Search results for "Stability."

showing 10 items of 3015 documents

Periodic orbits of single neuron models with internal decay rate 0 < β ≤ 1

2013

In this paper we consider a discrete dynamical system x n+1=βx n – g(x n ), n=0,1,..., arising as a discrete-time network of a single neuron, where 0 &lt; β ≤ 1 is an internal decay rate, g is a signal function. A great deal of work has been done when the signal function is a sigmoid function. However, a signal function of McCulloch-Pitts nonlinearity described with a piecewise constant function is also useful in the modelling of neural networks. We investigate a more complicated step signal function (function that is similar to the sigmoid function) and we will prove some results about the periodicity of solutions of the considered difference equation. These results show the complexity of …

Quantitative Biology::Neurons and CognitionMathematical analysisActivation functionSigmoid functionstabilitySingle-valued functiondynamical systemError functionsymbols.namesakefixed pointModeling and SimulationMittag-Leffler functionStep functioniterative processsymbolsPiecewiseQA1-939nonlinear problemConstant functionAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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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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New set of 2D/3D thermodynamic indices for proteins. A formalism based on "Molten Globule" theory

2010

Abstract We define eight new macromolecular indices, and several related descriptors for proteins. The coarse grained methodology used for its deduction ensures its fast execution and becomes a powerful potential tool to explore large databases of protein structures. The indices are intended for stability studies, predicting Φ -values, predicting folding rate constants, protein QSAR/QSPR as well as protein alignment studies. Also, these indices could be used as scoring function in protein-protein docking or 3D protein structure prediction algorithms and any others applications which need a numerical code for proteins and/or residues from 2D or 3D format.

Quantitative structure–activity relationshipComputer sciencePhysics and Astronomy(all)Protein structure predictionMolten globuleFolding degreeFormalism (philosophy of mathematics)Protein indicesProtein structureFPIDocking (molecular)Protein stabilityPhysical chemistryBiological systemStatistical potentialMacromoleculeProtein folding descriptor
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tomocomd-camps and protein bilinear indices - novel bio-macromolecular descriptors for protein research: I. Predicting protein stability effects of a…

2010

Descriptors calculated from a specific representation scheme encode only one part of the chemical information. For this reason, there is a need to construct novel graphical representations of proteins and novel protein descriptors that can provide new information about the structure of proteins. Here, a new set of protein descriptors based on computation of bilinear maps is presented. This novel approach to biomacromolecular design is relevant for QSPR studies on proteins. Protein bilinear indices are calculated from the kth power of nonstochastic and stochastic graph–theoretic electronic-contact matrices, and , respectively. That is to say, the kth nonstochastic and stochastic protein bili…

Quantitative structure–activity relationshipProtein structureLinear regressionStability (learning theory)Bilinear interpolationCell BiologySegmented regressionRepresentation (mathematics)Linear discriminant analysisBiological systemMolecular BiologyBiochemistryMathematicsFEBS Journal
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Atom-Based Quadratic Indices to Predict Aquatic Toxicity of Benzene Derivatives to &lt;i&gt;Tetrahymena pyriformis&lt;/i&gt;

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 Analysis of Hypoglycemic Agents Using the Topological Indices

2001

The molecular topology model and discriminant analysis have been applied to the prediction of some pharmacological properties of hypoglycemic drugs using multiple regression equations with their statistical parameters. Regression analysis showed that the molecular topology model predicts these properties. The corresponding stability (cross-validation) studies performed on the selected prediction models confirmed the goodness of the fits. The method used for hypoglycemic activity selection was a linear discriminant analysis (LDA). We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and selection of new hypoglycemic agents, and we …

Quantitative structure–activity relationshipbusiness.industryStatistical parameterRegression analysisPattern recognitionGeneral ChemistryMachine learningcomputer.software_genreLinear discriminant analysisStability (probability)Computer Science ApplicationsComputational Theory and MathematicsLinear regressionArtificial intelligencebusinesscomputerPredictive modellingSelection (genetic algorithm)Information SystemsMathematics
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An LMI approach to quantized H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; control of uncertain linear systems with network-induced delays

2010

This paper deals with a convex optimization approach to the problem of robust network-based H ∞ control for linear systems connected over a common digital communication network with norm-bounded parameter uncertainties. Firstly, we investigate the effect of both the output quantization levels and the network conditions under static quantizers. Secondly, by introducing a descriptor technique, using Lyapunov-Krasovskii functional and a suitable change of variables, new required sufficient conditions are established in terms of delay-range-dependent linear matrix inequalities for the existence of the desired network-based quantized controllers with simultaneous consideration of network induced…

Quantization (physics)Exponential stabilityControl theoryBounded functionAttenuationConvex optimizationLinear systemRobust controlTelecommunications networkMathematics2010 Conference on Control and Fault-Tolerant Systems (SysTol)
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Stability of multiquarks in an improved flip-flop model of confinement

2012

We review some recent studies on the string model of confinement inspired by the strong-coupling regime of QCD and its application to exotic multiquark configurations. This includes two quarks and two antiquarks, four quarks and one antiquark, six quarks, and three quarks and three antiquarks with a careful treatment of the corresponding few-body problem.

Quantum chromodynamicsPhysicsQuarkParticle physics010308 nuclear & particles physicsHigh Energy Physics::LatticeNuclear TheoryHigh Energy Physics::PhenomenologyFísicaFOS: Physical sciences16. Peace & justice01 natural sciencesString (physics)Stability (probability)Atomic and Molecular Physics and Opticslaw.inventionHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)law[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]0103 physical sciencesHigh Energy Physics::Experiment010306 general physicsFlip-flop
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Coupled normal fluid and superfluid profiles of turbulent helium II in channels

2015

We perform fully coupled two--dimensional numerical simulations of plane channel helium II counterflows with vortex--line density typical of experiments. The main features of our approach are the inclusion of the back reaction of the superfluid vortices on the normal fluid and the presence of solid boundaries. Despite the reduced dimensionality, our model is realistic enough to reproduce vortex density distributions across the channel recently calculated in three--dimensions. We focus on the coarse--grained superfluid and normal fluid velocity profiles, recovering the normal fluid profile recently observed employing a technique based on laser--induced fluorescence of metastable helium molec…

Quantum fluidPhysicsCondensed matter physicsPlane (geometry)TurbulenceFluid Dynamics (physics.flu-dyn)FOS: Physical sciencesquantum turbulencechemistry.chemical_elementMechanicsPhysics - Fluid DynamicsCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsOpen-channel flowVortexSuperfluidityCondensed Matter - Other Condensed MatterchemistryMetastabilitySuperfluid heliumSettore MAT/07 - Fisica MatematicaHeliumOther Condensed Matter (cond-mat.other)
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