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

  • Item type: Item ,
    Mapping mosquito flight dynamics and directional responses: A scalable deep learning model for behavioural research
    (Elsevier B.V., 2026-05-07) Manuela Carnaghi; Khaled Mostafa; Mohamed Hany; Ayman Atia
    Mosquitoes are important vectors of pathogens that affect millions of people worldwide. Understanding their flight patterns and behaviours is crucial for developing novel control and surveillance tools. Mosquito flight track analysis using traditional manual methods can be time-consuming and laborious. In this study, we employed advanced image processing and deep learning techniques, specifically using a GRU model, to analyse 2D video recordings of three medically important mosquito vector species. Videos were recorded in controlled laboratory settings using simple, low-tech equipment. Our model integrates background subtraction, YOLOv5 detection, and the DeepSORT matching strategy to detect and track mosquitoes with high accuracy, achieving detection rates between 99.7% and 99.9% depending on the mosquito species, effectively mitigating challenges posed by background noise, occlusions, and tracking labels inconsistencies. In addition, a Gated Recurrent Unit (GRU) model was employed to classify mosquito movement directions with ∼97.6% accuracy. The system also generates visual outputs, including heatmaps and videos that illustrate mosquito flight trajectories, facilitating the interpretation of mosquito behavioural responses under experimental conditions. These findings demonstrate that integrating computer vision with deep learning techniques provides an effective method for tracking mosquito flight paths, classifying movement patterns, and assessing behavioural responses. This approach offers a promising avenue for automating video analysis in mosquito research and may be adapted for studying other small flying insect species.
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    Facile Fabrication of Piezoelectric PVDF/Chitosan Blend Nanofibrous Membranes for Wound Dressing Applications
    (John Wiley and Sons Inc, 2026-05-14) Mona El-Hossainy; W. A. Khalil; Noha Mohamed; Basma Ekram
    The demand for polymer-based nanofibers has surged due to their outstanding properties, which are a promising alternative for healing wounds, especially when combined with both natural and synthetic polymers to overcome their individual limitations. Throughout this research, we fabricated polyvinylidene fluoride (PVDF) nanofibers blended with chitosan in a single step via the electrospinning technique, without dissolving the chitosan in acid and subsequently removing the acid, which is a common issue in the electrospinning of chitosan. Also, we investigated the effect of varying chitosan concentration (5, 10, and 15 wt.%) on the properties of electrospun nanofibers. Characterization revealed that incorporating chitosan significantly increased viscosity and conductivity, which subsequently promoted the formation of uniform, bead-free fibers. Fourier-transform infrared (FTIR) spectra confirmed an advancement of the electroactive β-phase content, indicating superior piezoelectric properties. The nanofibers also exhibited increased hydrophilicity, water uptake, and biodegradation, which are important features in wound healing applications. Mechanical testing showed marginal improvements at 15% Cs concentration in Young's modulus from 2.3 to 5.3 MPa and tensile strength from 0.35 to 0.7 MPa. Moreover, cytotoxicity assays demonstrated that chitosan incorporation significantly enhanced cell viability and proliferation.
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    An in vitro study to: evaluate and compare the surface roughness of a CAD/CAM hybrid ceramic “ Vita Enamic” and a newly introduced printable hybrid ceramic “ Flexcera”
    (Ain Shams University, Faculty of Dentistry, 2026-03-01) Faisal S Hamza; Mai H. Abdelrahman; Mohamed A Mokhtar
    Aim: evaluate and compare the surface roughness of a CAD/CAM hybrid ceramic “Vita Enamic” and a newly introduced printable hybrid ceramic “Flexcera”. Materials and methods: A total of twenty four square ceramic slices was prepared in a standardized manner; each specimen measured 1 mm thickness, 14 mm length, and 14 mm width. Specimens was divided in to two groups according to the material type; Group A: Vita Enamic and Group B: Flexcera n=12. All samples were subjected thermo-cycling for 5000 cycles at temperatures alternating between 5 and 55 °C. Specimens were tested using a contact surface roughness tester before and after thermocycling, evaluation parameter Ra values were expressed in microns. Statistical analysis was performed using Two-Way Analysis of Variance (ANOVA) was considered for analysing the effect on the outcome, Shapiro-Wilk test, using the built-in Shapiro test function, for normality (Shapiro and Wilk, 1965) and Levene’s test using the R “car” package (Fox and Stanford, 2019) to assess the homogeneity of variances in the dependent variable. Results: Flexcera showed consistently higher surface roughness compared to Vita Enamic, both before and after thermocycling. For both materials, surface roughness increased after thermocycling. Conclusion: 3D printed hybrid ceramic showed higher surface roughness values than the CAD/CAM milled hybrid ceramic. The 3D printable hybrid ceramic roughness value exceeded the acceptable quantitative threshold value, raising the risk of bacteria accumulation. thermocycling process appears to have a detrimental effect on the surface roughness of both materials, leading to increased roughness after the treatment.
  • Item type: Item ,
    Tourniquet Duration and Early Clinical and Biomarker Outcomes in Total Knee Arthroplasty: A Comparative Cohort Study
    (Multidisciplinary Digital Publishing Institute (MDPI), 2026-04-01) Nele Isabelle Pfeiffer; Jane Penelope Shaw; Alain Despont; Jelena Kummer; Rolf Spirig; Mai M. Abdelhafez; Emanuel Francis Liechti; Sandro Kohl; Frank Michael Klenke; Robert Rieben
    Background: Currently, the duration of tourniquet time in total knee arthroplasty is chosen by the surgeons and varies between 0 and 120 min. Studies evaluating the effect of tourniquet time in this surgery are heterogeneous, and there is limited information on molecular/complement profiling. The purpose of this study was, therefore, to determine whether the duration of tourniquet-induced limb ischemia during total knee arthroplasty influences reperfusion injury, resulting in pain, swelling, and the release of pro-inflammatory markers. Methods: In 40 patients undergoing total knee arthroplasty, a tourniquet was applied for up to 30 min (group A, short tourniquet) or 90–120 min (group B, long tourniquet). Postoperative pain and swelling served as primary outcome parameters. The levels of pro- and anti-inflammatory markers before surgery and 4 h, 24 h, and 48 h after surgery were used as secondary outcome parameters for exploratory testing. Results: There were no differences in numeric rating pain scale (NRS) scores and calf circumference between groups A and B. Patients in group B required patient-controlled intravenous analgesia more frequently than group A patients (47% versus 5%, group B vs. group A, p < 0.0001). In group B, a significantly higher increase in C3a and MIG levels between 4 h and 48 h, and a significantly higher increase for MIG and M-CSF between 24 h and 48 h, were observed. Conclusions: Tourniquet times between 90 and 120 min were not associated with higher pain levels or more swelling, but an increased need for intravenous analgesia and a higher increase in pro-inflammatory markers. This might be a consequence of a more pronounced ischemia/reperfusion injury with tourniquet times longer than 90 min.
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    Assessing maternal knowledge of neonatal danger signs in Egypt: a cross-sectional study
    (Nature Research, 2026-05-08) Esraa Abdellatif Hammouda; Marwa Abdelwahab Hassan; Nesma Abbas Hassan; Nayera Mohamed Abdelmoez; Amal M. Shouair; Rasha Ashmawy; Saddam Abdelazim; Mariam Zaghloul Mohamed Daowd; Hala S. M. Abdelmotogaly; Shrouq Sayed Abdelrazek; Asmaa Rohym; Abdelrahman Shawky Refaee; Rania Adel El-Morsy; Ramy Mohamed Ghazy
    Maternal knowledge regarding the neonatal danger signs (NDSs) plays a fundamental role in early detecting neonatal health conditions, decreasing untreated symptoms, and improving optimal infant development. This study aimed to determine the level of maternal knowledge about NDSs and identify associated socio-demographic factors among Egyptian mothers. A cross-sectional study was conducted in healthcare facilities through face-to-face interviews from January to March 2025. We included mothers older than 18 years with infants aged 1–24 months. Mothers were recruited through a multistage stratified sampling technique from nine Egyptian governments selected from all Egyptian geographical sectors. The Arabic Questionnaire to assess the Knowledge of Neonatal Danger Signs (AQ-KNDS) was used for assessing maternal knowledge with a score ranged from 1 to 16. Multiple linear regression model identified predictors of knowledge score. Of 1831 participating mothers representing 96.3% response rate, 31% were under 25, 97.3% were married, and 58.7% were living in urban areas. The median score of maternal knowledge was 14.0 (IQR: 13.0–16.0). 75.8% of mothers scored above 75.0%. Beheira governorate had the highest median knowledge score while New Valley had the lowest (15.0 (13.3–16.0) vs. 13.0 (12.0–14.0), P < 0.001). Higher-educated mothers had a significantly higher knowledge scores compared to lower education (median (IQR) 15.0 (13.0–16.0) vs. 14.0 (13.0–16.0), P = 0.006). The multivariable linear regression model predicted the higher knowledge score was due to living in rural areas (β = 0.44; 95% CI 0.23–0.66); P = 0.001), attending antenatal follow-ups (β = 0.53; 95%CI 0.30–0.76; P = 0.001), and seeking information from healthcare providers (β = 0.93; 95%CI 0.60–1.25; P = 0.001). These findings underscore the urgent need for targeted educational campaigns, particularly in underserved and remote areas. Strengthening antenatal services and leveraging trusted information sources could enhance early recognition of danger signs and timely medical intervention, ultimately contributing to reduced neonatal mortality rates in Egypt.