the ultrastructure of the cells, na+, k+-atpase activity and immunolocalization were examined in the barnchial chamber of libellula lydia (drury, 1773) larvae. na+,k+-atpase activity and localization were performed through biochemical techniques and immunofluorescence light microscopy using a mouse monoclonal antibody iggα5, respectively. the branchial chamber possesses six pair gills lamellae ...

Classification of objects is an important area in a variety of fields and applications. Many different methods are available to make a decision in those cases. The knearest neighbor rule (k-NN) is a well-known nonparametric decision procedure. Classification rules based on the k-NN have already been proposed and applied in diverse substantive areas. The editing k-NN proposed by Wilson would be ...

The K-Mode algorithm is known for applications on categorical datasets but with few drawbacks like selecting random k value, efficiency on cluster accuracy and so on. This paper provides research study on extension and modification of K-mode algorithm to provide good initial starting mean to get better clusters with better accuracy results on categorical data domains. The proposed algorithm has...

The K-Means Clustering Approach is one of main algorithms in the literature of Pattern recognition and Machine Learning. Yet, due to the random selection of cluster centers and the adherence of results to initial cluster centers, the risk of trapping into local optimality ever exists. In this paper, inspired by a genetic algorithm which is based on the K-means method , a new approach is develop...

The simulation of turbulent flows is an ongoing challenge. This is especially true for the flows in nuclear reactors. In order to save computational time and resource, accurate numerical schemes are required for such simulations. The encouraging results from the laminar flow simulations using Modified Nodal Integral Method (MNIM), serves as a motivation to use the method for turbulent flow simu...