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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RESEARCH & LANGUAGES CENTERS 18

Recent Submissions

Hyaluronic acid versus enamel matrix derivative for periodontal regeneration in intrabony defects: a systematic review and meta-analysis
(Springer Nature, 2026-04-27) Abdulaziz Owayed; Latifah A. Alali; Ayoob I. Alsarraf; Ali Alkhashan; Ahmad Altourah; Abdulwahab Alkhamees; Yousef M. Alawadhi; Mohamed Farid; Fadhel F. Alshammari; Saif Haif
Periodontitis can lead to the formation of intrabony defects. Enamel matrix derivative (EMD) is a well-established biomaterial for regeneration. Currently, hyaluronic acid (HA) has emerged as a promising alternative with anti-inflammatory and osteoinductive properties. This meta-analysis compares the clinical efficacy of HA and EMD in the regenerative treatment of periodontal intrabony defects. In December 2025, we conducted a systematic search of PubMed, Scopus, Web of Science, and the Cochrane Library for randomized and non-randomized controlled trials directly comparing HA to EMD in patients with periodontitis and intrabony defects. The primary outcomes were clinical attachment level (CAL) and probing pocket depth (PPD). For the meta-analysis, we used R 4.5.0 with R Studio 2024.12.1 + 563. We included four studies with a total of 167 defects in 156 patients. There were no statistically significant differences between HA and EMD in CAL at 6 months (MD = 0.08 mm, 95% CI − 0.37; 0.54, P = 0.72), 12 months (MD = 0.51 mm, 95% CI − 0.08; 1.11, P = 0.09), or 18 months (MD = 0.53 mm, 95% CI − 0.17; 1.24, P = 0.14). Similarly, we found no significant differences in PPD at 6 months, although heterogeneity was high at longer follow-ups. HA showed a significant reduction in gingival recession (REC) at 12 months only with comparable findings at 6 and 18 months. Also, no differences were found in bleeding on probing (BOP). HA has comparable efficacy to EMD with similar improvement in CAL and PPD following regenerative surgery for intrabony defects over 6 to 18 months. However, our findings are limited by the small number of included studies and heterogeneity in treatment protocols. Future large-scale, standardized clinical trials with long-term follow-up are warranted.
Next-generation CD179a-CAR-T cells demonstrate potent and sustained anti-tumor activity in preclinical B-cell malignancies
(Springer Science and Business Media B.V., 2026-04-28) Hoda Mohamed Elessawey; Gehan Safwat; Rania Hassan Mohamed; Magdy M. Mohamed; Nashwa El-khazragy
Background: Chimeric Antigen Receptor (CAR) T-cell therapy has transformed the treatment landscape for B-cell malignancies, particularly in relapsed and refractory leukemia. However, conventional CAR constructs targeting CD19 or CD20 often result in off-tumor toxicity due to shared antigen expression on healthy B-cells. CD179a, a novel leukemia-associated antigen with limited expression on normal tissues, presents a promising alternative target for safer and more specific immunotherapy. Methods: A 5th-generation CAR construct targeting CD179a was engineered and transfected into human T-cells to assess its antileukemic efficacy. Functional characterization was performed using the JM1-VRL-10,423 B-cell leukemia cell line. Post-transfection, cytotoxic activity, apoptosis induction, gene expression, and tumor cell viability were quantified. To evaluate safety, CD179a-CAR T-cells were also co-cultured with normal human peripheral blood mononuclear cells (PBMCs). Additionally, the in vivo efficacy of CD179a-directed CAR T-cells was tested in a xenograft model of B-cell leukemia, using mice transplanted with CD179a+ tumor cells. Results: In vitro, CD179a-targeted CAR T-cells demonstrated potent cytotoxicity, reducing leukemia cell viability to 44.22% after 72 h, superior to both CD3/CD28-activated T-cells and 5-Fluorouracil (5-FU). Apoptosis assays confirmed early apoptotic induction in 54.3% of leukemia cells. Importantly, negligible cytotoxic effects were observed in PBMCs, indicating selective targeting. In the xenograft model, CD179a-CAR T-cells significantly reduced the expression of CD179a in leukemic cells compared to controls. Gene expression profiling further validated apoptosis pathway activation. Conclusion: These findings highlight the promising antileukemic potential of CD179a-directed CAR T-cells, combining high specificity with a favorable safety profile. This in vitro and in vivo study supports the advancement of CD179a-CAR T-cell therapy as a next-generation immunotherapeutic strategy for B-cell leukemias, warranting further preclinical and clinical development.
Artificial Intelligence in Periodontology and Implantology: A Narrative Review
(October University for Modern Sciences and Arts MSA , Faculty of Dentistry, 2026-04-28) Lubna Ahmad Amro
Artificial intelligence (AI) has become an influential tool in periodontology and implantology; enhancing diagnostic & prognostic accuracy, supporting digital workflows, and improving clinical decision-making. Artificial intelligence is reshaping how clinicians assess, plan, and execute treatments. To provide a comprehensive and clinically relevant overview of current AI applications in periodontology and implantology, evaluate their benefits ,limitations, and possible future directions .This narrative review synthesizes findings from 111 studies including; recent human studies, systematic reviews, and clinical trials exploring technology-driven research exploring AI in diagnostic imaging, periodontal risk prediction, digital implant planning, surgical navigation/robotics, regenerative decision-making, and natural language processing tools. AI demonstrates high diagnostic performance in radiographic interpretation, with reported accuracies ranging from approximately 76% to over 90% depending on tooth type, dataset characteristics, and model architecture. Deep learning models have shown performance comparable to experienced clinicians in controlled experimental settings, particularly in retrospective radiographic datasets. Machine-learning risk assessment models offer personalized predictions for disease progression and implant complications contributing positively to patient centered care. In implantology, AI supports CBCT segmentation, implant position optimization, enhances accuracy through navigation and provides robotic assistance. Emerging applications include automated gingival phenotype assessment, outcome prediction for regenerative procedures, and natural language processing to assess patient/clinician notes. Limitations include dataset bias, lack of external validation, inconsistent reporting standards, and ethical concerns related to transparency and clinical accountability. AI is rapidly advancing across periodontal and implant disciplines, showing potential to improve diagnostic consistency and treatment planning. However, current evidence remains heterogeneous and is largely derived from retrospective or preclinical studies, limiting immediate clinical translation. Further prospective, multicenter validation studies are required before routine clinical implementation.
Valorization of Ulva fasciata biowaste incorporated in PVA nanofibers and films membranes: Box-Behnken optimization toward advanced wastewater treatment and blue economy applications
(Springer Science and Business Media Deutschland GmbH, 2026-03-24) Shimaa Husien; Waleed I. M. El-azab; Hager R. Ali; Nour Sh. El-Gendy; Wael Mamdouh
The removal of low-concentration pollutants from wastewater remains a major challenge in advanced treatment processes, where conventional wastewater treatment methods often underperform due to limited mass transfer and weak interaction kinetics. In this study, a novel bio-based membrane system was developed using polyvinyl alcohol (PVA) and Ulva fasciata bioethanol byproduct extract (UFBE), a waste-derived material rich in antimicrobial ulvan. Dual-format membranes, comprising nanofibers and films, were fabricated through green electrospinning and solvent-casting techniques using water-based systems. Box-Behnken response surface methodology was employed to optimize the electrospinning parameters for minimized fiber diameter and morphological uniformity. Characterization analyses (SEM, SEM-EDX, FTIR, TGA, XRD, BET, tensile strength, swelling, and solubility tests) confirmed the successful integration of UFBE and improvements in thermal and mechanical properties. The membranes were applied to aged oilfield wastewater representing a low-pollutant treatment challenge. Despite reduced contaminant levels, the membranes achieved nearly 100% oil removal, an 82% reduction in turbidity, and substantial declines in hardness and scaling potential. These findings underscore the membrane’s sensitivity, selectivity, and suitability for tertiary treatment applications. This work presents a foundational approach to developing multifunctional, sustainable membranes from algal waste, offering new opportunities for bio-derived materials in environmental remediation.
The impact of online store specifications on enhancing the attractiveness of customer perception of the product: An analytical study of the opinions of a sample of Iraqi virtual store customers
(F1000 Research Ltd, 2026-04-30) Sadia Awid Awni; Ahmed Abbas Hammadi; Imad Ali Mahmood Al-halboosi; Hisham Jadallah Mansour Shakaterh; Doaa Salman; Ayat Muhammad Nabil Wahib Ababneh; Andriy Stavytskyy; Farouq Ahmad Faleh Alazzam; Rafat Hisham Shakaterh
The research aims to explain the role of the specifications of some Iraqi electronic stores in enhancing the attractiveness of the customer’s perception of the product, as the recent literature that dealt with the research variables recorded good results that enhance the goal of the research, but there is still a lot to investigate and learn about, especially in an environment that differs from the environments of previous literature, and I follow The research used a descriptive analytical approach. The research community was represented by all customers dealing with electronic stores in Baghdad Governorate. The research sample included (350) customers for the period from 1-3-2023 to 1-7-2023. In order to analyze the data, several statistical methods were used: During the (Smart Pls.4) program, the research reached several results, the most important of which is the existence of a correlation and influence of the specifications of the online store in enhancing the attractiveness of the customer’s perception of the product.