1,722,052 research outputs found

    Superlinear Summation of Information in Premotor Neuron Pairs

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    Whether premotor/motor neurons encode information in terms of spiking frequency or by their relative time of firing, which may display synchronization, is still undetermined. To address this issue, we used an information theory approach to analyze neuronal responses recorded in the premotor (area F5) and primary motor (area F1) cortices of macaque monkeys under four different conditions of visual feedback during hand grasping. To evaluate the sensitivity of spike timing correlation between single neurons, we investigated the stimulus dependent synchronization in our population of pairs. We first investigated the degree of correlation of trial-to-trial fluctuations in response strength between neighboring neurons for each condition, and second estimated the stimulus dependent synchronization by means of an information theoretical approach. We compared the information conveyed by pairs of simultaneously recorded neurons with the sum of information provided by the respective individual cells. The information transmission across pairs of cells in the primary motor cortex seems largely independent, whereas information transmission across pairs of premotor neurons is summed superlinearly. The brain could take advantage of both the accuracy provided by the independency of F1 and the synergy allowed by the superlinear information population coding in F5, distinguishing thus the generalizing role of F5.Fil: Montani, Fernando Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; ArgentinaFil: Oliynyk, Andriy. Università di Ferrara; ItaliaFil: Fadiga, Luciano. Università di Ferrara; Itali

    Dataset for: Future Preventive Gene Therapy of Polygenic Diseases from a Population Genetics Perspective

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    Zipped simulation results, source code and Windows 10 executables for chapter 2-5 of: Future Preventive Gene Therapy of Polygenic Diseases from a Population Genetics Perspectiv

    Dataset for: Future Preventive Gene Therapy of Polygenic Diseases from a Population Genetics Perspective

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    Zipped simulation results, source code and Windows 10 executables for chapter 2-5 of: Future Preventive Gene Therapy of Polygenic Diseases from a Population Genetics Perspectiv

    Machine learning descriptors in materials chemistry: Oliynyk elemental property dataset

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    The Oliynyk elemental property data contains 99 elemental features for atomic numbers from 1 to 92, including thermodynamic properties, electronic structure data, size, electronegativity, and bulk properties such as melting point, density, and conductivity.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

    Finite deformation hyperplasticity theory for crushable, cemented granular materials

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    The work is focused on the formulation of a thermodynamically–based constitutive theory for granular, cemented geomaterials, often characterized by a open structure with high porosity and voids of large diameter. Upon mechanical degradation processes such as bond rupture and grain crushing, these material undergo large volumetric and shear strains, and in some cases the deformations are so large that the usual assumption of linearized kinematics may be not applicable. In the first part of this work, the theory of hyperplasticity is extended to the finite deformation regime by adopting a multiplicative split of the deformation gradient into an elastic and a plastic part, under the assumption of material isotropy. Grain breakage and bond damage processes are accounted for through two micromechanically–inspired internal variables. A specific constitutive model for carbonatic cemented sands and calcarenites is proposed as a relevant example of application. In the second part, an implicit stress–point algorithm has been developed which is amenable to closed form linearization, for the implementation of the model into standard FE platforms. A series of numerical tests have demonstrated the accuracy and efficiency of the proposed algorithm. The simulation of plane strain biaxial tests, modeled as boundary–value problems, has highlighted the role played by geometric non–linearity in determining the evolution of the specimen deformation upon reaching a bifurcation condition

    Machine learning descriptors in materials chemistry: Oliynyk elemental property dataset

    No full text
    The Oliynyk elemental property data contains 99 elemental features for atomic numbers from 1 to 92, including thermodynamic properties, electronic structure data, size, electronegativity, and bulk properties such as melting point, density, and conductivity.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

    Indicators of shots effectiveness of the student's basketball team of the first league "Univerbasket".

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    Despite the level of competitions, sports qualification of their participants, precisely executed throws influence the result most of all. It is necessary to make it in 24 seconds which are allotted on attack or in 14 seconds if this attack is repeated. The most productive action in attack is throwing from any range. Even the scored free throw changes the score on +1 point for the benefit of those who score it. Technical and tactical actions of the team in attack are directed to creating conditions for a shot for one of players. But, actions of the player, who finishes fast or position attack of the team were effective, he constantly has to perfect his skill in technical actions at trainings which tension answers by heat and resistance to the competitive level of load. The analysis of the last publications, which are devoted to the analysis of the game activity, is specified that this question disturbs experts both in elite sport, and in other links. But there aren't enough data on the level of individual skill of players of student’s and amateur basketball teams, teams of the first league and junior league of Ukraine which have no sufficient experience in the competitive activity yet. Purpose: to define effectiveness of shots from various ranges of the student’s team of the first league "Univerbasket" in the first round of competitions. Material and methods: analysis of scientific and methodical literature; pedagogical observations; content – analysis of FBU statistical protocols; methods of mathematical statistics. Results: data on indicators of effectiveness of shots from different ranges of the student’s team of the first league "Univerbasket" in the first round of the Ukrainian championship are obtained. Conclusions: It is established that the team “Univerbasket” scores the largest number of points for the game from close and middle ranges. Two-point shots had the best effectiveness during the first circle – 48,5%

    A finite deformation multiplicative plasticity model with non–local hardening for bonded geomaterials

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    The paper presents a finite deformation, isotropic hardening, non-associative elastic-plastic constitutive model (FD_MILAN model) for describing the mechanical behavior of a wide range of bonded natural geomaterials such as stiff overconsonsolidated clays, porous soft rocks or bio-improved soils. The formulation of the model is based on the multiplicative split of the deformation gradient and on the assumption of hyperelastic behavior. To deal with the occurrence of strain localization, typically observed in this class of geomaterials, the model has been equipped with a non-local version of the hardening laws. This approach is capable of regularizing the pathological mesh dependence occurring in the post-localization regime when adopting classical plasticity models. In view of its application to practical geotechnical problems characterized by large displacements and deformations within a hydro-mechanical coupled environment, the model has been implemented in the recently developed Particle Finite Element code G-PFEM for geomechanics applications. To demonstrate the effectiveness of the numerical implementation, a series of numerical simulations has been performed considering two representative boundary value problems: the modeling of shear localization in plane strain biaxial tests and the simulation of CPTu tests in a saturated porous soil. The results of biaxial test simulations have highlighted the role of the characteristic length in controlling the thickness of the localized zone and the effect of the confining pressure in determining the pattern of shear band formation. An interesting feature emerging from the partially drained CPTu simulation results is the progressive formation of persistent shear bands, which originate from the cone tip and propagate outwards along the entire penetration depth

    PFEM Modeling of Strain Localization Processes in Non-local Multiplicative Plasticity

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    A fully non-linear PFEM platform developed for coupled flow and deformation processes in saturated structured soils is employed in this work to explore the possibility of modeling the occurrence of strain localization and the evolution of the displacement field in the post-localization regime without the pathological mesh-dependence typically observed in conventional non-linear FEM simulation. The proposed formulation adopts an isotropic hardening elastoplastic model for bonded geomaterials, developed in the framework of multiplicative plasticity, equipped with non-local hardening laws of the integral type for both density- and bonding-related internal variables. These hardening laws provide the material with an internal length scale based on the size of the neighborhood where the non-local averaging is performed. A number of PFEM simulations of plane strain compression tests on ideal calcarenite specimens have been performed to explore the convergence of the numerical solution in the post-localization regime as the element size is reduced. The convergence study is focused on simulations with non-uniform, adaptive discretizations, exploring the convergence of the solution as the adopted minimum element size of the mesh is reduced. The results of the convergence study demonstrate the effectiveness of the adopted non-local approach in eliminating the pathological mesh-dependence in presence of strain localization, in the context of h-adaptive PFEM simulations

    Primary decompositions of unital locally matrix algebras

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    We construct a unital locally matrix algebra of uncountable dimension that (1) does not admit a primary decomposition, (2) has an infinite locally finite Steinitz number. It gives negative answers to questions from [V. M. Kurochkin, On the theory of locally simple and locally normal algebras, Mat. Sb., Nov. Ser. 22(64)(3) (1948) 443–454; O. Bezushchak and B. Oliynyk, Unital locally matrix algebras and Steinitz numbers, J. Algebra Appl. (2020), online ready]. We also show that for an arbitrary infinite Steinitz number s there exists a unital locally matrix algebra A having the Steinitz number s and not isomorphic to a tensor product of finite-dimensional matrix algebras
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