Výsledky vyhledávání - "Ahmed Shawki"

Akademický článek

Evaluating the retro-auricular incision versus reversed question mark incision and Kempe's 'T-bar' incision for decompressive hemicraniectomy

Autor: Mohamed Ahmed Eltabl, Ahmed Shawki Ammar, Dalia Salah Saif

Publikováno v: Egyptian Journal of Neurosurgery, Vol 37, Iss 1, Pp 1-7 (2022)

Abstract Background The proper decompression for hemicraniectomy depends on intraoperative surgical technique, so the skin incision, on the other hand, is an important variable throughout hemicraniectomy, and there are a variety of cutaneous incision

Externí odkaz: https://doaj.org/article/aa2b6906c0064a1998a6552b6b198a81

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Akademický článek

A Comparison of Finite Difference and Finite Volume Methods with Numerical Simulations: Burgers Equation Model

Autor: Ali Hasan Ali, Ahmed Shawki Jaber, Mustafa T. Yaseen, Mohammed Rasheed, Omer Bazighifan, Taher A. Nofal

Publikováno v: Complexity, Vol 2022 (2022)

In this paper, we present an intensive investigation of the finite volume method (FVM) compared to the finite difference methods (FDMs). In order to show the main difference in the way of approaching the solution, we take the Burgers equation and the

Externí odkaz: https://doaj.org/article/6f4903f06f0e4f0ea5c30b71170cbc5c

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Akademický článek

Incidental findings of Cysticercus tenuicollis metacestodes in five oryx species

Autor: Stephen Chege, Arshad Toosy, Ahmed Sakr, Ahmed Shawki, Sean O'Sullivan, Ana Perez de Vargas, Tatiana Cavero, Amir Islam

Publikováno v: Asian Pacific Journal of Tropical Biomedicine, Vol 6, Iss 1, Pp 90-92 (2016)

Objective: To determine the prevalence of Cysticercus tenuicollis (C. tenuicollis) metacestodes in five oryx species kept in Al Ain Zoo animal collection. Methods: This study was based on a retrospective analysis of post-mortem records covering a fou

Externí odkaz: https://doaj.org/article/80eb0f34cf284b49828275e6013ea45b

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Akademický článek

Solving Non Linear Function with Two Variables by Using Particle Swarm Optimization Algorithm

Autor: Ahmed Shawki Jaber

Publikováno v: Engineering and Technology Journal, Vol 29, Iss 5, Pp 1021-1031 (2011)

The meaning of the Particle Swarm Optimization (PSO) refers to a relatively new family of algorithms that may be used to find optimal (or near optimal) solutions to numerical and qualitative problems. The genetic algorithm (GA) is an adaptive search

Externí odkaz: https://doaj.org/article/ea184a71a56244619b6bb9190dda18d5

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