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

Research Title: Optimization of ON-grid hybrid PV/wind system for a cement factory in Kuwait using HOMER pro software

Author: Firas Abdullah Obeidat, Published Year: 2024

International Journal of Low-Carbon Technologies, 19

Faculty: Engineering and Technology

Abstract: The reliance on a single energy source leads to many problems, i.e. cost and unsustainable operation. Hybrid renewable energy systems (include more than one energy source) has been effectively shown as a feasible choice to overcome these problems. The main purpose of this research is to carry out a techno-economic optimization to minimize the size of the system with lower cost and higher reliability. This proposed ON-grid hybrid PV/wind energy system is designed to supply the electrical power of a cement factory in Kuwait. To achieve this purpose, the Hybrid Optimization of Electric Energy (HOMER Pro) software was utilized to carry out the optimization process. The results of this study show that the cost of electricity energy generated by the hybrid PV/wind energy system is equal to $0.082/kWh which is much lower when compared to the conventional fuel power plants in Kuwait which is approximately $0.12/kWh.

Keywords: photovoltaic energy; wind energy; hybrid system; renewable energy; LCOE; optimization; HOMER

Research Title: Parallelism Phonological and Semantic in Lamaite AL-Ramadi Praise of Abi Ali AL-Qali

Author: Omar Faris Yousif AlKafaween, Published Year: 2023

مجلة جامعة الخليل للبحوث, مقبول للنشر

Faculty: Arts

Abstract: The study dealt with the phenomenon of phonetic and semantic parallelism in the poem of the poet Youssef bin Harun AL-Ramadi a lamaite, which he recited in praise of Abi Ali AL-Qali, about the poet's visions and emotions, adopting the descriptive approach integrated with stylistics, For their ability to investigate the types of parallelism in the poem, and to show its artistic and objective impact, and concluded that parallelism has an effective role in achieving a regular and varied internal and external rhythm in the poem, and is linked to its connotations, and its expression of the meanings of praise and pride.

Keywords: Phonetic Parallelism, Semantic Parallelism, Lamaite AL-Ramadi.