Research Title: The impact of entrepreneurial behavior on entrepreneurial human resources management: The mediating role of entrepreneurial orientation

Author: Shadi Mohammad Al-Tahat, Published Year: 2024

Problems and Perspectives in Management, Volume 22, Issue 1

Faculty: Business

Abstract: Entrepreneurial human resources management can establish competitive advantages by consistently fostering superior human resources contributions within companies. This is achieved through the development of skilled employees who are passionate about delivering quality products and services. This study sets out to explore the role of entrepreneurial orientation for small and medium-sized enterprises (SMEs), particularly the relationship between entrepreneurial behavior and entrepreneurial human resource management. An online questionnaire technique was used to meet the research objectives. The study sample consisted of 356 participants from human resource management departments from 30 SMEs in the Al-Hassan Industrial Estate (HIE) in northern Jordan. The structural equation modeling (SEM) was used to examine the data. The results displayed that entrepreneurial behavior positively and significantly impacts both entrepreneurial human resources management and entrepreneurial orientation. Additionally, entrepreneurial orientation positively impacts entrepreneurial human resources management. Entrepreneurial orientation partially mediates the relationship between entrepreneurial behavior and entrepreneurial human resources management. According to these findings, human resources management policies and practices influence the level of entrepreneurship within an organization

Keywords: entrepreneurial behavior, entrepreneurial human resources management, entrepreneurial orientation, SMEs

Research Title: Pesticides: An alarming detrimental to health and environment

Author: Balakumar Chandrasekarn, Published Year: 2024

Science of The Total Environment, 915

Faculty: Pharmacy

Abstract: Pesticides are chemical substances of natural or synthetic origin that are used to eradicate pests and insects. These are indispensable in the agricultural processes for better crop production. Pesticide use aims to promote crop yield and protect the crops from diseases and damage. Pesticides must be handled carefully and disposed of appropriately because they are dangerous to people and other species by default. Environmental pollution occurs when pesticide contamination spreads away from the intended plants. Older pesticides such as lindane and dichlorodiphenyltrichloroethane (DDT) may remain in water and soil for a longer time. These accumulate in various parts of the food chain and cause damage to the ecosystem. Biological techniques in the management of pest control such as importation, augmentation, and conservation, and the accompanying procedures are more efficient, less expensive, and ecologically sound than other ways. This review mainly focuses on the consequences on the targeted and non-targeted organisms including the health and well-being of humans by the use of pesticides and their toxicity. The side effects that occur when a pesticide's LD50 exceeds the accepted limit through oral or skin penetration due to their binding to various receptors such as estrogen receptors, GABA, EGFR, and others. These pesticide classes include carbamates, pyrethroids, organochlorides, organophosphorus, and others. The current study seeks to highlight the urgent requirement for a novel agricultural concept that includes a major reduction in the use of chemical pesticides.

Keywords: Pesticides; health; environment

Research Title: Big Data Analytics and AI for Green Supply Chain Integration and Sustainability in Hospitals

Author: Heba Mohammad Ahmad Hatamlah, Published Year: 2023

WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT, volume 19

Faculty: Business

Abstract: This paper examines how big data analytics and AI improve hospital supply chain sustainability. Hospitals are recognizing the need for eco-friendly operations due to environmental issues and rising healthcare needs. It analyzes data from 68 UK hospitals using a conceptual model and partial least squares regressionbased structural equation modeling. The research begins by examining hospital supply networks' environmental impact. Energy use, trash, and transportation emissions are major issues. It then explains how big data analytics and AI can transform these implications. This study prioritizes big data analytics for inventory management, demand forecasting, and procurement. Hospitals can reduce inventory, waste, and supply shortages using datadriven insights, saving money and the environment. AI also boosts hospital supply chain logistics and transportation efficiency, according to the study. Fuel consumption, carbon emissions, and delivery routes are optimized by AI. Predictive maintenance preserves medical equipment. In conclusion, hospital supply chains benefit greatly from big data analytics and AI. Hospitals can improve the healthcare business, reduce their environmental impact, and preserve resources for future generations. Healthcare leaders, politicians, and researchers seeking data-driven solutions for sustainable hospital supply chains gain valuable insights.

Keywords: Green supply chain, Sustainability in healthcare, Big data analytics, Artificial intelligence (AI), Hospital logistics, Environmental impact, Inventory management, Healthcare sustainability.

Research Title: Adolescents' online health information seeking: Trust, e-health literacy, parental influence, and AI-generated credibility

Author: Heba Mohammad Ahmad Hatamlah, Published Year: 2024

International Journal of Data and Network Science , Volume 8 Issue2

Faculty: Business

Abstract: Adolescents increasingly turn to online sources for health information, raising concerns about the credibility of information and its impact on their behaviors. This study explores the factors shaping adolescents' online health information seeking (OHIS) behaviors. The study surveyed 381 adolescents to assess trust in online health information, eHealth literacy, parental behaviors, and AI-generated credibility scores. Structural Equation Modeling (SEM) was used to analyze data and test hypotheses based on the Social Cognitive Theory. Trust in online health information positively influenced disease-related OHIS behaviors (β = 0.24, p < 0.05) and fitness-related OHIS behaviors (β = 0.18, p < 0.05). Higher eHealth literacy correlated with increased diseaserelated OHIS behaviors (β = 0.32, p < 0.05) and fitness-related OHIS behaviors (β = 0.28, p < 0.05). Parental OHIS behaviors influenced adolescents' disease-related OHIS behaviors (β = 0.16, p < 0.05) and fitness-related OHIS behaviors (β = 0.22, p < 0.05). Parental OHIS mediation positively mediated these relationships (H7, H8). Higher AI-generated credibility scores associated with more disease-related OHIS behaviors (β = 0.20, p < 0.05) and fitness-related OHIS behaviors (β = 0.15, p < 0.05). Adolescents' eHealth literacy mediated these relationships (H11, H12). Trust, eHealth literacy, parental influence, and AI-generated credibility play vital roles in shaping adolescents' OHIS behaviors. Educators should prioritize enhancing eHealth literacy and promoting credible online sources to improve adolescents' health information seeking practices. This study contributes insights into the factors influencing adolescents' OHIS behaviors, emphasizing the role of parental mediation and AI-generated credibility scores. The findings inform the development of targeted health education interventions to encourage responsible online health information seeking among adolescents.

Keywords: Information Trustworthiness Health Information Sources Adolescents' Information Behavior Healthcare Decision-making AI

Research Title: The behavior of strengthened RC beams under pure torsion using NSM-CFRP rope

Author: Ala Taleb Obaidat, Published Year: 2024

International Journal of Building Pathology and Adaptation, ,

Faculty: Engineering and Technology

Abstract: Abstract Purpose – The paper aims to introduces an experimentalwork to investigate the torsional behavior of reinforced concrete (RC) beams strengthened by near-surfacemounted (NSM) carbon fiber-reinforced polymer (CFRP) ropes. Design/methodology/approach – In this research, nine rectangular RC beams of 250 mm 3 300 mm cross section and 1,600 mm in length were constructed and tested considering the studied parameters. These parameters include the length of the CFRP rope, the orientation of the CFRP rope, the arrangement of longitudinal and the scheme of NSM-CFRP ropes. Findings – In comparison to control specimens, the results demonstrate a considerable improvement in the torsional response of RC beams strengthened with the CFRP rope. Additionally, specimens strengthened with 908 vertical ropes increase torsional moment capacity more efficiently than specimens strengthened with 458 inclined ropes since the stress concentration leads to premature debonding of the CFRP rope. Whereas RC beams’ ability to withstand torsional moments is reduced as the distance between reinforcing CFRP ropes is increased. According to test results, adding CFRP ropes to RC beams’ bottoms had a slightly positive impact on torsional response. Originality/value – This paper fulfills an identified need to study how the using of the CFRP rope is effective in strengthening RC beam subjected to torsion moment.

Keywords: Reinforced concrete beam, Angle of twist, Torsion, Strengthening, NSM-CFRP rope

Research Title: The behavior of strengthened RC beams under pure torsion using NSM-CFRP rope

Author: Ala Taleb Obaidat, Published Year: 2024

International Journal of Building Pathology and Adaptation, ,

Faculty: Engineering and Technology

Abstract: Abstract Purpose – The paper aims to introduces an experimentalwork to investigate the torsional behavior of reinforced concrete (RC) beams strengthened by near-surfacemounted (NSM) carbon fiber-reinforced polymer (CFRP) ropes. Design/methodology/approach – In this research, nine rectangular RC beams of 250 mm 3 300 mm cross section and 1,600 mm in length were constructed and tested considering the studied parameters. These parameters include the length of the CFRP rope, the orientation of the CFRP rope, the arrangement of longitudinal and the scheme of NSM-CFRP ropes. Findings – In comparison to control specimens, the results demonstrate a considerable improvement in the torsional response of RC beams strengthened with the CFRP rope. Additionally, specimens strengthened with 908 vertical ropes increase torsional moment capacity more efficiently than specimens strengthened with 458 inclined ropes since the stress concentration leads to premature debonding of the CFRP rope. Whereas RC beams’ ability to withstand torsional moments is reduced as the distance between reinforcing CFRP ropes is increased. According to test results, adding CFRP ropes to RC beams’ bottoms had a slightly positive impact on torsional response. Originality/value – This paper fulfills an identified need to study how the using of the CFRP rope is effective in strengthening RC beam subjected to torsion moment.

Keywords: Reinforced concrete beam, Angle of twist, Torsion, Strengthening, NSM-CFRP rope

Research Title: Development and Characterization of High-Energy Protein Bars with Enhanced Antioxidant, Chemical, Nutritional, Physical, and Sensory Properties

Author: Zaher Qassim Al-Bashabsheh, Published Year: 2024

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Faculty: Allied Medical Sciences

Abstract: Protein-rich energy bars are known as an excellent nutritional supplement for athletes that help to build and repair connective tissues. The study is, therefore, aimed at developing high-protein bars using lupine seeds, wheat germ, and selected dried fruits including raisins, dates, apricots, and cranberries. Different formulations (F1, F2, F3, and F4) were performed at different ratios of ingredients to produce high-protein bars and compared them with a control bar made of wheyprotein concentrate and oat flakes. For this purpose, a proximate analysis, total phenol content, total flavonoid content, DPPH radical scavenging activity, water content, nutritional, and sensory analysis was performed to evaluate the results. The proximate analysis of the produced protein bars showed a significantly higher protein content (22 ± 2) and total phenolic activity (57 ± 33) in formulation group 4 as compared to the other groups. Furthermore, the least water activity content was found in formulation group 1 (1 ± 0.0) when compared with the control group (1 ± 0.0). The results from the sensory evaluation revealed that T3 had the highest average scores in overall consumer acceptability. Our study found that total phenolic, flavonoid, and fiber content were significantly higher in the prepared protein bars indicating prospective health benefits when compared to the control group. Overall, the study demonstrates that high-protein bars using functional ingredients like dried fruit can provide enriched nutritionally valuable food options for consumers.

Keywords: protein bars; proximate analysis; DPPH; phenolic content; flavonoid content; sensory analysis

Research Title: Development and Characterization of High-Energy Protein Bars with Enhanced Antioxidant, Chemical, Nutritional, Physical, and Sensory Properties

Author: Hani Jameel Mohammad Hamad, Published Year: 2024

Faculty: Allied Medical Sciences

Abstract: Abstract: Protein-rich energy bars are known as an excellent nutritional supplement for athletes that help to build and repair connective tissues. The study is, therefore, aimed at developing high-protein bars using lupine seeds, wheat germ, and selected dried fruits including raisins, dates, apricots, and cranberries. Different formulations (F1, F2, F3, and F4) were performed at different ratios of ingredients to produce high-protein bars and compared them with a control bar made of wheyprotein concentrate and oat flakes. For this purpose, a proximate analysis, total phenol content, total flavonoid content, DPPH radical scavenging activity, water content, nutritional, and sensory analysis was performed to evaluate the results. The proximate analysis of the produced protein bars showed a significantly higher protein content (22 ± 2) and total phenolic activity (57 ± 33) in formulation group 4 as compared to the other groups. Furthermore, the least water activity content was found in formulation group 1 (1 ± 0.0) when compared with the control group (1 ± 0.0). The results from the sensory evaluation revealed that T3 had the highest average scores in overall consumer acceptability. Our study found that total phenolic, flavonoid, and fiber content were significantly higher in the prepared protein bars indicating prospective health benefits when compared to the control group. Overall, the study demonstrates that high-protein bars using functional ingredients like dried fruit can provide enriched nutritionally valuable food options for consumers.

Keywords: protein bars; proximate analysis; DPPH; phenolic content; flavonoid content; sensory analysis

Research Title: Design, Build, and Test of a Mobile Solar PV Generator

Author: Munzer Ebaid, Published Year: 2023

International Review of Mechanical Engineering, 17

Faculty: Engineering and Technology

Abstract: Solar PV system in Jordan holds a significant potential, and studies show that solar radiation levels ranging from 2 to 7 kWh/m2 and approximately 330 sunny days per year. One of the modified designs on photovoltaic systems is the off-grid mobile PV generator system, capable of producing an electric power output up to 2kWh/day and incorporating a storage battery system as a backup. The proposed system is compact, small and can be transferred to any location easily. The PV arrays mounted on the main body can be hydraulically opened and closed to save space, ensuring high mobility, easy of construction and operation within short time. This innovative system represents an intelligent solution for numerous locations requiring electrical power such as disaster areas like flood and earthquake zones, sparsely populated regions and camping places. Moreover, This project serves as an educational, practical, and training exercise on Mechanical Engineering principles for undergraduate students. It also constitutes a high-performance engineering project, enabling engineering students to acquire knowledge in solar PV systems, engineering skills, and the freedom to express their creativity and imaginations. Ultimately, this initiative aims to foster the development of experience, skills and professionalism, cultivating “hands on engineers", and potentially contributing to the enhancement of the automotive industry in Jordan. The research work in this paper encompasses the design, construction, and test of a 1kW mobile PV generator with results demonstrating alignment with the design system.

Keywords: Mobile PV generator, Off grid, storage batteries, smart solution.

Research Title: Numerical Analysis and Modelling of the Effectiveness of Micro Wind Turbines Installed in an Electric Vehicle as a Range Extender

Author: Munzer Ebaid, Published Year: 2023

ٍُِSAE International-Journal of Electrified Vehicles, 13 (2)

Faculty: Engineering and Technology

Abstract: In recent years, the number of electric vehicles (EVs) has grown rapidly, as well as public interest in them. However, the lack of sufficient range is one of the most common complaints about these vehicles, which is particularly problematic for people with long daily commutes. Thus, this article proposed a solution to this problem by installing micro wind turbines (MWTs) on EVs as a range extender. The turbines will generate electricity by converting the kinetic energy of the air flowing through the MWT into mechanical energy, which can have a reasonable effect on the vehicle aerodynamics. The article uses mathematical modelling and numerical analysis. Regarding the modelling, a detailed EV model in MATLAB/SIMULINK was developed to analyze the EV performance using various driving cycles in real time. In terms of numerical analysis, a detailed computational fluid dynamics (CFD) model has been implemented on a sample EV (Kia Soul) and an MWT using the Moving Reference Frame (MRF) method to act as a virtual wind tunnel in order to investigate the aerodynamic performance. The optimum location for the turbines to be installed has been identified on the front bumper of the car. The MWT has been designed from scratch using Qblade and Xfoil solvers by testing many foil sections and blade parameters to find the best design for the vehicle speed range. After using the designed turbine numerical results and implementing them into the EV model in MATLAB/SIMULINK, the results become more accurate. The vehicle efficiency increased by 13.1% at the Federal Test Procedure (FTP) highway driving cycle with five MWTs installed in the front bumper of the car, and its range increased by 24 km on a full charge; however, three MWTs have been studied in the CFD analysis to investigate the effect of the system on the vehicle drag coefficient, which is considered as the main trade-off of the proposed work. The analytical and numerical errors, points of strength, and weaknesses in each method and model have been determined to verify the enti

Keywords: Electric vehicles, Range extender, Micro wind turbine, Wind energy, Drag coefficient, Moving reference frame (MRF), CFD, Aerodynamics