Search results for "probability"

showing 10 items of 3417 documents

"Table 2" of "Measurement of the correlations between the polar angles of leptons from top quark decays in the helicity basis at $\sqrt{s}=7$TeV usin…

2017

The correlation factors for the statistical uncertainties between any two bins of the unfolded distribution.

Quantitative Biology::BiomoleculesP P --> LEPTON+ NU LEPTON- NUBAR BOTTOM BOTTOMBAR XDifferential Cross SectionP P --> W+ W- BOTTOM BOTTOMBAR XTopTop Production7000.0Astrophysics::Cosmology and Extragalactic AstrophysicsPhysics::Data Analysis; Statistics and ProbabilityP P --> TOP TOPBAR XInclusiveProton-Proton ScatteringW Pair ProductionAngular DependenceW ProductionDSIG/DTHETA
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Experimental study of bifurcations in modified FitzHugh-Nagumo cell

2003

A nonlinear electrical circuit is proposed as a basic cell for modelling the FitzHugh-Nagumo equation with a modified excitability. Depending on initial conditions and parameters, experiments show various dynamics including stability with excitation threshold, bistability and oscillations.

Quantitative Biology::Neurons and CognitionBistabilityDynamics (mechanics)Fitzhugh nagumoStability (probability)law.inventionNonlinear systemClassical mechanicsControl theorylawElectrical networkElectrical and Electronic EngineeringExcitationMathematicsElectronics Letters
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Transition densities for stochastic Hodgkin-Huxley models

2012

We consider a stochastic Hodgkin-Huxley model driven by a periodic signal as model for the membrane potential of a pyramidal neuron. The associated five dimensional diffusion process is a time inhomogeneous highly degenerate diffusion for which the weak Hoermander condition holds only locally. Using a technique which is based on estimates of the Fourier transform, inspired by Fournier 2008, Bally 2007 and De Marco 2011, we show that the process admits locally a strictly positive continuous transition density. Moreover, we show that the presence of noise enables the stochastic system to imitate any possible deterministic spiking behavior, i.e. mixtures of regularly spiking and non-spiking ti…

Quantitative Biology::Neurons and CognitionProbability (math.PR)FOS: Mathematics60 J 60Mathematics - Probability
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Ergodicity and limit theorems for degenerate diffusions with time periodic drift. Applications to a stochastic Hodgkin-Huxley model

2015

We formulate simple criteria for positive Harris recurrence of strongly degenerate stochastic differential equations with smooth coefficients when the drift depends on time and space and is periodic in the time argument. There is no time dependence in the diffusion coefficient. Our criteria rely on control systems and the support theorem, existence of an attainable inner point of full weak Hoermander dimension and of some Lyapunov function. Positive Harris recurrence enables us to prove limit theorems for such diffusions. As an application, we consider a stochastic Hodgkin-Huxley model for a spiking neuron including its dendritic input. The latter carries some deterministic periodic signal …

Quantitative Biology::Neurons and CognitionProbability (math.PR)FOS: MathematicsMathematics - Probability
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Appendix D. Pairwise Pearson correlation coefficients between the commercial and ecological traits considered in the meta-analysis.

2016

Pairwise Pearson correlation coefficients between the commercial and ecological traits considered in the meta-analysis.

Quantitative Biology::Populations and EvolutionPhysics::Data Analysis; Statistics and ProbabilityQuantitative Biology::Genomics
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Calculation of chromatographic properties of barbiturates by molecular topology

1995

A study has been made of the relationship between the RF values obtained by thin layer chromatography for a group of barbiturates and the connectivity indices proposed by Kier and Hall. By using multivariable regression we obtained the corresponding connectivity functions, which were selected on the basis of their respective statistics parameters. The regression analysis of the connectivity functions shows a correct prediction of the experimental elution sequence for this group of molecules on silicagel with two mobile phases of different polarity. The corresponding random and stability studies of the different prediction models selected were carried out, demonstrating good stability and nu…

Quantitative structure–activity relationshipChromatographyChemistryPolarity (physics)ElutionMultivariable calculusOrganic ChemistryClinical BiochemistryRegression analysisStability (probability)BiochemistryAnalytical ChemistryLinear regressionRandomnessChromatographia
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Prediction of chromatographic parameters for some anilines by molecular connectivity

1995

The possible relation existing between RF values obtained by thin-layer chromatography for a group of anilines with connectivity indices proposed by Kier and Hall has been studied. Using multivariable regression the corresponding connectivity functions, selected for their respective correlation coefficients, standard deviations, Snedecor's F and Student's t were obtained. Regression analysis of the connectivity functions gives a correct prediction of the experimental elution sequence for this group of substances on silica gel stationary phases and various mobile phases of different polarity. The corresponding random and stability studies of the different prediction models selected were carr…

Quantitative structure–activity relationshipChromatographyElutionChemistryPolarity (physics)Multivariable calculusOrganic ChemistryClinical BiochemistryRegression analysisBiochemistryStability (probability)Standard deviationAnalytical ChemistryRandomnessChromatographia
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QSAR multi-target in drug discovery: a review.

2013

The main purpose of the present review is to summarize the most significant works up to date in the field of multi-target QSAR (mt-QSAR), in order to emphasize the importance that this technique has acquired over the last decade. Unlike traditional QSAR techniques, mt-QSAR permits to calculate the probability of activity of a given compound against different biological or pharmacological targets. In simple terms, a single equation for multiple outputs. To emphasize more the importance of the mt-QSAR in the field of drug discovery, we also present a novel mt-QSAR model, made on purpose by our research group, for the prediction of the susceptibility of Gram + and Gram - anaerobic bacteria.

Quantitative structure–activity relationshipDrug discoveryQuantitative Structure-Activity RelationshipGeneral MedicineComputational biologyBiologyBioinformaticsMulti targetDrug DiscoverySingle equationMolecular MedicineAnimalsHumansAnaerobic bacteriaMolecular Targeted TherapyAlgorithmsProbabilityCurrent computer-aided drug design
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Atom-Based Quadratic Indices to Predict Aquatic Toxicity of Benzene Derivatives to <i>Tetrahymena pyriformis</i>

2009

The non-stochastic and stochastic atom-based quadratic indices are applied to develop quantitative structure-activity relationship (QSAR) models for the prediction of aquatic toxicity. The used dataset, consisting of 392 benzene derivatives for which toxicity data to the ciliate Tetrahymena pyriformis were available, is divided into training and test sets. The obtained multiple linear regression models are statistically significant (R2 = 0.787 and s = 0.347, R2 = 0.806 and s = 0.329, for non-stochastic and stochastic quadratic indices, respectively) and show rather good stability in a cross-validation experiment (q2 = 0.769 and scv = 0.357, q2 = 0.791 and scv = 0.337, correspondingly). In a…

Quantitative structure–activity relationshipQuadratic equationTest setToxicityLinear regressionTetrahymena pyriformisBiological systemStability (probability)MathematicsAquatic toxicologyProceedings of The 13th International Electronic Conference on Synthetic Organic Chemistry
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QSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study

2010

Abstract Cluster analysis (CA), Linear and Quadratic Discriminant Analysis (L(Q)DA), Binary Logistic Regression (BLR) and Classification Tree (CT) are applied on two datasets for description of tyrosinase inhibitory activity from molecular structures. The first set included 701 tyrosinase inhibitors (TI) that are used for performance of inhibitory and non-inhibitory activity and the second one is for potency estimation of active compounds. 2D TOMOCOMD-CARDD atom-based quadratic indices are computed as molecular descriptors. CA is used to “rational” design of training (TS) and prediction set (PS) but it shows of not being adequate as classification technique. On the first data, the overall a…

Quantitative structure–activity relationshipReceiver operating characteristicProcess Chemistry and TechnologyDecision tree learningPosterior probabilityQuadratic classifierComputer Science ApplicationsAnalytical ChemistrySet (abstract data type)Statistical classificationMolecular descriptorStatisticsSpectroscopySoftwareMathematicsChemometrics and Intelligent Laboratory Systems
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