Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Ruslan Suleymanov"'
Autor:
Aleksandr Minnegaliev, Evgeny Abakumov, Ruslan Suleymanov, Gleb Zaitsev, Alexandr Davydychev, Ekaterina Dorogaya, Aleksei Zverev, Evgeny Andronov, Ilgiz Asylbaev
Publikováno v:
Ecologies, Vol 5, Iss 2, Pp 233-247 (2024)
Studying the soils in the periodical flood zone of three reservoirs is of promising importance for their subsequent return to economic activities. Research on the bacterial and archaeal communities of soils that are periodically or continuously flood
Externí odkaz:
https://doaj.org/article/73281ab1a1c64570a7d8c1cc620ca0bc
Autor:
Ruslan Suleymanov, Rita Kamalova, Azamat Suleymanov, Ilgiza Adelmurzina, Azamat Nigmatullin, Rishat Khamidullin, Elvera Bakieva, Marija Yurkevich
Publikováno v:
Zbornik Radova: Geografski institut "Jovan Cvijić", Vol 73, Iss 3 (2023)
The article provides an assessment of climatic characteristics and changes in floodplain soils after the implementation of a drainage system. The study was conducted in the northern forest-steppe zone of the East European Plain (Republic of Bashkorto
Externí odkaz:
https://doaj.org/article/f7c3e3dcc1714aaca6f910cfa47cf318
Autor:
Ekaterina Dorogaya, Evgeny Abakumov, Aleksei Zverev, Evgenia Novikova, Mikhail Garshin, Aleksandr Minnegaliev, Ruslan Suleymanov
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3328 (2024)
This research evaluates the development of microbiomes in primary soils, forming in various mining dumps in the arid terrain in the Republic of Bashkortostan, Russia. A metagenomic analysis of the communities was performed by sequencing extended gene
Externí odkaz:
https://doaj.org/article/94e94928de7a47e4a16fbe3f24aae505
Autor:
Ruslan Suleymanov, Ekaterina Dorogaya, Aufar Gareev, Aleksandr Minnegaliev, Mansur Gaynanshin, Sergey Zaikin, Larisa Belan, Iren Tuktarova, Azamat Suleymanov
Publikováno v:
Ecologies, Vol 3, Iss 4, Pp 530-538 (2022)
The ecotoxicological condition of soils around mining areas is most often unsatisfactory, which affects entire ecosystems and human health. This research sought to analyze the morphological, agrochemical properties, and content of heavy metals (Cd, C
Externí odkaz:
https://doaj.org/article/131f34b4900641f9af12b3b16db40b7e
Autor:
Azamat Suleymanov, Vyacheslav Polyakov, Mikhail Komissarov, Ruslan Suleymanov, Ilyusya Gabbasova, Timur Garipov, Irik Saifullin, Evgeny Abakumov
Publikováno v:
Soil and Water Research, Vol 17, Iss 4, Pp 222-232 (2022)
The morphological, water-physical and chemical properties, basal respiration of the southern chernozem (Chernozem Haplic Endosalic) and erosional sediment in the Trans-Ural steppe zone (Republic of Bashkortostan, Russia) were studied. The surface soi
Externí odkaz:
https://doaj.org/article/6047585916c34389a11093db99e8b0cf
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 115-120 (2021)
The paper investigates one of the approaches based on machine learning methods aimed at finding and identifying similar disciplines. In the research we used two most popular methods of machine learning to process text data BERT and Doc2Vec. Machine l
Externí odkaz:
https://doaj.org/article/36e925b6df394c2e8f9ab6483f73ab39
Autor:
Nikolay Fedorov, Pavel Shirokikh, Svetlana Zhigunova, Elvira Baisheva, Ilshat Tuktamyshev, Ilnur Bikbaev, Mikhail Komissarov, Gleb Zaitsev, Raphak Giniyatullin, Ilyusya Gabbasova, Ruslan Urazgildin, Aleksey Kulagin, Ruslan Suleymanov, Dilara Gabbasova, Albert Muldashev, Shamil Maksyutov
Publikováno v:
Agriculture, Vol 13, Iss 7, p 1427 (2023)
Due to the global increase in CO2 in the atmosphere, studies focusing on the carbon balance in forest ecosystems are currently particularly relevant. Abandoned agricultural lands could provide an important contribution to carbon sequestration in many
Externí odkaz:
https://doaj.org/article/a9cdf9b3779b4de8a73eecd311c7b151
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3158 (2023)
This article aims to explore the use of machine learning (ML) methods for mapping the distribution of mercury (Hg) content in topsoil, using the city of Ufa (Russia) and adjacent areas as an example. For this purpose, a soil dataset of 250 points sam
Externí odkaz:
https://doaj.org/article/5f065f4a825045a4a2f26e076faa8a1b
Autor:
Ruslan Suleymanov, Mikhail Yakimov, Peter Liebelt, Pavel Shirokikh, Azamat Suleymanov, Evgeny Abakumov, Ilgiza Adelmurzina, Elvera Bakieva, Ilgiz Asylbaev
Publikováno v:
Eurasian Journal of Soil Science, Vol 10, Iss 3, Pp 251-258 (2021)
The article presents the results of complex research (research was conducted in 2019) of the Botanical natural monument territory “Pine forest near Venetsiya village” (Russia). In 2007, part of the nature monument territory was destroyed by a hur
Externí odkaz:
https://doaj.org/article/b178472499f14784bf041cafe058106d
Autor:
Azamat Suleymanov, Ilyusya Gabbasova, Ruslan Suleymanov, Evgeny Abakumov, Vyacheslav Polyakov, Peter Liebelt
Publikováno v:
Hungarian Geographical Bulletin, Vol 70, Iss 1, Pp 49-64 (2021)
This study aimed to map soil organic carbon under erosion processes on an arable field in the Republic of Bashkortostan (Russia). To estimate the spatial distribution of organic carbon in the Haplic Chernozem topsoil, we applied Sentinel-2A satellite
Externí odkaz:
https://doaj.org/article/e42cd3c5edfa4bf6b8b88de3b10e5869