Search results for "Linea"

showing 10 items of 7724 documents

Evaluation of enantioselective binding of fluoxetine to human serum albumin by ultrafiltration and CE - Experimental design and quality considerations

2012

Several pharmacokinetic processes are affected by enantioselectivity (ES). At the level of distribution, protein binding (PB) is one of the most important. The enantioselective binding of fluoxetine (FLX) to HSA has been evaluated in this work by ultrafiltration of FLX–HSA mixtures and chiral analysis of unbound fractions by EKC-CD. PB, affinity constants (K) and ES were obtained for both enantiomers of FLX. In order to improve the consistency of the estimations, the evaluation of affinity constants of each enantiomer was performed using two designs, one keeping constant the total concentration of protein and varying the total concentration of the enantiomers, and the other in the opposite …

Clinical BiochemistrySerum albuminUltrafiltrationUltrafiltrationStereoisomerismBiochemistryAnalytical ChemistryFluoxetinemedicineHumansBinding siteSerum AlbuminChromatographybiologyChemistryEnantioselective synthesisElectrophoresis CapillaryReproducibility of ResultsStereoisomerismHuman serum albuminModel validityNonlinear Dynamicsbiology.proteinEnantiomerAlgorithmsProtein Bindingmedicine.drugELECTROPHORESIS
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Evaluation of enantioselective binding of propanocaine to human serum albumin by ultrafiltration and electrokinetic chromatography under intermediate…

2011

Abstract Stereoselectivity in protein binding can have a significant effect on the pharmacokinetic and pharmacodynamic properties of chiral drugs. In this paper, the enantioselective binding of propanocaine (PRO) enantiomers to human serum albumin (HSA), the most relevant plasmatic protein in view of stereoselectivity, has been evaluated by incubation and ultrafiltration of racemic PRO–HSA mixtures and chiral analysis of the bound and unbound fractions by electrokinetic chromatography using HSA as chiral selector. Experimental conditions for the separation of PRO enantiomers using HSA as chiral selector and electrokinetic chromatography have been optimised. Affinity constants and protein bi…

Clinical BiochemistryUltrafiltrationUltrafiltrationPlasma protein bindingBiochemistryBenzoatesAnalytical ChemistryIn vivomedicineHumansSerum AlbuminChromatography Micellar Electrokinetic CapillaryChromatographyPropylaminesElutionChemistryEnantioselective synthesisReproducibility of ResultsStereoisomerismCell BiologyGeneral MedicineHydrogen-Ion ConcentrationHuman serum albuminLinear ModelsStereoselectivityEnantiomermedicine.drugProtein BindingJournal of chromatography. B, Analytical technologies in the biomedical and life sciences
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New emerging potentials for human Wharton's jelly mesenchymal stem cells: immunological features and hepatocyte-like differentiative capacity.

2010

In recent years, human mesenchymal stem cells (MSC) have been extensively studied. Their key characteristics of long-term self-renewal and a capacity to differentiate into diverse mature tissues favour their use in regenerative medicine applications. Stem cells can be found in embryonic and extra-embryonic tissues as well as in adult organs. Several reports indicate that cells of Wharton's jelly (WJ), the main component of umbilical cord extracellular matrix, are multipotent stem cells, expressing markers of bone marrow mesenchymal stem cells (BM-MSC), and giving rise to different cellular types of both connective and nervous tissues. Wharton's jelly mesenchymal stem cells (WJ-MSC) express …

Clinical uses of mesenchymal stem cellsBone Marrow CellsBiologyRegenerative MedicineUmbilical CordImmunomodulationMesodermWharton's jellyAnimalsHumansCell LineageStem cell transplantation for articular cartilage repairCell ProliferationSettore BIO/16 - Anatomia UmanaMultipotent Stem CellsMesenchymal stem cellEndodermCell DifferentiationMesenchymal Stem CellsCell BiologyHematologyCell biologyExtracellular MatrixMultipotent Stem CellAmniotic epithelial cellsImmunologyHepatocytesmesenchymal stem cells umbilical cord Wharton's jelly differentiation hepatocyteStem cellBiomarkersDevelopmental BiologyAdult stem cellStem cells and development
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Efficient unsupervised clustering for spatial bird population analysis along the Loire river

2015

International audience; This paper focuses on application and comparison of Non Linear Dimensionality Reduction (NLDR) methods on natural high dimensional bird communities dataset along the Loire River (France). In this context, biologists usually use the well-known PCA in order to explain the upstream-downstream gradient.Unfortunately this method was unsuccessful on this kind of nonlinear dataset.The goal of this paper is to compare recent NLDR methods coupled with different data transformations in order to find out the best approach. Results show that Multiscale Jensen-Shannon Embedding (Ms JSE) outperform all over methods in this context.

Clustering Algorithms[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingNonlinear dimension reductionMultiscale Jensen-Shannon EmbeddingDimension ReductionLoire River
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The on-line curvilinear component analysis (onCCA) for real-time data reduction

2015

Real time pattern recognition applications often deal with high dimensional data, which require a data reduction step which is only performed offline. However, this loses the possibility of adaption to a changing environment. This is also true for other applications different from pattern recognition, like data visualization for input inspection. Only linear projections, like the principal component analysis, can work in real time by using iterative algorithms while all known nonlinear techniques cannot be implemented in such a way and actually always work on the whole database at each epoch. Among these nonlinear tools, the Curvilinear Component Analysis (CCA), which is a non-convex techni…

Clustering high-dimensional dataBregman divergenceComputer scienceneural networkprojectionBregman divergenceNovelty detectionSynthetic dataData visualizationArtificial Intelligencebranch and boundComputer visionunfoldingcurvilinear component analysisCurvilinear coordinatesArtificial neural networkbusiness.industryVector quantizationPattern recognitiononline algorithmbearing faultvector quantizationPattern recognition (psychology)Principal component analysisbearing fault; branch and bound; Bregman divergence; curvilinear component analysis; data reduction; neural network; novelty detection; online algorithm; projection; unfolding; vector quantization; Software; Artificial Intelligencedata reductionArtificial intelligencebusinessnovelty detectionSoftware
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Making nonlinear manifold learning models interpretable: The manifold grand tour

2015

Smooth nonlinear topographic maps of the data distribution to guide a Grand Tour visualisation.Prioritisation of data linear views that are most consistent with data structure in the maps.Useful visualisations that cannot be obtained by other more classical approaches. Dimensionality reduction is required to produce visualisations of high dimensional data. In this framework, one of the most straightforward approaches to visualising high dimensional data is based on reducing complexity and applying linear projections while tumbling the projection axes in a defined sequence which generates a Grand Tour of the data. We propose using smooth nonlinear topographic maps of the data distribution to…

Clustering high-dimensional dataQA75Nonlinear dimensionality reductionDiscriminative clusteringComputer scienceVisualització de la informaciócomputer.software_genreData visualizationProjection (mathematics)Information visualizationArtificial IntelligenceQA:Informàtica::Infografia [Àrees temàtiques de la UPC]business.industryData visualizationDimensionality reductionGrand tourGeneral EngineeringNonlinear dimensionality reductionTopographic mapData structureComputer Science ApplicationsVisualizationManifold learningData miningbusinesscomputerGenerative topographic mappingLinear projections
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Dimensionality reduction via regression on hyperspectral infrared sounding data

2014

This paper introduces a new method for dimensionality reduction via regression (DRR). The method generalizes Principal Component Analysis (PCA) in such a way that reduces the variance of the PCA scores. In order to do so, DRR relies on a deflationary process in which a non-linear regression reduces the redundancy between the PC scores. Unlike other nonlinear dimensionality reduction methods, DRR is easy to apply, it has out-of-sample extension, it is invertible, and the learned transformation is volume-preserving. These properties make the method useful for a wide range of applications, especially in very high dimensional data in general, and for hyperspectral image processing in particular…

Clustering high-dimensional dataRedundancy (information theory)business.industryDimensionality reductionPrincipal component analysisFeature extractionNonlinear dimensionality reductionHyperspectral imagingPattern recognitionArtificial intelligencebusinessMathematicsCurse of dimensionality2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Crack growth in fillet welded steel joints subjected to membrane and bending loading modes

2020

Abstract The present paper presents the results from extensive studies of the fatigue damage evolution in fillet welded steel joints subjected to Constant Amplitude (CA) stress under membrane and bending loading modes. The welded joints in question are F class details (category 71) with plate thicknesses ranging from 25 to 32 mm. The steel quality is a medium strength carbon manganese steel. Crack growth histories for the shallow semi-elliptical shaped cracks emanating from the weld toe are obtained by an Alternating Current Potential Drop (ACPD) technique. These growth histories are presented in detail and modelled by Linear Elastic Facture Mechanics (LEFM). The calculations follow the rec…

Coalescence (physics)Materials sciencebusiness.industryStress ratioMechanical EngineeringLinear elasticity0211 other engineering and technologies02 engineering and technologyStructural engineeringWeldingFinite element methodlaw.invention020303 mechanical engineering & transportsAmplitude0203 mechanical engineeringMechanics of MaterialslawGeneral Materials SciencebusinessStress intensity factor021101 geological & geomatics engineeringParametric statisticsEngineering Fracture Mechanics
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Análisis de la evolución de la línea de costa entre Alcossebre y Orpesa a partir de fotografía aérea (1956-2015)

2019

[ES] El artículo presenta un análisis de la evolución de la línea de costa entre Alcossebre y Orpesa, a partir de fotografías aéreas y ortofotografías, entre 1956 y 2015. La digitialización de 12 líneas de costa ha permitido calcular los cambios netos y máximos, así como la tasa de cambio entre los diferentes años. Los resultados muestran una costa recesiva, con una gran variabilidad espacio-temporal. Conviven sectores con crecimiento sostenido provocado por la acción antrópica (deriva arriba de los espigones y regeneraciones de playa) o causas naturales (prominencias costeras), con otros claramente erosivos (deriva abajo de espigones). Además, el análisis de las isobatas del estrán sumergi…

Coastal evolutionCoastal storm impactLinear regression ratelcsh:G1-922Maximum coastal changesGeneral MedicineErosión de la playaCambios costeros máximosEvolución:GEOGRAFÍA [UNESCO]Impacto de temporalesTasa de regresión linealINGENIERIA CARTOGRAFICA GEODESIA Y FOTOGRAMETRIAcambios costeros máximos tasa de regresión lineal impacto de temporales evolución erosión de la playa.Beach erosionlcsh:Geography (General)UNESCO::GEOGRAFÍACuadernos de Geografía de la Universitat de València
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Toll-quality digital secraphone

2002

This paper describes the design and performance of a secraphone that, when plugged between any conventional telephone set and the public telephone network, protects the speech information travelling through the PSTN. The device has a transparent operating mode that does not alter the signal and a secure mode, accessed upon request of any of the speakers, that encrypts the speech with digital techniques, assuring privacy against unwanted listeners. At the transmission branch, voice is sampled, coded with a CELP scheme at 9600 bps (with a slow mode at 7200 bps), encrypted with a proprietary algorithm and interfaced to the line with a V.32 modem chip set. The keys for encryption are establishe…

Code-excited linear predictionPublic-key cryptographyTelephone networkComputer sciencebusiness.industrySpeech codingCryptographyTelephonyEncryptionbusinessLinear predictive codingComputer networkProceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96)
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