to make preliminary tests on human tissues, Amaury Badon for the preliminary tests on SVD and for useful advice for future development, Amy L. Oldenburg for communicating her preprint before publication and finally Kate Grieve for her time and valuable suggestions. - We acknowledge the generous support of Gopal Savjani and Dr. Jehangir Mistry of Diagnostic Systems Laboratories, Inc., for the support of this study. - The authors would like to thank Prof. Thomas Kailath for a helpful discussion during the preparation of the paper. - We gratefully acknowledge the help and support of the PS beam staff and of the numerous technical collaborators who contributed to the detector design, construction, commissioning and operation. In particular, we would like to thank G. Barichello The experiment was made possible by grants from the Institut Interuniversitaire des Sciences Nucléair-es and the Interuniversitair Instituut voor Kernwetenschappen (Belgium), Ministerio de Educacion y Ciencia, Grant FPA2003-06921-c02-02 and Generalitat Valenciana, grant GV00-054-1, CERN (Geneva, Switzerland), the German Bundesministerium für Bildung und Forschung (Germany), the Istituto Nazionale di Fisica Nucleare (Italy), INR RAS (Moscow) and the Particle Physics and Astronomy Research Council (UK). We gratefully acknowledge their support. This work was supported in part by the Swiss National Science Foundation and the Swiss Agency for Development and Cooperation in the framework of the programme SCOPES -Scientific co-operation between Eastern Europe and Switzerland. - The authors thank Mr Phil Dyson and Mr Ian Rankin (Northern United Forestry Group, Bendigo, Australia) for expert advice on Australian saltbushes and Acacia species and their applications in reclaiming salinity-affected landscape. This work was supported by the Australian Research Council grant LP0990326. - The authors are grateful for the assistance of Benoit Lebot, Olivier Sidler, and Alan Meier for helping with the acquisition of SEM 10 electrical meters used in the energy use data collection, and to Lesia Whitehurst, Leviticus Bull, and Lareisha Lewis for visiting Ghana to help launch and encourage the refrigerator energy use measurement program. - We would like to thank: Professor Richard Widmer, The Dental Department, the Children's Hospital at Westmead; Magda Baka, Ultrasonographer, Department of Medical Imaging, the Children's Hospital at Westmead; Department of Clinical Sciences, the Children's Hospital at Westmead; Allergan (Australia) for supplying the BOTOX used in this study. - We wish to express our appreciation to Mr. Okuda, - This research was supported by the US Department of Homeland Security. The author wishes to thank Tanner Keil, Jennifer McMillan, and Pamela Westphal for their assistance with data collection and analysis, as well as the reviewers for their thoughtful and directed feedback. - The study was supported by the National Natural Science Foundation of China, the project titled regulatory mechanism of the initial kinetic study of acupuncture effects no. 81173204. - We would like to thank all the participants of this study and Dr. Noriyoshi Yamamoto, the director general of the National Sanatorium Nagashima-Aiseien, as well as Drs. Tsutomu Etani, Kentaro Hatano, Mitsuhiro Okano, Kazunori Nishizaki and Masayuki Okochi for clinical and practical guidance in otorhinolaryngology and reconstructive surgery. - This work was funded by the Research Fund of the University of Pecs, Faculty of Medicine ( AOK-KA 2013/19) and supported by Janos Szent agothai Research Centre, University of Pecs. We thank Professor Dr. Peter Davies at the Albert Einstein College of Medicine, Bronx, NY for providing the PHF1 antibody. EK, JP, SVP and RP performed the research; TN and AM designed the research study; JP contributed essential reagents or tools; EK and TN analysed the data; AM and TN wrote the manuscript. - This work was supported by a start-up grant from Luoyang Institute of Science and Technology. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: EZ2292). - We would like to thank Agromas, Federal Agriculture Marketing Authority (FAMA), Kedah, Malaysia for supplying the tualang honey and a Research University Grant (grant number 1001/PPSP/8120205) for providing the financial support for this study. - The authors would like to thank the students and teachers who participated in the study and BioMed Proofreading for editing the final version. - The authors are grateful to the National Natural Science Foundation of China Project No. U1702252 and 51664037. - This work was supported by the U.S. Food and Drug Administration's Critical Path Initiative and in part by the National Institute of Health (Training Grant T32-HL076124 Cardiovascular Bioengineering Training Program) for Mr. Olia. We would like to thank J. Andrew Holmes from the Swanson Center for Product Innovation at the University of Pittsburgh, Swanson School of Engineering for sharing his technical and fabrication expertise. - The authors would like to express their thanks to all participating patients and general practices. We also thank Birgit Kemperdick for her project management skills, Corina Güthlin and Jennifer Engler for their comments on a former version of the manuscript, Jonas Biedermann for his assistance regarding the interview guide, and Phillip Elliott and Dagmar Dornbierer for the English-review of this paper. - This work was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases Grant 5RO1-AR-053343-07 (S.S.). We would also like to acknowledge our anonymous reviewers whose thoughtful suggestions enabled us to substantially improve the manuscript. - The first author is supported by the Dutch Organization for Scientific Research (NWO), under grant 305-00-802. Part of the present research was done while the second author was visiting the Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD. We received kind help from John Carroll, Job Honig, Kees Koster, Theo Vosse and Hans de Vreught in finding the grammars mentioned in this paper. Generous help with locating relevant literature was provided by Anton Nijholt, Rockford Ross, and Arnd Ruflmann. 3As remarked before by Nederhof (1993), the algorithms by Schabes (1991) and Leermakers (1989) are not really related to LR parsing, although some notation used in these papers suggests otherwise. - We thank Lauren Leonardson for providing excellent technical assistance and expertise. - The authors thank Gabriella Molnar for her assistance in binding assays. This work has been supported by U.S. Public Health Services, NIH, and NIDA (Grants RO1 DA 13449 and PO1 DA 006284). - The Society is a charity with a broad based membership that supports its mission and aims. For more information visit www.rgs.org/rhed - Acknowledgements complaints. He also provided some of the graphics showing EMR deployment in his offices, which helped in our coverage of that topic. We also appreciate the advice, encouragement and assistance of Linda Rastelli, the editor of Wiley's Understanding Autism for Dummies, who guided us in the search for a publisher, and provided the idea for the practice vignettes that we wrote for the book. Thanks to all of the personnel at Wiley for their abundant support and encouragement in this endeavor. We thank Robert Bruegel, PhD who provided advice and suggested the Crucial Decisions overall organization of the book. Our thanks to our friends, Jim and Leila Armstrong for their ongoing encouragement of this project and a place to rest in the midst of the writing. The authors' special thanks and deep gratitude goes to Karen Gasch, who handled graphic design and manuscript formatting services through various rewrites of many chapters and numerous revisions to the text that created text reflows, necessitating additional formatting changes. Finally, thanks to other MSP team members for their picking up some of our daily workload that made time for writing this book possible. - This study was partially funded by the U.S. National Science Foundation. The authors are grateful to the comments made by the participants of the Asian-Pacific Forest Convention held in Beijing, China, during 7-11 November 2011. - The authors would like to acknowledge all patients for their participation in this study. This study was supported by research grant from the Association de Lutte Contre le SIDA (ALCS, FASP 2011). - We thank S Suzuki, G E Santoro and G Ortiz for useful discussions and comments. This work was supported by the Grand-in-Aid for Scientific Research on the Priority Area "Deepening and Expansion of Statistical Mechanical Informatics" by the Ministry of Education, Culture, Sports, Science and Technology of Japan and by the CREST, JST. - The authors would like to acknowledge Hamadan University of Medical Sciences for providing financial support for this study. - The authors would like to acknowledge University of Wisconsin Department of Surgery biostatisticians Glen Leverson, Ph.D., and Ying Shan, M.S., for their assistance with statistical analysis. The authors would also like to acknowledge Levi Brown, B.A., and William Bleifuss, B.S., for their assistance with data analysis. Funding: This research was supported by National Institutes of Health grant number 1R21DC011130-01A1. CAJ was also supported by T32GM007507. - The authors are grateful to the management of CARe Keralam Ltd for providing facilities and encouraging us to do this work. - "Ve are grateful to R. Le E. Hooke, M . Kuhn, P. Cutler and M . Nakawo for their valuable comments and suggestio ns on the first draft of this paper. - We are grateful to Dr. G.A. Lazkov (Institute for Biology & Pedology, National Academy of Sciences of Kyrgyzstan) for his original collections used in this study and for useful discussion, and to Dr. E.E. Severova for her help with SEM photos of pollen. We thank Prof. M.G. - We thank the Spitzer team at IPAC and in particular Nancy Silbermann for scheduling the Spitzer observations of this program. This work is based on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. Support for this work was provided by NASA through an award issued by JPL/Caltech. This work is also based on observations made with Kepler, which was competitively selected as the tenth Discovery mission. Funding for this mission is provided by NASA's Science Mission Directorate. The authors thank the many people who generously gave so much of their time to make this mission a success. Some of the data presented herein were obtained at the W. M. Keck Observatory, which is operated as a scientific partnership among the California Institute of Technology, the University of California, and the National Aeronautics and Space Administration. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. - Acknowledgments The authors acknowledge Dr. Elena Romano from the Centre of Advanced Microscopy (CAM), Department of Biology, University of Rome "Tor Vergata," for her assistance in the use of the facility, Roberto Targa for his assistance in the composition of figures, and the anonymous reviewers for their constructive comments. This research was partly supported by CNR-IAMC, National Research Council, Institute for Coastal Marine Environment UO Oristano, Italy. - The authors thank Prince of Songkla University for financial support through the Crystal Materials Research Unit. NB also thanks Prince of Songkla University for a postdoctoral fellowship. The authors also thank Universiti Sains Malaysia for the Research University Grant No. 1001/PFIZIK/811160. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: SJ5220). - Support for this work came from a National Institute of Environmental Health Sciences grant (NIEHS: 5R01ES012459-05S1) awarded to Dr. Grattan. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NIEHS. - We acknowledge the contributions of the multidisciplinary development team at Gaia, who designed and produced the Internet intervention. - I am grateful to the N.E.R.C. for a research studentship, to Dr S. R. J. Woodell, my supervisor, for his helpful comments on the first draft of this paper, and Professor F. R. Whatley, F.R.S., for providing research facilities in the Botany School, University of Oxford. P. J. Lambley allowed me to quote from his unpublished data. - Acknowledgements. We thank the TCC'11 reviewers for useful comments. - We thank anonymous reviewers for their comments and suggestions, which led to improvements in the presentation of results. - We would like to thank Jenny Higgins for technical assistance with flow sorting. - We thank the organizers and all others who helped make the symposium successful. We thank T. Onogi for fruitful discussions. The work of J.K. was supported in part by the Monbu-kagaku-sho Grant-in-Aid for Scientific Research No.C-13640289. The work of C-F.Q. was supported by the Grant-in-Aid of JSPS committee. - We thank all the students for voluntarily participating in our experiments. This study was supported by a Grant-inAid from the Japan Society for the Promotion of Science Fellows . - Thanks are due to Dr. R. J. Roberts and Dr. C. F. So0 Hoo, Division of Entomology, C.S.I.R.O., for the original material.of 0. tindalei and for discussions on the role of this species in pastures in the Armidale district; to Mr. A. Neboiss, National Museum of Victoria, for the loan of s cimens; and particularly to Mr. and made useful comments. The photographs were taken by Mr. C. Lourandos. N. B. Tindale, South Australian Museum, A r elaide, who read the manuscript - The housing for the confocal prototype was designed by Mike Cook and assembled and mounted by Scott Smith and Bill Miller. Thanks also to Arthur Woll for access to the CHESS G1 beamline for prototype testing and to the CHESS machine shop staff for fabrication. This work is based upon research conducted at the Cornell High Energy Synchrotron Source (CHESS), which is supported by the National Science Foundation and the National Institutes of Health/National Institute of General Medical Sciences under NSF award DMR-0936384, using the Macromolecular Diffraction at CHESS (MacCHESS) facility, which is supported by award GM-103485 from the National Institute of General Medical Sciences Health, National Institutes of Health. WRZ and RW acknowledge support from NIH/NIBIB P41 RR04224. - We would like to thank Mary LoPresti, Edward Voss, and Kathrin Wilczak for their assistance in MS sample preparation, and Piero Dalle Pezze for help with identifiability analysis and parameter estimation. Funding: This work was supported by NIH (DA10044 to ACN and PG). Proteomic analysis was supported by the Yale/NIDA Neuroproteomics Center (DA018343 - Acknowledgments. The author thanks Prof. W. Zajączkowski for very fruitful discussions during the preparation of this paper. This research was partially supported by the Polish KBN Grant 1/P03A/ 021/30. - Tandem mass spectrometry analyses were performed at the CNB Proteomics Facility, which is a member of ProteoRed and follows the quality criteria set up by ProteoRed standards. The CNB Genomics Facility assisted us with performing the microarray analyses. - We thank Sergio Menchero for help in embryo work, Laura Caporiccio for animal husbandry and technical assistance, the CNIC Genomics and Bioinformatics Units for help and assistance, José Luis de la Pompa for reagents, the ICTS-CNME (UCM) for technical support, and Simon Bartlett for English editing. - The authors thank Sasha and Ann Shulgin for inspiration in the writing of this review, and acknowledge the generous funding provided by USPHS Grant DA020645 and by the College on Problems of Drug Dependence. - The authors wish to thank Jesse Roth, Patrick J. Scannon and Paul Ruben, for critical reading of the manuscript and helpful comments. - We thank Jeong Tae Kwon, Michael D. Reed, Daniel Cho, and Shivani Bigler for assistance with experiments and thank Dr. Barbara Noro and Dr. Charles Jennings for critical reading of the manuscript. - We are very grateful to Marv Wickens and Kathy Barton for critical reviews of early drafts of the manuscript. We also would like to acknowledge Alex Puoti for sharing unpublished data, and Alex Puoti and Finn-Hugo Markussen for helpful comments on later drafts. We would also like to thank Andrew Fire for providing pPD50.14 and pPD95.81 DNA constructs and Dali Gao for providing an unpublished lag-2 construct. M.G. was supported by a NIH Molecular Biosciences Training Grant. J.K. received funding from the NIH and NSF, and is an investigator of the Howard Hughes Medical Institute. - This research was supported by the U.S. Department of Energy under contract W-31-1O9-ENG-38 and by the U.S. Army Strategic Defense Command. - We thank Sankyo Seiyaku Inc. for supplying Mevalotin®, pravastatin sodium and Yamanouchi (Astellas) Pharmaceutical Co, Ltd for supplying rhBMP-2. - The authors are thankful to The Advanced Veterinary Manufacturing Company (Palestine) for supporting this research. - The authors thank Chen Zhixiong, Shuhong Yu, Jianning Liu (LC Sciences, Hangzhou, China) and Jie Zhang (Kunming Institute of Botany, Kunming, China) for technical assistance and data analysis. - We would like to thank for the financial support provided by the following: ALF Research Grant, Stockholm County Council; Chinese Scholarship - We are indebted to Jill Arnold, Linlin Chen, Kerry Demers, Elizabeth Frost-Hawes, Mira Kaufman and Mildred Wolff for their expert help in conducting the Health Professionals Follow-up Study. We also appreciate the contributions of Charlene Franz, Charlotte Bukowski, and Mary Ann Grigg in the laboratory of Dr Longcope. This work was supported by NIG grants CA55075, HL35464 and DK45779. - This study was supported by Grant no. 31171036 to Liang Peng from the National Natural Science Foundation of China. - The authors thank Aroosa Allah Yar and Arooj Allah Yar, students at Hailey College of Commerce, Punjab University, Lahore, Pakistan, and Abeer Asfaq, Azfar Hameed, Hamza Bukhari, Zahra Malik and Nur Ghani, students at CMH Lahore Medical and Dental - We are grateful to a number of people for their assistance in the preparation of this work. - This project was funded with federal funds from the National Cancer Institute, National Institutes of Health, R01 (CA127119 to Keqiang YE). We thank Obiamaka OBIANYO for proofreading the manuscript. - Acknowledgments The authors thank Gabriele Fangi of the Università Politecnica delle Marche for his collaboration during the orientation phase. All images and photographs in this paper are by the authors. - Acknowledgments-We are grateful to Dr. M. Tatematsu for generously providing total RNAs of several rat organs, C. Yamada for expert technical assistance, and Dr. K. Koike for helpful comments in the preparation of this manuscript. - The authors acknowledge A. Itoh's EPMA analysis and H. Takeishi's spectrophotometric analysis. The authors thank M. Akabori for his helpful discussion on the X-ray diffraction work and also for his supply of the coatedparticles heated at 1,600"C for long time. They are also indebted to Drs. T. Kondo and K. Shiba for their encouragement in the work. - Financial support has been granted by MIUR-Italy and the University of Camerino. - The authors thank the officers and crew of USCGC Healy, R/V Knorr, and NOAA ships Miller Freeman and Oscar Dyson for their work in supporting our - Thanks to Deborah R. Gordon for her comments to the text, and to Eugenio Racalbuto for transcribing the interventions material. - We thank Jérôme Lecardonnel and Emmanuelle Rebours for technical assistance in microarrays hybridization. We also thank all the rodent facility staff for technical assistance in animal experiments (Unité Expérimentale 0907 IERP, Jouy-en-Josas, Paris, France). This work was partially funded by the Conseil regional d'Île-de-France through DIM Malinf ("Domaine d'Intérêt Majeur Maladies Infectieuses, parasitaires et nosocomiales émergentes", Grant#: dim100157). O.L. was supported by "DIM Malinf" doctoral fellowships awarded by the "Conseil regional d'Île-de-France"; L.M. was supported by a grant of the Animal Health Division of INRA. - We thank John Hutchinson for discussions, and our previous co-authors (Viv Allen, Peter Falkingham, Collin VanBuren and Victoria Arbour) for their contributions to earlier studies. This manuscript was greatly improved by reviews from Stephen Gatesy, Robert Kambic and Richard Farina. - Thanks are due to three anonymous reviewers for suggesting improvements in this paper. - We thank Dr. Brian Halligan for the Visualize software, and the Biotechnology and Bioengineering Center at the Medical College of Wisconsin for access to their computer cluster. - Funding for this research was provided by the Howard Hughes Medical Institute, a National Science Foundation Waterman Award to KSA, and a National Science Foundation Graduate Research Fellowship to DNS. - We thank Stefan Steinbacher from Proteros biostructures GmbH; Thomas Steinbrecher from Schrödinger Inc. for useful comments and advice throughout. Ineke Fonteyn and Greet Vanhoof for PDE2 inhibition screening and assay related discussions; Peter Buijnsters and the PDE2 medicinal chemistry team. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 675451 (CompBioMed project). - We would like to thank Prof. Tanju Karanfil and Mahmut Ersan, Department of Environmental Engineering and Earth Science, Clemson University for providing BET results and analysis. We also acknowledge Prof. L. T. Kuhn and Dr. S. B. Simonsen, DTU-Energy Conversion for the access to TEM facilities. - We thank the Napa Valley grape growers that allowed us collected samples in their vineyards. We thank Dr. James Wolpert, UC Davis, for his assistance identifying sampling blocks with evidence of disease spread. We also thank Adib Rowhani (FPS, UC Davis) for providing infected plant material controls and for helpful discussions. We acknowledge assistance from Kevin Koy and the Geospatial Imaging Facility at UC Berkeley. - The author wishes to acknowledge R.B. Cathcart for correcting the author's English and useful advice. - We thank E Hentsch, RJ Kilgour, RS Cruz and AN Pessoa for assistance in the lab and three anonymous reviewers for helpful suggestions. The research was supported by NSERC Discovery grants to DRN, CKG, AGM, a University Research Chair from the University of Guelph and an Early Researcher Award to DRN and an Ontario Graduate Scholarship to GSB. - Authors thank the Science and Engineering Research Board, Department of Science and Technology, Government of India, for financial assistance (EMR/2016/006296). - The authors thank the staff of the Cerro Tololo InterAmerican Observatory for their expert and continuous support of the DES observing campaign. This work is supported in part by the U.S. Department of Energy contract to SLAC No. DE-AC02-76SF00515. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l'Espai (IEEC/CSIC), the Institut de Física d'Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A & M University, and the OzDES Membership Consortium. The DES data management system is supported by the National Science Foundation under grant number AST-1138766 - This project was supported by Grant P42ES013660 from the National Institute of Environmental Health Sciences. - We wish to thank all the coworkers that, over the years, participated in the work on cancer immunoprevention. Our research is supported by the Italian Association for Cancer Research (AIRC), Milan, Italy (project no 10353); the Department of Experimental Pathology, University of Bologna (Pallotti funds) and the Italian Ministry for University and Research (PRIN grants). - Thanks to the guidance by academician Dai Jinxing and the financial support from the Chinese National Natural Science Foundation (No. 41303037). - Funding for this study came from NIH-NICHD Grant R01 HD046807 awarded to Margolin, Gordis, and Oliver, and from the David & Lucile Packard Foundation Grant 00-12802 awarded to Margolin. Work also was supported by NIMH NRSA F31 MH074201 awarded to Vickerman, and K23 HD041428 awarded to Gordis. We are grateful to the families who generously participated in the study. We also appreciate the efforts of other members of the USC Family Studies Project, including Mona Elyousef, Angèle Fauchier, Monica Ghalian, Catherine Delsol Haudek, Esti Iturralde, Adabel Lee, Deborah Chien Liu, Anna Marie Medina, Laura Proctor, Michelle Ramos, Martha Rios, Sarah Duman Serrano, Lauren Spies, Molly Swanston, and Jennifer Wall. - Thanks to T. Häme (VTT) - Acknowledgments: Scientific inputs of Pranoy Pal are greatly appreciated. - In addition to the authors, the expanded access programme study investigators were Dr Brian Abbott. - We gratefully acknowledge the effort of the CESR staff in providing us with excellent luminosity and running conditions. We thank A. Kronfeld - The authors would like to thank Tim Graham and Melanie Moody for technical assistance. The work performed in the authors' laboratories was made possible by grants from NIH. - The support of NSF-MRI Grant No. 1228232 for the purchase of the diffractometer and Tulane University for support of the Tulane Crystallography Laboratory are gratefully acknowledged. - Funded by a Sir Henry Wellcome Postdoctoral Fellowship (101521/Z/12/Z) awarded to CM Gillan. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. - The work of the author was suppoted by Grant-in-aid for Scientific Research of JSPS Fellows No. 23-4365 and No. 26-30001. - This work was completed on behalf of the EuroFIR Consortium and funded under the EU 6 - The research work in Wen-Xing Ding's lab was supported in part by the NIAAA funds R01 AA020518, National Center for Research Resources (5P20RR021940), the National Institute of General Medical Sciences (8P20 GM103549), T32 ES007079, and an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health (P20 GM103418). The authors would also like to thank Jessica Williams for critical reading of this paper. - The Australian Federal Government Department of Health and Ageing Chlamydia Pilot Program of Targeted Grants funded the study. Thanks to all the individuals who agreed to be interviewed and particular thanks to Ms Kitty Novy for her assistance with recruitment. - This work was partially supported by the DFG. - This work was made possible thanks to the financial and in-kind support provided by the Canadian Forest Service and the Canadian Wood Fibre Centre of Natural Resources Canada, and funding from the Natural Sciences and Engineering Research Council of Canada (NSERC; Discovery Grant to M.P.G.). We thank Christine Simard, Philippe Labrie, David Gervais, Daniel Plourde, Eric Dussault, Jean-Franc ßois Legare, and Marie-Claude GrosLouis for their valuable contributions to field and laboratory work, and Manuel Lamothe, Claude Bomal and Julie Godbout for methodological discussions. We are grateful to S ebastien Cl ement and Ilga Porth for useful comments on a previous version of the manuscript and to Isabelle Lamarre for technical English editing. Finally, we would like to thank Dr Andrew Eckert and two anonymous reviewers for their insights and constructive comments. - This work was supported by NIH grant DK35108 and a Research Grant from the Crohn's and Colitis Foundation of America. We are grateful to Tom Blaze for invaluable help with the animal experiments and Jennifer Smith for excellent technical support. - The authors thank the Pietà Study Group and the D'Or Institute for Research and Education for data collection and analyses. We are also very grateful for the elderly participants of the Pietà study who dedicated their time and energy to our research. We specially thank Luciana Costa Silva for the analysis of the Fazekas score in all images. - Acknowledgements. The authors thank the referee, Anvar Shukurov, for making a number of comments that led to substantial improvements to the paper. D.M., D.S. and R.S. are grateful to MPIfR for hospitality. The paper was partially supported by RFBR under grant 12-02-00170. R.B. acknowledges support by DFG grant FOR1254. The work was also partially supported by DFG project number Os 177/2-1 . R.S. acknowledges grant YD-520.20132 from the Council of the President of the Russian Federation and RFBR grant 11-01-96031-ural. - This work was funded by the OT/01/34 project of the Katholieke Universiteit Leuven. We also acknowledge the help of Jan Stuckens, from the Department of Biosystems, M3-BIORES of the Katholieke Universiteit Leuven, who assisted in the use of the PBRT ray tracing software. - This work was supported by the National Heart Lung and Blood Institute of the NIH as a Program of Excellence in Nanotechnology Award (HHSN268201000043C to GB), and by an NIH Nanomedicine Development Center Award (PN2 EY018244 to GB). - Part of the work described in this paper was carried out during a guest stay by the first author in the Institute of Transport and Logistics Studies at the University of Sydney. The authors would like to thank Frank Hofman for making the Dutch National model data available for the present research. The authors would also like to thank John Rose for extensive feedback and discussions on an earlier version of this paper. - We thank Professor Pieter C. Dorrestein, University of California at San Diego, USA, for technical advice during nonribosomal peptide extraction. In addition, we thank Stefan Olsson, The Department of Plant and Environmental Sciences, University of Copenhagen, Denmark, for his guidance in sample preparation and microscopy of fungal hyphae. - This research was funded (in part) by the US government VACE program. - The authors would like to thank Professor Li Zeng Peng and his staff from the Department of Pathology at Daping Hospital (Chongqing, China) for conducting immunohistochemistry tests and reviewing slides. In addition, the authors would like to thank the academic editor and anonymous reviewers for their comments on the manuscript. The present study was supported by grants from the National Natural Science Foundation of China (NSFC; no. 81101782), the NSF project CQ CSTC (no. CSTC2011BB5020) and the NSF Third Military Medical University (no. 2010XQN36 and MiaoPu project). - Acknowledgments -We thank Matthias Fuchs for interesting comments on the manuscript. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 723955 -GlassUniversality). This work is supported by "Investissements d'Avenir" LabEx PALM (ANR-10-LABX-0039-PALM). - We are indebted to Scott Whittaker of the Imaging Laboratory of the Museum of Natural History, Smithsonian Institution for assistance with all aspects of SEM. - Acknowledgements. We thank Dr. Tony Tucker, Dr. Nancy FitzSimmons and Ms. Maggie Snyder for collection assistance and Mr. Gordon Graham of CALM Kununurra and Dr. David Blair of James Cook University for making available laboratory space. This material is based upon work supported by the National Science Foundation under Grant Nos. NSF 0515492, 0515460 and 0132289. - I thank Carla Meister for expert preparation of the manuscript. Partial funding support was provided from the NIH rare disease grant (1U54RR019478) and a grant from PWSA (USA). - We would like to thank Francesca Truzzi, Roberta Lotti, Katiuscia Dallaglio and Elisabetta Palazzo for critical reading of the manuscript. We are also grateful to Massimiliano Truzzi for technical assistance with the preparation of the figure. - The authors would like to thank Enago for the English language review. - We would like to thank the anonymous reviewers for their comments and suggestions on the past submissions related to this article. In particular, the idea about the greedy approach to improve the actual packing (described in the beginning of Section 5), and the basic intuition behind the Eliminate-useless-vars were provided by the reviewers of ACM TACO. - The work is performed according to the Russian Government Program of Competitive Growth of Kazan Federal University. - Acknowledgement Dylan Hutchison commented on a draft. We thank Natalia Larios Delgado and Matthew Smith for their feedback on our Excel addin. - This work was partially funded by the Swiss National Science Foundation program ''Sinergia'' (SNF grant no. CRSII3_136179/1). - This study was supported by the Open Translational Research Centre, Advanced Medical Science Centre, Iwate Medical University. - This work was supported in part by the U.S. National Institutes of Health, the National Center for Research Resources through grant UL1TR000371 (X.S.), and the National Cancer Institute through the CCSG P30 CA016672, and the Leukemia SPORE P50 CA100632 (X.S.). - Acknowledgements.-This paper would not have been possible without the assistance of and/or discussions with H. Deliever, R. Huygcns, F. Dclvaux. J. P. Verdcycn. and E. Robbcrechts. - We thank the University of Liverpool and Wellbeing/RCOG for funding. - This work was supported by grant GR/L95496 from the UK Engineering and Physical Sciences Research Council. The work was carried out while R. A. Ruddle was employed in the School of Psychology at Cardiff University. - The authors thank Nassim Khatibi, Somayeh Heydarzade, and Sepideh Heydarzadeh for gathering the data, and Rebecca Chen for professional editing of the manuscript. - We are specially grateful to F. Baudin, B. Ehresmann and C. Ehresmann for the RNAFOLD analysis of HDV sequences. This work was supported in part by grants from ARC, LNCC, ANRS and MEN (Virologie Fondamentale). G.T. is recipient of a CIFFRE fellowship from MRT. - The authors thank all their coworkers in this study (especially Youhei Sekine, Daisuke Chiba, Satou Satoshi, Rina Tanaka, Hiroshi Ishizaki, Takao Noguchi) for skillful contributions to the collection and management of the data. This study was supported by grants-in-aid for Scientific Research (15K20847) from the Japanese Ministry of Education, Culture, Sports, Science, and Technology and research aid from the Foundation Institute of Geriatric Medicine and Dentistry in Tokyo. - Acknowledgments. This research is supported by NSF Grants DUE-0840713, 0840715, 0840719, 0840721, 0840668, 0840597, 0836940, and 0937863. - This work was partly supported by Pirelli Cavi SpA. - The authors would like to thank the MSF field staff in Burkina Faso, for their dedication and hard work. We thank Dr Sylvestre Tapsoba, national nutrition director from the Ministry of Health in Burkina Faso. We are particularly grateful to Rebecca Grais, PhD and Sandra Cohuet, MD (Epicentre) for their critical review of the manuscript and verification of the data set. Andrea Minetti, MD (Epicentre) played an important role in the initial programme set up. We thank Manal Shams Eldin, MD (MSF) for her critical review. Finally, we wish to acknowledge the essential role of the thousands of mothers and caregivers in Yako and Titao, Burkina Faso who nurtured their children back to health. - We would like to thank J. Devreese, J. Hirsch, A. Lanzara, J. Samson, and S. Trugman for illuminating discussions. ASA acknowledges support of this work by the Leverhulme Trust (London). - The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region (Project number: CUHK4092/01M) and also supported by equipment/ resources donated by the Hong Kong Jockey Club Charities Trust. - We are grateful to Susanne Mandrup for her suggestion about our study. We thank Kaori Shiina and Kenji Tatsuno for their help in library preparation for high-throughput sequencing. Shiro Fukuda and Toshihiro Umehara for their help in computational analysis. Kohjiro Ueki, Shingo Kajimura and Claudio Villanueva for providing cells and plasmids. Kinichi Nakashima for his suggestion regarding NFIA-KO mice. Takuya Sugiyama, Tetsuya Kubota and Naoto Kubota for their help in animal experiments. We also thank Takahito Wada for his technical assistance. - This research was supported by the Top-class foundation of Pingdingshan University (no. PXY-BSQD-2018006 and PXY-PYJJ-2018002). - The authors acknowledge all of their colleagues and nurses who took care of the patients. There was no funding source. - Project administration: Ikuo Kimura. - We thank D Low and C Hayes for E. cloacae strains, J Harrison for the gacS deletion construct, S Lory for β-galactosidase reporters, A Rietsch and P de Boer for codon-optimized superfolder gfp, H Schweizer for Tn7 constructs, and N Kuwada and H Kulasekara for helpful discussions. ML was supported by the Molecular and Cellular Biology Training Grant (T32GM007270) and EIM was a University of Washington Mary Gates Scholar. JDM holds an Investigator in the Pathogenesis of Infectious Disease Award from the Burroughs Wellcome Fund. - I am extremely indebted to Mrs. Bella Shirman, a senior librarian of the University of California at Berkeley, for her kind assistance in tracing and making for me a copy of Ref. 15 . This work was supported in part by the NATO Collaborative Linkage Grant PST.CLG.976850. - We would like to thank Vladimir Shikhman and Oliver Stein for a helpful discussion that prompted us to rethink and refine our assumptions. We would also like to acknowledge an anonymous reviewer for constructive comments. - This research was supported by a grant from the United States/Israel Binational Science Foundation (BSF), Jerusalem. Professor A. W. Castleman, Jr. serves as the American Cooperative Investigator of this grant. We thank Dr. M. Mautner for very helpful comments and for providing us with unpublished results, and Professor A. Mandelbaum for suggesting the experiment with the proton-bound tetrahydrofuran dimer. - We thank Lifei Zheng (Radboud University,R U) for preparing labelled DNA, Albert Wong (RU) for providing labelled oligolysine,Mahesh Vibhute (RU) for the help with the IVTx mix preparation. - This research was supported by the École Doctorale Frontières du Vivant (FdV) - Programme Bettencourt, and by grants ANR-17-CE28-0009 (GEOMPHON), ANR-11-IDFI-023 (IIFR), ANR-11-IDEX-0005 (USPC), ANR-10-LABX-0083 (EFL), ANR-17-EURE-0017 Frontcog, ANR-10-IDEX-0001-02 PSL*, ANR-19-P3IA-0001 PRAIRIE 3IA Institute. This work was performed using HPC resources from GENCI-IDRIS (Grant 20XX-AD011012415). - The authors wish to acknowledge the support of the funding programs "Investissements d’avenir" ANR-10-IAIHU-06 and "Investissements d’avenir" ANR-11-INBS-0011-NeurATRIS: Translational Research Infrastructure for Biotherapies in Neurosciences. S.H. is funded by ANR-2010-BLAN-1418-01 (ParKemoS), ANR-12-EMMA-0016-01 (X-Protect), ANR-13-ISV4-0003-03 (Ire1-PD), ANR-13-BSV1-0013-01 (ParkSTRIM), ANR-14-JPCD-0005-02 (JPND CrossSeeds) and ANR-15-JPWG-0012-04 (JPND SYNaction). P.P.M. was supported by association France Parkinson. - This project was supported by the French National Research Agency in the framework of the "Investissements d’avenir" program (ANR-15-IDEX-02) through the project Eco-SESA. This work was also performed within the framework of the Centre of Excellence of Multifunctional Architectured Materials "CEMAM"AN-10-LABX-44-01. This work was funded by the Agence Nationale de Recherche (ANR, France) via the programs ANR-16-CE05-0021 (DESPATCH), ANR-14-ACHN-0012 (MICROSWITCH) and CE05 INDEED, CE09 MEANING, CE09 PANASSE. This work was as well supported by Région Auvergne Rhône-Alpes through the project Pack Ambition Recherche 2018 Eternité. The Carnot Energies du Futur is acknowledged through the project FREE. David Muñoz-Rojas acknowledges funding through the Marie Curie Actions (FP7/2007-2013, Grant 631111). The authors would like to warmly thank to L. Rapenne, K. Maas and R. Rodríguez-Lamas for fruitful discussions. - Research in the Quintana-Murci lab is funded by the Institut Pasteur, the Centre National de la Recherche Scientifique (CNRS), the Agence Nationale de la Recherche (ANR-14-CE14-0008-02, ANR-14-CE14-0007-02, ANR-14-CE02-0003-01), the French Government’s Investissement d’Avenir program, Laboratoires d’Excellence "Integrative Biology of Emerging Infectious Diseases" (ANR-10- LABX-62-IBEID) and “Milieu Intérieur” (ANR-10-LABX-69-01), and the Fondation pour la Recherche Médicale (Equipe FRM DEQ20180339214). I wish to thank Etienne Patin for help in designing figures, and Jean-Laurent Casanova, Guillaume Laval, Mary O’Neill, Etienne Patin and Maxime Rotival for critical reading, comments and discussion. - We acknowledge support by INSERM (D.C. and C.Q.), Nouvelle Aquitaine Region (D.C.) and Agence Nationale de la Recherche for the following grants: neuroIDobese (ANR-20-CE14-0046 to C.Q.), LabEX BRAIN (ANR-10-LABX-43 to D.C.), OPTOPATH (ANR-10-EQX-008-1 to D.C.), BABrain (ANR-17-CE14-0007 to D.C.), MitObesity (ANR-18-CE14-0029 to D.C.) and StriaPOM (ANR-21-CE14-0018 to D.C.). C.Q. is also supported by the Societé Francophone du Diabete, Societé Francaise d’Endocrinologie (Pfizer-SFE Prix de Recherche en Endocrinologie), and Societé Francaise de Nutrition, the Institut Benjamin Delessert, and The Fyssen Foundation. This study received financial support from the French government in the framework of the University of Bordeaux's IdEx "Investments for the Future" program / GPR BRAIN_2030. - This work was supported by the Université de Strasbourg and Centre National de la Recherche Scientifique (CNRS), by the French Agence Nationale de la Recherche (ANR-18-CE12-0021-01 'Polyglot') and by the French National Program 'Investissement d’Avenir' (ANR-11-LABX-0057 'MitoCross' LabEx). MH has a fellowship from MitoCross and JR has a fellowship from Polyglot. This work of the Interdisciplinary Thematic Institute IMCBio>, conducted as part of the ITI 2021–2028 program of the University of Strasbourg, CNRS and Inserm, was supported by IdEx Unistra (ANR-10-IDEX-0002), STRAT’US (ANR 20-SFRI-0012) and EUR IMCBio (ANR-17-EURE-0023) under the framework of the French Investments for the Future Program. - Most of this work took place during the first author master internship at IRIT. His PhD at the University of Genova, is supported by the ITN-ETN project TraDE-OPT funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 861137. The second author would like to acknowledge the support of ANR-3IA Artificial and Natural Intelligence Toulouse Institute, Air Force Office of Scientific Research, Air Force Material Command, USAF, under grant numbers FA9550-19-1-7026, FA9550-18-1-0226, and ANR MaSDOL - 19-CE23-0017-01. We warmly thank the anonymous referee for careful reading and relevant suggestions which improved the quality of the manuscript. - The laboratory of Human Evolutionary Genetics is supported by the Institut Pasteur, the Collège de France, the Centre Nationale de la Recherche Scientifique (CNRS), the Agence Nationale de la Recherche (ANR) grants LIFECHANGE (ANR-17- CE12-0018-02), CNSVIRGEN (ANR-19-CE15-0009-02) and COVID-19-POPCELL (ANR-21-CO14-003-01), the French Government's Investissement d’Avenir program, Laboratoires d’Excellence 'Integrative Biology of Emerging Infectious Diseases' (ANR-10- LABX-62-IBEID) and 'Milieu Intérieur' (ANR-10-LABX-69-01), the Fondation pour la Recherche Médicale (Equipe FRM DEQ20180339214), the Fondation Allianz-Institut de France, and the Fondation de France (n°00106080) - Acknowledgments S.D.M.S. is supported by an MRC career development award. P.B. is supported by the Human Frontier Science Program (CDA00069/2013 C).-A.S. and U.P. are supported by the NIH NIGMS grant U54 GM074945. We thank the Xenopus laevis genome project consortium to provide gene annotation information from unpublished RNA-seq data. Especially, for the RNA-seq based gene model we used in this project, we thank Shuji Takahashi, Atsushi Toyoda, Yutaka Suzuki, Sumio Sugano, Asao Fujiyama, and Masanori Taira for sharing their unpublished RNA-seq data (the construction of RNAseq data sets was supported in part by KAKENHI (Grant-in-Aid for Scientific Research) on Innovative Areas "Genome Science" from the Ministry of Education, Culture, Sports, Science and Technology of Japan), and Taejoon Kwon, Shuji Takahashi, Toshiaki Tanaka, Edward Marcotte for gene model construction and validation. - Acknowledgements This work was partially funded by the National Institutes of Health (NIH), R01MH096906 [TY], NSF OCI1131441 [RP], International Neuroinformatics Coordinating Facility (INCF) and the Max Planck Society [KJG, DSM]. We thank the INCF Neuroimaging Data Sharing task force members for their input during several discussions. - We thank Dr. Petter Holme for sharing the internet dating community dataset, and Dr. Gerald F. Davis for the American company director network dataset. This work was supported by grants from the National Research Foundation of Korea (2010-0017649, 2012M3A9B4028641, 2012M3A9C7050151) to I.L, and from the N.S.F., N.I.H., U. S. Army (58343-MA) and Welch Foundation (F-1515) to E.M.M. - We thank the Norwich Rust Group for discussions, Dr. Vanessa Segovia (Norwich, UK) for providing material, and support teams at The Sainsbury Laboratory and The John Innes Centre. BP was supported by an INRA Contrat Jeune Scientifique (CJS), by the European Union, in the framework of the Marie-Curie FP7 COFUND People Programme, through the award of an AgreenSkills' fellowship (under grant agreement n° 267196). DGOS was supported by a Leverhulme early career fellowship and a fellowship in computational biology at TGAC, in partnership with the John Innes Centre, and strategically supported by BBSRC. CL is supported by an INRA CJS. BP, CL, and SD are supported by the French National Research Agency through the Labex ARBRE (ANR-12-LABXARBRE-01) and the Young Scientist Grant POPRUST (ANR-2010-JCJC-1709-01). KVK is strategically supported by the BBSRC and the Gatsby Charitable Foundation. Research at The Sainsbury Laboratory is supported by the Gatsby Charitable Foundation and the BBSRC. - - - \ No newline at end of file + + This research was supported by the Deutsche Forschungsgemeinschaft through the SFB 649 "Economic Risk". http://sfb649.wiwi.hu-berlin.de ISSN 1860-5664 + ACKNOWLEDGMENT. We are grateful to Dr. G.D. Niswender (Animal Reproduction and Biotechnology Laboratory, Colorado State University, Fort Collins, CO, U.S.A.) for providing antisera to estradiol-17β (GDN 244) and testosterone (GDN 250). + We are grateful to the personal of UTSW Microarray Core for assistance with these experiments and to Janet Young for administrative assistance. We are thankful to Thomas Südhof and Katsuhiko Tabuchi for a generous gift of Lenti-NLS-GFP-Cre virus. This study was supported by the Hereditary Disease Foundation and NINDS R01 NS38082 and R01 NS056224 (IB), NINDS R01 NS043466 (SZ), the NIH GM59419 (GH), and the Ara Parseghian Medical Research Foundation (JR). + The authors wish to thank Ewa Latkowska for her excellent technical support. This study was supported by the Polish Ministry of Science and Higher Education 2670/B/P01/2008/34 and 0757/B/P01/2009/37. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. + The authors thank Dr. Chunhua Weng from Columbia University and Dr. Cui Tao from Mayo Clinic who participated in the evaluation. The authors also thank the technical support from Mr. Craig Stancl from Mayo Clinic. The study is supported in part by the SHARP Area 4: Secondary Use of EHR Data (90TR000201). + The data and views presented here are those of the authors alone and do not reflect or imply the formal views of the U.S. Food and Drug Administration or any other entity. This study was supported by the National Center for Toxicological. Many of the experiments described in this research utilized a HeLa cell line. Henrietta Lacks, and the HeLa cell line that was established from her tumor cells without her knowledge or consent in 1951, have made significant contributions to scientific progress and advances in human health. We are grateful to Henrietta Lacks, now deceased, and to her surviving family members for their contributions to biomedical research. + The human seminal vesicles were provided by the National Disease Research Interchange. We thank Christine Monfort for statistical analysis. + To Dr Marize Miagostovich and Ms Eliana Saraiva for the help during laboratorial diagnosis and the technical support from Ms Mariana Lopes and Ms Maryrose Lavatori. To Dr Joseli Lannes-Vieira, Department of Immunology, Fiocruz, and Dr Ricardo Galler for critically reviewing the manuscript. + We are indebted to the parents and children from the urban slums of Vellore for their enthusiastic participation and support. We also thank Drs. Rajiv Sarkar, Deepthi Kattula and field workers for their tireless monitoring of the cohorts and all the support staff of the Division of Gastrointestinal Sciences, Christian Medical College, Vellore, who made the studies possible. + This work was done as part of the IDEFICS Study and is published on behalf of its European Consortium (http://www.idefics.eu). We gratefully acknowledge the financial support of the European Community within the Sixth RTD Framework Programme Contract No. 016181 (FOOD). + This work was supported by Carl Tryggers Stiftelse for Vetenskaplig Forskning and Stiftelsen Samariten. + We thank B. Zeppenfeld and A. Daniel for excellent technical assistance. Antibody against Oxa1p was a kind gift of J. W. de Gier, Department of Biochemistry and Biophysics, the Arrhenius Laboratory for Natural Sciences, Stockholm University, Stockholm, Sweden. The research was supported by grants from the Deutsche Forschungsgemeinschaft, Sonderforschungsbereich TR-1, and Fonds der Chemischen Industrie. + We thank all the employees of the Icelandic Heart Preventive Clinic (Hjartavernd) for their skilful contribution to the data collection. the Medical Faculty and the Research Fund of the University of Iceland and the Icelandic Research Council supported this study. + The authors would like to thank Michel Cantou for the sampling of bivalves, Enric Saiz and Rosa Maria Borrat Padrosa for providing Paracartia grani eggs, Maximillien Cuny and Benoît Moirod for their help with PCR analyses, Maëva Robert for sequencing and Emmanuelle Omnes for histological slide preparation. The present study was supported by the GELAMED project through a grant allocated by the MEEDDM (Ministère de l"Ecologie, de l"Energie, du Développement Durable et de la Mer, France), and the Total foundation, France to D. Bonnet (Programme 189 -« Recherche » 18902 C). + The outcome of this work owes to the entire staff of the l'Institut national de la Recherche Halieutique Morocco. That each finds here the expression of our profound gratitude. + This study was funded by the Australian Research Council (DE120101549). We acknowledge the services of Metabolomics Australia for the analysis of metabolite concentrations. + This work was supported by grants IGA NT 11062-5/2010 and MSM6198959205. + The authors thank the following individuals for their contribution to this report: R. Duran, J.L. Martinez, B. McKown, R. Romero, D. Powell (Portage, Inc.) and E. Pulliam (TPMC, Inc.). + NH, AK, RB: We thank D. Cicuzza, W. Hoffmann, and T.R. Wentworth for their critical review of a previous version of this manuscript. We also thank D. Gamble (UNCW) for permission to re-use NH: I thank the individuals and organizations that directly had a hand in the completion of this project; without their expertise, opinions, edits, financial assistance, and permission to access private property, this work would not have been possible. the North Carolina State Parks graciously allowed me to collect plants from the shorelines of five Carolina bay lakes in Bladen County, North Carolina. the North Carolina Wildlife Resources Commission was kind enough to grant access to Horseshoe Lake and Little Singletary Lake. I thank Glenn and Carol Lewis for offering their land as an easement to Little Singletary Lake; they were very gracious, and I thoroughly enjoyed listening to Glenn's stories of Native American artifacts, lake history, black bears, and wildfires. Dr. Clemuel Johnson graciously gave permission to survey Bakers Lake Natural Area and I am very thankful for his generosity. Stephen Clark, son-in-law of Dr. Clemuel Johnson, also provided valuable information regarding wildlife use of Bakers Lake and surrounding natural areas. "Chick" Gaddy provided valuable information concerning Carolina bays and associated South Carolina natural community types. Mr. Gaddy's enthusiastic disposition and knowledge of South Carolina ecosystems was very beneficial to this study and I am truly grateful for his time. Garrett German provided a wealth of information concerning waterfowl use of Carolina bay lakes. Rob Richardson and Justin Nawrocki of the NCSU + Acknowledgments This study was supported by the Competitive State + This work was supported in part by NASA grant SSERVI NNA14AB01A, a Jackson School of Geosciences Postdoctoral Fellowship to N.D., and funding from Peking University to N.Z. Computational work was supported by Center for Computation and Visualization at Brown University and the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. The input files for reproducing the numerical models can be accessed at nan_zhang@pku.edu.cn. This paper benefited from thoughtful reviews by Andrew Dombard, Walter Kiefer and an anonymous reviewer. + The authors are grateful to Profs. Ye.B. Stadnik, I.S. Guliyev, F.G. Dadashev, and I.Ya. Skyarenko for assistance in performing these studies. + This work has been financially supported by an individual discovery grant from NSERC (Natural Sciences and Engineering Research Council of Canada). + Acknowledgements. Thanks to Maria Eugenia Gómez for finding the original reference of Bouguer's law. the DENIS project is supported by the SCIENCE and the Human Capital and Mobility plans of the European Commission under grants CT920791 and CT940627, by the French Institut National des Sciences de l'Univers, the Ministère de l'Éducation Nationale and the Centre National de la Recherche Scientifique, in Germany by the State of Baden-Würtemberg, in Spain by the DGICYT, in Italy by the Consiglio Nazionale delle Ricerche, by the Austrian Fonds zur Förderung der wissenschaftlichen Forschung + We thank Michael Heinz, Paul Cliften, and the Genome Technology Access Center (GTAC) in the Department of Genetics for help + The authors would like to thank Julia Stockinger and David Schwarzenbacher for their excellent technical support and Johannes A Mayr for comments and suggestions. + The authors thank Leonice Lourenço Poyares, Institute of Biomedical Sciences, University of São Paulo, Brazil, for excellent technical assistance. Research supported by FAPESP. F. Goulart-Silva is the recipient of a FAPESP fellowship (#08/56446-9), and M.T. Nunes is the recipient of a CNPq fellowship. + We acknowledge D Sabatini (Whitehead Institute) for providing mutagenized KBM7 cells and V Amarnath (Vanderbilt University) for providing reagents and advice. We thank V Vijayan, K Amarnath, T Peterson, and members of the O'Shea lab for advice and assistance. We thank A Darnell for critical reading of the manuscript. + The first author is grateful for the partial financial support through the French National Research Agency (Grant ANR-11-BS09-0008, LOTERIE). + Acknowledgements. We thank the continued support of the Phillip Island Nature Parks and its staff and volunteers involved in the continuous monitoring of penguins in Phillip Island since 1968. Y.Afán produced the video and improved figures design. Our analysis benefits enormously from earlier discussions with B. Raymond, C. Bulman, B. Fulton, S. Connie, D. Oro, M. Genovart, A. Sanz and M. Louzao, and with the helpful comments of Sara Maxwell and two anonymous reviewers. + We thank C. Clayton, T. Hobman, Y. Nagamine, C. Ender, R. Pillai, C. Artus, and E. Bertrand for providing plasmids and/or antibodies. S.N.B. is a recipient of a longterm HFSP fellowship. the Friedrich Miescher Institute is supported by the Novartis Research Foundation. + We would like to thank all the individuals from each of the SWEET countries who gave up their valuable time to participate in this study and were prepared to share their experiences with us. + We thank the ParkLands Foundation for allowing us to conduct this research on their property and Victoria A. Borowicz and Scott K. Sakaluk for assistance with this research. + We are indebted to Ms Mieko Imai and Ms Tomoko Yamabe for data management, and to Dr Haruhiko Fukuda for direction of the JCOG data center and oversight of management of the study. This work was supported in part by Grants-in-Aid for Cancer Research and for the Second-Term Comprehensive 10-Year Strategy for Cancer Control from the Ministry of Health, Labour, and Welfare (Tokyo). + The authors declare that there is no conflict of interests regarding the publication of this paper. + The authors acknowledge grant support from GE Healthcare, NIH (1R01 AR062581-01A1 and 1R21 AR063894-01A1), and the VA Clinical Science Research and Development Service (Career Development Grant 1IK2CX000749). + Contract grant sponsors: Telethon (GGP13213), U.S. National Institute of Health (>AR059646 and AR053349); Ministero dell' Istruzione, dell' Università e della Ricerca, Fondo Innovazione in Ricerca. This work was supported by Telethon grant GGP13213 to FP, VS, and CR; by U.S. National Institute of Health Grants AR059646 and AR053349 (subcontracts to FP) and a by MIUR-FIR grant to EP. "the EuroBioBank and Telethon Network of Genetic Biobanks (GTB07001D) are gratefully acknowledged for providing biological samples". We thank Dr. Rosanna Asselta (University of Milan) for helpful advice and assistance in haplotype analysis. + Funding for the World Vegetable Center's general research activities is provided by core donors: Republic of China (Taiwan), UK aid, United States Agency for International Development (USAID), Australian Centre for International Agricultural Research (ACIAR), Germany, Thailand, Philippines, Korea, and Japan. In addition we like to thank Global Crop Diversity Trust for contribution to meetings and to this open-access publication. + We are grateful to Dr. Michael W. Hess (Division of Histology and Embryology, Medical University of Innsbruck, Austria) for generally allowing us access to a transmission electron microscope. + Work on mistranslation in the Ibba Lab is supported by funding from the National Science Foundation (MCB 1412611), an Ohio State University Center for RNA Biology Fellowship (to K.M.) and NIH Training Grants T32 GM008512 and GM086252 (to A.M.). + The authors gratefully acknowledge the financial support by the Polish Ministry of Higher Education (Grant no. 15.11.170.576). + This work was supported by grants from Italian MIUR (FIRB RBAP10Z7FS_002) to SC and from University of Ferrara (Italy) to V.B. We thank Mr. Cosmo Rossi for his technical expertise in producing xenografts. + The study was supported by the Ministry of Higher Education Malaysia and the Japan Society for the Promotion of Science (JSPS) Asian CORE Program titled "Establishment of research and education network on coastal marine science in Southeast Asia". We would like to express our appreciation to Dr. Norio Nagao, Mr. Hideyuki Takatsuji, Mr. Zainuddin Ibrahim, Mr. Husdy Salleh and Mr. Soed Mokhtar for their assistance in the field sampling. We would also like to thank Dr. Htay Aung, Dr. Azman Abdul Rahim, Mr. Zuhaimi Samad and Miss Fatin Zahidah Zainal for their help with the illustrations and Dr. Shuhei Nishida for reading the manuscript and for his invaluable comments. We are grateful to our referees for their comments that helped improve the manuscript. + Acknowledgments The study is funded by the Netherlands Organization for Health Research and Development, grant number 300020012. + Shane Waters thanks the University of Adelaide for his Postgraduate Award and the Australian Centre for Plant Functional Genomics for support. This work was supported by the DP120100900 and LP120100201 grants from the Australian Research Council awarded to MH. + This research work is an output of the research project "Modelling of selected indicators and processes in drinking water supplies", reg. no.: FAST-S-17-4643 and also a project "Influence of hydraulic conditions in the water supply network on selected indicators of drinking water quality", reg. no.: FAST-J-17-4475. Both of them was supported through the internal grant agency of the Brno University of Technology. + We thank the Diamond Light Source for access to beamlines I02, I03, I04, I04-1 and I24 (proposal numbers MX6638 and MX8659). The work was funded by the BBSRC (BB/ L02022X/1), a Kelvin-Smith Scholarship from the University of Glasgow and a Sir Henry Wellcome Fellowship awarded to R.G.: award number 106077/Z/14/Z. During this work I.J. was supported by a studentship from the Wellcome Trust: award number 093592/Z/10/Z. + M. I. Ransome is supported by the NHMRC Biomedical Fellowship. A. J. Hannan is supported by the ARC Future Fellowship (FT3) and his research has been funded by NHMRC Project Grants. + The authors received editorial support from Eva Polk, Ph.D., at Excerpta Medica in the preparation of this manuscript, which was funded by Celgene Corporation. The authors are fully responsible for all content and editorial decisions for this manuscript. + The work was partially supported by Research Funds from the County of Västra Götaland, Sweden. + I couldn't possibly include all references since there are thousands. Instead I would like to acknowledge the contributions made by all scientists in the field of human genomics, comparative genomics, epigenetics and the related areas of my article. All of the relevant background articles are available at the NCBI website, particularly the PubMed. + This work was supported by a grant from the National Institute of Mental Health , NIMH (1 R01 MH0820-54) to Drs. Klump, Boker , Burt, Keel, Neale, and Dr. Cheryl Sisk. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Mental Health. + Acknowledgments I appreciate the valuable editorial suggestions and corrections by John F. Kern, of Winnetka, IL. I am grateful to Bob Buchanan, Dee Benson and Carole Mayo for their support. I thank Govindjee for his invitation, his extensive editing (especially in providing the reference list), his patience and above all his ever-lasting persistence and encouragement that has led to the completion of this letter. + This work has been partially supported by the EC funded project Swan-iCare (FP7-ICT, Project No. 317894) and "TEAChER: TEach AdvanCEd Reconfigurable architectures and tools" project funded by DAAD (2014). + Acknowledgements. We thank an anonymous referee. Also, we are very grateful to Professor Peter P. Eggleton for sharing his binary evolution code. This work was sponsored by the National Natural Science Foundation of China (Grant Nos. 11463002 and 11373020), the Open Foundation of key Laboratory for the Structure and evolution of Celestial Objects, Chinese Academy of Science (Grant Nos. OP201405, OP201404(B615015)), the Science Foundation of Jimei University (Grant No. C613030), and Science and Technology Foundation of Guizhou Province (Grant LKK[2013] No. 20). + Acknowledgements. Development of the Medusa GC/MS systems, calibrations, and measurements were carried out as part of the international AGAGE research program and supported by the NASA Upper Atmospheric Research Program in the US with grants NNX07AE89G to MIT, NNX07AF09G and NNX07AE87G to SIO, Defra and NOAA in the UK, CSIRO and the Australian Government Bureau of Meteorology in Australia. We thank J. P. Severinghaus (SIO) for the Megadunes firn samples from Antarctica, J. E. Shields (SIO) for an air-age estimate of the deepest and oldest Megadunes firn air samples used in this work, V. V. Petrenko and J. P. Severinghaus (SIO) for the ancient NH ice samples from the Pâkitsoq site in Greenland. We especially thank E. J. Dlugokencky, J. W. Elkins, B. D.Hall, and S. A. Montzka (NOAA/GMD), C. D. Keeling (deceased) and R. F. Keeling (SIO), N. Schmidbauer, O. Hermansen, C. R. Lunder (NILU), and R. C. Rhew (UCB) for air samples. We thank R. A. Rasmussen and the Oregon Graduate Institute (OGI) for originally collecting the Cape Meares Northern Hemispheric samples which were provided by NOAA/GMD, NILU, and CSIRO. We are indebted to the staff at the AGAGE sites for their continuing contributions to produce high quality measurements of atmospheric trace gases. In particular, we thank G. Spain (Mace Head), R. Dickau (Trinidad Head), J. Mühle et al.: Perfluorocarbons in the global atmosphere P. Sealy (Ragged Point), M. C. Cunningham (Cape Matatula), C. G. Rickard, and J. Z. Ward (Cape Grim). In addition, we thank M. Leist (CSIRO) for his excellent technical support of the Cape Grim Medusa system. We are especially thankful to R. Knapp, J. Marks, and C. Bayliss (International Aluminium Institute, IAI), M. Ison (Australian Aluminium Council, AAC) and the two anonymous reviewers for their insightful comments and reviews which contributed to the improvement of this manuscript. + Funding: This work was supported by the National Cancer Institute grants P01 CA018029 and CA033084, and the Leukemia and Lymphoma Society SCOR program LLS-7008-09. AGC is supported by a Walker Fellowship Award, and GBR was supported by a Leukemia Lymphoma Society Special Fellow Award 4442-09. + We thank Marian Boguñá, Alessandro Flammini, and Romualdo Pastor-Satorras for a critical reading of the manuscript. + The author is grateful to Drs P. Husby and I. Romslo for helpful discussions. The technical assistance of Mrs A. Iden is greatly acknowledged. The study was supported in part by the Norwegian Research Council for Science and the Humanities. + This work was carried out with the support of Cooperative Research Program for Agriculture Science & Technology Development (Project no. PJ010156022014), Rural Development Administration, Republic of Korea. The authors specifically thank the staff and crew of the National Center for InterUniversity Research Facilities (Seoul National University) for assistance with the NMR and GC/MS experiments. + We particularly wish to thank the SL Division for the efficient operation of the LEP accelerator at all energies and for their continuing close cooperation with our experimental group. We thank our colleagues from CEA, DAPNIA/SPP, CE-Saclay for their efforts over the years on the time-of-flight and trigger systems which we continue to use. In addition to the support staff at our own institutions we are pleased to acknowledge the References + The study was supported by the National Natural Science Foundation of China (81472390/ H1619,81472762/H1609), the National Funds for developing local colleges and universities (B16056001), General Project (1201410188). We thank Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University for flow cytometry analysis. + This work was partially supported by the CONACyT projects No. 29250E and 27676E, and the project IN114998 funded by the DGAPA-UNAM. + Steven Kalb, Yankai Li, Tim Cummings, Bryan Hammons, Deborah Farr and Justin Carter assisted with this research. + We thank Werfen/Instrumentation Laboratory for providing us with the test kits for the inter-center comparison. + Acknowledgments We thank Petra Laspe and Antje Apel for invaluable technical assistance. This work was supported by grants from the German Cancer Aid (Deutsche Krebshilfe) and the Deutsche Forschungsgemeinschaft DFG (GRK1034). + We would like to thank Dr. Rick G. Pleijhuis for kindly developing a user-friendly web-based calculator based on our updated models to facilitate the use of our models. G.J. The study funders did not participate in the design of the study; the collection, analysis, or interpretation of the data; the writing of the manuscript; or the decision to manuscript submission. + The authors are grateful to the Spanish government project TEC2010-20224-C02-01 and the European project ECOAL-MGT -SUDOE Program. + The authors would like to thank the referee for his suggestions which helped in improving the paper. + Foremost we thank Dr. Robert C. Drewes who continues to initiate, coordinate and lead multiorganism biotic surveys on São Tomé and Príncipe. We thank Eng. + Acknowledgements. We thank the referee, especially for pointing out [1, Theorem 2] which simplified the proof of Theorem 5.1 considerably. + The present study was supported by the Key International Cooperation Program of the National Natural Science Foundation of China (project no. 31110103916; Beijing, P.R. China), the Agricultural Science and Technology Innovation Program (ASTIP-IAS08; Beijing, P. R. China), and the China Agriculture Research System (project no. CARS-42; Beijing, P. R. China). + I would like to thank the following people for all their help and professional support in the completion of this book: George Banks, Menu Development, British Airways, London. Scott Chapman, Senior Partner, Medical Litigation, Tress, Cox and Maddox, Sydney, Australia. + Collecting trips in Asia were funded through USDA-ARS Specific Cooperative Agreements 58-5320-9-382 and 58-5320-4-018, managed by the University of Hawaii's College of Tropical Agriculture and Human Resources (UH-CTAHR). A study trip in Australia was covered by Farm Bill funding (project 3.0251), through a Cooperative Agreement between USDA and UH-CTAHR. Additional support was provided by USDA-NIFA Hatch projects HAW00942-H and HAW00956-H, administered UH-CTAHR. We also thank Anthony R. Clarke for reviewing an earlier version of the manuscript and Richard A.I. Drew and David L. Hancock for their insight, mentoring and long hours discussing the relationships among species in the OFF complex and the higher classification of dacine fruit flies. Desley Tree and Justin Bartlett provided access to the impressive QDAF fruit fly collection in Brisbane. The use or mention of a trademark or proprietary product does not constitute an endorsement, guarantee, or warranty of the product and does not imply its approval to the exclusion of other suitable products by the U.S. Department of Agriculture, an equal opportunity employer. + This study was supported by grants from the CLL Global Research Foundation, the EUCAAD 200755 project funded under the auspices of the EU Seventh Framework Programme, the Cancer and Allergy Foundation, the Swedish Research Council/SIDA/ SAREC, the Iranian Ministry of Health and Medical Education, the Swedish Cancer Society, the Cancer Society in Stockholm, the King Gustaf Vth Jubilee Fund, Vinnova, the Karolinska Institutet Foundations and the Stockholm County Council. + We are grateful to the Career Training Interexchange program that facilitated the training period of Maitane Olabarrieta within the USGS. Maitane Olabarrieta also acknowledges funding from the ''Cantabria Campus International Augusto Gonzalez Linares Program.'' We would also like to thank Giovanni Coco, John C. Warner, and Falk Feddersen for their support with this work and constructive suggestions. We are also grateful to the developers of the COAWST modeling system, SWAN, and ROMS models. WRG was supported by ONR grant N00014-13-1-0368. The authors would also like to thank Sergio Fagherazzi, Xavier Bertin, and the third journal reviewer for their suggestions. The data and numerical results used in this paper will made available upon request to the main author. + We thank the Red Wolf Recovery Program, specifically Rebecca Bartel, Art Beyer, Chris Lucash, Ford Mauney, Michael Morse and Ryan Nordsven for their support. We also thank Kristin Brzeski for constructive comments on the manuscript. The findings and conclusions in this article are those of the authors and do not necessarily represent the views of the U.S. Fish and Wildlife Service. + We are grateful to the families and patients who have participated in this research study. We acknowledge Hilde Van Esch for help with patient recruitment, and we thank Yi Mu, UC Davis Department of Public Health Sciences, for assistance with data management and analysis. + Acknowledgements. I would like to thank the referee for his/her careful reading and valuable comments. + The authors are thankful to the Marine Products Export Development Authority (MPEDA, Kochi), the Chief Executive of National Fisheries Development Board, Hyderabad and Dr.R.Jaya Kumar, Senior Scientist, CMFRI Mandapam. We are also grateful to Sri. Rama Sankar Naik, IAS, Commissioner of Fisheries, Andhra Pradesh, India. + This research was supported by a grant from the National Cancer Institute (R37-CA-057030). + The project described was supported by Grant Number OH 03970 from CDC-NIOSH to MFB and AR051212 from NIAMS to AEB, the Sandler Foundation, NIH Grant NS-10414, Centre National de la Recherche Scientifique (CNRS, in destruction process), Ministère de l'Enseignement Supérieur et de la Recherche, Fondation NRJ -Institut de France to JOC and MR. FS was partly supported by a HFSP long term fellowship LT 00743/1998-B and partly by personal fundings. + We would like to thank the Medical Research Center of Peking University Third Hospital for technical guidance. PC3 and HEK293 cells were kindly donated by Wei Zhang, PhD from the Institute of Zoology, Chinese Academy of Science. + There are so many people to thank for this book that it could've + We are grateful to Simone Duis and Natalia Pavlova for help with surgeries, Laetitia Baud for assistance with animal care, Quentin Barraud and Julie Kreider for histological analyses and anatomical reconstructions, and Samuel Gex for help with building the robotic device. + I thank M. T. Mponda for her patience and extra time devoted to typing the original manuscript. I also thank D. E. C. Mughogho for his moral support and reviewing of the initial draft. Lastly I thank the anonymous referees of my paper for their useful comments. + The assistance of Mrs L.K. Frymovich in preparing the manuscript for publication is greatly appreciated. + The author would like to thank Graeme Chamberlin, Barry Williams and Chris Davies for their comments. + Acknowledgements We thank Professor Anders Lund for giving us access to the EPR lab at IFM-Chemical Physics, Linköping University and Professor Sandra S. Eaton, University of Denver, for advice concerning EPR data analysis. We acknowledge Professor Mikael Lindgren and Dr. Malin Persson for valuable discussions and advice. We also gratefully acknowledge Dr. Christian Altenbach, University of California, Los Angeles, for providing his software for determining inter-residue distances. This work was supported by grants from the Swedish Foundation for Strategic Research (PH), the Swedish Research Council (BHJ, PH, and UC), and the Knut and Alice Wallenberg Foundation (BHJ, PH, and UC). PH is a Royal Swedish Academy of Sciences Research Fellow supported by a grant from the Knut and Alice Wallenberg Foundation. + Ronald L. Jacobs, Chair + We thank Dr. Aiping Lin at the Yale W.M. Keck Biostatistics Resource for analysis of microarray data. Supported by grants from the National Institutes of Health to SG. + The statistical evaluation by Michael Obermayer (GKM Gesellschaft für Therapieforschung mbH, Munich) is acknowledged. + The authors would like to acknowledge the Research Council of University of Tehran and the Iran National Science Foundation (IN SF ) for the grants provided for them. They also would like to sincerely thank Professor Ian Thompson for his valuable help regarding the FRESCO code. + This study was supported by a VHS Medical Center Research Grant, Republic of Korea (grant number: VHSMC 15012). + This work was supported by a grant from the National Institutes of Health (NHLBI R01 HL64794). + I am grateful to Mrs Nicolette Budden, Mrs Stella Oates and Mrs Catherine Wright for assistance in the preparation of this article. I also wish to thank Professor A. Hewish FRS, Sir Maurice Wilkes FRS, Professor K. Suchy, Dr R. P. Mercier, Dr A. J. M. Garrett, Dr M. Rycroft and a number of others for helpful comments on the article in draft form. I also thank the Society's referee for advice. Librarians at St John's College, Cambridge, and at Churchill College, Cambridge, kindly assisted with access to archival material. Kenneth Budden left very extensive autobiographical material on computer disks, which I have used and occasionally quoted. The frontispiece photograph was taken by Walter Bird and is reproduced with permission from the Godfrey Argent Studio. + The authors wish to thank dental students Barbara Mikecs, Júlia Németh, Péter Csányi, and Adél Ruszin for their assistance in collecting data. This study was funded by the Research Fund of the Faculty of Dentistry, Semmelweis University, Hungary (4030511599 and 5111141075), and the Hungarian Scientific Research Fund (OTKA K112364 and K-112964). The Mucograft was kindly donated by the manufacturer (Geistlich Pharma AG, Switzerland). + The authors are grateful to INSS (Japan), EDF (France), Areva (France), and EPRI (US) for supporting their SCC-related research. + We thank AstraZeneca for providing AZ-4217, Mark Smith (Imperial College, London) and Yuchio Yanagawa (Gunma University, Maebashi) for VGlut2-GFP and GAD67-GFP tissue, respectively. This work was funded by Medical Research Council (MR/K003291/1), Diabetes UK (12/0004458), British Heart Foundation (PG/15/44/31574) and Biotechnology and Biological Sciences Research Council CASE (with AstraZeneca) award (BB/I015663/1) to MLJA and by a grant to LKH from the Wellcome Trust (WT098012). + The authors thank the subjects who participated in the study. + We gratefully acknowledge financial support from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), Proc. 95/3636-3. + This study was supported by a restricted grant from Roche. The funder had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. + We thank Ada Tam, Hao Zhang and Lee Blosser of the Johns Hopkins Core Flow Cytometry facilities for their assistance with flow cytometry and cell sorting. + The study was supported by University of Udine, Italy, Associazione "Mi Fido di Te" ONLUS and Fondazione Cassa di Risparmio di Città di Castello, Italy. + The VHR imagery was provided by the US Department of State (USDS) Humanitarian Information Unit, under the NextView License. The authors thank the FAO-SWALIM staff, without whom the field campaign would not have been possible. Finally, the authors thank Dr Roberto Colombo of the University of Milan-Bicocca for the field spectroscopy equipment used in the field campaign. + We thank Rick van Leeuwen, Wouter Verhesen, Kevin Custers, and Hans Duimel for their technical support. + Acknowledgements. This research was supported by grants to RL, BZ and KV from the Swedish Cancer Society, the Stockholm Cancer Society, the Swedish Research Foundation, the Swedish Childhood Cancer Foundation, the Swedish National Board of Health and Welfare, the Stockholm County Council, the Karolinska Institutet Research Fund and the European Union FP6 (Chemores), and FP7 (Apo-Sys). VOK was supported by a fellowship from the Swedish Institute and Karolinska Institutet and AHV from the Wenner-Gren Foundation. + This manuscript benefited from careful and constructive reviews by J. P. Brun Geochemistry, Geophysics, Geosystems + The study is funded by Medtronic Inc. + We acknowledge J. A. Hoyos for a critical reading of this manuscript and useful comments. The financial supports from CNPq and FAPESP, under grants 15/04451-2 and 307620/2015-8, are also acknowledged. + Acknowledgement: The authors wish to thank H. Dong, J. Guzman, and I. Tice for their discussions and pointing out references [2, 13, 14] on regularity of Stokes problems in a domain with corners. Y. Guo's research is supported in part by NSF C grant 10828103 and NSF grant DMS-0905255, and T. Nguyen's research was supported in part by the NSF under grant DMS-1405728. + The authors are grateful to Christian Lafarge for animal care and Anne Diot and Corine Pouyet for participation in tissue protein synthesis determination. The authors had no conflicts of interest. This research was supported by the Proteus Bilateral Programme between Slovenia (Slovenian Research Agency) and France (French Research Ministry). The contribution of each author was as follows: T. P., conception and design, tissue sampling, data processing, drafting and revision of the manuscript; L. M. and D. R., conception and design, tissue sampling, revision of manuscript; M. C. R., protein synthesis rate determinations; C. B., design, tissue sampling, blood cell counts and MPO determinations, data processing; J. S., conception and design, tissue sampling, data processing, revision of manuscript; P. P. M., conception and design, animal experiment, tissue sampling and revision of manuscript. + The authors gratefully acknowledge BAU-USDA Soybean Project, for financial assistance to conduct this experiment. + Acknowledgments KS-A, RM, XY, CL, LG and MV wish to thank Changyu Fan and Yun Shen for providing informatics support. + The publication of this article was funded by the Qatar National Library. + This work was supported by the National Science Foundation with Grant BCS 9207007. Drs Petrie and Collins were research residents supported by the Department of Orthopaedics. No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article. + We wish to thank the women for their participation in this study. + The authors would like thank the financial support from the Portuguese Foundation for Science. + This work was supported by a Grant from the National High Technology Research and Development Program of China (863 Program, no. 2014AA093501) and National Natural Science Foundation of China (Project nos. 30672742, 30873353, and 30930113). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the paper. Dr. Ling Xu and Dr. Jin Yu are co-first authors. + This work was supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) Grant No. R01-EB-002091 and through a NIBIB American Recovery and Reinvestment Act Administrative Supplement. + We gratefully acknowledge the contribution of participating parents and children, general practitioners, hospitals, midwives and pharmacies in Rotterdam. + Contributors/Acknowledgement: All authors participated equally in designing and estimation of current research. Views and opinions expressed in this study are the views and opinions of the authors, Asian Journal of Agriculture and Rural Development shall not be responsible or answerable for any loss, damage or liability etc. caused in relation to/arising out of the use of the content. + The encapsulating style of delivery was proposed by Charlie Perkins. Jim Solomon has been instrumental in shaping this document into its present form. + The authors declare that there is no conflict of interests regarding the publication of this paper. + We wish to thank Dr. Solomon S. Senok at Alfaisal University, Saudi Arabia for critically reading the manuscript, improving English text and providing constructive comments on the manuscript. This work was supported by + Special thanks to Dr. Wil Linkugel for encouraging the continued exploration of Franklin Roosevelt's 1932 campaign orations and drawing the author's attention to this particular speech and Mr. Andrew Crick for his editorial assistance throughout the project. + We thank Dr. Kohki Yoshimoto for the use of atg mutants and Dr. Shinya Wada for the use of GFP-ATG8 transgenic plants. + We thank Ms. Meehye Kim for technical assistance. This work was supported by grants from the Korean Academy of Tuberculosis and Respiratory Diseases. + Authors are grateful to the Leeds group of Prof. A.A. Watson for the array disposition and maintenance, in particular J. Beaman, J. Lloyd-Evans, P. Ogden and M. Patel. The same gratitude is due to the Palermo group of Prof. L. Scarsi for the PLASTEX and RPC operations. A particular thanks are to Dr. J. Knapp and Dr. D. Heck for their indispensable help in installing and running CORSIKA 4.50 Monte Carlo in Naples. + The authors are thankful to KB Low for providing wild-type M13 and to S Alonzo, KB Low, D Vasseur, and GP Wagner for useful discussion. We are also grateful to J Bull for suggesting we explore a model of phage loss. We thank S Wielgoss and two anonymous reviewers for helpful comments on the paper. + This research is supported in part by ROC NSC under contract number NSC97-2221-E-128-005-MY3. Also, the author would like to thank Prof Horng-Twu Liaw and Mr Shin-Han Wu of Shih-Hsin University and Mr Chih-Ta Yen of National Taiwan University of Science and Technology for their help in this paper. + We acknowledge the National Collaborative Research Infrastructure (NCRIS) of Australia for providing access to bioinformatics computational pipelines used in this study and the Research Institute of Forestry, Chinese Academy of Forestry for financial support (ZD200902). + Funded by a grant from the National Institute on Aging (R01 AG023090). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Aging or the National Institutes of Health. + This study was supported by the International Center for Advanced Renewable Energy and Sustainability at Washington University in St. Louis, Missouri and the Johns Hopkins Global Center on Childhood Obesity (no. 2001656847). We thank the study participants for their cooperation and Leslie Duling and Nora Geary for their help in study coordination, data collection, and data management. + The authors gratefully acknowledge Solvay Engineering Plastics for supporting this work and for providing material data and specimens. This work benefited from the financial support of the French Minister for Research (ANRT) (Grant no: CNRS 079212: UM2 121532) and was performed in the framework of the European DURAFIP project (FUI project supported by Oseo). + The authors wish to thanks all those administrators and practitioners who participated in the study. A special acknowledgement is given to the funder of the research project the Centre jeunesse de Montréal Institut Universitaire. Its contribution makes this project possible. + Acknowledgments. This work was supported by PRGS under the Grant No. GRS100323, Universiti Malaysia Pahang, Malaysia. + The authors thank all of the study participants. We also thank James Hicks for his editorial assistance. + Acknowledgements. We thank the Australian Partnership for Advanced Computing (APAC) for generous grants of supercomputer time which have enabled this project. Support from the South Australian Partnership for Advanced Computing (SAPAC) and the National Facility for Lattice Gauge Theory is also gratefully acknowledged. DBL thanks Jefferson Lab for their kind hospitality where the majority of this research was performed. This work is supported by the Australian Research Council and by DOE contract DE-AC05-84ER40150 under which SURA operates Jefferson Lab. + The authors thank Kelli Hellenbrand and Sara Pladziewicz for helping the volunteer scans. Grant sponsors: NIH: R01NS066982-01; R21EB009441-01; R01EB006882-01. + This work was funded by NIH grants GM116381 and HG008140, and by the Howard Hughes Medical Institute. We thank Jeffrey Spence and Yun S Song for technical assistance. We also thank Ziyue Gao, Arbel Harpak, Molly Przeworski, Joshua Schraiber, and Aylwyn Scally for comments and discussion, as well as two anonymous reviewers. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + Acknowledgments Leiden University and NWO BSIK/BRICKS supported this research under Grant #642.066.603. Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. + This work was supported by the South China Chinese Medicine Collaborative Innovation Center (no. A1-AFD01514A05) and Characteristic Key Discipline Construction Fund of Chinese Internal Medicine of Guangzhou University of Chinese Medicine (2013)(2014)(2015). + The authors wish to thank all researchers involved during the project, especially to the staff of TecPes (Laboratorio de Tecnología Pesquera) at Pontificia Universidad Católica de Valparaíso (T Melo, CF Hurtado, D Queirolo, E Gaete, I Montenegro and R Escobar). Additional thanks to members of "Programa de Conservación de Tiburones, Chile" and ELASMOLAB staff at Universidad Austral de Chile for their valuable help with logistics, sampling and dissection help during fieldwork, especially J Lamilla, F Concha, H Flores, Y Concha-Perez and A Isla. + I thank K. Wang for providing the research environment required to perform these experiments and for helpful discussions, G. Seabold, E. Tytell, and M. Yoshizawa for critically reading the manuscript, G. Ashida for helpful discussions, and K. Nakao and R. Renden for additional scientific comments on the manuscript. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + We thank Oliver Rauhut (Bayerische Staatssammlung für Paläontologie und Geologie, München), Miriam Zelditch (University of Michigan), Johannes Knebel (Ludwig Maximilians University, München), Stefan Richter (University of Rostock), Walter Joyce and Eduardo Ascarrunz (both University of Fribourg) for discussion, and Michel Laurin (Sorbonne Universités, Paris) for comments on an earlier version of the manuscript. We further thank Matthew Lamanna (Carnegie Museum of Natural History, Pittsburgh), Alex Downs (Ruth Hall Museum, Ghost Ranch), David Gillette (Museum of Northern Arizona, Flagstaff) and Xu Xing (Institute of Vertebrate Paleontology and Paleoanthropology, Beijing) for access to collections. This study benefitted especially from critical comments of Jesús Marugán-Lobón (Universidad Autónoma de Madrid) and three anonymous reviewers. + The authors thank Y. Polyrakis and seminar participants in the Conference on Ordered Spaces and Applications (Athens, November 2011) for helpful comments. + The sketch for Fig. 1 was adapted from www.biologieunterrricht. info/-Media/umrisse-mensch.jpeg, licensed by Creative Commons. + The author acknowledges the assistance provided by officials of the Government of Pakistan. the united Nations and its specialized agencies. and non-governmental organizations engaged in providing help to Afghan refugees in Pakistan. The author is particularly grateful to the united Nations Population Fund (UNFPA) for allowing him to use material collected during a mission undertaken on their behalf in early 1989. Views expressed are the author"s own and not na€essarily those of the UNFPA. + This project has been supported by grants from the MCB RAS and the Russian Foundation for Basic Research (14-04-00004 and 13-04-01878-a). This research was partially carried out using the equipment provided by the IBCH core facility (CKP IBCH). Diffraction experiments were carried out on beam- + We thank all the ACCLAIM/COPD study investigators and Covance Inc. We also thank Dr Sharon Gladwin from Complete Medical Communications, who provided medical writing support. This study was funded by Almirall, S. A., Barcelona, Spain, and Forest Laboratories, Inc, NY, USA. Competing interests PWJ has received fees from a number of pharmaceutical companies, including Almirall, for speaking at meetings and for consulting and participating in advisory board meetings, and has also received support for research from GSK. SIR has consulted on or participated in advisory boards for numerous pharmaceutical companies, including Almirall, GSK, AstraZeneca, Novartis and Nycomed. He has received industry-sponsored grants from AstraZeneca, Biomarck, Centocor, Mpex, Nabi, Novartis and Otsuka. AA has received fees for speaking and consultancy, as well as funds for research, from Almirall, GSK, AstraZeneca, Boehringer Ingelheim, Esteve and Chiesi. PC has received fees for speaking and consultancy from Centocor, AstraZeneca, Chiesi, GSK, Boehringer Ingelheim, Nycomed, Novartis and Almirall, as well as research grants from Schering Plough and Centocor. HM has received funds for research and fees for consulting from a number of pharmaceutical companies. LF has served as a consultant to, and received lecture fees and grant support from, Nycomed, AstraZeneca, Boehringer Ingelheim, Chiesi, GSK, Merck Sharp & Dohme and Novartis. JFD has served on advisory boards for Almirall and Forest Laboratories. EDB has received remuneration for consulting and serving on advisory boards for Almirall, and his institution has received grants for taking part in clinical trials sponsored by Almirall and Forest Laboratories. NJG has received honoraria for presentations on COPD treatment at meetings sponsored by Almirall and Forest Laboratories, as well as payments for advisory board consultations. His institution has received research grants from Almirall and Forest Laboratories. RL and EGG are employees of Almirall. CC is an employee of Forest Laboratories, and holds stock and options in the company. + We thank Dr. Lyle Sensenbrenner for his critical review of the manuscript. + This work was supported by JSPS KAKENHI Grant Number 23500211. + We gratefully acknowledge financial support by Deutsche Forschungsgemeinschaft, Sonderforschungsbereich 412, University of Stuttgart. + Work on this project was supported by an operating grant of the Canadian Institutes of Health Research (CIHR), infrastructure grants from the Canadian Foundation for Innovation and generous philanthropic support by the A. Irwin family. DB was supported by a Canada Graduate Scholarship, and MM received an Ontario Trillium fellowship. + We thank the referee for providing valuable comments, and Jarle Brinchmann, David Sobral, and Simone Weinmann for useful discussions. We acknowledge funding from ERC grant HIGHZ No. 227749. + The authors wish to thank Gena Lattin, MS for her assistance with data collection. RS is the recipient of a Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NIH) career development award K23 HD052553. This project was supported in part by the Children's Health Research Center at University of Utah and Primary Children's Foundation. + Acknowledgements: The authors thank Dr M.C. Yadavannavar at BLDE University for his assistance with data collection, Dr Veena Algur for her assistance with translation of study materials, and the adolescents and their families for participation in this study. + The authors thank the Unit of Support for Technical and Scientific Research (UATRS, CNRST) for the X-ray measurements. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: BT5773). + The authors are grateful to the department of chemistry, Niger Delta University, PMB 071. Wilberforce Island. Bayelsa State. Nigeria, where both the experimental determination of proximate and mineral analysis were conducted. + Acknowledgements. The authors wish to thank W. Bode (Martinsried) for helpful suggestions, M. Dumbsky for expert technical assistance, H. Hof (Mannheim) for help in the preparation of anti- + We thank the Wildlife Conservation Society (Russia), Eugenia Bragina for the invaluable help in writing the report, Irina Maslova, Yuri Petrunenko and Alexander Nikanorov for valuable comments + The writers are indebted to E. Navarro Raga, P. Gómez Garcia and M.T. Mínguez Hernández from the SCSIE Electron Microscopy Unit at the University of Valencia for their useful technical help, and M. Palomo Navarro for assistance with sample collection. Ramirez P and Menendez R are + This research was supported by the College of Agriculture and Life Sciences, the Graduate School, and a grant from the National Institutes of Health (GM-21205). I thank Dr. T. Ishikawa for providing the TS mutants and Dr. R. K. Littlewood for permission to present unpublished data from his Ph. D. dissertation on growth of the extrachromosomal mutants. The excellent technical assistance of Ms. P. Riese is acknowledged. + This research was supported in part by funding from the University of California Office of the President's Office of Research and Graduate Studies. Authors acknowledge the UC BRAID for project and data management support; Verónica Hoyo, Ph.D. (UCSD) for her help in editing and graphics, and John Heldens and Dan Redline, former program directors at UCSF and UCD, respectively, for their contributions to the developmental stages of this study. + We thank the Centers for Disease Control (CDC) for A/California/04/09 virus and Ron Fouchier (Erasmus University, Rotterdam, The Netherlands) for A/Netherlands/603/09 virus. We thank Krisna Wells for editing the manuscript, Martha McGregor, Rebecca Moritz, Anthony Hanson, Hideaki Ishida, Hideaki Tsuchiya, Ryuzo Torii, Naoki Yamamoto, Kosuke Soda, Naoki Nomura, and Hiromi Yoshida for excellent technical assistance. We also thank Takashi Umemura, Yuji Sunden, and Tomohisa Tanaka for pathological analyses of virus-infected pigs. + This research was supported by a Grant from the Korea Institute of Oriental Medicine (K12130) and funds from Michigan AgBioResearch. + We are indebted to Dr Ulrich Desselberger, Dr James Richards and Prof. Andrew Lever (University of Cambridge) for the generous gift of the full-length cDNA copies of RV genomic segments for in vitro transcription; Dr John Patton for sharing a DNA clone pQE60g8C for expressing group C rotavirus NSP2. The authors would like to thank Dr Ulrich Desselberger (University of Cambridge) for critical reading of the manuscript; Prof. Takeshi Kobayashi (University of Osaka) for his valuable advice and discussions on the rotavirus reverse genetics system established in his laboratory. We thank Dr John T. Patton (University of Maryland), Prof Peter Stockley, Dr Roman Tuma and Mr Jack Bravo (University of Leeds) for valuable discussions and comments during the preparation of the manuscript. Available at Dryad Digital Repository under a CC0 Public Domain Dedication + The encouragement and constructive criticism of earlier versions of this paper by many friends and colleagues, especially Robert Austin, Martin Johanson, Sam MacAulay, Volker Mahnke, Ram Mudambi, Rajneesh Narula, Christos Pitelis and John Steen, are gratefully acknowledged. + We thank Ms Chiori Fukuyama for her skillful technical assistance. This study was supported by Grants-in-Aid for Scientific Research on Priority Areas (no. 17016065 and 16062101, to R. Ueda) from the Ministry of Education, Culture, Science, Sports, and Technology, Japan, and Grants-in-Aid for Cancer Research from the Ministry of Health, Labor, and Welfare, Japan (no. 17S-1 and 17-16, to S. Iida). + The work of N.E.M. is partially supported by P.P.A.R.C. (U.K.). E.W. wishes to thank Oriel College (Oxford) for financial support and the Department of Physics, University of Newcastle (Newcastle-upon-Tyne) and CERN Theory Division for hospitality. + We would like to thank Lucilla Scuto (Central Core Lab, EuroImaging, Rome) for careful assistance in collecting digital images from the suburban centres, and in storing echo and ECG readings. We are also grateful to Dr Tarcisio Vago, Ospedale Luigi Sacco (Milan, Italy) for assaying NT-proBNP, and to Margareth Becker for her help in editing the manuscript. They funding body had no role in the concept or design of the study, or in the data reporting. + This study was supported in part by National Institutes of Health Grants R03 CA108364 (L.E.W.), P50 CA116199 (H.G.), R01 ES011740, and R01 CA131274 (Q.W.), and P30 CA016672 (M. D. Anderson Cancer Center). We thank Margaret Lung for her assistance in recruiting the subjects; Yawei Qiao, Kejing Xu, Zhensheng Liu, Jianzhong He, and Yinyan Li for their laboratory assistance. + This work was published with the kind financial support of Bulgarian Science Fund. + Acknowledgements This trial was funded and sponsored by Cancer Research UK (grant number C357/A12197). Also supported by the Christie NHS Foundation trust, the European Union FP6 Programme 'ATTACK' and Manchester Cancer Research Centre Biobank. Sincere thanks go to all the patients and their families who participated in this trial. + The authors declare that they have received no funding for the research reported. + The authors thank Susanne Schwanz for technical support, Oliver Gould for his help with the figure design, and Clemens Kunz (Friedrich-Schiller University Jena) for help with the formation of defined damages in the samples utilized for self-healing experiments. This work was supported by the Helmholtz-Association through programme-oriented funding. + Dr. Peter Hasselbacher kindly provided the histologic and immunofluorescent studies of the skin biopsy. Dr. F. C. McDuffie generously performed the monoclonal rheumatoid factor assays. + This book could not have existed without Conor Sally, who rejects all thanks and recognition but debated every comma on every page and supported me at every stage. I could not ask for a better friend, partner, cheerleader or taskmaster and will never be able to express the depths of my love and gratitude. + We thank the participants in the study. Funding. No funding or sponsorship was received for this study or publication of this article. The article processing charges were funded by the authors. + This work is founded by the German Research Foundation (DFG) (Contract CH 943/2-1). The authors would like to thank Wolfgang Dittus, and Stefan Paetel from Zentrum für Sonnenenergie-und Wasserstoff-Forschung Baden-Württemberg for preparing the CIGS absorber layer for this work. + We thank two anonymous reviewers for helpful comments that improved the manuscript. + We would like to thank David Rand, Hugo Sequeira, LIAAD-INESC Porto LA, Centro de Matemática da Universidade do Minho, Fundação Calouste Gulbenkian, Fundação para a Ciência e a Tecnologia (FCT), PRODYN-ESF, and Jorge Carneiro and Jorge Zubelli for all the encouragement and helpful comments. We thank the Programs POCTI and POSI by FCT and Ministério da Ciência, Tecnologia e do Ensino Superior, Calouste Gulbenkian Foundation, Centro de Matemática da Universidade do Minho (CMAT) and Centro de Matemática da Universidade do Porto (CMUP) for their financial support. Bruno Oliveira gratefully acknowledges financial support from PRODEP III by FSE and EU and Miguel Ferreira gratefully acknowledges financial support from Fundação para a Ciência e a Tecnologia (FCT) given through a PhD scholarship. + Acknowledgements: We thank Dr. F. Leal for technical assistance in FPLC analysis and N.S.D. Skinner for proofreading the manuscript. + Acknowledgments The authors are grateful to Nicky Wilkinson for advice on data protection issues and Adrian Smith and Dr. Cesar Pichardo-Almarza for testing the on-line analysis tools and reporting tools during the development of the DISRUPT postprandial database. We also thank Drs. Pieter Groot, Charlotte Walden and Cesar Pichardo-Almarza for proof-reading of the manuscript. the DISRUPT project was funded by a BBSRC Industry Interchange Program (IIP/ 0307/009). + Acknowledgments. This work was funded by the National Science Foundation (Grants OCE-0647667, OCE-1537890, AGS-1036062, AGS-1036006, and AGS-1444294), the National Oceanic and Atmospheric Administration (Grant NA07OAR4310094), and the Natural Environment Research Council (Grant NE/ J020893/1). The authors thank the anonymous reviewers for thoroughly and critically evaluating the manuscript. They are also grateful to the crew of the R/V Knorr for supporting us while chasing storms and that of the NOAA ship Ronald H. Brown for their support during SO GasEx. Data from the HiWinGS cruise will be made available via anonymous ftp (ftp1. esrl.noaa.gov/psd3/cruises/HIWINGS_2013/Collective_ + We thank Xiaoxiao Bai for helpful comments on the manuscript. This work was supported by the Patrick and Catherine Weldon Donaghue Medical Research Foundation, and by the Betsy and Jonathan Blattmachr family. Li Yang was supported by the China Scholarship Council. + We most thank Dr. Behnam Baghianimoghadam for his consultation in the translation, editing and publication of the manuscript. + The authors thank Ms. K. Arnold for excellent help with receptorbinding assays; Dr. Susan Potter-Perigo for preparing the purified proteoglycans; Dr. Robert W. Mahley for stimulating discussions and support; Drs. Stanley C. Rall, Eva-Hurt Camejo, German Camejo and Karl H. Weisgraber for comments on the manuscript; S. Ordway and G. Howard for editorial assistance; and J. Carroll and S. Gonzales for graphics. J. Borén was supported by a Howard Hughes Postdoctoral Fellowship for Physicians. This work was also supported by National Heart, Lung, and Blood Institute grants HL-47660, HL-18645, DK-02456, and HL-30086. + Acknowledgements: The authors would like to thank Rob Aalberse for critically reading the manuscript. + We thank the Jefferson Lab physics and accelerator divisions for their contributions. This work was supported by the US Department of Energy (including contract DE-AC02-06CH11357), the US National Science Foundation, the Israel Science Foundation, the Korea Science Foundation, the US-Israeli Bi-National Scientific Foundation, the Natural Sciences and Engineering Research Council of Canada, the Killam Trusts Fund, the Walter C. Sumner Foundation and the Deutsche Forschungsgemeinschaft (SFB 443). Jefferson Science Associates operates the Thomas Jefferson National Accelerator Facility under DOE contract DE-AC05-06OR23177. The polarimeter was funded by the US National Science Foundation, grants PHY 9213864 and PHY 9213869. + This work was financially supported by the National Natural Science Foundation of China (No. 81630093, 81874293). We thank Mr Hongbo Zheng and Ms Ke Xu for the NMR measurements. Ms Yanan Qiao and Dr Jiaozhen Zhang are also acknowledged for the X-ray diffraction analysis. + The excellent assistance of Susan V. Castro, PhD, in the preparation of the manuscript is gratefully acknowledged. + The reverse transcriptase was a gift from Dr J. Beard. We thank Drs M. Jacquet and N. Affara for helpful discussion, Christian Sahuquillo for his excellent technical assistance, and Denise Baron for typing the manuscript. A. F. was supported by a long-term European Molecular Biology Organisation fellowship. + Acknowledgments. This work was supported in part by National Institutes of Health Grants 5P50CA127003, R01CA149222, R01CA118 553, and National Cancer Institute Cancer Center Support Grant 5P30CA06516. We thank Dana-Farber/Harvard Cancer Center in Boston, MA, for the use of the Pathology Specimen Locator Core, which provided data on KRAS mutation testing. + The radar measurements used in this study can be obtained from the Madrigal database at http://jro.igp.gob.pe. The Jicamarca Radio Observatory is a facility of the Instituto Geofisico del Peru operated with support from the NSF AGS-1433968 through Cornell University. Work at UT Dallas was supported by NSF AGS-1261107 and AFOSR FA9550-13-1-0095. + [25] Acknowledgments. This work was supported by the NASA Tropical Rainfall Measuring Mission (TRMM) Program. The authors would also like to thank V. N. Bringi of Colorado State University and Bob Meneghini at NASA/GSFC for their discussions. + The Pennington Center Longitudinal Study is registered at ClinicalTrials.gov (Identifier NCT00959270). Special thanks to Connie Murla and Aimee Stewart for data management, as well as the many clinical scientists and staff of the Pennington Biomedical Research Center who have contributed data to the development of the Pennington Center Longitudinal Study. V C 2012 The Obesity Society + This work is supported by National Institute on Alcohol Abuse and Alcoholism (NIAA) Grant P20 AA017837 (LEN and CMC) and NIH Metabolism Training Grant T32-DK007319 (DAD). + We would like to acknowledge the families for their participation and support and Dr. Dilek Aktas for discussion. Our work was supported in part by the grant from the National Institutes of Health/National Human Genome Research Institute, number 1U54HG006542. Grant sponsor: National Institutes of Health/National Human Genome Research Institute; Grant number: 1U54HG006542. + This work was supported by the following awards: MRC Milstein award G0801721 (to MIH), NERC research grants NE/ J01074X/1 (to MIH) and NE/M015033/1 (to MIH/BW), Norwich Research Park (NRP) Translational Award (to BW/MIH), and a BBSRC NPRONET (BB/L013754/1) Proof of Concept award (to MIH/BW). RD is funded by a Norwich Research Park BBSRC Doctoral Training Program Studentship BB/M011216/1 and ZQ is funded by the BBSRC via Institute Strategic Programme Grant BB/J004561/1 to the John Innes Centre. The authors declare no conflicts of interest. We thank Catherine Tremlett, Andrew Hart and Ashleigh Crane at the Norfolk and Norwich University Hospital for the VRE strain and Justin O'Grady at the UEA Medical School for the MRSA strain. We are also grateful to Dr Jioji Tabudravu, University of Aberdeen, for his kind comments. KAW would like to thank the South African Centre for High Performance Computing for access to computational resources. + We wish to express our gratitude to Drs H.Tanida, S.Y.Park, S.Adachi and T.Hikima for their help in the data collection at SPring-8. This work was supported by grants for the`Research for the Future' Program from the Japan Society for the Promotion of Science (97L00501) and for the National Project on Protein Structural and Functional Analyses from the Ministry of Education, Culture, Sports, Science and Technology. + We wish to thank many colleagues in hospital and in practice, particularly Dr. K. Shirley Smith and others at the London Chest Hospital, who have kindly referred patients needing valvotomy. We are especially indebted to Mr. J. R. Belcher, who has taken an active part in the surgical management of the Middlesex Hospital patients. + The authors are grateful to the Centre for Chemistry and Biotechnology and Deakin University, Australia for supporting biofuel research. The authors thank Mr R Chaudhary, Dr R Kanwar, Prof J R Kanwar (Medical School, Deakin University) and A/Prof TTsuzuki (University of Canberra), for providing the magnetic nanoparticles. The authors are also grateful to the Electron Microscopy facility at the Institute for Frontier Materials (IFM), Deakin University, Australia for conducting the SEM work. + We thank our coworkers in the laboratory for their valuable discussions and suggestions. + The authors thank Ms. Masayo Tada for her excellent technical assistance and measurements of serum and hepatic enzymes and components. This work was supported by Gifu City Subsidiary for project creation "Industry-AcademicGovernment Cooperation Project Subsidiary". + This work was supported by Inha University research grant (No. 53670). We thank Prof. Jin Min Kim for insightful comments. + The authors are thankful to Director, CSIR-National Botanical Research Institute (CSIR-NBRI), Lucknow for the facilities and for the financial support from the network projects (CSIR-INDEPTH), New Delhi, India. APS is thankful to University Grant Commission, New Delhi, India and GD is thankful to CSIR, New Delhi for the award of Junior/Senior Research Fellowship and Academy of Scientific and Innovative Research (AcSIR) for his Ph.D. registration. Award of Fast Track Scientist to SM from DST is gratefully acknowledged. Award of Emeritus scientist (CSIR) project to RDT is gratefully acknowledged. + Acknowledgements. First and foremost, we thank P. J. Zinke for an insightful paper that inspired generations of ecologists. We are grateful to Will Pearse for statistical advice. We also thank the authors of the many published studies that we reviewed for this manuscript and two anonymous reviewers whose comments improved this manuscript. + Work at UB and UWM was supported by National Science + We acknowledge funding by the German-Israeli Foundation, and the DFG (Grant No. SA1031/6 and Excellenzcluster QUEST). + We thank B Anderson, R Pantelic, K Goldie, and M Chami for expert technical assistance, S A Müller for extensive comments on the manuscript, M Kuhn for plasmid and strain contribution, K Namba for discussions and Martin Jacquot for support with the supercomputing infrastructure of University of Basel. + TGT thanks Ms. J. Sridevi, CSIR-Central Leather Research Institute, Chennai for EPR measurements and CSIR for financial support. SCS and RSS thank IISER-TVM for computational facilities and financial support. The authors thank Abbey M. Philip for suggesting the possibility of simulating EPR using EasySpin. + This work was funded by Istanbul University Scientific Research Project 33202. We thank Mr David F Chapman for editing the manuscript. + The present study was produced from the master thesis of Deniz YILDIRIM, DVM (Afyon Kocatepe University, Graduate School of Medical Sciences, Afyonkarahisar, Turkey, 2011). We would like to extend our thanks to Dr. Kürşat KAV, a deceased faculty member at the Microbiology Department of Veterinary Medical School of Selçuk University for his valuable technical assistance and we cordially convey our deep sorrow for his untimely death and commemorate him with mercy. + The study was funded by a grant from the US Agency for International Development and technical oversight was provided by MEASURE Evaluation. Secondary data analysis was conducted with permission of all collaborating authors. + The authors are supported in part by NIMH 5R01MH054636. MBV is supported by a National Defense Science and Engineering Graduate Fellowship (NDSEG). + Supported by grants from the National Eye Institute EY03991, P30-EY012576, and Research to Prevent Blindness. We thank Dr Serena Fabbrini for providing Sap-3 isomer. + Financial /nonfinancial disclosures: The authors have reported to CHEST the following conflicts of interest: the University of Colorado, Denver has a contractual relationship with the pharmaceutical industry (Actelion, Gilead, Pfizer, United Therapeutics) for Dr Ivy to provide consultation. All monies are sent directly to the University of Colorado, Denver. Dr Stenmark has received pharmaceutical company grant monies from Pfizer. Drs Yeager and Takatsuki, Mss Nguyen and Colvin, and Mr Belchenko have reported that no potential conflicts of interest exist with any companies/organizations whose products or services may be discussed in this article. + This research was partially financed by the RECUPERA-2020 (an agreement between CSIC and Spanish MINECO, EU-FEDER funds) and AGL2014-52465-C4-4-R Projects (MINECO, EU-FEDER funds). Research of Torres-Sánchez and Peña were financed by FPI and Ramon y Cajal Programs, respectively (Spanish Ministry of Economy and Competitiveness). The authors thank Mr. Bernardo Crespo for allowing developing our field work in his farm. + We thank Patric Jern for critical reading of the manuscript and useful suggestions. We thank associate professors Ewa Lundgren and Anders Liss for their valuable help with collecting samples. The study was supported by funds at the Academic Hospital, Uppsala, Sweden. + Cláudia Maria Valete-Rosalino, Armando de Oliveira Schubach and Madson Pedro da Silva Leite were responsible for the design of the study. Madelon Novato Ribeiro, José Liporage Teixeira and Monique Reis da Fonseca collected data. All authors were responsible for conducting the study and managing data; Madelon Novato Ribeiro, Cláudia Maria Valete-Rosalino, Raquel de Vasconcellos Carvalhaes de Oliveira, Maria Inês Fernandes Pimentel and Armando de Oliveira Schubach analyzed and interpreted data, and prepared manuscript; all authors reviewed and approved manuscript. We are grateful to Jacline Novato Ribeiro, Margareth de Araújo Silva, Michele Aparecida Ferreira Moreira de Oliveira, Fátima Peres Lima Dantas and Felipe Maia Maquieira da Silva for their help with the patients before the interviews. We also thank Dr. Sandro Javier BedoyaPacheco for help with the database. This study was funded by PAPES-FIOCRUZ, National Council for Scientific and Technological Development (CNPq) and Carlos Chagas Filho Foundation for Research Support in the State of Rio de Janeiro (FAPERJ). Funding agencies had no interference in the design and conduct of the study; collection, management, analysis and interpretation of the data; and preparation, review, or approval of the manuscript. + We would like to thank Professor L. Ernster and Dr P. Gellerfors for their helpful discussion and suggestions, and Miss B. Persson for excellent technical assistance. The work was supported by a grant from the Swedish Cancer Society and by an EMBO short-term fellowship to F.G. + We are indebted to Professor G. F. Azzone for helpful discussions and for reading the manuscript. The expert technical assistance of Mr Luciano + The author would like to thank Prof. F. Klinkhamer and Prof. E. M. C. Abreu for useful discussions. The author would also like to thank Prof. U.Tirnakli for sending reference [22] . + The authors are grateful for financial support from the Henan Administration of Science and Technology (grant No. 0111030700). Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: BV2111). + The author is grateful to Brian Brush for his helpful comments and suggestions and acknowledges the financial support from the College of Business Administration Miles Research Grant at Marquette University. + The authors acknowledge the support from the Swiss National Science Foundation (projects 137630 to U.S. and 160055 to H.B.). Special thanks go to the technical and scientific members of the Geneva and Zurich research groups who helped at all stages of this study. H.B. thanks Peter Hochuli (University of Zurich), Jean Guex and Torsten Vennemann (both University of Lausanne), and Helmut Weissert and Stefano Bernasconi (both ETH Zurich) for long term and highly stimulating scientific discussions. + The author would like to thank Prof. Dr. Ronald H. W. Hoppe and Prof. Dr. H.-J. Bungartz for the kind invitation to deliver a plenary lecture at the Annual Meeting of GAMM at Augsburg in March of 2002. The content of paper is based on that lecture. The author would also like to thank Ryuta Suzuki for discussions leading to a better presentation of the material in this paper. + The last author would like to thank George Lowther for the idea of non-linear bounds, Michael Greinecker for his hints on dealing with kernels, and other users of MathStackexchange and MathOverflow for their valuable comments regarding measure theory and coupling. + We thank Pr André Dufour for his help with statistical analyses. + We want to particularly acknowledge the patients enrolled in this study for their participation and the Basque Biobank for Research-OEHUN for its collaboration providing the human samples and the clinical information used in this project with appropriate ethics approval. Our gratefulness to Dr. Juan Burgos for the selection of the human samples and Dr. Felix Royo for helping with statistical analysis. + Acknowledgements. We thank E. Brockmann and two anonymous reviewers for their helpful reviews. This work was supported by the Centre National de la Recherche Scientifique (CNRS-INSU), + [56] Acknowledgments. We are grateful for the advice of Deborah + The authors would like to gratefully acknowledge the contribution of E.L. Aronson + We thank Felix Kahlhoefer, Matthew McCullough, Ian Shoemaker, John March-Russell and Stephen West for discussions. MD and CM also wish to thank Michael Spannowsky for 'stimulating' discussions. We thank Gary Steigman for pointing out an error in eq. (10) in an early version of this work. + This paper is a product of the UK Natural Environment Research Council's Valuing Nature Network with additional support from the Economic and Social Research Council and UK Department for International Development. We thank all participants in the VNN project workshops for their inputs. + We wish to thank Dr. Haruhiko MORI (17) + This work was supported by NIH grant HL 69723 (S.M.S). + We thank Yoshiko Miyake, Yoko Shiozawa, Seiichi Kotoda, Yoshiharu Tsuru, Toshihiro Nagai, Koji Shimoda, and Toshio Terashima for excellent technical assistance. We are also grateful to Kazuto Yamazaki, Keiko Fukada, and Takeshi Suzuki for their comments on the manuscript. This study was supported in part by research grants from the Ministry of Education, Science and Culture, Japan, and by the Program for Promotion of Fundamental Studies in Health Science of the National Institute of Biomedical Innovation (to K. Fukuda). + We are grateful to the villagers of Dielmo for their participation and continued collaboration in this project. We thank the administrative authority of Institut Pasteur of Dakar for their continuous support. We particularly thank the field workers for their sustained contribution to the project and in generating and maintaining the malaria databases. We thank the reviewers for their comments that have greatly improved the manuscript. + We would like to thank all those colleagues who have recently collaborated with us in the realization of the µSR experiments in the IBS. In particular: Alex Amato, Pietro Bonfà, Lucia Bossoni, Sean Giblin, Rustem Khasanov, Gianrico Lamura, Hubertus Luetkens, Marcello Mazzani and Toni Shiroka. Pietro Carretta and Samuele Sanna also acknowledge the financial support from Fondazione Cariplo (research grant no. 2011-0266) for the research activity on IBS. Giacomo Prando acknowledges support from the Leibniz-Deutscher Akademischer Austauschdienst (DAAD) Post-Doc Fellowship Program + This work was supported by the Deutsche Forschungsgemeinschaft. We are indebted to Professor Dr A. Trebst for many helpful discussions. + Dr Sophie Rushton-Smith provided editorial assistance in the preparation of this manuscript, which was funded by the Association Naturalia et Biologia. Ph.Gabriel Steg has the following disclosures: + The authors thank the School of Biological Sciences and Department of Biochemistry, University of Nairobi (UoN) for providing research facilities for use in this study. + The author is grateful to Dr. Ibrahim ElAgib of King Saud University, College of Sciences, Physics & Astronomy Department, for valuable discussions. + This work was supported by NIH/NCI grant # CA125456 (SBE), and a grant from the Israel-USA Bi-national Science Foundation # 2005331 (SBE). + This work was conducted in the framework of the EU-funded BIOMAHE Marie CurieToK Project (MTKD-CT-2004-509232) and was partially supported by the Italian Ministry of University and Research (MUR). + This work is a joint work between ISAE/DMIA, ON-ERA/DTIM and UC Berkeley/EECS. G. Lasnier has been funded by the RTRA-FCS STAE Foundation. + Acknowledgments. Thanks to Will Stefanov (Department of Geology) and Jim Clark (Department of Chemistry) for valuable assistance in obtaining optical analyses and electron microprobe measurements. Thanks also to Bob Leighty and Kim Feely for sharing personal + Dipartimento di Scienze Neurologiche, Università di Bologna, Bologna, Italy. + This work was supported by the National Science Foundation grant DMS-1517085. + This study was supported by a Grant from the Korean Healthcare Technology R & D Project, Ministry of Health and Welfare, Republic of Korea (no. HI10C1740). + The editors would like to acknowledge both the significant contribution made by Pamela Walt], whose hard work, organisation and language skills made the original manuscript for this book possible, and the expert and patient assistance of Helen Green with the production of drafts of this text. Acknowledgements xi + We are grateful to Editor Juan Pedro Rodríguez-López and to two anonymous reviewers for their constructive recommendations on how to improve this manuscript. MAM is grateful to audi Aramco for their sponsorship of this research programme. Areva, BHPBilliton, ConocoPhillips, Nexen, Saudi Aramco, Shell, Tullow Oil and Woodside are thanked for their sponsorship of the wider FRG-ERG research programme at the University of Leeds, of which this study forms a part. + The authors would like to gratefully acknowledge Dr Robert Greef for valuable suggestions with the optical set up and characterisation of the samples. Thanks to the financial support from the Faculty of Engineering and the Environment at the University of Southampton and the Engineering and Physical Sciences research council (EPSRC). + The author wish to thank specialis ALFatlawy whom diagnose the study cases and Baha H ALAmiedi ,Ph.D for the help extended by him college of dentistry, university of Babyl governerate. + This work was supported by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, National Institutes of Health. We thank Pr. Mamadou Dembele, Dr Mohamed Keita, Dr Mamadou Traore, PPD study monitors, NIAID DSMB, Etsegenet Meshesha, Dick Sakai, Drissa Sow, and the volunteers in the villages for their support. We would also like to acknowledge Hong Zhou, Sam Moretz, Ababacar Diouf and Greg Tullo for the GIA work and the PATH/Malaria Vaccine Initiative for their support of the GIA Reference Center. + We thank Dr Hideki Takahashi in Michigan State University for providing sultr1;1 sultr1;2 double mutant, and Professor Pradipsinh Rathod in University of Washington for E. coli GS245(DE3)pLysS strain. We thank Phillip SanMiguel and the Purdue Agricultural Genomics Center for the short read sequencing and analysis. We thank Elena Yakubova and Brett Lahner for ICP-MS analysis, Dr Andrea Raab for use of the HPLC facility, and the Microscopy and Histology Core Facility at the University of Aberdeen for using the confocal laser-scanning microscopy. + We acknowledge funding from the National Institutes of Health (R01GM118675 and R21EB021651) and the National Science Foundation (CHE-1351933). + The present research was partly supported by National Natural Science Foundation of China (No. 31672071), and Special Funds of Central Colleges Basic Scientific Research Operating Expenses (No. 2452015096). + We wish to thank all volunteers for their participation in the study. + We thank L Chamberlain and B Martin for sharing their Acyl-RAC protocol, Y and M Fukata for the DHHC plasmids and the PEGylation protocol, P Bastiaens for the APT plasmids and Sylvia Ho for generating the shRNA ZDHHC6 construct. The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007(FP/ -2013)/ERC Grant Agreement n. 340260 -PalmERa'. This work was also supported by grants from the Swiss National Science Foundation (to GvdG and to VH), the Swiss National Centre of Competence in Research (NCCR) Chemical Biology (to GvdG) and the Swiss SystemsX.ch initiative evaluated by the Swiss National Science Foundation (LipidX) (to GvdG and to VH). TD is a recipient of an iPhD fellowship from the Swiss SystemsX.ch initiative. + The research leading to these results has in part been funded by the ESA project GHG-CCI, the DLR grant SADOS, the EU project ACCENT-Plus, and the University and the State of Bremen. Russell R. Dickerson was supported by NASA/AQAST. We thank ESA and DLR for providing the SCIAMACHY Level 1 data and the SCIA-MACHY calibration team (DLR, SRON, University of Bremen, ESA, and others) for continuously improving the quality of the spectra. We acknowledge the use of data from the U.S. Energy Information Administration and the U.S. Environmental Protection Agency. We also thank the European Centre for Medium-Range Weather Forecasts (ECMWF) for providing the meteorological reanalysis data. + The authors would like to acknowledge the Irish Cattle Breeding Federation (ICBF) for access to estimates of sire merit. + Acknowledgments: We thank Steve Berman and Edwin Asturias for their guidance. + We thank Bernhard Geiger for providing liver MR images, as well as Ali Khamene and Frank Sauer for their support. This work is funded by Siemens Corporate Research and Institute for Mathematics and its Applications (IMA) at the University of Minnesota. + This research was conducted by the financial grant provided by JSS University, Mysore. Authors sincerely acknowledge their support and encouragement. + Acknowledgements. Work of the third author is partially supported by START project Y237 of the Austrian Science Fund and by the MNZZS of Serbia 144016. + We cordially thank Dr. Gerd Neugebauer for his help in creating a subset of a bibtex data base using BibTool, as well as Dr. Ricardo A. Chávez Montes, Prof. Magnus Palmblad and Martin Fenner for comments on the manuscript. Warm thanks also go to Anubhav Kumar and Jennifer König for proofreading. + This work was supported by the Office of Energy Efficiency and Renewable Energy, US Department of Energy under grant DE-FG36-08G018006. One of us (GMK) acknowledges support under an NDSEG graduate fellowship. We also acknowledge use of facilities supported by the Center for Science and Engineering of Materials, an NSF MRSEC. + I would like to thank Mr. Emile A. Minoli for contributions in Chapters 2 and 3. The cover page shows Daniel Minoli (center front) with a slide rule next to an AM radio the student trio built based on discrete electronic components. Students Melvin Lee (left front) and Steven Lightburn (right front) part of the student trio are with Mr. Tepper (middle front), electronics teacher in a Technical Electronics Laboratory in Hight School in Brooklyn, NY in the fall of 1970. Two second-row students are unidentified. As this textbook shows, electronics and electronics density has come a long way in the past 35 years, and will continue to do so under the thrust of nanotechnology. + All sequences were performed at the Molecular Biology Unit, Institut Pasteur de Montevideo. The authors thank Natalia Rego and Horacio Botti for helpful discussion and suggestions, Hugo Naya for sharing the bioinformatic facilities of UBI Institut Pasteur Montevideo and Marissa Vignali and Peter Myler (Seattle Biomedical Research Institute; Seattle, WA USA) for helpful suggestions in library construction and sequencing. + The authors are grateful to Thomas O. Mason for numerous stimulating discussions. Initial simulations for amorphous Zn-Sn-In-O under strain were performed by Rabi Khanal. The work was performed under the collaborative MRSEC program at Northwestern University and supported by the National Science Foundation (NSF) grant DMR-1121262. Computational resources are provided by the NSF-supported XSEDE program and by Department of Energy NERSC facilities. + Acknowledgements. This work was developed under the MINECO predoctoral grants BES-2014-067894 and EEBB-I-16-11044, cofunded by the European Social Fund. The work at University of Barcelona was partly supported by the Spanish MINECO under the project AYA2013-42614-P and AYA2016-77939-P with partial support by the European Regional Development Fund (ERDF/FEDER). RGH acknowledges the financial support of the University of Alcalá under project CCG2015/EXP-055 and the Spanish MINECO under project ESP2015-68266-R. Funding of this work was also partially provided by the Spanish MINECO under the project MDM-2014-0369 of ICCUB (Unidad de Excelencia "Marıá de Maeztu"). The editor thanks R. Du Toit Strauss and an anonymous referee for their assistance in evaluating this paper. + Acknowledgments All images are by Francesco Gherardini unless otherwise noted. + Statistical analysis. A t-test (two tailed) was performed for statistical analysis if not otherwise specified. An F-test was used to determine equal or unequal variance in the t-test. *, ** and *** indicate P valueo0.05,o0.01 ando0.001, respectively. Data availability. Solid-state NMR data is available at: https://www.repository. cam.ac.uk/handle/1810/254646. The authors declare that all other relevant data supporting the findings of this study are available within the article and its Supplementary Information Files or on request from the corresponding authors. + We would like to thank members of the Hutter lab for critically reading the manuscript. + We thank J.-Y. Zimmer for his helpful comments and suggestions. Thanks also to the Wallonia-Brussels International for the Ph.D. scholarship (S. Boukraa). + The Biodiversity Data Enrichment Hackathon was supported by the EU-funded proiBiosphere project (Coordination and policy development in preparation for a European Open Biodiversity Knowledge Management System, addressing Acquisition, Curation, Synthesis, Interoperability and Dissemination, grant No 312848) and Naturalis Biodiversity Center. + This work was carried out while BC was at the California Institute of Technology, and partially when both BC and KB were visiting the Isaac Newton Institute, Cambridge, UK. It is a pleasure to thank Prof. L. C. Evans for useful discussions. We are also grateful for the support of the U.S. National Science Foundation (CMS 9457573) and the Air-Force Office of Scientific Research through a MURI grant (F49602-98-1-0433). + The program was partially supported by NASA Lewis Research Center (Grant No. NAG 3-782) and the Office of Naval Research (Contract No. NO0014-85-K-0182 P005). + We thank Serena Dudek, Kelly Carstens, and Deborah Park for critical reading of the manuscript. + We thank Dr. Nathan L. Vanderford for critical reading and editing of this manuscript. This work was supported by grants from NIH (RO1CA125454), Susan G Komen Foundation (KG081310), Mary Kay Ash Foundation (to B.P. Zhou) and pre-doctoral fellowship (BC101068) from DoD Breast Cancer Research Program (to Y. Lin). + We thank the Core Facility and Laboratory Animal Unit of the LKS Faculty of Medicine, the University of Hong Kong for technical support. We are thankful to Dr Terence Kin-Wah Lee, Dr. Stephanie Kwai-Yee Ma and Dr Judy Wai-Ping Yam for their helpful discussion on the study and comments on the manuscript. + The S.E.R.C and A.F.R.C. are gratefully acknowledged for financial support. Thanks are due to Dr. C. Roessner, Texas A & M University, TX, U.S.A., for providing the E coli hemB expression system, to Mr D. Barton and Mr. P. Skelton (Cambridge) for electro-spray mass-spectrometry determinations, and to Dr. J. Cheung, Queen Mary and Wesffield College, London, for deprotecting the 3-oxo-1-hexylamine. + We would like to acknowledge Paula Weston and Melinda Golde for their great work in processing human fetal prostate tissue sections. Also, we would like to recognize Dr. Simon Hayward for his support and guidance regarding the pathology of the human fetal tissue. + The authors acknowledge the facilities of the Department of Biotechnology, Government of India, New Delhi (DBT) under M.Sc. Biotechnology program. Facilities of DBT's Bioinformatics Sub Center are also gratefully acknowledged. + The present study was supported by the Health Bureau of Zhejiang Province (grant no. 2013KYA108) and Health and Family Planning Commission of Zhejiang Province (grant nos. 2013KYA108 and 2014KYA260). + This research was funded by the Dennis Cooper Hematology Young Investigator Award and grant P30 CA016359 from the National Cancer Institute. + This work has been carried out in the scope of INCO-DC project ERBIC18CT97016 'Development of a simple technology in drinking water treatment for nitrate and pesticide removal', financed by the European Commission. Thanks to Fred Rainey for supplying the sequence and manuscript for T. hydrothermalis in advance of their publication. + We thank Michel Desjardins for making the Phosphorimager system available to us. We also thank Sonia Broccoli for critical reading of the manuscript. This work was supported by Grants FNR 12667 from the CIHR (to M.D.) and GM54226 from NIGMS (to Y.-C.T.-D). M.D. is a chercheur-boursier senior from the FRSQ. C.H. holds a studenship award from the FRSQ. + The authors gratefully acknowledge the financial support by the Research Program of Universities of Inner Mongolia Autonomous Region (NJ10245). + The authors wish to thank Graham Mc Geoch, Chief Clinical Editor, Health Pathways, Canterbury District Health Board. + Acknowledgement. I wish to thank Professor Janusz Brzdȩk for paying my attention to the problem and for his most valuable suggestions during the preparation of this paper. + The authors would like to thank the Staglin IMHRO Center for Cognitive Neuroscience for their expert technical assistance. + ACKNOWLEDGEMENTS. We are grateful to Y. Asari, C. Tanaka, M. Noda, R. Haraguchi, M. Matsuhashi, K. Akashi, S. Satoh, N. Machida, A. Yoshioka, and I. Izumi, for their technical assistance. We thank Y. Hashimoto, H. Yanagawa, and Y. Konno for their critical comments and C. L. Bridgman for her critical reading of the manuscript. + We thank Yunde Zhao and Youfa Cheng for sharing seed and reagents prior to publication. We thank Judy Callis and John Labavitch for helpful discussions on this project. Some seed stocks were obtained from the ABRC. + Funding: This research was funded by the Agency for Healthcare Research and Quality (grant number R01HS018372). + This work is partially financed by the ERDF European Regional Development Fund through the COMPETE Programme and by National Funds through the FCT Fundação para a Ciência e a Tecnologia within project SELF-PVP (FCOMP-01-0124-FEDER-013070) + Acknowledgements. We thank the Electron Microscopy Unit, Universidade da Coruna, for the fachties. This study was partially funded by the Servicio de Medio Arnbiente Natural, + We thank Y. Fujita and Barry Gumbiner for constructs and Marc Mumby for PP2Ac antibody. This research was supported in part by NIH grants GM56362 and CA142823. + The author wish to thank E. Brod, R. Pedersen, A.F. Øgaard and T.K. Haraldsen for advice on experimental setup and obtaining waste materials. The author also wishes to thank two anonymous reviewers and the editor for useful advice and editing of the manuscript. This study was funded by CORE Organic II "IMproved Phosphorus Resource efficiency in Organic agriculture Via recycling and Enhanced biological mobilisation" (IMPROVE-P), which aims to design improved P recycling systems for organic farming. + This work was supported in part by CONACYT project 32415-E and DGAPA, UNAM project IN-110200. + The authors are grateful to the National Institutes for Health (GM094919 (EUREKA)) and the Science Foundation of Ireland (08/IN.1/B2070) for support. + The authors are grateful to Dr. Ian Macara for providing the wildtype and GAP-deficient p190RhoGAP expression vectors. We also wish to thank Christy Cloonan for excellent technical assistance, Dr. Channing Der for the Lsc construct, Geneva Arthur for preparation of the manuscript, and the members of the Burridge laboratory and Dr. Leslie Petch for thoughtful discussions. This work was supported by National Institutes of Health grant GM29860. + We acknowledge use of beamline BL17U1 at the Shanghai Synchrotron Radiation Facility (China). + This paper was supported by the research fund from Samsung Medison, Inc. + The research was carried out due to the grant of Russian Science Foundation (project #17-17-01143). + The first author's research is partially supported by grants from National Advanced Technology Research. + We are grateful to P.A. Baikov, A.G. Grozin, and O.V. Tarasov for help with checking the analytical results for the contribution (i). This research has been supported by the Russian Foundation for Basic Research, project 96-01-00654, and by the grant BMBF 057KA92P. + The authors acknowledge James Blanchard, Andrea Hunter and Rachel Spitzer for their participation; Kerri Wazny for providing technical support; and the Canadian Partnership for Women and Children's Health (CanWaCH) for their support in this collaborative effort. CanWaCH is a collaboration of more than 80 Canadian organizations that are working to improve maternal, newborn, child and adolescent health in low-and middle-income countries. + We are very grateful to Pete Alcock and John Mohan for their leadership, support and encouragement, and to Jane Parry and Rebecca Taylor for earlier collaborations on the topic of internships. We would also like to thank the anonymous reviewers for their helpful comments. + Acknowledgment: We thank Cyrus Shahpar, MPH, and Sophia Sterling, MPH, for data assistance. + Acknowledgments: This project/research has been made possible with the support of the Dutch Province of Limburg. + Acknowledgements. This study was supported by the "Scientific Exchange Programme between the New Member States of the EU and Switzerland" (Sciex-NMS, project 10.140) and by the Swiss National Science Foundation (grant 31003A_140766). The study was also funded by the National Science Centre in Kraków, Poland (grant nos. 2013/11/B/ST10/00276 and 2014/12/T/ST10/00675). The authors thank the crew of R/V Oceania for their assistance during the fieldwork. Mateusz Ostrowski is thanked for helping with the granulometric analysis. + We thank Yue Zhao, MSc, Concordia University, Montreal, Quebec, and Linda Kwakkenbos, PhD, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, for assistance with translation. They were not compensated for their contributions. No funding body had any involvement in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript. + This work was supported by the National Institute of Neurological Disorders and Stroke intramural program (MNB and NAS), the Columbia University Center for Motor Neuron Biology and Disease (NAS) and by National Institutes of Health Grant NS047357 (CAS and FJA). We thank Chris Henderson, Tom Jessell, George Mentis and Michael O'Donovan for their support and critical comments on this manuscript. We also thank Ms Jackie Sisco with her help preparing semithin histological sections of muscle spindles. + Professors Dr. Mofazzal Hossain and Dr. Mizanur Rahman, Department of Horticulture (BSMRAU), are thanked for allowing the junior author to set yellow pan traps for collecting parasitic Hymenoptera in their experimental plots. We thank J. Read (CNC) for preparing the excellent images and compiling the plates. + This work was funded by a grant from the US National Institutes of Health to DH (GM64798). the SSRL Structural Molecular Biology Program is supported by the Department of Energy, Office of Biological and Environmental Research, and by the National Institutes of Health, National Center for Research Resources, Biomedical Technology Program, and the National Institute of General Medical Sciences. We thank SSRL scientist Clyde Smith for excellent support. AP was funded in part by a National Science Foundation Graduate Research Fellowship. SR was funded by the Max-Planck Society Germany. We thank James Fraser (UCSF) and Artem Lyubimov (Stanford) for guidance and review on refinements of diffraction data and members of the Herschlag laboratory for discussions and comments on the manuscript. We thank Celerino Abad-Zapatero and Vincent Stoll for information about their published D101S AP structure. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + This work is supported by Philips Healthcare/Radiological Society of North America Research Seed Grant #RSD1104, the National Institute of Health (Director's New Innovator Award 1DP2OD007246-01 and 1R21CA152627), and Morris Animal Foundation (D09CA-083). Q.Y. was funded at UIUC from the NIH National Cancer Institute Alliance for Nanotechnology in Cancer "Midwest Cancer Nanotechnology Training Center" Grant R25 CA154015A. + This work was supported by the Medical Research Council UK (MRC; awards MC_UU_12020/5 and MC_UU_12024/2 to PJM, and award MC_UU_12024/1 to AS), a Marie Curie European Re-integration Grant (SNAP-PD) awarded by the European Union, and the Wellcome Trust (Investigator Award 101821 to PJM). FNG and EK were supported by the MRC and University of Oxford Clarendon Fund Scholarships. FV was supported by an MRC studentship. RS was in receipt of a Wellcome Trust Clinical Fellowship (WT_RS_109030/Z/15/Z). We thank T Harkany and R Faram for early insights on secretagogin, and G Hazell, B Micklem, L Norman, K Whitworth, J Janson, L Conyers and C Johnson for technical support. We also thank G. Silberberg and K. Meletis for their expert insights. + The authors would like to thank the Consumption Markets & Culture editor Jonathan Schroeder, and the three anonymous reviewers for their valuable suggestions and comments. The authors also gratefully acknowledge the candor and generosity of their informants. + We thank R. A. J. Warren for his valuable suggestions in preparing this manuscript, Linda Sandercock for assistance in preparing Strep. lividans genomic DNA, and Bradley McLean for helpful insights and discussion. This research was supported by the Protein Engineering Network of Centres of Excellence, the Natural Sciences and Research Council of Canada, and CBD Technologies Inc. + This work was supported by the Universiti Kebangsaan Malaysia, under grants Dana Lonjakan Penerbitan (UKM-DLP-2014). + Acknowledgments: The authors thank Assia Benabdallah for discussions on the subject of the present article. + We thank Jan Johansson and Kristiina Nygren for their assistance and help during field work and implementation of the experiment. We are grateful to Eddie von Wachenfeldt and Therese Carlsson for help with the collection of the water samples. We greatly appreciate help from Jan Bengtsson, Kalle Mälson, and Allan Rohde with the study site selection. We thank Helmut Hillebrand, Paul del Giorgio, Ingvar Sundh, and several members of the Microbial Ecology group at our department for fruitful discussions and constructive comments on earlier drafts of the manuscript. Constructive comments by an anonymous reviewer also greatly improved the manuscript. + We wish to express our gratitude to the Research Council of the University of Mazandaran for partial financial support of this work. + We would like to thank A2B2C, ISCB-SC and ISCB for their continuous support, at different levels, to all our initiatives. We would also like to recognize Universidad Nacional de San Martín for sharing the infrastructure needed to host the event. Finally we thank all those students that offered their time for reviewing the abstracts and all those that attended the 2SAJIB. + The fruitful collaboration with the ''What Works for Women and Girls'' project greatly improved this study and we would like to extend our gratitude to Melanie Croce-Galis and Karen Hardee for their invaluable contributions and support. Our sincere thanks to all members of the UNAIDS expert reference group for their detailed and constructive guidance throughout the project, namely Avni Amin, Michael Bartos, Louise Binder, Lori Bollinger, Briana Buehler, Lynn Collins, Nazneen Damji, Susana Fried, Berthilde Gahongayire, Claudia Garcia Moreno, Kreena Govender, Nyaradzai Gumbonzvanda, Musimbi Kanyoro, Shannon Kowalski, Renee Mckenzie, Daniella Ligiero, Rolake Odetoyinbo, Amissa Briana Bongo Ondimba, Anna Seymour, Alice Welbourn and Anandi Yuvaraj. We are also grateful to the authors of selected publications for sharing documents we were not able to access, including author manuscripts that were still under preparation or in press. + This work was funded by Instituto de Salud Carlos III ISCIII FIS/FEDER Grants PI11/02070 and PI14/00900 (to AG) and National Institutes of Health, NIH Awards R03 AR049420 (to SWS) and R01 AR052889 (to JTE). + This study was funded by Natural Science Foundation of China 81360310, 31106237, 31260276, 81271330, 31471187, 31171215 and w8110305. + The investigators are grateful to all collaborating institutions for their support. Our thanks are due to Drs. Patrick Breysse, Peter Lees and Timothy Buckley of the Johns Hopkins University School of Hygiene and Public Health for many valuable suggestions and for loaning several pumps for the monitoring activity; to the Institute for Health Systems Hyderabad, for their role in administering the household level questionnaire and to the World Bank (ESMAP) unit, who funded the study. Our special thanks are also due to Kseniya Lvovsky, Sameer Akbar and Priti Kumar of the World Bank for their technical inputs while executing the project. Finally, we are extremely grateful to the members of the households for their graciousness in allowing the use of their premises for the monitoring activities. + This work was supported in part by the Deutsche Forschungsgemeinschaft (grants SFB630 to C.K. and C.A.S. and Forschungszentrum FZ82 to C.K.) and by the National Institutes of Health (grants GM102864, AI044639 and AI070383 to P.J.T.). A.C. was supported by the Chemical Biology Training Program (NIH grant T32GM092714) and by the Medical Scientist Training Program (NIH grant T32GM008444). J.S. was supported by a grant of the German Excellence Initiative to the Graduate School of Life Sciences, University of Wuerzburg. We thank the staff at the beamline 14.1 (BESSY II) operated by the Helmholtz-Zentrum Berlin and at the ESRF beamlines ID 14-1 and ID 29 for technical support. Funding Sources: NIH grants GM102864, AI044639, AI070383, T32GM092714 and T32GM008444 Deutsche Forschungsgemeinschaft grants SFB630 and Forschungszentrum FZ82 + Acknowledgements. We thank two anonymous reviewers for thoughtful comments that improved the paper, Sarah Brosnan for encouragement and patience, and Joe Halpern, Oren Kolodny and Shimon Edelman for productive discussions. + We thank the Gentner Lab at the University of California, San Diego, for their logistical and technical support, and Molly Dickens, Scott MacDougall-Shackleton, and Luke Remage-Healey for their thoughtful discussion of this project. We also thank our four anonymous reviewers for their comments and suggestions. + The data of this study have been excerpted from the PhD thesis of the author. The authors thank Assoc Prof Abbas Yousefi Rad, Assoc Prof Ayşe Esra Karakoç and Sefer Erman Yılmaz, MD for collecting clinical specimens, Onur Candan, PhD, for comments and suggestions and Çağla Kılıç MSc, for her contribution to this study. This work was financed by Hacettepe University Scientific Research Project grant 014D01601002 and the Scientific and Technological Research Council of Turkey (TUBITAK) with PhD Scholarship (2211/C). + We thank Y. Takasu and S. Igarashi for experimental assistance. This work was supported in part by Grant for Basic Scientific Research Projects from the Sumitomo Foundation and The Kurata Memorial Hitachi Science and Technology Foundation. We thank Kao Corporation for kindly providing the LDAO. + I am grateful to the President and Council of the Association for honouring me in their invitation to deliver the John Snow Lecture for 2001, and to the Editor of Anaesthesia for arranging to publish it. + Acknowledgement. We are thankful to the anonymous AE and the two referees for their suggestions, which helped us to improve the presentation of the paper. + We would like to thank the four reviewers for their constructive and critical comments that helped to improve the quality and presentation of our work. + We thank Irma Thesleff for support and discussions, and Merja Makinen, Riikka Santalahti, Maria Sanz-Navarro, Raija Savolainen, and Nina Tiusanen for technical assistance. This work was financially supported by Swiss National Science Foundation Sinergia grant CRSI33_125459, the Academy of Finland, Sigrid Jus elius Foundation, Jane and Aatos Erkko Foundation, the Ella and Georg Ehrnrooth Foundation, and RO1 DC013072 and RO3 DC007349. + The authors declare no conflict of interest. + Authors thank all the participants for agreeing to take part in the study, and Marion Bonnard, Camélia Boukhris, Florence Brisson, Elsa Brune, Lucien Coudrin, Anne-Sophie Courtois, Delphine De Guibert, Sébastien Douabin, Marc Fedele, Gwenaëlle Felard, Fanny Gohars, Samantha Guimaron, Morgane Hamouric, Aurore Lamberet, Laurence Lebas, Raphaël Leroux, Sébastien Le Texier, Andre Madrid, Edmond Oriol, Louise Perrier, Ouriel Rosenblum, Hélène Spriet, Philippe Taillet, Xavier Taillet for assessing the videos. + This research received no specific grant from any funding agency, commercial or not-for-profit sectors. M. R.-C. was in charge of the interpretation of the articles reviewed and manuscript design and editing. E. S.-C. and C. M.-P. had responsibility for research information and manuscript writing. All authors contributed to discuss and had input writing the article. All authors contributed equally to the literature search, analysis of the data published, manuscript writing and revisions of the article. All authors approved the final version of the manuscript. The authors declare that there are no conflicts of interest. + WH would like to acknowledge the National Natural Science Foundation of China (No. 21171088) for financial aid. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: RZ2684). + This work was supported by the Institute for Basic Science (IBS) [IBS-R004-A2-2017-a00]. + We would like to thank Cornelius Peter for his help with molecular lab work and Joumin Rangkasan who assisted with fieldwork. This project was carried out by CCP and PSH as part of their undergraduate honours degree dissertation. We thank Rudiger Bieler, Siong Kiat Tan and an anonymous reviewer for their constructive comments. + We are grateful to the staff of the Department of Cardiovascular Medicine at Juntendo University, Department of Cardiology at Tokyo Women's Medical University and Department of Cardiology at Teikyo University School of Medicine. + The authors thank John Harris at Public Health England for providing data on reported outbreaks of infectious intestinal disease + The authors thank Brita G Bruun for critically reading the manuscript + This study was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), and Conselho Nacional de Desenvolvimento Cientíco e Tecnologico (CNPq). + We thank: the originators of all three input datasets as well as the supporters of the remote sensing systems that are used to build such datasets; the students of INTR 204 at William and Mary for testing these methods; Dan Freiss of the mangrove lab in Singapore and the Moore Foundation for reviewing drafts of this paper; and the referees and editors at GEB for help with editing the paper. + We would like to thank Kuan Liu, Sales Engineer from Majorbio, Shanghai, for the technology guidance. + The authors thank Assistant Professor Efthimia Petinaki (Department of Microbiology, School of Medicine, University of Thessaly, Greece) for bla vim Kp isolate detection in 2005. The authors are grateful to Professor Alkiviadis Vatopoulos, Dr Panagiota Giakkoupi and Dr Kyriaki Tryfinopoulou (Department of Microbiology, National School of Public Health, Athens, Greece; Central Public Health Laboratory, Vari, Greece) for their constant assistance in epidemiological surveillance of CR-Kp over the last decade. The study was supported by funding from the Department of Microbiology, School of Medicine, University of Patras, Greece. The authors have no conflicts of interest to declare. The study was approved by the Ethical Committee of University Hospital of Patras (no. 18208/18-9-2013). + This research has been supported by the President's Emergency Plan for AIDS Relief (PEP-FAR) through the Centers for Disease Control and Prevention. This information is distributed solely for the purpose of predissemination peer review under applicable information quality guidelines. It has not been formally disseminated by the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Atlanta, Georgia, USA. Instituto Nacional de Saúde (INS), Maputo Central Hospital, Ministry of Health Fundação Ariel Glaser contra o SIDA Pediátrico (Ariel). The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US Centers for Disease Control and Prevention. Use of trade names is for identification purposes only and does not constitute endorsement by the U.S. Centers for Disease Control. + The collaborations from Qiming Jin, Jim Sugai, Hector Rios, Reinhard Gruber, Yang-jo Seol, Gaia Pellegrini, and Darnell Kaigler are greatly appreciated. Dr Giannobile's work was supported in part by NIH/NIDCR DE 13397. + Acknowledgment. The authors are most grateful to Professor K. Ogasawara of the Pharmaceutical Institute, Tohoku University, for his useful advice during this study. + We thank the National Genotyping Center at Academia Sinica, Taipei, Taiwan, for their genotyping service. + The EPIC study was funded by "Europe Against Cancer" Programme of the European Commission (SANCO); Ligue contre le Cancer (France); Société 3M (France); Mutuelle Générale de l'Education Nationale + We thank Prof. Rongxiang Fang's group from the Institute of Microbiology, Chinese Academy of Sciences for providing the cDNA library of small brown planthopper for yeast two-hybrid screening. We also thank Prof. Gerald Reeck from Kansas State University for comments and language suggestions. This work was supported by grants from the Strategic Priority + We are grateful to R. Rosenfeld for useful discussions. This research was supported in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (AAN), Coordenadoria de Aperfeiçoamento de Pessoal de Ensino Superior (CAPES) (AM), Fundação de Amparoà Pesquisa do Estado de São Paulo (FAPESP) (AAN), and by Programa de Apoio a Núcleos de Excelência (PRONEX). + We are grateful to M Peter, G Schlenstedt, J Woolford, K Karbstein, and M Seedorf for generously sharing strains and antibodies, and N Schäuble, M Hondele and K Weis for help with ATPase assays. We thank all members of the Panse laboratory, in particular J Thorner UC Berkeley, for enthusiastic discussions, J Petkowski for structure-guided analysis, M Altvater for microscopy, and the Institute of Medical Microbiology UZH for continued support. V G Panse is supported by grants from the Swiss National Science Foundation, NCCR in RNA and Disease, ETH Zurich, Novartis Foundation, Olga Mayenfisch Stiftung and a Starting Grant Award (EURIBIO260676) from the European Research Council. + The paper is based on the Basic Research Project of the Korea Institute of Geoscience and Mineral Resources (KIGAM) funded by the Ministry of Knowledge Economy of Korea. + The authors have obtained financial support from the Volkswagenstiftung (Germany) within the program "Nachwuchsgruppen an Universitäten". The simulations were performed at the Paderborn Center for Parallel Computing in Germany and on a workstation cluster at the Institut für Theoretische Physik, Universität Göttingen, Germany. We thank M. Jungsbluth for helpful remarks. + We thank Harry C. Dietz for providing CAGA 12 + This work has been carried out with the support of Rolls-Royce plc, DERA, MoD and DTI. The authors would also like to thank Professor T.V. Jones and Dr C.R.B. Day for their help and guidance, and Mr K. Walton and Mr T. Godfrey for their practical assistance. + I thank numerous colleagues and collaborators whose intellectual and technical contributions continue to be instrumental to this investigation. + We would like to thank all researchers and institutions which provided samples for this study (all are listed in Table S1 ). We thank to P. Matějů for help in laboratory. + The paper was supported by the research grant of Chungbuk National University in 2012. + This paper was written using data made available by the Cystic Fibrosis Trust as submitted to the Port CF database by all UK CF Centres between 2007-2012. + We thank Laura Brown, Sam Demas, Sharon Farb, Kevin Guthrie, Charles Henry, Lisa Hinchliffe, Ross Housewright, Anne Kenney, Robert Kieft, Marita LaMonica, William Mayer, and Jennifer Rutner for helpful suggestions in developing the questionnaire and/or framing our findings. Final responsibility remains ours alone. + We acknowledge the studies conducted by Yoshimura et al. (2014) , Elkon et al. (2015) and Waldhaus et al. (2015) for providing open access to mouse gene expression data. JAL-E has received funding from Meniere Society, UK and the Luxembourg National Research Fund (INTER/Mobility/17/11772209). + This work was financially supported in part by the Schweizerische Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) and by the Japan Society for the Promotion of Science (JSPS) through Grants-in-Aid for Scientific Research (Grant No. 16K06712). + The authors are thankful to the Vice Chancellor, OUAT, Bhubaneswar, Odisha, India, for providing the necessary facilities to carry out this work. + [53] Acknowledgments. Financial support for the data collection of this research was provided by the World Bank and the Water and Sanitation Program. We are grateful to Clarissa Brocklehurst for comments on the data collection, analysis, and interpretation and to Govind Subedi, Yogendra Gurung, Keshab Adhikari, Dhanendra Shakya, Laxman Kunwar, and Bal Krishna Mabuhang for help with the survey. Thanks are also due to Jon Strand, three anonymous reviewers, and the Associate Editor for their helpful comments and suggestions. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the World Bank or the Water and Sanitation Program. The authors alone remain responsible for any errors in the paper. + The authors thank the Ibn Sina Hospital physicians for their assistance in collecting and compiling the data for this study, and Gae O Decker-Garrad for editorial assistance and preparation of the manuscript. + The authors are very thankful to Mrs. Anjuman Ara Begum, Lecturer, Department of Pharmacy, Jahangirnagar University, Savar, for this expert planning, sincere direction, supervision, invaluable advices and continuous follow up from the very beginning of this work. + The authors wish to acknowledge the support of NASA under NRA-NAS2-37143 on "Research in Intelligent Systems." + This study was supported by the Al-Quds University and the Belgium government. The authors thank the Palestinian Central Bureau of Statistics for providing the sampling frame and the Greek State Scholarship Foundation for their support to the second author C. Jildeh in her PhD study. H. Al Sabbah is postdoctoral researcher funded by the Fulbright Scholarship, Tufts University, Boston, USA. + I would like to acknowledge the linguistic revision by Eugenia Lamont, Medical University of Graz. + We would like to thank the National Natural Science Foundation of China (21273081, 21673085) and Natural Funds of Guangdong Province (grant no. 2015A030311050) for providing the finance support for this project. + The authors thank the Principal of Amrita Sai Institute of Science and Technology, Paritala, Chanchikacharla and the head of the department of Civil Engineering, for their kind support during the experimental investigation. The authors express their profound thanks to Dr. Sasidhar, Professor, Amrita Sai Institute of Science and Technology for his critical reading and suggestions. + US and BT would like to acknowledge financial support by the German Research Council (DFG) within the CRC701. + The authors acknowledge the expertise of K. Molin and Professor Enevold Falsen (CCUG) for their technical and scientific assistance. + The authors wish to express their indebtedness to all laboratory staff who sacrificed their time and effort to comply with the special requirements, and spent significant time on performing these tests without complaint in order to achieve the highest possible quality in this trial. Furthermore, we would also like to acknowledge all center principal investigators and personnel who contributed their time and effort to this study. This work was supported by Boehringer Ingelheim Pharmaceuticals, Inc. (BIPI) and Pfizer Inc. Writing, editorial support, and formatting assistance was provided by Jane M. Gilbert, BSc, CMPP, of Envision Scientific Solutions, which was contracted, and compensated by BIPI and Pfizer Inc for these services. + To Dr Moacir Paranhos Silva (Institute of Heath Sciences, UFBA), for his technical assistance on splenic punctures. + We gratefully acknowledge financing by the International Fund for Agricultural Development, Rome, aid agencies of Switzerland (DCA), West Germany (GTZ), Austria, Canada (IDRC), Denmark, the Netherlands and Italy, as well as FAO, Rome, and thank S. KorangAmoakoh, J. M. A. Anga and K. Kouame for their help in the field and E. V. Doku for information. We thank our colleagues at IITA for reviewing the manuscript. + The author is grateful to the referee and Professor H. P. Dikshit for some helpful suggestions. + We thank members of the Schwab lab for valuable discussions; K. Cadwell (New York University School of Medicine) for Salmonella enterica Typhimurium; K. Manova, S. Fujisawa, and Y. Romin (Memorial Sloan Kettering Cancer Center Molecular Cytology Core Facility) for assistance with microscopy and image analysis; and B. Breart (Institut Pasteur, Paris, France) and J. Cyster (University of California, San Francisco) for critical reading of the manuscript. This work was funded by NIH R01 AI085166 to S.R.S.; NIH T32 AI100853 to V.F. and A.M.; and NIH R01 NIH DA019674 and NS084398 to J.C. + We thank F.P.D. Cotterill, T. van der Niet and J.W. Kadereit for comments on drafts of the paper; D. Franke for assistance with graphics; J. Fagúndez, A. Hitchcock, R. Turner, M. Muasya, C. Stirton, R. Clark, B. Bytebier, M. Pimentel, F. Ojeda, C. Merry, and many others for providing samples; and Cape Nature and South Africa National Parks for assistance with permits. The authors gratefully acknowledge the computing time granted on the supercomputer Mogon at Johannes Gutenberg University Mainz (https://hpc.uni-mainz.de/). + Acknowledgments We are grateful to Dr. Ivo Lieberam for providing us with the GFAP::CD14 cell line and for reading the manuscript, and to Dr. Kevin Eggan for the HB9::GFP cell lines. + We thank the participants for their time and personal information. + We are thankful to the Albertina Sisulu Executive Leadership Programme in Health, University of Pretoria for their contribution towards the publication of this paper. Also, we are most grateful for the African Doctoral Dissertation Research Fellowship Award (ADDRF Award 2015-2017 ADF 002) provided by the African Population and Health Research Centre in partnership with the International Development Research Centre that helped make the wider PhD study from which this paper was drawn possible. Our heartfelt thanks also goes to the Ministry of Health and the Health Services Board of the Republic of Zimbabwe, the Zimbabwe Association of Church Hospitals, Epworth Local Board, and the Epworth community in Zimbabwe. + The authors, not the supporting groups listed earlier, had complete responsibility for the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, and approval of the manuscript. + We thank Krishna Palaniappan, Ernest Szeto, Yuri Grechkin, Iain Anderson, and Athanasios Lykidis, for their contribution to the development and maintenance of IMG ER. + The author is indebted to Léo Ducas, whose initial ideas and suggestions on this topic motivated work on this paper. The author further thanks Vadim Lyubashevsky and Oded Regev for their comments on the relevance of a subexponential time CVPP algorithm requiring (super)exponential space. The author is supported by the SNSF ERC Transfer Grant CRETP2-166734 FELICITY. + We wish to thank the elderly people who participated in this study, the staff in the day-service centers who cooperated, colleagues in the laboratory who advised us, and the families who supported us. The research in this article did not generate any raw data. + This study was supported by research funds from the Dong-A University. + We thank Catherine Szente MD, paediatrician (Dreilandpraxis, Basel, Switzerland) for performing the clinical review. + The authors thank the CDC Emergency Operations Center for providing us the data as well as the FBI for providing us the data and for helpful comments and suggestions on the manuscript. + The study is funded by the National Institute of Health Research Public Health Research Programme. The authors would like to thank Aileen Ireland, Research Secretary, for her help in preparing the manuscript. + This research was supported in part by the Florida Department of Health James and Esther King Biomedical Research Program (07KB-07) and the National Institute of Neurological Diseases and Stroke (RO1NS52839 to AEW). + The We are very thankful to Almighty Allah; whose grace and blessed mercy enabled us to complete this work with full devotion and legitimacy. We are grateful to Mr. Fakhruddin and Mr. Nasir Rashid (Department of Computer Science and IT, University of Malakand) for their invaluable support and guidance throughout this research work. We also want to thank our friends and family for their encouragement; without whose support we could not have lived through this dream of ours. + This work was supported by a grant from State Forestry Administration, P.R. China (010-413255). + Our thanks to Lubomír Masner for discussion, insight, and inspration; to A. + [16] Acknowledgments. I thank Benno Blumenthal for the IRI Data Library, and Suzana Camargo, Tony Barnston, Alessandra Giannini, Vincent Moron, Ousmane Ndiaye and Sylwia Trzaska for their comments and suggestions. IRI is supported by its sponsors and NOAA Office of Global Programs grant NA07GP0213. + We thank Dr. Christoph Kolling for obtaining synovial tissue for our research project (approved by the local ethical committee). We thank Maria Comazzi, Peter Künzler and Ferenc Pataky for excellent technical assistance. We thank Prof. Dr. Beat A. Michel for his support. + This work is supported by National Cancer Institute grant R01CA136933 to D.C. + This study was supported by the Doctoral Scientific Research Foundation of Henan University of Science and Technology, China (grant no. 09001677). + This work was supported by the Project 61201153 supported by National Natural Science Foundation of China, the Research Project of CCF-Qimingxingchen Hongyan (CCFVenustechRP2016004), and the National 973 Program of China under Grant 2012CB315805. + The author would like to express his deepest gratitude to Dr. Andrzej Jankowski for the close cooperation of the development the IGrC approach. + This work was supported by CONACyT (grant 83049). Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: GG2086). + A.E.R. and D.M.F. acknowledge support from NIH grant R24GM115277. Author Contributions: All authors wrote and revised this review with A.K.D collating the final version and submission. + We thank the two referees, Matthew Jackson, and Albin Erlanson for their helpful suggestions. S. + We thank Y Hirata (RIKEN) and H Kondo (RIKEN) for their experimental supports in proteome analysis, and K Honda (RIKEN) for preparing allantopyrone A beads. We are grateful to Emeritus Professor Don R Phillips of La Trobe University for critical reading of this manuscript. This work was supported by UGAS, Iwate University Student Research Grant Project and Grant-in-Aid for JSPS Fellows. + Acknowledgements Open access funding provided by University of Graz. Philipp Berghofer is a recipient of a DOC Fellowship of the Austrian Academy of Sciences at the Department for Philosophy at the University of Graz. I wish to thank Sonja Rinofner-Kreidl, George Heffernan, Elijah Chudnoff, and Walter Hopp for many enlightening discussions. Also, many thanks to Harald Wiltsche, Michi Wallner, Marian David, and an anonymous referee for many important clarifications. + Acknowledgments: We wish to acknowledge the tremendous contributions of many individuals who made this study possible. Our Uganda Virus Research Institute field team consisted of Simon Wakaalo, David Drajole Andabati, Jackson Olweny, the late Wilfred Cwinyaai, and Nicholos Owor (in addition to authors N.B., G.A.M., and L.A.A.). Key field assistance was also provided by Ali Sebbi, Environmental Health Officer for Nebbi District, Santos Angualia, Assistant Environmental Health Officer for Vurra Subcounty, and Appolo Midra, Assistant Environmental Health Officer for Logiri Subcounty. We wish to especially recognize the lifetime contributions of author Asaph Ogen-Odoi, who died in December 2006 while conducting field work to control the large plague outbreak mentioned in this paper that immediately followed this study. His contributions to this study and to the understanding and control of plague in Uganda can never be overestimated. + The authors thank OMiC Co. (Chengdu, China) for assistance with the bioinformatics analysis. This study was supported by the National Natural Sciences Foundation of China (nos. 81130062, 81173236, and 30973743). + This work was supported in part by the European Commission under Grant Agreement No. PITN-GA-2012-317488-CONTEST, EPSRC Engineering Fellowship for Growth -PRINTSKIN (EP/M002527/1), and EPSRC First Grant (EP/M002519/1). The authors are thankful to the support received for this work from James Watt Nanofabrication Centre (JWNC) and Electronics Systems Design Centre (ESDC) in the University of Glasgow. + We would like to express deep sense of gratitude to our guide Prof. R.D.Komati for providing us with an opportunity to carry out the project on Smart Helmet Safety System and for her help whenever required. + This project is supported by Carnegie Mellon University's Mobility21 National University Transportation Center, which is sponsored by the US Department of Transportation. We would also like to thank Adam Harley, Leonid Keselman and Rui Zhu for their helpful comments and suggestions. + The authors gratefully acknowledge the contribution of Carolyn Pelham and Kevin Adrian for their outstanding care and oversight of mice for the duration of this diet study. The research described herein was generously supported by funds provided by the Barnum Foundation and Zell Family Foundation at Northwestern University, the Nathan and Isabel Miller Family Foundation, the IDP Foundation, NIH R21 CA123041-01 (PJG), and NIH R01 CA161283-01 (PJG). + This work was financially supported by National Natural Sciences Foundation of China (81372446), National S & T Major Project (2011ZX09102-001-10 and 2015ZX09102010). + Joint Acknowledgment/Disclosure Statement: This work was supported by a grant from the Commonwealth Fund, New York, NY. We acknowledge the contributions of the anonymous reviewers for numerous helpful suggestions. None of the authors reported a conflict of interest with respect to this project. Disclosures: Health Research & Educational Trust is the publisher of HSR. Disclaimers: None. + We thank Achim Stephan, Andrea Wittmann, Norman Mack and David Westermann for generous support with the whole-genome sequencing, the FISH and the preparation of the tumor sections. Ivo Buchhalter is gratefully acknowledged for support with the analysis of the whole-genome sequencing data. We thank Till Milde for the patient-derived xenograft model. + Terminology was used according to the recommendations by the European consortium "Systematic Evaluation of the ground based (micro-) gravity simulation paradigms available in Europe" (ESA contract 4200022650) [52] . We gratefully acknowledge financial support by DLR (grant no. 50WB0912), the Italian Space Agency, Rome , (grant MoMa/ERMEIS) and the Fondazione Banco di Sardegna, Sassari (grant 968/2010.0373). We also gratefully acknowledge the support of (in alphabetic order) Miriam Christen, Karl-Heinrich Grote, Sonja Krammer, Liliana Layer, Jutta Müller, Marianne Ott, Irina Rau and Monika Sebele. We are indebted to Partec GmbH (Münster, Germany) for providing the CyFlow SL for on-site analysis at ESRANGE Space Port and their excellent support. We thank PromoCell (Heidelberg, Germany) for the excellent collaboration in this project and for their individual service and custom production of material. We gratefully acknowledge the support of the European Space Agency, especially Rene Demets and Antonio Verga, of the Swedish Space Cooperation, especially Per Holm, Franz Gronmayer, Matthias Abrahamsson and Gunnar Florin, the Center for Concepts in Mechatronics (CCM), especially Edwin Langerak, and Dutch Space, especially Guus Borst. We thank Ms. Naomi Shepherd for editing the manuscript. + This work is dedicated to the memory of Dr Joaquin Mateu (Barcelona, 9/1/1921-18/1/2015, who really discovered and first studied C. aliai. The authors are grateful to Dr Thierry Deuve (Muséum National d'Histoire Naturelle, Paris) for some important advices. A particular thank is also due to Mr Jaroslav Kaláb (Kuřim, Czechia>) and to Dr Massimo Meregalli (Department of Animal and Human Biology, University of Turin, Italy) for information on habitats and photos, and to Prof. Ronald Hedrick (School of Veterinary Medicine, University of California, Davis, CA, USA) for his assistance in editing the English text of the manuscript. Re-establishment of Carabus (Cathoplius) aliai Escalera, 1944... + Stanford University. + The study was supported by National Forest Funds, transferred to the Tatra National Park in 2016. + This project is partially supported by the Natural Science Foundation of China (41376095, 41350110226), Scientific Research Foundation for the Returned Overseas Chinese Scholars (20101174), and Zhejiang University Ocean Sciences Seed Grant (2012HY012B). The authors wish to thank Weiming Wu for his help and discussions on sediment transport modeling over the years. + We thank the respective health bureaus in Ethiopia and Tanzania for their support during the study. We also thank members of the study teams in Tanzania (Celine Mandara, Johari Sadi, Rashid Madebe, August Nyaki, Hatibu Athumani, Thomas Semdoe and Seth Nguhu) and Ethiopia (Diriba Dabushe, Tsehay Orlando, Tewabech Lemma and Arega Tsegaye), health facility staff and all study participants in the respective countries for voluntarily taking part in this study. The master students, Maria Tusell Rabassa, Sabri Kardi, Marwa Mani and Hadeel Ali are dully acknowledged for conducting molecular analysis of pfmdr-1 and pfubp-1 variation. Seed funding for the study sites in Ethiopia was obtained from Medical Research Council UK-G0600718. The molecular studies on all samples were supported by a Swedish Research Link Grant. + The authors are deeply grateful to the referee for careful reading and many useful suggestions. We would like to thank Prof. Kamran Divaani-Aazar for useful discussions, and also the Azarbaijan Shahid Madani University, for the financial support. + This research was conducted while Kouji Urushihara was visiting SUNY-Binghamton as a research fellow of the Japan Society for the Promotion of Science at Osaka Kyoiku University. The work was supported by NIMH Grant 33881 to Ralph R. Miller, by Grant-in-Aid for JSPS Fellows to Kouji Urushihara, and by Grant-in-Aid for Special Purpose from Ministry of Education, Culture, Sports, Science, and Technology of Japan to Kouji Urushihara (19539004). The authors would like to thank Eric Curtis, Sean Gannon, Ryan Green, Mario Laborda, Bridget McConnell, Lisa Ng, Heather Sissons, Gonzalo P. Urcelay, and James Witnauer for their comments on an earlier version of this manuscript. We also thank Danielle Beaumont and Wan Yui See for their assistance in running the experiments. + This work was supported by a Grant-in-Aid for Innovative Collaborative Research Projects and a Special Research Grant-in-Aid for the Development of Characteristic Education from Showa University. Funding was also provided by JSPS KAKENHI (Grant nos. 16591815, 17591895, 18591989, and 20592128). + We sincerely thank Martin Könemann for providing us the organic dye. We are grateful of Marc A. Verschuuren for the fabrication of the samples. + This work was supported by the National Science Foundation of China (21373028), National Key Program for Basic Research of China (2015CB251100), Major achievements Transformation Project for Central University in Beijing and Beijing Science and Technology Project. + The authors would like to thank William T. Starmer, Department of Biology, Syracuse University, for his guidance and thoughtful suggestions during the course of this work and for his critical review of this manuscript. We also want to express our appreciation to Barry Goldman, Monsanto Corp., for his insights regarding the possible data bias and into the lifestyle of many of the 906 bacteria included in this study and his time spent reading the drafts. We would also like to thank Laura Welch for her editorial comments. + The authors are indebted to anonymous referees who helped us to improve this text. The first author is thankful to Ministry of Education, Sciences and Technological Development of Serbia. + I would like to thank Bill Lenhart who provided the inspiration for Theorem 3. I would also like to thank David Avis, Herbert Edelsbrunner, and Meier Katchalski, who helped in various aspects of writing this paper. Finally, I would like to thank the referees for helping to simplify the proofs in this paper. + The authors wish the thank Dr. Emmanuel Srofenyoh, Dr. Adeyemi Olufolabi, and Dr. Margaret Sedensky for their input in the development of Kybele's partnership model and its expansion both within and across boundaries. + We thank Dr. Marc de Meyer, curator of the Entomological Collection of the Royal Museum of Central Africa, Tervuren, Belgium for his kind permission to access material deposited in this collection. To Dr. Wilfrida Decraemer, Dr. Yves Samyn, Dr. Marie-Lucie Susini and Dr. Alain Drumont for their assistance during the visit of the senior author to the Royal Belgian Institute of Natural Sciences (RBINS), Brussels. To Julien Cillis (RBINS) for technical help with SEM. To MSc. Yamir Arias, MSc. Eduardo Furrazola and Lic. Susett González (Instituto de Ecología y Sistemática) for their help with the micrographs. To Dr. Pedro Reyes-Castillo (Instituto de Ecología, Veracruz, México) and Dr. Stéphane Boucher (Museum of Natural History, Paris, France) for the identification of the hosts. We are indebted to Dr. Pedro Herrera (Instituto de Ecología y Sistemática) for his review of the English language. The visit to collections in Belgium to access the material and SEM techniques was supported by the Belgian Development Cooperation through the Belgian Focal Point of the Global Taxonomy Initiative (GTI), 2010 and 2012 calls. Open access to this paper was supported by the Encyclopedia of Life (EOL) Open Access Support Project (EOASP). + This book is the result of 2 years of intensive of work by many individuals and many organizations. Acknowledgment is made to all who have participated in the process. In particular, thanks are due to all the members of the Gender Working Group (see Appendix A) for their expertise and commitment. Special thanks are extended to Shirley Malcolm, Farkhonda Hassan, Sonia Correa, and Marilyn Carr for serving as the informal editorial board for this publication, and to the contributors, who were willing to set aside other intentions and divert their efforts to the work of the UN Commission on Science and Technology for Development. The work was made possible through generous financial contributions from the Netherlands Ministry of Foreign Affairs, the International Development Research Centre (Canada), the United States Agency for International Development, the Swedish Agency for Research Cooperation with Developing Countries, the United Nations Development Fund for Women (UNIFEM), the Carnegie Corporation of New York (USA), the World Women's Veterinary Association, and Mr William Hewlett. In addition, the following organizations made substantial nonfinancial contributions in time, and their substantive assistance is deeply appreciated: the Gender, Science, and Development Programme of the International Federation of Institutes for Advanced Study, the Board on Science and Technology for International Development (US National Academy of Sciences), and the Third World Organization of Women in Science. Thanks are due also to the Government of the Netherlands, the Government of Costa Rica, and the Inter-American Institute for Cooperation on Agriculture for hosting the meetings of the Working Group. The review of the United Nations system was carried out by UNIFEM, which responded positively and enthusiastically to the Commission's request that it act as the "lead agency" in this review. UNIFEM's contribution, both in conducting the review and in helping to host and organize the initial meeting of the Gender Working Group, is deeply appreciated. Finally, I would like to acknowledge the work of the Secretariat in facilitating all the activities of the Gender Working Group. In particular, I thank Elizabeth McGregor, the Director of Studies, for her professional contribution and personal support and enthusiasm throughout the 2-year process. + We thank the Vanguard Project participants and study team members Mary Lou Miller and Arn Schilder. We also thank Bonnie Devlin and Marcus Greatheart for administrative support. Drs. Lampinen and Hogg are supported by the Michael Smith Foundation for Health Research. + We would like to thanks the mothers and the children that participated in these surveys, Paul Chipeta and the other ACTia field staff. We are grateful to Professor Alan Fenwick, Imperial College London, for the purchase and donation of funds for the SEA-ELISA kits. Special thanks go to Professor Anthony Butterworth and Dr. Liz Corbett for their hospitality and local assistance in Blantyre. We are also grateful for the comments of Dr. Lester Chitsulo and Dr. Amaya Bustinduy which improved our manuscript, as well as the suggestions from the referees. The study was funded in part from the Wellcome Trust and LSTM Research Development Funding. + We thank Dr. Markus Müschen for providing of CML Jurl-MK1 cells, Dr. Shi-Qi Wu and Mr. Michael Lu for providing assistance in fluorescence microscopy analysis of GFP expression, and Mr. Jonathan Harbert for the technical support in HE staining and CD45 immunohistochemistry detection. This work was supported by grants from the National Institutes of Health (R01 CA120512 and ARRA-R01CA120512) and Winzer Fund from Department of Pathology (CHLA/USC) to L.W. + This chapter was written in connection with scientific project VEGA no. 1/0892/13. Financial support from this Ministry of Education's scheme is also gratefully acknowledged. + This work was supported by the Office of Basic Energy Sciences, Department of Chemical Sciences, US Department of Energy, under contract W-31-109-ENG-38. We would like to thank Dr M. Bowman for helpful discussion during the course of this work. + The authors would like to thank King Abdulaziz City for Science and Technology and King Saud University for their support of this work and allowing them to use their equipment and laboratories. + Funding to support this study and the preparation of this manuscript was provided by Auxilium Pharmaceuticals. An Auxilium employee co-authored this paper and was involved in the study design, analysis and interpretation of data, writing of the report, and final approval to submit. The authors thank Lynanne McGuire, PhD, of MedVal Scientific Information Services, LLC, for providing medical writing and editorial assistance. This manuscript was prepared according to the International Society for Medical Publication Professionals' "Good publication practice for communicating companysponsored medical research: the GPP2 Guidelines." Research funding: Auxilium, GlaxoSmithKline. Advisor/ consultant: Abbott, Auxilium, Endo. All authors contributed equally and were involved in study design, data acquisition, or data analysis/interpretation and in drafting and/or critically revising the manuscript. All authors reviewed the final manuscript and gave approval for submission. + Akcnowledgement This work arises from a question addressed by A. Teta and has largely profited from useful discussions with F. Nier and C.A. Pillet . The author is also indebted to S. Naboko and H. Neidhardt for their important remarks. + We are grateful to Dr Takao Shimizu of Tokyo University for encouraging our study and Ms Mutsumi Takano for technical assistance. This work was funded by Grants-in-Aid for scientific research from the Japan Society for the Promotion of Science (21390016, 23112503, and 23659029 to F.O. and 22791267 to M.K.). This work was also supported by Global COE Program from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (to M.K.), by the joint research program of the Institute for Molecular and Cellular Regulation, Gunma University (10004) (to F.O. and T.K.), and by 2010 Japan-Korean joint research project. + The authors are grateful to ICAR New Delhi for providing financial assistance. We also acknowledge the Forest, Wild life and Police Departments of Govt. of Jammu and Kashmir for their valuable support during field study. Special thanks are due to Dr. Paul H Williams, Research Entomologist, BMNH London for confirmation of species identification. + To the National Center of Coffee Researches (CENICAFE, Colombia) for supplying the data on infestation of the coffee berry borer. The second and third authors were partially supported by CNPq. + We are thankful for the staff at the NOAA Aircraft Operations Center and the WP-3D flight crew for help in instrumenting the aircraft and for conducting the flights. + This work was supported by the Foundation of Henan Polytechnic University for Doctor Teachers, and the authors thank Ms Q. F. Wang for her support with the single-crystal Xray diffraction data collection. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: PV2174). + The author is grateful for the financial support and the facilities provided by the King Fahd University of Petroleum and Minerals. + The authors acknowledged the cooperation of Pakistan Council for Scientific & Industrial Research (PCSIR), Lahore-Pakistan to provide its facilities. We are thankful to Ms. Farzana Bashir and Mr. Rauf Ahmed for the help during sample analysis. + The authors thank Lise Hald Schultz and Herdis Berg Johansen for excellent technical assistance. This work was supported by Nyckelfonden at Örebro University Hospital, Sweden. + We thank Jacqueline Le Grand for providing help during field sampling, and Roger Kerouel and Philippe Cann for chemical analyses. We are grateful to the referees and to the editor for their very useful comments. + Funding Acknowledgement: This work was funded by R00AG035002, 5R01DK080792, R00HL098459, and 1R01AG031890. The Nurses' Health study is supported by CA87969, DK58845, and DK58785 from the NIDDK and NICHD of the National Institutes of Health (NIH). + We are very grateful to all participants in the study. We also wish to thank the project team members Maria Cortes, António Carlos da Silva, Maria do Rosário Horta, Mário Carreira, Violeta Alarcão, Fernanda Silva, Miguel Lemos and Claúdia Maurício. The authors wish to acknowledge the valuable feedback and reviews provided by Prof. Gilles Dussault. This work was supported by Fundação para a Ciência e a Tecnologia [IME/SAUESA/81760/ 2006]. + This research was supported by a grant from the Experimental Psychology Society and by a European Research Council grant (ERC-2013-StG-336050) under the FP7, both to M.R.L. + We thank Nancy Lea Eik-Nes for revision of the paper. + We thank all our military collaborators from the Peruvian Navy who played an important role by collecting the data for the analysis. We are indebted to them for their commitment to this project and involvement representing the Peruvian Navy Health Directorate. We thank Heather Tatum, Leilani Thomas, and Peter Browning for excellent specimen management of serum samples at the Centers for Disease Control and Prevention. + This work was supported by funding from the National Institutes of Health grant [CA142642-02 2010-2015 to PPC, DKB, APK; 2T32CA009594 to BB]. We thank Douglas K. Bishop for helpful conversations. + Sijin Wen acknowledges the support from the National Institute of General Medical Sciences Grant U54GM104942. + We wish to thank Yiji Xia for providing xlg2 and xlg3 mutants. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + The authors would like to thank APEC Climate Center, Busan, for providing the necessary facilities to pursue this study. The work was done during the YSSP program by the first author under the supervision of second author at APEC Climate Center, Busan. The station datasets provided by the Sri Lanka Meteorological Department and Mahaweli Authority of Sri Lanka are duly acknowledged. This research was also supported by a Grant (16RDRP-B076564-03) from regional development research program funded by Ministry of Land, Infrastructure and Transport of Korean government. + This work was supported by Science Foundation from the Natural Science Foundation of Zhejiang Province (no. LQ14H290002) and Zhejiang Provincial Administration of Traditional Chinese Medicine (no. 2014ZB012). + This study was supported by grants from the Natural Science Foundation of China (81272472) and Technology Services of Jilin Province Scientific and Technological Project (20150414028GH; 20150520035JH). + This work was supported by grants from the American Heart Association and Miami Heart Research Institute. + We are grateful to Miss Guri Christiansen and Mrs. Michele Lartigot for their technical assistance and to Mrs. Elsbeth Scheidegger for her assistance and care of the marmosets. We thank Miss Susi Naegeli for typing the manuscript. + We are indebted to Professor YJ Lee of Chungbuk National University and Dr JY Kim of the Korea Institute of Geosciences and Mineral Resources for their helpful comments and suggestion. Dr Yum acknowledges work Korea Research Foundation Grant (KRF-2000-042-D00096) for partial financial support. + This work is supported in part by NASA grant NNX07AH65G and the Smithsonian Institution. This work has made use of the NASA/IPAC Extragalactic Database (NED) which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. We thank John ZuHone and Ryan Johnson for helpful discussions. Facilities: CXO (ACIS-I, ACIS-S), VLA + This work has partly been supported by the European Commission under contract number H2020-ICT-645403-ROBDREAM. + Acknowledgements. The authors thank the Space Weather Prediction Center of NOAA and SIDC for providing access to their archived space weather alerts. The MIRACLE network is operated as an international collaboration under the leadership of the Finnish Meteorological Institute. The IMAGE magnetometer data are collected as a joint European collaboration. INAF-IAPS (Italy) and the University of Oulu (Finland) maintain the ITACA ASCs and the ASC in Sodankylä. National Institute on Polar Research (Japan) is acknowledged for their service of auroral images which was used in RAF testing. A. Ketola, L. Häkkinen, S. Mäkinen, P. Posio, K. Pajunpää and A. Koistinen (all in FMI Observation Unit) are acknowledged for their persistent and professional work for MIRACLE observations. P. Janhunen (FMI) gave valuable advice in the analysis of W/V curves. Edited by: J. Pulliainen + The authors would like to thank the NIH Protein Structure Initiative for generous support of the PHENIX project (1P01 GM063210). This work was supported in part by the US Department of Energy under Contract No. DE-AC02-05CH11231. RJR is supported by a Principal Research Fellowship from the Wellcome Trust (UK). The authors would like to thank Gerard Kleywegt for pointing out the differences between PDB entries 1zen and 1b57 and an anonymous reviewer for unusually extensive and insightful questions and comments. + Acknowledgments RvM received a scholarship of the Technology Foundation (STW Project 7180). Nicola Tien is acknowledged for many useful comments and stimulating discussions. The comments of two anonymous reviewers was greatly appreciated. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. + We thank A. DeLong, R. Offringa, J. Friml and J. Xu for providing published materials, and J. Xu for helpful comments on this manuscript. This work was supported by Academic Research Funds (MOE2009-T2-2-111, R-154-000-468-112, R-154-000-598-112 and R-154-000-506-112) from the Ministry of Education-Singapore, the Singapore National Research Foundation, under its Competitive Research Programme (NRF2010NRF-CRP002-018), and the intramural resource support from National University of Singapore and Temasek Life Sciences Laboratory. + The authors wish to thank the Senex Energy Ltd management team and the APPEA Technical Program Committee for the opportunity to publish this paper. The authors wish to thank Alan Sansome of DMITRE for assistance in the reconnaissance of data, James Crowley for technical reviews and support during the writing of this paper, Michaela Farrow of Schlumberger for her ongoing assistance, David Warner and Bob Frears for technical review, Tony Kennaird for assistance with core analysis, and Mark Riley and Ian Moffat of Precipice Training who provided insightful opinions and facilitated numerous interesting discussions during interpretation. The authors also wish to thank previous investigators for documenting the stratigraphic complexity of the Cooper Basin. The views presented in this paper are those of the authors at the time of publication and do not necessarily reflect those of Senex Energy Ltd management. + We thank Northwestern University MicroCT facility for use of the microCT. We also thank K. Ignatiev for expert technical assistance and help with 3D-renderings and the members of the Developmental Systems Biology Core for stimulating discussions. H.G.S. received a Schweppe Career Award. + Acknowledgments Funding for this study was provided by the National Insitute on Drug Abuse (NIDA) R01-DA032550. The original data collection was funded by R01-DA11796 and R01-MH57005. Dr. Johnson's work was supported by K01-DA31738. Dr. Matson's work was supported by K01-DA035387. + We thank all members of the Department of Molecular Genetics of the Tokyo Medical and Dental University who provided helpful discussion. This study was supported by a grant from the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI no. 15598477). + The authors wish to thank Doug Robinson (JMP Life Sciences) for help with array analysis, Charles Vanderburg (MGH Department of Neurology) for technical help and Matthew J Niederst for providing patient-derived cell lines. This work was supported by NIH RO1 CA207186 (DAH), HHMI (DAH, MNR), National Institute of Health/National Institute of Dental & Craniofacial Research K08DE020139 (SMR) and the Burroughs Wellcome Fund (MNR). + This work was supported by INRIA FRM, ERC-NERVI number 227747, European Union Project # FP7-269921 (BrainScales), and Mathemacs # FP7-ICT-2011.9.7 + The authors wish to express their appreciation to all study participants on the TwinsUK, KORA and EGCUT studies for donating their blood samples and time. + We thank Drs Ralf Klessen, Volker Springel and Meng Xiang-Grüß for making available some of the numerical tools that we used for the calculations presented in this paper. We furthermore thank the referee for his comments on an earlier version of this paper, that significantly improved the quality of the publication. + The research reported herein was supported by the Center's Partnership Program. The findings and conclusions expressed are solely those of the authors and do not represent the views or policy of the partners or the Center for Retirement Research at Boston College. + Acknowledgment. The authors' would like to express their thanks to the reviewers for helpful suggestions and comments towards the improvement of this paper. The first author M.A. Pathan would like to thank the Department of Science and Technology, Government of India, for the financial assistance for this work under project number SR/S4/MS:794/12. + We thank Bei Wei, and Drs. Martin Enge, Bernhard Schmierer and Minna Taipale for critical review of the manuscript, and Sandra Augsten, Lijuan Hu, Anna Zetterlund, and Sini Miettinen for technical assistance. + Preparation of this article was supported by Grants DA026594 from the National Institute on Drug Abuse and AA021888 from the National Institute on Alcohol Abuse and Alcoholism to Seth J. Schwartz, and by National Center for Advancing Translational Sciences Grant 1UL1TR000460 to José Szapocznik. We thank Maria-Rosa Velazquez, Tatiana Clavijo, Mercedes Prado, Alba Alfonso, Aleyda Marcos, Daisy Ramirez, Lissette Ramirez, and + [23] Acknowledgments. This research is supported by NOAA grant GC01-229, NSF grants ATM0650552 and ATM0652145 and NSFC (National Natural Science Foundation of China) grant 40528006. The authors thank the valuable comments from A. Timmerman and careful editing of the manuscript by A. Barcilon and Diane Henderson. SOEST contribution XXXX. + Grant PN-II-RU-RP-2008-4-7 of the Romanian MEC We thank J.M. Crolet for his remarks. + The authors thank Dr. Jan Löwe for providing B/r H266 strain, and Dr. Alexey Melnikov and Dr. Pavel Serdobintsev for their help in the development of the optical set up. The reported study was supported by the Russian Science Foundation, research project no. 14-34-00023. The work was carried out using the unique set up "Laser tweezers". + Acknowledgment The authors thank R. J. Toohill (Medical College of Wisconsin, Milwaukee) for reviewing the manuscript. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. + We are indebted to the participating families, the midwife research assistants (L Douhaud, S Bedel, B Lortholary, S Gabriel, M Rogeon, and M Malinbaum) for data collection, the psychologists (Marie-Claire Cona and Marielle Paquinet) and P Lavoine, J Sahuquillo and G Debotte for checking, coding, and data entry. We also thank S Kern for providing the + The study team gratefully acknowledge financial assistance received from the physicians of Ontario through The P.S.I. Foundation and from HealthForceOntario (a joint initiative of the Ontario Ministry of Health and LongTerm Care and the Ontario Ministry of Training, Colleges and Universities). We extend thanks to Mavis Leong and Allan Kostyniuk for their help with the chart audit, to Shari Gruman for formatting the paper, and to the IMPACT team for contributing to the development of our collaborative model of care for complex elderly patients. Ross Upshur is supported by + Yasin M. Abul-Huda acknowledges the support of the National Defense Science and Engineering (NDSEG) Fellowship as well as the Rackham Merit Fellowship (RMF). The part of this work conducted at Stanford University was performed under the auspices of the Department of Energy-sponsored Predictive Science Alliance Program (PSAAP) at Stanford University. The authors would like to thank an anonymous reviewer for inviting us to develop the model of Sec. V further into its current form. + This research was possible due to support from National Institutes of Health (Grant # 2R44DK061164). The authors would like to thank Gordon Hirschman and Lynn Bardsley of Infoscitex, Inc for their kind input during the course of this study. + The authors thank patients for their participation and the Spanish HIV HGM BioBank supported by ISC III (Grant nu RD09/0076/00103), FIPSE and collaborating centres for the clinical samples provided. + This work was supported by grants from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) R01-073944 to BL, from the Canadian Institutes of Health Research (CIHR) MOP97858 to MDM, and from Natural Science Foundation of China (81371173) + We gratefully acknowledge AIRC (IG-12085), Ente Cassa di Risparmio di Firenze (MODECRF 130504) and University of Pisa (PRA_2015_0055) for generous financial support. The authors wish to thank Maria Agostina Cinellu of the Department of Chemistry and Pharmacy, University of Sassari, for the gift of a sample of Aubipy c . + Acknowledgments: We thank the physicians, nurses, and clinical staff at the Disease Control and Prevention Center for their excellent work. + Authors appreciate technical support by Yu Sub Sung, PhD at the Biomedical Imaging Infrastructure in the Department of Radiology, Asan Medical Center. + We thank Drs Harry Rozmiarek and John Cebra for valuable support and advice. Dr Cebra's untimely death while this manuscript was in review has saddened all of us, and will surely have a negative impact on the field of gnotobiology. This study was supported by National Institutes of Health Grants DK 55852, P30-DK 50306 and RR12211; we thank the Morphology Core in the Center for Digestive and Liver Disease for histological preparations. + In this research, JPG was supported by EPSRC under Grant No. GR/S54074/01. DK was supported initially by the Director, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division, U.S. Department of Energy, under Contract No. DE-AC02-05CH11231. RLJ and DC were supported initially by NSF grant CHE-0543158 and later by Office of Naval Research Grant No. N00014-07-1-0689. + The authors would like to thank the reviewers for their comments and suggestions which helped improve the presentation and readability of the paper. The first author is grateful for the time provided by General Motors Corporation for the work on revising the manuscript. + The goal of this study is to elucidate the prehistory of populations as reflected in their genetic variation. It does not intend to evaluate the self-identification or cultural identity of any group, which consist of more than simply genetic ancestry. We sincerely thank all the donors of genetic samples for their participation in this investigation, Rem Sukernik and Dejan Matić for assistance with sample collection, Mark Stoneking for helpful discussion, Torsten Blass and Gabriel Renaud for assistance with R and the haplotype sharing analysis, and two anonymous reviewers for comments. + The authors would like to thank all lab staff who performed mouse breeding and biochemical analyses at AstraZeneca and the University of Cambridge for this project. We wish to thank Jane Löfvenmark for invaluable help during the early stages of the project. We would like to thank the animal care staff at the institutions involved for their work on this project. We also thank Ian McFarlane, Lyn Carter and Jeremy Skepper for providing technical help. + The financial support from the Grant Agency of the Czech Academy of Sciences (grant no. GA AV IAAA401990701) is greatly acknowledged. The authors also wish to express their thanks to Anna Vasatkova and Vaclav Diopan for excellent technical assistance and to Veronika Kohoutkova for the English corrections. + This work was partially supported by PRONEX/FAPESQ-PB, CNPq and CAPES (PROCAD). We are indebted to Prof. Mark Alford for his comments on reference [22] and for pointing out to us reference [8] . + The author thanks Akihiro Munemasa and Etsuko Bannai for the collaborations on some of the materials presented in this paper. The author thanks Tbshitake Kohno for introducing and explaining to the author about fusion algebras and conformal field theory. The author also thanks Mitsuhiro Kato and Yasuhiko Yamada for the valuable discussions while the author visited High Energy Physics Laboratory at Tsukuba in February 1991. + The authors would like to warmly thank Dr. Brigitte McGregor for her assistance with the immunohistochemistry. + It is a pleasure to thank A. Athenodorou, E. Bennett, G. Bergner, F. Bursa, L. Del Debbio, D. Henty, E. Kerrane, A. Patella, T. Pickup, C. Pica, A. Rago, E. Rinaldi, R. Sabin for their valuable contributions to the collaborations on which this work is based. Numerical computations were executed in part on the Blue Gene/P machine in Swansea University and the ULGQCD cluster in the University of Liverpool (part of the DiRAC facility supported by STFC), on the HPC Wales cluster in Cardiff, supported by the ERDF through the WEFO (part of the Welsh Government), on the BlueGene/Q system at the Hartree Centre (supported by STFC) and on the BlueGene/Q system at the University of Edinburgh (part of the DiRAC2 facility supported by STFC). This work has been supported by STFC (grant ST/G000506/1). + We would like to thank all the anonymous reviewers for their valuable comments and suggestions which have helped improve this paper. We would also thank the Editors and the Editorial Office for their diligence. + We thank Dr. Stephen Gunther and Thomas Kontry for providing us with [ 125 I]iodoANP. The excellent technical support of Margaret Gosselin, Nancy Pazdziorko, and Greg Hodder is deeply appreciated. We also thank Ms. Doris King and Virginia King for preparing the manuscript. + Acknowledgements Supported by the US Public Health Service (DK067287 to JMC), the UCSD Digestive Diseases Research Development Center (DK080506), and the San Diego State University/UCSD Comprehensive Cancer Center Partnership (CA132379 and CA13238). Disclosure All authors declare no conflict or competing interest for this manuscript. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. + This work was supported by the Pró-Reitoria de Pesquisa of Universidade Federal de Minas Gerais which provided financial aid to the translation of this manuscript into English language. + This paper was supported by the Israel Science Foundation (Grant 159/10 awarded to Ram Frost), by a Marie Curie IIF fellowship awarded to Blair Armstrong (PIIF-GA-2013-627784), and by the NICHD (RO1 HD 067364 awarded to Ken Pugh and Ram Frost, and PO1 HD 01994 awarded to Haskins Laboratories). + Acknowledgements We thank Mr. Alberto Parisi for technical support. + We thank the DESY directorate for their strong support and encouragement. The remarkable achievements of the HERA machine group were essential for the successful completion of this work and are gratefully acknowledged. We also thank G. Kramer for useful discussions and B. Pötter for providing the JetViP calculation. + This project was funded by Horticulture Australia Limited in partnership with AusVeg (project number VG07126; program 2AE1) and USDA-ARS CRIS Project 5358-21000-035-00. We gratefully acknowledge the bean growers and processors who allowed access to their fields for sampling. Travel of Dr Gent to Australia was also partially funded by the University of Tasmania 's Visiting Scholar Program. Thanks are also extended to Craig Palmer, Stacey Pilkington, Dr Jason Scott, Thomas O'Malley, Phillip Beveridge, Gordon Tuck, and Phil Gardam, University of Tasmania, for excellent technical assistance. + This work was supported by grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação Araucária (FA), and Coordenação de Aperfeiçoamento do Pessoal de Nível Superior (CAPES). The sponsors had no involvement in the study design, collection, analysis and interpretation of data, writing or revision of the report or in the decision of publishing. The authors would like to express their gratitude for the technical assistance of Aparecida Pinto Munhos Hermoso, Célia Akemi Gasparetto, Irene Aparecida Bernardino, and Luiz Saraiva Arraes. + [22] Acknowledgments. We wish to thank the National Science Foundation for financial support to R. Dugdale and F. Wilkerson (JGOFS-Synthesis and Modeling Program (SMP) grant OCE-01354430), F. Chai (SMP OCE-137272), and M. Lyle (OCE-9811272 and EPS 0132626). We would like to dedicate this paper to Jack Dymond, a close friend and colleague. His insights into biogeochemical cycling will be missed by us all. This is US JGOFS contribution 1048. + I would like to thank the two anonymous reviewers for their comments and suggestions, as well as the DZ Bank Stiftung for the financial support during the study. + This work was supported by NIH funds through a supplement (LMF) to IMPAACT (U01 AI068632), a fellowship (SCO) award (T32 HD07233), the 1032 study team in Chiang Mai (U01 AI41089 The authors would like to thank Rob Hall for his assistance in pyrosequencing subject samples at the Bumgarner laboratory. ) + The present study is supported as a National Science and Technology Major Project (2013ZX10005002). + We would like to thank Dr. Craig McGowan for the use of his equipment and ProAnalyst license in order to track the videos used in this experiment. + We are grateful to Eric Jensen for his technical assistance, to Dr. Carolyn Kerr for carrying out the anesthesia, and to Dr. Gary Bouck for performing the surgeries. Thames Valley Veterinary Services, in particular Jackie Taylor and Cathy Cavanagh, provided additional animal care. We also thank the referring veterinarians and owners of the volunteer pets. We are indebted to Dr. Raoul Pereira, Dr. Charles McKenzie, and Dr. Frank Prato for their many valuable suggestions involving the MR protocol. Image analysis was performed using the Xstatpak program developed by J. Davis. Contrast agents were provided by Schering AG. + We acknowledge the financial support of Széchenyi 2020 under the EFOP-3.6.1-16-2016-00015. + I would like to express my gratitude to Prof. F.W.Hehl, P.S.Letelier and A.Wang for helpful discussions on the subject of this paper. Financial support from UERJ and CNPq. is gratefully acknowledged. + Acknowledgments This work was supported by Kakenhi (15H05569 and 15H01417), the Life Science Foundation of Japan, the Inoue Foundation, and the Public Health Research Foundation. + Acknowledgements. -The authors thank Dr. Bogdan Kralj of the Mass Spectrometry Centre at Jozef Stefan Institute (Ljubljana) and Janez Plavec of the Slovenian National NMR Centre. This investigation was supported by the Ministry of Science and Technology of Slovenia (P-0515) and COST-D8 Programme. + The experimental results presented in the paper were obtained in the framework of the TRE3 research project, funded by the Fondazione CARITRO -Cassa di Risparmio di Trento e Rovereto (Trento, Italy). The industrial partners X-Lam Dolomiti (Castel Ivano, Italy) and Rothoblaas (Cortaccia, Italy) are gratefully acknowledged for providing the materials used in the tests. Mario Pinna and Diego Magnago are gratefully acknowledged for preparation and running all the tests. Further acknowledgements are extended to Dr. Tiziano Sartori, who provided some useful remark on typical light-timber frame wall systems. + This work was supported, in part, by a grant from the NIH/ NIMH (MH095325, K.S. and H.M.L., Multiple PI). + The authors would express their gratitude to Professor Keiichi Noguchi for technical advice. This work was partially supported by the Mukai Science and Technology Foundation, Tokyo, Japan. + Acknowledgments. We are grateful to C. Johnson for sending us an early version of [J] and to D. Nakano for helpful conversations. We also thank the referee for helpful comments. + The authors acknowledge expert advice and contributions from Chris Westlake, Guowei Fang, Ben Chih, Andy Peterson, Cecile Chalouni, John S. Beck, Darryl Y. Nishimura, Charles C. Searby, Martin Griebel, John Neveu, Bogdan Budnik, Renee Robinson, Alex Loktev, Jorge Torres, Saikat Mukhopadhyay, Dirk Siepe and Kevin Wright. We acknowledge the following support: JJM, NIH Medical Scientist Training Program Grant GM07365-33; RHG, the Netherlands Organisation for Scientific Research VIDI grant 016.066.354 and the EU FP7 "Syscilia" project 241955; LMB, the Cardiovascular Center Interdisciplinary Research Fellowship, University of Iowa; JFO, NIH grant DK071108; DCS, NIH Grant CA112369; J.B.V., Canadian Institutes of Health Research grant MOP-102758; DAD, KL2RR025015 and R01NS064077; J.F.R., NIH Grant R01-AR054396, the March of Dimes, the Burroughs Wellcome Fund, the Packard Foundation, and the Sandler Family Supporting Foundation; VCS, NIH Grants R01-EY11298, R01-EY017168, the Roy J. Carver Charitable Trust, Carver Endowment for Molecular Ophthalmology, and Research to Prevent Blindness. VCS is an HHMI investigator. FH is an HHMI Investigator, a Doris Duke Distinguished Clinical Scientist, and a Frederick G. L. Huetwell Professor. FH acknowledges support from the NIH grants (DK1068306, DK1069274, and DK090917). + This study was funded by grant 1 R21 HD068736-01 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), a component of the National Institutes of Health (NIH). Additional support came from NICHD award K01 HD075834. The content of this publication is the responsibility solely of the authors and does not necessarily represent the official views of NICHD or NIH. + The present article was extracted from proposal No. 92-01-21-6745 approved by the Student Research Committee of Shiraz University of Medical Sciences, Shiraz, Iran. Thanks also go to the farmers who sincerely cooperated during the project. + Writing assistance was provided by Anna Abt, Ph.D., of ETHOS Health Communications in Yardley, Pennsylvania, and was supported financially by Novo Nordisk Inc., Plainsboro, New Jersey, in compliance with international Good Publication Practice guidelines. + Acknowledgments This work is supported by the Dutch Technology Foundation STW under the VIDI-Innovation Impulse program, grant DLR.6198. + Funding for the RFC Editor function is currently provided by the Internet Society. + We have been very happy with our use of the OPNET simulator. Our experiences show that students benefit from the OPENT simulation laboratory in many ways. The OPNET simulation labs reinforce the networking theory taught by regular lectures. The open design of the labs encourages active learning. In addition, students gain the knowledge of modeling and simulation technique for performance evaluation of networking systems. + We gratefully acknowledge the participants, for without them this research would not be possible. + We would like to thank all of the site research coordinators for their help with data extraction and validation. We would also like to thank the Neurosurgery Research and Education Foundation for its financial support of this work. + SM acknowledges financial support from the Finnish Cultural Foundation (Science Workshop on Entanglement), the Emil Aaltonen foundation (Non-Markovian Quan- + This work was supported by National Natural Science Foundation of China (Project No: 51777153). + Acknowledgments. The authors would like to thank the anonymous reviewers for their valuable comments and suggestions on how to improve the paper. This work has been supported by the EU FP7, project No. 317858 "BigFoot -Big Data Analytics of Digital Footprints" and Swiss National Science Foundation, project No. CRSII2 136318/1, "Trustworthy Cloud Storage". + We are indebted to Francisco Collado, from "Oficina Técnica de la Devesa de El Saler" ("La Albufera" Natural Park) for suggesting Limonium species of interest for conservation/regeneration programs of salt marshes in the Natural Park. We acknowledge the technical assistance of Ms. Mariola Monllor and Mr. Andreu Manzanera with the seed germination assays and the maintenance of plants in the greenhouse, respectively. + The authors thank S Frankenberg and HC Kuo for comments on the manuscript and C Lorthongpanich for assistance in statistical analysis. They also thank PH Cheng, the animal care team and veterinary staff at the Yerkes National Primate Research Centre (YNPRC). All animal procedures were approved by the IACUC and the Biosafety Committee at the Emory University. This work was supported by NIH grant awarded to AWSC (RR018827-04). + We thank the staff of the synchrotron beamlines involved in the work (beamline ID23-1 at the ESRF in Grenoble, France, beamline X06DA at the Swiss Light Source, Paul Scherrer Institut, in Villigen, Switzerland, and beamline MX-14.1 of HZB BESSY II, Helmholtz-Zentrum Berlin, Germany) for support and assistance with X-ray data collection. We are grateful to Günter Schwarz and Ulrich Baumann (both University of Cologne, Germany) for access to protein crystallography equipment. The work was funded by the National Academy of Sciences of Ukraine (grants 0107U003345, 0107U003345 and 0112U004110) and the Deutsche Forschungsgemeinschaft (grants NI 643/4-1 and NI 643/4-2). + The authors thank the State Laboratory of Applied Organic Chemistry, Lanzhou University, for funding this study. + We are grateful for the financial support of the European Research Council grant on NANOGRAPH, DFG Priority Program SPP 1459, Graphene Flagship (No. CNECT-ICT-604391), and European Union Project MoQuaS (contract No. 610449). + One of us (LW) acknowledges Andrew Persily and members of his group at the National Institute of Standards and Technology for supplying the Model 3007 and the test house on the NIST campus where the indoor-outdoor measurements were made. WO gratefully acknowledges the assistance of Jane McAteer in monitoring several California restaurants, and the Flight Attendants' Medical Research Institute for support. We also acknowledge TSI for loaning a second Model 3007 to determine the precision of the instrument. + Acknowledgments: S.O.K. and A.D.R. are financed by Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil. This research has made use of NASA's Astrophysics Data System and of the cross-match service provided by CDS, Strasbourg. Funding for the Sloan Digital Sky Survey has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions. The SDSS web site is www.sdss.org . Part of the work has been based on observations obtained at the Southern Astrophysical Research (SOAR) telescope, which is a joint project of the Ministério da Ciência, Tecnologia, Inovações e Comunicações (MCTIC) da República Federativa do Brasil, the U.S. National Optical Astronomy Observatory (NOAO), the University of North Carolina at Chapel Hill (UNC), and Michigan State University (MSU). + The authors wish to thank Dr P. Lewis and Dr M. Martin, Consultant Cardiologists, Stepping Hill Hospital, Stockport, for permission to study their patients and Dr P.J. Martin and the staff of the Pathology Department, Stepping Hill Hospital, for their valuable support in the collection of patients blood samples. + The authors would like to acknowledge Bernd Brunner, PhD, and Cindy Wake, BS, for support of the motesanib and erlotinib bioanalytical analysis and sample coordination; Rebeca Melara, MS, and Jian-Feng Lu, PhD, for contributions to the pharmacokinetic analysis; and Erik Rasmussen, MS, for statistical support. Additionally, the authors would like to thank Benjamin Scott, PhD, and Ali Hassan, PhD (Complete Healthcare Communications, Inc., Chadds Ford, PA), whose work was funded by Amgen Inc., for assistance in writing this manuscript. Competing interests DK has received commercial research grants and support from Amgen Inc. NT and TP have served as consultants/advisors for Amgen Inc. JD has as served on the speakers' bureau for Novartis and Pfizer; has served as a consultant/advisor for Novartis, Pfizer, and Merck; and has provided testimony for Pfizer. SW has served on the speakers' bureau for Roche and Schering-Plough and has served as a consultant/advisor for Roche. SM, YNS, JJ, AHA are employees and shareholders in Amgen, Inc. LLS declares that she has no competing interests. + The present study was supported by the Scientific Research Foundation of Wenzhou (grant no. Y20100042). + Morten Andersen has received funding from the Novo Nordisk Foundation (NNF15SA0018404). + This research is partly supported by the research program "Desentralisasi DIKTI-ITB" with contract number 310n/I1.C01/PL/2015. + The authors would like to acknowledge the financial support provided by the Brazilian funding agencies CNPq, CAPES and FAPERJ. + We thank Youwei Wang, Bin Wang, Shulin Yan and Tiansuo Zhao for excellent technical assistance. This work was supported by National Natural Science Foundation of China (30570357 and 30600238), 863 project of the Ministry of Science and Technology of China(2006AA02A110), Tianjin Municipal Science and Technology Commission, China (06YFSZSF01300 and 05YFJZJC01500). + We thank Kosuke Yusa and Graziano Martello for comments on the manuscript. We are grateful to Carla Mulas for assisting the miRNA expression plot, Yiping Zhang for lncRNA candidate prediction analysis and Rosalind Drummond for technical support. We thank Heather Lee for providing Dnmt3a and Dnmt3b siRNAs and Wolf Reik for support. We thank Nicholas Ingolia for useful discussion on lncRNA ribosomal footprinting. We also thank Peter Humphreys and Andy Riddell for technical support for imaging analysis and flow cytometry respectively. AS is supported + The authors would like to thank Dr. S. Yamagishi and Mr. Y. Takahashi for their suggestion on application of the closed vessel and supply of the sample particles. We are also indebted to Drs. T. Kondo, M. Handa and T. Ogawa for continuing guidance and encouragement. + No funding was received for this study. + The authors thank the subjects for kindly agreeing to take part in this study. C. Tur thanks Prof X. Montalban for his support and input. The MS NMR Research Unit is supported by the MS Society of Great Britain and Northern Ireland. + We thank Garrelt Mellema for a useful correspondence. This work is partially supported by the Grant-in-Aid for Scientific research from the Ministry of Education, Science, Sports, and Culture, Japan, Nos. 21111006, 22244030, 23540327 (K.K.), 23.5622 (T.S.) and 23740195(T.T.). + The authors have no relationship with the NICS apart from being the recipients of a research grant which allowed this project to be undertaken. The NICS neither controlled nor influenced the study design, data collection, analysis, interpretation, writing or submitting of the article. All authors declare that they are unaware of any real or potential conflicts of interests arising from their involvement in the research project described in this manuscript or in their roles as co-authors of the manuscript. + This work was part of a PhD project at the University of Tasmania. Scholarship support was provided to the F. H. by the University of Tasmania and an incremental scholarship by the CSIRO/UTAS Quantitative Marine Science program. The authors gratefully acknowledge Craig Johnson and Geoff Tuck for providing reviews that improved the manuscript. + the Swiss State Secretariat for Education, Research and Innovation SERI and ESA's PRODEX programme. The Polish team acknowledges Polish National Science Centre grant 2013/10 /M/ST9/00729. Czech team acknowledges GA CR grant 13-33324S. The German teams acknowledge the support of the German Space Agency-DLR and of the Max-Planck-Gesellschaft. + The authors thank Robert (Bob) and Barbara Brownlow (Ashby, New South Wales) for their hospitality and for providing access to their property so that the morphological variation within the known population of Prostanthera elisabethae could be studied in detail. Sue and Brian Phillips kindly provided photographs and additional information on the distribution of this species. Helen Conn (Picnic Point, N.S.W.) accompanied Barry Conn as a joint collector of the representative herbarium samples. We acknowledge that Trevor Wilson was supported by Australian Biological Resources Study (ABRS) grant RFL212-43. + We thank Micah Hamady for his help with the data analyses, Chris Lauber for his assistance with the laboratory analyses, and Joe Jones at Engencore for performing the sequencing. We also acknowledge members of the Fierer lab group who provided valuable comments on previous drafts of this manuscript. Funding for this work was provided by grants from the National Institutes of Health and the Howard Hughes Medical Institute to R. Knight and grants from the National Science Foundation (to N. Fierer and C. McCain), the U.S. Department of Agriculture (N. Fierer), and the National Geographic Society (N. Fierer). + Jochen Heinrichs initiated this paper when he still was with us and we are now using this opportunity to remember him. We thank Robbert Gradstein for bringing the Plagiochila loriloba case to our attention causing us to start the investigation. We also thank Fred Barrie, John Engel and Gary Merrill for helpful comments in their review. + Author identifying information: Author AH has received no research funding and has no conflicts of interest to declare. Authors MW, SDP RND have no conflicts of interest to declare. + This public health and regulatory effort would not have been possible without the FSIS Heidelberg Investigation Team, which, in addition to FSIS authors of this article, includes FSIS Office of Field Operations staff (Gregory Abreu, Abdalla Amin, Denise Caganap, Stephanie Calkins, Rebecca Christensen, Ahmed Darwish, Greg Derrick, Chloe Dixon, Maredyth Dutton, Frank Gillis, Maria Salazar, Jaclynn Scrivner, Lisa Wang, Mitchell Williams, and Eryn Worthing) who were instrumental for recall, enforcement, and sampling efforts, and the >FSIS Office of Investigations, Enforcement, and Audit staff (Gregory Fox and David Hori) who led traceback efforts, as well as the staff of the FSIS Field Laboratories, who performed the laboratory analyses for this + This work was partly supported by a Grant-in-aid for scientific Research (B) No. 09440234 and (C) No. 10640554 from the Ministry of Education, Science, Sports and Culture, Japan, and University of Tsukuba Research Projects. + The authors would like to acknowledge Dr. Henry Meissner and Dr. Linhua Zhang for providing valuable suggestions in preparing the manuscript. We also thank the Metabolomics Facility + Acknowledgments. We would like to thank Thomas Hofmann, Deepak Ajwani and the anonymous reviewers for their helpful suggestions. + The authors wish to acknowledge financial support by the EU + The authors wish to thank Deborah Salerno, for her kind support in grammar and style. + The authors are grateful for the help of Yue-Jian Wang. + We thank Mans Hulden and Aki-Juhani Kyröläinen for their assistance in analyzing Finnish errors.. This research was supported by the Natural Sciences and Engineering Research Council of Canada, and the Alberta Innovates Technology Futures. + These tests suggest that it is possible to resume the modeling and prediction of the antibubble within the second-order Landau model. + This work was supported by the National Institutes of Health (1R01GM114401 to CS and T32GM007223 to EL) and an NSF GROW award to ARC. + The authors thank D. Palaiologou, E. Staikou, and A. Stefanou for excellent technical assistance. + This work was supported in part by a National Science Foundation grant to ITAMP at the Harvard-Smithsonian Center for Astrophysics. + This work was supported by a National Project funded by the Small and Medium Business Administration, Republic of Korea (#215C000385). + We gratefully acknowledge Dr. Fabio Siviero and Roberto Cabado Modia for help in preparing some of the figures and 3D reconstructions, and Dr. Marisa Rangel for help in statistical analyses. This work was supported by the FAPESP, Fundação de Amparo a Pesquisa do Estado de Sao Paulo. + We thank all the investigators participating in the PURE- + The authors thank Monika Arens (managing director, Arewus GmbH) and Anders Rosholm, PhD, for the use of the + The authors acknowledge support by the National Institutes of Health (P01CA80124, R01CA115767, R21CA139168, M01RR01066, Federal Share/NCI Proton Beam Program Income Grants); by a Department of Defense Breast Cancer Research Innovator award (W81XWH-10-1-0016) and by an American Cancer Society Research Grant (RSG-11-073-01-TBG). + This research was supported by a grant (MT-11-CA-11420004-054) from the Forest Health Technology and Enterprise Team -Biological Control of Invasive Native and Non-Native Plants (FHTET-BCIP). We thank Megan Hofland for providing technical assistance. We thank Jon Rico, Rodrigo Silva and Carmen Bernardi, from ISCA Technologies, for overseeing and coordinating the formulation of the treatments. Field assistance was provided by Adam Cook, and Paramjit Singh Gill. We also thank Dr John Gaskin, Mary Mayer and the Bighorn National Recreation Area (BICA-2014-SCI-0002) for providing research locations. + Funding Source: Dr. Watt receives support from the United States Government for his work in pediatric research (5T32HD043029-09) Dr. Li received support from the United States Government (1U54RR023469-01) and from industry (research support from Sanofi Aventis, and Genzyme; honoraria from PTC Bio, and Daiichi Sankyo). Dr. Benjamin receives support from the United States Government for his work in pediatric and neonatal clinical pharmacology (1R01HD057956-02, 1R01FD003519-01, 1U10-HD45962-06, 1K24HD058735-01, and is the Principal Investigator of the Pediatric Trials Network, Government Contract HHSN275201000002I); the non profit + This work was supported by grants from the Hungarian National Research Foundation (OTKA T 034307). The authors wish to express thanks to M. Balog for technical assistance and M. Szabó (ICN Hungary Ltd.) for mass spectral measurements. + We thank Nicola O'Reilly (Crick Peptide Chemistry platform) for peptide synthesis; Koray Kirli and Dirk Görlich for running MRTF through their unpublished structure-based NES prediction programme; Michael Howell (Crick High Throughput Screening platform) and Graham Clark (Crick Equipment park) for technical support; Nick Totty for mass spectrometric analysis during the early stages of this project, and Bram Snijders for support; Shabaz Mohammed and Albert Heck (University of Utrecht) for access to the Orbitrap machine; and Axel Behrens, Thomas Güttler and Beric Henderson for plasmids; and members of the Signalling and Transcription group for helpful discussions and comments on the manuscript. This work was funded through core funding from CRUK to its London Research Institute until April 31st 2015, and thereafter by the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001-190) + We would like to thank Drs. Mervyn J Monteiro and Ilia V Baskakov for suggestions and discussions during the course of this study. This work is supported by grants from NSF and NIH/NIAAA to SF. + We would like to thank the people of the Ice and Climate Group of the IMAU, the reviewers, G. Wendler and R. Hock, and the Scientific Editor, R. Naruse, for numerous helpful comments made on the original draft of this paper. We are grateful to A. Souren for improving the English, and Meteo Schweiz for providing the meteorological data. + Authors are highly thankful to Adan Borunda Terrazas, Jair Marcelo Lugo Cuevas, Gregorio Vazquez Olvera, Victor Manuel Orozco Carmona, Karla Campos Venegas, Luis de la Torre Saenz, and Manuel Roman Aguirre for their generous assistance in this work. + This work was supported by the National Natural Science Foundation of China 81620108030 and Natural Science Foundation of Shanghai 15ZR1441900. + The authors appreciate all patients who provided clinical samples for this study. This work was supported by grants from the Japan Society for the Promotion of Science (KAKENHI Grant Nos. JP26290041, JP17H03584, and JP26861056), Takeda Science Foundation, the Vehicle Racing Commemorative Foundation, and a research grant from the Princess Takamatsu Cancer Research Fund. + We thank Professor R. C. Hider and L. Ding Yong (Department of Pharmacy, King's College, London, UK) for kindly providing test samples for NTBI measurement. + Acknowledgments We would like to acknowledge Monica RossMcLean for her assistance in the study. + We thank J. Donley for computing X-ray flux upper limits for the nondetections, and D. Sand for making available his reduction of the WFPC2 images. + This work was supported in part by Department of Biology, Faculty of Science, Prince of Songkla University. + The authors ackriowledge the secretarial assistance of Renee Parker. Norine Carle, RN, played an invaluable role in the project by serving as the programmed patient. + The authors thank Dimitrios Xefteris for useful discussions and the PHC Galilée G15-30 "Location models and applications in economics and political science" for financial support. Matías Núñez was supported by the center of excellence MME-DII (ANR-11-LBX-0023-01). Marco Scarsini was partially supported by PRIN 20103S5RN3 and MOE2013-T2-1-158. This author is a member of GNAMPA-INdAM. + Acknowledgements Open access funding provided by University of Vienna. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. + Supported by the Polish Ministry of Science and Higher Education, Poland, Grant N518 028 32/1769; and the Foundation for Polish Science in Domestic Grants for Young Scientists Program (ES-Z). + This book has many illustrations based on cadaver dissections. We will never know the names of the many people who donated the bodies that we (or others) photographed to convey the anatomy of the cranial nerves, but we are most grateful to these individuals for their generous donation. Haley Moon was a research/technical assistant for this book and helped in all ways including obtaining permissions to use illustrations and doing some of the artwork. We thank her very much. Lowene Stipp and Joanne Summers are thanked for the secretarial assistance they provided to develop this book. Steven Fraser drew all of the illustrations that appear as the second figure in all of the chapters and we are grateful to him for his beautiful work and for his patience with our many revisions. We thank Dr. Edward Weber for graciously providing radiologic images for us. At Wiley we thank our editor and editorial assistant, Justin Jeffryes and Stephanie Dollan, for assisting us with development and producing this book. The concluding chapter of this book contains essays from clinicians (Contributors) about their experience with the cranial nerves and we are grateful to them for the time they spent writing these amazing stories for us. Our families are much thanked for allowing us the two years we spent writing and editing this book. We are grateful to Dr. Fen-Li Chang and the Indiana University School of Medicine -Fort Wayne for hosting our meeting in Fort Wayne. We would like to thank the students we have taught and the teachers we have had for all they have done for our careers and for making us cherish learning and teaching human anatomy and its clinical relevance. Donald Black is thanked for his review of some of the initial chapters of this book. We would also like to thank Drs. Mark Hofmeyer, Blair Marshall, and David Pearle, MedStar Washington Hospital Center, who helped us appreciate the changes that the heart and esophagus undergo following transplantation in Chapter 10. Dr. Susan Stoddard provided some initial guidance in the development of this book and we appreciate her assistance. Drs. R. Shane Tubbs and Stephen W. Carmichael are thanked for discussions about the methodology involved in writing a textbook. We appreciate the help of Amy Finch with checking our text for inadvertent use of material from other sources. We are also incredibly grateful to our British copyeditor, Patricia Bateson, for improving this book way beyond our expectations. Finally, we thank our very capable and immensely helpful typesetter Revathy Kaliyamoorthy, SPi Global. + We are grateful to Jimma University for their financial support. We also acknowledge our study participants for providing the necessary information and the data collectors for collecting the data carefully. + The authors would like to thank their colleagues in the former Sonotweezers team at the Universities of Bristol, Glasgow and Southampton, UK. + This work was supported in part by NIH grant RO1NS062080 to AAH and by RO1 CA139217 to DAB. SB is supported by grants from the National Institutes of Health (RO1 CA149461), National Aeronautics and Space Administration (NNX13AI13G) and the Cancer Prevention and Research Institute of Texas (RP100644). This work was also supported by the Office of Medical Research, Departments of Veterans Affairs (RFS) and the National Institutes of Health (R01-DK63621, R01-CA134571 to RFS). + This work was supported under National Science Foundation grant with number 1229628. + The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the US Fish and Wildlife Service, the University of Pretoria, the Namibian Ministry of Environment, or the Peace Parks Foundation. + The authors thank W. Clark, J. Pearlman, J. Katzenstein, T. Peratt, and A. Wilson for stimulating discussion and reports of experimental results. This work was supported by the Defense Nuclear Agency. + This work was supported by the National Natural Science Foundation of China (81500213), the Natural Science Foundation of Sichuan Province, China (2013FZ0089), and Basic and Frontier Research Projects of Chongqing, China (tc2014jcyjA10017). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. + Paul Lesack (Data/GIS Analyst, University of British Columbia) is acknowledged for his remarkable artistic contributions and technical expertise in fulfiling our vision for the cover art associated with this manuscript: paul.lesack@ubc.ca. Dr Matthew Ramer is acknowledged for his extensive consultation regarding immunohistochemistry protocols. + The authors would like to thank the Rostron and Campion families and the Djelk Rangers in Arnhem Land. + The authors would like to thank Drs. C. Harwood. + Supported in part by the project TAMOP-4.2.2.A-11/1 KONYV-2012-0045 by the European Union, co-financed by the European Social Fund, and by a Bolyai Grant (AC). + We thank the following curators and museum collections who provided access to host bee specimens used in this study: Drs. James Liebherr (Cornell University. + This study was supported by Kadoorie Farm and Botanic Garden, Hong Kong. We are grateful to the management of Gaoligongshan National Nature Reserve, particularly the Tengchong Section, for permission to conduct fieldwork and logistics support. Special thanks to Mr. Xiang-Yuan Huang of the Nature Reserve in arranging the fieldwork; we also thank other staff and wardens of the Nature Reserve, as well as colleagues from KFBG and the Museum of Biology, Sun Yat-sen University who helped in the surveys; Prof. Yue-Zhao Wang of Chengdu Institute of Biology for permission to examine specimens of Leptolalax deposited at CIB; Jodi J.L. Rowley and two anonymous reviewers for their useful comments and suggestions. + We thank Martin Kapun and two anonymous reviewers for valuable comments on the manuscript. Many thanks to Gabriela Salinas and her team at the Transcriptome and Genome Analysis Laboratory (TAL) (University Medical Center Göttingen, UMG) for Illumina sequencing and supportive discussions. + This work has been supported by the NSF under Grant No. DMR-0703639. The author thanks E. M. Chudnovsky for useful discussions. + The authors sequence in this paper follows the "first-last-author-emphasis" norm. This research was funded by the MCINN of the Government of Spain through grants AGL2007-66716-C03-01/02 and AGL2010-21681-C03-01. + The authors would like to express their upmost gratitude to the faculties of Veterinary Medicine in both Universities of Damanhour and Kafrelsheikh who supported them throughout their study. Finally, the authors would like to express their deepest gratitude to all veterinarians and coworkers in the farms included in the study for their encouragement, patience, and support throughout the study. + Acknowledgments The study was supported by PsiOxus Therapeutics Ltd. The authors of this manuscript certify that they comply with the ethical guidelines for authorship and publishing in the Journal of Cachexia, Sarcopenia, and Muscle 2010;1:7-8 (von Haehling S, Morley JE, Coats AJ, and Anker SD). Conflict of interest Stefan D. Anker is a shareholder of, received support from, and is a consultant for PsiOxus Therapeutics Ltd. Andrew J.S. Coats is a shareholder of, received support from, and is a consultant for PsiOxus Therapeutics Ltd. and receives honoraria from CSL Biotherapies. Jochen Springer received support from and is a consultant for PsiOxus Therapeutics Ltd. John Beadle is a shareholder, employee, and board director of PsiOxus Therapeutics Ltd. Stefan D. Anker, John Beadle, Andrew J.S. Coats, and Jochen Springer have filed a patent on the use of espindolol in sarcopenia (WO002010125348A1). Anika Tschirner, Sandra Palus, Stephan von Haehling, and Wolfram Doehner report no conflict of interest. + The work was carried out as part of the research project Strengthening human resources for health: A study of health worker availability and performance in Tanzania (project number 171822/S50) funded by the Programme for Global Health and Vaccination Research (GLOBVAC) in the Research Council of Norway. The main funding of this particular work has been made available by the University of Bergen, Norway. We would like to thank all the health workers participating in the research as well as the hospital and district management for their collaboration and assistance. Marcell K. A. Amri provided invaluable help in the translation of the recorded material from Swahili to English. the research group "Global Health: Ethics, Economics and Culture" at the University of Bergen provided useful comments on an early draft of the article. The authors declare that they have no competing interests. + The authors would like to acknowledge Rosanne Harrigan, EdD, APRN-Rx, for her assistance with study concept and design. + We appreciate the statistical assistance of Dr. Gordon G. Brown from RTI International. None of the authors have potential conflicts of interest to disclose. This study was supported by G62024 Interdisciplinary Research Grant from the University of North Texas Health Science Center at Fort Worth. + The authors would like to acknowledge Ghazala Perveen for her work in designing and overseeing data collection for the Kansas Behavioral Risk Factor Surveillance System; Ginger Taylor + The authors are grateful to Agilent (now Keysight) Technologies and Microlease for their generous donations of hardware equipment and software computer-aided design tools in support of the research activities carried out at the Marconi Lab established and led by Professor Domenico Zito. This work was supported by the Science Foundation + This work was supported by a grant from the National Institutes of Health, NS 31271. The W.M. Keck Foundation and the Pasarow family provided some funding for mass spectrometer purchase. + The authors would like to thank Editage (www.editage.jp) for English language editing. + N.R. thanks A. Rowlinson, B. Metzger, R. Margutti, B. Zhang, S. Dall'Osso, A. Soderberg, R. Wijers, A. MacFayden + We thank Professor Nikolas Haass and Professor Brian Gabrielli for providing the melanoma cell lines, WM35 and SK-MEL-28. We also thank the anonymous referees for their helpful suggestions and comments. + This work was supported by a Nanyang Assistant Professorship. We thank the High Performance Computing Centre at Nanyang Technological University for computer resources. + Funding: Fermilab is operated by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy. I would like to express my gratitude to the many people I have consulted on the material to include in this review. First and foremost, I am eternally grateful to John Harvey, former leader of the software group at CERN, who initially asked me a few questions about the impact of simulation in experimental particle physics, eventually encouraged me to write this article, and was the first person to read and comment on a draft. I am also grateful to my Geant4 co-collaborators who built on previous Geant experience and developed + We thank Drs. Fred Bogott at Austin Medical Center, Austin of Minnesota, and D. Joshua Liao at Hormel Institute, University of Minnesota, Austin of Minnesota, USA, for their English editing of the manuscript. + This study was supported partly by National Natural Science Foundation of China (No. 81172495). Michael R. Hamblin was supported by US NIH grant R01AI050875. + We would like to thank the BYU Select Agent Archive for providing biological specimens. We thank the GW Colonial One computing cluster for compute time for these analyses. + Acknowledgements-The author would like to acknowledge the help and direction ofD. W. Collinson, A. Stephenson and D. K. Potter. The sample of Millbillillie was generously donated by Allan Langheinrich, of Lang's Fossils. Some ofthe equipment used (the computer controlled furnace) was built by A. Warren. The author is funded by a post-doctoral research grant from the S.E.R.C. Editorial handling: D. W. G. Sears. + Grant sponsor: National Institutes of Health; grant numbers: NIH Z01-HL004608-06 and NIH Z01-HL005062-04. We thank Victor J. Wright, William H. Schenke, and Laurie P. Grant for technical and clinical assistance, Peter Kellman for the development of the phased-array surface coil, and Smita Sampath for high-resolution inner-volume MRI. We also thank Christine Lorenz and Frank Sauer (Siemens Corporate Research, Princeton, USA), Johann Seissl, Marcus Pfister, Killmann Reinmar, Jan Boese and Klaus Klingenbeck-Regn (Siemens AG, Med AX, Forchheim, Germany). + The author is grateful to Professor Renato Lancellotta for his critical examination of this paper. + This work was partly performed in the frame of the following research projects: PHB 2003-0043-PC, financed by CAPES (Brazil) and MEC (Spain) and CGL2005-08219-C02/HID financed by I+D National Program on Biodiversity Earth Sciences and Global Change (CGL), subprogram HID of MEC (Spain). + Acknowledgments. This work was supported by grant MCT/CNPq/CT-INFO 551031/2007-7. + The authors thank the patients and their families who enrolled in this trial. We would like to acknowledge laboratory personnel who conducted all of the urine specimen preparation and shipment (for chlamydia, gonorrhea, and CMV sub-studies), Bonnie Ank, Mary Ann Hausner, and Jessica Liu. We also thank Marita McDonough and Lauren Petrella from Boehringer Ingelheim Pharmaceuticals and Helen Watson from GlaxoSmithKline (on behalf of ViiV Healthcare) for assistance with the donation of study drugs from their respective companies for the conduct of the parent study. + The authors are gratefully acknowledging the financial support of department of pharmacognosy, college of pharmacy, Hawler Medical University. + We thank Dr. Toshiteru Okubo (Chairperson of Industrial Health Foundation) for scientific advice on the conduct of the J-ECOH Study; and Rika Osawa (National Center for Global Health and Medicine) for administrative support. + The study was supported by the financial The National Council for Scientific and Technological Development (CNPq) (scholarship). This study was developed Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, Brazil (technical support) and CAPES (finantial support for printing). + The following reagents were obtained through the AIDS Reagent Program, Division of AIDS, NIAID, NIH: Human rIL-2 from Dr. Maurice Gately, Hoffmann -La Roche Inc. and SIVmac p27 Monoclonal Antibody (55-2F12) from Dr. Niels Pedersen. We thank the WNPRC Immunology Services and Virology Services for experimental assistant and members of the WNPRC Animal Care, SPI, and Pathology units for NHP care and experimental manipulation. We also thank Dr Roberto Bugarini of Pfizer Inc for reviewing the statistical analyses. + Acknowledgements. We thank the anonymous referees for their constructive criticisms, Régis Lachaume for the WFI observations, and Mara Salvato and Ivan Baldry for helpful discussions. Part of the funding for GROND (both hardware as well as personnel) was generously granted from the Leibniz-Prize to Prof. G. Hasinger (DFG grant HA 1850/28-1) + Study funded by a grant NR010711 (DeVito Dabbs, PI) from the National Institute of Nursing Research. + [42] Acknowledgments. This project was supported by NSF grants EAR-9417939 and EAR-9725371 (to E. L. Miller and T. A. Dumitru), Caltech postdoctoral fellowship to D. Stockli, and a Packard fellowship to K. Farley. We would like to thank E. Miller, M. McWilliams, J. Dilles, J. Oldow, and S. Klemperer for stimulating discussions and helpful insights, and B. Wernicke and P. Armstrong for improving the final version of the manuscript. + We thank members of the Hirano laboratory for critically reading the manuscript, A. Lehmann for his comments on Table 1 , and many colleagues in the field for stimulating discussions. Work in the authors' laboratories is supported by grants from the Spanish Ministry of Science and Education and Fundación Caja Madrid (to A.L.) and from the National Institutes of Health (to T.H.). + The authors wish to thank Dr. J. Kaufman (ASI, Israel) for spectral imaging support, Dr. E. Martini (University Maastricht, The Netherlands) for multi-color staining of sperm specimens, and S.Wienk (UMC Nijmegen, The Netherlands) for preparing and staining of cervical AgarCyto specimens. This work was supported in part by grant 97-1486 from the Dutch Cancer Society. + The authors acknowledge the financial support in general and instruments facilities by 1. Department of Science and TechnologyScience and Engineering Research Board (DST). + The authors would like to thank Zebin Xiao, Shihong Li, Dongfang Tang for for critically reviewing the manuscript. + We thank Professor Patrick Hogan (La Jolla Institute for Allergy and Immunology, San Diego) for useful discussions on the manuscript, Balaji Ramalingam for MATLAB codes, Dhruv Raina (inStem) for help with MATLAB analysis of particle intensities, Dr Richa Rikhy (IISER, Pune) for fly strains, NCBS Central Imaging and Flow cytometry Facility (CIFF) for confocal and super-resolution imaging, Suparno Gupta for help with SIM imaging and the Fly Facility, NCBS for generating transgenic fly lines. B.K.D. and T.P. are supported by research fellowships from the Council of Scientific and Industrial research (CSIR), Government of India. This research was funded by core grants from NCBS, TIFR. + We thank Y Cai, F Diaz-Benjumea, C Doe, M Noll, G Mardon, T Shirangi, and S Thor for fly strains. We thank S Carroll, C Doe, J Skeath, U Walldorf, and E Wieschaus for antibodies. We are grateful to G Rubin for split-GAL4 strains and B Dickson, T Lee, and B Pfeiffer for sharing reagents before publication. We thank D Miller, C Robinett, M Texada, I Siwanowicz and J Etheredge for helpful comments on this manuscript. We are indebted to T Laverty, K Hibbard, A Cavallaro and the Janelia Fly Core for fly husbandry, and A Howard for administrative support. This research is supported by HHMI. + We are grateful R. Brinkmann + We are grateful to members of the Immunobiology of Inflammation lab for discussions and Carlos Ardavín for critical reading of the manuscript. We thank the CNIC Cellomics + All praise and gratitude is to Allah. We also would like to thank everyone who gave us hand in writing this article. + The authors are thankful to the Director, ICAR National Dairy Research Institute (Karnal, Haryana, India), the Registrar, Haryana Veterinary Council (Panchkula, Haryana, India), and Deputy Director, Intensive Cattle Project (Karnal, Haryana, India) for providing the necessary facilities to conduct this research work. The authors did not receive any external fund for this study. + [14] Acknowledgments. We are grateful to T. Yasunari of the Frontier Research Center for Global Change for discussing our study. The reanalysis data was provided by the National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR). AMeDAS and typhoon track data are provided by the Japan Meteorological Agency (JMA). This work was also supported by a Grantin-Aid for Scientific Research (17310003) by the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan. + We thank Jianling Deng and Jiang Jiang for their exceptional technical assistance. + This work was supported by grants from the Department of Defense and National Cancer Institute (W81XWH-10-1-0289 and 5R21CA173190-02 to C. Crum). The authors thank the Division of Gynecologic Oncology at Brigham and Women's Hospital and Dana Farber Cancer Institute for their contribution to the study, and Mei Zheng for assistance with the immunohistochemistry. We are also grateful for the support of this work by the Genome Institute of Singapore of the Agency for Science, Technology and Research and Bedside and Bench Grant from Singapore National Medical Research Council. + The authors would like to acknowledge managerial support from Brian MacIver, (U.S. Army Edgewood Chemical Biological Center; Aberdeen Proving Ground, MD), and James Horton, Lucille Forrest, and William Adams (U.S. Army Chemical Materials Activity; Aberdeen Proving Ground, MD). The authors are grateful for useful discussions with W. Venner Saul (Sandia National Laboratories; Albuquerque, NM). + HMGB1 research in the authors' laboratories is supported by the Karolinska University Hospital, the Karolinska Institutet, and the Swedish Research Council (U. Andersson) and by the National Institutes of General Medical Sciences (K.J. Tracey). + The authors thank the following staff who participated in this trial. + The authors would like to thank all the patients who have participated in the UKPSSR and the cardiovascular risks substudy. + We thank Elisabeth Dirnberger, Manuel Magerle, Orsolya Rajky, Benjamin Prascher and Cansu Ilhan for excellent technical assistance. The costs for this project were covered by the research budget of the Medical University of Vienna and the grants "Initiative Krebsforschung" with the project title "Tumorimmunologie von Hirnmetastasen" and "Hochschuljubul€ aumsstiftung" with the project title "Das Immunsystem im Kampf gegen Krebs." BM, GB, AB and the work were supported by grants from the National Cancer Institute of France (INCa), INSERM, the Cancer research for personalized medicine (CARPEM), Paris Alliance of Cancer Research Institutes (PACRI), and the LabEx Immuno-oncology. + This study was supported by Polish Scientific Research Committee, PB-0297-P4-92-03. + We thank INVEMAR's researchers, especially Efraín Viloria, Diana Bustos and Myriam Vargas, for providing outstanding support for this research. Special thanks to Diana Bustos, Michael Ahrens and Guillermo Rudas for their valuable support for the indicators' design. Guiying Li was generous to generate a map of the area for us, we are grateful to her. We appreciate very much the comments from Mauricio José Cortes, Luz Karine Ardila and Camilo José Torres on an early version of this manuscript. We are grateful to CGSM fishers, in particular fishers from Tasajera, without whose help this research would not have been possible. We would like to express our gratitude to INVEMAR's field assistants in CGSM, in particular Vladimir Carbonó for his valuable and constant support. Likewise, we want to thank Rubén Vásquez and Alexander Acuña for all of their assistance in the field when we conducted the survey. Special recognition is given to Mabelin Villareal and Dora Suárez for their statistical support. We value the editing work done by Joanna Broderick and Jim McMillan. + This work is supported by the Spanish Ministerio de Educacion y Cultura research grant. + This work was supported by grants from the National Space Biomedical Research Institute (NASA NCC 9-58, MA02701, and PF04101), from the National Aeronautics and Space Administration (NASA; NNX11AR02G) and NASA Flight Analogs Project, and the National Institutes of Health, and National Center for Advancing Translational Sciences, 1UL1RR029876-01 and NIH P41 EB015902. We thank J. Krauhs and M.J. Rosenberg for editorial assistance. + We thank useful discussions with Sebastiano de Franciscis and Samuel Johnson. + The Public Health Agency of Canada and Health Canada funded Cycle 6 of the Health Behaviour in School-Aged Children Survey in Canada. Additional support for this analysis included an operating grant from the Canadian Institutes of Health Research (CIHR Grant FRN-130379).The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. International coordinator of the HBSC survey is Dr. Candace Currie, University of St. Andrews, Scotland. The international databank manager is Dr. Oddrun Samdal, University of Bergen, Norway. The Canadian principal investigators of HBSC are Drs. John Freeman and William Pickett, Queen's University, and its national coordinator is Matthew King. + We are grateful to Steffen Frey for sharing plasmids and protein preparations. We thank Jürgen Schünemann for preparative HPLC purification of FG domains, as well as for performing the hexanediol experiment ( Figure 12 ) and additional experiments requested by reviewers. We further thank Kevser Gencalp for bacteria with expressed insoluble actin, Indronil Chaudhuri for purified human Importin β, Michael Ridders for the yeast Importin β and Koray Kirli for the transportin expression constructs, Bastian Hülsmann and Steffen Frey for critical reading of the manuscript, as well as the Max-Planck-Gesellschaft for funding. + This work was supported by China's NSFC grants (81027004, 81372082, 30571922) to JW and GL, "863" grants (2012AA020504) to JW. Also we sincerely thank Jianjie Ma for selfless assistance to this work. + We would like to thank R Stillion and the Kennedy Institute of Rheumatology histology department for histology, and the staff of our animal houses for their assistance; S Kirchberger, M Hü hn, A Hegazy, A Chauveau, and T Arnon for technical advice and discussion; C Lagerholm and the Wolfson Imaging Centre for microscopy assistance; B Owens and C Arancibia for critically reading the manuscript; W Ouyang (Genentech) for the blocking anti-IL-22 antibody and isotype controls; UCB Celltech for providing the blocking anti-IL-17 antibody; D Cua (Merck) for providing the blocking anti-IL-23R antibody. We acknowledge the contribution to this study made by the Oxford Centre for Histopathology Research and the Oxford Radcliffe Biobank, which are supported by the NIHR Oxford Biomedical Research Centre. We would like to thank all patients and investigators who contributed to the Oxford IBD cohort study and the Oxford GI Biobank. + Acknowledgments. This work has been supported by Project MTM2008-03010 of the Spanish Ministry of Science and Innovation and the IAP network StUDyS (Developing crucial Statistical methods for Understanding major complex Dynamic Systems in natural, biomedical and social sciences) of the Belgian Science Policy. + Yuval Mazor would like to thank Ofer Rog for critically reading the manuscript. The authors would like to thank the ESRF, SLS and BESSYII synchrotrons for beam time and the staff scientists for excellent guide and assistance. + The research of the second author was partially supported by FONDECYT 1080015 and CONICYT ACT 56. This author also extends her thanks to the Department of Mathematics and Computer Science of Wesleyan University for their hospitality during her visits funded by the Van Vleck Research Fund. The third author would like to thank Universidad de Talca in Chile for their generous hospitality during three visits in 2009. The authors thank Roberto Miatello and Takao Watanabe for their helpful comments and discussion. + We would like to thank David Hines of the Johns Hopkins University Rheumatic Disease Research Core Center for technical contributions in performing the PAD-4 immunoprecipitations, as well as Kristin Braschler for her work in sample processing for antibody tests at the University of Colorado Division of Rheumatology Clinical Research Laboratory. + The authors acknowledge the financial support by Kazato Foundation, Japan and the material supply from Nikko Metals Co. Ltd. Japan. + Kathleen McGarry gratefully acknowledges financial support from the National Institute of Aging. Comments by Alan Auerbach, Jim Poterba, conference participants, and an anonymous referee are greatly appreciated. + This work was supported by Deutsche Forschungsgemeinschaft within the Center for Functional Nanostructures. + This work was supported in part by the RFBR grants 14-02-93960, 16-02-00693. This work was performed in part within the framework of the Center Fundamental Research and Particle Physics supported by MEPhI Academic Excellence Project (contract № 02.а03.21.0005, 27.08.2013). + Acknowledgments. We thank Thomas Sturm for advise in using redlog. + This study was supported by the 'Research Program for Agricultural Science & Technology Development (project no. PJ011248)' of the National Institute of Agricultural Science, Rural Development Administration, Republic of Korea. The authors would like to thank Heather Walker of the National Center for Agricultural Utilization Research, Peoria, IL, USA for expert technical assistance. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the US Department of Agriculture. The mention of firm names or trade products does not imply that they are endorsed or recommended by the USDA over other firms or similar products not mentioned. USDA is an equal opportunity provider and employer. + This study was supported by a grant (ARC DP0211698) to B. Gillam. + We wish to thank M. Carena + The authors thank Ke Li for creating the figures. We acknowledge the modeling groups, the Program for Climate Model + We thank Southwest University (SWUB2006018, XSGX0602 and SWUF2007023) and the Natural Science Foundation of Chongqing (2007BB5369) for financial support. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: LH5016). + Research for providing mobile laboratory data. Thank you to CDPHE for providing surface O 3 data. The authors gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the HYSPLIT transport and dispersion model used in this publication. The reviewers of the manuscript provided detailed and insightful comments that significantly improved the manuscript. + [56] Acknowledgments. Satellite data were taken from the v1.0 LIS/OTD gridded climatology provided by the Global Hydrology Resource Center, NASA, USA. The CIGRE-500 lightning flash counter registration data were provided by the Observations and Engineering Branch, Australian Bureau of Meteorology. The calibrations of CIGRE-500 lightning flash counter installations were carried out using funds provided to the University of Queensland by several members of the Energy Supply Association of Australia. The analyses of both CIGRE 500 and CGR3 LFCs were also supported by Lightning and Transient Protection Pty Ltd. G. de Hoedt and S. Chitty, National Climate Centre, Australian Bureau of Meteorology, helped with the mapping process. + Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. + Syracuse, New York USA doi:10.7863/ultra.32.6.1063 + This work was supported by National Natural Science Foundation of China (No. 31270952, 81102217). + This work was financially supported by the National Natural Science Foundation (31370700), National Natural Science Youth Fund Project (41301096). + We are grateful to Axelle Grelard for assistance and help with NMR and Bernard Desbat for discussions with respect to ATR (Universite´Bordeaux 1-ENITAB, France). Go¨ran Lindblom, Lennart Johansson and Eric Rosenbaum are thanked for all their support (Umea University). This work was supported by Knut and Alice Wallenberg Foundation, Swedish Research Council, Umea University Biotechnology Fund and the Centre National de la Recherche Scientifique (CNRS). The Aquitaine region is acknowledged for providing funding for equipment. the Universities of Bordeaux 1 and Umea are acknowledged for setting up a co-tutoring PhD program. + We thank Pierre Demarque, Terrence Girard, and William van Altena for helpful comments on the manuscript. We are grateful to Tim de Zeeuw and Jos de Bruijne for their quick check of our findings in the nearby OB association database. We also thank Jean-Claude Mermilliod for sharing the radial velocity data prior to their publication. This study has been supported in part by grants from the National Science Foundation to Yale University and the Yale Southern Observatory, Inc. This research has made use of the Simbad database operated at CDS, Strasbourg, France. + The authors thank Dr St. N aef-Roth for his kindness in donating a sample of lycomarasmin, Mr A. C. Glenday for statistical analysis, and Mrs M. E. Carruthers for painstaking assistance. + I would like to acknowledge my collaborators in much of this work. They are (in alphabetical order) Okkie De Jager, Sheldon Glashow, Matthew Malkan and Michael Salamon. + The authors gratefully thank to the financial support from the National Basic Research Program (2004 CB 117504) and Beijing Key Technologies of R & D Program Fund. + The authors thank Professor Peter Klü fers for generous allocation of diffractometer time. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: DS2011). + The authors would like to thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES-Brazil) and Conselho Nacional de Pesquisa (CNPq-Brazil) for financial support and all volunteers for their participation in this project. + This investigation was supported in part by the Research Project Grant of the Kawasaki Medical School (50-505 and 51-508). + We thank Jeannine Rampal for her generous donation of the "Precious Samples", the Service d'Observation Rade de Villefranche and the Service d'Observation en Milieu Littoral (SOMLIT/ CNRS-INSU) for their kind permission to use the Point B data. We thank Aradhna Tripati (UCLA) for her input in the early stage of this study and Kristina Wilson, Vanessa Brillo, and Tanya Conchas (UCLA) for assistance with CT scanning. We also thank Rebecca Rudolph and Javier Santillan (GE technologies) and Jeremy Boyce (UCLA) for assistance with CT project design and data analysis. RAE acknowledges support from National Science Foundation grant OCE-1437166. We also thank the Service National d'Analyse des Paramètres Océaniques du CO 2 for performing the analyses of the carbonate system. Sabine Gerber and Archishman Sarkar for their help in the lab and Jean-Olivier Irisson and Caroline Assailly for their work on pH hindcasting. This work is a contribution to the European Union, Framework 7 'Mediterranean Sea Acidification under a changing climate' project (MedSeA; grant agreement 265103). + The authors would like to thank Dr. Hiroyuki Yamamoto (JAMSTEC) who served as the chief scientist of research cruise KR15-17. The authors greatly appreciate the tireless support from the captain and crew members of R/V Kairei, the technical team of ROV Kaiko, as well as all scientists on-board during the research cruise. + The authors also would like to thank physicians, other staff, and the participants of the current study. + We thank Julia Föcker for providing us with the paradigm. We are grateful to all participants for taking part in the study and to Dr. Angelika Illg, for her help in recruiting CI users. + The author acknowledges the support by the Generalitat Valenciana (GV) through the MoEDAL supporting agreement CON.21.2017-09.02.03 and by the Spanish MINEICO under the project FPA2015-65652-C4-1-R. This work is also supported by the Severo Ochoa Excellence Centre Project SEV-2014-0398. + Support of this work by the Deutsche Forschungsgemeinschaft and the Fonds der Chemischen Industrie is gratefully acknowledged. + This research was funded by grants R43CA150496-01 and R44CA132347-02 from the National Cancer Institute, as well as grant #RSGT-10-082-01-CPHPS from the American Cancer Society. The views stated in this publication are those of the authors and do not necessarily represent the official views of the NCI and ACS. + This research was financed by the European Union as ACE project P98-1082R. We like to thank all participants of this project for their help and their stimulating comments on conferences in Tallinn, Poznan, and Groningen. Part of this research was done while De Haan was visiting scholar at the Netherlands Bank. + The authors would like to thank the Kyushu Branch of the Japan Allergy Foundation. + We thank Dr. G. Heymann for collecting the single-crystal data. This work was financially supported by the Deutsche Forschungsgemeinschaft (HU 966/2-3) and the Fonds der Chemischen Industrie. + The authors are grateful to Dr Sara Davies and two anonymous reviewers for valuable comments on an earlier version of this paper. John Bachtler acknowledges support from the EoRPA Consortium (see Footnote 1) and the contributions to the EoRPA research from colleagues at the European Policies Research Centre. Iain Begg acknowledges support from the Firstrun project funded under the European Commission's Horizon 2020 programme (grant 649261). The usual disclaimer applies. + We thank Caroline Simpson for editing this manuscript and two anymous reviewers for the helpful suggestions. Jan Klimaszewski (NRCan, CFS -Laurentian Forestry Centre, Ste-Foy, Quebec), Greg Pohl, and David Langor (NRCan, CFS -Northern Forestry Centre, Edmonton, Alberta) revised the first draft of this manuscript and provided very useful comments. Anthony Davies (Agriculture and Agri-Food Canada (CNC), Ottawa) is thanked for supplying records, determining specimens, and other assistance with this project. We thank Stephen Clayden and David Malloch (New Brunswick Museum) for assistance with determining mushroom species. Nichole Brawn, Katie Burgess, Jim Edsall, Marie-Andrée Giguère, Aaron Fairweather, Graham Forbes, Nancy Harn, Cory Hughes, Rob Johns, Ervin Kovacs, Marsell Laity, Colin MacKay, Wayne MacKay, Jessica Price, Michelle Roy, Martin Turgeon, and Vincent Webster are thanked for technical assistance and collecting specimens. Martin Turgeon is thanked for assistance in locating collecting sites in northwestern New Brunswick. We thank Natural Resources Canada Canadian Forest Service; the Canadian Food Inspection Agency; and USDA APHIS for funding the Lindgren funnel trapping component of this study. The Canadian Wildlife Service is thanked for funding insect surveys at the Shepody National Wildlife Area, the New Brunswick Environmental Trust Fund. + The paper was supported by National Science Foundation of China (NSFC 61473236), and Jiangsu University Natural Science Research Programme (14KJB520037). + [46] Acknowledgments. This work was supported in part by grants from the NSF Atmospheric Chemistry Program, NSF grant Atm-0002698, and the NASA GTE and ACMAP programs. The work at NCAR was supported by Electric Power Research Institute (EPRI), grant P-2044. We would like to thank Gakuji Kurata for his support in the analysis and thank James Schauer and Chris Babiarz for their providing Hg data for Gosan. + We would like acknowledge Dr. Vazhaikkurichi Rajendran in the Biochemistry Department at West Virginia University for the assistance and expertise during the CRLS activity assay experimentation. + Acknowledgments. We acknowledge the international modeling groups for providing their data for analysis. + We thank Ing-Marie Nilsson, Margareta Verdrengh and Lena Svensson for excellent technical assistance. This work was supported by grants from the Gothenburg Medical Society, the Swedish Association against Rheumatism, the King Gustaf V 80 Years Foundation, the Nanna Svartz Foundation, the Swedish Medical Research Council, the Börje Dahlin Foundation, the University of Gothenburg, and the A-G Crafoord Foundation. + This work stems, in part, from the work conducted during my Master's thesis at South Dakota School of Mines & Technology, and as such I would like to thank the people and institutions which helped facilitate its completion. Firstly, Master's committee members Dr. Darrin Pagnac (major advisor), and Dr. Clint Boyd. Secondly, the following people provided access to, and assistance with, the specimens examined during the course of this study: + RHN acknowledges financial support from Swedish Research Council of Environment, Agricultural Sciences, and Spatial Planning (FORMAS, 215-2011-498). + We are grateful for support from the Wellcome Trust and the Muscular Dystrophy Group of Great Britain. + Acknowledgements NJD would like to acknowledge support from the Leukemia Lymphoma Society and the National Institutes of Health. + Support for this study was provided by the National Institute on Drug Abuse (Rockville, MD) R01 DA015434 (Shelly Greenfield) and K24 DA019855 (Shelly Greenfield). p < .001 Note: The Rate/hour summary data for WRG and GDC are based on unadjusted means. The Adjusted Relative Rate of statements controls for the number of participants in group and the therapist. + The author is indebted to all those who contributed observations, and to Mr. A. Corder for the photographs. + We would like to thank Victoria Rich and Poppy Bass of the Hospital of the University of Pennsylvania and Erin Sparnon from ECRI for their help. Without the assistance of domain experts and clinical practitioners this work would not have been possible. + Acknowledgment. The authors would like to thank Sriram Sankaranarayanan, Enea Zaffanella and anonymous reviewers for their valuable comments on an earlier draft of this work. + Funding NIH (SL) -NICHD HD072929 and Dr Henry C and Bertha H Buswell Fellowship grant (PC). + This study was supported by a grant of the Korea Healthcare Technology R & D Project, Ministry for Health and Welfare, Republic of Korea (HI10C2020). + ACKNOWLEDGEMENTS Sasa Savic would like to thank Victoria University for offering the Research Training Scheme (RTS) for his PhD study. + This work benefited from an Action de Recherche Concertée of the Communauté française de Belgique. + This work was supported in part by the Helsinki University Central Hospital and the Finnish Academy of Sciences. + We thank Richard Butler for his support on the confocal imaging analysis, Charles Bradshaw for bioinformatic support, Todd S Macfarlan and Samuel L Pfaff for the 2C::tdTomato ESCs. We also thank members of the Surani lab for their critical input and helpful discussions on this project. The work was funded by a studentship to YH from the James Baird Fund, University of Cambridge, by the DGIST Start-up Fund of the Ministry of Science, ICT and Future Planning to JKK, by a core grant from EMBL and CRUK to JCM, by a Wellcome Trust Senior Investigator Award to MAS, and by a core grant from the Wellcome Trust and Cancer Research UK to the Gurdon Institute. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + The authors would like to thank Erik Wong for his advice and input with statistical analysis. The authors would also like to thank GPs and patients who took part in the project. Stewart Mercer was supported by a Senior Primary Care Researcher Fellowship from the Chief Scientist Office (CSO) of the Scottish Government during the undertaking of this project. + We would like to thank Dr Lisa Fazio for polysomnographic data acquisition. This work was supported in part by the Swiss National Science Foundation (#PP00P2-123438, DVDV) and in part by the CIBM (JR). + The authors would like to thank Valentin Lang for his contributions to early drafts of this chapter, and Friederike Rühmann for her valuable background research. + The authors acknowledge the support of the Economic and Social Research Council (ESRC) (grant number RES-062-23-2745). The authors also acknowledge the support of the Nuffield Foundation for grant numbers AT251 [OD], DIR/28, EDU 8366 and EDU 32083, and the Wellcome Trust for grant numbers 060774, which supported the data collection of the Manchester Language Study. The authors thank all the families who have participated in the study and the research assistants who helped with data collection. + The authors would like to acknowledge the support of Science Foundation Ireland (SFI) in funding this work through a research project ITOBO (398-CRP). + The authors would like to thank Drs. Wesley Gruber, N Carolyn Schanen and David Sulzer for helpful discussions. Additionally, the authors would like to thank Drs. Vernice Jackson-Lewis, Nikolai Kholodilov, and Mikako Sakurai for technical assistance, and the RLPDRD staff for administrative support. + Laura Hosman is an Assistant Professor at Illinois Institute of Technology, in the Department of Social Sciences. She was recently a Ciriacy-Wantrup Postdoctoral Fellow in Natural Resource Economics and Political Economy at the University of California, Berkeley. Her work focuses on sustainable development issues, particularly in the areas of information and communications technology (ICT) and natural resources. Her work can be found in various disciplinary and multidisciplinary journals. + We thank Ludovic Cacheux for help with imaging experiments and data analysis, Dmitri Bryzgalov and Simon Daste for help with data analysis, Yves Dupraz for his work on the in vivo imaging set-up, and Jérémie Teillon and Philippe Mailly for help with imaging and imaging data pre-processing. We thank Kevin Bolding, Thomas Preat, Andreas Schaefer, German Sumbre and Jonathan Touboul for critical comments of the manuscript. This work was supported by a Marie Curie International Reintegration grant (IRG 276869), and the 'Amorç age de jeunes é quipes' program (AJE201106) of the Fondation pour la Recherche Médicale (to AF), an EMBO short term fellowship (ASTF 395-2014) and a postdoctoral fellowship by the LabEx 'MemoLife' (to BR), by grants from the NIDCD (DC009839 and DC015525) to KMF), grants from the Agence Nationale pour la Recherche (ANR 'SENSEMAKER'), the Marie Curie Program (CIG 334581), and the International Human Frontier Science Program Organization (CDA-0064-2015) (to BB). Fondation pour la Recherche Médicale + This work was supported by National Institutes of Health Grant 2RO1-GM061893 to DJS. and US National Science Foundation Grant no.1050602 from the Division of Molecular and Cellular Biosciences to KI LGLR is a recipient of a Postdoctoral Fellowship from the Natural Sciences and Engineering Research Council of Canada. We would like to thank Joshua Endow for providing expert technical assistance, and Dr. Takehito Inaba for providing the atToc75 antisera. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + Acknowledgments The authors would like to thank Ministry of Science and Technology of the Republic of China, Taiwan, for financial support (103-2511-S-008-009-MY3, 101-2511-S-008-016-MY3, 103-2811-S-008-001), and Research Center for Science and Technology for Learning, National Central University, Taiwan. The authors would also like to thank Winston M.C. Wu, Yi-ju Lin, Tzu-Chao Chien, Chih-Ting Chang, and Po-Shu Chen for their assistance during the data collection processes. + We express our sincere gratitude to Shawi community members in Balsapuerto district including authorities and research assistants for guiding us through their territory and nuances of Validation: Guillermo Lancha. + We are grateful to the Director CSIR-CDRI for providing excellent research facilities at Central Drug Research Institute, Lucknow. Ministry of Earth Sciences, Government of India, New Delhi is acknowledged for financial support. One of the authors (VL) is thankful to the Head-HRDG-CSIR for financial support in the form of Emeritus Scientistship, which enabled to compile the research work. The authors also wish to thank to Dr. M. N. Srivastava, Scientist, Central Drug Research Institute, Lucknow, India for collection of the marine samples. + The skillful technical assistance of M. Fernandez and the expertise of A. Castro (SAI, Universidade da Coruña, Spain) in overall electron microscopy methodology are gratefully acknowledged. We also wish to thank I. Lasa (Instituto de Agrobiotecnolog ıa-CSIC-Universidad Publica de Navarra, Spain) for kindly providing S. aureus 132, S. aureus 132 Dspa and pMAD vector. Additionally, we thank T.J. Foster (Trinity College Dublin, Ireland) for E. coli DH10b, F. DeLeo (National Institute of Allergy and Infectious Diseases, USA) for S. aureus FPR3757-USA300 LAC and J.R. Fitzgerald (University of Edinburgh, Scotland, UK) for S. aureus RF122, ED133 and ED98. + We are rateful to Dr T S Sheu for providing Sc-and In-sta%ilized zirconia a n f to Mr. T.Y. Sya; for performing Auger microanalysis. + This research was supported by the Natural Science Foundation of P. R. China (No.51075192), National key projects of P. R. China (2013ZX04009031) and A Project Funded by the Suzhou City key laboratory of elevator safety technology. + We thank Zorka Papadopolos for many helpful discussions. + Editor and a referee, which significantly improved the final presentation of the paper. The authors gratefully acknowledge the very careful reading of the manuscript by an Associate + We thank Anoop R. Damodaran and Robert B. Gennis for helpful comments and critics on the manuscript. We also thank Parisa Hosseinzadeh, Madeline R. Sponholtz and Sudharsan Dwaraknath for help with various aspects of data collection and analysis. We thank Stanford Synchrotron Radiation Lightsource and Stanford Linear Accelerator for use of their facilities. This material is based upon work supported by the U.S. National Institutes of Health under Award NIH R01GM06211 (to Y.L.), NIH R01GM074785 (to P.M.L.) and U.S. National Science Foundation Award NSF CHE-1300912 (to Y.Z.). + We thank all the patients for their participation in this study. + AAM and CNR wrote the paper. AAM was supported for this work by a Clinician Scientist Award from the Johns Hopkins University School of Medicine. CNR was supported for this work by the American Society for Hematology Scholars Award, and NIH grant DK082722. The authors would also like to thank the members of the Partnership for Anaemia Clinical and Translational Trials in the Elderly (PACTTE) for their leadership and thoughtful discussions in regard to the problem of unexplained anaemia. + We acknowledge Andrea Martin, Jonathan Cook, and Kai-Ting Huang, and our study participants for their assistance in the research. This research has been funded in part by the University of Washington Innovation Research Award, the Intel Science and Technology Center for Pervasive Computing, Nokia Research. + This work was partially supported by JSPS KAKENHI Grant nos. 23-8189 and 25293258, and the research fund by Varian Medical Systems, Palo Alto, CA, USA. The authors gratefully acknowledge their research funding. Also, the authors thank Dr. Shirato and his colleagues at Hokkaido University Hospital for sharing the data sets of tumor motion with them. + This study was supported by a grant from the Donald W. Reynolds Foundation Program for Geriatric Training Initiatives. The investigators retained full independence in the conduct of this research. + We would like to thank the doctors who par ticipated in this study and Fiona MacKay of Lundbeck who, as an educational service to psychiatry, sponsored the meetings at which these sessions took place. + We express our sincere gratitude to Drs J.A . Holtet, O. Orheim, Y. Ohta, and Messrs T. Siggerud and Kunut of the Norsk Polarinstitutt for their cooperation in our field work. Our particular thanks are due to Professor S. Kobayashi of Niigata University, the chairman of the Arctic Research Committee of the Japanese Society of Snow and Ice, for his help in organizing the project. This research was supported financially by a grant-in-aid for overseas scientific research of the Japanese Ministry of Education, Culture and Science. + We thank Dr Manfred Blessing for providing the keratin-10 promoter. We are grateful to Dr T.Saunders for microinjection, Dr T.He for analyzing the EGFR protein, J.Wang and Dr Z.Q.Wang for technical advice on in situ hybridization experiments, Dr Craig Hammerberg for helpful discussions, and L.Van Goor for illustrations. J.-H.X. is a recipient of a Career Development Award from the Dermatology Foundation. This work was supported in part by a research grant from Johnson & Johnson Company. + The authors thank Onur AKI and Merve UNAL for the support they gave in the laboratory studies. + We hope that this special issue helps to provide a better understanding of the advances on the telematics engineering area. Concluding the editorial for this special issue, we would like to thank all the authors for their efforts in the elaboration of the papers , as well as the reviewers for their timely, comprehensive and constructive reviews. + This work was supported by a grant from the E.U. + I thank Beth Mantle, Robyn Meier and Cate Lemann (ANIC), Peter Lillywhite (NMV) and Owen Seeman (QM) for assistance, registrations and the loan of specimens, and Kate Sparks (SAM) for registrations. SEM images were acquired with the help of Karsten Goemann (Central Science Laboratory, University of Tasmania). Robert and Jenni Henzell very kindly provided access to their private forest at Uraidla, SA. Valuable suggestions for improvement were made by reviewers Sergei Golovatch and Nguyen Duc Anh. Field trips and laboratory studies were funded by the author. + The authors thank Ms Grace Kelly for support in scoring analysis of TMAs by SlidePath image software (SlidePath Ltd, Dublin, Ireland). The authors also thank Ms Jennifer Cvitanovic from LCRC Biospecimen core for providing human PCa tissue sections and serum samples. + The authors would like to thank their colleagues at General Dynamics UK for their assistance in data capture for this study. + Acknowledgements. This study was supported by the Norwegian Cancer Society, Norske Kvinners Sanitetsforening, The Association pour la Recherche contre le Cancer, The Fondation de France, Cent pour Sang la Vie, Marie-Curie Actions and by Aurora program. The expert technical assistance of Nina Lied Larsen, Khanh K. Dao, Sjur Huseby, Siri Strømsøy, Lene Vikebø and Mihaela Popa is highly appreciated. + We thank Marion Kaulfuss for her assistance in algae cultivation and determination of growth rates, Norbert Walz, Jan Köhler and Tom Shatwell for their help, and the Deutsche Forschungs gemeinschaft for financial support (STE 673/10-1). + The authors received financial support from the National Institutes of Health through grants R01HL092158 (FJW), R01ES015330 (FJW), and R01HL094641 (RHN). The NIH had no role in the design and conduct of the study, in the collection, analysis, and interpretation of the data, and in the preparation, review, or approval of the manuscript. + We thank Jemima Whyte and Silvia Velasco for help during undergraduate research projects in part supported by Wellcome Trust Vacation Scholarship. Research in G.N.W., A.M., and T.D.'s lab is funded by NERC, the Wellcome Trust, the BBSRC, and an FP6 NoE grant (MYORES). + We thank Dr. Sung Wook Park for help with the animal experiments. + This study was supported by the Medium-and Long-term Scientific Study Projects for Young Teachers of Beijing Forestry University (grant no. 2015ZCQ-BH-03 to Lei Xie), the National Natural Science Foundation of China (grant no. 31670207) and the Beijing Natural Science Foundation (grant no. 5182016). + This study was completed without external funding and relies entirely on publicly available data. Without the open access policies adopted by journals and Research Councils over recent years, this study would not have been possible. Moreover, open source initiatives such as the R Project, TCGA, cBioPortal, Protein Atlas and GenePattern/GSEAPreranked this study would have been impossible. The authors are grateful to all those involved in the aforementioned initiatives and all patients who elected to share their data with the community. The Wellcome Trust funds OBH and Cancer Research UK funds JWC, although no funding was sought for this study. + We are indebted to R. H. Hansen (Clarendon Laboratory) for invaluable advice and assistance. We thank N. Soffe and J. Boyd (OCMS) for assistance with implementing the NMR pulse sequences. We are grateful to A. Ekert (Clarendon Laboratory) and R. Jozsa (University of Plymouth) for helpful conversations. JAJ thanks C. M. Dobson (OCMS) for his encouragement and support. This is a contribution from the Oxford Centre for Molecular Sciences which is supported by the UK EPSRC, BBSRC and MRC. MM thanks CESG (UK) for their support. + We thank V.A. Khoze and B.R. Webber for valuable discussions concerning parts of this analysis. We particularly wish to thank the SL Division for the excellent start-up and performance of the LEP accelerator in the data taking run at centre-of-mass energies of 130-140 GeV and for their continuing close cooperation with our experimental group. In addition to the support sta at our own institutions we are pleased to acknowledge the + This research has made use of the GOLD Mine Database and of the NASA/IPAC Extragalactic Database (NED) which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. The authors thank L. Cortese for helpful comments. + We would like to thank Andy Johnson of the UBC FACS Facility for assistance with cell sorting and Meaghan Jones for providing us with an optimized protocol for bisulfite sequencing of the pCAGGS promoter. + The authors thank Tatsuki Sakuma, RPT, Kotoe Kinoshita, RPT, and Seigo Inoue, RPT, at Tokyo Bay Rehabilitation Hospital for their help and support. This work was supported by JSPS KAKENHI Grant no. JP16J07949 to Kazuaki Oyake and a grant from Funds for a Grant-in-Aid for Young Scientists (B) (15K16370) to Tomofumi Yamaguchi. + The author is indebted to Professor C. H. Li, University of California, U. S. A., for his generous gift of purified bGH. The author is grateful to National Institute of Arthritis, Metabolism, and Digestive Diseases, U. S. A., for providing purified pituitary hormones, to Tanabe Phramaceutical Co. Ltd., Osaka, for their gift of synthetic TRH, and Dr. A. Takagi, Dinabot Radioisotope Laboratory, Tokyo, for supplying T3 RIA kits. The author wishes to thank Dr. S. Honjo, National Institute of Health, Tokyo, for providing facilities and helpfulness for making monkey antisera to bGH and Dr. K. Hodate for his valuable assistance. + We thank Boon Chong Goh for rendering the capsid assembly in an immature virion and helpful discussions, Klaus Schulten for continuous support and enlightening conversations, Chris Aiken, Peijun Zhang and all members of the Pittsburgh Center for HIV Protein Interactions for years of fruitful collaborations, and Teresa Brosenitsch for editorial support. This work is a contribution from the Pittsburgh Center for HIV Protein Interactions and was supported in part by National Institutes of Health grants P50GM082251 (A.M.G), R01GM067887 (J.R.P). + The meeting was hosted by Université catholique de Louvain, Belgium and sponsored by the Belgian National Fund for Scientific Research, the Belgian Federal Science Policy Office, + We thank the field assistants Navin H. Kumar, C. S. Monappa, S. K. Chengappa, Range Gowda and the late Umesh. We also thank Sandeep Sen and Shruthi Jayappa for their meticulously conducted DNA extractions. We are grateful to Igor Chybicki for his helpful comments on the NM+ analysis and to the anonymous reviewers for their helpful comments. Fragment analysis was conducted at the Genetic Diversity Centre (GDC) of ETH Zurich. This research was funded by ETH Zurich under grant no. ETH-22 08-2. + We would like to thank Andrés Alcolea and two anonymous reviewers, as well as + The authors highly acknowledge Alexandria University and Ain Shams University to give us the opportunity to do this work. Author Contributions: All authors are equally contributed in this article. + Acknowledgements We are indebted to D. Alburger and G. Harbottle for supplying us with the BNL raw data, and to H. Schrader for supplying us with the PTB raw data. The work of PAS was supported in part by the NSF through Grant AST-06072572, and that of EF was supported in part by U.S. DOE contract No. DE-AC02-76ER071428. + The authors would like to express their gratitude to team members working in this research project. Also, our gratitude should be extended to the participants, without whose collaboration this article would not have been possible. Authors would also like to acknowledge Ms. Niloofar Shiva for critical editing of English grammar and syntax of the manuscript. + Acknowledgement. This research was supported by the Chung-Ang University Research grants in 2004. + This work is based in part on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. Support for this work was provided by NASA through an award issued by JPL/Caltech. Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA. SPIRE has been developed by a consortium of institutes led by Cardiff Univ. (UK) and including: Univ. Lethbridge (Canada); NAOC (China); CEA, LAM (France); IFSI, Univ. Padua (Italy); IAC (Spain); Stockholm Observatory (Sweden); Imperial College London, RAL, UCL-MSSL, UKATC, Univ. Sussex (UK); and Caltech, JPL, NHSC, Univ. Colorado (USA). This development has been supported by national funding agencies: CSA (Canada); NAOC (China); CEA, CNES, CNRS (France); ASI (Italy); MCINN (Spain); SNSB (Sweden); STFC, UKSA (UK); and NASA (USA). Facilities: Herschel (SPIRE), Spitzer (IRAC, MIPS) + The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. + This work was supported by the National Natural Science Foundation of China (30872098), the National Natural Science Foundation of Tianjin (09JCYBJC12900). + The author wishes to thank the referees for helpful suggestions. + Acknowledgments. This study was supported by the Federal Program "Integration" (project no. B0057), the Program of Support for Leading Scientific Schools in Russia, and the Scientific-Education Center "Nonlinear Dynamics and Biophysics" at the Saratov State University (Grant REC-006 from the U.S. Civilian Research and Development Foundation for the Independent States of the Former Soviet Union). + We thank past and present members of the Department of Neuroscience and Center for Neurovirology for their insightful discussion and sharing of ideas and reagents. This work was made possible by grants awarded by the NIH to S. A. and B. E. S. + The authors would like to thank Tim Weninger and Cami G Carballo for their invaluable input in this work. + Laura Pelser-Posthumus, Jolanda Klaassen, Astrid Pouwelsen and Jacqueline Kuhnen are gratefully acknowledged for technical assistance in mosquito dissection and microscopy. Roberto La Valle is kindly acknowledged for critical reading of the manuscript. This work was supported by the Medicines for Malaria Venture, the Bill and Melinda Gates Foundation (grant OPP1118462) and the Novartis Institute for Tropical Diseases. + This work was carried out by the facilities and funding provided by National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan. + We thank the many Constellation and Genentech employees in their support of these studies. Special thanks to Prerna Kotak, Ted Peters, and Gina Prophete for technical support and Jim Audia, Patrick Trojer, Keith Dionne, Jeff Settleman, Nicole Follmer, Jose Lora, Richard Cummings, Michael Cooper, JC Harmange, Brian Albrecht, and David Stokoe for helpful discussions and comments on the manuscript. + I thank P.L. Roe for inspiring this work and for being a constant source of advice throughout its course. I thank A.D. French for providing the basic code for the Euler calculations. + This work was supported by grants from the National Institutes of Health (HL-46813, P01-HL-43023). We gratefully acknowledge the technical advice and help of Dr Dong Sun. We appreciate the excellent secretarial assistance of Annette Ecke and the superb engineering support of Stefan Pischinger. + This study was supported by the National Institute on Drug Abuse (NIDA K23 DA032578 and P50 DA09253). Preparation of this manuscript was supported by the National Cancer Institute (CA-113710). None of the funding sources had any further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication. + Funding for this project was supported by the Austrian Science Fund (FWF) grant no. P23850-B17. The authors wish to acknowledge Ahmed AbdElfattah for his invaluable help organizing the RT-PCR as well as Dr. Michael Gotesman and Dr. Subhodeep Sarker for their assistance in revising the manuscript. + Acknowledgements: This work was supported by a grant from the Wellcome Trust and a studentship from the Medical Research Council. + The project described was supported in part by the Intramural Research Program (Daniel S. Pine) of the National Institutes of Health-National Institute of Mental Health, as well as by Grant Numbers U01MH093349 to Nathan A. Fox, P50MH078105 to Megan R. Gunnar, R00 MH080076 to Amanda E. Guyer, all from the National Institute of Mental Health. + This study was carried out with financial support from project PRIN20085FFB3H_005. + The authors gratefully acknowledge the ESA CCI Soil Moisture project for supporting this work (ESRIN Contract No. 4000104814/11/I-NB) and Wolfgang Wagner and Wouter Dorigo for their guidance. We would also like to thank Ger Kiely for providing access to the Irish in-situ soil moisture datasets. The authors would also like to thank the anonymous reviewer and George Petropoulos for their helpful suggestions and comments. + We thank Dr. Andrew Pearson for helpful comments in the preparation of this manuscript. We thank the EPSRC for financial support via grants EP/I028641/1 "Polymer/fullerene photovoltaic devices: new materials and innovative processes for high-volume manufacture", EP/J017361/1 "Supergen Supersolar Hub" and EP/ M025020/1 "High resolution mapping of performance and degradation mechanisms in printable photovoltaic" + Acknowledgements. The author thanks Prof. Araki and Dr. Iyemori of Kyoto University and Dr. Kikuchi of Communications Research Laboratory for encouragement and useful discussions for this study. He also thanks Dr. Takeda of Kyoto University for support to make the ionospheric conductivity model using the computer system of Kyoto University. The calculations were made using Data Processing and Analysis System for Geomagnetism of the Kakioka Magnetic Observatory. Topical Editor D. Alcayde thanks M. Itonaga and another referee for their help in evaluating this paper. + This work was supported by Veterans Affairs Rehabilitation Research & Development Service Grants C7450R, C7113N, C6116W, C4963W, and the National Center for Rehabilitative Auditory Research. Thanks to Kelly Reavis, Roger Ellingson, and Patrick Tsukuda for their work on this project. + The research leading to these results have received funding from the French Government + This study was financed from the project of the Ministry of Science and Higher Education: NN 402 481 737. + We sincerely thank all infection control personnel, laboratory technicians, and medical microbiologists who contributed to this study. We also thank C.C. van den Wijngaard and L.C. Soetens for their advice on the spatial cluster analysis. + This work was in part supported by NSF PHY-1430124, and NIH GM108578 to PRS, and NIH GM58460 to ASB. + The authors thank the Cancer Therapeutics Evaluation Program for their support, C. Koppel, K. Kinzel, and S. Roberge for expert technical support for biomarker analyses, Q. Wang for statistical support regarding clinical data, and nurses and physicians at our institutions for their assistance. Data were presented at the American Society of Clinical Oncology Annual Meeting, June 4-8, 2010, Chicago, IL. + We thank the NIH for financial support (GM101153 to D.P.G.). RA.B. is grateful for the Harry and Cleio Greer Fellowship. + This thesis is dedicated to my wife, Jiang Yun. Without her love and support + The authors declare that there is no conflict of interests regarding the publication of this paper. + The authors express their appreciation to the following individuals for their contributions during the preparation of the first edition: Robert W. Bass, E. Richard Schmidt, S. F., 5, 15, 17, 19, 178 + We thank Edward Wilding and Andrew Yonelinas for reading the manuscript. This study was supported by the Swiss National Science Foundation grant 3200B0-105278 and by the Swiss National Center for Competence in Research: Neural Plasticity and Repair. + The authors would like to thank the referees for a very careful reading of the paper and complete comments and useful suggestions, which improved considerably the presentation of this paper. + This work was supported by the grants of National Science Foundation of China (NSFC30901280), Chongqing Municipal Health and Family Planning Commission Project (2016MSXM106), and Chongqing Municipal Science and Technology Projects (cstc2016jcyjA0196, cstc2016jcyjA0277). + The financial support for this work by the Department of Science and Technology (DST), New Delhi, India [project no. SR/S1/OC-51/2010] is gratefully acknowledged. We thank + We gratefully acknowledge Michael Strauss and Patrick Hall for pointing out some of the CV candidates and Don Schneider for useful comments on the manuscript. Funding for the creation and distribution of the SDSS Archive has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Aeronautics and Space Administration, the National Science Foundation, the US Department of Energy, the Japanese Monbukagakusho, and the Max Planck Society. The SDSS Web site is http:// www.sdss.org/. Studies of magnetic stars and stellar systems at Steward Observatory is supported by the NSF through AST 97-30792. The SDSS is managed by the Astrophysical Research Consortium (ARC) for the Participating Institutions. The Participating Institutions are the University of Chicago, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, Los Alamos National Laboratory, the Max-Planck-Institut für Astronomie (MPIA), the Max-Planck-Institut für Astrophysik (MPA), New Mexico State University, University of Pittsburgh, Princeton University, the US Naval Observatory, and the University of Washington. P. S. and S. L. H. also acknowledge support from NSF grant AST 02-05875 and an RRF grant from the University of Washington. + We would like to thank Kirsten Moll, Niloofar Rasti, Malin Haeggström, Bobo Mok, Qijun Chen and members of the Wahlgren group for their support in technical discussions, ATCC/MR4 for providing the MSP1-FVO rabbit antibody and PfEBA175 (region VI) rabbit antiserum (MRA-2). We would like to thank Matt Berriman, Andrew Berry and their team at the Wellcome Trust Sanger Institute for sequencing the intergenic region. This work is part of the activities of the BioMalPar European Network of Excellence supported by a European grant (LSHP-CT-2004-503578) from the Priority 1 "Life Sciences, Genomics and Biotechnology for Health" in the 6th Framework Programme, the Swedish Research Council and the Swedish International Development Agency (Sida). + This work has been supported in part by the Grant in Aid for Scientific Research (05243206, 06234210) and COE research (07CE2002) of the Ministry of Education, Science, and Culture in Japan. + We would like to thank Dr. Mr. Mengsen Li PhD and Ms. Jun Ma for their critical review of the manuscript, and Mr. Yunbo Zhang for help in collecting samples. Thanks also go to all participants who made the study possible. + This study was financially supported by the National Natural Science Foundation of China (grant numbers 31301477 and 31401580), the University of Liège-Gembloux Agro-Bio Tech, and the research platform AgricultureIsLife (grant number MOE11BE1A20131371N). + We thank the patient and his family for their kind cooperation. This work was supported in part by the Intramural Research Program of the National Human Genome Research Institute. + We thank the patients and their families for their support and participation in this study. + This work is funded by National Natural Science + We thank the National Parks and Wildlife Service of Ireland, particularly the offices of J Wilson, D Norriss, O Merne and D Tierney for their support. We thank the many volunteers who have helped catch and mark Greenland white-fronted geese at Wexford over the study period, especially P O'Sullivan and the late C Wilson. We also thank D Koons, X Harrison, G Souchay, T Arnold and K Weegman for their helpful comments to earlier versions of this manuscript. Finally, we thank our respective employers for their support of this research. + We thank Laura Hagstrom and Theron White for their help with cloning and initial purification of TruB; Olke Uhlenbeck (Northwestern University, Evanston, IL) for plasmid pCFO; the National BioResource Project (NIG, Japan) for the TruA and RluA expression plasmids; and Hans-Joachim Wieden for providing access to the quench-flow and stopped-flow apparatus as well as for critically reading the manuscript. This work was supported by the National Science and Engineering Research Council of Canada (NSERC), and the Canada Foundation for Innovation (CFI). + We thank Jorge Chiapella, Walter Till, and Sabina Donadío for useful taxonomic discussions on the complex. Also to Leonardo Versieux, Andrea Costa, Walter Till and Jorge Chiapella for helpful comments and suggestions of previous version of this manuscript. We are indebted to the curators of CORD, LIL, MA, W, and WU for access to plant material. We thank also to Marcelo Gritti that took some of the photographs. Financial support was provided by CONICET, SECyT (UNC), MINCyT and BMFW. + The work at Lund was financially supported by the Swedish Energy Agency, the Knut and Alice Wallenberg Foundation, Swedish Research Council and the European Research Council. J. Zhu and J. Gao thank the Chinese Scholarship Council for financial support. A. Alpers, P. Gritzmann, and M. Schwenk were partly supported by DFG Grants AL 1431/1-1, GR 993/10-1, and GR 993/10-2. COST Action MP1207 is acknowledged for networking support. + The research project was partially funded by the EMBIO Project of the Cypriot Ministry of Industry, Commerce and Tourism. The authors wish to thank Mrs. Angela-Lucy Petrou (Hellenic Ministry of Foreign Affairs) for proof-reading the manuscript. + This work was supported by the MRC and ARC. CEC is an Australian Research Council Postdoctoral Fellow. We thank Bill Wisden and Helen Meadows for the kind gifts of cDNA for TASK channels. + Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under contract DE-AC04-94AL85000. This work was performed under the DARPA MICE program under the leadership of CMS Technitronics. Special thanks go to Superior Micropowders for supplying the silver powder. + This research was supported by the Donald W. Reynolds Foundation. + Thanks are expressed to I. Triay and her colleagues at Los Alamos National Laboratory for providing samples and some funding to support this research, to D. Bish for providing some of the relevant data and publications and to L. Kovack for additional information. The manuscript benefited from the constructive criticisms of J. Post and 2 anonymous reviewers. Funding for this research was also provided by National Science Foundation grant number EAR9317082. + This work has been supported by the National Bioscience Database Center (NBDC) of the Japan Science and Technology Agency (JST). We thank Mr. Ryo Matsumiya for helping with the implementation of the Colil search service. + The authors acknowledge the support of the Dawn Science, Instrument and Operations Teams. This research has made use of the USGS Integrated Software for Imagers and Spectrometers (ISIS). We thank Michael Zanetti and an anonymous reviewer for the comments and suggestions, which helped improve the manuscript. This work was partly supported by the German Space Agency (DLR), Grant 50 OW 1101. + This work was supported by a grant-in-aid for scientific research from the Ministry of Health, Labour, and Welfare, Japan and from the Okasan-Kato Foundation. We thank Dr. Akio Mori at the Clinical Research Center, Sagamihara National Hospital, for his support and critical comments on the project. + All the people of CNR-IFC Laboratory of Cardiovascular Biochemistry are acknowledged for their research activity in the cardiovascular biomarker field. + The authors thank Drs. M. Ichikawa, F. Sasaki, H. Hayashi, M. Kakeyama, and S. Tsukahara for invaluable support and guidance. The authors also thank Drs. T. Ishidao, Y. Fueta, and H. Hori for their excellent discussion for this paper. This study is partly supported by the grant from the Ministry of the Environment, the Health and Labour Science Research Grants, and the Grant-in-Aid for Scientific Research. + The authors acknowledge funding from the Natural Science and Engineering Research Council of Canada (Discovery Grants), the Canada Foundation for Innovation for Infrastructure and its operating funds, and the Fonds du Québec en Recherche sur la Nature et la Technologie for team grants. Federico Rosei acknowledges NSERC for an EWR Steacie Memorial Fellowship. Alberto Vomiero acknowledges Kempestiftelserna and Luleå University of Technology Labfonden program for financial support for equipment, and the European Commission for partial funding under the contracts F-Light Marie Curie 299490 and WIROX 295216. The authors thank Ana Tavares for useful discussions during data analysis and manuscript preparation. + The financial support for this work provided by Louisiana Board of Regents (RCS and Pfund) and high performance grid computing resources (HPC) provided by LONI (Louisiana Optical Network Initiative) system are gratefully acknowledged. + We are grateful to Prof. Matthew Walker and Prof John Duncan from UCL Institute of Neurology for their support. JWS is supported by the Marvin Weil Epilepsy Research Fund. This work was undertaken at UCLH/ UCL, which received a proportion of funding from the Department of Health's NIHR Biomedical Research Centres' funding scheme. + The first author greatly acknowledges MEXT (MONBUK-AGAKUSHO) scholarship provided by the Japanese Government for conducting research in the Graduate School of Global Environmental Studies of Kyoto University. + Acknowledgment We thank Ralph Bergmueller, Laurent Keller, Lawrence Kirkendall and anonymous referees for comments on previous drafts of the manuscript, and Dik Heg and Barbara Tschirren for statistical advice. The investigations comply with the current laws of Switzerland. + The author wishes to thank his colleague Dr. D. H. Carlson and the referee for helpful suggestions concerning this paper, and particularly wishes to thank the referee for the reference [l] below. + Funding from the Department of Health to NPCRDC and from the Chief Scientist Office to HERU is acknowledged. The views expressed are those of the authors and not necessarily those of the funders. Helpful comments were made by Ken Judge, and John Wildman, and by participants in the Glasgow July 2004 meeting of the Health Economists' Study Group, and the York Seminars in Health Econometrics. + The work was supported by the National Natural Science Foundation of China (no. 51472204, 51221001, and 51302102.) We also thank the support from the Key Scientific and Technological Team from Shanxi Province, Start-up Funds from NWPU and the Natural Science Foundation of State Key Laboratory of Solidification Processing no. 2014KA040098C040098. Choy and his team would like to acknowledge the General Research Fund (grant HKU711813), the Collaborative Research Fund (grant C7045-14E) and RGC-NSFC grant (N_HKU709/12) from the Research Grants Council of Hong Kong Special Administrative Region, China. We also thank Dr Di Zhang for some discussion about transfer of graphene onto a glass. + The authors are very grateful to the operational staff who participated in this survey and thank Drs Nagase, Ogawa, Kobayashi, Takeda, and Inoue. T.S. and R.I. conceived the study. R.I. performed the statistical analyses. T.S. collected the data and wrote the first draft of the manuscript. R.I. critically reviewed the manuscript. All the authors contributed to the design, interpretation of the results, and critical revision of the article for intellectually important content. + We would like to thank the following organisations and individuals for input, help or assistance with this project. the Diamond Light Source for access to beamline I12 (experiment EE9244-1) that contributed to the results presented here, and Michael Drakopoulos, Nghia Vo, Christina Reinhard, Robert Atwood and Kaz Wanelik for their support and assistance during this beamtime. the NHM Imaging and Analysis Centre, for the initial XMT scans of the cones and for providing help generally. The NHM photo unit and Phil Crabb in particular for photographing the exterior of one of the cones. We thank Will Collins, owner of Chicksgrove Quarry at the time of collecting, and Mr. Simon Hart of Lovell Purbeck Ltd (current owners), for permitting access to collect at the site. Finally, we would like to thank Gar W. Rothwell and an anonymous reviewer for their input and comments into the final version of this paper. + ACKNOWLEDGEMENTS. The authors thank British Biotech Pharmaceuticals for supplying batimastat, Nancy Starobinas for kindly providing the cell line L929, Bruno Lomonte for fruitful discussions, and Javier Núñez and Rodrigo Chaves for their collaboration. This study was supported by the International Foundation for Science (project F/2707-2), by NeTropica, and by Vicerrectorṍ a de Investigación, Universidad de Costa Rica (projects 741-A1-529 and 741-A2-036). This work was carried out in partial fulfillment of the requirements for the Ph.D. degree for A.R. at the University of Costa Rica. + We thank Xian-min Meng for her laboratory technical assistance and Yue Tang for the excellent animal surgery. + Acknowledgments Main author thanks National Dairy Research Institute, Karnal, India for the award of Institute Senior Fellowship. Authors do not have any conflict of interest. + We would like to thank Steve Sowter and Brian Delroy of the South Australian Department of Human Services Food Standards Unit for their assistance with this outbreak investigation. We would also like to thank the staff of the South Australian Department of Human Services Behavioural Epidemiology Unit, in particular, Anne Taylor, for their assistance with the case control study. + The work of R. Gómez was partly supported by DGAPA-PAPIIT IN120605. + This work was funded by the German research association, the Deutsche Forchungsgemeinschaft (DFG), within the Sonderforchungsbereich (SFB) 602: Complex Structures in Condensed Matter from Atomic to Mesoscopic Scales. A. K. H acknowledges financial support from the Volkswagenstiftung within the program "Nachwuchsgruppen an Universitäten". + We thank Henriette Vever, Lisbet Mortensen and Ole Nielsen for excellent technical assistance and M. K. Occhipinti for editorial assistance. + We are grateful to M. Galpin, C. Wright and T. Kuzmenko for stimulating discussions. This research was supported in part by EPSRC Grant EP/D050952/1. + We thank the bacteria laboratory NO. 252, Hospital of PLA, Baoding, China for their expert assistance in this study. + This work received funding from the European Union in FP7: Clinical Intervention Modelling, Planning and Proof for Ablation Cancer Treatment (ClinicIMPPACT, grant agreement no. 610886) and Generic Open-end Simulation Environment for Minimally Invasive Cancer Treatment (GoSmart, grant agreement no. 600641). Dr. Bernhard Kainz is supported by an EU FP7 MC-IEF 325661 grant and Dr. Xiaojun Chen receives support from NSFC (National Natural Science Foundation of China) grant 81171429. Dr. Dr. Jan Egger receives funding from BioTechMed-Graz ("Hardware accelerated intelligent medical imaging"). The authors would like to thank the clinical staff enabling this study and MeVis in Bremen, Germany, for providing an academic license for the MeVisLab software. Videos demonstrating the interactive + We thank Drs. Chunling Yi and Joseph L. Kissil for AMOT knockdown constructs and AMOT knockdown HEK293T stable cells, Marius Sudol for an anti-YAP antibody, Xiao-Wei Chen for pHRCTS-CMV-WPRE-GFP vector, Philip Gafken at the Fred Hutchinson Cancer Center for assistance on LC-MS/MS analyses, Alyssa Wu for assistance on FRET, Ryan Russell for critical reading of the manuscript, and NIH Grant P30 CA23100 for covering part of the cost for confocal imaging. This work was supported by grants from the NIH (to K.L.G.). + Jutta Schwarz and Jana Hildebrandt are thanked for help with synthesis. This work was financially supported by EC through the IEF RESPONSIVE (PIEF-GA-2012-326665) and ITN iSwitch (GA no. 642196) as well as the ERC projects SUPRAFUNCTION (GA-257305) and LIGHT4FUNCTION (GA-308117), the International Center for Frontier Research in Chemistry (icFRC), the + The authors would like to thank Hilde Kelchtermans for critically reading the manuscript and the employees of the Maastricht Anticoagulation Clinic for their assistance with patient inclusion and blood collection. + This work was supported by grants from the National Science Council (NSC87-2314-B002-235. NSC85-2622-B002-01 1) and Department of Health. Executive Yuan. Taiwan (DOH86-TD-023. DOH87-TD-1045. DOH87-HR-525). + This paper is written as a part of a solution of project IGA FBE MENDELU 14/2010 and research plan FBE MENDELU: MSM 6215648904. + -10-Division of the Lawrence Berkeley Laboratory, University of California, Berkeley. + Acknowledgements The authors gratefully acknowledge the financial support of the project (Grant No.: RI 1202/3-1,2, WI 1970/8-1,2, SCHM 1372/7-1,2) by the German Research Foundation (DFG). + The authors greatfully acknowledge the support provided by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Universidade Federal do Paraná (UFPR), Universidade de Innsbruck (UIBK) and Institutos LACTECInstituto de Tecnologia para o Desenvolvimento for the development of this work. + The authors thank Günther Grabner for his outstanding and continuous support of experimental ophthalmology and Karin Weikinger, Sieglinde Graf, Dorothea Haunschmidt, and Eva Teppan for their excellent technical support. + The authors declare no competing financial interests. + This research was partially supported by a National Research Service Award Post-Doctoral Traineeship from the Agency for HealthCare Research and Quality sponsored by The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Grant No. T32-HS000032 and NIMH 5K01MH076175. + The authors would like to thank Llewellyn Mann for his assistance, critical eye, and advice throughout the project. + We would like to thank the Scientific Services at the Jackson Laboratory for many aspects of this project, including the Cell Biology and Microinjection Services for assistance in generating mutant strains of mice, and the Histology and Microscopy services for sample preparation. + This study was supported by a RTOG grant U10 CA21661, CCOP grant U10 CA37422 and ATC grant U24 CA81647 from the National Cancer Institute. This manuscript's contents are solely the responsibility of us and do not necessarily represent the official views of the National Cancer Institute. + This work was supported by the Emerging Fields Initiative from the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), project "Synthetic Biology" to US and HS. We acknowledge support by Deutsche Forschungsgemeinschaft and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) within the funding programme Open Access Publishing. We thank Benedikt Schmid (Lehrstuhl für Biotechnik, FAU) for help with the CD-spectroscopic analysis. + These studies were financially supported by Teva Pharmaceuticals (Netanya Israel). The authors thank Teresa Nunes, MD, MSc (PRA Health Sciences, Zuidlaren, The Netherlands) and Pippa Loupe, PhD (Research and Scientific Affairs, Teva Pharmaceuticals, Kansas City, Missouri, USA) for assistance in manuscript development. + The authors thank to Alberto Sánz Cantalapiedra, MD, for fluorometry measurement assistance; Emiliano Becerra, MD, for eye and lid surgical extraction; Miguel Jarrín, MSc, for animal handling; Victoria Sáez for excellent technical assistance, and Agustin Mayo-Iscar, PhD, for statistical analysis. + We wish to recognize the contribution of our colleague + Luis Aguilar Rosas and Raúl Aguilar Rosas † identified the Sargassum species. José Borges Souza, Ciro Arista de la Rosa, Martín Cuevas Higuera, Efraín Flores Montaño, Enrique Calvillo Espinoza, Javier Alvarez Espinoza, Jesús Espinoza Alvarez, and Pablo Simental Sigala conducted important field work. Ira Fogel (CIBNOR) provided extensive editorial services. MCV, ISR, and RNAR are EDI-IPN and COFAA-IPN fellows. + This study was supported by the General Program of National Natural Science Foundation of China 81271307 (to XQ) and the National Key Clinical Specialties Construction Program of China. + We thank all collaborators who helped with insect sampling. + This research was sponsored by Daikin Industries, Japan and Tsinghua University, China. + This analysis is a product of the Global Lake Ecological Observatory Network (GLEON) Fellowship Program, as conceived by KCW, PCH, and EKR (http://fellowship. gleon.org). Open-source code for gas flux calculations can be accessed in the R package LakeMetabolizer. We do not make a distinction among the contributions of the first 8 authors in conceiving, designing, and carrying out the analysis and synthesis for this paper. All authors contributed to writing and editing of the manuscript. We thank Dr. Jonathon Cole for helpful feedback that improved this paper. Funding for this research was provided by US National Science Foundation Macrosystem Biology grant #1137353, and #1137327. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government. We acknowledge data providers of the Solomon et al. (2013) + This work supported by the Nuclear Science Division and the U.S. Department of Energy under Contract W-7405-ENG-48. + The authors wish to thank Dr. H. Zahner of Universitat Tubingen, F.R.G. for generous gifts of bafilomycins. + Acknowledgements. We thank the Federal Ministry of Education and Research of Germany for funding the project "Restoration of degraded arable soils of Moldova using vetch as green manure" (FDK 01DK13008). Edited by: A. Jordán + Supported by grant CA29605 from the National Cancer Institute and by funding from the Amyx Foundation, Inc. + The study was supported by the Administration des services techniques de l'agriculture (project Sentinelle) and by the Fonds National de la Recherche Luxembourg (project Futox FNR/SECAL/07/02). + We thank Albrecht Ritschl, Hans-Joachim Voth (Editor in Explorations in Economic History), and two anonymous referees for very useful comments and suggestions. We are also grateful to Takashi Kamihigashi, Mariko Hatase, Masanao Itoh, seminar participants at Kobe University, the Bank of Japan, and participants of the Economic History Association's 71st Annual Meeting for their helpful discussions and remarks. Shibamoto acknowledges financial support in the form of a Grant-in-Aid from the Japanese Ministry of Education. + We thank Dr. Aki Mustonen, Dr. Jukka Moilanen, Dr. Mervi Grip, and Nurse Kari Mononen for help in sample and data collection. + We thank the Judith and Jean Pape Adams Charitable Foundation for supporting and funding our research into lanthionine biochemistry. We thank Joseph Margiotta and Marthe Howard of the University of Toledo Medical Center, Department of Neurosciences for their advice regarding culture of primary chick dorsal root ganglia neurons. + We thank S. Poblador for the field and laboratory assistance. + This work was partially supported by NIH/NHGRI grant 1U54HG004973-0 and NIH/NIAID grants R01 AI42399 and R01 AI067861. JGP was supported by T32 AI55449 and is currently supported by F31 AI092891. + Acknowledgments We would like to thank Pedro Rodriguez and Sea Ventures, Inc for providing logistical support for work at this site over the last 10 yr. We would also like to thank Art Gleason at the University of Miami for processing the photomosaic. + This article was supported in part by the Child Health and Nutrition Research Initiative (www.chri.org). We would also like to thank the following individuals for their valued revisions: Margie Peden, Olive Kobusinjye, David Bishai and Andrea Gielen. + This paper was originally presented during IFLA 2011 Annual World Library and Information Congress held in San Juan, Puerto Rico, 13-18 August 2011. Published with the kind permission of IFLA. www.ifla.org/ + This work was supported in part by CAICYT + This work was supported by grants from National Natural Science Foundation of China + This research was supported by National Natural Science Foundation of China (Grant No. 81273957, 31371321), NCET-10-0919 and 'Taishan scholar' position. + We thank the patients and their families for participation in this study. We are indebted to Charlotte M. Druschel, M.D., M.P.H., who is retired from the Congenital Malformation Registry, New YorkState Department of Health, Albany, New York and the Department of Epidemiology and Biostatistics, School of Public Health, University at Albany State University of New York, Albany, New York. She was a major contributor to this project in design and recruitment of New York State participants. This research was supported by grants including CDC R01 DD000350 and NIH/NICHD P01 HD078233. + I want to thank Joe Brady, Kathy Cebulka, Dan Chester, Kathy McCoy, Martha Pollack, and Ralph Weiscbedel for their many helpful discussions and coxxmaents on this work, and Dan Chester and Kathy McCoy for their comments and suggestions on this paper. + We thank Christopher Stewart, senior assistant librarian at SUNY Downstate Medical Center, for his help in conducting the literature searches for this systematic review. We thank the following authors for providing us with patient-level natriuretic peptide data: Tommy Chung, Camille Chenevier-Gobeaux, Joé el Coste, Christopher R. deFilippi, Salvatore Di Somma, Andrew S. Liteplo, Simcha R. Meisel, and Thomas Mueller. + The authors thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for the scholarships and to Núcleo de Endemias da Secretaria de Saúde do Estado do Ceará for their collaboration in grain processing. + This study was supported in part by grants-in-aid for research from the Ministry of Health, Labor, and Welfare of Japan. The authors disclose no financial relationship relevant to this publication. + We are grateful to Juliana Brown, Steve Hyman, Guoping Feng, Zhanyan Fu, Alejandro Schinder, Lee Rubin, Francesca Rapino, Emilio Kropff and members of the Arlotta lab for insightful discussions and editing of the manuscript. We thank Alex Pollen and Arnold Kriegstein for sharing of human single-cell datasets and Connie Cepko for generous sharing of antibodies. We thank Helen Zhang for outstanding technical support. + We thank Dr. Yumiko Abe and Hiroko Matuda for expert technical assistance. We also wish to thank Dr. Mario Ascoli for suggestions with different technical aspects of this project; Dr. Shizuko Imai for the preparation of this manuscript; and Dr. Takashi Matozaki (Biological Research Center Institute for Molecular and Cellular Regulation, Gunma University, Japan) for anti-cAMP serum. Received December 19, 2003. Accepted March 9, 2004. Address all correspondence and requests for reprints to: Kazuto Nakamura, Department of Obstetrics and Gynecology, School of Medicine, Gunma University, Gunma 371-8511, Japan. E-mail: nkazuto@med.gunma-u.ac.jp. This work was supported by Uehara Memorial Foundation (Japan), Kanzawa Medical Foundation (Japan), and a grantin-aid for scientific research from the Ministry of Education, Science, Sports and Culture of Japan. + This work was supported in part by grants from the Ministry of Education, Culture, Sports, Science, and Technology of Japan + Funding: This is a self-supported research without funding from any agency whatsoever. + This work was supported by research grants from the Takeda Research Foundation, a grant from the Japan Cardiovascular Research Foundation (Bayer Scholarship for Cardiovascular Research to K.T.), and Grant-in-Aid for Scientific Research (Kakenhi 21590950 to K.T. and 23390208 to T.M.). No potential conflicts of interest relevant to this article were reported. Y.U. performed experiments and contributed to writing the manuscript. K.T. designed and performed experiments, chaired discussions, and wrote and edited the manuscript. K.Y., T.N., and T.Ma. performed cell treatment experiments. K.E. provided 7ND construct. R.K. and M.N. performed animal experiments. X.W.C. and H.N. performed a pathological analysis. T.Mu. coordinated this project and reviewed the manuscript. K.T. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The authors thank Dr. Issa F.G. (Word-Medex Pty Ltd., Sydney, Australia) for careful reading and editing of the manuscript, Dr. Mikio Iwashita (Daiichi-Sankyo Co., Ltd., Tokyo, Japan) for suggestions on the statistical evaluations, and all members of the laboratory for sharing reagents and advice. + This study was financially supported by the NAFOSTED of Vietnam under code number 104.05.58.09. The authors would like to thank the Humboldt-Fellowship for the support of the IM6 equipment. + We are grateful to the UK Department for International Development for funding the research reported here. We are also grateful to the Nuffield Foundation for a timely travel grant to enable LO to visit Kisumu to assist the later stages of the project, to the Kombewa HDSS for access to the demographic and health surveillance site, to the research assistants and field managers, and last but not least to the people who willingly gave their time to participate in the study. + The authors gratefully acknowledge the content experts for the valuable discussions and Reginald Roach for editing the paper. The source of funding was College of Nursing, Sultan Qaboos University DF/CN/06/10. + The author gratefully acknowledges the financial support given by the National Science Foundation (Research grant -RG/Ol/AG/97). Thanks are due to Mr MM Jayathileke of the Department of Civil Engineering for collecting data and performing pumpingtests in the study area. + Acknowledgements. Part of the research at EDM is funded by the European Fund for Regional Development and the Flemish Government, the iConnect project is funded by the Interdisciplinary institute for BroadBand Technology (IBBT). We would like to thank Maarten Cardinaels and Geert Vanderhulst for their invaluable assistance. + This work was performed according to the Russian Government Program of Competitive Growth of Kazan Federal University. + We would like to express our gratitude to Dr. Robert H. Waterston for critical review of the manuscript and permission to quote unpublished data, Dr. C. C. Liew for providing the sequence of intergenic region between d-and aMHC genes, Dr. Tony S. Ma for helpful discussions, Grace Czernuszewicz and Terry Tapscott for technical assistance, and Debora Weaver, Alexandra Pinckard, and Sherry Terry for manuscript and figure preparation. This work is supported in part by grants from the National Heart, Lung, and Blood Institute, Specialized Centers of Research (P50-HL42267-01), and the American Heart Association, Bugher Foundation Center for Molecular Biology (86-2216). + The first author was supported by the Japanese Government Scholarship Grant for Foreign Students (Monbukagusho) for his PhD study. This work was partly supported by the Ministry of Agriculture, Forestry, and Fisheries of Japan (Genomics for Agricultural Innovation PMI-0010) and the Program for Promotion of Basic Research Activities for Innovative Biosciences (PRO-BRAIN), Japan and Grant-in-aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology, Japan to HK and RT (Grant-in-Aid for Scientific Research on Innovative Areas 23113009). + We thank E Menna (CNR, Milan) and R Furlan (San Raffaele Hospital, Milan) for helpful discussion and A Bergami (San Raffaele Hospital, Milan) for flow cytometry measurements. This research has been supported by FISM 2010/R/39 to CV, Compagnia di San Paolo, 2008 2207 to MM and Associazione Italiana Ricerca sul Cancro (AIRC) to EC. Author contributions: FA performed all patch-clamp recordings in vitro with the help of MG, analysed data and helped with in-vivo experiments. ET established cultured microglia, performed MV isolations and part of MV biochemical treatments with the help of LN. LR established cultured neurons and performed some biochemistry on MVs. MC performed and analysed in-vivo data and helped with data interpretation. CP analysed A-SMase activity of MVs. EC provided experimental tools. PG analysed sphingolipid metabolism and extracted lipid fraction from MVs. PV discussed the hypothesis and helped with data interpretation. MM discussed the hypothesis and helped to write the manuscript. CV designed the study and wrote the manuscript. + Dr. Trond Eirik Jentoftsen, Hydro Aluminium, Norway is acknowledged for performing some of the experiments.. + We thank T. Terashima + This research was supported by the Australian Research Council (DP130104572, DE150100548) and the Swedish Research Council (VR 2014-4904). We thank the manager of the Adelaide Botanic Gardens for allowing insect collection and behavioral recordings. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + We acknowledge the support of the ESRC for this research: the data derive from project R000222050 and the ideas for the application from project R000222693. + We are grateful to J. Artola, L. Azzolin, J. Bene s, S. Cuvelier, A. Freese Research (12-04-00490, 11-04-00076 and 11-04-01119) and by the Presidium of Russian Academy of Science 'Gene Pools and Genetic diversity' and 'Origin of biosphere and evolution of geo-biological systems' to VAL. + The study was supported by National Institutes of Health Grant DA-K01 -024751 (to H.-E. W.) and NS-R01-42150 (to Q.H. H.). + The authors express profound thanks to the physicians at affiliated hospitals who obtained liver biopsy specimens and provided patient data for this study: Drs. Kouji Domori, Kisei Ishizuka, Osamu Isokawa, Yusuke Kawauchi, Makoto Kobayashi, Yusaku Mita, Shigeki Mori, Keiko Niwa, Akihiko Osaki, Kenta Suzuki, Shinichi Takei, and Koichi Harada. + We thank Hong Yeon Woo for assistance with field collection. Our thanks are given to Yujeong Park and Mi-yeon Kim for helping with species identification and Erick Kim for linguistic corrections. + The authors wish to thank Mr. David B. Izard for his assistance with the English correction. + We thank A. Spracklen, N. Westerberg and B. Braunecker for useful discussions. C.W.D. acknowledges studentship funding from EPSRC CM-CDT Grant No. EP/L015110/1. P.Ö. and M.V. acknowledge support from EPSRC EP/M024636/1. + We thank the Southern California Bight 2013 Regional Monitoring Program (Bight '13) Marine Protected Area Planning Committee for their guidance and review during this study. We also acknowledge the following organizations for the extensive field efforts and careful attention to consistent methodology that allowed for collation of the biological data used in this study: the Partnership for the Interdisciplinary Studies of Coastal Oceans, Vantuna Research Group, San Diego State University. + Sincere gratitude and appreciation to Gordon Hodge, Ph.D., Karin Butler, Ph.D., Paul C. Amrhein, Ph.D., and Mark McDaniel, Ph.D. whose vital contributions and recommendations were greatly appreciated. + Acknowledgement. We are thankful to Peter Sun for providing advice on the 2B4 structure and to Frank Momburg for providing reagents. + All measurements have been done by the Swiss Army Procurement Agency. + I thank Drs Gary Poore, Robin Wilson and Elycia Wallis (Museum Victoria, Melbourne); Penny Berents (Australian Museum); and Wolfgang Zeidler (South Australian Museum, Adelaide) -for loans of large amounts of unidentified sphaeromatid material and for waiting patiently while I worked on these valuable collections. I also thank Kim Larsen for inking the drawings and Geert Brovad (both Zoologisk Museum, Copenhagen) for producing prints of the SEM photograph. I thank Janet Bradford-Grieve (NIWA, Wellington) for her comments on the manuscript. This is the concluding contribution from Australian Biological Resources Study Grant ABRS 89/1844, and was completed in part at the Zoologisk Museum, University of Copenhagen. This publication acknowledges National Science Foundation award DEB9978193. + I would like to thank Rob Iliffe for numerous conversations about the issues raised in this article, Dilwyn Knox for commenting on an earlier version of this material and Francesco Beretta for offering valuable advice at an early stage of my research. + The authors thank the University of Virginia Flow Cytometry Core facility for excellent technical assistance with luminex assays. The authors thank Drs. P.C. Trampont and T.J. Braciale for apotome microscope and one-step-plus qPCR access, respectively. The authors thank members of Dr. Y.S. Hahn's laboratory for their suggestions. + The authors would like to thank H. A. Baldis, E. M. Campbell, B. A. Hammel, and J. D. Kilkenny for helpful discussions and support. We also thank the Nova crew. + We thank Aiko Inoue for technical assistance with cell culture and morphological analysis. + We thank all members of the Raulet lab for helpful discussion and comments on the manuscript. Benjamin G Gowen The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + We thank Dr. R. Anderson for language editing. + Acknowledgments. We would like to thank Michael Fried, Kay Magaard and David Harbater for help with context and references, and Robert Guralnick for assistance with the proof of Theorem 5.3. + G.R. thanks Gerrit Coddens fruitful discussions and improving the style of the paper. + This work has been supported in part by research grants from NSERC of Canada. LD also acknowledges a FQRNT fellowship. + Authors thank Drs Mark S Shapiro and Byung-Chang Suh for kindly providing valuable reagents. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning and Technology (NRF-2012R1A2A2A01046878, NRF-2015R1A2A1A15051998 and 2015. + The research was kindly supported at Northwestern University by the US Department of Energy, Basic Energy Sciences, Chemical Sciences, Biosciences, and Geosciences Division and Division of Materials Science and Engineering Grant ER-15522. Use was made of the IMSERC X-ray Facility at Northwestern University, supported by the International Institute of Nanotechnology (IIN). Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: BR2209). + This work is carried out in the master thesis which is supported by the Nokia Siemens Networks Project Mature (Modeling and Analysis of the Transport Network Layer in the UTRAN Access Network REsearch). The partner of this work is Nokia Siemens Networks in Berlin, Germany. + We thank the accelerator crew of IUAC for providing beams of excellent quality throughout the experiments. One of the authors (M.K.) would like to thank University Grants Commission (UGC) for the financial assistance. + We thank Valerie Asher for critical reading of the manuscript. This work was supported by Public Health Service grant RO1 A1 30060 (K. A. Joiner and C. J. M. Beckers) and by Institut National de la Sante et de la Recherche Medicale and Centre National de la Recherche Scientifique (J. E Dubremetz and O. Mercereau-Puijalon). + Acknowledgements. We thank Joonas Merikanto for help with the pre-industrial emission inventories, Thomas J. Breider for the development of the coupled chemistry scheme, and Matthew T. Woodhouse for providing further data on DMS-derived changes in CCN and useful discussions on an earlier version of the manuscript. We thank the reviewers and the Editor for their useful comments and suggestions. AS would like to thank David S. Stevenson and Daniel J. Morgan for their useful comments and discussions during the PhD viva, and Hans-F. Graf for very useful comments on an earlier version of this paper. We also thank Robert B. Simmon from NASA Earth Observatory for provision of the NASA satellite data. AS was funded through a University of Leeds PhD Research Scholarship and through NERC grant NE/I015612/1. AR was supported by the NERC grant NE/G005109/1. GWM was funded by the NERC National Centre for Atmospheric Science, and KSC and PMF are Royal Society Wolfson Merit Award Holders. + CH and EJ were supported by the Netherlands Organization for Scientific Research (NWO grants 840.11.001 and 841.11.007), and NH by the Triodos Foundation. The investigations of the Entomological Society Krefeld and its members are spread over numerous individual projects at different locations and in different years. Grants and permits that have made this work possible are listed below: + The authors express their thanks to Drs. Yoshiaki Miyamoto and Kozo Nakamura for valuable discussions. They appreciate a number of insightful comments from two anonymous reviewers. The data providers are also acknowledged. The NOAA_OI_SST_V2 data were provided by the NOAA/ OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at http://www. esrl.noaa.gov/psd/. The TRMM 3B42v7 was provided by National Aeronautics and Space Administration (NASA) and Japan Aerospace Exploration Agency (JAXA). The ECMWF YOTC operational analysis was provided by ECMWF from their Web site at http://apps.ecmwf.int/datasets/data/yotc-od/levtype=sfc/ type=an/. The NCEPfinal analysis was provided by NCEP and downloaded from the Research Data Archive (http://rda.ucar.edu/datasets/ds083.2/) which is managed by the Data Support Section of the Computational and Information Systems Laboratory at the National Center for Atmospheric Research in Boulder, Colorado. The best track data were provided by JTWC form their Web site at http://www.usno.navy.mil/NOOC/nmfc-ph/RSS/jtwc/best_tracks/. All the simulations were conducted on the Earth Simulator at JAMSTEC. TN is supported by JSPS KAKENHI Grant Number JP26400475. MN is supported by HPCI Strategic Programs for Innovative Research Field 3 of MEXT and FLAG-SHIP 2020 project of the Ministry of Education, Culture, Sports, Science, and Technology (MEXT). + Compliance with ethical standards Funding The study was financed for one part by the European Union with the ERA-Net WoodWisdom program and namely to the project "BIOCOPOL-Enhancing wood durability and physical properties through innovative bio-based sustainable treatments." Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. + L.G-S, N.P-R, and E. S-P were supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health (NIMHHD/NIH, award no. 2U54MD007587). Infrastructure and instrumentation were available through a Pathway to Independence grant from the National Institutions of Health (NIH-K99/R00-NIH, award no. R00-DC009443) and a grant from the Puerto-Rican Science Trust to M. B. We want to thank Dr. Vincent Cunliffe for the generous gift of plasmids for in situ antisense probes, Dr. Guillermo Yudowski and Dr. Greg Quirk for critical reading of the manuscript, and all the undergraduates (Andre Calimano, Wendy Aquino, Roberto Rodriguez Morales, and Normarie Herrera) for help with fish husbandry. + The authors will like to thank the financial support in different moments from the "Coordenação de Aperfeiçoamento de Pessoal de Nível Superior" (CAPES) and the "National Council of Technological and Scientific Development" (CNPq), both from Brazil through a scholarship for the first author. + The authors express appreciation to Mr. H. Hara and Mr. M. Nagai for their valuable experimental assistance. + We wish to thank Dr Sergei Kotenko for the kind gift of the IFNlR1 and IFNl3 expression plasmids, Dr Georg Kochs for the Mx-Luc reporter plasmid and Dr Gilles Uzé for the gift of HL-116 cells expressing the IFNlR1. We are also in debt to Lisbeth Heilesen and Dr Hans Henrik Gad for critical reading of the manuscript. This work was funded by the Danish Cancer Society (grant: R20-A927; RH), and the Danish Council for Independent Research, Medical Research (grant 11-107588; RH); the Swiss National Science Foundation (project 31003A_132898; VT), the 3R Research Foundation Switzerland (project 128-11; VT and RD), and the Deutsche Forschungsgemeinschaft (Priority Programme (SPP) 1596; VT). + ACKNOWLEDGMENTS. We thank S. Allman and Z. Yang (Oak Ridge National Laboratory) for technical assistance; T. Vishnivetskaya for providing Human Microbiome Project SR1 pyrosequences; Ilka Heinemann, Jiqiang Ling, and Laure Prat for inspired discussions; the Human Microbiome Project research community for providing sequence data; and the developers of Integrated Microbial Genomes for analysis platforms. This work was supported by National Institutes of Health Grants R01 HG004857 (to M.P.) and GM22854 (to D.S.); Defense Advanced Research Projects Agency Contract N660-12-C-4020 (to D.S.); the Oak Ridge National Laboratory (managed by the University of Tennessee-Battelle) via the US Department of Energy Contract DE-AC05-00OR22725; and US Department of Energy Joint Genome Institute and Department of Energy Contract DE-AC02-05CH11231 (to P.S., T.W., and A.S.). + We thank the anonymous referee for helpful comments and suggestions that improved the clarity and robustness of the results. Z.G. thanks Prof. Douglas N. C. Lin for helpful discussions. We also thank Hiro Takami, Stefano Facchini, and Carlo Manara for discussions on RW Aur, and Petr Petrov for discussions on extinction in disk winds. We also thank all of the observers and staff who contributed to this project, including those at the HCT (operated by the Indian Institute of Astrophysics), YNAO, VBO, TNO, HCT, and Lulin observatories. We thank Guojie Feng, Chunhai Bai, Shuguo Ma, Guangxin Pu, Abudusaimaitijiang Yisikandeer, and Xuan Zhang from Xingjiang Astronomical Observatory for organizing and running the NOWT observations that are partially supported by the CAS "Light of West China" program (2015-XBQN-A-02). Z.G., G.J.H., and J.J. are supported by general grant 11473005 awarded by the National Science Foundation of China. J.N.F. acknowledges the support from the National Natural Science Foundation of China (NSFC) through grant 11673003 and the National Basic Research Program of China (973 Program 2014CB845700 and 2013CB834900). + We would like to especially thank the EAGeR participants for their extraordinary commitment to the study, all of the EAGeR investigators and staff who devoted their time and energy to the success of this trial, and the Data Safety and Monitoring Board members for ongoing oversight, constant support and advice throughout the trial. The authors have no conflicts of interest to disclose. + The authors wish to thank Mr. S. Kumeda and Miss K. Nakazawa for technical assistance. + The authors gratefully acknowledge the support of the Natural Science Foundation of China (NSFC) through Grant Nos. 11272229 and 11302144, and the Tianjin Research Program of Application Foundation and Advanced Technology through Grant Nos. 16JCYBJC18800 and 14JCQNJC05300. + We would like to thank Prof. S. Nechaev for useful discussions. + The authors would like to thank Alexander Dobin, Felix Schlesinger, Chris Zaleski, Carrie Davis and all other members of the Gingeras group at CSHL for their assistance and advice, as well as Richard McCombie and the CSHL sequencing facility for their services. We also thank Alexander Gann, Gregory Hannon, Zachary Lippman, Joshua Dubnau, Adrian Krainer, Brenton Graveley, Jacques Batut and Mike Levine for helpful discussions and advice. We are grateful to Thomas Kaufman and the FlyBase + This study was made possible by the generous transfer of field data from the Spanish Herpetological Association (AHE). We also thank Neftali Sillero for valuable advice on herpetological modelling. + Acknowledgments We thank Anna Maria Edlisca for technical assistance. + The authors acknowledge the patient for consenting to reveal the case details and photographs for publication. + Acknowledgements The paper was completed while the author was an exchange student at Columbia University. The author is grateful to Robion Kirby and Peter Ozsváth for their support and many helpful discussions. We thank Elisenda Grigsby, Ming-Lun Hsieh, Walter Neumann, Bjorn Poonen, Eric Urban and Shaffiq Welji for interesting discussions. Also, we would like to thank the referee for suggestions and comments on the first draft. + We are grateful to the Center of Excellence for Innovation in Chemistry (PERCH-CIC), Office of the Higher Education Commission, Ministry of Education, and the Department of Chemistry, Faculty of Science, Prince of Songkla University, for financial support. We also thank Professor Dr Brian Hodgson, Faculty of Science, Prince of Songkla University, for reading the manuscript and providing valuable comments. + To the Center for Applied Statistics -CEA, University of São Paulo Institute of Mathematics and Statistics for cooperation with the statistical analysis of study data. + Acknowledgements This work was funded by the Netherlands Organization for Scientific Research, Prins Bernard Cultuurfonds, and a scholarship from VSBfonds. We thank John Muller for technical advice and assistance with mechanical testing. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. + The work of H. Badali and M. T. Hedayati was financially supported by the School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran. I. Haghani is acknowledged for help in building up part of the sequence database. + Acknowledgements This work is partially supported by an EADS grant and NSF grants CNS-0916221 and CNS-0721951. + Ackowledgments: Authors thank the financial support from PRODEP (Grants DSA/ 103.5/14/10819), DITCo2015-13 and ICyTDF/231/2012. + Acknowledgments We thank all of the doctors, nurses, and pathologists who participated in this study. + We are grateful to the people of the Umkhanyakude District for their support. We especially thank the MDP staff members, MDP 301 trial participants and Africa Centre Community Advisory Board members who provided information for this study and commented on the findings after analysis. A special thanks to Sizakele Suzaki, Cebile Mdluli, Nkosinathi Mhlongo and Nozipho Ngwenya for their assistance in conducting the focus group discussions. The MDP 301 clinical trial was sponsored by the UK Medical Research Council (MRC) and funded by the MRC and the UK Department for International Development (DFID). Nuala McGrath is supported by a Wellcome Trust fellowship (grant # WT083495MA). the Africa Centre for Health and Population Studies, University of KwaZulu-Natal, South Africa, is supported through grants from the Wellcome Trust (G0100137). + We thank the referees for their suggestions to refine the presentation. + We wish to express our sincere thanks to Asahi Chemical Industry Co., Ltd. for supplying radioactive and authentic chemicals. We also express our gratitude to Prof. K. Kumada and other members of our laboratory for their invaluable suggestions and encouragement during the course of this study. + This work was co-financed by the German Federal Ministry of Education and Research in context of the joint project for immobilisation of long lived radionuclides by secondary mineral phases (ImmoRad, 02 NUK 019A). P.S. has been supported by the Academy of Finland through its Centres of Excellence Program (project no. 915804) and acknowledges the use of the computational resources provided by the Aalto Science-IT project. We thank Paul Fenter and Sang Soo Lee for the data processing routine. We acknowledge support by Deutsche Forschungsgemeinschaft and gratefully acknowledge the Helmholtz Gemeinschaft Deutscher Forschungszentren for supporting the Helmholtz-Nachwuchsgruppe "Structures and Reactivity at the Water/Mineral Interface" (VH-NG-942). K.V. acknowledges funding from the European Council (MC CIG 631186). + Acknowledgment: We thank Robert C. Hickey, MD, for his contribution to the development of endocrine surgery at the University of Texas M. D. Anderson Cancer Center, Houston, and in particular his role in the description of parathyroid autografting. + Funding for this study was supported by Natural Science Foundation of China (Nos. 31172101 and 41203018) and the Program for New Century Excellent Talents in University (NCET-12-0693). + The authors would like to thank Mrs. Jutta Mohr (Department of Gastroenterology, University Hospital Heidelberg, Heidelberg, Germany) for their technical support. + Acknowledgements: We wish to thank Anna Ijjas, Jean-Luc Lehners, Paul Steinhardt and Andrew Tolley for very useful discussions and comments on the manuscript. + The authors are grateful to Eduardo Fernandez-Arias and our discussants, Michael Bruno and Susan Collins, for helpful comments. This research was supported by the National Science Foundation, the German Marshall Foundation, the Thomas Ready Jr. Research Fund, and Conselho Nacional de Desenvolvimento Cientffico e Tecnol6gico. + The authors thank Steven Gygi for critically reviewing the manuscript. This work was supported in part by grants from the UT Southwestern Medical Center Endowed Scholar Program, the Cancer Prevention and Research Institute of Texas (CPRIT R1103), the Welch Foundation (I-1800), and NCI lung cancer SPORE (5P50 CA70907) career development award. + The authors would like to thanks the Southeast Asian Infectious Disease Clinical Research Network and the US. National Institute of Health for some serum samples from the 2009 pandemic influenza patients. Thanks are also to Dr. Anucha Apisarnthanarak, Thammasat University Hospital, Pathum Thani, Thailand for part of serum samples from health care workers. + Acknowledgement. The author would like to express sincere thanks to her supervisor A.N. Dudin for a suggesting this problem, a number of helpful comments and for help to improve this paper. + We thank Mr Vivek Kumar Sahoo and Mr Kishan Kumar Singh for preparation of movies. Funding from NISER and Department of Biotechnology (Govt. India, grant number BT-BRB-TF-2-2011) are acknowledged. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. + This study was partly supported by the Venture Business Laboratory of Yamaguchi University, the New Energy and Industrial Technology Development Organization (no. 03A02018a), the Ministry of Education, Culture, Sports, Science and Technology of KAKENHI (no. 17591406, no. 18390366), and Japan Society for the Promotion of Science KAKENHI (no. 187616). + We would like to thank S . Jin of AT & T Bell Laboratories for providing material for sample SJ3151B3 and B. Vuchic of ANL for the backscattered electron channeling patterns. + This work was supported by AIRC grants IG11346 to SC, IG10104 to DT, IG5975. + This work was supported in part by the Fundação para a Ciência e Tecnologia -FCT, under the grant number SFRH/BD/73129/2010, and the European Union (COM-PETE, QREN and FEDER), under the project REC I/EEI-SII/0360/2012 "MASSIVE -Multimodal Acknowledgeable MultiSenSorial Immersive Virtual Environments". This work is also supported by the project "TEC4Growth -Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020" is financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). + This work was supported by the Australian Research Council. + This work is supported by the Scientific Research Fund of Turgut Özal and Fatih universities under the project number P53011208_B. + We thank Professor Duco Hamasaki, Bascom Palmer Eye Institute, University of Miami, for his critical discussion and editing of the final manuscript. + Acknowledgments-We thank our colleague Dr. William Baird and the Center for Gene Research and Biotechnology for the long-term loan of an HPLC electrochemical detector and a Beckman HPLC unit, respectively, and we thank members of Dr. Baird's laboratory for instructions in use of the electrochemical detector. We thank Stella Martomo of this laboratory for assistance with the in vitro DNA replication reactions. Special thanks are due to Dr. Michael Tassotto for technical support. + The authors acknowledge financial support from the European research grant. A. S. is grateful to Dr Sara Costa and Dr Johan Ek Weis for fruitful discussions and helpful comments. + We would like to thank the Queensland Marine Wildlife Strandings and Mortality network and all contributors to the StrandNet database. We would also like to thank turtle rehabilitation facilities staff at Underwater World-SEA LIFE (Mooloolaba, QLD), Australia Zoo (Beerwah, QLD) and SeaWorld (Gold Coast, QLD) for providing access to their data. We would also like to thank Dr Jeffery Miller for his review of this document. + Acknowledgements. The National Center for Atmospheric Research is operated by the University Corporation for Atmospheric Research under sponsorship from the US National Science Foundation. Any opinions, findings and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors also thank the National Science Foundation (ATM 0852406) and the Austrian Science Fund (FWF): [L518]. Lisa Kaser is a recipient of a DOC-fFORTE-fellowship of the Austrian Academy of Sciences at the Institute of Ion Physics and Applied Physics. GMW acknowledges support from the NOAA Climate and Global Change Postdoctoral Fellowship Program. Finally, we thank the US Forest Service, specifically Richard Oakes, for logical support. + We made extensive use of the McMaster Cepheid Photometry and Radial Velocity Data Archive in both the selection of stars for the program and in locating photometric data for use in this paper. We are appreciative of the efforts on the part of Douglas Welch in providing this resource. This material is based on work supported by the National Science Foundation under grant 0097353. We are grateful to Roger Kirby, the Chair of the Department of Physics and Astronomy at the University of Nebraska, for his long and continued support of the operation of Behlen Observatory. + We thank the urological staff of the Buffalo Veterans Administration Hospital for their careful collection of tissue specimens, R. Keenan for his help in adapting methods to the special demands of this project. and T. A. Scott for his invaluable aid in preparing photographic material for morphometry . + This study, article processing charges and the Open Access fee was funded by Pfizer Inc. We thank James McManus, Poh-E Chong, and Ryan Lim of Kantar Health, Singapore, who conducted the survey on behalf of Pfizer. Medical writing support was provided by David Cope, PhD, of Engage Scientific Solutions, and funded by Pfizer. All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval for the version to be published. Disclosures. Rayaz Malik has participated in regional advisory board meetings for Pfizer and Novo Nordisk, and has received speaker fees from Pfizer, Lilly, Novo Nordisk, and Merck Pharma. Siew-Pheng Chan has participated in regional advisory boards for Pfizer, Novo Nordisk, Merck Sharp & Dohme, and Boehringer Ingelheim, and received speaker fees from Pfizer, Novo Nordisk, Merck Sharp & Dohme, Boehringer Ingelheim, Novartis, and AstraZeneca. Chaicharn Deerochanawong has received consulting and/or speaker fees from Abbott, AstraZeneca, Boehringer Ingelheim, Novo Nordisk, Eli Lilly, Sanofi, MSD, and Merck. Chii-Min Hwu has received consulting and/or speaker fees from Pfizer, Merck, Bayer, AstraZeneca, and Sanofi, and research funds from Merck, AstraZeneca, and Sanofi. Raymond Rosales has participated in local and regional advisory boards for Pfizer, received speaker fees from Pfizer, Abbott, Novartis, Ipsen, Boehringer Ingelheim, Otsuka, Sun, and Menarini, and received honoraria as a clinical trial investigator for Pfizer, Novartis, and Ipsen. Emre Aldinc is an employee of, and owner of stocks or stock options in, Pfizer. Koichi Fujii is an employee of, and owner of stocks or stock options in, Pfizer. Bruce Parsons is an employee of, and owner of stocks or stock options in, Pfizer. Chun-Yip Yeung has nothing to disclose. + The authors would like to appreciate and acknowledge Bournemouth University, UK and National 479 University of Sciences and Technology (NUST), Pakistan to support and sponsor for conducting this 480 research. + We thank C. W. CoUmer for providing cDNA clones of D-, S-CARNA 5 and their chimeras, and R. W. Hammond for helpful advice on site-directed mutagenesis. We also thank M. E. Tousignant and L. Geletka for expert assistance. This work was carried out at the USDA, Beltsville Agricultural Research Center, under a cooperative agreement with the University of Maryland, College Park (Project Director, Dr Shain-Dow Kung), and is in partial fulfilment of a Ph.D. degree by G.W. + The authors would like to give their thanks to Ms Chris Jarrett, Senior Assistant Librarian, University of the West of England, Mr David Courtney, Oral & Maxillofacial Surgery Consultant, Derriford Hospital, Plymouth and Dr John Bradford for assistance in undertaking this systematic review. + The aiiilioi wishes to tliank Dr. Howard H. Seliger + The author thanks Dongduk Women's University for their permission of a sabbatical leave to enable this research. + Acknowledgments: Our work had received important English editing from MDPI. + The authors would like to acknowledge the participants of all studies in the manuscript. Funding the Candidate Gene Association Resource (CARe) is supported by contract number HHSN268200625226C from the National Institutes of Health (NIH)/National Heart Lung and Blood Institute (NHLBI), and subcontract number 5215810-55000000041 to C.L.W. A full listing of the grants and contracts that have supported CARe is provided at http://public.nhlbi.nih.gov/GeneticsGenomics/home/care.aspx. Please see information in supplementary information file for a complete list of funding information for each study participating in this manuscript. + Acknowledgments: the European Social Fund and National Resources) (EPEAEK II PYTHAGORAS, the German DFG, the Irish DIAS and the Swedish Vetenskapsrådet and computer centre HPC2N (Umeå) have supported this project. + We thank Dr. Pumtiwitt McCarthy for preliminary studies, Dr. Ronald Raines for advice concerning RNase expression, Dr. Vamsi Kodali for help with the design of the RNase mutant proteins, and Dr. Kiran Madura and coworkers for a gift of the Ubc4 plasmid and for advice concerning protein purification. + Acknowledgments: This work was supported by grant SAN151610 from the Santander Foundation. Grant 2016/UEM08 from European University of Madrid is also acknowledged. + The authors would like to thank Naihe Jing and Shengbao Suo for critical reading of the manuscript. + This research was supported by Grant 53932 from the National Institute of Mental Health to the last author and was supported with resources and the use of facilities at the VA HSR & D Houston Center of Excellence (HFP90-020). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIMH, the National Institutes of Health, the Department of Veterans Affairs or Baylor College of Medicine. The NIMH had no role in the design and conduct of the study; the collection, management, analysis and interpretation of the data; or the preparation, review or approval of the manuscript. We thank Anthony Greisinger and the staff of the Kelsey Research Foundation and Kelsey-Seybold Clinic, who provided consultation and assisted with recruitment. Portions of this work were presented at the 2008 convention for the Association for Behavioral and Cognitive Therapies, November, Orlando, FL. p < 0.001 PSQI = Pittsburgh Sleep Quality Index; GAD = generalized anxiety disorder + The authors thank Dr. Stanko Stojilkovic and Dr. Andrés Stutzin for the critical review of this paper, Dra Marcela Hermoso for TLR-4 antibody, Dr. Jaime Eugenin for A74003, Manuela Jimenez, Felipe Reyes, Belgica Villegas, Yohana Labra, Carolina Beltran, and Gino Nardocci for technical assistance. This work was funded by FONDECYT 11070117, DICYT USACH, and PBCT. A.Penna and E. leiva + We thank Akiko Matsuyama and Junpei Ueno for technical assistance. + We wish to thank A.-L. Holopainen, who was responsible for organising the phytoplankton samplings in Lake Pyhäselkä and interpreting the results during the study period 1987−2009. We also thank the diligent and skilful technicians and laboratory workers for taking and analyzing the samples, K. Kyyrönen for drawing the map figure, and two anonymous reviewers for their valuable comments on the manuscript. Financial support provided by the Centre of Expertise in Biology of Environmental stress and Risk Assessment (University of Eastern Finland) and the Academy of Finland (Project 14159) is gratefully acknowledged. + This work was supported in part by R01CA070896, R01CA075503, R01CA086072, R01CA137494, (R.G. Pestell), the Sideny Kimmel Cancer Center NIH Cancer Center Core grant, P30CA56036 (R.G. Pestell), a generous grant from the Dr. Ralph and Marian C. + The authors are grateful to Mr Muhammad Hussain of Bana International for providing technical support to the Materials Chemistry Laboratory, Government College University. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: BT5205). + Acknowledgments We are grateful to the students for their participation in this project. We would like to thank Dr Susan van Schalkwyk for her insightful comments on the manuscript. This material is based upon work financially supported by the National Research Foundation in South Africa. Financial support from the Foundation for the Advancement of International Medical Education and Research is also gratefully acknowledged. + Acknowledgments-We thank Dr. Rob Reiter for the xenografts and Dr. John Svaren for the critical reading of this manuscript. + Acknowledgment. This research was supported by the German Research Society (DFG grants no. NA 432 and GRK 316), and by the German Ministry of Research (InterVal Berlin Research Center for the Internet Economy). + Financial Support: None. + We would like to thank the Director of Kenya Medical Research Institute for permission to publish the data. We would also like to thank the Educational Assessment and Resource team in Kilifi. Most importantly we would like to express our appreciation for the involvement of the mothers, their children and other family members who participated in this study. This work was supported by KEMRI/Wellcome Trust research programme and the C.P. Trust (UK). Charles Newton is supported by Wellcome Trust, UK. + The author is grateful to Council for the Development of Economic and Social Research in Africa (CODESRIA) for providing small grant for thesis writing for the PhD research project from which the data for this paper is derived. + This study was supported in part by a research grant on Tissue Engineering (H17-014) and a research grant on Allergic Disease and >Immunology (H20-015) from the Japanese Ministry of Health, Labour and Welfare. We thank Vipul N Mankad, MD (the former Senior Vice-President and Chief Medical Officer), Children's Hospital and Research Center Oakland, CA, USA for editorial assistance and critical comments. + N. E. C. was supported by a Wellcome Trust Research Leave Fellowship during the writing of this review. + The author is grateful to Taissa Rodrigues, David Martill, and Philipp Trikolidi for help with literature and to Hans Sues for reviewing and editing the manuscript. This work was supported by the Russian Scientific Fund project 14-14-0015. + Funding for this work was provided by the EPSRC for the project "the use of probabilistic climate data to future-proof design decisions in the buildings sector" (PROMETHEUS) under grant No. EP/F038305/1. + We would like to thank the numerous contributors at each donating institution (see Supplementary Table 1 and http://fcon_1000.projects.nitrc.org/indi/abide/) as well as the www.nitrc.org team for providing the data-sharing platform. We are particularly thankful to Tanmay Nath for support in aspects of website organization and assistance in some aspects of MRI data review. + This work was supported by Slovenian Research Agency within the research program P2-0393; Advanced materials for low-carbon and sustainable society. + Acknowledgments We thank Prof Dr Volker Ewerbeck for his inspiring mentorship and the help with interpretation of the data. + We thank Nicolas Servant for providing the discretized copy number profiles of breast tumor samples, Tatiana Popova for assistance in the analysis of bladder SNP data, and Alain Aurias for his useful advice. This work was supported by the Centre National de la Recherche Scientifique, the Institut National de la Santé et de la Recherche Médicale, the Institut Curie, the Institut National Contre le Cancer, the Ligue Nationale Contre le Cancer. + We thank Tanja Stevens, Institute of Pharmacology and Toxicology, University of Bonn, Germany for expert technical assistance. For performing electron microscopy and providing the images we are very thankful to Joerg Bedorf, Institute of Pathology, University of Bonn, Germany. For intellectual input to the study we are grateful to Noushin Delmdahl, Sartorius Stedim Biotech GmbH, Goettingen, Germany. + The extract from the BCIS registry was provided through the British Cardiovascular Intervention Society (BCIS)/ National Institute for Cardiovascular Outcomes Research (NICOR). We gratefully acknowledge all the hospitals in England and Wales for their contribution of data to BCIS. + We wish to acknowledge the support of the Social and Economic Transformation in Asia Fund for their financial support. + The authors would like to acknowledge the assistance of Dr. Ben Wernham, Dr. Brian Trumpatori and Mr. Jon Hash in the collection of data, and Tonya Lee for manuscript editing assistance. + Acknowledgements. We wish to express our appreciation to Kaija Hyrkas for demonstrating the method on the flower buds of clovers; to the Department of Plant Breeding at the Universityof Helsinki for providing the facilities; to Margret Steinarsdottir for providing photographic equipment; and to the Science Foundation of Iceland for financial support. + We would like to thank Brad Vierra and Mike Bremer for their kind invitation to + Acknowledgements. We are grateful to Regina von Berlepsch, Potsdam, and Pierre Leich, Nürnberg, the ECHO digital heritage online, and the Swiss Electronic Library, E-lib.ch, for providing electronic versions of a number of historic publications and manuscripts. We are very grateul to Ralph Neuhäuser for pointing to the original work by Marius, and to Clara Ricken and Yori Fournier for their help with translations of original sunspot records. This work was partly done in the framework of the ReSoLVE Centre of Excellence (Academy of Finland, project No. 272157) and partly supported by the BK21 plus program through the National Research Foundation (NRF) funded by the Ministry of Education of Korea. J.M.V. acknowledges the support from the Junta de Extremadura (Research Group GrantsGR10131) and from the Spanish Government (AYA2011-25945 and AYA2014-57556-P. D.S. acknowledges Project RFFI 15-02-01407. W.S. received no funding for his contribution to this paper. Support from the COST Action ES1005 TOSCA (www. tosca-cost.eu) is gratefully acknowledged. + We thank Raymond Kwan for assistance with hESC culture, Dr. Nagesh Rao, Ph.D. at the UCLA Clinical Cytogenetics lab for Fluorescence in situ hybridization, Dr. Angela Chen from UCLA OB/GYN for human tissues, Xinmin Li at the UCLA clinical microarray core facility, Jing Wen Tan and Dr. Rachel Kim of the UCLA Broad Stem Cell Center hESC core facility. This work is supported by funds from the UCLA Department of Molecular Cell and Developmental Biology, STOP Cancer Foundation and NIH P01 GM081621-01A1 (to A.T.C., Z.G., M.A.T., H.K.A.M., and K.P.). + This work was supported in part by U.S. National Science Foundation under Grants CNS-1247848, CNS-1l16749, CNS-0964713, U.S. Office of Naval Research under Grants NOOOI4-13-1-0043, NOOOI4-11-1-0865, and National Science Foundation of China (NSFC) under Grant 61372097. + This work was supported by MIUR (Italian Minister of University & Research) project "Sviluppo tecnologico e innovazione per la sostenibilità e competitività della cerealicoltura meridionale MIUR-UE (PON01_01145/1-ISCOCEM)". + We thank the US Department of Energy for funding and supporting this work. We thank the Dow Chemical Company for allowing the use of their kinetic model, which was integrated into NREL's process model for converting biomass to mixed alcohols for the techno-eco nomic analysis. We thank Don Kaczmarek at USFS Southern Research Station and Kenneth Skog at USFS Forest Product Laboratory for their assistance with the water footprint analyses. We also thank Danny Inman and Yimin Zhang for their assistance with the LCA analyses. + The authors acknowledge the European Union FP6 Chemomentum Project (grant: IST-5-033437), Estonian Science Foundation (grants: 5805, 7709), Estonian Ministry for Education and Research (grants: SF0182644Bs04, SF0140031Bs09, IUT34-14), and European Union Regional Development Fund (grant: 3.2.1201.13-0021). + We thank E. Dierichs-Schmitt and B. Mühlbauer for technical assistance. We are also grateful to M. Heisenberg + The authors are grateful to their colleagues and primary medical workers from Kangjian, Xujiahui, Huamu, Weifang, Gongyequ, and Huangdu CHCs who assisted the field data collection. They are also grateful to Professor Doris Young (Department of General Practice, University of Melbourne, Carlton, Melbourne, VIC, Australia) for her helpful comments on this study. This study was supported by Project of Shanghai Foundation for Senior Citizens (S15027), Construction Project of Key Discipline of Public Health in Shanghai (12GWZXl001), and Shanghai Municipal Commission of Health and Family Planning, Key Developing Disciplines (2015ZB0601). + Ce rapport est issu d'une collaboration entre le programme pour le développement économique et la création d'emplois locaux (LEED) du Centre pour l'entrepreneuriat, les PME et le développement local de l'OCDE et la direction générale de l'emploi, des affaires sociales et de l'inclusion de la Commission européenne. + The authors would like to thank Museum of London Archaeology and Steven Birch and Martin Wildgoose for access to the samples shown in this study. Grateful thanks to Jacqueline Towers and Andy Gledhill, University of Bradford for their advice and comments on the diagrams. We are indebted to the helpful comments of the reviewers. + Acknowledgements: We thank Herbert Schwegler for advice concerning the histology of testis. This work was supported by the Deutsche Forschungsgemeinschaft, the Thyssen Stiftung and the Fonds der Chemischen Industrie. + We greatly appreciate advice on data analyses and critical reviews from Sang-Hun Oh, Sandra Floyd, Daniel Potter, and Mike Sanderson and assistance in hybrid analyses by Dale Cox. We thank David Smyth, Charles Gasser, Yuval Eshed, Stuart Baum, Andreas Franzke, and the members of the Bowman laboratory for fruitful comments and insights. We also thank three anonymous reviewers for improving this manuscript. We thank people and institutions who kindly provided plant material, including Ellen Dean at the University of California Davis Herbarium. This work was supported by a Beckman Young Investigator Award (to J.L.B.). + This work was supported by the grant from the Sci-Tech Project Foundation of Guangdong Province (No. 2012B031800287). + Acknowledgments The authors would like to thank S. Hauser for preparing the test setup. This work has been supported in part by the Nano-Tera research program (ULP-Logic) funded by the Swiss Confederation. + Additional funding provided in part through the Arthur and Julie Woodrow Chair, a Joan Klein Jacobs and Irwin Mark Jacobs Senior Scientist Endowed Chair. + We thank Sabine Häder for technical assistance, Cristina Paulino, Gerhard Hummer, Klaus Fendler and Christine Ziegler for discussion, and Pavol Skubak for the beta version of the Crank2 software. Crystals were screened at the beamlines id23.1 and id29 of the European Synchrotron Radiation Facility (ESRF)/Grenoble and data were collected at the Max Planck beamline PXII of the Swiss Light Source (SLS). This work was funded by the Max Planck Society; the Frankfurt Cluster of Excellence Macromolecular Complexes; the Frankfurt International Max Planck Research School; and SFB 807 'Transport and communication across biological membranes'. + The author thanks Hiroshi Hirai and Kazuo Murota for careful reading and numerous helpful comments. The author also thanks the referees for helpful comments. In particular, Algorithms II and III (for Types II and III, respectively) are suggested by one of the referees. This research was supported by JSPS Research Fellowship for Young Scientists. + This investigation was sponsored by the Grant Number 1R21 AR056416 from NIAMS. Dr. Xiaoling Fu was supported by the Innovation & Entrepreneurship Doctoral Fellowship from the Stevens Institute of Technology. + We are thankful to Dr. Hua-Lin Wu and Dr. Guey-Yueh Shi (Department of Biochemistry, Medical College, National Cheng Kung University, + The authors would like to thank Madison Stroup, Nate Spofford, Emily Maxwell, Richard Bruno, and Jill Waldman for their contributions to subject recruitment and data collection. This work and the authors were supported by a grant from the National Institute of Neurological Disorders and Stroke, K08 NS52147 (BJN), the Dana Foundation (BJN), and grants from the National Institute on Alcohol Abuse and Alcoholism, T32 AA007468-24 (KMS) and F31-AA019866 (MMH). + We thank S. Beckmann and F. Langenberg for their analytical support. Financial support was provided by the German Federal Ministry of Education and Research (BMBF) grant 03G0806B (CARIMA) and is gratefully acknowledged. This is a NIO contribution. Data will be available at www.pangaea.de. + The authors would like to express their thanks to Drs. Niels C. Bols and Lucy Lee (University of Waterloo, Canada) for providing RTL-W1 cells. + We would like to thank all the co-authors of our publications along the direction of 'layering as optimization decomposition'. + The authors thank all of the investigators and all supporting staff. + The authors thank the nursing students of the University of Fort Hare, for their participation in this study, as well as Professor C.M. Walsh of the University of the Free State for her meaningful contributions. Partial funding for this study came from the Govan Mbeki Research and Development Centre (RDC) and the University of Fort Hare. + The authors are thankful to Professor Y.Iwashimizu at Ritsumeikan University, Associate Professor E.Matsumoto at Kyoto University, and Messrs. T.Miya, F.Fujita and F.Nishiyama at Sonix Co. for useful advice to establish this measurement system. We also thank Dr. K.Kimura for the supply of SNCM439 steel alloy specimens. + The authors are deeply grateful to Laurent Praly and Alessandro Astolfi for helpful suggestions. + We are grateful to T. H. de Koker, Department of Microbiology, University of Stellenbosch, for doing the computer analysis of the RAPD-PCR profiles. + This work was supported by the Robert S. McNamara Fellowships Program and the UNDESERT (EU FP7 243906), "Understanding and combating desertification to mitigate its impact on ecosystem services" funded by the European Commission, Directorate General for Research and Innovation, Environment Programme for financial support. + This research was motivated and in part supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under Award Number R01DK101593. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors appreciate Austin B-Cycle data provided by the system's Executive Director, Elliott McFadden, in additon to the system planners who shared their insights through interviews. The authors would like to acknowledge the valuable comments of three anonymous reviewers on an earlier version of this paper. The second author would like to dedicate her part of the research efforts to the memory of her dear father, Erdinc Sener, who passed away in October 2015. + The authors thank Dr. Siti Norlailli Aiza, Dr Nazirah and the staff nurses at the Wound Clinic (Sister Julizaayu, Sister Norita, + Acknowledgements. We thank the two anonymous reviewers for their constructive and helpful suggestions on earlier drafts of this paper. J. M. C. Pereira participated under the scope of research project FUME -Forest fires under climate, social and economic changes in Europe, the Mediterranean and other fire-affected areas of the world, European Commission FP7-ENV-2009-, Grant Agreement Number 243888. + We thank Dr Y Gille of the bacteriology department, Hopital de l'Antiquaille, Lyon and Dr Y Li of the histology department, Alexis Carrel Medical University, Lyon for their technical help. + All computational experiments were carried out on the Grid 5000 experimental testbed, which is being developed under the INRIA ALADDIN development action with support from CNRS, RENATER, and several universities as well as other funding bodies (see https://www.grid5000.fr). + The work presented herein was funded in part by the Advanced Research Projects Agency -Energy (ARPA-E), U.S. Department of Energy under Award Number DE-AR0000149. Computations were performed in Joint Supercomputer Center of the Russian Academy of Sciences. + The present contribution presents some results of a Research Work currently carried on in the Dipartimento di Architettura e Urbanistica of the Politecnico di Bari and funded by the Puglia Regional Administration: PE077 PARCHIAPERTI (POR 2000). + We would like to thank M. Carena, M. Pietroni, M. Quirós and C.E.M. Wagner for useful discussions. + We thank Hanna Ten Brink and Mårten Söderquist for assistance in the laboratory. + The authors thank Stephanie Schmidt for her assistance with the collection of biological specimen. KFAL was supported by Hills Pet Nutrition and AEJ by the German Research Foundation. + All experimental work was completed at, and funded by Nottingham Trent University, School of Architecture, Design and Built Environment. There is no conflict of Interest. + We wish to thank Dr Bruce Schaar for critical reading of the manuscript and Dr Tim Schallert for helpful suggestions. + The authors would like to thank Dr J. A. Antonioli for the statistical analysis and Ms Anne Luyet-Klein for expert technical assistance. + My great appreciation goes to my advisor Werner Stuetzle. + We thank the Secretaría de Cultura de La Rioja and the Administración de Parques Nacionales (APN) for granting permits to work in the Talampaya National Park. We are also indebted to the rangers of the Talampaya National Park for their help in the field and discussion with José F. Bonaparte about the Chañares Formation. We thank the following technicians that helped during data collection: Maximiliano Iberlucea (MACN-CONICET), Sergio de la Vega (CRILAR-CONICET), and Tonino Bustamante (CRILAR). + This research was supported by Dr. Bo-Young Oh with data analysis. + The authors are grateful to the New Zealand Meteorological Service for permitting access to the Albert Park enclosure and access to the Lambrecht gauge chart. They are also indebted to the Research Committee of the University of Auckland for financial assistance. + The authors are grateful to Pat Hall and Kate Grier for providing original copies of Figures 1 and 3 , respectively. This conference has been organized with the support of the Department of Physics and Astronomy "Galileo Galilei", the University of Padova, the National Institute of Astrophysics INAF, the Padova Planetarium, and the RadioNet consortium. RadioNet has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 730562. + The authors cordially acknowledge the staff of Tomishiro Central Hospital, Okinawa, Japan, especially Kaori Ichimatsu, at the Nutrition Division, for the diet protocol and Hiroe Shinjo, Saeko Nakamura, Ayano Kamiyama, Merina Ohta and Megumi Yonaha, at the Diabetes and Lifestyle-related Disease Center, for their devoted secretarial work and Hiroyuki Oshiro, Okinawa Shokuryo K.K., Okinawa, Japan for BR and WR. The present study was supported by grants from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) and the Ministry of Health, Labour and Welfare (MHLW), Japan. MEXT and MHLW had no role in the design, analysis or writing of this article. The authors' contributions are as follows: Mi. S. designed the present study, analysed the data and wrote the manuscript; M. H. was involved in patient management, data collection and discussion; R. K. performed the vascular function study; Ke. Y., H. T., C. K., Ko. Y., S. T., Ma. S. and H. M. contributed to the discussion. None of the authors has any conflicts of interest. + We thank Prem Prakash Khushwaha for his help in cloning L36A/M63L CcdB and Chetana Baliga, Nandini Mani, Anushya P. and Farha Khan as well as other members of the RV laboratory for useful suggestions. + This work was supported in part by U.S. Public Health Service Grant AM-05285 to the Institute of Nutrition Sciences, Columbia University, and the American University of Beirut. We acknowledge the technical assistance of R. J. Thompson. + John Lis generously supplied SPT5 antibodies and plasmids. The Bloomington Drosophila Stock Center supplied flies. + DJK is supported by a Career Development Fellowship from the Australian NHMRC and Discovery Grant from the Australian Research Council. The research of JR has been funded by several grants from the Deutsche Forschungsgemeinschaft. PT was supported by a Project Grant from the Australian NHMRC. RZ was supported by the Research Agency of Slovenia (grant numbers P3 0310, J3 4051, J3 4146, J3 3632, J3 6790) and by CipKeBip. The authors declare no conflict of interest related to this publication. + Acknowledgements BOSC is a community effort. We thank all those who made BOSC 2016 possible, including the speakers and panelists, poster presenters, organizing committee, review committee, our sponsors, and ISMB SIG chair Steven Leard. The 2016 BOSC organizing committee consisted of Nomi Harris and Peter Cock (Co-Chairs) along with Brad Chapman, Chris Fields, Karsten Hokamp, Hilmar Lapp, Mónica Muñoz-Torres and Heather Wiencko. The members of the review committee are listed on the BOSC 2016 page. + We thank the Boeke lab for providing us with the magic marker, Gregg Wildenberg for help with cell sorting, Miguel Coelho and Phoebe Hsieh for help with library generation, Bertus Beaumont, Michael Desai, Vlad Denic, Cassandra Extavour, Michael Laub, and Melanie Mueller for critical reading of the manuscript, Roland Wedlich-Soldner and members of the Murray and Nelson labs for useful discussions. This work was supported by grant GM06783 from the National Institute of General Medical Sciences. LL gratefully acknowledges support from the Netherlands Organization for Scientific Research through a Rubicon grant, as well as from the Human Frontiers Science Program through a cross disciplinary post-doctoral grant. + This study was supported by grants RD2017-016 and CTU106-P-16 from the National Yang-Ming University Hospital, Yilan and CentralTaiwan University of Science and Technology, Taichung, Taiwan, respectively. + This study has been funded by Hungarian Scientific Research Grant (OTKA K100295 to Peter Igaz; OTKA, PD100648 to Attila Patócs) and Technology Innovation Fund, National Developmental Agency (KTIA-AIK-2012-12-1-0010). + We thank Beth Lin and Dr. Joseph S. Wall at the Brookhaven National Laboratory STEM Facility for their assistance in sample preparation and STEM data collection. + The authors wish to thank R. A. Cowley, M. Hagen, U. Steigenberger, and I. P. Swainson for many helpful discussions, and the EPSRC for financial support. + We would like to thank the Genentech sequencing core facility for sequencing the CRISPR guide RNA abundances. We also thank Jeff Settleman and Shiva Malek for useful discussions. + This research is supported by a Royal Society Research Professorship and ERC AdG VERIWARE. + We are grateful to Gilles Fischer for fruitful discussions and his invaluable advice, and to Marie-Pauline Beugin and Kenny Dubois for L. kluyveri strain constructions and meiotic protocols set up. + We gratefully acknowledge D. Schindler for extensive consultation, editorial guidance, and support in the field. We thank friends and colleagues in the University of Washington Alaska Salmon Program for assistance in the field, D. DeAvila at the Center for Reproductive Biology at Washington State for laboratory analyses of cortisol and J. Dickey at the Northwest Fisheries Science Center, NOAA for laboratory analyses of sex steroids. We also thank K. Forsgren, C. Vynne, and S. Wasser for methodological guidance and consultation. + We thank Wendy Price for coordinating necropsies and histopathological services. + The authors and editors of Expert Review of Gastroenterology & Hepatology would like to sincerely apologize for any confusion or inconvenience this may have caused. + This work has been partially supported by the Polish National Centre for Research and Development project no. PBS1/A3/14/2012 "Sensor Data Correlation Module for Attack Detection and Decision Support" and by the European Regional Development Fund the Innovative Economy Operational Programme, under the INSIGMA project no. 01.01.02-00-062/09 and under the project "Cyber Security Laboratory" no. 02.03.00-14-106/13. + This study was supported by the National Natural Science Fund of China (No. 41601336), the National Basic Research Program of China (973 Program, No. 2014CB238906), and the Beijing Natural Science Fund (Development of heavy metal immobilization agents and its control mechanism in the process of urban sewage sludge amended sandy soil, No. 8152025). + The authors thank Professor Mary Molokwu for assistance with data collection. JCG was supported by CONACyT grant no. 152666. + This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior (CAPES). + We thank R. S. Rosa for his help in identifying the stingray; M. J. A. Vilela and O. C. Forster for their help in identifying Pimelodella gracilis; M. T. Silveira, K. C. Barbaro, D. M. Rangel, M. Lira and S. H. P. Moura for their field assistance; I. Sazima for improving our manuscript. D. Garrone Neto received financial support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for studies on stingrays in the Upper Paraná River. + The authors would like to acknowledge Dr. Robert Reid for his assistance with creating Figure 2 . + The authors acknowledge the use of the Consortium for Functional Glycomics' Glycan Microarray and Core H of the CFG for analysis of the binding assays. We also thank Jessy Tremblay for his help with the confocal imaging and flow cytometry. Furthermore, we are grateful for Micheline Letarte's assistance with transmission electron microscopy, Dr Carole G. Campion's participation in the in vivo experiments and Dr Dominique Trudel for her insightful comments. + This work was supported by the National Natural Science Foundation of China under Grants 61074073 and 61034005, the Fundamental Research Funds for the Central Universities (Grant nos. N130504002 and N130104001), and Synthetical Automation for Process Industries (SAPI) Fundamental Research Funds 2013ZCX01-07. + This work was supported in part by the National Natural Science Foundation of China (61271320 and 60872102) and the Small Animal Imaging Project (No. 06-545). The authors would like to thank Dr. Yonggang Zhao for inspiring discussion, Liming Tan for contributing to the project, and Dr. Jinliang Pen for supporting the experiments in fluorescence imaging. We are thankful to the anonymous reviewers for their valuable comments that greatly helped to improve this paper. + We thank Dagmar Lewejohann for expert technical assistance and Leila Matter, Dennis Kahlisch, and Prof. Dr. Udo Schmitz for critical reading of the manuscript. Received December 19, 2003; returned for revision January 13, 2004; accepted January 13, 2004. + This study was supported by research grants to DLG from the National Institute of Neurological Disorders and Stroke (NIH R01 NS029563), the National Institute of Mental Health (NIH R01 MH096120), and the National Science Foundation (IOS 1121690). We thank S Apichon, B Cheema, ME Kimbrough, V Kong, D Miresmaili, EJ Moc, A Rangchi, R Sumner, X Zhao and A Zobi for assistance with the behavioral training, and S Chen, A Bédécarrats, FB Krasne and WS Sossin for helpful comments on the manuscript. + We acknowledge funding by the Austrian Science Fund (FWF) under grant numbers P21463-N22, SFB049-Next Lite, SFB041-VICOM and V193-N16, and by a SIRG grant from the ERC. + We acknowledge the grant support of NHLBI HL57529, NHLBI HL101959 and NIA AG03653. This report is based on a larger project with additional primary contributions by Dr. Matthew Muldoon, Julie Price, and Dr. Carolyn C. Meltzer. Study sponsors did not have a direct role in this study. + Grateful thanks are extended to Jersey Heritage, the Société Jersiaise, the States of Jersey Department of Planning and Environment, and Jersey Digimap; to the NERC, AHOB 3 and CAHO for excavation funding. BS's contribution forms part of the AHOB 3 and 'Pathways to Ancient Britain' projects, funded by the Leverhulme Trust and the Calleva Foundation. GS was funded by the QRA. We also thank Lucy Bolton, James Cole, Sam Griffiths, Andy Needham, Dave Underhill, Karen Ruebens and Rebecca Wragg-Sykes. + Acknowledgments This work was supported in part by a Grant-in-Aid for Scientific Research and a High Technology Research Center Project, from the Ministry of Education, Culture, Sports, Science and Technology of Japan. + Acknowledgements. I am grateful to Roland Diehl and to the referee, Mark Leising, for valuable comments on the manuscript. + We would like to thank David Poeppel, Diogo Almeida, and Philip Monahan for helpful comments on earlier versions of this manuscript. + The authors are very grateful to Emeritus Professor Sajiro Makino, M. J. A., for critical reading of the manuscript. The senior author is grateful to Professor Fred I. Kamemoto of the University of Hawaii for his invariable advice to the present study. This study was supported partly by a Grant fromm the Nihon University and Nihon University Ota Overseas Academic Fund. + Acknowledgements. The Fermi LAT Collaboration acknowledges generous ongoing support from a number of agencies and institutes that have supported both the development and the operation of the LAT as well as scientific data analysis. These include the National Aeronautics and Space Administration and the Department of Energy in the United States, the Commissariat à l'Energie Atomique and the Centre National de la Recherche Scientifique. Institut National Array is a joint project between the Smithsonian Astrophysical Observatory and the Academia Sinica Institute of Astronomy and Astrophysics and is funded by the Smithsonian Institution and the Academia Sinica. This research was funded in part by NASA through Fermi Guest Investigator grants NNH09ZDA001N and NNH10ZDA001N. This research was supported by an appointment to the NASA Postdoctoral Program at the Goddard Space Flight Center, administered by Oak Ridge Associated Universities through a contract with NASA. We thank Neil Gehrels and the Swift team for scheduling our Target of Opportunity requests. This research was enabled in part through Swift Guest Investigator grants 6090777. We thank Silvia Rainò for useful comments and suggestions. + This research was financially supported by the National Science Council of Taiwan (NSC95-2113-M-027-001). + We acknowledge John Bartlett (Forsyth Institute) and Toshihiro Sugiyama (Akita University) for kindly providing the ameloblast-like cells. We thank Sandra Wiley for technical assistance and Lisa Kinch (UT Southwestern Medical Center) for sequence analyses. We also thank Gregory Taylor and Carolyn Worby for carefully reading and editing the manuscript and members of the JED laboratory for insightful discussions. + This work was supported in part by PHS research grants EY 02120 and EY 01765 (Dr Quigley, and Wilmer Institute Core grant), EY021500 and support from the BrightFocus Foundation (Dr. Nguyen) and by unrestricted support from Saranne and Livingston Kosberg and from William T. Forrester. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors would like to thank Peter Campochiaro for his expertise in assisting with electroretinography. + We would like to thank the ESPCI neurobiology team of Zsolt Lenkei, especially Diana Zala and Maureen McFadden for animal tissues and advice on biological questions, and Danijela Vignjevic's team at the Institut Curie, in particular Ralitza Staneva for studies on cancer in small animal models. We thank all the LLTech staff for their support, the Curie Hospital and the Institut Gustave Roussy for allowing us to make preliminary tests on human tissues, Amaury Badon for the preliminary tests on SVD and for useful advice for future development, Amy L. Oldenburg for communicating her preprint before publication and finally Kate Grieve for her time and valuable suggestions. + We acknowledge the generous support of Gopal Savjani and Dr. Jehangir Mistry of Diagnostic Systems Laboratories, Inc., for the support of this study. + The authors would like to thank Prof. Thomas Kailath for a helpful discussion during the preparation of the paper. + We gratefully acknowledge the help and support of the PS beam staff and of the numerous technical collaborators who contributed to the detector design, construction, commissioning and operation. In particular, we would like to thank G. Barichello The experiment was made possible by grants from the Institut Interuniversitaire des Sciences Nucléair-es and the Interuniversitair Instituut voor Kernwetenschappen (Belgium), Ministerio de Educacion y Ciencia, Grant FPA2003-06921-c02-02 and Generalitat Valenciana, grant GV00-054-1, CERN (Geneva, Switzerland), the German Bundesministerium für Bildung und Forschung (Germany), the Istituto Nazionale di Fisica Nucleare (Italy), INR RAS (Moscow) and the Particle Physics and Astronomy Research Council (UK). We gratefully acknowledge their support. This work was supported in part by the Swiss National Science Foundation and the Swiss Agency for Development and Cooperation in the framework of the programme SCOPES -Scientific co-operation between Eastern Europe and Switzerland. + The authors thank Mr Phil Dyson and Mr Ian Rankin (Northern United Forestry Group, Bendigo, Australia) for expert advice on Australian saltbushes and Acacia species and their applications in reclaiming salinity-affected landscape. This work was supported by the Australian Research Council grant LP0990326. + The authors are grateful for the assistance of Benoit Lebot, Olivier Sidler, and Alan Meier for helping with the acquisition of SEM 10 electrical meters used in the energy use data collection, and to Lesia Whitehurst, Leviticus Bull, and Lareisha Lewis for visiting Ghana to help launch and encourage the refrigerator energy use measurement program. + We would like to thank: Professor Richard Widmer, The Dental Department, the Children's Hospital at Westmead; Magda Baka, Ultrasonographer, Department of Medical Imaging, the Children's Hospital at Westmead; Department of Clinical Sciences, the Children's Hospital at Westmead; Allergan (Australia) for supplying the BOTOX used in this study. + We wish to express our appreciation to Mr. Okuda, + This research was supported by the US Department of Homeland Security. The author wishes to thank Tanner Keil, Jennifer McMillan, and Pamela Westphal for their assistance with data collection and analysis, as well as the reviewers for their thoughtful and directed feedback. + The study was supported by the National Natural Science Foundation of China, the project titled regulatory mechanism of the initial kinetic study of acupuncture effects no. 81173204. + We would like to thank all the participants of this study and Dr. Noriyoshi Yamamoto, the director general of the National Sanatorium Nagashima-Aiseien, as well as Drs. Tsutomu Etani, Kentaro Hatano, Mitsuhiro Okano, Kazunori Nishizaki and Masayuki Okochi for clinical and practical guidance in otorhinolaryngology and reconstructive surgery. + This work was funded by the Research Fund of the University of Pecs, Faculty of Medicine ( AOK-KA 2013/19) and supported by Janos Szent agothai Research Centre, University of Pecs. We thank Professor Dr. Peter Davies at the Albert Einstein College of Medicine, Bronx, NY for providing the PHF1 antibody. EK, JP, SVP and RP performed the research; TN and AM designed the research study; JP contributed essential reagents or tools; EK and TN analysed the data; AM and TN wrote the manuscript. + This work was supported by a start-up grant from Luoyang Institute of Science and Technology. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: EZ2292). + We would like to thank Agromas, Federal Agriculture Marketing Authority (FAMA), Kedah, Malaysia for supplying the tualang honey and a Research University Grant (grant number 1001/PPSP/8120205) for providing the financial support for this study. + The authors would like to thank the students and teachers who participated in the study and BioMed Proofreading for editing the final version. + The authors are grateful to the National Natural Science Foundation of China Project No. U1702252 and 51664037. + This work was supported by the U.S. Food and Drug Administration's Critical Path Initiative and in part by the National Institute of Health (Training Grant T32-HL076124 Cardiovascular Bioengineering Training Program) for Mr. Olia. We would like to thank J. Andrew Holmes from the Swanson Center for Product Innovation at the University of Pittsburgh, Swanson School of Engineering for sharing his technical and fabrication expertise. + The authors would like to express their thanks to all participating patients and general practices. We also thank Birgit Kemperdick for her project management skills, Corina Güthlin and Jennifer Engler for their comments on a former version of the manuscript, Jonas Biedermann for his assistance regarding the interview guide, and Phillip Elliott and Dagmar Dornbierer for the English-review of this paper. + This work was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases Grant 5RO1-AR-053343-07 (S.S.). We would also like to acknowledge our anonymous reviewers whose thoughtful suggestions enabled us to substantially improve the manuscript. + The first author is supported by the Dutch Organization for Scientific Research (NWO), under grant 305-00-802. Part of the present research was done while the second author was visiting the Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD. We received kind help from John Carroll, Job Honig, Kees Koster, Theo Vosse and Hans de Vreught in finding the grammars mentioned in this paper. Generous help with locating relevant literature was provided by Anton Nijholt, Rockford Ross, and Arnd Ruflmann. 3As remarked before by Nederhof (1993), the algorithms by Schabes (1991) and Leermakers (1989) are not really related to LR parsing, although some notation used in these papers suggests otherwise. + We thank Lauren Leonardson for providing excellent technical assistance and expertise. + The authors thank Gabriella Molnar for her assistance in binding assays. This work has been supported by U.S. Public Health Services, NIH, and NIDA (Grants RO1 DA 13449 and PO1 DA 006284). + The Society is a charity with a broad based membership that supports its mission and aims. For more information visit www.rgs.org/rhed + Acknowledgements complaints. He also provided some of the graphics showing EMR deployment in his offices, which helped in our coverage of that topic. We also appreciate the advice, encouragement and assistance of Linda Rastelli, the editor of Wiley's Understanding Autism for Dummies, who guided us in the search for a publisher, and provided the idea for the practice vignettes that we wrote for the book. Thanks to all of the personnel at Wiley for their abundant support and encouragement in this endeavor. We thank Robert Bruegel, PhD who provided advice and suggested the Crucial Decisions overall organization of the book. Our thanks to our friends, Jim and Leila Armstrong for their ongoing encouragement of this project and a place to rest in the midst of the writing. The authors' special thanks and deep gratitude goes to Karen Gasch, who handled graphic design and manuscript formatting services through various rewrites of many chapters and numerous revisions to the text that created text reflows, necessitating additional formatting changes. Finally, thanks to other MSP team members for their picking up some of our daily workload that made time for writing this book possible. + This study was partially funded by the U.S. National Science Foundation. The authors are grateful to the comments made by the participants of the Asian-Pacific Forest Convention held in Beijing, China, during 7-11 November 2011. + The authors would like to acknowledge all patients for their participation in this study. This study was supported by research grant from the Association de Lutte Contre le SIDA (ALCS, FASP 2011). + We thank S Suzuki, G E Santoro and G Ortiz for useful discussions and comments. This work was supported by the Grand-in-Aid for Scientific Research on the Priority Area "Deepening and Expansion of Statistical Mechanical Informatics" by the Ministry of Education, Culture, Sports, Science and Technology of Japan and by the CREST, JST. + The authors would like to acknowledge Hamadan University of Medical Sciences for providing financial support for this study. + The authors would like to acknowledge University of Wisconsin Department of Surgery biostatisticians Glen Leverson, Ph.D., and Ying Shan, M.S., for their assistance with statistical analysis. The authors would also like to acknowledge Levi Brown, B.A., and William Bleifuss, B.S., for their assistance with data analysis. Funding: This research was supported by National Institutes of Health grant number 1R21DC011130-01A1. CAJ was also supported by T32GM007507. + The authors are grateful to the management of CARe Keralam Ltd for providing facilities and encouraging us to do this work. + "Ve are grateful to R. Le E. Hooke, M . Kuhn, P. Cutler and M . Nakawo for their valuable comments and suggestio ns on the first draft of this paper. + We are grateful to Dr. G.A. Lazkov (Institute for Biology & Pedology, National Academy of Sciences of Kyrgyzstan) for his original collections used in this study and for useful discussion, and to Dr. E.E. Severova for her help with SEM photos of pollen. We thank Prof. M.G. + We thank the Spitzer team at IPAC and in particular Nancy Silbermann for scheduling the Spitzer observations of this program. This work is based on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. Support for this work was provided by NASA through an award issued by JPL/Caltech. This work is also based on observations made with Kepler, which was competitively selected as the tenth Discovery mission. Funding for this mission is provided by NASA's Science Mission Directorate. The authors thank the many people who generously gave so much of their time to make this mission a success. Some of the data presented herein were obtained at the W. M. Keck Observatory, which is operated as a scientific partnership among the California Institute of Technology, the University of California, and the National Aeronautics and Space Administration. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. + Acknowledgments The authors acknowledge Dr. Elena Romano from the Centre of Advanced Microscopy (CAM), Department of Biology, University of Rome "Tor Vergata," for her assistance in the use of the facility, Roberto Targa for his assistance in the composition of figures, and the anonymous reviewers for their constructive comments. This research was partly supported by CNR-IAMC, National Research Council, Institute for Coastal Marine Environment UO Oristano, Italy. + The authors thank Prince of Songkla University for financial support through the Crystal Materials Research Unit. NB also thanks Prince of Songkla University for a postdoctoral fellowship. The authors also thank Universiti Sains Malaysia for the Research University Grant No. 1001/PFIZIK/811160. Supplementary data and figures for this paper are available from the IUCr electronic archives (Reference: SJ5220). + Support for this work came from a National Institute of Environmental Health Sciences grant (NIEHS: 5R01ES012459-05S1) awarded to Dr. Grattan. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NIEHS. + We acknowledge the contributions of the multidisciplinary development team at Gaia, who designed and produced the Internet intervention. + I am grateful to the N.E.R.C. for a research studentship, to Dr S. R. J. Woodell, my supervisor, for his helpful comments on the first draft of this paper, and Professor F. R. Whatley, F.R.S., for providing research facilities in the Botany School, University of Oxford. P. J. Lambley allowed me to quote from his unpublished data. + Acknowledgements. We thank the TCC'11 reviewers for useful comments. + We thank anonymous reviewers for their comments and suggestions, which led to improvements in the presentation of results. + We would like to thank Jenny Higgins for technical assistance with flow sorting. + We thank the organizers and all others who helped make the symposium successful. We thank T. Onogi for fruitful discussions. The work of J.K. was supported in part by the Monbu-kagaku-sho Grant-in-Aid for Scientific Research No.C-13640289. The work of C-F.Q. was supported by the Grant-in-Aid of JSPS committee. + We thank all the students for voluntarily participating in our experiments. This study was supported by a Grant-inAid from the Japan Society for the Promotion of Science Fellows . + Thanks are due to Dr. R. J. Roberts and Dr. C. F. So0 Hoo, Division of Entomology, C.S.I.R.O., for the original material.of 0. tindalei and for discussions on the role of this species in pastures in the Armidale district; to Mr. A. Neboiss, National Museum of Victoria, for the loan of s cimens; and particularly to Mr. and made useful comments. The photographs were taken by Mr. C. Lourandos. N. B. Tindale, South Australian Museum, A r elaide, who read the manuscript + The housing for the confocal prototype was designed by Mike Cook and assembled and mounted by Scott Smith and Bill Miller. Thanks also to Arthur Woll for access to the CHESS G1 beamline for prototype testing and to the CHESS machine shop staff for fabrication. This work is based upon research conducted at the Cornell High Energy Synchrotron Source (CHESS), which is supported by the National Science Foundation and the National Institutes of Health/National Institute of General Medical Sciences under NSF award DMR-0936384, using the Macromolecular Diffraction at CHESS (MacCHESS) facility, which is supported by award GM-103485 from the National Institute of General Medical Sciences Health, National Institutes of Health. WRZ and RW acknowledge support from NIH/NIBIB P41 RR04224. + We would like to thank Mary LoPresti, Edward Voss, and Kathrin Wilczak for their assistance in MS sample preparation, and Piero Dalle Pezze for help with identifiability analysis and parameter estimation. Funding: This work was supported by NIH (DA10044 to ACN and PG). Proteomic analysis was supported by the Yale/NIDA Neuroproteomics Center (DA018343 + Acknowledgments. The author thanks Prof. W. Zajączkowski for very fruitful discussions during the preparation of this paper. This research was partially supported by the Polish KBN Grant 1/P03A/ 021/30. + Tandem mass spectrometry analyses were performed at the CNB Proteomics Facility, which is a member of ProteoRed and follows the quality criteria set up by ProteoRed standards. The CNB Genomics Facility assisted us with performing the microarray analyses. + We thank Sergio Menchero for help in embryo work, Laura Caporiccio for animal husbandry and technical assistance, the CNIC Genomics and Bioinformatics Units for help and assistance, José Luis de la Pompa for reagents, the ICTS-CNME (UCM) for technical support, and Simon Bartlett for English editing. + The authors thank Sasha and Ann Shulgin for inspiration in the writing of this review, and acknowledge the generous funding provided by USPHS Grant DA020645 and by the College on Problems of Drug Dependence. + The authors wish to thank Jesse Roth, Patrick J. Scannon and Paul Ruben, for critical reading of the manuscript and helpful comments. + We thank Jeong Tae Kwon, Michael D. Reed, Daniel Cho, and Shivani Bigler for assistance with experiments and thank Dr. Barbara Noro and Dr. Charles Jennings for critical reading of the manuscript. + We are very grateful to Marv Wickens and Kathy Barton for critical reviews of early drafts of the manuscript. We also would like to acknowledge Alex Puoti for sharing unpublished data, and Alex Puoti and Finn-Hugo Markussen for helpful comments on later drafts. We would also like to thank Andrew Fire for providing pPD50.14 and pPD95.81 DNA constructs and Dali Gao for providing an unpublished lag-2 construct. M.G. was supported by a NIH Molecular Biosciences Training Grant. J.K. received funding from the NIH and NSF, and is an investigator of the Howard Hughes Medical Institute. + This research was supported by the U.S. Department of Energy under contract W-31-1O9-ENG-38 and by the U.S. Army Strategic Defense Command. + We thank Sankyo Seiyaku Inc. for supplying Mevalotin®, pravastatin sodium and Yamanouchi (Astellas) Pharmaceutical Co, Ltd for supplying rhBMP-2. + The authors are thankful to The Advanced Veterinary Manufacturing Company (Palestine) for supporting this research. + The authors thank Chen Zhixiong, Shuhong Yu, Jianning Liu (LC Sciences, Hangzhou, China) and Jie Zhang (Kunming Institute of Botany, Kunming, China) for technical assistance and data analysis. + We would like to thank for the financial support provided by the following: ALF Research Grant, Stockholm County Council; Chinese Scholarship + We are indebted to Jill Arnold, Linlin Chen, Kerry Demers, Elizabeth Frost-Hawes, Mira Kaufman and Mildred Wolff for their expert help in conducting the Health Professionals Follow-up Study. We also appreciate the contributions of Charlene Franz, Charlotte Bukowski, and Mary Ann Grigg in the laboratory of Dr Longcope. This work was supported by NIG grants CA55075, HL35464 and DK45779. + This study was supported by Grant no. 31171036 to Liang Peng from the National Natural Science Foundation of China. + The authors thank Aroosa Allah Yar and Arooj Allah Yar, students at Hailey College of Commerce, Punjab University, Lahore, Pakistan, and Abeer Asfaq, Azfar Hameed, Hamza Bukhari, Zahra Malik and Nur Ghani, students at CMH Lahore Medical and Dental + We are grateful to a number of people for their assistance in the preparation of this work. + This project was funded with federal funds from the National Cancer Institute, National Institutes of Health, R01 (CA127119 to Keqiang YE). We thank Obiamaka OBIANYO for proofreading the manuscript. + Acknowledgments The authors thank Gabriele Fangi of the Università Politecnica delle Marche for his collaboration during the orientation phase. All images and photographs in this paper are by the authors. + Acknowledgments-We are grateful to Dr. M. Tatematsu for generously providing total RNAs of several rat organs, C. Yamada for expert technical assistance, and Dr. K. Koike for helpful comments in the preparation of this manuscript. + The authors acknowledge A. Itoh's EPMA analysis and H. Takeishi's spectrophotometric analysis. The authors thank M. Akabori for his helpful discussion on the X-ray diffraction work and also for his supply of the coatedparticles heated at 1,600"C for long time. They are also indebted to Drs. T. Kondo and K. Shiba for their encouragement in the work. + Financial support has been granted by MIUR-Italy and the University of Camerino. + The authors thank the officers and crew of USCGC Healy, R/V Knorr, and NOAA ships Miller Freeman and Oscar Dyson for their work in supporting our + Thanks to Deborah R. Gordon for her comments to the text, and to Eugenio Racalbuto for transcribing the interventions material. + We thank Jérôme Lecardonnel and Emmanuelle Rebours for technical assistance in microarrays hybridization. We also thank all the rodent facility staff for technical assistance in animal experiments (Unité Expérimentale 0907 IERP, Jouy-en-Josas, Paris, France). This work was partially funded by the Conseil regional d'Île-de-France through DIM Malinf ("Domaine d'Intérêt Majeur Maladies Infectieuses, parasitaires et nosocomiales émergentes", Grant#: dim100157). O.L. was supported by "DIM Malinf" doctoral fellowships awarded by the "Conseil regional d'Île-de-France"; L.M. was supported by a grant of the Animal Health Division of INRA. + We thank John Hutchinson for discussions, and our previous co-authors (Viv Allen, Peter Falkingham, Collin VanBuren and Victoria Arbour) for their contributions to earlier studies. This manuscript was greatly improved by reviews from Stephen Gatesy, Robert Kambic and Richard Farina. + Thanks are due to three anonymous reviewers for suggesting improvements in this paper. + We thank Dr. Brian Halligan for the Visualize software, and the Biotechnology and Bioengineering Center at the Medical College of Wisconsin for access to their computer cluster. + Funding for this research was provided by the Howard Hughes Medical Institute, a National Science Foundation Waterman Award to KSA, and a National Science Foundation Graduate Research Fellowship to DNS. + We thank Stefan Steinbacher from Proteros biostructures GmbH; Thomas Steinbrecher from Schrödinger Inc. for useful comments and advice throughout. Ineke Fonteyn and Greet Vanhoof for PDE2 inhibition screening and assay related discussions; Peter Buijnsters and the PDE2 medicinal chemistry team. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 675451 (CompBioMed project). + We would like to thank Prof. Tanju Karanfil and Mahmut Ersan, Department of Environmental Engineering and Earth Science, Clemson University for providing BET results and analysis. We also acknowledge Prof. L. T. Kuhn and Dr. S. B. Simonsen, DTU-Energy Conversion for the access to TEM facilities. + We thank the Napa Valley grape growers that allowed us collected samples in their vineyards. We thank Dr. James Wolpert, UC Davis, for his assistance identifying sampling blocks with evidence of disease spread. We also thank Adib Rowhani (FPS, UC Davis) for providing infected plant material controls and for helpful discussions. We acknowledge assistance from Kevin Koy and the Geospatial Imaging Facility at UC Berkeley. + The author wishes to acknowledge R.B. Cathcart for correcting the author's English and useful advice. + We thank E Hentsch, RJ Kilgour, RS Cruz and AN Pessoa for assistance in the lab and three anonymous reviewers for helpful suggestions. The research was supported by NSERC Discovery grants to DRN, CKG, AGM, a University Research Chair from the University of Guelph and an Early Researcher Award to DRN and an Ontario Graduate Scholarship to GSB. + Authors thank the Science and Engineering Research Board, Department of Science and Technology, Government of India, for financial assistance (EMR/2016/006296). + The authors thank the staff of the Cerro Tololo InterAmerican Observatory for their expert and continuous support of the DES observing campaign. This work is supported in part by the U.S. Department of Energy contract to SLAC No. DE-AC02-76SF00515. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l'Espai (IEEC/CSIC), the Institut de Física d'Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A & M University, and the OzDES Membership Consortium. The DES data management system is supported by the National Science Foundation under grant number AST-1138766 + This project was supported by Grant P42ES013660 from the National Institute of Environmental Health Sciences. + We wish to thank all the coworkers that, over the years, participated in the work on cancer immunoprevention. Our research is supported by the Italian Association for Cancer Research (AIRC), Milan, Italy (project no 10353); the Department of Experimental Pathology, University of Bologna (Pallotti funds) and the Italian Ministry for University and Research (PRIN grants). + Thanks to the guidance by academician Dai Jinxing and the financial support from the Chinese National Natural Science Foundation (No. 41303037). + Funding for this study came from NIH-NICHD Grant R01 HD046807 awarded to Margolin, Gordis, and Oliver, and from the David & Lucile Packard Foundation Grant 00-12802 awarded to Margolin. Work also was supported by NIMH NRSA F31 MH074201 awarded to Vickerman, and K23 HD041428 awarded to Gordis. We are grateful to the families who generously participated in the study. We also appreciate the efforts of other members of the USC Family Studies Project, including Mona Elyousef, Angèle Fauchier, Monica Ghalian, Catherine Delsol Haudek, Esti Iturralde, Adabel Lee, Deborah Chien Liu, Anna Marie Medina, Laura Proctor, Michelle Ramos, Martha Rios, Sarah Duman Serrano, Lauren Spies, Molly Swanston, and Jennifer Wall. + Thanks to T. Häme (VTT) + Acknowledgments: Scientific inputs of Pranoy Pal are greatly appreciated. + In addition to the authors, the expanded access programme study investigators were Dr Brian Abbott. + We gratefully acknowledge the effort of the CESR staff in providing us with excellent luminosity and running conditions. We thank A. Kronfeld + The authors would like to thank Tim Graham and Melanie Moody for technical assistance. The work performed in the authors' laboratories was made possible by grants from NIH. + The support of NSF-MRI Grant No. 1228232 for the purchase of the diffractometer and Tulane University for support of the Tulane Crystallography Laboratory are gratefully acknowledged. + Funded by a Sir Henry Wellcome Postdoctoral Fellowship (101521/Z/12/Z) awarded to CM Gillan. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. + The work of the author was suppoted by Grant-in-aid for Scientific Research of JSPS Fellows No. 23-4365 and No. 26-30001. + This work was completed on behalf of the EuroFIR Consortium and funded under the EU 6 + The research work in Wen-Xing Ding's lab was supported in part by the NIAAA funds R01 AA020518, National Center for Research Resources (5P20RR021940), the National Institute of General Medical Sciences (8P20 GM103549), T32 ES007079, and an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health (P20 GM103418). The authors would also like to thank Jessica Williams for critical reading of this paper. + The Australian Federal Government Department of Health and Ageing Chlamydia Pilot Program of Targeted Grants funded the study. Thanks to all the individuals who agreed to be interviewed and particular thanks to Ms Kitty Novy for her assistance with recruitment. + This work was partially supported by the DFG. + This work was made possible thanks to the financial and in-kind support provided by the Canadian Forest Service and the Canadian Wood Fibre Centre of Natural Resources Canada, and funding from the Natural Sciences and Engineering Research Council of Canada (NSERC; Discovery Grant to M.P.G.). We thank Christine Simard, Philippe Labrie, David Gervais, Daniel Plourde, Eric Dussault, Jean-Franc ßois Legare, and Marie-Claude GrosLouis for their valuable contributions to field and laboratory work, and Manuel Lamothe, Claude Bomal and Julie Godbout for methodological discussions. We are grateful to S ebastien Cl ement and Ilga Porth for useful comments on a previous version of the manuscript and to Isabelle Lamarre for technical English editing. Finally, we would like to thank Dr Andrew Eckert and two anonymous reviewers for their insights and constructive comments. + This work was supported by NIH grant DK35108 and a Research Grant from the Crohn's and Colitis Foundation of America. We are grateful to Tom Blaze for invaluable help with the animal experiments and Jennifer Smith for excellent technical support. + The authors thank the Pietà Study Group and the D'Or Institute for Research and Education for data collection and analyses. We are also very grateful for the elderly participants of the Pietà study who dedicated their time and energy to our research. We specially thank Luciana Costa Silva for the analysis of the Fazekas score in all images. + Acknowledgements. The authors thank the referee, Anvar Shukurov, for making a number of comments that led to substantial improvements to the paper. D.M., D.S. and R.S. are grateful to MPIfR for hospitality. The paper was partially supported by RFBR under grant 12-02-00170. R.B. acknowledges support by DFG grant FOR1254. The work was also partially supported by DFG project number Os 177/2-1 . R.S. acknowledges grant YD-520.20132 from the Council of the President of the Russian Federation and RFBR grant 11-01-96031-ural. + This work was funded by the OT/01/34 project of the Katholieke Universiteit Leuven. We also acknowledge the help of Jan Stuckens, from the Department of Biosystems, M3-BIORES of the Katholieke Universiteit Leuven, who assisted in the use of the PBRT ray tracing software. + This work was supported by the National Heart Lung and Blood Institute of the NIH as a Program of Excellence in Nanotechnology Award (HHSN268201000043C to GB), and by an NIH Nanomedicine Development Center Award (PN2 EY018244 to GB). + Part of the work described in this paper was carried out during a guest stay by the first author in the Institute of Transport and Logistics Studies at the University of Sydney. The authors would like to thank Frank Hofman for making the Dutch National model data available for the present research. The authors would also like to thank John Rose for extensive feedback and discussions on an earlier version of this paper. + We thank Professor Pieter C. Dorrestein, University of California at San Diego, USA, for technical advice during nonribosomal peptide extraction. In addition, we thank Stefan Olsson, The Department of Plant and Environmental Sciences, University of Copenhagen, Denmark, for his guidance in sample preparation and microscopy of fungal hyphae. + This research was funded (in part) by the US government VACE program. + The authors would like to thank Professor Li Zeng Peng and his staff from the Department of Pathology at Daping Hospital (Chongqing, China) for conducting immunohistochemistry tests and reviewing slides. In addition, the authors would like to thank the academic editor and anonymous reviewers for their comments on the manuscript. The present study was supported by grants from the National Natural Science Foundation of China (NSFC; no. 81101782), the NSF project CQ CSTC (no. CSTC2011BB5020) and the NSF Third Military Medical University (no. 2010XQN36 and MiaoPu project). + Acknowledgments -We thank Matthias Fuchs for interesting comments on the manuscript. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 723955 -GlassUniversality). This work is supported by "Investissements d'Avenir" LabEx PALM (ANR-10-LABX-0039-PALM). + We are indebted to Scott Whittaker of the Imaging Laboratory of the Museum of Natural History, Smithsonian Institution for assistance with all aspects of SEM. + Acknowledgements. We thank Dr. Tony Tucker, Dr. Nancy FitzSimmons and Ms. Maggie Snyder for collection assistance and Mr. Gordon Graham of CALM Kununurra and Dr. David Blair of James Cook University for making available laboratory space. This material is based upon work supported by the National Science Foundation under Grant Nos. NSF 0515492, 0515460 and 0132289. + I thank Carla Meister for expert preparation of the manuscript. Partial funding support was provided from the NIH rare disease grant (1U54RR019478) and a grant from PWSA (USA). + We would like to thank Francesca Truzzi, Roberta Lotti, Katiuscia Dallaglio and Elisabetta Palazzo for critical reading of the manuscript. We are also grateful to Massimiliano Truzzi for technical assistance with the preparation of the figure. + The authors would like to thank Enago for the English language review. + We would like to thank the anonymous reviewers for their comments and suggestions on the past submissions related to this article. In particular, the idea about the greedy approach to improve the actual packing (described in the beginning of Section 5), and the basic intuition behind the Eliminate-useless-vars were provided by the reviewers of ACM TACO. + The work is performed according to the Russian Government Program of Competitive Growth of Kazan Federal University. + Acknowledgement Dylan Hutchison commented on a draft. We thank Natalia Larios Delgado and Matthew Smith for their feedback on our Excel addin. + This work was partially funded by the Swiss National Science Foundation program ''Sinergia'' (SNF grant no. CRSII3_136179/1). + This study was supported by the Open Translational Research Centre, Advanced Medical Science Centre, Iwate Medical University. + This work was supported in part by the U.S. National Institutes of Health, the National Center for Research Resources through grant UL1TR000371 (X.S.), and the National Cancer Institute through the CCSG P30 CA016672, and the Leukemia SPORE P50 CA100632 (X.S.). + Acknowledgements.-This paper would not have been possible without the assistance of and/or discussions with H. Deliever, R. Huygcns, F. Dclvaux. J. P. Verdcycn. and E. Robbcrechts. + We thank the University of Liverpool and Wellbeing/RCOG for funding. + This work was supported by grant GR/L95496 from the UK Engineering and Physical Sciences Research Council. The work was carried out while R. A. Ruddle was employed in the School of Psychology at Cardiff University. + The authors thank Nassim Khatibi, Somayeh Heydarzade, and Sepideh Heydarzadeh for gathering the data, and Rebecca Chen for professional editing of the manuscript. + We are specially grateful to F. Baudin, B. Ehresmann and C. Ehresmann for the RNAFOLD analysis of HDV sequences. This work was supported in part by grants from ARC, LNCC, ANRS and MEN (Virologie Fondamentale). G.T. is recipient of a CIFFRE fellowship from MRT. + The authors thank all their coworkers in this study (especially Youhei Sekine, Daisuke Chiba, Satou Satoshi, Rina Tanaka, Hiroshi Ishizaki, Takao Noguchi) for skillful contributions to the collection and management of the data. This study was supported by grants-in-aid for Scientific Research (15K20847) from the Japanese Ministry of Education, Culture, Sports, Science, and Technology and research aid from the Foundation Institute of Geriatric Medicine and Dentistry in Tokyo. + Acknowledgments. This research is supported by NSF Grants DUE-0840713, 0840715, 0840719, 0840721, 0840668, 0840597, 0836940, and 0937863. + This work was partly supported by Pirelli Cavi SpA. + The authors would like to thank the MSF field staff in Burkina Faso, for their dedication and hard work. We thank Dr Sylvestre Tapsoba, national nutrition director from the Ministry of Health in Burkina Faso. We are particularly grateful to Rebecca Grais, PhD and Sandra Cohuet, MD (Epicentre) for their critical review of the manuscript and verification of the data set. Andrea Minetti, MD (Epicentre) played an important role in the initial programme set up. We thank Manal Shams Eldin, MD (MSF) for her critical review. Finally, we wish to acknowledge the essential role of the thousands of mothers and caregivers in Yako and Titao, Burkina Faso who nurtured their children back to health. + We would like to thank J. Devreese, J. Hirsch, A. Lanzara, J. Samson, and S. Trugman for illuminating discussions. ASA acknowledges support of this work by the Leverhulme Trust (London). + The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region (Project number: CUHK4092/01M) and also supported by equipment/ resources donated by the Hong Kong Jockey Club Charities Trust. + We are grateful to Susanne Mandrup for her suggestion about our study. We thank Kaori Shiina and Kenji Tatsuno for their help in library preparation for high-throughput sequencing. Shiro Fukuda and Toshihiro Umehara for their help in computational analysis. Kohjiro Ueki, Shingo Kajimura and Claudio Villanueva for providing cells and plasmids. Kinichi Nakashima for his suggestion regarding NFIA-KO mice. Takuya Sugiyama, Tetsuya Kubota and Naoto Kubota for their help in animal experiments. We also thank Takahito Wada for his technical assistance. + This research was supported by the Top-class foundation of Pingdingshan University (no. PXY-BSQD-2018006 and PXY-PYJJ-2018002). + The authors acknowledge all of their colleagues and nurses who took care of the patients. There was no funding source. + Project administration: Ikuo Kimura. + We thank D Low and C Hayes for E. cloacae strains, J Harrison for the gacS deletion construct, S Lory for β-galactosidase reporters, A Rietsch and P de Boer for codon-optimized superfolder gfp, H Schweizer for Tn7 constructs, and N Kuwada and H Kulasekara for helpful discussions. ML was supported by the Molecular and Cellular Biology Training Grant (T32GM007270) and EIM was a University of Washington Mary Gates Scholar. JDM holds an Investigator in the Pathogenesis of Infectious Disease Award from the Burroughs Wellcome Fund. + I am extremely indebted to Mrs. Bella Shirman, a senior librarian of the University of California at Berkeley, for her kind assistance in tracing and making for me a copy of Ref. 15 . This work was supported in part by the NATO Collaborative Linkage Grant PST.CLG.976850. + We would like to thank Vladimir Shikhman and Oliver Stein for a helpful discussion that prompted us to rethink and refine our assumptions. We would also like to acknowledge an anonymous reviewer for constructive comments. + This research was supported by a grant from the United States/Israel Binational Science Foundation (BSF), Jerusalem. Professor A. W. Castleman, Jr. serves as the American Cooperative Investigator of this grant. We thank Dr. M. Mautner for very helpful comments and for providing us with unpublished results, and Professor A. Mandelbaum for suggesting the experiment with the proton-bound tetrahydrofuran dimer. + We thank Lifei Zheng (Radboud University,R U) for preparing labelled DNA, Albert Wong (RU) for providing labelled oligolysine,Mahesh Vibhute (RU) for the help with the IVTx mix preparation. + This research was supported by the École Doctorale Frontières du Vivant (FdV) - Programme Bettencourt, and by grants ANR-17-CE28-0009 (GEOMPHON), ANR-11-IDFI-023 (IIFR), ANR-11-IDEX-0005 (USPC), ANR-10-LABX-0083 (EFL), ANR-17-EURE-0017 Frontcog, ANR-10-IDEX-0001-02 PSL*, ANR-19-P3IA-0001 PRAIRIE 3IA Institute. This work was performed using HPC resources from GENCI-IDRIS (Grant 20XX-AD011012415). + The authors wish to acknowledge the support of the funding programs "Investissements d’avenir" ANR-10-IAIHU-06 and "Investissements d’avenir" ANR-11-INBS-0011-NeurATRIS: Translational Research Infrastructure for Biotherapies in Neurosciences. S.H. is funded by ANR-2010-BLAN-1418-01 (ParKemoS), ANR-12-EMMA-0016-01 (X-Protect), ANR-13-ISV4-0003-03 (Ire1-PD), ANR-13-BSV1-0013-01 (ParkSTRIM), ANR-14-JPCD-0005-02 (JPND CrossSeeds) and ANR-15-JPWG-0012-04 (JPND SYNaction). P.P.M. was supported by association France Parkinson. + This project was supported by the French National Research Agency in the framework of the "Investissements d’avenir" program (ANR-15-IDEX-02) through the project Eco-SESA. This work was also performed within the framework of the Centre of Excellence of Multifunctional Architectured Materials "CEMAM"AN-10-LABX-44-01. This work was funded by the Agence Nationale de Recherche (ANR, France) via the programs ANR-16-CE05-0021 (DESPATCH), ANR-14-ACHN-0012 (MICROSWITCH) and CE05 INDEED, CE09 MEANING, CE09 PANASSE. This work was as well supported by Région Auvergne Rhône-Alpes through the project Pack Ambition Recherche 2018 Eternité. The Carnot Energies du Futur is acknowledged through the project FREE. David Muñoz-Rojas acknowledges funding through the Marie Curie Actions (FP7/2007-2013, Grant 631111). The authors would like to warmly thank to L. Rapenne, K. Maas and R. Rodríguez-Lamas for fruitful discussions. + Research in the Quintana-Murci lab is funded by the Institut Pasteur, the Centre National de la Recherche Scientifique (CNRS), the Agence Nationale de la Recherche (ANR-14-CE14-0008-02, ANR-14-CE14-0007-02, ANR-14-CE02-0003-01), the French Government’s Investissement d’Avenir program, Laboratoires d’Excellence "Integrative Biology of Emerging Infectious Diseases" (ANR-10- LABX-62-IBEID) and “Milieu Intérieur” (ANR-10-LABX-69-01), and the Fondation pour la Recherche Médicale (Equipe FRM DEQ20180339214). I wish to thank Etienne Patin for help in designing figures, and Jean-Laurent Casanova, Guillaume Laval, Mary O’Neill, Etienne Patin and Maxime Rotival for critical reading, comments and discussion. + We acknowledge support by INSERM (D.C. and C.Q.), Nouvelle Aquitaine Region (D.C.) and Agence Nationale de la Recherche for the following grants: neuroIDobese (ANR-20-CE14-0046 to C.Q.), LabEX BRAIN (ANR-10-LABX-43 to D.C.), OPTOPATH (ANR-10-EQX-008-1 to D.C.), BABrain (ANR-17-CE14-0007 to D.C.), MitObesity (ANR-18-CE14-0029 to D.C.) and StriaPOM (ANR-21-CE14-0018 to D.C.). C.Q. is also supported by the Societé Francophone du Diabete, Societé Francaise d’Endocrinologie (Pfizer-SFE Prix de Recherche en Endocrinologie), and Societé Francaise de Nutrition, the Institut Benjamin Delessert, and The Fyssen Foundation. This study received financial support from the French government in the framework of the University of Bordeaux's IdEx "Investments for the Future" program / GPR BRAIN_2030. + This work was supported by the Université de Strasbourg and Centre National de la Recherche Scientifique (CNRS), by the French Agence Nationale de la Recherche (ANR-18-CE12-0021-01 'Polyglot') and by the French National Program 'Investissement d’Avenir' (ANR-11-LABX-0057 'MitoCross' LabEx). MH has a fellowship from MitoCross and JR has a fellowship from Polyglot. This work of the Interdisciplinary Thematic Institute IMCBio>, conducted as part of the ITI 2021–2028 program of the University of Strasbourg, CNRS and Inserm, was supported by IdEx Unistra (ANR-10-IDEX-0002), STRAT’US (ANR 20-SFRI-0012) and EUR IMCBio (ANR-17-EURE-0023) under the framework of the French Investments for the Future Program. + Most of this work took place during the first author master internship at IRIT. His PhD at the University of Genova, is supported by the ITN-ETN project TraDE-OPT funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 861137. The second author would like to acknowledge the support of ANR-3IA Artificial and Natural Intelligence Toulouse Institute, Air Force Office of Scientific Research, Air Force Material Command, USAF, under grant numbers FA9550-19-1-7026, FA9550-18-1-0226, and ANR MaSDOL - 19-CE23-0017-01. We warmly thank the anonymous referee for careful reading and relevant suggestions which improved the quality of the manuscript. + The laboratory of Human Evolutionary Genetics is supported by the Institut Pasteur, the Collège de France, the Centre Nationale de la Recherche Scientifique (CNRS), the Agence Nationale de la Recherche (ANR) grants LIFECHANGE (ANR-17- CE12-0018-02), CNSVIRGEN (ANR-19-CE15-0009-02) and COVID-19-POPCELL (ANR-21-CO14-003-01), the French Government's Investissement d’Avenir program, Laboratoires d’Excellence 'Integrative Biology of Emerging Infectious Diseases' (ANR-10- LABX-62-IBEID) and 'Milieu Intérieur' (ANR-10-LABX-69-01), the Fondation pour la Recherche Médicale (Equipe FRM DEQ20180339214), the Fondation Allianz-Institut de France, and the Fondation de France (n°00106080) + Acknowledgments S.D.M.S. is supported by an MRC career development award. P.B. is supported by the Human Frontier Science Program (CDA00069/2013 C).-A.S. and U.P. are supported by the NIH NIGMS grant U54 GM074945. We thank the Xenopus laevis genome project consortium to provide gene annotation information from unpublished RNA-seq data. Especially, for the RNA-seq based gene model we used in this project, we thank Shuji Takahashi, Atsushi Toyoda, Yutaka Suzuki, Sumio Sugano, Asao Fujiyama, and Masanori Taira for sharing their unpublished RNA-seq data (the construction of RNAseq data sets was supported in part by KAKENHI (Grant-in-Aid for Scientific Research) on Innovative Areas "Genome Science" from the Ministry of Education, Culture, Sports, Science and Technology of Japan), and Taejoon Kwon, Shuji Takahashi, Toshiaki Tanaka, Edward Marcotte for gene model construction and validation. + Acknowledgements This work was partially funded by the National Institutes of Health (NIH), R01MH096906 [TY], NSF OCI1131441 [RP], International Neuroinformatics Coordinating Facility (INCF) and the Max Planck Society [KJG, DSM]. We thank the INCF Neuroimaging Data Sharing task force members for their input during several discussions. + We thank Dr. Petter Holme for sharing the internet dating community dataset, and Dr. Gerald F. Davis for the American company director network dataset. This work was supported by grants from the National Research Foundation of Korea (2010-0017649, 2012M3A9B4028641, 2012M3A9C7050151) to I.L, and from the N.S.F., N.I.H., U. S. Army (58343-MA) and Welch Foundation (F-1515) to E.M.M. + We thank the Norwich Rust Group for discussions, Dr. Vanessa Segovia (Norwich, UK) for providing material, and support teams at The Sainsbury Laboratory and The John Innes Centre. BP was supported by an INRA Contrat Jeune Scientifique (CJS), by the European Union, in the framework of the Marie-Curie FP7 COFUND People Programme, through the award of an AgreenSkills' fellowship (under grant agreement n° 267196). DGOS was supported by a Leverhulme early career fellowship and a fellowship in computational biology at TGAC, in partnership with the John Innes Centre, and strategically supported by BBSRC. CL is supported by an INRA CJS. BP, CL, and SD are supported by the French National Research Agency through the Labex ARBRE (ANR-12-LABXARBRE-01) and the Young Scientist Grant POPRUST (ANR-2010-JCJC-1709-01). KVK is strategically supported by the BBSRC and the Gatsby Charitable Foundation. Research at The Sainsbury Laboratory is supported by the Gatsby Charitable Foundation and the BBSRC. + This work was funded under the ERC Adv Grant MAG-ICAL No. 669204 and J.C. acknowledges support from the LabEx Minos ANR-10-LABX-55-01 program. + diff --git a/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-fundings.tei.xml b/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-fundings.tei.xml index 504cc9162f..317f594c0a 100644 --- a/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-fundings.tei.xml +++ b/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-fundings.tei.xml @@ -160,5 +160,6 @@ FINANCIAL DISCLOSURE This research was partially supported by a Royal Society Research Grant awarded to JFM and Wellcome Trust funding to DWL (grant number 098051). JFM, MJH and MTS are supported by the Biosciences, Environment and Agriculture Alliance (BEAA) between Bangor University and Aberystwyth University and ADH is funded by a Bangor University 125th Anniversary Studentship. Funding Mesut Erzurumluoglu is a PhD student funded by the Medical Research Council (MRC UK). Funding Information. A.R.W. and T.M.F. are supported by the European Research Council grant: 323195: SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC. R.M.F. is a Sir Henry Dale Fellow (Wellcome Trust and Royal Society grant: 104150/Z/14/Z). R.B. is funded by the Wellcome Trust and Royal Society grant: 104150/Z/14/Z. J.T. is funded by the ERDF and a Diabetes Research and Wellness Foundation Fellowship. S.E.J. is funded by the Medical Research Council (grant: MR/M005070/1) M.A.T., M.N.W. and A.M. are supported by the Wellcome Trust Institutional Strategic Support Award (WT097835MF). H.Y. is funded by the European Research Council award (323195). The funders had no influence on study design, data collection and analysis, decision to publish, or preparation of the manuscript. + Funding from the National Institutes of Health (NIH; grants AI129940 and AI38576; https:// www.nih.gov/) to M. Stephen Trent is gratefully acknowledged. This study has received funding from the French Government's Investissement d'Avenir program, Laboratoire d'Excellence "Integrative Biology of Emerging Infectious Diseases" (grant n˚ANR-10-LABX-62-IBEID; http:// www.agence-nationale-recherche.fr/ investissements-d-avenir/). This work was supported by the Agence National de la Recherche (ANR; grant n˚ANR-11-BSV3-0002; http://www. agence-nationale-recherche.fr/) and DIM Malinf (grant n˚dim140053; http://www.dim-malinf.org/) to Dominique Mengin-Lecreulx and Ivo G. Boneca. Elise Gasiorowski was supported by a fellowship from the Fondation pour la Recherche Me ´dicale (FRM; fellowship FDT20170436808; https://www. frm.org/en). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. \ No newline at end of file diff --git a/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-infrastructures.tei.xml b/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-infrastructures.tei.xml new file mode 100644 index 0000000000..79600ebf15 --- /dev/null +++ b/grobid-trainer/resources/dataset/funding-acknowledgement/corpus/all-infrastructures.tei.xml @@ -0,0 +1,20 @@ + + + This work was partially supported by the EIPHI Graduate School (contract "ANR-17-EURE-0002"). This work was granted access to the AI resources of CINES under the allocation AD010613582 made by GENCI and also from the Mesocentre of Franche-Comté. + The authors thankfully acknowledge funding from the French RENATECH network, the PEPR project OFCOC (ANR-22-PEPL-005), and the EUROPEAN Union (ERC-2022-COG, PANDORA, 101088331) + The authors would like to thank Stephan Reitzenstein for his contribution through fabricating the semi-conductor laser sample used for producing the circuit shown in Fig. 10 (b) and Erik Jung for the valuable help on the design of 3D waveguides. This work was partly supported by the french RENATECH network and its FEMTO-ST technological facility. The authors acknowledge the support of the Region Bourgogne Franche-Comté. This work was supported by the EUR EIPHI program (Contract No. ANR-17-EURE- 0002), by the Volkswagen Foundation (NeuroQNet II), by the French Investissements d’Avenir program, project ISITE-BFC (contract ANR-15-IDEX-03), by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreements No. 713694 (MULTIPLY). + This work was supported by Hauts de France Regional Council (CPER "Wavetech", Start-AIRR ASPIR), RENATECH (French Network of Major Technology Centres), and French National Research Agency (Project BIRD, TIGER, PEPR Electronics) + We would like to thanks the SIRIUS beamline teams for their support and beam-time necessary for the characterization of the very thin PSD XBPM. + We thank the vector core of the Atlantic Gene Therapies Institute (AGT) in Nantes for the preparation of the rAAV vectors, Véronique Blouin and Philippe Moullier (INSERM UMR1089) for vector production and the technical staff of Oniris rodent facility for animal care. We acknowledge assistance from SOLEIL SMIS beamline staff for his help. This work was supported by - NeurATRIS: A Translational Research Infrastructure for Biotherapies in Neurosciences. Thank to Sfμ for its financial support to participate at this congress. + Experiments were performed on the "PSICHE" beamline at SOLEIL Synchrotron, France (proposal number 20180030). We are very grateful to the SOLEIL staff for smoothly running the facility. We also thank Samy Laabidi, Denis Grosjean, Rudy Albert and Chakib Ouali for the design of the rotating cell. The participants on the shifts were L. Barré, T. Chevalier, N. Gland, F. Lutz, R. Poryles and E. Rosenberg (alphabetical order). + We would like to acknowledge SOLEIL synchrotron for beam time allocation 20170058 and 20180689 and Arkema for providing the samples material. Yann Auriac (Centre des Matériaux) is acknowledged for helping to design the machine. + Pierre Gressens is supported by grants from INSERM, Université Paris Cité, ANR, ERANET-NEURON (VasOX), Fondation pour la Recherche sur le Cerveau, Fondation Princesse Grace de Monaco, Fondation des Gueules Cassées, and "Investissement d'Avenir ANR-11-INBS-0011" NeurATRIS. Veronique E. Miron is supported by the John David Eaton Chair in Multiple Sclerosis Research from St. Michael's Hospital Foundation, and a Medical Research Council Senior Non-Clinical Fellowship. Bobbi Fleiss and Isabelle K. Shearer are supported by the Cerebral Palsy Alliance and the Kinghorn Foundation. Pierre Gressens, Juliette Van Steenwinckel, Cindy Bokobza, Mireille Laforge, and Bobbi Fleiss are supported by Horizon 2020 Framework Program of the European Union (grant agreement no. 874721/PREMSTEM). Elisa L. Hill-Yardin, Samantha M. Matta, Isabelle K. Shearer, and Bobbi Fleiss are supported by the National Health and Medical Research Foundation of Australia. Elisa L. Hill-Yardin is also supported by Axial Therapeutics and Fondation Jérôme Lejeune. Rejane Rua is supported by the European Research Council, as well as by institutional funding from the Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique and Aix-Marseille-Université. + We thank the France-Alzheimer Association, Plan Alzheimer Foundation and the French Public Investment Bank’s "ROMANE" program for funding this study. The 11.7T MRI scanner was funded by a grant from NEURATRIS: A Translational Research Infrastructure for Biotherapies in Neurosciences ("Investissements d’Avenir", ANR-11-INBS-0011). C.G. was financed by the French Ministère de l’Enseignement Supérieur, de la Recherche et de l’Innovation. + This work was supported by public funds received through GEOSUD, a project (ANR-10-EQPX-20) of the Investissements d’Avenir program managed by the French National Research Agency. The authors would like to thank the reviewers for their valuable comments and suggestions which have greatly contributed in improving the manuscript. The authors would also like to thank Maxime Lenormand, Raffaele Gaetano and Julien Michel for their great help, and the OTB community for the precious support. They also thank the CINES supercomputing center and the HPC@LR competence center for providing the HPC support. + We gratefully acknowledge financial support from the agencies and organizations listed here: www.cta-observatory.org/consortium acknowledgment. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 653477, and from the Fondation Université Savoie Mont Blanc. This work has been done thanks to the facilities offered by the Univ. Savoie Mont Blanc - CNRS/IN2P3 MUST computing center and HPC resources from GENCI-IDRIS (Grant 2020-AD011011577) and computing and data processing ressources from the CNRS/IN2P3 Computing Center (Lyon - France). We gratefully acknowledge the support of the NVIDIA Corporation with the donation of one NVIDIA P6000 GPU for this research. + EM and DFT acknowledge the support of the grants AYA2017-92402-EXP, PGC2018-095512-B-I00, iLink 2017-1238 (Ministerio de Economía y Competitividad) and SGR2017-1383 (Generalitat de Catalunya). We acknowledge the support of the PHAROS European Cooperation in Science and Technology (COST) Action (CA16214). EdeOW ackowledges the Alexander von Humboldt Foundation for financial support. DK is supported by Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Numbers JP18H03722, JP24105007, and JP16H02170. We made use of the Cherenkov Telescope Array instrument response functions provided by the Cherenkov Telescope Array Consortium and Observatory, see http://www.cta-observatory.org/science/cta-performance/ (version prod3b-v1) for more details. This paper has gone through an internal review by the CTA Consortium. This work was conducted in the context of the CTA Analysis and Simulation Working Group (ASWG). We made use R Project for Statistical Computing (R Core Team 2013). Also, this research made use of ASTROPY, a community-developed core PYTHON package for Astronomy (ASTROPY Collaboration, 2018). + We thank the association "Vaincre le cancer NRB" (https://www.vaincrelecancer-nrb.org/) which made it possible to finance the computer equipment used to carry out these analyses.This work was performed with grants from the ANR "Programme d’Investissements d’Avenir" of the INGESTEM National Infrastructure (ANR-11-INBS-0009-INGESTEM) and INSERM, University Paris Sud. + The Montpellier public hospital Ingestem SAFE-iPS® and the ChromoStem® platforms are thanked for their support during this work. This work has been partially funded by the Montpellier public hospital center through the "AOI Jeunes Chercheurs 2013" program and by the ANR funding INGESTEM National Infrastructure in Biology and Health. + I-Stem and Genethon are part of the Biotherapies Institute for Rare Diseases (BIRD). Both institutes are funded with the continuous support of Association Française contre les Myopathies (AFM-Telethon), INSERM and Genopole. This work was supported by grants from the National Infrastructure Engineering for Pluripotent and differentiated Stem cells INGESTEM (Investissement d’Avenir - ANR-11- INBS-0009), the Strategic Research Initiatives (IRS) of Université Paris-Saclay BioTherAlliance, the laboratoire d’Excellence Revive (Investissement d’Avenir; ANR-10-LABX-73), the domaine d’intéret majeur (DIM) Biothérapies and the Translational Research Infrastructure for Biotherapies in Neurosciences NeurATRIS (Investissement d’Avenir - ANR-11-INBS-0011). SH was supported by a PhD fellowship from the University of Paris-Saclay. The authors thank Cécile Martinat, Christian Pinset and Marc Peschanski for helpful discussions, the "Imaging and Cytometry Core Facility" of Genethon for technical support and Genopole for the purchase of the equipment. Finally, we thank the Platform for Immortalization of Human Cells from the Centre of Research in Myology, Institute of Myology, Paris, for providing immortalized MyoD-inducible human fibroblasts. + This work has benefited from facilities and expertise of the Molecular Biology platform of TEFOR and I2BC. The research was funded by a grant from Direction Générale de l'Armement (DGA) and Agence Nationale de la Recherche (ANR, France) "Resisphage" ANR-13-ASTRID-0011-01. The funders had no role in the study design, data collection and interpretation, or the decision to submit the work for publication. + diff --git a/grobid-trainer/resources/dataset/funding-acknowledgement/crfpp-templates/funding-acknowledgement.template b/grobid-trainer/resources/dataset/funding-acknowledgement/crfpp-templates/funding-acknowledgement.template index 4dcabb4bf5..03b7f37b39 100644 --- a/grobid-trainer/resources/dataset/funding-acknowledgement/crfpp-templates/funding-acknowledgement.template +++ b/grobid-trainer/resources/dataset/funding-acknowledgement/crfpp-templates/funding-acknowledgement.template @@ -54,19 +54,24 @@ U70:%x[0,13] U71:%x[-1,13] U72:%x[1,13] -# Dict info +# Dict info funder name U80:%x[0,14] U82:%x[-1,14] U84:%x[1,14] +# Dict info research infrastructure name +U80:%x[0,15] +U82:%x[-1,15] +U84:%x[1,15] + # Punctuation -U90:%x[0,15] -U91:%x[-1,15] -U92:%x[-2,15] -U93:%x[1,15] -U94:%x[2,15] -#U95:%x[-1,15]/%x[0,15] -#U96:%x[0,15]/%x[1,15] +U90:%x[0,16] +U91:%x[-1,16] +U92:%x[-2,16] +U93:%x[1,16] +U94:%x[2,16] +#U95:%x[-1,16]/%x[0,16] +#U96:%x[0,16]/%x[1,16] # Output B diff --git a/grobid-trainer/resources/dataset/header/corpus/raw/afp1085-lopezA-CC-BY.training.header b/grobid-trainer/resources/dataset/header/corpus/raw/afp1085-lopezA-CC-BY.training.header new file mode 100644 index 0000000000..b69153843f --- /dev/null +++ b/grobid-trainer/resources/dataset/header/corpus/raw/afp1085-lopezA-CC-BY.training.header @@ -0,0 +1,721 @@ +Mining mining M Mi Min Mini g ng ing ning BLOCKSTART LINESTART ALIGNEDLEFT NEWFONT HIGHERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 NOPUNCT 1 0 1 0 +Software software S So Sof Soft e re are ware BLOCKIN LINEIN ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 NOPUNCT 1 0 1 0 +Entities entities E En Ent Enti s es ies ties BLOCKIN LINEIN ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 NOPUNCT 1 0 1 0 +in in i in in in n in in in BLOCKIN LINEIN ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 1 0 0 NOPUNCT 1 0 1 0 +Scientific scientific S Sc Sci Scie c ic fic ific BLOCKIN LINEIN ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 NOPUNCT 1 0 1 0 +Literature literature L Li Lit Lite e re ure ture BLOCKIN LINEIN ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 NOPUNCT 1 0 1 0 +: : : : : : : : : : BLOCKIN LINEEND ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 PUNCT 1 0 1 0 +Document document D Do Doc Docu t nt ent ment BLOCKIN LINESTART ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 NOPUNCT 1 0 1 0 +- - 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BLOCKIN LINEIN ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 1 DOT 0 0 1 0 +3481936 3481936 3 34 348 3481 6 36 936 1936 BLOCKEND LINEEND ALIGNEDLEFT SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 1 0 0 0 1 NOPUNCT 0 0 1 0 + diff --git a/grobid-trainer/resources/dataset/header/corpus/tei/afp1085-lopezA-CC-BY.training.header.tei.xml b/grobid-trainer/resources/dataset/header/corpus/tei/afp1085-lopezA-CC-BY.training.header.tei.xml new file mode 100644 index 0000000000..26276014a3 --- /dev/null +++ b/grobid-trainer/resources/dataset/header/corpus/tei/afp1085-lopezA-CC-BY.training.header.tei.xml @@ -0,0 +1,82 @@ + + + + + + + + + + Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task + + + + Patrice Lopez + + + + science-miner France + + + patrice.lopez@science-miner.com + + + Caifan Du Johanna Cohoon + + + + University of Texas at Austin USA + + + + Karthik Ram + + + + Berkeley Institute for Data Science USA + + + + James Howison + + + + University of Texas at Austin USA + + + ABSTRACT +
We present a comprehensive information extraction system dedi-cated to software entities in scientific literature. This task combines the complexity of automatic reading of scientific documents (PDF processing, document structuring, styled/rich text, scaling) with challenges specific to mining software entities: high heterogeneity and extreme sparsity of mentions, document-level cross-references, disambiguation of noisy software mentions and poor portability of Machine Learning approaches between highly specialized do-mains. While NER is a key component to recognize new and unseen software, considering this task as a simple NER application fails to address most of these issues. In this paper, we propose a multi-model Machine Learning ap-proach where raw documents are ingested by a cascade of docu-ment structuring processes applied not to text, but to layout token elements. The cascading process further enriches the relevant struc-tures of the document with a Deep Learning software mention recognizer adapted to the high sparsity of mentions. The Machine Learning cascade culminates with entity disambiguation to alleviate false positives and to provide software entity linking. A bibliograph-ical reference resolution is integrated to the process for attaching references cited alongside the software mentions. Based on the first gold-standard annotated dataset developed for software mentions, this work establishes a new reference end-to-end performance for this task. Experiments with the CORD-19 publications have further demonstrated that our system provides practically usable performance and is scalable to the whole scientific corpus, enabling novel applications for crediting research software and for better understanding the impact of software in science.
+ + CCS CONCEPTS• Computing methodologies → Information extraction; • Ap-plied computing → Document analysis. + + Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). + + CIKM '21, November 1-5, 2021, Virtual Event, QLD, Australia + + © 2021 Copyright held by the owner/author(s). + + ACM ISBN 978-1-4503-8446-9/21/11. + + https://doi.org/10.1145/3459637.3481936 + + KEYWORDS + Software; Scientific Literature; Entity Recognition; Entity Disam-biguation; Document Analysis + + ACM Reference Format: + Patrice Lopez, Caifan Du, Johanna Cohoon, Karthik Ram, and James Howi-son. 2021. Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task. In Proceedings of the 30th ACM International Conference on Information and Knowledge Manage-ment (CIKM '21), November 1-5, 2021, Virtual Event, QLD, Australia. ACM, New York, NY, USA, 10 pages. + + https://doi.org/10.1145/3459637.3481936 + + This work is licensed under a Creative Commons Attribution International 4.0 License. + + CIKM '21, November 1-5, 2021, Virtual Event, Australia. + + © 2021 Copyright is held by the owner/author(s). + + ACM ISBN 978-1-4503-8446-9/21/11. + + https://doi.org/10.1145/3459637.3481936 + +
+
+
diff --git a/grobid-trainer/resources/dataset/header/evaluation/raw/306._download.training.header b/grobid-trainer/resources/dataset/header/evaluation/raw/header301.training.header similarity index 100% rename from grobid-trainer/resources/dataset/header/evaluation/raw/306._download.training.header rename to grobid-trainer/resources/dataset/header/evaluation/raw/header301.training.header diff --git a/grobid-trainer/resources/dataset/header/evaluation/raw/307._download.training.header b/grobid-trainer/resources/dataset/header/evaluation/raw/header302.training.header similarity index 100% rename from grobid-trainer/resources/dataset/header/evaluation/raw/307._download.training.header rename to grobid-trainer/resources/dataset/header/evaluation/raw/header302.training.header diff --git a/grobid-trainer/resources/dataset/header/evaluation/tei/header301.tei.xml b/grobid-trainer/resources/dataset/header/evaluation/tei/header301.training.header.tei.xml similarity index 97% rename from grobid-trainer/resources/dataset/header/evaluation/tei/header301.tei.xml rename to grobid-trainer/resources/dataset/header/evaluation/tei/header301.training.header.tei.xml index ab6b248afa..5444617646 100755 --- a/grobid-trainer/resources/dataset/header/evaluation/tei/header301.tei.xml +++ b/grobid-trainer/resources/dataset/header/evaluation/tei/header301.training.header.tei.xml @@ -1,6 +1,6 @@ - + diff --git a/grobid-trainer/resources/dataset/header/evaluation/tei/header302.tei.xml b/grobid-trainer/resources/dataset/header/evaluation/tei/header302.training.header.tei.xml similarity index 97% rename from grobid-trainer/resources/dataset/header/evaluation/tei/header302.tei.xml rename to grobid-trainer/resources/dataset/header/evaluation/tei/header302.training.header.tei.xml index 61c2d98ca6..6050ddca4e 100755 --- a/grobid-trainer/resources/dataset/header/evaluation/tei/header302.tei.xml +++ b/grobid-trainer/resources/dataset/header/evaluation/tei/header302.training.header.tei.xml @@ -1,6 +1,6 @@ - + diff --git a/grobid-trainer/resources/dataset/segmentation/corpus/raw/Gasiorowski_PLoS_Pathogens_2019-1_number_prefix.training.segmentation b/grobid-trainer/resources/dataset/segmentation/corpus/raw/Gasiorowski_PLoS_Pathogens_2019-1_number_prefix.training.segmentation new file mode 100644 index 0000000000..a193440881 --- /dev/null +++ b/grobid-trainer/resources/dataset/segmentation/corpus/raw/Gasiorowski_PLoS_Pathogens_2019-1_number_prefix.training.segmentation @@ -0,0 +1,1307 @@ +RESEARCH ARTICLE research R RE RES RESE BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 ALLCAP NODIGIT 0 1 1 0 0 0 0 0 0 0 no 0 10 1 1 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT HIGHERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 0 0 , 1 8 1 0 0 0 1 +and phosphatidylglycerol and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 0 no 0 7 1 0 0 0 1 +phosphatase in phosphatase p ph pho phos BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 0 no 0 10 1 0 0 0 1 +for colonization for f fo for for BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 0 no 0 6 1 0 0 0 1 +Elise Gasiorowski elise E El Eli Elis BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 0 0 ,,,,,,, 7 8 0 0 0 0 1 +Chantal Ecobichon chantal C Ch Cha Chan BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 0 0 ,,,.,,,.,,, 11 10 0 0 0 0 1 +Dominique Mengin-Lecreulx dominique D Do Dom Domi BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 0 0 - 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au aut auth BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 10 . 1 6 0 0 0 0 1 +Data Availability data D Da Dat Data BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 0 10 : 1 10 0 0 0 0 1 +within the within w wi wit with BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 10 no 0 8 0 0 0 0 1 +Information files. information I In Inf Info BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 0 10 . 1 3 0 0 0 0 1 +Funding: Funding funding: F Fu Fun Fund BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 0 11 : 1 9 0 0 0 0 1 +Health (NIH; health H He Hea Heal BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 0 11 (;;:// 6 10 0 0 0 0 1 +www.nih.gov/) to www.nih.gov/) w ww www www. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 11 ../). 5 9 0 0 0 0 1 +acknowledged. This acknowledged. a ac ack ackn BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 11 . 1 9 0 0 0 0 1 +from the from f fr fro from BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 11 ' 1 8 0 0 0 0 1 +d'Avenir program, d'avenir d d' d'A d'Av BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 11 ',' 3 8 0 0 0 0 1 +"Integrative Biology "integrative " "I "In "Int BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 11 " 1 8 0 0 0 0 1 +Author summary author A Au Aut Auth BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 0 0 no 0 10 1 1 0 0 1 +Helicobacter pylori helicobacter H He Hel Heli BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 0 0 ' 1 9 1 0 0 0 1 +world's population. world's w wo wor worl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 0 '., 3 10 1 0 0 0 1 +worst cases worst w wo wor wors BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 0 . 1 9 1 0 0 0 1 +World Health world W Wo Wor Worl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 INITCAP NODIGIT 0 0 1 0 0 0 0 0 0 0 .,,, 4 8 1 0 0 0 1 +major undecaprenyl major m ma maj majo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 0 0 (-)()- 6 8 1 0 0 0 1 +phatidylglycerol phosphate phatidylglycerol p ph pha phat BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 0 ().- 4 9 1 0 0 0 1 +ionic antimicrobial ionic i io ion ioni BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 0 (). 3 9 1 0 0 0 1 +increased sensitivity increased i in inc incr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 0 (). 3 9 1 0 0 0 1 +model of model m mo mod mode BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 0 , 1 9 1 0 0 0 1 +essential in essential e es ess esse BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 0 . 1 10 1 0 0 0 1 +wall polysaccharides wall w wa wal wall BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 0 0 . 1 9 1 0 0 0 1 +Introduction Introduction introduction I In Int Intr BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 0 2 no 0 10 0 0 0 0 1 +The biogenesis the T Th The The BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 0 2 -(..,(), 8 9 0 0 0 0 1 +lipopolysaccharides (LPS), lipopolysaccharides l li lip lipo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 (),,)- 6 9 0 0 0 0 1 +location, across location, l lo loc loca BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 ,,- 3 9 0 0 0 0 1 +plasm [1]. plasm p pl pla plas BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 [].,( 5 9 0 0 0 0 1 +phosphate (C phosphate p ph pho phos BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 (-)), 5 9 0 0 0 0 1 +of the of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 [].,- 5 9 0 0 0 0 1 +transglycosylase and transglycosylase t tr tra tran BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 .- 2 9 0 0 0 0 1 +zation reactions zation z za zat zati BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 "" 2 9 0 0 0 0 1 +(C 55 (c ( (C (C (C BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 0 2 (-)- 4 10 0 0 0 0 1 +biosynthesis. biosynthesis. biosynthesis. b bi bio bios BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 . 1 1 0 0 0 0 1 +C 55 c C C C C BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 0 2 --,()- 6 9 0 0 0 0 1 +plasmic de plasmic p pl pla plas BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 (-)- 4 9 0 0 0 0 1 +cules with cules c cu cul cule BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 (-)- 4 9 0 0 0 0 1 +(UppS) [3] (upps) ( (U (Up (Upp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 ()[]()[]. 9 9 0 0 0 0 1 +Two unrelated two T Tw Two Two BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 0 2 -() 3 9 0 0 0 0 1 +activity were activity a ac act acti BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 :(- 3 9 0 0 0 0 1 +tase) super-family. tase) t ta tas tase BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 )-.: 4 9 0 0 0 0 1 +75% of 75% 7 75 75% 75% BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 0 2 (,) 3 8 0 0 0 0 1 +remaining activity remaining r re rem rema BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 []..[] 6 10 0 0 0 0 1 +seems to seems s se see seem BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 , 1 10 0 0 0 0 1 +question of question q qu que ques BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 ., 2 9 0 0 0 0 1 +pgpB is pgpb p pg pgp pgpB BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 . 1 9 0 0 0 0 1 +growth. Overexpression growth. g gr gro grow BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 .,, 3 9 0 0 0 0 1 +increase of increase i in inc incr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 []. 3 9 0 0 0 0 1 +produced by produced p pr pro prod BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 []-, 4 9 0 0 0 0 1 +dephosphorylation and dephosphorylation d de dep deph BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 ., 2 9 0 0 0 0 1 +UppP enzymes uppp U Up Upp UppP BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 0 2 -, 2 9 0 0 0 0 1 +dephosphorylation. LpxT dephosphorylation. d de dep deph BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 .-- 3 9 0 0 0 0 1 +and its and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 no 0 9 0 0 0 0 1 +another function. another a an ano anot BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 .,-- 4 10 0 0 0 0 1 +phate group phate p ph pha phat BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 0 2 ,,- 3 9 0 0 0 0 1 +form of form f fo for form BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 0 2 []., 4 9 0 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 9 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 1 9 ://././.., 10 10 0 1 0 0 0 +2 / 2 2 2 2 2 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 9 / 1 0 0 1 0 0 0 +Diseases" (grant diseases" D Di Dis Dise BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 10 "(----;:// 10 9 1 0 0 0 1 +www.agence-nationale-recherche.fr/ www.agence-nationale-recherche.fr/ www.agence-nationale-recherche.fr/ w ww www www. 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This investissements-d-avenir/). i in inv inve BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 10 --/). 5 8 1 0 0 0 1 +supported by supported s su sup supp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 10 no 0 9 1 0 0 0 1 +(ANR; grant (anr; ( (A (AN (ANR BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 1 10 (;---;://. 10 8 1 0 0 0 1 +agence-nationale-recherche.fr/) and agence-nationale-recherche.fr/) a ag age agen BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 10 --./) 5 9 1 0 0 0 1 +(grant n˚dim140053; (grant ( (g (gr (gra BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 10 (;://.-./) 10 9 1 0 0 0 1 +to Dominique to t to to to BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 10 -.. 3 9 1 0 0 0 1 +Elise Gasiorowski elise E El Eli Elis BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 1 10 no 0 9 1 0 0 0 1 +from the from f fr fro from BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 10 no 0 9 1 0 0 0 1 +(FRM; fellowship (frm; ( (F (FR (FRM BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 1 10 (;;://. 7 9 1 0 0 0 1 +frm.org/en). The frm.org/en). f fr frm frm. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 10 ./). 4 9 1 0 0 0 1 +design, data design, d de des desi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 10 ,, 2 10 1 0 0 0 1 +publish, or publish, p pu pub publ BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 10 ,. 2 8 1 0 0 0 1 +Competing interests: competing C Co Com Comp BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 11 : 1 10 0 0 0 0 1 +that no that t th tha that BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 11 . 1 7 0 0 0 0 1 +biosynthesis via biosynthesis b bi bio bios BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 ()- 3 9 1 0 0 0 1 +glycerol (PG) glycerol g gl gly glyc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 ()[].., 7 8 1 0 0 0 1 +sharing the sharing s sh sha shar BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 .-- 3 9 1 0 0 0 1 +phatases leads phatases p ph pha phat BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 []. 3 9 1 0 0 0 1 +from E. from f fr fro from BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 .. 2 9 1 0 0 0 1 +between the between b be bet betw BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 , 1 8 1 0 0 0 1 +in C in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 1 0 -[,,]. 6 3 1 0 0 0 1 +More recently, more M Mo Mor More BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 0 ,.[,] 5 8 1 0 0 0 1 +again an again a ag aga agai BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 ., 2 9 1 0 0 0 1 +the unique the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 no 0 9 1 0 0 0 1 +possibility that possibility p po pos poss BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 / 1 9 1 0 0 0 1 +may function may m ma may may BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 1 0 0 1 0 -. 2 6 1 0 0 0 1 +Helicobacter pylori helicobacter H He Hel Heli BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 0 ,-,,-- 6 8 1 0 0 0 1 +rium that rium r ri riu rium BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 '[]. 4 9 1 0 0 0 1 +gastritis and gastritis g ga gas gast BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 []. 3 10 1 0 0 0 1 +class I class c cl cla clas BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 ..,. 4 9 1 0 0 0 1 +does not does d do doe does BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 :(),, 5 8 1 0 0 0 1 +HP0851 and hp0851 H HP HP0 HP08 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 0 ().- 4 8 1 0 0 0 1 +tions. The tions. t ti tio tion BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 ...- 4 9 1 0 0 0 1 +sible for sible s si sib sibl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 - 1 9 1 0 0 0 1 +of a of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 ()[].'- 7 9 1 0 0 0 1 +phosphatase. Both phosphatase. p ph pho phos BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 ., 2 9 1 0 0 0 1 +confers cationic confers c co con conf BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 () 2 8 1 0 0 0 1 +immune system, immune i im imm immu BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 ,.[]. 5 9 1 0 0 0 1 +this study this t th thi this BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 .. 2 9 1 0 0 0 1 +We describe we W We We We BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 0 ,,- 3 8 1 0 0 0 1 +lipid biosynthesis lipid l li lip lipi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 ., 2 8 1 0 0 0 1 +that HupA that t th tha that BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 - 1 9 1 0 0 0 1 +ach. In ach. a ac ach ach. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 .,- 3 9 1 0 0 0 1 +tic targets tic t ti tic tic BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 .,' 3 9 1 0 0 0 1 +and is and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 - 1 9 1 0 0 0 1 +otic resistance. otic o ot oti otic BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 ., 2 9 1 0 0 0 1 +involved in involved i in inv invo BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 ,. 2 7 1 0 0 0 1 +Results Results results R Re Res Resu BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 1 8 no 0 10 0 0 0 0 1 +Purification of purification P Pu Pur Puri BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 8 no 0 10 0 0 0 0 1 +To characterize to T To To To BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 8 .(,,),- 7 9 0 0 0 0 1 +responding genes responding r re res resp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 no 0 9 0 0 0 0 1 +strong IPTG-inducible strong s st str stro BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 1 8 -().--- 7 8 0 0 0 0 1 +teins were teins t te tei tein BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 8 .(). 4 9 0 0 0 0 1 +extracted from extracted e ex ext extr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 ----() 6 8 0 0 0 0 1 +detergent and detergent d de det dete BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 - 1 9 0 0 0 0 1 +agarose beads agarose a ag aga agar BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 8 (). 3 9 0 0 0 0 1 +of these of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 .,., 4 10 0 0 0 0 1 +LpxE, HP0350 lpxe, L Lp Lpx LpxE BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 8 ,- 2 9 0 0 0 0 1 +(Fig 1A), (fig ( (F (Fi (Fig BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 8 (),., 5 9 0 0 0 0 1 +in the in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 1 8 (). 3 9 0 0 0 0 1 +UppP activities uppp U Up Upp UppP BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 8 .., 3 9 0 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 2 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 2 11 ://././.., 10 10 0 1 1 1 0 +3 / 3 3 3 3 3 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 2 11 / 1 0 0 1 0 0 0 +Table 1. table T Ta Tab Tabl BLOCKSTART PAGESTART NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 2 0 .. 2 10 1 1 0 0 1 +Strains Strains strains S St Str Stra BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 2 0 no 0 3 1 1 0 0 1 +Genotype Genotype genotype G Ge Gen Geno BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 2 0 no 0 3 1 1 0 0 1 +Resistance a resistance R Re Res Resi BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 2 0 no 0 10 1 1 0 0 1 +E. coli e. E E. E. E. 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H H. H. H. 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Two [19]. [ [1 [19 [19] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 0 [].,- 5 9 0 0 0 0 1 +1 and 1 1 1 1 1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 4 0 '- 2 9 0 0 0 0 1 +phosphate at phosphate p ph pho phos BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 '., 3 9 0 0 0 0 1 +were very were w we wer were BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 -. 2 9 0 0 0 0 1 +in polymyxin in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 4 0 ., 2 9 0 0 0 0 1 +we confirmed we w we we we BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 () 2 9 0 0 0 0 1 +involved in involved i in inv invo BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 (). 3 4 0 0 0 0 1 +Table 4. table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 7 ./.. 4 10 1 1 0 0 1 +Helicobacter pylori helicobacter H He Hel Heli BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 7 no 0 10 1 1 0 0 1 +hupA::Km hupA::Km hupa::km h hu hup hupA BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 7 :: 2 3 1 1 0 0 1 +Transformation rate transformation T Tr Tra Tran BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 7 no 0 5 1 1 0 0 1 +(transformants/cfu/μg TopoTAΔlpxE) (transformants/cfu/μg ( (t (tr (tra BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 7 (//) 4 10 1 1 0 0 1 +-ITPG -ITPG -itpg - 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- - - - - BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 4 10 - 1 2 0 0 0 0 1 +lpxE::Gm lpxE::Gm lpxe::gm l lp lpx lpxE BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 10 :: 2 10 0 0 0 0 1 +64 64 64 6 64 64 64 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 4 10 no 0 3 0 0 0 0 1 +32 32 32 3 32 32 32 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 4 10 no 0 3 0 0 0 0 1 +lpxF::Km lpxF::Km lpxf::km l lp lpx lpxF BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 10 :: 2 10 0 0 0 0 1 +16 16 16 1 16 16 16 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 4 10 no 0 3 0 0 0 0 1 +128 128 128 1 12 128 128 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 4 10 no 0 4 0 0 0 0 1 +hp0350::Km hp0350::Km hp0350::km h hp hp0 hp03 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 10 :: 2 10 0 0 0 0 1 +2048 2048 2048 2 20 204 2048 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 1 0 0 0 4 10 no 0 4 0 0 0 0 1 +1 1 1 1 1 1 1 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 4 10 no 0 1 0 0 0 0 1 +hupA::Km hupA::Km hupa::km h hu hup hupA BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 10 :: 2 10 0 0 0 0 1 +512 512 512 5 51 512 512 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 4 10 no 0 4 0 0 0 0 1 +4 4 4 4 4 4 4 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 4 10 no 0 2 0 0 0 0 1 +hupA::Km + hupa::km h hu hup hupA BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 10 :: 2 10 0 1 0 0 1 +2048 2048 2048 2 20 204 2048 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 1 0 0 0 4 10 no 0 2 0 1 0 0 1 +1 1 1 1 1 1 1 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 4 10 no 0 0 0 1 0 0 1 +MICs are mics M MI MIC MICs BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 10 /. 2 10 0 1 0 0 1 +https://doi.org/10.1371/journal.ppat.1007972.t005 https://doi.org/10.1371/journal.ppat.1007972.t005 https://doi.org/10.1371/journal.ppat.1007972.t005 h ht htt http BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 4 11 ://././... 10 10 0 1 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 4 11 ://././.., 10 10 0 1 1 0 0 +9 / 9 9 9 9 9 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 4 11 / 1 0 0 1 0 0 0 +HupA is hupa H Hu Hup HupA BLOCKSTART PAGESTART NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 0 no 0 10 1 1 0 0 1 +The maximal the T Th The The BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 0 .() 3 9 1 1 0 0 1 +assays were assays a as ass assa BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 .. 2 10 1 1 0 0 1 +Fig 3. fig F Fi Fig Fig BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 3 ..-(),(),(),()()() 18 10 1 0 0 0 1 +in strain in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 4 3 --. 3 9 1 0 0 0 1 +for each for f fo for for BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 3 . 1 1 1 0 0 0 1 +https://doi.org/10.1371/journal.ppat.1007972.g003 https://doi.org/10.1371/journal.ppat.1007972.g003 https://doi.org/10.1371/journal.ppat.1007972.g003 h ht htt http BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 4 8 ://././... 10 10 1 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 9 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 4 10 ://././.., 10 10 0 1 1 0 0 +10 / 10 1 10 10 10 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 4 10 / 1 1 0 1 0 0 0 +buffering the buffering b bu buf buff BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 0 [], 3 9 1 0 0 0 1 +any assays any a an any any BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 .,,. 4 9 1 0 0 0 1 +is mainly is i is is is BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 ,-., 4 9 1 0 0 0 1 +noticed that noticed n no not noti BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 -(/ 3 10 1 0 0 0 1 +min/mg), while min/mg), m mi min min/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 0 /),.-(//) 9 8 1 0 0 0 1 +(Table 2). (table ( (T (Ta (Tab BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 0 ()., 4 9 1 0 0 0 1 +the hupA the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 .- 2 9 1 0 0 0 1 +tion assays. tion t ti tio tion BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 0 .- 2 9 1 0 0 0 1 +X47 and x47 X X4 X47 X47 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 0 - 1 9 1 0 0 0 1 +mice after mice m mi mic mice BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 ,,,.- 5 9 1 0 0 0 1 +ficed in ficed f fi fic fice BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 0 / 1 9 1 0 0 0 1 +course. The course. c co cou cour BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 . 1 9 1 0 0 0 1 +after inoculation, after a af aft afte BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 ,. 2 10 1 0 0 0 1 +in vivo, in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 4 0 , 1 9 1 0 0 0 1 +growth (Fig growth g gr gro grow BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 (). 3 1 1 0 0 0 1 +HupA has hupa H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 5 3 no 0 10 0 0 0 0 1 +HupA is hupa H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 5 4 ., 2 9 0 0 0 0 1 +UppP and uppp U Up Upp UppP BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 5 4 no 0 9 0 0 0 0 1 +of PGP of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 .., 3 9 0 0 0 0 1 +proteins named proteins p pr pro prot BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 ,[,,]. 6 9 0 0 0 0 1 +putative gene putative p pu put puta BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 .,, 3 9 0 0 0 0 1 +while no while w wh whi whil BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 . 1 9 0 0 0 0 1 +the N-terminal-His the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 --.() 5 9 0 0 0 0 1 +membranes to membranes m me mem memb BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 (). 3 8 0 0 0 0 1 +enzymes, PgpA enzymes, e en enz enzy BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 ,-,- 4 8 0 0 0 0 1 +sented an sented s se sen sent BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 (). 3 9 0 0 0 0 1 +then fully then t th the then BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 //., 4 9 0 0 0 0 1 +HP0737 did hp0737 H HP HP0 HP07 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 5 4 no 0 9 0 0 0 0 1 +did not did d di did did BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 .. 2 9 0 0 0 0 1 +HP0737 both hp0737 H HP HP0 HP07 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 5 4 ,. 2 9 0 0 0 0 1 +readily generated readily r re rea read BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 (). 3 9 0 0 0 0 1 +previous study previous p pr pre prev BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 [].- 4 9 0 0 0 0 1 +gested the gested g ge ges gest BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 . 1 6 0 0 0 0 1 +We then we W We We We BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 4 .- 2 9 0 0 0 0 1 +sis of sis s si sis sis BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 .-- 3 9 0 0 0 0 1 +(lpxE, hp0350, (lpxe, ( (l (lp (lpx BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 (,,,). 6 9 0 0 0 0 1 +activity was activity a ac act acti BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 (). 3 9 0 0 0 0 1 +of the of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 - 1 9 0 0 0 0 1 +observed, while observed, o ob obs obse BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 ,.- 3 10 0 0 0 0 1 +ditions, HupA ditions, d di dit diti BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 ,. 2 9 0 0 0 0 1 +pylori. pylori. pylori. p py pyl pylo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 . 1 0 0 0 0 0 1 +To further to T To To To BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 4 , 1 9 0 0 0 0 1 +complementation assays complementation c co com comp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 . 1 9 0 0 0 0 1 +pTrcHis30-based plasmids. ptrchis30-based p pT pTr pTrc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 0 0 0 0 5 4 -.,- 4 9 0 0 0 0 1 +ple mutant ple p pl ple ple BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 (,,) 4 9 0 0 0 0 1 +replication is replication r re rep repl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 4 ., 2 9 0 0 0 0 1 +this thermosensitive this t th thi this BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 4 , 1 9 0 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 5 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 5 11 ://././.., 10 10 0 1 1 0 0 +11 / 11 1 11 11 11 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 5 11 / 1 1 0 1 0 0 0 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGESTART SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 5 0 ,. 2 10 1 1 1 1 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 5 4 ://././.., 10 10 1 1 1 0 0 +12 / 12 1 12 12 12 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 5 4 / 1 1 1 1 0 0 0 +(Table 6). (table ( (T (Ta (Tab BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 0 ().,, 5 9 0 0 0 0 1 +growth of growth g gr gro grow BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 0 . 1 3 0 0 0 0 1 +The apparent the T Th The The BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 0 no 0 8 0 0 0 0 1 +inactivation did inactivation i in ina inac BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 0 . 1 9 0 0 0 0 1 +in the in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 5 0 ., 2 10 0 0 0 0 1 +and pgpA and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 0 ,/. 3 9 0 0 0 0 1 +suggest that suggest s su sug sugg BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 0 . 1 9 0 0 0 0 1 +in vitro. in i in in in BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 5 0 . 1 1 0 0 0 0 1 +Broad substrate broad B Br Bro Broa BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 2 . 1 10 0 0 0 0 1 +Since the since S Si Sin Sinc BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 2 , 1 9 1 0 0 0 1 +the substrate the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 2 ()., 4 9 1 0 0 0 1 +phosphatase activity phosphatase p ph pho phos BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 2 . 1 9 1 0 0 0 1 +using all using u us usi usin BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 2 no 0 9 1 0 0 0 1 +with the with w wi wit with BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 2 -. 2 8 1 0 0 0 1 +enzymes revealed enzymes e en enz enzy BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 2 , 1 9 1 0 0 0 1 +likely the likely l li lik like BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 2 .- 2 9 1 0 0 0 1 +site, therefore site, s si sit site BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 2 ,-., 4 10 1 0 0 0 1 +demonstrates that demonstrates d de dem demo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 2 -,- 3 9 1 0 0 0 1 +ticular C ticular t ti tic ticu BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 2 -., 3 9 1 0 0 0 1 +Fig 4. fig F Fi Fig Fig BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 6 .,,,. 5 9 1 0 0 0 1 +with the with w wi wit with BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 6 .(),(),()()() 13 10 1 0 0 0 1 +enumeration of enumeration e en enu enum BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 6 (/). 4 9 1 0 0 0 1 +are illustrated are a ar are are BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 6 .-. 3 10 1 0 0 0 1 +a statistically a a a a a BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 1 0 1 0 0 0 0 0 5 6 ,,-(.; 6 9 1 0 0 0 1 +��� p<0,001). ��� � �� ��� ��� BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 5 6 ,).. 4 8 1 0 0 0 1 +https://doi.org/10.1371/journal.ppat.1007972.g004 https://doi.org/10.1371/journal.ppat.1007972.g004 https://doi.org/10.1371/journal.ppat.1007972.g004 h ht htt http BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 5 9 ://././... 10 10 1 0 0 0 1 +Fig 5. fig F Fi Fig Fig BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 9 ..()::(),::(), 14 9 1 1 0 0 1 +hupA::Km (brown) hupa::km h hu hup hupA BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 5 9 ::()::(), 9 10 1 1 0 0 1 +growth conditions growth g gr gro grow BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 9 . 1 1 1 1 0 0 1 +https://doi.org/10.1371/journal.ppat.1007972.g005 https://doi.org/10.1371/journal.ppat.1007972.g005 https://doi.org/10.1371/journal.ppat.1007972.g005 h ht htt http BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 5 11 ://././... 10 10 1 1 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 5 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 5 11 ://././.., 10 10 1 1 1 0 0 +13 / 13 1 13 13 13 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 5 11 / 1 1 1 1 0 0 0 +PGP. LpxE pgp. P PG PGP PGP. BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 5 0 .,-,- 5 10 1 0 0 0 1 +ties were ties t ti tie ties BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 0 .,-. 4 9 1 0 0 0 1 +Since HupA since S Si Sin Sinc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 0 , 1 8 1 0 0 0 1 +sensitivity could sensitivity s se sen sens BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 5 0 . 1 9 1 0 0 0 1 +We measured we W We We We BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 5 0 - 1 9 1 0 0 0 1 +Fig 6. fig F Fi Fig Fig BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 5 ... 3 9 1 0 0 0 1 +the wild-type the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 5 -. 2 9 1 0 0 0 1 +extracts (A). extracts e ex ext extr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 5 ().-.() 7 10 1 0 0 0 1 +towards various towards t to tow towa BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 5 . 1 2 1 0 0 0 1 +https://doi.org/10.1371/journal.ppat.1007972.g006 https://doi.org/10.1371/journal.ppat.1007972.g006 https://doi.org/10.1371/journal.ppat.1007972.g006 h ht htt http BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 6 9 ://././... 10 10 1 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 10 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 6 10 ://././.., 10 10 0 1 1 0 0 +14 / 14 1 14 14 14 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 10 / 1 1 0 1 0 0 0 +antimicrobial, one antimicrobial, a an ant anti BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 0 ,,,,, 5 10 0 0 0 0 1 +teicoplanin and teicoplanin t te tei teic BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 0 . 1 9 0 0 0 0 1 +MICs to mics M MI MIC MICs BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 0 . 1 3 0 0 0 0 1 +Absence of absence A Ab Abs Abse BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 0 ,- 2 9 0 0 0 0 1 +ing the ing i in ing ing BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 0 0 0 0 0 0 6 0 no 0 10 0 0 0 0 1 +membrane charge membrane m me mem memb BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 . 1 9 0 0 0 0 1 +the broad the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 , 1 9 0 0 0 0 1 +hupA mutant. hupa h hu hup hupA BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 0 .,- 3 9 0 0 0 0 1 +similar phospholipid similar s si sim simi BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 . 1 3 0 0 0 0 1 +PgpB, YbjG pgpb, P Pg Pgp PgpB BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 2 ,.. 3 10 0 0 0 0 1 +Since, HupA since, S Si Sin Sinc BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 2 ,.,/. 5 9 0 0 0 0 1 +coli are coli c co col coli BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 2 .. 2 9 0 0 0 0 1 +described by described d de des desc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 - 1 9 0 0 0 0 1 +ing different ing i in ing ing BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 0 0 0 0 0 0 6 2 /.. 3 9 0 0 0 0 1 +deleted for deleted d de del dele BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 () 2 9 0 0 0 0 1 +four E. four f fo fou four BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 .(,,)- 6 9 0 0 0 0 1 +promoter. The promoter. p pr pro prom BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 .., 3 10 0 0 0 0 1 +under control under u un und unde BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 .., 3 9 0 0 0 0 1 +are likely are a ar are are BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 .., 3 9 0 0 0 0 1 +pILL2157 promoter pill2157 p pI pIL pILL BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 0 6 2 no 0 9 0 0 0 0 1 +[27]. The [27]. [ [2 [27 [27] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 6 2 [].., 5 9 0 0 0 0 1 +complement the complement c co com comp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 .. 2 10 0 0 0 0 1 +expression level expression e ex exp expr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 (..),/ 6 9 0 0 0 0 1 +mutant (1.08 mutant m mu mut muta BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 (.-//). 7 9 0 0 0 0 1 +contrast, at contrast, c co con cont BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 ,(..),, 7 10 0 0 0 0 1 +complement the complement c co com comp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 ., 2 9 0 0 0 0 1 +even though even e ev eve even BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 2 -,. 3 9 0 0 0 0 1 +UppP of uppp U Up Upp UppP BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 2 ,.. 3 6 0 0 0 0 1 +Discussion Discussion discussion D Di Dis Disc BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 8 no 0 10 0 1 0 0 1 +The recycling the T Th The The BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 8 - 1 10 0 1 0 0 1 +as PGN, as a as as as BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 8 ,-[].- 6 8 0 1 0 0 1 +Table 6. table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 9 ... 3 10 1 1 0 0 1 +pylori. pylori. pylori. p py pyl pylo BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 9 . 1 0 1 1 0 0 1 +E. coli e. E E. E. E. BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 1 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 6 9 . 1 10 1 1 0 0 1 +CFU/mL CFU/mL cfu/ml C CF CFU CFU/ BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 9 / 1 4 1 1 0 0 1 +30˚C 30˚C 30˚c 3 30 30˚ 30˚C BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 6 9 no 0 10 1 1 0 0 1 +42˚C 42˚C 42˚c 4 42 42˚ 42˚C BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 6 9 no 0 10 1 1 0 0 1 +- - - - - - - BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 9 - 1 2 1 0 0 0 1 +211 211 211 2 21 211 211 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 9 no 0 10 1 0 0 0 1 +1 1 1 1 1 1 1 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 9 no 0 5 1 0 0 0 1 ++pTrc His30 +ptrc + +p +pT +pTr BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 9 no 0 10 1 0 0 0 1 +97 97 97 9 97 97 97 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 9 no 0 1 1 0 0 0 1 +140 140 140 1 14 140 140 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 9 no 0 2 1 0 0 0 1 ++pTrc His30 +ptrc + +p +pT +pTr BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 9 no 0 10 0 0 0 0 1 +152 152 152 1 15 152 152 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 9 no 0 2 0 0 0 0 1 +0 0 0 0 0 0 0 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 9 no 0 1 0 0 0 0 1 ++pTrc His30 +ptrc + +p +pT +pTr BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 10 no 0 10 0 0 0 0 1 +289 289 289 2 28 289 289 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 10 no 0 2 0 0 0 0 1 +279 279 279 2 27 279 279 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 10 no 0 2 0 0 0 0 1 ++pTrc His30 +ptrc + +p +pT +pTr BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 10 no 0 10 0 0 0 0 1 +75 75 75 7 75 75 75 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 10 no 0 1 0 0 0 0 1 +0 0 0 0 0 0 0 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 10 no 0 1 0 0 0 0 1 ++pTrc His30 +ptrc + +p +pT +pTr BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 10 no 0 10 0 0 0 0 1 +652 652 652 6 65 652 652 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 10 no 0 2 0 0 0 0 1 +844 844 844 8 84 844 844 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 10 no 0 2 0 0 0 0 1 +The E. the T Th The The BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 10 .- 2 10 0 0 0 0 1 +two ampicillin-containing two t tw two two BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 10 -. 2 10 0 0 0 0 1 +incubation. incubation. incubation. i in inc incu BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 11 . 1 10 0 0 0 0 1 +https://doi.org/10.1371/journal.ppat.1007972.t006 https://doi.org/10.1371/journal.ppat.1007972.t006 https://doi.org/10.1371/journal.ppat.1007972.t006 h ht htt http BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 6 11 ://././... 10 10 0 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 6 11 ://././.., 10 10 0 1 1 0 0 +15 / 15 1 15 15 15 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 11 / 1 1 0 1 0 0 0 +positive bacterium positive p po pos posi BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 .[]-.. 6 9 0 0 0 0 1 +enzymes from enzymes e en enz enzy BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 .-,, 4 9 0 0 0 0 1 +demonstrated to demonstrated d de dem demo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 no 0 9 0 0 0 0 1 +from LPS. from f fr fro from BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 .-,, 4 8 0 0 0 0 1 +characterized. HupA characterized. c ch cha char BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 .., 3 9 0 0 0 0 1 +as a as a as as as BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 -, 2 9 0 0 0 0 1 +involved in involved i in inv invo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 -[]. 4 8 0 0 0 0 1 +Here, we here, H He Her Here BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 0 ,,, 3 9 0 0 0 0 1 +C 55 c C C C C BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 0 -., 3 9 0 0 0 0 1 +in the in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 6 0 .,, 3 9 0 0 0 0 1 +which is which w wh whi whic BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 .. 2 10 0 0 0 0 1 +function, we function, f fu fun func BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 ,./ 3 9 0 0 0 0 1 +BacA conditionally baca B Ba Bac BacA BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 6 0 . 1 9 0 0 0 0 1 +one or one o on one one BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 -.., 4 9 0 0 0 0 1 +showed that showed s sh sho show BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 .,- 3 9 0 0 0 0 1 +tively. However, tively. t ti tiv tive BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 0 .,.. 4 9 0 0 0 0 1 +The inactivation the T Th The The BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 0 , 1 8 0 0 0 0 1 +Table 7. table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 5 .().. 5 10 1 1 0 0 1 +Helicobacter pylori helicobacter H He Hel Heli BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 5 no 0 10 1 1 0 0 1 +Colistin Colistin colistin C Co Col Coli BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 5 no 0 3 1 1 0 0 1 +Vancomycin Vancomycin vancomycin V Va Van Vanc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 5 no 0 4 1 1 0 0 1 +Teicoplanin Teicoplanin teicoplanin T Te Tei Teic BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 5 no 0 5 1 1 0 0 1 +Daptomycin Daptomycin daptomycin D Da Dap Dapt BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 5 no 0 4 1 1 0 0 1 +WT WT wt W WT WT WT BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 6 5 no 0 10 1 1 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 5 no 0 6 1 1 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 5 no 0 6 1 1 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 5 no 0 6 1 1 0 0 1 +R R r R R R R BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 5 no 0 6 1 1 0 0 1 +lpxE::Gm lpxE::Gm lpxe::gm l lp lpx lpxE BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 6 :: 2 10 1 1 0 0 1 +12 12 12 1 12 12 12 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 6 no 0 3 1 1 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 1 1 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 1 1 0 0 1 +R R r R R R R BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 1 1 0 0 1 +lpxF::Km lpxF::Km lpxf::km l lp lpx lpxF BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 6 :: 2 10 1 0 0 0 1 +1 1 1 1 1 1 1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 1 0 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 1 0 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 1 0 0 0 1 +R R r R R R R BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 1 0 0 0 1 +hp0350::Km hp0350::Km hp0350::km h hp hp0 hp03 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS CONTAINSDIGITS 0 0 0 0 0 0 0 0 6 6 :: 2 10 1 0 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 1 1 0 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 1 1 0 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 1 1 0 0 0 1 +R R r R R R R BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 1 1 0 0 0 1 +hupA::Km hupA::Km hupa::km h hu hup hupA BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 6 6 :: 2 10 0 0 0 0 1 +64 64 64 6 64 64 64 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 6 6 no 0 3 0 0 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 0 0 0 0 1 +R R r R R R R BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 0 0 0 0 1 +R R r R R R R BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 6 6 no 0 2 0 0 0 0 1 +MICs are mics M MI MIC MICs BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 6 6 /:.-,../. 9 10 0 0 0 0 1 +https://doi.org/10.1371/journal.ppat.1007972.t007 https://doi.org/10.1371/journal.ppat.1007972.t007 https://doi.org/10.1371/journal.ppat.1007972.t007 h ht htt http BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 7 7 ://././... 10 10 0 0 0 0 1 +Table 8. table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 7 ././ 4 10 0 0 0 0 1 +genes. genes. genes. g ge gen gene BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 7 . 1 0 0 0 0 0 1 +Helicobacter pylori helicobacter H He Hel Heli BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 7 7 no 0 10 0 0 0 0 1 +hupA::Km hupA::Km hupa::km h hu hup hupA BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 7 :: 2 3 0 0 0 0 1 +Transformation rate transformation T Tr Tra Tran BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 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BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 8 5 .-, 3 9 0 0 0 0 1 +blood agar blood b bl blo bloo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 -[] 3 9 0 0 0 0 1 +37˚C for 37˚c 3 37 37˚ 37˚C BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 8 5 (,,). 5 10 0 0 0 0 1 +media is media m me med medi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 ,()() 5 9 0 0 0 0 1 +sterilized water. sterilized s st ste ster BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 .- 2 9 0 0 0 0 1 +cultures in cultures c cu cul cult BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 . 1 9 0 0 0 0 1 +started from started s st sta star BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 () 2 9 0 0 0 0 1 +fetal bovine fetal f fe fet feta BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 (). 3 9 0 0 0 0 1 +cultures of cultures c cu cul cult BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 . 1 9 0 0 0 0 1 +(Oxoid) supplemented (oxoid) ( (O (Ox (Oxo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 ().,. 5 9 0 0 0 0 1 +were grown were w we wer were BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 ..- 3 9 0 0 0 0 1 +erwise indicated, erwise e er erw erwi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 ,.. 3 9 0 0 0 0 1 +A non-polar a A A A A BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 1 0 0 0 0 0 8 5 --[] 4 8 0 0 0 0 1 +BamHI and bamhi B Ba Bam BamH BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 5 '' 2 9 0 0 0 0 1 +lpxE, hp0350, lpxe, l lp lpx lpxE BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 ,,,. 4 9 0 0 0 0 1 +used for used u us use used BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 ., 2 9 0 0 0 0 1 +ΔlpxE:kan, TopoTA δlpxe:kan, Δ Δl Δlp Δlpx BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 5 :,:,:,: 7 8 0 0 0 0 1 +ΔpgpA:kan were δpgpa:kan Δ Δp Δpg Δpgp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 5 :./ 3 9 0 0 0 0 1 +natural transformation. natural n na nat natu BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 .,- 3 9 0 0 0 0 1 +pUC18-Gm [31] puc18-gm p pU pUC pUC1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 0 0 0 0 8 5 -[]:. 5 6 0 0 0 0 1 +For the for F Fo For For BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 5 ,.., 4 9 0 0 0 0 1 +genes were genes g ge gen gene BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 () 2 8 0 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 8 11 ://././.., 10 10 0 1 1 0 0 +18 / 18 1 18 18 18 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 8 11 / 1 1 0 1 0 0 0 +pILL2150 or pill2150 p pI pIL pILL BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 0 8 0 (.)(- 5 10 1 1 0 0 1 +sion in sion s si sio sion BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 .). 3 1 1 1 0 0 1 +Expression and expression E Ex Exp Expr BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 0 . 1 10 1 0 0 0 1 +E. coli e. 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( (B (Bi (Bio BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 ().,- 5 9 1 0 0 0 1 +branes, which branes, b br bra bran BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 ,. 2 9 1 0 0 0 1 +in buffer in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 8 0 . 1 9 1 0 0 0 1 +Solubilized membranes solubilized S So Sol Solu BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 0 -(--, 5 9 1 0 0 0 1 +Qiagen) equilibrated qiagen) Q Qi Qia Qiag BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 0 ).. 3 8 1 0 0 0 1 +column was column c co col colu BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 9 1 0 0 0 1 +elution was elution e el elu elut BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 . 1 8 1 0 0 0 1 +imidazole. Desalting imidazole. i im imi imid BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 .-(- 4 9 1 0 0 0 1 +care) and care) c ca car care BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 ).. 3 8 1 0 0 0 1 +with the with w wi wit with BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 () 2 8 1 0 0 0 1 +appropriate. appropriate. appropriate. a ap app appr BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 . 1 1 1 0 0 0 1 +H. pylori h. H H. H. H. BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 1 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 8 5 . 1 10 0 0 0 0 1 +H. pylori h. H H. H. H. BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 1 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 8 5 .-(- 4 9 0 0 0 0 1 +ture) up ture) t tu tur ture BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 ).,,- 5 9 0 0 0 0 1 +branes were branes b br bra bran BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 []., 4 9 0 0 0 0 1 +washed and washed w wa was wash BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 -,.,(). 7 9 0 0 0 0 1 +disruption by disruption d di dis disr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 ,- 2 10 0 0 0 0 1 +pended in pended p pe pen pend BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 .. 2 9 0 0 0 0 1 +The solubilized the T Th The The BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 5 no 0 9 0 0 0 0 1 +-20˚C before -20˚c - -2 -20 -20˚ BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 8 5 -. 2 3 0 0 0 0 1 +H. pylori h. H H. H. H. BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 1 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 8 7 . 1 10 0 0 0 0 1 +H. pylori h. H H. H. H. BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 1 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 8 7 .-( 3 9 0 0 0 0 1 +culture) up culture) c cu cul cult BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 7 ).( 3 10 0 0 0 0 1 +K et k K K K K BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 8 7 .).-(), 7 10 0 0 0 0 1 +the dried the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 - 1 10 0 0 0 0 1 +form. 10μl form. f fo for form BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 ..- 3 10 0 0 0 0 1 +oped in oped o op ope oped BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 7 --(::[/]). 10 9 0 0 0 0 1 +drying the drying d dr dry dryi BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 ,(). 4 9 0 0 0 0 1 +C 55 c C C C C BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 8 9 - 1 10 0 0 0 0 1 +The C the T Th The The BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 9 - 1 10 0 0 0 0 1 +20 mM 20 2 20 20 20 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 9 -,.,-,,.,[] 11 8 0 0 0 0 1 +C 55 c C C C C BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 9 9 -[](). 6 9 0 0 0 0 1 +mixture when mixture m mi mix mixt BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 9 ., 2 9 0 0 0 0 1 +of membrane of o of of of BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 9 ,. 2 9 0 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 9 11 ://././.., 10 10 0 1 1 0 0 +19 / 19 1 19 19 19 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 11 / 1 1 0 1 0 0 0 +mixture was mixture m mi mix mixt BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 - 1 9 1 0 0 0 1 +uid nitrogen. uid u ui uid uid BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 . 1 9 1 0 0 0 1 +chromatography (TLC) chromatography c ch chr chro BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 (),-[][]- 9 9 1 0 0 0 1 +sis. When sis. s si sis sis. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 ., 2 10 1 0 0 0 1 +in sodium in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 9 0 (-),-(-)(-). 12 8 1 0 0 0 1 +The phosphatase the T Th The The BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 -:-,-, 6 9 1 0 0 0 1 +(C8) glycerol-PP (c8) ( (C (C8 (C8) BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 0 ()-()(), 8 8 1 0 0 0 1 +amount of amount a am amo amou BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 . 1 8 1 0 0 0 1 +described above described d de des desc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 . 1 9 1 0 0 0 1 +37˚C, the 37˚c, 3 37 37˚ 37˚C BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 0 ,( 2 9 1 0 0 0 1 +green, Enzo green, g gr gre gree BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 ,), 3 9 1 0 0 0 1 +absorbance at absorbance a ab abs abso BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 . 1 2 1 0 0 0 1 +E. coli e. E E. E. E. BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 1 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 9 3 . 1 10 0 0 0 0 1 +The E. the T Th The The BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 .,- 3 8 0 0 0 0 1 +somal gene somal s so som soma BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 3 --,, 4 9 0 0 0 0 1 +replication is replication r re rep repl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 3 ,[].- 5 10 0 0 0 0 1 +formed by formed f fo for form BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 -. 2 9 0 0 0 0 1 +encoding genes. encoding e en enc enco BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 .- 2 9 0 0 0 0 1 +plemented with plemented p pl ple plem BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 3 /,., 4 9 0 0 0 0 1 +cell suspension cell c ce cel cell BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 - 1 9 0 0 0 0 1 +ampicillin-containing 2YT ampicillin-containing a am amp ampi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 3 -. 2 9 0 0 0 0 1 +The colony the T Th The The BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 ()- 3 9 0 0 0 0 1 +mentation of mentation m me men ment BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 3 no 0 9 0 0 0 0 1 +to equally to t to to to BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 . 1 4 0 0 0 0 1 +Transformation rate transformation T Tr Tra Tran BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 5 no 0 10 0 0 0 0 1 +Precultures of precultures P Pr Pre Prec BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 5 .-, 3 10 0 0 0 0 1 +10% horse 10% 1 10 10% 10% BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 5 no 0 8 0 0 0 0 1 +(6% O (6% ( (6 (6% (6% BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 5 (,,).-- 7 9 0 0 0 0 1 +ditions such ditions d di dit diti BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 5 -. 2 9 0 0 0 0 1 +of suspension of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 no 0 9 0 0 0 0 1 +10 ng 10 1 10 10 10 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 5 .- 2 8 0 0 0 0 1 +10% horse 10% 1 10 10% 10% BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 5 . 1 9 0 0 0 0 1 +The transformation the T Th The The BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 5 (--).- 6 9 0 0 0 0 1 +and 10 and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 --- 3 9 0 0 0 0 1 +mented with mented m me men ment BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 5 (/),(/)(/) 10 8 0 0 0 0 1 +IPTG 1mM iptg I IP IPT IPTG BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 9 5 .-- 3 9 0 0 0 0 1 +on non-selective on o on on on BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 -- 2 8 0 0 0 0 1 +amphenicol (4 amphenicol a am amp amph BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 5 (/),(/) 7 8 0 0 0 0 1 +bacteria. The bacteria. b ba bac bact BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 . 1 9 0 0 0 0 1 +were enumerated. were w we wer were BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 ./ 2 8 0 0 0 0 1 +total cfu/μg total t to tot tota BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 /. 2 3 0 0 0 0 1 +Determination of determination D De Det Dete BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 10 () 2 10 0 1 0 0 1 +Strains were strains S St Str Stra BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 10 .. 2 10 0 1 0 0 1 +OD 600nm od O OD OD OD BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 9 10 .- 2 10 0 1 0 0 1 +ler Hinton ler l le ler ler BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 10 (),,- 5 9 0 1 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 9 11 ://././.., 10 10 0 1 1 0 0 +20 / 20 2 20 20 20 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 11 / 1 1 0 1 0 0 0 +chloride (TTC, chloride c ch chl chlo BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 (,)(/). 7 8 1 0 0 0 1 +(16384 μg/ml (16384 ( (1 (16 (163 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 9 0 (/./)., 7 10 1 0 0 0 1 +of each of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 .- 2 9 1 0 0 0 1 +bated at bated b ba bat bate BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 .- 2 9 1 0 0 0 1 +red the red r re red red BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 9 0 .- 2 9 1 0 0 0 1 +ing to ing i in ing ing BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 0 0 0 0 0 0 9 0 . 1 3 1 0 0 0 1 +Determination of determination D De Det Dete BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 1 () 2 10 0 0 0 0 1 +Strains were strains S St Str Stra BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 2 .. 2 9 0 0 0 0 1 +OD 600nm od O OD OD OD BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 9 2 . 1 9 0 0 0 0 1 +horse blood horse h ho hor hors BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 2 .,,- 4 9 0 0 0 0 1 +me ´rieux, me m me me me BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 2 ,(,,- 5 10 0 0 0 0 1 +mycin and mycin m my myc myci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 2 ) 1 9 0 0 0 0 1 +atmosphere. MICs atmosphere. a at atm atmo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 2 . 1 9 0 0 0 0 1 +clear halo clear c cl cle clea BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 2 . 1 2 0 0 0 0 1 +Colonization Colonization colonization C Co Col Colo BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 3 no 0 10 0 0 0 0 1 +OF1 female of1 O OF OF1 OF1 BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 3 no 0 9 0 0 0 0 1 +gavage with gavage g ga gav gava BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 3 (). 3 10 0 0 0 0 1 +were determined were w we wer were BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 ,,,. 4 9 0 0 0 0 1 +Mice were mice M Mi Mic Mice BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 9 0 0 0 0 1 +broth. The broth. b br bro brot BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 . 1 9 0 0 0 0 1 +10 μg/ml 10 1 10 10 10 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 3 /,- 3 10 0 0 0 0 1 +mach and mach m ma mac mach BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 0 0 0 0 0 0 9 3 /. 2 9 0 0 0 0 1 +days of days d da day days BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 .- 2 9 0 0 0 0 1 +tion experiments tion t ti tio tion BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 3 ()- 3 9 0 0 0 0 1 +used to used u us use used BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 (.- 3 10 0 0 0 0 1 +Pad Software, pad P Pa Pad Pad BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 ,). 3 2 0 0 0 0 1 +Isolation of isolation I Is Iso Isol BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 6 no 0 10 0 0 0 0 1 +For isolation for F Fo For For BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 7 ,... 4 9 0 0 0 0 1 +extraction was extraction e ex ext extr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 7 [,]. 4 10 0 0 0 0 1 +For visualization for F Fo For For BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 7 ,- 2 9 0 0 0 0 1 +(ABI 4700 (abi ( (A (AB (ABI BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 7 ()- 3 8 0 0 0 0 1 +described [34,35]. described d de des desc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 7 [,].,- 6 9 0 0 0 0 1 +(4:1, vol/vol), (4:1, ( (4 (4: (4:1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 (:,/),-- 8 9 0 0 0 0 1 +2meracaptobenzothiazole (CBMT) 2meracaptobenzothiazole 2 2m 2me 2mer BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 ()(/)-- 7 8 0 0 0 0 1 +(4:4:1, vol/vol/vol) (4:4:1, ( (4 (4: (4:4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 (::,//)(:,/),- 14 9 0 0 0 0 1 +ple-matrix mixture ple-matrix p pl ple ple- BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 7 -. 2 5 0 0 0 0 1 +Supporting information supporting S Su Sup Supp BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 9 no 0 10 0 0 0 0 1 +S1 Fig. s1 S S1 S1 S1 BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 ...()- 6 9 0 0 0 0 1 +of His of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 9 -.-. 4 9 0 0 0 0 1 +PgpA protein pgpa P Pg Pgp PgpA BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 9 .()- 4 9 0 0 0 0 1 +PgpA PGPase pgpa P Pg Pgp PgpA BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 9 . 1 10 0 0 0 0 1 +at a at a at at at BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 9 . 1 9 0 0 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 11 ://././.., 10 10 0 1 1 0 0 +21 / 21 2 21 21 21 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 10 11 / 1 1 0 1 0 0 0 +PgpA was pgpa P Pg Pgp PgpA BLOCKSTART PAGESTART NEWFONT HIGHERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 (,). 4 10 1 1 0 0 1 +(TIF) (TIF) (tif) ( (T (TI (TIF BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 () 2 1 1 1 0 0 1 +S2 Fig. s2 S S2 S2 S2 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 .. 2 10 1 0 0 0 1 +from N6 from f fr fro from BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 ()()::;()::;() 14 9 1 0 0 0 1 +lpxF::Km; (5) lpxf::km; l lp lpx lpxF BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 ::;()::.- 9 9 1 0 0 0 1 +trol phospholipids: trol t tr tro trol BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 ::;:;:; 7 10 1 0 0 0 1 +PG: Phosphotidylglycerol; pg: P PG PG: PG: BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 :;:;.:.. 8 9 1 0 0 0 1 +(TIF) (TIF) (tif) ( (T (TI (TIF BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 () 2 0 1 0 0 0 1 +S1 Table. s1 S S1 S1 S1 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 2 .. 2 10 0 0 0 0 1 +nucleotide sequence, nucleotide n nu nuc nucl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 2 ,. 2 9 0 0 0 0 1 +(DOCX) (DOCX) (docx) ( (D (DO (DOC BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 2 () 2 0 0 0 0 0 1 +Author Contributions author A Au Aut Auth BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 no 0 10 0 0 0 0 1 +Conceptualization: Dominique conceptualization: C Co Con Conc BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 2 :-,,. 5 10 0 0 0 0 1 +Funding acquisition: funding F Fu Fun Fund BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 :.,-,. 6 10 0 0 0 0 1 +Investigation: Elise investigation: I In Inv Inve BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 :,,,, 5 10 0 0 0 0 1 +Ecobichon, Sophie ecobichon, E Ec Eco Ecob BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 3 ,,.. 4 5 0 0 0 0 1 +Project administration: project P Pr Pro Proj BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 : 1 10 0 0 0 0 1 +´. ´. ´. ´ ´. ´. ´. BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 3 . 1 0 0 0 0 0 1 +Resources: Chantal resources: R Re Res Reso BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 :,. 3 10 0 0 0 0 1 +Supervision: M. supervision: S Su Sup Supe BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 :.,,. 5 10 0 0 0 0 1 +Validation: Rodolphe validation: V Va Val Vali BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 4 :,,. 4 10 0 0 0 0 1 +Visualization: Elise visualization: V Vi Vis Visu BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 4 :,,.. 5 10 0 0 0 0 1 +Writing -original writing W Wr Wri Writ BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 4 -:. 3 10 0 0 0 0 1 +Writing -review writing W Wr Wri Writ BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 4 -:-,, 5 10 0 0 0 0 1 +Boneca. Boneca. boneca. B Bo Bon Bone BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 4 . 1 0 0 0 0 0 1 +References References references R Re Ref Refe BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 5 no 0 10 0 0 0 0 1 +1. Barreteau 1. 1 1. 1. 1. BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 5 .,,,,,.- 8 10 0 0 0 0 1 +synthesis. FEMS synthesis. s sy syn synt BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 5 ..;:-.://././.-... 18 9 0 0 0 0 1 +PMID: 18266853 pmid: P PM PMI PMID BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 5 : 1 1 0 0 0 0 1 +2. Bouhss 2. 2 2. 2. 2. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 .,,,-.- 7 10 0 0 0 0 1 +intermediates. FEMS intermediates. i in int inte BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 6 ..;:-.://././.-.. 17 9 0 0 0 0 1 +00089.x PMID: 00089.x 0 00 000 0008 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 .: 2 2 0 0 0 0 1 +3. Apfel 3. 3 3. 3. 3. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 .,,,,.- 7 10 0 0 0 0 1 +caprenyl Pyrophosphate caprenyl c ca cap capr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 7 :,, 3 9 0 0 0 0 1 +Gene. J gene. G Ge Gen Gene BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 7 ..;:-.: 7 5 0 0 0 0 1 +4. Manat 4. 4 4. 4. 4. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 8 .,,,,,-,.- 10 10 0 0 0 0 1 +lism of lism l li lis lism BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 8 -:-. 4 10 0 0 0 0 1 +Drug Resist. drug D Dr Dru Drug BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 8 .;:-.://././..: 15 8 0 0 0 0 1 +5. Ghachi 5. 5 5. 5. 5. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 .,,,-. 6 9 0 0 0 0 1 +Undecaprenyl Pyrophosphate undecaprenyl U Un Und Unde BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 9 ..;:-.://. 10 10 0 0 0 0 1 +org/10.1074/jbc.M401701200 PMID: org/10.1074/jbc.m401701200 o or org org/ BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 9 /./.: 5 4 0 0 0 0 1 +6. Ghachi 6. 6 6. 6. 6. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 .,,,,,,.- 9 9 0 1 0 0 1 +chemical characterization chemical c ch che chem BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 10 - 1 9 0 1 0 0 1 +tase from tase t ta tas tase BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 10 ..;:-.://././-- 15 10 0 1 0 0 1 +2464-6 PMID: 2464-6 2 24 246 2464 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 10 -: 2 2 0 1 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 11 ://././.., 10 10 0 1 1 0 0 +22 / 22 2 22 22 22 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 10 11 / 1 1 0 1 0 0 0 +7. Ghachi 7. 7 7. 7. 7. BLOCKSTART PAGESTART NEWFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 .,,,-.- 7 10 1 1 0 0 1 +brane Proteins brane b br bra bran BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 (). 3 9 1 1 0 0 1 +Biol Chem. biol B Bi Bio Biol BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 .;:-.://././.: 14 8 1 1 0 0 1 +8. Azevedo 8. 8 8. 8. 8. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 .,,,-. 6 8 1 0 0 0 1 +Bacillus subtilis. bacillus B Ba Bac Baci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 .,,..;:-. 9 10 1 0 0 0 1 +PMID: 8215347 pmid: P PM PMI PMID BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 : 1 1 1 0 0 0 1 +9. Touze 9. 9 9. 9. 9. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 .,,,-,. 7 10 1 0 0 0 1 +linked to linked l li lin link BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 1 ..;:-.://./ 11 9 1 0 0 0 1 +10.1111/j.1365-2958.2007.06044.x PMID: 10.1111/j.1365-2958.2007.06044.x 1 10 10. 10.1 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 1 ./.-...: 8 4 1 0 0 0 1 +10. Icho 10. 1 10 10. 10. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 .,.- 4 10 0 0 0 0 1 +action on action a ac act acti BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 1 ..;:-.: 7 8 0 0 0 0 1 +11. Lu 11. 1 11 11. 11. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 2 .-,,,.- 7 10 0 0 0 0 1 +Membrane of membrane M Me Mem Memb BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 ..;:-.://././.. 15 9 0 0 0 0 1 +199265 PMID: 199265 1 19 199 1992 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 0 0 0 0 1 0 0 0 10 2 : 1 2 0 0 0 0 1 +12. Tatar 12. 1 12 12. 12. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 2 .,,,,.- 7 10 0 0 0 0 1 +pyrophosphate phosphatase pyrophosphate p py pyr pyro BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 11 2 ..;: 4 9 0 0 0 0 1 +2518-2529. https://doi.org/10.1099/mic.0.2007/006312-0 2518-2529. 2 25 251 2518 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 11 2 -.://././../-: 14 7 0 0 0 0 1 +13. Touze 13. 1 13 13. 13. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 3 .,,-. 5 10 0 0 0 0 1 +coli PgpB, coli c co col coli BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 11 3 ,..;:-. 7 8 0 0 0 0 1 +https://doi.org/10.1074/jbc.M800394200 PMID: https://doi.org/10.1074/jbc.m800394200 h ht htt http BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 11 3 ://././.: 9 5 0 0 0 0 1 +14. El 14. 1 14 14. 14. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 3 .,,-,,,,. 9 10 0 0 0 0 1 +undecaprenyl-pyrophosphate phosphatase undecaprenyl-pyrophosphate u un und unde BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 11 3 -.. 3 9 0 0 0 0 1 +2018; 9. 2018; 2 20 201 2018 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 11 3 ;. 2 0 0 0 0 0 1 +15. Workman 15. 1 15 15. 15. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 4 .,,. 4 9 0 0 0 0 1 +to bacterial to t to to to BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 11 4 -..;.://. 9 10 0 0 0 0 1 +org/10.1038/s41467-017-01881-x org/10.1038/s41467-017-01881-x org/10.1038/s41467-017-01881-x o or org org/ BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 0 11 4 /./--- 6 2 0 0 0 0 1 +16. Marshall 16. 1 16 16. 16. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 5 .,. 3 10 0 0 0 0 1 +ulceration. The ulceration. u ul ulc ulce BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 11 5 ..;:-. 6 4 0 0 0 0 1 +17. Blaser 17. 1 17 17. 17. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 5 ..-- 4 10 0 0 0 0 1 +mation. Gastroenterology. mation. m ma mat mati BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 11 5 ..;:-.://././-()-: 18 9 0 0 0 0 1 +1732141 1732141 1732141 1 17 173 1732 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 0 0 0 0 1 0 0 0 11 5 no 0 0 0 0 0 0 1 +18. Tran 18. 1 18 18. 18. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 5 .,,,,,,. 8 9 0 0 0 0 1 +Modification of modification M Mo Mod Modi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 11 5 -..;:- 6 10 0 0 0 0 1 +55791. https://doi.org/10.1074/jbc.M406480200 55791. 5 55 557 5579 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 5 .://././.: 10 6 0 0 0 0 1 +19. Cullen 19. 1 19 19. 19. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 6 .,,,,,.: 8 10 0 0 0 0 1 +Remodeling of remodeling R Re Rem Remo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 11 6 . 1 9 0 0 0 0 1 +Pathog. 2011;7. pathog. P Pa Pat Path BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 11 6 .;. 3 1 0 0 0 0 1 +20. Behrens 20. 2 20 20. 20. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 7 .,,,. 5 10 0 0 0 0 1 +strain N6. strain s st str stra BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 11 7 ..;:-.://././.-: 16 9 0 0 0 0 1 +21. Veyrier 21. 2 21 21. 21. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 7 .,,.-, 6 10 0 0 0 0 1 +pylori Isolate. pylori p py pyl pylo BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 11 7 ..;. 4 3 0 0 0 0 1 +22. Stead 22. 2 22 22. 22. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 7 .,,,.- 6 9 0 0 0 0 1 +saccharide and saccharide s sa sac sacc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 11 7 ..;:-.://./. 12 10 0 0 0 0 1 +1111/j.1365-2958.2010.07304.x PMID: 1111/j.1365-2958.2010.07304.x 1 11 111 1111 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 0 11 7 /.-...: 7 4 0 0 0 0 1 +23. Gutsmann 23. 2 23 23. 23. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 8 .,,,,,,.- 9 10 0 0 0 0 1 +Gram-negative bacteria gram-negative G Gr Gra Gram BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 11 8 --..; 5 9 0 0 0 0 1 +11: 167-173. 11: 1 11 11: 11: BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 8 :-.://././: 11 6 0 0 0 0 1 +24. Smoot 24. 2 24 24. 24. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 9 .,,,,. 6 10 0 0 0 0 1 +toxic to toxic t to tox toxi BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 11 9 ..;:-.: 7 8 0 0 0 0 1 +25. Icho 25. 2 25 25. 25. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 9 ..-:- 5 9 0 0 0 0 1 +cellular localization cellular c ce cel cell BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 11 9 ..;:-.://././. 14 10 0 0 0 0 1 +170.11.5117-5124.1988 PMID: 170.11.5117-5124.1988 1 17 170 170. BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 11 9 ..-.: 5 3 0 0 0 0 1 +26. Salama 26. 2 26 26. 26. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 10 .,,. 4 9 0 0 0 0 1 +Helicobacter pylori. helicobacter H He Hel Heli BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 11 10 ..;:-.://././...-. 18 10 0 0 0 0 1 +2004 PMID: 2004 2 20 200 2004 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 0 0 0 0 1 0 0 0 11 10 : 1 1 0 0 0 0 1 +27. Boneca 27. 2 27 27. 27. BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 10 .,,,,,-,. 9 10 0 1 0 0 1 +Inducible Systems inducible I In Ind Indu BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 11 10 . 1 9 0 1 0 0 1 +Environ Microbiol. environ E En Env Envi BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 11 10 .;:-.://././.-: 15 9 0 1 0 0 1 +HupA, the hupa, H Hu Hup HupA BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 11 11 ,. 2 10 1 1 0 0 0 +PLOS Pathogens plos P PL PLO PLOS BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 11 11 ://././.., 10 10 0 1 1 0 0 +23 / 23 2 23 23 23 BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 11 11 / 1 1 0 1 0 0 0 +28. Raetz 28. 2 28 28. 28. BLOCKSTART PAGESTART NEWFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 11 0 ..,, 4 10 1 1 0 0 1 +coli. 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[1] [ [1 [1] [1] BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [].....- 8 9 0 1 0 0 1 +port. University port. p po por port BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 ..://....///. 13 9 0 1 0 0 1 +[2] Abbas [2] [ [2 [2] [2] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],,..- 7 9 0 1 0 0 1 +pling: a pling: p pl pli plin BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 :- 2 9 0 1 0 0 1 +named entities named n na nam name BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 .,( 3 9 0 1 0 0 1 +2018), 1965-1978. 2018), 2 20 201 2018 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 0 ),-.://././--- 14 7 0 1 0 0 1 +[3] Iz [3] [ [3 [3] [3] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],,..: 7 9 0 1 0 0 1 +Model for model M Mo Mod Mode BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 .:.[.] 6 6 0 1 0 0 1 +[4] Roi [4] [ [4 [4] [4] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],,..- 7 9 0 1 0 0 1 +Entity Linking entity E En Ent Enti BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 . 1 10 0 1 0 0 1 +on Web on o on on on BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 (,)().,. 8 8 0 1 0 0 1 +[5] C [5] [ [5 [5] [5] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],,,..,- 9 9 0 1 0 0 1 +ing Community: ing i in ing ing BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 0 0 0 0 0 0 10 0 :. 2 8 0 1 0 0 1 +Software 3, software S So Sof Soft BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 ,(),.://././. 13 6 0 1 0 0 1 +[6] Franck [6] [ [6 [6] [6] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],,.[..].: 11 9 0 1 0 0 1 +easy-to-use program easy-to-use e ea eas easy BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 ---. 4 8 0 1 0 0 1 +([n. d.]). ([n. ( ([ ([n ([n. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 ([..]).:.://.//. 16 7 0 1 0 0 1 +[7] Jacob [7] [ [7 [7] [7] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],-,,..: 9 9 0 1 0 0 1 +Pre-training of pre-training P Pr Pre Pre- BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 -. 2 9 0 1 0 0 1 +arXiv:1810.04805 [cs.CL] arxiv:1810.04805 a ar arX arXi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 0 :.[.] 5 2 0 1 0 0 1 +[8] Caifan [8] [ [8 [8] [8] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],,,.. 7 9 0 1 0 0 1 +dataset: A dataset: d da dat data BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 : 1 9 0 1 0 0 1 +publications. 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G Gi Gil Gil. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 ..-: 4 9 0 1 0 0 1 +Software Metadata. software S So Sof Soft BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 .(). 4 9 0 1 0 0 1 +IEEE, San ieee, I IE IEE IEEE BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 ,,,,-.://././.. 15 9 0 1 0 0 1 +[12] Martin [12] [ [1 [12 [12] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],,..[..].: 12 9 0 1 0 0 1 +species name species s sp spe spec BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 .,([..]),. 10 9 0 1 0 0 1 +https://doi.org/10.1186/1471-2105-11-85 https://doi.org/10.1186/1471-2105-11-85 https://doi.org/10.1186/1471-2105-11-85 h ht htt http BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 1 0 0 1 10 0 ://././--- 10 4 0 1 0 0 1 +[13] Maryam [13] [ [1 [13 [13] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 [],,,,. 7 9 0 1 0 0 1 +[n.d.]. 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Their work. w wo wor work BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 .: 2 9 0 0 0 0 1 +between metadata between b be bet betw BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 ? 1 9 0 0 0 0 1 +metadata parameters metadata m me met meta BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 0 ? 1 9 0 0 0 0 1 +work with work w wo wor work BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 --, 3 9 0 0 0 0 1 +since it since s si sin sinc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 -,() 4 9 0 0 0 0 1 +solely based solely s so sol sole BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 . 1 7 0 0 0 0 1 +Table 2 table T Ta Tab Tabl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 0 ., 2 9 0 0 0 0 1 +our features our o ou our our BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 0 -(), 4 10 0 0 0 0 1 +Random Forests. random R Ra Ran Rand BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 0 . 1 1 0 0 0 0 1 +Methods Methods methods M Me Met Meth BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 4 no 0 1 0 0 0 0 1 +Precision Precision precision P Pr Pre Prec BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 4 no 0 2 0 0 0 0 1 +Valenzuela et valenzuela V Va Val Vale BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 4 4 .() 3 5 0 0 0 0 1 +0.65 0.65 0.65 0 0. 0.6 0.65 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 4 . 1 1 0 0 0 0 1 +Qayyum and qayyum Q Qa Qay Qayy BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 4 () 2 5 0 0 0 0 1 +0.72 0.72 0.72 0 0. 0.7 0.72 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 4 . 1 1 0 0 0 0 1 +Nazir, Asif, nazir, N Na Naz Nazi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 4 ,,() 4 6 0 0 0 0 1 +0.75 0.75 0.75 0 0. 0.7 0.75 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 4 . 1 1 0 0 0 0 1 +Nazir, Asif, nazir, N Na Naz Nazi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 4 ,,,,.() 7 10 0 0 0 0 1 +0.85 0.85 0.85 0 0. 0.8 0.85 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 4 . 1 1 0 0 0 0 1 +Current Approach current C Cu Cur Curr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 4 no 0 3 0 0 0 0 1 +0.92 0.92 0.92 0 0. 0.9 0.92 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 4 . 1 1 0 0 0 0 1 +Table 1: table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 5 : 1 10 0 0 0 0 1 +Methods Methods methods M Me Met Meth BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 5 no 0 2 0 1 0 0 1 +Precision Recall precision P Pr Pre Prec BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 5 - 1 10 0 1 0 0 1 +kNN kNN knn k kN kNN kNN BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 5 no 0 1 0 1 0 0 1 +0.80 0.80 0.80 0 0. 0.8 0.80 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.87 0.87 0.87 0 0. 0.8 0.87 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.83 0.83 0.83 0 0. 0.8 0.83 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.81 0.81 0.81 0 0. 0.8 0.81 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +SVM SVM svm S SV SVM SVM BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP NODIGIT 0 1 0 0 0 0 0 0 4 5 no 0 1 0 1 0 0 1 +0.79 0.79 0.79 0 0. 0.7 0.79 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.67 0.67 0.67 0 0. 0.6 0.67 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.73 0.73 0.73 0 0. 0.7 0.73 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.81 0.81 0.81 0 0. 0.8 0.81 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +Decision Tree decision D De Dec Deci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 5 no 0 4 0 1 0 0 1 +0.80 0.80 0.80 0 0. 0.8 0.80 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.82 0.82 0.82 0 0. 0.8 0.82 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.81 0.81 0.81 0 0. 0.8 0.81 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.86 0.86 0.86 0 0. 0.8 0.86 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +Random Forest random R Ra Ran Rand BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 5 no 0 4 0 1 0 0 1 +0.92 0.92 0.92 0 0. 0.9 0.92 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.82 0.82 0.82 0 0. 0.8 0.82 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.87 0.87 0.87 0 0. 0.8 0.87 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +0.90 0.90 0.90 0 0. 0.9 0.90 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 4 5 . 1 1 0 1 0 0 1 +Table 2: table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 6 : 1 10 0 1 0 0 1 +Figure 2 figure F Fi Fig Figu BLOCKSTART PAGEIN SAMEFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 7 .- 2 8 0 1 0 0 1 +ever, our ever, e ev eve ever BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 ,,-,- 5 8 0 1 0 0 1 +tures have tures t tu tur ture BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 7 .-,- 4 8 0 1 0 0 1 +cance would cance c ca can canc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 7 .,, 3 9 0 1 0 0 1 +of concerned of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 ,-, 3 9 0 1 0 0 1 +in-text citation in-text i in in- in-t BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 -,, 3 9 0 1 0 0 1 +classification. 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There paper. p pa pap pape BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 .-,- 4 9 0 1 0 0 1 +per node per p pe per per BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 ,. 2 9 0 1 0 0 1 +In a in I In In In BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 6 0 ,.,, 4 9 0 1 0 0 1 +edge is edge e ed edg edge BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 6 0 , 1 9 0 1 0 0 1 +section. Our section. s se sec sect BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 .;, 3 9 0 1 0 0 1 +further and further f fu fur furt BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 0 . 1 9 0 1 0 0 1 +Algorithm 1: algorithm A Al Alg Algo BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 2 : 1 10 0 1 0 0 1 +Input: Trained input: I In Inp Inpu BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 2 :, 2 10 0 1 0 0 1 +Output: Adjacency output: O Ou Out Outp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 2 : 1 7 0 1 0 0 1 +1 Initialize 1 1 1 1 1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 2 , 1 5 0 1 0 0 1 +2 Initialize 2 2 2 2 2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 2 , 1 5 0 1 0 0 1 +3 Q.add(P 3 3 3 3 3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 2 .() 3 2 0 1 0 0 1 +4 while 4 4 4 4 4 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 2 no 0 4 0 1 0 0 1 +5 5 5 5 5 5 5 BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 3 no 0 10 0 1 0 0 1 +for Each for f fo for for BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 3 ,[] 3 10 0 1 0 0 1 +6 6 6 6 6 6 6 BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 3 no 0 10 0 0 0 0 1 +Extract features extract E Ex Ext Extr BLOCKSTART PAGEIN NEWFONT HIGHERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 6 3 (-) 3 10 0 0 0 0 1 +7 7 7 7 7 7 7 BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 3 no 0 10 0 0 0 0 1 +if C if i if if if BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 6 3 no 0 10 0 0 0 0 1 +8 8 8 8 8 8 8 BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 6 4 no 0 10 0 0 0 0 1 +Q.add(C) Q.add(C) q.add(c) Q Q. 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Socioeconomic 2.2. 2 2. 2.2 2.2. BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 4 .. 2 10 0 0 0 0 1 +The interviews the T Th The The BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 4 ,. 2 9 0 0 0 0 1 +The parents the T Th The The BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 4 : 1 9 0 0 0 0 1 +socioeconomic status, socioeconomic s so soc soci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 ,( 2 8 0 0 0 0 1 +what they what w wh wha what BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 ),, 3 9 0 0 0 0 1 +belonged to belonged b be bel belo BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 ,. 2 7 0 0 0 0 1 +Among the among A Am Amo Amon BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 4 ,', 3 8 0 0 0 0 1 +32 years 32 3 32 32 32 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 1 4 (.).,(.). 9 10 0 0 0 0 1 +Of the of O Of Of Of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 4 ,,, 3 8 0 0 0 0 1 +three had three t th thr thre BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 ., 2 8 0 0 0 0 1 +single-parent families. single-parent s si sin sing BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 -., 3 9 0 0 0 0 1 +nineteen boys nineteen n ni nin nine BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 ;, 2 9 0 0 0 0 1 +of 23.7 of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 ..,, 4 9 0 0 0 0 1 +were looked were w we wer were BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 -,-, 4 9 0 0 0 0 1 +and four and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 4 /. 2 7 0 0 0 0 1 +The characteristics the T Th The The BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 4 . 1 8 0 0 0 0 1 +Table 1. table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 9 .. 2 10 0 0 0 0 1 +Status in status S St Sta Stat BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 9 no 0 10 0 0 0 0 1 +Mothers Mothers mothers M Mo Mot Moth BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 9 no 0 3 0 0 0 0 1 +Fathers Fathers fathers F Fa Fat Fath BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 9 no 0 3 0 0 0 0 1 +Children Involved children C Ch Chi Chil BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 9 no 0 7 0 0 0 0 1 +Population, n population, P Po Pop Popu BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 9 , 1 5 0 0 0 0 1 +28 28 28 2 28 28 28 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 1 9 no 0 1 0 0 0 0 1 +25 25 25 2 25 25 25 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 1 9 no 0 1 0 0 0 0 1 +30 (11 30 3 30 30 30 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 1 9 (,) 3 8 0 0 0 0 1 +Age in age A Ag Age Age BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 9 , 1 10 0 0 0 0 1 +<6 months <6 < <6 <6 <6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 no 0 3 0 0 0 0 1 +6-11 months 6-11 6 6- 6-1 6-11 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 4 0 0 0 0 1 +12-18 months 12-18 1 12 12- 12-1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 5 0 0 0 0 1 +19-24 months 19-24 1 19 19- 19-2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 5 0 0 0 0 1 +25-30 months 25-30 2 25 25- 25-3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 5 0 0 0 0 1 +31-36 months 31-36 3 31 31- 31-3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 5 0 0 0 0 1 +24-29 years 24-29 2 24 24- 24-2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 6 0 0 0 0 1 +30-35 years 30-35 3 30 30- 30-3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 6 0 0 0 0 1 +36-40 years 36-40 3 36 36- 36-4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 6 0 0 0 0 1 +41-49 years 41-49 4 41 41- 41-4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 9 - 1 6 0 0 0 0 1 +Unknown Unknown unknown U Un Unk Unkn BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 9 no 0 3 0 0 0 0 1 +8 8 8 8 8 8 8 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 6 0 0 0 0 1 +12 12 12 1 12 12 12 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 1 10 no 0 10 0 0 0 0 1 +5 5 5 5 5 5 5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 6 0 0 0 0 1 +2 2 2 2 2 2 2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 6 0 0 0 0 1 +1 1 1 1 1 1 1 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 6 0 0 0 0 1 +6 6 6 6 6 6 6 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 2 0 0 0 0 1 +(7 + (7 ( (7 (7 (7 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 10 (*) 3 10 0 0 0 0 1 +6 6 6 6 6 6 6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 2 0 0 0 0 1 +6 6 6 6 6 6 6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 2 0 0 0 0 1 +2 2 2 2 2 2 2 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 2 0 0 0 0 1 +1 1 1 1 1 1 1 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 10 0 0 0 0 1 +4 4 4 4 4 4 4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 10 0 0 0 0 1 +6 6 6 6 6 6 6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 10 0 0 0 0 1 +4 4 4 4 4 4 4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 10 0 0 0 0 1 +7 7 7 7 7 7 7 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 10 0 0 0 0 1 +8 8 8 8 8 8 8 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 10 0 0 0 0 1 +Socioeconomic status, socioeconomic S So Soc Soci BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 10 , 1 8 0 1 0 0 1 +High High high H Hi Hig High BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 1 10 no 0 1 0 1 0 0 1 +8 8 8 8 8 8 8 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 0 0 1 0 0 1 +Middle class middle M Mi Mid Midd BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 10 no 0 4 0 1 0 0 1 +9 9 9 9 9 9 9 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 0 0 1 0 0 1 +Working class working W Wo Wor Work BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 10 no 0 4 0 1 0 0 1 +4 4 4 4 4 4 4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 0 0 1 0 0 1 +Downgraded Downgraded downgraded D Do Dow Down BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 10 no 0 3 0 1 0 0 1 +4 4 4 4 4 4 4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 0 0 1 0 0 1 +Poverty Poverty poverty P Po Pov Pove BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 10 no 0 2 0 1 0 0 1 +3 3 3 3 3 3 3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 10 no 0 0 0 1 0 0 1 +Childbirth, n childbirth, C Ch Chi Chil BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 10 , 1 4 0 1 0 0 1 +Primiparous Primiparous primiparous P Pr Pri Prim BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 10 no 0 4 0 1 0 0 1 +16 16 16 1 16 16 16 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 1 10 no 0 1 0 1 0 0 1 +Multiparous (including multiparous M Mu Mul Mult BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 10 () 2 10 0 1 0 0 1 +12 12 12 1 12 12 12 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 1 10 no 0 1 0 1 0 0 1 +* Information * * * * * BLOCKSTART PAGEIN NEWFONT HIGHERFONT 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 1 11 *, 2 10 0 1 0 0 1 +other weekend. other o ot oth othe BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 11 . 1 1 0 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 0 ..,, 4 10 0 1 0 0 1 +5 of 5 5 5 5 5 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 0 no 0 10 0 1 0 0 1 +2.3. Ethical 2.3. 2 2. 2.3 2.3. BLOCKSTART PAGEIN NEWFONT HIGHERFONT 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 0 .. 2 10 0 1 0 0 1 +The qualitative the T Th The The BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 0 (•:-- 5 9 0 1 0 0 1 +09-24-180, Université 09-24-180, 0 09 09- 09-2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 0 --,#). 6 9 0 1 0 0 1 +the CNIL the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 •. 2 9 0 1 0 0 1 +respondents and respondents r re res resp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 . 1 10 0 1 0 0 1 +All interviews all A Al All All BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 0 no 0 9 0 1 0 0 1 +interviewed. Finally, interviewed. i in int inte BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 .,. 3 7 0 1 0 0 1 +2.4. Qualitative 2.4. 2 2. 2.4 2.4. 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BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 1 8 .. 2 10 0 0 0 0 1 +A methodological a A A A A BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 1 0 0 0 0 0 1 8 , 1 8 0 0 0 0 1 +contacts and contacts c co con cont BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 ., 2 9 0 0 0 0 1 +gender order gender g ge gen gend BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 (). 3 10 0 0 0 0 1 +was also was w wa was was BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 ,- 2 9 0 0 0 0 1 +cioeconomic variables. cioeconomic c ci cio cioe BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 8 .,- 3 9 0 0 0 0 1 +with lexicometric with w wi wit with BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 (. 2 9 0 0 0 0 1 +alpha 2, alpha a al alp alph BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 1 8 ,-,-, 5 8 0 0 0 0 1 +University of university U Un Uni Univ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 8 ,)., 4 10 0 0 0 0 1 +speeches by speeches s sp spe spee BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 . 1 9 0 0 0 0 1 +are significantly are a ar are are BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 ().- 4 9 0 0 0 0 1 +ever, it ever, e ev eve ever BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 , 1 9 0 0 0 0 1 +"lexical worlds" "lexical " "l "le "lex BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 8 ""(). 5 9 0 0 0 0 1 +in this in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 1 8 () 2 9 0 0 0 0 1 +segmentation into segmentation s se seg segm BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 8 (). 3 9 0 0 0 0 1 +This method this T Th Thi This BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 8 . 1 9 0 0 0 0 1 +is therefore is i is is is BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 8 (.., 4 9 0 0 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 1 0 ..,, 4 10 0 1 0 0 1 +6 of 6 6 6 6 6 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 1 0 no 0 10 0 1 0 0 1 +words) grouped words) w wo wor word BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 ).- 3 9 1 0 0 0 1 +icon which icon i ic ico icon BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 ,- 2 9 1 0 0 0 1 +on the on o on on on BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 ., 2 10 1 0 0 0 1 +the statistical the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 (). 3 9 1 0 0 0 1 +factorial analysis factorial f fa fac fact BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 1 0 . 1 9 1 0 0 0 1 +This supports this T Th Thi This BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 1 0 . 1 9 1 0 0 0 1 +different lexical different d di dif diff BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 no 0 9 1 0 0 0 1 +qualitative content qualitative q qu qua qual BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 ; 1 9 1 0 0 0 1 +or discuss or o or or or BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 (). 3 9 1 0 0 0 1 +in the in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 1 0 - 1 9 1 0 0 0 1 +discourses classes discourses d di dis disc BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 1 0 . 1 5 1 0 0 0 1 +oc. Sci. oc. o oc oc. oc. 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BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 0 ..,, 4 10 1 1 0 0 1 +15 of 15 1 15 15 15 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 4 0 no 0 2 1 1 0 0 1 +Figure 3. figure F Fi Fig Figu BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 0 .--. 4 10 1 0 0 0 1 +Figure 4. figure F Fi Fig Figu BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 0 .--. 4 10 1 1 0 0 1 +The staturo-ponderal the T Th The The BLOCKSTART PAGEIN NEWFONT HIGHERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 1 - 1 9 1 1 0 0 1 +amount of amount a am amo amou BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 1 ,(.). 5 9 1 1 0 0 1 +rely on rely r re rel rely BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 1 '-,- 4 9 1 1 0 0 1 +ical consultations, ical i ic ica ical BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 1 ,-.- 4 9 1 1 0 0 1 +growth is growth g gr gro grow BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 1 - 1 9 1 1 0 0 1 +the family, the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 1 ,, 2 10 1 1 0 0 1 +on a on o on on on BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 1 .,'- 4 9 1 1 0 0 1 +Figure 3. figure F Fi Fig Figu BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 3 .--. 4 10 1 0 0 0 1 +Soc. 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BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 4 4 ..,, 4 10 1 1 0 0 1 +15 of 15 1 15 15 15 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 4 4 no 0 2 1 1 0 0 1 +Figure 3. figure F Fi Fig Figu BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 4 .--. 4 10 1 0 0 0 1 +Figure 4. figure F Fi Fig Figu BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 4 .--. 4 10 1 1 0 0 1 +The staturo-ponderal the T Th The The BLOCKSTART PAGEIN NEWFONT HIGHERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 4 - 1 9 1 1 0 0 1 +amount of amount a am amo amou BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 4 ,(.). 5 9 1 1 0 0 1 +rely on rely r re rel rely BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 4 '-,- 4 9 1 1 0 0 1 +ical consultations, ical i ic ica ical BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 4 ,-.- 4 9 1 1 0 0 1 +growth is growth g gr gro grow BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 4 - 1 9 1 1 0 0 1 +the family, the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 4 ,, 2 10 1 1 0 0 1 +on a on o on on on BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 4 .,'- 4 9 1 1 0 0 1 +Figure 4. figure F Fi Fig Figu BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 7 .--. 4 10 1 1 0 0 1 +The staturo-ponderal the T Th The The BLOCKSTART PAGEIN NEWFONT HIGHERFONT 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 4 7 - 1 8 1 1 0 0 1 +amount of amount a am amo amou BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 ,(.). 5 9 1 1 0 0 1 +also rely also a al als also BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 '-, 3 9 1 1 0 0 1 +medical consultations, medical m me med medi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 ,-.- 4 9 1 1 0 0 1 +growth is growth g gr gro grow BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 - 1 9 1 1 0 0 1 +the family, the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 ,, 2 10 1 1 0 0 1 +a wider a a a a a BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 1 0 0 0 0 0 4 7 .,' 3 9 1 1 0 0 1 +and the and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 '. 2 9 1 1 0 0 1 +somatic cultures. somatic s so som soma BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 4 7 . 1 9 1 1 0 0 1 +is given is i is is is BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 4 7 (.). 4 9 1 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. 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[Mother, everything". e ev eve ever BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 0 ".[,,----]. 11 9 0 1 0 0 1 +Interview 2: interview I In Int Inte BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 1 :".,. 5 9 0 0 0 0 1 +I pretty i I I I I BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 7 1 .,, 3 9 0 0 0 0 1 +full, you full, f fu ful full BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 1 ,...,','' 9 10 0 0 0 0 1 +a small a a a a a BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 1 0 0 0 0 0 7 1 ',','".[, 9 9 0 0 0 0 1 +social position, social s so soc soci BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 1 ,----]. 7 6 0 0 0 0 1 +This was this T Th Thi This BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 3 - 1 8 0 0 0 0 1 +ents comprising ents e en ent ents BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 ,. 2 9 0 0 0 0 1 +Since "food since S Si Sin Sinc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 3 "",, 4 9 0 0 0 0 1 +it operates it i it it it BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,,- 3 9 0 0 0 0 1 +sciously or sciously s sc sci scio BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 ., 2 9 0 0 0 0 1 +renewed decision renewed r re ren rene BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 , 1 8 0 0 0 0 1 +intakes, modifying intakes, i in int inta BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,.- 3 9 0 0 0 0 1 +tinization ultimately tinization t ti tin tini BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 ,/ 2 9 0 0 0 0 1 +child prefers, child c ch chi chil BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 7 3 ,. 2 9 0 0 0 0 1 +Change, on change, C Ch Cha Chan BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 3 ,, 2 9 0 0 0 0 1 +fatigue, without fatigue, f fa fat fati BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,. 2 8 0 0 0 0 1 +food management, food f fo foo food BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,-, 3 8 0 0 0 0 1 +quantity offered quantity q qu qua quan BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 . 1 3 0 0 0 0 1 +Even when even E Ev Eve Even BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 3 ,' 2 9 0 0 0 0 1 +because they because b be bec beca BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,,, 3 9 0 0 0 0 1 +also as also a al als also BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,,, 3 9 0 0 0 0 1 +the integration the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ' 1 9 0 0 0 0 1 +to ensure to t to to to BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 , 1 9 0 0 0 0 1 +the caregivers. the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 . 1 8 0 0 0 0 1 +consumptions, which consumptions, c co con cons BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 ,(- 3 8 0 0 0 0 1 +2017). This 2017). 2 20 201 2017 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 7 3 ). 2 8 0 0 0 0 1 +first born first f fi fir firs BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ., 2 10 0 0 0 0 1 +the child the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 (.;. 4 9 0 0 0 0 1 +2018, 2019; 2018, 2 20 201 2018 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 7 3 ,;.). 5 9 0 0 0 0 1 +to for to t to to to BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 . 1 9 0 0 0 0 1 +daily socialization, daily d da dai dail BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 7 3 ,, 2 9 0 0 0 0 1 +impact on impact i im imp impa BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,,,, 4 9 0 0 0 0 1 +to meet to t to to to BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 , 1 9 0 0 0 0 1 +composition, quantities, composition, c co com comp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,,. 3 9 0 0 0 0 1 +siblings (as, siblings s si sib sibl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 (,,- 4 9 0 0 0 0 1 +qualitative survey). qualitative q qu qua qual BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ). 2 2 0 0 0 0 1 +Moreover, as moreover, M Mo Mor More BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 3 ,(;.),- 7 8 0 0 0 0 1 +ported routines-that ported p po por port BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 -,- 3 9 0 0 0 0 1 +from what from f fr fro from BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,..,. 5 9 0 0 0 0 1 +This research this T Th Thi This BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 3 ,, 2 8 0 0 0 0 1 +of the of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,.- 3 9 0 0 0 0 1 +texts can texts t te tex text BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 no 0 9 0 0 0 0 1 +and how and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ( 1 8 0 0 0 0 1 +Tibère 2008; tibère T Ti Tib Tibè BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 7 3 ;;). 4 8 0 0 0 0 1 +socialization. Their socialization. s so soc soci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 .. 2 9 0 0 0 0 1 +this sense, this t th thi this BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,' 2 9 0 0 0 0 1 +satiety, and, satiety, s sa sat sati BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 ,,,, 4 9 0 0 0 0 1 +of normative of o of of of BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 . 1 8 0 0 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 7 0 ..,, 4 10 0 0 0 0 1 +23 of 23 2 23 23 23 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 7 0 no 0 10 0 0 0 0 1 +mother during mother m mo mot moth BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 0 , 1 9 0 0 0 0 1 +of eating of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 0 . 1 10 0 0 0 0 1 +her 18-month-old her h he her her BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 0 --, 3 9 0 0 0 0 1 +anything other anything a an any anyt BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 0 . 1 3 0 0 0 0 1 +"So this "so " "S "So "So BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 0 "!, 3 9 1 0 0 0 1 +for 6 for f fo for for BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 0 ,;, 3 9 1 0 0 0 1 +Blédichef, but blédichef, B Bl Blé Bléd BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 7 0 ,,',. 5 10 1 0 0 0 1 +ended up ended e en end ende BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 0 .,, 3 9 1 0 0 0 1 +a Babybio, a a a a a BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 1 0 0 0 0 0 7 0 ,,., 4 9 1 0 0 0 1 +I brought i I I I I BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 1 0 0 0 0 0 0 0 7 0 ','... 6 9 1 0 0 0 1 +But since but B Bu But But BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 0 ',",".[' 8 9 1 0 0 0 1 +diaper] And diaper] d di dia diap BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 0 ]',' 4 9 1 0 0 0 1 +believe how believe b be bel beli BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 0 ...? 4 9 1 0 0 0 1 +brown, but brown, b br bro brow BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 0 ,,.',".[, 9 9 1 0 0 0 1 +downgraded social downgraded d do dow down BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 0 ,--]. 5 5 1 0 0 0 1 +Picture 6: picture P Pi Pic Pict BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 7 2 :,:"",, 7 10 1 0 0 0 1 +quiche/cucumber like quiche/cucumber q qu qui quic BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 2 /,., 4 10 1 0 0 0 1 +bottle offered bottle b bo bot bott BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 2 . 1 2 1 0 0 0 1 +can also can c ca can can BLOCKSTART PAGEIN NEWFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 no 0 9 0 0 0 0 1 +how much how h ho how how BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ( 1 9 0 0 0 0 1 +2008; Dupuy 2008; 2 20 200 2008 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 7 3 ;;).- 5 9 0 0 0 0 1 +tion. Their tion. t ti tio tion BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 .. 2 9 0 0 0 0 1 +sense, contextual sense, s se sen sens BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 ,'- 3 9 0 0 0 0 1 +tiety, and, tiety, t ti tie tiet BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 ,,,, 4 10 0 0 0 0 1 +normative distancing normative n no nor norm BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 7 3 . 1 9 0 0 0 0 1 +mother during mother m mo mot moth BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 , 1 9 0 0 0 0 1 +of eating of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 . 1 9 0 0 0 0 1 +her 18-month-old her h he her her BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 --, 3 9 0 0 0 0 1 +anything other anything a an any anyt BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 7 3 . 1 3 0 0 0 0 1 +"So this "so " "S "So "So BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 "!, 3 9 1 0 0 0 1 +6 months 6 6 6 6 6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 8 5 ,;, 3 8 1 0 0 0 1 +Blédichef, but blédichef, B Bl Blé Bléd BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 5 ,,',. 5 10 1 0 0 0 1 +ended up ended e en end ende BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 .,, 3 9 1 0 0 0 1 +a Babybio, a a a a a BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 1 0 1 0 0 0 0 0 8 5 ,,., 4 9 1 0 0 0 1 +brought out brought b br bro brou BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 ','... 6 9 1 0 0 0 1 +since I'm since s si sin sinc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 ',",".['- 9 9 1 0 0 0 1 +per] And per] p pe per per] BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 ]','- 5 9 1 0 0 0 1 +lieve how lieve l li lie liev BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 ...? 4 9 1 0 0 0 1 +brown, but brown, b br bro brow BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 ,,.',".[, 9 9 1 0 0 0 1 +downgraded social downgraded d do dow down BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 ,--] 4 5 1 0 0 0 1 +Picture 6: picture P Pi Pic Pict BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 7 :,:"",, 7 10 1 0 0 0 1 +quiche/cucumber like quiche/cucumber q qu qui quic BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 7 /,., 4 10 1 0 0 0 1 +bottle offered bottle b bo bot bott BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 . 1 2 1 0 0 0 1 +Pictures 7 pictures P Pi Pic Pict BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 7 :,::,. 6 10 1 0 0 0 1 +a chunk a a a a a BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 1 0 1 0 0 0 0 0 8 7 .. 2 8 1 0 0 0 1 +Pictures 7 pictures P Pi Pic Pict BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 7 :,::,. 6 10 1 0 0 0 1 +a chunk a a a a a BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 1 0 1 0 0 0 0 0 8 7 .. 2 8 1 0 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 1 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 8 ..,, 4 10 1 0 0 0 1 +25 of 25 2 25 25 25 BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 1 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 8 8 no 0 2 1 0 0 0 1 +4. Discussion 4. 4 4. 4. 4. BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 8 8 . 1 10 1 1 0 0 1 +Although the although A Al Alt Alth BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 8 no 0 9 1 1 0 0 1 +them, they them, t th the them BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 8 ,- 2 9 1 1 0 0 1 +tirety of tirety t ti tir tire BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 8 , 1 9 1 1 0 0 1 +are based are a ar are are BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 8 . 1 9 1 1 0 0 1 +child's appetite child's c ch chi chil BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 8 ', 2 9 1 1 0 0 1 +norms; these norms; n no nor norm BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 8 ;.- 3 9 1 1 0 0 1 +ical universes ical i ic ica ical BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 8 no 0 9 1 1 0 0 1 +socialization of socialization s so soc soci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 8 , 1 9 1 1 0 0 1 +by setting by b by by by BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 8 ,(/- 4 10 1 1 0 0 1 +uid) as uid) u ui uid uid) BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 8 )(//, 5 9 1 1 0 0 1 +and snacks, and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 8 ,.),, 5 9 1 1 0 0 1 +consumption, in consumption, c co con cons BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 8 ,. 2 4 1 1 0 0 1 +4. Discussion 4. 4 4. 4. 4. BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 8 10 . 1 10 1 1 0 0 1 +Although the although A Al Alt Alth BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 10 no 0 9 1 1 0 0 1 +them, they them, t th the them BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 10 , 1 9 1 1 0 0 1 +entirety of entirety e en ent enti BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 10 , 1 10 1 1 0 0 1 +are based are a ar are are BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 10 . 1 9 1 1 0 0 1 +child's appetite child's c ch chi chil BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 10 ', 2 9 1 1 0 0 1 +norms; these norms; n no nor norm BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 10 ;. 2 9 1 1 0 0 1 +lexical universes lexical l le lex lexi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 10 no 0 9 1 1 0 0 1 +the socialization the t th the the BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 10 , 1 9 1 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 0 ..,, 4 10 0 1 0 0 1 +24 of 24 2 24 24 24 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 8 0 no 0 10 0 1 0 0 1 +intake by intake i in int inta BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +(solid/liquid) as (solid/liquid) ( (s (so (sol BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 (/)(//, 7 9 0 1 0 0 1 +drinks and drinks d dr dri drin BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,.),, 5 9 0 1 0 0 1 +of consumption, of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,. 2 4 0 1 0 0 1 +Among parents, among A Am Amo Amon BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 0 ,, 2 8 0 1 0 0 1 +child care child c ch chi chil BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 8 0 ,,, 3 9 0 1 0 0 1 +in particular, in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 8 0 ,, 2 9 0 1 0 0 1 +at meals, at a at at at BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,, 2 9 0 1 0 0 1 +rely to rely r re rel rely BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 . 1 9 0 1 0 0 1 +reflect their reflect r re ref refl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,. 2 9 0 1 0 0 1 +Class 5, class C Cl Cla Clas BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 0 ,,.., 5 9 0 1 0 0 1 +manners and manners m ma man mann BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 8 0 ,,, 3 8 0 1 0 0 1 +to the to t to to to BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +by medical, by b by by by BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,., 3 9 0 1 0 0 1 +expressed in expressed e ex exp expr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 8 0 1 0 0 1 +are the are a ar are are BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ; 1 9 0 1 0 0 1 +according to according a ac acc acco BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ., 2 9 0 1 0 0 1 +social backgrounds social s so soc soci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 8 0 1 0 0 1 +(Gojard 2000; (gojard ( (G (Go (Goj BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 (;;). 5 5 0 1 0 0 1 +These elements these T Th The Thes BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 8 0 1 0 0 1 +the perceptions the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +norms are norms n no nor norm BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,, 2 9 0 1 0 0 1 +their satiety their t th the thei BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 . 1 9 0 1 0 0 1 +social system social s so soc soci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 :' 2 10 0 1 0 0 1 +growth and growth g gr gro grow BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,; 2 9 0 1 0 0 1 +is focused is i is is is BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,; 2 9 0 1 0 0 1 +and finally, and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,, 2 9 0 1 0 0 1 +established, particularly established, e es est esta BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,, 2 9 0 1 0 0 1 +normative compliance normative n no nor norm BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 . 1 6 0 1 0 0 1 +At first at A At At At BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 0 ,-- 3 8 0 1 0 0 1 +children-regarding socialization children-regarding c ch chi chil BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 -,,.- 5 8 0 1 0 0 1 +ological sensations, ological o ol olo olog BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 ,, 2 9 0 1 0 0 1 +on preschool on o on on on BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 8 0 1 0 0 1 +food. This food. f fo foo food BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 .,, 3 9 0 1 0 0 1 +and satiation and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 9 0 1 0 0 1 +respect of respect r re res resp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 . 1 9 0 1 0 0 1 +the recommendations the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +are adapted are a ar are are BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 "' 2 9 0 1 0 0 1 +enfance (de enfance e en enf enfa BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 ()", 4 9 0 1 0 0 1 +at the at a at at at BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ... 3 9 0 1 0 0 1 +the structure the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ., 2 9 0 1 0 0 1 +to a to t to to to BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,'. 3 9 0 1 0 0 1 +changes according changes c ch cha chan BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 8 0 ',, 3 9 0 1 0 0 1 +distancing or distancing d di dis dist BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +studies (Gojard studies s st stu stud BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 (;;). 5 9 0 1 0 0 1 +experience, like experience, e ex exp expe BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,, 2 9 0 1 0 0 1 +or the or o or or or BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 9 0 1 0 0 1 +delegation (Dupuy delegation d de del dele BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 (.).' 5 9 0 1 0 0 1 +survey relating survey s su sur surv BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 8 0 1 0 0 1 +relation to relation r re rel rela BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ()., 4 9 0 1 0 0 1 +the normative the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +practices, especially practices, p pr pra prac BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,,""() 6 9 0 1 0 0 1 +that is that t th tha that BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 0 ..,, 4 10 0 1 0 0 1 +25 of 25 2 25 25 25 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 8 0 no 0 10 0 1 0 0 1 +these norms these t th the thes BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 9 0 1 0 0 1 +certain social certain c ce cer cert BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 (,). 4 8 0 1 0 0 1 +As scientific as A As As As BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +to describe to t to to to BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 "" 2 9 0 1 0 0 1 +health and health h he hea heal BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 8 0 -."", 5 9 0 1 0 0 1 +vertical relationship vertical v ve ver vert BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +of the of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ',. 3 9 0 1 0 0 1 +disseminated by disseminated d di dis diss BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,. 2 9 0 1 0 0 1 +be to be b be be be BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 9 0 1 0 0 1 +recommendations, which recommendations, r re rec reco BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,., 3 9 0 1 0 0 1 +regard for regard r re reg rega BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 10 0 1 0 0 1 +degrees of degrees d de deg degr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,. 2 9 0 1 0 0 1 +between medical between b be bet betw BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +the angle the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +policies have policies p po pol poli BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 10 0 1 0 0 1 +cultural and cultural c cu cul cult BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 . 1 3 0 1 0 0 1 +5. Limitations 5. 5 5. 5. 5. BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 8 3 . 1 10 0 0 0 0 1 +The dynamics the T Th The The BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 3 '- 2 9 0 0 0 0 1 +served in served s se ser serv BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 3 .,- 3 9 0 0 0 0 1 +searchers to searchers s se sea sear BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 3 ', 2 10 0 0 0 0 1 +social age, social s so soc soci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 3 ,. 2 5 0 0 0 0 1 +However, the however, H Ho How Howe BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 3 , 1 8 0 0 0 0 1 +reduces the reduces r re red redu BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 3 no 0 9 0 0 0 0 1 +deviations between deviations d de dev devi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 3 ,, 2 9 0 0 0 0 1 +routines, on routines, r ro rou rout BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 3 ,,: 3 7 0 0 0 0 1 +"Now it's "now " "N "No "Now BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 5 "',, 4 9 0 0 0 0 1 +him a him h hi him him BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 . 1 9 0 0 0 0 1 +and he and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 "',' 4 9 0 0 0 0 1 +really small really r re rea real BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 ,,'", 5 9 0 0 0 0 1 +mean it's mean m me mea mean BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 '.[...]', 9 10 0 0 0 0 1 +sometimes I sometimes s so som some BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 5 .'..." 6 8 0 0 0 0 1 +[Mother, high [mother, [ [M [Mo [Mot BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 7 [,,]. 5 10 0 0 0 0 1 +Additionally, this additionally, A Ad Add Addi BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 7 , 1 8 0 0 0 0 1 +reflexivity made reflexivity r re ref refl BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 7 ,, 2 9 0 0 0 0 1 +derogation linked derogation d de der dero BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 . 1 8 0 0 0 0 1 +This study this T Th Thi This BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 7 no 0 8 0 0 0 0 1 +as "typical" as a as as as BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 "". 3 9 0 0 0 0 1 +pathologies or pathologies p pa pat path BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 7 no 0 9 0 0 0 0 1 +of child of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 (,',- 5 9 0 0 0 0 1 +gastric intubation, gastric g ga gas gast BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 ,, 2 9 0 0 0 0 1 +birth), it birth), b bi bir birt BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 7 ), 2 9 0 0 0 0 1 +not presenting not n no not not BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 . 1 9 0 0 0 0 1 +this population. this t th thi this BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 ., 2 9 0 0 0 0 1 +feeding practices feeding f fe fee feed BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 (.., 4 10 0 0 0 0 1 +the case the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 ; 1 9 0 0 0 0 1 +ensure growth ensure e en ens ensu BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 7 ). 2 2 0 0 0 0 1 +6. Conclusions 6. 6 6. 6. 6. BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 8 10 . 1 10 0 0 0 0 1 +This article this T Th Thi This BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 10 - 1 9 0 0 0 0 1 +tion of tion t ti tio tion BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 10 ,,. 3 10 0 0 0 0 1 +It highlights it I It It It BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 10 , 1 9 0 0 0 0 1 +France rely france F Fr Fra Fran BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 8 10 no 0 9 0 0 0 0 1 +to supervise to t to to to BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 10 . 1 9 0 0 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 8 0 ..,, 4 10 0 1 0 0 1 +26 of 26 2 26 26 26 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 8 0 no 0 10 0 1 0 0 1 +day-to-day "food day-to-day d da day day- BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 --"",,, 7 9 0 1 0 0 1 +food, inhibits food, f fo foo food BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 8 0 1 0 0 1 +and thus and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,, 2 8 0 1 0 0 1 +household and household h ho hou hous BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ., 2 9 0 1 0 0 1 +top-down education-from top-down t to top top- BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ---., 5 8 0 1 0 0 1 +article relates article a ar art arti BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 "" 2 9 0 1 0 0 1 +maintain young maintain m ma mai main BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 - 1 9 0 1 0 0 1 +with scientific with w wi wit with BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ., 2 10 0 1 0 0 1 +of these of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 9 0 1 0 0 1 +behaviors considered behaviors b be beh beha BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 -., 3 8 0 1 0 0 1 +which nutritional which w wh whi whic BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 9 0 1 0 0 1 +the standards the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 . 1 9 0 1 0 0 1 +numerous normative numerous n nu num nume BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 8 0 1 0 0 1 +be counterproductive. be b be be be BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ." 2 9 0 1 0 0 1 +determinism" (Furedi determinism" d de det dete BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 8 0 "(). 4 8 0 1 0 0 1 +On the on O On On On BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 8 0 1 0 0 1 +between the between b be bet betw BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 -,- 3 8 0 1 0 0 1 +food, as food, f fo foo food BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,-. 3 9 0 1 0 0 1 +socialization unfolds socialization s so soc soci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 8 0 1 0 0 1 +also in also a al als also BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 no 0 8 0 1 0 0 1 +and educational and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,,- 3 8 0 1 0 0 1 +emitted by emitted e em emi emit BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 8 0 1 0 0 1 +daily environment, daily d da dai dail BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 8 0 ,. 2 9 0 1 0 0 1 +respect, work respect, r re res resp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 , 1 8 0 1 0 0 1 +understanding of understanding u un und unde BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 ,, 2 9 0 1 0 0 1 +and the and a an and and BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 8 0 . 1 4 0 1 0 0 1 +Author Contributions: author A Au Aut Auth BLOCKSTART PAGEIN NEWFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 6 :..,, 5 9 0 0 0 0 1 +and drafted and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 6 ,... 4 8 0 0 0 0 1 +research. S.G. research. r re res rese BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 6 ......,..... 12 10 0 0 0 0 1 +All authors all A Al All All BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 6 . 1 8 0 0 0 0 1 +Funding: This funding: F Fu Fun Fund BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 :.-- 4 8 0 0 0 0 1 +CE21-0014, PUNCH, ce21-0014, C CE CE2 CE21 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 7 -,,. 4 8 0 0 0 0 1 +wish to wish w wi wis wish BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 7 ,-, 3 8 0 0 0 0 1 +research. We research. r re res rese BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 7 .,, 3 8 0 0 0 0 1 +Courant and courant C Co Cou Cour BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 7 no 0 8 0 0 0 0 1 +management of management m ma man mana BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 9 7 ..- 3 8 0 0 0 0 1 +Vilain for vilain V Vi Vil Vila BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 7 .,,- 4 10 0 0 0 0 1 +Pierre Poulain, pierre P Pi Pie Pier BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 9 7 ,,,, 4 9 0 0 0 0 1 +of our of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 7 ., 2 9 0 0 0 0 1 +and approved and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 7 #( 2 9 0 0 0 0 1 +approval N°: approval a ap app appr BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 7 :----,//). 10 4 0 0 0 0 1 +Informed Consent informed I In Inf Info BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 10 : 1 10 0 0 0 0 1 +study. study. study. s st stu stud BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 10 . 1 0 0 0 0 0 1 +Conflicts of conflicts C Co Con Conf BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 11 :.() 4 9 0 0 0 0 1 +no role no n no no no BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 11 ;,,; 4 10 0 0 0 0 1 +of the of o of of of BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 11 ;. 2 5 0 0 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 0 ..,, 4 10 0 1 0 0 1 +27 of 27 2 27 27 27 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 0 no 0 10 0 1 0 0 1 +Appendix A appendix A Ap App Appe BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 10 0 1 0 0 1 +Table A1. table T Ta Tab Tabl BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 .. 2 10 0 1 0 0 1 +Parents Parents parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 10 0 1 0 0 1 +Topics Topics topics T To Top Topi BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 7 0 1 0 0 1 +Subtopics Subtopics subtopics S Su Sub Subt BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 0 no 0 10 0 1 0 0 1 +Information about information I In Inf Info BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 9 0 0 0 0 1 +and his/her and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 / 1 5 0 0 0 0 1 +Family situation family F Fa Fam Fami BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 10 0 0 0 0 1 +Food at food F Fo Foo Food BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 3 0 0 0 0 1 +Provisioning, including provisioning, P Pr Pro Prov BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 0 , 1 10 0 0 0 0 1 +Meal preparation, meal M Me Mea Meal BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 1 , 1 10 0 0 0 0 1 +Preparation of preparation P Pr Pre Prep BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 1 ':,, 4 8 0 0 0 0 1 +recommendations and recommendations r re rec reco BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 1 no 0 10 0 0 0 0 1 +expressed by expressed e ex exp expr BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 1 no 0 4 0 0 0 0 1 +Child's relationship child's C Ch Chi Chil BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 1 ' 1 5 0 0 0 0 1 +How does how H Ho How How BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 1 ? 1 10 0 0 0 0 1 +satiated? How satiated? s sa sat sati BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 1 ?' 2 8 0 0 0 0 1 +Child's nutrition child's C Ch Chi Chil BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 2 ' 1 7 0 0 0 0 1 +arrangements arrangements arrangements a ar arr arra BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 3 0 0 0 0 1 +Educational delegation educational E Ed Edu Educ BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 10 0 0 0 0 1 +Dietary adjustments dietary D Di Die Diet BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 10 0 0 0 0 1 +the child's the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 2 ' 1 9 0 0 0 0 1 +Evolution of evolution E Ev Evo Evol BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 6 0 0 0 0 1 +Relationship to relationship R Re Rel Rela BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 10 0 0 0 0 1 +Before diversification before B Be Bef Befo BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 6 0 0 0 0 1 +Breast-feeding methods breast-feeding B Br Bre Brea BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 - 1 10 0 0 0 0 1 +Educational styles educational E Ed Edu Educ BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 9 0 0 0 0 1 +Transmission issues transmission T Tr Tra Tran BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 10 0 0 0 0 1 +Differences between differences D Di Dif Diff BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 10 0 0 0 0 1 +Photo protocol photo P Ph Pho Phot BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 10 0 0 0 0 1 +Meals and meals M Me Mea Meal BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 9 0 0 0 0 1 +situations (e.g., situations s si sit situ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 (..,,, 6 10 0 0 0 0 1 +the child the t th the the BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 ,) 2 6 0 0 0 0 1 +Second interview second S Se Sec Seco BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 4 no 0 2 0 1 0 0 1 +Link with link L Li Lin Link BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 9 4 :, 2 10 0 1 0 0 1 +to be to t to to to BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 4 no 0 6 0 1 0 0 1 +Forgotten questions, forgotten F Fo For Forg BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 4 ,-, 3 10 0 1 0 0 1 +paradoxes identified paradoxes p pa par para BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 4 no 0 8 0 1 0 0 1 +Description about description D De Des Desc BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 5 (, 2 9 0 1 0 0 1 +selection, quantities selection, s se sel sele BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 ,) 2 10 0 1 0 0 1 +Appendix B. appendix A Ap App Appe BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 5 . 1 10 0 1 0 0 1 +To constitute to T To To To BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 5 ,,: 3 8 0 1 0 0 1 +here, each here, h he her here BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 , 1 9 0 1 0 0 1 +associated. These associated. a as ass asso BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 . 1 8 0 1 0 0 1 +the classes the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 . 1 9 0 1 0 0 1 +top-down classification top-down t to top top- BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 - 1 9 0 1 0 0 1 +distinct from distinct d di dis dist BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 .,- 3 9 0 1 0 0 1 +is conducted is i is is is BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 ,, 2 9 0 1 0 0 1 +and to and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 no 0 9 0 1 0 0 1 +discourse. In discourse. d di dis disc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 ., 2 9 0 1 0 0 1 +understand the understand u un und unde BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 ,. 2 8 0 1 0 0 1 +The results the T Th The The BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 5 ()( 3 8 0 1 0 0 1 +and D, and a an and and BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 ,),. 4 9 0 1 0 0 1 +contains a contains c co con cont BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 , 1 9 0 1 0 0 1 +the class. the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 .( 2 9 0 1 0 0 1 +in the in i in in in BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 9 5 ) 1 9 0 1 0 0 1 +according to according a ac acc acco BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 :, 2 9 0 1 0 0 1 +the hypothesis the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 . 1 8 0 1 0 0 1 +several classes, several s se sev seve BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 , 1 10 0 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 0 ..,, 4 10 0 1 0 0 1 +28 of 28 2 28 28 28 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 0 no 0 10 0 1 0 0 1 +class compared class c cl cla clas BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 .,, 3 9 0 0 0 0 1 +the dependency the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 . 1 2 0 0 0 0 1 +Concerning the concerning C Co Con Conc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 (.), 4 8 0 0 0 0 1 +28 texts, 28 2 28 28 28 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 0 ,,,, 4 9 0 0 0 0 1 +6874 lemmas 6874 6 68 687 6874 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 0 (.-). 5 8 0 0 0 0 1 +number of number n nu num numb BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 ,.,- 4 10 0 0 0 0 1 +duced to duced d du duc duce BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 ., 2 9 0 0 0 0 1 +the number the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 /: 2 9 0 0 0 0 1 +(mother or (mother ( (m (mo (mot BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 (),, 4 9 0 0 0 0 1 +the level the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 , 1 9 0 0 0 0 1 +the household, the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 ,,-,, 5 9 0 0 0 0 1 +the relationship the t th the the BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 - 1 9 0 0 0 0 1 +tion about tion t ti tio tion BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 ,, 2 9 0 0 0 0 1 +of breastfeeding, of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 ,,, 3 9 0 0 0 0 1 +(salty or (salty ( (s (sa (sal BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 ()(,, 5 9 0 0 0 0 1 +combination). combination). combination). c co com comb BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 ). 2 1 0 0 0 0 1 +The dynamic the T Th The The BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 8 0 0 0 0 1 +interviewed on interviewed i in int inte BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 (..)., 6 9 0 0 0 0 1 +compared within compared c co com comp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 (.). 4 9 0 0 0 0 1 +of 40 of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 .,,, 4 9 0 0 0 0 1 +5330 lemmas 5330 5 53 533 5330 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 0 (.-). 5 8 0 0 0 0 1 +of occurrences of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 0 ,., 3 10 0 0 0 0 1 +121,928 occurrences, 121,928 1 12 121 121, BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 9 0 ,,(.- 5 8 0 0 0 0 1 +forms) and forms) f fo for form BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 0 ). 2 6 0 0 0 0 1 +Appendix C appendix A Ap App Appe BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 no 0 10 0 0 0 0 1 +Table A2. table T Ta Tab Tabl BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 .,,:. 5 10 0 0 0 0 1 +Words Words words W Wo Wor Word BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 no 0 2 0 0 0 0 1 +Subtotal to subtotal S Su Sub Subt BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 7 no 0 10 0 0 0 0 1 +Chi2 Chi2 chi2 C Ch Chi Chi2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 7 no 0 2 0 0 0 0 1 +p p p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 7 no 0 0 0 0 0 0 1 +Class 1 class C Cl Cla Clas BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 no 0 3 0 0 0 0 1 +Relating to relating R Re Rel Rela BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 no 0 10 0 0 0 0 1 +2507/11,387 = 2507/11,387 2 25 250 2507 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 9 8 /,. 3 10 0 0 0 0 1 +Classified Segments classified C Cl Cla Clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 8 0 0 0 0 1 +Weight Weight weight W We Wei Weig BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 4 0 0 0 0 1 +98/104 = 98/104 9 98 98/ 98/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 /. 2 10 0 0 0 0 1 +318.8 318.8 318.8 3 31 318 318. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 8 . 1 6 0 0 0 0 1 +Height Height height H He Hei Heig BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 5 0 0 0 0 1 +40/50 = 40/50 4 40 40/ 40/5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 / 1 10 0 0 0 0 1 +98.34 98.34 98.34 9 98 98. 98.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 . 1 5 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 8 . 1 9 0 0 0 0 1 +Concern Concern concern C Co Con Conc BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 5 0 0 0 0 1 +58/78 = 58/78 5 58 58/ 58/7 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 /. 2 10 0 0 0 0 1 +125.33 125.33 125.33 1 12 125 125. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 8 . 1 7 0 0 0 0 1 +Problem Problem problem P Pr Pro Prob BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 9 no 0 5 0 0 0 0 1 +86/162 = 86/162 8 86 86/ 86/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 /. 2 10 0 0 0 0 1 +92.4 92.4 92.4 9 92 92. 92.4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 9 . 1 6 0 0 0 0 1 +Difficulties Difficulties difficulties D Di Dif Diff BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 9 no 0 8 0 0 0 0 1 +67/123 = 67/123 6 67 67/ 67/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 /. 2 10 0 0 0 0 1 +76.29 76.29 76.29 7 76 76. 76.2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 9 . 1 6 0 0 0 0 1 +Reflux Reflux reflux R Re Ref Refl BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 9 no 0 4 0 0 0 0 1 +34/37 = 34/37 3 34 34/ 34/3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 /. 2 10 0 0 0 0 1 +105.56 105.56 105.56 1 10 105 105. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 9 . 1 7 0 0 0 0 1 +Worry Worry worry W Wo Wor Worr BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 9 no 0 4 0 0 0 0 1 +41/78 = 41/78 4 41 41/ 41/7 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 /. 2 10 0 0 0 0 1 +42.69 42.69 42.69 4 42 42. 42.6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 9 . 1 7 0 0 0 0 1 +Girls Girls girls G Gi Gir Girl BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 10 no 0 4 0 0 0 0 1 +49/76 = 49/76 4 49 49/ 49/7 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 /. 2 10 0 0 0 0 1 +80.33 80.33 80.33 8 80 80. 80.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 10 . 1 7 0 0 0 0 1 +Health Health health H He Hea Heal BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 9 10 no 0 4 0 1 0 0 1 +43/47 = 43/47 4 43 43/ 43/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 /. 2 10 0 1 0 0 1 +132.67 132.67 132.67 1 13 132 132. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 10 . 1 7 0 1 0 0 1 +Curve Curve curve C Cu Cur Curv BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 10 no 0 4 0 1 0 0 1 +66/66 = 66/66 6 66 66/ 66/6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 / 1 10 0 1 0 0 1 +235.14 235.14 235.14 2 23 235 235. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 . 1 5 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 10 . 1 8 0 1 0 0 1 +Pediatrician Pediatrician pediatrician P Pe Ped Pedi BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 10 no 0 8 0 1 0 0 1 +125/168 = 125/168 1 12 125 125/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 /. 2 10 0 1 0 0 1 +272.58 272.58 272.58 2 27 272 272. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 10 . 1 6 0 1 0 0 1 +Doctor Doctor doctor D Do Doc Doct BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 11 no 0 4 0 1 0 0 1 +96/116 = 96/116 9 96 96/ 96/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 /. 2 10 0 1 0 0 1 +251.85 251.85 251.85 2 25 251 251. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 11 . 1 6 0 1 0 0 1 +Booklet (Health) booklet B Bo Boo Book BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 11 () 2 10 0 1 0 0 1 +19/19 = 19/19 1 19 19/ 19/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 / 1 7 0 1 0 0 1 +67.41 67.41 67.41 6 67 67. 67.4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 . 1 3 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 11 . 1 6 0 1 0 0 1 +General practitioner general G Ge Gen Gene BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 11 no 0 10 0 1 0 0 1 +19/19 = 19/19 1 19 19/ 19/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 / 1 6 0 1 0 0 1 +67.41 67.41 67.41 6 67 67. 67.4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 . 1 2 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 11 . 1 5 0 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 0 ..,, 4 10 0 1 0 0 1 +29 of 29 2 29 29 29 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 9 0 no 0 10 0 1 0 0 1 +Table A2. table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 .. 2 10 0 1 0 0 1 +Words Words words W Wo Wor Word BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 2 0 1 0 0 1 +Subtotal to subtotal S Su Sub Subt BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 0 no 0 10 0 1 0 0 1 +Chi2 Chi2 chi2 C Ch Chi Chi2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 0 no 0 2 0 1 0 0 1 +p p p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 0 no 0 0 0 1 0 0 1 +Growth Growth growth G Gr Gro Grow BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 4 0 1 0 0 1 +21/26 = 21/26 2 21 21/ 21/2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 0 /. 2 10 0 1 0 0 1 +52.39 52.39 52.39 5 52 52. 52.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 0 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 0 . 1 7 0 1 0 0 1 +Allergy Allergy allergy A Al All Alle BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 0 no 0 5 0 1 0 0 1 +22/26 = 22/26 2 22 22/ 22/2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 0 /. 2 10 0 1 0 0 1 +59.48 59.48 59.48 5 59 59. 59.4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 0 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 0 . 1 7 0 1 0 0 1 +Weighing Weighing weighing W We Wei Weig BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 1 no 0 6 0 0 0 0 1 +24/34 = 24/34 2 24 24/ 24/3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 1 /. 2 10 0 0 0 0 1 +46.86 46.86 46.86 4 46 46. 46.8 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 1 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 1 . 1 7 0 0 0 0 1 +Vomiting Vomiting vomiting V Vo Vom Vomi BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 1 no 0 6 0 0 0 0 1 +29/44 = 29/44 2 29 29/ 29/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 1 /. 2 10 0 0 0 0 1 +49.56 49.56 49.56 4 49 49. 49.5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 1 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 1 . 1 7 0 0 0 0 1 +Body Body body B Bo Bod Body BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 1 no 0 3 0 0 0 0 1 +14/16 = 14/16 1 14 14/ 14/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 1 /. 2 10 0 0 0 0 1 +40.02 40.02 40.02 4 40 40. 40.0 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 1 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 1 . 1 7 0 0 0 0 1 +Sick Sick sick S Si Sic Sick BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 3 0 0 0 0 1 +54/116 = 54/116 5 54 54/ 54/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 2 /. 2 10 0 0 0 0 1 +41.09 41.09 41.09 4 41 41. 41.0 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 2 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 2 . 1 6 0 0 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 10 0 0 0 0 1 +income income income i in inc inco BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 2 0 0 0 0 1 +201/615 = 201/615 2 20 201 201/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 2 /. 2 5 0 0 0 0 1 +43.08 43.08 43.08 4 43 43. 43.0 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 2 . 1 1 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 2 . 1 3 0 0 0 0 1 +Children followed children C Ch Chi Chil BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 8 0 0 0 0 1 +pediatrician and pediatrician p pe ped pedi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 9 2 no 0 10 0 0 0 0 1 +practitioner practitioner practitioner p pr pra prac BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 2 no 0 4 0 0 0 0 1 +869/3385 = 869/3385 8 86 869 869/ BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 3 /. 2 10 0 0 0 0 1 +37.5 37.5 37.5 3 37 37. 37.5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 3 . 1 2 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 3 . 1 6 0 0 0 0 1 +Class 2 class C Cl Cla Clas BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 2 0 0 0 0 1 +Relationship to relationship R Re Rel Rela BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 10 0 0 0 0 1 +repertoire repertoire repertoire r re rep repe BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 3 0 0 0 0 1 +2018/11,387 = 2018/11,387 2 20 201 2018 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 9 3 /,. 3 10 0 0 0 0 1 +classified segments classified c cl cla clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 8 0 0 0 0 1 +Chocolate Chocolate chocolate C Ch Cho Choc BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 3 no 0 5 0 0 0 0 1 +136/179 = 136/179 1 13 136 136/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 3 /. 2 10 0 0 0 0 1 +423.27 423.27 423.27 4 42 423 423. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 3 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 3 . 1 6 0 0 0 0 1 +Cakes Cakes cakes C Ca Cak Cake BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 4 no 0 3 0 0 0 0 1 +129/231 = 129/231 1 12 129 129/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 4 /. 2 10 0 0 0 0 1 +235.0 235.0 235.0 2 23 235 235. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 4 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 4 . 1 6 0 0 0 0 1 +Sweet Sweet sweet S Sw Swe Swee BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 9 4 no 0 3 0 0 0 0 1 +136/191 = 136/191 1 13 136 136/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 4 /. 2 10 0 0 0 0 1 +381.07 381.07 381.07 3 38 381 381. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 4 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 4 . 1 6 0 0 0 0 1 +Sugar Sugar sugar S Su Sug Suga BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 4 no 0 3 0 0 0 0 1 +103/124 = 103/124 1 10 103 103/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 4 /. 2 10 0 0 0 0 1 +367.09 367.09 367.09 3 36 367 367. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 4 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 4 . 1 6 0 0 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 5 no 0 10 0 0 0 0 1 +education and education e ed edu educ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 5 no 0 6 0 0 0 0 1 +98/450 = 98/450 9 98 98/ 98/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 5 /. 2 4 0 0 0 0 1 +5.29 5.29 5.29 5 5. 5.2 5.29 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 5 . 1 1 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 5 . 1 3 0 0 0 0 1 +Fruits Fruits fruits F Fr Fru Frui BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 5 no 0 4 0 0 0 0 1 +238/334 = 238/334 2 23 238 238/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 5 /. 2 10 0 0 0 0 1 +676.34 676.34 676.34 6 67 676 676. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 5 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 5 . 1 6 0 0 0 0 1 +Compotes Compotes compotes C Co Com Comp BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 6 no 0 5 0 0 0 0 1 +230/355 = 230/355 2 23 230 230/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 6 /. 2 10 0 0 0 0 1 +556.69 556.69 556.69 5 55 556 556. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 6 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 6 . 1 6 0 0 0 0 1 +Organic Organic organic O Or Org Orga BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 6 no 0 4 0 0 0 0 1 +130/155 = 130/155 1 13 130 130/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 6 /. 2 10 0 0 0 0 1 +471.56 471.56 471.56 4 47 471 471. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 6 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 6 . 1 6 0 0 0 0 1 +Markets Markets markets M Ma Mar Mark BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 6 no 0 5 0 0 0 0 1 +94/150 = 94/150 9 94 94/ 94/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 6 /. 2 10 0 0 0 0 1 +210.58 210.58 210.58 2 21 210 210. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 6 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 6 . 1 6 0 0 0 0 1 +Dairy products dairy D Da Dai Dair BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 no 0 8 0 0 0 0 1 +147/480 = 147/480 1 14 147 147/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 7 /. 2 10 0 0 0 0 1 +57.22 57.22 57.22 5 57 57. 57.2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 7 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 7 . 1 6 0 0 0 0 1 +Yogurts Yogurts yogurts Y Yo Yog Yogu BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 no 0 4 0 0 0 0 1 +270/369 = 270/369 2 27 270 270/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 7 /. 2 10 0 0 0 0 1 +804.12 804.12 804.12 8 80 804 804. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 7 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 7 . 1 6 0 0 0 0 1 +Cheese Cheese cheese C Ch Che Chee BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 7 no 0 4 0 0 0 0 1 +114/273 = 114/273 1 11 114 114/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 7 /. 2 10 0 0 0 0 1 +110.83 110.83 110.83 1 11 110 110. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 7 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 7 . 1 6 0 0 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 10 0 0 0 0 1 +education and education e ed edu educ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 7 0 0 0 0 1 +137/615 = 137/615 1 13 137 137/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 /. 2 6 0 0 0 0 1 +9.25 9.25 9.25 9 9. 9.2 9.25 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 . 1 1 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 8 . 1 4 0 0 0 0 1 +High social high H Hi Hig High BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 9 8 no 0 10 0 0 0 0 1 +795/4206 = 795/4206 7 79 795 795/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 /. 2 8 0 0 0 0 1 +6.36 6.36 6.36 6 6. 6.3 6.36 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 8 . 1 2 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 8 . 1 5 0 0 0 0 1 +Class 3 class C Cl Cla Clas BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 3 0 0 0 0 1 +Relationship to relationship R Re Rel Rela BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 10 0 0 0 0 1 +food repertoire food f fo foo food BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 8 no 0 6 0 0 0 0 1 +2415/11,387 = 2415/11,387 2 24 241 2415 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 9 9 /,. 3 10 0 0 0 0 1 +classified segments classified c cl cla clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 9 9 no 0 8 0 0 0 0 1 +Vegetables Vegetables vegetables V Ve Veg Vege BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 9 no 0 6 0 0 0 0 1 +328/473 = 328/473 3 32 328 328/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 /. 2 10 0 0 0 0 1 +684.29 684.29 684.29 6 68 684 684. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 9 . 1 6 0 0 0 0 1 +Carrot Carrot carrot C Ca Car Carr BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 9 no 0 4 0 0 0 0 1 +202/226 = 202/226 2 20 202 202/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 /. 2 10 0 0 0 0 1 +641.27 641.27 641.27 6 64 641 641. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 9 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 9 . 1 6 0 0 0 0 1 +Tomato Tomato tomato T To Tom Toma BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 10 no 0 4 0 1 0 0 1 +113/121 = 113/121 1 11 113 113/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 /. 2 10 0 1 0 0 1 +381.3 381.3 381.3 3 38 381 381. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 . 1 3 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 10 . 1 6 0 1 0 0 1 +Zucchini Zucchini zucchini Z Zu Zuc Zucc BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 9 10 no 0 5 0 1 0 0 1 +97/105 = 97/105 9 97 97/ 97/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 /. 2 10 0 1 0 0 1 +321.26 321.26 321.26 3 32 321 321. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 10 . 1 6 0 1 0 0 1 +Pasta Pasta pasta P Pa Pas Past BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 10 no 0 3 0 1 0 0 1 +221/310 = 221/310 2 22 221 221/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 /. 2 10 0 1 0 0 1 +478.33 478.33 478.33 4 47 478 478. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 10 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 10 . 1 6 0 1 0 0 1 +Rice Rice rice R Ri Ric Rice BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 9 11 no 0 2 0 1 0 0 1 +106/147 = 106/147 1 10 106 106/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 /. 2 10 0 1 0 0 1 +230.9 230.9 230.9 2 23 230 230. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 . 1 3 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 11 . 1 6 0 1 0 0 1 +Meat Meat meat M Me Mea Meat BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 9 11 no 0 2 0 1 0 0 1 +248/316 = 248/316 2 24 248 248/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 /. 2 10 0 1 0 0 1 +637.99 637.99 637.99 6 63 637 637. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 9 11 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 9 11 . 1 6 0 1 0 0 1 +Ham Ham ham H Ha Ham Ham BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 10 11 no 0 2 0 1 0 0 1 +118/132 = 118/132 1 11 118 118/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 /. 2 10 0 1 0 0 1 +371.56 371.56 371.56 3 37 371 371. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 11 . 1 6 0 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 ..,, 4 10 0 1 0 0 1 +30 of 30 3 30 30 30 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +Table A2. table T Ta Tab Tabl BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 .. 2 10 0 1 0 0 1 +Words Words words W Wo Wor Word BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 no 0 2 0 1 0 0 1 +Subtotal to subtotal S Su Sub Subt BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +Chi2 Chi2 chi2 C Ch Chi Chi2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 no 0 2 0 1 0 0 1 +p p p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 0 no 0 0 0 1 0 0 1 +Parents compliant parents P Pa Par Pare BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +1470/6274 = 1470/6274 1 14 147 1470 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 0 /. 2 5 0 1 0 0 1 +41.27 41.27 41.27 4 41 41. 41.2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 . 1 1 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 0 . 1 3 0 1 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 no 0 10 0 1 0 0 1 +1117/4810 = 1117/4810 1 11 111 1117 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 1 /. 2 7 0 1 0 0 1 +20.22 20.22 20.22 2 20 20. 20.2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 . 1 2 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 1 . 1 4 0 1 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 no 0 10 0 0 0 0 1 +of education of o of of of BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 1 no 0 5 0 0 0 0 1 +327/1347 = 327/1347 3 32 327 327/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 1 /. 2 6 0 0 0 0 1 +8.6 8.6 8.6 8 8. 8.6 8.6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 . 1 1 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 1 . 1 4 0 0 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 no 0 10 0 0 0 0 1 +high education high h hi hig high BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 10 2 no 0 5 0 0 0 0 1 +419/1769 = 419/1769 4 41 419 419/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 2 /. 2 6 0 0 0 0 1 +7.69 7.69 7.69 7 7. 7.6 7.69 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 2 . 1 1 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 2 . 1 4 0 0 0 0 1 +Class 4 class C Cl Cla Clas BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 no 0 2 0 0 0 0 1 +Temporal framework temporal T Te Tem Temp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 no 0 10 0 0 0 0 1 +socialization socialization socialization s so soc soci BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 2 no 0 5 0 0 0 0 1 +1659/11,387 = 1659/11,387 1 16 165 1659 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 3 /,. 3 10 0 0 0 0 1 +classified segments classified c cl cla clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 3 no 0 8 0 0 0 0 1 +Morning Morning morning M Mo Mor Morn BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 no 0 4 0 0 0 0 1 +239/378 = 239/378 2 23 239 239/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 /. 2 10 0 0 0 0 1 +743.73 743.73 743.73 7 74 743 743. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 3 . 1 6 0 0 0 0 1 +Evening Evening evening E Ev Eve Even BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 no 0 4 0 0 0 0 1 +308/668 = 308/668 3 30 308 308/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 /. 2 10 0 0 0 0 1 +567.1 567.1 567.1 5 56 567 567. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 3 . 1 6 0 0 0 0 1 +Night Night night N Ni Nig Nigh BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 4 no 0 3 0 0 0 0 1 +128/167 = 128/167 1 12 128 128/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 /. 2 10 0 0 0 0 1 +524.75 524.75 524.75 5 52 524 524. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 4 . 1 6 0 0 0 0 1 +Noon Noon noon N No Noo Noon BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 4 no 0 2 0 0 0 0 1 +207/384 = 207/384 2 20 207 207/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 /. 2 10 0 0 0 0 1 +494.06 494.06 494.06 4 49 494 494. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 4 . 1 6 0 0 0 0 1 +Waking up waking W Wa Wak Waki BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 4 no 0 6 0 0 0 0 1 +99/113 = 99/113 9 99 99/ 99/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 /. 2 10 0 0 0 0 1 +489.21 489.21 489.21 4 48 489 489. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 4 . 1 6 0 0 0 0 1 +Time Time time T Ti Tim Time BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 5 no 0 2 0 0 0 0 1 +166/306 = 166/306 1 16 166 166/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 5 /. 2 10 0 0 0 0 1 +397.76 397.76 397.76 3 39 397 397. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 5 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 5 . 1 6 0 0 0 0 1 +Parents reporting parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 5 no 0 9 0 0 0 0 1 +follow-up of follow-up f fo fol foll BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 5 - 1 10 0 0 0 0 1 +a pediatrician a a a a a BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 1 0 0 0 0 0 10 5 no 0 5 0 0 0 0 1 +1112/6687 = 1112/6687 1 11 111 1112 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 6 /. 2 10 0 0 0 0 1 +55.24 55.24 55.24 5 55 55. 55.2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 6 . 1 5 0 0 0 0 1 +Parents of parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 6 - 1 10 0 0 0 0 1 +position position position p po pos posi BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 6 no 0 2 0 0 0 0 1 +424/2544 = 424/2544 4 42 424 424/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 6 /. 2 5 0 0 0 0 1 +11.58 11.58 11.58 1 11 11. 11.5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 . 1 1 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 6 . 1 3 0 0 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 7 no 0 10 0 0 0 0 1 +education and education e ed edu educ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 7 no 0 6 0 0 0 0 1 +384/2294 = 384/2294 3 38 384 384/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 7 /. 2 5 0 0 0 0 1 +11.58 11.58 11.58 1 11 11. 11.5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 . 1 1 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 7 . 1 3 0 0 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 7 no 0 10 0 0 0 0 1 +education and education e ed edu educ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 7 no 0 7 0 0 0 0 1 +222/1291 = 222/1291 2 22 222 222/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 7 /. 2 6 0 0 0 0 1 +8.07 8.07 8.07 8 8. 8.0 8.07 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 . 1 1 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 7 . 1 4 0 0 0 0 1 +Primiparous Primiparous primiparous P Pr Pri Prim BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 8 no 0 6 0 0 0 0 1 +1073/7002 = 1073/7002 1 10 107 1073 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 8 /. 2 10 0 0 0 0 1 +8.33 8.33 8.33 8 8. 8.3 8.33 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 8 . 1 2 0 0 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 8 . 1 6 0 0 0 0 1 +Class 5 class C Cl Cla Clas BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 3 0 0 0 0 1 +Social framework social S So Soc Soci BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 10 0 0 0 0 1 +socialization socialization socialization s so soc soci BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 5 0 0 0 0 1 +2788/11,387 = 2788/11,387 2 27 278 2788 BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 8 /,. 3 10 0 0 0 0 1 +classified segments classified c cl cla clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 8 0 0 0 0 1 +Table Table table T Ta Tab Tabl BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 9 no 0 3 0 0 0 0 1 +241/321 = 241/321 2 24 241 241/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 /. 2 10 0 0 0 0 1 +457.3 457.3 457.3 4 45 457 457. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 9 . 1 6 0 0 0 0 1 +Play Play play P Pl Pla Play BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 9 no 0 3 0 1 0 0 1 +165/247 = 165/247 1 16 165 165/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 /. 2 10 0 1 0 0 1 +244.53 244.53 244.53 2 24 244 244. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 9 . 1 6 0 1 0 0 1 +Hunger Hunger hunger H Hu Hun Hung BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 10 no 0 4 0 1 0 0 1 +237/429 = 237/429 2 23 237 237/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 /. 2 10 0 1 0 0 1 +228.14 228.14 228.14 2 22 228 228. BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 10 . 1 6 0 1 0 0 1 +Meals Meals meals M Me Mea Meal BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 10 no 0 3 0 1 0 0 1 +244/632 = 244/632 2 24 244 244/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 /. 2 10 0 1 0 0 1 +72.19 72.19 72.19 7 72 72. 72.1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 . 1 3 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 10 . 1 6 0 1 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 10 no 0 10 0 1 0 0 1 +226/748 = 226/748 2 22 226 226/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 /. 2 5 0 1 0 0 1 +14.22 14.22 14.22 1 14 14. 14.2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 . 1 1 0 1 0 0 1 +p = p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 10 . 1 3 0 1 0 0 1 +Parents with parents P Pa Par Pare BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 11 no 0 10 0 1 0 0 1 +education and education e ed edu educ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 11 no 0 7 0 1 0 0 1 +201/692 = 201/692 2 20 201 201/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 /. 2 6 0 1 0 0 1 +8.29 8.29 8.29 8 8. 8.2 8.29 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 . 1 1 0 1 0 0 1 +p = p p p p p BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 11 . 1 4 0 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 ..,, 4 10 0 1 0 0 1 +31 of 31 3 31 31 31 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +Appendix D appendix A Ap App Appe BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +Table A3. table T Ta Tab Tabl BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 .,,:. 5 10 0 1 0 0 1 +Words Words words W Wo Wor Word BLOCKSTART PAGEIN SAMEFONT LOWERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 no 0 2 0 1 0 0 1 +Subtotal to subtotal S Su Sub Subt BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +Chi2 Chi2 chi2 C Ch Chi Chi2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 1 0 INITCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 0 no 0 2 0 1 0 0 1 +p p p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 1 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 0 no 0 0 0 1 0 0 1 +Class 1 class C Cl Cla Clas BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 no 0 2 0 0 0 0 1 +Relating to relating R Re Rel Rela BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 no 0 10 0 0 0 0 1 +245/1485 = 245/1485 2 24 245 245/ BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 0 /. 2 10 0 0 0 0 1 +classified segments classified c cl cla clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 no 0 10 0 0 0 0 1 +Tomato Tomato tomato T To Tom Toma BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 no 0 4 0 0 0 0 1 +23/26 = 23/26 2 23 23/ 23/2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 /. 2 10 0 0 0 0 1 +99.48 99.48 99.48 9 99 99. 99.4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 1 . 1 7 0 0 0 0 1 +Meat Meat meat M Me Mea Meat BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 no 0 3 0 0 0 0 1 +33/48 = 33/48 3 33 33/ 33/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 /. 2 10 0 0 0 0 1 +98.31 98.31 98.31 9 98 98. 98.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 1 . 1 7 0 0 0 0 1 +Egg Egg egg E Eg Egg Egg BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 no 0 2 0 0 0 0 1 +22/26 = 22/26 2 22 22/ 22/2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 /. 2 10 0 0 0 0 1 +89.13 89.13 89.13 8 89 89. 89.1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 1 . 1 7 0 0 0 0 1 +Sauce Sauce sauce S Sa Sau Sauc BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 no 0 4 0 0 0 0 1 +17/17 = 17/17 1 17 17/ 17/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 / 1 10 0 0 0 0 1 +87.04 87.04 87.04 8 87 87. 87.0 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 1 . 1 8 0 0 0 0 1 +Season diversification season S Se Sea Seas BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 10 2 no 0 10 0 0 0 0 1 +208/864 = 208/864 2 20 208 208/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 2 /. 2 7 0 0 0 0 1 +86.07 86.07 86.07 8 86 86. 86.0 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 2 . 1 2 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 2 . 1 4 0 0 0 0 1 +Diversification at diversification D Di Div Dive BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 no 0 10 0 0 0 0 1 +153/563 = 153/563 1 15 153 153/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 2 /. 2 6 0 0 0 0 1 +75.04 75.04 75.04 7 75 75. 75.0 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 2 . 1 2 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 2 . 1 3 0 0 0 0 1 +Class 2 class C Cl Cla Clas BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 no 0 2 0 0 0 0 1 +Perceived changes perceived P Pe Per Perc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 2 ' 1 10 0 0 0 0 1 +development development development d de dev deve BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 1 1 0 0 0 0 0 10 2 no 0 4 0 0 0 0 1 +577/1485 = 577/1485 5 57 577 577/ BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 3 /. 2 10 0 0 0 0 1 +classified segments classified c cl cla clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 3 no 0 9 0 0 0 0 1 +Child Child child C Ch Chi Chil BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 10 3 no 0 4 0 0 0 0 1 +43/58 = 43/58 4 43 43/ 43/5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 /. 2 10 0 0 0 0 1 +31.63 31.63 31.63 3 31 31. 31.6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 3 . 1 7 0 0 0 0 1 +Month Month month M Mo Mon Mont BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 no 0 4 0 0 0 0 1 +34/47 = 34/47 3 34 34/ 34/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 /. 2 10 0 0 0 0 1 +22.91 22.91 22.91 2 22 22. 22.9 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 3 . 1 7 0 0 0 0 1 +Curve Curve curve C Cu Cur Curv BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 no 0 4 0 0 0 0 1 +14/14 = 14/14 1 14 14/ 14/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 / 1 10 0 0 0 0 1 +22.24 22.24 22.24 2 22 22. 22.2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 3 . 1 8 0 0 0 0 1 +Weight Weight weight W We Wei Weig BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 3 no 0 4 0 0 0 0 1 +15/16 = 15/16 1 15 15/ 15/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 /. 2 10 0 0 0 0 1 +20.52 20.52 20.52 2 20 20. 20.5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 3 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 3 . 1 7 0 0 0 0 1 +Girl Girl girl G Gi Gir Girl BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 4 no 0 3 0 0 0 0 1 +20/24 = 20/24 2 20 20/ 20/2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 /. 2 10 0 0 0 0 1 +20.31 20.31 20.31 2 20 20. 20.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 4 . 1 7 0 0 0 0 1 +Diversification at diversification D Di Div Dive BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 4 no 0 10 0 0 0 0 1 +2 2 2 2 2 2 2 BLOCKSTART PAGEIN SAMEFONT LOWERFONT 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 10 4 no 0 10 0 0 0 0 1 +61/70 = 61/70 6 61 61/ 61/7 BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 /. 2 10 0 0 0 0 1 +72.1 72.1 72.1 7 72 72. 72.1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 4 . 1 7 0 0 0 0 1 +High social high H Hi Hig High BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 10 4 no 0 10 0 0 0 0 1 +95/143 = 95/143 9 95 95/ 95/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 /. 2 7 0 0 0 0 1 +50.66 50.66 50.66 5 50 50. 50.6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 4 . 1 2 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 4 . 1 5 0 0 0 0 1 +Standards_promotion Standards_promotion standards_promotion S St Sta Stan BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 5 no 0 10 0 0 0 0 1 +148/265 = 148/265 1 14 148 148/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 5 /. 2 8 0 0 0 0 1 +39.21 39.21 39.21 3 39 39. 39.2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 5 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 5 . 1 5 0 0 0 0 1 +Class 3 class C Cl Cla Clas BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 5 no 0 2 0 0 0 0 1 +Relating to relating R Re Rel Rela BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 5 no 0 10 0 0 0 0 1 +435/1485 = 435/1485 4 43 435 435/ BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 5 /. 2 10 0 0 0 0 1 +classified segments classified c cl cla clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 5 no 0 9 0 0 0 0 1 +Buy Buy buy B Bu Buy Buy BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 5 no 0 2 0 0 0 0 1 +70/95 = 70/95 7 70 70/ 70/9 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 5 /. 2 10 0 0 0 0 1 +96.56 96.56 96.56 9 96 96. 96.5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 5 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 5 . 1 7 0 0 0 0 1 +Yogurt Yogurt yogurt Y Yo Yog Yogu BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 6 no 0 4 0 0 0 0 1 +57/71 = 57/71 5 57 57/ 57/7 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 /. 2 10 0 0 0 0 1 +93.6 93.6 93.6 9 93 93. 93.6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 6 . 1 7 0 0 0 0 1 +Compote Compote compote C Co Com Comp BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 6 no 0 5 0 0 0 0 1 +43/51 = 43/51 4 43 43/ 43/5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 /. 2 10 0 0 0 0 1 +77.19 77.19 77.19 7 77 77. 77.1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 6 . 1 7 0 0 0 0 1 +Fruit Fruit fruit F Fr Fru Frui BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 6 no 0 4 0 0 0 0 1 +34/44 = 34/44 3 34 34/ 34/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 /. 2 10 0 0 0 0 1 +50.4 50.4 50.4 5 50 50. 50.4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 6 . 1 7 0 0 0 0 1 +Dessert Dessert dessert D De Des Dess BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 6 no 0 5 0 0 0 0 1 +27/32 = 27/32 2 27 27/ 27/3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 /. 2 10 0 0 0 0 1 +47.91 47.91 47.91 4 47 47. 47.9 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 6 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 6 . 1 7 0 0 0 0 1 +Chocolate Chocolate chocolate C Ch Cho Choc BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 7 no 0 6 0 0 0 0 1 +32/45 = 32/45 3 32 32/ 32/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 /. 2 10 0 0 0 0 1 +39.18 39.18 39.18 3 39 39. 39.1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 7 . 1 7 0 0 0 0 1 +Standards_distance Standards_distance standards_distance S St Sta Stan BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 7 no 0 10 0 0 0 0 1 +42/63 = 42/63 4 42 42/ 42/6 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 /. 2 7 0 0 0 0 1 +44.37 44.37 44.37 4 44 44. 44.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 7 . 1 5 0 0 0 0 1 +No breastfeeding no N No No No BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 7 no 0 10 0 0 0 0 1 +82/161 = 82/161 8 82 82/ 82/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 /. 2 9 0 0 0 0 1 +40.82 40.82 40.82 4 40 40. 40.8 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 7 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 7 . 1 6 0 0 0 0 1 +Follow-up_pediatrician Follow-up_pediatrician follow-up_pediatrician F Fo Fol Foll BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 8 - 1 10 0 0 0 0 1 +259/709 = 259/709 2 25 259 259/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 8 /. 2 7 0 0 0 0 1 +34.31 34.31 34.31 3 34 34. 34.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 8 . 1 2 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 8 . 1 4 0 0 0 0 1 +Sex of sex S Se Sex Sex BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 10 0 0 0 0 1 +235/668 = 235/668 2 23 235 235/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 8 /. 2 10 0 0 0 0 1 +20.31 20.31 20.31 2 20 20. 20.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 8 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 8 . 1 6 0 0 0 0 1 +Class 4 class C Cl Cla Clas BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 2 0 0 0 0 1 +Temporal framework temporal T Te Tem Temp BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 10 0 0 0 0 1 +socialization socialization socialization s so soc soci BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 5 0 0 0 0 1 +228/1485 = 228/1485 2 22 228 228/ BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 8 /. 2 10 0 0 0 0 1 +classified segments classified c cl cla clas BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 8 no 0 9 0 0 0 0 1 +Wake up wake W Wa Wak Wake BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 1 0 0 0 0 0 10 8 no 0 6 0 0 0 0 1 +16/16 = 16/16 1 16 16/ 16/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 8 / 1 10 0 0 0 0 1 +89.17 89.17 89.17 8 89 89. 89.1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 8 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 8 . 1 8 0 0 0 0 1 +Bottle feeding bottle B Bo Bot Bott BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 9 no 0 10 0 0 0 0 1 +27/41 = 27/41 2 27 27/ 27/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 /. 2 10 0 0 0 0 1 +82.74 82.74 82.74 8 82 82. 82.7 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 9 . 1 7 0 0 0 0 1 +Night Night night N Ni Nig Nigh BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 9 no 0 4 0 0 0 0 1 +16/17 = 16/17 1 16 16/ 16/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 /. 2 10 0 0 0 0 1 +82.09 82.09 82.09 8 82 82. 82.0 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 . 1 4 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 9 . 1 7 0 0 0 0 1 +Morning Morning morning M Mo Mor Morn BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 9 no 0 5 0 0 0 0 1 +29/49 = 29/49 2 29 29/ 29/4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 /. 2 10 0 0 0 0 1 +74.9 74.9 74.9 7 74 74. 74.9 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 9 . 1 3 0 0 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 9 . 1 7 0 0 0 0 1 +Sleep Sleep sleep S Sl Sle Slee BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 10 no 0 4 0 1 0 0 1 +13/13 = 13/13 1 13 13/ 13/1 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 / 1 10 0 1 0 0 1 +72.3 72.3 72.3 7 72 72. 72.3 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 . 1 3 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 10 . 1 8 0 1 0 0 1 +Bedtime Bedtime bedtime B Be Bed Bedt BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 10 no 0 5 0 1 0 0 1 +17/21 = 17/21 1 17 17/ 17/2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 /. 2 10 0 1 0 0 1 +70.53 70.53 70.53 7 70 70. 70.5 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 10 . 1 7 0 1 0 0 1 +Time Time time T Ti Tim Time BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 10 no 0 3 0 1 0 0 1 +19/26 = 19/26 1 19 19/ 19/2 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 /. 2 10 0 1 0 0 1 +68.85 68.85 68.85 6 68 68. 68.8 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 . 1 4 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 10 . 1 7 0 1 0 0 1 +Salty type salty S Sa Sal Salt BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 10 no 0 10 0 1 0 0 1 +196/1000 = 196/1000 1 19 196 196/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 10 /. 2 6 0 1 0 0 1 +42.48 42.48 42.48 4 42 42. 42.4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 10 . 1 2 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 10 . 1 4 0 1 0 0 1 +Sex of sex S Se Sex Sex BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 11 no 0 10 0 1 0 0 1 +140/668 = 140/668 1 14 140 140/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 /. 2 10 0 1 0 0 1 +57.78 57.78 57.78 5 57 57. 57.7 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 . 1 3 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 11 . 1 6 0 1 0 0 1 +Follow-up_pediatrician Follow-up_pediatrician follow-up_pediatrician F Fo Fol Foll BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 11 - 1 10 0 1 0 0 1 +141/709 = 141/709 1 14 141 141/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 /. 2 7 0 1 0 0 1 +21.46 21.46 21.46 2 21 21. 21.4 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 . 1 2 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 11 . 1 4 0 1 0 0 1 +Family_Multiparous Family_Multiparous family_multiparous F Fa Fam Fami BLOCKSTART PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 11 no 0 10 0 1 0 0 1 +120/589 = 120/589 1 12 120 120/ BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 /. 2 8 0 1 0 0 1 +18.93 18.93 18.93 1 18 18. 18.9 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 11 . 1 3 0 1 0 0 1 +p < p p p p p BLOCKEND PAGEEND SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 1 0 0 0 0 0 0 0 10 11 . 1 5 0 1 0 0 1 +Soc. Sci. soc. S So Soc Soc. BLOCKSTART PAGESTART NEWFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 0 ..,, 4 10 0 1 0 0 1 +32 of 32 3 32 32 32 BLOCKSTART PAGEIN NEWFONT SAMEFONTSIZE 0 0 NOCAPS ALLDIGIT 0 0 0 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +Notes Notes notes N No Not Note BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +1 1 1 1 1 1 1 BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 NOCAPS ALLDIGIT 1 0 0 0 0 0 0 0 10 0 no 0 10 0 1 0 0 1 +"Food work" "food " "F "Fo "Foo BLOCKSTART PAGEIN SAMEFONT HIGHERFONT 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 "" 2 9 0 1 0 0 1 +approaches (DeVault approaches a ap app appr BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 (;;;')."" 9 9 0 1 0 0 1 +extends this extends e ex ext exte BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 .,, 3 10 0 1 0 0 1 +because it because b be bec beca BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 0 (;;.). 6 10 0 1 0 0 1 +This addition this T Th Thi This BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 0 ""() 4 9 0 1 0 0 1 +"good parenting" "good " "g "go "goo BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 0 ""(). 5 2 0 1 0 0 1 +References References references R Re Ref Refe BLOCKSTART PAGEIN NEWFONT HIGHERFONT 1 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 no 0 10 0 0 0 0 1 +Anderson, Judith anderson, A An And Ande BLOCKSTART PAGEIN NEWFONT LOWERFONT 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 1 ,.,.,.,.,.,.,.. 15 8 0 0 0 0 1 +2001. 5 2001. 2 20 200 2001 BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 1 0 0 0 10 1 .. 2 8 0 0 0 0 1 +Dietetic Association dietetic D Di Die Diet BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 10 1 :-.[] 5 3 0 0 0 0 1 +ANSES. 2019. anses. A AN ANS ANSE BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP NODIGIT 0 0 0 0 0 0 0 0 10 1 ..''-(-).- 10 8 0 0 0 0 1 +line: https://www.anses.fr/fr/content/avis-de-lanses-relatif-%C3%A0-lactualisation-des-rep%C3%A8res-alimentaires-dupnns- line: l li lin line BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 10 1 :://..///---------- 19 8 0 0 0 0 1 +jeunes-enfants-0-3 (accessed jeunes-enfants-0-3 j je jeu jeun BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 ---(). 6 3 0 0 0 0 1 +Birch, Leann birch, B Bi Bir Birc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 ,..':. 6 8 0 0 0 0 1 +4: 171-208. 4: 4 4: 4: 4: BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 ALLCAP CONTAINSDIGITS 0 0 0 0 0 0 0 0 10 1 :-. 3 0 0 0 0 0 1 +Birch, Leann birch, B Bi Bir Birc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 ,....,. 7 9 0 0 0 0 1 +Elizabeth D. elizabeth E El Eli Eliz BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 1 0 0 0 0 0 0 10 1 ...,:,.-. 9 7 0 0 0 0 1 +Birch, Leann birch, B Bi Bir Birc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 ,.,....:-. 10 9 0 0 0 0 1 +Birch, Leann birch, B Bi Bir Birc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 ,.,...'-'. 10 9 0 0 0 0 1 +Journal of journal J Jo Jou Jour BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 :-.[] 5 3 0 0 0 0 1 +Birch, Leann birch, B Bi Bir Birc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 ,.,,..- 7 8 0 0 0 0 1 +children's food children's c ch chi chil BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 0 0 0 0 0 0 10 1 '.:-.[] 7 4 0 0 0 0 1 +Birch, Leann birch, B Bi Bir Birc BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 1 0 0 0 0 0 10 1 ,.,,..,,..' 11 8 0 0 0 0 1 +neophobia? 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N Ni Nic Nick BLOCKIN PAGEIN SAMEFONT SAMEFONTSIZE 0 0 INITCAP NODIGIT 0 0 0 0 0 0 0 0 11 0 .. 2 8 0 1 0 0 1 +with Feeding with w wi wit with BLOCKEND PAGEIN SAMEFONT SAMEFONTSIZE 0 0 NOCAPS NODIGIT 0 0 1 0 0 0 0 0 11 0 .:-.[] 6 4 0 1 0 0 1 + diff --git a/grobid-trainer/resources/dataset/segmentation/corpus/tei/Gasiorowski_PLoS_Pathogens_2019-1_number_prefix.training.segmentation.tei.xml b/grobid-trainer/resources/dataset/segmentation/corpus/tei/Gasiorowski_PLoS_Pathogens_2019-1_number_prefix.training.segmentation.tei.xml new file mode 100644 index 0000000000..a78d37271f --- /dev/null +++ b/grobid-trainer/resources/dataset/segmentation/corpus/tei/Gasiorowski_PLoS_Pathogens_2019-1_number_prefix.training.segmentation.tei.xml @@ -0,0 +1,210 @@ + + + + + + + RESEARCH ARTICLE HupA, the main undecaprenyl pyrophosphate and phosphatidylglycerol phosphate phosphatase in Helicobacter pylori is essential for colonization of the stomach Elise Gasiorowski 1,2,3 , Rodolphe Auger 4 , Xudong Tian 4 , Samia Hicham 1,2 , Chantal Ecobichon 1,2 , Sophie Roure 4 , Martin V. Douglass 5,6,7 , M. Stephen Trent 5,6,7 , Dominique Mengin-Lecreulx ID 4 , Thierry Touze ´4*, Ivo Gomperts Boneca ID 1,2 * 1 Institut Pasteur, Unite ´biologie et ge ´ne ´tique de la paroi bacte ´rienne, 28, rue du Docteur Roux, Paris, France, 2 INSERM, Groupe Avenir, Paris, France, 3 Universite ´Paris Descartes, Sorbonne Paris Cite ´, Paris, France, 4 Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ Paris-Sud, Universite ´Paris-Saclay, Gif-sur-Yvette, France, 5 Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Georgia, United States of America, 6 Department of Microbiology, Franklin College of Arts and Sciences, University of Georgia, Georgia, United States of America, 7 Center for Vaccines and Immunology, University of Georgia, Georgia, United States of America * thierry.touze@u-psud.fr (TT); bonecai@pasteur.fr (IGB) Abstract The biogenesis of bacterial cell-envelope polysaccharides requires the translocation, across the plasma membrane, of sugar sub-units that are produced inside the cytoplasm. To this end, the hydrophilic sugars are anchored to a lipid phosphate carrier (undecaprenyl phos-phate (C 55 -P)), yielding membrane intermediates which are translocated to the outer face of the membrane. Finally, the glycan moiety is transferred to a nascent acceptor polymer, releasing the carrier in the "inactive" undecaprenyl pyrophosphate (C 55 -PP) form. Thus, C 55 -P is generated through the dephosphorylation of C 55 -PP, itself arising from either de novo synthesis or recycling. Two types of integral membrane C 55 -PP phosphatases were described: BacA enzymes and a sub-group of PAP2 enzymes (type 2 phosphatidic acid phosphatases). The human pathogen Helicobacter pylori does not contain BacA homologue but has four membrane PAP2 proteins: LpxE, LpxF, HP0350 and HP0851. Here, we report the physiological role of HP0851, renamed HupA, via multiple and complementary approaches ranging from a detailed biochemical characterization to the assessment of its effect on cell envelope metabolism and microbe-host interactions. HupA displays a dual function as being the main C 55 -PP pyrophosphatase (UppP) and phosphatidylglycerol phos-phate phosphatase (PGPase). Although not essential in vitro, HupA was essential in vivo for stomach colonization. In vitro, the remaining UppP activity was carried out by LpxE in addi-tion to its lipid A 1-phosphate phosphatase activity. Both HupA and LpxE have crucial roles in the biosynthesis of several cell wall polysaccharides and thus constitute potential targets for new therapeutic strategies. PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 1 / 24 a1111111111 a1111111111 a1111111111 a1111111111 a1111111111 OPEN ACCESS Citation: Gasiorowski E, Auger R, Tian X, Hicham S, Ecobichon C, Roure S, et al. (2019) HupA, the main undecaprenyl pyrophosphate and phosphatidylglycerol phosphate phosphatase in Helicobacter pylori is essential for colonization of the stomach. PLoS Pathog 15(9): e1007972. https://doi.org/10.1371/journal.ppat.1007972 Editor: Mario F. Feldman, University of Alberta, CANADA Received: March 14, 2019 Accepted: July 9, 2019 Published: September 5, 2019 Copyright: © 2019 Gasiorowski et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the manuscript and its Supporting Information files. Funding: Funding from the National Institutes of Health (NIH; grants AI129940 and AI38576; https:// www.nih.gov/) to M. Stephen Trent is gratefully acknowledged. This study has received funding from the French Government's Investissement d'Avenir program, Laboratoire d'Excellence "Integrative Biology of Emerging Infectious Author summary Helicobacter pylori colonizes the human's gastric mucosa and infects around 50% of the world's population. This pathogen is responsible for chronic gastritis, peptic ulcers and in worst cases leads to gastric cancer. It has been classified as a class I carcinogen by the World Health Organization in 1994. Here, we show that HP0851, renamed HupA, is the major undecaprenyl pyrophosphate (C 55 -PP) phosphatase (UppP) and the major phos-phatidylglycerol phosphate phosphatase (PGPase). This enzyme is also involved in cat-ionic antimicrobial peptide (CAMP) resistance to which H. pylori hupA mutant shows an increased sensitivity (4 fold). This mutant was unable to colonize the stomach in mouse model of infection showing that even if hupA was not essential in vitro, this gene was essential in vivo. Both HupA and LpxE have crucial roles in the biosynthesis of several cell wall polysaccharides and thus constitute potential targets for new therapeutic strategies. + + Introduction The biogenesis of many bacterial cell-envelope polysaccharides (i.e., peptidoglycan (PGN), lipopolysaccharides (LPS), teichoic acids, enterobacterial common antigen) requires the trans-location, across the cytoplasmic membrane, of glycan units that are produced inside the cyto-plasm [1]. Therefore, the hydrophilic sugars must be anchored to a lipid carrier (undecaprenyl phosphate (C 55 -P)), yielding membrane intermediates which are translocated to the outer face of the membrane [2]. In PGN biosynthesis, these intermediates are finally cross-linked by transglycosylase and transpeptidase activities to a nascent acceptor polymer. These polymeri-zation reactions release the lipid carrier in an "inactive" undecaprenyl pyrophosphate form (C 55 -PP) which must be recycled to participate in new rounds of cell-envelope polysaccharides biosynthesis. C 55 -P originates from the dephosphorylation of C 55 -PP, itself arising from either (i) cyto-plasmic de novo synthesis by condensation of eight isopentenyl pyrophosphate (C 5 -PP) mole-cules with one farnesyl pyrophosphate (C 15 -PP) catalyzed by the essential C 55 -PP synthase (UppS) [3] or (ii) recycling [4] when it is released at the periplasmic side of the membrane. Two unrelated families of integral membrane proteins exhibiting C 55 -PP phosphatase (UppP) activity were identified: BacA and members of the PAP2 (type 2 phosphatidic acid phospha-tase) super-family. Escherichia coli cells possess four UppPs: BacA enzyme which accounts for 75% of UppP activity and three PAP2 enzymes (PgpB, YbjG and LpxT) which ensure the remaining activity [5]. The plurality of UppPs as observed in E. coli and Bacillus subtilis [6] seems to be shared by most of the bacteria as suggested by a search for homologues, raising the question of the role of such a multiplicity. The simultaneous inactivation of bacA, ybjG and pgpB is lethal in E. coli whereas any single or double deletions had no effect on bacterial growth. Overexpression of BacA, PgpB or YbjG resulted in bacitracin resistance, and an increase of the UppP activity contained in membrane extracts [7]. Bacitracin is an antibiotic produced by Bacillus licheniformis [8] which strongly binds C 55 -PP, thereby inhibiting its dephosphorylation and leading to an arrest of PGN biosynthesis. When overexpressed, the UppP enzymes likely compete with the bacitracin for C 55 -PP binding, thus favoring its dephosphorylation. LpxT was not able to sustain growth of the triple bacA-ybjG-pgpB mutant and its overexpression did not lead to any bacitracin resistance suggesting that LpxT displays another function. Nevertheless, LpxT was shown to catalyze the transfer of C 55 -PP distal phos-phate group onto lipid A, the lipid moiety of LPS, yielding C 55 -P and a pyrophosphorylated form of lipid A [9]. In addition to its UppP activity, PgpB is involved in phospholipids + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 2 / 24 + + Diseases" (grant n˚ANR-10-LABX-62-IBEID; http:// www.agence-nationale-recherche.fr/ investissements-d-avenir/). This work was supported by the Agence National de la Recherche (ANR; grant n˚ANR-11-BSV3-0002; http://www. agence-nationale-recherche.fr/) and DIM Malinf (grant n˚dim140053; http://www.dim-malinf.org/) to Dominique Mengin-Lecreulx and Ivo G. Boneca. Elise Gasiorowski was supported by a fellowship from the Fondation pour la Recherche Me ´dicale (FRM; fellowship FDT20170436808; https://www. frm.org/en). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist. + + biosynthesis via the hydrolysis of phosphatidylglycerol phosphate (PGP) to form phosphatidyl-glycerol (PG) [10]. In E. coli, PgpA and PgpC are two additional integral membrane enzymes sharing the latter function. It has been shown that the co-inactivation of the three PGP phos-phatases leads to a lethal phenotype [11]. Topology and structural analyses of PAP2 enzymes from E. coli and B. subtilis showed that these enzymes exhibit their active site at the interface between the plasma membrane and the periplasmic space, suggesting they are rather involved in C 55 -PP recycling [6,12,13]. More recently, the structure of BacA from E. coli was also resolved [14,15] showing here again an enzyme with its active site residues accessible from the periplasmic side. Nevertheless, the unique structure of BacA was reminiscent of that of transporters or channels raising the possibility that BacA may have alternate active sites on either side of the membrane and/or may function as a flippase allowing complete recycling of C 55 -P. Helicobacter pylori is a microaerophilic, spiral-shaped, flagellated, Gram-negative bacte-rium that colonizes the human's gastric mucosa [16]. This pathogen is responsible of chronic gastritis and peptic ulcers [17] and is a risk factor for gastric cancer. It has been classified as a class I carcinogen by the World Health Organization in 1994. In contrast to E. coli, H. pylori does not contain a BacA protein but has four PAP2 enzymes: HP0021 (LpxE), HP0350, HP0851 and HP1580 (LpxF). LpxE and LpxF have been shown to be involved in LPS modifica-tions. The lipid A structure of H. pylori is unique and constitutively modified. LpxE is respon-sible for the removal of the lipid A 1-phosphate group that is required for the further addition of a phosphoethanolamine (PE) group at the same position [18]. LpxF is a lipid A 4'-phosphate phosphatase. Both modifications increase the net positive charge of the lipid A, which then confers cationic antimicrobial peptide (CAMP) resistance and escape to the host innate immune system, thereby allowing H. pylori to survive in the gastric mucosa [19]. The aim of this study was to decipher the physiological role of the multiple PAP2 enzymes from H. pylori. We describe that HP0851, renamed HupA, is the main UppP but is also involved in phospho-lipid biosynthesis by catalyzing the dephosphorylation of PGP in PG. In addition, we show that HupA has a role in CAMP resistance and is essential for colonization of the mouse stom-ach. In a global context of increasing resistance to antibiotics, finding new potential therapeu-tic targets is crucial especially against H. pylori, which colonizes half of the world's population and is classified by the World Health Organization as a priority 2 pathogen regarding antibi-otic resistance. A better understanding of essential metabolic pathways, and of the enzymes involved in such processes, could lead to the development of new antibacterials. Results Purification of PAP2 proteins and determination of their UppP activities To characterize the PAP2 enzymes from H. pylori (LpxE, HP0350, HP0851 and LpxF), the cor-responding genes were cloned on the pTrcHis30 expression vector under the control of a strong IPTG-inducible promoter (Table 1). The recombinant N-terminally His-tagged pro-teins were overproduced in E. coli C43(DE3) cells. The integral membrane proteins were extracted from membranes via their solubilization with n-dodecyl-β-D-maltoside (DDM) detergent and the PAP2 proteins were purified by affinity chromatography using Ni 2+ -NTA agarose beads (Materials and Methods). Due to the difficulty in getting high expression levels of these membrane proteins in E. coli, they could not be purified to homogeneity. Nevertheless, LpxE, HP0350 and HP0851 were enriched to a high level as judged from SDS-PAGE analysis (Fig 1A), while LpxF could not be visualized by Coomassie blue staining. However, LpxF was in the purified samples as confirmed by western blot analysis (Fig 1B). We then measured the UppP activities present in these purified solutions. Considering the niche of H. pylori, which + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 3 / 24 + + Table 1. Bacterial strains and plasmids. Strains Genotype Resistance a Reference E. coli DH5α F -endA1 glnV44 thi-1 recA1 relA1 gyrA96 deoR nupG purB20 φ80dlacZΔM15 Δ(lacZYA-argF)U169, hsdR17(r K -m K + ), λ -Life Science Technologies C43(DE3) F -ompT gal dcm hsdS B (r B -m B -)(DE3) Avidis BWPGPTs BW25113 ΔpgpA ΔpgpC ΔpgpB::Cm + pMAKkanpgpB Cm, Kan [6] BWTsbacA BW25113 ΔbacA ΔybjG ΔpgpB::Kan + pMAKbacA Cm, Kan [7] H. pylori HP-1 N6 [20] HP-2 N6 lpxE::Gm Genta This work HP-3 N6 hp0350::Km Kan This work HP-4 N6 lpxF::Km Kan This work HP-13 N6 hupA::Km Kan This work HP-5 N6 pILL2150 Cm This work HP-7 N6 pILL2150 bacA Cm This work HP-8 N6 pILL2150 lpxT Cm This work HP-9 N6 pILL2150 pgpB Cm This work HP-10 N6 pILL2150 ybjG Cm This work HP-14 N6 pILL2150 lpxE Cm This work HP-15 N6 pILL2150 hp0350 Cm This work HP-16 N6 pILL2150 lpxF Cm This work N6 +pILL2157 bacA N6 pILL2157 bacA Cm This work N6 +pILL2157 lpxT N6 pILL2157 lpxT Cm This work N6 +pILL2157 pgpB N6 pILL2157 pgpB Cm This work N6 +pILL2157 ybjG N6 pILL2157 ybjG Cm This work HP-22 X47-2AL [21] HP-50 X47 hupA::Km Kan This work HP-37 N6 hupA::Km pILL2150 lpxE Kan, Cm This work HP-38 N6 hupA::Km pILL2150 hp0350 Kan, Cm This work HP-39 N6 hupA::Km pILL2150 hupA Kan, Cm This work HP-40 N6 hupA::Km pILL2150 lpxF Kan, Cm This work HP-33 N6 hupA::Km pILL2150 Kan, Cm This work HP-49 N6 pgpA::Km Kan This work Plasmids Topo TAΔlpxE:Gm Genta This work Topo TAΔlpxE:Km Kan This work Topo TAΔhp0350: Km Kan This work Topo TAΔhupA:Km Kan This work Topo TAΔlpxF:Km Kan This work pTrcHis30 lpxE Amp This work pTrcHis30 hp0350 Amp This work pTrcHis30 hupA Amp This work pTrcHis30 lpxF Amp This work pTrcHis30 pgpA Amp This work pILL2150 lpxE Cm This work pILL2150 hp0350 Cm This work pILL2150 hupA Cm This work pILL2150 lpxF Cm This work (Continued ) + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 4 / 24 + + ranges from the human stomach with an acidic pH to the epithelial interphase with a neutral pH, we measured enzymatic activities on a large range of pHs (Fig 1C). The uncharacterized HP0350 protein did not catalyze C 55 -PP dephosphorylation even under prolonged incubation time and high protein concentration. LpxE displayed an UppP activity of 900 nmol/min/mg at an optimal pH of 7.4, while HP0851 exhibited a 6.7-fold higher UppP activity of 6039 nmol/min/mg at an optimal pH of 5. LpxE displayed UppP activity in vitro in addition to its role as lipid A 1-phosphate phosphatase [19]. Considering the highest activity of HP0851, this protein may account for a large part of C 55 -P (re)generation in vivo. LpxF was shown to act as a lipid A 4'-phosphate phosphatase [19]. In this study, we also detected a low UppP activity for LpxF (Table 2 and Fig 1C). This activity is unlikely to arise from contaminants since HP0350, which was purified using the same methodology, exhibited no activity as compared to LpxF. HP0851 accounts for more than 90% of the UppP activity To further address the contribution of each PAP2 protein in the global UppP activity in H. pylori, we generated the four corresponding single mutants in H. pylori N6. All four mutants were readily obtained showing that none of these proteins is essential for survival of H. pylori in vitro. We prepared DDM-solubilized membrane extracts from exponentially growing wild-type and mutant cells and we measured the residual UppP activity present in these extracts (Fig 2). The UppP activities present in membranes of hp0350, lpxE and lpxF single mutants and wild-type strain were very similar. In contrast, the UppP activity decreased in hp0851 membranes to about 10% of residual activity as compared to the wild-type. Thus, these data confirmed the major contribution of HP0851 in C 55 -PP recycling in C 55 -P. Only LpxE and HP0851 complement the E. coli conditionally UppP deficient strain The simultaneous inactivation of bacA, pgpB and ybjG is lethal in E. coli. The BWTsbacA strain is a thermosensitive conditional triple mutant (ΔbacA, ΔybjG, ΔpgpB) containing an ectopic copy of bacA on a plasmid whose replication is impaired at 42˚C [7]. This mutant accumulates soluble PGN precursors and lyses after a shift from 30˚C to 42˚C, due to the depletion of the pool of C 55 -P that arrests cell-wall synthesis. The ability of the PAP2 proteins from H. pylori to restore the growth of BWTsbacA at the restrictive temperature was tested using the pTrcHis30-based plasmids previously used for protein purification (Table 3). The hp0350 gene was unable to complement BWTsbacA strain even in the presence of 1 mM IPTG. The Table 1. (Continued) Strains Genotype Resistance a Reference pILL2150 bacA Cm This work pILL2150 lpxT Cm This work pILL2150 pgpB Cm This work pILL2150 ybjG Cm This work pILL2157 bacA Cm This work pILL2157 lpxT Cm This work pILL2157 pgpB Cm This work pILL2157 ybjG Cm This work (a) Genta or Gm, Kan or Km, Cm and Amp: gentamycin, kanamycin, chloramphenicol and ampicillin resistance cassettes, respectively. https://doi.org/10.1371/journal.ppat.1007972.t001 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 5 / 24 + + lpxF gene was also unable to complement in the absence of inducer and was found to be toxic in the presence of IPTG as no growth was observed either at 30˚C or at 42˚C. In contrast, lpxE and hp0851 genes complemented BWTsbacA without the need of inducer, indicating that a basal level of the corresponding proteins allows a supply of C 55 -P that is appropriate for opti-mal growth of E. coli. The overproduction of LpxE and LpxF in E. coli, due to the addition of IPTG, was lethal possibly due: 1) to interference with LPS biosynthesis, since the modifications Fig 1. PAP2 proteins purification and effect of the pH on their UppP activity. The N-terminal His-tagged PAP2 proteins were purified on Ni 2+ -NTA-agarose beads as detailed in Materials and Methods, and 10 μL aliquots of the elution fractions were analyzed by SDS-PAGE. The proteins were revealed either (A) by Coomassie blue staining or (B) by Western blotting using anti�His tag antibody conjugated to the horseradish peroxidase (C) UppP phosphatase activity present in the purified solutions was determined at different pH (from pH 3 to pH 11). LpxE (black), HP0350 (blue), HP0851 (HupA; brown) and LpxF (red) The values are also reported in Table 2. The observed molecular weight of recombinant proteins are consistent with their calculated molecular weight: LpxE (21,2 kDa), HP0350 (24,5 kDa), HupA (25,8 kDa) and LpxF (24,6 kDa). https://doi.org/10.1371/journal.ppat.1007972.g001 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 6 / 24 + + they catalyze do not normally exist in E. coli and likely generate cytotoxicity, and/or 2) to accu-mulation of large amounts of membrane proteins. These complementation assays perfectly corroborate the previous biochemical data, further demonstrating that LpxE and HP0851 act as the major and perhaps the sole C 55 -PP phosphatases in H. pylori. Hence, we renamed HP0851 to HupA (Helicobacter UppP and PGPase A). The simultaneous inactivation of lpxE and hupA is lethal To address whether LpxE and HupA are the only C 55 -PP phosphatases in H. pylori, we attempted to construct a lpxE/hupA double mutant. However, we failed to generate this strain suggesting that co-inactivation of both genes is lethal. We then performed transformation effi-ciency assays to test the capacity of each PAP2 from H. pylori to complement this apparent lethality. We generated four strains deleted for hupA and carrying a copy of one PAP2 encod-ing gene under the control of an IPTG-inducible promoter on the pILL2150 vector. We then transformed these cells with the Topo TAΔlpxE plasmid in order to replace lpxE by a gentamy-cin resistance cassette. The transformed H. pylori population was diluted and spread on nor-mal (total number of bacteria) or selective (ΔlpxE recombinants) plates to measure the transformation efficiency expressed in cfu/μg of Topo TAΔlpxE plasmid (Table 4). LpxF and HP0350 were unable to complement the lpxE/hupA double mutant as no recombinant was obtained even in the presence of IPTG. In contrast, LpxE and HupA complemented the double mutant in the presence of IPTG. These data excluded LpxF and HP0350 as bona fide UppP and confirm that only LpxE and HupA are major UppPs in H. pylori. HupA is involved in resistance to CAMPs H. pylori infects the stomach and persists in the mucosa during years due to the expression of multiple virulence factors. Persistence also requires a resistance towards CAMPs, which are secreted by the host [22]. To evaluate the involvement of PAP2 proteins in CAMPs resistance, Table 2. UppP activity of H. pylori PAP2 enzymes. UppP specific activity (nmol/min/mg) pH LpxE HP0350 HP0851 (HupA) LpxF 3 10 ND 131 30.8 4 13.8 ND 1227 97.2 5 21.3 ND 6039 130.3 6 291.3 ND 4616 97.5 7 671.3 ND 3755 91.8 7 735 ND 4157 84.8 7.4 900 ND 3493 71.5 8 492.5 ND 2528 48.8 9 285 ND 1180 28.7 9 76.3 ND 974 20.5 10 0 ND 159 9 11 8.8 ND 19 4.2 The enzymatic activity was measured in the presence of 50 μM of [ 14 C]C 55 -PP substrate and an appropriate amount of enzyme to obtain less than 30% of hydrolysis. Buffering of the reaction mixture was obtained with sodium acetate (pH 3-7), Tris-HCl (pH 7-9) or sodium carbonate (pH 9-11). The C 55 -P product and the substrate were separated by TLC and further quantified by radioactivity counting. Values represent the mean of at least three individual experiments (the S.D. being within 15% of the presented values). ND, no detectable activity. https://doi.org/10.1371/journal.ppat.1007972.t002 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 7 / 24 + + we used polymyxin B as a surrogate for CAMPs [23]. The modifications generated by LpxE and LpxF through their lipid A 1-and 4'-phosphate phosphatase activities promote resistance to different CAMPs and they further confer host innate immune system evasion [19]. We con-firmed the increased sensitivity already described in [19] for the lpxE and lpxF mutants (32-and 128-fold, respectively, Table 5). The hp0350 mutant did not show any increase of poly-myxin B sensitivity, while the sensitivity of hupA mutant increased by four-fold as compared Fig 2. UppP activity in membranes of H. pylori. The UppP activity of the wild-type and the four single mutants of H. pylori N6 strain was measured and normalized by the quantity of proteins in each membrane extracts. The relative activities as compared to the wild-type strain membrane extracts are indicated. Each value is the mean of three independent measurements. https://doi.org/10.1371/journal.ppat.1007972.g002 Table 3. Functional complementation of E. coli BWTsbacA conditional strain by PAP2 encoding genes from H. pylori. E. coli BWTsbacA CFU/mL 30˚C 42˚C 30˚C +IPTG 1mM 42˚C +IPTG 1mM -782 0 876 1 +pTrc His30 lpxE 229 222 0 0 +pTrc His30 hp0350 396 2 354 0 +pTrc His30 hupA 265 219 186 172 +pTrc His30 lpxF 180 0 0 0 The E. coli thermosensitive strain was transformed with the pTrcHis30-based plasmids and aliquots were plated onto two ampicillin-containing 2YT agar plates incubated at either 30˚C or 42˚C. The CFU were counted after 24 h incubation. https://doi.org/10.1371/journal.ppat.1007972.t003 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 8 / 24 + + to the wild-type strain. The polymyxin B sensitivity of hupA mutant was fully restored upon complementation with an ectopic copy of hupA gene. HupA has no effect on lipid A structure As already mentioned, LpxE and LpxF modify lipid A structure in H. pylori. We then investi-gated whether the four-fold decrease in polymyxin B resistance of hupA mutant was a conse-quence of an altered lipid A structure. LpxE exhibits UppP activity while also acting as a lipid A 1-phosphate phosphatase. We hypothesized that, in the absence of HupA, LpxE has to cope with this very low UppP activity. This hypothesis predicted the presence of a mixture of lipid A species in hupA mutant with lipid A 1-phosphate together with the usual lipid A 1-PE. The resulting rise in net negative charges at the outermost surface of the bacterium could then account for the increased sensitivity towards polymyxin B. To test this hypothesis, the lipid A from wild-type, hupA mutant and hupA mutant trans-formed with pILL2150 hupA plasmid were extracted and analyzed by mass spectrometry. As shown in Fig 3A-3C, the main form of lipid A present in wild-type strain was the tetra-acyl-ated lipid A with a PE group at position 1 and no phosphate group at position 4', as described [19]. Two additional minor species were observed, a penta-acylated lipid A with PE at position 1 and no phosphate at position 4' and a hexa-acylated lipid A with PE at position 1 and with phosphate at position 4'. In hupA mutant and its complemented derivative, the lipid A profiles were very similar to that of the wild-type strain. We then concluded that the moderate decrease in polymyxin B resistance in hupA strain was independent of the lipid A structure. In parallel, we confirmed the roles of LpxE and LpxF (Fig 3E and 3F) while we show that HP0350 is not involved in lipid A modifications (Fig 3D). Table 4. Complementation of lpxE/hupA double mutant with an ectopic copy of H. pylori PAP2 encoding genes. Helicobacter pylori N6 hupA::Km Transformation rate (transformants/cfu/μg TopoTAΔlpxE) -ITPG +IPTG (1mM) +pILL2150 empty 0 0 +pILL2150 lpxE 0 1.44E-05 +pILL2150 hp0350 0 0 +pILL2150 hupA 0 1.16E-05 +pILL2150 lpxF 0 0 Quantification of lpxE gene inactivation in ΔhupA single mutant transformed with plasmids expressing one PAP2 from H. pylori. The transformation rates were measured in the presence and in the absence of IPTG. https://doi.org/10.1371/journal.ppat.1007972.t004 Table 5. Minimal Inhibitory Concentrations (MIC) of polymyxin B of H. pylori strains. Helicobacter pylori N6 Polymyxin B Fold change vs WT strain WT 2048 -lpxE::Gm 64 32 lpxF::Km 16 128 hp0350::Km 2048 1 hupA::Km 512 4 hupA::Km + pILL2157 hupA 2048 1 MICs are reported as μg/ml and are the average of three experiments. https://doi.org/10.1371/journal.ppat.1007972.t005 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 9 / 24 + + HupA is essential for stomach colonization The maximal UppP activity of LpxE was reached at pH 7.4 (Fig 1) and all complementation assays were performed at neutral pH. H. pylori resumes growth in acidic media only after Fig 3. Mass spectrometry analysis of lipid A. Lipid A was isolated from wild-type (A), hupA (B), hp0350 (D), lpxE (E) and lpxF (F) mutant and complemented cells (C) in strain N6 and analyzed by MALDI-TOF mass spectrometry in the negative-ion mode. The corresponding lipid A structure of the most abundant species is depicted for each analyzed strain. https://doi.org/10.1371/journal.ppat.1007972.g003 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 10 / 24 + + buffering the environment to a pH above 6 thanks to the urease enzyme [24], which precludes any assays at acidic pH. However, in mouse colonization, the natural environment of H. pylori is mainly acidic, ranging from 2 in the lumen to 5-6 in the mucus layer. But at low pH, we noticed that the in vitro activity of LpxE drastically decreased by 43-fold (from 900 to 21 nmol/ min/mg), while that of HupA increased by 1.7-fold (from 3493 to 6039 nmol/min/mg) (Table 2). Therefore, LpxE may be unable to fully complement the reduced UppP activity in the hupA mutant in an acidic environment. This issue was then addressed by mouse coloniza-tion assays. The ΔhupA mutation was first introduced into the mouse-adapted strain H pylori X47 and the kinetics of colonization of wild-type and hupA strains was followed by sacrificing mice after 1, 4, 7, 15 and 32 days after bacterial inoculation. Seven mice per group were sacri-ficed in two independent experiments and Fig 4 illustrates the CFU/g of stomach in a time course. The hupA mutant was unable to colonize the stomach neither at early or later stages after inoculation, showing therefore that HupA is absolutely essential for viability of H. pylori in vivo, in sharp contrast to in vitro where neither of the four PAP2 mutants was affected in growth (Fig 5). HupA has major involvement in phospholipid biosynthesis HupA is an orthologue of PgpB from E. coli, which is a bifunctional enzyme acting as a minor UppP and being largely involved in phospholipid biosynthesis through the dephosphorylation of PGP in PG. In E. coli, the latter activity is also provided by two other integral membrane proteins named PgpA and PgpC, which are unrelated to the PAP2 superfamily [10,11,25]. One putative gene encoding a PgpA homolog was identified in the genome of H. pylori, hp0737, while no PgpC encoding gene was found. The hp0737 was cloned on a pTrcHis30 vector and the N-terminal-His tagged protein was expressed in E. coli C43(DE3) cells and purified from membranes to high homogeneity in DDM micelles (S1A Fig). In contrast to the PAP2 enzymes, PgpA enzymes are Mg 2+ -dependent, which was confirmed for HP0737 that pre-sented an optimal Mg 2+ concentration of 6 mM (S1B Fig). Its PGP phosphatase activity was then fully confirmed in vitro with a specific activity of 1138 ± 174 nmol/min/mg. Noticeably, HP0737 did not display any significant UppP activity and the plasmid carrying hp0737 gene did not restore the growth of E. coli BWTsbacA strain at 42˚C. Considering the activity of HP0737 both in vivo and in vitro, this protein was renamed PgpA. The pgpA null mutant was readily generated by replacement with a resistance cassette (Table 1). These disagree with a previous study in which pgpA was described as an essential gene [26]. Our data further sug-gested the existence of one or several other PGP phosphatases. We then assessed whether the PAP2 proteins from H. pylori are also involved in the synthe-sis of PG. DDM-solubilized membrane extracts obtained from wild-type and mutant cells (lpxE, hp0350, hupA, lpxF and pgpA) were assayed for their PGP phosphatase activity. This activity was measured in the absence and presence of 6 mM Mg 2+ (Fig 6A). A drastic decrease of the PGP phosphatase activity in the hupA mutant as compared to the wild-type strain was observed, while the other mutants displayed similar activities as the control. Under these con-ditions, HupA accounted for 98% of the PGP phosphatase activity in the membrane of H. pylori. To further confirm the involvement of HupA in the biosynthesis of PG, we also performed complementation assays using the conditional BWPGPTs E. coli strain and the different pTrcHis30-based plasmids. Like the BWTsbacA strain, the BWPGPTs is a thermosensitive tri-ple mutant (ΔpgpA, ΔpgpB, ΔpgpC) containing an ectopic copy of pgpB on a plasmid whose replication is impaired at 42˚C. LpxE, HupA and PgpA fully restored the growth at 42˚C of this thermosensitive strain without IPTG, while LpxF and HP0350 were unable to complement + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 11 / 24 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 12 / 24 + + (Table 6). Thus, LpxE, HupA and PgpA carry enough of PGP phosphatase activity to support growth of the BWPGPTs strain. The apparent PGP phosphatase activity of HupA and LpxE in vivo could explain why pgpA inactivation did not lead to a lethal phenotype. To further decipher the role of PAP2 enzymes in the biosynthesis of PG in H. pylori, we tried to generate mutant strains inactivated for hupA and pgpA but we failed, while a double mutant lpxE/pgpA was readily obtained. These results suggest that HupA and PgpA are the only PGP phosphatases able to sustain growth of H. pylori in vitro. Broad substrate specificity of H. pylori PAP2 enzymes Since the HupA and LpxE accept very dissimilar lipidic substrates in vivo, we further analyzed the substrate specificity of PAP2 enzymes in vitro (Fig 6B). Again, HP0350 had no visible phosphatase activity on any of the tested substrates. HupA was the most active phosphatase using all substrates tested except phosphatidic acid and the highest activity was by far obtained with the C 15 -PP substrate. Structural and topology analyses of integral membrane PAP2 enzymes revealed that their active site residues are oriented towards the periplasm, which is likely the same for HupA. Small molecules such as C 15 -PP are never exposed at the periplasmic site, therefore the C 15 -PP should not be a natural substrate in vivo. Nevertheless, this analysis demonstrates that HupA accepts a large range of pyro-and monophosphate substrates, in par-ticular C 55 -PP and PGP. Noticeably, HupA and PgpA displayed very similar activities towards Fig 4. In vivo colonization of the hp0851 mutant in strain X47 at days 1, 4, 7, 15 and 32 using OF1 mice. OF1 mice were infected orogastrically with the indicated strains at 2 × 10 8 bacteria per mouse. Colonization rates were determined after 1 (A), 4 (B), 7 (C) 15 (D) and 32 (E) days by enumeration of colony forming units per gram (CFU/g) of stomach. Circles and square represent individual mice while mean colonization levels are illustrated by horizontal bars. Circles and square located on the x-axis represent mice with no colonization. The single hp0851 mutant showed a statistically significant colonization defect at day 4, 7, 15 and 32 when compared to wild-type as indicated by a red asterisk ( � p<0.05; ��� p<0,001). Data from two independent cohorts of mice were combined to increase significance and robustness of our analysis. https://doi.org/10.1371/journal.ppat.1007972.g004 Fig 5. Growth curves of Helicobacter pylori N6. WT (black) and the four single mutants lpxE::Km (purple), hp0350::Km (blue), hupA::Km (brown) and lpxF::Km (red) were grown with classic conditions previously described in Bacterial strains, plasmids and bacterial growth conditions section. https://doi.org/10.1371/journal.ppat.1007972.g005 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 13 / 24 + + PGP. LpxE had similar substrate specificity as HupA, except for C 5 -PP, and much lower activi-ties were found. In contrast, LpxF only showed very low activity towards C 15 -PP and PGP. Since HupA showed broad substrate specificity, we wondered whether the polymyxin B sensitivity could be related to a general membrane permeability defect of the hupA mutant. We measured the MIC of the wild-type strain and its four PAP2 mutants to four different Fig 6. PGP phosphatase activities in membranes of H. pylori. The PGP phosphatase activity in presence or absence of MgCl 2 of the wild-type and five single mutants of H. pylori N6 strain was measured and normalized by the quantity of proteins in membrane extracts (A). Ratios were then normalized by the wild-type strain. (B) The phosphatase specific activity of the recombinant proteins towards various substrates. https://doi.org/10.1371/journal.ppat.1007972.g006 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 14 / 24 + + antimicrobial, one clinically relevant CAMP, colistin, and three large antibiotics, vancomycin, teicoplanin and daptomycin that do not cross the outer membrane. Table 7 illustrates the MICs to the four antimicrobials. Absence of HupA, LpxE and LpxF affected specifically resistance to CAMPs without affect-ing the resistance to large antimicrobials suggesting that these three PAP2 only affect overall membrane charge and not permeability. Given the specific effect on CAMPs resistance and the broad substrate specificity of HupA, we next analyzed the phospholipid composition of the hupA mutant. As illustrated in S2 Fig, the wild-type N6 and its four PAP2 mutants showed a similar phospholipid profile. PgpB, YbjG and BacA from E. coli are functional in H. pylori Since, HupA and LpxE are functional in E. coli, we tested if the PAP2/BacA enzymes from E. coli are also functional in H. pylori. We performed complementation assays as previously described by measuring the transformation rate of lpxE inactivation in hupA mutant contain-ing different plasmids encoding PAP2/BacA from E. coli. We then generated eight strains deleted for hupA and carrying a plasmid (pILL2150 or pILL2157 vector) bearing one of the four E. coli genes (bacA, pbpB, ybjG and lpxT) placed under the control of an IPTG-inducible promoter. The transgene is under control of a promoter from H. pylori in pILL2157, while it is under control of an E. coli promoter in pILL2150. Consequently, the transgenes in pILL2157 are likely more expressed in H. pylori as compared to those in pILL2150. Moreover, the pILL2157 promoter was previously found to be leaky in contrast to that of pILL2150 vector [27]. The transformation rates are summarized in Table 8. As expected, LpxT was unable to complement the lack of UppP activity in H. pylori whatever the expression level. At a moderate expression level (i.e. in pILL2150), only PgpB was able to complement the double lpxE/hupA mutant (1.08 × 10 -5 transformants/cfu/μg DNA topoTAΔlpxE) in the presence of IPTG. In contrast, at a higher level of expression (i.e. in pILL2157), BacA, PgpB and YbjG were able to complement the double mutant both in the presence and in the absence of inducer. Therefore, even though BacA does not belong to the PAP2 super-family, and H. pylori does not possess UppP of the BacA type, this enzyme was functional in H. pylori. Discussion The recycling of C 55 -PP is an essential step for the biosynthesis of many polysaccharides such as PGN, LPS O-antigen or teichoic acid [4]. This pathway was only studied in the Gram-Table 6. Complementation of E. coli BWPGPTs conditional strain by PAP2 and PgpA encoding genes from H. pylori. E. coli BWPGPTs CFU/mL 30˚C 42˚C -211 1 +pTrc His30 lpxE 97 140 +pTrc His30 hp0350 152 0 +pTrc His30 hupA 289 279 +pTrc His30 lpxF 75 0 +pTrc His30 pgpA 652 844 The E. coli thermosensitive strain was transformed with the pTrcHis30-based plasmids and aliquots were plated onto two ampicillin-containing 2YT agar plates incubated at either 30˚C or 42˚C. The CFU were counted after 24 h incubation. https://doi.org/10.1371/journal.ppat.1007972.t006 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 15 / 24 + + positive bacterium B. subtilis [6] and more intensively in the Gram-negative E. coli. Two enzymes from H. pylori belonging to the PAP2 super-family, LpxE and LpxF, were previously demonstrated to have critical functions through the dephosphorylation of the lipid A moiety from LPS. The other two members of the PAP2 super-family, HupA and HP0350, were not characterized. HupA and HP0350 are orthologues of PgpB from E. coli, which was described as a dual functional enzyme exhibiting both C 55 -PP and PGP phosphatase activities, thus involved in both cell-envelope polysaccharides and phospholipids biosynthesis [11]. Here, we demonstrated, by in vitro and in vivo analyses, that HupA constitutes the major C 55 -PP phosphatase in H. pylori, being responsible for 90% of the total UppP activity present in the membranes. Interestingly, HupA presented an optimal pH of 5 for its enzymatic activity, which is close to the pH that H. pylori cells face in the human stomach. To further confirm this function, we showed that HupA was also fully functional in E. coli by complementing a PAP2/ BacA conditionally deficient strain. The deletion of hupA gene was not lethal suggesting that one or several other C 55 -PP phosphatases exist in H. pylori. Among the three other PAP2, we showed that LpxE and LpxF exhibited UppP activity with an optimal pH of 7.4 and 5, respec-tively. However, only LpxE was also capable of complementing the conditional E. coli strain. The inactivation of both lpxE and hupA genes was found to be lethal, which was further Table 7. Minimal Inhibitory Concentrations (MIC) of H. pylori strains. Helicobacter pylori N6 Colistin Vancomycin Teicoplanin Daptomycin WT R R R R lpxE::Gm 12 R R R lpxF::Km 1 R R R hp0350::Km R R R R hupA::Km 64 R R R MICs are reported as μg/ml or R: Resistant. R indicates above the highest concentration on the E-test, i.e. MIC >256 μg/mL. https://doi.org/10.1371/journal.ppat.1007972.t007 Table 8. Complementation of lpxE/hupA double mutant with an ectopic copy of E. coli PAP2/BacA encoding genes. Helicobacter pylori N6 hupA::Km Transformation rate (transformants/cfu/μg TopoTAΔlpxE) -ITPG +IPTG (1mM) +pILL2150 empty 0 0 +pILL2150 bacA 0 0 +pILL2150 lpxT 0 0 +pILL2150 pgpB 0 1.08E-05 +pILL2150 ybjG 0 0 +pILL2157 bacA 3.85E-05 5.25E-05 +pILL2157 lpxT +pILL2157 pgpB 1.51E-05 2.07E-05 +pILL21570 ybjG 5.86E-06 1.06E-06 Quantification of lpxE gene inactivation in ΔhupA single mutant transformed with plasmids expressing one PAP2/ BacA from E. coli. Two types of expression vectors were used: pILL2150 and pILL2157. The pILL2150 vector possesses an E. coli promoter and leads to low levels of expression in H. pylori, while pILL2157 displays a H. pylori promoter yielding high levels of expression in H. pylori. The transformation rates were measured in the presence and in the absence of IPTG. https://doi.org/10.1371/journal.ppat.1007972.t008 + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 16 / 24 + + confirmed by complementation assays of the double mutant by ectopic copies of lpxE or hupA. All these data confirmed that HupA and LpxE are the only physiologically relevant UppP in H. pylori. In addition, we demonstrated that HupA plays critical roles in vivo. Indeed, HupA appeared important for the resistance towards CAMPs by a yet uncharacterized process. In this study, we excluded potential alteration of the structure of lipid A. More importantly, HupA was shown to be essential for stomach colonization. Indeed, the PAP2 super-family members all have their active site exposed to the periplasmic space where the pH is determined by the envi-ronmental pH. We then hypothesized, based on in vitro data, that LpxE enzyme might not be sufficiently active at acidic to sustain growth in the absence of HupA. Indeed, during colo-nization, LpxE is unlikely to function properly since it was poorly active at pH 5 in vitro. In fact, apart from the niche that is in contact with the epithelial cells where there exists a neutral pH, H. pylori cells are always exposed to an acidic environment. In these conditions, LpxE will likely be unable to provide the UppP activity required in absence of HupA enzyme. The first step for stomach colonization by H. pylori is dependent on its motility and its ure-ase enzyme to buffer its cytoplasm [24]. H. pylori escapes the lumen towards the mucus layer to reach a more favorable environment with a higher pH. Therefore, we cannot exclude a rele-vant physiological role of LpxE in C 55 -PP dephosphorylation after the first step of colonization, once H. pylori has reached the mucus layer and the epithelial surface. Our previous work on LpxE showed that LpxE is needed for long-term colonization. However, this is likely due to its role as lipid A 1-phosphate phosphatase and escape to TLR4 signaling rather than to its UppP activity since the mutant was able to colonize TLR4 KO mice [19]. This study also highlighted the dual function of HupA, which has also a major involvement in the biosynthesis of phospholipids through the synthesis of PG from PGP. By sequence homology, only one additional putative PGP phosphatase was found in H. pylori, i.e. HP0737, which is homologous to E. coli PgpA. A global transposon analysis performed on H. pylori reported hp0737 as an essential gene [26]. However, we were able to delete hp0737 gene by resistance cassette replacement. HP0737 could then account for the residual PGP phosphatase activity in H. pylori hupA null mutant. In E. coli, three PGP phosphatases were described, PgpA, PgpB and PgpC and only a triple mutant is lethal [11]. Even if the composition of phos-pholipids differs between E. coli and H. pylori, i.e. PG represents 25% and 12.5% of the total phospholipids, respectively [28,29], we can expect that the presence of PG is also essential in H. pylori, especially because PG is the precursor of another important phospholipid, the cardi-olipin. A pgpA/hupA double mutant is lethal and confirms the importance of PG in H. pylori. Members of the PgpA-family have a predicted cytoplasmic active site while PAP2-like enzymes have a periplasmic oriented active site. These results suggest that PGP is accessible to dephos-phorylation on both sides of the cytoplasmic membrane similarly to E. coli. Thus, HupA and PgpA are the only two physiologically relevant PGP phosphatases in H. pylori despite the weak PGP phosphatase activity of LpxE. The involvement of HupA in phospholipid biosynthesis may explain the decrease of resis-tance to polymyxin B and colistin of the corresponding mutant. Indeed, these cationic peptides form pores in the cytoplasmic membrane leading to cytoplasmic leakage. Therefore, if the composition of the plasma membrane differs in the hupA mutant as compared to the wild-type strain, particularly with a possible accumulation of PGP, the membrane net negative charge might increase, favoring the binding of CAMPs, which could potentiate their capacity to insert within the membrane. However, our analysis of phospholipid composition of the wild-type N6 and its four PAP2 mutants showed similar phospholipid composition. Although TLC analysis is mainly qualitative, these results suggest that changes in membrane charge are + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 17 / 24 + + unlikely to be due to an accumulation of PGP and suggest that accumulation of C55-PP might contribute to the mild increased sensitivity of the hupA mutant to CAMPs. LpxE and HupA have similar broad substrate specificities although LpxE exhibits a much weaker activity. In contrast, LpxF has a very narrow substrate specificity and, so far, only cata-lyzes the dephosphorylation of the lipid A. It would be interesting to study the molecular basis of such distinct substrate specificity. The low sequence conservation among the membrane PAP2 proteins precludes in silico modelling studies using PgpB and BsPgpB. Insights into sub-strate specificity will require 3D structures of HupA, LpxE and LpxF with their substrates. In this report, we described HupA as the main C 55 -PP and PGP phosphatase in H. pylori. This protein was also essential for colonization, likely due to its dual functionality and its cen-tral role in several lipid biosynthetic pathways, suggesting that HupA is the sole enzyme capa-ble to support C 55 -PP recycling and PG synthesis in its natural niche. Hence, HupA, as well as LpxE and LpxF, constitute bona fide new targets for innovative therapeutic strategies against H. pylori, which is becoming increasingly resistant to the existing antibiotic arsenal. Materials and Methods Ethics Statement Animal experiments were done according to European (Directive 2010/63 EU) and French regulation (De ´cret 2013-118) under the authorized protocol CETEA 2014-072 reviewed by the Institut Pasteur Ethical Committee (registered as number 89 with the French Ministry of Research). The experimental protocol was also approved by the French Ministry of Research under the number APAFIS#11694-2017100510327765 v2. Bacterial strains, plasmids and bacterial growth conditions The bacterial strains and plasmids used in the study are summarized in Table 1. Precultures of H. pylori were started from glycerol stocks routinely stored at -80˚C, plated onto 10% horse blood agar medium supplemented with an antibiotic-antifungal mix [19] and incubated at 37˚C for 24 h in a microaerobic atmosphere (6% O 2 , 10% CO 2 , 84% N 2 ). The glycerol storage media is composed of 25% glycerol, 38% Brain Heart Infusion liquid (BHI) (Oxoid) and 37% sterilized water. Amplification of the preculture was performed in the same conditions as pre-cultures in new plates at 37˚C for 24 h in a microaerobic atmosphere. Liquid precultures were started from amplification plates and inoculated into BHI (Oxoid) supplemented with 10% fetal bovine serum (FBS) incubated at 37˚C overnight in a microaerobic atmosphere. Liquid cultures of H. pylori were started from overnight liquid culture and inoculated into BHI (Oxoid) supplemented with 10% fetal bovine serum. In general, liquid cultures of H. pylori were grown to an OD 600nm of ~1.0 at 37˚C under microaerobic conditions with shaking. Oth-erwise indicated, E. coli was routinely grown at 37˚C in 2YT broth using standard conditions. A non-polar kanamycin cassette was digested out of plasmid pUC18-Km2 [30] using BamHI and KpnI and ligated into the PCR products of the 5'and 3' flanking regions of genes lpxE, hp0350, hupA, lpxF and pgpA using standard cloning techniques. The oligonucleotides used for the PCR amplification are described in S1 Table. The generated plasmids, TopoTA ΔlpxE:kan, TopoTA Δhp0350:kan, TopoTA ΔhupA:kan, TopoTA ΔlpxF:kan and TopoTA ΔpgpA:kan were used to create the corresponding null mutants in H. pylori N6 and/or X47 by natural transformation. Similarly, a non-polar gentamycin cassette was digested out of plasmid pUC18-Gm [31] using BamHI and KpnI to generate TopoTA ΔlpxE:Gm. For the expression of PAP2, BacA and PgpA encoding genes from E. coli or H. pylori, the genes were amplified by PCR using appropriate primers (S1 Table) and cloned into the + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 18 / 24 + + pILL2150 or pILL2157 vectors (for expression in H. pylori) or in pTrcHis30 vector (for expres-sion in E. coli). Expression and purification of the PAP2 and PgpA proteins from H. pylori E. coli C43(DE3) cells carrying pTrcHis30-based plasmids were used for the overproduction of N-terminal His 6 -tagged proteins. Cells were grown in 1 liter 2YT-ampicillin at 37˚C until the A 600nm reached 0.9, when the expression was induced by the addition of 1 mM IPTG and the growth was continued for 3 h at 37˚C. Cells were harvested by centrifugation at 4˚C for 20 min at 4000 × g, were washed and finally resuspended in buffer A (20 mM Tris-HCl pH 7.4, 400 mM NaCl, 10% glycerol) before disruption by sonication with a Vibracell 72412 sonicator (Bioblock). The suspension was centrifuged at 4˚C for 1 h at 100,000 × g to harvest the mem-branes, which were washed three times in buffer A. The membranes were finally resuspended in buffer A supplemented with 2% DDM for solubilization at 4˚C for 2 h with gentle agitation. Solubilized membranes were loaded on nickel-nitrilotriacetate agarose (Ni 2+ -NTA-agarose, Qiagen) equilibrated in buffer A supplemented with 0.2% DDM and 10 mM imidazole. The column was washed with increasing imidazole concentration using the same buffer and the elution was performed with 2 ml of buffer A supplemented with 0.2% DDM and 200 mM imidazole. Desalting of samples was carried out using PD-10 desalting columns (GE Health-care) and buffer A supplemented with 0.1% DDM. Protein concentrations were determined with the QuantiProBCA assay kit (Sigma) or by densitometry analysis of the gel when appropriate. H. pylori membrane extracts preparation H. pylori wild-type and single mutant strains were grown at 37˚C in BHI medium (200 ml cul-ture) up to exponential phase. Cell free extracts, membrane free cytosol, and washed mem-branes were prepared as previously described [22]. Cells were harvested by centrifugation, washed and finally resuspended in 20 mM Tris-HCl, pH 7.4, 200 mM NaCl (buffer B). After disruption by sonication, membranes were pelleted by centrifugation at 177 420 × g and resus-pended in buffer B supplemented with 2% DDM for solubilization during 1.5 h in the cold. The solubilized proteins were recovered by centrifugation at 177 420 × g and conserved at -20˚C before activity measurement. H. pylori membrane phospholipids extraction and staining H. pylori wild-type and four single mutant strains were grown at 37˚C in BHI medium (50 ml culture) up to exponential phase. Lipid extraction was performed using a new protocol (Nozeret K et al. manuscript submitted). For thin-layer chromatography (TLC) analysis of phospholipids, the dried lipid extracts and controls were dissolved respectively in 500μl and 350μl of chloro-form. 10μl of the solution was spotted onto a TLC silica gel 60 plate. The TLC plate was devel-oped in tanks equilibrated with dichloromethane-methanol-water (65:28:4 [vol/vol]). After drying the plate, phospholipids were visualized with molybdenum blue reagent (Sigma). C 55 -PP and PGP phosphatase assays The C 55 -PP and PGP phosphatase assays were carried out in a 10 μl reaction mixture containing 20 mM Tris-HCl, pH 7.4, 10 mM β-mercaptoethanol, 150 mM NaCl, 0.2% DDM, 50 μM [ 14 C] C 55 -PP or 50 μM [ 14 C]PGP (900 Bq) and enzyme. MgCl 2 was added at 6 mM in the reaction mixture when PgpA activity was measured. Appropriate dilutions of purified phosphatases, or of membrane extracts, were used to achieve less than 30% substrate hydrolysis. The reaction + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 19 / 24 + + mixture was incubated at 37˚C for 10 to 30 min and the reaction was stopped by freezing in liq-uid nitrogen. The substrates and products were then separated and quantified by thin layer chromatography (TLC) analysis, as previously described for C 55 -PP [5] and PGP [11] hydroly-sis. When the phosphatase activity was investigated at various pH values, buffering was achieved in sodium acetate (pH 3-7), Tris-HCl (pH 7-9) or sodium carbonate buffer (pH 9-11). The phosphatase activity towards other non-radiolabeled substrates: C 5 -PP, C 15 -PP, diacyl (C8) glycerol-PP (DGPP) and phosphatidic acid (PA), was determined by measuring the amount of released inorganic phosphate during catalysis. The reaction mixture was as described above with 50 μM substrate in a final volume of 50 μl. After 10 min of incubation at 37˚C, the reaction was stopped by the addition of 100 μl of Malachite green solution (Biomol green, Enzo Life Sciences), and the released phosphate was quantified by measurement of the absorbance at 620 nm. E. coli functional complementation The E. coli thermosensitive strains BWTsbacA and BWPGPTs, carrying multiple chromo-somal gene deletions and harboring a bacA-or pgpB-expressing plasmid, respectively, whose replication is impaired at 42˚C, have been previously described [7]. These strains were trans-formed by the pTrcHis30-based plasmids encoding the different H. pylori PAP2 and PgpA encoding genes. Isolated transformants were subcultured at 30˚C in liquid 2YT medium sup-plemented with 100 μg/ml ampicillin and, when the absorbance of the culture reached 0.5, the cell suspension was diluted to 10 -5 in 2YT medium and 100 μl aliquots were plated onto two ampicillin-containing 2YT agar plates which were incubated at either 30˚C or 42˚C for 24 h. The colony forming units (CFU) were numerated on each plate and the functional comple-mentation of the thermosensitive mutants was evaluated by the capacity of the transformants to equally grow at both temperatures. Transformation rate Precultures of H. pylori were started from glycerol stocks routinely stored at -80˚C, plated onto 10% horse blood agar medium and incubated at 37˚C for 24 h in a microaerobic atmosphere (6% O 2 , 10% CO 2 , 84% N 2 ). Amplification of the pre-culture was performed in the same con-ditions such as pre-cultures in new plates at 37˚C for 24 h in a microaerobic atmosphere. 50 μl of suspension in BHI at OD 600nm = 20 were made until the amplification plate and mixed with 10 ng of Topo TAΔlpxE plasmid. The whole mixture was put on a non-selective plate onto 10% horse blood agar medium and incubated at 37˚C for 24 h in a microaerobic atmosphere. The transformation spot was then diluted (10 -1 to 10 -8 ). 50 μl of the non-diluted suspension and 10 μl of the 10 -1 to 10 -4 dilutions were spread on 10% horse blood agar medium supple-mented with chloramphenicol (4 μg/ml), kanamycin (20 μg/ml) and gentamycin (5 μg/ml) ± IPTG 1mM to estimate the number of transformants. The 10 -5 to 10 -8 dilutions were spread on non-selective plates containing 10% horse blood agar medium supplemented with chlor-amphenicol (4 μg/ml), kanamycin (20 μg/ml) ± IPTG 1mM to estimate the total number of bacteria. The CFU of all plates incubated at 37˚C for 5 days in a microaerobic atmosphere were enumerated. The transformation rate was expressed by the number of transformants/ total cfu/μg of DNA TopoTAΔlpxE. Determination of Minimum Inhibitory Concentration (MIC) of polymyxin B Strains were grown routinely on amplification plates. Two ml of suspension in 0.9% NaCl at OD 600nm = 0.75 were made from the amplification plates and spread by inundation onto Muel-ler Hinton medium (Difco) supplemented with 10% of FBS and 2,3,5-triphenyltetrazolium + + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 20 / 24 + + chloride (TTC, Sigma) (40 μg/ml). Polymyxin B was diluted by serial dilutions of two (16384 μg/ml down to 0.5 μg/ml). Once the square plates with bacterial lawns were dried, 10 μl of each dilution of polymyxin B was dropped on and allowed to dry. All plates were then incu-bated at 37˚C for 3 days in a microaerobic atmosphere. TTC is a non-toxic dye which colors in red the alive bacteria. MICs were determined as the lowest concentration of polymyxin B lead-ing to a clear halo of inhibition. Determination of Minimum Inhibitory Concentration (MIC) by Etest Strains were grown routinely on amplification plates. Two ml of suspension in 0.9% NaCl at OD 600nm = 0.75 were made from the amplification plates and spread by inundation onto 10% horse blood agar medium. Once the square plates with bacterial lawns were dried, Etes, Bio-me ´rieux, with different antibiotics targeting the cell wall (Vancomycin, Teicoplanin, Dapto-mycin and Colistin) were put on plate and incubated at 37˚C for 48 h in a microaerobic atmosphere. MICs were determined as the lowest concentration of antibiotics leading to a clear halo of inhibition. Colonization OF1 female mice purchased from Charles River Laboratories aged 5 weeks were infected by gavage with feeding needles with X47 strain (2 × 10 8 bacteria per mouse). Colonization rates were determined after 1, 4, 7, 15 and 32 days by enumeration of CFU per gram of stomach. Mice were euthanized with CO 2 and the stomachs were ground and homogenized in peptone broth. The samples were then diluted and spread on blood agar plates supplemented with 10 μg/ml of nalidixic acid, to inhibit the growth of resident bacteria from the mouse foresto-mach and 20 μg/ml of kanamycin for hupA mutant strain. The CFU were enumerated after 5 days of incubation under microaerobic conditions. The results of two independent coloniza-tion experiments (seven mice by cage) were pooled and a one tailed Mann-Whitney test was used to determine statistical significance of observed differences (GraphPad Prism v5.0 Graph-Pad Software, CA). Isolation of lipid A for mass spectrometry analysis For isolation of lipid A, H. pylori cultures were grown to an OD 600 of ~0.6. Lipid A chemical extraction was carried out after mild acidic hydrolysis of LPS as previously described [32,33]. For visualization of lipid A by mass spectrometry, lipids were analyzed using MALDI-TOF (ABI 4700 Proteomic Analyzer) in the negative-ion linear mode similar to previously described [34,35]. Briefly, lipid A samples were dissolved in a mixture of chloroform-methanol (4:1, vol/vol), with 1 μL of sample mixed with 1 μL of matrix solution consisting of 5-chloro-2meracaptobenzothiazole (CBMT) (20 mg/mL) resuspended in chloroform-methanol-water (4:4:1, vol/vol/vol) mixed with saturated ammonium citrate (20:1, vol/vol), and 1 μL of sam-ple-matrix mixture was loaded on to MALDI target plate. + +
Supporting information S1 Fig. Purification and characterization of PgpA from H. pylori. (A) SDS-PAGE analysis of His 6 -PgpA purification. Coloration was performed with Coomassie Blue R-250. Purified PgpA protein is indicated with an asterisk in the elution fraction. (B) Mg 2+ -dependence of PgpA PGPase activity. The results are expressed as the percentage of the optimal activity found at a final concentration of 6 mM of MgCl 2 . The observed molecular weight of recombinant
+ + HupA, the main UppP and PGPase in H.pylori + + PLOS Pathogens | https://doi.org/10.1371/journal.ppat.1007972 September 5, 2019 + + 21 / 24 + +
PgpA was lower than the calculated one (16,9 kDa). (TIF) S2 Fig. Membrane phospholipids of Helicobacter pylori. TLC analysis of total lipid extracts from N6 (1) WT strain and the four single mutants (2) lpxE::Gm; (3) hp0350::Km; (4) lpxF::Km; (5) hupA::Km grown to exponential phase in BHI medium. Left panel contains con-trol phospholipids: CL: Cardiolipin; PC: Phosphotidylcholine; PE: Phosphotidylethanolamine; PG: Phosphotidylglycerol; PS: Phosphotidylserine; Lip. EC: Lipid extracts from E. coli. (TIF) S1 Table. Oligonucleotides used in this study. Oligonucleotides which have an underlined nucleotide sequence, the sequence corresponds to the restriction enzyme cutting site. (DOCX)
+ +
Author Contributions Conceptualization: Dominique Mengin-Lecreulx, Thierry Touze ´, Ivo Gomperts Boneca. + Funding acquisition: M. Stephen Trent, Dominique Mengin-Lecreulx, Ivo Gomperts Boneca. + Investigation: Elise Gasiorowski, Rodolphe Auger, Xudong Tian, Samia Hicham, Chantal Ecobichon, Sophie Roure, Martin V. Douglass. + Project administration: Thierry Touze ´. + Resources: Chantal Ecobichon, Sophie Roure. + Supervision: M. Stephen Trent, Thierry Touze ´, Ivo Gomperts Boneca. + Validation: Rodolphe Auger, Samia Hicham, Ivo Gomperts Boneca. + Visualization: Elise Gasiorowski, Rodolphe Auger, Martin V. Douglass. + Writing -original draft: Elise Gasiorowski. + Writing -review & editing: Dominique Mengin-Lecreulx, Thierry Touze ´, Ivo Gomperts Boneca.
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diff --git a/grobid-trainer/resources/dataset/segmentation/corpus/tei/afp1085-lopezA-CC-BY.training.segmentation.tei.xml b/grobid-trainer/resources/dataset/segmentation/corpus/tei/afp1085-lopezA-CC-BY.training.segmentation.tei.xml new file mode 100644 index 0000000000..f6d556cdaf --- /dev/null +++ b/grobid-trainer/resources/dataset/segmentation/corpus/tei/afp1085-lopezA-CC-BY.training.segmentation.tei.xml @@ -0,0 +1,59 @@ + + + + + + + Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task Patrice Lopez science-miner France patrice.lopez@science-miner.com Caifan Du Johanna Cohoon University of Texas at Austin USA Karthik Ram Berkeley Institute for Data Science USA James Howison University of Texas at Austin USA ABSTRACT We present a comprehensive information extraction system dedi-cated to software entities in scientific literature. This task combines the complexity of automatic reading of scientific documents (PDF processing, document structuring, styled/rich text, scaling) with challenges specific to mining software entities: high heterogeneity and extreme sparsity of mentions, document-level cross-references, disambiguation of noisy software mentions and poor portability of Machine Learning approaches between highly specialized do-mains. While NER is a key component to recognize new and unseen software, considering this task as a simple NER application fails to address most of these issues. In this paper, we propose a multi-model Machine Learning ap-proach where raw documents are ingested by a cascade of docu-ment structuring processes applied not to text, but to layout token elements. The cascading process further enriches the relevant struc-tures of the document with a Deep Learning software mention recognizer adapted to the high sparsity of mentions. The Machine Learning cascade culminates with entity disambiguation to alleviate false positives and to provide software entity linking. A bibliograph-ical reference resolution is integrated to the process for attaching references cited alongside the software mentions. Based on the first gold-standard annotated dataset developed for software mentions, this work establishes a new reference end-to-end performance for this task. Experiments with the CORD-19 publications have further demonstrated that our system provides practically usable performance and is scalable to the whole scientific corpus, enabling novel applications for crediting research software and for better understanding the impact of software in science. CCS CONCEPTS • Computing methodologies → Information extraction; • Ap-plied computing → Document analysis. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). CIKM '21, November 1-5, 2021, Virtual Event, QLD, Australia © 2021 Copyright held by the owner/author(s). ACM ISBN 978-1-4503-8446-9/21/11. https://doi.org/10.1145/3459637.3481936 KEYWORDS Software; Scientific Literature; Entity Recognition; Entity Disam-biguation; Document Analysis ACM Reference Format: Patrice Lopez, Caifan Du, Johanna Cohoon, Karthik Ram, and James Howi-son. 2021. Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task. In Proceedings of the 30th ACM International Conference on Information and Knowledge Manage-ment (CIKM '21), November 1-5, 2021, Virtual Event, QLD, Australia. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3459637.3481936 + + 1 INTRODUCTION Software is increasingly used to support research activities. Many researchers include software with their results, as shown by ser-vices like rOpenSci [5] and Papers with Code 1 . Quality software facilitates scientific progress and research reproducibility. Software, however, is still relatively invisible in research, citation databases, and academic search engines. Because it is impossible to search for research software as easily as for articles, users miss relevant software and software is not easily found by potential users. In ad-dition, because identifying and crediting contributions of software developers is difficult, researchers have less incentives to develop better and more reusable software. While some recent works have focused on improving software cataloging [11] and standards for software citation [15], mining software mentions in the scientific literature as currently published offers a factual approach, directly usable to increase research software visibility. Named entity recognition (NER) in scholarly literature has been successfully applied across a range of entity types, including species names, chemical, and biomedical entities [6, 12, 13, 30]. Mining software entities has attracted a lot of interest in the recent years. A recent review article [16] offers a comprehensive analysis of prior works that extract software and data mentioned in research articles. From 48 reviewed studies, of which 15 cover software and packages, Krüger and Schindle categorize four extraction approaches: (1) term search, (2) manual extraction, (3) rule-based extraction, and (4) supervised learning. Term search was employed in 12 studies, although only one study related to software extraction. Term search refers to searching bibliographical databases for known string identifiers, such as URL, + + 1 https://paperswithcode.com + + This work is licensed under a Creative Commons Attribution International 4.0 License. CIKM '21, November 1-5, 2021, Virtual Event, Australia. © 2021 Copyright is held by the owner/author(s). ACM ISBN 978-1-4503-8446-9/21/11. https://doi.org/10.1145/3459637.3481936 + + Table 1: Distribution of software citations in the Biomedical domain from [14] types examples proportion mention with reference ... was calculated using biosys (Swofford & Selander 1981)... 37% mention ... were analuzed using MapQTL (4.0) software... 31% device-like ... GraphPad prism software (San Diego, CA, USA) was used for data analyses 19% URL ... freely available from http://www.cibiv.at/software/pda/... 5% mention with website ... using BrainSuite2 (http://brainsuite.usc.edu)... 5% user manual reference ... as analyzed by the BIAevaluation software (Biacore, 1997)... 2% unnamed ... was carried out using software implemented in the Java programming language 1% DOI, or particular software names known in advance, strongly limiting the capacity of recognition. Manual extraction, applied in 16 studies with six addressing software, is relevant to occasional review work, but is not able to scale. Rule-based approaches rely on pre-defined heuristics to auto-matically extract mentions of software from text. 16 of the studies reviewed by Krüger and Schindle used rule-based approaches; six of these were related to software extraction. While rules can achieve good precision, they are usually limited in terms of coverage. They are time-consuming to create and to maintain. Furthermore, since this approach is often used because of a lack of annotated data, rule evaluation can be unreliable and their portability to new domains is uncertain. Supervised learning has been used in four studies, two only covering software recognition [9, 10]. These and [27] use a CRF approach, while [16] experiments with a BiLSTM-CRF model. However, they are all based on datasets with very limited number of documents that over-represent software mentions. While strict supervised learning provides the best performance for NER appli-cations, they typically require large and realistic sets of annotated data, which are missing for software entities. Our system relies on a gold-standard annotated corpus, the Soft-cite Dataset [8], presented in section 2 and available online 2 under CC-BY license. This new dataset, by its size and quality, makes it possible to experiment with fully supervised Machine Learning (ML) approaches and to provide more rigorous evaluations. The analysis of the Softcite Dataset helped us understand how software are mentioned and identify the main requirements and challenges of this task (section 3), which go far beyond the traditional NER used by prior research. In this paper we provide details on our sys-tem, the Softcite recognizer, available as open source 3 (including models and evaluation scripts) under the Apache 2 license. To better capture the specificities of mining scholarly literature, our efforts are realized from an end-to-end perspective. In particular, we address the concrete challenge of applying state-of-the-art ML methods to dozens of millions of published PDFs across different scientific domains, where software mentions represent only a few relevant tokens out of several thousands in every document. Finally, to validate our approach, we mined the CORD-19 PDF publication set [32], with results available online 4 . + + 2 https://zenodo.org/record/4445202 + + 3 https://github.com/ourresearch/software-mentions + + 4 https://zenodo.org/record/5140437 + + Table 2: Overview of the annotations in the gold-standard Softcite Dataset, with the proportion per 1000 of annotated tokens given the total number of tokens of the corpus (total of 46,052,050 tokens). annot. types # annot. # tokens ‰tokens software name 5,172 6,396 0.139 version 1,591 3,627 0.079 publisher 1,358 2,686 0.058 URL 215 2,571 0.056 total 8336 15,280 0.332 2 THE SOFTCITE DATASET We developed the Softcite Dataset [8] as a on-going long term effort to understand software citations and to support experiments with supervised learning. This dataset includes the mentions of software names and related attributes version (version number or version date), publisher, and URL from 4,971 full-text research articles, a total of 8,336 annotations. Articles were randomly selected from the PubMed Central (PMC) Open Access Subset (2,521 articles), and from open access articles in Economic (2,450 articles) via Unpay-wall [29]. The manual annotation was realized with a multi-round annotation process starting from the complete article content and in-volved 38 human annotators. Percentage inter-annotator agreement for the annotations is 75.5%. All annotations were then reconciled and checked for a final choice by two expert annotators, ensuring consistency in the labeling and a gold-standard quality. Table 2 presents an overview of the annotations in the dataset. The final published dataset includes only the paragraphs with at least one annotation. Before the Softcite Dataset, the largest similar dataset used for supervised learning experiments [9, 10, 16] was a set of 85 annotated documents (versus 4,971 in the Softcite Dataset) presented in [9], with average name mention frequency per docu-ment of 40.3 for the training set and 70.0 for the test set, whereas mention frequency is only 1.04 software name per document in the randomly selected Softcite Dataset. 3 TASK DESCRIPTION 3.1 Heterogeneity of software citations In a previous study [14], summarized by Table 1, we observed that software citations in Biomedicine came in many different forms, dominated by informal mentions. These results show the neces-sity of identifying various types of information beyond a software name: associated bibliographical references, URL, software publish-ers and creators, and version numbers. Recognizing the associated bibliographical references takes several steps: identify the reference markers locally associated with a software mention, link these mark-ers to their reference entries usually in the bibliography section, parse the references, and match them to registered bibliographical records such as a CrossRef DOI entries. URLs are frequently in footnotes, which necessitates cross-reference linking within the document. 3.2 Sparsity of mentions As the count of software mentions in Table 2 shows, one of the key challenges in automatic software recognition is the low frequency of the mentions in documents. Only 1,441 out of 4,971 (29.0%) of the articles contain at least one software mention. This is even more significant at the level of tokens (including traditional delimiters but excluding space characters), which is the level of prediction in a sequence labeling process like NER. The 4,971 full-texts contain a total of around 46 million tokens, but only 15,280 tokens are relevant to a software mention; so around one token would be positively labeled for each 3,000 "negative" tokens, with a ratio as low as one token per 17,500 tokens for publishers and URL fields. This issue is usually referred as the Class Imbalance Problem (CIP) in Machine Learning. CIP is determined by the Imbalance Ratio (IR), i.e., the ratio between the negative samples and the positives. An IR value above 500 is usually already considered to be extreme [20]. With the higher observed IR, an ML approach to finding new unseen software mentions is a major difficulty. We observed that very few studies investigated extreme CIP in the context of NER. These studies usually focused on chemical and biomedical entities, which, while highly imbalanced, do not present such extreme IR as we observe for software mentions [2, 31]. 3.3 Document-level information As mentioned previously, information related to cited software is often spread in different places within a document. In addition to this constraint, the Softcite Dataset shows that the distribution of software mentions in documents is not uniform and the same entity is frequently mentioned several times in one document [8]. Each context of citation can bring different information. A global view of the software mentions at document level is therefore a practical requirement for fully recognizing all mentions to software and further matching them to unique software entities. 3.4 PDF processing Mining for specific entities is only relevant to certain textual struc-tures of a scientific document, such as paragraphs, abstracts, figure captions, etc. In the Softcite corpus, we calculated that, on average, 28% of publication content should be filtered out. This includes metadata (author, affiliations), bibliographical sections, table and figure content, formulas, headnotes, page numbers, reference mark-ers, or editorial annexes (like conflicts of interest). Text mining work usually assumes the availability of clean and structured text enabling recognition only on relevant document parts, but this is not the condition of real world applications. The most widespread and easily available scientific publication format is raw PDF, a presentation-oriented format that destroys the semantics and the original structure of data, introducing noise in text encoding and text order stream. This format raises major issues for text mining applications, both in terms of significant source of errors and technical feasibility [33]. Publishers' structured XML including the text body, such as JATS, is text-mining friendly, but has limited availability. Decades of back files are only available in PDF. Even when available, XML full-texts are in a variety of different native publisher XML formats, often incomplete and inconsistent from one to another, difficult to use at scale. Moreover, XML full-texts are usually subject to numerous complex and time-consuming commercial agreements. Thus, sup-porting PDF by using a layout aware parsing and conversion tool appeared very early as a key requirement for our task. 3.5 Specialized domains Technical and scientific documents aim at supporting specialist communication and are thus written in specialist language, 30-80% of which is composed of terminology according to [1]. Scientific texts follow thus a specialized language with specific vocabularies and nomenclatures highly depending on technical domains. The usage of existing general-purpose NLP components on sci-entific text results most of the time in a significant loss of accuracy as compared to custom models. For example, ScispaCy improves F1-scores by 3.3 to 23.5 points on some tasks related to Biomedical literature as compared to the general domain spaCy [25]. SciB-ert surpasses Bert-base model by 0.1 to 7.07 points in F1-score depending on the task [3]. We also observed in these works that the portability of ML models from one scientific field to another is uneven, even when customized. This directly challenges the recog-nition of cross-domain entities like software across fields. 4 DOCUMENT PROCESSING AS A CASCADE OF MACHINE LEARNING MODELS Figure 1 presents the Softcite pipeline, which tries to address these challenges in an accurate, scalable, and generic manner. The dif-ferent approaches and components are presented in details in the next sections. 4.1 Document structuring We rely on GROBID 5 for parsing, extracting, and structuring the content of scientific articles in PDF, but also to drive further entity mining in relevant sections. GROBID is an open source library specialized for scholarly PDF implementing a cascade of ML models to mark up the structure of a document. The tool, created by the first author of this paper [22], is used for this purpose by many large scientific information service providers such as ResearchGate, Academia.edu, and Internet Archive, by large-scale citation services, for example scite.ai, which has extracted more than 800 million bibliographical citation contexts with this tool [26], or for creating machine-friendly datasets of research papers, like the recent PDF set of the CORD-19 dataset [32]. + + 5 https://github.com/kermitt2/grobid + + Figure 1: Overview of the Softcite software extraction pipeline. Blue boxes represent the main processing compo-nents, and ovals the different data results. Each ML model in GROBID is a sequence labeling model. Se-quence labeling is defined in an abstract manner and its concrete implementation can be selected by choosing among standard ML architectures, including a fast linear chain CRF and a variety of state-of-the-art Deep Learning (DL) models. Sequence labeling mod-els are limited to the labeling of a linear sequence of text, therefore they associate a one-dimension structure to a stream of tokens. One way to create additional levels of embedded structures is to cas-cade several sequence labeling models, the output of a first model being piped to one or several models. This is the approach taken by GROBID, and Figure 2 shows the current model cascade. Each model can use a different sequence labeling algorithm, different features, and different tokenizers, depending on the labels used by the particular model, on the amount of available training data, on the runtime, memory, and accuracy constraints, etc. In addition to layout recognition and recovery of the reading order, GROBID and its PDF parsing component pdfalto handle a va-riety of text cleaning processes: UTF-8 encoding and character com-position, de-hyphenization, reconnecting paragraphs interrupted by a page break, a figure or a table, special font resolution, recog-nition of formula, etc. Complementary to the support of ALTO, a modern format for OCR output, pdfalto implements additional fea-tures relevant to scientific documents, in particular the recognition of superscript/subscript style and the robust recognition of line numbers for review manuscripts. Bibliographical references and the corresponding reference call-outs within the text body are also identified and parsed following a set of dedicated ML models, with a F1-score between 80 and 86%, depending on the evaluation approach, for a dataset of 1,943 PubMed Central articles. Finally a parsed reference with incomplete metadata is resolved against the current 105 million DOI records of CrossRef via biblio-glutton 6 , a fast open source reference matching service showing an accuracy of 95.39 F1-score on a set of 17,015 raw bibliographical reference/DOI pairs extracted from PubMed Central PDF/JATS articles (see biblio-glutton repository). Various evaluations for the different GROBID models and for the end-to-end process are available at the project repository 7 . These evaluations are continuously updated with new releases. 4.2 Layout tokens, not text If processing PDF is very challenging from a text mining perspec-tive, this format provides a lot of advantages to the human readers 8 . We think it is possible to exploit some of these advantages to better present and interact with text mining results. More precisely by cal-culating the bounding box coordinates of the extracted information in the PDF, we make possible augmented interactive PDF. In the complete cascading of process, GROBID does not manipu-late text but Layout Tokens, a structure containing the Unicode text token but also the associated available rich text information (font size and name, style attributes, etc.) and the location in the PDF expressed by bounding boxes. Layout Tokens are grouped following layout criteria (lines, blocks, columns) as a first result of the PDF layout analysis by pdfalto, and then further semantically grouped through the ML process, as a succession of labeled fields. Operations on 2D bounding boxes are well known and straight-forward to apply to Layout elements. By synchronizing the bound-ing boxes with the sequence labeling, we can render any text mining results on their original PDF source. Text mining is then not limited to populating a database, it allows user-friendly visualizations of semantically enriched documents and new interactions. Layout information is also used to instantiate layout features, which can be exploited or not depending on the capacity of the ML models. Layout features are crucial for the reliable recognition of structures such as titles, abstracts, section titles, figures, tables, ref-erence markers which are often only characterized by their relative position (vertical space, indentation, blocks, etc.) and font style (e.g. superscript for reference markers). While the layout features are not directly involved in the recognition of software names, they are used to identify and select relevant structures to be processed, to recover valid text order, encoding, and text tokens, and in the identification of reference markers attached to software mentions. 4.3 Identification of Candidate Mentions Similarly as the models in GROBID, software mention recognition is implemented as a sequence labeling task, where the labels are + + 6 https://github.com/kermitt2/biblio-glutton + + 7 https://grobid.readthedocs.io/en/latest/Benchmarking/ + + 8 The main advantages for the users are a fixed layout, a preservation format, a universal support by document visualization and editing tools, the ease of storage, annotations and additions of web links and, finally, a professional printing typeset quality. + + segmentation fulltext table recognition of software mention candidates figure reference-segmenter reference name-citation header date name-header Figure 2: The GROBID cascade of sequence labeling models. The software mention model (in red) is added as a downstream model applied on certain outputs of the existing GROBID models. These GROBID models correspond to the relevant textual structures where a software mention can take place (title, abstract, and keywords from the article header; paragraphs and sec-tion titles from the fulltext body; captions from the figure and table parts; and finally footnotes from the main segmentation). applied to sequences of Layout Tokens, identifying relevant soft-ware names and attributes. This sequence labeling model is added to the GROBID cascade, applied to a selection of relevant structures identified by upstream GROBID models. Figure 2 presents the cas-cading process and which structures are considered for software recognition. We call this approach structure-aware document anno-tation, in contrast to the large majority of text mining approaches for scientific literature which ignore the document structure and its related semantics. Tokens are propagated to downstream mod-els with information about the structures where they appear and layout attributes, allowing the pipeline to exploit more contextual information than usual approaches. 4.3.1 Undersampling, holdout set, and training set. In section 3.2, we stressed the very challenging nature of the Imbalance Ratio for this NER application. In ML, the CIP is usually addressed by sampling strategies used either for removing data from the major-ity class (undersampling) or adding data to the minority class via artificially generated examples or Active Learning (oversampling). With these sampling techniques, the training data is viewed as a working resource which is crafted to maximize the accuracy of the trained model. An n-fold cross evaluation or any random splitting on this working set is here misleading because the distribution of the classes is artificially modified to boost the accuracy of the less frequent classes. For evaluating a model, in particular against the CIP effects, we need to create a stable holdout set as close as possible to the observed class distribution and data diversity. Holdout set. The Holdout set is defined at document-level in order to allow document-level evaluation. We selected 20% of the Softcite Dataset full-texts (994 articles), reproducing the overall distribution of documents with annotation (29.0%), the distribution between Biomedicine and Economics fields, and we used a stratified sampling to reproduce the overall distribution of mentions per document. Training set. The remaining 80% of documents (3,977 articles) was then divided at paragraph-level into positive (1,886 paragraphs with at least one manual annotation) and negative (612,597 para-graphs without manual annotations). Negative examples here are viewed as a pool of possible negative samples to be added to the positives examples, depending on the undersampling strategies. Undersampling methods. In this work, we focused on adapting undersampling approaches to NER where undersampling being the most commonly used approach for addressing CIP in classification problems [21]. We experimented with two different approaches to reducing the weight of the negative majority class: • Random negative sampling. Different ratio of random negative paragraph examples are used in combination with all the positive paragraph examples to create training sets. We considered ratio from 1 to 50 and selected the best ratio using a validation set. We identified the best ratio at 15, with overall accuracy decreasing beyond 20, the positive samples becoming too diluted in comparison with the negative ones. • Active negative sampling. A model trained only with pos-itive examples was first created. This model was then applied to all the paragraphs without manual annotations, and we selected those where a mention is wrongly predicted, comple-mented with random sampling to reach the experimentally defined ratio. With this approach, we suppose that negative examples where such errors occur can better contribute to the improvement of the models for controlling false posi-tives. As baseline (noted none), we also ran NER models trained only on positive paragraphs, which corresponds to the Softcite Dataset, without any sampling. Sequence labeling algorithms. The labeling is done paragraph by paragraph, as extracted by the GROBID upstream models. The following sequence labeling algorithms have been benchmarked: Table 3: Summary of scores (P: Precision, R: Recall, F: F1-score) at span level (exact match) against the holdout set (994 complete articles). no sampling refers to a training with only paragraphs containing at least one annotation from the 80% remaining articles. Paragraphs without annotations (negative sampling) are then added to the training data via random sampling or active sample. Bold indicates the best scores for a given field. Reported scores for DL models are averaged over 5 training/runs. model under-software name publisher version URL F1 micro sampling P R F P R F P R F P R F average CRF (custom none 29.2 58.5 38.9 41.5 76.6 53.8 51.9 84.9 64.4 18.2 68.6 28.7 45.8 features) random 66.9 53.7 59.6 70.4 75.1 72.7 79.8 83.6 81.6 34.8 45.7 39.5 66.3 active 69.0 52.8 59.8 70.3 73.7 72.0 80.9 82.7 81.8 32.6 42.9 37.0 66.2 BiLSTM-CRF none 21.9 68.5 33.2 45.3 82.8 58.5 53.6 90.5 67.3 16.7 57.1 25.8 41.9 random 57.1 71.9 63.7 67.4 85.2 75.3 73.0 88.7 80.1 51.0 74.3 60.5 69.0 active 62.7 68.5 65.5 69.0 85.2 76.2 63.5 92.6 75.4 63.2 68.6 65.8 69.8 BiLSTM-CRF none 20.9 74.5 32.7 45.7 85.7 59.6 58.4 91.8 71.4 14.5 48.6 22.4 41.4 +features random 54.1 73.6 62.4 68.5 84.2 75.5 72.2 92.2 81.0 50.0 65.7 56.8 68.3 active 54.5 73.3 62.5 68.2 85.2 75.7 79.5 92.2 85.4 47.5 80.0 59.6 69.3 BiLSTM-CRF none 35.6 74.9 48.2 71.6 79.4 75.3 72.9 88.3 79.8 11.6 80.0 20.3 54.5 +Elmo random 67.4 63.0 65.1 63.9 83.7 72.5 83.1 84.9 83.9 54.8 48.6 51.5 70.2 active 61.9 70.4 65.9 74.1 84.7 79.0 77.7 90.5 83.6 48.0 68.6 56.5 71.6 Bert-base none 15.1 74.2 25.1 40.2 79.4 53.4 42.1 87.9 56.9 04.5 71.4 08.5 30.4 -CRF random 52.8 67.8 59.3 61.6 79.0 69.2 65.9 85.3 74.3 15.0 54.3 23.5 61.9 active 56.9 67.9 61.9 66.1 78.5 71.8 73.5 85.3 79.0 19.0 54.3 28.2 65.3 SciBert-CRF none 25.7 80.4 39.0 44.1 84.7 58.0 71.7 92.2 80.7 27.8 71.4 40.0 47.6 random 60.5 77.0 67.8 68.1 82.8 74.7 75.4 91.3 82.6 40.3 71.4 51.6 71.4 active 69.3 72.8 71.0 75.6 82.8 79.0 80.2 87.9 83.9 45.3 68.6 54.6 74.6 • linear chain CRF: Conditional Random Fields with custom feature engineering [17], • BiLSTM-CRF: Bidirectional LSTM-CRF with Gloves static embeddings [18], • BiLSTM-CRF + features: Bidirectional LSTM-CRF with Glove static embeddings including a feature channel, • BiLSTM-CRF+Elmo: Bidirectional LSTM-CRF with Gloves static embeddings and Elmo dynamic embeddings [28] • Bert-base-CRF: fine-tuned Bert base model [7] with CRF activation layer, pre-trained on general English text • SciBert-CRF: fine-tuned Bert base model pre-trained on scientific text [3] with CRF activation layer, The CRF implementation is based on a custom optimized fork of Wapiti 9 [19]. The other algorithms rely on the Deep Learning library DeLFT 10 built on top of TensorFlow and Keras. All are natively integrated in GROBID JVM to optimize runtime. Transformers use CRF as final activation layer, which provides a stable improvement of 0.3 to 0.5 points in F1-score as compared to a softmax layer. All these models take exactly the same input sequence, associ-ated with the same features, and use strictly the same evaluation method, avoiding some common experimental biases related to pre-processing and evaluation. Hyperparameters of the Deep Learning models have been set experimentally on a validation set part of the training data and an early stop is used. The different implemented sequence labeling algorithms give a comprehensive picture of the best named entity recognition ap-proaches available today. In order to select the most adapted to + + 9 https://github.com/kermitt2/wapiti + + 10 https://github.com/kermitt2/delft + + our application, we evaluated them against three criteria: accuracy, runtime, and domain portability. 4.3.2 Accuracy. We observe with Table 3 that CIP is indeed a ma-jor concern for software mention recognition. Training models without consideration of CIP can lead to models two times less accurate. SciBert-CRF, which is pretrained on scientific texts, per-forms better than the general-purpose Bert-base or BiLSTM-CRF with Gloves embeddings. BiLSTM-CRF+Elmo, although pre-trained on general language, provides solid F1-score but benefits less from the negative sampling than SciBert-CRF. In general, we observe that DL models benefit significantly more from the undersampling than CRF only. We further observe that additional custom features has no significant impact when used by the DL models. 4.3.3 Runtime. Given the scaling constraint of scientific text min-ing, the accuracy of the models must be considered in balance with their runtime. Table 5 shows that the runtimes can differ extremely from one model to another one. CRF scales particularly well on commodity hardware, running more than three times faster than the fastest DL approach with GPU, BiLSTM-CRF. Although accu-rate, BiLSTM-CRF+Elmo is more than 250 times slower than CRF, which makes impossible a usage for mining scientific literature at scale. SciBert-CRF combines a strong accuracy with a more acceptable runtime, 14 times faster than BiLSTM-CRF+Elmo. 4.3.4 Domain portability. One aspect often neglected in the evalu-ation of information extraction models is the capacity of a model to perform well on a domain different from the one it has been trained on. As mentioned in section 3.5, this is particularly relevant in science, a mosaic of different highly specialized languages. Table 4: Evaluation of domain portability. The models have been trained on the PMC sub-collection and are evaluated on the Economics domain. The numbers are F1-scores, averaged over 5 training for the indicated DL models. Trained on Biomedicine Evaluated on Economics micro-models software publisher version URL average CRF (custom features) 37.9 13.7 48.6 16.0 35.9 BiLSTM-CRF 51.0 22.0 57.8 58.3 49.1 BiLSTM-CRF+Elmo 53.4 19.1 57.1 53.3 51.2 Bert-base-CRF 45.6 17.0 66.7 17.0 42.6 SciBert-CRF 58.6 34.8 80.7 46.2 57.9 Table 5: Average runtimes of different sequence labeling models. The runtimes were obtained on a Ubuntu 18.04 server Intel i7-4790 (4 CPU), 4.00 GHz with 16 GB memory. The runtimes for the Deep Learning architectures are based on the same machine with an Nvidia GPU GeForce 1080Ti (11 GB). Runtime can be reproduced with a python script in the project GitHub repository. model best modality layout tokens/s CRF CPU threads: 8 100,879 BiLSTM-CRF GPU batch size: 200 30,520 BiLSTM-CRF+Elmo GPU batch size: 7 365 SciBert-CRF GPU batch size: 6 5,060 For evaluating domain portability, we have trained the models on the PubMed Central collection (1,109 documents with at least one software mention for a total of 6,096 annotations), covering the biomedical domain, and performed an evaluation on articles in Economics, a notably different domain (119 articles with at least one software mention for a total of 538 annotations). Results are summarized by Table 4. While we see that covering a new domain is challenging, Deep Learning models all show a much stronger average recognition ac-curacy than CRF on all the fields, in particular for SciBert-CRF, the difference of accuracy being significantly amplified in the unseen domain. The capacity to recognize new, unseen software informa-tion in a variety of domains is critical for the creation of knowledge bases. SciBert-CRF shows the best portability, while combining best accuracy and a manageable scalability. This model appears today as the best choice for large-scale text mining and entity dis-covery in scientific literature. 4.4 Attachment of software attributes and reference markers We use simple proximity rules to attach the software attributes (version, publisher, URL) to their corresponding software name men-tion and to attach a bibliographical reference marker to a software mention. These rules were experimentally developed and evaluated against the Softcite Dataset, where the relations between attributes and software names are manually encoded. 4.4.1 Attachment of software attributes. Software attributes can be attached to a software name (viewed as head of the full software Table 6: Evaluation of attribute attachment to the correct software name, for a total of 2,537 expected attachments. attribute fields precision recall F1-score version 99.6 98.5 99.1 publisher 99.5 98.3 98.9 URL 98.7 95.4 97.0 biblio. reference 97.5 100 98.7 all (micro-avg) 99.4 98.2 98.8 component) only if they occur in the same paragraph. We did not observe attachment beyond a paragraph in the Softcite Dataset. Attachment of a software attribute with character offsets a_start and a_end is as follow: (1) attribute is discarded if no software name is present in the paragraph, (2) attribute 𝑎 is attached to the software name 𝑛 at position offsets (n_start, n_end) minimizing the following distance function 𝑑: 𝑑 (𝑎, 𝑛) = (n_start -a_end) × 2, if a_end ≤ n_start a_start -n_end, otherwise 4.4.2 Attachment of bibliographical reference markers. Given a soft-ware component (composed of a software name plus zero or several software attributes), we note 𝑛_𝑒𝑛𝑑 the end character offset of the software name and 𝑔_𝑒𝑛𝑑 the end character offset of the com-plete component (maximum offsets of all the software attributes and name positions of the software component, so if no attribute present n_end = g_end). A bibliographical reference marker is at-tached to a software mention group if it is overlapping the chunk [n_end, g_end + 𝑘], where 𝑘 is set experimentally. Based on the Softcite Dataset, we use 𝑘 = 5. 4.4.3 Evaluation of the attachment rules. Table 6 presents the accu-racy of attaching software attributes to the correct software names in the Softcite Dataset. Given that these simple rules perform ac-curately in the case of software mentions, we did not investigate more sophisticated approaches. 4.5 Software usage detection Whether or not a software mentioned in an article was in fact used in the research is important to understand why a software is cited and to better credit research developers for the actual impact of Table 7: Evaluation of the usage prediction for mentioned software. Annotated examples are from the Softcite Dataset and the scores (P: Precision, R: Recall, F: F1-score) are micro-average average over 10-folds. Implementations are realized with DeLFT, a library based on Keras/TensorFlow. software annot. BidGRU × 10 SciBERT usage count P R F P R F used 3736 96.5 99.2 97.9 95.6 99.5 97.5 not used 357 86.4 57.6 69.1 88.2 45.4 60.0 their contributions. To explore the feasibility of an ML approach to this task, complementary binary Deep Learning classifiers have been trained to predict if the mentioned software is used or not in the research work described in a publication. Usage informa-tion are encoded in the Softcite Dataset with a silver-level quality (annotation by possibly several annotators with majority vote, but no final reconciliation by a an expert). We hypothesize here that the wording used to introduce and describe a software mention can characterize its possible usage. The sentences containing the mentions are used as classifier input, without additional features. Results are shown in Table 7. We found that a BidGRU archi-tecture with Glove embeddings in a 10-classifiers ensemble (com-bination of 10 classifiers trained on 10 different partitions of the training data), the best RNN model we have experimented, sur-passes SciBert significantly. This result is relatively unexpected because SciBert provides the best performance in many classifica-tion tasks related to scientific text [3]. However, the accuracy of the minority class not used is low for a practical usage. We will address the performance of the models by developing more training data and by increasing the data labeling quality to gold-standard. 4.6 Software Candidates and Entity disambiguation Entity disambiguation, or entity linking, is the task of matching a raw mention to the concept it references. We consider here Wikidata as the reference set of entities. Wikidata currently contains around 13K entities corresponding to software (excluding video games), but also several million other scientific entities that can be used to detect false positives. We use entity-fishing 11 [23] as the entity disambiguation library for the following reasons: the library is able to match in-context mentions (exploiting wording around the mention) against the com-plete Wikidata, is very fast in comparison to all other alternatives (full linking up to 4800 tokens/s on a 4-core server), it does not require a GPU, is highly memory-efficient as compared to other existing systems, and is designed to disambiguate any terms (not just Named Entities). It provides an accuracy close to the state of the art. For instance, in the overall unnormalized accuracy scenario for AIDA-CONLL-testb, it performs at 76.5 F1-score, compared to 80.27 for the recent BLINK system [34], a fine-tuned Bert consid-erably more resource-hungry and slower, limited to the English Wikipedia-and surpasses this system for the AQUAINT (89.1 vs. 85.88) and MSNBC (86.7 vs. 85.09) evaluation sets. + + 11 https://github.com/kermitt2/entity-fishing + + Table 8: Comparison between paragraph-level (default, noted ) and document-level (noted doc.) processing with and without entity disambiguation filtering (F1-scores on holdout set, average of 5 train/runs). fields SciBERT-CRF SciBERT-CRF + entity disambiguation doc. doc. software 71.0 74.1 (+3.1) 74.3 (+3.3) 76.7 (+5.7) publisher 79.0 76.2 (-2.8) 81.9 (+2,9) 78.3 (-0.7) version 83.9 84.7 (+0.8) 87.1 (+3.2) 88.3 (+4.4) URL 54.6 64.9 (+10.3) 55.4 (+0.8) 66.7 (+12,1) micro-avg 74.6 76.4 (+1.8) 77.7 (+3.1) 79.1 (+4.5) The disambiguation is realized with an ensemble approach (Gra-dient Tree Boosting) using a variety of features, including semantic vector similarity [4] and graph-based relatedness measure [24]. The context to be disambiguated is defined as the paragraph where a candidate mention occurs. The amount of text to be disambiguated is thus limited on average to a few paragraphs per document and remains scalable. The first usage of the entity disambiguation is to filter out false positives. If a candidate software mention is likely a known scien-tific entity other than software in its context of usage, we discard the candidate. Table 8 shows the corresponding improvement of software mention recognition with a disambiguation score thresh-old of 0.4 (any non-software entities predicted above this threshold is considered as false positive software mention). We think that these results are encouraging and could be further improved by additional custom training of the disambiguation, the selection of improved contexts and extending Wikidata to cover more research software entities from other curated sources. The second usage is more traditional entity linking. The men-tions successfully disambiguated are enriched with Wikidata and English Wikipedia page identifiers. These identifiers and related information can help to further deduplicate mentions correspond-ing to the same software across different publications. Although entity-fishing is comprehensively benchmarked for general-domain texts, we do not currently have data manually annotated at entity level to evaluate the particular case of software entity linking. 4.7 Document-level processing When processing a complete document, it is frequent that only some instances of mentions of the same software are identified, while others remained unlabeled. The wording around some mentions and the presence of other software attributes impact the performance of recognition. To address this, we apply a propagation of the matched software names to other unlabeled occurrences of the same term in the same document. To avoid propagating a mention to spurious common and short strings, we apply a TF-IDF threshold to the software names to be propagated, keeping only those which are significant given the background full Softcite corpus. Table 8 presents an evaluation of this step with a TF-IDF threshold experimentally set at 0.001 using a validation set of the training data. Table 9: Results of a re-harvested version of CORD-19 using the metadata file dated 2021-03-22. total count total Open Access full texts 211,213 -with at least one annot. 76,448 software names 295,609 -with linked Wikidata ID 117,193 publishers 61,804 versions 104,199 URL 27,916 -with biblio. references 49,184 references with DOI 15,931 references with PMID 10,611 5 APPLICATION TO CORD-19 We applied the Softcite software recognizer with a SciBert-CRF model trained on the complete Softcite Dataset, to the CORD-19 publications [32], see Table 9. The CORD-19 corpus contains partial full-texts as JSON files. However, we started with the CORD-19 metadata file only and carried out a new and complete harvesting of the Open Access documents, in order to be able to use the PDF versions and more complete structured full-texts. Our full-text har-vester is available online 12 and relies on the Unpaywall dataset [29] to identify URL of full-text papers based on metadata and DOI. Our harvesting retrieved around 41K full-texts more than the offi-cial CORD-19 document set, allowing us to exploit more PDFs for ex-tracting annotations coordinates and more accurate text structures. As indicated in Figure 1, PDF are processed via pdfalto and GROBID components while XML JATS files are processed by Pub2TEI 13 , a collection of style sheets developed over 12 years able to transform a variety of publisher XML format to the same TEI XML format as produced by GROBID. This common format, which supersedes a dozen of publisher formats and many of their variants, centralizes further processing across PDF and heterogeneous XML sources. Figure 3 shows how annotations can be visualized on the har-vested PDF. When successful, entity linking allows users to access Wikidata and Wikipedia descriptions of the software. Similarly, when a bibliographical reference has been associated with a soft-ware in the document, users can visualize the metadata information of the publication, and, when available, directly access its Open Access full-text via Unpaywall. A single 4-core server with one GPU (GeForce 1080Ti) and 16 GB RAM can process an average of 0.53 PDFs per second. The processing includes the full PDF processing, document structuring, the software recognition with the best SciBert-CRF model, entity disambiguation of the candidates software, additional document-level propagation and finally the resolution against 105M CrossRef records of possible bibliographical references attached to the soft-ware mentions. This runtime makes it possible to process 20 million articles (an estimate of the total available Open Access research articles) in one month with around 15 similar servers, a reasonable setting with today's scientific computing capacities. + + 12 https://github.com/kermitt2/article-dataset-builder 13 https://github.com/kermitt2/Pub2TEI + + Figure 3: Augmented PDF using the Softcite text mining tool: mentions of software and their attributes are display on top of the PDF as HTML dynamic layout, via the standard PDF.js library (left part). The user can interact directly in situ with the annotations, opening info boxes with Wikidata disam-biguated information and local consolidated bibliographical reference relevant to the software. 6 CONCLUSION In this work, we addressed several practical challenges often ne-glected when applying state-of-the-art NLP techniques to scientific literature: processing of raw PDF documents, rich text, specialized vocabularies, extremely imbalance NER, and scalability require-ments. In addition, we developed a "layout-aware" text mining approach for scientific documents, where layout information can be propagated throughout the entire pipeline, making possible for users to directly interact with annotations on PDF and access entity-level information. We think that this approach can enable novel applications to value research software as first-class scientific contributions and more generally better credit research software. We are currently applying the Softcite software mention rec-ognizer on a set of 15 million Open Access articles to create a Knowledge Base of research software in combination with curated resources 14 . We hope that this Knowledge Base and our data-driven approach will help to better understand the impact of software in scientific research, support reuse and collaboration around open source development, and ultimately benefit the dissemination of science and technologies across society. + +
ACKNOWLEDGMENTS We would like to acknowledge the support of the Alfred P. Sloan Foundation, Grant/Award Number: 2016-7209, and of the Gordon and Betty Moore Foundation, Grant Number: 8622.
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diff --git a/grobid-trainer/resources/dataset/segmentation/corpus/tei/qss_a_00170.training.segmentation.tei.xml b/grobid-trainer/resources/dataset/segmentation/corpus/tei/qss_a_00170.training.segmentation.tei.xml new file mode 100644 index 0000000000..961389ea31 --- /dev/null +++ b/grobid-trainer/resources/dataset/segmentation/corpus/tei/qss_a_00170.training.segmentation.tei.xml @@ -0,0 +1,131 @@ + + + + + + + Towards Establishing a Research Lineage via Identification of Significant Citations Tirthankar Ghosal § * , Piyush Tiwary † * , Robert Patton ‡ and Christopher Stahl ‡ §Institute of Formal and Applied Linguistics, Charles University, CZ †Indian Institute of Science, India ‡Oak Ridge National Laboratories, US §ghosal@ufal.mff.cuni.cz †piyushtiwary@iisc.ac.in ‡(pattonrm, stahlcg)@ornl.gov October 26, 2021 Abstract Finding the lineage of a research topic is crucial for understanding the prior state of the art and advancing scientific displacement. The deluge of scholarly articles makes it difficult to locate the most relevant previous work. It causes researchers to spend a considerable amount of time building up their literature list. Citations play a crucial role in discovering relevant literature. However, not all citations are created equal. The majority of the citations that a paper receives provide contextual and background in-formation to the citing papers. In those cases, the cited paper is not central to the theme of citing papers. However, some papers build upon a given paper, further the research frontier. In those cases, the concerned cited paper plays a pivotal role in the citing paper. Hence, the nature of citation the former receives from the latter is significant. In this work, we discuss our investigations towards discovering significant citations of a given paper. We further show how we can leverage significant citations to build a research lineage via a significant citation graph. We demonstrate the efficacy of our idea with two real-life case studies. Our experiments yield promising results with respect to the current state-of-the-art in classifying significant citations, outperforming the ear-lier ones by a relative margin of 20 points in terms of precision. We hypothesize that such an automated system can facilitate relevant literature discovery and help identify knowledge flow for a particular category of papers. Keywords-citation classification, citation significance detection, machine learning, research lineage, citation graph, academic influence + + 1 Introduction Literature searches are crucial to discover relevant publications. The knowledge discovery that ensues forms the basis of understanding a research problem, finding the previously explored fron-tiers, identifying research gaps, which eventually leads to the development of new ideas. However, with the exponential growth of scientific literature (including published papers and pre-prints) (Ghosal, Sonam, Ekbal, Saha, & Bhattacharyya, 2019), it is almost impossible for a researcher to go through the entire body of the scholarly works even in a very narrow domain. Citations play an important role here in finding the relevant articles that further topical knowledge. However, not all citations are equally (Zhu, Turney, Lemire, & Vellino, 2015) effective in finding relevant re-search. A majority of the papers cite a work contextually (Pride & Knoth, 2017a) for providing additional background context. Such background contextual citations help in the broader under-standing; however, they are not central to the citing paper's theme. Some papers use the ideas in a given paper, build upon those ideas, and displace the body of relevant research. Such papers are expected to acknowledge the prior work (via citing them) duly. However, the nature of citation, in this case, is different from that of contextual citations. These citations, which heavily rely on a + + * equal contribution 1 Ghosal, T., Tiwary, P., Patton, R., and Stahl, C. (2021) Towards Establishing a Research Lineage via Identification of Significant Citations. Quantitative Science Studies. Advance Publication. https://doi.org/10.1162/qss_a_00170 Copyright: © 2021 Tirthankar Ghosal, Piyush Tiwary, Robert Patton and Christopher Stahl. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + given work or build upon that work, are significant citations. However, the current citation count metric puts equal weights on all the citations. Therefore, it is inadequate to identify the papers that have significantly cited a given work and may have taken the relevant research forward. Identify-ing such significant citations are hence crucial to the literature study. It is not uncommon that authors sometimes fail to acknowledge relevant papers' role in stemming up their ideas (Rousseau, 2007; Van Noorden, 2017). As a result, researchers spend a lot of their time searching for the most relevant papers to their research topic, thereby locating the subsequent papers that carried forward a given scientific idea. It is usually desirable for a researcher to un-derstand the story behind a prior work and trace the concept's emergence and gradual evolution through publications, thereby identifying the knowledge flow. Researchers ideally curate their lit-erature base by identifying significant references to a given paper and then hierarchically locating meaningful prior work. The idea of recognizing significant citations is also important to understand the true impact of given research or facility. To understand how pervasive particular research was in the community, it is essential to understand its influence beyond the direct citations it received. To this end, tracking transitive influence of research via identifying significant citations could be one possible solution. In this work, we develop automatic approaches to trace the lineage of given research via transi-tively identifying the significant citations to a given article. The overall objective of our work is two-fold: • Accelerate relevant literature discovery via establishing a research lineage • Find the true influence of a given work and its pervasiveness in the community beyond citation counts There are two aspects to the problem: identifying the relevant prior work and identifying the follow-up works that stemmed or are influenced by the current work. The first aspect would facilitate relevant prior literature discovery for a paper. In contrast, the second aspect would facilitate discovering knowledge flow in subsequent relevant papers. Obviously, our approach would not be a one shoe fits for all. Still, we believe it is effective to find investigations that build upon relevant priors, facilitate relevant literature discovery, and thereby steer towards identifying the pervasiveness of a given piece of research in the community. We base our work to classify citations as contextual or significant and trace the lineage of research in a citation graph via identifying significant edges. The major contributions of the current work are: 1. We use a set of novel and rich features to classify citations as significant or contextual. 2. A graph-based approach to trace the lineage of a given research work leveraging on citation classification. 2 Research Lineage The mechanism of citations in academia is not always transparent (Van Noorden & Singh Chawla, 2019; Vîiu, 2016; West, Stenius, & Kettunen, 2017). Problems like coercive citations (Wilhite & Fong, 2012), anomalous citations (Bai, Xia, Lee, Zhang, & Ning, 2016), citation manipulation (Bartneck & Kokkelmans, 2011), rich gets richer effects (Ronda-Pupo & Pham, 2018), discriminatory citation practices (Camacho-Mi ñano & N ú ñez-Nickel, 2009), etc. has infested the academic community. However, in spite of all these known issues, citation counts and h-indices still remain the measures of research impact and tools for academic incentives, though long-debated by many (Cerdá, Nieto, & Campos, 2009; Laloë & Mosseri, 2009). Usually, we measure the impact of a given paper by the direct citations it receives. However, a given research may have induced a transitive effect on other papers, which is not apparent with the current citation count measures. Figure 1 shows a sample citation network where A could be a paper or a research facility. We want to know how pervasive was the research or facility A in the community. At d=1 are the direct citations to A. We see article B cites A significantly, or B is inspired by A. Other citations to A are background. At citation depth d=2, we see that article C and article D significantly cites B (direct citation). We see that C also cites + + 2 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + Figure 1: Research Lineage A significantly. Finally, at citation depth d=3, E significantly cites C. We intend to understand if there is a lineage of research from A to E (A→B→C→E). Although E does not cite A directly, can we identify A's influence on E? If E is a seminal work receiving hundreds of citations, can we infer that A was the prior work that indirectly inspired E? We are interested in discovering such hidden inspirations to honestly assess the contributions of a research article or a facility. 3 Related Work Measuring academic influence has been a research topic since publications associate with academic prestige and incentives. Several metrics (Impact Factor, Eigen Factor, h-index, citation counts, alt metrics, etc.) came up to comprehend research impact efficiently. Still, each one is motivated on a different aspect and has found varied importance across disciplines. Zhu et al. (2015) did pio-neering work on academic influence prediction leveraging on citation context. Shi, Wang, Chen, Liu, and Zhou (2019) presented a visual analysis of citation context-based article influence rank-ing. Xie, Sun, and Shen (2016) predicted paper influence in an academic network by taking into account the contents and venue of a paper, as well as the reputation of its authors. Shen et al. (2016) used topic modeling to measure academic influence in scientific literature. Manju, Kavitha, and Geetha (2017) identified influential researchers in an academic network using a rough-set based selection of time-weighted academic and social network features. Pileggi (2018) did a citation net-work analysis to measure academic influence. F. Zhang and Wu (2020) used a dynamic academic network to predict the future influence of papers. Ji, Tang, and Chen (2019) analyzed the impact of academic papers based on improved PageRank. F. Wang, Jia, Liu, and Liu (2019) assessed the aca-demic influence of scientific literature via alt metrics. F. Zhao, Zhang, Lu, and Shai (2019) measured academic influence using heterogeneous author-citation networks. Recently, many deep learning-based methods are being explored for citation classification. Perier-Camby, Bertin, Atanassova, and Armetta (2019) attempt to compare deep learning-based methods with rule-based methods. They use deep learning-based feature extractors such as BCN (McCann, Bradbury, Xiong, & Socher, 2017) and ELMo (Peters et al., 2018) to extract semantic information and feed it to various classifiers for classification. They conclude that neural networks could be a potential dimension for citation clas-sification when a large number of samples are available. However, for a small dataset like the one we use, rule-based methods clearly hold an advantage. Apart from this, the features used in rule-based methods are more comprehensible than features extracted from deep learning methods, thus providing deeper insights into analyzing factors that make a citation significant or contextual. The closest literature for our task are the ones on citation classification. Citation classification has been explored in the works of Alvarez, Soriano, and Martínez-Barco (2017); Dong and Schäfer (2011); Qayyum and Afzal (2019); Teufel, Siddharthan, and Tidhar (2006). These works use features from the perspective of citation motivation. On the other hand there are works which emphasize on + + 3 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + features from semantic perspective. M. Wang et al. (2020) use syntactic and contextual information of citations for classification. Aljuaid, Iftikhar, Ahmad, Asif, and Afzal (2021); Amjad and Ihsan (n.d.) perform classification based on sentiment analysis of in-text citations. Athar (2011); Ihsan, Imran, Ahmed, and Qadir (2019) propose sentiment analysis of citations using linguistic studies of the citance. More recently, several open-source datasets for citation classification came up in the works of Cohan, Ammar, van Zuylen, and Cady (2019); Pride and Knoth (2020). Valenzuela, Ha, and Etzioni (2015) explored citation classification into influential and incidental using machine learning techniques which we adapt as significant and contextual respectively in this work. In this work, we propose a rich set of features informed from both citation and context (semantics) perspectives, leveraging advantages of both types, thus performing better than all of the methods mentioned above. However, our problem is motivated beyond citation classification. We restrict our classification labels to significant and contextual unlike Valenzuela et al. (2015) as these labels are enough to trace the lineage of a work. Furthermore, to the best of our knowledge, we did not find any work leveraging citation classification for finding a research lineage. Hence, we only compare our performance for the citation significance detection sub-task with other approaches. 4 Dataset Description We experiment with the Valenzuela dataset (Valenzuela et al., 2015) for our task. The dataset con-sists of incidental/influential human judgments on 630 citing-cited paper pairs for articles drawn from the 2013 ACL anthology, the full texts of which are publicly available. Two expert human annotators determined the judgment for each citation, and each citation was assigned a label. Us-ing the author's binary classification, 396 citation pairs were ranked as incidental citations, and 69 (14.3%) were ranked as influential (important) citations. For demonstrating our research lineage idea, we explore knowledge flow on certain papers of Document-Level Novelty Detection (Ghosal, Salam, Tiwari, Ekbal, & Bhattacharyya, 2018) and the High Performance Computing (HPC) algo-rithm MENNDL (Young, Rose, Karnowski, Lim, & Patton, 2015). Actual authors of these two topics helped us with manual annotation of their paper's lineage. 5 Methodology To identify significant citations, we pursue a feature-engineering approach to curate several fea-tures from cited-citing paper pairs. The objective is to classify the citations received by a given paper into SIGNIFICANT and CONTEXTUAL. The original cited citing papers in the Valenzuela dataset are in PDF. We convert the PDFs to corresponding XMLs using GROBID (Lopez, 2009). We use GROBID to parse our PDFs into XMLs as well as manually correct a few inconsistent files so that there is no discrepancy. 1. Citation frequency inside the body of citing paper (F1): We measure the number of times the cited paper is referenced from within the citing paper's body. The intuition is that if a paper is cited multiple times, the cited paper may be significant to the citing paper. 2. Are the authors of citing & cited paper the same? (Boolean) (F2): We check if the authors of the citing and cited paper are the same. This might be the case of self-citation or can also signal the extension of the work. 3. Author overlap ratio (F3): This measures number of common authors in citing and cited paper normalized to the total number of authors in citing paper. Intuition is similar to F2. 4. Is the citation occurring in a table or figure captions? (Boolean) (F4): The intuition is that most of the citations in tables & figures appear for comparison/significantly referencing existing work. Hence, the citing paper might be an extension of the cited article or may have compared it with earlier significant work. 5. Is the citation occurring in groups? (Boolean) (F5): We check if the citation is occurring along with other citations in a group. Intuition is that such citations generally appear in related works to highlight a background detail; hence, they might not be a significant citation. + + 4 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + 6. Number of citations to the cited paper normalized by the total number of citations made by the citing paper (F6): This measures number of citations to the cited paper by the citing paper normalized by the total number of citation instances in the citing paper. This measures how frequently the cited paper is mentioned compared to other cited papers in the citing paper. 7. Number of citations to the cited paper normalized by the total number of bibliography items in the citing paper (F7): This measures number of citations to the cited paper nor-malized to the total number of bibliography items in the citing paper. Intuition is similar to F6. 8. tf-idf similarity between abstracts of the cited and citing paper (F8): We take cosine simi-larity between the tf-idf representations of the abstracts of cited and citing papers. Intuition is that if the similarity is higher, the citing paper may be inspired/extended from the cited paper. 9. tf-idf similarity between titles of the cited and citing paper (F9): We take cosine similarity between the tf-idf representations of the titles of cited and citing papers. 10. Average tf-idf similarity between citance and abstract of the cited paper (F10): We calcu-late the similarity of each citance with the abstract of the cited article and take the average of it. Citances are sentences containing the citations in the citing paper. Citances reveal the purpose of the cited paper in the citing paper. Abstracts contain the contribution/purpose statements of a given paper. Hence similarity with citances may construe that the cited paper may have been used significantly in the current paper. 11. Maximum tf-idf similarity between citance and abstract of the cited paper (F11): We take the maximum of similarity of the citances (there could be multiple citation instances of the same paper in a given paper) with the abstract of the cited paper. 12. Average tf-idf similarity between citance and title of the cited paper (F12): We calculate the similarity of each citance with the title of the cited paper and take an average of it. 13. Maximum tf-idf similarity between citance and title of the cited paper (F13): We take the maximum of similarity of the citances with the title of the cited paper. 14. Average Length of the Citance (F14): Average length of the citances (in words) for multiple citances. Intuition is that if the citing paper has spent many words on the cited article, it may have significantly cited the corresponding article. 15. Maximum Length of the Citance (F15): Maximum length of the citances (in words). 16. No. of words between citances (F16): We take the average of the number of words between each pair of consecutive citance of the cited paper. This is set to 0 in the case of a single citance. 17. In how many different sections does the citation appear in the citing paper? (F17): We take the number of different sections in which the citation to cited paper occurs and normalize it with the total number of sections present in the citing paper. Intuition is that if a citation occurs in most sections, it might be a significant citation. 18. Number of common references in citing & cited paper normalized by the total number of references in citing article (F18): We count the number of common bibliographic items present in the citing & cited paper and normalize it with total bibliographic items present in the citing paper. 19. Number of common keywords between abstracts of the cited and citing paper extracted by YAKE (Campos et al., 2018) (F19): We compare the number of common keywords between abstract of citing & cited paper extracted using YAKE. Our instinct is that more number of common keywords would denote more similarity between abstracts. 20. Number of common keywords between titles of the cited and citing paper extracted by YAKE (F20): We compare the number of common keywords between the title of citing & cited paper extracted using YAKE. + + 5 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + 21. Number of common keywords between the body of the cited and citing paper extracted by YAKE (F21): We compare the number of common keyword between the body of citing & cited paper extracted using YAKE. 22. Word Mover's Distance (WMD) (Huang et al., 2016) between abstracts of the cited and citing paper (F22): We measure the WMD between abstracts of citing & cited paper. The essence of this feature is to calculate semantic distance/similarity between abstracts of the two papers. 23. WMD between titles of the cited and citing paper (F23): We measure the WMD between title of citing & cited paper. 24. WMD between the body of the cited and citing paper (F24): We measure the WMD be-tween the body of citing & cited paper. 25. Average WMD between citance and abstract of the cited and citing paper (F25): We take the average of WMDs between citance and abstract of the cited paper. 26. Maximum WMD between citance and abstract of the cited and citing paper (F26): We take the maximum of WMDs between citance and abstract of the cited paper. 27. Average VADER (Gilbert & Hutto, 2014) Polarity Index -Positive (F27), Negative (F28), Neutral (F29), Compound (F30): We measure VADER polarity index of all the citance of cited paper, and take their average for each sentiment (positive, negative, neutral & com-pound). 28. Maximum VADER Polarity Index -Positive (F31), Negative (F32), Neutral (F33), Com-pound (F34) of Citances: We measure VADER polarity index of all the citance of cited paper, and take maximum among them for each sentiment (positive, negative, neutral & compound). The intuition to use sentiment information is to understand how the citing pa-per cites the cited paper. 29. Number of common venues in Bibliography of citing and cited paper (F35): We count the number of common venues mentioned in the bibliography of citing & cited paper and normalize it with the number of unique venues in citing paper. Higher venue overlap would signify that the papers are in the same domain (Ghosal, Sonam, et al., 2019). 30. Number of common Authors in Bibliography of citing and cited paper (F36): We count the number of common authors mentioned in the bibliography of citing & cited paper and normalize it with the number of unique authors in citing paper (Ghosal, Sonam, et al., 2019). As mentioned earlier, only 14.3% of total citations are labeled as significant, which poses a Class Imbalance problem. To address this issue, we use SMOTE (Chawla, Bowyer, Hall, & Kegelmeyer, 2002) along with random under-sampling of majority (contextual citation) class. We first split the dataset into 60% training & 40% testing data. Then we under-sample the majority class by 50%, and then we over-sample the minority class by 40%, on the training partition of the dataset. 6 Evaluation Our evaluation consists of two stages: first, we evaluate our approach on the citation significance task. Next, we try to see if we can identify the research lineage via tracing significant citations across the two research topics (Document-level Novelty and MENNDL). We ask the original authors to annotate the lineage and verify it with our automatic method. We train our model on the Valen-zuela dataset and use that trained model to predict significant citations of Document-level Novelty and MENNDL papers, thereby try to visualize the research lineage across the citing papers. We cu-rate a small citation graph to demonstrate our idea. Please note that our task in concern is Citation Significance Detection, which is different from Citation Classification in literature. Whereas Cita-tion Classification focuses on identifying the citation's intent, Citation Significance aims to identify the value associated with the citation. Obviously, the two tasks are related to each other, but the objectives are different. + + 6 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + 6.1 Citation Significance Detection The goal of this task is to identify whether a citation was SIGNIFICANT or CONTEXTUAL. We experiment with several classifiers for the binary classification task such as kNN (k = 3), Support Vector Machines (kernel = RBF), Decision Trees (max depth = 10) and Random Forest (n estimators = 15, max depth = 10). We found Random Forest to be the best performing one with our feature set. Table 1 shows our current results against the earlier reported results on the Valenzuela dataset. We attain promising results compared to earlier approaches with a relative improvement of 20 points in precision. Since the dataset is small, none of the earlier approaches or we attempted a deep neural approach on this dataset. Like us, Qayyum and Afzal (2019) also used Random Forest as the classifier; however, they relied on meta data features rather than content-based features for their work. Their experiments tried to answer: to what extent can the similarities and dissimilarities between metadata parameters serve as useful indicators for important citation tracking? which metadata parameters or their combinations are helpful in achieving good results? We specifically work with paper full-text content-based features, hence our approach leverages richer information since it takes into consideration the full-text of the works, whereas Qayyum and Afzal (2019) is solely based on metadata which helps us to achieve better performance. Table 2 shows classification results of the various classifiers we experimented with. Clearly, our features are highly inter-dependent (Section 5), and hence it explains the better performance of Random Forests. Methods Precision Valenzuela et al. (2015) 0.65 Qayyum and Afzal (2019) 0.72 Nazir, Asif, and Ahmad (2020) 0.75 Nazir, Asif, Ahmad, Bukhari, et al. (2020) 0.85 Current Approach 0.92 Table 1: Results on Citation Significance Detection on Valenzuela dataset Methods Precision Recall F1-Score Accuracy kNN 0.80 0.87 0.83 0.81 SVM 0.79 0.67 0.73 0.81 Decision Tree 0.80 0.82 0.81 0.86 Random Forest 0.92 0.82 0.87 0.90 Table 2: Classification Result of various Classifiers for Citation Significance Figure 2 shows the importance of the top 10 features ranked as per their information gain. How-ever, our experimental dataset is small, our features co-related, and hence it seems that some fea-tures have marginal contributions. We deem that in a real-life bigger dataset, the feature signifi-cance would be more visible. Here, we can see that features like distance between citances, the number of concerned citation normalized by the total number of citations, similarity between cited-citing abstracts, in-text citation frequency, the similarity between citance & cited abstract, play an important role in the classification. The other features featuring in the top 10 are: distance between citance, number of cita-tions from citing to cited normalized by the total citations made by the citing paper, the similarity between cited-citing abstracts, in-text citation frequency, the average similarity between citance & cited abstract, number of citations from citing to cited normalized by the total references made by the citing paper, number of common YAKE keywords between the body of citing and cited paper, the average similarity between ci-tance and title of cited paper, the max similarity between citance and abstract of cited paper, neutral sentiment polarity of citance. We explain the possible reasons behind the performance of these features in the subsequent sections. The precision with only using the top 10 features is 0.73. Hence, other features play a significant role, as well. A complete list of features and the corresponding information gain + + 7 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + Information Gain 0.025 0.1 0.15 Features F16 F7 F8 F1 F10 F6 F21 F12 F13 F33 Figure 2: Feature importance ranked via Information Gain. Feature IG Feature IG Feature IG F16 0.147 F24 0.024 F30 0.015 F7 0.070 F13 0.022 F27 0.015 F8 0.070 F33 0.021 F31 0.015 F1 0.065 F18 0.020 F32 0.014 F10 0.061 F3 0.020 F15 0.014 F6 0.041 F23 0.019 F9 0.013 F21 0.033 F35 0.019 F17 0.011 F12 0.031 F34 0.017 F36 0.011 F13 0.030 F19 0.017 F4 0.006 F33 0.030 F22 0.016 F5 0.006 F35 0.025 F28 0.016 F2 0.004 F26 0.024 F25 0.016 F20 0.003 Table 3: Information Gain (IG) due to each feature. Features are ranked in decreasing order of Information Gain. is given in Table 3 To analyze the contribution of each feature, we evaluate our model using single feature at a time similar to Valenzuela et al. (2015). The precision after considering each feature individually is shown in Table 4. It is seen that the first 28 features in the table contribute significantly in classifi-cation, and the overall precision after considering all the features is even better (an improvement of 14 points). F1, F4 (suggesting that significant citations do occur in tables or figures) and F21 followed by F7, F19, and F3 are the best performing features. This indicates that features obtained from citation perspective are more useful. On the other hand the least performing features are F20 (perhaps due to small size of dataset), F13, F5 (suggesting significant citations also occur in groups), F17, F2, F22 and F33. Most of our observations are in line with Valenzuela et al. (2015). To mention here, authors in Pride and Knoth (2017b) found Number of Direct Citations, Author Overlap, and Abstract Similarity to be the most important features. Our approach performs good enough to proceed with the next stage. It is important to note that despite so many features, it is possible that some features might be correlated. Hence, we find the Pearson's correlation coefficient between each pair of feature to see + + 8 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + Feature Precision Feature Precision Feature Precision F1 0.78 F15 0.28 F25 0.15 F4 0.76 F8 0.27 F11 0.14 F21 0.71 F10 0.27 F24 0.13 F7 0.68 F9 0.25 F31 0.11 F19 0.61 F27 0.23 F26 0.10 F3 0.50 F23 0.20 F33 0.08 F16 0.47 F36 0.20 F22 0.07 F28 0.43 F35 0.20 F2 0.04 F35 0.37 F12 0.19 F17 0.04 F6 0.33 F34 0.19 F5 0.03 F32 0.33 F30 0.17 F13 0.03 F33 0.29 F18 0.15 F20 0.01 Total 0.92 Table 4: Performance of Random Forest Model by using individual feature at a time. The features are listed in decreasing order of the precision. how they are dependent on each other. The heatmap of correlation matrix is shown in Fig. 3. Figure 3: Heatmap of correlation between various pair of features. We find that the average correlation coefficient between all the features is 0.074. However, there are few pairs of features which have high correlation coefficients. We have listed such pairs in Table 5. From Table 5 we can see that feature pairs like F10 & F11, F30 & F34, F28 & F32, F27 & F31, F12 & F13, F25 & F26, F29 & F33 have high correlation, which is understandable as these pairs are nothing but maximum and average of same quantity measured throughout the corresponding + + 9 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + Feature Pair Correlation Coefficient Feature Pair Correlation Coefficient F10 & F11 0.937 F25 & F26 0.910 F30 & F34 0.919 F9 & F20 0.907 F28 & F32 0.917 F29 & F33 0.905 F27 & F31 0.914 F1 & F15 0.835 F12 & F13 0.910 F27 & F29 0.832 Table 5: Feature pairs with high correlation coefficient. literature. Hence, in order to reduce the complexity of the classifier, one may use just one of the features from each pair. The results after combining these features is shown in Table 6. It can be seen that even after clubbing these features there is no significant degradation in performance of our model. Precision Recall F1 Score Accuracy 0.91 0.80 0.85 0.89 Table 6: Citation significance results after combining features on the Valenzuela dataset 6.2 The 3C Dataset As we mention earlier, the dataset used is small due to which the significance of each feature might not be visible explicitly. Hence, we also test our method on the 3C dataset which is relatively a bigger one. The 3C Citation Context Classification 1 Shared Task organized as part of the Second Workshop on Scholarly Document Processing @ NAACL 2021 is a classification challenge, where each citation context is categorized based on its purpose and influence. It consists of 2 subtasks: • Task A: Multiclass classification of citation contexts based on purpose with categories -BACK-GROUND, USES, COMPARES CONTRASTS, MOTIVATION, EXTENSION, and FUTURE. • Task B: Binary classification of citations into INCIDENTAL or INFLUENTIAL classes, i.e. a task for identifying the importance of a citation The training and test dataset used for Task A and Task B are the same. The training data and test data consist of 3000 and 1000 instances, respectively. We use the data for Task B in for our experiments. However, the 3C dataset doesn't provide us with full text due to which we are only able to test only 19 of our features. We achieved an F1 score of 0.5358 with these 19 features on the privately-held 3C test set. Our relevant features in use here are: F1, F2, F9, F10, F11, F12, F13, F14, F15, F20, F23, F27, F28, F29, F30, F31, F32, F33, F34. We provide the results on the validation set using a random forest classifier in Table 7. The best performing system in 3C achieved an F1 score of 0.60 while the baseline F1 scores was 0.30. Precision Recall F1 Score Accuracy 0.569 0.575 0.572 0.606 Table 7: Citation Influence Classification Results on 3C Validation Set using a Random Forest Classifier 6.3 Research Lineage: Case Studies Our end goal is not just citation classification but to make use of a highly accurate citation signifi-cance detection approach to trace significant citations and thereafter, try and establish a lineage of + + 1 https://sdproc.org/2021/sharedtasks.html#3c + + 10 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + the given research. As explained in Section 2, by research lineage we aim to identify the idea prop-agation via tracking the significant citations. To achieve this, we create a Significant Citation Graph. A Significant Citation Graph (SCG) is a graph-like structure, where each node represents a research paper. There is a directed edge between each cited-citing pair, whose direction is from cited pa-per node to citing paper node, indicating the flow of knowledge from cited paper to citing paper. In a usual case, all citations have equal weights in a citation graph. However, in our case, each edge is labeled as either significant or contextual, using the approach we discussed in the previous section. Our idea is similar to that of existing scholarly graph databases; however, we go one step further and depict how a particular concept or knowledge has propagated with consecutive citations. Algorithm 1: Algorithm to Create Significance Citation Graph Input: Trained Model & concerned research document, P Output: Adjacency List for Citation Graph 1 Initialize adjacency list, A 2 Initialize an empty queue, Q 3 Q.add(P ) 4 while Q is not empty do 5 for Each citation, C in Q[0] do 6 Extract features (F1-F36) for C 7 if C is Significant and C is not in Q then 8 Q.add(C) 9 A[Q[0]].add(C) 10 Q.pop() 11 return A Algorithm 1 shows the method to create the adjacency list for the SCG. The Citation Signifi-cance Detection ML model is trained on a given dataset (Valenzuela in our case). To demonstrate the effectiveness of our method, we present a SCG for a set of papers on Document-Level Novelty Detection and MENNDL. Being the authors of the papers on these topics, we have identified the significant citations of each paper and used it to test the effectiveness of our proposed method to create an SCG. 6.3.1 Case Study I: Document-Level Novelty Detection Figure 4 denotes an excerpt of a SCG from our Document-Level Novelty Detection papers. The red edges denote significant citations whereas black edges denote contextual citations. Our approach determined if a citation edge is significant or contextual. In the citation graph, we are interested in the lineage among four textual novelty detection papers (P1, P2, P3, P4), which the original authors annotate. We annotated that P1 is the pivot paper which introduced their document-level novelty detection dataset, and their other papers P2, P3, P4 are based on P1. While P2 and P4 address novelty classification, P3 aims to quantify textual novelty. Our approach conforms to the annotation by the original authors. With P1 as the pivot we can see that there are significant edges from P1 to each of P2, P3, and P4. There is also a significant edge between P2 and P4. However, there is no edge between P2 and P3, as they were contemporaneous submissions and their objective was different (P2 was about novelty classification and P3 was about novelty scoring). P1 → P2 → P4 forms a research lineage as P2 extends on P1 and P4 extends on P2. Furthermore, we see that P12, P25, P24, P22 (transitively) are some influential papers for P1. We verified from the authors that P25 was the paper to introduce the first document-level novelty detection dataset but from an information retrieval perspective. P25 inspired the authors to create the dataset in P1 for ML experiments. We construe that P12, P22, P24 had a significant influence on their investigations with P1. Hence, our approach (trained on a different set of papers in Valenzuela dataset) proved successful to identify the significant citations and thereby also identify the corresponding lineage. + + 11 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + Figure 4: Significant Citation graph for a set of papers on Document-Level Novelty Detec-tion. Please refer to the bibliography for the paper details. P1→Ghosal, Salam, et al. (2018), P2→Ghosal, Edithal, et al. (2018), P3→Ghosal, Shukla, et al. (2019), P4→Ghosal et al. (2020), P6→Soboroff and Harman (2003), P7→P. Zhao and Lee (2016), P8→Colomo-Palacios et al. (2010), P9→Tang et al. (2010), P11→Kusner et al. (2015), P12→Li and Croft (2005), P17→Schiffman and McKeown (2005), P22→Allan et al. (2003), P23→Soboroff and Harman (2005), P24→Karkali et al. (2013), P25→Y. Zhang et al. (2002), P28→F. Zhang et al. (2015) 6.3.2 Case Study II: MENNDL HPC Algorithm We went ahead to test our approach's efficacy to predict the lineage of a high-performance comput-ing algorithm MENNDL. We show the research lineage of MENNDL Young et al. (2015) in Figure 5. We ask the original authors to annotate their research progression with MENNDL. As per the authors, the first paper to describe the MENNDL algorithm came in 2015, which is deemed as the pivot (P9). The follow-up paper that carried forward the work in P9 was P4 in 2017. Then P1 came in 2018 that built upon P4. P7, P12 came as extensions over P4. Next, P6 came in 2019 that took forward the work from P1. With P9 as the source, our approach correctly predicted the lineage as P 9 → P 4 → P 1 → P 6. Also, the lineage P 9 → P 4 → P 12 and P 9 → P 4 → P 7 via tracing significant citations could be visible in the SCG at Figure 4. We annotate P8 as an application of P9; hence no significant link exists between P9 and P8. From the above experiments and case studies, it is clear that our proposed method works reason-ably well when a paper cites the influencing paper meaningfully. However, there are cases where some papers do not cite the papers from whom they are inspired. In such cases, our method would not work. 7 Conclusion and Future Work Here, in this work, we present our novel idea towards finding a research lineage to accelerate liter-ature review. We achieve state-of-the-art performance on citation significance detection, which is a crucial component to form the lineage. We leverage on that and show the efficacy of our approach on two completely different research topics. Our approach is simple and could be easily imple-mented on a large-scale citation graph (given the paper full-text). The training dataset is built from NLP papers. However, we demonstrate our approach's efficacy by testing on two topics: one from NLP and the other from HPC, hence establishing that our approach is domain-agnostic. Identifying significant citations to form a research lineage would also help the community to understand the real impact of a research beyond simple citation counts. We would look forward to experimenting + + 12 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + + Figure 5: Significant Citation graph for a set of papers on MENNDL HPC algorithm. Please refer to the bibliography for the corresponding paper details. P1→Patton et al. (2018), P4→Young et al. (2017), P6→Patton et al. (2019), P7→J. T. Johnston et al. (2019), P8→T. Johnston et al. (2017), P9→Young et al. (2015), P12→Chae et al. (2019), P13→Jia et al. (2014), P14→Saltz et al. (2018), P15→Thorsson et al. (2018), P16→Bottou (2010), P17→Noh et al. (2015), P18→Lucchi et al. (2014), P19→Baldi et al. (2014), P20→Ciregan et al. (2012), P25→Y. Zhang et al. (2002), P28→F. Zhang et al. (2015) with deep neural architectures to identify meaningful features for the current task automatically. Our next foray would be to identify the missing citations for papers which may have played instru-mental role in certain papers but unfortunately are not cited. We release all the codes related to our experiment at https://figshare.com/s/2388c54ba01d2df25f38 + +
8 Author's Contribution The first author conceptualized the work along with carrying out the investigation, formal analysis, data curation, methodology, baselines codes, and writing the original draft. The second author led the implementation, contributed in the formal analysis, and writing the paper draft. The third author was engaged in the overall supervision, funding acquisition, and providing resources for the investigation. The fourth author contributed towards the problem statement, data curation, writing-review and editing, and project administration.
+ +
9 Acknowledgement This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Gov-ernment retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government pur-poses. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/ doe-public-access-plan). The first author also thanks the Oak Ridge Institute for Science and Education (ORISE) to spon-sor the first author for the Advanced Short-Term Research Opportunity (ASTRO) program at the Oak Ridge National Laboratory (ORNL). The ASTRO program is administered by the Oak Ridge
+ + 13 + + Downloaded from http://direct.mit.edu/qss/article-pdf/doi/10.1162/qss_a_00170/1971219/qss_a_00170.pdf by guest on 27 November 2021 + +
Institute for Science and Education (ORISE) for the U.S. Department of Energy. The first author also acknowledges the Visvesvaraya PhD fellowship award VISPHD-MEITY-2518 from Digital In-dia Corporation under Ministry of Electronics and Information Technology, Government of India.
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diff --git a/grobid-trainer/resources/dataset/segmentation/corpus/tei/socsci-10-00292-v2_segment_funding_missed.training.segmentation.tei.xml b/grobid-trainer/resources/dataset/segmentation/corpus/tei/socsci-10-00292-v2_segment_funding_missed.training.segmentation.tei.xml new file mode 100644 index 0000000000..369adfccd8 --- /dev/null +++ b/grobid-trainer/resources/dataset/segmentation/corpus/tei/socsci-10-00292-v2_segment_funding_missed.training.segmentation.tei.xml @@ -0,0 +1,259 @@ + + + + + + + $ € £ ¥ social sciences Article Young Children's Learning about Hunger and Satiety through the Lens of the Norms of Those Who Feed Them Anne Dupuy 1,2, * , Sophie Nicklaus 3 , Camille Schwartz 3 , Stéphanie Goirand 1 and Laurence Tibère 1,2 Citation: Dupuy, Anne, Sophie Nicklaus, Camille Schwartz, Stéphanie Goirand, and Laurence Tibère. 2021. Young Children's Learning about Hunger and Satiety through the Lens of the Norms of Those Who Feed Them. Social Sciences 10: 292. https://doi.org/10.3390/ socsci10080292 Academic Editor: Nigel Parton Received: 20 May 2021 Accepted: 26 July 2021 Published: 30 July 2021 Publisher's Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affil-iations. Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). 1 Centre d'Étude et de Recherche Travail Organisation Pouvoir, UMR CNRS 5044, CEDEX 9, F-31058 Toulouse, France; stephanie.goirand@univ-tlse2.fr (S.G.); tibere@univ-tlse2.fr (L.T.) 2 Institut Supérieur du Tourisme de l'Hôtellerie et de l'Alimentation, University of Toulouse-Jean Jaurès, CEDEX 9, F-31058 Toulouse, France 3 Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université Bourgogne Franche-Comté, F-21000 Dijon, France; sophie.nicklaus@inrae.fr (S.N.); camille.schwartz@inrae.fr (C.S.) * Correspondence: anne.dupuy@univ-tlse2.fr Abstract: This article focuses on parental perceptions of signs of hunger and satiety in children under 4 years of age and their effects on feeding practices, in a sample of parents of children with typical development. Discourse analysis shows the close relationships between social food norms, nutritional norms, medicalized child care norms, and educational norms in adults' determination of children's appetites according to their perceived needs and psychomotor development. The results also indicate how these norms are expressed according to social position, parental experience and context. More broadly, this article addresses top-down education-from adults to children-in food socialization, and points to the varying attention paid to the signals given by the child. It thus highlights some of the processes by which biological, psychological and social factors interact in socializing children to food. Keywords: hunger; appetite; satiety; satiation; socialization; children; norms + + 1. Introduction Current knowledge about the determinants of hunger and satiety in young children is based on two observations. The first concerns the innate ability of infants to control the amount of food they eat. In this case, stopping sucking and later eating when they are satiated. The second relates to the diminishment of this ability as infants get older (Birch 1990; Birch et al. 1991; Birch and Fisher 1998; Remy et al. 2015; Shloim et al. 2018) and to their socialization contexts, which are primarily studied based on parental feeding practices or interactions between the feeder and the infant. The growing interest in this area of research lies in a better understanding of the behaviors of children who are eating beyond the sensation of satiation. The development of overweight and obesity in young children has led to a focus on the role of the caregivers during feeding. The aim is to analyze the incentives to eat more (or less) and their impact on food regulation (Remy et al. 2015; Hetherington 2017; Monnery-Patris et al. 2019). Some findings suggest that discordant parent-child interaction during a meal results in increased intake amounts and/or frequency, and impairs the infant's innate ability to adjust energy intake to their needs (McNally et al. 2016). Others question parental feeding practices. The use of pressure (forcing one's child to eat or finish a food), restriction (voluntarily limiting the consumption of a food or food group), as well as emotional feeding (offering a food to a child either as a reward for good behavior or in response to a negative emotion) appear to interfere with the infant's innate ability to respond to hunger and satiation signals (Schwartz et al. 2011). These aspects would result in accelerated infant weight gain (Di Santis et al. 2011). The "responsive feeding" approach (Perez-Escamilla et al. 2017; Pérez-Escamilla et al. 2019), which refers to a way of feeding + + Soc. Sci. 2021, 10, 292. https://doi.org/10.3390/socsci10080292 https://www.mdpi.com/journal/socsci + + Soc. Sci. 2021, 10, 292 + + 2 of 35 + + that is more centered on the expressed needs and behavior of the child, is an illustration of the shifts in the nutritional management of educational feeding practices between scientific contributions and the production of public policies. For instance, in France, some recent developments in understanding the regulation of food intake are leading to new recommendations in nutritional policies (ANSES 2019; HCSP 2020). These new recommendations were based on the nutritional policy of the United States, in particular that gathered in the Feeding Guidelines for Infants and Young Toddlers included in the Dietary Guidelines for Americans. These changes may generate some norms, particularly in professional parenting support and medicalized child care. The present research is carried out in this context of knowledge development and normative contents centered on the child. The socioanthropological angle analyzes parents' perceptions of signs of hunger and satiety or those associated with child development, in their social dimensions. This article focuses on the close links between social food norms and educational norms in the social regulation of the child's appetite and satiation, determining when the child can or should be hungry and at which moment to eat and to stop eating. The interest of a multidisciplinary approach lies in the articulation of these social processes with the psychosensory and psychomotor dimensions as perceived by the adult nurturers, and from which the feeding and food education practices are organized. The aim is to identify what, in these practices, refers to adjustments to signals emitted by the child or perceived as such, and what pertains to the social food norms internalized by the parents and implemented in an educational situation. The focus is on the ways in which dietary and educational models (in feeding) deal with the physiological (hunger, satiety, satiation), psychosensory (pleasure, displeasure) and developmental (growth, weight status) signals of the child. Additionally, how this management is deployed according to the social group, the child's sex and the parental experience, which can oscillate between reflexive or self-evident education, but also between top-down and bottom-up education. The social regulation of feeding behaviors involved in the socialization of infants is a long-established topic in sociology (Durkheim [1894] 1981) and anthropology (Mauss 1936). In particular, research emphasizes the increments of circadian rhythms on social rhythms, which then play on the biological level through the influence of social norms on the physiological competence of infants. The socioanthropological perspective underlines the fact that these social processes affect the biological via interaction phenomena; at the level of the individual, they will socialize the biological body and the impulses (understood as psychological impulses generating motricity) and, at the level of human generations, they will participate in the expression or inhibition of genetic characteristics (Poulain 2005). The interplay between the social, the biological and the ecological is pointed out to show how eating behavior is determined in the course of development and socialization. In the dialogue with nutrigenetics and psychology, the process of expression or non-expression of certain phenotypes resulting from these interactions is shown-so are the programming of the infant's physiological competences, all the sensory-motor and sensory learnings, and table manners acquired later during socialization within social food spaces (Poulain 2002, 2005, 2017). This article seeks to extend this analysis. In line with Matty Chiva's work on the sociocognitive, relational and affective modalities at work in child development, we are interested in the interplay between the biological, the psychological and the sociological, which is all the more significant given that the infant comes into the world in a state of incompleteness (Hubert 2000), since it survives only through total dependence on its nur-turing environment (Dupuy 2017a). While this aspect is mostly addressed by examining the transition between sensation and perception from gusto-facial reflexes to the development of neophobia (Fischler 1990; Fischler and Chiva 1986; Birch et al. 1987; Pliner 1994; Nick-laus et al. 2005; Rigal et al. 2006; Rochedy and Poulain 2015), the bio-psycho-sociological co-shaping of physical sensations related to hunger and satiety is less documented. Some studies focus on the social processes that dictate when, how, and for how long children should eat (Bril et al. 2001; Gojard 2001; Poulain 2002; Ochs and Shohet 2006; Ricroch and + + Soc. Sci. 2021, 10, 292 + + 3 of 35 + + Saint Pol 2012; Skafida 2013; Dupuy 2013; Lhuissier et al. 2013; Poulain 2017). Others ex-plore further the socially differentiated modalities of incorporating and regulating physical sensations such as the expression of appetite and satiation (Le Pape and Plessz 2017). In studies focusing on the sociology of food, transmission and incorporation of normative pre-scriptions are viewed instead through the lens of parents' socially structured relationship to nutritional and child care norms (Gojard 2006; Dhuot 2018) in order to emphasize the early acquisition of social differentiation processes. A previous analysis of the corpus collected in our research focused on the perceptions of hunger and satiety by home-based childminders by looking at the "food work 1 " they implement in the exercise of their job (Dupuy et al. 2018b). We have seen, based on other studies (Dupuy 2013; O'Connell and Brannen 2016; Dupuy 2017b; Cardon et al. 2019), that "food work" requires significant adjustments between parents and professionals. These vary with experience (professional or parental) in child care and with the gap between parents' and professionals' social positions, as these aspects affect professionals' educational positioning. Through the analysis of the "food work" contours, the teaching of social rules relating to the management of appetite and satiation-strongly emphasized by professionals-was interpreted as a way to establish a double legitimacy: both professional and social. Finally, in another article, attention was paid to the derogatory modalities involved in the interactions between the feeding environment and the infant. This focus on feeding contexts encourages consideration of the complexity of feeding relationships and educational practices (Tibère and Dupuy 2021). This article extends the analysis of the bio-psycho-social processes involved in regu-lating hunger and satiety through a discussion focused on adults' perceptions (and their socially differentiated modes of expression) of such processes in the young child. The objective is to identify the ways in which parents perceive the needs and state of the young child and how these perceptions influence the "food work". The aim is also to understand the status of the child's psychomotor development in these perceptions, the evolution of the food repertoire associated with these changes, and the dynamics that shape chil-dren's daily eating practices, such as those that underlie the relationship to pleasure or the consideration of the staturo-ponderal growth, which also partly determine the con-trol of children's appetite and satiation through their socialization. This article proposes to answer the following research question: How do standards structure food parenting practices? Methodologically, this research question involves (i) identifying norms visible in the discourses of parents (lexicometric analysis) and (ii) socially appropriate in the lived experience of their children's food socialization (content analysis and photos elicitation). This double analysis then makes it possible to identify the standards on which parents actually rely to educate their children and to discuss the process of appropriation of new standards resulting from scientific knowledge (and their use in public policies) that may go against their sense of top-down parental education. 2. Materials and Methods 2.1. Study Design and Participants This qualitative study, based on semi-structured face-to-face interviews conducted in the respondents' homes and/or workplaces, was conducted in 2016 in France and involved 28 parents of children under the age of 4 and 25 home-based childminders. Our research is based on the analysis of the dietary socialization of children with a development considered in pediatrics as" typical ", but no exclusion criteria were, however, considered. We reconcile approaches on child development (psychology) and those on socialization (sociology) but we do, however, assume a critical perspective regarding the primacy of developmental thought, in the West, which institutes "normal" childhood. A combination of methods for data collection were used: two interviews per family, the "photo elicitation interview" method (Collier and Collier [1976] 1986) to understand the child's diet and contextualize it (Dupuy et al. 2018a), and finally cross-interviews of parents and home-based childminders, including six parents/home-based childminders of the same children dyads. + + Soc. Sci. 2021, 10, 292 + + 4 of 35 + + For initiating contact, intermediaries were sought, i.e., individuals who had either a weak or strong indirect link with the participants. For parents, the "snowball" method was adopted and combined with direct contact in parks and child care facilities with an inclusion criterion: to be a parent of at least one child aged 3 years old or less. No exclusion criteria. Recruitment was conducted directly orally or indirectly in writing by presenting the research objectives. Of the parents, 20 were interviewed twice, at least one month apart, with an average of two and a half hours of interview time per family. Each interview was recorded and then fully transcribed. For this article, we focus only on the parental data. This is a comprehensive type of qualitative sociological survey in a view close to Grounded Theory, which breaks with the hypothetico-deductive model. Thus, the a priori definition of the number and characteris-tics of respondents to be selected is not subject to representativeness in the statistical sense but responds to a dynamic of back and forth and constant adjustments between research hypotheses, analytical work and the accumulation of data from the field which leads to saturation effects, e.g., when the new data no longer modify the gradually developed theoretical framework. 2.2. Socioeconomic Characteristics The interviews took place mainly in the Toulouse area, the fourth largest city in France. The parents came from a variety of socioeconomic backgrounds: eight parents had a high socioeconomic status, four were downgraded (their professional status was lower than what they could expect given their level of education), nine were of the middle class, four belonged to the working class, and four were in a state of poverty. Among the 28 families, the mothers' ages ranged from 24 to 42, with an average age of 32 years (σ = 4.84). Fathers ranged in age from 22 to 49, with an average age of 34 (σ = 6.51). Of the families interviewed, sixteen had a single child, eight had two children, and three had three children. Of the 28 households, 24 were couples and only three were single-parent families. Of the children represented in this qualitative study, there were nineteen boys and eleven girls; they ranged in age from 5 to 48 months, with an average age of 23.7 months. Among them, three were primarily looked after by their parents, thirteen were looked after by a home-based childminder, ten were in a collective day-care center, and four were in an alternating parent/childminder arrangement at home. The characteristics of the parents and their children are detailed in Table 1. Table 1. Socioeconomic characteristics of participants. Status in the Household Mothers Fathers Children Involved Population, n 28 25 30 (11 girls, 19 boys) Age in months or years, n <6 months 6-11 months 12-18 months 19-24 months 25-30 months 31-36 months 24-29 years old 30-35 years old 36-40 years old 41-49 years old Unknown 8 12 5 2 1 6 (7 + 1 *) 6 6 2 1 4 6 4 7 8 Socioeconomic status, n High 8 Middle class 9 Working class 4 Downgraded 4 Poverty 3 Childbirth, n Primiparous 16 Multiparous (including twins) 12 * Information provided by a single mother with primary custody, with her former spouse having the child every other weekend. + + Soc. Sci. 2021, 10, 292 + + 5 of 35 + + 2.3. Ethical Criteria The qualitative survey obtained retrospective ethical approval (N • : IRB00011835-2019-09-24-180, Université Fédérale de Toulouse IRB # 1). This study was also published in the CNIL declaration n • 2214433. The objectives of the research were explained to the respondents and their consent for recording and obtaining the photo files was obtained. All interviews were strictly anonymous and fictitious names were given to the people interviewed. Finally, respondents were not compensated in any way. 2.4. Qualitative Survey Material Among parents, the perception of children's signs of hunger and satiety was addressed in relation to (1) family characteristics (social position, composition, organization); (2) char-acteristics of the family diet, in particular those of the children, ranging from food shopping to the management of leftovers, by also exploring food intake (composition, quantities, frequency, duration, contexts); (3) perceptions of the signals emitted by the children; (4) the modalities of educational delegation in the field of nutrition, this term referring to the guidelines and instructions given to the childminder by the parents; (5) milk diets, then diversification; and finally (6) perceptions relating to the food educational settings (Table A1 in Appendix A). During the interviews, the parents were asked to describe their child's expression of hunger or satiety, to talk about the pace of their child's mealtimes, or to describe their child's appetite, its constancy or variations, according to different situations, such as when the child is feeling good, tired or ill. The interview guide was drawn up from the exploratory literature review and collection tools constructed in other sociological surveys relating to nutrition during early childhood conducted by some of the authors of this article. Then, the survey guide was tested in an exploratory phase and adjusted before the implementation of data collection. For twenty households, two interviews were conducted. The two interviews were spaced 44 days apart on average (σ = 28.6). The objective of the second interview was to explore the dimensions previously mentioned while focusing on the changes and stabilities observed by the parents in the child since the first meeting. A second meeting generally leads to greater reflexivity, enabling the dynamic processes at work in socialization to be revealed. Finally, the methodological protocol allowed the parents to express themselves via photos that contextualize food intake, which anchored a number of discussions about everyday life. It is noteworthy that only the least employed parents or those from the least educated social groups refused the second interview, with the exception of one parent, who accepted the photo protocol but not the second meeting, and who was a downgraded type parent, the interview being quite demanding in terms of commitment. 2.5. Analyses A methodological analysis of each interview was carried out, including the initial contacts and the exchange process. In this article, particular emphasis is placed on the gender order (Connell 1987) in early childhood socialization inquiry. A sociological analysis was also carried out, taking into account the discursive and social contexts and the so-cioeconomic variables. As a result, topic-based analyses of the statements were combined with lexicometric and statistical analyses using the free software IRAMUTEQ (Version 0.7 alpha 2, LERASS Laboratory-REPERE, GNU GPL License ©2008-2014 Pierre Ratinaud, University of Toulouse Jean Jaurès, France). This software enables to cut, code and interpret speeches by lemmatization. The lexicometric analysis brings out classes of statements that are significantly connected to the qualitative survey guide (Table A1 in Appendix A). How-ever, it is interesting to note those that move away from it and compare the distribution of "lexical worlds" (Rouré and Reinert 1993) within the corpus. The Reinert method employed in this article (Appendix B) captures the internal organization of the speeches based on the segmentation into classes represented by dendrograms and tables (Appendices C and D). This method aims to identify the main themes mentioned in the corpus. Each interview is therefore divided into text segments presenting similar lexical profiles (e.g., the same + + Soc. Sci. 2021, 10, 292 + + 6 of 35 + + words) grouped into discourses classes. Each of these classes is then described from the lex-icon which characterizes it, which corresponds to the words significantly over-represented on the basis of a Chi2. Then, the sociodescriptive variables are injected a posteriori to study the statistical link between these variables and the discourses classes (Appendix B). The factorial analysis of correspondences gives a graphic representation of the correlations. This supports the interpretation of the differentiations identified between the classes. The different lexical registers identified are interpreted according to the methodological and qualitative content analyses conducted in the first stage; they are then used to support or discuss the statistical results (Scheme 1). The quotes from the respondents presented in the analysis correspond to quotes significantly over-represented in the profiles of the discourses classes to which they are associated. oc. Sci. 2021, 10, x FOR PEER REVIEW 7 of 38 Scheme 1. Analyses of qualitative survey data (in bold, the corpora on which this article is based). Concerning the parents, a first analysis was based on a corpus of 28 texts, correspond-ing to the 28 households surveyed (cf. Section 3.2). A second analysis, which was dynamic, was based on the corpus of 20 parents who were twice interviewed (see Section 3.3.1). To study the differences in the discourses classes of parents interviewed twice, a second anal-ysis was performed comparing the discourses of the first interview with those of the sec-ond interview in order to study whether the narrative process engaged over time has ef-fects on the discourses, e.g., relating to the perception of dynamics of change in the child's food repertoire and the expressed needs. This textual statistical analysis was completed by a content analysis combining the photo elicitation method with the two interviews. It highlighted the various contexts in which the normative contents involved in socialization take place, based on the staturo-ponderal growth, the tension between pleasure and satiation, and the daily food manage-ment. 3. Results 3.1. Gender Order Although the interview was indiscriminately addressed to either parent, only three fathers responded, one of whom responded during the second interview only. Thus, when referring to the parental corpus, it would be more accurate to speak of the maternal cor-pus. The lexical universes thus brought to the analysis reflect the gender order relating to the discrepancies between mothers and fathers, women and men in the division of food and care duties within the household. In this sense, they mask the gendered differentia-tion of parental norms and food, nutritional and educational practices that help structure Corpus total Lexicometric analysis Content sociological analysis Methodological analysis Parents first and second interview comparison (n = 20) Home-based childminder (n = 25) Parents (n = 28) Comparison of parent and childminder dyads (n = 6) Scheme 1. Analyses of qualitative survey data (in bold, the corpora on which this article is based). Concerning the parents, a first analysis was based on a corpus of 28 texts, correspond-ing to the 28 households surveyed (cf. Section 3.2). A second analysis, which was dynamic, was based on the corpus of 20 parents who were twice interviewed (see Section 3.3.1). To study the differences in the discourses classes of parents interviewed twice, a second analysis was performed comparing the discourses of the first interview with those of the second interview in order to study whether the narrative process engaged over time has effects on the discourses, e.g., relating to the perception of dynamics of change in the child's food repertoire and the expressed needs. This textual statistical analysis was completed by a content analysis combining the photo elicitation method with the two interviews. It highlighted the various contexts in which the normative contents involved in socialization take place, based on the staturo-ponderal growth, the tension between pleasure and satiation, and the daily food management. 3. Results 3.1. Gender Order Although the interview was indiscriminately addressed to either parent, only three fathers responded, one of whom responded during the second interview only. Thus, when referring to the parental corpus, it would be more accurate to speak of the maternal corpus. The lexical universes thus brought to the analysis reflect the gender order relating to the discrepancies between mothers and fathers, women and men in the division of food and care duties within the household. In this sense, they mask the gendered differentiation of parental norms and food, nutritional and educational practices that help structure children's relationship to appetite and satiation; this may be the basis for the differential socialization of girls and boys, a dimension that we have studied elsewhere (Dupuy 2017b; + + Soc. Sci. 2021, 10, 292 + + 7 of 35 + + Dupuy et al. 2018b) and that was also identified in other works (Birch and Fisher 2000; Birch et al. 2003). 3.2. The Lexical Universes of Parents The system of classification (Figure 1) distinguishes five hierarchical classes as follows: Classes 1, 5 and 4 refer to the social conditions of food socialization, in contrast to Classes 2 and 3, which represent food repertoires. Class 1 differs from Classes 5 and 4 in the sense that 1 refers to a parental discourse supported by the scholarly, rather medical, norms of pediatric nutrition and medicalized child care, whereas 5 and 4 refer to social norms. Classes 2 and 3 are distinct from each other in that they are based on two distinct food registers, one associated with the world of sweet foods, the other with that of salty foods. The significant relationships for these analyses are presented in Appendix C (Table A2). Correspondence factor analysis shows, on a horizontal axis, an opposition between Class 1 and Class 2, which could be positioned on a "nutritional recommendations" axis, because of the strong supervision of access to sweet foods, and a second axis where Classes 3, 4 and 5 are spread out, which would correspond to "the child's socialization to food" (Figure 2). Class 1 (22% of the content segments analyzed) includes content associated with parents' concern for medical issues, particularly nutrition, at various stages. Parents with the highest levels of education and income and whose children are followed by a pediatrician and a general practitioner are more strongly represented. This class-which we call "Relating to the medical"-relates significantly to body weight (in the sense of losing weight), height, anxiety, issues, reflux, concern, and girls. The medical dimension is present with significant occurrences of the following words: health, curve, pediatrician, doctor, notebook, general practitioner, growth, allergy, weight, vomit, body, sick, as for this respondent, statistically over-represented in this class. "When I come home from the doctor, that's the first thing I do, I graph. It's something I love, I always look forward to graphing, I don't know why, but it's seeing if they're progressing well, tracking, I don't know. Yes I look to see if they're in the norm. And they are pretty much in the norm". [Mother (p < 0.0001; Chi2: 43.08), high social position, 4-year-old daughter and 11-month-old boy]. Recommendations for dietary diversification are based on timelines, which combine the child's age (in months) and the diversification of the food repertoire. They are proposed in numerous channels or media, ranging from medical follow-up by a pediatrician to communication by the food industry, including child care facilities in services dedicated to early childhood. The dissemination of these recommendations has intensified with "nutritionnalisation" (Poulain 2009), a process of thinking about one's relationship to food through a purely nutritional lens. These recommendations are thus easily accessible to parents from all social backgrounds, even if they are not always followed and viewed as legitimate (Gojard 2001; Gojard 2010; Régnier and Masullo 2009; Depecker 2010). In addition, many studies confirm the importance of nutritional recommendations during the transition to parenthood, particularly for a first child and during the first months of life (Anderson et al. 2001; Corbeau 2010; Dhuot 2018; Moura and Aschemann-Witzel 2020). + + Soc. Sci. 2021, 10, 292 + + 8 of 35 + + A2). Correspondence factor analysis shows, on a horizontal axis, an opposition between Class 1 and Class 2, which could be positioned on a "nutritional recommendations" axis, because of the strong supervision of access to sweet foods, and a second axis where Clas-ses 3, 4 and 5 are spread out, which would correspond to "the child's socialization to food" (Figure 2). Figure 1. Dendrogram-parental corpus. Figure 1. Dendrogram-parental corpus. + + Soc. Sci. 2021, 10, x FOR PEER REVIEW + + 9 of 38 + + Figure 2. Correspondence factor analysis based on Reinert's classification-parent corpus. AFC of the two dimensions summarizing the most data-factor 1, eigenvalue: 0.29; %: 33.99; factor 2, eigen-value: 0.21; %: 24.99. Class 1 (22% of the content segments analyzed) includes content associated with par-ents' concern for medical issues, particularly nutrition, at various stages. Parents with the highest levels of education and income and whose children are followed by a pediatrician and a general practitioner are more strongly represented. This class-which we call "Re-Figure 2. Correspondence factor analysis based on Reinert's classification-parent corpus. AFC of the two dimensions summarizing the most data-factor 1, eigenvalue: 0.29; %: 33.99; factor 2, eigenvalue: 0.21; %: 24.99. + + Soc. Sci. 2021, 10, 292 + + 9 of 35 + + Class 2 (17.72% of the content segments analyzed) overlaps with lemmatized forms designating the purchase or consumption of sweet foods when desserts or snacks are mentioned. This class illustrates the "relationship to the sweet food repertoire" of parents with respect to their children, particularly in terms of how they manage their appetite for sweet foods. The structure of meals is a social organization of food intake that gives dessert a particular status as the end of the meal, which serves as the finale of the meal (Tibère and Dupuy 2021). The social organization of the end of the meal, which is often sweet, is transmitted to and processed by young children during their socialization. They thus learn to regulate their consumption according to a dietary time frame. Dessert is also a technique used by adults to regulate food intake of simple non-carbohydrate nutrients and ensure that the child is properly fed. Class 2 also refers to afternoon snacks, which in France remain resolutely associated with the sugary, pleasurable, and indulgent world (Diasio 2006) despite certain nutritional recommendations that promote the "cereal + fruit + dairy" formula (Tibère et al. 2018). More than the other meals of the day, the afternoon snack is organized according to the child's desires and, implicitly, those of the parents (Dupuy 2013), which reminds us how mothers' eating habits and preferences can affect their children's diet (Dhuot 2018). This class reflects an attraction to sweet foods, such as chocolate, cakes, sweets, sugar, which are prevailing among parents with the lowest levels of education and resources, even though many mention their control over the purchase and consumption of industrial sweet products. Some parents wonder about the links between their children's attraction to sugar and their preferences. "And then, does it matter or not, I have a sweet tooth, so obviously I ate a lot of sugar during my pregnancy and that may have had an effect, but I don't know if there is a link. So since I tend to eat more sugar, maybe I got her used to sugar" [Mother, middle-class social position, one 33-month-old daughter]. Pictures 1 and 2: Daily situation: Meals and leftovers, 11-month-old girl Mother, working-class social position (p = 0.00065; Chi2: 11.62). to food through a purely nutritional lens. These recommendations are thus easily accessi-ble to parents from all social backgrounds, even if they are not always followed and viewed as legitimate (Gojard 2001; Gojard 2010; Régnier and Masullo 2009; Depecker 2010). In addition, many studies confirm the importance of nutritional recommendations during the transition to parenthood, particularly for a first child and during the first months of life (Anderson et al. 2001; Corbeau 2010; Dhuot 2018; Moura and Aschemann-Witzel 2020). Class 2 (17.72% of the content segments analyzed) overlaps with lemmatized forms designating the purchase or consumption of sweet foods when desserts or snacks are men-tioned. This class illustrates the "relationship to the sweet food repertoire" of parents with respect to their children, particularly in terms of how they manage their appetite for sweet foods. The structure of meals is a social organization of food intake that gives dessert a particular status as the end of the meal, which serves as the finale of the meal (Tibère and Dupuy 2021). The social organization of the end of the meal, which is often sweet, is trans-mitted to and processed by young children during their socialization. They thus learn to regulate their consumption according to a dietary time frame. Dessert is also a technique used by adults to regulate food intake of simple non-carbohydrate nutrients and ensure that the child is properly fed. Class 2 also refers to afternoon snacks, which in France re-main resolutely associated with the sugary, pleasurable, and indulgent world (Diasio 2006) despite certain nutritional recommendations that promote the "cereal + fruit + dairy" formula (Tibère et al. 2018). More than the other meals of the day, the afternoon snack is organized according to the child's desires and, implicitly, those of the parents (Dupuy 2013), which reminds us how mothers' eating habits and preferences can affect their children's diet (Dhuot 2018). This class reflects an attraction to sweet foods, such as chocolate, cakes, sweets, sugar, which are prevailing among parents with the lowest levels of education and resources, even though many mention their control over the purchase and consumption of industrial sweet products. Some parents wonder about the links between their children's attraction to sugar and their preferences. "And then, does it matter or not, I have a sweet tooth, so obviously I ate a lot of sugar during my pregnancy and that may have had an effect, but I don't know if there is a link. So since I tend to eat more sugar, maybe I got her used to sugar" [Mother, middle-class social position, one 33-month-old daughter]. Pictures 1 and 2: Daily situation: Meals and leftovers, 11-month-old girl Mother, working-class social position (p = 0.00065; Chi2: 11.62). "White chocolate, I made her taste it. Even I tasted it, I thought it was really good! The first time I gave her some, I even opened a second jar for her because she gobbled it up! I thought "oh great! "(...) And she loved it, I gave her a second one, although she didn't finish it, but that's normal! (...) But it's true that I tended to do that at the beginning "White chocolate, I made her taste it. Even I tasted it, I thought it was really good! The first time I gave her some, I even opened a second jar for her because she gobbled it up! I thought "oh great!" ( . . . ) And she loved it, I gave her a second one, although she didn't finish it, but that's normal! ( . . . ) But it's true that I tended to do that at the beginning and when she discovered the different cream desserts, when she had finished and kept opening her mouth, I would open a second jar. But she would never finish it, it was mom who finished it". Among parents from middle-class backgrounds, dessert and afternoon snacks are characterized by a preference for fruit and fruit compotes, preferably organic or bought at the local market, as well as dairy products such as yogurts and cheeses. As for sweet foods, they are mentioned in relation to the control that parents maintain over their child's consumption, or even their refusal to buy them. Thus, this class is rather characterized by a discourse expressing control, or even rejection, of the consumption of sugar or sweet products, with the exception of naturally sweet products such as fruit and compotes. We find this idea in the following remarks: + + Soc. Sci. 2021, 10, 292 + + 10 of 35 + + "And then on top of that I don't want to buy . . . anyway, there are organic ones but they are sweet and I find that insane, all the "baby" products are sweet, it's crazy!" [Mother, middle-class social position, 7-month-old boy]. "Yes, they love compotes, so I buy them, I get them without added sugar because I tell myself they are small anyway". [Mother, working-class social position, 14-month-old boy and girl twins]. "They make this organic stuff with oranges, well, stuff without sugar or anything, it suits him very well, I mean he can tell the difference". [Mother, middle-class social position, two boys aged 29 months and 4 years]. Class 3, accounting for 21.21% of the corpus segments, is associated with two registers: the ingredients present in purees-especially when parents refer to diversification-and the main courses at lunches and dinners. Discussions include vegetables, such as carrots, tomatoes and zucchini, as well as starchy foods such as pasta or rice and animal proteins such as meat or ham. This class is called: "relating to the salty food repertoire" and involves a parental discourse centered on cooking preparations, recipes or proposed meals or a nutritional discourse of attention focused on dietary balance, the presence of certain nutrients during a given meal or day, particularly concerning the alternative "animal or vegetable products". This class is significantly associated with parents reporting an important concern for nutritional or medical recommendations, having a daughter and having a high level of education even if the level of resources, compared to the level of education, is low. Pictures 3 and 4: Daily situation: Pea puree and leftovers offered during the interview Mother, high social position, two boys aged 5 and 29 months (p < 0.0001; Chi2 26.54). characterized by a preference for fruit and fruit compotes, preferably organic or bought at the local market, as well as dairy products such as yogurts and cheeses. As for sweet foods, they are mentioned in relation to the control that parents maintain over their child's con-sumption, or even their refusal to buy them. Thus, this class is rather characterized by a discourse expressing control, or even rejection, of the consumption of sugar or sweet prod-ucts, with the exception of naturally sweet products such as fruit and compotes. We find this idea in the following remarks: "And then on top of that I don't want to buy ... anyway, there are organic ones but they are sweet and I find that insane, all the "baby" products are sweet, it's crazy!" [Mother, middle-class social position, 7-month-old boy]. "Yes, they love compotes, so I buy them, I get them without added sugar because I tell myself they are small anyway". [Mother, working-class social position, 14-month-old boy and girl twins]. "They make this organic stuff with oranges, well, stuff without sugar or anything, it suits him very well, I mean he can tell the difference". [Mother, middle-class social position, two boys aged 29 months and 4 years]. Class 3, accounting for 21.21% of the corpus segments, is associated with two regis-ters: the ingredients present in purees-especially when parents refer to diversification-and the main courses at lunches and dinners. Discussions include vegetables, such as car-rots, tomatoes and zucchini, as well as starchy foods such as pasta or rice and animal pro-teins such as meat or ham. This class is called: "relating to the salty food repertoire" and involves a parental discourse centered on cooking preparations, recipes or proposed meals or a nutritional discourse of attention focused on dietary balance, the presence of certain nutrients during a given meal or day, particularly concerning the alternative "an-imal or vegetable products". This class is significantly associated with parents reporting an important concern for nutritional or medical recommendations, having a daughter and having a high level of education even if the level of resources, compared to the level of education, is low. Pictures 3 and 4: Daily situation: Pea puree and leftovers offered during the interview Mother, high social position, two boys aged 5 and 29 months (p < 0.0001; Chi2 26.54). Mother cooks mostly vegetables for her boys who eat no meat in the evening and on weekends. "In terms of vegetables, he eats everything. Yesterday, he ate parsnips, and my grand-mother said, "But parsnips are disgusting;" well, he liked them. Anyway, it was not too strong, it remained bearable, he ate, he ate everything. (…) So what works immediately is green beans, peas, that goes down really well, and... So the sweet potato last time I Mother cooks mostly vegetables for her boys who eat no meat in the evening and on weekends. "In terms of vegetables, he eats everything. Yesterday, he ate parsnips, and my grand-mother said, "But parsnips are disgusting;" well, he liked them. Anyway, it was not too strong, it remained bearable, he ate, he ate everything. ( . . . ) So what works immediately is green beans, peas, that goes down really well, and . . . So the sweet potato last time I made it a little too thick, so it was weird, so it didn't go down well . . . But beans, peas, and also leeks go down well. [Interviewer: And you use leek alone?] Yes, only leeks. I don't put a lot of potatoes, in fact, because I was told that with vegetables, for the taste, it was better not to put too much potato. And he likes it. ( . . . ) So it's strange because the first time I made him taste peas I had put green beans too, so it's actually the first time that he is eating plain peas, only peas. It seems to be going well. Okay, there's a little bit of a funny face though . . . [A few minutes later] Will you close your mouth? You cheeky boy! Eliott? I'm going to try the little train again, "Eliott, choo-choo" [she makes the little train with the spoon to his mouth], does it work? Well now I think that . . . Well, you've eaten a little more than half of it, that's not bad!" + + Soc. Sci. 2021, 10, 292 + + 11 of 35 + + Class 4 (14.57% of the content segments analyzed) corresponds to "the temporal framework of food socialization". This register does not so much refer to learning by children, who are themselves subject to social conditions, as to the way in which parents organize themselves to incrementally set food rhythms. This class sets schedules for food intake and meals and by modifying responses to their children's physiological needs. Parental learning about feeding management, with the sleep cycle of newborns and infants, is addressed: there are, for example, references to the words morning, evening, night, noon, wakes up or time. This class significantly includes parents who declare that their child is followed by a pediatrician, parents with a middle-class social position, parents with a medium level of education and resources, and less significantly among parents with a low level of education and resources and primiparous mothers. This class is titled: "temporal framework of food socialization" as illustrated in the following interview extract: "And for the afternoon snack it's the same, he has always been used, since he was little, to having a snack when he gets up from his nap. So when he gets up, he says "let's go and have a snack". But I think it's more out of habit than hunger. It's because he's used to it that when he gets up from his nap, he knows he's getting a snack. But other than that, we try to make sure he eats at fixed times". [Mother, intermediate social position, a 30-month-old boy]. Class 5 (24.48% of the content segments analyzed) is associated with the "social frame-work of food socialization" in particular with learning table manners. It is characterized by the occurrences of the following words: table, play, hunger, meal. In this class, the regulation of appetite is learned within meals and not through eating outside of meals. This reminds us of how important the acquisition of social practices related to food is. Mealtime is a space for the acquisition of table manners, based on parental and professional educational practices as in the following interview extract for this mother of high social position who "teaches" her education through play. These include the ways of behaving at the table, which vary according to what adults and their social norms consider appropriate or inap-propriate for the child's age. During their early socialization both within and outside the family, children internalize these norms by imitating adults and other children. Getting children to eat "well" is an educational challenge. Here, again, there are different possible strategies from parents and different attitudes from children depending on social and cultural backgrounds that influence educational and family models as well as adjustments during interactions. "With the green puree, when he played with it, when he dipped his hands in it, I thought it was so cool. It was carnage, I was painted, the floor, his chair too. But he ate it all. He played with what he had on his hands. And I thought, "I'm never going to get mad at him when he does that, I'm going to let him do that, that's cool". We also agree on this point of view, we are not going to ask him at 5 months to eat properly. As long as he wants to put his hands in, he will". [Mother, high social position, 7-month-old boy]. Picture 5: Daily situation-Meals and leftovers of a 7-month-old boy, Mother, high social position (p = 0.00381; Chi2 8.37). + + Soc. Sci. 2021, 10, 292 + + 12 of 35 + + Soc. Sci. 2021, 10, x FOR PEER REVIEW + + 13 of 38 + + Picture 5: Daily situation-Meals and leftovers of a 7-month-old boy, Mother, high social position (p = 0.00381; Chi2 8.37). "No, I still hold him, but I don't want to get into a fight with him, and since I can tell he wants to play with the food, I bought him an apron with sleeves and I let him put his hands in it. [...] [commenting on the photo] Yes, he puts some in his hands and has fun closing his hand, so it comes up and it makes him laugh. Because with diversifica-tion, I read that it's good for him to know the shape of the food, so I think I'll put some well-cooked pieces in his puree so he can touch and know the shape of the vegetables". [Mother, high social position, 7-month-old boy]. The educational practices of adults are shaped by the adjustments that occur in inter-actions with children (Laurier and Wiggins 2011). Moreover, the use of play depends on the level of tolerance for the playful register at the table or when eating (Corbeau 2008; Lalanne and Tibère 2008) as well as on socially differentiated conceptions of childhood (Lahire 2019). "I don't force him, if he doesn't want to, then he doesn't want to. We take a little break with a toy and then he eats the rest". [Mother, high social position, 7-month-old boy]. Young children's difficulty in controlling their bodies and resisting the urge to move is reflected in their parents' remarks, especially when the child switches from a highchair to a regular chair. In some families, these chairs are used alternately, giving the child some flexibility and allowing for a quiet meal in the evening. With the exception of the parents who are downgraded and belong to the "cultural capital" (Bourdieu [1972] 2000) and who teach table manners, Class 5 is over-represented among the parents of a modest social position and with a low level of education and resources, who mainly mention the playful and convivial aspect of this learning. This aspect, while it may reflect a bias of social at-tractiveness, may also reveal educational strategies used by these parents to establish a certain "respectability" in food education, as highlighted elsewhere (Le Pape and Plessz 2017) through the teaching of a legitimate rhythm, in this case the duration of the meal as we observe in these two parents. "We don't let them play with food much, the only time is with the letters that are in the soup but otherwise, no, not at all". [Father, middle-class social position, one boy 48 months old, two girls 5 and 10 years old] "Well, for her age, she knows how to behave, she is not messy, she eats well with her spoon. Then I'm probably too manic but it's something I can't stand. She doesn't play with the food, she doesn't spit with it, and when it's too dirty I tell her "wait, settle down and only then we'll eat more". But she eats well, she is clean, sometimes she will play with the ham, but I tell her "it's not very nice, we don't play with the food", she is quite "No, I still hold him, but I don't want to get into a fight with him, and since I can tell he wants to play with the food, I bought him an apron with sleeves and I let him put his hands in it. [ . . . ] [commenting on the photo] Yes, he puts some in his hands and has fun closing his hand, so it comes up and it makes him laugh. Because with diversification, I read that it's good for him to know the shape of the food, so I think I'll put some well-cooked pieces in his puree so he can touch and know the shape of the vegetables". [Mother, high social position, 7-month-old boy]. The educational practices of adults are shaped by the adjustments that occur in interactions with children (Laurier and Wiggins 2011). Moreover, the use of play depends on the level of tolerance for the playful register at the table or when eating (Corbeau 2008; Lalanne and Tibère 2008) as well as on socially differentiated conceptions of childhood (Lahire 2019). "I don't force him, if he doesn't want to, then he doesn't want to. We take a little break with a toy and then he eats the rest". [Mother, high social position, 7-month-old boy]. Young children's difficulty in controlling their bodies and resisting the urge to move is reflected in their parents' remarks, especially when the child switches from a highchair to a regular chair. In some families, these chairs are used alternately, giving the child some flexibility and allowing for a quiet meal in the evening. With the exception of the parents who are downgraded and belong to the "cultural capital" (Bourdieu [1972] 2000) and who teach table manners, Class 5 is over-represented among the parents of a modest social position and with a low level of education and resources, who mainly mention the playful and convivial aspect of this learning. This aspect, while it may reflect a bias of social attractiveness, may also reveal educational strategies used by these parents to establish a certain "respectability" in food education, as highlighted elsewhere (Le Pape and Plessz 2017) through the teaching of a legitimate rhythm, in this case the duration of the meal as we observe in these two parents. "We don't let them play with food much, the only time is with the letters that are in the soup but otherwise, no, not at all". [Father, middle-class social position, one boy 48 months old, two girls 5 and 10 years old]. "Well, for her age, she knows how to behave, she is not messy, she eats well with her spoon. Then I'm probably too manic but it's something I can't stand. She doesn't play with the food, she doesn't spit with it, and when it's too dirty I tell her "wait, settle down and only then we'll eat more". But she eats well, she is clean, sometimes she will play with the ham, but I tell her "it's not very nice, we don't play with the food", she is quite clean and delicate, she doesn't run around too much". [Mother, middle-class social position, 30-month-old daughter]. + + Soc. Sci. 2021, 10, 292 + + 13 of 35 + + 3.3. Perceptions of Hunger and Satiety: Social Dynamics of Adjustment The content analysis, focused on practices and based on interviews and photos, highlights three complex determinants involved in the perception of hunger and satiety as well as their links to educational norms and models: the dynamics of the child's growth linked to the evolution of physiological, social and emotional needs; the dynamics of hunger and satiety associated with pleasure and the management of desire; and finally, the dynamics of daily preparation practices and routines that question the evolutions in textures and portions. 3.3.1. Growth Adjustment Dynamics As children grow in size and age, their physical and physiological characteristics change. Adults-both parents and professionals-adjust their diets to these characteristics. These dynamics can be seen in the lexical analysis of parental discourse. The com-parison of the two corpora spread over time shows changes between the first and second interviews, as a result of changes perceived by the parents in the child's sensorimotor and psychomotor development; the perception of these changes leads to responses regarding feeding. When comparing the discourse during the first interview (Figure 3) with that of the second (Figure 4 and Table A3, Appendix D), the classes relating to the foods consumed (Class 1 "relationship to the salty food repertoire" [16.5%], and Class 3 "relationship to the sweet food repertoire" = [n = 29, 3%]) contrast more visibly with Class 4 "temporal framework of food socialization" (15.35%) and Class 2 , a new class that illustrates the greater attention paid to the child in terms of "perceived evolutions in child development" (38.9%) with words such as child, month, curve, weight, girl. These results show changes in the parents' discourse classes between the two interviews and reveal a focus on child development. However, although perceptions relating to this dimension emerge in the discourses, they seem to be less associated with responses to the signs of hunger and satiation expressed by the child than with internalized normative patterns. The class "perceived changes in the child's development" appears in the second interview precisely because a period of time occurred between the two interviews, letting changes take place in the child's diet and expressed needs, and also letting the parents learn to identify them. Therefore, the occurrence of this class results from the methodological protocol as well as from the questions and reminders proposed by the interviewer. It seems that these feeding practices are less the product of an adjustment to changes and signals perceived in the child than the result of a distinct temporal order and the mobilization of top-down educational models, which are themselves rooted in feeding models. Furthermore, the discourses that propose listening to the child's rhythms and needs, and trusting the child's ability to express them, correspond more to a rationalization in front of the investigator than to spontaneous educational views. Finally, the fact that no marked social differentiation is visible for this class indicates that this educational model is present in all social backgrounds with a p < 0.0001, even if the chi2 for the high social position is a little stronger (50.66) against 40.23 for the more modest social positions. + + Soc. Sci. 2021, 10, 292 + + 14 of 35 + + Soc. Sci. 2021, 10, x FOR PEER REVIEW + + 15 of 38 + + Figure 3. Dendrogram-first interview-parents. Figure 4. Dendrogram-second interview-parents. The staturo-ponderal growth is an indicator that adults rely on in order to adapt the amount of food served, as expressed in Class 1 (see Section 3.2) and Class 2′. Parents also rely on the evolution of their child's weight-height curves, which is recorded during med-ical consultations, or they refer to age-related food guidelines. This staturo-ponderal growth is assessed subjectively in comparison to the staturo-ponderal growth running in the family, particularly that of the parents and siblings, but this assessment is also based on a wider family circle. As a result, comparisons start linking the family's growth expe-Figure 3. Dendrogram-first interview-parents. + + Soc. Sci. 2021, 10, x FOR PEER REVIEW + + 15 of 38 + + Figure 3. Dendrogram-first interview-parents. Figure 4. Dendrogram-second interview-parents. The staturo-ponderal growth is an indicator that adults rely on in order to adapt the amount of food served, as expressed in Class 1 (see Section 3.2) and Class 2′. Parents also rely on the evolution of their child's weight-height curves, which is recorded during med-ical consultations, or they refer to age-related food guidelines. This staturo-ponderal growth is assessed subjectively in comparison to the staturo-ponderal growth running in the family, particularly that of the parents and siblings, but this assessment is also based on a wider family circle. As a result, comparisons start linking the family's growth expe-Figure 4. Dendrogram-second interview-parents. The staturo-ponderal growth is an indicator that adults rely on in order to adapt the amount of food served, as expressed in Class 1 (see Section 3.2) and Class 2 . Parents also rely on the evolution of their child's weight-height curves, which is recorded during medical consultations, or they refer to age-related food guidelines. This staturo-ponderal growth is assessed subjectively in comparison to the staturo-ponderal growth running in the family, particularly that of the parents and siblings, but this assessment is also based on a wider family circle. As a result, comparisons start linking the family's growth experiences and the evolution of the child's body. They also correspond to socially differentiated somatic cultures. These elements are likely to determine both what is given and how much is given to the child (Nicklaus et al. 2019). Some studies have also shown the impact of + + Soc. Sci. 2021, 10, 292 + + 15 of 35 + + the mother's weight experience on the restrictions placed on children, particularly girls (Birch and Fisher 2000; Birch et al. 2003; Bournez et al. 2018; Hetherington 2017). This is this situation we encounter with this mother: "I would go to the doctor and follow the advice because in fact as a child I was fat and it used to be annoying. It wasn't a disease but it was just a little bit like it . . . it annoyed me because it was harder to make friends, they said I looked like a meatball so it was more like that. But it wasn't about my health, it was just annoying". [Mother, downgraded social position, 36-month-old boy, 6-year-old girl] However, if the evolving growth of the child is rooted in family standards, its transfor-mations are an object of a social gaze, whether approving or disapproving, that defines and shapes it to a large extent, just as do the practices of early childhood professionals described by Delphine Serre (1998). When documented in the child's health booklet, the evolution of the child's weight and height curves allows parents to evaluate their child's development in comparison to a staturo-ponderal normality set by medical institutions. The parents then look at their child's changing body and whether or not it falls within the curves of "normal" development. The child's biological body is a social body (Diasio and Vinel 2017). In our societies, the changing body of the child is considerably medicalized and is the object of monitoring devices, especially during the first days and months of life. André Turmel (2008) has shown how physical and psychological measurements, thought of in terms of maturation, set developmental standards that help to socially organize growth, aging and body transformation. In this way, this process of normalization also contributes to establishing a normality and an abnormality of growing up, particularly expressed in our qualitative study in relation to children considered too thin. As has been shown (Turmel 2008; Diasio and Vinel 2017), the child's age is also a relevant and legitimate criterion to enable the evolution of the dietary repertoire (in terms of content, texture, and quantity) to be assessed according to the child's needs. The biological age, on which the recommendations are based, acts as an identification marker. Expressed in months, the schedule of food diversification distributed in many child care media contributes to naturalizing the biological age of the child by making it the objective and objectifiable variable (in the sense that it is measurable) to base the evolution of the food repertoire. This repertoire also depends on social and institutional definitions of childhood; those definitions are linked to specific institutions that mark the various ages of life. For instance, the start of schooling, which in France occurs around the age of three, helps to socialize children into integrating food models and table manners through bodily dispositions that prepare them to be hungry when it is time to eat, and to feel satiated at the end of a meal. These perceptions may be objectified by the medical profession on the basis of growth curves, or they may remain attached to family memories. They can also be shaped by professional practices or by both institutions and the norms they disseminate concerning the child's social body. They affect the food and the quantity of food that parents offer their children. They also influence the ways in which food is accessed and controlled, especially for children in the lower and upper curves of our corpus. However, the child's advancement in age and the physiological changes that come with it, even if they remain a relevant category, are not without socially differentiated interpretations. We have thus shown that the professional experience and social position of home-based childminders set up a distance from child care norms, particularly concerning the diversification stages perceived as dietary fads by the most senior professionals in the field (Dupuy et al. 2018b). This distancing may affect parenting practices by changing them. In another study, the polysemy associated with the notion of "specificity" of child feeding was questioned by showing that, among parents, specific feeding for their child does not only concern the foods or ingredients offered but also the textures, the quantity, the quality, and finally the material, temporal, emotional, and social contexts-places, times, duration, and interactions associated with food intake (Dupuy and Rochedy 2018; Dupuy et al. 2018a; Wiggins 2019). Furthermore, biological age can be socially reappropri-ated, but this reappropriation always occurs within a time window defined in medical + + Soc. Sci. 2021, 10, 292 + + 16 of 35 + + recommendations for initiating diversification (Bournez et al. 2018; Dhuot 2018) like what is expressed here. "[Interviewer: But on the progression of the quantities?] As we went along, we added little spoonfuls; in the evening we would obviously add less than at lunchtime. For example, when he was still eating a mixed diet, I tried to give him a little less than at lunchtime, because at lunchtime he was obviously hungrier. [Interviewer: And in the evening?] I would take a little bit off, but in the evening, he would ask for less. [Interviewer: Did you do this because you realized that he was eating less in the evening or was it by anticipation?] Because we were told to eat a little lighter in the evening. [Interviewer: Is it your pediatrician?] Yeah, I think it says that, on the back of the sheet". [Mother, middle-class social position, 21-month-old boy]. The implicit developmental logic that underlies this process, which prevails in our societies, and the norms that are associated with it, particularly through medical institutions, confirm the logic of physiological development (in particular the maturation of the digestive tract) and psychomotor development in feeding the young child. This double implicit effect also modifies the food repertoire and notably the quantities served so as to transform the physical and physiological characteristics of the child. In this case, it is the child's "healthy growth" that is targeted, which implies differences in perception according to social origin, experience or even the family's staturo-ponderal experience. Certain foods, such as dairy products, are served in greater quantities to encourage growth, although sometimes drifts such as the lipophobia identified in certain social environments, has the effect of reducing children's access to fats (Bournez et al. 2019). Those drifts are sometimes reflected in our corpus. Moreover, what looks like an approach aimed at a child's "healthy growth" is also accompanied by the idea that successful growth is a guarantee of a child's progress through developmental stages. This link between growth and psychomotor progression results in some parents, especially mothers who are concerned about dietary standards, seeking to optimize the food repertoire and the quantities of food available. Vegetables, dairy products, fruits, oils and fish are labelled as "superfoods", especially when they are organic and cooked from raw at home, as with this interviewee. "I always followed the doctor's recommendations to the letter. As it was the first one, I acted as a really anxious mother: it really mattered that there was a spoonful of oil! In the mashed potatoes! If I forgot it, I made him drink it! No no, it was really important, everything had to be there. And then I introduced a lot of vegetables very quickly, he always ate everything, he always finished his plates, he was a good baby, a big baby". [Mother, downgraded, two boys, 18 months and 4 years old]. The growing child's body is subject to family, extra-family, or institutional assessment and monitoring that affect the amounts of food being served and allowed. 3.3.2. Deciphering Pleasure and the Dynamics of Satiation Adjustment The perceptions of hunger and satiation are also determined by the dynamics of satiation and pleasure perceived by the caregivers. Mention of the sick child is strong in this category, as the illness always illustrates the lack of appetite for food and the return of pleasure, and the recovery from illness. In this case, there is a greater tolerance for the quantities that are eaten, as well as for the type of food and the way in which it is eaten like here: "And in the evening, after he had a long day . . . I never bother, I offer him something to eat, he doesn't want it, I give him his bottle of milk and he goes to bed." [Mother, middle-class position, two boys aged 36 months and 6 years]. The most relevant context in which this dynamic appears is the way in which both adults and children deal with the tension between pleasure/satiation on the one hand and social norms and rules on the other. The management of sweet products is emblematic of this tension as here: + + Soc. Sci. 2021, 10, 292 + + 17 of 35 + + "It's not a problem. And then if he doesn't want to finish his plate, he doesn't finish his plate, it's not an issue. There are little rules that we apply, that is, there is no dessert if there is no proper meal". [Father, high social position, daughter 7 months and son 4 years]. "But if he ate three carrots and then wants an ice cream, that's not gonna work (chuckles), but if he had three bowls of soup and then wants an ice cream, yeah . . . Not like the American way, I mean eat whenever you want, but it's ok to eat as much as you want in the time dedicated to meals". [Mother, middle-class position], two boys aged 36 months and 6 years old]. Eating rhythms set physical dispositions in children by transmuting hunger into appetite (Bourdieu [1972] 2000). The social organization of food intake also provides a reference point for children and the adults who feed them. The following extracts show this learning of parents. "I can tell the difference, because we got him used to eating at a certain time. So I could see when he wanted to eat and was hungry". [Mother, low social position, 23-month-old boy]. "But then they are so set in their ways, the bottle is at such time, the meal at such time, that you are used to it, you know your children and you don't think about it. If he cries, it's because he's hungry, if you arrive at 11:30 AM and there are cries, it's because he's tired and hungry, because then it's time for a nap. And if it's not that, it is often because they are sick. It's pretty easy to feel these things". [Mother, middle-class position, two boys aged 36 months and 6 years]. Within a feeding sequence, especially when the child is not yet speaking, how do parents know when the child is no longer hungry? There is a large body of work that identifies verbal and non-verbal mimics and their interpretations to help understand the mechanisms governing appetite and satiation in children (Skinner et al. 1998; Gross et al. 2010; Hodges et al. 2013; Hetherington 2017; McNally et al. 2016; McNally et al. 2020). The following extracts from interviews show parents' difficulties in interpreting signs of hunger: "If he wants more, he knows how to say 'more', so he says 'more' and even before he spoke, I had taught him the 'more' sign. [ . . . ] There's baby sign language. It's like this [she gestures]". [Mother, high social position, boys 29 months and 4 years old]. "We saw that she saw us eating and we can see by her eyes, even though she's small, but we can see that . . . she looks at the spoon and she goes . . . [She imitates her daughter who follows the path of the spoon from the plate to her mouth with her eyes]. And if we sit her on our lap it's so cute because she sees the plate and she does the same thing [again she imitates the child following the path of the fork with her eyes]. So her eyes kind of say how scandalous . . . " [Mother, middle-class social position, 11-month-old daughter]. "She's much more awake when she's hungry I think. She's more awake, more commu-nicating than when she has something that's bothering her or she's a little bit sick . . . I rock her for five minutes and if after that she doesn't go back to sleep, I just make one [a bottle] for her. Then maybe it's an easy solution and the bottle knocks her out. But, uh . . . " [Father, high social position, daughter 7 months and son 4 years]. "It was clear, 'I don't want it', she would close her mouth or turn away, well it was clear. When she finishes everything, I tend to think I could have added more, anyway now she just says "more". And before, when she was smaller, I don't think she ever really finished her jars, but I would always do a little more than I had to, but actually she would stop. And she would usually stop by herself. And I never forced her to finish. As anxious as I am that she eats well, but . . . And I would tell the nanny, not to force her. In fact, I was in between, I mean to stimulate but not to force!" [Mother, high social position, one 31-month-old daughter]. + + Soc. Sci. 2021, 10, 292 + + 18 of 35 + + Other issues are involved in the strategies parents and children put in place to manage this tension. Literature on the reward status of food, especially sugary food (Chiva 1979; Birch 1987; Cooke et al. 2011), is extensive as is the role of playful eating (Corbeau 2008). Other elements were observed here: serving vegetables before meat thus making more use of hunger mechanisms; acting on the temporalities of meals, particularly on their duration; reversing the structure of meals by starting with a fruit or dairy product and continuing with a protein dish; not serving water at the table. These illustrations show a distance from social, nutritional and educational norms as here. "But here's the thing, the dessert is his goal I think. Because the nanny's got this weird way of doing things: she puts a tray in front of each of them and puts everything on it. So she puts the starter, the main course, the cut fruit, the cheese. So actually they eat in the order they want. [ . . . ] But actually, at home I'm not in favor of it because I think that at school they won't get . . . Well, for me, the meal goes from the starter to the main course and dessert. It's true that at home I had a bit of trouble getting him to understand that he had to wait until he had finished the main course to have dessert". [Mother, middle-class social position, economic capital, 30-month-old boy]. "Yes, but he doesn't mind going back to salty after sweet. Yeah, the salty-sweet order, we're the ones who decided on this salty-sweet order but they don't care". [Mother, middle-class social position, economic capital, 30-month-old boy]. "When he comes home it is like "give me food, give me food!" so we often start with the dessert and by the time I finish he usually has an apple, a banana or a yogurt, then he eats the main course . . . for me it doesn't matter if he eats the other way around, it's not a big deal". [Mother, middle-class social position, two boys aged 36 months and 6 years]. Moreover, the child is not just a receptor; they quickly learn to decode the strategies of their caregivers in order to adopt to them, just as they learn the social norms relating to ending meals with a dessert (Tibère and Dupuy 2021). For example, children who learn to save themselves for dessert in anticipation of sensory promises will tend to eat a smaller quantity of their protein dish. More common is the situation of going beyond one's hunger to please a caregiver who is being pushy and has forcing behaviors when it comes to food (Birch et al. 1980; Odgen et al. 2006; Gross et al. 2010). The following interview passage is very illustrative of a rigid control of the feeding behavior of the child: "He drove me crazy on that dish. Because I wanted to do what I had been told: "you will not get any other food until you finish this". At 18 months old it's a bit hard, but at the same time this child drives me so crazy that I told him "ah okay, fine, you leave the table". And so I let him cry a little bit, he was crying because he wanted his caramel yogurt and there is no caramel yogurt if he doesn't eat that. Besides, if he had eaten it, he would have had plain yogurt. Yes, because there is a correlation: if he eats well, he gets a good yogurt, but there is no good yogurt if he does this. [Interviewer: It's pleasure yogurt only IF . . . ] We don't like saying "good" yogurt, but hey, we're really into blackmail. Well it works well! He actually ate it a little bit, in the end. So I put him back and I told him curtly: "you want the yogurt, well you eat this!"; we had to try again several times by showing him. "If you want the yogurt, you eat this. He was crying and eventually he took the scoops. He took four. So we told him "thank you, that's a good job" and then we gave him his yogurt". [Mother, downgraded social position, two boys 18 months and 4 1 2 years old]. The modalities of access to pleasure probably depend on the child's sex (Bournez et al. 2018), with gender norms participating silently to socialization and contributing to a stricter control of girls' eating practices, especially in the middle and upper social classes (Nicaise et al. 2019). This also occurs with older children (Dupuy 2013) as here: "Lina I would say that she is more . . . well I find that she has her daddy's tastes, she likes sausage, cold cuts, cheese . . . I'm not so much into cheese but Lina, she loves cheese. So I feel like she has more of her daddy's tastes, but I also try to influence her. [ . . . ] [Talking + + Soc. Sci. 2021, 10, 292 + + 19 of 35 + + about her partner] He's a big guy! (laughs) To give you an idea, when I met him he was 103 kg, and now he must be over 120 kg, I mean it's getting quite big. Well, he is tall, he is 1.93m, but still. Like I say sometimes, as Lina has Victor's taste, we have to be careful, so I do think about it. But to be honest, she has Victor's tastes, but I think that education is also important, and she is starting to learn, and for example, she likes fruit a lot, you see, for example, she often has fruit for dessert". [Mother, high social position, 4-year-old daughter and 11-month-old son]. "It's been 6 months now, he was going to the pantry. He's got a good idea of where that is. [ . . . ] But we have to limit him. The other day, we went to the neighbors' and I thought that he was going to eat all the cakes and not leave any for anyone, so yes, you have to . . . I told him, 'That's enough, leave some for the others,' but he doesn't care, as long as you don't put them out of reach, it's complicated . . . well, it can be complicated". [Mother, high social position, 20-month-old boy]. As a consequence of the child's staturological growth, and as we have pointed out, parental management of the child's access to pleasure depends on the family's staturological history: parents project their own experience or that of their partner to discuss how their child relates to the pleasure of eating certain foods. In the same way, they sometimes project their own suffering in relation to their belittled body. Even if this issue appears later in the mechanisms of appetite and pleasure control in children (Dupuy 2013), what really matters here is the child's weight trajectory and its perception by the parents, as is expressed here: "It is said that apparently children's weight determines adult weight. Say, if a child is very, very chubby as a child, there is a good chance that he will grow up to be so. Besides, we are the type of people who cannot eat anything without getting fat. Therefore, you have to be a little careful about what you eat, and I think that he will have this predisposition too". [Mother, intermediate social position, economic capital, 30-month-old boy]. "No, nothing in the morning, just water, it calls out. I know we can't afford to give him more, like I know he's at the top of the curve". [Mother, poor social position, 8-month-old boy]. It is also possible to distinguish certain processes that the caregivers have observed in the way the child learns to play with his hunger and satiety for his own pleasure or that of his family. This means that adults are not the only decision makers in children's eating practices, as children learn to decode and anticipate the reactions of their caregivers by shaping their own eating habits. These aspects underline the role of the interactions that take place from the earliest age between infants and the adults who feed them, thus contributing to the construction not only of food repertoire but also, in part, of personalities and individual and social identities (Chiva 1979). This is tempered by the adoption of an adult-or child-centered stance on needs and their expression, which in turn is often dependent on a number of determinants and normative processes about the role to be granted to children in their socialization. In this sense and to keep things simple, it is more accurate to speak of ideal-typical views. In the first view, the adult considers himself competent to understand the needs expressed by the child. The adult's intervention responds to the child's expressed needs within the framework set by the adult alone. In this mode of interaction, the adult may encourage the child to eat more, deny access to more food, or put food out of reach or out of sight. This mother expresses the difficulties and the anguish of feeding a child who does not eat which explains the incentives to eat: "That's the problem, Agathe never asks for food, never makes you feel the urge to eat, so . . . [ . . . ] Yes, but then as she loses focus very quickly, we often put her at the table with us, so she starts to eat and then she starts to lose interest or to look to the right or to the left, and often we help her so she can eat a little more fully otherwise it will pass, she'll forget and then she'll be grumpy. So she'll never say she's hungry, if we ask her she'll say 'no' but in fact she is, so we help her". [Mother, downgraded social position, 18-month-old daughter] + + Soc. Sci. 2021, 10, 292 + + 20 of 35 + + In the second view, the adult intervenes only to respond to the needs expressed by the child, who is considered to be competent to correctly express his or her hunger or satiety. The adult responds to the child's requests but does not insist, refuse or encourage them. This analysis thus extends reflections on feeding styles (Hughes et al. 2016) as well as reflections on feeding temperaments in children (Farrow and Blissett 2006). Recent experimental work shows that at 11 months of age, if the pace of spooning is slower when spoonfuls are large (reflecting more responsive feeding), infants have better energy adjustment abilities. In other words, they are better able to cut back on the amounts they eat at mealtime after eating a high-energy first food (Brugaillères et al. 2019). Furthermore, these adult-or child-centered views are linked to normative and imagi-nary productions that people have about childhood, i.e., the competent child, the respon-sible child, the victimized or vulnerable child (Hamelin Brabant and Turmel 2012), all of which are deployed differently depending on social environments. Eventually, these dimensions may evolve as children advance in age and in autonomy as what is expressed by these parents. "But for example, when it is 6 o'clock in the morning, she is not going to say "I'm hungry"? Ah no, she has no idea". [Mother, low social position, 17-month-old daughter]. "In terms of quantities, he manages himself, and so we don't have to give him anything, so it's nice, we're focused on our plate, well we check where he is, etc., but we don't have to hand him the fork, the spoon, etc. Each one manages his own plate". [Mother, low social position, 32-month-old boy]. "Yes, she says it, but hunger I think is the thing she knows how to express the least [ . . . ] She never says "I'm hungry", she says "ham", I think hunger is the thing she expresses the least". [Mother, middle-class social position, 30-month-old girl]. "I know that he is aware of his needs, his hunger and everything. Last night he said "well I didn't eat much daddy, I'm hungry" so he took another slice of pizza. So, he knows when he is hungry, how to deal with it, and he expresses it well. So it's pretty easy in that respect". [Mother, low social position, 32-month-old boy]. "Because the pediatrician probably told me that it was at that age that it had to be done. Because at some point they sit up, they grow up and eating is good, integrating food as they go along, developing taste, I figure it's extraordinary rather than drinking milk forever, . . . and then for them, this discovery, the face they make when there is this or that taste in their mouth, the look they make when they refuse such food because for them it is unthinkable to eat that . . . Well, anyway, it also shows that they are human beings in their own right and that they develop their own tastes. So there you go, I really followed it up, as closely as possible". [Mother, middle-class social position, two boys aged 36 months and 6 years]. For this same view, the lexical analysis indicates a parental discourse that values the "natural" rhythms of children and their ability to express their needs. Perceptions are then based on trust in the signals given and, depending on the social environment, on the image of the "healthy" child or on listening to what "the stomach can handle". "When they request food, I give them food and when they don't need to eat, I just don't insist. [ . . . ] You trust them. We have children who are very healthy when it comes to food, so we're lucky. It's an opportunity to trust them". [Father, high social position, daughter 7 months and son 4 years, p < 0.0001]. "He says "Mommy, I want an ice cream", so he chooses an ice cream he likes, he doesn't finish it, so I tell him "well Victor, you chose an ice cream that you didn't finish . . . " but I don't see the point of forcing a child to finish something, I figure that naturally he's not hungry anymore. I don't know . . . he ate a piece of his ice cream, he ate 3 4 of it, I think it was a little big for him, I don't want to be a food Hitler. So I think to myself "it is not just a whim to want food, but at some point I think that he is 3 years old, that + + Soc. Sci. 2021, 10, 292 + + 21 of 35 + + he has a stomach that can handle so much . . . " because when it comes to my children, I often work as though it were happening to me: I want dessert, but I am not hungry anymore, I am not gonna gorge myself on dessert just to finish my plate. So no . . . when I see friends doing that, it hurts my heart so much that it's unthinkable, if you've opened a bottle of wine, I'm not gonna force you to finish the whole bottle. No but it doesn't apply to everything. He wanted dessert and then he didn't want it anymore, so that means he's had enough to eat". [Mother, middle-class social position, two boys aged 36 months and 6 years]. 3.3.3. The Dynamics of Daily Food Routines The practices of daily meal preparation to feed a child consist of a sequence of opera-tions, ranging from procurement to the management of leftover storage. These operations are sequenced through routine practices (Gottlieb 2000; Dubuisson-Quellier 2006). The coordination into action sequences of such practices constitutes a cognitive economy (Piette 2013) consisting of adopting mental shortcuts to purchase, produce, consume, and manage leftovers (Poulain 2002, 2017). In previous research, we have shown that "food work" and the associated routines are inserted into the constraints of families (Dupuy and Rochedy 2018) as well as those of professionals (Dupuy et al. 2018b). This has implications on the food produced for children, in particular the presence of a certain monotony in terms of the repertoire of foods given and textures offered (Dupuy et al. 2018a). No longer weighing, no longer measuring out quantities, guessing meal portions or even serving them by the "ladle" means that daily preparation practices have been routinized with the experience acquired through the recurrence of situations as here. "I followed, I mean I figured out the quantities. For the ham, for example, I would give half a slice. Yes, it did seem very, very precise, but for example I never used the weighing scales, I used the eye but I think I would put less than more. Then, from the age of one, it's easier because there's more quantity. Yes, since in 5 months the quantities are multiplied by 5". [Mother, middle-class social position, 21-month-old boy]. It has been shown that the least educated social classes have fixed practices while families with a middle or high level of education have more varied practices (Southerton 2006; Diasio and Julien 2018). Discussing the dynamics of daily preparation practices amounts to better accounting for the effect of contexts on "food work" routine practices and their impact on quantity dosages and portion sizes served to children. Diversification in very young children involves expanding the food repertoire in terms of content, quantity and texture. During this process, which may vary according to the situation, location and socialization context, periods of stabilization and transition can be distinguished, which, as generated and motivated by parents, also affect their workload as food providers. This mother explains the seasonal adaptations that she implements: "I try as much as possible, knowing that it's been a few weeks since I started to rebalance my diet, because we are getting close to summer and so in the evening I tend to go for raw salads rather than the heavy dishes. So in the end, pasta . . . well, we had some one evening, two days ago, but other than that, I hadn't made pasta or rice or wheat for weeks. I usually save that for lunch". [Mother, middle-class social position, economic capital, 30-month-old boy]. When stabilization reflects a habit-building effort, it reinforces routinization and has a beneficial effect on parents, as it allows them to mentally relax into the "food work." However, the fact that less cognitive energy may be spent leads to nutritional errors such as when the quantity is sufficient yet the caloric density of the preparation is not, much like what this mother mentions on several occasions in the two interviews: Interview 1: "But I actually thought I was weighing, but actually I wasn't weighing, I was looking at the dose. Because that evening when I put my puree on, I said to myself, 'Damn, it's compact'. Sometimes I add water before mixing, but in this case I didn't add any, I thought there was enough. But then he must have taken maybe 300 g of puree, I'm + + Soc. Sci. 2021, 10, 292 + + 22 of 35 + + not sure. [ . . . ] But in fact I hadn't measured it and I think there was more [ . . . ] But actually it's a bit stupid, because actually you have to weigh it. Because it depends if your puree is light . . . it's not the quantity that will count in fact it's the weight. And that's where I fooled myself because my puree was very compact, and I think that this portion weighed much more than an industrial jar, which in fact contains a lot of water and everything". [Mother, high social position, a 12-month-old boy and a 4-year-old girl]. Interview 2: "And so I no longer measure. It used to do my head in, but not anymore. I pretty much get the quantities now. Before, when he was little, I used to fill the jars full, you know . . . Well, now it's pieces, it doesn't mean the same and now I can tell it's a small bowl and if he doesn't finish, he doesn't finish, it's up to him". [Mother, high social position, a 12-month-old boy and a 4-year-old girl]. This was particularly observed in the choice of texture and in the number of ingredi-ents comprising the meal, but it is also the case with the quantity served to the children. Since "food work" is tied to temporal, material and organizational constraints, and since it operates within a search for cognitive economy, dietary changes may be deferred, con-sciously or unconsciously. Indeed, putting an end to a routine requires reflexivity and renewed decision making, such as increasing the quantity served or the number of food intakes, modifying and diversifying the number of ingredients and textures offered. Rou-tinization ultimately reflects what works best, what has been successful and/or what the child prefers, allowing the caregivers to feed without hindrance and with minimal effort. Change, on the other hand, generates potential mental and physical burdens resulting in fatigue, without necessarily guaranteeing success in terms of actual consumption. This food management, a kind of daily micro-management, affects the quality as well as the quantity offered to the children. Even when parents are forced to innovate, as a result of changes in children's diets and because they respond, to a greater or lesser extent, to dietary standards and injunctions, and also as a result of the interactions, situations, and contexts in which socialization occurs, the integration of the child into the family's dietary repertoire is then an opportunity to ensure family socialization, while also alleviating the physical and mental burden on the caregivers. Learnings are carried out in a social environment marked by parental consumptions, which are themselves socially and culturally determined (Fielding-Singh 2017). This integration dimension becomes even more obvious when the child is not the first born sibling. Parents report that for the second child, diversification and integration of the child into the family food repertoire occurs more quickly (Yuan et al. 2016; Bournez et al. 2018, 2019; Dupuy et al. 2018a). Older siblings are models of integration that the child looks to for socialization. The alleviation of physical and cognitive burdens that results from this daily socialization, through serving the same ingredients as for the rest of the family, has an impact on shopping, supplies, preparation, and budget, while food is specifically tailored to meet needs that are more or less perceived and expressed in terms of tastes, nutritional composition, quantities, and portion sizes. Sometimes the quantities are identical between siblings (as, indeed, for groups of children cared for by home-based childminders in our qualitative survey). Moreover, as previously identified (Lalanne and Tibère 2008; Tibère et al. 2018), re-ported routines-that is, what is presented by parents as usual practices-may be distinct from what is observed and analyzed during the survey situation, i.e., the actual routines. This research shows the importance of contextual changes, or contingencies, in terms of the social, temporal or spatial environment of food intake. The impact of social con-texts can also come into focus in understanding the role of derogations on what is given and how much is given in connection with various educational tensions (Lalanne and Tibère 2008; Dupuy 2013; Dupuy 2017b). These are not epiphenomena in the course of socialization. Their recurrence affects the quantities offered and ultimately consumed. In this sense, contextual derogations correspond to determinants of children's appetite and satiety, and, more broadly, to the regulation of food intake in children, and reveal forms of normative distancing in situ. The following excerpt is an exchange with a concerned + + Soc. Sci. 2021, 10, 292 + + 23 of 35 + + mother during the second interview, which comes along with the viewing of photos taken of eating situations. It shows the momentary difficulties encountered by this mother with her 18-month-old son, which repeatedly resulted in milk intake and a refusal to consume anything other than a bottle. "So this one is a serious regression! He was always taking Babybio, except that it is for 6 months old, he is 18 months old; we decided that we would evolve, we would buy Blédichef, but Blédichef has pieces, so he doesn't eat them, he just turns his head. So we ended up giving him a bottle. So from time to time, when we have some, we serve him a Babybio, he takes it ok, but now for example at lunch he had a bottle. Because yeah, I brought out the Babybio from last night that he didn't eat, and he didn't want it . . . But since I'm so tired, "well, have a bottle". [The mother goes to change her son's diaper] And the craziest thing is that Arnaud doesn't eat anything, but you wouldn't believe how many poops a day he makes . . . But poops of what? Right now his poop is not brown, but rather beige, like milk poop. I'm 18 months old, I make milk poop". [Mother, downgraded social position, a 18-month-old boy]. Picture 6: Arnaud, 18 months: Dinner "failure", after failed attempt of a jar, proposal quiche/cucumber like the rest of the family, but without success. Did not eat anything, bottle offered and ok. can also come into focus in understanding the role of derogations on what is given and how much is given in connection with various educational tensions (Lalanne and Tibère 2008; Dupuy 2013; Dupuy 2017b). These are not epiphenomena in the course of socializa-tion. Their recurrence affects the quantities offered and ultimately consumed. In this sense, contextual derogations correspond to determinants of children's appetite and sa-tiety, and, more broadly, to the regulation of food intake in children, and reveal forms of normative distancing in situ. The following excerpt is an exchange with a concerned mother during the second interview, which comes along with the viewing of photos taken of eating situations. It shows the momentary difficulties encountered by this mother with her 18-month-old son, which repeatedly resulted in milk intake and a refusal to consume anything other than a bottle. "So this one is a serious regression! He was always taking Babybio, except that it is for 6 months old, he is 18 months old; we decided that we would evolve, we would buy Blédichef, but Blédichef has pieces, so he doesn't eat them, he just turns his head. So we ended up giving him a bottle. So from time to time, when we have some, we serve him a Babybio, he takes it ok, but now for example at lunch he had a bottle. Because yeah, I brought out the Babybio from last night that he didn't eat, and he didn't want it... But since I'm so tired, "well, have a bottle". [The mother goes to change her son's dia-per] And the craziest thing is that Arnaud doesn't eat anything, but you wouldn't be-lieve how many poops a day he makes... But poops of what? Right now his poop is not brown, but rather beige, like milk poop. I'm 18 months old, I make milk poop". [Mother, downgraded social position, a 18-month-old boy] Picture 6: Arnaud, 18 months: Dinner "failure", after failed attempt of a jar, proposal quiche/cucumber like the rest of the family, but without success. Did not eat anything, bottle offered and ok. Pictures 7 and 8: Arnaud, 18 months: Evening meal: Carrot puree, did not eat it. Tried a chunk of cooked carrot without success. Ended up with a bottle of milk. Pictures 7 and 8: Arnaud, 18 months: Evening meal: Carrot puree, did not eat it. Tried a chunk of cooked carrot without success. Ended up with a bottle of milk. + + Soc. Sci. 2021, 10, x FOR PEER REVIEW + + 25 of 38 + + 4. Discussion Although the interviews are partly regulated by the tools and protocols that support them, they remain social improvisations insofar as the interviewers do not control the en-tirety of the interactions and the content expressed, unlike quantitative protocols which are based on closed questions. It is therefore interesting to note the extent to which the child's appetite and satiation seem to be regulated by social, nutritional and educational norms; these norms can be objectified by the statistical analysis produced here. These lex-ical universes stem from social and normative contexts that play a significant role in the socialization of children and greatly condition the type, amount and timing of food intake by setting food repertoires, in particular the type and alternation of food intake (solid/liq-uid) as well as the structure of meals (starter and/or main course and/or dessert, drinks and snacks, etc.), food rhythms which include synchrony, social manners and forms of consumption, in particular commensality. 4. Discussion Although the interviews are partly regulated by the tools and protocols that support them, they remain social improvisations insofar as the interviewers do not control the entirety of the interactions and the content expressed, unlike quantitative protocols which are based on closed questions. It is therefore interesting to note the extent to which the child's appetite and satiation seem to be regulated by social, nutritional and educational norms; these norms can be objectified by the statistical analysis produced here. These lexical universes stem from social and normative contexts that play a significant role in the socialization of children and greatly condition the type, amount and timing of food + + Soc. Sci. 2021, 10, 292 + + 24 of 35 + + intake by setting food repertoires, in particular the type and alternation of food intake (solid/liquid) as well as the structure of meals (starter and/or main course and/or dessert, drinks and snacks, etc.), food rhythms which include synchrony, social manners and forms of consumption, in particular commensality. Among parents, mostly mothers, the results confirm the importance of nutritional and child care norms, but also the status of food models in their social dimensions, including, in particular, an ambivalent relationship to sweet foods, the importance of salty foods at meals, the learning of food rhythms, and the rules of commensality on which parents rely to determine appetite and satiation. The proportions associated with these classes reflect their importance in the whole corpus, allowing them to be ranked in a hierarchy. Class 5, which relates to the social frameworks of commensality, i.e., the learning of table manners and conviviality, is the most represented, followed by Class 1, which relates to the relationship with medical norms, insofar as infant nutrition is strongly regulated by medical, early childhood and family authorities. In France, the social norms that are expressed in terms of table manners and the medical norms regarding infant nutrition are the most socially marked determinants; they are found to be more or less articulated according to the parents. Additionally, the significant interest of parents from wealthy social backgrounds for medical norms is established as has been identified elsewhere (Gojard 2000; Régnier and Masullo 2009; Dhuot 2018). These elements concur in considering the importance of social and medical norms in the perceptions of adults concerning these two aspects, and invite us to identify how these norms are incorporated by young children, transforming their hunger into appetite, and their satiety into satiation. There are three dynamics that characterize the way in which the social system takes charge of certain perceived signals: the one that is focused on the child's growth and the evolution of his physiological, social and emotional needs; the one that is focused on the signals associated with satiation, in line with food pleasure and desire; and finally, the one related to practical and daily preparation practices, where routines are established, particularly in the management of textures and portions, thus establishing normative compliance with or distancing from the norms in situ. At first glance, these results seem to reflect a top-down education-from adults to children-regarding socialization and, in particular, hunger and satiety. Beyond physi-ological sensations, the issue of social integration of children is prevailing, with a focus on preschool admission and school meal attendance and also a gendered relationship to food. This reveals how hunger and satiation are, respectively, transmitted into appetite and satiation through the inculcation of normative frameworks and the more or less strong respect of educational principles. Social frameworks and normative goals are combined in the recommendations of the French public authorities, such as the examples of menus that are adapted according to the age of the child in the guide "L'alimentation pendant la petite enfance (de la naissance à 3 ans)" of the Programme National Nutrition Santé, available at the time of the qualitative survey on the website Manger.bouger.fr. This guide sets out the structure of a day and food intake. This jumble of normative registers can be traced, to a greater or lesser extent, in the parents' speeches revealed by this investigation. It changes according to the parents' social background, forming a relationship of attachment, distancing or even rejection to food and nutritional norms, as has been shown in other studies (Gojard 2000; Régnier and Masullo 2009; Dhuot 2018). It also changes according to experience, like the differences that can be found in families with one or more children, or the distinctions between parents and professionals in the modalities of educational delegation (Dupuy et al. 2018b). This aspect echoes a salient finding from Séverine Gojard's survey relating to the level of experience caring for young children and autonomy in relation to prescriptions (Gojard 2010). However, what varies less is this relationship to the normative content on which parents rely to express themselves, both because parental practices, especially maternal ones, are framed by a "moral magisterium" (Garcia 2011) that is prevalent with the rise of child obesity and associated pathologies, but also because + + Soc. Sci. 2021, 10, 292 + + 25 of 35 + + these norms correspond to models of conduct that are widely followed in society or in certain social groups and that are considered appropriate (Poulain 2002, 2017). As scientific findings evolve, dietary and educational standards on feeding fluctuate to describe what constitutes "good" behavior to maintain young children in a state of good health and well-being. The norm of "responsive feeding", which is more inclined to a less vertical relationship between adults and children, by making the caregivers more aware of the child's needs, is giving rise to new recommendations and prescriptions. These are disseminated by the medical community, public authorities and their agents. The effect can be to question the importance of the vertical relationship or even to accompany it with new recommendations, which are meant to correct it. However, this often happens without any regard for the importance of the contexts in which the norms that parents rely on to varying degrees of intensity are produced, and their sociohistorical anchorage. The discrepancy between medical prescriptions and daily socialization should not result in addressing, from the angle of lack of parental and often maternal nutritional skills, situations that public policies have trouble grasping in their complexity and plurality as well as in their social, cultural and historical depth. 5. Limitations of This Study The dynamics at work in children's eating were not systematically and directly ob-served in the research protocol. However, their observation would probably allow re-searchers to prioritize these determinants according to the child's gender, biological and social age, lifestyle and associated constraints. However, the iterative method used and supported by the use of photo elicitation reduces the effect of declarative and social desirability by revealing discrepancies and deviations between norms and practices, on the one hand, and declared routines and actual routines, on the other, as illustrated by the following situation: "Now it's true that, compared to what we said last time, I think I actually tend to give him a lot of food in terms of quantity. Because afterwards I discussed it with my partner and he did say to me "you've never seen the quantities they give at the nursery, but it's really small portions, and compared to what you give him, it's just enormous", well I mean it's more. [ . . . ] Because basically his baby plate shouldn't be full, and actually sometimes I do fill it up. And I don't know where that comes from . . . " [Mother, high social position, two boys aged 5 and 29 months]. Additionally, this multistep investigation process encourages the emergence of a reflexivity made possible by the identification, during the interaction, of situations of derogation linked to the numerous contexts that intervene in the socialization. This study mainly concerns children with what could be considered in pediatrics as "typical" development. Despite the fact that no exclusion criteria were set related to pathologies or early events which could have a potential consequence on the organization of child feeding (such as gastroesophageal reflux disease, cow's milk protein allergy, naso-gastric intubation, congenital abnormalities of the digestive tract, and extreme premature birth), it is obvious according to parent responses that children within this sample were not presenting any of these conditions. The present results can only be interpreted for this population. For children with specific conditions, the application of more normative feeding practices may actually be beneficial for child development (e.g., food restriction in the case of food allergy; nutritional enrichment in the case of extreme premature birth to ensure growth catch up). 6. Conclusions This article provides an overview of the levels and modalities involved in the percep-tion of hunger, appetite, satiation and satiety in young children by the adults who feed them. It highlights the influence of nutritional, social and educational norms on which parents in France rely variably according to their social backgrounds and parental experience in order to supervise the practices of young children. These levels of perception are also part of the + + Soc. Sci. 2021, 10, 292 + + 26 of 35 + + day-to-day "food work", which, through social practices, activities and interactions around food, inhibits or reinforces the effect of normative frameworks and educational models and thus socializes children and determines how much, when, what and how to eat in the household and other contexts. Finally, this article clarifies the conditions and limits of a top-down education-from adults to children-on hunger and satiety. To that end, this article relates this process to the fluctuating recommendations of "good" behavior likely to maintain young children in a state of good health and well-being and which are in keeping with scientific discoveries. In terms of applications, this study calls for better consideration of these aspects in nutritional recommendations so as not to increase the moralization of behaviors considered non-compliant. The redefinition of food education standards, on which nutritional policies for parents are based, must be established in accordance with the standards on which households rely. The risk is otherwise of saturating the already numerous normative mechanisms in France by which parents find their way, which would be counterproductive. The risk is also to participate in reinforcing the effects of "parental determinism" (Furedi 2002) by reinforcing the idea that parents are bad educators. On the epistemological level, this work brings to light a number of connections between the psycho-sensorial, psycho-cognitive and socioanthropological dimensions of food, as well as food-related education. It sheds additional light on the ways in which socialization unfolds in the interactions between the child and those around him, but also in the more or less strong and conscious movements back and forth between dietary and educational social norms, physiological, psycho-sensory and psychomotor signals emitted by the child and decoded by adults, and finally in the interactions with the daily environment, concrete practices and routines that organize socialization. In this respect, work on the food socialization of young children can contribute to a deeper understanding of the processes by which the biological, the ecological, the psychological and the sociological are shaped together. + +
Author Contributions: A.D. designed the protocol, conducted the field qualitative survey, analyzed and drafted the results, and wrote this article. S.N. secured the funding and coordinated the ANR research. S.G. participated in the data collection. S.N., C.S. and L.T. participated in writing this article. All authors read and approved the final manuscript and consent to publication in this journal.
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Funding: This research is supported by the Agence Nationale de la Recherche in France. ANR-15-CE21-0014, PUNCH, Promoting and Understanding healthy food choices in Children. The authors wish to thank the parents, home-based child care providers, and children who participated in this research. We also thank Margaux Huille and Audrey Bardet, ISTHIA trainees for this study, Joël Courant and Pierre Ratinaud for computer science support and Christelle Abraham for the financial management of this research. Thank also the ISTHIA. We would like to thank Marie Laurent-Badin Vilain for translating this article into English. Finally, we thank the reviewers from Social Sciences, Jean-Pierre Poulain, guest editor, and Marina Crina, assistant editor, who contributed to the improvement of our article. The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by Ethics Committee of Université Fédérale de Toulouse IRB # 1 (retrospective ethical approval N°: IRB00011835-2019-09-24-180, 9/24/2019).
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Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.
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Conflicts of Interest: The authors declare no conflict of interest. The founding sponsors (ANR) had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; and in the decision to publish the results.
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Appendix A Table A1. Interview guide. Parents Topics Subtopics Information about the respondent and his/her family Family situation and organization Food at home Provisioning, including focus on child Meal preparation, including a focus on the child Preparation of child's meals: help, influences, recommendations and consideration of needs and wishes expressed by the child Child's relationship to food How does the child express that he is hungry? That he is satiated? How to describe the child's appetite Child's nutrition and child care arrangements Educational delegation and food delegation Dietary adjustments according to the child's advancement in age Evolution of the diet Relationship to weight in childhood Before diversification Breast-feeding methods and weaning Educational styles and eating styles Transmission issues and life experience Differences between children in multiparous families Photo protocol Meals and leftovers contextualized according to specific situations (e.g., when the child is tired, when you are tired, the child liked, the child did not like) Second interview Link with the previous interview: changes, clarifications to be made according to the respondent Forgotten questions, poorly conducted follow-up, paradoxes identified by the interviewer Description about the photos taken (contexts, reasons for selection, quantities served and leftovers left by the child)
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Appendix B. Details of the Lexicometric Analyses Carried Out on the Corpus To constitute each corpus, preparation is necessary, consisting of division into units: here, each parent constitutes an initial context unit to which certain characteristics are associated. These additional variables are introduced to compare their distribution in the classes of significant statements. These classes are generated following a hierarchical top-down classification that combines vocabulary and statements similar to each other and distinct from those of other classes. For each corpus, a hierarchical top-down classification is conducted to identify, using an iterative procedure, the classes of significant statements and to highlight the general themes of the corpus as well as the internal organization of the discourse. In addition to the frequency of words within classes, the analysis enables us to understand the variety of discourse, the meaning of words and their relationships. The results (selection) are represented by dendrograms and tables (in Appendices C and D, below), allowing identifying the segmentation of the corpus into classes. Each class contains a certain number of words, which are sorted by their strength of association with the class. The words appearing at the top of the list of the class words (or in large characters in the dendrograms with associated words) are the most representative words of the class according to the value and the strength of their chi2: the higher the chi2, the more likely the hypothesis of dependence between the word and the class. When a word is found in several classes, its position in the word list means that it is characteristic of that particular
+ + Soc. Sci. 2021, 10, 292 + + 28 of 35 + + class compared to others. Finally, the lower the p value, the smaller the margin of error of the dependency test. Concerning the corpus (see Section 3.2), the analyses are carried out on a corpus of 28 texts, corresponding to the 28 households surveyed, comprising 430,926 occurrences, 6874 lemmas and 2594 hapaxes (0.60% of the occurrences-38% of the forms). The average number of occurrences per text is 15,390. As a result, 14 initial context units have been intro-duced to differentiate each parent. In the software, these are starred words to characterize the number of the parent in order to differentiate him/her: the status of the respondent (mother or father), the number of children, the social position of the household based on the level of diploma and resources of the parents, the level of diploma and resources of the household, the sex of the child, the medical follow-up of the child, the age of the child, the relationship to nutritional recommendations declared by the parent based on the ques-tion about the sources of advice for breastfeeding, weaning and diversification, duration of breastfeeding, age of diversification, season of diversification, type of diversification (salty or sweet) and type of food served for diversification (homemade, industrial jar, or combination). The dynamic analysis is then processed on the basis of the corpus of 20 parents interviewed on two occasions (see Section 3.3.1). In this analysis, the lexical universes are compared within a period of 44 days on average (σ = 28.6). The analyses cover a corpus of 40 texts. For the corpus relating to the first interview, it includes 245,527 occurrences, 5330 lemmas and 2057 hapaxes (0.84% of occurrences-39% of forms). The average number of occurrences per text is 12,276. For the corpus relating to the second interview, it includes 121,928 occurrences, 3861 lemmas and 1617 hapax (1.33% of the occurrences-42% of the forms) and the average of the occurrences per text is 6096. + +
Appendix C Table A2. Classes, ratio, Chi2 and p for parents: first associated words. Words Subtotal to Total Ratio Chi2 p Class 1 Relating to the Medical 2507/11,387 = 22.02% of Classified Segments Weight 98/104 = 94.23% 318.8 p < 0.0001 Height 40/50 = 80% 98.34 p < 0.0001 Concern 58/78 = 74.36% 125.33 p < 0.0001 Problem 86/162 = 53.09% 92.4 p < 0.0001 Difficulties 67/123 = 54.47% 76.29 p < 0.0001 Reflux 34/37 = 91.89% 105.56 p < 0.0001 Worry 41/78 = 52.56% 42.69 p < 0.0001 Girls 49/76 = 64.47% 80.33 p < 0.0001 Health 43/47 = 91.49% 132.67 p < 0.0001 Curve 66/66 = 100% 235.14 p < 0.0001 Pediatrician 125/168 = 74.4% 272.58 p < 0.0001 Doctor 96/116 = 82.76% 251.85 p < 0.0001 Booklet (Health) 19/19 = 100% 67.41 p < 0.0001 General practitioner 19/19 = 100% 67.41 p < 0.0001
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Table A2. Cont. Words Subtotal to Total Ratio Chi2 p Growth 21/26 = 80.77% 52.39 p < 0.0001 Allergy 22/26 = 84.62% 59.48 p < 0.0001 Weighing 24/34 = 70.59% 46.86 p < 0.0001 Vomiting 29/44 = 65.91% 49.56 p < 0.0001 Body 14/16 = 87.5% 40.02 p < 0.0001 Sick 54/116 = 46.55% 41.09 p < 0.0001 Parents with high education and income 201/615 = 32.68% 43.08 p < 0.0001 Children followed by a pediatrician and a general practitioner 869/3385 = 25.67% 37.5 p < 0.0001 Class 2 Relationship to the sweet food repertoire 2018/11,387 = 17.72% of classified segments Chocolate 136/179 = 75.98% 423.27 p < 0.0001 Cakes 129/231 = 55.84% 235.0 p < 0.0001 Sweet 136/191 = 71.2% 381.07 p < 0.0001 Sugar 103/124 = 83.06% 367.09 p < 0.0001 Parents with the lowest levels of education and income 98/450 = 21.78% 5.29 p = 0.02150 Fruits 238/334 = 71.26% 676.34 p < 0.0001 Compotes 230/355 = 64.79% 556.69 p < 0.0001 Organic 130/155 = 83.87% 471.56 p < 0.0001 Markets 94/150 = 62.67% 210.58 p < 0.0001 Dairy products 147/480 = 30.63% 57.22 p < 0.0001 Yogurts 270/369 = 73.17% 804.12 p < 0.0001 Cheese 114/273 = 41.76% 110.83 p < 0.0001 Parents with high levels of education and income 137/615 = 22.28% 9.25 p = 0.00235 High social position 795/4206 = 18.9% 6.36 p = 0.01164 Class 3 Relationship to the salty food repertoire 2415/11,387 = 21.21% of classified segments Vegetables 328/473 = 69.34% 684.29 p < 0.0001 Carrot 202/226 = 89.38% 641.27 p < 0.0001 Tomato 113/121 = 93.39% 381.3 p < 0.0001 Zucchini 97/105 = 92.38% 321.26 p < 0.0001 Pasta 221/310 = 71.29% 478.33 p < 0.0001 Rice 106/147 = 72.11% 230.9 p < 0.0001 Meat 248/316 = 78.48% 637.99 p < 0.0001 Ham 118/132 = 89.39% 371.56 p < 0.0001
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Table A2. Cont. Words Subtotal to Total Ratio Chi2 p Parents compliant with the norms 1470/6274 = 23.43% 41.27 p < 0.0001 Parents with a daughter 1117/4810 = 23.22% 20.22 p < 0.0001 Parents with a high level of education 327/1347 = 24.28% 8.6 p = 0.00335 Parents with low income but high education 419/1769 = 23.69% 7.69 p = 0.00554 Class 4 Temporal framework of food socialization 1659/11,387 = 14.57% of classified segments Morning 239/378 = 63.23% 743.73 p < 0.0001 Evening 308/668 = 46.11% 567.1 p < 0.0001 Night 128/167 = 76.65% 524.75 p < 0.0001 Noon 207/384 = 53.91% 494.06 p < 0.0001 Waking up 99/113 = 87.61% 489.21 p < 0.0001 Time 166/306 = 54.25% 397.76 p < 0.0001 Parents reporting medical follow-up of their child by a pediatrician 1112/6687 = 16.63% 55.24 p < 0.0001 Parents of a middle-class social position 424/2544 = 16.67% 11.58 p = 0.00066 Parents with a moderate level of education and income 384/2294 = 16.74% 11.58 p = 0.00097 Parents with a low level of education and income 222/1291 = 17.2% 8.07 p = 0.00449 Primiparous 1073/7002 = 15.32% 8.33 p = 0.00390 Class 5 Social framework of food socialization 2788/11,387 = 24.48% of classified segments Table 241/321 = 75.08% 457.3 p < 0.0001 Play 165/247 = 66.8% 244.53 p < 0.0001 Hunger 237/429 = 55.24% 228.14 p < 0.0001 Meals 244/632 = 38.61% 72.19 p < 0.0001 Parents with low social position 226/748 = 30.21% 14.22 p = 0.00016 Parents with a low level of education and income 201/692 = 29.05% 8.29 p = 0.00397
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Appendix D Table A3. Classes, ratio, Chi2 and p for parents in the second interview: first associated words. Words Subtotal to Total Ratio Chi2 p Class 1 Relating to the salty food repertoire 245/1485 = 16.5% of classified segments Tomato 23/26 = 88.46% 99.48 p < 0.0001 Meat 33/48 = 68.75% 98.31 p < 0.0001 Egg 22/26 = 84.62% 89.13 p < 0.0001 Sauce 17/17 = 100% 87.04 p < 0.0001 Season diversification 208/864 = 24.07% 86.07 p < 0.0001 Diversification at 5 months 153/563 = 27.18% 75.04 p < 0.0001 Class 2 Perceived changes in child's development 577/1485 = 38.86% of classified segments Child 43/58 = 74.14% 31.63 p < 0.0001 Month 34/47 = 72.34% 22.91 p < 0.0001 Curve 14/14 = 100% 22.24 p < 0.0001 Weight 15/16 = 93.75% 20.52 p < 0.0001 Girl 20/24 = 83.33% 20.31 p < 0.0001 Diversification at 5 months 1 2 61/70 = 87.14% 72.1 p < 0.0001 High social position 95/143 = 66.43% 50.66 p < 0.0001 Standards_promotion 148/265 = 55.85% 39.21 p < 0.0001 Class 3 Relating to the sweet food repertoire 435/1485 = 29.29% of classified segments Buy 70/95 = 73.68% 96.56 p < 0.0001 Yogurt 57/71 = 80.28% 93.6 p < 0.0001 Compote 43/51 = 84.31% 77.19 p < 0.0001 Fruit 34/44 = 77.27% 50.4 p < 0.0001 Dessert 27/32 = 84.38% 47.91 p < 0.0001 Chocolate 32/45 = 71.11% 39.18 p < 0.0001 Standards_distance 42/63 = 66.67% 44.37 p < 0.0001 No breastfeeding 82/161 = 50.93% 40.82 p < 0.0001 Follow-up_pediatrician 259/709 = 36.53% 34.31 p < 0.0001 Sex of child_boy 235/668 = 35.18% 20.31 p < 0.0001 Class 4 Temporal framework of food socialization 228/1485 = 15.35% of classified segments Wake up 16/16 = 100% 89.17 p < 0.0001 Bottle feeding 27/41 = 65.85% 82.74 p < 0.0001 Night 16/17 = 94.12% 82.09 p < 0.0001 Morning 29/49 = 59.18% 74.9 p < 0.0001 Sleep 13/13 = 100% 72.3 p < 0.0001 Bedtime 17/21 = 80.95% 70.53 p < 0.0001 Time 19/26 = 73.08% 68.85 p < 0.0001 Salty type diversification 196/1000 = 19.6% 42.48 p < 0.0001 Sex of child_boy 140/668 = 20.96% 57.78 p < 0.0001 Follow-up_pediatrician 141/709 = 19.89% 21.46 p < 0.0001 Family_Multiparous 120/589 = 20.37% 18.93 p < 0.0001
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Notes 1 "Food work" is defined as household and caring work related to food to highlight gender differences in materialist feminist approaches (DeVault 1991; Cairns and Josée 2015; Parsons 2015; O'Connell and Brannen 2016). Our conception of "food work" extends this perspective. We add parental work, as well as relational, affective and emotional work related to meal preparation because it brings additional physical and mental loads in the nurturing activity (Dupuy 2013; Dupuy 2017a; Dupuy et al. 2018b). This addition is relevant in a context favorable to "parental determinism" (Furedi 2002) and to the increase in injunctions to "good parenting" (Martin 2014).
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diff --git a/grobid-trainer/src/main/java/org/grobid/trainer/HeaderTrainer.java b/grobid-trainer/src/main/java/org/grobid/trainer/HeaderTrainer.java index e2e569851b..8c29f9b49e 100755 --- a/grobid-trainer/src/main/java/org/grobid/trainer/HeaderTrainer.java +++ b/grobid-trainer/src/main/java/org/grobid/trainer/HeaderTrainer.java @@ -81,7 +81,7 @@ public int addFeaturesHeaders(String sourceFile, // we process all tei files in the output directory File[] refFiles = pathh.listFiles(new FilenameFilter() { public boolean accept(File dir, String name) { - return name.endsWith(".tei") | name.endsWith(".tei.xml"); + return name.endsWith(".tei") || name.endsWith(".tei.xml"); } }); @@ -109,7 +109,7 @@ public boolean accept(File dir, String name) { for (File teifile : refFiles) { String name = teifile.getName(); - System.out.println(name); + //System.out.println(name); TEIHeaderSaxParser parser2 = new TEIHeaderSaxParser(); parser2.setFileName(name); @@ -130,20 +130,29 @@ public boolean accept(File dir, String name) { File[] refFiles2 = refDir2.listFiles(); for (File aRefFiles2 : refFiles2) { String localFileName = aRefFiles2.getName(); - if (localFileName.equals(parser2.getPDFName() + ".header") || - localFileName.equals(parser2.getPDFName() + ".training.header")) { - headerFile = localFileName; - break; - } - if ((localFileName.startsWith(parser2.getPDFName() + "._")) && - (localFileName.endsWith(".header") || localFileName.endsWith(".training.header") )) { - headerFile = localFileName; - break; + if (parser2.getPDFName() != null) { + if (localFileName.equals(parser2.getPDFName() + ".header") || + localFileName.equals(parser2.getPDFName() + ".training.header")) { + headerFile = localFileName; + break; + } + if ((localFileName.startsWith(parser2.getPDFName() + "._")) && + (localFileName.endsWith(".header") || localFileName.endsWith(".training.header") )) { + headerFile = localFileName; + break; + } + } + if (headerFile == null) { + if (localFileName.equals(name.replace(".tei.xml", ""))) { + headerFile = localFileName; + } } } - if (headerFile == null) + if (headerFile == null) { + System.out.println("raw header file not found for " + name); continue; + } String pathHeader = headerPath + File.separator + headerFile; int p = 0; diff --git a/grobid-trainer/src/main/java/org/grobid/trainer/sax/TEIFundingAcknowledgementSaxParser.java b/grobid-trainer/src/main/java/org/grobid/trainer/sax/TEIFundingAcknowledgementSaxParser.java index a159e0747d..dc3475e7bf 100644 --- a/grobid-trainer/src/main/java/org/grobid/trainer/sax/TEIFundingAcknowledgementSaxParser.java +++ b/grobid-trainer/src/main/java/org/grobid/trainer/sax/TEIFundingAcknowledgementSaxParser.java @@ -57,8 +57,8 @@ public void endElement(java.lang.String uri, java.lang.String localName, java.lang.String qName) throws SAXException { if (( (qName.equals("funder")) || (qName.equals("grantName")) || (qName.equals("grantNumber")) || (qName.equals("projectName")) || - (qName.equals("programName")) || (qName.equals("individual")) || (qName.equals("institution")) || (qName.equals("infrastructure")) - || (qName.equals("affiliation"))) & (currentTag != null)) { + (qName.equals("programName")) || (qName.equals("individual")) || (qName.equals("institution")) || (qName.equals("affiliation"))) + && (currentTag != null)) { String text = getText(); writeField(text); } else if (qName.equals("funding") || qName.equals("acknowledgment") ) { diff --git a/grobid-trainer/src/main/java/org/grobid/trainer/sax/TEIHeaderSaxParser.java b/grobid-trainer/src/main/java/org/grobid/trainer/sax/TEIHeaderSaxParser.java index a001bc9f32..7325c80744 100755 --- a/grobid-trainer/src/main/java/org/grobid/trainer/sax/TEIHeaderSaxParser.java +++ b/grobid-trainer/src/main/java/org/grobid/trainer/sax/TEIHeaderSaxParser.java @@ -56,6 +56,8 @@ public void setFileName(String name) { } public String getPDFName() { + if (pdfName != null && pdfName.startsWith("_")) + return pdfName.substring(1); return pdfName; }