Hepatitis C virus (HCV) infection in Egypt is the most serious health problem. Identifying HCV-positive persons at high risk of early complications can help prioritize treatment decisions. Recently, attention has been directed to non-invasive, accurate alternatives using serum biochemical markers. The transforming growth factor β 1/interleukins pathway plays an important role in the process of cell injury and inflammation. Thus, TGF-β1 and IL-17 were assessed in serum of chronic HCV patients with correlation to hepatic inflammatory and fibrotic status. The quantitative serum levels of TGF-β1 and IL-17 were analyzed among chronic hepatitis C (CHC) patients (n=75) and normal control (NC) subjects (n=15). Disease severity in patients was assessed using the Child-Pugh scores and METAVIR. Serum levels of TGF-β1 and IL-17 were significantly increased in HCV patients compared to control group. Furthermore, the levels of TGF-β1 and Il-17 were positively correlated to serum transaminases and alpha-fetoprotein and they were negatively correlated with serum albumin and platelets. Additionally, the serum levels of TGF-β1 and Il-17 were associated with inflammation grades and stages of liver fibrosis. TGF-β1 and IL-17 may be hopeful serum biomarkers concerned in the progression of liver inflammation and fibrosis accompanying chronic HCV infection. Therefore, they could be used in the future as targets for anti-fibrotic therapy of chronic HCV to ameliorate the disease progress.
Instead of the cloud, the Internet of things (IoT) activities are offloaded into fog computing to boost the quality of services (QoSs) needed by many applications. However, the availability of continuous computing resources on fog computing servers is one of the restrictions for IoT applications since transmitting the large amount of data generated using IoT devices would create network traffic and cause an increase in computational overhead. Therefore, task scheduling is the main problem that needs to be solved efficiently. This study proposes an energy-aware model using an enhanced arithmetic optimization algorithm (AOA) method called AOAM, which addresses fog computing's job scheduling problem to maximize users' QoSs by maximizing the makespan measure. In the proposed AOAM, we enhanced the conventional AOA searchability using the marine predators algorithm (MPA) search operators to address the diversity of the used solutions and local optimum problems. The proposed AOAM is validated using several parameters, including various clients, data centers, hosts, virtual machines, tasks, and standard evaluation measures, including the energy and makespan. The obtained results are compared with other state-of-the-art methods; it showed that AOAM is promising and solved task scheduling effectively compared with the other comparative methods.
Expensive aquafeed is a major problem in aquaculture, creating the need for a low-cost feed that provides ideal nutritional requirement to maximize growth performances. This study aims to formulate and evaluate two new optimized Zebrafish feeds (F1 and F2) using linear programming mathematical model, one of which incorporates two pigment rich fruit wastes (Pitaya peel and Roselle calyx) in the formulation. The model represents nutritional content and cost of each ingredient into linear equations, with the goal of finding ideal combination that satisfies the specific nutrient requirements. By systematically evaluating ingredient proportions, linear programming ensures that Zebrafish receives adequate nutrients at the lowest possible cost, making the feed development process more efficient and cost-effective. The novel feed formulations derived from the mathematical model were tested on the growth and pigmentation of Zebrafish in comparison to a commercial feed (control). Feed intake of F1 and F2 were generally found to be similar to the control feed, indicating the acceptability of the formulated feeds by the Zebrafish. Body weight and length of Zebrafish fed with F1 and F2 were comparable to Zebrafish fed with control feed (p > 0.05). Similarly, Zebrafish fed with F1 and F2 showed no significant differences in pigment intensity compared to Zebrafish fed with control feed (p > 0.05). The survival rate of fishes in all feeding groups were greater than 70 % with no significant differences (p > 0.05). Results obtained in this study illustrated the potential of mathematic linear programming and effectiveness of utilising pigment-rich fruit wastes in formulating an optimized economic aquafeed.