Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Petr Kuznetsov"'
Autor:
Olga Konovalova, Nadezhda Rimskaya-Korsakova, Petr Kuznetsov, Alexander Osadchiev, Maria Fedyaeva, Iuliia Moiseeva, Darya Purgina, Denis Kosmach, Igor Semiletov
Publikováno v:
Frontiers in Ecology and Evolution, Vol 12 (2024)
IntroductionMethane seeps influence surrounding benthic communities in different ways from slight changes in benthic abundance and biomass to major altering the species composition.Materials and MethodsWe studied benthic communities of 14 methane see
Externí odkaz:
https://doaj.org/article/dbb4e17370334e4fa88d27595adb242d
Autor:
Valentin Kokarev, Anna K. Zalota, Andrey Zuev, Alexei Tiunov, Petr Kuznetsov, Olga Konovalova, Nadezhda Rimskaya-Korsakova
Publikováno v:
PeerJ, Vol 11, p e15595 (2023)
Macrofauna can contribute substantially to the organic matter cycling on the seafloor, yet the role of terrestrial and chemosynthetic organic matter in the diets of microphagous (deposit and suspension) feeders is poorly understood. In the present st
Externí odkaz:
https://doaj.org/article/921da4b1ccef496b94a8bfc4774e3c47
Autor:
Dmitrii Glushkov, Andrey Zhuikov, Nikolai Zemlyansky, Andrey Pleshko, Olga Fetisova, Petr Kuznetsov
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 11060 (2023)
The work determines the characteristics of the processes of thermal decomposition and combustion when heating coal, cedar needles, and their mixtures with different fuel particle sizes. Based on the results of thermal analysis, the following characte
Externí odkaz:
https://doaj.org/article/b1406bbcfb1448a69ae03e5645134cdf
Publikováno v:
ACS ES&T Water. 3:1039-1049
Publikováno v:
Journal of Computational Biology
Journal of Computational Biology, 2022, 29 (4), pp.358-369. ⟨10.1089/cmb.2021.0365⟩
Journal of Computational Biology, 2022, 29 (4), pp.358-369. ⟨10.1089/cmb.2021.0365⟩
International audience; We study the problem of binary agreement in a spiking neural network (SNN). We show that binary agreement on n inputs can be achieved with O(n) of auxiliary neurons. Our simulation results suggest that agreement can be achieve
Bitumen extraction from oil sands ore in Alberta, Canada, has generated > 1.3 billion m3 of tailings that a slurry of fine silt and clay, residual bitumen and diluent hydrocarbons, deposited in ponds. Key environmental issues associated with oil sand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4179e765d384fe8898998505075fe4e
https://doi.org/10.21203/rs.3.rs-2379487/v1
https://doi.org/10.21203/rs.3.rs-2379487/v1
Publikováno v:
Zoomorphology
Zoomorphology, Springer Verlag, 2021, 140, pp.453-468. ⟨10.1007/s00435-021-00541-5⟩
Zoomorphology, Springer Verlag, 2021, ⟨10.1007/s00435-021-00541-5⟩
Zoomorphology, 2021, 140, pp.453-468. ⟨10.1007/s00435-021-00541-5⟩
Zoomorphology, Springer Verlag, 2021, 140, pp.453-468. ⟨10.1007/s00435-021-00541-5⟩
Zoomorphology, Springer Verlag, 2021, ⟨10.1007/s00435-021-00541-5⟩
Zoomorphology, 2021, 140, pp.453-468. ⟨10.1007/s00435-021-00541-5⟩
Although Bonellia viridis is the best studied echiurid species, many features of its anatomy and ultrastructure are still unclear. Detailed data on the organisation of the proboscis may help us to understand the echiurid biology and some aspects of t
Autor:
João Paulo Bezerra, Petr Kuznetsov
Publikováno v:
Proceedings of the 2022 ACM Symposium on Principles of Distributed Computing.
Publikováno v:
Proceedings of the 2022 ACM Symposium on Principles of Distributed Computing.
Autor:
Elena N. Temereva, Petr Kuznetsov
Publikováno v:
Doklady Biological Sciences. 496:21-24
The study of the anatomy and fine structure of Echiura is of great importance for understanding the biology of these animals, which lead a secretive life and dominate in various benthic communities. The first data on the organization of the siphonal