Search results for "Application"

showing 10 items of 5559 documents

EVpedia: a community web portal for extracellular vesicles research

2014

Abstract Motivation: Extracellular vesicles (EVs) are spherical bilayered proteolipids, harboring various bioactive molecules. Due to the complexity of the vesicular nomenclatures and components, online searches for EV-related publications and vesicular components are currently challenging. Results: We present an improved version of EVpedia, a public database for EVs research. This community web portal contains a database of publications and vesicular components, identification of orthologous vesicular components, bioinformatic tools and a personalized function. EVpedia includes 6879 publications, 172 080 vesicular components from 263 high-throughput datasets, and has been accessed more tha…

Biomedical ResearchDatabases FactualComputer scienceBioactive moleculesMedizinBioinformaticsBiochemistryMathematical SciencesUser-Computer InterfaceNon-U.S. Gov'tdatabasecomputer.programming_languagePLASMAMICROPARTICLESResearch Support Non-U.S. Gov'tbioinformaticsBiological SciencesOriginal PapersCANCERComputer Science ApplicationsIdentification (information)Cell and molecular biologyComputational MathematicsComputational Theory and MathematicsPROTEOMIC ANALYSISMEMBRANE-VESICLESEXPRESSIONStatistics and ProbabilityPROSTASOMESJavaBioinformaticsexosomesResearch SupportExtracellular vesiclesWorld Wide WebDatabasesDELIVERYInformation and Computing SciencesJournal ArticleHumansMembrane vesicleMolecular BiologyFactualEXOSOMESComputational BiologyCELLSDatabase Management SystemsExtracellular SpacecomputerSoftware
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BED: A new dataset for EEG-based biometrics

2021

Various recent research works have focused on the use of electroencephalography (EEG) signals in the field of biometrics. However, advances in this area have somehow been limited by the absence of a common testbed that would make it possible to easily compare the performance of different proposals. In this work, we present a data set that has been specifically designed to allow researchers to attempt new biometric approaches that use EEG signals captured by using relatively inexpensive consumer-grade devices. The proposed data set has been made publicly accessible and can be downloaded from https://doi.org/10.5281/zenodo.4309471 . It contains EEG recordings and responses from 21 individuals…

Biometricsmedicine.diagnostic_testComputer Networks and CommunicationsComputer sciencebusiness.industryContext (language use)ElectroencephalographyMachine learningcomputer.software_genreFacial recognition systemField (computer science)Computer Science ApplicationsData setIdentification (information)Consistency (database systems)Hardware and ArchitectureSignal ProcessingmedicineArtificial intelligencebusinesscomputerInformation Systems
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Halloysite-Based Bionanocomposites

2017

Scientific research has been invigorated by a new class of biodegradable materials as alternatives to polymers derived from fossils. Such biomaterials can also offer economic advantages because they are derived from renewable resources. Several biopolymers (gelatin, chitin, chitosan, starch, pectin, cellulose and its modified versions, etc.) have been exploited to produce films and formulations. Their use is limited because of fast degradation, predominant hydrophilic character, and, in some cases, unsatisfactory mechanical properties. However, the properties of these polymers can be improved by using inorganic fillers such as additives. Halloysite nanotube is a promising green filler for t…

BiopolymerMaterials scienceApplicationHalloysite nanotube02 engineering and technologySettore CHIM/06 - Chimica Organicaengineering.material010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesHalloysitePhysicochemical propertie0104 chemical sciencesBiopolymers halloysite nanotubes HNT-biopolymers nanocomposites physicochemical properties applicationsHNT-biopolymers nanocompositeChemical engineeringengineering0210 nano-technologySettore CHIM/02 - Chimica Fisica
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Atypical Antipsychotics in the Treatment of Acute Bipolar Depression with Mixed Features: A Systematic Review and Exploratory Meta-Analysis of Placeb…

2016

Evidence supporting the use of second generation antipsychotics (SGAs) in the treatment of acute depression with mixed features (MFs) associated with bipolar disorder (BD) is scarce and equivocal. Therefore, we conducted a systematic review and preliminary meta-analysis investigating SGAs in the treatment of acute BD depression with MFs. Two authors independently searched major electronic databases from 1990 until September 2015 for randomized (placebo-) controlled trials (RCTs) or open-label clinical trials investigating the efficacy of SGAs in the treatment of acute bipolar depression with MFs. A random-effect meta-analysis calculating the standardized mean difference (SMD) between SGA an…

Bipolar DisorderManic-depressive illness--Treatmentmeta-analysilcsh:ChemistryClinical trials0302 clinical medicineManic-depressive illnessAsenapineAntipsychotic drugslcsh:QH301-705.5Spectroscopydiagnostic and statistical manual for mental disorders fifth edition (DSM-5)PsychiatryDepressionBrief ReportGeneral MedicineComputer Science ApplicationsTreatment OutcomeMeta-analysismixed featureHumanmedicine.drugAntipsychotic Agentsmedicine.medical_specialtyAcute bipolar depression; Diagnostic and statistical manual for mental disorders fifth edition (DSM-5); Meta-analysis; Mixed features; Second generation antipsychotic (SGA); Systematic-review; Physical and Theoretical Chemistry; Organic Chemistry; Spectroscopy; Inorganic Chemistry; Catalysis; Molecular BiologyYoung Mania Rating ScalePlaceboCatalysisInorganic Chemistry03 medical and health sciencessystematic-reviewInternal medicinemedicineHumansZiprasidoneBipolar disorderPhysical and Theoretical ChemistryPsychiatryMolecular BiologyLurasidonemixed featuresbusiness.industryOrganic Chemistrysecond generation antipsychotic (SGA)acute bipolar depressionmedicine.disease030227 psychiatrymeta-analysisAntipsychotic Agentlcsh:Biology (General)lcsh:QD1-999QuetiapineControlled Clinical Trials as Topicbusiness030217 neurology & neurosurgeryInternational Journal of Molecular Sciences
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Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability.

2005

A nonlinear prediction method for investigating the dynamic interdependence between short length time series is presented. The method is a generalization to bivariate prediction of the univariate approach based on nearest neighbor local linear approximation. Given the input and output series x and y, the relationship between a pattern of samples of x and a synchronous sample of y was approximated with a linear polynomial whose coefficients were estimated from an equation system including the nearest neighbor patterns in x and the corresponding samples in y. To avoid overfitting and waste of data, the training and testing stages of the prediction were designed through a specific out-of-sampl…

Bivariate time seriePhysics::Medical PhysicsBiomedical EngineeringBlood PressureBivariate analysisOverfittingCross-validationk-nearest neighbors algorithmCardiovascular Physiological PhenomenaHealth Information ManagementHeart RateTilt-Table TestStatisticsApplied mathematicsHumansComputer SimulationPredictabilityHeart rate variabilityMathematicsHealth InformaticBaroreflex controlSystolic arterial pressure variabilityUnivariateModels CardiovascularNonlinear predictionComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsNonlinear systemComputational Theory and MathematicsNonlinear DynamicsLinear approximationMedicalbiological engineeringcomputing
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Analysis of the Characteristics in the Meudon Constrained Evolution Scheme

2007

A first analysis of the characteristics associated with the evolving modes in the constraint evolution scheme proposed by the Meudon group in 2004 is presented. The system is written in a first-order hyperbolic form and a so-called generalized Dirac gauge is considered. Applications to inner boundary conditions in an excised approach to black hole evolutions are discussed.

Black holeConstraint (information theory)PhysicsHistoryClassical mechanicsGroup (mathematics)Scheme (mathematics)Dirac (software)Mathematical analysisBoundary value problemGauge (firearms)Computer Science ApplicationsEducationJournal of Physics: Conference Series
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Excision technique in constrained formulations of Einstein equations: collapse scenario

2015

We present a new excision technique used in constrained formulations of Einstein equations to deal with black hole in numerical simulations. We show the applicability of this scheme in several scenarios. In particular, we present the dynamical evolution of the collapse of a neutron star to a black hole, using the CoCoNuT code and this excision technique.

Black holePhysicsGeneral Relativity and Quantum CosmologyHistoryNeutron starCode (set theory)Classical mechanicsAstrophysics::High Energy Astrophysical PhenomenaEinstein equationsCollapse (topology)Computer Science ApplicationsEducationJournal of Physics: Conference Series
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Hydrogen Peroxide Diffusion through Enamel and Dentin

2018

The purpose of this study was to evaluate the in vitro diffusion of commercial bleaching products (hydrogen peroxide (HP) or carbamide peroxide (CP) based) with different application protocols. Human enamel-dentin discs were obtained and divided into 20 groups. Four commercial products based on HP (Pola Office+(PO), Perfect Bleach (PB), Norblanc Office-automix (NO), and Boost (BT)), and one based on CP (PolaDay CP (PD)), were evaluated with different application protocols (3 applications &times

BleachDiffusionhydrogen peroxide02 engineering and technologyengineering.materialapplication timelcsh:TechnologyFluorescence spectroscopyArticle03 medical and health scienceschemistry.chemical_compound0302 clinical medicineDentinmedicineGeneral Materials Sciencelcsh:MicroscopyHydrogen peroxidelcsh:QC120-168.85lcsh:QH201-278.5Enamel paintlcsh:Tcarbamide peroxidePulp (paper)dental bleachingdiffusion030206 dentistryBuffer solution021001 nanoscience & nanotechnologymedicine.anatomical_structurechemistrylcsh:TA1-2040visual_artengineeringvisual_art.visual_art_mediumlcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:Engineering (General). Civil engineering (General)0210 nano-technologylcsh:TK1-9971light activationNuclear chemistryMaterials
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Internet-based learning environments for project-enhanced science learning

2002

Blended learningPedagogyEducational technologyCollaborative learningOpen learningPersonalized learningPsychologyExperiential learningLearning sciencesComputer Science ApplicationsEducationSynchronous learningJournal of Computer Assisted Learning
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Iterative sparse matrix-vector multiplication for accelerating the block Wiedemann algorithm over GF(2) on multi-graphics processing unit systems

2012

SUMMARY The block Wiedemann (BW) algorithm is frequently used to solve sparse linear systems over GF(2). Iterative sparse matrix–vector multiplication is the most time-consuming operation. The necessity to accelerate this step is motivated by the application of BW to very large matrices used in the linear algebra step of the number field sieve (NFS) for integer factorization. In this paper, we derive an efficient CUDA implementation of this operation by using a newly designed hybrid sparse matrix format. This leads to speedups between 4 and 8 on a single graphics processing unit (GPU) for a number of tested NFS matrices compared with an optimized multicore implementation. We further present…

Block Wiedemann algorithmComputer Networks and CommunicationsComputer scienceGraphics processing unitSparse matrix-vector multiplicationGPU clusterParallel computingGF(2)Computer Science ApplicationsTheoretical Computer ScienceGeneral number field sieveMatrix (mathematics)Computational Theory and MathematicsFactorizationLinear algebraMultiplicationComputer Science::Operating SystemsSoftwareInteger factorizationSparse matrixConcurrency and Computation: Practice and Experience
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