Search results for "Note"

showing 10 items of 10709 documents

A model-based approach to Spotify data analysis: a Beta GLMM

2020

Digital music distribution is increasingly powered by automated mechanisms that continuously capture, sort and analyze large amounts of Web-based data. This paper deals with the management of songs audio features from a statistical point of view. In particular, it explores the data catching mechanisms enabled by Spotify Web API and suggests statistical tools for the analysis of these data. Special attention is devoted to songs popularity and a Beta model, including random effects, is proposed in order to give the first answer to questions like: which are the determinants of popularity? The identification of a model able to describe this relationship, the determination within the set of char…

Statistics and ProbabilityBeta GLMMDistribution (number theory)Computer scienceApplication Notes0211 other engineering and technologies02 engineering and technologycomputer.software_genreWeb API01 natural sciencesSet (abstract data type)010104 statistics & probabilitySpotify Web API audio features Popularity Index Beta GLMMsortSpotify Web API0101 mathematicsDigital audio021103 operations researchPoint (typography)Random effects modelData sciencePopularityIdentification (information)Popularity IndexData miningStatistics Probability and Uncertaintycomputeraudio feature
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Acceleration of short and long DNA read mapping without loss of accuracy using suffix array

2014

HPG Aligner applies suffix arrays for DNA read mapping. This implementation produces a highly sensitive and extremely fast mapping of DNA reads that scales up almost linearly with read length. The approach presented here is faster (over 20 for long reads) and more sensitive (over 98% in a wide range of read lengths) than the current state-of-the-art mappers. HPG Aligner is not only an optimal alternative for current sequencers but also the only solution available to cope with longer reads and growing throughputs produced by forthcoming sequencing technologies.

Statistics and ProbabilityComputer scienceSequence analysisSequence alignmentdatabase searchescomputer.software_genreBiochemistrylaw.inventionAccelerationchemistry.chemical_compoundlawCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALAnimalsHumansMolecular BiologyDatabasesequencing dataSuffix arraySequence analysisHigh-Throughput Nucleotide SequencingalignmentSequence Analysis DNAApplications NotesComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicschemistryDrosophilaSuffixSequence AlignmentcomputerAlgorithmAlgorithmsSoftwareDNA
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Preface: Special Issue on Structure in Glassy and Jammed Systems

2016

This special issue presents new developments in our understanding of the role of structure in dynamical arrest and jamming. Articles highlight local geometric motifs and other forms of amorphous order, in experiment, computer simulation and theory.

Statistics and ProbabilityComputer scienceStructure (category theory)Statistical and Nonlinear PhysicsJamming02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesAmorphous solidOrder (business)0103 physical sciencesStatistical physicsStatistics Probability and Uncertainty010306 general physics0210 nano-technologyJournal of Statistical Mechanics: Theory and Experiment
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Migration and students' performance: detecting geographical differences following a curves clustering approach

2020

Students’ migration mobility is the new form of migration: students migrate to improve their skills and become more valued for the job market. The data regard the migration of Italian Bachelors who enrolled at Master Degree level, moving typically from poor to rich areas. This paper investigates the migration and other possible determinants on the Master Degree students’ performance. The Clustering of Effects approach for Quantile Regression Coefficients Modelling has been used to cluster the effects of some variables on the students’ performance for three Italian macro-areas. Results show evidence of similarity between Southern and Centre students, with respect to the Northern ones.

Statistics and ProbabilityComputingMilieux_THECOMPUTINGPROFESSIONApplication NotesComputer scienceClustering of curveeducationJob marketQuantile regressionCensored and truncated dataQuantile regressionComputingMilieux_COMPUTERSANDEDUCATIONEconometricsSettore SECS-S/05 - Statistica SocialeStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaCluster analysisStudents’performanceJournal of Applied Statistics
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Stochastic model for the epitaxial growth of two-dimensional islands in the submonolayer regime

2016

The diffusion-based growth of islands composed of clusters of metal atoms on a substrate is considered in the aggregation regime. A stochastic approach is proposed to describe the dynamics of island growth based on a Langevin equation with multiplicative noise. The distribution of island sizes, obtained as a solution of the corresponding Fokker-Planck equation, is derived. The time-dependence of island growth on its fractal dimension is analysed. The effect of mobility of the small islands on the growth of large islands is considered. Numerical simulations are in a good agreement with theoretical results.

Statistics and ProbabilityMaterials scienceCondensed matter physicsStochastic modellingStatistical and Nonlinear Physics02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesdiffusion-limited aggregation (theory)0103 physical sciencesstochastic processes (theory) diffusionStatistics Probability and Uncertaintydendritic growth (theory)010306 general physics0210 nano-technologydendritic growth (theory); diffusion-limited aggregation (theory); stochastic processes (theory) diffusion; Statistics and Probability; Statistical and Nonlinear Physics; Statistics Probability and UncertaintyStatistical and Nonlinear PhysicJournal of Statistical Mechanics: Theory and Experiment
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Polydisperse hard spheres: crystallization kinetics in small systems and role of local structure

2016

We study numerically the crystallization of a hard-sphere mixture with 8\% polydispersity. Although often used as a model glass former, for small system sizes we observe crystallization in molecular dynamics simulations. This opens the possibility to study the competition between crystallization and structural relaxation of the melt, which typically is out of reach due to the disparate timescales. We quantify the dependence of relaxation and crystallization times on density and system size. For one density and system size we perform a detailed committor analysis to investigate the suitability of local structures as order parameters to describe the crystallization process. We find that local…

Statistics and ProbabilityMaterials scienceDispersityFOS: Physical sciencesStatistical and Nonlinear Physics02 engineering and technologyHard spheresCondensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnology01 natural sciencesBond orderlaw.inventionReaction coordinateCrystallization kineticsMolecular dynamicsChemical physicslaw0103 physical sciencesSoft Condensed Matter (cond-mat.soft)Relaxation (physics)Statistics Probability and UncertaintyCrystallization010306 general physics0210 nano-technologyJournal of Statistical Mechanics: Theory and Experiment
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To make a glass—avoid the crystal

2016

Colloidal model systems allow for a flexible tuning of particle sizes, particle spacings and mutual interactions at constant temperature. Colloidal suspensions typically crystallize as soon as the interactions get sufficiently strong and long-ranged. Several strategies have been successfully applied to avoid crystallization and instead produce colloidal glasses. Most of these amorphous solids are formed at high particle concentrations. This paper shortly reviews experimental attempts to produce amorphous colloidal solids using strategies based on topological, thermodynamic and kinetic considerations. We complement this overview by introducing a (transient) amorphous solid forming in a thoro…

Statistics and ProbabilityMaterials scienceFOS: Physical sciencesStatistical and Nonlinear Physics02 engineering and technologyCondensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnologyKinetic energy01 natural sciencesAqueous suspensionlaw.inventionAmorphous solidCondensed Matter::Soft Condensed MatterCrystalColloidlawChemical physics0103 physical sciencesSoft Condensed Matter (cond-mat.soft)ParticleSPHERESStatistics Probability and UncertaintyCrystallization010306 general physics0210 nano-technologyJournal of Statistical Mechanics: Theory and Experiment
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Noise-induced resonance-like phenomena in InP crystals embedded in fluctuating electric fields

2016

We explore and discuss the complex electron dynamics inside a low-doped n-type InP bulk embedded in a sub-THz electric field, fluctuating for the superimposition of an external source of Gaussian correlated noise. The results presented in this study derive from numerical simulations obtained by means of a multi-valley Monte Carlo approach to simulate the nonlinear transport of electrons inside the semiconductor crystal. The electronic noise characteristics are statistically investigated by calculating the correlation function of the velocity fluctuations, its spectral density and the integrated spectral density, i.e. the total noise power, for different values of both amplitude and frequenc…

Statistics and ProbabilityNoise powerField (physics)02 engineering and technologyElectron01 natural sciencesNoise (electronics)Settore FIS/03 - Fisica Della MateriaBoltzmann equationsymbols.namesakeCorrelation functionElectric fieldQuantum mechanics0103 physical sciencesstochastic particle dynamics (theory)010306 general physicsfluctuations (theory)Physicstransport properties (theory)Statistical and Nonlinear Physics021001 nanoscience & nanotechnologySettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computational physicsAmplitudeGaussian noisesymbolsStatistics Probability and Uncertainty0210 nano-technologyJournal of Statistical Mechanics: Theory and Experiment
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An Extended Filament Based Lamellipodium Model Produces Various Moving Cell Shapes in the Presence of Chemotactic Signals

2015

The Filament Based Lamellipodium Model (FBLM) is a two-phase two-dimensional continuum model, describing the dynamcis of two interacting families of locally parallel actin filaments (C.Schmeiser and D.Oelz, How do cells move? Mathematical modeling of cytoskeleton dynamics and cell migration. Cell mechanics: from single scale-based models to multiscale modeling. Chapman and Hall, 2010). It contains accounts of the filaments' bending stiffness, of adhesion to the substrate, and of cross-links connecting the two families. An extension of the model is presented with contributions from nucleation of filaments by branching, from capping, from contraction by actin-myosin interaction, and from a pr…

Statistics and ProbabilityNucleationNanotechnologymacromolecular substancesMyosinsBranching (polymer chemistry)Models BiologicalGeneral Biochemistry Genetics and Molecular BiologyPolymerizationQuantitative Biology::Cell BehaviorProtein filamentQuantitative Biology::Subcellular ProcessesCell Behavior (q-bio.CB)CoulombAnimalsComputer SimulationPseudopodiaCytoskeletonCell ShapeActinPhysicsGeneral Immunology and MicrobiologyApplied MathematicsChemotaxisChemotaxisNumerical Analysis Computer-AssistedGeneral Medicine92C17Actin CytoskeletonClassical mechanicsModeling and SimulationFOS: Biological sciencesQuantitative Biology - Cell BehaviorLamellipodiumGeneral Agricultural and Biological SciencesSignal Transduction
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The distribution of velocities in an ensemble of accelerated particles on a surface

2016

An ensemble of particles diffusing with acceleration on a surface is considered as a 2D billiard system. The process of the finite-time diffusion of particles is studied using the balance equation. The probability distribution functions of the velocity and lifetime of particles are obtained analytically and by means of numerical simulations. A thermodynamic interpretation of the process is discussed. The effective temperature and entropy obey the relationship for an ideal gas.

Statistics and ProbabilityPhysicsIsothermal–isobaric ensembleStatistical and Nonlinear Physics02 engineering and technologyMechanicsEffective temperature021001 nanoscience & nanotechnology01 natural sciencesIdeal gas0103 physical sciencesOpen statistical ensembleBalance equationProbability distributionStatistical physicsStatistics Probability and UncertaintyDynamical billiards010306 general physics0210 nano-technologyJournal of Statistical Mechanics: Theory and Experiment
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