Zobrazeno 1 - 10
of 947
pro vyhledávání: '"P. A. Parshin"'
Publikováno v:
Аграрная наука Евро-Северо-Востока, Vol 24, Iss 3, Pp 487-497 (2023)
An experiment was conducted in the conditions of an industrial complex specializing in the intensive fattening of young cattle, to study the development patterns of respiratory and gastrointestinal pathologies in calves with a history of previous pro
Externí odkaz:
https://doaj.org/article/ea26a265c93b4440beeb95dc2d617c81
Publikováno v:
Разработка и регистрация лекарственных средств, Vol 12, Iss 2, Pp 174-184 (2023)
Introduction. One of the most progressive directions of the modern stage of development of biology is the deepening of knowledge about the mechanisms of regulation of metabolic processes, in particular about signal molecules that transmit information
Externí odkaz:
https://doaj.org/article/465c0646fd8d40ac822ef15edc459010
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
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
Reducing the shortage of organ donations to meet the demands of patients on the waiting list has being a major challenge in organ transplantation. Because of the shortage, organ matching decision is the most critical decision to assign the limited vi
Externí odkaz:
http://arxiv.org/abs/2107.10971