Zobrazeno 1 - 10
of 463
pro vyhledávání: '"Pratyush, Kumar"'
We present machine learning (ML)-based pipelines designed to populate galaxies into dark matter halos from N-body simulations. These pipelines predict galaxy stellar mass ($M_*$), star formation rate (SFR), atomic and molecular gas contents, and meta
Externí odkaz:
http://arxiv.org/abs/2406.16103
The widespread integration of deep neural networks in developing data-driven surrogate models for high-fidelity simulations of complex physical systems highlights the critical necessity for robust uncertainty quantification techniques and credibility
Externí odkaz:
http://arxiv.org/abs/2403.08901
Publikováno v:
Physics of Fluids, Volume 36 (Issue 7), 073103 (2024)
In this study, the role of solvent viscosity ratio ($\beta$) on the creeping flow characteristics of Oldroyd-B fluid over a channel-confined circular cylinder has been explored numerically. The hydrodynamic model equations have been solved by RheoToo
Externí odkaz:
http://arxiv.org/abs/2403.05904
Autor:
Pratyush Kumar Behera, Zahra Parwez, Seemon Giri, Subhransu Sekhar Behera, Suchismita Nivedita, Ananta Narayana Panda, Himadri Tanaya Behera, Lopamudra Ray
Publikováno v:
The Microbe, Vol 4, Iss , Pp 100156- (2024)
This study presents a genome analysis identifying various alkaline protease genes and culture condition optimization to enhance the production of the enzyme in Streptomyces barkulensis RC1831. The analysis of genes using bioinformatics tools such as
Externí odkaz:
https://doaj.org/article/9454faa0470a451ca20e52c852072d1c
Autor:
Suchismita Nivedita, Subhransu Sekhar Behera, Pratyush Kumar Behera, Zahra Parwez, Seemon Giri, Himadri Tanaya Behera, Lopamudra Ray
Publikováno v:
The Microbe, Vol 4, Iss , Pp 100124- (2024)
Salinity and drought are the major abiotic stresses that significantly affect growth and productivity, necessitating the development and exploration of technologies to enhance tolerance of the crop plants. This study explored the role of four plant g
Externí odkaz:
https://doaj.org/article/7fa35329b75b48b092865e13d2e30b95
Autor:
Behera, Pratyush Kumar, Parwez, Zahra, Giri, Seemon, Behera, Subhransu Sekhar, Nivedita, Suchismita, Panda, Ananta Narayana, Behera, Himadri Tanaya, Ray, Lopamudra
Publikováno v:
In The Microbe September 2024 4
Autor:
Nivedita, Suchismita, Behera, Subhransu Sekhar, Behera, Pratyush Kumar, Parwez, Zahra, Giri, Seemon, Behera, Himadri Tanaya, Ray, Lopamudra
Publikováno v:
In The Microbe September 2024 4
Autor:
Pratyush Kumar, Oshin Puri, Vishnu B Unnithan, Asmitha P Reddy, Shravya Aswath, Monika Pathania
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 3, Pp 1004-1011 (2024)
Introduction: This study evaluates feasibility of telemedicine to deliver diabetic care among different regions of the country. Materials and Methods: Medical interns affiliated with Rotaract Club of Medicrew (RCM) organized a Free Diabetes Screening
Externí odkaz:
https://doaj.org/article/cb5351e165f14adda68a48b127f08bcc
Publikováno v:
In Journal of Non-Newtonian Fluid Mechanics December 2024 334
Publikováno v:
mBio, Vol 15, Iss 3 (2024)
ABSTRACT Rubella virus (RuV) is an enveloped plus-sense RNA virus and a member of the Rubivirus genus. RuV infection in pregnant women can lead to miscarriage or an array of severe birth defects known as congenital rubella syndrome. Novel rubiviruses
Externí odkaz:
https://doaj.org/article/3feb6cb92d604c3e9fef6b053f39e50f