Search results for "AIV"

showing 10 items of 375 documents

Determinantes industriais da solidariedade transnacional: política intersindical global em três setores

2014

Introdução: Oaumento da concorrência global prejudica o poder dos sindicatos pois enfraquece seu controle sobre a competição no mercado de trabalho. Os sindicatos, por vezes, combatem essa ameaça mediante cooperação além das fronteiras nacionais. Apesar do interesse crescente por atividades sindi - cais transnacionais, existem poucas comparações sistemáticas entre setores. Este artigo compara exemplos de cooperação transnacional de sindicatos na indústria automotiva, no transporte marítimo e na indústria têxtil e de vestuário. Argu - mentamos em seguida que os sindicatos adotam diferentes tipos de estratégias internacionais por causa de: (1) diferentes manifestações da competição entre trab…

Cultural StudieslaivaliikenneSociology and Political Sciencebusiness.industryMotor industryTransnational union strategyInternational tradeAcordos marcos internacionaisClothingVestuárioTextile manufacturingClothingCompetition (economics)ShippingIndústria automotivaH1Transnationalismlcsh:H1-99BusinessGlobal framework agreementslcsh:Social sciences (General)Transporte marítimoEstratégia sindical transnacional
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Tensor decomposition of EEG signals: A brief review

2015

Electroencephalography (EEG) is one fundamental tool for functional brain imaging. EEG signals tend to be represented by a vector or a matrix to facilitate data processing and analysis with generally understood methodologies like time-series analysis, spectral analysis and matrix decomposition. Indeed, EEG signals are often naturally born with more than two modes of time and space, and they can be denoted by a multi-way array called as tensor. This review summarizes the current progress of tensor decomposition of EEG signals with three aspects. The first is about the existing modes and tensors of EEG signals. Second, two fundamental tensor decomposition models, canonical polyadic decomposit…

Current (mathematics)canonical polyadicNeuroscience(all)Electroencephalographyevent-related potentialsSignalMatrix decompositionMatrix (mathematics)tensor decompositionDecomposition (computer science)medicineEEGTensorLeast-Squares AnalysisEvoked PotentialsMathematicsCanonical polyadicSignalQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testGeneral NeuroscienceBrainElectroencephalographySignal Processing Computer-AssistedTuckerTensor decompositiontuckeraivotFactor Analysis StatisticalsignalAlgorithmEvent-related potentialsTucker decompositionJournal of Neuroscience Methods
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Combining dasatinib with dexamethasone long-term leads to maintenance of antiviral and antileukemia specific cytotoxic T cell responses in vitro

2012

Maintaining graft versus leukemia (GvL) and antivirus responses of cytotoxic T cells (CTLs) while suppressing graft-versus-host disease (GvHD) remains a challenge after allogeneic bone marrow transplantation. Clinical observations indicate that combining glucocorticoids with multi-tyrosine-kinase inhibitors could be a successful therapeutic approach. We and others have shown that the BCR-ABL/SRC kinase inhibitor dasatinib may enhance or suppress T cells in vitro. In this report, we evaluated combination effects of dasatinib and dexamethasone on CD3 + and virus-specific CD8 + T cells directly ex vivo and on antigen-specific leukemia-reactive and alloreactive CD8 + T cell clones. Functional o…

Cytotoxicity ImmunologicHerpesvirus 4 HumanCancer ResearchNaive T cellT cellDasatinibDrug Evaluation PreclinicalReceptors Antigen T-CellCytomegalovirusApoptosisT-Cell Antigen Receptor SpecificityBiologyLymphocyte ActivationCell DegranulationDexamethasoneAntigenHLA AntigensT-Lymphocyte SubsetsGeneticsmedicineHumansCytotoxic T cellAntigens ViralProtein Kinase InhibitorsMolecular BiologyCells CulturedDegranulationDrug SynergismT-Lymphocytes Helper-InducerCell BiologyHematologyDasatinibThiazolesPyrimidinesmedicine.anatomical_structureImmunologyCancer researchCytokinesK562 CellsMemory T cellCell DivisionCD8Signal TransductionT-Lymphocytes Cytotoxicmedicine.drugExperimental Hematology
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Exploring Frequency-Dependent Brain Networks from Ongoing EEG Using Spatial ICA During Music Listening

2020

Recently, exploring brain activity based on functional networks during naturalistic stimuli especially music and video represents an attractive challenge because of the low signal-to-noise ratio in collected brain data. Although most efforts focusing on exploring the listening brain have been made through functional magnetic resonance imaging (fMRI), sensor-level electro- or magnetoencephalography (EEG/MEG) technique, little is known about how neural rhythms are involved in the brain network activity under naturalistic stimuli. This study exploited cortical oscillations through analysis of ongoing EEG and musical feature during freely listening to music. We used a data-driven method that co…

DYNAMICS6162 Cognitive scienceBrain activity and meditationComputer scienceSpeech recognitionIndependent components analysisElectroencephalographyACTIVATIONSuperior temporal gyrus0302 clinical medicineMusic information retrievalaivotutkimusEEGindependent components analysisBrain MappingRadiological and Ultrasound Technologymedicine.diagnostic_test05 social sciencesBrainElectroencephalographyhumanitiesEMOTIONSNeurologyFeature (computer vision)Auditory PerceptionALPHA-BANDFrequency-specific networks; Music information retrieval; EEG; Independent components analysisfrequency-specific networksAnatomyaivotTOOLBOX515 PsychologyMusic information retrievalmusic information retrievalmusiikkibehavioral disciplines and activitieskuunteleminen050105 experimental psychologyTIMBRE03 medical and health sciencesOSCILLATIONSmedicineHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingPERCEPTIONOriginal PaperATTENTIONtaajuusMagnetoencephalographyaivokuoriFrequency-specific networksNeurology (clinical)Functional magnetic resonance imaginghuman activitiesTimbreMusic030217 neurology & neurosurgeryRESPONSESBrain Topography
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Diagnóstico de Enfermedades Card´ıacas con los algoritmos supervisados Naives Bayesian

2020

Las enfermedades cardíacas son la principal causa de muerte en la actualidad. Este paper contrasta la performance de los diferentes algoritmos supervisados de Machine Learning, que tienen aplicaciones en el a´rea de la medicina, con los algoritmos supervisados Naives Bayes para ayudar a clasificar pacientes propensos a sufrir enfermedades cardíacas. Como fuente de datos se usan 303 instancias de pacientes con diferentes características que fueron analizados al procesar los datos con los respectivos algoritmos. Los resultados con el algoritmo de Naives Bayes son pro- metedores, obteniendo una precisio´n del 86,81 %, usando la fuente de datos mencionada. Esta familia de algoritmos tiene un me…

Data sourceNaive Bayes classifierBayes' theoremArtificial neural networkComputer sciencebusiness.industryGeneral MedicineMedicine fieldArtificial intelligenceMachine learningcomputer.software_genrebusinesscomputerCiencia y Tecnología
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Sentimentu analīze tekstiem krievu valodā

2015

Kvalifikācijas darbs tika veidots ar mērķi analizēt „rus.tvnet.lv” portāla komentārus krievu valodā, jo latviešu valodai līdzīgs projekts jau ir izveidots [1]. Programmas izstrādes sākumā bija pieņemts izstrādāt sistēmu, kas spētu izgūt portāla komentārus un ar mašīnmācīšanās algoritmu palīdzību noteikt negatīvus un pazemojošus komentārus. Projekta gaitā tika izlemts paplašināt programmas darbību, ļaujot lietotājiem pašiem noteikt kāda veida komentāri tiks atlasīti. Par mašīnmācīšanās algoritmu tika izvēlēts naivais Baiesa klasifikators. Tika izmantotas PHP un JavaScript programmēsanas valodas, kā arī AJAX tehnoloģija. Sistēma sastāv no 2 moduļiem: tīmekļa vietnes un „Chrome” pārlūkprogramm…

Datorzinātnenaivais Baiesa klasifikatorsmašīnmācīšanāstekstu apstrādenoskaņojuma analīze
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An Heuristic Approach for the Training Dataset Selection in Fingerprint Classification Tasks

2015

Fingerprint classification is a key issue in automatic fingerprint identification systems. It aims to reduce the item search time within the fingerprint database without affecting the accuracy rate. In this paper an heuristic approach using only the directional image information for the training dataset selection in fingerprint classification tasks is described. The method combines a Fuzzy C-Means clustering method and a Naive Bayes Classifier and it is composed of three modules: the first module builds the working datasets, the second module extracts the training images dataset and, finally, the third module classifies fingerprint images in four classes. Unlike literature approaches using …

Directional imageFingerprint classificationComputer sciencebusiness.industryHeuristicNaive bayes classifierTraining dataset optimizationPattern recognitionBayes classifiercomputer.software_genreClass (biology)Fuzzy logicNaive Bayes classifierComputingMethodologies_PATTERNRECOGNITIONFingerprintArtificial intelligenceData miningCluster analysisbusinesscomputerSelection (genetic algorithm)Fuzzy C-Mean
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Regnāra Vaivara režija dramatiskā un postdramatiskā teātra kontekstā

2016

Maģistra darbs “Regnāra Vaivara režija dramatiskā un postdramatiskā teātra kontekstā” veltīts Regnāra Vaivara iestudējumu analīzei. Regnārs Vaivars Latvijas teātrī sāk strādāt 20. gadsimta 90. gadu otrajā pusē, kļūstot par vienu no spilgtākajiem savas paaudzes režisoriem. Darbā apskatīta Regnāra Vaivara radošā darbība un personība, pievēršot uzmanību režisora profesionālajai attīstībai un iestudējumu dažādībai. Režisors 20 gadu laikā iestudējis nedaudz vairāk nekā 30 izrādes, strādājot gan dramatiskā, gan postdramatiskā teātra tehnoloģijā. Dramatiskā teātra izrādes skatītas Antonēna Arto Nežēlības teātra teorijas un psihoanalīzes kontekstā, pievēršot uzmanību Regnāra Vaivara sadarbībai ar a…

Dramatiskais teātrisPostdramatiskais teātrisRegnārs VaivarsPostmodernismsFiloloģijaRežija
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Biowaiver Monographs for Immediate Release Solid Oral Dosage Forms: Metformin Hydrochloride.

2021

Abstract Data are examined regarding possible waiver of in vivo bioequivalence testing (i.e. biowaiver) for approval of metformin hydrochloride (metformin) immediate-release solid oral dosage forms. Data include metformin's Biopharmaceutics Classification System (BCS) properties, including potential excipient interactions. Metformin is a prototypical transporter-mediated drug and is highly soluble, but only 50% of an orally administered dose is absorbed from the gut. Therefore, metformin is a BCS Class III substance. A BCS-based approval approach for major changes to marketed products and new generics is admissible if test and reference dosage forms have the identical active pharmaceutical …

Drugendocrine system diseasesmedia_common.quotation_subjectPharmaceutical ScienceExcipientAdministration OralBiological Availabilitytransporters02 engineering and technologyPharmacologyBioequivalence030226 pharmacology & pharmacyDosage formPermeabilityBiopharmaceutics03 medical and health sciencesMetformin hydrochloride0302 clinical medicinePharmacokineticsmedicineBiopharmaceutics Classification System (BCS)media_commonActive ingredientDosage FormsbioequivalenceexcipientsChemistry021001 nanoscience & nanotechnologyBiopharmaceutics Classification SystembiowaiverMetforminMetforminSolubilityTherapeutic Equivalencyregulatory science0210 nano-technologypharmacokineticsmedicine.drugJournal of pharmaceutical sciences
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Network Entropy for the Sequence Analysis of Functional Connectivity Graphs of the Brain

2018

Dynamic representation of functional brain networks involved in the sequence analysis of functional connectivity graphs of the brain (FCGB) gains advances in uncovering evolved interaction mechanisms. However, most of the networks, even the event-related ones, are highly heterogeneous due to spurious interactions, which bring challenges to revealing the change patterns of interactive information in the complex dynamic process. In this paper, we propose a network entropy (NE) method to measure connectivity uncertainty of FCGB sequences to alleviate the spurious interaction problem in dynamic network analysis to realize associations with different events during a complex cognitive task. The p…

Dynamic network analysisComputer scienceGeneral Physics and Astronomylcsh:Astrophysicsentropiata3112Measure (mathematics)Articleevent-related analysis050105 experimental psychology03 medical and health sciences0302 clinical medicinelcsh:QB460-4660501 psychology and cognitive sciencesAdjacency matrixdriver fatiguelcsh:ScienceSpurious relationshipRepresentation (mathematics)Event (probability theory)ta113Sequencebrain networkverkkoteoria05 social sciencesnetwork entropy; connectivity; brain network; dynamic network analysis; event-related analysis; driver fatiguelcsh:QC1-999connectivityProbability distributionlcsh:Qdynamic network analysisaivotnetwork entropyAlgorithmlcsh:Physics030217 neurology & neurosurgeryEntropy; Volume 20; Issue 5; Pages: 311
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