Results 41 to 50 of about 2,895,298 (310)
On Tensorial Concomitants and the Non-Existence of a Gravitational Stress-Energy Tensor [PDF]
, 2009 Based on an analysis of what it may mean for one tensor to depend in the proper way on another, I prove that, under certain natural conditions, there can be no tensor whose interpretation could be that it represents gravitational stress-energy in general
Curiel, Erik
core
Tensor product of correspondence functors [PDF]
, 2019 As part of the study of correspondence functors, the present paper investigates their tensor product and proves some of its main properties. In particular, the correspondence functor associated to a finite lattice has the structure of a commutative ...
Thévenaz, Jacques, Bouc, Serge
core +2 more sources
Delivery of DNA‐encoded vaccines and proteins in mice using cutaneous suction‐mediated transfection
FEBS Open Bio, EarlyView.Cutaneous suction‐mediated transfection in mice for delivery of DNA‐encoded vaccines and proteins. A critical limitation of DNA vaccines and other therapeutics is transfection in vivo to produce the encoded antigens or therapeutic proteins. Cutaneous suction‐based methods have demonstrated effectiveness in many animal models and have been successfully ...
Emran O. Lallow +12 more
wiley +1 more source
Advances in Nonlinear Analysis, 2022 We study a model for a fluid showing viscoelastic and viscoplastic behavior, which describes the flow in terms of the fluid velocity and a symmetric deviatoric stress tensor.
Eiter Thomas +2 more
doaj +1 more source
Relative Tutte Polynomials of Tensor Products of Coloured Graphs [PDF]
Combinatorics, Probability and Computing, 2013 The tensor product (G1,G2) of a graph G1 and a pointed graph G2 (containing one distinguished edge) is obtained by identifying each edge of G1 with the distinguished edge of a separate copy of G2, and then removing the identified edges. A formula to compute the Tutte polynomial of a tensor product of graphs was originally given by Brylawski.
Yuanan Diao, Gábor Hetyei
openaire +3 more sources
Adenosine triphosphate as a modulator of protein interactions and stability
FEBS Open Bio, EarlyView.ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley +1 more source
EPJ Web of Conferences, 2013 Spin correlations for the ΛΛ and ΛΛ¯$Lambda ar Lambda $ pairs, generated in relativistic heavy ion collisions, and related angular correlations at the joint registration of hadronic decays of two hyperons, in which space parity is not conserved, are ...
Lyuboshitz Valery V. +1 more
doaj +1 more source
Approximating Ground States by Neural Network Quantum States
Entropy, 2019 Motivated by the Carleo’s work [Science, 2017, 355: 602], we focus on finding the neural network quantum statesapproximation of the unknown ground state of a given Hamiltonian H in terms of the best relative error and explore the influences of sum,
Ying Yang, Chengyang Zhang, Huaixin Cao
doaj +1 more source
The value of quantitative diffusion tensor imaging indices of spinal cord disorders
The Egyptian Journal of Radiology and Nuclear Medicine, 2021 Background Different lesions affecting the spinal cord can lead to myelopathy. Diffusion tensor imaging (DTI) is widely used to predict the degree of spinal cord microstructure affection and to assess axonal integrity and diffusion directionality.
Mohammad Koriem Mahmoud Omar +3 more
doaj +1 more source
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs [PDF]
, 2012 We describe an approach to speed-up inference with latent-variable PCFGs, whichhave been shown to be highly effective for natural language parsing. Our approachis based on a tensor formulation recently introduced for spectral estimation oflatent-variable
Collins, Michael, Cohen, Shay
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