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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Recent Submissions

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    Explainable Hybrid Intelligence for Autonomous Cyber Defense: Adaptive Intrusion Detection and Real-time Firewall Enforcement Using Reinforcement Learning
    (Intelligent Network and Systems Society, 2026-08-12) Magi Hossameldin Mahfouz; Raghda Essam Ali; Ayat Mahmoud
    Conventional rule-based firewalls rely on static signatures, limiting adaptability to unseen attacks, while AI-enabled commercial tools remain proprietary and lack transparency. This paper presents Net-Knight, an explainable hybrid intelligence framework integrating supervised intrusion detection, unsupervised anomaly detection, reinforcement learning (RL)-based mitigation, and Linux nftables enforcement. A LightGBM classifier trained on 22 engineered NetFlow features from NF-UQ-NIDS-v2 performs intrusion detection, while an autoencoder ensemble supplies complementary anomaly evidence. These signals form a 28-dimensional state used by a MaskablePPO agent to select among five mitigation actions. The IDS achieves 96.82 accuracy and a 0.9681 macro F1-score across nine classes; the RL agent attains a 96.9 rule-match rate; and the integrated decision pipeline reaches 96.3 end-to-end decision accuracy at 8.7ms mean processing latency in the controlled evaluation. A proposed Hierarchical Confusion-Aware Disambiguation (HCAD) extension is evaluated separately through Monte Carlo sensitivity analysis; its projected gains are not treated as experimentally measured performance.
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    Dietary elimination of gluten attenuates amyloid-β and tau pathology in Alzheimer’s diseaselike in aluminum chloride-induced rats: an experimental animal study
    (Nature Research, 2026-10-16) Ghada Abdelaziz; Abdel-Rahman B.Abdel-Ghaffar; Dina Amr; Ahmed Mohamed Kamal Nada; Refaat M.Gabre
    This study evaluates the comparative neuroprotective efficacy of a multi-component dietary pattern (the Mediterranean-DASH Intervention for Neurodegenerative Delay) versus a single-component elimination strategy (gluten-free diet) in an AlCl₃-induced rat model of Alzheimer’s disease. Sprague–Dawley rats were randomly divided into six groups (n = 6 each) and fed a balanced diet, the MIND diet, or a gluten-free diet, with or without AlCl₃ (100 mg/kg/day) administered orally for 8 weeks. AlCl₃ administration significantly elevated Aβ, total tau, and p-Tau S231 compared to non-induced controls (P < 0.001 for all AD effects). Conversely, all three diets differed significantly from one another for total tau and p-Tau S231 (P < 0.05 for all comparisons). Under AD-inducing conditions, the MIND diet significantly reduced cortical Aβ and total tau by 41.9% and 22.7%, while the gluten-free diet significantly reduced them by 50.3% and 41.6%, relative to the AD disease-control group (all P < .001). Histopathologically, both diets preserved cortical and hippocampal architecture, but behaviorally, diet showed no significant effect on the novel object recognition discrimination index (P = 0.092). Both the MIND and gluten-free diets successfully attenuated Aβ accumulation, tau pathology, and neurodegeneration in AlCl₃-induced AD models, with the gluten-free diet yielding greater numerical reductions.
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    Tissue-based PEG10 expression as an exploratory biomarker associated with first-line R-CHOP treatment outcome in diffuse large B-cell lymphoma
    (Taylor and Francis Ltd., 2026-10-06) Dina I. Hemdan; Salwa Sabet; Lobna Ezz El-Arab; Mohamed Alorabi; Haidan M. El-Shorbagy; Nashwa El-Khazragy
    Aim: Diffuse large B-cell lymphoma (DLBCL) is an aggressive lymphoma, and 30-40% of patients develop primary resistance to first-line rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP). This study evaluated tissue paternally expressed gene 10 (PEG10) expression as a biomarker of R-CHOP resistance. Patients and methods: Retrospective observational cohort study utilizes formalin-fixed, paraffin-embedded lymph node tissues from 70 patients with DLBCL, 30 with indolent B-cell lymphoma, and 20 normal controls. PEG10 transcript expression was measured by quantitative real-time PCR and protein expression by immunohistochemistry. Associations with clinicopathological characteristics, prognostic indices, and treatment response were assessed using multivariable logistic regression. Results: PEG10 transcript expression was higher in DLBCL than in indolent lymphoma and normal tissues. Elevated PEG10 expression was associated with advanced stage, poor ECOG performance status, higher International Prognostic Index scores, and R-CHOP resistance. Immunohistochemistry confirmed increased PEG10 protein expression in resistant tumors. PEG10 was not independently associated with resistance after adjustment (p = 0.163), whereas Ann Arbor stage remained independently associated (p = 0.042). Conclusion: Tissue PEG10 overexpression is associated with adverse clinicopathological features and unfavorable R-CHOP response and may serve as an exploratory complementary tissue-based biomarker in DLBCL. These findings require validation in larger prospective multicenter cohorts before clinical implementation in practice.
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    Liraglutide as a Novel Strategy for Improving Metabolic and Hormonal Profiles in Obese Women with Polycystic Ovary Syndrome
    (Springer, 2027-01-06) Sara Medhat Georgy; Nada Farag Elnaidany; Nora A Abdelmoneum; Sara Abdallah Mohamed Salem; Heba F. Salem; Rania M. Sarhan
    Purpose: This study aimed to investigate the effect of liraglutide and metformin as monotherapies on the hormonal, metabolic and clinical parameters of Poly Cystic Ovary Syndrome (PCOS). Participants were assigned to receive either Liraglutide (gradually titrated up to 3.0 mg/day as tolerated), Metformin (1000 mg/day), or standard lifestyle modification as a control group for 6 months. Methods: A randomized, parallel, clinical trial was conducted on 150 patients (50 per group) who completed the study, out of 183 initially randomized patients diagnosed with PCOS. Results: Out of 183 randomized patients, 150 completed the 24-week protocol (n = 50 per group). Most baseline characteristics were comparable across groups. Following 24 weeks of treatment, baseline-adjusted linear regression demonstrated that liraglutide induced significantly greater weight reduction compared to control (adjusted mean difference: -10.13 kg, FDR-adjusted p < 0.001). Furthermore, liraglutide yielded substantial improvements in insulin resistance, as evidenced by a significantly lower HOMA-IR compared to control (adjusted mean difference: -0.58, FDR-adjusted p < 0.001). Menstrual cycle regularity markedly improved in the liraglutide group (76.0%) compared to metformin (50.0%) and control (32.0%) (p < 0.001). Clinical pregnancy rates were 29.0% Control, 65.7% Liraglutide, 52.9% Metformin; overall between-group difference remained significant after FDR correction (χ²=9.026, FDR-adjusted p=0.044). Nausea, heartburn, and constipation were more frequent with liraglutide than metformin. Conclusion: Liraglutide is significantly more effective than metformin in improving body weight, glycemic control, and menstrual frequency in women with PCOS and metabolic dysfunction. These findings support liraglutide as a primary therapeutic approach, particularly in obesity-associated PCOS. It was registered at ClinicalTrials.gov under the identifier NCT05965908, registered on July 20, 2023.
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    Biofilm-Mediated Bacterial Sorption onto Microplastics in Water: Mechanistic Pathways, Plastisphere Formation, and Implications for Disinfection Performance
    (Springer Nature, 2026-10-16) Kassim Chabi; Jinjin Fu; Mahmoud Gad; Xinyan Xiao; Nashwa Hamido; Fidèle Suanon; Daouda Mama; Lei Wang; Xin Yu
    Microplastic-associated biofilms represent emerging interfaces for microbial attachment, persistence, and transport in aquatic environments, yet the mechanisms governing bacterial sorption onto microplastics and their implications for water treatment remain insufficiently resolved. This study investigated bacterial colonization, sorption behavior, plastisphere assembly, and disinfection interference associated with microplastics in water using high-throughput 16S rRNA sequencing, scanning electron microscopy, Fourier-transform infrared spectroscopy, Brunauer–Emmett–Teller surface analysis, confocal laser scanning microscopy, flow cytometry, and chlorine disinfection assays. Microplastics recovered from raw surface water showed pronounced surface modification and altered functional groups. Biofilm formation and extracellular polymeric substances were clearly observed on microplastic surfaces after exposure to water. The maximum thickness of the bottom biofilm layer in contact with the microplastics reached 43.4 μm, whereas the upper biofilm layer reached 19.53 μm. Sequencing analysis indicated that microplastics altered bacterial community structure and supported distinct plastisphere assemblages compared with the surrounding water phase. Adsorption and desorption assays demonstrated that bacteria could attach and detach from microplastics. The maximum numbers of Escherichia-Shigella attached to and detached from microplastics were approximately 4 × 105 CFU/mL and 2 × 10⁶ CFU/mL, respectively. Notably, the presence of microplastics reduced the effectiveness of chlorine disinfection against Escherichia-Shigella, suggesting that microplastic-associated bacteria may be partially protected from oxidative inactivation. These findings demonstrate that microplastics are not merely passive particles in water but dynamic microbial carriers that can influence bacterial persistence, community assembly, and treatment efficiency. The results highlight the need to incorporate microplastic-biofilm interactions into water-quality assessment and disinfection-risk frameworks.