Search results for "C5.0"

showing 9 items of 9 documents

Public discussion on a proposed revision of the International Code of Nomenclature of Prokaryotes

2021

The Editorial Board for the International Code of Nomenclature of Prokaryotes (ICNP) has compiled proposed revisions of the ICNP. As outlined previously (Oren et al., Int J Syst Evol Microbiol 2021;71:004598; https://doi.org/10.1099/ijsem.0.004598) and to comply with Articles 13(b)(4) and 4(d) of the statutes of the International Committee on Systematics of Prokaryotes, a public discussion of the document will start on 1 July 2021, to last for 6 months. Here, we present the procedure for this discussion.

0106 biological sciences0301 basic medicineEcology (disciplines)C100Library scienceInternational Committee on Systematics of ProkaryotesGeneral MedicineEditorial boardC500BiologyInternational Code of Nomenclature of ProkaryotesClassification010603 evolutionary biology01 natural sciencesMicrobiologyProkaryotic CodeInternational codeStatute03 medical and health sciences030104 developmental biologyPublic discussionProkaryotic CellsTerminology as TopicNomenclatureEcology Evolution Behavior and Systematics
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Emendation of Rules 5b, 8, 15 and 22 of the International Code of Nomenclature of Prokaryotes to include the rank of phylum.

2021

Following the International Committee on Systematics of Prokaryotes electronic discussion and vote on proposals to include the rank of phylum in the rules of the International Code of Nomenclature of Prokaryotes, we here announce the results of the ballot. We also present draft versions of the emended Rules 5b, 8, 15 and 22, based on the outcome of the ballot, to be included in the proposal for the preparation of a new revision of the International Code of Nomenclature of Prokaryotes.

0106 biological sciences0301 basic medicineInformation retrievalPhylumRank (computer programming)General MedicineC500Biology010603 evolutionary biology01 natural sciencesMicrobiologyInternational code03 medical and health sciences030104 developmental biologyBallotProkaryotic CellsTerminology as TopicNomenclatureEcology Evolution Behavior and SystematicsPhylogenyInternational journal of systematic and evolutionary microbiology
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Twitter as a tool for teaching and communicating microbiology: the #micromoocsem initiative

2016

López-Goñi, Ignacio et al.

0301 basic medicineComputer scienceHuman immunodeficiency virus (HIV)medicine.disease_causeMicrobiologíaSocial networksMultidisciplinary approachScience communicationDuration (project management)Biology (General)lcsh:QH301-705.5X300Centro Oceanográfico de Gijónmedia_commoneducation.field_of_studylcsh:LC8-66914. Education05 social sciences050301 educationC500Special aspects of educationsocial networkGeneral Agricultural and Biological SciencesP990AcuiculturaQH301-705.5media_common.quotation_subject030106 microbiologyPopulationTwitterAcademic practiceTips & Toolscollaborative teachingMOOCMicrobiologyGeneral Biochemistry Genetics and Molecular BiologyEducationMicrobiology03 medical and health sciencesactive learningmedicineInstitutioneducationGeneral Immunology and MicrobiologyLC8-6691lcsh:Special aspects of educationTeachingmicrobiologySocial learningsocial learningMicroMOOCSEMlcsh:Biology (General)0503 education
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Sourdough Fermentation Degrades Wheat Alpha-Amylase/Trypsin Inhibitor (ATI) and Reduces Pro-Inflammatory Activity

2020

The ingestion of gluten-containing foods can cause wheat-related disorders in up to 15% of wheat consuming populations. Besides the role of gluten, &alpha

Health (social science)wheat sensitivity030309 nutrition & dieteticsPlant Sciencelcsh:Chemical technologyHealth Professions (miscellaneous)ACTIVATION0302 clinical medicineGLUTATHIONElcsh:TP1-1185Amylaseinnate immunityfermentation2. Zero hungerchemistry.chemical_classificationAMYLASE-TRYPSIN-INHIBITORS0303 health sciencesbiologydigestive oral and skin physiologyC100LACTOBACILLIfood and beveragesC500C700TrypsinBiochemistry030211 gastroenterology & hepatology3143 NutritionAlpha-amylaseCELIAC GLUTEN SENSITIVITYmedicine.drugProteasesINTESTINAL INFLAMMATIONPROTEINSTrypsin inhibitordigestive systemMicrobiologyArticle03 medical and health sciencesmedicineYEASTnutritional and metabolic diseasesGlutendigestive system diseasesYeastlactic acid bacteriaDOUGH416 Food Sciencechemistrybioactivitybiology.proteinFermentationPROLAMIN HYDROLYSISFood ScienceFoods
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Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020

2020

8 páginas, 3 figuras

Infecções Respiratórias0301 basic medicineMESH: Coronavirus InfectionsEpidemiology[SDV]Life Sciences [q-bio]Distribution (economics)WastewaterMESH: Base SequenceSevere Acute Respiratory SyndromeMESH: World Health OrganizationPandemicMESH: CoronavirusMESH: COVID-19SequencingViralCladeNomenclatureGenomebiologyNomenclatureCOVID-19; Europe; NGS; SARS-CoV-2; WGS; nomenclature; sequencing; Base Sequence; Betacoronavirus; COVID-19; Coronavirus; Coronavirus Infections; Europe; Genome Viral; Humans; Phylogeography; Pneumonia Viral; RNA Viral; RNA-Dependent RNA Polymerase; SARS-CoV-2; Severe Acute Respiratory Syndrome; Spatio-Temporal Analysis; World Health Organization; PandemicsC500sequencingEuropean region3. Good healthEuropePhylogeographyGeographyMESH: PhylogeographyMESH: RNA-Dependent RNA PolymeraseMESH: RNA ViralNGSMESH: BetacoronavirusRNA ViralSpatio-Temporal AnalysinomenclatureMESH: Genome ViralCoronavirus InfectionsCartographyHumanBioquímicaMESH: PandemicsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CoronaviruPneumonia Viral030106 microbiologyGenome ViralWorld Health OrganizationCOVID-19 ; Europe ; NGS ; SARS-CoV-2 ; WGS ; nomenclature ; sequencing03 medical and health sciencesBetacoronavirusMESH: Spatio-Temporal AnalysisSpatio-Temporal AnalysisMESH: Severe Acute Respiratory SyndromeVirologyHumansMESH: SARS-CoV-2PandemicsWhole genome sequencingMESH: HumansWhole Genome SequencingBetacoronaviruBase SequenceCoronavirus Infectionbusiness.industrySARS-CoV-2Public Health Environmental and Occupational HealthCOVID-19Pneumoniabiology.organism_classificationRNA-Dependent RNA PolymeraseB900Coronavirus030104 developmental biologyMESH: Pneumonia ViralRNASARS_CoV-23111 BiomedicineMESH: EuropeHuman medicinebusinessBetacoronavirusWGSEurosurveillance
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NEIGHBORHOOD EFFECTS IN SPATIAL HOUSING VALUE MODELS. THE CASE OF THE METROPOLITAN AREA OF PARIS (1999)

2009

In hedonic housing models, the spatial dimension of housing values are traditionally processed by the impact of neighborhood variables and accessibility variables. In this paper we show that spatial effects might remain once neighborhood effects and accessibility have been controlled for. We notably stress on three sides of neighborhood effects: social capital, social status and social externalities and consider the accessibility to the primary economic center as describing the urban spatial trend. Using spatial econometrics specifications of the hedonic equation, we estimate whether spatial effects impact the housing values. Our empirical case concerns the Metropolitan Area (MA) of Paris i…

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use PatternsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingC520Modèle hédoniqueJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions[SHS.ECO]Humanities and Social Sciences/Economics and FinanceC120C520R140R210 [Hedonic modelhousing valueneighborhood effectsspatial econometricsModèle hédoniquevaleur immobilièreeffets de voisinageéconométrie spatiale JEL Classification]JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsR210JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use Patternsspatial econometricsvaleur immobilièreeffets de voisinageneighborhood effectsHedonic model[ SHS.ECO ] Humanities and Social Sciences/Economies and financeshousing valueéconométrie spatiale JEL Classification : C120[SHS.ECO] Humanities and Social Sciences/Economics and FinanceR140
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Olfaction scaffolds the developing human from neonate to adolescent and beyond

2020

The impact of the olfactory sense is regularly apparent across development. The fetus is bathed in amniotic fluid (AF) that conveys the mother's chemical ecology. Transnatal olfactory continuity between the odours of AF and milk assists in the transition to nursing. At the same time, odours emanating from the mammary areas provoke appetitive responses in newborns. Odours experienced from the mother's diet during breastfeeding, and from practices such as pre-mastication, may assist in the dietary transition at weaning. In parallel, infants are attracted to and recognize their mother's odours; later, children are able to recognize other kin and peers based on their odours. Familiar odours, su…

MaleBreastfeedingAdaptation BiologicalDevelopmental psychology0302 clinical medicineParent-Child RelationsChild[SDV.BDD]Life Sciences [q-bio]/Development BiologyReciprocity (cultural anthropology)media_commonAged 80 and over0303 health sciencesFamily unitcommunicationC100food and beveragesC500ArticlesMiddle AgedSmellMate choiceChild Preschoolbehavior and behavior mechanismsmaternal effectsFemaleGeneral Agricultural and Biological SciencesPsychologypsychological phenomena and processesolfactionAdultAdolescentOffspringmedia_common.quotation_subjectemotionOlfactionsocial cognitionGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesYoung AdultSocial cognitionPerceptionparasitic diseasesHumansNonverbal Communicationattachment030304 developmental biologyAgedfungiInfant NewbornInfantC400Olfactory PerceptionOdorants030217 neurology & neurosurgery
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Factors affecting the amount and the mode of merocyanine 540 binding to the membrane of human erythrocytes. A comparison with the binding to leukemia…

1995

Abstract In the presence of albumin Merocyanine 540 (MC540) exhibits a very limited binding to the outer surface of the membrane of normal erythrocytes, whereas pronounced binding is observed to leukemia cells. To find out whether this difference is due to differences in the composition or structural organization of the cell membrane we analyzed effects of a number of covalent and non-covalent perturbations of the red cell membrane on the binding and fluorescence characteristics of membrane-bound MC540. It is shown that exposure of the cells to cationic chlorpromazine, neuraminidase or photodynamic treatment with AlPcS 4 as sensitizer caused a limited increase (30–50%) of MC540 binding, tog…

Radiation-Sensitizing AgentsTMA-DPHHot TemperatureIndolesBSALightChlorpromazineLipid BilayersBiophysicsPhospholipidNeuraminidaseQuantum yieldPyrimidinonesBiochemistryCell membranechemistry.chemical_compoundt-BuOOHOrganometallic CompoundsTumor Cells CulturedmedicineMerocyanine 540HumansPBSCell MembraneErythrocyte MembraneMembrane structureCell Biologymedicine.diseasePEGFluorescenceDIDSLeukemiaLeukemia cellAlPcS4CholesterolSpectrometry FluorescenceMembranemedicine.anatomical_structureBNML cellsBiochemistrychemistryLeukemia MyeloidCovalent bondBiophysicsMC540Biochimica et Biophysica Acta (BBA) - Biomembranes
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Uzraudzītas mašīnmācīšanās klasifikatoru izpēte un empīriska salīdzināšana

2015

Maģistra darbā ir salīdzināti uzraudzītas mašīnmācīšanās klasifikatori SVM, C5.0 un C6.0. Darba pirmajā daļā veikta SVM, C5.0 un C6.0 klasifikatoru salīdzināšana pēc ieejas datu formāta un saprotamības, izejas datu formāta un saprotamība un algoritma darbības principa. Otrajā daļā veikta SVM, C5.0 un C6.0 klasifikatoru empīriska salīdzināšana. Rezultātā izveidots vērtīgs mašīnmācīšanās klasifikatora C6.0 salīdzinājums ar citiem uzraudzītas mašīnmācīšanās klasifikatoriem, novērtējot klasifikācijas kļūdas procentu. Klasifikatoru testēšanai galvenokārt tika izmantotas diskrētas datu kopas, taču pilnvērtīgākam salīdzinājumam, tika iekļautas arī datu kopas ar trūkstošām un skaitliskām vērtībām. …

empīrisks salīdzinājumsDatorzinātneSVMUzraudzīta mašīnmācīšanāsC5.0C6.0
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