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The reactivity of a nuclear reactor is the most important safety and operating parameter. Due to short reactor period, the Light Water Reactor (LWR) designs require the compensations of rapid unfavorable reactivity increases. The increase in fuel or moderator temperature leads to compensate the reactivity jumps as inherent safety characteristics. The safe and reliable reactor operation requires the...
In the fields of bioinformatics and drug discovery, prediction of bacterial proteins is an important research. We proposed a novel classifier ensemble scheme for the prediction of Gram-positive bacterial protein. The proposed methodology exploits diversity in decision space through different machine learning techniques. However, diversity in feature spaces is exploited using physicochemical properties...
The importance of automatically annotating the subcellular attributes of uncharacterized proteins and its timely utilization in drug discovery is self-evident. This accurate information about protein locations in a cell facilitates in the understanding of the function of a protein and further interaction in the cellular environment. We proposed a novel GNeg-CEF approach for predicting gram-negative...
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