Search results for "Principal component"

showing 10 items of 514 documents

The impact of criminality on the riskiness of cooperative credit banks in Italy: a macro regional approach

2017

In Italy, Cooperative Credit Banks (CCBs), unlike large banks, despite the economic downturn, have continued to extend credit to customers, but at the cost of a higher incidence of bad credit. This increased credit risk of local banks has been caused by management policy choices, such as preferring to modify the conditions applicable to credit supply and to engage firms in long-term credit relationships rather than initiating credit recovery procedures. The originality of this empirical analysis lies in its demonstration of the effects of environmental factors related to the spread of crime and lower economic well-being, higher unemployment and poverty in families on the credit market in So…

Crime Credit system in Italy local banks Regional gapslocal banksCrimeCredit system in ItalyCrime credit system in Italy local banks regional gaps principal componentsRegional gapsprincipal components
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Applying univariate vs. multivariate statistics to investigate therapeutic efficacy in (pre)clinical trials: A Monte Carlo simulation study on the ex…

2020

BackgroundSmall sample sizes combined with multiple correlated endpoints pose a major challenge in the statistical analysis of preclinical neurotrauma studies. The standard approach of applying univariate tests on individual response variables has the advantage of simplicity of interpretation, but it fails to account for the covariance/correlation in the data. In contrast, multivariate statistical techniques might more adequately capture the multi-dimensional pathophysiological pattern of neurotrauma and therefore provide increased sensitivity to detect treatment effects.ResultsWe systematically evaluated the performance of univariate ANOVA, Welch's ANOVA and linear mixed effects models ver…

Critical Care and Emergency MedicineScienceStatistics as TopicTest StatisticsGeometryResearch and Analysis Methods570 Life sciencesMathematical and Statistical TechniquesMedicine and Health SciencesHumansStatistical MethodsResearch ErrorsTrauma MedicinePrincipal Component AnalysisAnalysis of VarianceClinical Trials as TopicSimulation and ModelingStatisticsQRResearch AssessmentMonte Carlo methodEllipsesBrain InjuriesSample SizeMultivariate AnalysisPhysical SciencesMedicineTraumatic InjuryNeurotraumaMathematics570 BiowissenschaftenResearch ArticlePLoS ONE
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Self-perception about emerging digital skills in higher education students

2020

El mercado laboral actual exige nuevas cualidades y conocimientos a los recién egresados de las universidades, incluidas las habilidades digitales, no existiendo suficientes investigaciones sobre la autopercepción del estudiantado al respecto. El objetivo de esta investigación fue medir la percepción que el estudiantado tiene sobre sus propias habilidades digitales del siglo XXI, en relación con el uso de las tecnologías de la comunicación (TIC) en la Educación Superior. Se generó y aplicó un cuestionario a 356 estudiantes con la técnica de muestreo aleatorio estratificado. Se realizó un análisis de componentes principales avalado por valores adecuados del coeficiente Kaiser-Meyer-Olkin y d…

Cultural StudiesEncuestaPrincipal component analysis050801 communication & media studiesHabilidades digitales emergentesEnquestesTechnological literacyEducation0508 media and communicationsComputingMilieux_COMPUTERSANDEDUCATIONAnàlisi factorialHigher educationSurveyAnálisis factorialEmerging digital skillsTICCommunicationPhilosophyAutopercepción05 social sciencesAnálisis de componentes principales050301 educationSkill developmentSelf perceptionAnalisis factorialFactorial analysisICTEducación superiorFactorial analysisEducació0503 educationHumanitiesSelf-perception
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Embryonic stem cell differentiation studied by FT-IR spectroscopy

2007

We propose, here, an FT-IR method to monitor the spontaneous differentiation of murine embryonic stem (ES) cells in their early development. Principal component analysis and subsequent linear discriminant analysis enabled us to segregate stem cell spectra into separate clusters corresponding to different differentiation times - and to identify the most significant spectral changes during differentiation. Between days 4 to 7 of differentiation, these spectral changes in the protein amide I band (1700-1600 cm(-1)) and in the nucleic acid absorption region (1050-850 cm(-1)) indicated that mRNA translation was taking place and that specific proteins were produced, reflecting the appearance of a…

CytodifferentiationLinear discriminant analysisCellular differentiationlinear discriminant analysiPrincipal component analysisCardiomyocyteBiologychemistry.chemical_compoundMiceSpectroscopy Fourier Transform InfraredAnimalsMyocytes CardiacMolecular BiologyCell ShapeCells CulturedEmbryonic Stem CellsRNAProteinsFourier transform infrared spectroscopyCell DifferentiationCell BiologyEmbryonic stem cellPhenotypeAmidesCell biologyEmbryonic stem cellchemistryCell cultureMultivariate AnalysisNucleic acidStem cellDNABiochimica et Biophysica Acta (BBA) - Molecular Cell Research
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Effect of natamycin on the enumeration, genetic structure and composition of bacterial community isolated from soils and soybean rhizosphere

2004

Natamycin is commonly used to control fungal growth on agar media used for bacterial enumeration or strain isolation. However, there is no conclusive report on the possible effect of this antibiotic on bacterial growth or on the diversity of the recovered soil bacteria. Therefore, the possible effects of natamycin on the numbers of bacteria isolated at 12 degrees C from three different soils and soybean rhizosphere soil were investigated using natamycin concentrations ranging from 0 to 200 mg l(-1). Our results demonstrate that natamycin concentrations, which inhibit the growth of fungi on the media, have a small but significant inhibitory effect on the number of bacterial colony forming un…

DNA BacterialMicrobiology (medical)Antifungal Agentsfood.ingredientNatamycinRibosomal Intergenic Spacer analysisColony Count MicrobialBacterial growthBiologyPlant RootsMicrobiologyMicrobiologyBacterial genetics03 medical and health sciencesNatamycinfoodRNA Ribosomal 16SDNA Ribosomal SpacermedicineAgar[SDV.MP] Life Sciences [q-bio]/Microbiology and ParasitologyMolecular BiologySoil MicrobiologyComputingMilieux_MISCELLANEOUS030304 developmental biologyPrincipal Component Analysis0303 health sciencesRhizosphereBacteria030306 microbiologyGenetic VariationDNA Restriction Enzymesbiology.organism_classificationDNA Fingerprinting[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologySoybeansSoil microbiologyBacteriamedicine.drugJournal of Microbiological Methods
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Use of nodulation pattern, stress tolerance, nodC gene amplification, RAPD-PCR and RFLP-16S rDNA analysis to discriminate genotypes of Rhizobium legu…

2005

Twenty-seven new Rhizobium isolates were obtained from root nodules of wild and crop legumes belonging to the genera Vicia, Lathyrus and Pisum from different agroecological areas in central and southern Italy. A polyphasic approach including phenotypic and genotypic techniques was used to study their diversity and their relationships with other biovars and species of rhizobia. Analysis of symbiotic properties and stress tolerance tests revealed that wild isolates, showed a wide spectrum of nodulation and a marked variation in stress tolerance compared with reference strains tested in this study. All rhizobial isolates (except for the isolate CG4 from Galega officinalis) were presumptively i…

DNA BacterialRoot noduleGenotypeStress toleranceBiologymedicine.disease_causeN-AcetylglucosaminyltransferasesApplied Microbiology and BiotechnologyMicrobiologyDNA RibosomalPolymerase Chain ReactionMediterranean areaRhizobium leguminosarumRhizobiaBacterial ProteinsRhizobium leguninosarumNodC geneStress toleranceWild legumesStrains diversityMediterranean areaSymbiotic characteristicsRNA Ribosomal 16SmedicineSymbiosisEcology Evolution Behavior and SystematicsGeneticsPrincipal Component AnalysisRhizobium leguminosarumfood and beveragesFabaceaeNucleic acid amplification techniqueNodC geneHydrogen-Ion ConcentrationRhizobium leguninosarum16S ribosomal RNAbiology.organism_classificationStrains diversitySymbiotic characteristicsRAPDBacterial Typing TechniquesRandom Amplified Polymorphic DNA TechniqueRhizobiumWild legumeRestriction fragment length polymorphismNucleic Acid Amplification TechniquesPolymorphism Restriction Fragment LengthSettore AGR/16 - Microbiologia Agraria
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Polar Classification of Nominal Data

2013

Many modern systems record various types of parameter values. Numerical values are relatively convenient for data analysis tools because there are many methods to measure distances and similarities between them. The application of dimensionality reduction techniques for data sets with such values is also a well known practice. Nominal (i.e., categorical) values, on the other hand, encompass some problems for current methods. Most of all, there is no meaningful distance between possible nominal values, which are either equal or unequal to each other. Since many dimensionality reduction methods rely on preserving some form of similarity or distance measure, their application to such data sets…

Data setSimilarity (geometry)Computer scienceDimensionality reductionPrincipal component analysisDiffusion mapCluster analysisMeasure (mathematics)Categorical variableAlgorithm
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Principal component analysis on molecular descriptors as an alternative point of view in the search of new Hsp90 inhibitors

2009

Inhibiting a protein that regulates multiple signal transduction pathways in cancer cells is an attractive goal for cancer therapy. Heat shock protein 90 (Hsp90) is one of the most promising molecular targets for such an approach. In fact, Hsp90 is a ubiquitous molecular chaperone protein that is involved in folding, activating and assembling of many key mediators of signal transduction, cellular growth, differentiation, stress-response and apoptothic pathways. With the aim to analyze which molecular descriptors have the higher importance in the binding interactions of these classes, we first performed molecular docking experiments on the 187 Hsp90 inhibitors included in the BindingDB, a pu…

Databases FactualProtein ConformationDrug Evaluation PreclinicalCancer therapyPrincipal component analysiNaphtholsBiochemistryBinding databaseMolecular descriptorsStructure-Activity RelationshipStructural BiologyMolecular descriptorHeat shock proteinComputer SimulationHSP90 Heat-Shock ProteinsPrincipal Component AnalysisBinding SitesbiologyHeat shock proteinOrganic ChemistryComputational BiologyIsoxazolesHsp90Settore CHIM/08 - Chimica FarmaceuticaComputational MathematicsBiochemistryPurinesDocking (molecular)Principal component analysisMolecular dockingbiology.proteinPyrazolesBindingDBSignal transduction
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Increasing the Coverage of Medicinal Chemistry-Relevant Space in Commercial Fragments Screening

2014

Analyzing the chemical space coverage in commercial fragment screening collections revealed the overlap between bioactive medicinal chemistry substructures and rule-of-three compliant fragments is only ∼25%. We recommend including these fragments in fragment screening libraries to maximize confidence in discovering hit matter within known bioactive chemical space, while incorporation of nonoverlapping substructures could offer novel hits in screening libraries. Using principal component analysis, polar and three-dimensional substructures display a higher-than-average enrichment of bioactive compounds, indicating increasing representation of these substructures may be beneficial in fragment …

Databases PharmaceuticalChemistry PharmaceuticalGeneral Chemical EngineeringDrug Evaluation PreclinicalCompound managementLibrary and Information Sciences01 natural sciencesMedicinal chemistryArticle03 medical and health sciencesDrug Discovery030304 developmental biologyPrincipal Component Analysis0303 health sciencesMolecular StructureDrug discoveryChemistryModels CardiovascularComputational BiologyGeneral ChemistryCombinatorial chemistryChemical space0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistryDatabases ChemicalJournal of Chemical Information and Modeling
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Space-Time FPCA Clustering of Multidimensional Curves.

2018

In this paper we focus on finding clusters of multidimensional curves with spatio-temporal structure, applying a variant of a k-means algorithm based on the principal component rotation of data. The main advantage of this approach is to combine the clustering functional analysis of the multidimensional data, with smoothing methods based on generalized additive models, that cope with both the spatial and the temporal variability, and with functional principal components that takes into account the dependency between the curves.

Dependency (UML)Computer sciencebusiness.industryClustering of multidimensional curves GAM Spatio-temporal patternSpace timeGeneralized additive modelPattern recognition010502 geochemistry & geophysics01 natural sciences010104 statistics & probabilityPrincipal component analysisArtificial intelligence0101 mathematicsCluster analysisbusinessFocus (optics)Settore SECS-S/01 - StatisticaRotation (mathematics)Smoothing0105 earth and related environmental sciences
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