MSA Repository "MSAR"

MSAR University's Digital Repository is a documentation and digitization of all university outcomes that are of effective value in the scientific and academic community and reflects the university's image, work, and effective contribution to society Through MSAR Digital Repository, the university managed to collect, store, archive and publish digital content - including documents, audio files, images and data sets - all in a safe place. MSAR is one of the strongest University Digital Repositories in Egypt and documented in the DSPACE community with its latest versions.

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MSA Journals 135
A Full content for MSA university Faculties Journals
MSA University Academic Graduation Projects 1152
A Full content for msa university Distinguished Graduation Projects Yearbook
MSA University Academic Research 3812
MSA University Campus 2
Images for MSA University " sites - building - landscape "
RESEARCH & LANGUAGES CENTERS 18

Recent Submissions

Deep Learning-Based Classification of Anterior Pelvic Tilt Rehabilitation Exercises Using RGB Video and Pose Estimation
(Institute of Electrical and Electronics Engineers Inc., 2025-09-03) Abdulrahman Abdelrahim; Youssef Ahmed; Asmaa M. Al-Emrany; Mohamed Soliman Mohamed; Mohamed Labib Borham
Physical rehabilitation plays an important role in correcting imbalances in the skeletal system, such as anterior pelvic tilt (APT). APT is a medical condition that might become a trigger for developing lower back pain and abnormal posture. Traditional rehabilitation methods involve in-person supervision. The in-person supervision shrinks the scalability and imposes serious limitations on accessibility. This research describes a deep learning-based approach for classifying APT rehabilitation exercises using RGB videos. A custom dataset of over 1000 annotated videos was used to train models. Each video corresponding to one of five core exercises performed with the help of professional physiotherapists (about 150 videos per exercise including variations). Pose estimation was conducted using MediaPipe to extract 3D joint landmarks from each video frame. These pose sequences were fed into multiple deep learning architectures, including LSTM, Transformer, Conformer, Temporal Fusion Transformer (TFT), and CNN-LSTM with attention. The Transformer and TFT models achieved the highest accuracy (96.13%). This work lays the foundation for scalable, camera-based physiotherapy systems capable of delivering real-time feedback for home-based rehabilitation.
Service quality as a driver of customer satisfaction and purchase intentions: a mixed-methods longitudinal study of the Egyptian Post Ofce (2013–2023)
(Springer open, 2025-10-15) Yasser Halim; Karim Salem; Hazem Tawfk; Ahmed Maree
Purpose: This study examines the impact of service quality on customer satisfaction and purchase intention in the Egyptian Post Office. Design/methodology/approach: A mixed-method approach was employed, combining qualitative interviews with postal customers and industry experts and a quantitative survey of 334 customers. Time-series data from 2013 to 2023 were analyzed using dynamic ordinary least squares (DOLS) to examine long-term trends. Findings: Survey results confirmed that service quality significantly influences satisfaction (β = 0.736, p < 0.01) and purchase intention (β = 0.794, p < 0.01). DOLS estimates showed a 1% increase in postal service performance raised satisfaction by 0.68%, while inflation had a temporary negative effect. The consistency between qualitative, survey, and time-series findings supports strong triangulation. Originality/value: This study integrates SERVQUAL with longitudinal economic analysis, offering a novel, evidence-based perspective on how public service quality reforms influence consumer behavior over time. Practical implications: Policymakers are advised to enhance service reliability, invest in digital infrastructure (e.g., ATM expansion and mobile apps), and mitigate inflation’s adverse effects. Improving employee empathy and responsiveness is also essential to drive customer retention and loyalty.
Sustainable Biofuel Production from Agricultural By-Products: Citrus Peels and Pumpkin Seeds as Feedstocks for Bioethanol and Biodiesel
(University of Yuzuncu Yil, 2025-09-30) Riham Omar BAKR; Maryam Sameh FATHI; Maria Joseph ADEL; Boula Ghaly FOUAD; Rahma Gamal SAYED
Energy is fundamental to development, and in correlation with the rapid population growth, its demand is escalating. The issues associated with fossil fuels, their depletion, and negative environmental effects have led to the exploration of alternative energy sources. Biofuels such as biodiesel and bioethanol have emerged as promising, renewable, and environmentally friendly alternatives. This study explores the sustainable production of bioethanol from Citrus peels and biodiesel from Pumpkin seed oil, assessing their potential contributions to energy efficiency and societal benefits. Citrus peels, underwent acid hydrolysis (0.5% H₂SO₄, 2 h) to release fermentable sugars, followed by anaerobic fermentation using 10% (v/v) Saccharomyces cerevisiaea. The resulting bioethanol was confirmed through qualitative analysis via Jones reagent. GC-MS of the hydrodistilled Citrus peel revealed 90.53% limonene in Citrus oil Biodiesel was produced via transesterification of pumpkin seed oil with methanol and potassium hydroxide (KOH) catalyst. GC-MS identified 65.9% unsaturated fatty acids (linoleic and oleic acids dominant), with a 97.5% yield, 0.7% ash content, and calorific value of 39,586 kJ/kg, meeting ASTM/EN standards. The study highlights the potential of utilizing agricultural waste and by-products in biofuel production, contributing to a circular economy and reducing environmental impact. The study demonstrates the viability of Citrus peel waste and Pumpkin seed oil as feedstocks, reducing reliance on fossil fuels while valorizing agricultural by-products. Challenges in scaling production require further exploration to maximize societal and environmental benefits, particularly in resource-rich regions.
Circular RNAs orchestrating breast cancer hallmarks: bridging tumor biology and therapy resistance
(Springer Nature, 2025-10-13) Abdelhamid M. Abdelhamid; Mai Ahmed Shafei; Mariam Gamaleldin; Alaa Bassam Heikal; Wesam H. Khidr; Nabil Hazza Al-Saadi; Ganna Magdy Kandil; Mahmoud M. Omarn; Maha Alhelf
Breast cancer (BC) remains a leading cause of cancer-related mortality among women worldwide, with treatment resistance posing a significant clinical challenge. Circular RNAs (circRNAs), a class of non-coding RNAs, have gained increasing attention as key regulators of gene expression, influencing BC pathogenesis, progression, and therapeutic response. This review explores the mechanistic insights into circRNA functions in BC, focusing on their involvement in tumor proliferation, metabolic reprogramming, epithelial-mesenchymal transition (EMT), angiogenesis, metastasis, and apoptosis. Additionally, we highlight the crosstalk between circRNAs and microRNAs, emphasizing their potential as diagnostic and prognostic biomarkers. Beyond their roles in tumor biology, circRNAs are implicated in drug resistance, modulating responses to chemotherapy, targeted therapy, and endocrine treatment. Despite their promising applications, challenges remain, including the complexity of circRNA interactions, and the development of robust preclinical models. Addressing these challenges through interdisciplinary research integrating genomics, transcriptomics, and functional studies will pave the way for circRNA-based therapeutic strategies and personalized medicine approaches in BC management.
Electrifying waste: Lebanese olive cake as novel bioenergy substrate in microbial fuel cells
(Springer Science and Business Media B.V., 2025-10-14) Lama Fayad; Hoda Yusef; Ali Hammoud; Ranya Amer
The use of agro-industrial waste as a bioenergy source offers a viable approach for sustainable energy generation. The present study investigates the viability of Lebanese olive cake as an innovative carbon source for bioelectricity production in double-chamber microbial fuel cells (MFCs) using Streptomyces fimicarius A1, a lignocellulose-degrading actinobacterium isolated from dumpsite soil. Essential operational parameters, such as substrate concentration, inoculum amount, electrode shape, and concentrations of mediators and electron acceptors, were methodically tuned. The physicochemical characterization of olive cake, including its polyphenol, fiber, and metal content, underscored its abundant composition favorable for microbial metabolism. The research further investigated the impact of external resistance, internal resistance, biofilm development, MFC architecture (series vs. parallel), and fed-batch operation on system efficacy. The system was optimized using 10 g/L olive cake as the substrate, a 10% inoculum level, and cuboid-shaped electrodes. The cathodic chamber was supplied with potassium ferricyanide (0.05 M) as the electron acceptor, and methylene blue (300 µM) served as the redox mediator. Under fed-batch operation and various electrical configurations, the system demonstrated enhanced performance. The series-connected MFCs achieved a maximum voltage of 1509 mV, electric current of 0.19 mA, and power output of 286.71 mW, whereas the parallel configuration produced 757 mV, 0.38 mA, and 287.66 mW. These results provide significant insights into the integration of agro-waste management with renewable energy technologies in Lebanon and worldwide, underscore the efficiency of olive cake as a sustainable substrate and highlight the role of optimized biological, electrochemical, and operational parameters in improving MFC performance.