Search results for "Application Note"

showing 3 items of 3 documents

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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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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BANΔIT: B’‐factor Analysis for Drug Design and Structural Biology

2020

The analysis of B‐factor profiles from X‐ray protein structures can be utilized for structure‐based drug design since protein mobility changes have been associated with the quality of protein‐ligand interactions. With the BANΔIT (B’‐factor analysis and ΔB’ interpretation toolkit), we have developed a JavaScript‐based browser application that provides a graphical user interface for the normalization and analysis of B’‐factor profiles. To emphasize the usability for rational drug design applications, we have analyzed a selection of crystallographic protein‐ligand complexes and have given exemplary conclusions for further drug optimization including the development of a B’‐factor‐supported pha…

Normalization (statistics)Source codeComputer scienceBioinformaticsmedia_common.quotation_subjectDrug designB-factorMolecular modelingWeb BrowserJavaScriptcomputer.software_genre01 natural sciences03 medical and health sciencesStructural BiologyFactor (programming language)Drug DiscoveryApplication NoteHumansProtein flexibilityProtease Inhibitors030304 developmental biologycomputer.programming_languagemedia_commonGraphical user interface0303 health sciencesbusiness.industrySARS-CoV-2Organic ChemistryComputational BiologyUsabilityAdenosine Monophosphate0104 chemical sciencesComputer Science ApplicationsCOVID-19 Drug Treatment010404 medicinal & biomolecular chemistryDrug DesignMolecular MedicineData miningPharmacophorebusinesscomputerMolecular Informatics
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