Search results for "PreP"

showing 10 items of 1334 documents

Dades massives i estadística: La perspectiva d'un estadístic

2014

Les dades massives (big data) representen un recurs sense precedents per a afrontar reptes científics, econòmics i socials, però també incrementen la possibilitat de traure conclusions enganyoses. Per exemple, l’ús d’enfocaments basats exclusivament en dades i que es despreocupen de comprendre el fenomen en estudi, que s’orienten a un objectiu esmunyedís i canviant, que no tenen en compte problemes determinants en la recopilació de dades, que resumeixen o «cuinen» inadequadament les dades i que confonen el soroll amb el senyal. Repassarem alguns casos reeixits i il·lustrarem com poden ajudar els principis de l’estadística a obtenir una informació més fiable de les dades. També abordarem els…

Computer scienceBig datadades massivespitfallsestudios de casocomputer sciencechallengesSocial issuescase studiesestadísticaHistory and Philosophy of Sciencebig dataPhenomenonPreprocessormacrodatosinformáticaMultidisciplinaryData collectionbusiness.industryPerspective (graphical)SIGNAL (programming language)estudis de casData sciencestatisticsbusinessStatistician
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Asymmetries in path encoding in Sicilian: A diachronic overview

2017

This talk aims at describing the encoding of path within the system of spatial relations in Sicilian, an Italo-Romance language spoken in Sicily and its satellite islands. In general terms, spatial relations in Sicilian remain largely unexplored in the light of the current linguistic theories. As a consequence, the first point addressed in the proposed description is the comparison of Sicilian data with the cross-linguistic scenario. It is generally argued in the relevant literature that the encoding of path appears to be less autonomous compared to source, goal, and location at the cross-linguistic level, and its encoding is frequently based on location (see Stolz 1992). In Sicilian, the s…

Computer scienceEncoding (memory)Path (graph theory)languageTopologySicilian language space prepositionsSicilianlanguage.human_languageSettore L-LIN/01 - Glottologia E Linguistica
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Genotoxicity investigations on nanomaterials: methods, preparation and characterization of test material, potential artifacts and limitations--many q…

2008

Nanomaterials display novel properties to which most toxicologists have not consciously been exposed before the advent of their practical use. The same properties, small size and particular shape, large surface area and surface activity, which make nanomaterials attractive in many applications, may contribute to their toxicological profile. This review describes what is known about genotoxicity investigations on nanomaterials published in the openly available scientific literature to-date. The most frequently used test was the Comet assay: 19 studies, 14 with positive outcome. The second most frequently used test was the micronucleus test: 14 studies, 12 of them with positive outcome. The A…

Computer scienceHealth Toxicology and Mutagenesismedicine.disease_causeNanomaterialsToxicologyGenotoxicity testingTest materialMutagenicityGeneticsmedicineAnimalsHumansParticle SizeMethods preparationNanomaterialsMechanism (biology)Mutagenicity TestsStandard methodsCharacterization (materials science)NanostructuresParticlesDNA damageBiochemical engineeringGenotoxicityTest methodsArtifactsGenotoxicityMutation research
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An Automatic HEp-2 Specimen Analysis System Based on an Active Contours Model and an SVM Classification

2019

The antinuclear antibody (ANA) test is widely used for screening, diagnosing, and monitoring of autoimmune diseases. The most common methods to determine ANA are indirect immunofluorescence (IIF), performed by human epithelial type 2 (HEp-2) cells, as substrate antigen. The evaluation of ANA consist an analysis of fluorescence intensity and staining patterns. This paper presents a complete and fully automatic system able to characterize IIF images. The fluorescence intensity classification was obtained by performing an image preprocessing phase and implementing a Support Vector Machines (SVM) classifier. The cells identification problem has been addressed by developing a flexible segmentati…

Computer scienceSVMKNN02 engineering and technologylcsh:TechnologyIIF imageHough transformlaw.inventionlcsh:Chemistry03 medical and health scienceslawClassifier (linguistics)0202 electrical engineering electronic engineering information engineeringPreprocessorGeneral Materials ScienceSegmentationcell segmentationlcsh:QH301-705.5InstrumentationIIF images030304 developmental biologyFluid Flow and Transfer Processes0303 health sciencesIndirect immunofluorescencelcsh:Tbusiness.industryProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)ROC curvelcsh:QC1-999Computer Science ApplicationsSupport vector machineParameter identification problemFluorescence intensityHough transformlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businesslcsh:Physicsactive contours modelApplied Sciences
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Miniaturized solid-phase extraction techniques

2015

More than 80% of analysis time is spent on sample collection and sample preparation, so sample preparation is a critical part of the analytical process. Traditionally, liquid-liquid extraction was developed and employed to screen for general unknowns. However, solid-phase extraction (SPE) is becoming highly popular as an alternative, due to its simplicity and economy in terms of time and solvent. This review summarizes the current state of the art and the future prospects for green analytical chemistry with special emphasis on environment-friendly sample-preparation techniques based on the solid phase. We discuss in detail miniaturized SPE techniques, based on the most relevant, most repres…

Computer sciencebusiness.industryExtraction (chemistry)Analytical chemistrySample preparationSolid phase extractionSample collectionSolid-phase microextractionProcess engineeringbusinessSpectroscopyAnalytical ChemistryTrAC Trends in Analytical Chemistry
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An Unsupervised Method for Suspicious Regions Detection in Mammogram Images

2015

Over the past years many researchers proposed biomedical imaging methods for computer-aided detection and classification of suspicious regions in mammograms. Mammogram interpretation is performed by radiologists by visual inspection. The large volume of mammograms to be analyzed makes such readings labour intensive and often inaccurate. For this purpose, in this paper we propose a new unsupervised method to automatically detect suspicious regions in mammogram images. The method consists mainly of two steps: preprocessing; feature extraction and selection. Preprocessing steps allow to separate background region from the breast profile region. In greater detail, gray levels mapping transform …

Computer sciencebusiness.industryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionMammograms Breast Cancer Suspicious Regions SURF Biomedical Imaging Mapping Histogram Specifications.Visual inspectionHistogramMedical imagingPreprocessorComputer visionArtificial intelligenceskin and connective tissue diseasesbusiness
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A one class KNN for signal identification: a biological case study

2009

The paper describes an application of a one class KNN to identify different signal patterns embedded in a noise structured background. The problem becomes harder whenever only one pattern is well-represented in the signal; in such cases, one class classifier techniques are more indicated. The classification phase is applied after a preprocessing phase based on a multi layer model (MLM) that provides preliminary signal segmentation in an interval feature space. The one class KNN has been tested on synthetic and real (Saccharomyces cerevisiae) microarray data in the specific problem of DNA nucleosome and linker regions identification. Results have shown, in both cases, a good recognition rate.

Computer sciencebusiness.industryFeature vectorPattern recognitionmulti layer methodone class classifierPreprocessorSegmentationnucleosome positioning.Artificial intelligenceK nearest neighbourbusinessClassifier (UML)Multi layer
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Targeting fibroblast activation protein (FAP): next generation PET radiotracers using squaramide coupled bifunctional DOTA and DATA5m chelators

2020

Abstract Background Fibroblast activation protein (FAP) is a proline selective serine protease that is overexpressed in tumor stroma and in lesions of many other diseases that are characterized by tissue remodeling. In 2014, a most potent FAP-inhibitor (referred to as UAMC1110) with low nanomolar FAP-affinity and high selectivity toward related enzymes such as prolyl oligopeptidase (PREP) and the dipeptidyl-peptidases (DPPs): DPP4, DPP8/9 and DPP2 were developed. This inhibitor has been adopted recently by other groups to create radiopharmaceuticals by coupling bifunctional chelator-linker systems. Here, we report squaric acid containing bifunctional DATA5m and DOTA chelators relied on UAMC…

Computer. Automationlcsh:Medical physics. Medical radiology. Nuclear medicine540 Chemistry and allied sciencesPREPPharmacology. Therapylcsh:R895-920Gallium-68lcsh:RM1-950610 MedizinFAPDATA5mChemistrylcsh:Therapeutics. PharmacologyDOTA540 Chemie610 Medical sciencesSquaric acidneoplasmsEJNMMI Radiopharmacy and Chemistry
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Sample Preparation to Determine Pharmaceutical and Personal Care Products in an All-Water Matrix: Solid Phase Extraction

2020

© 2020 by the authors.

ConcentrationWater samplesPharmaceuticals and personal care productsPharmaceutical ScienceSewageReviewCosmeticsWastewater010501 environmental sciences01 natural sciencesEnvironmental impact of pharmaceuticals and personal care productsAnalytical ChemistryAigua AnàlisiTandem Mass SpectrometryDrug DiscoverySample preparationOnlineSolid phase extractionProcess engineeringGroundwaterChromatography High Pressure LiquidSewageDispersive liquid-liquid microextractionSolid Phase ExtractionDisksPharmaceutical PreparationsWastewaterChemistry (miscellaneous)Molecular MedicineEnvironmental MonitoringFarmacologiaLiquid Phase MicroextractionCartridgesSensitivity and SpecificityWater PurificationIsolationlcsh:QD241-441lcsh:Organic chemistryPhysical and Theoretical Chemistry0105 earth and related environmental sciencesSolid-phase extractionbusiness.industry010401 analytical chemistryOrganic ChemistryAnalytical techniqueExtraction (chemistry)Water0104 chemical sciencesEnvironmental sciencebusinessSurface waterWater Pollutants Chemical
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Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range co…

2017

Entropy measures are widely applied to quantify the complexity of dynamical systems in diverse fields. However, the practical application of entropy methods is challenging, due to the variety of entropy measures and estimators and the complexity of real-world time series, including nonstationarities and long-range correlations (LRC). We conduct a systematic study on the performance, bias, and limitations of three basic measures (entropy, conditional entropy, information storage) and three traditionally used estimators (linear, kernel, nearest neighbor). We investigate the dependence of entropy measures on estimator- and process-specific parameters, and we show the effects of three types of …

Conditional entropyStatistics and ProbabilityDynamical systems theoryComputer scienceEstimatorCondensed Matter Physics01 natural sciencesArticlek-nearest neighbors algorithm03 medical and health sciencesComplex dynamics0302 clinical medicineAutoregressive modelLocal variance0103 physical sciencesStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPreprocessorStatistical physics010306 general physics030217 neurology & neurosurgeryStatistical and Nonlinear PhysicPhysical review. E
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