Search results for " exponent"

showing 10 items of 315 documents

Effect of surface disorder on the domain structure of PLZT ceramics

2017

ABSTRACTPb1-xLax(Zr0.65Ti0.35)1-x/4O3 (PLZT x/65/35) ceramics were studied by Piezoresponse Force Microscopy in order to understand the origin of domain structure as a function of La content. We show that the domain topology is mainly determined by the composition and grain size. The characteristic correlation length decreases with increasing La content, being sensitive also to the synthesis method. The behavior of the correlation length is linked to the macroscopic properties, showing a strong increase of disorder with La doping. The roughness exponent for the domain wall in PLZT 9/65/35 is close to 2/3 indicating 1D character of domain walls in relaxors.

010302 applied physicsSurface (mathematics)Materials scienceCondensed matter physicsDoping02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesGrain sizeElectronic Optical and Magnetic MaterialsDomain wall (magnetism)Piezoresponse force microscopyvisual_art0103 physical sciencesDomain (ring theory)Roughness exponentvisual_art.visual_art_mediumCeramic0210 nano-technologyFerroelectrics
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New delay-dependent stability of Markovian jump neutral stochastic systems with general unknown transition rates

2015

This paper investigates the delay-dependent stability problem for neutral Markovian jump systems with generally unknown transition rates GUTRs. In this neutral GUTR model, each transition rate is completely unknown or only its estimate value is known. Based on the study of expectations of the stochastic cross-terms containing the integral, a new stability criterion is derived in terms of linear matrix inequalities. In the mathematical derivation process, bounding stochastic cross-terms, model transformation and free-weighting matrix are not employed for less conservatism. Finally, an example is provided to demonstrate the effectiveness of the proposed results.

0209 industrial biotechnologygeneral uncertain transition rateStability criterionModel transformationDelay-dependent stability02 engineering and technologyTransition rate matrixStability (probability)neutral-type stochastic systemTheoretical Computer ScienceDelay dependentMatrix (mathematics)Markovian jump020901 industrial engineering & automationControl theoryBounding overwatch0202 electrical engineering electronic engineering information engineeringApplied mathematicsMathematicscomputer.programming_languageDelay-dependent stability; neutral-type stochastic system;Markovian switching; general uncertain transition rate; mean-square exponentially stable; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionMarkovian switchingComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsControl and Systems Engineeringmean-square exponentially stable020201 artificial intelligence & image processingcomputerInternational Journal of Systems Science
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Differential binding cell-SELEX method to identify cell-specific aptamers using high-throughput sequencing

2018

AbstractAptamers have in recent years emerged as a viable alternative to antibodies. High-throughput sequencing (HTS) has revolutionized aptamer research by increasing the number of reads from a few (using Sanger sequencing) to millions (using an HTS approach). Despite the availability and advantages of HTS compared to Sanger sequencing, there are only 50 aptamer HTS sequencing samples available on public databases. HTS data in aptamer research are primarily used to compare sequence enrichment between subsequent selection cycles. This approach does not take full advantage of HTS because the enrichment of sequences during selection can be due to inefficient negative selection when using live…

0301 basic medicineComputer scienceAptamerlcsh:MedicineGenomicsComputational biologyCell selexLigandsArticleDNA sequencingCell Line03 medical and health sciencessymbols.namesakeNegative selectionDrug Delivery Systems0302 clinical medicineCell Line TumorHumansGenomic librarylcsh:ScienceCarcinoma Renal CellSelection (genetic algorithm)Gene LibrarySanger sequencingMultidisciplinaryMolecular medicinelcsh:RSELEX Aptamer TechniqueHigh-throughput screeningComputational BiologyHigh-Throughput Nucleotide SequencingNucleotide MetabolismGenomicsAptamers NucleotideFlow CytometryMolecular medicineKidney Neoplasms030104 developmental biologyDrug DesignDrug deliverysymbolsNucleic Acid Conformationlcsh:QFunctional genomics030217 neurology & neurosurgerySystematic evolution of ligands by exponential enrichment
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Sharp capacity estimates for annuli in weighted R^n and in metric spaces

2017

We obtain estimates for the nonlinear variational capacity of annuli in weighted R^n and in metric spaces. We introduce four different (pointwise) exponent sets, show that they all play fundamental roles for capacity estimates, and also demonstrate that whether an end point of an exponent set is attained or not is important. As a consequence of our estimates we obtain, for instance, criteria for points to have zero (resp. positive) capacity. Our discussion holds in rather general metric spaces, including Carnot groups and many manifolds, but it is just as relevant on weighted R^n. Indeed, to illustrate the sharpness of our estimates, we give several examples of radially weighted R^n, which …

31C45 (Primary) 30C65 30L99 31B15 31C15 31E0 (Secondary)annulusmetric spacequasiconformal mappingMathematical Analysisexponent setsp-admissible weightSobolev spaceradial weightMathematics - Analysis of PDEsAnnulus; Doubling measure; Exponent sets; Metric space; Newtonian space; p-admissible weight; Poincare inequality; Quasiconformal mapping; Radial weight; Sobolev space; Variational capacityMatematisk analysPoincaré inequalitydoubling measureFOS: MathematicsNewtonian spacevariational capacityAnalysis of PDEs (math.AP)
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Łojasiewicz exponents, the integral closure of ideals and Newton polyhedra

2003

We give an upper estimate for the Łojasiewicz exponent $\ell(J,I)$ of an ideal $J\subseteq A(K^{n})$ with respect to another ideal I in the ring $A(K^{n})$ of germs analytic functions $f$ : $(K^{n},\mathrm{O})\rightarrow K$ , where $K=C$ or $R$ , using Newton polyhedrons. In particular, we give a method to estimate the Łojasiewicz exponent $\alpha_{0}(f)$ of a germ $f\in A(K^{n})$ that can be applied when $f$ is Newton degenerate with respect to its Newton polyhedron.

58A20Ring (mathematics)32S05General MathematicsDegenerate energy levelsClosure (topology)Łojasiewicz exponentsreal analytic functionsCombinatoricsPolyhedronExponentNewton polyhedronsIdeal (ring theory)Analytic functionMathematicsJournal of the Mathematical Society of Japan
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Thermodynamic properties of a liquid–vapor interface in a two-component system

2010

Abstract We report a complete set of thermodynamic properties of the interface layer between liquid and vapor two-component mixtures, using molecular dynamics. The mixtures consist of particles which have identical masses and diameters and interact with a long-range Lennard-Jones spline potential. The potential depths in dimensionless units for like interactions is 1 (for component 1) and 0.8 (for component 2). The surface excess entropy decreases when the temperature increases, so the surface has a negative excess heat capacity. This is a consequence of the fact that the surface tension decreases to zero at the critical point, proportional to ( T C , i − T ) 2 ν . The surface entropy decre…

Activity coefficientEquation of stateChemistryApplied MathematicsGeneral Chemical EngineeringThermodynamicsGeneral ChemistryHeat capacityIndustrial and Manufacturing EngineeringSurface tensionsymbols.namesakeGibbs isothermCritical point (thermodynamics)symbolsCritical exponentDimensionless quantityChemical Engineering Science
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Neural net classification of REM sleep based on spectral measures as compared to nonlinear measures

2001

In various studies the implementation of nonlinear and nonconventional measures has significantly improved EEG (electroencephalogram) analyses as compared to using conventional parameters alone. A neural network algorithm well approved in our laboratory for the automatic recognition of rapid eye movement (REM) sleep was investigated in this regard. Originally based on a broad range of spectral power inputs, we additionally supplied the nonlinear measures of the largest Lyapunov exponent and correlation dimension as well as the nonconventional stochastic measures of spectral entropy and entropy of amplitudes. No improvement in the detection of REM sleep could be achieved by the inclusion of …

AdultMaleCorrelation dimensionGeneral Computer ScienceEntropySleep REMLyapunov exponentElectroencephalographysymbols.namesakeStatisticsmedicineHumansEntropy (information theory)MathematicsQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testArtificial neural networkbusiness.industrySpectral entropyEye movementElectroencephalographyPattern recognitionNonlinear systemNonlinear DynamicssymbolsNeural Networks ComputerArtificial intelligencebusinessAlgorithmsBiotechnologyBiological Cybernetics
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Nonlinear analysis of continuous ECG during sleep II. Dynamical measures

2000

The hypothesis that cardiac rhythms are associated with chaotic dynamics implicating a healthy flexibility has motivated the investigation of continuous ECG with methods of nonlinear system theory. Sleep is known to be associated with modulations of the sympathetic and parasympathetic control of cardiac dynamics. Thus, the differentiation of ECG signals recorded during different sleep stages can serve to determine the usefulness of nonlinear measures in discriminating ECG states in general. For this purpose the following six nonlinear measures were implemented: correlation dimension D2, Lyapunov exponent L1. Kolmogorov entropy K2, as well as three measures derived from the analysis of unsta…

AdultMaleCorrelation dimensionGeneral Computer ScienceQuantitative Biology::Tissues and OrgansPhysics::Medical PhysicsPoison controlLyapunov exponentnonlinear systemElectroencephalographysymbols.namesakeReference ValuesControl theorymedicineHumanshumansleepSimulationSlow-wave sleepMathematicsAnalysis of VarianceSleep StagesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testreference valueElectroencephalographySleep in non-human animalsNonlinear systemNonlinear DynamicsphysiologysymbolsBiotechnologyBiological Cybernetics
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Surrogate data analysis of sleep electroencephalograms reveals evidence for nonlinearity

1996

We tested the hypothesis of whether sleep electroencephalographic (EEG) signals of different time windows (164 s, 82 s, 41 s and 20.5 s) are in accordance with linear stochastic models. For this purpose we analyzed the all-night sleep electroencephalogram of a healthy subject and corresponding Gaussian-rescaled phase randomized surrogates with a battery of five non-linear measures. The following nonlinear measures were implemented: largest Lyapunov exponent L1, correlation dimension D2, and the Green-Savit measures delta 2, delta 4 and delta 6. The hypothesis of linear stochastic data was rejected with high statistical significance. L1 and D2 yielded the most pronounced effects, while the G…

AdultMaleCorrelation dimensionGeneral Computer ScienceStochastic modellingModels NeurologicalLyapunov exponentElectroencephalographysymbols.namesakeStatisticsmedicineHumansMathematicsStochastic ProcessesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testStochastic processbusiness.industryLinear modelElectroencephalographyPattern recognitionNonlinear systemNonlinear DynamicsData Interpretation StatisticalLinear ModelssymbolsSleep (system call)Artificial intelligenceSleepbusinessCyberneticsBiotechnologyBiological Cybernetics
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Alterations of Continuous MEG Measures during Mental Activities

2000

In a pilot study, we investigated the topography of 11 continuous MEG measures for the eyes-opened and eyes-closed condition together with three simple mental tasks (mental arithmetic, visual imagery, word generation). One-minute recordings for each condition from 16 right-handed subjects were analyzed. The electrophysiological measures consisted of 6 spectral band measures together with spectral edge frequency and spectral entropy, plus the time-domain-based entropy of amplitudes (ENA) and the nonlinear measures correlation dimension D2 and Lyapunov exponent L1. In summary, our results indicate a pronounced task-dependent difference between the anterior and the posterior region, but no lat…

AdultMaleCorrelation dimensionmedicine.medical_specialtyEntropyFixation OcularLyapunov exponentAudiologyLateralization of brain functionDevelopmental psychologysymbols.namesakeCognitionMental ProcessesmedicineHumansEntropy (information theory)Biological PsychiatryBrainMagnetoencephalographySpectral bandsPsychiatry and Mental healthNeuropsychology and Physiological PsychologyAmplitudeNonlinear DynamicssymbolsFemaleSleep StagesSpectral edge frequencyPsychologyAlgorithmsMental imageNeuropsychobiology
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