Search results for "STED"

showing 10 items of 2256 documents

An identifiable model to assess frequency-domain Granger causality in the presence of significant instantaneous interactions

2010

We present a new approach for the investigation of Granger causality in the frequency domain by means of the partial directed coherence (PDC). The approach is based on the utilization of an extended multivariate autoregressive (MVAR) model, including instantaneous effects in addition to the lagged effects traditionally studied, to fit the observed multiple time series prior to PDC computation. Model identification is performed combining standard MVAR coefficient estimation with a recent technique for instantaneous causal modeling based on independent component analysis. The approach is first validated on simulated MVAR processes showing that, in the presence of instantaneous effects, only t…

System identificationBiomedical EngineeringReproducibility of ResultsElectroencephalographyIndependent component analysisSensitivity and SpecificityPattern Recognition AutomatedAutoregressive modelGranger causalityArtificial IntelligenceFrequency domainStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEconometricsCoherence (signal processing)HumansDiagnosis Computer-AssistedTime seriesAlgorithmsMathematicsCausal model
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Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

2020

Abstract: Background Health system planning requires careful assessment of chronic kidney disease (CKD) epidemiology, but data for morbidity and mortality of this disease are scarce or non-existent in many countries. We estimated the global, regional, and national burden of CKD, as well as the burden of cardiovascular disease and gout attributable to impaired kidney function, for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. We use the term CKD to refer to the morbidity and mortality that can be directly attributed to all stages of CKD, and we use the term impaired kidney function to refer to the additional risk of CKD from cardiovascular disease and gout. Methods Th…

Systems AnalysisGoutCost effectiveness030204 cardiovascular system & hematologyGlobal HealthGLOMERULAR-FILTRATION-RATEGlobal Burden of DiseaseCOST-EFFECTIVENESS0302 clinical medicineCause of DeathPrevalenceGlobal healthDiabetic NephropathiesRegistries030212 general & internal medicineSUB-SAHARAN AFRICA11 Medical and Health SciencesIncidenceMortality rate1. No povertyGeneral MedicineHälsovetenskaperGBD Chronic Kidney Disease CollaborationCKD-EPI EQUATION3. Good healthEuropeCardiovascular Diseases/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingQuality-Adjusted Life YearsLife Sciences & BiomedicineAsiaOceania195 COUNTRIESATHEROSCLEROSIS RISKCARDIOVASCULAR OUTCOMESRisk AssessmentArticle03 medical and health sciencesMedicine General & InternalSDG 3 - Good Health and Well-beingRISK-FACTORGeneral & Internal MedicineEnvironmental healthHealth SciencesmedicineHumansGBD chronic kidney diseaseMortalityRisk factorRenal Insufficiency ChronicDisease burdenQMScience & TechnologyAustralasiabusiness.industryPERIPHERAL ARTERIAL-DISEASEBayes Theoremmedicine.diseaseHealth SurveysQuality-adjusted life yearRENAL-DISEASELatin AmericaYears of potential life lostAfricaNorth AmericaHuman medicinebusinessRCKidney disease
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A Transition Zone Complex Regulates Mammalian Ciliogenesis and Ciliary Membrane Composition

2011

Mutations in genes encoding ciliary components cause ciliopathies, but how many of these mutations disrupt ciliary function is unclear. We investigated Tectonic1 (Tctn1), a regulator of mouse Hedgehog signaling, and found that it is essential for ciliogenesis in some, but not all, tissues. Cell types that do not require Tctn1 for ciliogenesis require it to localize select membrane-associated proteins to the cilium, including Arl13b, AC3, Smoothened and Pkd2. Tctn1 forms a complex with multiple ciliopathy proteins associated with Meckel (MKS) and Joubert (JBTS) syndromes, including Mks1, Tmem216, Tmem67, Cep290, B9d1, Tctn2, and Cc2d2a. Components of the Tectonic ciliopathy complex colocaliz…

TMEM67Inbred C57BLCiliopathiesMedical and Health SciencesMice0302 clinical medicineCerebellumMorphogenesisEye AbnormalitiesEncephalocelePediatricMice Knockout0303 health sciencesPolycystic Kidney DiseasesCiliumCiliary transition zoneBiological SciencesKidney Diseases CysticCell biologyOrgan SpecificityCiliary Motility DisordersKidney DiseasesRabbitsAbnormalitiesMultipleRetinitis PigmentosaCiliary Motility DisordersSignal TransductionKnockoutBiologyRetinaArticle03 medical and health sciencesCysticRare DiseasesCerebellar DiseasesCiliogenesisGeneticsMatrix-Assisted Laser Desorption-IonizationAnimalsHumansAbnormalities MultipleCiliaCiliary membrane030304 developmental biologySpectrometryCell MembraneMembrane ProteinsMassPeptide FragmentsMice Inbred C57BLSpectrometry Mass Matrix-Assisted Laser Desorption-IonizationMutationCiliary baseChickens030217 neurology & neurosurgeryDevelopmental BiologyNature genetics
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Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps

2017

Non-invasive localization of continuous atrial ectopic beats remains a cornerstone for the treatment of atrial arrhythmias. The lack of accurate tools to guide electrophysiologists leads to an increase in the recurrence rate of ablation procedures. Existing approaches are based on the analysis of the P-waves main characteristics and the forward body surface potential maps (BSPMs) or on the inverse estimation of the electric activity of the heart from those BSPMs. These methods have not provided an efficient and systematic tool to localize ectopic triggers. In this work, we propose the use of machine learning techniques to spatially cluster and classify ectopic atrial foci into clearly diffe…

TachycardiaPhysiologyComputer sciencemedicine.medical_treatment02 engineering and technology030204 cardiovascular system & hematologyBioinformaticsBiochemistryACTIVATIONElectrocardiography0302 clinical medicineHeart RateAtrial FibrillationMedicine and Health SciencesImage Processing Computer-AssistedDEPOLARIZATIONBody surface P-wave integral mapsCardiac AtriaAtrial ectopic beatsMultidisciplinarymedicine.diagnostic_testORIGINApplied MathematicsSimulation and ModelingP waveBody Surface Potential MappingQRHeartHUMANSaarhythmiasAblationANATOMYBioassays and Physiological Analysismachine learningPhysical SciencesAtrial ectopic beatsMedicineAtrial Premature ComplexesFIBRILLATIONmedicine.symptomTACHYCARDIAAlgorithmsResearch ArticleclusteringTachycardia Ectopic AtrialComputer and Information SciencesSVMScienceCORONARY-SINUS0206 medical engineeringCardiologyResearch and Analysis MethodsMembrane PotentialTECNOLOGIA ELECTRONICAMachine Learning Algorithms03 medical and health sciencesArtificial IntelligenceHeart Conduction SystemSupport Vector MachinesBody surfacemedicineComputer SimulationHeart AtriaCoronary sinusFibrillationbusiness.industryElectrophysiological TechniquesBiology and Life SciencesPattern recognitionAtrial arrhythmiasELECTROPHYSIOLOGY020601 biomedical engineeringMODELElectrophysiologyCardiovascular AnatomyCardiac ElectrophysiologyArtificial intelligencebusinessElectrocardiographyBiomarkersMathematics
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Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning

2017

Parameter-less ventricular fibrillation detection with time-frequency representation.Time-frequency representations are treated as images for a classifier.A comparison for four classifiers demonstrates the validity of the proposed method.The proposed technique could be applied to any signal and research field.This is a novel approach to signal analysis. Background and objectiveTo safely select the proper therapy for Ventricullar Fibrillation (VF) is essential to distinct it correctly from Ventricular Tachycardia (VT) and other rhythms. Provided that the required therapy would not be the same, an erroneous detection might lead to serious injuries to the patient or even cause Ventricular Fibr…

TachycardiaSupport Vector MachineComputer scienceSpeech recognition0206 medical engineeringDatasets as TopicHealth Informatics02 engineering and technologyVentricular tachycardiaMachine learningcomputer.software_genreMachine LearningElectrocardiographyTachycardia0202 electrical engineering electronic engineering information engineeringmedicineHumansFibrillationbusiness.industrySignal Processing Computer-AssistedPattern recognitionmedicine.disease020601 biomedical engineeringComputer Science ApplicationsVentricular FibrillationVentricular fibrillation020201 artificial intelligence & image processingNeural Networks ComputerArtificial intelligencemedicine.symptombusinessClassifier (UML)computerSoftwareComputer Methods and Programs in Biomedicine
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Microwave-assisted tandem cross metathesis intramolecular Aza-Michael reaction: an easy entry to cyclic beta-amino carbonyl derivatives.

2007

Hoveyda−Grubbs catalyst in combination with BF3·OEt2 efficiently promotes tandem cross metathesis intramolecular aza-Michael reaction between enones and unsaturated carbamates resulting in the creation of β-amino carbonyl units. The use of microwave irradiation dramatically accelerates the process, enhancing the synthetic utility of this methodology for the preparation of these types of derivatives. When enantiomerically enriched α-branched amines were used as starting materials, the process was also very efficient, although with modest selectivity in the newly created stereocenter. The use of microwave irradiation led to an interesting effect, inverting the selectivity in the addition proc…

TandemChemistryGeneral ChemistryMetathesisBiochemistryMicrowave assistedCatalysisCatalysisStereocenterColloid and Surface ChemistryIntramolecular forceMichael reactionOrganic chemistrySelectivityJournal of the American Chemical Society
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Teaching self-regulation strategies via an intelligent tutoring system (TuinLECweb): Effects for low-skilled comprehenders

2018

Teaching method05 social sciences050301 educationComputer-Assisted InstructionMetacognition050105 experimental psychologyIntelligent tutoring systemComputer Science ApplicationsEducationReading comprehensionIntervention (counseling)Mathematics educationEarly adolescents0501 psychology and cognitive sciencesPsychology0503 educationLow skilledJournal of Computer Assisted Learning
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When a new technological product launching fails: A multi-method approach of facial recognition and E-WOM sentiment analysis

2018

Abstract The dual aim of this research is, firstly, to analyze the physiological and unconscious emotional response of consumers to a new technological product and, secondly, link this emotional response to consumer conscious verbal reports of positive and negative product perceptions. In order to do this, biometrics and self-reported measures of emotional response are combined. On the one hand, a neuromarketing experiment based on the facial recognition of emotions of 10 subjects, when physical attributes and economic information of a technological product are exposed, shows the prevalence of the ambivalent emotion of surprise. On the other hand, a nethnographic qualitative approach of sen…

TechnologyKnowledge managementComputer sciencemedia_common.quotation_subjectDecision MakingEmotionsNeuromarketingVideo RecordingExperimental and Cognitive PsychologyPattern Recognition AutomatedBehavioral NeuroscienceImage Processing Computer-AssistedHumansMarketing researchTarget marketmedia_commonMarketingInternetMotivationProduct designbusiness.industrySentiment analysisEquipment DesignConsumer BehaviorMarketing mixSurpriseNew product developmentbusinessFacial RecognitionPhysiology & Behavior
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Optimization of Polyphenols' Recovery from Purple Corn Cobs Assisted by Infrared Technology and Use of Extracted Anthocyanins as a Natural Colorant i…

2022

An ecofriendly extraction technology using infrared (IR) irradiation Ired-Irrad® was applied to purple corn cobs to enhance polyphenol recovery for the first time. The IR extraction efficiency was compared to that of the water bath (WB) method. Response surface methodology (RSM) using a central composite design was conducted to determine the effect of the experimental conditions (extraction time and treatment temperature) and their interactions on the total polyphenol and anthocyanin yields. Optimal extraction of total phenolic compounds (37 mg GAE/g DM) and total monomeric anthocyanins (14 mg C3G/g DM) were obtained at 63 °C for 77 min using IR as an extraction technique and water as a sol…

TechnologyPlant ExtractsOrganic ChemistryBrassica napusPharmaceutical SciencePolyphenolsWaterZea maysAnalytical ChemistryAnthocyaninsBlat de moroChemistry (miscellaneous)Drug DiscoveryMolecular MedicineColorants en els alimentsTecnologia dels alimentsPhysical and Theoretical Chemistrypurple corn cobs; infrared-assisted extraction; response surface methodology; anthocyanins; natural colorant
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Preguntas educativas para la tecnología digital como respuesta

2020

espanolEl desarrollo educativo con tecnologia digital no solo admite sofisticados artefactos tecnologicos, sino tambien inexorables preguntas. Este trabajo tiene como objetivo explorar de forma interrogativa la relacion entre educacion y tecnologia digital a traves de la caracterizacion de una serie de ambitos y preguntas que exigen rutas de reflexion, trabajo e investigacion mas alla de la pregunta por el material didactico en la educacion. Se inscribe en la reflexion pedagogica y busca aportar elementos que permitan identificar futuros itinerarios, paradojas o problemas de investigacion. El procedimiento metodologico, de corte cualitativo, fue el codiseno participativo en tres fases no se…

Tecnologia educativaPedagogypreguntasIdeationevaluaciónWeb-based instructionlcsh:LB5-3640Computer-assisted instructioncodiseñolcsh:Theory and practice of educationEducational technologyTecnologiaEnsenyament assistit per ordinadortecnología digitalpedagogíaAprenentatge electrònicSociologyHumanitiesPedagogia
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