Search results for "Correlation"

showing 10 items of 2282 documents

Element weighted Kemeny distance for ranking data

2021

Preference data are a particular type of ranking data that arise when several individuals express their preferences over a finite set of items. Within this framework, the main issue concerns the aggregation of the preferences to identify a compromise or a “consensus”, defined as the closest ranking (i.e. with the minimum distance or maximum correlation) to the whole set of preferences. Many approaches have been proposed, but they are not sensitive to the importance of items: i.e. changing the rank of a highly-relevant element should result in a higher penalty than changing the rank of a negligible one. The goal of this paper is to investigate the consensus between rankings taking into accou…

Weighted rank correlation coefficientweighted Kemeny distanceelement weightconsensus ranking
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Consensus measures for preference rankings with ties: an approach based on position weighted Kemeny distance

2018

Preference data are a particular type of ranking data where some subjects (voters, judges, ...) give their preferences over a set of alternatives (items). It happens, in most of the real cases, that some items receive the same preference by a judge, giving raise to a ranking with ties. The purpose of our paper is to investigate on the consensus between rankings with ties taking into account the importance of swapping elements belonging to the top (or to the bottom) of the ordering (position weights). Combining the structure of the Taux proposed by Emond and Mason and the class of weighted Kemeny-Snell distances, we propose a position weighted rank correlation coefficient to compare rankings…

Weighted rank correlation Weighted Kemeny distance Position weights
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Conceptual vs. perceptual wine spaces: Does expertise matter?

2008

Abstract This study explores the differences in wine categorization between wine experts and novice wine consumers using 10 Melon de Bourgogne (MB) and 10 Chardonnay (CH) wines. Participants performed a free sorting task based on odor similarity followed by a CH and a MB typicality rating task and a liking rating. All tasks were performed orthonasally. We observed a clear agreement between experts concerning typicality scores. Moreover, despite a slight overlap we found a clear differentiation between CH and MB for experts’ typicality scores. For novices, no such agreement on typicality scores was observed and we found a complete overlap between both types of wines. These results suggest th…

Wine0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsmedia_common.quotation_subject[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/NeuroscienceCognition04 agricultural and veterinary sciences040401 food scienceCorrelation03 medical and health sciences0404 agricultural biotechnologyCategorizationPerception[ SCCO.NEUR ] Cognitive science/NeuroscienceSimilarity (psychology)Multidimensional scalingWine tastingPsychologySocial psychologyComputingMilieux_MISCELLANEOUSFood Sciencemedia_common
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Correlation analysis of the power law parameters for viscosity of some engineering fluids

2017

Knowledge and estimation of transport properties of fluids which are sensitive to temperature variation like viscosity are necessary in mass flow and heat transfer computation. In the present work,...

Work (thermodynamics)010304 chemical physicsChemistryComputationMass flowThermodynamics02 engineering and technologyCondensed Matter Physics01 natural sciencesPower lawElectronic Optical and Magnetic MaterialsPhysics::Fluid DynamicsViscosity020401 chemical engineering0103 physical sciencesHeat transferCorrelation analysisMaterials Chemistry0204 chemical engineeringPhysical and Theoretical ChemistryPhysics and Chemistry of Liquids
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Correlations for estimating the specific capital cost of multi-effect distillation plants considering the main design trends and operating conditions

2018

Abstract This work proposes a correlation for the specific capital cost of multi-effect distillation (MED) plants, considering their main design options and parameters, such as the number of effects, size/capacity, and heat source temperature. These parameters are varied within a large range to cover as many different cases as possible. The cost correlation decouples the evaporator cost and includes in the expression the ratio of the heat exchanger area to a reference one. This area is calculated using a validated MED numerical model, with the results then processed to produce fitted expressions. Two versions of this correlation with different levels of complexity are proposed, which provid…

Work (thermodynamics)Capital costGeneral Chemical EngineeringSample (statistics)02 engineering and technologyHeat source temperaturelaw.invention020401 chemical engineeringlawDistillate flow rateHeat exchangerStatisticsCapital costNumber of effectGeneral Materials ScienceChemical Engineering (all)0204 chemical engineeringDistillationEvaporatorMathematicsWater Science and TechnologyMulti-effect distillation (MED)Heat exchanger areaDesalinationMechanical EngineeringChemistry (all)General Chemistry021001 nanoscience & nanotechnologyExpression (mathematics)CorrelationMultiple-effect distillationMaterials Science (all)0210 nano-technologyPlant capacityDesalination
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Experimental determination of mode I fracture parameters in orthotropic materials by means of Digital Image Correlation

2020

Abstract The mode I fracture parameters for an orthotropic body are directly calculated from full-field deformation measurements provided by Digital Image Correlation (DIC). Three complementary and direct approaches are evaluated and compared: (i) the determination of the Stress Intensity Factor (SIF) by fitting the displacement field using the analytical expression proposed by Lekhnitskii; (ii) the determination of the J-Integral by using the Energy Domain Integral (EDI) formulation on the raw DIC data; and (iii) the calculation of the J-Integral using the EDI approach on the displacement data fitted using Lekhnitskii’s formulation. A comparative experimental study is performed by testing …

Work (thermodynamics)Digital image correlationMaterials scienceLeast squares fitting/dk/atira/pure/subjectarea/asjc/2600/2604Digital image correlation Energy domain integral J-integral Least squares fitting Stress intensity factorOrthotropic materialDisplacement (vector)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineMaterials Science(all)General Materials ScienceStress intensity factorStress intensity factorJ-integralDeformation (mechanics)Applied MathematicsMechanical Engineering/dk/atira/pure/subjectarea/asjc/3100/3104Mathematical analysisDigital image correlationCondensed Matter PhysicsEnergy domain integral/dk/atira/pure/subjectarea/asjc/2500Displacement fieldFracture (geology)/dk/atira/pure/subjectarea/asjc/2200/2210
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Dynamics of Polymer Melts above the Glass Transition:  Monte Carlo Studies of the Bond Fluctuation Model

1997

The bond fluctuation model on the simple cubic lattice with a bond-length dependent potential energy favoring long bonds exhibits a glassy freezing in as the temperature is lowered, many properties being qualitatively similar to experiment. The present paper studies the dynamical properties of the model (as they result from the random hopping algorithm), using configurations of undercooled polymer melts that have been carefully equilibrated by the slithering snake algorithm. In this way quantitatively reliable data can be obtained for distinctly lower temperatures than in the previous work on the dynamics of this model that used the random hopping algorithm for equilibration as well. If var…

Work (thermodynamics)Polymers and PlasticsCondensed matter physicsChemistryOrganic ChemistryAutocorrelationIncoherent scatterThermodynamicsPotential energyInorganic ChemistrySuperposition principleMaterials ChemistryRelaxation (physics)Glass transitionConstant (mathematics)Macromolecules
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Age-dependent epileptic encephalopathy associated with an unusual co-occurrence of ZEB2 and SCN1A variants.

2020

Mowat-Wilson syndrome is a genetic disorder associated with a variable phenotype including peculiar facial features associated with intellectual disability, epilepsy, language impairment, and multiple congenital anomalies caused by heterozygous mutation of the ZEB2 gene. The ZEB2 protein is a complex transcription factor that encompasses multiple functional domains that interact with the regulatory regions of target genes including those involved in brain development. Recently, it has been documented that ZEB2 regulates the differentiation of interneuron progenitors migrating from the medial ganglionic eminence to cortical layers by repression of the Nkx2-1 homeobox transcription factor. It…

ZEB2genotype-phenotype correlationSettore MED/38 - Pediatria Generale E SpecialisticaSettore M-PSI/08 - Psicologia ClinicaIntellectual DisabilityHumansMowat-Wilson syndromeEEGgenotype-phenotype correlationSCN1AHirschsprung DiseaseEEGChildGenetic Association StudiesZEB2Zinc Finger E-box Binding Homeobox 2EpilepsyEEG; epilepsy; GABAergic interneurons; genotype-phenotype correlation; Mowat-Wilson syndrome; SCN1A; ZEB2FaciesElectroencephalographySettore MED/39 - Neuropsichiatria InfantileGABAergic interneuronsMowat-Wilson syndromeepilepsyNAV1.1 Voltage-Gated Sodium ChannelGABAergic interneuronsMicrocephalySettore MED/26 - NeurologiaFemaleEpileptic disorders : international epilepsy journal with videotape
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Internally Contracted Multireference Coupled Cluster Calculations with a Spin-Free Dirac-Coulomb Hamiltonian: Application to the Monoxides of Titaniu…

2017

We combine internally contracted multireference coupled cluster theory with a four-component treatment of scalar-relativistic effects based on the spin-free Dirac–Coulomb Hamiltonian. This strategy allows for a rigorous treatment of static and dynamic correlation as well as scalar-relativistic effects, which makes it viable to describe molecules containing heavy transition elements. The use of a spin-free formalism limits the impact of the four-component treatment on the computational cost to the non-rate-determining steps of the calculations. We apply the newly developed method to the lowest singlet and triplet states of the monoxides of titanium, zirconium, and hafnium and show how the in…

Zirconium010304 chemical physicsElectronic correlationComputer Science Applications1707 Computer Vision and Pattern Recognition; Physical and Theoretical Chemistrychemistry.chemical_elementComputer Science Applications1707 Computer Vision and Pattern RecognitionElectronic structure010402 general chemistry01 natural sciences0104 chemical sciencesComputer Science ApplicationsHafniumsymbols.namesakeCoupled clusterchemistry0103 physical sciencessymbolsSinglet statePhysics::Chemical PhysicsAtomic physicsPhysical and Theoretical ChemistryRelativistic quantum chemistryHamiltonian (quantum mechanics)
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Automated Characterization of Mouth Activity for Stress and Anxiety Assessment

2016

International audience; Non-verbal information portrayed by human facial expression, apart from emotional cues also encompasses information relevant to psychophysical status. Mouth activities in particular have been found to correlate with signs of several conditions; depressed people smile less, while those in fatigue yawn more. In this paper, we present a semi-automated, robust and efficient algorithm for extracting mouth activity from video recordings based on Eigen-features and template-matching. The algorithm was evaluated for mouth openings and mouth deformations, on a minimum specification dataset of 640x480 resolution and 15 fps. The extracted features were the signals of mouth expa…

[ INFO ] Computer Science [cs]Computer scienceSpeech recognitionFeature extractionautomatic assessmentComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technologymouth gesture recognition[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Yawn[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Correlation03 medical and health sciencesstress0302 clinical medicineRobustness (computer science)Stress (linguistics)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringmedicine[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Facial expression[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]anxietyimage processingRecognition[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicAnxiety020201 artificial intelligence & image processing[ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonicmedicine.symptom030217 neurology & neurosurgery
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