Search results for " Entropy"

showing 10 items of 236 documents

Network Entropy for the Sequence Analysis of Functional Connectivity Graphs of the Brain

2018

Dynamic representation of functional brain networks involved in the sequence analysis of functional connectivity graphs of the brain (FCGB) gains advances in uncovering evolved interaction mechanisms. However, most of the networks, even the event-related ones, are highly heterogeneous due to spurious interactions, which bring challenges to revealing the change patterns of interactive information in the complex dynamic process. In this paper, we propose a network entropy (NE) method to measure connectivity uncertainty of FCGB sequences to alleviate the spurious interaction problem in dynamic network analysis to realize associations with different events during a complex cognitive task. The p…

Dynamic network analysisComputer scienceGeneral Physics and Astronomylcsh:Astrophysicsentropiata3112Measure (mathematics)Articleevent-related analysis050105 experimental psychology03 medical and health sciences0302 clinical medicinelcsh:QB460-4660501 psychology and cognitive sciencesAdjacency matrixdriver fatiguelcsh:ScienceSpurious relationshipRepresentation (mathematics)Event (probability theory)ta113Sequencebrain networkverkkoteoria05 social sciencesnetwork entropy; connectivity; brain network; dynamic network analysis; event-related analysis; driver fatiguelcsh:QC1-999connectivityProbability distributionlcsh:Qdynamic network analysisaivotnetwork entropyAlgorithmlcsh:Physics030217 neurology & neurosurgeryEntropy; Volume 20; Issue 5; Pages: 311
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Entropy

2008

Ecological indicatorDissipative structures; Entropy; Entropy production; Far-from-equilibrium systems; Negentropy; Photosynthesis; Thermodynamics' second lawFar-from-equilibrium systemsEntropyEntropy (information theory)Environmental scienceStatistical physicsPhotosynthesisNegentropyEntropy productionThermodynamics' second lawDissipative structures
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Free Energy, Enthalpy and Entropy from Implicit Solvent End-Point Simulations

2018

Free energy is the key quantity to describe the thermodynamics of biological systems. In this perspective we consider the calculation of free energy, enthalpy and entropy from end-point molecular dynamics simulations. Since the enthalpy may be calculated as the ensemble average over equilibrated simulation snapshots the difficulties related to free energy calculation are ultimately related to the calculation of the entropy of the system and in particular of the solvent entropy. In the last two decades implicit solvent models have been used to circumvent the problem and to take into account solvent entropy implicitly in the solvation terms. More recently outstanding advancement in both impli…

Energy estimationEnthalpyContinuum solvent Enthalpy Entropy Free energy Implicit solvent MM/GBSA Molecular dynamics simulationscontinuum solvent010402 general chemistry01 natural sciencesBiochemistry Genetics and Molecular Biology (miscellaneous)BiochemistryMolecular dynamicsenthalpy0103 physical sciencesMolecular BiosciencesStatistical physicsPhysics::Chemical PhysicsMolecular Biologylcsh:QH301-705.5PhysicsMM/GBSAQuantitative Biology::BiomoleculesEnd point010304 chemical physicsEnsemble averageSolvationimplicit solventmolecular dynamics simulationsfree energy0104 chemical sciencesSolventlcsh:Biology (General)Solvent modelsPerspectiveentropyFrontiers in Molecular Biosciences
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Understanding the Solution Behavior of Epinephrine in the Presence of Toxic Cations: A Thermodynamic Investigation in Different Experimental Conditio…

2020

The interactions of epinephrine ((R)-(&minus

EnthalpyInorganic chemistryPharmaceutical ScienceIonic bondingProtonation02 engineering and technologyCalorimetry010402 general chemistry01 natural sciencesArticleAnalytical Chemistrylcsh:QD241-441chemistry.chemical_compoundlcsh:Organic chemistryDrug Discoverytoxic cationSettore CHIM/01 - Chimica Analiticatoxic cationsepinephrinePhysical and Theoretical ChemistryChemistryOrganic Chemistryenthalpy and entropy changesOxidesMethylmercury Compoundsdependence on ionic strength021001 nanoscience & nanotechnologysequestering ability0104 chemical sciencesSpecific ion interaction theoryChemistry (miscellaneous)Ionic strengthBenzyl alcoholThermodynamicsUraniumMolecular MedicineTitration0210 nano-technologyenthalpy and entropy changeMolecules
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Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling

2017

Gully erosion is identified as an important sediment source in a range of environments and plays a conclusive role in redistribution of eroded soils on a slope. Hence, addressing spatial occurrence pattern of this phenomenon is very important. Different ensemble models and their single counterparts, mostly data mining methods, have been used for gully erosion susceptibility mapping; however, their calibration and validation procedures need to be thoroughly addressed. The current study presents a series of individual and ensemble data mining methods including artificial neural network (ANN), support vector machine (SVM), maximum entropy (ME), ANN-SVM, ANN-ME, and SVM-ME to map gully erosion …

Environmental EngineeringSòls Erosió010504 meteorology & atmospheric sciencesEnsemble forecastingPrinciple of maximum entropy010501 environmental sciencescomputer.software_genre01 natural sciencesPollutionStability (probability)Support vector machineGoodness of fitRobustness (computer science)StatisticsRange (statistics)Environmental ChemistryData miningWaste Management and Disposalcomputer0105 earth and related environmental sciencesMathematicsStatistical hypothesis testingScience of The Total Environment
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Fractional generalized cumulative entropy and its dynamic version

2021

Following the theory of information measures based on the cumulative distribution function, we propose the fractional generalized cumulative entropy, and its dynamic version. These entropies are particularly suitable to deal with distributions satisfying the proportional reversed hazard model. We study the connection with fractional integrals, and some bounds and comparisons based on stochastic orderings, that allow to show that the proposed measure is actually a variability measure. The investigation also involves various notions of reliability theory, since the considered dynamic measure is a suitable extension of the mean inactivity time. We also introduce the empirical generalized fract…

FOS: Computer and information sciencesExponential distributionComputer Science - Information TheoryMathematics - Statistics TheoryStatistics Theory (math.ST)01 natural sciencesMeasure (mathematics)010305 fluids & plasmas0103 physical sciencesFOS: MathematicsApplied mathematicsAlmost surelyCumulative entropy; Fractional calculus; Stochastic orderings; EstimationEntropy (energy dispersal)010306 general physicsStochastic orderingsMathematicsCentral limit theoremNumerical AnalysisInformation Theory (cs.IT)Applied MathematicsCumulative distribution functionProbability (math.PR)Fractional calculusEmpirical measureFractional calculusModeling and SimulationEstimationCumulative entropyMathematics - ProbabilityCommunications in Nonlinear Science and Numerical Simulation
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Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes

2017

Exploiting the theory of state space models, we derive the exact expressions of the information transfer, as well as redundant and synergistic transfer, for coupled Gaussian processes observed at multiple temporal scales. All of the terms, constituting the frameworks known as interaction information decomposition and partial information decomposition, can thus be analytically obtained for different time scales from the parameters of the VAR model that fits the processes. We report the application of the proposed methodology firstly to benchmark Gaussian systems, showing that this class of systems may generate patterns of information decomposition characterized by prevalently redundant or sy…

FOS: Computer and information sciencesInformation transferComputer scienceGaussianSocial SciencesGeneral Physics and AstronomyInformation theory01 natural sciences010305 fluids & plasmasState spaceStatistical physicslcsh:Scienceinformation theorymultiscale entropylcsh:QC1-999Interaction informationMathematics and Statisticssymbolsinformation dynamicsInformation dynamics; Information transfer; Multiscale entropy; Multivariate time series analysis; Redundancy and synergy; State space models; Vector autoregressive models; Physics and Astronomy (all)information dynamics; information transfer; multiscale entropy; multivariate time series analysis; redundancy and synergy; state space models; vector autoregressive modelsMultivariate time series analysiMathematics - Statistics Theorylcsh:AstrophysicsStatistics Theory (math.ST)Statistics - ApplicationsMethodology (stat.ME)symbols.namesakePhysics and Astronomy (all)0103 physical scienceslcsh:QB460-466FOS: Mathematicsinformation transferRelevance (information retrieval)Applications (stat.AP)Transfer Entropy010306 general physicsGaussian processStatistics - MethodologyState space modelstate space modelsmultivariate time series analysisredundancy and synergyvector autoregressive modelsInformation dynamicVector autoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaTransfer entropylcsh:Qlcsh:PhysicsEntropy
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Local Granger causality

2021

Granger causality is a statistical notion of causal influence based on prediction via vector autoregression. For Gaussian variables it is equivalent to transfer entropy, an information-theoretic measure of time-directed information transfer between jointly dependent processes. We exploit such equivalence and calculate exactly the 'local Granger causality', i.e. the profile of the information transfer at each discrete time point in Gaussian processes; in this frame Granger causality is the average of its local version. Our approach offers a robust and computationally fast method to follow the information transfer along the time history of linear stochastic processes, as well as of nonlinear …

FOS: Computer and information sciencesInformation transferGaussianFOS: Physical sciencestechniques; information theory; granger causalityMachine Learning (stat.ML)Quantitative Biology - Quantitative Methods01 natural sciences010305 fluids & plasmasVector autoregressionsymbols.namesakegranger causalityGranger causalityStatistics - Machine Learning0103 physical sciencesApplied mathematicstime serie010306 general physicsQuantitative Methods (q-bio.QM)Mathematicsinformation theoryStochastic processDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)Discrete time and continuous timeAutoregressive modelFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticasymbolsTransfer entropytechniquesPhysics - Computational Physics
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Multiscale partial information decomposition of dynamic processes with short and long-range correlations: theory and application to cardiovascular co…

2022

Abstract Objective. In this work, an analytical framework for the multiscale analysis of multivariate Gaussian processes is presented, whereby the computation of Partial Information Decomposition measures is achieved accounting for the simultaneous presence of short-term dynamics and long-range correlations. Approach. We consider physiological time series mapping the activity of the cardiac, vascular and respiratory systems in the field of Network Physiology. In this context, the multiscale representation of transfer entropy within the network of interactions among Systolic arterial pressure (S), respiration (R) and heart period (H), as well as the decomposition into unique, redundant and s…

FOS: Computer and information sciencesmultivariate time seriesPhysiologyEntropyRespirationBiomedical EngineeringBiophysicsheart rate variabilitytransfer entropyredundancy and synergyBlood PressureHeartQuantitative Biology - Quantitative MethodsCardiovascular SystemMethodology (stat.ME)Heart RatePhysiology (medical)FOS: Biological sciencesCardiovascular controlSettore ING-INF/06 - Bioingegneria Elettronica E Informaticavector autoregressive fractionally integrated (VARFI) modelsHumansQuantitative Methods (q-bio.QM)Statistics - MethodologyPhysiological measurement
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Characterization of postural control impairment in women with fibromyalgia

2018

[EN] The main goal of this cross-sectional study was to detect whether women with fibromyalgia syndrome (FMS) have altered postural control and to study the sensory contribution to postural control. We also explored the possibility that self-induced anxiety and lower limb strength may be related to postural control. For this purpose, 129 women within an age range of 40 to 70 years were enrolled. Eighty of the enrolled women had FMS. Postural control variables, such as Ellipse, Root mean square (RMS) and Sample entropy (SampEn), in both directions (i.e. mediolateral and anteroposterior), were calculated under five different conditions. A force plate was used to register the center of pressur…

FibromyalgiaCross-sectional studyEntropyEmotionslcsh:MedicineSocial SciencesIsometric exerciseAnxietyPostural control0302 clinical medicineFibromyalgiaMedicine and Health SciencesMedicinePsychologylcsh:ScienceMusculoskeletal SystemPostural BalanceMultidisciplinaryPhysicsNeuromuscular DiseasesMiddle AgedFoamBiomechanical PhenomenaFibromyalgia syndromeNeurologyLower ExtremityEllipsesPhysical SciencesSensation DisordersAnxietyThermodynamicsSensory PerceptionFemalemedicine.symptomAnatomyResearch ArticleAdultmedicine.medical_specialtyMaterials by StructureCognitive NeuroscienceMaterials ScienceGeometryPelvis03 medical and health sciencesMotor ReactionsPhysical medicine and rehabilitationSensory CuesRheumatologyHumansMuscle StrengthAged030203 arthritis & rheumatologyHipbusiness.industrylcsh:RBiology and Life Sciencesmedicine.diseaseSample entropyPostural ControlCross-Sectional StudiesCase-Control StudiesLean body massCognitive Sciencelcsh:Qbusiness030217 neurology & neurosurgeryMathematicsNeuroscience
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