Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Vikas Shende"'
Hypoglycemic of Cajanus scarabaeoides in glucose overloaded and streptozotocin-induced diabetic rats
Publikováno v:
Bangladesh Journal of Pharmacology, Vol 4, Iss 2 (2009)
In light of traditional claim of Cajanus scarabaeoides (L) in the treatment of diabetes, we studied the effects of different solvent extracts in normal, glucose over loaded normal and streptozotocin-induced diabetic rats. The methanolic extract (500
Externí odkaz:
https://doaj.org/article/6acc077288d04d92a101c4517129c105
Publikováno v:
Journal of Natural Remedies. :129-142
Other species of Solanum are evaluated as neuroprotective and have conventionally been applied for the management of CNS disorders; on the other hand, investigational data to support this practice is lacking. Therefore, we aimed to assess the effect
Publikováno v:
Environmental Science and Pollution Research. 30:48587-48603
Publikováno v:
Environmental Science and Pollution Research. 29:46341-46356
Wind energy is the second largest source of renewable energy, across the world. For designing and construction of wind farms, most critical information is consistent wind resource assessment forecasts and appropriate models of wind speed distribution
Autor:
Deepesh Singh, Vikas Shende, Sushil Kumar Agrahari, G.L. Devnani, Yash Jaiswal, Sunder Lal Pai
Publikováno v:
DESALINATION AND WATER TREATMENT. 278:93-101
Publikováno v:
Materials Today: Proceedings. 56:263-273
Publikováno v:
Materials Today: Proceedings. 56:171-178
Publikováno v:
Materials Today: Proceedings.
Autor:
Prem Kumar Chaurasiya, Harsh Patidar, Vikas Shende, Upendra Rajak, Tikendra Nath Verma, Gaurav Dwivedi
Publikováno v:
Ocean Engineering. 281:114665
Publikováno v:
Environmental science and pollution research internationalReferences.
The accurate selection of the wind speed distributions is crucial for a better utilisation of wind energy. The Weibull distribution is most commonly used distribution and hence its parameters need to be optimized. In this study five numerical methods