Search results for " Gradient"

showing 10 items of 575 documents

The purification and properties of nucleoside phosphotransferase from mucosa of chicken intestine

1984

Abstract (1) Nucleoside phosphotransferase (nucleotide:3′-deoxynucleoside 5′-phosphotransferase, EC 2.7.1.77) has been purified from chicken intestine mucosa to apparent homogeneity. The enzyme is represented by a multisubunit protein at different degrees of association. It can dissociate into a compoenent with a marked fall in catalytic activity. (2) The associated forms are similar to the enzyme previously purified from chick embryo as regards: substrate specificity both with respect to nucleoside monophosphate donors and to deoxyribonucleoside acceptors; sigmoidicity in the rate curve with a variable phosphate donor; instability to heat, dilution and lowering of pH; the activating and pr…

StereochemistryCations DivalentProtein subunitBiophysicsBiologyBiochemistrychemistry.chemical_compoundStructural BiologySettore BIO/10 - BiochimicaNucleoside phosphotransferaseCentrifugation Density GradientAnimalsUreaNucleotideEnzyme kineticsIntestinal MucosaMolecular Biologychemistry.chemical_classificationNucleotidesPhosphotransferasesPhosphatenucleoside phosphotransferaseDeoxyuridineDeoxyribonucleosideMolecular WeightKineticsEnzymechemistryBiochemistryAlcoholsChromatography GelElectrophoresis Polyacrylamide GelChickens
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Sticking Probability on Zeolites

2006

The sticking coefficient, i.e., the probability that, on hitting the surface of a nanoporous particle (zeolite), a molecule shall be able to enter the intracrystalline space, is a key quantity for the application of such materials in heterogeneous catalysis and molecular sieving. On the basis of pulsed field gradient NMR diffusion measurements and molecular dynamics simulations, typical values of this probability are found to be close to one. They exceed previous estimates on the basis of IR uptake measurements by many orders of magnitude.

Sticking coefficientNanoporousChemistryDiffusionSurfaces Coatings and FilmsMolecular dynamicsChemical physicsComputational chemistryMaterials ChemistryParticleOrders of magnitude (data)Physical and Theoretical ChemistrySticking probabilityPulsed field gradientThe Journal of Physical Chemistry B
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Stochastic algorithms for robust statistics in high dimension

2016

This thesis focus on stochastic algorithms in high dimension as well as their application in robust statistics. In what follows, the expression high dimension may be used when the the size of the studied sample is large or when the variables we consider take values in high dimensional spaces (not necessarily finite). In order to analyze these kind of data, it can be interesting to consider algorithms which are fast, which do not need to store all the data, and which allow to update easily the estimates. In large sample of high dimensional data, outliers detection is often complicated. Nevertheless, these outliers, even if they are not many, can strongly disturb simple indicators like the me…

Stochastic AlgorithmsAlgorithmes StochastiquesAlgorithmes RécursifsRecursive AlgorithmsStatistique RobusteAlgorithmes de Gradient StochastiquesAveragingStochastic Gradient AlgorithmsMoyennisationGrande DimensionRobust StatisticsFunctional DataDonnées Fonctionnelles[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]Geometric MedianHigh DimensionMédiane Géométrique
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A symmetric BEM approach to strain gradient elasticity for 2D static boundary-value problems

2014

The symmetric Galerkin Boundary Element Method is used to address a class of strain gradient elastic materials featured by a free energy function of the (classical) strain and of its (first) gradient. With respect to the classical elasticity, additional response variables intervene, such as the normal derivative of the displacements on the boundary, and the work-coniugate double tractions. The fundamental solutions - featuring a fourth order partial differential equations (PDEs) system - exhibit singularities which in 2D may be of the order 4 1/ r . New techniques are developed, which allow the elimination of most of the latter singularities. The present paper has to be intended as a resear…

Strain gradient elasticity Symmetric Galerkin BEMSettore ICAR/08 - Scienza Delle Costruzioni
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Strain gradient elasticity within the SGBEM

2014

Strain gradient elasticity; Symmetric Galerkin BEMStrain gradient elasticitySymmetric Galerkin BEMSettore ICAR/08 - Scienza Delle Costruzioni
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1980

A phenomenological theory of the Phase Distribution Chromatography (PDC)-separation effect is outlined and a theoretical equation for the measured PDC-calibration curves is given. Assuming a reversible-thermodynamical equilibrium in the polystyrene-PDC-column, only a relatively small part of the measured PDC-calibration curves could be explained: namely those running below their tangents. In order to explain the whole sigmoidal shape of the experimental curves, a theory of steady state in the system sol/gel was developed assuming deformation of the polymer coil near the gel front due to the stress related to the velocity gradient. The resulting dynamical flow-equilibrium differs highly from…

Stress (mechanics)Partition coefficientPartition function (statistical mechanics)Steady stateChromatographyDeformation (mechanics)ChemistryVelocity gradientPhase (matter)ThermodynamicsTangentDie Makromolekulare Chemie
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Fine–grained spinel ferrites: From the reactivity to magnetic properties

1998

The oxidation at low temperature of fine-grained ferrites containing oxidizable cations such as Cu + , Fe 2+ , Mn 2+ , Mo 3+ , V 3+ , has led to new mixed-valent cation deficient ferrites with a large number of vacancies. It has been demonstrated by DTG analysis that each cation oxidizes at a specific temperature in close relation with the cation-oxygen distance. The kinetics oxidation of each oxidizable cation has been explained on the basis of a diffusion-induced stress effect when these stresses are generated by the chemical gradient induced during the oxidation process. When fine-grained ferrites contain some Co-cations, it has been revealed that the stresses have a significant influenc…

Stress effectsChemistryInorganic chemistrySpinelKineticsCoercivityengineering.materialCondensed Matter PhysicsChemical synthesisElectronic Optical and Magnetic MaterialsengineeringReactivity (chemistry)Oxidation processElectrochemical gradientInstrumentationThe European Physical Journal Applied Physics
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A unifying variational framework for stress gradient and strain gradient elasticity theories

2015

Abstract Stress gradient elasticity and strain gradient elasticity do constitute distinct continuum theories exhibiting mutual complementary features. This is probed by a few variational principles herein presented and discussed, which include: i) For stress gradient elasticity, a (novel) principle of minimum complementary energy and an (improved-form) principle of stationarity of the Hellinger–Reissner type; ii) For strain gradient elasticity, a (known) principle of minimum total potential energy and a (novel) principle of stationarity of the Hu–Washizu type. Additionally, the higher order boundary conditions for stress gradient elasticity, previously derived by the author (Polizzotto, Int…

Stress gradientBoundary layerMechanics of MaterialsMechanical EngineeringLinear elasticityMathematical analysisGeneral Physics and AstronomyGeneral Materials ScienceBoundary value problemElasticity (economics)Strain gradientPotential energyMathematicsEuropean Journal of Mechanics - A/Solids
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An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling

2017

The goal of modeling sentences is to accurately represent their meaning for different tasks. A variety of deep learning architectures have been proposed to model sentences, however, little is known about their comparative performance on a common ground, across a variety of datasets, and on the same level of optimization. In this paper, we provide such a novel comparison for two popular architectures, Recursive Neural Tensor Networks (RNTNs) and Convolutional Neural Networks (CNNs). Although RNTNs have been shown to work well in many cases, they require intensive manual labeling due to the vanishing gradient problem. To enable an extensive comparison of the two architectures, this paper empl…

Structure (mathematical logic)Vanishing gradient problemPhrasebusiness.industryComputer scienceDeep learning05 social sciencesPattern recognition010501 environmental sciences01 natural sciencesConvolutional neural networkSet (abstract data type)0502 economics and businessBenchmark (computing)Artificial intelligence050207 economicsbusinessSentence0105 earth and related environmental sciences
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Thermobarometric constraints on pressure variations across the Plattengneiss shear zone of the Eastern Alps: implications for exhumation models durin…

2014

Forward and inverse mineral equilibria modelling of metapelitic rocks in the hangingwall and footwall of the Plattengneiss, a major shear zone in the Eastern Alps, is used to constrain their tectonometamorphic evolution and assess models for their exhumation. Forward (pseudosection) modelling of two metapelitic rocks suggests a steep clockwise P–T path with a near-isothermal decompression segment from a pressure peak at ~18–19 kbar and 670 °C to the metamorphic peak at 680–720 °C and 11–13 kbar. A subsequent decrease to 600–645 °C and 8–9 kbar is inferred from the late growth of staurolite in some samples. Conventional thermobarometric calculations (inverse modelling) on 18 samples with the…

SubductionMetamorphic rockGeologyGeochemistry and Petrologyvisual_artStauroliteSlabvisual_art.visual_art_mediumRelative pressureClockwiseShear zonePetrologyGeomorphologyGeologyPressure gradientJournal of Metamorphic Geology
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