Zobrazeno 1 - 10
of 3 374
pro vyhledávání: '"A A, Parshin"'
Autor:
Nawagamuwage, Sithara U., Williams, Elliot S., Islam, Md Muhaiminul, Parshin, Igor V., Burin, Alexander L., Busschaert, Nathalie, Rubtsov, Igor V.
In an effort to increase the speed and efficiency of ballistic energy transport via oligomeric chains, we performed measurements of the transport in compounds featuring long alkyl chains of up to 37 methylene units. Compounds of the N3-(CH2)n-COOMe t
Externí odkaz:
http://arxiv.org/abs/2405.13776
Mathematical equations have been unreasonably effective in describing complex natural phenomena across various scientific disciplines. However, discovering such insightful equations from data presents significant challenges due to the necessity of na
Externí odkaz:
http://arxiv.org/abs/2404.18400
In an era where symbolic mathematical equations are indispensable for modeling complex natural phenomena, scientific inquiry often involves collecting observations and translating them into mathematical expressions. Recently, deep learning has emerge
Externí odkaz:
http://arxiv.org/abs/2310.02227
Autor:
D. S. Parshin, M. A. Topchiev, V. A. Astakhin, O. B. Chechukhina, E. O. Smirnyagina, E. N. Ravskiy
Publikováno v:
Неотложная медицинская помощь, Vol 13, Iss 3, Pp 410-418 (2024)
INTRODUCTION. Multidrug-resistant (MDR) organisms are increasingly becoming a major surgical site infection (SSI); however, the clinical outcomes and risk factors associated with resistant pathogens in general surgery remain poorly understood.THE AIM
Externí odkaz:
https://doaj.org/article/2a0bb85f8ecb410780f947ff51541165
Publikováno v:
Transactions on Machine Learning Research, 2023
There is a recent surge in the development of spatio-temporal forecasting models in the transportation domain. Long-range traffic forecasting, however, remains a challenging task due to the intricate and extensive spatio-temporal correlations observe
Externí odkaz:
http://arxiv.org/abs/2305.18687
Optical phonons serve as the fast and efficient carriers of energy across periodic polymers due to their delocalization, large group velocity because of covalent bonding and large energy quantum compared to that for acoustic phonons, as it was observ
Externí odkaz:
http://arxiv.org/abs/2305.08972
Symbolic regression (SR) is a challenging task in machine learning that involves finding a mathematical expression for a function based on its values. Recent advancements in SR have demonstrated the effectiveness of pre-trained transformer-based mode
Externí odkaz:
http://arxiv.org/abs/2303.06833
Publikováno v:
Transactions on Machine Learning Research (TMLR), 2023
The utilization of programming language (PL) models, pre-trained on large-scale code corpora, as a means of automating software engineering processes has demonstrated considerable potential in streamlining various code generation tasks such as code c
Externí odkaz:
http://arxiv.org/abs/2301.13816
Autor:
R. A. Gaifutdinov, Yu. O. Kuyanova, D. A. Khelimsky, O. V. Krestyaninov, A. A. Tulupov, D. V. Parshin
Publikováno v:
Сибирский научный медицинский журнал, Vol 44, Iss 1, Pp 23-31 (2024)
Coronary artery disease is a widespread cause of death and disability in the population. Angioplasty of the coronary arteries is one of the most common methods of eliminating the cause of ischemia – stenosis of the coronary arteries. As a result of
Externí odkaz:
https://doaj.org/article/aadaae95e65a45b0b16c3805dfc51e7f
Publikováno v:
Акушерство, гинекология и репродукция, Vol 17, Iss 6, Pp 740-750 (2024)
Introduction. During pregnancy, a woman becomes vulnerable to develop symptoms of depression and anxiety, which in turn are associated with increased risk of perinatal complications, postpartum depression as well as behavioral problems in children.Ai
Externí odkaz:
https://doaj.org/article/6e25903f8c6d4f99a8eb31ced5fbbdf1