Zobrazeno 1 - 10
of 9 396
pro vyhledávání: '"A. Vasilyeva"'
We consider a numerical solution of the mixed dimensional discrete fracture model with highly conductive fractures. We construct an unstructured mesh that resolves lower dimensional fractures on the grid level and use the finite element approximation
Externí odkaz:
http://arxiv.org/abs/2411.17903
We consider image denoising using a nonlinear diffusion process, where we solve unsteady partial differential equations with nonlinear coefficients. The noised image is given as an initial condition, and nonlinear coefficients are used to preserve th
Externí odkaz:
http://arxiv.org/abs/2409.15952
Publikováno v:
AIP Advances, Vol 12, Iss 3, Pp 035333-035333-5 (2022)
The article presents the results of studying the dynamics of non-magnetic bubbles and droplets in a magnetic fluid placed in an inhomogeneous magnetic field. Using a digital high-speed system for video recording, the mechanism of the detachment of a
Externí odkaz:
https://doaj.org/article/71f811d3193d4846aed9a0789a6d8b22
Autor:
Vasilyeva, T. I.
Let $n$ be a natural number. A subgroup $H$ of a group $G$ will be called $n$-modularly embedded in $G$ if either $H$ is normal in $G$ or $H\not= \mathrm{Core}_{G}(H)$, $|G:H| =p$ and $|G/\mathrm{Core}_{G}(H)|=pq^{n}$, $q^{n}$ divides $p-1$ for some
Externí odkaz:
http://arxiv.org/abs/2406.04704
Autor:
Vasilyeva, Maria
In this paper, we consider a time-dependent discrete network model with highly varying connectivity. The approximation by time is performed using an implicit scheme. We propose the coarse scale approximation construction of network models based on th
Externí odkaz:
http://arxiv.org/abs/2404.16554
Autor:
Vasilyeva, Maria
In this work, we present an efficient way to decouple the multicontinuum problems. To construct decoupled schemes, we propose Implicit-Explicit time approximation in general form and study them for the fine-scale and coarse-scale space approximations
Externí odkaz:
http://arxiv.org/abs/2404.16576
Autor:
Logashenko, Dmitry, Litvinenko, Alexander, Tempone, Raul, Vasilyeva, Ekaterina, Wittum, Gabriel
Publikováno v:
Journal of Computational Physics, Volume 503, 2024, 112854
We investigate the applicability of the well-known multilevel Monte Carlo (MLMC) method to the class of density-driven flow problems, in particular the problem of salinisation of coastal aquifers. As a test case, we solve the uncertain Henry saltwate
Externí odkaz:
http://arxiv.org/abs/2403.17018
Autor:
Maria E. Baulina, Nataliya A. Varako, Maria S. Kovyazina, Anatoliy A. Skvortsov, Svetlana A. Vasilyeva
Publikováno v:
Теоретическая и экспериментальная психология, Vol 17, Iss 4, Pp 57-78 (2024)
Background. A lot of brain damage including traumatic brain injuries during war can lead to persistent cognitive disorders and followed impaired functioning in everyday life. The main focus in dealing with such disorders is made on the neuropsycholog
Externí odkaz:
https://doaj.org/article/8a43927accce400daa1539f43adf70a3
Autor:
T. A. Vasilyeva
Publikováno v:
Российский паразитологический журнал, Vol 18, Iss 4, Pp 441-448 (2024)
The purpose of the research is to develop and test new dosage forms of fenbendazole for carp bothriocephalosis.Materials and methods. A formulation of four dosage forms based on fenbendazole has been developed. Laboratory lots of therapeutic feeds wi
Externí odkaz:
https://doaj.org/article/0f943bd9bc714e8493225086ad1f840e
Autor:
Arunah Chandran, Meike van Harten, Deependra Singh, Josep Vilaseca, Ausvydas Patasius, Krzysztof Tupikowski, Ángel Gómez Amorín, David Galvin, Héctor López, Juan Pablo Salazar, Anna Arnau, Gemma Cuberas, Gintare Miksiene, Katarzyna Hodyra-Stefaniak, Monika Litwin, Małgorzata Krynicka-Duszyńska, Paweł Zawadzki, Adam Maciejczyk, Gillian Horgan, Pieter Vynckier, Lieven Annemans, Milagros Otero-Garcia, Pia Kirkegaard, Mette Bach Larsen, Sofie Meyer Andersen, Grace McKinney, Vera Vasilyeva, Peter-Paul Willemse, Roderick van den Bergh, Lionne D.F. Venderbos, Sarah Collen, Hendrik van Poppel, Monique J. Roobol, Partha Basu
Publikováno v:
European Urology Open Science, Vol 70, Iss , Pp 8-17 (2024)
Prostate cancer (PCa) is a major public health concern for men globally and the most commonly diagnosed cancer among men in the European Union (EU). Despite large trials suggesting benefits from early detection of PCa, risks of overdiagnosis and over
Externí odkaz:
https://doaj.org/article/ee0bce9d091c4d9696ca7ff2d1487ced