Artificial intelligence (AI)-based models hold the potential to transform higher education if adopted properly and ethically. A prime example is ChatGPT with earlier studies indicating its widespread adoption in academia and by university students. The current study aimed to identify the factors influencing the attitude towards ChatGPT and its usage among university students in Arab countries. A previous survey instrument termed Technology Acceptance Model Edited to Assess ChatGPT Adoption (TAME-ChatGPT) was administered online using a convenience-based approach among the contacts of the authors. Confirmatory factor analysis (CFA) for the survey constructs was done using root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), comparative fit index (CFI), and Tucker-Lewis index (TLI). The final study sample comprised a total of 2240 participant divided as follows: Iraq (n=736, 32.9%), Kuwait (n=582, 26.0%), Egypt (n=417, 18.6%), Lebanon (n=263, 11.7%), and Jordan (n=242, 10.8%). A total of 1048 respondents heard of ChatGPT before the study (46.8%), of which 551 used ChatGPT (52.6%). The mean scores of TAME-ChatGPT constructs showed that the ease of ChatGPT use, positive attitude towards technology and social influence, higher perceived usefulness, the influence of behavioral/cognitive factors, low perceived risks and low anxiety were the determinants of positive attitude to ChatGPT and its use. For both the attitude and usage scales of TAME-ChatGPT, CFA collectively yielded satisfactory fit indices as indicated by low RMSEA and SRMR together with high CFI and TLI. Multivariate analysis showed that attitude to ChatGPT use was significantly influenced by country of residence, age, university type, and the latest grade point average of the students. The current study confirmed the validity of TAME-ChatGPT as a survey instrument to assess the possible determinants of ChatGPT use among university students in Arab countries. The study findings highlighted that successful adoption of ChatGPT in higher education could be dependent on perceived ease of use, usefulness, positive attitudes to technology, social influence, behavioral/cognitive factors, lower anxiety, and minimal perceived risks. The utility of ChatGPT in higher education requires policies that should be tailored for various settings, considering the differences observed in attitude towards ChatGPT among participating students in this study.

In this study, the application of sodium bentonite (SB) in formulation of tablets prepared by direct compression for oral administration was tested. Three different model drugs with different solubilities: paracetamol, diclofenac sodium and metformin HCl were tested. Each drug was mixed with SB at ratio of 50% and the mixtures were subsequently compressed. Compatibility studies were conducted using both Deferential Scanning Calorimeter (DSC) and Fourier Transform Infrared Spectroscopy (FTIR). The dissolution profile for each drug was determined in USP-buffers at different time intervals. Diclofenac sodium in pH 6.8 buffer and paracetamol in both pH 6.8 and pH 4.5 buffers showed extended release. However, metformin HCl showed immediate release at the different pH values. The study showed that using SB was possible to prepare tablets with different release profiles. However, these profiles differ depending on dissolution media and drug type.

Objective: The aim of this study was to explore association of initial laboratory parameters of hospitalized patients with COVID-19, with the severity and death incident. Methods: In this retrospective study, patients were classified based on mortality outcome (survivor and non-survivor) and disease severity (non-severe, severe, and critical). The initial laboratory data (within the first two days of hospital admission) were compared between these categories. Results: Of 362 COVID-19 patients hospitalized between January-2021 and May-2021, 39.0% were non-severe, 32.2% severe, and 28.7% critical. 77.3% were lived and 22.7% died in hospital. Non-survivors were significantly older than survivors. There was a statistically significant association between exceeding the cut-points of laboratory parameters and the severity of the disease or even death. These laboratory parameters included D-dimer, C-reactive protein, prothrombin time, ferritin, white blood cells, neutrophil count, aspartate aminotransferase, creatinine, blood urea nitrogen, lymphocyte count, and albumin. Also, exceeding the cut-points of these parameters showed high odds of death. The highest odds ratio was reported for albumin <3.5 g/ dL (OR=14.318 [4.784-42.851], p<0.001). Conclusion: The cut-points of the laboratory parameters could effectively be used as predictors to assess the severity and risk of death to improve the management of COVID-19 patients.

Objective: To evaluate the knowledge, believes, psychological and behavioural impact of COVID-19 on the general population in the Middle East, exploring how it impacted public lives. Methods: A descriptive cross-sectional online survey was sent to a convenience sample in the Middle East through social media (Facebook and WhatsApp) between 16^th of June and 30^th of June 2020. The questionnaire was designed to collect the demographic, participant’s source of information regarding COVID-19, knowledge and believes about COVID-19, the psychological consequences of COVID-19, impact of COVID-19 on participant’s behaviour. The final version of the questionnaire was further tested for content validity by experts in the field. Results: A total of 2,061 participants completed the survey, with the majority being females (n=1394, 67.6%), from urban areas (n=1896, 92%) and the majority were from countries of The Levant (n=1199, 58.1%), followed by the Arabian Peninsula (n=392, 19.1%), Iraq (n=300, 14.6%) and Egypt (n=138, 6.7%). Few participants (3.0%) reported to have been infected and many (n=1847, 89.6%) were committed to quarantine at home. Social media platforms were the most common sources of information (41.2%). Many (63%) believed that COVID-19 is a biological weapon and were afraid of visiting crowded places (85%). The majority avoided public facilities (86.9%) such as prayer places and believed that the news about COVID-19 made them anxious (49.5%).

Objectives: This research was undertaken to determine the prevalence and beliefs about drug abuse among university students in Jordan and to recommend certain preventive measures for the problem of drug addiction. Methods: A descriptive cross-sectional online survey was conducted in April 2021 and included 679 students from private and public universities in Jordan. Students were asked to fill out the study survey through social media (Facebook and WhatsApp). Results: The study included a survey conducted among 679 students from private and public universities whereby two third of them were females and more than half were studying in medical and health departments. It was found that 7.1% of university students used drugs in their life including illicit drugs, alcohol and cigarettes. Also, the addictive students started using drugs at a mean age of 18 years old ± 3.9. Importantly, around half of the addictive students succeeded to quit using drugs, 20.8% reported not trying to quit, while 33.3% of them tried but could not quit. In addition, the findings of this study revealed that peer pressure (n= 657, 96.8%), and the lack of religious commitment (n= 654, 96.3%), were the most motivational factors for drug abuse. Finally, regression analysis showed that female gender (OR= 0.094, p-value <0.001), and studying in public university (OR= 0.496, p-value= 0.042) were considered protective factors against substance abuse. Conclusion: Focusing on increasing the awareness of youths about the risks of using drugs is a major framework in the society. Our recommendations are to increase awareness among the students, parents and society about drug abuse.