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Rasmy, A. H. M., T. A. Harhash, R. M. S. Ghali, E. M. F. El-Maghraby, and D. H. El-Rouby, Comparative study between laser and conventional techniques for class V cavity preparation in gamma-irradiated teeth (in vitro study). , , 2017. Abstract

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Kamal Ahmed, O. A., O. F. A. A. Balah, A. F. Rahmy, and H. H. Noaman, Comparing the Effect of Low-Level Laser Therapy Versus Therapeutic Ultrasound After Distal End of Radius Fracture, : https://fizjoterapiapolska.pl/en/article/porownanie-efektow-laseroterapii-niskopoziomowej-i-terapii-ultradzwiekowej-po-zlamaniu-dalszego-konca-kosci-promieniowej/, 2021. Abstract
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Asal, Y. M., I. M. Al-Akraa, A. M. Mohammad, and M. S. El-Deab, "A competent simultaneously co-electrodeposited Pt-MnOx nanocatalyst for enhanced formic acid electro-oxidation", Journal of the Taiwan Institute of Chemical Engineers: Taiwan Institute of Chemical Engineers, 2018. Abstract

In this paper, a new methodology replacing the typical sequential layer-by-layer immobilization, i.e., simultaneous co-electrodeposition protocol is proven eminent for assembling efficient binary nanoelectrocatalysts for formic acid (FA) electro-oxidation (FAO). This strategy is successful to integrate homogeneously Pt nanoparticles (nano-Pt; essential component for FA adsorption/oxidation) with manganese oxide nanowires (nano-MnOx; a CO poisoning alleviator) in a single blend avoiding the poisoning CO adsorption at the catalyst surface. The molar ratio of the catalyst's ingredients (Pt:Mn) in the deposition bath is critical in identifying the catalyst's composition of the prepared binary catalyst and thus, a molar ratio of (1:8) is optimum yielding the highest catalytic activity. It is believed that adjusting the catalyst's composition could preferably act against the adsorption of poisoning CO intermediate and/or providing an electronic support to the desired (low over potential) direct dehydrogenation pathway of FAO to CO2. © 2018 Taiwan Institute of Chemical Engineers

El-Ashry, M. M., O. Tobail, and G. S. Tulevski, Composite anode structure for high energy density lithium-ion batteries, : Google Patents, 2011. Abstract
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El-Saban, M. A., and A. M. Kaheel, Composite video generation, , 2013. Abstract
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El-Saban, M. A., A. M. Kaheel, M. A. Refaat, and A. M. A. Hamid, Composite video generation, , 2013. Abstract
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Smolinski, T. G., M. G. Milanova, and A. - E. Hassanien, Computational Intelligence in Biomedicine and Bioinformatics: Current trends and applications, : Springer, 2009. Abstract
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Smolinski, T. G., M. G. Milanova, and A. - E. Hassanien, Computational Intelligence in Biomedicine and Bioinformatics: Current trends and applications, : Springer, 2009. Abstract
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Schaefer, G., A. Hassanien, and J. Jiang, Computational Intelligence in Medical Imaging: Techniques and Applications, : CRC press, 2009. Abstract
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Hassanien, A. - E., and A. Abraham, Computational intelligence in multimedia processing: recent advances, : Springer, 2008. Abstract
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Hassanien, A. - E., and A. Abraham, Computational intelligence in multimedia processing: recent advances, : Springer, 2008. Abstract
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Abraham, A., A. - E. Hassanien, V. Sná, and others, Computational social network analysis: Trends, tools and research advances, : Springer Science & Business Media, 2009. Abstract
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Abraham, A., A. - E. Hassanien, V. Sná, and others, Computational social network analysis: Trends, tools and research advances, : Springer Science & Business Media, 2009. Abstract
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Abraham, A., and A. - E. Hassanien, Computational social networks: Tools, perspectives and applications, : Springer Science & Business Media, 2012. Abstract
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Abraham, A., and A. - E. Hassanien, Computational social networks: Tools, perspectives and applications, : Springer Science & Business Media, 2012. Abstract
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Sapp, J. L., B. M. Horacek, A. M. F. El-Damaty, and others, Computer-aided localization of site of origin of cardiac activation, , 2018. Abstract
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