Research Title: Evaluating the Quality and Utilization of Digital Features of Jordanian Private Hospitals Websites

Author: Heba Mohammad Ahmad Hatamlah, Published Year: 2024

Journal of System and Management Sciences, Vol. 14 (2024) No. 1

Faculty: Business

Abstract: This study evaluated the content and features of 34 active websites of private hospitals in Jordan using a comprehensive 99-item checklist covering technical aspects, services, external activities, and COVID-19 sections. Three evaluators independently coded the websites in August 2021. Results showed an average score of 38?ross the hospitals, indicating major room for improvement. Technical characteristics and social media engagement scored higher than other categories like medical services and COVID-19. The websites are still predominantly used as information repositories rather than channels for interaction. This suggests website quality and utilization remains relatively low and ineffective among Jordanian hospitals. Administrators must regularly update content to boost patient communication and trust.

Keywords: Websites quality, Websites evaluation, Digital features, Evaluation instrument, Web design, Hospitals, Jordan

Research Title: Implementing Health Information Systems in Jordanian Healthcare: A Scoping Review of Opportunities, Challenges, and Key Factors

Author: Heba Mohammad Ahmad Hatamlah, Published Year: 2024

Journal of Logistics, Informatics and Service Science, Vol. 11 (2024) No. 1

Faculty: Business

Abstract: This paper presents a literature review on the implementation and impact of health information systems (HIS) in the Jordanian healthcare industry. The review aims to synthesize the existing knowledge on the opportunities, challenges, and key factors influencing the adoption and success of HIS in Jordan. A total of 20 studies published between 2006 and 2021 were included in the review, covering various aspects such as electronic health records, enterprise resource planning systems, and predictive analytics. The findings highlight the potential benefits of HIS in improving healthcare quality, efficiency, and staff performance. However, the review also identifies several challenges, including infrastructure limitations, financial constraints, and the need for adequate training and support. The paper discusses the methodological approaches used in the reviewed studies and provides recommendations for future research and practice. Despite the growing recognition of the importance of HIS in Jordan, there is a need for more comprehensive and rigorous evaluations of their implementation and impacts to guide policy and decision-making in this field.

Keywords: healthcare, health information system, Jordan, organizations, research, health data monitoring, Jordanian healthcare system, population-based systems, health data administration, electronic records, ERP systems

Research Title: Microwave-Assisted Synthesis of Morpholine-Based Chalcones as Reversible MAO-A Inhibitors in the Management of Mental Depression

Author: Balakumar Chandrasekarn, Published Year: 2025

Pharmaceuticals, 18

Faculty: Pharmacy

Abstract: Background: Depression is one of the most serious and common health problems among the youth population and is responsible for the initiation of many diseases. As per the World Health Organization, 3.8% of the population suffers from mental depression, globally. The monoamine oxidase-A (MAO-A) enzyme is responsible for the degradation of neurotransmitters leading to lower levels of neurotransmitters. Methods: Chalcones (C1-C15) were synthesized by reacting substituted acetophenone with various benzaldehydes in a basic ethanolic solvent at 80 °C under microwave irradiation conditions. To compare the reaction time and product yield, a conventional method of synthesis of chalcones was also performed. The synthesized chalcones (C1-C15) were spectroscopically characterized and screened initially for inhibitory activities against MAO-A and MAO-B. The best active compounds were undertaken for IC50 determination against MAO-A enzyme followed by the reversibility of inhibition analysis and the antioxidant assay. Moreover, in silico molecular docking and ADME pharmacokinetic investigations were accomplished. Results: Most of the compounds inhibited MAO-A, specifically, compounds C14 and C6 exhibited the highest inhibition at IC50 values of 7.91 ± 0.08 μM and 8.45 ± 0.19 μM, respectively. Both these compounds exhibited a reversible MAO-A inhibition displaying up to 60% recovery of enzymatic activity when diluted with substrate (Tyramine). The results of the in silico study indicated docking scores of −9.56 Kcal/mol (C14) and −9.45 Kcal/mol (C6) and exhibited a π-π stacking interaction with the crucial amino acid Trp-397. The compounds were determined to cross the blood–brain barrier (BBB) and displayed favorable gastrointestinal (GI) absorption. Further, the antioxidant assay results demonstrated that the synthesized compounds possess modest free radical scavenging potential. Conclusions: This study displayed the MAO-A inhibitory potential of morpholine-substituted chalcones as a promising pharmacophore for the development of novel antidepressant lead compounds.

Keywords: depression; neurotransmitters; in silico; monoamine oxidase; mental health; hMAO-A

Research Title: Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples

Author: Eman Ali Nazmi Alseidi, Published Year: 2024

computers, 13

Faculty: Information Technology

Abstract: The presence of aflatoxin M1 in breast milk poses a serious risk to the health of infants because of its potential to cause cancer and have negative effects on development. Detecting AFM1 in milk samples using conventional methods is often time-consuming and may not provide real-time monitoring capabilities. The use of machine learning techniques to forecast aflatoxin M1 levels in breast milk samples is examined in this study. To develop predictive models of aflatoxin M1 in breast milk, we employed well-known supervised machine learning algorithms such as Random Forest and Gradient Boosting. The findings show that machine learning can be used for the identification of aflatoxin M1 in breast milk. By actively monitoring breast quality, this research highlights the significance of machine learning in protecting babies’ health and advances the prediction skills in food safety.

Keywords: : breast milk; aflatoxin M1; food safety; machine learning

Research Title: Factors driving digital transformation: Technological, organizational, and environmental perspectives from Jordanian banks”

Author: Mohammad Oqlah Al-Smadi, Published Year: 2025

Banks and Bank Systems, 20

Faculty: Business

Abstract: In recent years, the digital transformation of financial institutions has gained the attention of researchers and practitioners all over the world. This study investigates the impact of organizational, environmental, and technological factors on the digital transformation process of Jordanian banks. The approach used in this study is quantitative, and an online questionnaire was forwarded to employees in 15 Jordanian banks. The convenience sampling method was utilized to collect data from 286 participants with a response rate of 35%. Partial least squares structural equation modeling was used for analysis. The results show a significant positive relationship between organizational, environmental, and technological factors and digital transformation, which confirmed the imperative role of organizational, technological, and environmental factors in the digital transition process in Jordanian banks. The results highlight the need for Jordanian banks to develop explicit strategies that involve the integration of new technologies, regulatory frameworks that encourage modern technology adoption, and dealing with different environmental factors. The study thus proposes recommendations for Jordanian banks to achieve maximum benefit from digital transformation and manage the difficulties arising from this transformation in the changing banking sector.

Keywords: digital transformation, technological factors, organizational factors, environmental factors, banking sector

Research Title: Developing an algorithm for the adaptive neural network for direct online speed control of the three-phase induction motor

Author: Ahmad Jobran Al-Mahasneh, Published Year: 2025

International Journal of Electrical and Computer Engineering (IJECE), 15

Faculty: Engineering and Technology

Abstract: In this paper, an online adaptive general regression neural network (OAGRNN) is presented as a direct online speed controller for a three-phase induction motor. To keep the induction motor running at its rated speed in real-time and under a variety of load conditions, the speed error and its derivative are continuously measured and fed back to the OAGRNN controller. The OAGRNN controller provides the inverter with the control signal it needs to produce the proper frequency and voltage for the induction motor instantly. Notably, the OAGRNN controller demonstrated remarkable performance without the need for a learning mode; it was able to track the desired motor speed, starting its operation from scratch. A setup utilizing a three-phase induction motor has been developed to show the high capacity of OAGRNN for tracking the desired speed of the motor while subjected to the varied load torque. The performance of OAGRNN is examined in two phases: the MATLAB simulation and the experimental setup. Furthermore, when the OAGRNN performance is compared with that of the proportional integral (PI) controller, it demonstrates its outstanding ability and superiority for online adjustments related to the three-phase induction motor's speed control.

Keywords: Adaptive neural control, General regression neural network, Induction motor Proportional, integral derivative control Speed control

Research Title: Wuhan ou la Naissance de la Covid 19 (2022) de Mohammed Becha: Un Document sur cette Pandémie et une Histoire d’amour †

Author: Mohammad Al-Ghazu, Published Year: 2025

Jordan Journal of Modern Languages and Literatures, Vol.16, No. 4

Faculty: Arts

Abstract: Résumé L’étude présente vise à souligner la double valeur du roman de Mohammed Becha, Wuhan ou la naissance de la Covid 19, en tant que document sérieux sur la pandémie du Covid-19, par sa référence aux informations scientifiques et histoire d’amour marquée à chaque pas par le poids lourd de cette pandémie. Elle souligne par conséquent l’interdépendance du réel et de l’imaginaire et le rôle de cet imaginaire dans l’animation du tableau réel d’une pandémie qui a actuellement un peu reculé mais qui perdure encore. Nous avons ainsi répondu aux questions suivantes : quelle est la valeur documentaire de ce roman sur la pandémie de Covid 19 ? Quelle est la part de l’imaginaire littéraire dans ce même roman qui, en réécrivant l’histoire documentée de cette pandémie, a narré en réalité une histoire d’amour placée sous le signe même de cette pandémie ?

Keywords: Covid-19, Pandémie, Imaginaire littéraire, Becha, Littérature francophone.

Research Title: Impact of Loads and Photovoltaic Uncertainties on Cascaded Failure in Transmission Networks of Future Power Grids

Author: Wasseem Hani Al Rousan, Published Year: 2025

IEEE Access, 13

Faculty: Engineering and Technology

Abstract: The increase investment of renewable energy resources (RESs) into power systems, such as solar photovoltaics (PVs), introduces additional uncertainty in transmission line loading. This uncertainty adds challenges to cascading failure analyses of power systems especially in future power scenarios of high penetration of RESs. In this paper, cascaded failures of power systems caused by the sequence tripping of transmission lines in the presence of RESs (mainly PV systems) is analyzed. By studying the lost power and the line failure probability, the potential impact of integrating more RESs on cascaded failures is investigated. In this regard, the uncertainties of RESs are examined by adding PV systems probability distribution function that reflects the solar irradiance for a typical day.A transmission-boosting approach is proposed in this paper to minimize the impact of failure risk to mitigate the possibility of the cascaded failure caused by the increased penetration of RESs. This paper presents a systematic approach to mitigate the risk of cascading failures via reconducting of transmission lines. Simulation studies for different penetration scenarios of PV systems have been carried out to test the impact on the cascaded failure and to validate the proposed transmission-boosting approach. The results in this paper imply that the increase in penetration of PV systems in the power grid would increase the potential of both cascaded failure risk and occurrence. In addition, the results have shown the efficacy of the proposed transmission-boosting approach in minimizing the cascaded failure risk when implemented. The findings have been validated using the modified version of the IEEE 39-bus test system modeled and simulated in Matlab.

Keywords: Cascaded failures , photvoltaic energy systems , steady-state analysis , transmission-boosting

Research Title: Stress levels and eating behavior among university students in Jordan: A cross‑sectional study

Author: Nour Ratib Batarseh, Published Year: 2024

Journal of Education and Health Promotion, 13

Faculty: Allied Medical Sciences

Abstract: Abstract: BACKGROUND: Increased body weight is common among university students; transitioning from high school to university may increase perceived stress levels, thus changing dietary habits and metabolism to promote overweight or obesity. The current study investigates the association between stress and dietary habits among university students in Jordan. MATERIALS AND METHODS: A cross‑sectional study was conducted among 221 university students aged between 20 and 25 at Applied Science Private University [ASU]. A self‑reported questionnaire was distributed to university students. The questionnaires were divided into three sections: the first was about general characteristics, body weight, change in body weight, and stress eating. RESULT: The survey of 208 participants showed that 64.3% were females, and 84.2% of students lived with their families. Results showed that more than half [51.1%] of the respondents were dissatisfied with their eating habits. Females [57.7%] monitored their food intake more than males did. However, most males [77.2%] reported less eating during stress compared to females. In addition, the data analysis revealed that those who ate more were less likely to monitor their food intake [χ² =9.734, df = 1, P = .002] or quantity [χ² =16.704, df = 1, P < .001]. Only 20.8% of the participants preferred sports or hobbies as a stress reduction activity; 29.4% took showers, while 51.1% ignored what made them stressed. Finally, 56.3% of participants reported increased weight after starting university, and it was significantly correlated with stress eating while studying for exams [χ² =8.762, df = 2, P = .013]. Stress affects university students and can lead to unhealthy eating habits and health issues like obesity. CONCLUSION: Many students face stress during their academic years, which affects their dietary choices. Policies promoting healthy eating habits and stress‑reducing activities are important for university students

Keywords: Dietary intake, obesity, stress eating, university student

Research Title: High-fat diet and related obesity provoke neurotoxins and alter neuro-biomarkers involved in Parkinson's disease

Author: Nour Ratib Batarseh, Published Year: 2023

obesity medicine , 41

Faculty: Allied Medical Sciences

Abstract: Abstract Introduction Parkinson's disease is considered one of the most important neurodegenerative diseases after Alzheimer's and is characterized by a complex pathological nature. Obesity is a highly prevalent disease that is key to many chronic diseases. Recent research has focused on the association between obesity, high-fat diets, neurotoxins, and Parkinson's disease. Objectives This review aimed to investigate the effect of a high-fat diet on Parkinson's biomarkers in the brain and the mechanisms by which obesity related to a high-fat diet provokes neurotoxins and proteins and contributes to the development of Parkinson's. Methods and materials Data were collected by searching literature published in PubMed, Science Direct, or registered in clinicaTrials.gov between April/2022 to September/2022. Full-text relevant original articles were included, which were published from 2000 to 2022. The exclusion criteria were abstracts, conference proceedings, case reports, and non-English language studies. Results and conclusion Studies have shown an association between a high-fat diet (40–60%) and the alteration in Parkinson's biomarkers in the brain. Obesity and high fat intake alter Parkinson's biomarkers, provoke neurotoxins, and induce neurotoxicity and degeneration of dopaminergic neurons within weeks or months. Also, findings showed that studies focused on certain biomarkers and fat percentages. However, many did not mention the amount and ratio of polyunsaturated fatty acids in the dietary intervention, which could be a potential contributor. Therefore, more research is required to provide information about all biomarkers, especially those shared with Alzheimer's, and the effect of polyunsaturated fatty acids on the neuroinflammation process.

Keywords: α-synuclein BDNF High fat Obesity Orexin Parkinson's