Search results for "PROBA"

showing 10 items of 3964 documents

Role of theN*(1535)resonance and theπ−p→KYamplitudes in the OZI forbiddenπN→ϕNreaction

2008

We study the $\ensuremath{\pi}N\ensuremath{\rightarrow}\ensuremath{\phi}N$ reaction close to the $\ensuremath{\phi}N$ threshold within the chiral unitary approach, by combining the ${\ensuremath{\pi}}^{\ensuremath{-}}p\ensuremath{\rightarrow}{K}^{+}{\ensuremath{\Sigma}}^{\ensuremath{-}},{\ensuremath{\pi}}^{\ensuremath{-}}p\ensuremath{\rightarrow}{K}^{0}{\ensuremath{\Sigma}}^{0}$, and ${\ensuremath{\pi}}^{\ensuremath{-}}p\ensuremath{\rightarrow}{K}^{0}\ensuremath{\Lambda}$ amplitudes with the coupling of \ensuremath{\phi} to the $K$ components of the final states of these reactions via quantum loops. We obtain good agreement with experiment when the dominant ${\ensuremath{\pi}}^{\ensuremath{…

PhysicsNuclear and High Energy PhysicsParticle physicsAmplitudeMeson productionPole approximationPiResonanceCoupling (probability)Nuclear theoryMathematical physicsPhysical Review C
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Forecasting correlated time series with exponential smoothing models

2011

Abstract This paper presents the Bayesian analysis of a general multivariate exponential smoothing model that allows us to forecast time series jointly, subject to correlated random disturbances. The general multivariate model, which can be formulated as a seemingly unrelated regression model, includes the previously studied homogeneous multivariate Holt-Winters’ model as a special case when all of the univariate series share a common structure. MCMC simulation techniques are required in order to approach the non-analytically tractable posterior distribution of the model parameters. The predictive distribution is then estimated using Monte Carlo integration. A Bayesian model selection crite…

Multivariate statisticsMathematical optimizationsymbols.namesakeModel selectionExponential smoothingPosterior probabilitysymbolsUnivariateMarkov chain Monte CarloBusiness and International ManagementSeemingly unrelated regressionsBayesian inferenceMathematicsInternational Journal of Forecasting
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Becton Dickinson Directigen EZ Flu A+B assay in the diagnosis of pandemic influenza A H1N1 2009 virus infection in adult patients

2011

To the editor: The recent emergence and spread of the pandemic influenza A H1N1 2009 virus demands the evaluation of rapid antigen assays for their ability to detect this novel subtype of influenza A virus. Data on the ability of BD Directigen EZ Flu A+B immunochromatographic (IC) assay (Beckton Dickinson and Company, Sparks, MD, USA) to detect the pandemic influenza A virus strain in fresh clinical samples have been recently published. 1 , 2 , 3 , 4 , 5 In these studies, the majority of specimens were collected from pediatric patients, and the sensitivities reported ranged from 46·8% to 76·6%. As viral shedding in the upper respiratory tract during influenza virus infection is of greater m…

Pulmonary and Respiratory Medicinemedicine.diagnostic_testEpidemiologybusiness.industryPublic Health Environmental and Occupational HealthBecton dickinsonmedicine.disease_causeVirologyVirusPre- and post-test probabilityInfectious DiseasesImmunoassayPandemicInfluenza A virusMedicineInfection controlViral sheddingbusinessInfluenza and Other Respiratory Viruses
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Physical Cross Links in Amorphous PET, Influence of Cooling Rate and Ageing

2003

A Continuous Cooling Transformation (CCT) procedure can be used to distinguish the initial “state” of the amorphous PET samples produced upon solidification from the melt at different cooling rates. The material frozen at this stage behaves as a rubber when brought above the Tg due to the onset of physical cross links. The rubber is not a stable network, however, since physical cross links may eventually dissolve. Their size distribution, and possibly their number, depend on cooling rate and ageing. Some may be even stable above the glass transition and act as nuclei for further crystallization from the glass. Upon increasing cooling rate, size distribution becomes smaller and stability of …

Materials scienceContinuous cooling transformationStability (probability)Amorphous solidlaw.inventionCooling rateNatural rubberAgeinglawvisual_artvisual_art.visual_art_mediumComposite materialCrystallizationGlass transition
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Hyperfine interaction in the Autler-Townes effect: The formation of bright, dark, and chameleon states

2017

This paper is devoted to clarifying the implications of hyperfine (HF) interaction in the formation of adiabatic (i.e., ``laser-dressed'') states and their expression in the Autler-Townes (AT) spectra. We first use the Morris-Shore model [J. R. Morris and B. W. Shore, Phys. Rev. A 27, 906 (1983)] to illustrate how bright and dark states are formed in a simple reference system where closely spaced energy levels are coupled to a single state with a strong laser field with the respective Rabi frequency ${\mathrm{\ensuremath{\Omega}}}_{S}$. We then expand the simulations to realistic hyperfine level systems in Na atoms for a more general case when non-negligible HF interaction can be treated as…

PhysicsAutler–Townes effectCoupling (probability)01 natural sciencesOmegaSpectral line010305 fluids & plasmas0103 physical sciencesAtomic physics010306 general physicsGround stateHyperfine structureEnergy (signal processing)ExcitationPhysical Review A
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On the Multifractal Character of the Lorenz Attractor

1992

A detailed analysis of the Lorenz attractor in connection with generalized dimensions is presented in this work. Different methods have been employed to estimate these dimensions. Two of them are of standard type. A new method, based on the minimal spanning tree of the point distribution, is extensively tested in this work. It turns out that the Lorenz attractor is very appropriate for being analyzed through this technique, which produces a very clean estimate of the extrema scaling indices α min and α max . The different methods give qualitatively the same result: The Lorenz attractor has a multifractal character

PhysicsRössler attractorMathematics::Dynamical SystemsPhysics and Astronomy (miscellaneous)Multifractal systemPhysics::Data Analysis; Statistics and ProbabilityLorenz systemMinimum spanning treeNonlinear Sciences::Chaotic DynamicsCharacter (mathematics)Hausdorff dimensionAttractorStatistical physicsScalingProgress of Theoretical Physics
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Generalized feed-forward based method for wind energy prediction

2013

Abstract Even though a number of new mathematical functions have been proposed for modeling wind speed probability density distributions, still the Weibull function continues to be the most commonly used model in the literature. Therefore, the parameters of this function are still widely used to obtain typical wind probability density distributions for finding the wind energy potential by researchers, engineers and designers. Once long-term average of Weibull function’s parameters are known, then the probability density distributions can easily be obtained. Artificial neural network (ANN) can be used as alternative to analytical approach as ANN offers advantages such as no required knowledg…

EngineeringWind powerArtificial neural networkbusiness.industryMechanical EngineeringProbability density functionBuilding and ConstructionFunction (mathematics)Management Monitoring Policy and LawTurbineWind speedGeneral EnergyStatisticsApplied mathematicsbusinessPhysics::Atmospheric and Oceanic PhysicsEnergy (signal processing)Weibull distributionApplied Energy
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2018

Genome-Wide-Association-Studies have become a powerful method to link point mutations (e.g. single nucleotide polymorphisms (SNPs)) to a certain phenotype or a disease. However, their power to detect SNPs associated to polygenic diseases such as Alzheimer's Disease (AD) is limited, since they can only infer the pairwise relation of single SNPs to the phenotype and ignore possible effects of various SNP combinations. The common method to probe these possible complex genetic patterns is to compute a measure called linkage disequilibrium (LD). Despite the fact that several predictive patterns found with LD could successfully be applied to medical diagnosis, this measure still holds several dra…

0301 basic medicineLinkage (software)education.field_of_studyLinkage disequilibriumPopulationPosterior probabilityGenomicsSingle-nucleotide polymorphismComputational biologyBiology03 medical and health sciences030104 developmental biology0302 clinical medicineSNPeducationCategorical variable030217 neurology & neurosurgeryGenomics and Computational Biology
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Brief Introduction to Probability Distributions

2014

There is a great deal of uncertainty in any project. That is, data is seldom absolutely reliable and exact, since there is never certainty about duration of tasks, price variations, effect on the environment, etc., to say nothing about those aspects which are external to the project and for which the project developer has no control, such as weather conditions, demand, stock fluctuations, inflation, supplier’s delays, etc. It is believed that many projects are not completed in time and finish with cost overrun, because in their preparation, data is taken as unquestionable, and then actual conditions show that it is not precisely the case. For this reason the uncertainty aspect has to be con…

Normal distributionCost overrunOperations researchComputer sciencemedia_common.quotation_subjectProbability distributionCertaintyStatisticStock (geology)media_common
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Interpolated measures with bounded density in metric spaces satisfying the curvature-dimension conditions of Sturm

2011

We construct geodesics in the Wasserstein space of probability measure along which all the measures have an upper bound on their density that is determined by the densities of the endpoints of the geodesic. Using these geodesics we show that a local Poincar\'e inequality and the measure contraction property follow from the Ricci curvature bounds defined by Sturm. We also show for a large class of convex functionals that a local Poincar\'e inequality is implied by the weak displacement convexity of the functional.

Mathematics - Differential GeometryPure mathematicsGeodesicPoincaré inequalityMetric measure spaceCurvature01 natural sciencesConvexitysymbols.namesakeMathematics - Analysis of PDEsMathematics - Metric GeometryFOS: MathematicsMathematics::Metric Geometry0101 mathematicsRicci curvatureMathematicsProbability measure010102 general mathematicsta111Measure contraction propertyMetric Geometry (math.MG)53C23 (Primary) 28A33 49Q20 (Secondary)Functional Analysis (math.FA)010101 applied mathematicsMathematics - Functional AnalysisMetric spaceRicci curvatureDifferential Geometry (math.DG)Poincaré inequalityBounded functionsymbolsMathematics::Differential GeometryAnalysisAnalysis of PDEs (math.AP)
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