Zobrazeno 1 - 10
of 2 522
pro vyhledávání: '"A. A. Bokov"'
The goal of this work is to develop accurate Machine Learning (ML) models for predicting the assembly axial neutron flux profiles in the SAFARI-1 research reactor, trained by measurement data from historical cycles. The data-driven nature of ML model
Externí odkaz:
http://arxiv.org/abs/2312.14193
Autor:
Yulia A. Gavrilova, Yuri A. Bokov
Publikováno v:
RUDN Journal of Law, Vol 28, Iss 3, Pp 546-564 (2024)
The artile examines the phenomenon of digital citizenship in legal science. Interest in digital citizenship is driven by the rapid development of digital society and technology, radical transformations of individuals’s identity and legal culture in
Externí odkaz:
https://doaj.org/article/f9b1ab4fc5c64448814cbcdccd70c959
Autor:
Aleksandr А. Andreev, Aleksandr A. Glukhov, Anton P. Ostroushko, Anastasiya Y. Laptieva, Dmitrii A. Bokov, Nikolai O. Mikhailov, Pavel A. Konovalov
Publikováno v:
Наука и инновации в медицине, Vol 9, Iss 3, Pp 231-236 (2024)
The use of robotic systems has long gone beyond experimental medicine. More than 200 thousand operations per year are carried out with the use of just the most popular robotic complex Da Vinci. Further development of robotics will contribute to impro
Externí odkaz:
https://doaj.org/article/21e9717cfbc84bcc9bf7baeb5ca63ecf
Publikováno v:
Vestnik MGSU, Vol 19, Iss 9, Pp 1530-1540 (2024)
Introduction. Determination of strength and deformation characteristics of soils composing the soil mass is the key process of calculation and design of structures of all types. High accuracy in determining mechanical characteristics plays a huge rol
Externí odkaz:
https://doaj.org/article/71881224ff624067a8e896b990518c18
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-7 (2016)
Relaxor ferroelectrics possess potential microwave frequency applications due to characteristic dielectric relaxation properties however the underlying mechanism is debated. Here, the authors use first-principles-based molecular dynamic simulations t
Externí odkaz:
https://doaj.org/article/78a7defdf705419b9fb677d9409c420a
Autor:
Salamatin, D. A., Krasnorussky, V. N., Semeno, A. V., Bokov, A. V., Velichkov, A., Surowiec, Z., Tsvyashchenko, A. V.
The magnetic $H$-$T$ phase diagram and magnetocaloric effect in the recently discovered high-temperature heavy-fermion compound YbCoC$_2$ have been studied. With the increase in the external magnetic field YbCoC$_2$ experiences the metamagnetic trans
Externí odkaz:
http://arxiv.org/abs/2303.07802
Autor:
Benjamin Dudoignon, Anna Maruani, Richard Delorme, Maxime Patout, Mylene Fefeu, Pierre Ellul, Plamen Bokov, Christophe Delclaux
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract Background Congenital central hypoventilation syndrome (CCHS) is a rare condition characterized by alveolar hypoventilation and autonomic nervous system (ANS) dysfunction requiring long-term ventilation. CCHS could constitute a risk factor o
Externí odkaz:
https://doaj.org/article/1eed30b0314040699fc8a29a35000867
Autor:
A. N. Luferov, N. V. Bobkova, D. O. Bokov, M. N. Rodin, E. V. Sergunova, T. Yu. Kovaleva, T. D. Rendyuk, A. V. Strelyaeva, A. M. Antsyshkina, T. V. Prostodusheva, S. G. Zaichikova, V. M. Baeva, I. B. Perova, K. I. Eller, V. V. Bessonov
Publikováno v:
Разработка и регистрация лекарственных средств, Vol 13, Iss 2, Pp 106-117 (2024)
Introduction. Yellow wood anemone (Anemone ranunculoides L.) is a herbaceous perennial. This plant grows in the European parts of Russia, Ciscaucasia, Siberia, Central Europe and other regions. It has many different pharmacological activities: immuno
Externí odkaz:
https://doaj.org/article/447b1874aeb74f52bd3e86e96b2c56f3
Publikováno v:
International Journal for Computational Civil and Structural Engineering, Vol 20, Iss 3 (2024)
This paper presents the results of numerical modeling of the joint filtration-deformation problem for a storage dam taking into account its construction and filling of the pond bowl in 3 stages. Two variants of the structure operation were considered
Externí odkaz:
https://doaj.org/article/295422466bbf45a98d2ee184ab2e2420
Artificial Neural Networks (ANNs) have been successfully used in various nuclear engineering applications, such as predicting reactor physics parameters within reasonable time and with a high level of accuracy. Despite this success, they cannot provi
Externí odkaz:
http://arxiv.org/abs/2211.08654