Search results for "Analyse"

showing 10 items of 1155 documents

Molecular evolutionary analysis of type-1 human astroviruses identifies putative sites under selection pressure on the capsid protein

2017

Human astroviruses (HAstV) are important enteric pathogens that can be classified into eight sero/genotypes (HAstV-1 to -8). Although the various HAstV types show global spread, type-1 strains tend to be predominant. Molecular analysis of the genomic region encoding the capsid protein (ORF2) has revealed discrete sequence variation, with different lineages within each HAstV type and at least three major lineages have been identified within HAstV-1. Longitudinal epidemiological surveillance has revealed temporal shift of the various HAstV-1 lineages. Metadata analysis of HAstV-1 sequences available in the databases also revealed temporal shifts of the circulation of HAstV-1 lineages, suggest…

Models Molecular0301 basic medicineMicrobiology (medical)Settore MED/07 - Microbiologia E Microbiologia ClinicaGenotypeProtein ConformationAstroviru030106 microbiologyBiologyMicrobiologyAstrovirusEvolution MolecularOpen Reading Frames03 medical and health sciencesProtein structureGeneticPhylogeneticsAstroviridae InfectionsGenetic variationGenotypePhylogenetic analyseGeneticsHumansAmino Acid SequenceSelection GeneticPeptide sequenceMolecular BiologyPhylogenyEcology Evolution Behavior and SystematicsGeneticsGenetic evolutionSelection pressure analysiGenetic Variationbiology.organism_classificationEcology Evolution Behavior and SystematicOpen reading frame030104 developmental biologyInfectious DiseasesCapsidAstroviridaeCapsid ProteinsCapsid protein structureHAstV-1
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Processus d’innovation : une analyse sur les données CIS Européennes

2022

L’innovation est vu comme un déterminant important de la compétitivité des entreprises, elle joue donc le rôle crucial de moteur économique. Toute une série de mesure a été mis en place ces dernières décennies pour favoriser celle-ci. Pour autant, l’innovation n’est pas toujours source de croissance. Il apparait alors essentiel de comprendre le mécanisme d’innovation et son rendement, afin de guider au mieux l’action des politiques publiques.Il est très fréquent d’utiliser l’enquête communautaire sur l’innovation CIS (Community Innovation Survey) pour étudier le processus d’innovation. En effet, ces enquêtes constituent la principale source de statistiques sur l’innovation des entreprises e…

Modèle CDMAnalyse quantitativeInnovation[QFIN] Quantitative Finance [q-fin]
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Study of the microstructure and efficiency of YSZ-SPS finely structured ceramic coatings

2018

Thanks to the using of liquid carrier, suspension plasma spray (SPS) enables the manufacture of finely structured coatings. As for conventional plasma spraying (APS), the microstructures of SPS coatings can be tailored by controlling the spray conditions. However, SPS is more complicated than APS due to its number of modifiable parameters.This thesis aims to provide a more fundamental understanding of the relationship between SPS process parameters and the properties of YSZ coatings by identifying generic models based on the use of mathematical statistical methods for the study of influence and sensitivity of the individual parameters.Systematic experiments were carried out to study the inf…

Modèle prédictif[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process EngineeringPredictive modelSuspension plasma sprayProjection plasma de suspensionProcess parameterMultivariate statistics analysisParamètre de procédé[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringPorosityMicrostructurePorositéAnalyse statistique multivariée
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Analysis and modeling of Temporal Dominance of Sensations with stochastic processes

2019

Temporal Dominance of Sensations (TDS) is a technique to measure temporal perception of food product during tasting. For a panelist, it consists in choosing in a list of attributes which one is dominant at any time. This work aims to model TDS data with a stochastic process and proposes to use semi-Markov processes (SMP), a generalization of Markov chains which allows dominance durations to be modeled by any type of distribution. The model can then be used to compare TDS samples based on likelihood ratio. Because probabilities of transition from one attribute to another one can also depend on time, we propose to model TDS by period and we propose a method to select optimally the number of p…

Modèles de mélangeDominance Temporelle des SensationsAnalyse sensorielleProcessus semi-Markoviens[SCCO.COMP] Cognitive science/Computer scienceSemi-Markov processesSensory analysisTemporal Dominance of SensationsMixture models
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Analysis and modeling of Temporal Dominance of Sensations with stochastic processes

2019

Temporal Dominance of Sensations (TDS) is a technique to measure temporal perception of food product during tasting. For a panelist, it consists in choosing in a list of attributes which one is dominant at any time. This work aims to model TDS data with a stochastic process and proposes to use semi-Markov processes (SMP), a generalization of Markov chains which allows dominance durations to be modeled by any type of distribution. The model can then be used to compare TDS samples based on likelihood ratio. Because probabilities of transition from one attribute to another one can also depend on time, we propose to model TDS by period and we propose a method to select optimally the number of p…

Modèles de mélange[SHS.STAT]Humanities and Social Sciences/Methods and statisticsProcessus semi-MarkoviensTemporal Dominance of Sensations (TDS)[SCCO.COMP]Cognitive science/Computer scienceSensory analysis[SDV.AEN] Life Sciences [q-bio]/Food and NutritionDominance Temporelle des Sensations[SCCO.COMP] Cognitive science/Computer scienceAnalyse sensorielle[SHS.STAT] Humanities and Social Sciences/Methods and statisticsSemi-Markov processesMixture modelsTemporal Dominance of Sensations[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Motion Analysis for Dynamic 3D Scene Reconstruction and Understanding

2017

This thesis studies the problem of dynamic scene 3D reconstruction and understanding using a calibrated 2D-3D camera setup mounted on a mobile platform via the analysis of objects' motions. For static scenes, the sought 3D map reconstruction can be obtained by registering the point cloud sequence. However, with dynamic scenes, we require a prior step of moving object elimination, which yields to the motion detection and segmentation problems. We provide solutions for the two practical scenarios, namely the known and unknown camera motion cases, respectively. When camera motion is unknown, our 3D-SSC and 3D-SMR algorithms segment the moving objects by analysing their 3D feature trajectories.…

Motion SegmentationSegmentation au sens du mouvement[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]3D Map ReconstructionReconstruction 3DAnalyse de scènes[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingDetection d'objets en mouvement[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Moving Object DetectionDynamic Scene Analysis
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Regard sur l'effet des pratiques pédagogiques sur la motivation et les manières d'étudier des étudiants primo-arrivants à l'université

2014

La motivation, phénomène complexe à appréhender, a fait l'objet d'un grand nombre de théories. Celles de l'autodétermination (Deci et Ryan, 1985), du sentiment d'efficacité personnelle (Bandura, 1997), ou bien encore le modèle de la dynamique motivationnelle (Viau, 1998), en adoptant une approche sociocognitive, permettent d'envisager le contexte d'apprentissage comme pouvant influer sur la motivation des individus. Par ailleurs, comme le rappelle Lambert-Le Mener (2012), ce facteur est lié aux manières d'étudier des étudiants. Il est établi que ces dernières peuvent différer en fonction de certains facteurs relatifs à l'environnement d'apprentissage de l'étudiant, comme sa filière d'inscri…

MotivationUniversitéPédagogie universitaire[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/EducationInterrelationÉtudiant[ SHS.EDU ] Humanities and Social Sciences/EducationCours magistralAnalyseMéthode de travailPratique pédagogiqueEnseignant
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Validation of a multi-residue UHPLC-HRMS method for antibiotics screening in milk, fresh cheese, and whey

2022

Abstract The aim of this study was to develop a UHPLC–HRMS methodology as a suitable tool for the screening of antibiotics in milk, fresh cheese, and whey. Compounds were analysed using an Orbitrap Exactive™ analyser working at a resolving power of 50,000 FWHM in full scan, both in positive and negative electrospray ionization mode, and a high mass accuracy (

Multi residueChromatographyChemistrylawElectrospray ionizationAnalyserUhplc hrmsOrbitrapFood Sciencelaw.inventionJournal of Food Composition and Analysis
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Microorganisms in the Space Environment

1984

Preliminary results of the Spacelab 1 experiment on the response of Bacillus subtilis spores to conditions of free space are presented. Exposure to the vacuum of space on the Spacelab pallet reduced viability counts about 50 percent and increased mutation frequencies by a factor of about 10. Interpretation of apparent differences in the photobiological and photochemical data between flight and ground simulation experiments will require more statistical analyses and data from actual fluence measurements.

MultidisciplinaryOpticsbusiness.industryStatistical analysesMicroorganismFree spaceBiologyBiological systembusinessUltraviolet radiationSpace environmentScience
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Different Representation Procedures Originated from Multivariate Temporal Pattern Analysis of the Behavioral Response to Pain in Wistar Rats Tested i…

2019

Temporal pattern analysis is an advanced multivariate technique able to investigate the structure of behavior by unveiling the existence of statistically significant constraints among the interval length separating events in sequence. If on the one hand, such an approach allows investigating the behavioral response to pain in its most intimate and inner features, on the other hand, due to the meaning of the studies on pain, it is of relevant importance that the results utilize intuitive and easily comprehensible ways of representation. The aim of this paper is to show various procedures useful to represent the results originating from the multivariate T-pattern analysis of the behavioral re…

Multivariate statisticsMultivariate analysisPain -- Animal modelsPattern analysisNeurophysiologyT-pattern analysisSettore BIO/09 - FisiologiaArticlemultivariate analyseslcsh:RC321-571medicinepainHot platelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryAnimal behavior -- Statistical methodsmultivariate analyseMorphineGeneral NeuroscienceRepresentation (systemics)T-pattern analysimorphinehot-plateBehavioral responseMultivariate analysisMorphineT-patternPsychologyNeurosciencemedicine.drug
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