Zeolite crystals were collected from the nearby areas of Aurangabad city,(M.S.) India. The collected crystals were characterized as stilbite by using x-ray diffraction, infrared spectroscopy, thermal analysis(TGA/DTA) and wet chemical analysis method. The collected stilbite crystals possess high crystalinity with Si/Al equal to 3.25 and thermally stable up to 5000C.

This Paper Presents a Computational approach for predicting the BSE stock Exchange data .A Neural Network based model has been used in Predicting the Direction of the movement of the closing value of the Index. The data set encompassed the trading days from 1/7/97 to 24/12/2014 .In this paper ,the model has been validated across 17 years of the trading days.Accuracy of the performance of the neural network is compared with various methods like random forests, GLM, Time Series Analysis. Finally we proved that ANN models are better forrandom forests, GLM, Time Series Analysis.

The water samples from different sites of Lake Rankala were studied for physicochemical characteristics for two different seasons.