Zobrazeno 1 - 10
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pro vyhledávání: '"Sagar, K."'
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background This paper demonstrates how available data can be explored and utilized to conclude generic patterns in the temporal changes in Human Milk (HM) composition. Methods The temporal trajectories of selected human milk components (HMC-
Externí odkaz:
https://doaj.org/article/e10b4d88ee11464cb2f081e1ad364663
Autor:
Ji, Cheng, Solomon, Michael T., Grant, Gregory D., Tanaka, Koichi, Hua, Muchuan, Wen, Jianguo, Seth, Sagar K., Horn, Connor P., Masiulionis, Ignas, Singh, Manish K., Sullivan, Sean E., Heremans, F. Joseph, Awschalom, David D., Guha, Supratik, Dibos, Alan M.
The use of trivalent erbium (Er$^{3+}$), typically embedded as an atomic defect in the solid-state, has widespread adoption as a dopant in telecommunications devices and shows promise as a spin-based quantum memory for quantum communication. In parti
Externí odkaz:
http://arxiv.org/abs/2309.13490
Autor:
Manne, Rajesh, Sharma, Sunita, Dey, Shreyata, Patil, Sagar K., Nehra, Nidhi, Rawool, Hemant, Rajaraman, Gopalan, Ghosh, Prasenjit
Publikováno v:
In Journal of Molecular Structure 15 November 2024 1316
Publikováno v:
In Journal of Molecular Liquids 15 September 2024 410
Publikováno v:
Indian Journal of Community Medicine, Vol 49, Iss 7, Pp 14-15 (2024)
Background: Road safety continues to be a major developmental issue, a public health concern and a leading cause of death and injury affecting not only the victims and their family but also the economy as a whole in terms of untimely deaths, disabili
Externí odkaz:
https://doaj.org/article/1e5a2e51ce6946508869e523ff6bdd6f
Autor:
Sagar, K. V. S. B. Vidya1,2 kvsbvidyasagar@gmail.com, Jyotsna, P. Sarat3, Sethumadhavan, K.1, Bandaru, Narasinga Rao2
Publikováno v:
Journal of Pure & Applied Microbiology. 2024, Vol. 18 Issue 2, p1246-1252. 7p.
Publikováno v:
Nonlinear Processes in Geophysics, 28, 295-309 (2021)
In this paper, we present an ensemble data assimilation paradigm over a Riemannian manifold equipped with the Wasserstein metric. Unlike the Eulerian penalization of error in the Euclidean space, the Wasserstein metric can capture translation and dif
Externí odkaz:
http://arxiv.org/abs/2009.03443
Publikováno v:
Quarterly Journal of the Royal Meteorological Society, Volume 146, Issue 730, pages 2332-2346, July 2020
This paper presents a new variational data assimilation (VDA) approach for the formal treatment of bias in both model outputs and observations. This approach relies on the Wasserstein metric stemming from the theory of optimal mass transport to penal
Externí odkaz:
http://arxiv.org/abs/2003.02421
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