A python based support vector regression model for prediction of COVID19 cases in India.

The proposed work utilizes support vector regression model to predict the number of total number of deaths, recovered cases, cumulative number of confirmed cases and number of daily cases. The data is collected for the time period of 1 March,2020 to 30 April,2020 (61 Days). The total number of cases as on 30 April is found to be 35043 confirmed cases with 1147 total deaths and 8889 recovered patients.

Prospective treatment of Parkinson's disease by a siRNA-LDH nanoconjugate.

In the world, among the neurodegenerative diseases, Parkinson's is the second most common disease. Although several medications are available in the market, this disease still remains incurable and only the symptoms are controlled to a certain extent with severe side effects. For these reasons we decided to search for a novel therapeutic measure.

Glyphosate applied preharvest induces shikimic acid accumulation in hard red spring wheat (Triticum aestivum).

Glyphosate is a nonselective herbicide used as a harvest aid in a variety of crops. Glyphosate is absorbed into the foliage and translocated to metabolically active regions in the plant where it interferes with the shikimic acid pathway. Experiments were conducted to determine the accumulation and distribution of shikimic acid in wheat treated with glyphosate at soft and hard dough stages of kernel development and to determine the fate of shikimic acid during milling and bread making.