Search results for "Data set"

showing 10 items of 154 documents

Atom-based Stochastic and non-Stochastic 3D-Chiral Bilinear Indices and their Applications to Central Chirality Codification

2006

Abstract Non-stochastic and stochastic 2D bilinear indices have been generalized to codify chemical structure information for chiral drugs, making use of a trigonometric 3D-chirality correction factor. In order to evaluate the effectiveness of this novel approach in drug design we have modeled the angiotensin-converting enzyme inhibitory activity of perindoprilate's σ-stereoisomers combinatorial library. Two linear discriminant analysis models, using non-stochastic and stochastic linear indices, were obtained. The models had shown an accuracy of 95.65% for the training set and 100% for the external prediction set. Next the prediction of the σ-receptor antagonists of chiral 3-(3-hydroxypheny…

Models MolecularQuantitative structure–activity relationshipIndolesStereochemistryStatic ElectricityQuantitative Structure-Activity RelationshipBilinear interpolationAngiotensin-Converting Enzyme InhibitorsIn Vitro TechniquesSet (abstract data type)PiperidinesLinear regressionMaterials ChemistryReceptors sigmaOrder (group theory)Applied mathematicsComputer SimulationPhysical and Theoretical ChemistrySpectroscopyMathematicsTranscortinStochastic ProcessesChemistryAtom (order theory)StereoisomerismLinear discriminant analysisComputer Graphics and Computer-Aided DesignData setDrug DesignLinear ModelsSteroidsTrigonometryChirality (chemistry)Proceedings of The 10th International Electronic Conference on Synthetic Organic Chemistry
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String kernels and high-quality data set for improved prediction of kinked helices in α-helical membrane proteins.

2011

The reasons for distortions from optimal α-helical geometry are widely unknown, but their influences on structural changes of proteins are significant. Hence, their prediction is a crucial problem in structural bioinformatics. For the particular case of kink prediction, we generated a data set of 132 membrane proteins containing 1014 manually labeled helices and examined the environment of kinks. Our sequence analysis confirms the great relevance of proline and reveals disproportionately high occurrences of glycine and serine at kink positions. The structural analysis shows significantly different solvent accessible surface area mean values for kinked and nonkinked helices. More important, …

Models MolecularSupport Vector MachineProlineGeneral Chemical EngineeringGlycineLibrary and Information SciencesProtein Structure SecondaryAccessible surface areaSet (abstract data type)Structural bioinformaticsC++ string handlingSerineAnimalsHumansDatabases ProteinQuantitative Biology::BiomoleculesModels StatisticalChemistryComputational BiologyMembrane ProteinsGeneral ChemistryComputer Science ApplicationsData setCrystallographyMembrane proteinα helicalResearch Designlipids (amino acids peptides and proteins)Biological systemJournal of chemical information and modeling
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Real-Time Monocular Pose Estimation of 3D Objects Using Temporally Consistent Local Color Histograms

2017

We present a novel approach to 6DOF pose estimation and segmentation of rigid 3D objects using a single monocular RGB camera based on temporally consistent, local color histograms. We show that this approach outperforms previous methods in cases of cluttered backgrounds, heterogenous objects, and occlusions. The proposed histograms can be used as statistical object descriptors within a template matching strategy for pose recovery after temporary tracking loss e.g. caused by massive occlusion or if the object leaves the camera’s field of view. The descriptors can be trained online within a couple of seconds moving a handheld object in front of a camera. During the training stage, our approac…

MonocularComputer sciencebusiness.industryTemplate matchingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technologyImage segmentationData setHistogram0202 electrical engineering electronic engineering information engineeringRGB color model020201 artificial intelligence & image processingComputer visionSegmentationArtificial intelligencebusinessPose2017 IEEE International Conference on Computer Vision (ICCV)
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A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders

2016

Multi-label classification targets the prediction of multiple interdependent and non-exclusive binary target variables. Transformation-based algorithms transform the data set such that regular single-label algorithms can be applied to the problem. A special type of transformation-based classifiers are label compression methods, which compress the labels and then mostly use single label classifiers to predict the compressed labels. So far, there are no compression-based algorithms that follow a problem transformation approach and address non-linear dependencies in the labels. In this paper, we propose a new algorithm, called Maniac (Multi-lAbel classificatioN usIng AutoenCoders), which extra…

Multi-label classificationComputer sciencebusiness.industryBinary numberPattern recognitionContext (language use)02 engineering and technologyAutoencoderData setComputingMethodologies_PATTERNRECOGNITIONTransformation (function)CardinalityRanking020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusiness
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Analysis of tear protein patterns by a neural network as a diagnostical tool for the detection of dry eyes

1999

The electrophoretic patterns of tears from patients with dry-eye disease (n = 43) and from healthy subjects (n = 17) were analyzed by means of multivariate statistical methods and an artificial neural network (ANN), following sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). From each electrophoretic pattern a data set was created, randomly divided into test (unknown samples) and training patterns (known samples), with ANN training by one of these sets. After training, the performance of the ANN was checked by presenting the test data set to the ANN. Furthermore, the data was classified using multivariate analysis of discriminance. The groups were significantly different…

Multivariate analysisChromatographyArtificial neural networkbusiness.industryClinical BiochemistryTear proteinsDry eyesPattern recognitionmedicine.diseaseBiochemistryAnalytical ChemistrySet (abstract data type)Data setTest setmedicineArtificial intelligencebusinessMathematicsTest dataElectrophoresis
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Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping

2018

Abstract Gully erosion has been identified as an important soil degradation process and sediment source, especially in arid and semiarid areas. Thus, it is useful to identify the spatial occurrence of this form of water erosion in the landscape and the most vulnerable areas. In this study, we explored the effects of different pixel sizes on some controlling factors extracted from a digital elevation model and remote sensing data when producing a gully erosion susceptibility map (GESM) of Ekbatan Dam Basin, Hamadan, Iran. An inventory map of the gully landforms was prepared based on global positioning system routes of the gullies, extensive field surveys, and visual interpretations of satell…

Multivariate statisticsTopographic Wetness IndexRemote sensing data010504 meteorology & atmospheric sciencesPixelTopographic attributeSettore GEO/04 - Geografia Fisica E Geomorfologia0208 environmental biotechnologySoil Science02 engineering and technology01 natural sciencesNormalized Difference Vegetation Index020801 environmental engineeringData setGully erosionMachine learning modelSoil retrogression and degradationRobustneEnvironmental scienceDigital elevation model0105 earth and related environmental sciencesRemote sensingStatistical hypothesis testingGeoderma
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A multivariate statistical approach of X-ray fluorescence characterization of a large collection of reverse glass paintings

2019

We present an X-ray fluorescence spectroscopy (XRF) study combined with a multivariate approach that allow to detect compositional differences and similarities among the glass supports of a large set of reverse glass paintings belonging to the collection of the Mistretta museum. Reverse painting on glass is an old decorative technique used since the Roman time consisting in applying a cold paint layer on the reverse side of a glass support. The collection shows a large spreading of provenience and dating of the items. In consideration of the current classification solely based on stylistic criteria, we applied a multivariate analysis on the XRF measurements data set to find a more objective…

Multivariate statisticsX-ray fluorescence01 natural sciencesAnalytical Chemistry0103 physical sciencesSettore CHIM/01 - Chimica AnaliticaInstrumentationSpectroscopySettore CHIM/02 - Chimica FisicaMathematics010302 applied physicsElemental compositionPaintingbusiness.industryMultivariate analysi010401 analytical chemistryPattern recognitionReverse glassAtomic and Molecular Physics and Optics0104 chemical sciencesCharacterization (materials science)Data setMultivariate analysisCultural heritageArtificial intelligenceMultivariate statisticalbusinessXRF spectroscopySpectrochimica Acta Part B: Atomic Spectroscopy
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Variabilidad en la utilización de los servicios de urgencias hospitalarios del Sistema Nacional de Salud

2010

ResumenObjetivoLos objetivos de este estudio fueron estimar las tasas de frecuentación a los servicios de urgencias hospitalarios (SUH) del Sistema Nacional de Salud (SNS) por áreas de salud, el porcentaje de ingresos, las razones estandarizadas de utilización de urgencias y analizar la relación con los recursos hospitalarios.MétodosEstudio ecológico combinando información de diversas fuentes (Encuesta de Establecimientos Sanitarios con Régimen de Internado 2006 y Conjunto Mínimo de Datos Básicos 2006) para estimar la frecuentación a los SUH y el porcentaje de ingresos asociado en 164 áreas de salud de 14 comunidades autónomas (CC.AA.).ResultadosLos 35,3 millones de habitantes de las 164 ár…

National healthGerontologyMinimum Data SetUtilization ratioServicios de urgencias hospitalariosbusiness.industryPublic Health Environmental and Occupational HealthEcological studyMedical practice variationAnálisis de áreas pequeñasHealth careHospital emergency servicesMedicinebiological phenomena cell phenomena and immunitySmall-area analysisbusinessVariaciones en la práctica médicareproductive and urinary physiologyDemographyGaceta Sanitaria
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Clustering Bacteria Species Using Neural Gas: Preliminary Study

2009

In this work a method for clustering and visualization of bacteria taxonomy is presented. A modified version of the Batch Median Neural Gas (BNG) algorithm is proposed. The BNG algorithm is able to manage non vectorial data given as a dissimilarity matrix. We tested the modified BNG on the dissimilarity matrix obtained from sequences alignment and computing distances using bacteria genotype information regarding the16S rRNA housekeeping gene, which represents a stable part of bacteria genome. The dataset used for the experiments is obtained from the Ribosomal Database Project II, and it is made of 5159 sequences of 16S rRNA genes. Preliminary results of the experiments show a promising abil…

Neural gasbusiness.industryPattern recognitionBiologyRibosomal RNA16S ribosomal RNAcomputer.software_genreGenomeIris flower data setVisualizationHousekeeping geneData miningArtificial intelligenceCluster analysisbusinesscomputer
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Measurement of South Pole ice transparency with the IceCube LED calibration system

2013

The IceCube Neutrino Observatory, approximately 1 km^3 in size, is now complete with 86 strings deployed in the Antarctic ice. IceCube detects the Cherenkov radiation emitted by charged particles passing through or created in the ice. To realize the full potential of the detector, the properties of light propagation in the ice in and around the detector must be well understood. This report presents a new method of fitting the model of light propagation in the ice to a data set of in-situ light source events collected with IceCube. The resulting set of derived parameters, namely the measured values of scattering and absorption coefficients vs. depth, is presented and a comparison of IceCube …

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsSouth Pole icePhoton progagationAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysicsddc:500.201 natural sciencesHigh Energy Physics - ExperimentIceCube Neutrino ObservatoryIceCubePhysics::GeophysicsHigh Energy Physics - Experiment (hep-ex)0103 physical sciencesCalibrationddc:53014. Life underwater010306 general physicsAbsorption (electromagnetic radiation)InstrumentationInstrumentation and Methods for Astrophysics (astro-ph.IM)Cherenkov radiationRemote sensingPhysicsOptical properties010308 nuclear & particles physicsScatteringDetectorAstrophysics::Instrumentation and Methods for AstrophysicsIceCube; Optical properties; Photon propagation; South Pole iceSouth PoleiceInstrumentation and Detectors (physics.ins-det)Charged particleData setPhoton propagationAstrophysics - Instrumentation and Methods for AstrophysicsNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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