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Sviatoslavsky, I., S. W. Van Sciver, G. L. Kulcinski, D. T. Anderson, A. W. Bailey, J. D. Callen, J. A. Derr, G. A. Emmert, L. El-Guebaly, A. Khalil, et al., "UWTOR-Ma conceptual design study of a modular stellarator power reactor", IEEE Transactions on Plasma Science, vol. 9, no. 4: IEEE, pp. 163–172, 1981. Abstract
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AL-SHERBINI, E. L. - S. A. Y. E. D. A. M., "UV–visible light reshaping of gold nanorods", Materials Chemistry and Physics, vol. 121, issue 121, pp. 349–353, 2010. 36.pdf
AL-SHERBINI, E. L. - S. A. Y. E. D. A. M., "UV–visible light reshaping of gold nanorods", Materials Chemistry and Physics, vol. 121, issue 121, pp. 349–353, 2010. 36.pdf
Fahmy, A. A., R. Bahgat, S. AbdelRahman, and S. Makady, "UVCR: A UML-based Visual Constraints Representation Tool", INFOS2005, Cairo-Egypt, pp. 171-178, 2005.
Fahmy, A. A., R. Bahgat, S. Abdelrahman, and S. Makady, "UVCR: A UML-based Visual Constraints Representation Tool", INFOS2005 , Egypt, March, 2005.
Khedr, T. M., S. M. El-Sheikh, Adel A. Ismail, and D. D. D. Waheed A. Badawy, "UV/ brookite-anatase heterojunction TiO2 photocatalytic decomposition of diclofenac in water", Conference on Nanomaterials Synthesis, Fabrication And Applications (Nanotech Challenges 2014), Cairo, Egypt., 14-17 April 2014.
El-Shirbini, S., Y. A. Attia, and M. Mohamed, "UV-Irradiation Induced Shape Changes of Gold Nanoparticles", Nano Science & Nano Technology: An Indian Journal , vol. 2, issue 1, pp. 20-24, 2008. uvlight-induced-shape-changes-of-gold-nanoparticles.pdf
Basha, M. A. F., and A. M. Mostafa, "UV-induced macromolecular and optical modifications in gelatin solid films with transition metal chlorides", Journal of Molecular Structure, vol. 1182, pp. 181-190, 2019.
Khalil, A. A. I., F. Salman, and Z. Yamani, "UV laser-induced transport properties change in silver metaphosphate glass", Optics Communications, vol. 283, issue 24: Elsevier, pp. 5173-5182, 2010. Abstract
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Badr, Y., Z. I. Ali, and R. M. Khafagy, "UV laser induced fluorescence of unirradiated and irradiated low density polyethylene", Journal of Photochemistry and Photobiology A: Chemistry, vol. 124, no. 1-2, pp. 35-40, 1999. AbstractWebsite
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Ibrahim, Y., and M. Yousif, "Utumi Modules", Communications in Algebra, vol. 46, issue 2, pp. 870–886, 2018.
Ayoub, A., and A. Elgammal, "Utilizing Twitter Data for Identifying and Resolving Runtime Business Process Disruptions", On the Move to Meaningful Internet Systems. OTM 2018 Conferences, CoopIS'2018, Malta, 2018.
Magdy, A., and A. Elgammal, "Utilizing Twitter Data for Identifying and Resolving Runtime Business Process Disruptions", CoopIS 2018: 26th International Conference on COOPERATIVE INFORMATION SYSTEMS, Valletta, Malta, Springer, pp. 17, 2018. _474924_1_en_11_chapter_author.pdf
Elassal, M. M., Utilizing the Theory of Constraints in Supply Chain Network Design, , Giza, Cairo University, 2014. Abstract

Over the past decades, companies have become more and more concerned with maximizing company profits as well as maximizing their customer service level by efficiently managing supply chains. This thesis focuses on three major supply chain decisions that are highly related to supply chain profit, namely facility location, safety stock, and lot sizing. The first decision is strategic in nature, as a part of the supply chain network design, while the other two can be classified as operational decisions. The current study attempts to deploy concepts borrowed from the Theory of Constraints (TOC) to maximize the overall throughput of the supply chain rather than maximizing the throughput of every process separately. By utilizing this concept, supply chain network design decisions should be made to minimize the amount of inventory at each region in order to reach the global optimization.
This thesis is intended to formulate, solve, and implement a mathematical model that incorporates the concepts of TOC into multi-echelon supply chain network design under demand uncertainty to determine the optimal location of facilities and the optimal lot size. The objective is to minimize the total cost across the supply chain network as well as to minimize the total inventory capacity at each facility. For that purpose, the researcher follows an incremental methodology in which a series of mathematical models are developed and solution algorithms are proposed and tested leading to a final comprehensive model. The first model focused on locating a new distribution center under demand uncertainty. It is, then, extended in the second model to consider the location of a new distribution center with varying inventory capacity. Another model is then applied to tackle the joint economic lot sizing problem (JELS) under demand uncertainty. The fourth model further integrates the facility location problem with the joint economic lot sizing problem under demand uncertainty. Finally, the fifth model utilizes the TOC in integrated facility location and joint economic lot sizing problems.
In order to solve these models, several computational intelligence optimization techniques are proposed, implemented, and compared: particle swarm optimization (PSO), gravitational system search (GSA), cuckoo search (CS), charged system search (CSS), non-dominated sorting charged system search (NSCSS), non-dominated sorting particle swarm (NSPSO) algorithm, and non-dominated genetic-II (NSGA-II).
Given the constrained nature of the problem, the thesis proposes and compares four methods (i.e. naive, penalty, penalty with feasibility rules, and heuristic) for handling problem constraints; moreover, it proposes and testes a mixed integer procedure (MI) for converting continuous stochastic algorithms into mixed integer stochastic algorithms.
The numerical analysis of results is accordingly presented, including comparisons with models established in the literature. In general, results show that applying the TOC reduces the total cost of the whole supply chain by about 50%. Results also demonstrate that solving the multi-objective problems by using multi-objective stochastic algorithms is better than solving them by using single objective stochastic algorithms, thereby reducing the total cost more than 80% and reducing the total inventory more than 18%; the best algorithm is, thus, the NSPSO with 99.71% of its final solutions ranked on the first front. Additionally, using varying inventory reduces the total inventory amount by about 20%. The suggested penalty with feasibility rules constraint handling method is considered better than the penalty or feasibility rules alone. The findings also assert that the CSS algorithm is the best algorithm for solving JELS problems.

Mohamed, N. S., and M. E. M. Nady, "Utilizing the rock-eval pyrolysis and biomarkers parameters to characterize the organic matters of selected wells in the Central Gulf of Suez, Egypt", Energy Source, part A: Recovery, Utilization , and Environmental Effects ., vol. 38, issue 21, pp. 3158-3166, 2016.
Ahmed, D. M., S. A. E. M. Dayem, M. A. Kader, R. H. Khalifa, D. H. El-Lebedy, S. A. Kamel, and S. M. Shawky, "Utilizing the KCNJ11 Gene Mutations in Spotting Egyptian Patients With Permanent Neonatal Diabetes Who Can Benefit From Treatment Shift", Laboratory Medicine, vol. 48, issue 31, pp. 225–229, 2017. AbstractWebsite

Background
Neonatal diabetes mellitus (NDM) is a monogenic form of diabetes mellitus. Until now, patients in developing countries who had this condition had been misdiagnosed as having type 1 diabetes mellitus and accordingly directed to erroneous, ineffective, and costly therapeutic regimens.

Objective
To detect Egyptian patients who harbor pathological variant in the KCNJ11 gene, so that their treatment regimen can be modified as needed to increase its effectiveness.

Methods
We sequenced KCNJ11 in 17 ethnic Egyptian probands diagnosed with diabetes mellitus before age 2 years.

Results
A preliminary case individual harboring a KCNJ11 pathological variant (p.R201H) was identified. The patient was successfully shifted from insulin therapy to sulfonylurea. Four previously identified benign variants, namely, E23K, I337V, L270V, and A190A, were detected in this patient.

Conclusion
Implementing the findings of this molecular analysis could have a major clinical and nationwide economic impact on world health, especially in developing countries.

Zahra, I. M., "Utilizing the Dimensions of Religion to Analyse Social Media Campaigns", Promoting Interdisciplinarity in Knowledge Generation and Problem Solving: IGI Global, 2018.
Essa, K. S., E. R. Abo‑Ezz, and Y. Géraud, "Utilizing the analytical signal method in prospecting gravity anomaly profiles", Environmental Earth Sciences, vol. 80, issue 17, pp. 591, 2021.
Said, H., T. Nicoletti, and P. Perez-Hernandez, "Utilizing Telematics Data to Support Effective Equipment Fleet-Management Decisions: Utilization Rate and Hazard Functions", Journal of Computing in Civil EngineeringJournal of Computing in Civil Engineering: American Society of Civil Engineers, pp. 04014122, 2014. Abstractsaid-etal-2014_telematicsfleetmngmnt.pdfWebsite

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Adly, A. A., H. H. Hanafy, and S. E. Abo-Shady, "Utilizing Preisach Models of Hysteresis in the Computation of Three-Phase Transformer Inrush Currents", Electric Power Systems Research, vol. 65, pp. 233-238, 2003.
Adly, A. A., and S. K. Abd-El-Hafiz, "Utilizing particle swarm optimization in the field computation of nonlinear media subject to mechanical stress", Journal of Applied Physics, vol. 105, issue 7: AIP, pp. 07D507, 2009. Abstract
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Adly, A. A., and S. K. Abd-El-Hafiz, "Utilizing particle swarm optimization in the field computation of non-linear magnetic media", Applied Computational Electromagnetics Society Journal, vol. 18, issue 3: APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY INC, pp. 202-209, 2003. Abstract
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M.Kamal, A., M. A.Shaaban, and O. M. A. Badry, "Utilizing of 4-(benzothiazol-2-yl)phenylamine as a precursor of bioactive agents", organic Chemistry, An Indian Journal, vol. 8, issue 9, pp. 349-356, 2012.