Due to the impact of Corona virus (COVID-19) pandemic that exists today, all countries, national and international organizations are in a continuous effort to find efficient and accurate statistical models for forecasting the future pattern of COVID infection. Accurate forecasting should help governments to take decisive decisions to master the pandemic spread.  In this article, we explored the COVID-19 database of India between 17th March to 1st July 2020, then we estimated two nonlinear time series models: Artificial Neural Network (ANN) and Fuzzy Time Series (FTS) by comparing them with ARIMA model. In terms of model adequacy, the FTS model out performs the ANN for the new cases and new deaths time series in India. We observed a short-term virus spread trend according to three forecasting models.Such findings help in more efficient preparation for the Indian health system.

Seven new molecule insecticides viz., Deltamethrin, Lambda-cyhalothrin, Emamectin benzoate, Indoxacarb, Bifenthrin, Rynaxypr and Flubendiamide were bio-assayed against okra shoot and fruit borer (Earias vittella) to study the residual toxicity on Okra at College of Agriculture, Raipur during the Rabi applied season(2014-15 and 2015-16).. On the basis of average LT50 values, the order of toxicity was Emamectin Benzoate > Indoxacarb > Lambda-Cyhalothrin > Rynaxypr > Flubendiamide > Deltamethrin > Bifenthrin against okra shoot and fruit borer.

Background: Non-communicable diseases (NCDs) are ragging reality of today’s world and have moved up the priority list of most countries worldwide including India. Objectives were to find out prevalence of different types of strokes among the patients admitted in neurology department of SCB medical college, to study socio-clinical profiles of admitted stroke patients and to find out associated risk factors with different types of strokes.Methods: Cross-sectional hospital-based study in neurology ward of SCB MCH, Cuttack, Odisha in 2019-20.Results: The mean age 60.93±12.8, males are more affected, 60-69 years were more affected, 76% were ischemic strokes, 85% cases weakness of limbs reported, hypertension, diabetes, alcoholism, smoking, dyslipidemia were major risk factors. Hypertension and smoking found to be highly significant in case of young stroke patients.Conclusions: Major modifiable risk factors were hypertension (63.3%) followed by alcohol intake 53.9%.

Oyster Mushroom has many nutritional effect, medicinal use and used as a functional food. It contains low calorie, high protein, dietary fibre, vitamins and minerals. It is very promising in its agribusiness trend, but has a constraint low shelf life. Mushroom value chain classified into input suppliers, producers prepared with mushroom like soup powder, pickles, chips, paste, ketchup, noodles, pasta, biscuits, traders, processors and consumers. In India value addition in mushroom represents approximately 7% which is lower than some developing countries. Many novel value-added products can be prepared with mushroom like powder, pickles, chips, ketchup, noodles, pasta, biscuits. The shelf life of mushroom can be extended by the preserving in the form of pickle. The main aim of the present study is the sensory analysis and storability of mushroom pickle by applying different technology. The product has been evaluated for sensory attributes like colour, aroma, taste, texture and overall acceptability. The growth of fungus and changes in appearance at different storage period were also evaluated. Keywords: Citric acid, Nutritional Evaluation, Pickle, Oyster Mushroom, Solar Drying