Search results for "Entropy"

showing 10 items of 496 documents

The otherness of social work under neoliberal governance

2013

This special issue examines the topic of ‘understanding the Other’ from a very different perspective of ‘Otherness’, which advocates that the own Otherness of social work be reflected on as well. In the contexts of many current societies, social work itself increasingly appears as a strange element – an exceptional idea – as ‘the Other’. Moreover, a question raises over whether social work itself is understandable to those who are outside of it. In this paper, social work is distinguished at three institutional levels: as a science, as a profession and as an ideology or social movement. The paper aims at analysing how social work itself is put into the position of ‘the Other’ in the current…

Social groupta520Social workSocial philosophySocial changeSocial positionEnvironmental ethicsSociologySocial scienceSocial relationSocial movementSocial entropyNordic Social Work Research
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Soft Computing Methods for Personnel Selection Based on the Valuation of Competences

2014

Personnel selection based on candidates' competences is a difficult task due to the imprecise description of the applicants' competences and to the existence of several experts simultaneously evaluating those attributes. In this context, fuzzy sets theory provides suitable tools for the attainment of the maximum possible information from imprecise data. In this work, personnel selection methods are proposed that rely on the definition of an ideal candidate. Aggregated fuzzy valuations of each candidate are obtained taking into account the individual valuations provided by the experts. Then, candidates are ranked based on their similarity with the ideal candidate. Three different scenarios a…

Soft computingbusiness.industryFuzzy setPersonnel selectionSimilarity measureMachine learningcomputer.software_genreFuzzy logicTheoretical Computer ScienceHuman-Computer InteractionArtificial IntelligenceEntropy (information theory)Artificial intelligenceData miningbusinesscomputerWeighted arithmetic meanSoftwareMathematicsValuation (finance)International Journal of Intelligent Systems
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Lysozyme crystallization rates controlled by anomalous fluctuations

2005

Abstract Nucleation of protein aggregates and crystals is a process activated by statistical fluctuations of concentration. Nucleation rates may change by several orders of magnitude upon apparently minor changes in the multidimensional space of parameters (temperature, pH, protein concentration, salt type and concentrations, additives). We use available data on hen egg lysozyme crystal induction times in different solution conditions. We measure by static and dynamic light scattering the amplitudes and lifetimes of anomalously ample and long-lived fluctuations occurring in proximity of the liquid–liquid demixing region of the given lysozyme solutions. This allows determining the related sp…

SpinodalChemistryNucleationThermodynamicsStatistical fluctuationsCondensed Matter PhysicsLight scatteringlaw.inventionInorganic ChemistryOrders of magnitude (entropy)CrystallographyDynamic light scatteringlawMaterials ChemistryCrystallizationProtein crystallization
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Effect of T-R conformational change on sickle-cell hemoglobin interactions and aggregation

2004

We compare the role of a conformational switch and that of a point mutation in the thermodynamic stability of a protein solution and in the consequent propensity toward aggregation. We study sickle-cell hemoglobin (HbS), the beta6 Glu-Val point mutant of adult human hemoglobin (HbA), in its R (CO-liganded) conformation, and compare its aggregation properties to those of both HbS and HbA in their T (unliganded) conformation. Static and dynamic light scattering measurements performed for various hemoglobin concentrations showed critical divergences with mean field exponents as temperature was increased. This allowed determining spinodal data points T(S)(c) by extrapolation. These points were …

SpinodalConformational changeLightProtein ConformationEntropyHemoglobin SickleEnthalpyMolecular ConformationNucleationThermodynamicsProtein aggregationBiochemistryHydrophobic effectDynamic light scatteringStructural BiologySpectroscopy Fourier Transform InfraredHumansPoint MutationScattering RadiationMolecular BiologyCell AggregationCarbon MonoxideChemistryTemperatureProteinsHydrogen-Ion ConcentrationCrystallographyModels ChemicalSpectrophotometryThermodynamicsProtein BindingEntropy (order and disorder)Proteins: Structure, Function, and Bioinformatics
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Phase diagrams calculated for flowing polymer solutions: spinodal and three phase conditions

1998

Spinodal lines and critical points (CPs) are calculated for flowing solutions of polystyrene in trans-decalin. Three types of CPs can be distinguished: The first consists of stable CPs (ordinary critical line) and originates from the CP of the quiescent system. The other two CPs are bound to shear. Additional stable CPs (extraordinary critical line) result for higher polymer concentrations and unstable CPs for intermediate concentrations. Ordinary and unstable critical line merge in a heterogeneous double CP. The coexistence of three phases in the flowing system (eulytic points) comes to an end as two of them merge upon an increase in shear rate at a critical end point.

SpinodalPolymers and PlasticsChemistryThermodynamicsGeneral ChemistryEntropy of mixingCondensed Matter Physicscomplex mixturesCritical point (mathematics)carbohydrates (lipids)Shear ratestomatognathic diseasesstomatognathic systemThree-phaseCritical linePhenomenological modelMaterials ChemistryPhase diagramPolymer Bulletin
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Classical Statistical Mechanics

2003

Some aspects of statistical mechanics that are particularly important for computer simulation approaches are recalled. Using Ising and classical Heisenberg models as examples, various statistical ensembles and appropriate thermodynamic potentials are introduced, and concepts such as Legendre transformations between ensembles and the thermodynamic integration method to obtain the entropy are mentioned. Probability distributions characterizing statistical fluctuations are discussed, fluctuation relations for response functions are derived, and the behavior of these quantities at first and second order phase transitions are described qualitatively. Also the general consequences of phase coexis…

Statistical ensembleEntropy (statistical thermodynamics)Thermodynamic limitStatistical physicsStatistical mechanicsStatistical fluctuationsQuantum statistical mechanicsAnalytical dynamicsThermodynamic potentialMathematics
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Versatile entropic measure of grey level inhomogeneity

2009

The entropic measure for analysis of grey level inhomogeneity (GLI) is proposed as a function of length scale. It allows us to quantify the statistical dissimilarity of the actual macrostate and the maximizing entropy of the reference one. The maximums (minimums) of the measure indicate those scales at which higher (lower) average grey level inhomogeneity appears compared to neighbour scales. Even a deeply hidden statistical grey level periodicity can be detected by the equally distant minimums of the measure. The striking effect of multiple intersecting curves (MIC) of the measure has been revealed for pairs of simulated patterns, which differ in shades of grey or symmetry properties, only…

Statistics and ProbabilityAstronLength scalePhotosphereStatistical Mechanics (cond-mat.stat-mech)StatisticsEntropy (information theory)Grey levelFOS: Physical sciencesStatistical physicsCondensed Matter PhysicsCondensed Matter - Statistical MechanicsMathematics
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Asymptotic optimality of myopic information-based strategies for Bayesian adaptive estimation

2016

This paper presents a general asymptotic theory of sequential Bayesian estimation giving results for the strongest, almost sure convergence. We show that under certain smoothness conditions on the probability model, the greedy information gain maximization algorithm for adaptive Bayesian estimation is asymptotically optimal in the sense that the determinant of the posterior covariance in a certain neighborhood of the true parameter value is asymptotically minimal. Using this result, we also obtain an asymptotic expression for the posterior entropy based on a novel definition of almost sure convergence on "most trials" (meaning that the convergence holds on a fraction of trials that converge…

Statistics and ProbabilityAsymptotic analysisMathematical optimizationPosterior probabilityBayesian probabilityMathematics - Statistics TheoryStatistics Theory (math.ST)050105 experimental psychologydifferential entropyDifferential entropyactive data selection03 medical and health sciences0302 clinical medicineactive learningFOS: Mathematics0501 psychology and cognitive sciencescost of observationdecision theoryMathematicsD-optimalityBayes estimatorSequential estimation05 social sciencesBayesian adaptive estimationAsymptotically optimal algorithmConvergence of random variablesasymptotic optimalitysequential estimation030217 neurology & neurosurgery
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Entropic descriptor of a complex behaviour

2009

We propose a new type of entropic descriptor that is able to quantify the statistical complexity (a measure of complex behaviour) by taking simultaneously into account the average departures of a system's entropy S from both its maximum possible value Smax and its minimum possible value Smin. When these two departures are similar to each other, the statistical complexity is maximal. We apply the new concept to the variability, over a range of length scales, of spatial or grey-level pattern arrangements in simple models. The pertinent results confirm the fact that a highly non-trivial, length-scale dependence of the entropic descriptor makes it an adequate complexity-measure, able to disting…

Statistics and ProbabilityCombinatoricsLength scaleStatistical Mechanics (cond-mat.stat-mech)Information complexityFOS: Physical sciencesEntropy (information theory)Statistical physicsStatistical complexityCondensed Matter PhysicsCondensed Matter - Statistical MechanicsMathematicsPhysica A: Statistical Mechanics and its Applications
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Estimating the decomposition of predictive information in multivariate systems

2015

In the study of complex systems from observed multivariate time series, insight into the evolution of one system may be under investigation, which can be explained by the information storage of the system and the information transfer from other interacting systems. We present a framework for the model-free estimation of information storage and information transfer computed as the terms composing the predictive information about the target of a multivariate dynamical process. The approach tackles the curse of dimensionality employing a nonuniform embedding scheme that selects progressively, among the past components of the multivariate process, only those that contribute most, in terms of co…

Statistics and ProbabilityComputer scienceEntropyTRANSFER ENTROPYStochastic ProcesseInformation Storage and RetrievalheartAPPROXIMATE ENTROPYMaximum entropy spectral estimationInformation theoryGRANGER CAUSALITYJoint entropyNonlinear DynamicMECHANISMSBinary entropy functionTheoreticalHeart RateModelsInformationSLEEP EEGStatisticsOSCILLATIONSTOOLEntropy (information theory)Multivariate AnalysiElectroencephalography; Entropy; Heart Rate; Information Storage and Retrieval; Linear Models; Nonlinear Dynamics; Sleep; Stochastic Processes; Models Theoretical; Multivariate AnalysisConditional entropyStochastic ProcessesHEART-RATE-VARIABILITYCOMPLEXITYConditional mutual informationBrainElectroencephalographyModels TheoreticalScience GeneralCondensed Matter PhysicscardiorespiratoryNonlinear DynamicsPHYSIOLOGICAL TIME-SERIESSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear ModelsLinear ModelTransfer entropySleepAlgorithmStatistical and Nonlinear Physic
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