Search results for " statistica"

showing 10 items of 2672 documents

The effects of lasers on bond strength to ceramic materials: A systematic review and meta-analysis

2018

Lasers have recently been introduced as an alternative means of conditioning dental ceramic surfaces in order to enhance their adhesive strength to cements and other materials. The present systematic review and meta-analysis aimed to review and quantitatively analyze the available literature in order to determine which bond protocols and laser types are the most effective. A search was conducted in the Pubmed, Embase and Scopus databases for papers published up to April 2017. PRISMA guidelines for systematic review and meta-analysis were followed. Fifty-two papers were eligible for inclusion in the review. Twenty-five studies were synthesized quantitatively. Lasers were found to increase bo…

CeramicsHigh variabilitylcsh:MedicineMaterials testinglaw.inventionAdhesion strength030207 dermatology & venereal diseasesMathematical and Statistical Techniques0302 clinical medicinelawMaterials TestingCeramicComposite materiallcsh:ScienceMultidisciplinaryBond strengthResearch AssessmentSystematic reviewOptical Equipmentvisual_artMeta-analysisPhysical SciencesCementsvisual_art.visual_art_mediumEngineering and TechnologyStatistics (Mathematics)Research ArticleMaterials scienceSystematic ReviewsMaterials by StructureAmorphous SolidsMaterials ScienceEquipmentResearch and Analysis MethodsDental Materials03 medical and health sciencesBindersStatistical MethodsMaterials by AttributeSurface TreatmentsLaserslcsh:R030206 dentistryLaserManufacturing ProcessesComposite Materialslcsh:QGlassMathematicsMeta-AnalysisPLOS ONE
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Una procedura sequenziale di stima di punto di cambiamento

2008

In this paper we propose a sequential procedure for the estimation of a change-point when a change has occurred in the distribution that governs the process which generates the observations. The procedure applies whether the distribution functions involved are completely specified or they contain unknown parameters to be estimated. The procedure is based on the Kolmogorov-Smirnov test of goodness of fit, or an appropriate different test such as the chi-square test, and satisfies the optimality condition defined by the maximization of the sum of the p-values involved.

Change point sequential estimation p-values optimality conditionSettore SECS-S/01 - Statistica
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Change-point estimation in piecewise constant regression models and extensions

2015

Change-point iterative algorithm random effects linear change-pointSettore SECS-S/01 - Statistica
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A Multivariate Approach to Study the Bacterial Diversity Associated to the Wooden Shelves Used for Aging Traditional Sicilian Cheeses.

2022

The present study was carried to correlate the microbial diversity of the biofilms developed on the wooden boards used for aging traditional Sicilian cheeses with cheese typology. To this end, the microbial diversity of the shelves in contact with the cheeses PDO Pecorino Siciliano, PDO Piacentinu Ennese, and TAP Caciocavallo Palermitano, during ripening, was evaluated by a multivariate statistical approach. The shelf biofilms of this study were previously analyzed for their microbial composition, but no correlation between biodiversity and cheese type was investigated. Canonical discriminant analysis confirmed a cheese typology effect on the microbial loads of the wooden shelves investigat…

Cheese microbiology Cheese ripening Lactic acid bacteria MiSeq Illumina Statistical analysis Traditional cheeses Wooden shelvesSettore AGR/19 - Zootecnica SpecialeHealth (social science)Settore AGR/18 - Nutrizione E Alimentazione AnimalePlant Sciencecheese microbiology; cheese ripening; lactic acid bacteria; MiSeq Illumina; statistical analysis; traditional cheeses; wooden shelvesHealth Professions (miscellaneous)MicrobiologyFood ScienceSettore AGR/16 - Microbiologia AgrariaFoods (Basel, Switzerland)
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Inverse simulated annealing for the determination of amorphous structures

2013

We present a new and efficient optimization method to determine the structure of disordered systems in agreement with available experimental data. Our approach permits the application of accurate electronic structure calculations within the structure optimization. The new technique is demonstrated within density functional theory by the calculation of a model of amorphous carbon.

Chemical Physics (physics.chem-ph)Condensed Matter - Materials ScienceMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Structure (category theory)Experimental dataInverseMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesElectronic structureDisordered Systems and Neural Networks (cond-mat.dis-nn)Computational Physics (physics.comp-ph)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsMolecular physicsElectronic Optical and Magnetic MaterialsAmorphous solidAmorphous carbonPhysics - Chemical PhysicsSimulated annealingDensity functional theoryPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Ab-Initio Molecular Dynamics

2012

Computer simulation methods, such as Monte Carlo or Molecular Dynamics, are very powerful computational techniques that provide detailed and essentially exact information on classical many-body problems. With the advent of ab-initio molecular dynamics, where the forces are computed on-the-fly by accurate electronic structure calculations, the scope of either method has been greatly extended. This new approach, which unifies Newton's and Schr\"odinger's equations, allows for complex simulations without relying on any adjustable parameter. This review is intended to outline the basic principles as well as a survey of the field. Beginning with the derivation of Born-Oppenheimer molecular dynam…

Chemical Physics (physics.chem-ph)Condensed Matter - Materials ScienceStatistical Mechanics (cond-mat.stat-mech)Physics - Chemical PhysicsMaterials Science (cond-mat.mtrl-sci)Soft Condensed Matter (cond-mat.soft)FOS: Physical sciencesComputational Physics (physics.comp-ph)Condensed Matter - Soft Condensed MatterPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Nuclear quantum effects in liquid water from path-integral simulations using anab initioforce-matching approach

2014

We have applied path integral simulations, in combination with new ab initio based water potentials, to investigate nuclear quantum effects in liquid water. Because direct ab initio path integral simulations are computationally expensive, a flexible water model is parameterized by force-matching to density functional theory-based molecular dynamics simulations. The resulting effective potentials provide an inexpensive replacement for direct ab inito molecular dynamics simulations and allow efficient simulation of nuclear quantum effects. Static and dynamic properties of liquid water at ambient conditions are presented and the role of nuclear quantum effects, exchange-correlation functionals…

Chemical Physics (physics.chem-ph)PhysicsStatistical Mechanics (cond-mat.stat-mech)Liquid waterBiophysicsAb initioFOS: Physical sciencesComputational Physics (physics.comp-ph)Condensed Matter - Soft Condensed MatterCondensed Matter PhysicsMolecular dynamicsForce matchingPhysics - Chemical PhysicsQuantum mechanicsDispersion (optics)Path integral formulationWater modelSoft Condensed Matter (cond-mat.soft)Density functional theoryPhysical and Theoretical ChemistryPhysics - Computational PhysicsMolecular BiologyCondensed Matter - Statistical MechanicsMolecular Physics
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Cavity-induced bifurcation in classical rate theory

2022

We show how coupling an ensemble of bistable systems to a common cavity field affects the collective stochastic behavior of this ensemble. In particular, the cavity provides an effective interaction between the systems, and parametrically modifies the transition rates between the metastable states. We predict that the cavity induces a collective phase transition at a critical temperature which depends linearly on the number of systems. It shows up as a spontaneous symmetry breaking where the stationary states of the bistable system bifurcate. We observe that the transition rates slow down independently of the phase transition, but the rate modification vanishes for alternating signs of the …

Chemical Physics (physics.chem-ph)Quantum PhysicsStatistical Mechanics (cond-mat.stat-mech)Physics - Chemical PhysicsFOS: Physical sciencesPhysics::OpticsQuantum Physics (quant-ph)Condensed Matter - Statistical Mechanics
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Recent achievements in ab initio modelling of liquid water

2013

The application of newly developed first-principle modeling techniques to liquid water deepens our understanding of the microscopic origins of its unusual macroscopic properties and behaviour. Here, we review two novel ab initio computational methods: second-generation Car-Parrinello molecular dynamics and decomposition analysis based on absolutely localized molecular orbitals. We show that these two methods in combination not only enable ab initio molecular dynamics simulations on previously inaccessible time and length scales, but also provide unprecedented insights into the nature of hydrogen bonding between water molecules. We discuss recent applications of these methods to water cluste…

Chemical Physics (physics.chem-ph)Statistical Mechanics (cond-mat.stat-mech)Biological Physics (physics.bio-ph)Physics - Chemical PhysicsSoft Condensed Matter (cond-mat.soft)FOS: Physical sciencesPhysics - Biological PhysicsComputational Physics (physics.comp-ph)Condensed Matter - Soft Condensed MatterPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Levy flights in confining environments: Random paths and their statistics

2013

We analyze a specific class of random systems that are driven by a symmetric L\'{e}vy stable noise. In view of the L\'{e}vy noise sensitivity to the confining "potential landscape" where jumps take place (in other words, to environmental inhomogeneities), the pertinent random motion asymptotically sets down at the Boltzmann-type equilibrium, represented by a probability density function (pdf) $\rho_*(x) \sim \exp [-\Phi (x)]$. Since there is no Langevin representation of the dynamics in question, our main goal here is to establish the appropriate path-wise description of the underlying jump-type process and next infer the $\rho (x,t)$ dynamics directly from the random paths statistics. A pr…

Chemical Physics (physics.chem-ph)Statistics and ProbabilityPhysicsStatistical Mechanics (cond-mat.stat-mech)LogarithmFOS: Physical sciencesProbability density functionContext (language use)Mathematical Physics (math-ph)Function (mathematics)Condensed Matter PhysicsStability (probability)Lévy flightPhysics - Chemical PhysicsPhysics - Data Analysis Statistics and ProbabilityStatisticsMaster equationInvariant (mathematics)Data Analysis Statistics and Probability (physics.data-an)Condensed Matter - Statistical MechanicsMathematical Physics
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