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Tumor growth depends on blood supply, requiring the development of new vessels, and vascular endothelial growth factor (VEGF) plays a central role in neoangiogenic processes. For this reason, VEGF represents a target for the development of new therapeutic antiangiogenic molecules. Clinical trials using anti-VEGF mAbs such as bevacizumab have validated the(More)
Received Aug 2, 2013 Revised Oct 14, 2013 Accepted Oct 28, 2013 The H.264/AVC standard achieves remarkable higher compression performance than the previous MPEG and H.26X standards. One of the computationally intensive units in the MPEG and H.26X video coding families is the Discrete Cosine Transform (DCT). In this paper, we propose an efficient(More)
In this paper, a new classification method based on k-Nearest Neighbor (kNN) lazy classifier is proposed. This method leverages the clustering concept to reduce the size of the training set in kNN classifier and also in order to enhance its performance in terms of time complexity. The new approach is called Modified Nearest Neighbor Classifier Based on(More)
Mutation of the VHL tumor suppressor gene is a frequent genetic event in the carcinogenesis of renal-cell carcinoma (RCC). Circulating endothelial progenitor cells (EPCs) have important role in neoangiogenesis, and mobilization of these cells is induced by various growth factors including erythropoietin (EPO). With this regard, we analyzed a patient with(More)
Nature is a huge source of inspiration for solving difficult issues and complex problems in computer science which always finds an optimal solution to solve its problem by maintaining a perfect balance between its components. A meta-heuristic algorithm that is inspired by the nature which imitates the nature has opened a new era in the calculations for(More)