Search results for "Applied Mathematics"

showing 10 items of 4379 documents

IWCFTA2012 Keynote Speech I - Hidden attractors in dynamical systems: From hidden oscillation in Hilbert-Kolmogorov, Aizerman and Kalman problems to …

2012

Summary form only given. In this survey an attempt is made to reflect the current trends in the synthesis of analytical and numerical methods to develop efficient analytical-numerical methods, based on harmonic linearization, applied bifurcation theory and numerical methods, for searching hidden oscillations.

Bifurcation theoryCurrent (mathematics)Dynamical systems theoryControl theoryNumerical analysisAttractorApplied mathematicsKalman filterHidden oscillationMathematicsElectronic circuit2012 Fifth International Workshop on Chaos-fractals Theories and Applications
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Big Data in metagenomics: Apache Spark vs MPI.

2020

The progress of next-generation sequencing has lead to the availability of massive data sets used by a wide range of applications in biology and medicine. This has sparked significant interest in using modern Big Data technologies to process this large amount of information in distributed memory clusters of commodity hardware. Several approaches based on solutions such as Apache Hadoop or Apache Spark, have been proposed. These solutions allow developers to focus on the problem while the need to deal with low level details, such as data distribution schemes or communication patterns among processing nodes, can be ignored. However, performance and scalability are also of high importance when…

Big DataComputer and Information SciencesScienceBig dataMessage Passing InterfaceParallel computingResearch and Analysis MethodsComputing MethodologiesComputing MethodologiesComputer ArchitectureComputer SoftwareDatabase and Informatics MethodsSoftwareSpark (mathematics)GeneticsMammalian GenomicsMultidisciplinarybusiness.industryApplied MathematicsSimulation and ModelingQRBiology and Life SciencesComputational BiologySoftware EngineeringGenomicsDNAGenomic DatabasesGenome AnalysisComputer HardwareSupercomputerBiological DatabasesAnimal GenomicsPhysical SciencesScalabilityEngineering and TechnologyMetagenomeMedicineDistributed memoryMetagenomicsbusinessMathematicsAlgorithmsGenome BacterialSoftwareResearch ArticlePLoS ONE
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FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy

2021

Abstract Background Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for genomic data storage and processing, with MapReduce-Hadoop as leaders. Somewhat surprisingly, none of the specialized FASTA/Q compressors is available within Hadoop. Indeed, their deployment there is not exactly immediate. Such a State of the Art is problematic. Results We provide major advances in two different directions. Methodologically, we propose two general methods, with the corresponding software, that make very easy to deploy …

Big DataFASTQ formatComputer scienceBig data02 engineering and technologycomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistry03 medical and health sciencesSoftwareStructural BiologySpark (mathematics)0202 electrical engineering electronic engineering information engineeringData_FILESMapReduceMapReduce; hadoop; sequence analysis; data compressionMolecular Biologylcsh:QH301-705.5030304 developmental biologyFile system0303 health sciencesSettore INF/01 - InformaticaDatabasebusiness.industryMethodology ArticleApplied MathematicsSequence analysisGenomicsData compression; Hadoop; MapReduce; Sequence analysis; Algorithms; Big Data; Data Compression; Genomics; SoftwareComputer Science Applicationslcsh:Biology (General)Software deploymentHadoopData compressionlcsh:R858-859.7020201 artificial intelligence & image processingState (computer science)businesscomputerAlgorithmsSoftwareData compressionBMC Bioinformatics
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A Derivation of the Vlasov-Stokes System for Aerosol Flows from the Kinetic Theory of Binary Gas Mixtures

2016

In this short paper, we formally derive the thin spray equation for a steady Stokes gas, i.e. the equation consists in a coupling between a kinetic (Vlasov type) equation for the dispersed phase and a (steady) Stokes equation for the gas. Our starting point is a system of Boltzmann equations for a binary gas mixture. The derivation follows the procedure already outlined in [Bernard-Desvillettes-Golse-Ricci, arXiv:1608.00422 [math.AP]] where the evolution of the gas is governed by the Navier-Stokes equation.

Binary numberKinetic energy01 natural sciencesBoltzmann equationPhysics::Fluid Dynamics35Q20 35B25 82C40 76T15 76D07symbols.namesakeMathematics - Analysis of PDEshydrodynamic limitPhase (matter)FOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP][PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]sprays0101 mathematicsSettore MAT/07 - Fisica MatematicaVlasov-Stokes systemPhysicsNumerical Analysisgas mixture.010102 general mathematicsMSC Primary: 35Q20 35B25; Secondary: 82C40 76T15 76D07.Stokes flowBoltzmann equationAerosol010101 applied mathematicsClassical mechanicsModeling and SimulationBoltzmann constantKinetic theory of gasessymbolsVlasov-Stokes system Boltzmann equation Hydrodynamic limit Aerosols Sprays Gas mixtureaerosolsAnalysis of PDEs (math.AP)
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Solving gap metabolites and blocked reactions in genome-scale models: application to the metabolic network of Blattabacterium cuenoti

2013

Abstract Background Metabolic reconstruction is the computational-based process that aims to elucidate the network of metabolites interconnected through reactions catalyzed by activities assigned to one or more genes. Reconstructed models may contain inconsistencies that appear as gap metabolites and blocked reactions. Although automatic methods for solving this problem have been previously developed, there are many situations where manual curation is still needed. Results We introduce a general definition of gap metabolite that allows its detection in a straightforward manner. Moreover, a method for the detection of Unconnected Modules, defined as isolated sets of blocked reactions connect…

BiologiaComputer scienceSystems biologyGenome scaleMetabolic networkGenomicsComputational biologyMicrobiologíaBacterisManual curationModels BiologicalStructural BiologyModelling and SimulationSymbiosisMolecular Biologybusiness.industryBacteroidetesApplied MathematicsBlattabacterium cuenotiGenomicsComputer Science ApplicationsMetabolic ModelModeling and SimulationBiomatemáticasArtificial intelligenceInsectosbusinessMetabolic Networks and PathwaysResearch Article
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A Coclustering Approach for Mining Large Protein-Protein Interaction Networks

2012

Several approaches have been presented in the literature to cluster Protein-Protein Interaction (PPI) networks. They can be grouped in two main categories: those allowing a protein to participate in different clusters and those generating only nonoverlapping clusters. In both cases, a challenging task is to find a suitable compromise between the biological relevance of the results and a comprehensive coverage of the analyzed networks. Indeed, methods returning high accurate results are often able to cover only small parts of the input PPI network, especially when low-characterized networks are considered. We present a coclustering-based technique able to generate both overlapping and nonove…

Biologycomputer.software_genreBioinformatics network analysis co-clusteringTask (project management)Set (abstract data type)Protein Interaction MappingGeneticsCluster (physics)Cluster AnalysisHumansRelevance (information retrieval)Protein Interaction MapsCluster analysisStructure (mathematical logic)Applied MathematicsProteinsprotein-protein interaction networksbiological networksComputingMethodologies_PATTERNRECOGNITIONCover (topology)Co-clusteringData miningcomputerAlgorithmsBiological networkBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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A motif-independent metric for DNA sequence specificity

2011

Abstract Background Genome-wide mapping of protein-DNA interactions has been widely used to investigate biological functions of the genome. An important question is to what extent such interactions are regulated at the DNA sequence level. However, current investigation is hampered by the lack of computational methods for systematic evaluating sequence specificity. Results We present a simple, unbiased quantitative measure for DNA sequence specificity called the Motif Independent Measure (MIM). By analyzing both simulated and real experimental data, we found that the MIM measure can be used to detect sequence specificity independent of presence of transcription factor (TF) binding motifs. We…

Biologylcsh:Computer applications to medicine. Medical informaticsDNA-binding proteinGenomeBiochemistryDNA sequencingCell Line03 medical and health scienceschemistry.chemical_compound0302 clinical medicineStructural BiologyHumansTranscription factorMolecular Biologylcsh:QH301-705.5Sequence Specificity Epigenomics Bioinformatics030304 developmental biologyEpigenomicsGenetics0303 health sciencesBase SequenceSettore INF/01 - InformaticaGenome HumanApplied MathematicsMethodology ArticleDNAComputer Science ApplicationsDNA-Binding Proteinschemistrylcsh:Biology (General)lcsh:R858-859.7Human genomeDNA microarray030217 neurology & neurosurgeryDNAAlgorithmsSoftwareGenome-Wide Association StudyProtein BindingTranscription FactorsBMC Bioinformatics
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Mutual nonlinear prediction of cardiovascular variability series: Comparison between exogenous and autoregressive exogenous models

2007

A model-based approach to perform mutual nonlinear prediction of short cardiovascular variability series is presented. The approach is based on identifying exogenous (X) and autoregressive exogenous (ARX) models by K-nearest neighbors local linear approximation, and estimates the predictability of a series given the other as the squared correlation between original and predicted values of the series. The method was first tested on simulations reproducing different types of interaction between non-identical Henon maps, and then applied to heart rate (HR) and blood pressure (BP) variability series measured in healthy subjects at rest and after head-up tilt. Simulations showed that different c…

Biomedical EngineeringBlood PressureSensitivity and SpecificityCorrelationPosition (vector)Control theoryHeart RateTilt-Table TestApplied mathematicsHumansComputer SimulationDiagnosis Computer-AssistedPredictabilityMathematicsSeries (mathematics)Models CardiovascularReproducibility of ResultsHeartCoupling (probability)Tilt (optics)Autoregressive modelNonlinear DynamicsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRegression AnalysisLinear approximationAlgorithms
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Power-Laws hereditariness of biomimetic ceramics for cranioplasty neurosurgery

2019

Abstract We discuss the hereditary behavior of hydroxyapatite-based composites used for cranioplasty surgery in the context of material isotropy. We classify mixtures of collagen and hydroxiapatite composites as biomimetic ceramic composites with hereditary properties modeled by fractional-order calculus. We assume isotropy of the biomimetic ceramic is assumed and provide thermodynamic of restrictions for the material parameters. We exploit the proposed formulation of the fractional-order isotropic hereditariness further by means of a novel mechanical hierarchy corresponding exactly to the three-dimensional fractional-order constitutive model introduced.

Biomimetic materialsMaterials scienceApplied MathematicsMechanical Engineeringmedicine.medical_treatmentPhysics::Medical PhysicsConstitutive equationIsotropyContext (language use)02 engineering and technology021001 nanoscience & nanotechnologyPower lawCranioplastyBiomimetic materials Cranioplasty Fractional calculus Isotropic hereditariness Power-law hereditariness020303 mechanical engineering & transports0203 mechanical engineeringMechanics of Materialsvisual_artvisual_art.visual_art_mediummedicineCeramicComposite material0210 nano-technologySettore ICAR/08 - Scienza Delle Costruzioni
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A biproportional filter to compare technical and allocation coefficient variations

1997

International audience; In input-output analysis there are two alternate possibilities between Leontief's mechanism (fixed technical coefficients) and Ghosh's mechanism (fixed allocation coefficients). Testing the long term consistency of these mechanisms entails comparing input-output matrices over time. This paper challenges the value of proportional filters (separate comparison of column and row coefficients) and introduces the biproportional filter which allows simultaneous comparison of column and rows. An application is proposed using French input-output tables for 1980 and 1993. The stability of column coefficients cannot be taken for granted and generally, for any sector, both rows …

BiproportionSupply-drivenJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsChangeJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisEnvironmental Science (miscellaneous)DevelopmentRow and column spacesStability (probability)Column (database)Consistency (statistics)Demand-drivenStatisticsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONApplied mathematicsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMathematicsInput/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Models[SHS.ECO]Humanities and Social Sciences/Economics and FinanceTerm (time)Input-OutputFilter (video)RowRAS
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