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.

Communities in DSpace

Select a community to browse its collections.

Now showing 1 - 5 of 6

MSA Journals 140
A Full content for MSA university Faculties Journals
MSA Theses 5
A digital collection of MSA University postgraduate theses, including PhD and Master’s theses, organized by academic degree and faculty.
MSA University Academic Graduation Projects 1153
A Full content for msa university Distinguished Graduation Projects Yearbook
MSA University Academic Research 3743
MSA University Campus 2
Images for MSA University " sites - building - landscape "

Recent Submissions

Calcium hydroxide nanoparticles-induced oxidative stress and mitochondrial impairment drive genomic instability and programmed cell death in colorectal cancer cells
(Springer Science and Business Media Deutschland GmbH, 2026-06-04) Hanan R. H. Mohamed; Rawan S. Hekal; Chahd W. H. Fahmy; Shahd O. Elhaggan,; Zeina Noure; Nada Ahmed; Ayman Diab; Gehan Safwat
The high aggressiveness, metastatic potential, and mortality of colorectal cancer, together with the limitations of conventional chemotherapy, highlight the urgent need for safer and more effective therapeutic alternatives. Nanotherapies offer promising advantages through improved bioavailability and tumor targeting. In particular, calcium hydroxide nanoparticles (Ca(OH)2NPs) possess unique physicochemical properties, yet their anticancer potential in colorectal cancer remains fully unexplored. This study was consequently undertaken to estimate the cytotoxic effects and underlying molecular mechanisms of Ca(OH)2NPs in human colorectal HCT-116 cancer cells, while also exploring their impact on the viability of normal human HFB4 melanocytes. Normal HFB4 and cancerous HCT-116 cells were exposed to serial two-fold concentrations of Ca(OH)2NPs ranging from 7.80 to 1000 mg/ml for 72 h, and cell viability was assessed using the MTT assay. Intracellular reactive oxygen species (ROS) generation and mitochondrial membrane potential were measured using 2′,7′-dichlorodihydrofluorescein diacetate (DCFH-DA) and rhodamine-123 staining, respectively. Genomic DNA damage was evaluated by the alkaline comet assay, whereas apoptosis induction was analyzed using DAPI staining and the chromatin diffusion assay. The expression levels of mitochondria- and apoptosis-related genes were quantified by quantitative real-time PCR (qRT-PCR). Results of the MTT assay demonstrated that Ca(OH)2NPs exerted significant, dose-dependent cytotoxicity on colorectal HCT-116 cancer cells, as evidenced by a markedly low IC50 value of 35.04 µg/ml and a substantial reduction in cell viability. In contrast, the viability of normal HFB4 melanocytes was only slightly affected, and only at the highest Ca(OH)2NPs concentration tested, as indicated by a comparatively high IC50 value of 190.80 µg/ml. The resulting selectivity index of 5.44 further supports the notable cytotoxicity of Ca(OH)2NPs toward HCT-116 colorectal cancer cells. Furthermore, treatment of HCT-116 cells with Ca(OH)2NPs at the IC50 concentration (35.04 µg/ml) led to a significant increase in intracellular ROS generation level, dramatic loss of mitochondrial membrane potential, and pronounced oxidative DNA damage, ultimately culminating in apoptotic cell death. qRT-PCR analysis also demonstrated significant downregulation of both the apoptotic p53 and the anti-apoptotic Bcl-2 gene expression, alongside significant upregulation of the mitochondrial ND3 gene expression. These molecular alterations support the involvement of mitochondrial dysfunction and apoptosis-related gene modulation in the observed Ca(OH)2NPs-induced cytotoxic effects. Conclusion: Ca(OH)2NPs demonstrate notable anticancer activity against human colorectal HCT-116 cancer cells, primarily through ROS-mediated oxidative stress, genomic DNA damage, mitochondrial dysfunction, and apoptosis induction. These findings highlight Ca(OH)2NPs as a potent nanotherapeutic candidate for colorectal cancer management. However, the current study was limited to in vitro experimental conditions, and the precise molecular mechanisms underlying these effects remain incompletely understood. Therefore, further mechanistic investigations, advanced in vitro and in vivo studies, and comprehensive biocompatibility and safety evaluations are required to validate their therapeutic potential and clinical applicability.
WGS reveals high-risk clones of Pseudomonas aeruginosa harbouring extensive antimicrobial and predicted anti-phage defense systems recovered from diabetic foot ulcer patients in Egypt
(BioMed Central Ltd, 2026-06-03) Mai A. Amer; Manal M. Darwish; Reham Monir; Ahmed Al Taweel; Ayat I. Ghanem; Ihab N. Hanna; Aya H. Hefnawy; Nada S. Gebreel; Noha M. Soltan; Yara H. Aboudewan; Samira M. Hamed
Diabetic foot ulcers (DFUs) are a major complication of diabetes mellitus and a leading cause of morbidity, amputation, and mortality among affected patients. In this study, five Pseudomonas aeruginosa isolates recovered from DFUs of diabetic patients in Egypt were investigated. Antimicrobial susceptibility was evaluated using the disc diffusion method and broth microdilution assay, while biofilm-forming ability was phenotypically assessed using the crystal violet assay. All isolates exhibited multidrug-resistant (MDR) phenotypes, with two isolates classified as pan-drug resistant (PDR). Moreover, all isolates demonstrated a strong capacity for biofilm formation. Whole-genome sequencing (WGS) and subsequent bioinformatic analysis revealed three sequence types, ST369, ST664, and ST773, corresponding to serotypes O6, O2, and O11, respectively, with ST664 and ST773 representing high-risk clones. These high-risk clones carried horizontally transferable integrative conjugative elements (ICEs) encoding metal resistance and anti-phage defense systems. The isolates also harboured a diverse resistome comprising blaNDM-1, blaPER-1, rmtB, qnrVC1, aac(3), ant(4')-IIb, aph(3')-VIb, sul1, tet(G), and cmlA9 in addition to biocide resistance genes (qacE, triABC). Colistin resistance in three isolates was associated with L71R pmrA mutation. Virulence profiling revealed a minimum of 230 genes associated with adhesion, biofilm formation, toxin production, and secretion systems. Notably, high-risk clones (ST773 and ST664) carried an extensive array of anti-phage defense systems, up to 32 per genome, potentially reducing the efficacy of bacteriophage-based therapeutic alternatives. Collectively, these findings highlight the remarkable genomic plasticity and adaptive resilience of P. aeruginosa in chronic diabetic wounds, emphasizing the urgent need for improved infection control practices, genomic surveillance, and the development of novel therapeutic strategies for effective DFU management. To our knowledge, this is the first genomic characterization of MDR P. aeruginosa isolates from DFUs in Egypt.
Deep Learning Approaches for Infant Activity Recognition: a Comparative Study of Sequence Models and Ensemble Learning Techniques
(Springer International Publishing AG, 2026-05-01) Sohaila Ashraf; May Beshir; Shimaa Abd EL-Rahim Abd El-Aty; Moamen Zaher; Marwa Solayman
Supporting healthy growth and cognitive development in infants necessitates accurate recognition and monitoring of developmental milestones during the first year of life. Effective monitoring plays a pivotal role in this process, enabling parents and caregivers to provide personalized support and promote overall well-being. Although Human Activity Recognition (HAR) has been extensively studied, the majority of research has primarily targeted adult populations, leaving infant-specific HAR under-explored. This research advances infant activity recognition through three major contributions: (1) enhancing an existing dataset under the supervision of a pediatric physiotherapist to ensure clinical relevance and accuracy, (2) conducting a comprehensive evaluation of different sequence deep learning models, and (3) investigating the efficacy of ensemble learning through four distinct strategies. Experimental results demonstrate that ensemble learning outperforms individual models, achieving a 4.87% improvement in recall over the best-performing baseline, CNN-LSTM, and a 5.31% improvement over the most stable model, Bi-LSTM. These findings offer promising implications for the design of intelligent infant monitoring systems aimed at early detection of developmental milestones and improved longitudinal assessment.
A comparative evaluation of machine translation vs. human translation for legal texts: A case study of translation between English and Arabic
(Faculty of Modern Languages and Literatures, Adam Mickiewicz University, 2025-09-19) Noureldin Mohamed ABDELAAL; Islam AL SAWI
This study examines the comparative accuracy and fluency of Neural Machine Translations (NMTs) and Language Model-based translations (LMBTs), represented by ChatGPT and Google Translate (GT), in legal texts translations. Texts from Farahaty's "Arabic-English-Arabic Legal Translation", sourced from primary texts cited in the book and translated by scholars such as Hatim, Shunnaq, Buckley, and Farahaty were used as benchmarks for human translation (HT). Sixteen diverse texts encompassing various legal discourse subgenres were selected for analysis, with all Arabic in-text examples transliterated using the Library of Congress (LOC) system. Qualitative analysis was conducted to assess the extent to which NMTs and LLMs match HT in accuracy and fluency. The study also investigated the similarities and differences between ChatGPT and GT in their translation outputs. Findings highlight HT's superiority in producing precise, stylistically appropriate translations, compared to the challenges faced by NMTs and LLMs in capturing legal terminology and subtle linguistic nuances. Despite variations, both ChatGPT and GT demonstrate efficiency and context sensitivity, suggesting their potential as valuable tools when coupled with human post-editing. The study concludes by advocating for a hybrid approach that leverages the strengths of automated translation systems and human expertise to enhance cross-linguistic legal communication.
Exchange Rate Policy, Transportation Costs, and Inflation Dynamics: Implications for Sustainable Economic Management in Egypt
(World Association for Sustainable Development, 2026-05-20) Karim Soliman; Bandar Altubaishe; Doaa Mohamed Salman
Purpose: This study focuses on determining the impact of exchange rate policy on transportation costs and inflation dynamics in Egypt, with implications on sustainable economic management. Design/methodology/approach: Using annual time-series data (2014-2023) from the Central Bank of Egypt, World Bank and International Monetary Fund (IMF), we use regression analysis techniques to estimate the effects of real interest rates, official exchange rates and exchange rate liberalisation on the Consumer Price Index for Transportation. Findings: Real interest rates significantly predict transportation costs (B=4.75, p<0.01). Exchange rate liberalisation has the biggest coefficient (beta=0.525) but it is not statistically significant, indicating the multicollinearity problem or low power. The official exchange rate does not matter a great deal. Descriptive statistics show high levels of volatility in all the indicators after devaluations. Originality/value: This study advances the literature by isolating transportation costs as a distinct exchange rate transmission mechanism in Egypt and examining its sustainability implications. Practical implications: Policy-makers should co-ordinate exchange rate flexibility with monetary policy, diversify energy inputs, and strengthen social safety nets. Research limitations: Small sample size and single-country focus limit generalisability.