Search results for "HBO"

showing 10 items of 311 documents

Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range co…

2017

Entropy measures are widely applied to quantify the complexity of dynamical systems in diverse fields. However, the practical application of entropy methods is challenging, due to the variety of entropy measures and estimators and the complexity of real-world time series, including nonstationarities and long-range correlations (LRC). We conduct a systematic study on the performance, bias, and limitations of three basic measures (entropy, conditional entropy, information storage) and three traditionally used estimators (linear, kernel, nearest neighbor). We investigate the dependence of entropy measures on estimator- and process-specific parameters, and we show the effects of three types of …

Conditional entropyStatistics and ProbabilityDynamical systems theoryComputer scienceEstimatorCondensed Matter Physics01 natural sciencesArticlek-nearest neighbors algorithm03 medical and health sciencesComplex dynamics0302 clinical medicineAutoregressive modelLocal variance0103 physical sciencesStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPreprocessorStatistical physics010306 general physics030217 neurology & neurosurgeryStatistical and Nonlinear PhysicPhysical review. E
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Entropy-Based Detection of Complexity and Nonlinearity in Short-Term Heart Period Variability under different Physiopathological States

2020

We compare different estimators of a popular en-tropy-based nonlinear dynamic measure, i.e. the conditional entropy (CE), as regards their ability to assess the complexity and nonlinearity of short-term heart rate variability (HRV). The CE is computed using binning, kernel and nearest neighbor entropy estimators in HRV time series measured from young, old and post-myocardial infarction patients studied at rest and during orthostatic stress. We find that the three estimators yield similar patterns of CE, but different patterns of nonlinear dynamics, across groups and conditions. These results suggest that the strategy for CE estimation is not crucial for the quantification of complexity, but…

Conditional entropynearest neighborHeart period variabilityEstimatork-nearest neighbors algorithmConditional entropy (CE)Nonlinear systemStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEntropy (information theory)Heart rate variabilitynonlinear analysis methodTime seriescomplexityheart rate variability (HRV)Mathematics
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Sea breeze thunderstorms in the eastern Iberian Peninsula. Neighborhood verification of HIRLAM and HARMONIE precipitation forecasts

2014

In this study we investigated sea breeze thunderstorms with intense convective activity (i.e., heavy rainfall, hail and gusty winds) that occurred over the eastern Iberian Peninsula (Spain) and were missed by the operational HIRLAM model. We used two grid-spacing setups (5.0. km and 2.5. km) of the hydrostatic HIRLAM model, and the non-hydrostatic spectral HARMONIE suite (2.5. km), to simulate isolated convection associated with sea breezes. The overall aim is to estimate the ability of these three experimental setups, in particular the HARMONIE model as the forthcoming operational numerical weather prediction in most European Weather Services, to correctly simulate convective precipitation…

ConvectionAtmospheric Science010504 meteorology & atmospheric sciencesNowcastingMeteorology0207 environmental engineering02 engineering and technologySea breeze thunderstorm01 natural sciencesOperational forecastingSea breezePrecipitation020701 environmental engineering0105 earth and related environmental sciencesRain gaugeNumerical weather predictionHIRLAMHARMONIE13. Climate actionClimatologyThunderstormEnvironmental scienceNeighborhood verificationHIRLAMIberian PeninsulaAtmospheric Research
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Experiments with an adaptive Bayesian restoration method

1989

Abstract This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose detector response function is not completely known. The response function is assumed Gaussian with standard deviation depending on the estimate of the local density of the image. The convex hull of the K -nearest neighbours ( K NN) of each ‘on’ pixel is used to compute the local density. The method has been tested on ‘sparse’ images, with and without noise background.

Convex hullGaussianImage processingStandard deviationsymbols.namesakeArtificial IntelligenceBayesian restorationElectrical and Electronic EngineeringImage restorationK-nearest-neighbours algorithmMathematics1707PixelSettore INF/01 - Informaticabusiness.industryPattern recognitionsparse imageFunction (mathematics)Signal ProcessingsymbolsComputer Vision and Pattern RecognitionArtificial intelligenceDeconvolutionbusinessconvex hullSoftware
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‪Les commissions de quartier à l’épreuve de l’intelligence du social‪

2016

The notion of intelligence of social relationships enables to explore the communicative approach of participatory democracy. Citizen life is no longer only restricted to putting a ballot into a ballot box but is getting towards true cooperation between the various actors of public communication.

Cooperation[SHS.INFO]Humanities and Social Sciences/Library and information sciencesCommissions de quartierParticipatory democracyDémocratie participative[ SHS.INFO ] Humanities and Social Sciences/Library and information sciencesNeighborhood councilsIntelligence of social relationshipsIntelligence du social[SHS.INFO] Humanities and Social Sciences/Library and information sciences
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Instructor Presence in a Virtual Classroom

2021

Abstract Synchronous online learning platforms have been used actively during the COVID-19 period. They have opened possibilities for online learning and interaction, but have also posed new challenges for instructors. This article provides insights into one teacher’s interactions and examines how the instructor presence is expressed in the teachers’ activities in virtual classrooms in higher education. Instructor presence is investigated using the social and teaching presence indicators of the community of inquiry (CoI) framework. Twelve hours of interactions across six online classes were recorded, transcribed, and analysed using content analysis. The findings suggest that indicators of t…

Coronavirus disease 2019 (COVID-19)Higher educationmedia_common.quotation_subjectDashboard (business)050801 communication & media studiesluokkatyöskentelyCommunity of inquirysosiaalinen vuorovaikutusvirtual classroomEducation0508 media and communicationsGratitudeComputingMilieux_COMPUTERSANDEDUCATIONDevelopmental and Educational PsychologyMathematics educationverkko-opetusläsnäoloinstructor presenceVirtual classroommedia_commonsynchronous interactionbusiness.industryOnline learning05 social sciences050301 educationsocial presencevirtuaaliympäristöopettajatLContent analysisPsychologybusiness0503 educationSocial Sciences (miscellaneous)teaching presenceOpen Education Studies
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A finite size scaling study of the five-dimensional Ising model

1994

For systems above the marginal dimension d*, where mean field theory starts to become valid, such as Ising models in d = 5 for which d* = 4, hyperscaling is invalid and hence it was suggested that finite size scaling is not ruled by the correlation length ξ (∝ |t| −1/2 in Landau theory, t being the distance from the critical point) but by a “thermodynamic length” l (∝ |t| −2/d). Early simulation work by Binder et al. using nearest neighbor hypercubic L5 lattices with L ⩽ 7 yielded some evidence for this prediction, but the renormalized coupling constant gL = −3 + 〈M4〉/〈M2〉2 at Tc was gL ≈ −1.0 instead of the prediction of Brezin and Zinn-Justin, gL(Tc) = −3 + Γ4(1/4)/(8 π2) ≈ −0.812. In the…

Coupling constantPhysicsMean field theoryCondensed matter physicsCritical point (thermodynamics)General Physics and AstronomyIsing modelCoupling (probability)ScalingLandau theoryk-nearest neighbors algorithmAnnalen der Physik
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Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning

2017

The purpose of this work is to learn specific distance functions to be applied for multi-target regression problems using nearest neighbors. The idea of preserving the order relation between input and output vectors considering their corresponding distances is used along a maximal margin criterion to formulate a specific metric learning problem. Extensive experiments and the corresponding discussion try to put forward the advantages of the proposed algorithm that can be considered as a generalization of previously proposed approaches. Preliminary results suggest that this line of work can lead to very competitive algorithms with convenient properties.

Cover treeComputer scienceNearest neighbor search0211 other engineering and technologies02 engineering and technologyk-nearest neighbors algorithmBest bin firstMargin (machine learning)Nearest-neighbor chain algorithmMetric (mathematics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAlgorithmLarge margin nearest neighbor021101 geological & geomatics engineering
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Crisis, convivencia multicultural y "efectos de barrio". El caso de dos barrios de Valencia

2015

La inserción urbana de los inmigrantes se desestabiliza y se pone a prueba con la crisis y las políticas aplicadas. Si bien en Valencia se mantiene una convivencia tranquila, la situación de los servicios públicos aumenta la competencia por recursos escasos entre vecinos de diferentes orígenes. Este texto presenta, en el marco de la ciudad de Valencia, un análisis comparativo de dos barrios receptores de inmigrantes que presentan fuertes contrastes. Por un lado, Russafa un barrio céntrico popular y en proceso de gentrification; por otro, Els Orriols, un barrio periférico obrero. Aún con muchos rasgos comunes, la intensidad del recelo hacia el inmigrante varía de un barrio a otro en función …

Cultural StudiesMULTICULTURAL COEXISTENCEmedia_common.quotation_subjectImmigrationlcsh:Colonies and colonization. Emigration and immigration. International migrationContext (language use)//purl.org/becyt/ford/5.4 [https]Competition (economics)ScarcityCIENCIAS SOCIALESNEIGHBOURHOOD EFFECTSPolitical scienceVALENCIANeighbourhood (mathematics)CRISISDemographymedia_common//purl.org/becyt/ford/5 [https]DowntownWelfare economicsSocial environmentconvivencia multicultural efecto de lugar crisis Valencia.GentrificationTópicos Socialeslcsh:JV1-9480CartographySociología
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El proyecto europeo y la ciudadanía para los inmigrantes

2005

The European Constitutional Treaty which is going to be ratified these days offers a concept of European citizenship which disappoints the expectations to find a way for an integration of the resident immigrants or for any kind of political accommodation. In the light of the European framework and of the doctrinal debate, the proposal of a model of inclusive, plural and gradual citizenship will be examined, a citizenship which starts off with the notion of neighbourhood based on the continuous residence, followed by an analysis of the objections of those criticizing these proposals as a process of domestication.

Cultural StudiescitizenshipSociology and Political Sciencemedia_common.quotation_subjectImmigrationlcsh:AresidenciainmigraciónGeneral WorksresidencePoliticsASociologyTreatyUECitizenshipNeighbourhood (mathematics)media_commonPluralciudadaníaGeneral Arts and HumanitiesLawResidencelcsh:General WorksEUHumanitiesimmigrationArbor: Ciencia, Pensamiento y Cultura
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