Search results for "Cluster Analysis"

showing 10 items of 848 documents

Prácticas de alto rendimiento : un enfoque configuracional aplicado al caso español

2008

Roberto.Luna@uv.es Joaquin.Camps@uv.es El principal objetivo de esta investigación es analizar diferentes configuraciones de prácticas de recursos humanos (RH) que se dan en una muestra de 183 empresas españolas. A continuación se relacionan estas configuraciones con las estrategias competitivas de las empresas con el fin de validar la estructura configuracional obtenida. Los resultados muestran tres tipos de configuraciones. La primera, empresas con prácticas de alto rendimiento (PAR) (37,5%), se caracteriza por un intenso y generalizado uso de dichas prácticas. La segunda, empresas desarrollando PAR (46,4%), se caracteriza por el uso de una amplia gama de PAR, pero con una limitada aplica…

Human resources ; Best practices ; Human resources strategy ; Cluster analysisUNESCO::CIENCIAS ECONÓMICAS::Organización y dirección de empresasEstrategia de recursos humanosBest practicesCluster analysisRecursos humanosRecursos humanos ; Prácticas de alto rendimiento ; Estrategia de recursos humanos ; Análisis configuracional ; Análisis clusterHuman resourcesHuman resources strategyPrácticas de alto rendimientoAnálisis configuracionalAnálisis cluster:CIENCIAS ECONÓMICAS::Organización y dirección de empresas [UNESCO]
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Recent advances in remote sensing image processing

2009

Remote sensing image processing is nowadays a mature research area. The techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics, and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation…

Image fusionContextual image classificationSignal and image processingbusiness.industryFeature extractionImage processingRemote sensingSensor fusionData scienceField (computer science)ApplicationsMachine learningComputer visionArtificial intelligenceCluster analysisbusinessSurveyImage restoration
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Forchlorfenuron-mimicking haptens: From immunogen design to antibody characterization by hierarchical clustering analysis

2011

To obtain highly-specific and selective forchlorfenuron binders, a collection of functionalized derivatives with different spacer arm locations and lengths was prepared. By immunization with target-mimicking haptens, a large battery of monoclonal and polyclonal antibodies against this synthetic cell regulator was produced and exhaustively characterized in two immunoassay formats using homologous and heterologous conjugates. Antibodies with IC50 values lower than 0.3 nM were successfully raised from the prepared immunogens, thus evidencing the efficacy of the explored strategies. In order to identify significant epitopes in the antibody-antigen interaction, a series of new chemical forchlorf…

Immunogenantigen binding propertiesForchlorfenuronBiochemistryEpitopeAntibodieschemistry.chemical_compoundStructure-Activity RelationshipBiomimetic MaterialsmedicineStructure–activity relationshipAnimalsCluster AnalysisPhysical and Theoretical ChemistryImmunoassaysimmunogen structureforchlorfenuronbiologymedicine.diagnostic_testMolecular StructureOrganic ChemistryCombinatorial chemistrychemistryPolyclonal antibodiesImmunoassayAntibody Formationbiology.proteinRabbitsAntibodyHaptenHaptens
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Altered metabolism of gut microbiota contributes to chronic immune activation in HIV-infected individuals.

2015

Altered interplay between gut mucosa and microbiota during treated HIV infection may possibly contribute to increased bacterial translocation and chronic immune activation, both of which are predictors of morbidity and mortality. Although a dysbiotic gut microbiota has recently been reported in HIV + individuals, the metagenome gene pool associated with HIV infection remains unknown. The aim of this study is to characterize the functional gene content of gut microbiota in HIV + patients and to define the metabolic pathways of this bacterial community, which is potentially associated with immune dysfunction. We determined systemic markers of innate and adaptive immunity in a cohort of HIV-in…

ImmunologyHIV InfectionsBiologyGut floraAdaptive ImmunityMicrobiologyMetabolomicsImmunityAntiretroviral Therapy Highly ActiveRNA Ribosomal 16SMetabolomeImmunology and AllergyCluster AnalysisHumansMetabolomicsGeneCase-control studyBayes TheoremBiodiversityAcquired immune systembiology.organism_classificationImmunity InnateMarkov ChainsGastrointestinal MicrobiomeMetabolic pathwayCase-Control StudiesImmunologyDisease ProgressionHIV-1MetabolomeMetagenomeMucosal immunology
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Cluster analysis of clinical data reveals three pediatric eosinophilic gastrointestinal disorder phenotypes

2022

Primary eosinophilic gastrointestinal disorders (EGIDs) are a spectrum of emerging inflammatory diseases, which may involve any part of the gastrointestinal (GI) tract and lead to a pathological eosinophilic mucosal infiltration.1,2 Based on the anatomical site of the eosinophil inflammation, EGIDs are classified into eosinophilic esophagitis (EoE) and nonesophageal EGIDs.This study aimed to characterize EGIDs heterogeneity by performing cluster analysis on a cohort of children and adolescents followed at the Pediatric Center for Eosinophilic Gastrointestinal Disorders (CPED) in Pavia, Italy, using an extensive pediatric primary care database from our University Hospital

ImmunologyphenotypesCluster analysis eosinophilic gastrointestinal disorder children phenotypesEnteritisEGIDs cluster analysisPhenotypepediatricCluster analysiseosinophilic gastrointestinal disorderchildrenGastritisEosinophiliaPediatrics Perinatology and Child HealthHumansImmunology and AllergyChild
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Improved Photocatalytic Activity of Polysiloxane TiO2 Composites by Thermally Induced Nanoparticle Bulk Clustering and Dye Adsorption

2021

Fine control of nanoparticle clustering within polymeric matrices can be tuned to enhance the physicochemical properties of the resulting composites, which are governed by the interplay of nanoparticle surface segregation and bulk clustering. To this aim, out-of-equilibrium strategies can be leveraged to program the multiscale organization of such systems. Here, we present experimental results indicating that bulk assembly of highly photoactive clusters of titanium dioxide nanoparticles within an in situ synthesized polysiloxane matrix can be thermally tuned. Remarkably, the controlled nanoparticle clustering results in improved degradation photocatalytic performances of the material under …

In situMaterials scienceNanoparticleSurfaces and InterfacesThermal treatmentCondensed Matter PhysicsMatrix (chemical analysis)chemistry.chemical_compoundchemistryCoating materials Oxides Composites Nanoparticles Cluster chemistryElectrochemistryPhotocatalysisDegradation (geology)Settore CHIM/01 - Chimica AnaliticaGeneral Materials ScienceComposite materialCluster analysisSpectroscopyMethylene blueSettore CHIM/02 - Chimica FisicaLangmuir
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A Morphological Clustering Method for daily solar radiation curves

2011

Abstract We present a new method based on Mathematical Morphology techniques for the classification of solar radiation curves that we call MfCM. The main advantage of using MfCM as opposed to daily clearness index distributions is that it allows us to keep the dynamics of the solar radiance curves in the analysis: both cloud transitions and variability in direct radiation are simultaneously taken into account. To illustrate our proposal, we use a set of real radiation data collected in a location sited in southern Spain.

Index (economics)Renewable Energy Sustainability and the Environmentbusiness.industryComputer scienceCloud computingMathematical morphologyRadiationDirect radiationSet (abstract data type)RadianceGeneral Materials ScienceCluster analysisbusinessRemote sensingSolar Energy
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Endometrial receptivity and implantation are not affected by the presence of uterine intramural leiomyomas: a clinical and functional genomics analys…

2008

Uterine leiomyomas are the most frequent benign tumors during reproductive age. Whether intramural leiomyomas cause infertility and should be removed is controversial because no study has addressed the underlying mechanism of infertility.The objective of the study was to test the effect of intramural leiomyomas on endometrial function by comparing gene during the window of implantation and implantation in an oocyte donation program, in which the quality of the embryos replaced is similar and the endocrine environment of the endometrium is standardized by exogenous steroids.Human endometria of women with single intramural leiomyomas (group A,5 cm and group B,or =5 cm) and controls (group C) …

InfertilityAdultmedicine.medical_specialtyPregnancy RateEndocrinology Diabetes and Metabolismmedicine.medical_treatmentClinical BiochemistryUterusContext (language use)BiologyEndometriumBiochemistryModels BiologicalEndometriumEndocrinologyPregnancyInternal medicinemedicineCluster AnalysisHumansEmbryo ImplantationOligonucleotide Array Sequence AnalysisRetrospective StudiesGynecologyIn vitro fertilisationUterine leiomyomaLeiomyomaGene Expression ProfilingBiochemistry (medical)GenomicsMiddle Agedmedicine.diseaseGene Expression Regulation NeoplasticPregnancy ratemedicine.anatomical_structureEndocrinologyIn uteroUterine NeoplasmsFemalePregnancy Complications NeoplasticThe Journal of clinical endocrinology and metabolism
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A genomic diagnostic tool for human endometrial receptivity based on the transcriptomic signature

2009

Objective: To create a genomic tool composed of a customized microarray and a bioinformatic predictor for endometrial dating and to detect pathologies of endometrial origin. To define the transcriptomic signature of human endometrial receptivity. Design: Two cohorts of endometrial samples along the menstrual cycle were used: one to select the genes to be included in the customized microarray (endometrial receptivity array [ERA]), and the other to be analyzed by ERA to train the predictor for endometrial dating and to define the transcriptomic signature. A third cohort including pathological endometrial samples was used to train the predictor for pathological classification. Setting: Healthy…

InfertilityMicroarraymedia_common.quotation_subjectpredictorEndometriumBioinformaticsSensitivity and SpecificityTranscriptomeEndometriumPredictive Value of Teststranscriptomic signaturemedicineCluster AnalysisHumansPathologicalMenstrual cycleHydrosalpinxMenstrual Cyclemedia_commonUterine Diseasesbusiness.industryReverse Transcriptase Polymerase Chain ReactionGene Expression ProfilingObstetrics and GynecologyReproducibility of Resultsendometrial datingGenomicsmedicine.diseasemedicine.anatomical_structureEndometrial receptivityReproductive MedicineFemaleEndometrial receptivitybusinessmicroarrayInfertility Femalediagnostic tool
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ExtMiner : Combining multiple ranking and clustering algorithms for structured document retrieval

2006

This paper introduces ExtMiner, a platform and potential tool for information management in SMEs (small & medium-size enterprise), or for organizational workgroups. ExtMiner supports interactive and iterative clustering of documents. It provides users with a visual cluster and list views at the same time, supporting iterative search process. ExtMiner may also be applied as a platform for research on retrieval fusion, since it combines search, clustering and visualization algorithms. ExtMiner was evaluated with three document collections. Although the findings were encouraging the user interface and performance with large document repositories need further development. peerReviewed

Information managementdokumenttien hakumenetelmätklusterointiDocument retrievalInformation retrievalComputer scienceDocument clusteringXMLcomputer.software_genreRanking (information retrieval)document clusteringRankingHuman–computer information retrievalRelevance (information retrieval)Data miningUser interfaceDocument retrievalCluster analysiscomputer
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