Search results for "SIMULATION"

showing 10 items of 5095 documents

A Stochastic Approach to Quantum Statistics Distributions: Theoretical Derivation and Monte Carlo Modelling

2009

Abstract. We present a method aimed at a stochastic derivation of the equilibrium distribution of a classical/quantum ideal gas in the framework of the canonical ensemble. The time evolution of these ideal systems is modelled as a series of transitions from one system microstate to another one and thermal equilibrium is reached via a random walk in the single-particle state space. We look at this dynamic process as a Markov chain satisfying the condition of detailed balance and propose a variant of the Monte Carlo Metropolis algorithm able to take into account indistinguishability of identical quantum particles. Simulations performed on different two-dimensional (2D) systems are revealed to…

Statistics and ProbabilityCanonical ensemblePhysicsclassical Monte Carlo simulations quantum Monte Carlo simulations stochastic particle dynamics (theory)Monte Carlo methodStatistical and Nonlinear PhysicsMarkov chain Monte CarloIdeal gasMicrostate (statistical mechanics)symbols.namesakeThermodynamic limitDynamic Monte Carlo methodsymbolsStatistical physicsStatistics Probability and UncertaintyQuantum statistical mechanics
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TiFoSi: an efficient tool for mechanobiology simulations of epithelia

2020

[Motivation]: Emerging phenomena in developmental biology and tissue engineering are the result of feedbacks between gene expression and cell biomechanics. In that context, in silico experiments are a powerful tool to understand fundamental mechanisms and to formulate and test hypotheses.

Statistics and ProbabilityCell signalingCell divisionComputer scienceSystems biologyIn silicoCellBiophysicsMorphogenesisVertex ModelContext (language use)Computational biologyCleavage (embryo)BiochemistryEpitheliumFeedbackMechanobiologyEpithelia Simulation03 medical and health sciencesParacrine signallingMechanobiologyTissue engineeringMorphogenesismedicineComputer SimulationCellular dynamicsMolecular Biology030304 developmental biology0303 health sciencesSystems Biology030302 biochemistry & molecular biologyComputational BiologyCell cycleTissue SimulationJuxtacrine signallingComputer Science ApplicationsComputational Mathematicsmedicine.anatomical_structureComputational Theory and MathematicsDevelopmental biologyCell DivisionSoftwareDevelopmental BiologyBioinformatics
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Morphology changes induced by intercellular gap junction blocking: A reaction-diffusion mechanism.

2021

Complex anatomical form is regulated in part by endogenous physiological communication between cells; however, the dynamics by which gap junctional (GJ) states across tissues regulate morphology are still poorly understood. We employed a biophysical modeling approach combining different signaling molecules (morphogens) to qualitatively describe the anteroposterior and lateral morphology changes in model multicellular systems due to intercellular GJ blockade. The model is based on two assumptions for blocking-induced patterning: (i) the local concentrations of two small antagonistic morphogens diffusing through the GJs along the axial direction, together with that of an independent, uncouple…

Statistics and ProbabilityCell signalingModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyDiffusionMorphogenesisAnimalsBlocking (linguistics)IonsNeurotransmitter AgentsbiologyMechanism (biology)ChemistryApplied MathematicsGap junctionGap JunctionsGeneral MedicinePlanariansbiology.organism_classificationPlanariaMulticellular organismIntercellular JunctionsModeling and SimulationBiophysicsReprogrammingAlgorithmsMorphogenSignal TransductionBio Systems
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Hölder Continuity up to the Boundary of Minimizers for Some Integral Functionals with Degenerate Integrands

2007

We study qualitative properties of minimizers for a class of integral functionals, defined in a weighted space. In particular we obtain Hölder regularity up to the boundary for the minimizers of an integral functional of high order by using an interior local regularity result and a modified Moser method with special test function.

Statistics and ProbabilityClass (set theory)Article Subjectlcsh:MathematicsApplied MathematicsMathematical analysisDegenerate energy levelsBoundary (topology)Hölder conditionlcsh:QA1-939Modeling and SimulationTest functions for optimizationlcsh:QHigh orderlcsh:ScienceWeighted spaceMathematicsJournal of Applied Mathematics and Stochastic Analysis
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Opportunities and challenges of combined effect measures based on prioritized outcomes

2013

Many authors have proposed different approaches to combine multiple endpoints in a univariate outcome measure in the literature. In case of binary or time-to-event variables, composite endpoints, which combine several event types within a single event or time-to-first-event analysis are often used to assess the overall treatment effect. A main drawback of this approach is that the interpretation of the composite effect can be difficult as a negative effect in one component can be masked by a positive effect in another. Recently, some authors proposed more general approaches based on a priority ranking of outcomes, which moreover allow to combine outcome variables of different scale levels. …

Statistics and ProbabilityClinical Trials as TopicEpidemiologyUnivariatecomputer.software_genreOutcome (game theory)Treatment OutcomeRankingScale (social sciences)Component (UML)Outcome Assessment Health CareMultiple comparisons problemHumansComputer SimulationData miningcomputerProportional Hazards ModelsMathematicsStatistical hypothesis testingEvent (probability theory)Statistics in Medicine
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Sparse relative risk regression models

2020

Summary Clinical studies where patients are routinely screened for many genomic features are becoming more routine. In principle, this holds the promise of being able to find genomic signatures for a particular disease. In particular, cancer survival is thought to be closely linked to the genomic constitution of the tumor. Discovering such signatures will be useful in the diagnosis of the patient, may be used for treatment decisions and, perhaps, even the development of new treatments. However, genomic data are typically noisy and high-dimensional, not rarely outstripping the number of patients included in the study. Regularized survival models have been proposed to deal with such scenarios…

Statistics and ProbabilityClustering high-dimensional dataComputer sciencedgLARSInferenceScale (descriptive set theory)BiostatisticsMachine learningcomputer.software_genreRisk Assessment01 natural sciencesRegularization (mathematics)Relative risk regression model010104 statistics & probability03 medical and health sciencesNeoplasmsCovariateHumansComputer Simulation0101 mathematicsOnline Only ArticlesSurvival analysis030304 developmental biology0303 health sciencesModels Statisticalbusiness.industryLeast-angle regressionRegression analysisGeneral MedicineSurvival AnalysisHigh-dimensional dataGene expression dataRegression AnalysisArtificial intelligenceStatistics Probability and UncertaintySettore SECS-S/01 - StatisticabusinessSparsitycomputerBiostatistics
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Stochastic dynamics of leukemic cells under an intermittent targeted therapy

2009

The evolutionary dynamics of cancerous cell populations in a model of Chronic Myeloid Leukemia (CML) is investigated in the presence of an intermittent targeted therapy. Cancer development and progression is modeled by simulating the stochastic evolution of initially healthy cells which can experience genetic mutations and modify their reproductive behavior, becoming leukemic clones. Front line therapy for the treatment of patients affected by CML is based on the administration of tyrosine kinase inhibitors, namely imatinib (Gleevec) or, more recently, dasatinib or nilotinib. Despite the fact that they represent the first example of a successful molecular targeted therapy, the development o…

Statistics and ProbabilityComplex systemsmedicine.medical_treatmentModels BiologicalPiperazinesSettore FIS/03 - Fisica Della MateriaCancer evolutionTargeted therapyLeukemia Myelogenous Chronic BCR-ABL Positivehemic and lymphatic diseasesStochastic dynamics; Cancer evolution; Complex systemsHumansMedicineComputer SimulationStochastic dynamicMolecular Targeted TherapyProtein Kinase InhibitorsEcology Evolution Behavior and SystematicsStochastic Processesbusiness.industryApplied MathematicsMyeloid leukemiaImatinibmedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)DasatinibLeukemiaPyrimidinesImatinib mesylateNilotinibStochastic dynamics Monte Carlo simulationBenzamidesImmunologyCancer cellDisease ProgressionImatinib MesylateCancer researchbusinessmedicine.drug
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Vector coherent states and intertwining operators

2009

In this paper we discuss a general strategy to construct vector coherent states of the Gazeau-Klauder type and we use them to built up examples of isospectral hamiltonians. For that we use a general strategy recently proposed by the author and which extends well known facts on intertwining operators. We also discuss the possibility of constructing non-isospectral hamiltonians with related eigenstates.

Statistics and ProbabilityComputer scienceFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Construct (python library)Intertwining operatorcoherent statesType (model theory)AlgebraIsospectralOperator (computer programming)Modeling and SimulationCoherent statesMathematics::Mathematical PhysicsSettore MAT/07 - Fisica MatematicaEigenvalues and eigenvectorsMathematical Physics
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System size dependence of the autocorrelation time for the Swendsen-Wang Ising model

1990

Abstract We present Monte Carlo simulation results of the autocorrelation time for the Swendsen-Wang method for the simulation of the Ising model. We have calculated the exponential and the integrated autocorrelation time at the critical point T c of the two-dimensional Ising model. Our results indicate that both autocorrelation times depend logarithmically on the linear system size L instead of a power law. The simulations were carried out on the parallel computer of the condensed matter theory group at the University of Mainz.

Statistics and ProbabilityComputer simulationCritical point (thermodynamics)AutocorrelationMonte Carlo methodSquare-lattice Ising modelIsing modelStatistical physicsCondensed Matter PhysicsPower lawMathematicsExponential functionPhysica A: Statistical Mechanics and its Applications
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A multi-local optimization algorithm

1998

The development of efficient algorithms that provide all the local minima of a function is crucial to solve certain subproblems in many optimization methods. A “multi-local” optimization procedure using inexact line searches is presented, and numerical experiments are also reported. An application of the method to a semi-infinite programming procedure is included.

Statistics and ProbabilityContinuous optimizationMathematical optimizationInformation Systems and ManagementMeta-optimizationManagement Science and Operations ResearchSemi-infinite programmingMaxima and minimaVector optimizationModeling and SimulationDiscrete Mathematics and CombinatoricsRandom optimizationMulti-swarm optimizationAlgorithmMetaheuristicMathematicsTop
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