Search results for " Cluster"

showing 10 items of 2162 documents

High-resolution spectroscopy and analysis of the V2 + V3 combination band of SF6 in a supersonic jet expansion

2013

International audience; Sulphur hexafluoride is a very strong greenhouse gas whose concentration is increasing in the atmosphere. It is detected through infrared absorption spectroscopy in the strong ν3 fundamental region. Due to the existence of low-lying vibrational states of this molecule, however, many hot bands arise at room temperature and those are still not known. We present here a contribution to the elucidation of this hot band structure, by analysing the ν2 + ν3 combination band. We use a supersonic jet expansion high-resolution spectrum at a rotational temperature of ca. 25 K that was recorded thanks to the Jet-AILES setup at the Source Optimisée de Lumière d'Energie Intermédiai…

010504 meteorology & atmospheric sciencessupersonic jet expansionBiophysicsInfrared spectroscopy7. Clean energy01 natural sciencesHot bandlaw.inventionsymbols.namesake[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]law0103 physical sciencesSupersonic speedPhysical and Theoretical ChemistrySpectroscopy[ PHYS.PHYS.PHYS-ATM-PH ] Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus]Molecular BiologyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]010304 chemical physicssulphur hexafluorideChemistry[PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus]Rotational temperatureRotational–vibrational spectroscopyCondensed Matter PhysicsSynchrotron[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]13. Climate actiongreenhouse gassymbolsinfrared absorption[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Atomic physicsHamiltonian (quantum mechanics)tensorial formalism
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Evaluation of chloroplast genome annotation tools and application to analysis of the evolution of coffee species.

2018

International audience; Chloroplast sequences are widely used for phylogenetic analysis due to their high degree of conservation in plants. Whole chloroplast genomes can now be readily obtained for plant species using new sequencing methods, giving invaluable data for plant evolution However new annotation methods are required for the efficient analysis of this data to deliver high quality phylogenetic analyses. In this study, the two main tools for chloroplast genome annotation were compared. More consistent detection and annotation of genes were produced with GeSeq when compared to the currently used Dogma. This suggests that the annotation of most of the previously annotated chloroplast …

0106 biological sciences0301 basic medicineChloroplastsPlant GenomesPlant SciencePlant Genetics01 natural sciencesGenomeCoffeeDatabase and Informatics MethodsPlant GenomicsPlastidsPhylogenyData Management2. Zero hungerPlant evolutionMultidisciplinarybiologyPhylogenetic treeQRfood and beveragesPhylogenetic AnalysisGenome projectGenomicsPhylogenetics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]MedicineEngineering and Technology[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Cellular Structures and OrganellesCellular TypesSequence AnalysisResearch ArticleBiotechnologyComputer and Information SciencesBioinformaticsSciencePlant Cell BiologyBioengineering[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Coffea canephoraGenes PlantResearch and Analysis Methods010603 evolutionary biology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingEvolution Molecular[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]03 medical and health sciencesPhylogeneticsChloroplast GenomePlant CellsGeneticsEvolutionary SystematicsGenome ChloroplastTaxonomyEvolutionary BiologyCoffea arabicaCoffeafungiBiology and Life SciencesComputational BiologyMolecular Sequence AnnotationSequence Analysis DNACell Biology15. Life on landbiology.organism_classificationGenome Analysis[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationGenome Annotation030104 developmental biologyEvolutionary biology[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Plant BiotechnologySequence AlignmentPloS one
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Hierarchical networks of food exchange in the black garden ant Lasius niger

2020

In most eusocial insects, the division of labour results in relatively few individuals foraging for the entire colony. Thus, the survival of the colony depends on its efficiency in meeting the nutritional needs of all its members. Here, we characterise the network topology of a eusocial insect to understand the role and centrality of each caste in this network during the process of food dissemination. We constructed trophallaxis networks from 34 food-exchange experiments in black garden ants (Lasius niger). We tested the influence of brood and colony size on (i) global indices at the network level (i.e. efficiency, resilience, centralisation and modularity) and (ii) individual values (i.e. …

0106 biological sciences0301 basic medicinesocial network analysisModularity (biology)Foragingself-organisationsocial network analysesEvolution des espèces01 natural sciencesPhysiologie des invertébrésGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesSciences du Vivant [q-bio]/Autre [q-bio.OT]Betweenness centralityBlack garden antAnimalsinsectsSocial Behaviorsocial evolutionEcology Evolution Behavior and Systematicsnetwork evolutionPrincipal Component AnalysisBehavior AnimalbiologyAntsEthologieEcologyLasiusFeeding Behaviorbiology.organism_classificationEusociality010602 entomology030104 developmental biologySpace-Time ClusteringInsect Science[SDE]Environmental SciencesCentralityBiologieAgronomy and Crop ScienceSocial Network AnalysisTrophallaxis
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Fuzzy quantification of common and rare species in ecological communities (FuzzyQ)

2021

International audience; Most species in ecological communities are rare, whereas only a few are common. This distributional paradox has intrigued ecologists for decades but the interpretation of species abundance distributions remains elusive.We present Fuzzy Quantification of Common and Rare Species in Ecological Communities (FuzzyQ) as an R package. FuzzyQ shifts the focus from the prevailing species-categorization approach to develop a quantitative framework that seeks to place each species along a rarity-commonness gradient. Given a community surveyed over a number of sites, quadrats, or any other convenient sampling unit, FuzzyQ uses a fuzzy clustering algorithm that estimates a probab…

0106 biological sciencesAssembly rulesFuzzy clustering[SDV]Life Sciences [q-bio]Rare species010603 evolutionary biology01 natural sciencesFuzzy logic03 medical and health sciencesEnvironmental monitoringrarityEcology Evolution Behavior and Systematics030304 developmental biologyenvironmental monitoring0303 health sciencesCommunitybusiness.industryEcological ModelingEnvironmental resource managementassembly rulescommonness15. Life on landGeographyfuzzy clustering[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessabundance–occupancy distributionscommunity ecology
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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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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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Vibronic Model for Intercommunication of Localized Spins via Itinerant Electron

2019

In this article, we propose a vibronic pseudo Jahn–Teller model for partially delocalized mixed-valence molecules aimed to describe the magnetic coupling between the localized spins mediated by the delocalized electron. The simplest partially delocalized system that retains the main studied features is assumed to consist of a one-electron mixed-valence dimer, which is connected to the two terminal magnetic ions. The model involves the following key interactions: electron transfer in the spin-delocalized subsystem of a mixed-valence molecule, which is mimicked by a dimeric unit, coupling of the itinerant electrons with the molecular vibrations, and isotropic magnetic exchange between the loc…

02 engineering and technologyElectron010402 general chemistry01 natural sciencesMolecular physicsDelocalized electronElectron transferPhysics::Atomic and Molecular ClustersMoleculePhysics::Chemical PhysicsPhysical and Theoretical ChemistryPhysicsSpinsQuàntums Teoria dels021001 nanoscience & nanotechnologyInductive coupling3. Good health0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCoupling (physics)General EnergyMolecular vibrationEnergiaCondensed Matter::Strongly Correlated Electrons0210 nano-technologyFisicoquímicaThe Journal of Physical Chemistry C
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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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Towards a Reference Architecture for Archival Systems: Use Case With Product Data

2014

Long-term preservation of product data is imperative for many organizations. A product data archive should be designed to ensure information accessibility and understanding over time. Approaches, such as the Open Archival Information System Reference Model (OAIS RM) and the Audit and Certification of Trustworthy Digital Repositories (ACTDR), provide a framework for conceptually describing and evaluating archives. These approaches are generic and do not focus on particular contexts or content types such as product data. Moreover, these approaches offer no guidance on how to formally and comprehensively describe archival systems. Such descriptions should include the business activities that a…

0209 industrial biotechnologyComputer scienceEnterprise architecture020101 civil engineering02 engineering and technologyIndustrial and Manufacturing Engineering0201 civil engineeringTerminologyWorld Wide Web[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020901 industrial engineering & automation[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO]Computer Science [cs]Reference architectureArchitectureReference modelComputingMilieux_MISCELLANEOUS[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industryComputer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science ApplicationsOpen Archival Information SystemInformation model[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Department of Defense Architecture Framework[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Software engineeringbusinessSoftwareJournal of Computing and Information Science in Engineering
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Reliable diagnostics using wireless sensor networks

2019

International audience; Monitoring activities in industry may require the use of wireless sensor networks, for instance due to difficult access or hostile environment. But it is well known that this type of networks has various limitations like the amount of disposable energy. Indeed, once a sensor node exhausts its resources, it will be dropped from the network, stopping so to forward information about maybe relevant features towards the sink. This will result in broken links and data loss which impacts the diagnostic accuracy at the sink level. It is therefore important to keep the network's monitoring service as long as possible by preserving the energy held by the nodes. As packet trans…

0209 industrial biotechnologyGeneral Computer ScienceComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologyData loss[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Network topology[SPI.AUTO]Engineering Sciences [physics]/Automatic[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingPrognostics and health management[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringAdaBoostElectroniquebusiness.industryNetwork packetGeneral Engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationWireless sensor networksRandom forest[SPI.TRON]Engineering Sciences [physics]/Electronics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Sensor node020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Gradient boosting[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkComputer networkComputers in Industry
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