Nowadays, using advanced structural materials such as preplaced aggregate concrete (PAC) and fiber-reinforced preplaced aggregate concrete (FR-PAC) are widely investigated due to their benefits in designing infrastructures. Therefore, finding the mechanical characteristics of PAC and FR-PAC can be help structural engineers. This study explores the material characteristics, performance, and potential challenges associated with using PAC and FR-PAC, aiming to provide insights into their practical implementation and long-term benefits in construction. In addition, a superior estimation tool based on multi-target stacked machine-learning (ML) model was introduced to reduce the cost of experimental tests and increase the accuracy and speed of finding the best mixture for PAC and FR-PAC. Experimental tests were conducted to prepare unseen dataset to validate the general ability of the ML models. Results show that the proposed multi-target stacked ML models can estimate the compressive and tensile strengths of PAC specimens with an accuracy of 97.4% and 94.7%, respectively; however, for compressive, flexural, and tensile strengths FR-PAC specimens, the accuracy of 97.7%, 98.0% and 98.3%, were determined, respectively. The proposed predictive model was turned into a graphical user interface (GUI) with ability on predicting the mechanical properties of PAC and FR-PAC in different curing day, and updating the database in future.

In Mobile Ad Hoc Network (MANET) the applications of a multimedia system like video, audio broadcasting needs the path at which the data transmit might be reliable, delay-sensitive, and energy-efficient one. In addition, the delivery of information in vehicular networks (VANETs) is regarded as a demanding one because of high mobility and invariable topological difference. An existing routing protocol of ad hoc network fail to function better in terms of QoS metrics like packet delivery ratio (PDR), delay and so on., where there are heavy traffic and high mobility. So as to overcome the existing drawbacks, the proposed technique is implemented. In the proposed mechanism, the system model is initialized, and the route discovery process is carried by sending a route request. The multipath decision making (MPDM) scheme is employed to ensure the best route availability and the probability of link failure. Once the multipath decision-making condition is satisfied, the route path is established, and the communication takes place based on QoS constraint. Fuzzy based link monitoring scheme is employed to check the probability of link failure. Finally, the performance analysis is carried, and the comparison is made for proposed and existing mechanisms to prove the efficiency of the proposed scheme.

Abstract Patients on hemodialysis face a higher risk of viral hepatitis due to factors like frequent blood transfusions, prolonged vascular access, and exposure to infected patients and equipment. These issues pose significant challenges for healthcare systems, especially in developing countries. This study aimed to assess the prevalence of HBV and HCV among hemodialysis patients in Zintan and Yefren, Libya. In this study, 87 serum specimens were collected from hemodialysis patients, 47 men and 40 women, between February and May 2024. The samples were tested for hepatitis B surface antigen (HBsAg) and HCV antibodies using ELISA. Results showed a low prevalence; HBsAg was positive in 1.14% (1 out of 87), and anti-HCV antibodies were also detected in 1.14% (1 out of 87). While the low prevalence suggests a reduced risk in these facilities, further research on demographic and clinical risk factors is needed. In conclusion, the prevalence of HBV and HCV among hemodialysis patients in this region is reassuringly low, indicating effective management practices. Keywords: Hepatitis B, Hepatitis C, Hemodialysis, Zintan, Yefren, Libya

This study investigates the innovative integration of Portland limestone cement (PLC) and date palm ash (DPA) in preplaced aggregate concrete (PAC) grouts, addressing the urgent need for sustainable construction materials with a lower carbon footprint. With the construction industry contributing significantly to global CO2 emissions, utilizing agricultural by-products like DPA offers an eco-friendly alternative while mitigating waste disposal challenges. The research evaluates single, binary, and ternary binders incorporating supplementary cementitious materials such as silica fume (SF) and metakaolin to optimize PAC's mechanical properties. Findings reveal that binary grouts with PLC and 10% SF achieved the highest compressive strength (68.3 MPa), outperforming traditional mixtures by 40%. Microstructural analysis confirmed that DPA enhances matrix density and reduces pore size, contributing to improved durability. Recommendations include further exploration of DPA's role in reducing cement content and promoting resource efficiency. The findings highlight PLC and DPA as viable components for greener construction, advancing PAC's potential as a sustainable concrete for structural applications.