Search results for " Statistical"

showing 10 items of 1649 documents

Wavelength selection of rippling patterns in myxobacteria

2016

Rippling patterns of myxobacteria appear in starving colonies before they aggregate to form fruiting bodies. These periodic traveling cell density waves arise from the coordination of individual cell reversals, resulting from an internal clock regulating them, and from contact signaling during bacterial collisions. Here we revisit a mathematical model of rippling in myxobacteria due to Igoshin et al.\ [Proc. Natl. Acad. Sci. USA {\bf 98}, 14913 (2001) and Phys. Rev. E {\bf 70}, 041911 (2004)]. Bacteria in this model are phase oscillators with an extra internal phase through which they are coupled to a mean-field of oppositely moving bacteria. Previously, patterns for this model were obtaine…

0301 basic medicinePeriodicityPhase transitionPhase (waves)FOS: Physical sciencesModels BiologicalMotion03 medical and health sciencesQuantum mechanicsWavenumberComputer SimulationMyxococcalesPhysics - Biological PhysicsCondensed Matter - Statistical MechanicsPhysicsStatistical Mechanics (cond-mat.stat-mech)Kuramoto modelNonlinear systemWavelength030104 developmental biologyClassical mechanicsNonlinear DynamicsMean field theoryBiological Physics (physics.bio-ph)RipplingLinear Models
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Stochastic sampling effects favor manual over digital contact tracing.

2020

Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of contagion chains relies on two complementary strategies: manual reconstruction of contacts based on interviews and a digital (app-based) privacy-preserving contact tracing. We compare their effectiveness using model parameters tailored to describe SARS-CoV-2 diffusion within the activity-driven model, a general empirically validated framework for network dynamics. We show that, even for equal probability of tracing a contact, manual tracing robustly performs better than the digital protocol, also taking into accou…

0301 basic medicinePhysics - Physics and SocietyComputer scienceEpidemiologyScienceComplex networksFOS: Physical sciencesGeneral Physics and AstronomyPhysics and Society (physics.soc-ph)Tracingcomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyArticleSpecimen Handling03 medical and health sciences0302 clinical medicineHumans030212 general & internal medicineQuantitative Biology - Populations and EvolutionPandemicsCondensed Matter - Statistical Mechanicsstochastic modelProtocol (science)Stochastic ProcessesMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)Stochastic processDiagnostic Tests RoutineSARS-CoV-2QPopulations and Evolution (q-bio.PE)Sampling (statistics)COVID-19General ChemistryComplex networkModels TheoreticalNetwork dynamics030104 developmental biologyFOS: Biological sciencesScalabilityQuarantineData miningContact TracingcomputerContact tracingAlgorithmsNature communications
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Expectation or Sensorial Reality? An Empirical Investigation of the Biodynamic Calendar for Wine Drinkers.

2017

International audience; The study's aim was to investigate a central tenet of biodynamic philosophy as applied to wine tasting, namely that wines taste different in systematic ways on days determined by the lunar cycle. Nineteen New Zealand wine professionals tasted blind 12 Pinot noir wines at times determined within the biodynamic calendar for wine drinkers as being favourable (Fruit day) and unfavourable (Root day) for wine tasting. Tasters rated each wine four times, twice on a Fruit day and twice on a Root day, using 20 experimenter-provided descriptors. Wine descriptors spanned a range of varietal-relevant aroma, taste, and mouthfeel characteristics, and were selected with the aim of …

0301 basic medicineQuestionnairesMaleTasteLeavesMeteorological Concepts[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionSocial Scienceslcsh:MedicineWinePlant ScienceEmpirical ResearchDevelopmental psychologyLunar CycleMathematical and Statistical TechniquesSurveys and QuestionnairesMedicine and Health SciencesPsychologyFood scienceMoonlcsh:SciencePrincipal Component AnalysisMultidisciplinaryAlcoholic BeveragesPlant Anatomydigestive oral and skin physiologyTaste Perceptionfood and beveragesAgriculture04 agricultural and veterinary sciencesMiddle Aged040401 food scienceResearch DesignqualityTasteAlimentation et NutritionPhysical Sciencesquality;colorSensory PerceptionFemaleWine tastingPsychologyStatistics (Mathematics)Autre (Sciences du Vivant)Research ArticleAdultSensationFlowersResearch and Analysis MethodsBeverages03 medical and health sciencesMouthfeel0404 agricultural biotechnologyPressureFood and NutritionHumansStatistical MethodsNutritionWineAnalysis of Variance030109 nutrition & dieteticsSurvey Researchlcsh:RBiology and Life SciencesDietcolorMultivariate Analysislcsh:Q[SDV.AEN]Life Sciences [q-bio]/Food and NutritionMathematicsNeurosciencePLoS ONE
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Epigenetic Control of Phenotypic Plasticity in the Filamentous Fungus Neurospora crassa

2016

Abstract Phenotypic plasticity is the ability of a genotype to produce different phenotypes under different environmental or developmental conditions. Phenotypic plasticity is a ubiquitous feature of living organisms, and is typically based on variable patterns of gene expression. However, the mechanisms by which gene expression is influenced and regulated during plastic responses are poorly understood in most organisms. While modifications to DNA and histone proteins have been implicated as likely candidates for generating and regulating phenotypic plasticity, specific details of each modification and its mode of operation have remained largely unknown. In this study, we investigated how e…

0301 basic medicineRNA-interferenssiGenotypeInvestigationsQH426-470MethylationModels BiologicalHistone methylationEpigenesis GeneticNeurospora crassaHistonesGene Knockout Techniques03 medical and health sciencesRNA interferenceHistone demethylationGene Expression Regulation FungalHistone methylationGeneticshistone deacetylationEpigeneticshistone methylationGenetikMolecular BiologyGeneCrosses GeneticGenetic Association StudiesGenetics (clinical)Histone deacetylationGeneticsAnalysis of VariancePhenotypic plasticityModels StatisticalDNA methylationNeurospora crassabiologyAcetylationbiology.organism_classificationDNA-metylaatioPhenotype030104 developmental biologyHistonereaction normMutationDNA methylationbiology.proteinta1181fungisienetAlgorithmsG3: Genes, Genomes, Genetics
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Uhlmann number in translational invariant systems

2019

We define the Uhlmann number as an extension of the Chern number, and we use this quantity to describe the topology of 2D translational invariant Fermionic systems at finite temperature. We consider two paradigmatic systems and we study the changes in their topology through the Uhlmann number. Through the linear response theory we linked two geometrical quantities of the system, the mean Uhlmann curvature and the Uhlmann number, to directly measurable physical quantities, i.e. the dynamical susceptibility and to the dynamical conductivity, respectively.

0301 basic medicineSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciMathematics::Analysis of PDEsFOS: Physical scienceslcsh:MedicineCurvatureArticleCondensed Matter - Strongly Correlated Electrons03 medical and health sciences0302 clinical medicineTopological insulatorsInvariant (mathematics)lcsh:ScienceCondensed Matter - Statistical MechanicsMathematicsMathematical physicsPhysical quantityQuantum PhysicsMultidisciplinaryChern classStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)lcsh:RUhlmann number Chern number 2D topological Fermionic systems finite temperature dynamical susceptibility dynamical conductivity030104 developmental biologylcsh:QQuantum Physics (quant-ph)Theoretical physicsLinear response theory030217 neurology & neurosurgeryScientific Reports
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Retrieving infinite numbers of patterns in a spin-glass model of immune networks

2013

The similarity between neural and immune networks has been known for decades, but so far we did not understand the mechanism that allows the immune system, unlike associative neural networks, to recall and execute a large number of memorized defense strategies {\em in parallel}. The explanation turns out to lie in the network topology. Neurons interact typically with a large number of other neurons, whereas interactions among lymphocytes in immune networks are very specific, and described by graphs with finite connectivity. In this paper we use replica techniques to solve a statistical mechanical immune network model with `coordinator branches' (T-cells) and `effector branches' (B-cells), a…

0301 basic medicineSimilarity (geometry)Spin glassComputer sciencestatistical mechanicFOS: Physical sciencesGeneral Physics and AstronomyNetwork topologyTopology01 natural sciencesQuantitative Biology::Cell Behavior03 medical and health sciencesCell Behavior (q-bio.CB)0103 physical sciencesattractor neural-networks; statistical mechanics; brain networks; Physics and Astronomy (all)Physics - Biological Physics010306 general physicsAssociative propertybrain networkArtificial neural networkMechanism (biology)ErgodicityDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksAcquired immune system030104 developmental biologyBiological Physics (physics.bio-ph)FOS: Biological sciencesattractor neural-networkQuantitative Biology - Cell Behavior
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Ecological network analysis reveals the inter-connection between soil biodiversity and ecosystem function as affected by land use across Europe

2016

Soil organisms are considered drivers of soil ecosystem services (primary productivity, nutrient cycling, carbon cycling, water regulation) associated with sustainable agricultural production. Soil biodiversity was highlighted in the soil thematic strategy as a key component of soil quality. The lack of quantitative standardised data at a large scale has resulted in poor understanding of how soil biodiversity could be incorporated into legislation for the protection of soil quality. In 2011, the EcoFINDERS (FP7) project sampled 76 sites across 11 European countries, covering five biogeographical zones (Alpine, Atlantic, Boreal, Continental and Mediterranean) and three land-uses (arable, gra…

0301 basic medicineSoil biodiversityNitrogenSoil biology[SDV]Life Sciences [q-bio]DIVERSITYSoil ScienceCarbon cycling and storageWiskundige en Statistische Methoden - BiometrisNutrient cyclingARBUSCULAR MYCORRHIZAL FUNGIFOOD WEBS03 medical and health sciencesFOREST SOILCARBON SEQUESTRATIONSoil functionsSoil ecologyQUALITYMICROBIAL COMMUNITIESMathematical and Statistical Methods - BiometrisBodembiologie2. Zero hungerSoil healthEcologyEcologySoil organic matterUSE SYSTEMSPhosphorus04 agricultural and veterinary sciencesSoil carbonSoil Biology15. Life on landPE&RCAgricultural and Biological Sciences (miscellaneous)Soil qualitySoil biodiversityTERRESTRIAL ECOSYSTEMS030104 developmental biologyAgronomyinternational040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceEXTRACELLULAR ENZYME-ACTIVITIESEcosystem functionNetwork analysis
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Stagewise pseudo-value regression for time-varying effects on the cumulative incidence

2015

In a competing risks setting, the cumulative incidence of an event of interest describes the absolute risk for this event as a function of time. For regression analysis, one can either choose to model all competing events by separate cause-specific hazard models or directly model the association between covariates and the cumulative incidence of one of the events. With a suitable link function, direct regression models allow for a straightforward interpretation of covariate effects on the cumulative incidence. In practice, where data can be right-censored, these regression models are implemented using a pseudo-value approach. For a grid of time points, the possibly unobserved binary event s…

0301 basic medicineStatistics and ProbabilityCarcinoma HepatocellularTime FactorsEpidemiologyComputer scienceFeature selectionBiostatistics01 natural sciences010104 statistics & probability03 medical and health sciencesRisk FactorsStatisticsCovariateEconometricsHumansComputer SimulationCumulative incidenceRegistries0101 mathematicsEvent (probability theory)Models StatisticalIncidenceLiver NeoplasmsAbsolute risk reductionRegression analysisRegression030104 developmental biologyRegression AnalysisJackknife resamplingAlgorithmsStatistics in Medicine
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Reference genome assessment from a population scale perspective: an accurate profile of variability and noise.

2017

Abstract Motivation Current plant and animal genomic studies are often based on newly assembled genomes that have not been properly consolidated. In this scenario, misassembled regions can easily lead to false-positive findings. Despite quality control scores are included within genotyping protocols, they are usually employed to evaluate individual sample quality rather than reference sequence reliability. We propose a statistical model that combines quality control scores across samples in order to detect incongruent patterns at every genomic region. Our model is inherently robust since common artifact signals are expected to be shared between independent samples over misassembled regions …

0301 basic medicineStatistics and ProbabilityQuality ControlGenotypeComputer sciencemedia_common.quotation_subjectPopulationGenomicsBioinformaticscomputer.software_genreBiochemistryGenome03 medical and health sciencesGenetic variationAnimalsHumansQuality (business)AlleleeducationMolecular BiologyGenotypingReliability (statistics)media_commonProtocol (science)education.field_of_studyGenomeModels StatisticalGenetic VariationReproducibility of ResultsGenomicsGenome AnalysisOriginal PapersComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsData miningcomputerSoftwareReference genome
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Evaluation of Immunofluorescence Antibody Test Used for the Diagnosis of Canine Leishmaniasis in the Mediterranean Basin: A Systematic Review and Met…

2015

With an expected sensitivity (Se) of 96% and specificity (Sp) of 98%, the immunofluorescence antibody test (IFAT) is frequently used as a reference test to validate new diagnostic methods and estimate the canine leihmaniasis (CanL) true prevalence in the Mediterranean basin. To review the diagnostic accuracy of IFAT to diagnose CanL in this area with reference to its Se and Sp and elucidate the potential causes of their variations, a systematic review was conducted (31 studies for the 26-year period). Three IFAT validation methods stood out: the classical contingency table method, methods based on statistical models and those based on experimental studies. A variation in the IFAT Se and Sp …

0301 basic medicineVeterinary medicinelcsh:MedicineArtificial Gene Amplification and ExtensionPolymerase Chain ReactionMediterranean BasinMathematical and Statistical Techniques0302 clinical medicineZoonosesMedicine and Health SciencesCanine leishmaniasisDog Diseaseslcsh:ScienceLeishmaniasisMammalsMultidisciplinaryGeographymedicine.diagnostic_testMediterranean RegionGeographical regionsRegional geographyResearch AssessmentInfectious DiseasesFluorescent Antibody Technique DirectMeta-analysisVertebratesPhysical Sciencesmedicine.symptomStatistics (Mathematics)Research ArticleNeglected Tropical DiseasesSystematic Reviews030231 tropical medicine030106 microbiologyResearch and Analysis MethodsImmunofluorescenceSensitivity and SpecificityAsymptomatic03 medical and health sciencesDogsparasitic diseasesParasitic DiseasesmedicineAnimalsStatistical MethodsMolecular Biology TechniquesMolecular BiologyProtozoan Infectionsbusiness.industrylcsh:RfungiOrganismsReproducibility of ResultsBiology and Life SciencesLeishmaniasisGold standard (test)Tropical Diseasesmedicine.diseaseEarth sciencesParasitologyAmniotesImmunologyMediterranean BasinParasitologylcsh:QbusinessMathematicsMeta-AnalysisPLOS ONE
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