Comparative efficacies of nine different caseinolytic methods for assay of proteinase activity indicated significantly different responses, the values being in the range of 34.10-192.30 units/g enzyme, even at constant ratio of enzyme to substrate and equal reaction time.The method of Nakanishi et al. estimated highest titres, i.e. 192.30 units/g enzyme at constant substrate to enzyme ratio and hence was selected for further improvement. Results indicated no change in estimation at 15-60 min standing time of the reaction mixture at 30°C, but the estimations increased by 10% at 60°C standing temperature.The use of trichloro acetic acid mixture, to precipitate undigested protein and to simultaneously liberate tyrosine from the digestion products, resulted in highest estimation, as compared to that with different concentrations of trichloro acetic acid.The methods used for estimation of the digestion products were found to have greater impact, the measurement as per the original procedure of Lowry et al. being most efficient. The absorbance values for pure tyrosine by these methods were of linear nature and also showed highest value with the
Abstract-Character Recognition is one of the important tasks in Pattern Recognition. The complexity of the character recognition problem depends on the character set to be recognized. Neural Network is one of the most widely used and popular techniques for character recognition problem. This paper discusses the classification and recognition of printed Hindi Vowels and Consonants using Artificial Neural Networks. The vowels and consonants in Hindi characters can be divided in to sub groups based on certain significant characteristics. For each group, a separate network is designed and trained to recognize the characters which belong to that group. When a test character is given, appropriate neural network is invoked to recognize the character in that group, based on the features in that character. The accuracy of the network is analyzed by giving various test patterns to the system.
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