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22,943 results on '"A. Fawzy"'

1. Exploiting Dialect Identification in Automatic Dialectal Text Normalization

Author

Alhafni, Bashar, Al-Towaity, Sarah, Fawzy, Ziyad, Nassar, Fatema, Eryani, Fadhl, Bouamor, Houda, and Habash, Nizar

Subjects
Computer Science - Computation and Language
Abstract

Dialectal Arabic is the primary spoken language used by native Arabic speakers in daily communication. The rise of social media platforms has notably expanded its use as a written language. However, Arabic dialects do not have standard orthographies. This, combined with the inherent noise in user-generated content on social media, presents a major challenge to NLP applications dealing with Dialectal Arabic. In this paper, we explore and report on the task of CODAfication, which aims to normalize Dialectal Arabic into the Conventional Orthography for Dialectal Arabic (CODA). We work with a unique parallel corpus of multiple Arabic dialects focusing on five major city dialects. We benchmark newly developed pretrained sequence-to-sequence models on the task of CODAfication. We further show that using dialect identification information improves the performance across all dialects. We make our code, data, and pretrained models publicly available., Comment: Accepted to ArabicNLP 2024, ACL

Published
2024

3. The HCV-Melanoma Paradox: First Multi-Cohort and Molecular Net-Work Analysis Reveals Lower Incidence but Worse Outcomes-Integrating Clinical, Real-World, and In Silico Data.

Author

Al Ageeli, Essam, Abdulhakim, Jawaher, Hussein, Mohammad, Alnoman, Maryam, Alkhalil, Samia, Issa, Peter, Nemr, Nader, Abdelmaksoud, Ahmed, Alenizi, Dhaifallah, Fawzy, Manal, and Toraih, Eman

Subjects
HCV, IPA, melanoma, molecular markers, prognosis, risk factors, Humans, Melanoma, Male, Female, Middle Aged, Retrospective Studies, Hepatitis C, Aged, Cohort Studies, Incidence, Computer Simulation, Adult, Hepacivirus
Abstract

Background and Objectives: The relationship between hepatitis C virus (HCV) infection and melanoma remains poorly understood. This study aimed to investigate the association between HCV and melanoma, assess outcomes in patients with both conditions, and explore potential molecular mechanisms connecting the two diseases. Materials and Methods: We conducted a retrospective cohort study of 142 melanoma patients, including 29 with HCV-related cirrhosis, and analyzed their clinical outcomes. For external validation, we used the TriNetX Global Collaborative Network database, comprising 219,960 propensity-matched patients per group. An in silico analysis was performed to identify the molecular pathways linking HCV and melanoma. Results: In the retrospective cohort, HCV-positive melanoma patients showed an increased risk of early relapse (41.4% vs. 18.6%, p = 0.014), recurrence (65.5% vs. 39.8%, p = 0.020), and mortality (65.5% vs. 23.0%, p < 0.001) compared to HCV-negative patients. TriNetX data analysis revealed that HCV-positive patients had a 53% lower risk of developing melanoma (RR = 0.470, 95% CI: 0.443-0.498, p < 0.001). However, HCV-positive melanoma patients had higher all-cause mortality (HR = 1.360, 95% CI: 1.189-1.556, p < 0.001). An in silico analysis identified key molecular players, including IL-6 and CTLA4, in the HCV-melanoma network. Conclusions: While HCV infection may be associated with a lower risk of melanoma development, HCV-positive patients who develop melanoma have poorer outcomes. The identified molecular pathways provide potential targets for future research and therapeutic interventions.

Published
2024

4. Beyond Glycemic Control: GLP-1 Receptor Agonists and Their Impact on Calcium Homeostasis in Real-World Patients.

Author

Alenezi, Bandar, Elfezzani, Nadra, Uddin, Rukhsana, Patel, Hinali, Chester, Sydney, Abdelmaksoud, Ahmed, Hussein, Mohammad, Zaitone, Sawsan, Fawzy, Manal, Aiash, Hani, and Toraih, Eman

Subjects
GLP-1R agonists, all-cause mortality, calcium homeostasis, cardiovascular events, healthcare utilization, long-term safety, obesity, personalized treatment, propensity-matched controls, type 2 diabetes
Abstract

Background/Objectives: The effect of glucagon-like peptide-1 receptor (GLP-1R) agonists on calcium homeostasis is poorly understood. This study aimed to investigate the association between GLP-1R agonist use and the risk of hypocalcemia and/or hypercalcemia, as well as other clinical outcomes. Methods: A retrospective cohort study used de-identified patient data from the TriNetX Global Collaborative Network, including 15,655 adult patients prescribed GLP-1R agonists and 15,655 propensity-matched controls. Outcomes included hypocalcemia, hypercalcemia, emergency visits, hospitalizations, cardiovascular events, and all-cause mortality. Results: GLP-1R agonist use was associated with a reduced risk of hypocalcemia (2.7% vs. 5.5%, RR 0.49, 95% CI: 0.44-0.55) but an increased risk of hypercalcemia (2.3% vs. 1.1%, RR 2.02, 95% CI: 1.69-2.42). The effect on hypocalcemia was most pronounced during the first six months of treatment. Among individual agents, tirzepatide showed the most pronounced effect, reducing hypocalcemia risk by 63% while increasing hypercalcemia risk by 85%. Semaglutide demonstrated similar effects, while dulaglutide and liraglutide showed modest effects. Furthermore, GLP-1R agonist use was associated with reduced risks of emergency visits (RR 0.57, 95% CI: 0.54-0.60), hospitalizations (RR 0.40, 95% CI: 0.36-0.44), cardiovascular events, and all-cause mortality (HR 0.27, 95% CI: 0.21-0.36). Conclusions: GLP-1R agonists exhibit a complex influence on calcium homeostasis, reducing hypocalcemia risk while increasing hypercalcemia risk. Beyond calcium regulation, these medications significantly reduce healthcare utilization, improve cardiovascular outcomes, and decrease mortality. Further research is needed to elucidate the mechanisms behind the differential effects of individual GLP-1R agonists, particularly tirzepatide, to optimize personalized treatment approaches and long-term safety.

Published
2024

5. IoTSim-Osmosis-RES: Towards autonomic renewable energy-aware osmotic computing

Author

Szydlo, Tomasz, Szabala, Amadeusz, Kordiumov, Nazar, Siuzdak, Konrad, Wolski, Lukasz, Alwasel, Khaled, Habeeb, Fawzy, and Ranjan, Rajiv

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Internet of Things systems exists in various areas of our everyday life. For example, sensors installed in smart cities and homes are processed in edge and cloud computing centres providing several benefits that improve our lives. The place of data processing is related to the required system response times -- processing data closer to its source results in a shorter system response time. The Osmotic Computing concept enables flexible deployment of data processing services and their possible movement, just like particles in the osmosis phenomenon move between regions of different densities. At the same time, the impact of complex computer architecture on the environment is increasingly being compensated by the use of renewable and low-carbon energy sources. However, the uncertainty of supplying green energy makes the management of Osmotic Computing demanding, and therefore their autonomy is desirable. In the paper, we present a framework enabling osmotic computing simulation based on renewable energy sources and autonomic osmotic agents, allowing the analysis of distributed management algorithms. We discuss the challenges posed to the framework and analyze various management algorithms for cooperating osmotic agents. In the evaluation we show that changing the adaptation logic of the osmotic agents, it is possible to increase the self-consumption of renewable energy sources or increase the usage of low emission ones.

Published
2024
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8. Postdigital Videogames Literacies: Thinking With, Through, and Beyond James Gee’s Learning Principles

Author

Bacalja, Alexander, Nichols, T. Phillip, Robinson, Bradley, Bhatt, Ibrar, Kucharczyk, Stefan, Zomer, Chris, Nash, Brady, Dupont, Bruno, De Cock, Rozane, Zaman, Bieke, Bonenfant, Maude, Grosemans, Eva, Abrams, Sandra Schamroth, Vallis, Carmen, Koutsogiannis, Dimitrios, Dishon, Gideon, Reed, Jack, Byers, Thomas, Fawzy, Rania Magdi, Hsu, Hsiao-Ping, Lowien, Nathan, Barton, Georgina, Callow, Jon, Liu, Zirui, Serafini, Frank, Vermeire, Zowi, deHaan, Jonathan, Croasdale, Alison, Torres-Toukoumidis, Angel, Xu, Xiao, and Schnaider, Karoline

Published
2024
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22. Exploring Data Management Challenges and Solutions in Agile Software Development: A Literature Review and Practitioner Survey

Author

Fawzy, Ahmed, Tahir, Amjed, Galster, Matthias, and Liang, Peng

Subjects
Computer Science - Software Engineering
Abstract

Context: Managing data related to a software product and its development poses significant challenges for software projects and agile development teams. These include integrating data from diverse sources and ensuring data quality amidst continuous change and adaptation. Objective: The paper systematically explores data management challenges and potential solutions in agile projects, aiming to provide insights into data management challenges and solutions for both researchers and practitioners. Method: We employed a mixed-methods approach, including a systematic literature review (SLR) to understand the state-of-research followed by a survey with practitioners to reflect on the state-of-practice. The SLR reviewed 45 studies, identifying and categorizing data management aspects along with their associated challenges and solutions. The practitioner survey captured practical experiences and solutions from 32 industry practitioners who were significantly involved in data management to complement the findings from the SLR. Results: Our findings identified major data management challenges in practice, such as managing data integration processes, capturing diverse data, automating data collection, and meeting real-time analysis requirements. To address these challenges, solutions such as automation tools, decentralized data management practices, and ontology-based approaches have been identified. These solutions enhance data integration, improve data quality, and enable real-time decision-making by providing flexible frameworks tailored to agile project needs. Conclusion: The study pinpointed significant challenges and actionable solutions in data management for agile development. Our findings provide practical implications for practitioners and researchers, emphasizing the development of effective data management practices and tools to address those challenges and improve project success.

Published
2024

23. Design Thinking: An Approach to Develop Writing Performance through the EFL Context for Secondary Stage Students

Author

Amira Fawzy Abd Al Fattah Afifi

Abstract

This study investigated the effect of Design Thinking on developing the secondary stage students' EFL writing performance. A randomly selected group of the secondary stage students (N=14) in Al Borg Governmental School in Al Khanka, Qalyubia Governorate, Egypt, in the academic year 2021/2022 were trained through a proposed program based on using Design Thinking for developing writing performance. The design of the present study was based on the one-group, mixed research design. A pre-posttest was designed and administered to the group before and after the implementation of the proposed program. The test aimed to determine to what extent the Design Thinking Approach helped the secondary stage students to master their writing performance. The researcher designed a nine week program, the pre/posttest, the rubric, and the participants' questionnaire. The nine-week intensive English language program was three sessions a week, to boost their writing performance. The obtained data was statistically analyzed using Wilcoxon Test, and the effect size factor as well as qualitatively analyzed through the rubric. Both the quantitative and qualitative analysis revealed that design thinking has an effective influence on promoting EFL secondary stage writing performance.

Published
2023

24. Origin and evolution of the bread wheat D genome

Author

Cavalet-Giorsa, Emile, González-Muñoz, Andrea, Athiyannan, Naveenkumar, Holden, Samuel, Salhi, Adil, Gardener, Catherine, Quiroz-Chávez, Jesús, Rustamova, Samira M., Elkot, Ahmed Fawzy, Patpour, Mehran, Rasheed, Awais, Mao, Long, Lagudah, Evans S., Periyannan, Sambasivam K., Sharon, Amir, Himmelbach, Axel, Reif, Jochen C., Knauft, Manuela, Mascher, Martin, Stein, Nils, Chayut, Noam, Ghosh, Sreya, Perovic, Dragan, Putra, Alexander, Perera, Ana B., Hu, Chia-Yi, Yu, Guotai, Ahmed, Hanin Ibrahim, Laquai, Konstanze D., Rivera, Luis F., Chen, Renjie, Wang, Yajun, Gao, Xin, Liu, Sanzhen, Raupp, W. John, Olson, Eric L., Lee, Jong-Yeol, Chhuneja, Parveen, Kaur, Satinder, Zhang, Peng, Park, Robert F., Ding, Yi, Liu, Deng-Cai, Li, Wanlong, Nasyrova, Firuza Y., Dvorak, Jan, Abbasi, Mehrdad, Li, Meng, Kumar, Naveen, Meyer, Wilku B., Boshoff, Willem H. P., Steffenson, Brian J., Matny, Oadi, Sharma, Parva K., Tiwari, Vijay K., Grewal, Surbhi, Pozniak, Curtis J., Chawla, Harmeet Singh, Ens, Jennifer, Dunning, Luke T., Kolmer, James A., Lazo, Gerard R., Xu, Steven S., Gu, Yong Q., Xu, Xianyang, Uauy, Cristobal, Abrouk, Michael, Bougouffa, Salim, Brar, Gurcharn S., Wulff, Brande B. H., and Krattinger, Simon G.

Published
2024
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36. Evaluating Neighbor Explainability for Graph Neural Networks

Author

Llorente, Oscar, Fawzy, Rana, Keown, Jared, Horemuz, Michal, Vaderna, Péter, Laki, Sándor, Kotroczó, Roland, Csoma, Rita, and Szalai-Gindl, János Márk

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

Explainability in Graph Neural Networks (GNNs) is a new field growing in the last few years. In this publication we address the problem of determining how important is each neighbor for the GNN when classifying a node and how to measure the performance for this specific task. To do this, various known explainability methods are reformulated to get the neighbor importance and four new metrics are presented. Our results show that there is almost no difference between the explanations provided by gradient-based techniques in the GNN domain. In addition, many explainability techniques failed to identify important neighbors when GNNs without self-loops are used.

Published
2023

42. Swimmer arm-to-shoulder test for early differentiation between shoulder and cervical spine pathology in patients with shoulder pain

Author

Hamoud, Hesham, Aly, Hany, Elmotaleb, Yasser A., Ghit, Mohamad M., Mosalam, Ahmad, Nasrallah, Tarek M., El Zokm, Saad M., Fawzy, Ibrahim, Bayoumy, Abdelwahab N., Mohamed, Maha S., Elazab, Seham A., Elmesiry, Amal M., Rageh, Eman A., Moussa, Mai A., Elyasaki, Ahmed, Refaat, Sherif, Elhilasy, Ahmed M., El deeb, Ahmed M., Elshaitany, Walid, and Eltabiey, Ashraf

Published
2024
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46. Safety and efficacy of the Yamane technique for intraocular three-piece lens implantation in Egyptian patients diagnosed with Marfan syndrome: a retrospective study

Author

Elsalhy, Fathy Mohamed Abo Elftouh, Assaf, Ahmed Hassan Samir, Alshamarti, Sarah Abbas, Soliman, Noha Fawky, Khattab, Abdelrahman Ahmed Ali, Khalil, Mahmoud Mohammed Ahmed Ali, Morsy, Mahmoud Fawzy Zaky, Ibrahim, Ezzat Nabil Abbas, Abdul Hay, Ahmad Mohammad Salah Eldeen, and Abouzeid, Mohamed Sayed Taha

Published
2024
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50. Extracorporeal membrane oxygenation for tuberculosis-related acute respiratory distress syndrome: An international multicentre retrospective cohort study

Author

Ait Hssain, Ali, Petit, Matthieu, Wiest, Clemens, Simon, Laura, Al-Fares, Abdulrahman A., Hany, Ahmed, Garcia-Gomez, Dafna I., Besa, Santiago, Nseir, Saad, Guervilly, Christophe, Alqassem, Wael, Lesouhaitier, Mathieu, Chelaru, Adrian, Sin, Simon WC, Roncon-Albuquerque, Jr., Roberto, Giani, Marco, Lepper, Philipp M., Lavillegrand, Jean-Rémi, Park, Sunghoon, Schellongowski, Peter, Fawzy Hassan, Ibrahim, Combes, Alain, Sonneville, Romain, and Schmidt, Matthieu

Published
2024
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