Search results for "quantitative method"

showing 10 items of 170 documents

NEIGHBORHOOD EFFECTS IN SPATIAL HOUSING VALUE MODELS. THE CASE OF THE METROPOLITAN AREA OF PARIS (1999)

2009

In hedonic housing models, the spatial dimension of housing values are traditionally processed by the impact of neighborhood variables and accessibility variables. In this paper we show that spatial effects might remain once neighborhood effects and accessibility have been controlled for. We notably stress on three sides of neighborhood effects: social capital, social status and social externalities and consider the accessibility to the primary economic center as describing the urban spatial trend. Using spatial econometrics specifications of the hedonic equation, we estimate whether spatial effects impact the housing values. Our empirical case concerns the Metropolitan Area (MA) of Paris i…

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use PatternsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingC520Modèle hédoniqueJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions[SHS.ECO]Humanities and Social Sciences/Economics and FinanceC120C520R140R210 [Hedonic modelhousing valueneighborhood effectsspatial econometricsModèle hédoniquevaleur immobilièreeffets de voisinageéconométrie spatiale JEL Classification]JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsR210JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use Patternsspatial econometricsvaleur immobilièreeffets de voisinageneighborhood effectsHedonic model[ SHS.ECO ] Humanities and Social Sciences/Economies and financeshousing valueéconométrie spatiale JEL Classification : C120[SHS.ECO] Humanities and Social Sciences/Economics and FinanceR140
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Spatial effects of urban public policies on housing values

2009

International audience; Problems of spatial segregation have often stressed on the social status and social capital of a neighbourhood as main driving forces behind housing price formation. In this paper, it is assumed that spatial effects are additional variables worth considering since the impact of urban policies such as social housing policies and urban regeneration policies may permeate outside the areas where they are implemented. Our case study is of the urban area of Dijon (France), where these two types of urban policies have been implemented in the last three decades. Spatial effects are introduced in the hedonic model and a spatial error model is estimated, revealing a positive a…

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demandurban policiesJEL : C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special TopicsPublic housingGeography Planning and DevelopmentPublic policyUrban regenerationEnvironmental Science (miscellaneous)Urban areaneighbourhood effectsJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R28 - Government PolicyDeprived districts[ SHS.ECO ] Humanities and Social Sciences/Economies and financesEconomic geography[SHS.ECO] Humanities and Social Sciences/Economics and FinanceNeighbourhood (mathematics)JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demandgeography.geographical_feature_category[SHS.ECO]Humanities and Social Sciences/Economics and FinanceGeographyspatial econometricsEconomyPrice formationhedonic modelJEL: C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special TopicsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R28 - Government PolicySocial capitalSocial status
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Molecular mimicry may explain multi-organ damage in COVID-19

2020

International audience

Kawasaki vasculitiVascular damagemedicine.disease_causeEpitopes0302 clinical medicineOR7D4PandemicSevere acute respiratory syndrome coronavirus 2Immunology and AllergyComputingMilieux_MISCELLANEOUS0303 health sciencesLeukopenia[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Molecular mimicryPARP9Cross ReactionEpitopemedicine.symptomCoronavirus InfectionsHuman2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)AnosmiaPneumonia ViralImmunologyAnosmiaCross ReactionsBiologyAutoimmune DiseaseArticleAutoimmune DiseasesBetacoronavirus03 medical and health sciencesKawasaki vasculitismedicineHumansPandemics030304 developmental biologyBetacoronaviruPandemicSARS-CoV-2Coronavirus InfectionModels ImmunologicalCOVID-19LeukopeniaMulti organbiology.organism_classificationVirologySLC12A6Molecular mimicry030217 neurology & neurosurgeryBetacoronavirusAutoimmunity Reviews
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Selectivity in Probabilistic Causality: Where Psychology Runs Into Quantum Physics

2011

Given a set of several inputs into a system (e.g., independent variables characterizing stimuli) and a set of several stochastically non-independent outputs (e.g., random variables describing different aspects of responses), how can one determine, for each of the outputs, which of the inputs it is influenced by? The problem has applications ranging from modeling pairwise comparisons to reconstructing mental processing architectures to conjoint testing. A necessary and sufficient condition for a given pattern of selective influences is provided by the Joint Distribution Criterion, according to which the problem of "what influences what" is equivalent to that of the existence of a joint distr…

Linear programming81P05 (Primary) 91E99 (Secondary)media_common.quotation_subjectFOS: Physical sciencesMathematics - Statistics TheoryQuantum entanglementStatistics Theory (math.ST)System of linear equations01 natural sciencesQuantitative Biology - Quantitative Methods050105 experimental psychologyCausality (physics)Joint probability distributionQuantum mechanics0103 physical sciencesFOS: Mathematics0501 psychology and cognitive sciences010306 general physicsSet (psychology)ta515General PsychologyQuantitative Methods (q-bio.QM)media_commonta113ta112Quantum PhysicsVariablesta114Applied Mathematicsta11105 social sciencesFOS: Biological sciencesPhysics - Data Analysis Statistics and ProbabilityQuantum Physics (quant-ph)Random variableData Analysis Statistics and Probability (physics.data-an)
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Spike-in SILAC proteomic approach reveals the vitronectin as an early molecular signature of liver fibrosis in hepatitis C infections with hepatic ir…

2014

Hepatitis C virus (HCV)-induced iron overload has been shown to promote liver fibrosis, steatosis, and hepatocellular carcinoma. The zonal-restricted histological distribution of pathological iron deposits has hampered the attempt to perform large-scale in vivo molecular investigations on the comorbidity between iron and HCV. Diagnostic and prognostic markers are not yet available to assess iron overload-induced liver fibrogenesis and progression in HCV infections. Here, by means of Spike-in SILAC proteomic approach, we first unveiled a specific membrane protein expression signature of HCV cell cultures in the presence of iron overload. Computational analysis of proteomic dataset highlighte…

Liver CirrhosisProteomicshepatitis C virusMaleMESH: Isotope LabelingHSCmedicine.disease_causeBiochemistry0302 clinical medicineFibrosisMESH: Up-RegulationMembrane Proteinhepatic stellate cellliver fibrosishepatic iron overload0303 health sciencesbiologyMESH: ProteomicsMedicine (all)hepatocellular carcinomaBiomedicine; hepatitis c infection; liver fibrosis; hepatic iron overload; vitronectinHepatitis C[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Hepatitis CUp-Regulation3. Good healthcell culture-derived HCVIsotope Labeling030220 oncology & carcinogenesisHepatocellular carcinomaBiomedicine; Hepatic iron overload; Hepatitis C infection; Liver fibrosis; Vitronectin; Biomarkers; Cell Line; Hepatitis C; Humans; Iron Overload; Isotope Labeling; Liver Cirrhosis; Male; Membrane Proteins; Proteomics; Up-Regulation; Vitronectin; Molecular Biology; Biochemistry; Medicine (all)HCV[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/VirologyBiomarker (medicine)VitronectinMESH: Membrane ProteinsMESH: Liver CirrhosisHumanIron OverloadLiver CirrhosiHepatitis C virusvitronectinhepatitis c infectionCell LineMESH: Iron Overload03 medical and health sciencesmedicineHumans[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMolecular Biology030304 developmental biologyMESH: Hepatitis CMESH: HumansMESH: Biological MarkersMembrane ProteinsLiver fibrosiProteomicBiomarkermedicine.diseaseMESH: VitronectinMESH: Maledigestive system diseasesMESH: Cell LineBiomedicineBiomedicine / Abbreviations: HCCHCVccImmunologyCancer researchHepatic stellate cellbiology.proteinSteatosisBiomarkersPROTEOMICS
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Analysing Local Tourism. A Statistical Perspective. An Introduction.

2013

Local tourismSettore SECS-S/05 - Statistica SocialeQuantitative methods for tourism
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PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins

2020

Abstract The Protein Ensemble Database (PED) (https://proteinensemble.org), which holds structural ensembles of intrinsically disordered proteins (IDPs), has been significantly updated and upgraded since its last release in 2016. The new version, PED 4.0, has been completely redesigned and reimplemented with cutting-edge technology and now holds about six times more data (162 versus 24 entries and 242 versus 60 structural ensembles) and a broader representation of state of the art ensemble generation methods than the previous version. The database has a completely renewed graphical interface with an interactive feature viewer for region-based annotations, and provides a series of descriptor…

MESH: Databases ProteinMESH: Search EngineAcademicSubjects/SCI00010[SDV.BBM.BS] Life Sciences [q-bio]/Biochemistry Molecular Biology/Structural Biology [q-bio.BM][SDV]Life Sciences [q-bio]media_common.quotation_subjectBiologycomputer.software_genreIntrinsically disordered proteins03 medical and health sciencesDatabases0302 clinical medicineInformation and Computing SciencesGeneticsFeature (machine learning)Database IssueHumansDatabases ProteinRepresentation (mathematics)Function (engineering)MESH: Tumor Suppressor Protein p53ComputingMilieux_MISCELLANEOUS030304 developmental biologymedia_commonGraphical user interfaceStructure (mathematical logic)MESH: Intrinsically Disordered Proteins0303 health sciencesMESH: HumansDatabase[SDV.BBM.BS]Life Sciences [q-bio]/Biochemistry Molecular Biology/Structural Biology [q-bio.BM]business.industryProteinBiological Sciences[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]MetadataSearch EngineIntrinsically Disordered ProteinsState (computer science)Generic health relevanceTumor Suppressor Protein p53businesscomputer030217 neurology & neurosurgeryEnvironmental SciencesDevelopmental Biology
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A data mining approach for grouping and analyzing trajectories of care using claim data: the example of breast cancer

2013

International audience; BACKGROUND: With the increasing burden of chronic diseases, analyzing and understanding trajectories of care is essential for efficient planning and fair allocation of resources. We propose an approach based on mining claim data to support the exploration of trajectories of care. METHODS: A clustering of trajectories of care for breast cancer was performed with Formal Concept Analysis. We exported Data from the French national casemix system, covering all inpatient admissions in the country. Patients admitted for breast cancer surgery in 2009 were selected and their trajectory of care was recomposed with all hospitalizations occuring within one year after surgery. Th…

MaleDatabases FactualInsurance Claim Review02 engineering and technologyCarecomputer.software_genreHealth informatics0302 clinical medicine0202 electrical engineering electronic engineering information engineeringFormal concept analysisMedicine[ SHS.ECO ] Humanities and Social Sciences/Economies and finances030212 general & internal medicineHospital Costs[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SHS.ECO] Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUS[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]Cancer[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Health PolicyFormal concept analysisMiddle Aged[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Hospitals3. Good healthComputer Science ApplicationsClaim dataFemaleData miningFranceTrajectory of careResearch ArticleHealth InformaticsBreast Neoplasms03 medical and health sciencesInsurance Claim ReviewBreast cancerbreast cancer020204 information systems[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]HumansData miningAgedbusiness.industryCancerAnalysing trajectoriesmedicine.diseaseData science[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businesscomputer
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An ancestral recombination graph for diploid populations with skewed offspring distribution

2013

A large offspring number diploid biparental multilocus population model of Moran type is our object of study. At each timestep, a pair of diploid individuals drawn uniformly at random contribute offspring to the population. The number of offspring can be large relative to the total population size. Similar `heavily skewed' reproduction mechanisms have been considered by various authors recently. Each diploid parental individual contributes exactly one chromosome to each diploid offspring, and hence ancestral lineages can only coalesce when in distinct individuals. A separation of timescales phenomenon is thus observed. A result of M\"{o}hle (1998) is extended to obtain convergence of the an…

MaleLinkage disequilibriumOffspringPopulationLocus (genetics)BiologyInvestigations01 natural sciencesQuantitative Biology - Quantitative MethodsEvolution Molecular010104 statistics & probability03 medical and health sciencesFOS: MathematicsGeneticsAnimalsHumansComputer Simulation0101 mathematicseducationQuantitative Biology - Populations and EvolutionQuantitative Methods (q-bio.QM)030304 developmental biologyGeneticsRecombination Genetic0303 health scienceseducation.field_of_studyModels GeneticProbability (math.PR)Populations and Evolution (q-bio.PE)Ancestral recombination graphDiploidy92D15Genetics PopulationPopulation modelSample size determinationEvolutionary biologyGenetic LociFOS: Biological sciencesFemalePloidyAlgorithmsMathematics - Probability
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Cardiac kinematic parameters computed from video of in situ beating heart

2017

AbstractMechanical function of the heart during open-chest cardiac surgery is exclusively monitored by echocardiographic techniques. However, little is known about local kinematics, particularly for the reperfused regions after ischemic events. We report a novel imaging modality, which extracts local and global kinematic parameters from videos of in situ beating hearts, displaying live video cardiograms of the contraction events. A custom algorithm tracked the movement of a video marker positioned ad hoc onto a selected area and analyzed, during the entire recording, the contraction trajectory, displacement, velocity, acceleration, kinetic energy and force. Moreover, global epicardial veloc…

Malemedicine.medical_specialtyBeating heartSystoleVideo RecordingCardiac kinematic parametersFOS: Physical sciencesMyocardial ReperfusionKinematics030204 cardiovascular system & hematologyQuantitative Biology - Quantitative MethodsArticleDisplacement (vector)03 medical and health sciencesAcceleration0302 clinical medicineDiastoleInternal medicinemedicineAnimalsHumansComputer Simulation030212 general & internal medicineCoronary Artery BypassAtrioventricular BlockTissues and Organs (q-bio.TO)Quantitative Methods (q-bio.QM)PhysicsLive videoMultidisciplinaryopen-chest cardiac surgeryReproducibility of ResultsQuantitative Biology - Tissues and OrgansHeartPhysics - Medical Physicscontact-free and non-invasive modeMyocardial ContractionBiomechanical PhenomenaRatsCardiac surgeryCardiac kinematic parameters open-chest cardiac surgery contact-free and non-invasive modemedicine.anatomical_structureParticle image velocimetryFOS: Biological sciencesCardiologyFemaleMedical Physics (physics.med-ph)RheologyArteryScientific Reports
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