This work proposes an IoT-based Real-Time Decision Support System for Perishable Products. The proposed system collects data during the transportation process and will interfere in the case of failure. Three different simulation models corresponding to different configurations and mitigation plans are built. The simulation models consider decisions such as stopping transportation and rerouting shipments to minimize losses in case of failure. The three different supply chain simulation models are implemented through a case study that considers transporting a perishable fruit in the intercontinental United States. A financial and environmental analysis is conducted to show the benefits of the proposed system.

The number of cyber-attacks is increasing daily, and attackers are coming up with new ways to harm their target by disseminating viruses and other malware. With new inventions and technologies appearing daily, there is a chance that a system might be attacked and its weaknesses taken advantage of. Malware is distributed through Portable Document Format (PDF) files, among other methods. These files’ adaptability makes them a prime target for attackers who can quickly insert malware into PDF files. This study proposes a model based on the Fuzzy Unordered Rule Induction Algorithm (FURIA) to detect PDF malware. The proposed model outperforms currently used methods in terms of reducing error rates and increasing accuracy. Other models, such as Naïve Bayes (NB), Decision Tree (J48), Hoeffding Tree (HT), and Quadratic Discriminant Analysis (QDA), were compared to the proposed model. The accuracy achieved by the proposed model is 99.81%, with an error rate of 0.0022.

Hydrogen has universally been considered a reliable source of future clean energy. Its energy conversion, processing, transportation, and storage are techno-economically promising for sustainable energy. This study attempts to maximize the production of H₂ energy using nanocatalysts from waste aluminum chips, an abundant metal that is considered a potential storage tank of H₂ energy with high energy density. The present study indicates that the use of waste aluminum chips in the production of H₂ gas will be free of cost since the reaction by-product, Al₂O₃, is denser and can be sold at a higher price than the raw materials, which makes the production cost more efficient and feasible. The current framework investigates seven different copper oxide-based graphene nanocomposites that are synthesized by utilizing green methods and that are well-characterized in terms of their structural, morphological, and surface properties. Reduced graphene oxide (rGO) and multi-layer graphene (MLG) are used as graphene substrates for CuO and Cu₂O NPs, respectively. These graphene materials exhibited extraordinary catalytic activity, while their copper oxide composites exhibited a complete reaction with feasible techno-economic production. The results revealed that the H₂ production yield and rates increased twofold with the use of these nanocatalysts. The present study recommends the optimum reactor design considerations and reaction parameters that minimize water vaporization in the reaction and suggests practical solutions to quantify and separate it. Furthermore, the present study affords an economic feasibility approach to producing H₂ gas that is competitive and efficient. The cost of producing 1 kg of H₂ gas from waste aluminum chips is USD 6.70, which is both economically feasible and technically applicable. The unit cost of H₂ gas can be steeply reduced by building large-scale plants offering mass production. Finally, the predicted approach is applicable in large, medium, and small cities that can collect industrial waste aluminum in bulk to generate large-scale energy units.

Work–family conflict (WFC) is a worldwide and timeless dilemma that negatively and significantly impacts the performance of employees, families, and organizations. It intensifies when the career is engineering, the employee is female, and the job environment requires heavy-duty and field tasks. The present study investigates the WFC in an engineering environment for female engineers and studies many women-related issues in Yemen. Three questionnaires targeted 130 female engineer graduates, 60 senior engineers, and 20 female engineers’ husbands. The results indicated that marriage is strongly and negatively correlated to educational performance, job opportunities, and job continuity. The present study suggests that, in conservative societies, disruptions from family-to-work are more pronounced compared to work-to-family. Several external factors, including low stipends, economic downturns, and political crises, have a negative impact on job opportunities and job spillover. A significant finding revealed that the average wage of female engineers in Yemen is USD 145, which is 3.822 times lower than that of their male counterparts. The survey results indicated that only single female engineers, but not married female engineers, are currently employed in the industrial and construction sector. Most female engineering graduates are working in jobs unrelated to engineering. Employed females face balancing professional responsibilities, household tasks, and social commitments. Society needs to implement policies that alleviate the pressure on women’s work and promote and support dual-earning couples to enhance family income. The present study recommends organizations offer flexible work schedules, allow remote work options, and create a healthy work environment to address the work–family imbalance, particularly in male-dominated environments.