Search results for "hypothesis"

showing 10 items of 426 documents

Genes, dopamine and cortical signal-to-noise ratio in schizophrenia.

2004

A large body of phenomenological evidence implicates abnormal connectivity of brain macrocircuitry and microcircuitry in schizophrenia. Recent discoveries of susceptibility genes for schizophrenia have zeroed in on the synaptic signaling machinery of cortical microcircuits as fundamental to disease causation and have militated for further revision of the role of dopamine in this illness. Dopamine, long implicated in psychosis and in antipsychotic drug effects, is crucial in optimizing signal-to-noise ratio of local cortical microcircuits. This action of dopamine is achieved principally by D1- and D2-receptor-mediated effects on pyramidal and local circuit neurons, which mediate neuronal exc…

Cerebral CortexPsychosisGeneral NeuroscienceDopamineCentral nervous systemGlutamate receptormedicine.diseasechemistry.chemical_compoundmedicine.anatomical_structurechemistryDopamineSchizophreniamedicineSchizophreniaHumansSynaptic signalingNerve NetPsychologyNeurotransmitterNeuroscienceDopamine hypothesis of schizophreniamedicine.drugTrends in neurosciences
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Approximate Osher–Solomon schemes for hyperbolic systems

2016

This paper is concerned with a new kind of Riemann solvers for hyperbolic systems, which can be applied both in the conservative and nonconservative cases. In particular, the proposed schemes constitute a simple version of the classical Osher-Solomon Riemann solver, and extend in some sense the schemes proposed in Dumbser and Toro (2011) 19,20. The viscosity matrix of the numerical flux is constructed as a linear combination of functional evaluations of the Jacobian of the flux at several quadrature points. Some families of functions have been proposed to this end: Chebyshev polynomials and rational-type functions. Our schemes have been tested with different initial value Riemann problems f…

Chebyshev polynomialsApplied MathematicsNumerical analysisMathematical analysis010103 numerical & computational mathematics01 natural sciencesRiemann solverEuler equations010101 applied mathematicsComputational Mathematicssymbols.namesakeRiemann hypothesisRiemann problemJacobian matrix and determinantsymbols0101 mathematicsShallow water equationsMathematicsApplied Mathematics and Computation
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Analyzing Regional Geographic Challenges: The Resilience of Chinese Vineyards to Land Degradation Using a Societal and Biophysical Approach

2021

Land degradation, especially soil erosion, is a societal issue that affects vineyards worldwide, but there are no current investigations that inform specifically about soil erosion rates in Chinese vineyards. In this review, we analyze this problem and the need to avoid irreversible damage to soil and their use from a regional point of view. Information about soil erosion in vineyards has often failed to reach farmers, and we can affirm that to this time, soil erosion in Chinese vineyards has been more of a scientific hypothesis than an agronomic or environmental concern. Two hypotheses can be presented to justify this review: (i) there are no official and scientific investigations on viney…

ChinaVinemedia_common.quotation_subject010501 environmental sciencesHypothesisSocial issues01 natural sciencesVineyardlcsh:AgricultureChinaEnvironmental planningsolutions0105 earth and related environmental sciencesNature and Landscape Conservationmedia_commonhuman issuesGlobal and Planetary ChangeEcologyLand useland degradationlcsh:S04 agricultural and veterinary sciencesGeographyregional geographical approach040103 agronomy & agricultureLand degradation0401 agriculture forestry and fisheriesPsychological resilienceviticultural regionLand
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Models of Computation, Riemann Hypothesis, and Classical Mathematics

1998

Classical mathematics is a source of ideas used by Computer Science since the very first days. Surprisingly, there is still much to be found. Computer scientists, especially, those in Theoretical Computer Science find inspiring ideas both in old notions and results, and in the 20th century mathematics. The latest decades have brought us evidence that computer people will soon study quantum physics and modern biology just to understand what computers are doing.

Classical mathematicsFinite-state machineComputer sciencebusiness.industryModel of computationEpistemologyPhilosophy of computer sciencePhilosophy of languageTuring machinesymbols.namesakeRiemann hypothesisFormal languagesymbolsArtificial intelligencebusiness
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Adaptive trial design: a general methodology for censored time to event data.

2008

Adaptive designs allow a clinical trial design to be changed according to interim findings without inflating type I error. The Inverse Normal method can be considered as an adaptive generalization of classical group sequential designs. The use of the Inverse Normal method for censored survival data was demonstrated only for the logrank statistic. However, the logrank statistic is inefficient in the presence of nuisance covariates affecting survival. We demonstrate, how the Inverse Normal method can be applied to Cox regression analysis. The required independence between test statistics of the different stages of the trial can be obtained by two different approaches. One is using the indepen…

Clinical Trials as Topicbusiness.industryProportional hazards modelNormal DistributionRegression analysisGeneral MedicineSurvival AnalysisTimeNormal distributionResearch DesignData Interpretation StatisticalStatisticsCovariateEconometricsMedicineHumansPharmacology (medical)Computer SimulationbusinessStatisticIndependence (probability theory)Statistical hypothesis testingType I and type II errorsProportional Hazards ModelsRandomized Controlled Trials as TopicContemporary clinical trials
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V: p-Werte: Was sie besagen und was nicht …

2002

Both an extensive data description and an explicit assessment of a study result's statistical significance should be presented in the result section of a clinical trial report. Whereas the description illustrates the order and clinical relevance of the study findings, the statistical significance describes its generalizability to patients not included in the clinical trial: Despite the random recruitment of patients into a trial, the study results may fail to represent clinical reality (for example the trial might show falsely positive efficacy findings, whereas in "clinical reality" efficacy appears rather limited). A p value measures the statistical significance of a study result -- the s…

Clinical trialResearch designOphthalmologyRelative riskStatistical significanceClinical significanceGeneralizability theoryp-valuePsychologyClinical psychologyStatistical hypothesis testingKlinische Monatsblätter für Augenheilkunde
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Computation Cluster Validation in the Big Data Era

2017

Data-driven class discovery, i.e., the inference of cluster structure in a dataset, is a fundamental task in Data Analysis, in particular for the Life Sciences. We provide a tutorial on the most common approaches used for that task, focusing on methodologies for the prediction of the number of clusters in a dataset. Although the methods that we present are general in terms of the data for which they can be used, we offer a case study relevant for Microarray Data Analysis.

Clustering high-dimensional dataClass (computer programming)Clustering validation measureSettore INF/01 - InformaticaComputer sciencebusiness.industryBig dataInferenceMicroarrays data analysiscomputer.software_genreGap statisticTask (project management)ComputingMethodologies_PATTERNRECOGNITIONCURE data clustering algorithmConsensus clusteringHypothesis testing in statisticClustering Class Discovery in Data Algorithmsb Clustering algorithmFigure of meritConsensus clusteringData miningCluster analysisbusinesscomputer
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The Dialectics of Free Energy Minimization

2019

Karl Friston’s free energy minimization has been received with great enthusiasm. With good reason: it not only makes the bold claim to a unifying theory of the brain, but it is presented as an a priori principle applicable to living systems in general. In this article, we set out to show how the breadth of scope of Friston’s framework converges with the dialectics of Georg Hegel. Through an appeal to the work of Catherine Malabou, we aim to demonstrate how Friston not only reinvigorates Hegelian dialectics from the perspective of neuroscience, but that the implicit alignment with Hegel necessitates a reading of free energy minimization from the perspective of Hegel’s speculative philosophy.…

Cognitive Neurosciencemedia_common.quotation_subjectNeuroscience (miscellaneous)lcsh:RC321-571dialecticsEnactivism03 medical and health sciencesCellular and Molecular Neurosciencefree energy minimization0302 clinical medicineDevelopmental NeuroscienceHypothesis and TheoryContinental philosophyFristonContradictionSDG 7 - Affordable and Clean EnergyRelation (history of concept)lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologymedia_commonDialectic0303 health sciences/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyPhilosophyHegelianismEpistemologyLiving systemsplasticityCognitivism (psychology)Hegel030217 neurology & neurosurgeryNeuroscienceFrontiers in Systems Neuroscience
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Bayesian hypothesis testing: A reference approach

2002

Summary For any probability model M={p(x|θ, ω), θeΘ, ωeΩ} assumed to describe the probabilistic behaviour of data xeX, it is argued that testing whether or not the available data are compatible with the hypothesis H0={θ=θ0} is best considered as a formal decision problem on whether to use (a0), or not to use (a0), the simpler probability model (or null model) M0={p(x|θ0, ω), ωeΩ}, where the loss difference L(a0, θ, ω) –L(a0, θ, ω) is proportional to the amount of information δ(θ0, ω), which would be lost if the simplified model M0 were used as a proxy for the assumed model M. For any prior distribution π(θ, ω), the appropriate normative solution is obtained by rejecting the null model M0 wh…

CombinatoricsBinomial distributionStatistics and ProbabilityBayes' theoremDistribution (mathematics)Prior probabilityStatisticsMultivariate normal distributionContext (language use)Statistics Probability and UncertaintyLindley's paradoxMathematicsStatistical hypothesis testing
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Associations between success and failure in a face-to-face competition and psychobiological parameters in young women

2012

Within an evolutionary framework, in recent years some questions have been raised about whether women have a pattern of psychobiological response to social stress similar to that described in men. The main objective of this study was to analyze women's patterns of neuroendocrine, cardiovascular and mood responses to an individual competitive task, taking into account the outcome obtained. For this purpose, we measured salivary testosterone (T) and cortisol (C) levels, heart rate (HR) and blood pressure (BP), in addition to mood changes, in 40 healthy young women before, during and after a face-to-face laboratory competition. We also assessed some relevant psychological traits. Our results i…

Competitive BehaviorHydrocortisoneEndocrinology Diabetes and MetabolismBlood PressureAffect (psychology)Developmental psychologyYoung AdultEndocrinologyHeart RateAdaptation PsychologicalHeart rateHumansTestosteroneWomenYoung adultSalivaBiological PsychiatrySocial stressEndocrine and Autonomic SystemsTestosterone (patch)AffectPsychiatry and Mental healthBlood pressureMoodFollicular PhaseChallenge hypothesisFemalePsychologyStress PsychologicalPsychoneuroendocrinology
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