Search results for "Modeling"

showing 10 items of 4489 documents

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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A new compact formulation for the discrete p-dispersion problem

2017

Abstract This paper addresses the discrete p -dispersion problem (PDP) which is about selecting  p facilities from a given set of candidates in such a way that the minimum distance between selected facilities is maximized. We propose a new compact formulation for this problem. In addition, we discuss two simple enhancements of the new formulation: Simple bounds on the optimal distance can be exploited to reduce the size and to increase the tightness of the model at a relatively low cost of additional computation time. Moreover, the new formulation can be further strengthened by adding valid inequalities. We present a computational study carried out over a set of large-scale test instances i…

Binary search algorithmMathematical optimization021103 operations researchInformation Systems and ManagementLine searchGeneral Computer Science0211 other engineering and technologies0102 computer and information sciences02 engineering and technologyManagement Science and Operations ResearchSolver01 natural sciencesIndustrial and Manufacturing EngineeringFacility location problemSet (abstract data type)010201 computation theory & mathematicsModeling and SimulationProgramming paradigmInteger programmingAlgorithmStandard model (cryptography)MathematicsEuropean Journal of Operational Research
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Multiscale modeling on biological systems

2018

Biochemistry & Molecular Biology010304 chemical physicsComputer scienceManagement scienceBiophysicsMEDLINE02 engineering and technologyCell BiologyModels TheoreticalMedical Biochemistry and MetabolomicsMOLECULAR BIOLOGY METHODS01 natural sciencesBiochemistryMultiscale modelingMedicinal and Biomolecular ChemistryTheoreticalModels0103 physical sciences0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBiochemistry and Cell BiologyMolecular BiologyIntroductory Journal ArticleBiochemical and Biophysical Research Communications
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PET: Theoretical Background and Practical Aspects

2012

Positron emission tomography (PET) is a nuclear medicine imaging tool utilized for investigation of physiological processes in vivo. PET uses the decay characteristics of positron-emitting radionuclides which are produced in a cyclotron and then used to label compounds involved in physiological processes. Usually, the labeled compound—the tracer—is administered intravenously and distributed in the tissue. The radionuclide decays and the emitted photons are detected by the PET scanner. PET then offers the possibility to compute three-dimensional images of the biodistribution and kinetics of the regional radioactivity concentration. There are several options to analyze reconstructed PET image…

BiodistributionRadioactive tracermedicine.diagnostic_testComputer sciencePharmacokinetic modelingCerebral metabolic rateContext (language use)law.inventionlawPositron emission tomographyPet scannerNuclear medicine imagingmedicineBiomedical engineering
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HR3DHG version 1: modeling the spatiotemporal dynamics of mercury in the Augusta Bay (southern Italy)

2020

The biogeochemical dynamics of Hg, and specifically of its three species Hg0, HgII, and MeHg (elemental, inorganic, and organic, respectively), in the marine coastal area of Augusta Bay (southern Italy) have been explored by the high-resolution 3D Hg (HR3DHG) model, namely an advection–diffusion–reaction model for dissolved mercury in the seawater compartment coupled with a diffusion–reaction model for dissolved mercury in the pore water of sediments in which the desorption process for the sediment total mercury is taken into account. The spatiotemporal variability of the mercury concentration in both seawater ([HgD]) and the first layers of bottom sediments ([HgDsed] and [HgTsed]), as well…

Biogeochemical cycleBiogeochemical Cycleslcsh:QE1-996.5Sedimentchemistry.chemical_element3d modelHgSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Mercury (element)lcsh:GeologyPore water pressurechemistryTotal hgEnvironmental chemistryspatiotemporal dynamics environmental modeling pollutantsEnvironmental scienceSeawaterNumerical ModelingBay
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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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Enchytraeid population dynamics: Resource limitation and size-dependent mortality

2009

Abstract Enchytraeids are regarded as keystone soil organisms in forest ecosystems. Their abundance and biomass fluctuate widely. Predicting the consequences of anthropogenic disturbances requires an understanding of the mechanisms underlying enchytraeid population dynamics. Here I develop a simple model, which predicts that the type of dynamics is controlled by resource input rate. If fungal resource input is a discrete event once a year, an exponential growth phase is followed by starvation and sharp decline of enchytraeid abundance. Model simulations with three different forcing functions were compared to field data. Initial parameter values were obtained from various independent sources…

Biomass (ecology)education.field_of_studyEcologyEcological ModelingPopulationSimulation modelingBiologyAtmospheric sciencesStability (probability)Residual sum of squaresExponential growthAbundance (ecology)Forest ecologyeducationEcological Modelling
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Topoisomerase II regulates yeast genes with singular chromatin architectures

2013

Eukaryotic topoisomerase II (topo II) is the essential decatenase of newly replicated chromosomes and the main relaxase of nucleosomal DNA. Apart from these general tasks, topo II participates in more specialized functions. In mammals, topo IIa interacts with specific RNA polymerases and chromatin-remodeling complexes, whereas topo IIb regulates developmental genes in conjunction with chromatin remodeling and heterochromatin transitions. Here we show that in budding yeast, topo II regulates the expression of specific gene subsets. To uncover this, we carried out a genomic transcription run-on shortly after the thermal inactivation of topo II. We identified a modest number of genes not invol…

BioquímicaHeterochromatinADNSaccharomyces cerevisiaeGene Regulation Chromatin and EpigeneticsGenètica molecularChromatin remodelingHistonesCromatina03 medical and health sciencesGene Expression Regulation FungalGeneticsNucleosomeDNA FungalPromoter Regions GeneticTranscription factor030304 developmental biologyGenetics0303 health sciencesbiologyPolyamine transport030302 biochemistry & molecular biologyPromoterExpressió gènicaChromatinChromatinNucleosomesHistoneDNA Topoisomerases Type IIMutationbiology.proteinGenèticaTranscription FactorsNucleic Acids Research
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Bicausative matrices to measure structural change: Are they a good tool?

1999

The causative-matrix method to analyze temporal change assumes that a matrix transforms one Markovian transition matrix into another by a left multiplication of the first matrix; the method is demand-driven when applied to input-output economics. An extension is presented without assuming the demand-driven or supply-driven hypothesis. Starting from two flow matrices X and Y, two diagonal matrices are searched, one premultiplying and the second postmultiplying X, to obtain a result the closer as possible to Y by least squares. The paper proves that the method is deceptive because the diagonal matrices are unidentified and the interpretation of results is unclear. Keywords : Input-Output ; Ch…

BiproportionBicausativePure mathematicsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelsjel:C63jel:C67JEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisLeast squaresMeasure (mathematics)Interpretation (model theory)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingSylvester's law of inertiaMatrix (mathematics)Diagonal matrixStatisticsJEL : 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 FinanceGeneral Environmental ScienceMathematicsJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelseconomic theoryhumanities social sciencessciences humaines et socialesStochastic matrixStructural ChangeGeneral Social Scienceseconomics[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:D57CausativeJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingChaosMultiplicationThe Annals of Regional Science
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Forecast Output Coincidence and Biproportion: Two Criteria to Determine the Orientation of an Economy. Comparison for France (1980-1997)

2002

International audience; The method of forecast output coincidence used to determine if sectors are demand-sided or supply-sided in an input-output framework mixes two effects, the structural effect (choosing between demand and supply side models) and the effect of an exogenous factor (final demand or added-value). The note recalls that another method is possible, the comparison of the stability of technical and allocation coefficients, generalized by the biproportional filter: if for a sector, after biproportional filtering, column coefficients are more stable than row coefficients, then this sector is declared as not supply-sided (but one cannot decide that it is demand-sided anyway), and …

BiproportionEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsSupplyChangeJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisStability (probability)Column (database)CoincidenceSupply and demandMicroeconomicsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingEconometricsEconomicsDemandJEL : 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 FinanceInput/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsOrientation (computer vision)Exogenous factorFilter (signal processing)[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingInput-OutputRAS
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