Search results for "cluster [track data analysis]"

showing 10 items of 1171 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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Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea)

2021

This work presents a computational methodology able to automatically classify the echoes of two krill species recorded in the Ross sea employing scientific echo-sounder at three different frequencies (38, 120 and 200 kHz). The goal of classifying the gregarious species represents a time-consuming task and is accomplished by using differences and/or thresholds estimated on the energy features of the insonified targets. Conversely, our methodology takes into account energy, morphological and depth features of echo data, acquired at different frequencies. Internal validation indices of clustering were used to verify the ability of the clustering in recognizing the correct number of species. Th…

0106 biological sciencesKrillbiologybusiness.industry010604 marine biology & hydrobiologyEuphausiaSettore MAT/01 - Logica MatematicaEuphausia crystallorophiasbiology.organism_classificationSpatial distributionMachine learning for pelagic species classification01 natural sciencesKrill identification010104 statistics & probabilityRoss SeaAcoustic dataArtificial intelligence0101 mathematicsCluster analysisbusinessRelative species abundanceGeologyEnergy (signal processing)Global biodiversityRemote sensing
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Reverse-engineering the Arabidopsis thaliana transcriptional network under changing environmental conditions

2009

46 pages, 4 tables, 6 figures, 3 additinoal files.

0106 biological sciencesMESH: Genome PlantArabidopsis thalianaGene regulatory networkArabidopsis01 natural sciencesTranscriptomeGene Expression Regulation PlantArabidopsisMESH: Gene Expression Regulation DevelopmentalCluster AnalysisGene Regulatory NetworksMESH: ArabidopsisMESH: EcosystemMESH: Models GeneticOligonucleotide Array Sequence AnalysisMESH: Gene Regulatory NetworksGenetics0303 health sciencesMESH: Stress MechanicalbiologyMESH: Genomicsfood and beveragesGene Expression Regulation DevelopmentalGenomicsPhenotypeAlgorithmsGenome PlantMESH: MutationSystems biologyGenomicsMESH: AlgorithmsComputational biologyMESH: Arabidopsis ProteinsMESH: Phenotype03 medical and health sciencesMESH: Gene Expression Profiling[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMESH: Gene Expression Regulation PlantEcosystem030304 developmental biologyModels GeneticMicroarray analysis techniquesArabidopsis ProteinsGene Expression ProfilingResearchfungiRobustness (evolution)biology.organism_classificationMESH: Cluster AnalysisGene expression profilingMutationMESH: Oligonucleotide Array Sequence AnalysisStress Mechanical010606 plant biology & botany
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Why ruminating ungulates chew sloppily: Biomechanics discern a phylogenetic pattern.

2019

Altres ajuts: "Beatriu de Pinos" 2014 - BP-A 00048 There is considerable debate regarding whether mandibular morphology in ungulates primarily reflects phylogenetic affinities or adaptation to specific diet. In an effort to help resolve this debate, we use three-dimensional finite element analysis (FEA) to assess the biomechanical performance of mandibles in eleven ungulate taxa with well-established but distinct dietary preferences. We found notable differences in the magnitude and the distribution of von Mises stress between Artiodactyla and Perissodactyla, with the latter displaying lower overall stress values. Additionally, within the order Artiodactyla the suborders Ruminantia and Tylo…

0106 biological sciencesMaleModels AnatomicUngulateScienceFinite Element AnalysisZoologyRhinocerosMandible010603 evolutionary biology01 natural sciencesbiomechanicsRuminantiaBite ForceEvolution Molecular03 medical and health sciencesImaging Three-DimensionalSpecies SpecificityAnimalsCluster AnalysisRuminatingFEAPerissodactylaPhylogeny030304 developmental biologyArtiodactylafunctional morphology0303 health sciencesMultidisciplinarybiologyQRReproducibility of ResultsRuminantsbiology.organism_classificationTylopodaBiomechanical PhenomenaDietBite force quotientPhylogenetic PatternMedicineMasticationFemaleAdaptationPloS one
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Phylogenetic evidence for hybrid origins of asexual lineages in an aphid species

2003

International audience; Understanding the mode of origin of asexuality is central to ongoing debates concerning the evolution and maintenance of sexual reproduction in eukaryotes. This is because it has profound consequences for patterns of genetic diversity and ecological adaptability of asexual lineages, hence on the outcome of competition with sexual relatives both in short and longer terms. Among the possible routes to asexuality, hybridization is a very common mechanism in animals and plants. Aphids present frequent transitions from their ancestral reproductive mode (cyclical parthenogenesis) to permanent asexuality, but the mode of origin of asexual lineages is generally not known bec…

0106 biological sciencesMitochondrial DNAHeterozygoteEvolution of sexual reproduction[SDV]Life Sciences [q-bio]Parthenogenesis010603 evolutionary biology01 natural sciencesAsexualityRhopalosiphum padiEvolution Molecular03 medical and health sciencesReproduction AsexualGeneticsAnimalsCluster AnalysisAllele sequence divergenceHybridizationPhylogenyPolymorphism Single-Stranded ConformationalEcology Evolution Behavior and Systematics030304 developmental biologyGeneticsAphidLikelihood Functions0303 health sciencesbiologyPhylogenetic treeModels GeneticParthenogenesisSequence Analysis DNAbiology.organism_classificationNuclear DNASexual reproductionEvolution of sexAphids[SDE]Environmental SciencesHybridization GeneticGeneral Agricultural and Biological SciencesMicrosatellite Repeats
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Gene flow and population admixture as the primary post-invasion processes in common ragweed (Ambrosia artemisiifolia) populations in France

2010

*An improved inference of the evolutionary history of invasive species may be achieved by analyzing the genetic variation and population differentiation of recently established populations and their ancestral (historical) populations. Employing this approach, we investigated the role of gene flow in the post-invasion evolution of common ragweed (Ambrosia artemisiifolia). *Using eight microsatellite loci, we compared genetic diversity and structure among nine pairs of historical and recent populations in France. Historical populations were reconstructed from herbarium specimens dated from the late 19th to early 20th century, whereas recent populations were collected within the last 5 yr. *Re…

0106 biological sciencesPhysiologyHISTORICAL POPULATIONSPopulation DynamicsPopulationPopulation geneticsPlant ScienceBiology010603 evolutionary biology01 natural sciencesGene flow03 medical and health sciencesHERBARIUM SPECIMENGenetic variationGENE FLOWCluster AnalysiseducationPhylogenyAmbrosia artemisiifoliaPOPULATION HISTORIQUE030304 developmental biologyPrincipal Component Analysis0303 health scienceseducation.field_of_studyGenetic diversityGeographyEcologyGenetic Variation[ SDV.BV.PEP ] Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacyBayes TheoremGene Pool15. Life on landbiology.organism_classificationINVASIVE SPECIESESPECES ENVAHISSANTES[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacyAMBROSIA ARTEMISIIFOLIA(COMMON RAGWEED)Genetic distanceEvolutionary biologyPOPULATION ADMIXTUREFranceGene poolAmbrosiaPOST-INVASION PROCESS
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Molecular Phylogeny of Tintinnid Ciliates (Tintinnida, Ciliophora)

2012

We investigated the phylogeny of tintinnids (Ciliophora, Tintinnida) with 62 new SSU-rDNA sequences from single cells of 32 marine and freshwater species in 20 genera, including the first SSU-rDNA sequences for Amphorides, Climacocylis, Codonaria, Cyttarocylis, Parundella, Petalotricha, Undella and Xystonella, and 23 ITS sequences of 17 species in 15 genera. SSU-rDNA phylogenies suggested a basal position for Eutintinnus, distant to other Tintinnidae. We propose Eutintinnidae fam. nov. for this divergent genus, keeping the family Tintinnidae for Amphorellopsis, Amphorides and Steenstrupiella. Tintinnopsis species branched in at least two separate groups and, unexpectedly, Climacocylis branc…

0106 biological sciencesSequence analysisMolecular Sequence DataZoologyBiology010603 evolutionary biology01 natural sciencesMicrobiologyDNA Ribosomal03 medical and health sciencesPhylogeneticsGenusDNA Ribosomal SpacerRNA Ribosomal 18SCluster Analysis14. Life underwaterCiliophoraCladeSensu strictoPhylogeny[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography030304 developmental biology0303 health sciencesEcologyWaterGenes rRNASequence Analysis DNARibosomal RNADNA Protozoanbiology.organism_classificationMolecular phylogeneticsRNA ProtozoanTintinnid
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Colonisation and diversification of the Zenaida dove (Zenaida aurita) in the Antilles: phylogeography, contemporary gene flow and morphological diver…

2013

12 pages; International audience; Caribbean avifaunal biogeography has been mainly studied based on mitochondrial DNA. Here, we investigated both past and recent island differentiation and micro-evolutionary changes in the Zenaida Dove (Zenaida aurita) based on combined information from one mitochondrial (Cytochrome c Oxydase subunit I, COI) and 13 microsatellite markers and four morphological characters. This Caribbean endemic and abundant species has a large distribution, and two subspecies are supposed to occur: Z. a. zenaida in the Greater Antilles (GA) and Z. a. aurita in the Lesser Antilles (LA). Doves were sampled on two GA islands (Puerto Rico and the British Virgin Islands) and six…

0106 biological sciencesZenaida auritaGene FlowBiogeographyPopulation DynamicsZoologyPopulation geneticslcsh:MedicineSubspecies[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy010603 evolutionary biology01 natural sciencesDNA MitochondrialElectron Transport Complex IV03 medical and health sciencesAnimalsCluster Analysis14. Life underwaterlcsh:ScienceColumbidae030304 developmental biologyIsolation by distanceIslands0303 health sciencesAnalysis of Variance[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyMultidisciplinarybiologyBase SequenceEcologylcsh:RBody WeightGenetic VariationBiodiversitybiology.organism_classificationColonisationPhylogeographyPhylogeographyCaribbean RegionHaplotypeslcsh:QAnimal Migration[SDE.BE]Environmental Sciences/Biodiversity and EcologyMartinique[ SDV.BID.SPT ] Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomyResearch ArticleMicrosatellite Repeats
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Finite Mixture Model-based classification of a complex vegetation system

2020

Aim: To propose a Finite Mixture Model (FMM) as an additional approach for classifying large datasets of georeferenced vegetation plots from complex vegetation systems. Study area: The Italian peninsula including the two main islands (Sicily and Sardinia), but excluding the Alps and the Po plain. Methods: We used a database of 5,593 georeferenced plots and 1,586 vascular species of forest vegetation, created in TURBOVEG by storing published and unpublished phytosociological plots collected over the last 30 years. The plots were classified according to species composition and environmental variables using a FMM. Classification results were compared with those obtained by TWINSPAN algorithm. …

0106 biological sciencesforest vegetationSoil scienceMixture model010603 evolutionary biology01 natural sciencescluster analysis finite mixture model forest vegetation Italian peninsula vegetation plotsEnvironmental sciencesvegetation plotscluster analysis finite mixture model forest vegetation Italian peninsula vegetation plotscluster analysis; finite mixture model; forest vegetation; Italian peninsula; vegetation plotsmedicineGE1-350finite mixture modelmedicine.symptomVegetation (pathology)Italian peninsulacluster analysis010606 plant biology & botanyMathematicsVegetation Classification and Survey
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Online Scheduling of Task Graphs on Hybrid Platforms

2018

Modern computing platforms commonly include accelerators. We target the problem of scheduling applications modeled as task graphs on hybrid platforms made of two types of resources, such as CPUs and GPUs. We consider that task graphs are uncovered dynamically, and that the scheduler has information only on the available tasks, i.e., tasks whose predecessors have all been completed. Each task can be processed by either a CPU or a GPU, and the corresponding processing times are known. Our study extends a previous \(4\sqrt{m/k}\)-competitive online algorithm [2], where m is the number of CPUs and k the number of GPUs (\(m\ge k\)). We prove that no online algorithm can have a competitive ratio …

020203 distributed computingCompetitive analysisonline algorithmsComputer scienceHeuristicSchedulingSymmetric multiprocessor system02 engineering and technologyParallel computingUpper and lower boundsheterogeneous computingGraph020202 computer hardware & architectureScheduling (computing)task graphs0202 electrical engineering electronic engineering information engineeringOnline algorithm[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]
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