Search results for "LIST"

showing 10 items of 4869 documents

Evaluación de los factores de riesgo, comportamientos y accidentalidad vial de los usuarios vulnerables: el caso de los ciclistas = Assessment of the…

2018

Aunque los accidentes de tráfico constituyen desde hace décadas un serio problema de salud pública, la alta vulnerabilidad de grupos de usuarios específicos -entre ellos los ciclistas- ha dado lugar a una especial preocupación a nivel social, político y científico a lo largo del último lustro. Además, la evidencia reciente sugiere que durante los próximos años la utilización de la bicicleta como medio transporte urbano aumentará sustancialmente, lo que dará lugar también a un incremento de las lesiones y muertes entre los usuarios de este sistema de movilidad. En este contexto, uno de los factores con mayor peso explicativo de la siniestralidad vial es el comportamiento de los usuarios; sin…

Comportamientos de riesgo:PSICOLOGÍA [UNESCO]UNESCO::PSICOLOGÍARiesgo vialCiclistasCompendioAccidentes de tráficoUsuarios viales vulnerables
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New super-orthogonal space-time trellis codes using differential M-PSK for noncoherent mobile communication systems with two transmit antennas

2010

Published version of an article in the journal: Annals of Telecommunications-Annales Des Telecommunications. Also available from the publisher at: http://dx.doi.org/10.1007/s12243-010-0191-1 In this paper, we develop super-orthogonal space-time trellis codes (SOSTTCs) using differential binary phase-shift keying, quadriphase-shift keying and eight-phase shift keying for noncoherent communication systems with two transmit antennas without channel state information at the receiver. Based on a differential encoding scheme proposed by Tarokh and Jafarkhani, we propose a new decoding algorithm with reduced decoding complexity. To evaluate the performance of the SOSTTCs by way of computer simulat…

Computational complexity theoryComputer scienceList decodingKeyingVDP::Technology: 500::Information and communication technology: 550Sequential decodingData_CODINGANDINFORMATIONTHEORYChannel state informationElectronic engineeringElectrical and Electronic Engineeringdifferential detection noncoherent communications super-orthogonal space-time trellies codesAlgorithmDifferential codingDecoding methodsComputer Science::Information TheoryPhase-shift keying
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Progressive effect of beta amyloid peptides accumulation on CA1 pyramidal neurons: a model study suggesting possible treatments

2012

Several independent studies show that accumulation of β-amyloid (Aβ) peptides, one of the characteristic hallmark of Alzheimer's Disease (AD), can affect normal neuronal activity in different ways. However, in spite of intense experimental work to explain the possible underlying mechanisms of action, a comprehensive and congruent understanding is still lacking. Part of the problem might be the opposite ways in which Aβ have been experimentally found to affect the normal activity of a neuron; for example, making a neuron more excitable (by reducing the A- or DR-type K(+) currents) or less excitable (by reducing synaptic transmission and Na(+) current). The overall picture is therefore confus…

Computational modelion channels modulationAmyloidMechanism (biology)Model studyNeuroscience (miscellaneous)A?-peptideNeurotransmissionBiologyAlzheimer's diseaselcsh:RC321-571Cellular and Molecular Neurosciencemedicine.anatomical_structureAβ-peptidehippocampal neuronmedicinePremovement neuronal activityrealistic modelNeuronOriginal Research ArticleBeta (finance)Neurosciencelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscience
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Values of games with probabilistic graphs

1999

Abstract In this paper we consider games with probabilistic graphs. The model we develop is an extension of the model of games with communication restrictions by Myerson (1977) . In the Myerson model each pair of players is joined by a link in the graph if and only if these two players can communicate directly. The current paper considers a more general setting in which each pair of players has some probability of direct communication. The value is defined and characterized in this context. It is a natural extension of the Myerson value and it turns out to be the Shapley value of a modified game.

Computer Science::Computer Science and Game TheorySociology and Political ScienceIf and only ifComputingMilieux_PERSONALCOMPUTINGProbabilistic logicGeneral Social SciencesStatistics Probability and UncertaintyDirect communicationShapley valueMathematical economicsGeneral PsychologyGraphMathematics
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REPEATED GAMES WITH PROBABILISTIC HORIZON

2005

Repeated games with probabilistic horizon are defined as those games where players have a common probability structure over the length of the game's repetition, T. In particular, for each t, they assign a probability pt to the event that "the game ends in period t". In this framework we analyze Generalized Prisoners' Dilemma games in both finite stage and differentiable stage games. Our construction shows that it is possible to reach cooperative equilibria under some conditions on the distribution of the discrete random variable T even if the expected length of the game is finite. More precisely, we completely characterize the existence of sub-game perfect cooperative equilibria in finite s…

Computer Science::Computer Science and Game TheorySociology and Political ScienceSequential gameProbabilistic logicComputingMilieux_PERSONALCOMPUTINGGeneral Social SciencesPrisoner's dilemmaConvergence (routing)Repeated gameApplied mathematicsrepeated games probabilistic horizon cooperationDifferentiable functionStatistics Probability and UncertaintyMathematical economicsRandom variableGeneral PsychologyMathematicsEvent (probability theory)
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Memory limited inductive inference machines

1992

The traditional model of learning in the limit is restricted so as to allow the learning machines only a fixed, finite amount of memory to store input and other data. A class of recursive functions is presented that cannot be learned deterministically by any such machine, but can be learned by a memory limited probabilistic leaning machine with probability 1.

Computer Science::Machine LearningClass (set theory)Computer scienceInductive biasProbabilistic logicRecursive functionsLimit (mathematics)Inductive reasoningAlgorithm
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Seismic evaluation of ordinary RC buildings retrofitted with externally bonded FRPs using a reliability-based approach

2020

International audience; Despite the extensive literature on reinforced concrete (RC) members retrofitted with fiberreinforced polymer (FRP) composites, few studies have employed a reliability-based approach to evaluate the seismic performance of RC buildings in terms of their collapse capacity and ductility. In this study, the performance of a poorly-confined RC building structure is investigated for different FRP retrofitting schemes using different configurations and combinations of wrapping and flange-bonded FRPs, as two well-established techniques. A nonlinear pushover analysis is then implemented with a computational reliability analysis based on Latin Hypercube Sampling (LHS) to deter…

Computer science02 engineering and technologyRetrofitting0203 mechanical engineeringRC buildings[PHYS.MECA.SOLID]Physics [physics]/Mechanics [physics]/Solid mechanics [physics.class-ph]RetrofittingCollapse capacityDuctilityReliability (statistics)Civil and Structural EngineeringDuctilitybusiness.industryProbabilistic logicFailure modeStructural engineeringFibre-reinforced plastic021001 nanoscience & nanotechnologyReliability020303 mechanical engineering & transportsLatin hypercube samplingCeramics and Composites0210 nano-technologybusinessMaterial propertiesFailure mode and effects analysisFRP
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Manulex-infra: Distributional characteristics of grapheme—phoneme mappings, and infralexical and lexical units in child-directed written material

2007

It is well known that the statistical characteristics of a language, such as word frequency or the consistency of the relationships between orthography and phonology, influence literacy acquisition. Accordingly, linguistic databases play a central role by compiling quantitative and objective estimates about the principal variables that affect reading and writing acquisition. We describe a new set of Web-accessible databases of French orthography whose main characteristic is that they are based on frequency analyses of words occurring in reading books used in the elementary school grades. Quantitative estimates were made for several infralexical variables (syllable, grapheme-to-phoneme mappi…

Computer scienceBigrammedia_common.quotation_subjectExperimental and Cognitive PsychologyHomophonycomputer.software_genreVocabularyManuals as TopicArts and Humanities (miscellaneous)PhoneticsReading (process)Developmental and Educational PsychologyHumansChildGeneral Psychologymedia_commonPsycholinguisticsbusiness.industryPhonologyLinguisticsWord lists by frequencyWritten languagePsychology (miscellaneous)Artificial intelligenceSyllablebusinesscomputerNatural language processingOrthographyBehavior Research Methods
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A modeling study suggesting how a reduction in the context-dependent input on CA1 pyramidal neurons could generate schizophrenic behavior.

2011

The neural mechanisms underlying schizophrenic behavior are unknown and very difficult to investigate experimentally, although a few experimental and modeling studies suggested possible causes for some of the typical psychotic symptoms related to this disease. The brain region most involved in these processes seems to be the hippocampus, because of its critical role in establishing memories for objects or events in the context in which they occur. In particular, a hypofunction of the N-methyl-D-aspartate (NMDA) component of the synaptic input on the distal dendrites of CA1 pyramidal neurons has been suggested to play an important role for the emergence of schizophrenic behavior. Modeling st…

Computer scienceCognitive Neurosciencemedia_common.quotation_subjectSchizophrenia Realistic model CA1 Hippocampus Object recognition Synaptic integrationCentral nervous systemModels NeurologicalCa1 neuronHippocampusHippocampal formationSynapse03 medical and health sciences0302 clinical medicineArtificial IntelligencePerceptionmedicineAnimalsHumansInvariant (mathematics)CA1 Region Hippocampal030304 developmental biologymedia_common0303 health sciencesRecallArtificial neural networkPyramidal NeuronSynaptic integrationPyramidal CellsCognitive neuroscience of visual object recognitionDendritesmedicine.diseasemedicine.anatomical_structurenervous systemSchizophreniaSynapsesSchizophreniaNMDA receptorNeuronNerve NetNeuroscience030217 neurology & neurosurgeryNeural networks : the official journal of the International Neural Network Society
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Iteratively Learning a Liver Segmentation Using Probabilistic Atlases: Preliminary Results

2016

This works deals with the concept of liver segmentation by using a priori information based on probabilistic atlases and segmentation learning based of previous steps. A probabilistic atlas is here understood as a probability or membership map that tells how likely is that a point belongs to a shape drawn from the shape distribution at hand. We devise a procedure to segment Perfusion Magnetic Resonance liver images that combines both: a probabilistic atlas of the liver and a segmentation algorithm based on global information of previous simpler segmentation steps, local information from close segmented slices and finally a mathematical morphology procedure, namely viscous reconstruction, to…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentation02 engineering and technologyIterative reconstructionMathematical morphology030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringmedicineSegmentationComputer visionComputingMethodologies_COMPUTERGRAPHICSmedicine.diagnostic_testSegmentation-based object categorizationbusiness.industryProbabilistic logicMagnetic resonance imagingPattern recognitionImage segmentationComputer Science::Computer Vision and Pattern Recognition020201 artificial intelligence & image processingArtificial intelligencebusinessPerfusion2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)
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