Search results for "PCA"

showing 10 items of 130 documents

Multiple Estrogen Function in Human Prostate Cancer Cells

1996

MalePCA3Oncologymedicine.medical_specialtyNeoplasms Hormone-DependentCell divisionmedicine.drug_classGeneral Biochemistry Genetics and Molecular BiologyHistory and Philosophy of ScienceHeat shock proteinInternal medicineTumor Cells CulturedAnimalsHumansMedicineHeat-Shock Proteinsbusiness.industryCadherinGeneral NeuroscienceProstatic NeoplasmsCancerEstrogensProstate-Specific AntigenCadherinsmedicine.diseaseRatsProstate-specific antigenReceptors EstrogenEstrogenCancer cellAndrogensbusinessCell DivisionAnnals of the New York Academy of Sciences
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Prostate health index (PHI) as a reliable biomarker for prostate cancer: a systematic review and meta-analysis.

2022

Abstract Objectives Prostate cancer (PCa) represents the second most common solid cancer in men worldwide. In the last decades, the prostate health index (PHI) emerged as a reliable biomarker for detecting PCa and differentiating between non-aggressive and aggressive forms. However, before introducing it in clinical practice, more evidence is required. Thus, we performed a systematic review and meta-analysis for assessing the diagnostic performance of PHI for PCa and for detecting clinically significant PCa (csPCa). Methods Relevant publications were identified by a systematic literature search on PubMed and Web of Science from inception to January 11, 2022. Results Sixty studies, including…

MalePCaprostate tumordiagnosisscreeningBiopsyBiochemistry (medical)Clinical BiochemistryProstateProstatic NeoplasmsGeneral MedicineProstate-Specific AntigenSettore BIO/12 - Biochimica Clinica E Biologia Molecolare Clinicaclinically significant prostate cancer (csPCa)biomarkerHumansprostate health index (PHI)BiomarkersClinical chemistry and laboratory medicineReferences
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Choline PET/CT Features to Predict Survival Outcome in High Risk Prostate Cancer Restaging: A Preliminary Machine-Learning Radiomics Study

2020

Background Radiomic features are increasingly utilized to evaluate tumor heterogeneity in PET imaging but to date its role has not been investigated for Cho-PET in prostate cancer. The potential application of radiomics features analysis using a machine-learning radiomics algorithm was evaluated to select 18F-Cho PET/CT imaging features to predict disease progression in PCa. Methods We retrospectively analyzed high-risk PCa patients who underwent restaging 18F-Cho PET/CT from November 2013 to May 2018. 18F-Cho PET/CT studies and related structures containing volumetric segmentations were imported in the "CGITA" toolbox to extract imaging features from each lesion. A Machine-learning model h…

Malemedicine.medical_specialtyn artificial intelligence model demonstrated to be feasible and able to select a panel of 18F-Cho PET/CT features with valuable association with PCa patients' outcome.business.industryProstatic NeoplasmsFeature selectionPet imagingCholine pet ctmedicine.diseaseTumor heterogeneitySurvival outcomeCholineMachine LearningProstate cancerRadiomicsFeature (computer vision)Artificial IntelligencePositron Emission Tomography Computed TomographyMedicineHumansRadiology Nuclear Medicine and imagingRadiologybusinessRetrospective Studies
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La calidad y el valor percibido en el transporte de mercancías en España y su importancia en la segmentación de clientes

2015

En el estudio académico de las actividades logísticas y específicamente del transporte de mercancías, se ha señalado la influencia de la calidad del servicio en la generación y percepción de valor, así como la importancia de estos dos constructos en el proceso de evaluación del servicio en este entorno particular. En este trabajo se pretende identificar y caracterizar segmentos de empresas que prestan servicios de gestión del transporte internacional de mercancías (transitarias), con base en el valor que perciben del servicio recibido de sus principales proveedores de transporte de mercancías. A través de la realización de un análisis factorial exploratorio sobre una muestra de 205 empresas…

Marketinglcsh:CommercePublic AdministrationSociology and Political ScienceStrategy and Managementmedia_common.quotation_subjectValor percibidoCATPCAlcsh:BusinessCATPCA.lcsh:Social Scienceslcsh:Hlcsh:HF1-6182Market segmentationAccountingValue (economics)3 Ciencias sociales / Social sciencestransporte de mercancíasQuality (business)BusinessMarketinglcsh:HF5001-6182media_commoncalidad del servicio
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Essential oil variation within and among natural populations of Lavandula latifolia and its relation to their ecological areas

2007

Essential oil yield and composition in seven natural populations of Lavandula latifolia from the eastern Iberian Peninsula were determined by GC/MS. Twenty-eight constituents were identified, accounting for 92.0e95.4% of the total oils. These oils were dominated by the monoterpene fraction and three of them (linalool, cineole and camphor) constituted 79.5e86.9% of the oil from flowers. Essential oil yield in leaves and flowers varied among and within populations, but hierarchic analyses of variance showed that the proportion of variation attributable to individuals was significantly higher than that attributable to population differences. Principal component and cluster analyses allowed thr…

MonoterpenePopulationLavandula latifoliaBiochemistrylaw.inventionTerpenechemistry.chemical_compoundLinaloollawBotanyBIOQUIMICA Y BIOLOGIA MOLECULAReducationEcology Evolution Behavior and SystematicsEssential oileducation.field_of_studyPCALamiaceaebiologyEcologyBioclimatic beltsGenetic analysisSpike lavenderbiology.organism_classificationEssential oil yieldchemistryAHCLamiaceaeOrdinationLavandula latifolia
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Volatile constituents of the aerial parts of Pulicaria sicula (L.) Moris growing wild in Sicily: Chemotaxonomic volatile markers of the genus Pulicar…

2015

Abstract The chemical composition of the essential oil isolated from the aerial parts of Pulicaria sicula (L.) Moris was characterized by GC-FID and GC/MS analyses. The oil was particularly rich in oxygenated terpenoids. Among the oxygenated monoterpenes (content of 44.5%), the most abundant were borneol (23.7%), bornyl acetate (6.5%), and isothymol isobutyrate (6.2%). Caryophyllene oxide (10.2%), caryophylladienol I (4.3%), and caryophylla-3,8(13)-dien-5β-ol (4.4%) were identified as the main constituents among the oxygenated sesquiterpenes. Furthermore, a complete literature review on the composition of the essential oils of all the Pulicaria taxa studied so far was performed and a princi…

MonoterpenePrincipal-component analysis (PCA)BioengineeringBiochemistryGas Chromatography-Mass SpectrometryEssential oilPulicarialaw.inventionBorneolchemistry.chemical_compoundGenuslawBotanyOils VolatileSettore BIO/15 - Biologia FarmaceuticaSicilyChemical compositionMolecular BiologyEssential oilPrincipal Component AnalysisMolecular StructurebiologyChemistry (all)General ChemistryGeneral MedicinePlant Components Aerialbiology.organism_classificationPulicariaTerpenoidChemotaxonomychemistryPulicaria siculaChemotaxonomyGC/MS AnalysiMolecular MedicineComposition (visual arts)
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The Essential Oil Compositions of Three Teucrium Taxa Growing Wild in Sicily: HCA and PCA Analyses

2021

The chemical composition and the qualitative and quantitative variability of the essential oils of three taxa belonging to the Teucrium genus were studied. The investigated taxa, that grow wild in Sicily, were Teucrium flavum L. (section Chamaedrys (Mill.) Scheb.), Teucrium montanum and Teucrium capitatum L. of section Polium (Mill.) Scheb. Essential oils were extracted by hydrodistillation and analyzed by GC-MS. In total, 74 compounds were identified. Sesquiterpene hydrocarbons were found to be the main group for T. flavum (48.3%). T. capitatum consisted essentially of monoterpene hydrocarbons (72.7%), with &alpha

MonoterpeneTeucrium flavum L.Pharmaceutical ScienceBiologySesquiterpene01 natural sciencesessential oilArticleGas Chromatography-Mass SpectrometryAnalytical Chemistrylaw.inventionTeucriumlcsh:QD241-441Teucriumchemistry.chemical_compoundlcsh:Organic chemistrySpecies SpecificityGenuslawDrug DiscoveryBotanyOils VolatileCluster AnalysisPlant OilsPhysical and Theoretical ChemistryTeucrium montanum L.Chemical compositionessential oilsSicilyEssential oilPCAPrincipal Component Analysis<i>Teucrium flavum</i> L.010405 organic chemistryOrganic ChemistryPlant Components Aerialbiology.organism_classification<i>Teucrium capitatum</i> L.<i>Teucrium montanum</i> L.0104 chemical sciences010404 medicinal & biomolecular chemistrychemotaxonomychemistryTeucrium capitatum L.Chemistry (miscellaneous)ChemotaxonomyMolecular MedicineComposition (visual arts)GC-MSMolecules
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Changes in the flow and quality of water in the dam reservoir of the Mała Panew catchment (South Poland) characterized by multidimensional data analys…

2023

Multidimensional exploratory techniques, such as the Principal Component Analysis (PCA), have been used to analyze long-term changes in the fl ow regime and quality of water of the lowland dam reservoir Turawa (south-west Poland) in the catchment of the Mała Panew river (a tributary of the Odra). The paper proves that during the period of 1998–2016 the Turawa reservoir was equalizing the river’s water fl ow. Moreover, various physicochemical water quality indicators were analyzed at three measurement points (at the tributary’s mouth into the reservoir, in the reservoir itself and at the outfl ow from the reservoir). The water quality assessment was performed by analyzing physicochemical ind…

Multidimensional analysisHydrologyPrincipal Component Analysis (PCA).geographygeography.geographical_feature_categoryWater flowFlow (psychology)Drainage basinGeneral Medicinewater reservoir; river; water fl ow; water quality; multidimensional data analysisStream flowEnvironmental scienceStatistical analysisWater qualityTotal suspended solidsArchives of Environmental Protection
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On Spatio-Temporal Saliency Detection in Videos using Multilinear PCA

2016

International audience; Visual saliency is an attention mechanism which helps to focus on regions of interest instead of processing the whole image or video data. Detecting salient objects in still images has been widely addressed in literature with several formulations and methods. However, visual saliency detection in videos has attracted little attention, although motion information is an important aspect of visual perception. A common approach for obtaining a spatio-temporal saliency map is to combine a static saliency map and a dynamic saliency map. In this paper, we extend a recent saliency detection approach based on principal component analysis (PCA) which have shwon good results wh…

Multilinear mapVisual perceptiondynamic scenesComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]050105 experimental psychologyImage (mathematics)visual saliencympca[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Salience (neuroscience)0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesComputer visionSaliency mapbusiness.industry05 social sciences[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionVisualizationKadir–Brady saliency detectorPrincipal component analysis020201 artificial intelligence & image processingArtificial intelligencebusinessFocus (optics)
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A Multivariate Analysis on Non-nucleoside HIV-1 Reverse Transcriptase Inhibitors and Resistance Induced by Mutation

2003

This paper describes the use of multivariate statistical procedure PCA as a tool to explore the inhibitory activity of classes of NNRTIs against HIV-1 viruses (wild type and more frequent mutants, Y181C, V106A, K103N, L100I) and against RT enzyme. The analysis of correlations between biological activity and molecular descriptors or similarity indexes allowed a reliable classification of the fifty five derivatives considered in this study. The best results were obtained in the case of L100I and K103N mutants for which the higher number of assignments was found when the principal components derived from the descriptors were used. On this basis this statistical approach is proposed as a reliab…

Multivariate analysisOrganic ChemistryMutantWild typevirus diseasesBiological activityComputational biologyBiologyBioinformaticsSettore CHIM/08 - Chimica FarmaceuticaReverse transcriptaseComputer Science ApplicationsMolecular descriptorDrug DiscoveryMutation (genetic algorithm)Principal component analysisNNRTIs PCA DA resistance mutation
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