Search results for "programming"

showing 10 items of 3090 documents

A Checklist for Assessing the Methodological Quality of Concurrent tES-fMRI Studies (ContES Checklist): A Consensus Study and Statement

2020

AbstractBackgroundLow intensity transcranial electrical stimulation (tES), including alternating or direct current stimulation (tACS or tDCS), applies weak electrical stimulation to modulate the activity of brain circuits. Integration of tES with concurrent functional magnetic resonance imaging (fMRI) allows for the mapping of neural activity during neuromodulation, supporting causal studies of both brain function and tES effects. Methodological aspects of tES-fMRI studies underpin the results, and reporting them in appropriate detail is required for reproducibility and interpretability. Despite the growing number of published reports, there are no consensus-based checklists for disclosing …

Statement (computer science)International networkmedia_common.quotation_subjectSteering committeeApplied psychologyChecklist030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineQuality (business)PsychologyMethodological qualitycomputer030217 neurology & neurosurgeryDelphiBrain functionmedia_commoncomputer.programming_language
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Voltage Profile Improvement for Soc Son's Low-Voltage Grid with High Penetration of PV Systems by Optimizing the Location of SVC Devices

2018

This paper presents a method that is applied to optimize the placement of Static VAR compensators in a real low-voltage grid in the Vietnamese territory. In this way, the voltage profile of the distribution grid turns to be improved. A heuristic method, the Binary Particle Swarm Optimization, is used to find a solution to this problem within the Matlab environment. A case study that considers a high penetration of rooftop PV systems in a branch of Soc Son distribution grid is implemented to show the efficiency of the optimization method for this specific application.

Static VAr compensators Reactive power Voltage control Renewable energy sources Particle swarm optimization OptimizationComputer sciencebusiness.industry020209 energyPhotovoltaic systemParticle swarm optimization02 engineering and technologyPenetration (firestop)AC powerGridRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'Energia0202 electrical engineering electronic engineering information engineeringElectronic engineeringbusinessMATLABcomputercomputer.programming_languageVoltage2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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Modelling and Simulation of Ego-Noise of Unmanned Aerial Vehicles

2020

In this paper, we develop a simulation model for the ego-noise of unmanned aerial vehicles (UAVs). The ego-noise is composed of spike noise and background noise. The spike noise is modelled by a finite sum of sinusoids, while the background noise is modelled by a coloured Gaussian stationary process. The main property of our model is that it only depends on physical characteristics of the UAV and it does not need real-time audio inputs to be developed. This model is very useful for training novel noise cancelling algorithms and for evaluating their performance. To validate the proposed model, we compare the statistical properties of the ego-noise simulated using our model with actual ego-no…

Stationary processProperty (programming)Computer scienceGaussian010401 analytical chemistry020206 networking & telecommunications02 engineering and technology01 natural sciences0104 chemical sciencesComputer Science::RoboticsBackground noisesymbols.namesakeNoiseControl theory0202 electrical engineering electronic engineering information engineeringsymbolsSpike (software development)Active noise control2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
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Water absorption and hydrothermal performance of PHBV/sisal biocomposites

2014

[EN] The performance of biocomposites of poly(hydroxybutyrate-co-valerate) (PHBV) and sisal fibre subjected to hydrothermal tests at different temperatures above the glass transition of PHBV (TH ¿ 26, 36 and 46 C) was evaluated in this study. The influences of both the fibre content and presence of coupling agent were focused. The water absorption capability and water diffusion rate were considered for a statistical factorial analysis. Afterwards, the physico-chemical properties of water-saturated biocomposites were assessed by Fourier-Transform Infrared Analysis, Size Exclusion Chromatography, Differential Scanning Calorimetry and Scanning Electron Microscopy. It was found that the water d…

Statistical factorial analysis (SFA)Materials scienceAbsorption of waterBiocompositesPolymers and PlasticsMaterials compostosTermoplàsticsCondensed Matter PhysicsHydrothermal degradationHydrothermal circulationLignocellulosic fibresSisalPoly(hydroxybutyrate-co-valerate) (PHBV)Mechanics of MaterialsMAQUINAS Y MOTORES TERMICOSMaterials ChemistrySisal fibreComposite materialGlass transitioncomputerSISALcomputer.programming_language
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A Comparison of Formulae for Calculating Cost-Efficient Sample Sizes of Case-Control Studies with an Internal Validation Scheme

2000

When a case-control study is planned to include an internal validation study, the sample size of the study and the proportion of validated observations has to be calculated. There are a variety of alternative methods to accomplish this. In this article some possible procedures will be compared in order to clarify whether considerable differences in the suggested optimal designs occur, dependent on the used method.

Statistics and ProbabilityAlternative methodsScheme (programming language)Optimal designMathematical optimizationCost efficiencyEstimation theoryComputer scienceSmall sampleGeneral MedicineSample size determinationStatisticsStatistics Probability and UncertaintyInternal validationcomputercomputer.programming_languageBiometrical Journal
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A penalized approach for the bivariate ordered logistic model with applications to social and medical data

2018

Bivariate ordered logistic models (BOLMs) are appealing to jointly model the marginal distribution of two ordered responses and their association, given a set of covariates. When the number of categories of the responses increases, the number of global odds ratios to be estimated also increases, and estimation gets problematic. In this work we propose a non-parametric approach for the maximum likelihood (ML) estimation of a BOLM, wherein penalties to the differences between adjacent row and column effects are applied. Our proposal is then compared to the Goodman and Dale models. Some simulation results as well as analyses of two real data sets are presented and discussed.

Statistics and ProbabilityAssociation (object-oriented programming)05 social sciencesDale modelBivariate analysisLogistic regression01 natural sciencesbivariate ordered logistic modelSet (abstract data type)010104 statistics & probabilityordinal associationpenalized maximum likelihood estimation0502 economics and businessStatisticsCovariateDale model bivariate ordered logistic model penalized maximum likelihood estimation ordinal associationSettore SECS-S/05 - Statistica Sociale0101 mathematicsStatistics Probability and UncertaintyMarginal distributionSettore SECS-S/01 - Statistica050205 econometrics MathematicsOrdinal association
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Expert-based versus citation-based ranking of scholarly and scientific publication channels

2016

Abstract The Finnish publication channel quality ranking system was established in 2010. The system is expert-based, where separate panels decide and update the rankings of a set of publications channels allocated to them. The aggregated rankings have a notable role in the allocation of public resources into universities. The purpose of this article is to analyze this national ranking system. The analysis is mainly based on two publicly available databases containing the publication source information and the actual national publication activity information. Using citation-based indicators and other available information with association rule mining, decision trees, and confusion matrices, …

Statistics and ProbabilityAssociation rule learningPerformance-based fundingComputer sciencemedia_common.quotation_subjectDecision treeScopusManagement Science and Operations ResearchLibrary and Information Sciences050905 science studiesModelling and SimulationScopusQuality (business)Reference modelmedia_commonta113Information retrievalApplied Mathematics05 social sciencesRank (computer programming)Journal citation reportsData scienceComputer Science ApplicationsRankingFinnish ranking system0509 other social sciences050904 information & library sciencesCitationJournal evaluationJournal of Informetrics
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Morphology changes induced by intercellular gap junction blocking: A reaction-diffusion mechanism.

2021

Complex anatomical form is regulated in part by endogenous physiological communication between cells; however, the dynamics by which gap junctional (GJ) states across tissues regulate morphology are still poorly understood. We employed a biophysical modeling approach combining different signaling molecules (morphogens) to qualitatively describe the anteroposterior and lateral morphology changes in model multicellular systems due to intercellular GJ blockade. The model is based on two assumptions for blocking-induced patterning: (i) the local concentrations of two small antagonistic morphogens diffusing through the GJs along the axial direction, together with that of an independent, uncouple…

Statistics and ProbabilityCell signalingModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyDiffusionMorphogenesisAnimalsBlocking (linguistics)IonsNeurotransmitter AgentsbiologyMechanism (biology)ChemistryApplied MathematicsGap junctionGap JunctionsGeneral MedicinePlanariansbiology.organism_classificationPlanariaMulticellular organismIntercellular JunctionsModeling and SimulationBiophysicsReprogrammingAlgorithmsMorphogenSignal TransductionBio Systems
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Correlated randomness and switching phenomena

2010

One challenge of biology, medicine, and economics is that the systems treated by these serious scientific disciplines have no perfect metronome in time and no perfect spatial architecture—crystalline or otherwise. Nonetheless, as if by magic, out of nothing but randomness one finds remarkably fine-tuned processes in time and remarkably fine-tuned structures in space. Further, many of these processes and structures have the remarkable feature of “switching” from one behavior to another as if by magic. The past century has, philosophically, been concerned with placing aside the human tendency to see the universe as a fine-tuned machine. Here we will address the challenge of uncovering how, th…

Statistics and ProbabilityCognitive scienceTheoretical physicsAsideNothingPhenomenonFeature (machine learning)Magic (programming)Space (commercial competition)Condensed Matter PhysicsTipping point (sociology)RandomnessMathematicsPhysica A: Statistical Mechanics and its Applications
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Vector coherent states and intertwining operators

2009

In this paper we discuss a general strategy to construct vector coherent states of the Gazeau-Klauder type and we use them to built up examples of isospectral hamiltonians. For that we use a general strategy recently proposed by the author and which extends well known facts on intertwining operators. We also discuss the possibility of constructing non-isospectral hamiltonians with related eigenstates.

Statistics and ProbabilityComputer scienceFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Construct (python library)Intertwining operatorcoherent statesType (model theory)AlgebraIsospectralOperator (computer programming)Modeling and SimulationCoherent statesMathematics::Mathematical PhysicsSettore MAT/07 - Fisica MatematicaEigenvalues and eigenvectorsMathematical Physics
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