Search results for " statistica"

showing 10 items of 2672 documents

Liquid-vapour phase behaviour of a symmetrical binary fluid mixture

1998

Using Monte-Carlo simulation and mean field calculations, we study the liquid-vapour phase diagram of a square well binary fluid mixture as a function of a parameter $\delta$ measuring the relative strength of interactions between particles of dissimilar and similar species. The results reveal a rich variety of liquid-vapour coexistence behaviour as $\delta$ is tuned. Specifically, we uncover critical end point behaviour, a triple point involving a vapour and two liquids of different density, and tricritical behaviour. For a certain range of $\delta$, the mean field calculations also predict a `hidden' (metastable) liquid-vapour binodal.

BinodalPhysicsStatistical Mechanics (cond-mat.stat-mech)Triple pointMonte Carlo methodThermodynamicsFOS: Physical sciencesFunction (mathematics)Condensed Matter::Soft Condensed MatterPhysics::Fluid DynamicsTricritical pointMetastabilityPhase (matter)Condensed Matter - Statistical MechanicsPhase diagram
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The droplet evaporation/condensation transition in a finite volume

2003

A fluid in the NVT ensemble at T less than the critical temperature T_c and rho = N/V somewhat in excess of rho_coex (density of the saturated gas in the gas-liquid transition) is considered. For V->infinity, a macroscopic liquid droplet coexists with surrounding saturated gas according to the lever rule. For finite V, droplets can only exist if they exceed a minimum size. A (rounded) first order transition of the system occurs when the droplet evaporates into the supersaturated gas.Simulation evidence for this transition is given for a Lennard-Jones model and interpreted by a phenomenological theory. At the transition, the chemical potential difference mu_t-mu_coex scales like L^(-d/(d+…

BinodalPhysicsSupersaturationFinite volume methodStatistical Mechanics (cond-mat.stat-mech)CondensationThermodynamicsFOS: Physical sciencesStatistical mechanicsCondensed Matter - Soft Condensed MatterPhysics::Fluid DynamicsVolume (thermodynamics)Vapor–liquid equilibriumSoft Condensed Matter (cond-mat.soft)Lever ruleCondensed Matter - Statistical Mechanics
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Biogenic Selenium Nanoparticles: A Fine Characterization to Unveil Their Thermodynamic Stability

2021

Among the plethora of available metal(loid) nanomaterials (NMs), those containing selenium are interesting from an applicative perspective, due to their high biocompatibility. Microorganisms capable of coping with toxic Se-oxyanions generate mostly Se nanoparticles (SeNPs), representing an ideal and green alternative over the chemogenic synthesis to obtain thermodynamically stable NMs. However, their structural characterization, in terms of biomolecules and interactions stabilizing the biogenic colloidal solution, is still a black hole that impairs the exploitation of biogenic SeNP full potential. Here, spherical and thermodynamically stable SeNPs were produced by a metal(loid) tolerant Mic…

BiocompatibilityGeneral Chemical EngineeringNanoparticle02 engineering and technologyDFT calculationsArticleMicrococcusNanomaterials03 medical and health sciencesAdsorptionbiogenic selenium nanoparticlesMoleculeGeneral Materials ScienceFourier transform infrared spectroscopyQD1-999030304 developmental biologymultivariate statistical analysischemistry.chemical_classification0303 health sciencesBiomolecule021001 nanoscience & nanotechnologyChemistryFTIR spectroscopychemistryChemical engineering<i>Micrococcus</i>thermodynamic stabilityChemical stabilityselenium nanorods0210 nano-technologyNanomaterials
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The rise of the middle author: Investigating collaboration and division of labor in biomedical research using partial alphabetical authorship

2017

Contemporary biomedical research is performed by increasingly large teams. Consequently, an increasingly large number of individuals are being listed as authors in the bylines, which complicates the proper attribution of credit and responsibility to individual authors. Typically, more importance is given to the first and last authors, while it is assumed that the others (the middle authors) have made smaller contributions. However, this may not properly reflect the actual division of labor because some authors other than the first and last may have made major contributions. In practice, research teams may differentiate the main contributors from the rest by using partial alphabetical author…

Biomedical ResearchEconomicslcsh:MedicineSocial SciencesDatabase and Informatics MethodsMathematical and Statistical TechniquesMedicine and Health SciencesMedicinePsychologyAlphabetical orderCooperative Behaviorlcsh:ScienceLanguageMultidisciplinaryCareers05 social sciencesResearch AssessmentPublic relationsResearch PersonnelResearch DesignPublishingPhysical SciencesListing (finance)Information Technology050904 information & library sciencesSequence AnalysisStatistics (Mathematics)Period (music)Division of labourResearch ArticleEmploymentComputer and Information SciencesBioinformaticsBibliometricsResearch and Analysis Methods050905 science studiesDatabasesHumansStatistical MethodsPublishingOperationalizationbusiness.industryField (Bourdieu)lcsh:RCognitive PsychologyBiology and Life SciencesRelational DatabasesAuthorshipBibliometricsLabor EconomicsCognitive Sciencelcsh:QClinical Medicine0509 other social sciencesAttributionbusinessMathematicsForecastingNeurosciencePLOS ONE
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Procedimento estratégico em três estágios de seleção de variáveis para a obtenção de resultados equilibrados na pesquisa em saúde pública

2018

Multidisciplinary research in public health is approached using methods from many scientific disciplines. One of the main characteristics of this type of research is dealing with large data sets. Classic statistical variable selection methods, known as “screen and clean”, and used in a single-step, select the variables with greater explanatory weight in the model. These methods, commonly used in public health research, may induce masking and multicollinearity, excluding relevant variables for the experts in each discipline and skewing the result. Some specific techniques are used to solve this problem, such as penalized regressions and Bayesian statistics, they offer more balanced results a…

Biomedical ResearchStatistics as TopicInterdisciplinary Researchlcsh:MedicineMétodosInterdisciplinary researchPesquisa Interdisciplinar01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineMethodsEstadística como AsuntoInvestigación InterdisciplinariaHumans030212 general & internal medicine0101 mathematicsEstatística como AssuntoModels StatisticalStatistics as topiclcsh:Public aspects of medicinelcsh:RPublic Health Environmental and Occupational HealthReproducibility of Resultslcsh:RA1-1270Reference StandardsResearch DesignRegression AnalysisPublic Health
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Evaluating the effect of organization and context on technical efficiency: a second-stage DEA analysis of Italian hospitals

2022

Objective: the purpose of this study was to compare the technical efficiency of Italian hospitals at a regional level and to examine if differences could be explained by organisational and contextual factors. Technical efficiency was defined as the ability of the operating units evaluated to use optimal resource levels for their level of output.Methods: the effect of external factors was explored through a second stage Data Envelopment Analysis (DEA). Efficiency scores were calculated for each hospital using the DEA method (Stage I). Through Tobit regression analysis, the estimated efficiency scores were regressed against a set of organisational and contextual characteristics beyond manager…

Biostatistics; Quality Evaluation in Healthcare; Public Healthlcsh:R5-920Hospital efficiencySecond-stage DEA; Tobit regression; Hospital efficiency; Organization; ContextSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologicabusiness.industrylcsh:Public aspects of medicineContextDistribution (economics)lcsh:RA1-1270Context (language use)Population demographicsStage iiSettore MED/42 - Igiene Generale E ApplicataSettore MED/01 - Statistica MedicaSecond-stage DEAResource (project management)StatisticsData envelopment analysisTobit modelStage (hydrology)lcsh:Medicine (General)businessOrganizationTobit regressionEpidemiology, Biostatistics, and Public Health
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Atypical Antipsychotics in the Treatment of Acute Bipolar Depression with Mixed Features: A Systematic Review and Exploratory Meta-Analysis of Placeb…

2016

Evidence supporting the use of second generation antipsychotics (SGAs) in the treatment of acute depression with mixed features (MFs) associated with bipolar disorder (BD) is scarce and equivocal. Therefore, we conducted a systematic review and preliminary meta-analysis investigating SGAs in the treatment of acute BD depression with MFs. Two authors independently searched major electronic databases from 1990 until September 2015 for randomized (placebo-) controlled trials (RCTs) or open-label clinical trials investigating the efficacy of SGAs in the treatment of acute bipolar depression with MFs. A random-effect meta-analysis calculating the standardized mean difference (SMD) between SGA an…

Bipolar DisorderManic-depressive illness--Treatmentmeta-analysilcsh:ChemistryClinical trials0302 clinical medicineManic-depressive illnessAsenapineAntipsychotic drugslcsh:QH301-705.5Spectroscopydiagnostic and statistical manual for mental disorders fifth edition (DSM-5)PsychiatryDepressionBrief ReportGeneral MedicineComputer Science ApplicationsTreatment OutcomeMeta-analysismixed featureHumanmedicine.drugAntipsychotic Agentsmedicine.medical_specialtyAcute bipolar depression; Diagnostic and statistical manual for mental disorders fifth edition (DSM-5); Meta-analysis; Mixed features; Second generation antipsychotic (SGA); Systematic-review; Physical and Theoretical Chemistry; Organic Chemistry; Spectroscopy; Inorganic Chemistry; Catalysis; Molecular BiologyYoung Mania Rating ScalePlaceboCatalysisInorganic Chemistry03 medical and health sciencessystematic-reviewInternal medicinemedicineHumansZiprasidoneBipolar disorderPhysical and Theoretical ChemistryPsychiatryMolecular BiologyLurasidonemixed featuresbusiness.industryOrganic Chemistrysecond generation antipsychotic (SGA)acute bipolar depressionmedicine.disease030227 psychiatrymeta-analysisAntipsychotic Agentlcsh:Biology (General)lcsh:QD1-999QuetiapineControlled Clinical Trials as Topicbusiness030217 neurology & neurosurgeryInternational Journal of Molecular Sciences
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Factor analyses of multidimensional symptoms in a large group of patients with major depressive disorder, bipolar disorder, schizoaffective disorder …

2020

Abstract Background There is an ongoing discussion about which neurobiological correlates or symptoms separate the major psychoses (i.e. Major Depressive Disorder MDD, Bipolar Disorder BD, and Schizophrenia SZ). Psychopathological factor analyses within one of these disorders have resulted in models including one to five factors. Factor analyses across the major psychoses using a comprehensive set of psychopathological scales in the same patients are lacking. It is further unclear, whether hierarchical or unitarian models better summarize phenomena. Method Patients (n = 1182) who met DSM-IV criteria for MDD, BD, SZ or schizoaffective disorder were assessed with the SANS, SAPS, HAMA, HAM-D, …

Bipolar DisorderSchizoaffective disorder03 medical and health sciences0302 clinical medicineHumansMedicineBipolar disorderMedical diagnosisBiological PsychiatryPsychiatric Status Rating ScalesDepressive Disorder Majorbusiness.industrymedicine.diseaseConfirmatory factor analysis030227 psychiatryPsychiatry and Mental healthPsychotic DisordersSchizophreniaSchizophreniaMajor depressive disorderFactor Analysis StatisticalbusinessLarge group030217 neurology & neurosurgeryPsychopathologyClinical psychologySchizophrenia Research
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Entanglement dynamics in superconducting qubits affected by local bistable impurities

2012

We study the entanglement dynamics for two independent superconducting qubits each affected by a bistable impurity generating random telegraph noise (RTN) at pure dephasing. The relevant parameter is the ratio $g$ between qubit-RTN coupling strength and RTN switching rate, that captures the physics of the crossover between Markovian and non-Markovian features of the dynamics. For identical qubit-RTN subsystems, a threshold value $g_\mathrm{th}$ of the crossover parameter separates exponential decay and onset of revivals; different qualitative behaviors also show up by changing the initial conditions of the RTN. We moreover show that, for different qubit-RTN subsystems, when both qubits are …

BistabilityDephasingCrossoverquantum statistical methodEntanglement measures witnesses and other characterizations Decoherence; open systems; quantum statistical methods; Quantum computation architectures and implementationsFOS: Physical sciencesQuantum computation architectures and implementationsQuantum entanglement01 natural sciencesNoise (electronics)Settore FIS/03 - Fisica Della Materia010305 fluids & plasmasComputer Science::Emerging TechnologiesQuantum mechanics0103 physical sciencesExponential decay010306 general physicsMathematical PhysicsEntanglement measures witnesses and other characterizations DecoherencePhysicsQuantum PhysicsQuantum PhysicsCondensed Matter PhysicsAtomic and Molecular Physics and OpticsAmplitudeQubitopen systemQuantum Physics (quant-ph)
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A semi-parametric stochastic generator for bivariate extreme events

2017

The analysis of multiple extreme values aims to describe the stochastic behaviour of observations in the joint upper tail of a distribution function. For instance, being able to simulate multivariate extreme events is convenient for end users who need a large number of random replications of extremes as input of a given complex system to test its sensitivity. The simulation of multivariate extremes is often based on the assumption that the dependence structure, the so-called extremal dependence function, is described by a specific parametric model. We propose a simulation method for sampling bivariate extremes, under the assumption that the extremal dependence function is semiparametric. Th…

Bivariate extreme-value distributionAngular measurePickands dependence functionBernstein polynomialsGeneralized extreme-value distributionSettore SECS-S/01 - StatisticaExtremal dependencePoisson point processWind speed
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