Zobrazeno 1 - 10
of 371
pro vyhledávání: '"Narendhar"'
Autor:
Francis Packiaraj Don Disouza, Ruspika Sundaresan, Shen-Ming Chen, Balaji Ramachandran, Narendhar Chandrasekar
Publikováno v:
Analytica, Vol 4, Iss 3, Pp 300-312 (2023)
In recent years, indiscriminate consumption and dumping of antibiotics have become destructive to human health and causes ecotoxicological pollution. Here, the irregular particle nanosized dendrite structure of lanthanum-doped cerium oxide (LCO) deco
Externí odkaz:
https://doaj.org/article/be914b8a5fd54be387e987f091bb8c5a
Autor:
Rex Shanlee Santhiyagu Sahayaraj, Ruspika Sundaresan, Shen-Ming Chen, Balaji Ramachandran, Narendhar Chandrasekar
Publikováno v:
Chemistry of Inorganic Materials, Vol 1, Iss , Pp 100006- (2023)
Transition metal sulfides (TMS) have been receiving specific attention due to their excellent physiochemical properties and electrochemical activity. In this article, we demonstrate the synthesis of sea-urchin-like Bi2S3 combined with MoS2 hierarchic
Externí odkaz:
https://doaj.org/article/ef0ac5adbc1f46708559431cf94e815b
Publikováno v:
Micro, Vol 3, Iss 1, Pp 192-207 (2023)
Cellulose nanofibre (CNF) is the sustainable nanomaterial used for developing high-performance barrier materials that are renewable, recyclable, and biodegradable. The CNF film has very low oxygen permeability; however, its water vapor permeability i
Externí odkaz:
https://doaj.org/article/fc4bbdc7daa44f83b74d7af7901e51fa
Publikováno v:
Annals of Indian Academy of Neurology, Vol 26, Iss 5, Pp 803-806 (2023)
Externí odkaz:
https://doaj.org/article/548b1b9e5c8141b4beb4b8aa03d21ce3
Autor:
Kumar Gokulkumar, Song-Jeng Huang, Sea-Fue Wang, Ramachandran Balaji, Narendhar Chandrasekar, Michael Taeyoung Hwang
Publikováno v:
OpenNano, Vol 10, Iss , Pp 100131- (2023)
Pharmaceuticals are generally designed to be nondegradable or slowly degradable to prevent chemical degradation as it is employed as therapeutics for human or animal. This results in a widespread risk when they enter, accumulate or persist in the env
Externí odkaz:
https://doaj.org/article/bde1a9cf5c54433297f8dcc01a308e56
Autor:
Saranvignesh Alagarsamy, Ruspika Sundaresan, Shen-Ming Chen, J. Meena Devi, Narendhar Chandrasekar, Balaji Ramachandran
Publikováno v:
C, Vol 9, Iss 2, p 47 (2023)
Pharmaceutical and personal care products are emerging as a new category of environmental pollution. Analytical drug detection from a biological sample for detection is still crucial today. Mefenamic acid (MA) is an anti-inflammatory drug utilized fo
Externí odkaz:
https://doaj.org/article/46a7f7ab54ae47a48f9c65b14f94a9dc
Autor:
Narendhar Chandrasekar, Ramachandran Balaji, Ramaswamy Sandeep Perala, Nik Zulkarnine Nik Humaidi, Kirubanandan Shanmugam, Ying-Chih Liao, Michael Taeyoung Hwang, Saravanan Govindaraju
Publikováno v:
Biosensors, Vol 13, Iss 3, p 307 (2023)
The prevalence of mutated species of COVID-19 antigens has provided a strong impetus for identifying a cost-effective, rapid and facile strategy for identifying the viral loads in public places. The ever-changing genetic make-up of SARS-CoV-2 posts a
Externí odkaz:
https://doaj.org/article/3b98e94bc85f46a2ae9b6e1cba2c228f
Autor:
Melvin S. Samuel, Saptashwa Datta, Narendhar Chandrasekar, Ramachandran Balaji, Ethiraj Selvarajan, Srikanth Vuppala
Publikováno v:
Nanomaterials, Vol 11, Iss 12, p 3290 (2021)
The biological synthesis of nanoparticles is emerging as a potential method for nanoparticle synthesis due to its non-toxicity and simplicity. In the present study, a bacterium resistant to heavy metals was isolated from a metal-contaminated site and
Externí odkaz:
https://doaj.org/article/b82e46cffc554b05851ecad2438bd639
While mixture density networks (MDNs) have been extensively used for regression tasks, they have not been used much for classification tasks. One reason for this is that the usability of MDNs for classification is not clear and straightforward. In th
Externí odkaz:
http://arxiv.org/abs/2402.05428
Publikováno v:
International Journal of Prognostics and Health Management, Vol 9, Iss 1 (2018)
We consider the problem of estimating the remaining useful life (RUL) of a system or a machine from sensor data. Many approaches for RUL estimation based on sensor data make assumptions about how machines degrade. Additionally, sensor data from machi
Externí odkaz:
https://doaj.org/article/3da47e6e55114cb28967e6ba219f32a7