Search results for " methodology"

showing 10 items of 575 documents

Enhanced extraction of astragalosides from Radix Astragali by negative pressure cavitation-accelerated enzyme pretreatment.

2010

The optimal conditions for extraction of astragalosides III and IV (AGs III and IV) in Radix Astragali by negative pressure cavitation-accelerated enzyme pretreatment were studied on the basis of a Box-Behnken design and response surface methodology. Experimental results showed that negative pressure, amount of enzyme and incubation temperature were the main factors governing the enzyme pretreatment of Radix Astragali. The optimum parameters were obtained as follows: negative pressure -0.08 Mpa, amount of enzyme 1.48% (w/w of materials) and incubation temperature 45 degrees C. Under the optimal conditions, the maximal extraction yields of AGs III and IV were 0.103 and 0.325 mg/g, which were…

Environmental EngineeringScanning electron microscopeBioengineeringPressureRadixResponse surface methodologyWaste Management and Disposalchemistry.chemical_classificationAnalysis of VarianceChromatographyRenewable Energy Sustainability and the EnvironmentChemistryExtraction (chemistry)Reproducibility of ResultsGeneral MedicineAstragalus PlantAstragalus propinquusSaponinsEnzymesEnzymeIncubation temperatureCavitationMicroscopy Electron ScanningRegression AnalysisBiotechnologyDrugs Chinese HerbalBioresource technology
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Effects of Age and Playing Tactics on the Individual Tactical Behavior in U10 and U12 Elite Spanish Soccer Players

2022

The aim of this paper was to explore the effects of age and playing tactics on the individual tactical behavior and performance in young soccer players. A total of 1247 individual possessions during 16 knockout matches from LaLiga Promises U12 tournament (n = 621) and LaLiga U10 Iscar Cup (n = 626) were analyzed by observational methodology. Multilevel and multivariate logistic regression models were created to explain the interdependent effects of age category and playing tactics on the individual tactical behavior and performance. Youth players performed most of their actions against defensive pressure (72.5%), during offensive support (91.3%) and receiving the ball facing forward (62.6%)…

Esportistesyouth football; match analysis; technical demands; observational methodology; athlete developmentCiències de l'esportJoventutPhysical Therapy Sports Therapy and RehabilitationOrthopedics and Sports MedicineSports
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Analysis of Teaching Personal and Social Responsibility model-based programmes applied in USA and Spain

2013

Caballero-Blanco P, Delgado-Noguera, MA, Escarti-Carbonell, A. Analysis of Teaching Personal and Social Responsibility model-based programmes applied in USA and Spain. J. Hum. Sport Exerc. Vol. 8, No. 2, pp. 427-441, 2013. Over the last three decades, several studies have applied Hellison’s Teaching Personal and Social Responsibility (TPSR) model; most of them have generated strong empirical evidences that support that theoretical framework. TPSR is a programme for positive youth development through physical activity. This article compares the different studies that have implemented the TPSR model in the United States and Spain. This paper reviews those researches by analysing their key fea…

EsportsResearch methodologyPhysical activityPhysical Therapy Sports Therapy and RehabilitationKey featuresResponsibility modelAdolescents PsicologiaPositive youth developmentPedagogyHumEducación Física y DeportivaPositive development through physical activitySocial scienceDuration (project management)lcsh:Sports medicinePsychologyPositive Youth Developmentlcsh:RC1200-1245Social responsibilityMotivació (Psicologia)
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Optimization of microwave-assisted extraction of polyphenols from Quercus bark

2015

Abstract Box–Behnken response surface methodology was used to investigate and optimize microwave assisted extraction (MAE) (treatment power and time) of antioxidant compounds, especially polyphenols, from bark extracts. Moreover, the effects of solvent composition (methanol and ethanol) particle size, and pH conditions were evaluated and optimized. In addition, the effects of MAE were compared to conventional solvent extraction at room temperature and reflux extraction (at 100 °C). The results indicated that all process variables had a significant effect on polyphenol and antioxidant recovery, except for methanol (p > 0.05). For instance, TPC and antioxidant activity were increased when hig…

EthanolAntioxidantChromatographymedicine.medical_treatmentExtraction (chemistry)Syringic acidchemistry.chemical_compoundchemistryPolyphenolBotanymedicineParticle sizeResponse surface methodologyMethanolAgronomy and Crop ScienceIndustrial Crops and Products
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Molecular profiling and function of exosomes derived from Non-Small Cell Lung Cancer. Diagnostic, predictive and prognostic biomarkers.

2019

Abstract: abstract not available

Exosomes Non-Small Cell Lung Cancer Functionality Biomarker Methodology ImagingHuman medicine
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Scientific studies on writing in second language learning (2005-2017)

2019

Este artículo revisa críticamente las líneas temáticas que desde 2005 hasta 2017 se han publicado sobre Second Language Writing (SLW) con el objetivo de presentar un análisis de las tendencias predominantes en las publicaciones indexadas en SCOPUS. Como metodología de estudio se ha procedido a la selección de aquellas contribuciones que han recibido 60 citas o más. De la revisión de literatura científica realizada se concluye que son tres las líneas de investigación mayoritarias: el proceso de composición o redacción del texto escrito; la retroalimentación que el docente ofrece al aprendiz; y la escritura en línea de una L2. Las conclusiones señalan la necesidad de profundizar en la investi…

Expresión escrita; segundas lenguas; líneas temáticas; composición textual; retroalimentación; escritura multimediaCollaborative writingsegundas lenguasSecond language writingPoint (typography)Study methodologyScopusLibrary scienceGeneral MedicineLíneas temáticascomposición textualSegundas lenguasLlengua segona Adquisicióretroalimentaciónlíneas temáticasExpresión escritaPsychologyEscriptura Ensenyamentescritura multimedia
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La escritura expresiva en la orientación. Una metodología educativa para la construcción del proyecto de vida personal y profesional

2020

La scrittura espressiva adottata a scuola come strumento di autorientamento dell’adolescente di 17-18 anni non sostituisce l’intervento educativo dell’insegnante, piuttosto può considerarsi una tecnica efficace per raccogliere tutte le informazioni necessarie con cui formare, con il consenso dell’alunno e insieme a lui, un quadro esaustivo in cui includere lo stato attuale delle sue competenze, le sue attitudini, i suoi interessi, le sue motivazioni, la sua storia formativa, il suo profilo di personalità, i suoi limiti, nonché i suoi obiettivi e le modalità concrete con cui egli pensa di raggiungerli. Essa è pertanto un metodo educativo con cui gli studenti che si approssimano a svolgere gl…

Expressive writing guidance high school university educational methodology educational-professional life project self-efficacy self-image decision making skillScrittura espressiva orientamento liceo università metodologia educativa progetto di vita formativo-professionale auto-efficacia immagine di sé capacità decisionaleEscritura expresiva orientación bachillerato metodología educativa proyecto de vida formativo-profesional auto-eficacia imagen de sí capacidad de tomar decisiones.Settore M-PED/03 - Didattica E Pedagogia Speciale
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On the interpretability and computational reliability of frequency-domain Granger causality

2017

This Correspondence article is a comment which directly relates to the paper “A study of problems encountered in Granger causality analysis from a neuroscience perspective” (Stokes and Purdon, 2017). We agree that interpretation issues of Granger causality (GC) in neuroscience exist, partially due to the historically unfortunate use of the name “causality”, as described in previous literature. On the other hand, we think that Stokes and Purdon use a formulation of GC which is outdated (albeit still used) and do not fully account for the potential of the different frequency-domain versions of GC; in doing so, their paper dismisses GC measures based on a suboptimal use of them. Furthermore, s…

FOS: Computer and information sciences0301 basic medicineTheoretical computer scienceImmunology and Microbiology (all)Computer scienceTime series analysiMathematics - Statistics TheoryStatistics Theory (math.ST)Statistics - ApplicationsGeneral Biochemistry Genetics and Molecular BiologyMethodology (stat.ME)Causality (physics)03 medical and health sciences0302 clinical medicinegranger causalityGranger causalityCorrespondenceFOS: MathematicsApplications (stat.AP)Physiological oscillationGeneral Pharmacology Toxicology and PharmaceuticsTime seriessignal processingStatistical Methodologies & Health Informaticsfrequency-domain connectivityReliability (statistics)Statistics - MethodologyInterpretabilityGranger-Geweke causalityBiochemistry Genetics and Molecular Biology (all)Interpretation (logic)General Immunology and Microbiologybrain connectivityGeneral MedicineArticlesvector autoregressive models030104 developmental biologyMathematics and StatisticsWildcardVector autoregressive modelPharmacology Toxicology and Pharmaceutics (all)Frequency domaintime series analysisspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaBrain connectivity; Directed coherence; Frequency-domain connectivity; Granger-Geweke causality; Physiological oscillations; Spectral decomposition; Time series analysis; Vector autoregressive models; Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all); Pharmacology Toxicology and Pharmaceutics (all)directed coherence030217 neurology & neurosurgeryphysiological oscillations
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Group Importance Sampling for particle filtering and MCMC

2018

Bayesian methods and their implementations by means of sophisticated Monte Carlo techniques have become very popular in signal processing over the last years. Importance Sampling (IS) is a well-known Monte Carlo technique that approximates integrals involving a posterior distribution by means of weighted samples. In this work, we study the assignation of a single weighted sample which compresses the information contained in a population of weighted samples. Part of the theory that we present as Group Importance Sampling (GIS) has been employed implicitly in different works in the literature. The provided analysis yields several theoretical and practical consequences. For instance, we discus…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencePosterior probabilityMonte Carlo methodMachine Learning (stat.ML)02 engineering and technologyMultiple-try MetropolisStatistics - Computation01 natural sciencesMachine Learning (cs.LG)Computational Engineering Finance and Science (cs.CE)Methodology (stat.ME)010104 statistics & probabilitysymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingStatistics - Machine LearningArtificial IntelligenceResampling0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringComputer Science - Computational Engineering Finance and ScienceStatistics - MethodologyComputation (stat.CO)ComputingMilieux_MISCELLANEOUSMarkov chainApplied Mathematics020206 networking & telecommunicationsMarkov chain Monte CarloStatistics::ComputationComputational Theory and MathematicsSignal ProcessingsymbolsComputer Vision and Pattern RecognitionStatistics Probability and UncertaintyParticle filter[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithmImportance samplingDigital Signal Processing
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Unsupervised Anomaly and Change Detection With Multivariate Gaussianization

2022

Anomaly detection (AD) is a field of intense research in remote sensing (RS) image processing. Identifying low probability events in RS images is a challenging problem given the high dimensionality of the data, especially when no (or little) information about the anomaly is available a priori. While a plenty of methods are available, the vast majority of them do not scale well to large datasets and require the choice of some (very often critical) hyperparameters. Therefore, unsupervised and computationally efficient detection methods become strictly necessary, especially now with the data deluge problem. In this article, we propose an unsupervised method for detecting anomalies and changes …

FOS: Computer and information sciencesComputer Science - Machine LearningMultivariate statisticsComputer sciencebusiness.industryComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionFOS: Physical sciencesImage processingPattern recognitionMultivariate normal distributionComputational Physics (physics.comp-ph)Machine Learning (cs.LG)Methodology (stat.ME)Transformation (function)Robustness (computer science)General Earth and Planetary SciencesAnomaly detectionArtificial intelligenceElectrical and Electronic EngineeringbusinessPhysics - Computational PhysicsStatistics - MethodologyChange detectionCurse of dimensionalityIEEE Transactions on Geoscience and Remote Sensing
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