Zobrazeno 1 - 10
of 853
pro vyhledávání: '"NEDASHKOVSKAYA"'
Autor:
Tra T. H. Nguyen, Tien Q. Vuong, Ho Le Han, Zhun Li, Yong-Jae Lee, Jaeho Ko, Olga I. Nedashkovskaya, Song-Gun Kim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Bacteroidota is a group of marine polysaccharide degraders, which play a crucial role in the carbon cycle in the marine ecosystems. In this study, three novel gliding strains, designated as SS9-22T, W9P-11T, and SW1-E11T, isolated from algae
Externí odkaz:
https://doaj.org/article/5d0e206ffc1448e5a18eb73a2ad58f1e
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Three novel strains designated ABR2-5T, BKB1-1T, and WSW4-B4T belonging to the genus Reichenbachiella of the phylum Bacteroidota were isolated from algae and mud samples collected in the West Sea, Korea. All three strains were enriched for genes enco
Externí odkaz:
https://doaj.org/article/33333800a8ae4282bf45404f06e41e38
Autor:
Nedashkovskaya, Olga1 (AUTHOR) lbalabanova1@gmail.com, Balabanova, Larissa1,2 (AUTHOR) chernysheva.nadezhda@gmail.com, Otstavnykh, Nadezhda1 (AUTHOR) sasha0788@inbox.ru, Zhukova, Natalia3 (AUTHOR) nzhukova35@list.ru, Detkova, Ekaterina4 (AUTHOR) detkovkate@rambler.ru, Seitkalieva, Aleksandra1,2 (AUTHOR) ep.bystritskaya@yandex.ru, Bystritskaya, Evgenia1,2 (AUTHOR) noskovaiulia@yandex.ru, Noskova, Yulia1 (AUTHOR), Tekutyeva, Liudmila2 (AUTHOR), Isaeva, Marina1 (AUTHOR) olganedashkovska@piboc.dvo.ru
Publikováno v:
Biomolecules (2218-273X). Feb2024, Vol. 14 Issue 2, p196. 16p.
Autor:
Olga Nedashkovskaya, Larissa Balabanova, Nadezhda Otstavnykh, Natalia Zhukova, Ekaterina Detkova, Aleksandra Seitkalieva, Evgenia Bystritskaya, Yulia Noskova, Liudmila Tekutyeva, Marina Isaeva
Publikováno v:
Biomolecules, Vol 14, Iss 2, p 196 (2024)
A strictly aerobic, Gram-stain-negative, rod-shaped, and motile bacterium, designated strain KMM 296, isolated from the coelomic fluid of the mussel Crenomytilus grayanus, was investigated in detail due to its ability to produce a highly active alkal
Externí odkaz:
https://doaj.org/article/20a50662e89e4818aa37546e5ce9c4b4
Akademický článek
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Assessment of environmental risks of underground transport infrastructure development by BOCR method
Publikováno v:
Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія, Iss 55, Pp 285-298 (2021)
Formulation of the problem. Solving the problems of urban transport communications, in particular the constantly growing intensity of automobile traffic in megalopolises, is one of the main directions of minimizing the environmental and man-made risk
Externí odkaz:
https://doaj.org/article/caecc47cb6534dca96f308eac59b40b4
Autor:
Olga Nedashkovskaya, Nadezhda Otstavnykh, Larissa Balabanova, Evgenia Bystritskaya, Song-Gun Kim, Natalia Zhukova, Liudmila Tekutyeva, Marina Isaeva
Publikováno v:
Microorganisms, Vol 11, Iss 10, p 2463 (2023)
A novel Gram-staining negative, strictly aerobic, rod-shaped, and non-motile bacterium, designated strain 10Alg 79T, was isolated from the red alga Ahnfeltia tobuchiensis. A phylogenetic analysis based on 16S rRNA gene sequences placed the novel stra
Externí odkaz:
https://doaj.org/article/5ea087e984514192b37b52165dc9b86b
Autor:
Iuliia Pentekhina, Olga Nedashkovskaya, Aleksandra Seitkalieva, Vladimir Gorbach, Lubov Slepchenko, Natalya Kirichuk, Anna Podvolotskaya, Oksana Son, Liudmila Tekutyeva, Larissa Balabanova
Publikováno v:
Microorganisms, Vol 11, Iss 9, p 2255 (2023)
Screening for chitinolytic activity in the bacterial strains from different Pacific Ocean regions revealed that the highly active representatives belong to the genera Microbulbifer, Vibrio, Aquimarina, and Pseudoalteromonas. The widely distributed ch
Externí odkaz:
https://doaj.org/article/6e2def75bd374decb2d799ec18bd6290
Publikováno v:
Ученые записки Казанского университета. Серия Гуманитарные науки / Proceedings of Kazan University. Humanities Series. 162(3):232-247
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=954052
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 1 (2022)
Encoder-decoder neural network models have found widespread use in recent years for solving various machine learning problems. In this paper, we investigate the variety of such models, including the sparse, denoising and variational autoencoders. To
Externí odkaz:
https://doaj.org/article/adfcd0ea8bfa4c0f8b16bee4beca8de6