Zobrazeno 1 - 10
of 1 689
pro vyhledávání: '"Miriyala A"'
Autor:
Katta Sriram, Mahesh Mandala, Rakesh Miriyala, Anirudh Suseel Nalumaru, Kattamreddy Ananth Rupesh
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 11, Pp 1192-1198 (2024)
Background: Paraquat is a widely used herbicide that raises a significant public health concern due to its extreme toxicity even at low doses and its potential for criminal poisoning. However, most of the research is concentrated on pulmonary toxicit
Externí odkaz:
https://doaj.org/article/5949a70294294dfaa9e4344b8f419e9e
Autor:
Mahesh Mandala, Mohit Kumar Moses Thathapudi, S.M. Krishna Sagar, Rakesh Miriyala, Kattamreddy Ananth Rupesh
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 9, Pp 936-939 (2024)
Externí odkaz:
https://doaj.org/article/7ed356b179d343bd8b7d6356a05c5ff4
Autor:
Pandey, Adityanarayan, Kumar, Amritesh, Varade, Pravin, Miriyala, K., Arockiarajan, A., Kulkarni, Ajit. R., Venkataramani, N.
This study investigates the temperature-dependent quasi-static magnetoelectric (ME) response of electrically poled lead-free Na$_{0.4}$K$_{0.1}$Bi$_{0.5}$TiO$_3$-NiFe$_2$O$_4$ (NKBT-NFO) laminated composites. The aim is to understand the temperature
Externí odkaz:
http://arxiv.org/abs/2307.06034
Autor:
Rakesh Miriyala, Shiyam Sundar K, Devaraj Boddepalli, Kankipati Sri Meghana, Kedarisetty Sai Sandeep, Kattamreddy Ananth Rupesh
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 8, Pp 847-851 (2024)
Externí odkaz:
https://doaj.org/article/66bbec6bf6654913bcdcfb562e73ce12
Autor:
Bolivia Konthoujam, Nikita Bhandari, Miriyala Pranay Kamal, P. Nitin Srinivas, Bhanoday Thati, Pranav Bondugula, Purushotham Reddy, Ramalingappa C. Antaratani, Naveen Kadayinti, Sudhanshu Shukla, Ruma Ghosh
Publikováno v:
Biosensors and Bioelectronics: X, Vol 20, Iss , Pp 100530- (2024)
Early-stage detection of any cancer significantly improves the survival rates by enabling clinicians to design simpler and more effective treatment options, leading to a cure or remission. Early diagnosis of ovarian cancer, the leading cause of gynae
Externí odkaz:
https://doaj.org/article/e13847625e9544179fcfd7002cbe1b18
Autor:
Mohit Kumar Moses T, Rema Nair Sarkar, Jacinth Karunya Midde, Devaraj Boddepalli, Rakesh Miriyala, Kattamreddy Ananth Rupesh
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 5, Pp 500-506 (2024)
Paraquat (N,N′-dimethyl-4,4′-bipyridinium dichloride) is one of the widely used herbicides in Indian agriculture. This compound is at the centre of polemics, involving debates on its effects on sustainable agriculture, potential health risks, and
Externí odkaz:
https://doaj.org/article/4d47e0d546bd41f9af09805295bdf55d
Attribute grammars allow the association of semantic actions to the production rules in context-free grammars, providing a simple yet effective formalism to define the semantics of a language. However, drafting the semantic actions can be tricky and
Externí odkaz:
http://arxiv.org/abs/2208.06916
The solar atmosphere is known to be replete with magneto-hydrodynamic wave modes, and there has been significant investment in understanding how these waves propagate through the Sun's atmopshere and deposit their energy into the plasma. The waves' j
Externí odkaz:
http://arxiv.org/abs/2208.05222
Autor:
Miriyala Chaitanya, Abhilasha Bhawalkar, Anandamoy Bagchi, Divyatammana, Anshuman Shetty, Hitesh Chohan, Mohammed Mustafa
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 16, Iss Suppl 3, Pp S2388-S2390 (2024)
Background: Apical periodontitis and irreversible pulpitis are typical dental conditions treated with “Root Canal Treatment (RCT)”. Single-visit RCT has become a viable alternative to the multi-visit RCT method used in traditional RCT. Methods: A
Externí odkaz:
https://doaj.org/article/643a4c34128c4964bb21da84be0e32b3
Machine learning, particularly deep neural network inference, has become a vital workload for many computing systems, from data centers and HPC systems to edge-based computing. As advances in sparsity have helped improve the efficiency of AI accelera
Externí odkaz:
http://arxiv.org/abs/2204.09797