Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Sai Praveen"'
Autor:
M.M. Semіaniv, L.P. Sydorchuk, Yu.M. Yarynych, Sai Praveen Daruvuri, S.B. Semenenko, O.I. Sydorchuk
Publikováno v:
Mìžnarodnij Endokrinologìčnij Žurnal, Vol 20, Iss 4, Pp 244-250 (2024)
Background. Essential hypertension (EH) is a complex, multifactorial and polygenic disease. Despite effective measures for control and modification of traditional risk factors, a significant amount of risk remains. The aim of the study was to evaluat
Externí odkaz:
https://doaj.org/article/fbff1d85d1314a6db4c6a654198c755c
Autor:
Alexandra Ioana Danila, Flavius Cioca, Sai Teja Gadde, Sai Praveen Daruvuri, Romulus Timar, Elena Hogea
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1685 (2024)
The coronavirus disease 2019 (COVID-19) pandemic has necessitated the identification of biomarkers that can predict disease severity, particularly in vulnerable populations such as individuals with diabetes. This study aims to evaluate the predictive
Externí odkaz:
https://doaj.org/article/f30794a707da4b30a3225fa0ac640f44
Autor:
Sujoy Kar, Rajesh Chawla, Sai Praveen Haranath, Suresh Ramasubban, Nagarajan Ramakrishnan, Raju Vaishya, Anupam Sibal, Sangita Reddy
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract In Coronavirus disease 2019 (COVID-19), early identification of patients with a high risk of mortality can significantly improve triage, bed allocation, timely management, and possibly, outcome. The study objective is to develop and validate
Externí odkaz:
https://doaj.org/article/4bb232ea10b045828e4c97aab2c2c3d3
Autor:
Ch. Rupa, Gautam Srivastava, Bharath Ganji, Sai Praveen Tatiparthi, Karthik Maddala, Srinivas Koppu, Jerry Chun-Wei Lin
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Augmented Reality (AR) is an innovation that empowers us in coordinating computerized data into the client's real-world space. It offers an advanced and progressive methodology for medicines, providing medication training. AR aids in surgery planning
Externí odkaz:
https://doaj.org/article/336da579d9dc4ba6918b6c821a088a6f
Autor:
Kiran Jambhale, Smridhi Mahajan, Benjamin Rieland, Nilanjan Banerjee, Abhijit Dutt, Sai Praveen Kadiyala, Ramana Vinjamuri
Publikováno v:
Sensors, Vol 22, Iss 22, p 8703 (2022)
Substance use disorder (SUD) is a dangerous epidemic that develops out of recurrent use of alcohol and/or drugs and has the capability to severely damage one’s brain and behaviour. Stress is an established risk factor in SUD’s development of addi
Externí odkaz:
https://doaj.org/article/bbffdba4c2d24d04b05b85fef8d114d2
Autor:
Gowrisree Rudraraju, ShubhaDeepti Palreddy, Baswaraj Mamidgi, Narayana Rao Sripada, Y. Padma Sai, Naveen Kumar Vodnala, Sai Praveen Haranath
Publikováno v:
Informatics in Medicine Unlocked, Vol 19, Iss , Pp 100319- (2020)
In India, there are 100 million people who suffer from various respiratory problems; globally it is about 1–1.2 billion. The main problem attributed to the prevalence of respiratory diseases is lack of cost-effective and lab-free methods for early
Externí odkaz:
https://doaj.org/article/9ad163d693f847e6b3f3d9976f52507a
Autor:
Sameeulla Shaik, Raviraj Jayam, Vijaykumar Bokkasam, Suresh Dirasantchu, Suman S Venkata, Sai Praveen
Publikováno v:
Journal of Indian Academy of Oral Medicine and Radiology, Vol 29, Iss 4, Pp 259-262 (2017)
Aim: The study was undertaken: 1) To assess salivary glucose (SaG) levels in diabetic and nondiabetic subjects and to determine if saliva could be used as a noninvasive tool to diagnose and monitor Type II diabetes mellitus. 2) Correlation of SaG lev
Externí odkaz:
https://doaj.org/article/26b53c224f5149bcafac33de00e65b4b
Autor:
Sai Praveen Haranath, Meeta Meeta
Publikováno v:
Journal of Mid-Life Health, Vol 11, Iss 4, Pp 199-199 (2020)
Externí odkaz:
https://doaj.org/article/2ea6d680cbe74e2696497e1176ef9f96
We propose a set of techniques to efficiently importance sample the derivatives of several BRDF models. In differentiable rendering, BRDFs are replaced by their differential BRDF counterparts which are real-valued and can have negative values. This l
Externí odkaz:
http://arxiv.org/abs/2304.04088
Autor:
Bangaru, Sai Praveen, Gharbi, Michaël, Li, Tzu-Mao, Luan, Fujun, Sunkavalli, Kalyan, Hašan, Miloš, Bi, Sai, Xu, Zexiang, Bernstein, Gilbert, Durand, Frédo
We present a method to automatically compute correct gradients with respect to geometric scene parameters in neural SDF renderers. Recent physically-based differentiable rendering techniques for meshes have used edge-sampling to handle discontinuitie
Externí odkaz:
http://arxiv.org/abs/2206.05344