Search results for " Models"

showing 10 items of 4240 documents

Fatty-acid preference changes during development in Drosophila melanogaster.

2011

WOS:000296521400044; International audience; Fatty-acids (FAs) are required in the diet of many animals throughout their life. However, the mechanisms involved in the perception of and preferences for dietary saturated and unsaturated FAs (SFAs and UFAs, respectively) remain poorly explored, especially in insects. Using the model species Drosophila melanogaster, we measured the responses of wild-type larvae and adults to pure SFAs (14, 16, and 18 carbons) and UFAs (C18 with 1, 2, or 3 double-bonds). Individual and group behavioral tests revealed different preferences in larvae and adults. Larvae preferred UFAs whereas SFAs tended to induce both a strong aversion and a persistent aggregation…

[ SDV.BA.ZI ] Life Sciences [q-bio]/Animal biology/Invertebrate Zoology[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionlcsh:MedicineInsectMESH : Behavior AnimalBiochemistrychemistry.chemical_compoundBehavioral EcologyMESH : Drosophila melanogasterMESH: Behavior AnimalMESH: AnimalsPalatabilitylcsh:ScienceMESH : Fatty Acidsmedia_commonchemistry.chemical_classificationLarvaMultidisciplinaryMESH : Food PreferencesEcologyAnimal BehaviorBehavior AnimalEcologyMESH : Fatty Acids UnsaturatedDrosophila MelanogasterFatty AcidsAge FactorsAnimal ModelsNeuroethologyMESH: Fatty Acids UnsaturatedtrpLipidsPreferenceMESH: Fatty AcidsMESH: Dietary FatsSex pheromoneLarvadietary fatFatty Acids Unsaturatedtaste receptor cellSensory PerceptionDrosophila melanogasterResearch Articlelinoleic acidmedia_common.quotation_subjectLinoleic acidZoologylarvaeBiologyMESH: Drosophila melanogasterFood PreferencesModel OrganismslipidAnimalsMESH: Food PreferencesBiologyMESH: Age FactorsEvolutionary BiologyChemical EcologyMESH : Larvalcsh:RfungiFatty acidbiology.organism_classificationDietary Fatstaste receptor cell;dietary fat;aggregation pheromone;linoleic acid;larvae;lipid;trp;palatability;metabolism;mutation[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoologychemistrypalatabilitylcsh:QMESH : Age FactorsMESH : AnimalsmutationmetabolismMESH: Larva[SDV.AEN]Life Sciences [q-bio]/Food and NutritionMESH : Dietary FatsNeuroscienceaggregation pheromone
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Manipulative parasites may not alter intermediate host distribution but still enhance their transmission: field evidence for increased vulnerability …

2013

SUMMARYBehavioural alterations induced by parasites in their intermediate hosts can spatially structure host populations, possibly resulting in enhanced trophic transmission to definitive hosts. However, such alterations may also increase intermediate host vulnerability to non-host predators. Parasite-induced behavioural alterations may thus vary between parasite species and depend on each parasite definitive host species. We studied the influence of infection with 2 acanthocephalan parasites (Echinorhynchus truttae and Polymorphus minutus) on the distribution of the amphipod Gammarus pulex in the field. Predator presence or absence and predator species, whether suitable definitive host or …

[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyFood ChainZoologyPredationAcanthocephalaHost-Parasite InteractionsEscape Reaction[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisParasite hostingAnimalsAmphipodaEchinorhynchus truttaePredatorTrophic levelPopulation Density[ SDE.BE ] Environmental Sciences/Biodiversity and EcologybiologyBehavior AnimalHost (biology)EcologyIntermediate hostFishesintermediate host manipulationtrophic transmissionbiology.organism_classificationDietGammarus pulexInfectious DiseasesPulexLinear ModelsPolymorphus minutusAnimal Science and ZoologyParasitologyhost distributionHelminthiasis Animal
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Why do we need to replace DSGE models? A critical view on pre-crisis central bank models

2015

Financial Instability and Economic Development in Emerging Markets: Controversies and Critical Issues, Sinapi, C. & Radonjić, C (eds); National audience

[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and Finance[SHS.ECO]Humanities and Social Sciences/Economics and FinanceBank modelsDSGE Models
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Economic models and representation.

2007

[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Financeeconomic models
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Discovering human mobility from mobile data : probabilistic models and learning algorithms

2020

Smartphone usage data can be used to study human indoor and outdoor mobility. In our work, we investigate both aspects in proposing machine learning-based algorithms adapted to the different information sources that can be collected.In terms of outdoor mobility, we use the collected GPS coordinate data to discover the daily mobility patterns of the users. To this end, we propose an automatic clustering algorithm using the Dirichlet process Gaussian mixture model (DPGMM) so as to cluster the daily GPS trajectories. This clustering method is based on estimating probability densities of the trajectories, which alleviate the problems caused by the data noise.By contrast, we utilize the collecte…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Machine LearningDeep LearningDonnées mobiles[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Variational InferenceApprentissage machineMobile DataProbabilistic Models
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Muons in air showers at the Pierre Auger Observatory

2015

We present the first hybrid measurement of the average muon number in air showers at ultrahigh energies, initiated by cosmic rays with zenith angles between 62° and 80°. The measurement is based on 174 hybrid events recorded simultaneously with the surface detector array and the fluorescence detector of the Pierre Auger Observatory. The muon number for each shower is derived by scaling a simulated reference profile of the lateral muon density distribution at the ground until it fits the data. A 1019eV shower with a zenith angle of 67°, which arrives at the surface detector array at an altitude of 1450 m above sea level, contains on average (2.68±0.04±0.48(sys))×107 muons with energies large…

[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Nuclear and High Energy PhysicsPhysics::Instrumentation and DetectorsCosmic-ray interactionsAstronomyAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayextensive atmospherical showers muon density muon number Pierre Auger Observatory cosmic radiation UHEHadronic interaction models7. Clean energyAugerSettore FIS/04 - Fisica Nucleare e SubnucleareNuclear physicsAltitudeSettore FIS/05 - Astronomia e AstrofisicaObservatoryNERGY COSMIC-RAYS DETECTOR MODEL.Extensive air showerscosmic radiation UHEDETECTORScalingCosmic raysZenithHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsPierre Auger ObservatoryMuonNERGY COSMIC-RAYSSettore FIS/01 - Fisica Sperimentaleenergy cosmic-rays; detector; modelAstrophysics::Instrumentation and Methods for AstrophysicsFísica[ PHYS.ASTR.HE ] Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Pierre Auger ObservatoryASTROFÍSICAextensive atmospherical showersmuon numberMODELmuon densityExperimental High Energy PhysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearHigh Energy Physics::ExperimentAstrophysics - High Energy Astrophysical PhenomenaPhysical Review D
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Influence of vessel characteristics and atmospheric processes on the gas and particle phase of ship emission plumes: in situ measurements in the Medi…

2020

A total of 252 emission plumes of ships operating in the Mediterranean Sea and around the Arabian Peninsula were investigated using a comprehensive dataset of gas- and submicron-particle-phase properties measured during the 2-month shipborne AQABA (Air Quality and Climate Change in the Arabian Basin) field campaign in summer 2017. The post-measurement identification of the corresponding ship emission events in the measured data included the determination of the plume sources (up to 38 km away) as well as the plume ages (up to 115 min) and was based on commercially available historical records of the Automatic Identification System. The dispersion lifetime of chemically inert C…

[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Atmospheric Science010504 meteorology & atmospheric sciencesAtmospheric modelsParticle number020209 energy02 engineering and technologyParticulatesCombustionAtmospheric sciences01 natural scienceslcsh:QC1-999PlumeDilutionlcsh:Chemistrylcsh:QD1-99913. Climate action0202 electrical engineering electronic engineering information engineeringParticle14. Life underwaterlcsh:PhysicsNOx0105 earth and related environmental sciences
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Distribution models and environmental changes : Application to echinoid faunas in the Southern Ocean and ecoregionalization

2018

Current environmental changes, which impact marine environments, cover major scientific and societal issues, especially as these environmental changes are expected to accelerate along the 21st century. Understanding and forecasting the response of marine biodiversity to these changes is a pregnant scientific issue. Biogeographic and macroecological approaches provide a scientific framework for that purpose. They allow describing and understanding species distribution patterns at large spatial scale as well as estimating their potential shift with regards to environmental change. This is particularly true in the Southern Ocean, where the effects of climate change are already occurring and wh…

[SDE.BE] Environmental Sciences/Biodiversity and EcologyEchinides[SDE.MCG] Environmental Sciences/Global ChangesModèles de niche écologique[SDV.BA] Life Sciences [q-bio]/Animal biologySpecies distribution modelsDynamic Energy BudgetSouthern OceanOcéan AustralEchinoids[SDV.BID] Life Sciences [q-bio]/Biodiversity
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A partial review of cure models with an application to French cancer registries data to improve patients' access to insurance and credit

2016

International audience; BackgroundSurvival cure models are widely used in public health researches to analyze time-to-event data in which some subjects would never experience the event of interest; these subjects are said to be statistically cured. There are two types of cure models, the mixture cure modeland the non-mixture cure model which were first formulated respectively by Boag(1949)[1] and Yakovlev et al. (1993) [2]. These models have been intensively developed [3,4 among others] and have also been extended to the net survival framework [5-7 for instance].In cancersurvival analysis,net survival is a measure of survival in the hypothetical world wherecancer would bethe only possible c…

[SDV.CAN] Life Sciences [q-bio]/Cancercancer registriesC ure rate modelscancer[SDV.CAN]Life Sciences [q-bio]/Cancernet survival[ SDV.CAN ] Life Sciences [q-bio]/Cancersurvival analysis
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Modéliser la réponse des espèces marines antarctiques aux changements environnementaux. Méthodes, applications et limites.

2021

Among tools that are used to fill knowledge gaps on natural systems, ecological modelling has been widely applied during the last two decades. Ecological models are simple representations of a complex reality. They allow to highlight environmental drivers of species ecological niche and better understand species responses to environmental changes. However, applying models to Southern Ocean benthic organisms raises several methodological challenges. Species presence datasets are often aggregated in time and space nearby research stations or along main sailing routes. Data are often limited in number to correctly describe species occupied space and physiology. Finally, environmental datasets …

[SDV.EE]Life Sciences [q-bio]/Ecology environmentphysiological modelModélisation écologiqueEspèces marines benthiquesmodel performancePhysiological modelsspecies distribution modellingModèles de distribution d’espècesOcéan Australdispersal model[SDV.EE] Life Sciences [q-bio]/Ecology environmentModèles de dispersion lagrangiensSpecies distribution modelsecological modellingLagrangian dispersal modelsSouthern OceanModèles physiologiquesEcological modellingMarine benthic speciesSciences exactes et naturelles
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