Search results for "DATABASES"

showing 10 items of 937 documents

Mexican journals of educational research towards mainstream dissemination of science

2014

The purpose of this study is to analyze the Electronic Journal of Educational Research (REDIE) on its path towards the common manner of scientific dissemination. This research presents the evolution of Mexican policy with regards to the journals, the situation of the Educational Research Mexican journals, and its profundity relating to REDIE. In its evolution, there were three moments that stood out the most: the standardization of quality criteria, the digitalization and open access of the scientific journals, those that came together with REDIE like REDALYC and LATINDEX , and the individual initiatives of those journals that motivated the development of the scientific dissemination in Mex…

educationRevistas Electrónicas; Revistas de Educación; acceso abierto; bases de datos bibliográficasPedagogyCommunicationRevistas Electrónicasacceso abiertolcsh:LB5-3640Electronic Journalslcsh:Theory and practice of educationOpen Accessbases de datos bibliográficasPedagogy; education; CommunicationRevistas de EducaciónBibliographic DatabasesElectronic Journals; Education Journals; Open Access; Bibliographic DatabasesEducation Journals
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Genetic database development for the characterisation of Sicilian sheep population

2019

The most representative sheep in Sicily are Belicina, Comisana, Pinzirita, Barbarescaand the crossbred derived sheep from all this species. In this study, the allelic frequencies of the Sicilian sheep population were investigated. It currently represents the best way to determine the genetic identity and/or family even with limited amounts of sample or when the DNA is degraded. The aim of the study was to provide a reference data bank and to evaluate a microsatellite panel for pedigree analysis as suggested by the International Society for Animal Genetics (ISAG). There are various studies on European sheep, but few datasets were developed on the population of Sicilian sheep. The reference d…

education.field_of_studyGenetic DatabasesEvolutionary biologySheep Microsatellites CharacterizationPopulationlanguageMicrosatelliteGeneral MedicineBiologyeducationAllele frequencySicilianlanguage.human_language
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Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias

2022

In order to determine the site of origin (SOO) in outflow tract ventricular arrhythmias (OTVAs) before an ablation procedure, several algorithms based on manual identification of electrocardiogram (ECG) features, have been developed. However, the reported accuracy decreases when tested with different datasets. Machine learning algorithms can automatize the process and improve generalization, but their performance is hampered by the lack of large enough OTVA databases. We propose the use of detailed electrophysiological simulations of OTVAs to train a machine learning classification model to predict the ventricular origin of the SOO of ectopic beats. We generated a synthetic database of 12-l…

electrophysiological simulationsmachine learningPhysiologyPhysiology (medical)digital twinoutflow tract ventricular arrhythmiasvirtual populationCiència Experimentssynthetic databases
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Exploiting Data Analytics and Deep Learning Systems to Support Pavement Maintenance Decisions

2021

Road networks are critical infrastructures within any region and it is imperative to maintain their conditions for safe and effective movement of goods and services. Road Management, therefore, plays a key role to ensure consistent efficient operation. However, significant resources are required to perform necessary maintenance activities to achieve and maintain high levels of service. Pavement maintenance can typically be very expensive and decisions are needed concerning planning and prioritizing interventions. Data are key towards enabling adequate maintenance planning but in many instances, there is limited available information especially in small or under-resourced urban road authorit…

feature importancepavement management systemComputer science0211 other engineering and technologiespavement maintenance decision02 engineering and technologypavement management systemslcsh:Technologylcsh:ChemistryGoods and services021105 building & construction0502 economics and business11. SustainabilitySettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials Scienceroad asset databasesInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processes050210 logistics & transportationbusiness.industryLevel of servicelcsh:TProcess Chemistry and TechnologyDeep learning05 social sciencesGeneral EngineeringPavement managementdeep learningTimelinedata mininglcsh:QC1-999Computer Science Applicationsroad asset databaseWorkflowRisk analysis (engineering)lcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Key (cryptography)Settore ICAR/17 - DisegnoArtificial intelligencepavement maintenance decisionsbusinesslcsh:Engineering (General). Civil engineering (General)Predictive modellinglcsh:PhysicsApplied Sciences
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CUDA-BLASTP: Accelerating BLASTP on CUDA-enabled graphics hardware

2011

Scanning protein sequence database is an often repeated task in computational biology and bioinformatics. However, scanning large protein databases, such as GenBank, with popular tools such as BLASTP requires long runtimes on sequential architectures. Due to the continuing rapid growth of sequence databases, there is a high demand to accelerate this task. In this paper, we demonstrate how GPUs, powered by the Compute Unified Device Architecture (CUDA), can be used as an efficient computational platform to accelerate the BLASTP algorithm. In order to exploit the GPU's capabilities for accelerating BLASTP, we have used a compressed deterministic finite state automaton for hit detection as wel…

graphics hardwareSource codeComputer sciencemedia_common.quotation_subjectGraphics hardwareGraphics processing unitParallel computingGeneral Purpose Computation on Graphics Processing Unit (GPGPU)Computational scienceInstruction setCUDAGeneticsComputer GraphicsDatabases Proteinmedia_commondynamic programmingFinite-state machineSequence databaseApplied MathematicsProteinsCompute Unified Device Architecture (CUDA)sequence alignmentGeneral-purpose computing on graphics processing unitsAlgorithmsSoftwareBiotechnology
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Vesiclepedia:A Compendium for Extracellular Vesicles with Continuous Community Annotation

2012

Vesiclepedia is a community-annotated compendium of molecular data on extracellular vesicles.

human proteinpedia; exosomal proteins; delivery-system; breast-milk; url decay; cells; microvesicles; update; rna; biogenesisQH301-705.5Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology) Molecular Biology Microbiology Biochemistry or Biopharmacy)610 Medicine & healthApoptosisComputational biology1100 General Agricultural and Biological SciencesBiologyVesiclepediaExosomesExosomeGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesAnnotation0302 clinical medicineSDG 3 - Good Health and Well-being1300 General Biochemistry Genetics and Molecular Biology2400 General Immunology and MicrobiologyCommunity PageExoCartaBiology (General)Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi) molekylärbiologi mikrobiologi biokemi eller biofarmaci)BiologyBiología y Biomedicina030304 developmental biologyUncategorized0303 health sciencesGeneral Immunology and MicrobiologyGeneral NeuroscienceMicrovesicleResearch2800 General NeuroscienceExtracellular vesicle11359 Institute for Regenerative Medicine (IREM)Extracellular vesiclesMicrovesiclesCompendiumCell biologyData sharingDatabases as Topic030220 oncology & carcinogenesisGeneral Agricultural and Biological SciencesExtracellular Space
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Relationship between authors’ keywords in journal papers and indexing terms in databases ISOC, IME and ICYT

2005

The keywords provided by authors in their scientific articles and the descriptors assigned to those articles in various databases are analysed to find out the role played by these keywords during the indexing process. In order to do that, 108 periodical publications proportionally distributed between Social Sciences and Humanities (36 journals), Science and Technology (36) and Medical and Health Sciences (36) were selected. Ten articles were selected from each of the 108 journals from different years, so that we worked altogether on 1080 articles meeting two conditions: including keywords and being indexed in the databases ISOC, ICYT or IME. Then, we proceeded to draw a comparison between t…

indizacióndatabasesbusiness.industrybases de datosautomatic indexingLibrary scienceICYTLibrary and Information Sciencesindización automáticadescriptorsBibliographic databaseISOCjournal papersartículos de revistadescriptoresestudio comparativoArtificial intelligenceSociologybusinessIMEcomparative studyindexing
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Evolutionary Study of Disorder in Protein Sequences

2020

Intrinsically disordered proteins (IDPs) contain regions lacking intrinsic globular structure (intrinsically disordered regions, IDRs). IDPs are present across the tree of life, with great variability of IDR type and frequency even between closely related taxa. To investigate the function of IDRs, we evaluated and compared the distribution of disorder content in 10,695 reference proteomes, confirming its high variability and finding certain correlation along the Euteleostomi (bony vertebrates) lineage to number of cell types. We used the comparison of orthologs to study the function of disorder related to increase in cell types, observing that multiple interacting subunits of protein comple…

intrinsically disordered regionsortholog comparisonLineage (evolution)High variabilitylcsh:QR1-502comparative genomicsBiologyIntrinsically disordered proteinsBiochemistryArticlelcsh:MicrobiologyEvolution Molecular03 medical and health sciencesSequence Analysis ProteinAnimalsDatabases ProteinMolecular Biology030304 developmental biologyComparative genomics0303 health sciences030302 biochemistry & molecular biologyEvolutionary biologyVertebratesProteomeintrinsically disordered proteinsFunction (biology)Biomolecules
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SOUTH AMERICAN COLLABORATION IN SCIENTIFIC PUBLICATIONS ON LEISHMANIASIS: BIBLIOMETRIC ANALYSIS IN SCOPUS (2000-2011)

2014

Objetivos: Evaluar la producción y la red de colaboración de investigación sobre leishmaniasis en Sudamérica. Métodos: Se realizó un estudio bibliométrico usando la base de datos SCOPUS. La unidad de análisis fueron los artículos originales de investigación publicados desde el año 2000 hasta 2011, realizados sobre leishmaniasis y que incluyeron al menos un autor sudamericano. Se obtuvieron para cada artículo: nombre de la revista, idioma, año de publicación, número de autores, instituciones, países y otras variables. Resultados: 3174 artículos fueron publicados, 2.272 de ellos eran artículos originales. Se identificaron 1.160 firmas institucionales diferentes, 58 países y 398 revistas cient…

lcsh:Arctic medicine. Tropical medicineBibliometric analysislcsh:RC955-962Collaborative networkScopusLibrary scienceCommunity networksBibliometricOriginal researchUnit (housing)Political sciencemedicineHumansBiomedical researchCooperative BehaviorLeishmaniasisLeishmaniaScientific productionLeishmaniasisGeneral MedicineSouth Americamedicine.diseaseDatabases BibliographicNeglected diseasesInfectious DiseasesBibliometricsSouth americanPeriodicals as TopicAnalysisRevista do Instituto de Medicina Tropical de São Paulo
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Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs

2019

Abstract The T cell repertoire is composed of T cell receptors (TCR) selected by their cognate MHC-peptides and naive TCR that do not bind known peptides. While the task of distinguishing a peptide-binding TCR from a naive TCR unlikely to bind any peptide can be performed using sequence motifs, distinguishing between TCRs binding different peptides requires more advanced methods. Such a prediction is the key for using TCR repertoires as disease-specific biomarkers. We here used large scale TCR-peptide dictionaries with state-of-the-art natural language processing (NLP) methods to produce ERGO (pEptide tcR matchinG predictiOn), a highly specific classifier to predict which TCR binds to which…

lcsh:Immunologic diseases. AllergyComputer scienceevaluation methodsT-LymphocytesT cellImmunologyReceptors Antigen T-CellEpitopes T-LymphocyteTarget peptidePeptide bindingPeptidechemical and pharmacologic phenomenaComputational biologyLigandsSoftware implementationautoencoder (AE)AntigenEvaluation methodsmedicineImmunology and AllergyHumansProtein Interaction Domains and MotifsEpitope specificityAntigensDatabases ProteinOriginal Researchchemistry.chemical_classificationBinding SitesT cell repertoireChemistryRepertoirelong short-term memory (LSTM)T-cell receptorepitope specificitydeep learninghemic and immune systemsmedicine.anatomical_structuremachine learningPeptidesSequence motiflcsh:RC581-607SoftwareProtein BindingSignal TransductionTCR repertoire analysisFrontiers in Immunology
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