Search results for " Statistical"

showing 10 items of 1649 documents

Liquid methane at extreme temperature and pressure: Implications for models of Uranus and Neptune

2012

We present large scale electronic structure based molecular dynamics simulations of liquid methane at planetary conditions. In particular, we address the controversy of whether or not the interior of Uranus and Neptune consists of diamond. In our simulations we find no evidence for the formation of diamond, but rather sp2-bonded polymeric carbon. Furthermore, we predict that at high tem- perature hydrogen may exist in its monoatomic and metallic state. The implications of our finding for the planetary models of Uranus and Neptune are in detail discussed.

Monatomic gasMaterials sciencePhysics and Astronomy (miscellaneous)HydrogenUranusDiamondchemistry.chemical_elementElectronic structureengineering.materialAstrobiologyMolecular dynamicschemistryNeptunePhysics - Chemical PhysicsengineeringCarbonPhysics - Computational PhysicsCondensed Matter - Statistical MechanicsAstrophysics - Earth and Planetary Astrophysics
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Ion-ion correlation and charge reversal at titrating solid interfaces

2009

Confronting grand canonical titration Monte Carlo simulations (MC) with recently published titration and charge reversal (CR) experiments on silica surfaces by Dove et al. and van der Heyden it et al, we show that ion-ion correlations quantitatively explain why divalent counterions strongly promote surface charge which, in turn, eventually causes a charge reversal (CR). Titration and CR results from simulations and experiments are in excellent agreement without any fitting parameters. This is the first unambiguous evidence that ion-ion correlations are instrumental in the creation of highly charged surfaces and responsible for their CR. Finally, we show that charge correlations result in "a…

Monte Carlo methodFOS: Physical sciencesBinary compoundThermodynamics02 engineering and technologyCondensed Matter - Soft Condensed Matter010402 general chemistry01 natural sciencesIonchemistry.chemical_compoundComputational chemistryElectrochemistryTheoretical chemistryGeneral Materials ScienceSurface chargeSpectroscopyCondensed Matter - Statistical Mechanicschemistry.chemical_classificationStatistical Mechanics (cond-mat.stat-mech)Charge (physics)Surfaces and Interfaces021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciences[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]chemistryddc:540Soft Condensed Matter (cond-mat.soft)Titration[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Counterion0210 nano-technology
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Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

2019

[EN] Objective To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal Variability Assessment (TVA) based on probabilistic data quality assessment was applied to the historic monthly-batched admission data of Hospital La Fe Valencia, Spain from 2010 to 2016. Routine healthcare data with a complete EHR was expanded by processed variables such as the Charlson Comorbidity Index. Results Four Process-Reengineering interventions were detected by quantifiable effects on the EHR: (1) the hospital relocation in 2011 involved progressive reduction of admissions during the next four months, (2) th…

Multivariate analysisData managementPsychological interventionElectronic Medical Records02 engineering and technologyGeographical locationsDatabase and Informatics Methods0302 clinical medicineMathematical and Statistical TechniquesHealth care0202 electrical engineering electronic engineering information engineeringCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALMedicine and Health Sciences03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesElectronic Health Records030212 general & internal medicineData ManagementMultidisciplinaryQStatisticsRHospitalsPatient Discharge3. Good healthEuropePhysical SciencesMedicineEngineering and TechnologyMedical emergencyRelocationMATEMATICA APLICADAManagement EngineeringResearch ArticlePatient TransferComputer and Information SciencesScienceMEDLINESurgical and Invasive Medical ProceduresHealth InformaticsResearch and Analysis Methods03 medical and health sciencesBias020204 information systemsmedicineHumansEuropean UnionStatistical MethodsQuality of Health CareProtocol (science)Business Process Reengineeringbusiness.industrymedicine.diseaseHealth CareHealth Care FacilitiesSpainData qualityFISICA APLICADAMultivariate AnalysisPeople and placesbusinessMathematicsPLoS ONE
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Assessment of the statistical significance of classifications in infrared spectroscopy based diagnostic models.

2014

Fourier transform infrared (IR) spectroscopy in combination with multivariate data analysis is a versatile tool that can be applied to disease diagnosis. However, a rigorous validation of the obtained models is necessary in order to obtain robust results. This work evaluates the advantages of the use of permutation testing for determining the statistical significance of the misclassification errors obtained from IR based diagnostic models through cross validation (CV). The model performance, estimated by CV, is compared to a distribution of CV-performance values obtained using randomly permuted class labels. The distribution of ‘random CV-values’ is considered as a null distribution and use…

Multivariate analysisFeature selectionClinical Chemistry Tests02 engineering and technology01 natural sciencesBiochemistryCross-validationAnalytical ChemistryResamplingStatisticsDiagnosisSpectroscopy Fourier Transform InfraredElectrochemistryNull distributionEnvironmental ChemistryHumansSpectroscopyMathematicsModels Statistical010401 analytical chemistryEstimatorContrast (statistics)Discriminant AnalysisReproducibility of Results021001 nanoscience & nanotechnology0104 chemical sciencesRandom forest0210 nano-technologyThe Analyst
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T-pattern analysis for the study of temporal structure of animal and human behavior : a comprehensive review

2014

A basic tenet in the realm of modern behavioral sciences is that behavior consists of patterns in time. For this reason, investigations of behavior deal with sequences that are not easily perceivable by the unaided observer. This problem calls for improved means of detection, data handling and analysis. This review focuses on the analysis of the temporal structure of behavior carried out by means of a multivariate approach known as T-pattern analysis. Using this technique, recurring sequences of behavioral events, usually hard to detect, can be unveiled and carefully described. T-pattern analysis has been successfully applied in the study of various aspects of human or animal behavior such …

Multivariate analysisGroup method of data handlingPattern analysisBehavioural sciencesTime perceptionSettore BIO/09 - FisiologiaSocial interactionBehavior disorderAnimalsHumansAnimal behaviorCognitive scienceBehaviorModels Statisticalbusiness.industryMultivariate analysiGeneral NeuroscienceT-pattern analysiReproducibility of ResultsSocial relationBehavioral sciencesBehavioral sequenceMultivariate analysisBehavioral disorderMultivariate AnalysisArtificial intelligencePsychologybusinessBehavioral Research
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New cut-off criterion for uninformative variable elimination in multivariate calibration of near-infrared spectra for the determination of heroin in …

2008

A new cut-off criterion has been proposed for the selection of uninformative variables prior to chemometric partial least squares (PLS) modelling. After variable elimination, PLS regressions were made and assessed comparing the results with those obtained by PLS models based on the full spectral range. To assess the prediction capabilities, uninformative variable elimination (UVE)-PLS and PLS were applied to diffuse reflectance near-infrared spectra of heroin samples. The application of the proposed new cut-off criterion, based on the t-Students distribution, provided similar predictive capabilities of the PLS models than those obtained using the original criteria based on quantile value. H…

Multivariate analysisModels StatisticalSpectroscopy Near-InfraredChemistryIllicit DrugsRepeatabilityBiochemistryAnalytical ChemistryChemometricsHeroinModels ChemicalPartial least squares regressionStatisticsCalibrationCalibrationRange (statistics)Environmental ChemistryCluster AnalysisComputer SimulationVariable eliminationSpectroscopyQuantileAnalytica chimica acta
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Diagnosis of damage to Norway spruce (Picea abies) through biochemical criteria

1995

Bioindication can be carried out at different hierarchical levels, eg. cell, organism, and ecosystem. While the monitoring of damage by visible criteria (e.g. loss of needles) is connected with the organism as a whole, the monitoring of damage by biochemical indicators is above all connected with cell metabolism. The degree of vitality of a tree can be ascertained through the integration of a number of biochemical parameters. Furthermore, a differential diagnosis of a particular stress pattern can be carried out because of the feedback pattern of several biochemical indicators. In order to describe and interpret biochemical or physiological changes that have been caused by a number of facto…

Multivariate analysisbiologyPhysiologyEcologyfungifood and beveragesPicea abiesCell BiologyPlant ScienceGeneral MedicineComputational biologybiology.organism_classificationLinear discriminant analysisBiomarker (cell)GeneticsStatistical analysisMultivariate statisticalOrganismPhysiologia Plantarum
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On the interplay between multiscaling and stocks dependence

2019

We find a nonlinear dependence between an indicator of the degree of multiscaling of log-price time series of a stock and the average correlation of the stock with respect to the other stocks traded in the same market. This result is a robust stylized fact holding for different financial markets. We investigate this result conditional on the stocks' capitalization and on the kurtosis of stocks' log-returns in order to search for possible confounding effects. We show that a linear dependence with the logarithm of the capitalization and the logarithm of kurtosis does not explain the observed stylized fact, which we interpret as being originated from a deeper relationship.

Multivariate propertiePhysics::Physics and SocietyStatistical Finance (q-fin.ST)050208 financeUnivariate properties05 social sciencesQuantitative Finance - Statistical FinanceFOS: Economics and businessMultiscalingNonlinear systemUnivariate propertieComputer Science::Computational Engineering Finance and Science0502 economics and businessEconometrics050207 economicsDependenceGeneral Economics Econometrics and FinanceFinanceStock (geology)Mathematics
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Embedding Quantum into Classical: Contextualization vs Conditionalization

2014

We compare two approaches to embedding joint distributions of random variables recorded under different conditions (such as spins of entangled particles for different settings) into the framework of classical, Kolmogorovian probability theory. In the contextualization approach each random variable is "automatically" labeled by all conditions under which it is recorded, and the random variables across a set of mutually exclusive conditions are probabilistically coupled (imposed a joint distribution upon). Analysis of all possible probabilistic couplings for a given set of random variables allows one to characterize various relations between their separate distributions (such as Bell-type ine…

Multivariate random variableFOS: Physical scienceslcsh:MedicineStability (probability)Joint probability distributionFOS: MathematicsMixture distributionStatistical physicslcsh:ScienceInverse distributionQuantum MechanicsProbabilityPhysicsta113Quantum PhysicsMultidisciplinaryModels StatisticalPhysicsProbability (math.PR)lcsh:RRandom Variables60A99 81P13Probability TheoryProbability DistributionAlgebra of random variablesEvents (Probability Theory)Sum of normally distributed random variablesPhysical SciencesQuantum Theorylcsh:QMarginal distributionQuantum EntanglementQuantum Physics (quant-ph)Mathematics - ProbabilityMathematicsResearch ArticlePlos One
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Structural invariants for the prediction of relative toxicities of polychloro dibenzo-p-dioxins and dibenzofurans

2004

Multivariate models are reported that can predict the relative toxicity of compounds with severe environmental impact, namely polychloro dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs). Multiple linear regression analysis (MLR) and partial least square projections of latent variables (PLS) show the usefulness of graph-theoretical descriptors, mainly topological charge indices (TCIs), in these series. The general trends of the group are correctly reproduced and better results are presented than have previously been published. In general, the more toxic compounds exhibit more symmetric molecular structures.

Multivariate statisticsCarcinoma HepatocellularPolychlorinated DibenzodioxinsRelative toxicityQuantitative Structure-Activity RelationshipLatent variableDioxinsCatalysisInorganic ChemistryToxicologyComputational chemistryDrug DiscoveryLinear regressionCytochrome P-450 CYP1A1AnimalsSoil PollutantsLeast-Squares AnalysisPhysical and Theoretical ChemistryMolecular BiologyBenzofuransModels StatisticalChemistryOrganic ChemistryReproducibility of Resultsfood and beveragesNeoplasms ExperimentalGeneral MedicineModels TheoreticalRatsDisease Models AnimalModels ChemicalDrug DesignMultivariate AnalysisLinear ModelsEnvironmental PollutantsMultiple linear regression analysisInformation SystemsMolecular Diversity
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