Zobrazeno 1 - 10
of 569
pro vyhledávání: '"Jagdish Chand"'
Autor:
Gomathy Subramanian, Hannah Lalengzuali Fanai, Jagdish Chand, Sheikh F. Ahmad, Sabry M. Attia, Talha Bin Emran
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract IMPHY000797 derivatives have been well known for their efficacy in various diseases. Moreover, IMPHY000797 derivatives have been found to modulate such genes involved in multiple neurological disorders. Hence, this study seeks to identify su
Externí odkaz:
https://doaj.org/article/84aee5dd04fa448bb008cf1bb4b198e1
Autor:
Chennu Manisha, Nagarjuna Palathoti, Jagdish Chand, Akey Krishna Swaroop, Jubie Selvaraj, B.R. Prashantha Kumar, Prisil Naveentha X, Brindha Durairaj, Antony Justin
Publikováno v:
Results in Chemistry, Vol 11, Iss , Pp 101766- (2024)
EAAT2, a glial protein that clears excess glutamate from synapses, regulates synaptic transmission, and prevents excitotoxicity in neurons is impaired by Aβ induced oxidative stress in neurodegenerative diseases like Alzheimer’s disease. Therefore
Externí odkaz:
https://doaj.org/article/40eeef45cb9647a2ace834ba494112c5
Autor:
Sakshi Shringi, Harish Sharma, Pushpa Narayan Rathie, Jagdish Chand Bansal, Atulya Nagar, Daya Lal Suthar
Publikováno v:
Applied Mathematics in Science and Engineering, Vol 32, Iss 1 (2024)
In this paper, the existing Susceptible-Infected-Recovered-Deceased (SIRD) compartmental epidemiologic process model is modified for forecasting the coronavirus effect in India. The data from India was studied for weekly fatalities, weekly infected,
Externí odkaz:
https://doaj.org/article/28c270a16afa447bbd346cbaeefcd617
Autor:
A.M. Mohiuddin, Jagdish Chand Bansal
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102511- (2024)
Prediction-based evolutionary algorithm is one of the emerging category of meta-heuristic optimization techniques. The improved linear prediction evolution algorithm (ILPE) is a recently developed meta-heuristic optimization technique that draws insp
Externí odkaz:
https://doaj.org/article/2935db17cffc41a7b522a774ad6eb61f
Publikováno v:
Natural Products and Bioprospecting, Vol 10, Iss 5, Pp 325-335 (2020)
Abstract Anthraquinone derivatives are identified for their immune-boosting, anti-inflammatory, and anti-viral efficacy. Hence, the present study aimed to investigate the reported anthraquinone derivatives as immune booster molecules in COVID-19 infe
Externí odkaz:
https://doaj.org/article/c341cf508c234aac86d47b592b5d5aa9
Autor:
Probhat Pachung, Jagdish Chand Bansal
Publikováno v:
MethodsX, Vol 9, Iss , Pp 101839- (2022)
The Tangent Search Algorithm (TSA) is a newly developed population-based meta-heuristic algorithm to solve complex optimization problems. It is based on the tangent function, which steers the given solution towards more promising regions of the searc
Externí odkaz:
https://doaj.org/article/d4bacaf24a424d30b813a91c3b3d09bc
Publikováno v:
Array, Vol 8, Iss , Pp 100044- (2020)
Salp Swarm Algorithm (SSA) is a newly developed swarm intelligence based optimization method. Its analytical model mimics self-organized swarming and foraging behavior of salps. Salps are found in the ocean and they form a swarm called salp chain for
Externí odkaz:
https://doaj.org/article/2ff0e658679d465c9c850eff0dc8b16d
Publikováno v:
IEEE Access, Vol 6, Pp 73593-73602 (2018)
Recently, swarm intelligence-based algorithms gained attention of the researchers due to their wide applicability and ease of implementation. However, much research has been made on the development of swarm intelligence algorithms but theoretical ana
Externí odkaz:
https://doaj.org/article/6632e3ca8cc54e8f93c05e2267ab7fd8
Autor:
Shreya Pare, Himanshu Mittal, Mohammad Sajid, Jagdish Chand Bansal, Amit Saxena, Tony Jan, Witold Pedrycz, Mukesh Prasad
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4604 (2021)
In remote sensing imagery, segmentation techniques fail to encounter multiple regions of interest due to challenges such as dense features, low illumination, uncertainties, and noise. Consequently, exploiting vast and redundant information makes segm
Externí odkaz:
https://doaj.org/article/d574c8ae68f6496f8f746ef672d2f527