Search results for " Computer"

showing 10 items of 6910 documents

Coupling agent-based with equation-based models to study spatially explicit megapopulation dynamics

2018

International audience; The incorporation of the spatial heterogeneity of real landscapes into population dynamics remains extremely difficult. We propose combining equation-based modelling (EBM) and agent-based modelling (ABM) to overcome the difficulties classically encountered. ABM facilitates the description of entities that act according to specific rules evolving on various scales. However, a large number of entities may lead to computational difficulties (e.g., for populations of small mammals, such as voles, that can exceed millions of individuals). Here, EBM handles age-structured population growth, and ABM represents the spreading of voles on large scales. Simulations applied to t…

0106 biological sciencesHybrid modellingTheoretical computer scienceComputer sciencePopulation[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]010603 evolutionary biology01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Travelling waveArvicolaPopulation growtheducation[SDV.EE]Life Sciences [q-bio]/Ecology environmenteducation.field_of_studySpatial contextual awareness010604 marine biology & hydrobiologyEcological ModelingDispersal15. Life on land[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSpatial heterogeneityCoupling (computer programming)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Biological dispersalMontane ecology[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][SDE.BE]Environmental Sciences/Biodiversity and EcologyHybrid modelHybrid modelEcological Modelling
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Image analysis methods for assessment of H2O2 production and Plasmopara viticola development in grapevine leaves: application to the evaluation of re…

2013

article i nfo The grapevine downy mildew (Plasmopara viticola) provokes severe damages and destroys the harvest in the absence of an effective protection. Numerous fungicide treatments are thus generally necessary. To promote a sustainable production, alternative strategies of protection including new antifungal molecules, resistant geno- types or elicitor-induced resistance are under trial. To evaluate the relevance of these strategies, resistance tests are required. In this context, three image analysis methods were developed to read the results of tests performed to assessP.viticolasporulation and mycelial development, and H 2 O 2 production in leaves. They have been validated using elic…

0106 biological sciencesMicrobiology (medical)Antifungalmedicine.drug_class[SDV]Life Sciences [q-bio]H2O2Context (language use)01 natural sciencesMicrobiologyImage analysis03 medical and health sciencesPlasmopara viticolamedicinePlant defense against herbivoryImage Processing Computer-Assisted[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVitisimage analysis;Plasmopara viticola;downy mildew;grapevine;H2O2;resistance testsMolecular Biology[ SDV.MP.MYC ] Life Sciences [q-bio]/Microbiology and Parasitology/MycologyAnalysis method[SDV.MP.MYC]Life Sciences [q-bio]/Microbiology and Parasitology/Mycology030304 developmental biologyDisease ResistancePlant Diseases2. Zero hunger0303 health sciencesResistance (ecology)biologyResistance testsReproducibility of Resultsfood and beveragesHydrogen Peroxidebiology.organism_classificationFungicidePlant LeavesHorticultureAgronomyOomycetesPlasmopara viticola[SDE]Environmental SciencesDowny mildewGrapevine010606 plant biology & botanyDowny mildew
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Dynamical model identification of population of oysters for water quality monitoring

2014

International audience; The measurements of valve activity in a population of bivalves under natural environmental conditions (16 oysters in the Bay of Arcachon, France) are used for a physiological model identification. A nonlinear auto-regressive exogenous (NARX) model is designed and tested. The model takes into account the influence of environmental conditions using measurements of the sunlight intensity, the moonlight and tide levels. A possible influence of the internal circadian/circatidal clocks is also analyzed. Through this application, it is demonstrated that the developed dynamical model can be used for estimation of the normal physiological rhythms of permanently immersed oyste…

0106 biological sciencesMoonlight0303 health scienceseducation.field_of_studyNonlinear autoregressive exogenous modelMeteorology010604 marine biology & hydrobiologyPopulationSystem identification01 natural sciencesPhysiological model03 medical and health sciencesEcological monitoringOceanography[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering14. Life underwaterWater qualityeducation[INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringBay030304 developmental biology
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Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests

2021

We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points x affects another set of points y but not vice versa. We use the model to investigate the effect of large trees to the locations of seedlings. In the model, every point in x has a parametric influence kernel or signal, which together form an influence field. Conditionally on the parameters, the influence field acts as a spatial covariate in the intensity of the model, and the intensity itself is a non-linear function of the parameters. Points outside the observation window may affect the influence field inside the window. We propose an edge correction to account for this missing data. The par…

0106 biological sciencesStatistics and ProbabilityFOS: Computer and information sciences62F15 (Primary) 62M30 60G55 (Secondary)MCMCGaussianBayesian inferenceMarkovin ketjutStatistics - Applications010603 evolutionary biology01 natural sciencesCox processMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakeregeneraatio (biologia)Applied mathematicsApplications (stat.AP)0101 mathematicsLaplace approximationStatistics - MethodologyGeneral Environmental ScienceParametric statisticsMathematicsspatial random effectsbayesilainen menetelmäMarkov chain Monte CarloFunction (mathematics)15. Life on landMissing dataMonte Carlo -menetelmätcompetition kernelLaplace's methodKernel (statistics)symbolstree regenerationpuustometsänhoitomatemaattiset mallitStatistics Probability and Uncertainty
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Null models for animal social network analysis and data collected via focal sampling: Pre‐network or node network permutation?

2020

In social networks analysis, two different approaches have predominated in creating null models for hypothesis testing, namely pre‐network and node network permutation approaches. Although the pre‐network permutation approach appears more advantageous, its use has mainly been restricted to data on associations and sampling methods such as ‘group follows’. The pre‐network permutation approach has recently been adapted to data on interactions and the focal sampling method, but its performance in different scenarios has not been thoroughly explored. Here, we assessed the performance of the pre‐network and node network permutation approach in several simulated scenarios based on proneness to fa…

0106 biological sciencesTheoretical computer scienceComputer scienceEcological Modeling05 social sciencesNull (mathematics)Social network analysis (criminology)Sampling (statistics)Group living010603 evolutionary biology01 natural sciences[SHS]Humanities and Social SciencesPermutationSciences du Vivant [q-bio]/Autre [q-bio.OT]0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSVDP::Samfunnsvitenskap: 200::Urbanisme og fysisk planlegging: 230
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Shift in Tuna Catches due to Ocean Warming.

2017

Ocean warming is already affecting global fisheries with an increasing dominance of catches of warmer water species at higher latitudes and lower catches of tropical and subtropical species in the tropics. Tuna distributions are highly conditioned by sea temperature, for this reason and their worldwide distribution, their populations may be a good indicator of the effect of climate change on global fisheries. This study shows the shift of tuna catches in subtropical latitudes on a global scale. From 1965 to 2011, the percentage of tropical tuna in longliner catches exhibited a significantly increasing trend in a study area that included subtropical regions of the Atlantic and western Pacifi…

0106 biological sciencesTime Factors010504 meteorology & atmospheric sciencesEffects of global warming on oceanslcsh:MedicineMarine and Aquatic SciencesOceanographyGlobal Warming01 natural sciencesOceansTropical climateClimate changeZoologíaPesqueríaslcsh:ScienceIndian OceanNorthern HemisphereLatitudeMultidisciplinaryGeographyFishesTemperatureAgricultureOsteichthyesVertebratesResearch ArticleCartographyOceans and SeasFisheriesClimate changeSede Central IEOSubtropicsAnimalsVulnerability of tropical countries to climate change14. Life underwaterOcean TemperatureTropical tuna distribution0105 earth and related environmental sciencesTropical ClimatePacific OceanTuna010604 marine biology & hydrobiologylcsh:RGlobal warmingOrganismsBiology and Life SciencesTropicsNumerical Analysis Computer-AssistedBodies of WaterModels TheoreticalFisherySea surface temperatureEffect on fisheries13. Climate actionEarth SciencesEnvironmental sciencelcsh:QTunaGeographic areas
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Effect of acyl-CoA oxidase activity on the accumulation of gamma-decalactone by the yeast Yarrowia lipolytica: a factorial approach.

2007

International audience; beta-Oxidation is a cyclic pathway involved in the degradation of lipids. In yeast, it occurs in peroxisomes and the first step is catalyzed by an acyl-CoA oxidase (Aoxp). The yeast Yarrowia lipolytica possesses several genes (POX) coding for Aoxps. This study is based on the factorial analysis of results obtained with the many POX derivative strains that have been constructed previously. The effect of interactions between Aoxps on the acyl-CoA oxidase (Aox) activity was important even at the second order. We then investigated the effect of Aox activity on growth and lactone production. Aox activity was correlated with acidification of the medium by cells and with ce…

0106 biological sciencesYarrowia lipolyticaMESH: Enzyme ActivationMetabolic Clearance RateMESH: Factor Analysis StatisticalYarrowiaBiologymodèleModels Biological01 natural sciencesApplied Microbiology and BiotechnologyLactones03 medical and health sciencesEnzyme activatorSpecies SpecificityMESH: Computer Simulation010608 biotechnologyCombinatorial Chemistry TechniquesAcyl-CoA oxidaseMESH: Species SpecificityComputer Simulation030304 developmental biologychemistry.chemical_classificationMESH: Metabolic Clearance Rate0303 health sciencesOxidase testmétabolisme des acides grasAcyl-CoA oxidase activityMESH: Acyl-CoA OxidaseMESH: Models BiologicalYarrowia[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral MedicinePeroxisomebiology.organism_classificationYeastEnzyme ActivationBiochemistrychemistrylactoneMolecular MedicineMESH: Combinatorial Chemistry TechniquesMESH: YarrowiaAcyl-CoA OxidaseFactor Analysis StatisticalLactoneMESH: Lactones
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Satellite survey of seasonal trophic status and occasional anoxic 'malaigue' crises in the Thau lagoon using MERIS images

2011

International audience; The Thau lagoon, located in southern France, suffers episodically from anoxic crises locally known as 'malaigue'. Such crises mostly occur under warm conditions, low winds leading to a strong eutrophication of the lagoon. The development of a sulphur bacterium sometimes gives locally to the waters a 'milky turquoise' appearance and leads to shellfish mortality. One of the indicators of the eutrophication status of the lagoon can be surveyed by the chlorophyll product provided by remote sensing images such as Medium Resolution Imaging Spectrometer (MERIS). In this paper we compare chl2 (or algal2) estimations provided by MERIS level 2 products and the ground measureme…

0106 biological sciences[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing010504 meteorology & atmospheric sciencesEcology[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing010604 marine biology & hydrobiology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesAnoxic waters6. Clean waterMedium resolutionOceanography[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing13. Climate actionGeneral Earth and Planetary SciencesEnvironmental scienceSatellite14. Life underwaterEutrophication[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing0105 earth and related environmental sciencesTrophic level[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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GenExP, un logiciel simulateur de paysages agricoles pour l'étude de la diffusion de transgènes

2007

 ; The software GENEXP allows to simulate 2-dimensional agricultural landscapes by using a traditional algorithmic geometry. Based on real or realistic field-patterns, GENEXP provides multiannual maps of agricultural landscapes, which are used by softwares simulating the dispersal of GM pollen grains and seeds at various scales.; GENEXP est un simulateur de paysages agricoles qui engendre des découpages parcellaires en utilisant une géométrie algorithmique classique. GENEXP fournit, sur la base de parcellaires réels ou réalistes, des cartes pluriannuelles de paysages agricoles utilisables par des logiciels qui simulent la dispersion des pollens et des graines d'OGM à différentes échelles.

0106 biological sciences[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]010603 evolutionary biology01 natural sciencesVORONOÏ TESSELATION[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentAGRICULTURAL LANDSCAPE[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]diagrammes de Voronoi[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]DIAGRAMMES DE VORONOÏpaysage agricole[SDV.EE]Life Sciences [q-bio]/Ecology environmentFIELD PATTERN[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]voronoi tesselationPROCESSUS PONCTUEL MARKOVIEN04 agricultural and veterinary sciencesGeneral Medicineflux de genes15. Life on landsimulationPARCELLAIRE[SDV.EE] Life Sciences [q-bio]/Ecology environmentagricultural landscape field-pattern germs distribution markov point process gene flowpaysage agricole parcellaire simulation diagrammes de Voronoi distribution de germes processus ponctuel markovien flux de genes voronoi tesselation INFORMATIQUEGERMS DISTRIBUTIONINFORMATIQUE040103 agronomy & agricultureMARKOV POINT PROCESS0401 agriculture forestry and fisheriesfield-patterngene flowDISTRIBUTION DE GERMES
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Medium-size droplets of methyl ricinoleate are reduced by cell-surface activity in the gamma-decalactone production by Yarrowia lipolytica.

2000

International audience; Size of methyl ricinoleate droplets during biotransformation into gamma-decalactone by Yarrowia lipolytica was measured in both homogenized and non-homogenized media. In non-homogenized but shaken medium, droplets had an average volume surface diameter d32 of 2.5 microm whereas it was 0.7 microm in homogenized and shaken medium. But as soon as yeast cells were inoculated, both diameters became similar at about 0.7 microm and did not vary significantly until the end of the culture. The growth of Y. lipolytica in both media was very similar except for the lag phase which was lowered in homogenized medium conditions.

0106 biological sciences[SDV.BIO]Life Sciences [q-bio]/BiotechnologyTime FactorsCell01 natural sciencesApplied Microbiology and BiotechnologyLactonesBiotransformationMESH : Particle SizeYeastsMESH: Microscopy Confocal[INFO.INFO-BT]Computer Science [cs]/BiotechnologyComputingMilieux_MISCELLANEOUSBiotransformation0303 health sciencesMicroscopyMicroscopy ConfocalbiologyMESH: YeastsMESH : Lactones[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitologymedicine.anatomical_structureBiochemistryConfocalSURFACE ACTIVERicinoleic Acids[ INFO.INFO-BT ] Computer Science [cs]/BiotechnologyMESH: LactonesMESH : Time Factors03 medical and health sciencesMESH : Biotransformation010608 biotechnologymedicine[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular Biology[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMESH: Particle SizeParticle SizeMESH : Microscopy Confocal[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyMethyl ricinoleateMESH: BiotransformationMESH : YeastsChromatography030306 microbiologyMESH: Time Factors[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyYarrowiabiology.organism_classificationYeastMESH: Ricinoleic AcidsCulture Media[SDV.BIO] Life Sciences [q-bio]/Biotechnology[INFO.INFO-BT] Computer Science [cs]/BiotechnologyMESH : Ricinoleic AcidsMESH: Culture MediaMESH : Culture Media
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