Search results for "modeling"

showing 10 items of 4489 documents

On Discovering Low Order Models in Biochemical Reaction Kinetics

2007

We develop a method by which a large number of differential equations representing biochemical reaction kinetics may be represented by a smaller number of differential equations. The basis of our technique is a conjecture that the high dimension equations of biochemical kinetics, which involve reaction terms of specific forms, are actually implementing a low dimension system whose behavior requires right hand sides that can not be biochemically implemented. For systems that satisfy this conjecture, we develop a simple approximation scheme based on multilinear algebra that extracts the low dimensional system from simulations of the high dimension system. We demonstrate this technique on a st…

Multilinear algebraNonlinear systemBasis (linear algebra)Dimension (vector space)Settore ING-INF/04 - AutomaticaSimple (abstract algebra)Differential equationMathematical analysisChaoticApplied mathematicsDimensional modelingKinetic theory Nonlinear equations Polynomials Differential equationsMathematics
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Intellectual Ability Data Obtaining and Processing for E-Learning System Adaptation

2012

In this article authors describe how an e-learning system can obtain data about learner, so that later it could offer individual content for each learner, based on the obtained data. Authors also describe how the Learning Management System (LMS) Moodle has adapted a standard quiz module interface for testing elementary school students and how students’ individual abilities could be measured more efficiently, for example, by measuring mathematical reaction time. For obtaining necessary testing results and partial processing a new module (TAnalizer) is offered, which is adapted to the Moodle environment. With this module one can gain precise data about each student’s testing process and stude…

MultimediaProcess (engineering)Computer scienceInterface (computing)User modelingE-learning (theory)ComputingMilieux_COMPUTERSANDEDUCATIONLearning Managementcomputer.software_genreAdaptation (computer science)computerPersonalizationTest (assessment)
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What Can International Finance Add to International Strategy?

2011

This chapter focuses on the role of corporate financial strategies to improve firms’ market valuations, and thus lower their cost of capital. The identification of successful strategies is accomplished within an overall strategic framework and related to how the firm perceives the degree of international financial integration. Five strategies for how to break out of a segmented, thin domestic capital market are highlighted together with historical success cases. The chapter illustrates the linkages between business strategy, firm motivation, and various financial strategies. JEL: F21, F23, F36, G32, G34.

Multinationales UnternehmenEconomic capitalFinancial ratiojel:F21International businessStrategisches ManagementInternationale Finanzierungjel:F23Corporate financeFinancial capitalddc:330G32G34Industrial organizationInternational financeFinanceFinancial strategyF36business.industryGlobal competitivenessFinancial integrationKapitalkostenCost of capitaljel:G34Financial strategyjel:F36jel:G32Identification (information)Cost of capitalFinancial strategy; Corporate strategy; Global competitiveness; Cost of capitalF21Financial modelingCorporate strategyInternationaler WettbewerbStrategic managementF23BusinessCapital market
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Demyelination patterns in a mathematical model of multiple sclerosis.

2016

In this paper we derive a reaction-diffusion-chemotaxis model for the dynamics of multiple sclerosis. We focus on the early inflammatory phase of the disease characterized by activated local microglia, with the recruitment of a systemically activated immune response, and by oligodendrocyte apoptosis. The model consists of three equations describing the evolution of macrophages, cytokine and apoptotic oligodendrocytes. The main driving mechanism is the chemotactic motion of macrophages in response to a chemical gradient provided by the cytokines. Our model generalizes the system proposed by Calvez and Khonsari (Math Comput Model 47(7–8):726–742, 2008) and Khonsari and Calvez (PLos ONE 2(1):e…

Multiple Sclerosismedicine.medical_treatmentInflammationApoptosisBiology01 natural sciencesModels BiologicalConcentric ring03 medical and health sciences0302 clinical medicineTuring instabilitymedicineHumansMultiple sclerosi0101 mathematicsSettore MAT/07 - Fisica MatematicaInflammationMicrogliaOligodendrocyte apoptosisPatternMultiple sclerosisTuring instabilityApplied MathematicsChemotaxismedicine.diseaseAgricultural and Biological Sciences (miscellaneous)Magnetic Resonance Imaging010101 applied mathematicsChemotaxis PDE modelCytokinemedicine.anatomical_structureModeling and SimulationImmunologymedicine.symptomNeuroscience030217 neurology & neurosurgeryDemyelinating DiseasesJournal of mathematical biology
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CH of masonry materials via meshless meso-modeling

2014

In the present study a multi-scale computational strategy for the analysis of masonry structures is presented. The structural macroscopic behaviour is obtained making use of the Computational Homogenization (CH) technique based on the solution of the boundary value problem (BVP) of a detailed Unit Cell (UC) chosen at the meso-scale and representative of the heterogeneous material. The smallest UC is composed by a brick and half of its surrounding joints, the former assumed to behave elastically while the latter considered with an elastoplastic softening response. The governing equations at the macroscopic level are formulated in the framework of finite element method while the Meshless Meth…

MultiscaleMesoscopic physicsbusiness.industryMechanical Engineeringlcsh:Mechanical engineering and machineryMathematical analysislcsh:TA630-695Structural engineeringlcsh:Structural engineering (General)MasonryMultiscale; Mesomodeling; Meshless; Masonry.Homogenization (chemistry)Finite element methodMeshleMechanics of MaterialsMesomodelingTangent stiffness matrixlcsh:TJ1-1570Boundary value problembusinessMasonrySettore ICAR/08 - Scienza Delle CostruzioniSofteningMathematicsFrattura ed Integrità Strutturale
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Poisson convergence on continuous time branching random walks and multistage carcinogenesis.

1982

A theorem for Poisson convergence on realizations of two-dimensional Branching Random Walks with an underlying continuous time Markov Branching Process is proved. This result can be used to gain an approximation for the number of cells having sustained a certain deficiency after a long time in multistage carcinogenesis.

Multistage carcinogenesisTime FactorsMarkov chainApplied MathematicsPoisson distributionRandom walkAgricultural and Biological Sciences (miscellaneous)Models BiologicalCombinatoricsBranching (linguistics)symbols.namesakeCell Transformation NeoplasticBranching random walkModeling and SimulationNeoplasmsConvergence (routing)symbolsApplied mathematicsAnimalsHumansMathematicsMathematicsBranching processJournal of mathematical biology
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Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator.

2019

Methods based on the use of multivariate autoregressive models (MVAR) have proved to be an accurate tool for the estimation of functional links between the activity originated in different brain regions. A well-established method for the parameters estimation is the Ordinary Least Square (OLS) approach, followed by an assessment procedure that can be performed by means of Asymptotic Statistic (AS). However, the performances of both procedures are strongly influenced by the number of data samples available, thus limiting the conditions in which brain connectivity can be estimated. The aim of this paper is to introduce and test a regression method based on Least Absolute Shrinkage and Selecti…

Multivariate statisticsComputer science0206 medical engineering02 engineering and technologyConnectivity measurementsLeast squares03 medical and health sciences0302 clinical medicineLasso (statistics)Statistics::MethodologyLeast-Squares AnalysisStatisticShrinkagebusiness.industryBrainPattern recognitionElectroencephalography020601 biomedical engineeringCausalityData pointAutoregressive modelCausality; Connectivity measurements; Physiological systems modeling - Multivariate signal processingPhysiological systems modeling - Multivariate signal processingOrdinary least squaresLeast-Squares Analysis Brain ElectroencephalographyArtificial intelligencebusiness030217 neurology & neurosurgeryAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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MuTE: a MATLAB toolbox to compare established and novel estimators of the multivariate transfer entropy.

2014

A challenge for physiologists and neuroscientists is to map information transfer between components of the systems that they study at different scales, in order to derive important knowledge on structure and function from the analysis of the recorded dynamics. The components of physiological networks often interact in a nonlinear way and through mechanisms which are in general not completely known. It is then safer that the method of choice for analyzing these interactions does not rely on any model or assumption on the nature of the data and their interactions. Transfer entropy has emerged as a powerful tool to quantify directed dynamical interactions. In this paper we compare different ap…

Multivariate statisticsInformation transferTheoretical computer scienceComputer scienceEntropyInformation TheorySocial SciencesCAUSALITYMedicine (all); Biochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)BioinformaticsMedicine and Health SciencesEntropy (energy dispersal)MultidisciplinaryEntropy (statistical thermodynamics)Medicine (all)QSoftware DevelopmentREstimatorSoftware EngineeringElectroencephalographyCausalityNeurologyCardiovascular DiseasesProbability distributionMedicineAlgorithmsResearch ArticleComputer ModelingComputer and Information SciencesScienceCardiologyProbability density functionEntropy (classical thermodynamics)Artificial IntelligenceLinear regressionEntropy (information theory)HumansComputer SimulationEntropy (arrow of time)Conditional entropyBiochemistry Genetics and Molecular Biology (all)EpilepsyBiology and Life SciencesModels TheoreticalMODELNonlinear systemAgricultural and Biological Sciences (all)ROC CurveINFORMATION-TRANSFERSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCognitive ScienceTransfer entropySoftwareEntropy (order and disorder)NeurosciencePLoS ONE
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Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis

2011

This tutorial paper introduces a common framework for the evaluation of widely used frequency-domain measures of coupling (coherence, partial coherence) and causality (directed coherence, partial directed coherence) from the parametric representation of linear multivariate (MV) processes. After providing a comprehensive time-domain definition of the various forms of connectivity observed in MV processes, we particularize them to MV autoregressive (MVAR) processes and derive the corresponding frequency-domain measures. Then, we discuss the theoretical interpretation of these MVAR-based connectivity measures, showing that each of them reflects a specific time-domain connectivity definition an…

Multivariate statisticsInformation transferTime FactorsArticle SubjectImmunology and Microbiology (all)Computer scienceBiostatisticslcsh:Computer applications to medicine. Medical informaticsGeneral Biochemistry Genetics and Molecular BiologyCausality (physics)HumansRepresentation (mathematics)Parametric statisticsBiochemistry Genetics and Molecular Biology (all)General Immunology and MicrobiologyMedicine (all)Applied MathematicsMedicine (all); Modeling and Simulation; Immunology and Microbiology (all); Biochemistry Genetics and Molecular Biology (all); Applied MathematicsElectroencephalographySignal Processing Computer-AssistedGeneral MedicineCoherence (statistics)Nonlinear DynamicsAutoregressive modelModeling and SimulationFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear Modelslcsh:R858-859.7AlgorithmResearch ArticleComputational and Mathematical Methods in Medicine
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A discrete mathematical model for addictive buying: Predicting the affected population evolution

2011

This paper deals with the construction of a discrete mathematical model for addictive buying. Firstly, identifications of consumers buying behavior are performed by using multivariate statistical techniques based on real data bases and sociological approaches. Then the population is divided into appropriate groups according to the level of overbuying and a discrete compartmental model is constructed. The future short term addicted population is computed assuming several future economic scenarios. © 2010 Elsevier Ltd.

Multivariate statisticsMultivariate analysismedia_common.quotation_subjectPopulationMultivariant analysisAddictive buyingPopulation evolutionModelling and SimulationShort termEconometricsBuying behavioreducationmedia_commonDiscrete mathematical modeleducation.field_of_studyMathematical modelsMathematical modelAddictionModelingPopulation evolutionMultivariate statisticsCompartmental modelComputer Science ApplicationsTerm (time)Modeling and SimulationMultivariate statistical techniquesMultivariate statisticalMATEMATICA APLICADACompulsive buying
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