Zobrazeno 1 - 10
of 577
pro vyhledávání: '"Kolesova, A. P."'
Sub-GeV dark matter particles evade standard direct detection studies since their typical energies in the galactic halo do not allow for detectable recoil of the heavy nuclei in the detectors. However, it was noted that if the dark matter particles h
Externí odkaz:
http://arxiv.org/abs/2409.05932
We demonstrate how a dark sector can provide a crucial link between a vacuum-dominated early universe and the later radiation-dominated epoch. As an example, we consider a feeble axion-like coupling of dark non-Abelian gauge fields with a single infl
Externí odkaz:
http://arxiv.org/abs/2406.10345
Autor:
Reznik, I. A., Kolesova, E. P., Pestereva, A. S., Baranov, K. N., Osin, Y. N., Bogdanov, K. V., Swart, J. W., Moshkalev, S. A., Orlova, A. O.
Microfluidic technology provides a solution to the challenge of continuous CaCO$_3$ particle synthesis. In this study, we utilized a 3D-printed microfluidic chip to synthesize CaCO$_3$ micro and nanoparticles in vaterite form. Our primary focus was o
Externí odkaz:
http://arxiv.org/abs/2312.13974
Autor:
Kolesova, H., Laine, M.
Publikováno v:
Phys.Lett.B 851 (2024) 138553
In view of recent interest in high-frequency detectors, broad features of gravitational wave signals from phase transitions taking place soon after inflation are summarized. The influence of the matter domination era that follows the slow-roll stage
Externí odkaz:
http://arxiv.org/abs/2311.03718
Autor:
Yousif, Mustafa Z, Paraskovia, Kolesova, Yang, Yifang, Zhang, Meng, Yu, Linqi, Rabault, Jean, Vinuesa, Ricardo, Lim, HeeChang
The present study proposes an active flow control (AFC) approach based on deep reinforcement learning (DRL) to optimize the performance of multiple plasma actuators on a square cylinder. The investigation aims to modify the control inputs of the plas
Externí odkaz:
http://arxiv.org/abs/2309.09197
Autor:
Yu. N. Belova, N. S. Kolesova
Publikováno v:
Трансформация экосистем, Vol 7, Iss 3, Pp 218-243 (2024)
In June–July 2021, the entomofauna of a storage facility for pyrite cinders in the vicinity of Cherepovets was studied. A total of 161 species of insects from 64 families and 8 orders were found. The orders with the greatest species diversity were
Externí odkaz:
https://doaj.org/article/7c0ea4cbba604640a9a6c655e72ba820
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 3, Pp 1161-1168 (2024)
We studied the features of implementing cloud computing services in electronic medicine by the example of four companies, which are world leaders in the IT sphere. We also identified the directions for implementing these services, their advantages, d
Externí odkaz:
https://doaj.org/article/63d5a314e95d4425bde64f229bdfe1db
Autor:
Yu, Linqi, Yousif, Mustafa Z., Lee, Young-Woo, Zhu, Xiaojue, Zhang, Meng, Kolesova, Paraskovia, Lim, Hee-Chang
In this study, an efficient deep-learning model is developed to predict unavailable parameters, e.g., streamwise velocity, temperature, and pressure from available velocity components. This model, termed mapping generative adversarial network (M-GAN)
Externí odkaz:
http://arxiv.org/abs/2304.07762
Publikováno v:
JHEP 05 (2023) 239
Taking axion inflation as an example, we estimate the maximal temperature ($T_{\rm max}^{ }$) that can be reached in the post-inflationary universe, as a function of the confinement scale of a non-Abelian dark sector ($\Lambda_{\rm IR}^{ }$). Below a
Externí odkaz:
http://arxiv.org/abs/2303.17973
Autor:
Dmitrii Usoltsev, Nikita Kolosov, Oxana Rotar, Alexander Loboda, Maria Boyarinova, Ekaterina Moguchaya, Ekaterina Kolesova, Anastasia Erina, Kristina Tolkunova, Valeriia Rezapova, Ivan Molotkov, Olesya Melnik, Olga Freylikhman, Nadezhda Paskar, Asiiat Alieva, Elena Baranova, Elena Bazhenova, Olga Beliaeva, Elena Vasilyeva, Sofia Kibkalo, Rostislav Skitchenko, Alina Babenko, Alexey Sergushichev, Alena Dushina, Ekaterina Lopina, Irina Basyrova, Roman Libis, Dmitrii Duplyakov, Natalya Cherepanova, Kati Donner, Paivi Laiho, Anna Kostareva, Alexandra Konradi, Evgeny Shlyakhto, Aarno Palotie, Mark J. Daly, Mykyta Artomov
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract The population of Russia consists of more than 150 local ethnicities. The ethnic diversity and geographic origins, which extend from eastern Europe to Asia, make the population uniquely positioned to investigate the shared properties of inhe
Externí odkaz:
https://doaj.org/article/5db0f79709df484e81724be4b4650737