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We are witnessing a proliferation of massive visual data. Unfortunately scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same algorithmic, logistical, and infrastructural problems. Our goal is to democratize computer vision; one should not have to be a computer vision , big data and distributed(More)
Members of transforming growth factor-beta (TGF-beta) superfamily play pivotal roles in development in multicellular organisms. We report the functional characterization of the Schistosoma mansoni type II receptor (SmTbetaRII). Mining of the S. mansoni expressed sequence tag (EST) database identified an EST clone that shows homology to the kinase domain of(More)
  • Iman F. Galal, Zainab Zakaria, Walaa R. Allam, Mohamed A. Mahmoud, Ahmed R. Ezzat, Ahmed Osman +3 others
  • 2014
BACKGROUND Hepatitis C Virus (HCV) infection is a global health burden particularly in Egypt, where HCV genotype 4a (GT-4a) predominates. The prevention and control of HCV infection will remain a challenge until the development of an effective vaccine that protects against different genotypes. Several HCV GT-1-based vaccines are in different stages of(More)
  • Åsa Persson, Ahmed Osman, Hayde Bolouri, Carina Mallard, H Georg Kuhn
  • 2013
Stroke induces extensive tissue remodeling, resulting in the activation of several cell types in the brain as well as recruitment of blood-borne leucocytes. Radixin is part of a cytoskeleton linker protein family with the ability to connect transmembrane proteins to the actin cytoskeleton, promoting cell functions involving a dynamic cytoskeleton such as(More)
  • Nour M. Abd El Kader, María-Alejandra Blanco, Marwa Ali-Tammam, Abd El Rahman B. Abd El Ghaffar, Ahmed Osman, Nabila El Sheikh +2 others
  • 2011
Cryptosporidium is a significant cause of diarrheal disease in developing and industrialized nations. Cryptosporidium hominis and Cryptosporidium parvum are the main agents of cryptosporidiosis in humans. In Egypt, very little is known about genetic structure of Cryptosporidium spp. Therefore, this study was designed to examine samples from sporadic cases(More)
  • Ahmed Osman, Abdelrahman Abdalla, Elfaki Osman, Mohammed Yahya, Almurtadha
  • 2016
Determination of optimum feed forward artificial neural network (ANN) design and training parameters is an extremely important mission. It is a challenging and daunting task to find an ANN design, which is effective and accurate. This paper presents a new methodology for the optimization of ANN parameters as it introduces a process of training ANN which is(More)
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