Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Nikolay A, Nikitin"'
Autor:
Mukharram M. Bikbov, Gyulli M. Kazakbaeva, Ellina M. Rakhimova, Iuliia A. Rusakova, Albina A. Fakhretdinova, Azaliia M. Tuliakova, Songhomitra Panda-Jonas, Timur R. Gilmanshin, Rinat M. Zainullin, Natalia I. Bolshakova, Kamilia R. Safiullina, Ainur V. Gizzatov, Ildar P. Ponomarev, Dilya F. Yakupova, Nail E. Baymukhametov, Nikolay A. Nikitin, Jost B. Jonas
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract To assess the distribution of axial length as surrogate for myopia and its determinants in an old population, we performed the Ural Very Old Study as a population-based cohort study. Out of 1882 eligible individuals aged 85 + years, the Ural
Externí odkaz:
https://doaj.org/article/411d8362a0f74ee79019b129aa2b7c36
Autor:
Jost B Jonas, Mukharram M Bikbov, Gyulli M Kazakbaeva, Songhomitra Panda-Jonas, Dilya F Yakupova, Ellina M Rakhimova, Iuliia A Rusakova, Albina A Fakhretdinova, Azaliia M Tuliakova, Natalia I Bolshakova, Kamilia R Safiullina, Ainur V Gizzatov, Ildar P Ponomarev, Nail E Baymukhametov, Nikolay A Nikitin
Publikováno v:
BMJ Open, Vol 12, Iss 4 (2022)
Objective To assess the prevalence of vision impairment, hearing impairment and dual sensory impairment (DSI) as combination of vision and hearing impairment, in association with cognitive dysfunction in a population aged 85+ years.Methods The cross-
Externí odkaz:
https://doaj.org/article/44330830652e47e5984898d7a8ac11d4
Autor:
Nadezhda V. Tyshko, Elvira O. Sadykova, Svetlana I. Shestakova, Nikolay S. Nikitin, Marina D. Trebukh, Maria S. Loginova, Valentina A. Pashorina, Valentin M. Zhminchenko
Publikováno v:
Journal of Toxicology, Vol 2020 (2020)
The modeling of adaptation potential decrease in rats due to modification of the diet’s vitamin–mineral composition allows to increase animals’ sensitivity to toxic load in reprotoxicological experiments. The threshold values of vitamins B1, B2
Externí odkaz:
https://doaj.org/article/f277223995a74068ae2692a4b8b09617
Autor:
Georgii V. Grigorev, Nikolay O. Nikitin, Alexander Hvatov, Anna V. Kalyuzhnaya, Alexander V. Lebedev, Xiaohao Wang, Xiang Qian, Georgii V. Maksimov, Liwei Lin
Publikováno v:
Micromachines, Vol 13, Iss 3, p 367 (2022)
This paper describes a generative design methodology for a micro hydrodynamic single-RBC (red blood cell) trap for applications in microfluidics-based single-cell analysis. One key challenge in single-cell microfluidic traps is to achieve desired thr
Externí odkaz:
https://doaj.org/article/e0b2c6bbb5074bb9839f87587caaf7ab
Autor:
Mikhail Sarafanov, Yulia Borisova, Mikhail Maslyaev, Ilia Revin, Gleb Maximov, Nikolay O. Nikitin
Publikováno v:
Water, Vol 13, Iss 24, p 3482 (2021)
The paper presents a hybrid approach for short-term river flood forecasting. It is based on multi-modal data fusion from different sources (weather stations, water height sensors, remote sensing data). To improve the forecasting efficiency, the machi
Externí odkaz:
https://doaj.org/article/ec54427fd794415b8d8c8ef02988913e
Autor:
Mukharram M. Bikbov, Timur R. Gilmanshin, Rinat M. Zainullin, Gyulli M. Kazakbaeva, Artur F. Zaynetdinov, Ildar F. Nuriev, Songhomitra Panda-Jonas, Inga I. Arslangareeva, Ainur A. Zinnatullin, Dilya F. Yakupova, Ellina M. Rakhimova, Yulia V. Uzianbaeva, Renat I. Khikmatullin, Nikolay A. Nikitin, Said K. Aminev, Svetlana R. Mukhamadieva, Venera F. Mavlieva, Jost B. Jonas
Publikováno v:
Eye. 37:705-713
Background To assess central corneal thickness (CCT) and its associations in a Russian population. Methods The population-based Ural Eye and Medical Study included 5899 (80.5%) out of 7328 eligible individuals. As part of an ophthalmological and gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52eeb57023ee3cc4d91c8514a0e1eb35
https://doi.org/10.1038/s41433-022-02026-1
https://doi.org/10.1038/s41433-022-02026-1
Autor:
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Alexander Hvatov, Mikhail Maslyaev, Mikhail Yachmenkov, Alexander Boukhanovsky
Publikováno v:
Entropy, Vol 23, Iss 1, p 28 (2020)
In this paper, we describe the concept of generative design approach applied to the automated evolutionary learning of mathematical models in a computationally efficient way. To formalize the problems of models’ design and co-design, the generalize
Externí odkaz:
https://doaj.org/article/8a228a2ef900442ba674e2de3959c178
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3865 (2020)
Satellite remote sensing has now become a unique tool for continuous and predictable monitoring of geosystems at various scales, observing the dynamics of different geophysical parameters of the environment. One of the essential problems with most sa
Externí odkaz:
https://doaj.org/article/c75890914f3f4e9091d57140a083c142
Autor:
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
Publikováno v:
Complexity, Vol 2018 (2018)
Complex systems’ modeling and simulation are powerful ways to investigate a multitude of natural phenomena providing extended knowledge on their structure and behavior. However, enhanced modeling and simulation require integration of various data a
Externí odkaz:
https://doaj.org/article/08ce6531a47844f88bea413a07ff9859
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0952db2d684be3f1c65518c7684a8f4b
https://doi.org/10.1109/cec55065.2022.9870347
https://doi.org/10.1109/cec55065.2022.9870347