Search results for "wise"

showing 10 items of 369 documents

Conformal measures for multidimensional piecewise invertible maps

2001

Given a piecewise invertible map T:X\to X and a weight g:X\rightarrow\ ]0,\infty[ , a conformal measure \nu is a probability measure on X such that, for all measurable A\subset X with T:A\to TA invertible, \nu(TA)= \lambda \int_{A}\frac{1}{g}\ d\nu with a constant \lambda>0 . Such a measure is an essential tool for the study of equilibrium states. Assuming that the topological pressure of the boundary is small, that \log g has bounded distortion and an irreducibility condition, we build such a conformal measure.

Applied MathematicsGeneral MathematicsBoundary (topology)Measure (mathematics)law.inventionCombinatoricsDistortion (mathematics)Invertible matrixlawBounded functionPiecewiseIrreducibilityMathematicsProbability measureErgodic Theory and Dynamical Systems
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Erratum to “Number of equilibrium states of piecewise monotonic maps of the interval”

1997

Applied MathematicsGeneral MathematicsMathematical analysisPiecewiseApplied mathematicsInterval (graph theory)Monotonic functionMathematicsProceedings of the American Mathematical Society
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On a global superconvergence of the gradient of linear triangular elements

1987

Abstract We study a simple superconvergent scheme which recovers the gradient when solving a second-order elliptic problem in the plane by the usual linear elements. The recovered gradient globally approximates the true gradient even by one order of accuracy higher in the L 2 -norm than the piecewise constant gradient of the Ritz—Galerkin solution. A superconvergent approximation to the boundary flux is presented as well.

Applied MathematicsMathematical analysisOrder of accuracySuperconvergenceglobal superconvergence for the gradientComputer Science::Numerical AnalysisGlobal superconvergence for the gradientMathematics::Numerical AnalysisNonlinear conjugate gradient methodElliptic curveComputational Mathematicserror estimatesNorm (mathematics)boundary fluxPiecewisepost-processing of the Ritz—Galerkin schemeGradient descentGradient methodMathematicsJournal of Computational and Applied Mathematics
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A strain-difference-based nonlocal elasticity model

2004

Abstract A two-component local/nonlocal constitutive model for (macroscopically) inhomogeneous linear elastic materials (but constant internal length) is proposed, in which the stress is the sum of the local stress and a nonlocal-type stress expressed in terms of the strain difference field, hence identically vanishing in the case of uniform strain. Attention is focused upon the particular case of piecewise homogeneous material. The proposed model is thermodynamically consistent with a suitable free energy potential. It constitutes an improved form of the Vermeer and Brinkgreve [A new effective nonlocal strain measure for softening plasticity. In: Chambon, R., Desrues, J., Vardulakis, I. (E…

Applied MathematicsMechanical EngineeringAttenuationMathematical analysisConstitutive equationLinear elasticityGeometryPlasticityCondensed Matter PhysicsBifurcation theoryMechanics of MaterialsModeling and SimulationPiecewiseGeneral Materials ScienceSofteningMathematicsNumerical stabilityInternational Journal of Solids and Structures
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Topological Dual Systems for Spaces of Vector Measure p-Integrable Functions

2016

[EN] We show a Dvoretzky-Rogers type theorem for the adapted version of the q-summing operators to the topology of the convergence of the vector valued integrals on Banach function spaces. In the pursuit of this objective we prove that the mere summability of the identity map does not guarantee that the space has to be finite dimensional, contrary to the classical case. Some local compactness assumptions on the unit balls are required. Our results open the door to new convergence theorems and tools regarding summability of series of integrable functions and approximation in function spaces, since we may find infinite dimensional spaces in which convergence of the integrals, our vector value…

Article Subject0211 other engineering and technologies02 engineering and technologyTopologyComputer Science::Digital Libraries01 natural sciencesTopological vector spaceVector measureLocally convex topological vector spaceUnconditional convergenceIntegrable function0101 mathematicsLp spaceCompact convergenceMathematicsPointwise convergence021103 operations researchWeak convergenceTopological duallcsh:Mathematics010102 general mathematicslcsh:QA1-939AlgebraComputer Science::Mathematical SoftwareMATEMATICA APLICADAModes of convergenceAnalysis
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Are You Able to Trust Me? Analysis of the Relationships Between Personality Traits and the Assessment of Attractiveness and Trust

2021

Behavioral and neuroimaging studies show that people trust and collaborate with others based on a quick assessment of the facial appearance. Based on the morphological characteristics of the face, i.e., features, shape, or color, it is possible to determine health, attractiveness, trust, and some personality traits. The study attempts to indicate the features influencing the perception of attractiveness and trust. In order to select individual factors, a model of backward stepwise logistic regression was used, analyzing the results of the psychological tests and the attractiveness and trust survey. Statistical analysis made it possible to select the most important personality traits related…

Attractivenessmedia_common.quotation_subjectNeurosciences. Biological psychiatry. Neuropsychiatryregress algorithm050105 experimental psychologycredibility03 medical and health sciencesBehavioral Neuroscience0302 clinical medicinePerceptionCredibility0501 psychology and cognitive sciencesPsychological testingStatistical analysisBig Five personality traitshealth care economics and organizationsBiological PsychiatryOriginal Researchmedia_commontrust and reputation managementtrust and distrust05 social sciencesHuman NeuroscienceStepwise regressionPsychiatry and Mental healthFacial appearancemachine learningNeuropsychology and Physiological PsychologyNeurologyPsychologySocial psychology030217 neurology & neurosurgeryRC321-571Frontiers in Human Neuroscience
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Integration of a Dirac comb and the Bernoulli polynomials

2016

Abstract For any positive integer n , we consider the ordinary differential equations of the form y ( n ) = 1 − Ш + F where Ш denotes the Dirac comb distribution and F is a piecewise- C ∞ periodic function with null average integral. We prove the existence and uniqueness of periodic solutions of maximal regularity. Above all, these solutions are given by means of finite explicit formulae involving a minimal number of Bernoulli polynomials. We generalize this approach to a larger class of differential equations for which the computation of periodic solutions is also sharp, finite and effective.

Bernoulli differential equationDifferential equations[ MATH ] Mathematics [math]Differential equationGeneral MathematicsBernoulli polynomials010102 general mathematicsMathematical analysisDirac combPiecewise-smooth01 natural sciencesDirac comb010305 fluids & plasmasBernoulli polynomialsPeriodic functionsymbols.namesakeDistribution (mathematics)Ordinary differential equation0103 physical sciencessymbols[MATH]Mathematics [math]0101 mathematicsBernoulli processMathematicsMSC: 34A36 37B55 11B68 70G60
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Varietal and geographic classification of french red wines in terms of elements, amino acids and aromatic alcohols

1988

Thirty-four French red wines from three regions already studied for their anthocyanin and flavonoid constituents have been further analysed for elements, amino acids and aromatic alcohols. An interpretation of the differences between wines related to their different geographic and varietal origins has been made from the results of statistical analyses: F statistic, principal component analysis (PCA) and stepwise discriminant analysis (SDA). Wine samples produced near Bordeaux were found to be characterised by higher rubidium and lower lithium and calcium concentrations. Differences between wine samples made from the same grape variety or produced in the same region are mainly related to dif…

Bordeaux wineFlavonoid01 natural scienceschemistry.chemical_compound0404 agricultural biotechnologyEthanolamine[SDV.IDA]Life Sciences [q-bio]/Food engineeringFood scienceChemical compositionComputingMilieux_MISCELLANEOUSWinechemistry.chemical_classificationNutrition and DieteticsChemistryStepwise discriminant analysisdigestive oral and skin physiology010401 analytical chemistryfood and beverages04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food science0104 chemical sciencesAmino acidAnthocyaninAgronomy and Crop ScienceFood ScienceBiotechnology
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Predictors for early readmission after COPD exacerbation

2019

Aim: Identify predictors for early readmission in patients with COPD and severe exacerbation. Material and methods: Prospective study (July 2017-June 2018) that included all patients hospitalized for an acute exacerbations of COPD. Demographic date, clinical and spirometric parameters, arterial blood gases, length of stay, and evolutive parameters were collected. We used univariate and multivariate statistical techniques to identify risks for readmission. Results: 278 consecutive patients were enrolled. During the follow-up 31 (11%) patients were admitted within 30 days of discharge (early readmission). Univariate analysis showed that FEV1 (p=0.02), FEV1 (%) (p=0.01), total dose of steroids…

COPDUnivariate analysismedicine.medical_specialtyMultivariate analysisExacerbationmedicine.diagnostic_testbusiness.industryStepwise regressionmedicine.diseaseInternal medicineMedicineArterial bloodProspective cohort studybusinessChest radiographMonitoring airway disease
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CRiSPy-CUDA: Computing Species Richness in 16S rRNA Pyrosequencing Datasets with CUDA

2011

Pyrosequencing technologies are frequently used for sequencing the 16S rRNA marker gene for metagenomic studies of microbial communities. Computing a pairwise genetic distance matrix from the produced reads is an important but highly time consuming task. In this paper, we present a parallelized tool (called CRiSPy) for scalable pairwise genetic distance matrix computation and clustering that is based on the processing pipeline of the popular ESPRIT software package. To achieve high computational efficiency, we have designed massively parallel CUDA algorithms for pairwise k-mer distance and pairwise genetic distance computation. We have also implemented a memory-efficient sparse matrix clust…

CUDADistance matrixComputer scienceMetagenomicsPipeline (computing)Pairwise comparisonParallel computingCluster analysisQuantitative Biology::GenomicsMassively parallelSparse matrix
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