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5,254 results on '"Salem, Mohamed"'

15. AESTHETIC AND TECHNICAL IMPACT USING 3D PRINT

Author

Lect. Dalia Salem Mohamed Abdul Latif

Subjects
modern technology, 3d printing technologies, 3d design., Architecture, NA1-9428
Abstract

Due to the rapid development of modern technology and its effectiveness in finding many solutions to many problems that were hindering the implementation of many ideas, there has become an urgent necessity to introduce these modern technologies to works of art in order to enrich them and make countless formal treatments, leaving the artist free rein to innovate and create without restriction. 3D printing is widely used in the world. 3D printing technology is increasingly used for mass customization and production of any type of design so 3D printing is a real revolution, and an essential tool in innovation as it has extended to many practical fields such as medicine, construction and education, and its use is no longer limited to specialists and experts, Indeed, its rapid development over the past few years has made its use and handling as easy as dealing with well-known paper printers.

Published
2024
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16. Assessing and Improving Walkability and Cycling in Urban Areas: A Case Study in Kuwait

Author

Salem, Mohamed M., Abul, Fatmah A., Altarrad, Fatemah A., Alrashidi, Aseel D., Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Battisti, Alessandra, editor, Piselli, Cristina, editor, Strauss, Eric J, editor, Dobjani, Etleva, editor, and Kristo, Saimir, editor

Published
2024
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17. Integrated Care for Frailty

Author

Hendry, Anne, O’Caoimh, Ronan, Salem, Mohamed A., Carriazo, Ana, Roller-Wirnsberger, Regina, Ruiz, Jorge G., editor, and Theou, Olga, editor

Published
2024
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24. Variation-based Cause Effect Identification

Author

Salem, Mohamed Amine ben, Barsim, Karim Said, and Yang, Bin

Subjects
Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Statistics - Methodology, Statistics - Machine Learning
Abstract

Mining genuine mechanisms underlying the complex data generation process in real-world systems is a fundamental step in promoting interpretability of, and thus trust in, data-driven models. Therefore, we propose a variation-based cause effect identification (VCEI) framework for causal discovery in bivariate systems from a single observational setting. Our framework relies on the principle of independence of cause and mechanism (ICM) under the assumption of an existing acyclic causal link, and offers a practical realization of this principle. Principally, we artificially construct two settings in which the marginal distributions of one covariate, claimed to be the cause, are guaranteed to have non-negligible variations. This is achieved by re-weighting samples of the marginal so that the resultant distribution is notably distinct from this marginal according to some discrepancy measure. In the causal direction, such variations are expected to have no impact on the effect generation mechanism. Therefore, quantifying the impact of these variations on the conditionals reveals the genuine causal direction. Moreover, we formulate our approach in the kernel-based maximum mean discrepancy, lifting all constraints on the data types of cause-and-effect covariates, and rendering such artificial interventions a convex optimization problem. We provide a series of experiments on real and synthetic data showing that VCEI is, in principle, competitive to other cause effect identification frameworks.

Published
2022

25. Exploring the potential of phenolic and antioxidant compounds identified and quantified of Caesalpinia coriaria fruits and their impacts on lambs’ performance and health

Author

Ruiz Pedro Enrique Hernández, Elghandour Mona Mohamed Mohamed Yasseen, Ponce-Covarrubias José Luis, Burgos Blanca Celia Pineda, Adegbeye Moyosore Joseph, Mellado Miguel, Salem Mohamed Z.M., and Salem Abdelfattah Z.M.

Subjects
antioxidant, phenolic, flavonoid, caesalpinia coriaria, growth performance, lambs, Biotechnology, TP248.13-248.65
Abstract

This study aimed to assess the impact of the identified phenolic, flavonoid, and fat-soluble vitamin compounds found in Caesalpinia coriaria fruits (EC) aqueous extract on growth performance, helminth parasitic load, feeding behavior, and physiological variables in lambs. The fruits were extracted using water, and three doses of the extract as no extract (EC0 mL/lamb/day), 30 mL of aqueous extract of Caesalpinia coriaria fruits (EC30 mL/lamb/day), or 60 mL of aqueous extract of Caesalpinia coriaria fruits (EC60 mL/lamb/day) were orally administered to 24 growing crossbred lambs weighing 18-20 kg for 60 days. The HPLC analysis revealed that ferulic acid, ellagic acid, syringic acid, quercetin, and hesperidin were the predominant compounds in Caesalpinia coriaria fruits. Additionally, water-soluble vitamin compounds such as thiamine, pantothenic acid, and niacin were detected in the Caesalpinia coriaria fruit extract. The dietary administration of EC improved (P < 0.05) average daily gain and feed and water intake. EC30 lambs spent more time (P < 0.03) eating and less time ruminating. The aqueous extract also showed a dose-dependent reduction (P = 0.048) in fecal parasite egg count, with a steady decrease (P = 0.0001) as the extract was applied. EC0 lambs exhibited the highest (P < 0.0001) respiratory frequency and EC30 the lowest. A strong positive correlation was identified between rectal and abdomen temperature in the morning and afternoon measurements. The presence of phenolic and antioxidants in the aqueous extract of C. coriaria, up to 60 mL, demonstrated beneficial effects, including improved productivity, anti-parasitic activity, and mitigation of body temperature. Thus, farmers without access to synthetic drugs can use this plant extract to treat their animals during fattening to reduce gastrointestinal parasites, improve growth rate, and reduce drug residue in animal products. Further studies need to be carried out on the individual components of Caesalpinia coriaria fruits to ascertain their effect on body temperature/physiology and to know if the effects are individualistic or synergistic.

Published
2024
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