The COVID-19 crisis demanded that all educational activities should be performed virtually to follow social distancing guidelines. Therefore, there was a need to perform a research study to assess the effects of external factors on the perceived usefulness, ease of use of e-learning, and the further effect of these perceptions on attitude and intent to use e-learning by using the technology acceptance model (TAM) among academicians at higher education institutions in the Kingdom of Saudi Arabia. Methods: A cross-sectional study was conducted, and data were collected from 263 academicians across Saudi Arabia through an online survey questionnaire using a non-probability purposive sampling technique and analyzed and tested using the SPSS and Smart PLS software. Results: This study found that self-efficacy was positively associated with perceived usefulness at β = 0.143 and p < 0.05, but it had no association with perceived ease of use at β = 0.057 at p > 0.05. System accessibility had a significant and positive relationship with perceived usefulness and perceived ease of use at β = 0.283, β = 0.247, and p < 0.01, respectively. Self-efficacy had a positive effect on perceived usefulness, whereas the subjective norm had no relationship with perceived usefulness and perceived ease of use at β = −0.065 and β = −0.012 at p > 0.05, respectively. Perceived ease of use and perceived usefulness were positively related to attitude towards use, which has a significant influence on intention to use e-learning. Conclusion: Perceived ease of application is the most significant factor (β = 0.556) in developing the attitude among academicians to practice e-learning, followed by perceived usefulness (β = 0.262). Moreover, it can be concluded that system accessibility has a stronger influence on developing perception among academicians about the expediency and ease of application of e-learning than self-efficacy.

Background: T-cell-engaging bispecific antibodies (TCEs) have transformed haematological malignancy treatment (blinatumomab > 40% complete remission), yet solid tumour efficacy remains limited (<15% response rates) due to antigen heterogeneity, immunosuppressive microenvironments, and T-cell dysfunction. Systematic molecular engineering, biomarker-driven patient selection, and rational tumour microenvironment modulation are now collectively transforming TCEs from experimental agents into an adaptable platform therapy for solid tumours. Methods: Review of 55 phase I–III trials of CD3-based TCEs in solid tumours, including tarlatamab (DLL3-targeted, small-cell lung cancer) and xaluritamig (STEAP1-targeted, prostate cancer). Analysis of next-generation engineering strategies and resistance mechanisms via genomic and immunohistochemical data. Result: Response rates now approach ~40% in selected settings, marking an inflection point. In extensive-stage small-cell lung cancer, tarlatamab achieved ~40% responses with definitive survival benefit (phase III HR 0.60, 95% CI 0.47–0.77; p < 0.001; median OS 13.6 months). In metastatic castration-resistant prostate cancer, xaluritamig produced ~41% responses in heavily pretreated patients. Step-up dosing reduced severe cytokine release syndrome to <1% (as low as 0.6% with teclistamab), enabling outpatient administration. Neurological adverse events require monitoring but are less frequent than with cellular therapies. Together these results mark a decisive transition from proof-of-concept to clinically validated platform therapy. Discussion: Three resistance mechanisms limit durability: (i) antigen heterogeneity (28–60% of progressors develop antigen-negative subclones); (ii) immunosuppressive microenvironments (stromal barriers, myeloid-derived suppressor cells, hypoxia); (iii) T-cell exhaustion (PD-1/TIM-3/LAG-3 co-expression). Conclusions: Next-generation TCE platforms integrating conditional activation, cytokine payloads, and checkpoint modulation—deployed with biomarker-guided selection and TME-modulating combinations—represent a transformative therapeutic strategy. With tarlatamab’s phase III survival benefit establishing clinical proof-of-concept, and pivotal trials underway for xaluritamig and next-generation agents, TCEs are positioned to become standard-of-care platform therapies in biomarker-defined solid tumours by 2028–2030.

Alzheimer’s Disease (AD) is the prevailing type of neurodegenerative illness, characterised by the accumulation of amyloid beta plaques. The symptoms associated with AD are memory loss, emotional variability, and a decline in cognitive functioning. To date, the pharmaceuticals currently accessible in the marketplace are limited to symptom management. According to several research, antidepressants have demonstrated potential efficacy in the management of AD. In this particular investigation, a total of 24 anti-depressant medications were selected as ligands, while the Microtubule Affinity Receptor Kinase 4 (MARK4) protein was chosen as the focal point of our study. The selection of MARK4 was based on its known involvement in the advancement of AD and other types of malignancies, rendering it a highly prospective target for therapeutic interventions. The initial step involved doing ADMET analysis, which was subsequently followed by molecular docking of 24 drugs. This was succeeded by molecular dynamics simulation and molecular mechanics generalised Born surface area (MMGBSA) calculations. Upon conducting molecular docking experiments, it has been determined that the binding affinities observed fall within the range of -5.5 kcal/mol to -9.0 kcal/mol. In this study, we selected six anti-depressant compounds (CID ID ‐ 4184, 2771, 4205, 5533, 4543, and 2160) based on their binding affinities, which were determined to be -9.0, -8.7, -8.4, -8.3, -8.2, and -8.2, respectively. Molecular dynamics simulations were conducted for all six drugs, with donepezil serving as the control drug. Various analyses were performed, including basic analysis and post-trajectory analysis such as free energy landscape (FEL), polarizable continuum model (PCM), and MMGBSA calculations. Based on the findings from molecular dynamics simulations and the MMGBSA analysis, it can be inferred that citalopram and mirtazapine exhibit considerable potential as anti-depressant agents. Consequently, these compounds warrant further investigation through in vitro and in vivo investigations in the context of treating AD.

Background: The novel coronavirus (COVID-19) infection is primarily transmitted through respiratory droplets from an infected person and contact with tainted surfaces or items. Social distancing became the primary measure of preventing the spread of COVID-19, with the principal aim being to reduce the probability of contact with an already infected person. Social distancing can be distressing, as it is against the community's way of life. Saudi Arabia imposed a curfew and suspended all religious, entertainment, sporting, and mass congregations. The daily updates on COVID-19 infection and mortality are upsetting and further, aggravate depression and anxiety. With this background, this study was planned with the following objectives. To determine the sociodemographic profile of the study participants, to find the prevalence of psychological morbidity, and to measure the association between the sociodemographic details, COVID-19 associated factors, and psychological effects among Abha citizens during the COVID-19 pandemic. Methodology: A descriptive cross-sectional community-based study was conducted in the Abha city population from August 2021 to July 22. This study followed snowball sampling, the data was collected using an online Google form the link was shared in WhatsApp groups and through emails to contacts, asking friends to share it with their friends, until reaching the adequate sample size the responses were accepted. Results: A total of 530 participated, and their age ranged from 19 -70 years. Many of the participants (34.5%, n=183) belonged to 36-45 years old. Most of the responders were 69.8% married and Females (69.2%, n=367). Half of the participants had been quarantined (49.6%), and 51.5% were scared from fear of COVID-19. 64.8% of the participants had depression; 14.2%, 20.8%, 13.6%, and 16.2% had mild, moderate, severe, and extremely severe depression, respectively. Around 58.2% of participants suffered from anxiety; 5.8% experienced mild anxiety, 21.7% moderate anxiety, and 30.7% severe anxiety. The proportion of stress among the participants was 45.0%; 10.8% had mild stress, 9.4% had moderate stress, and 24.5% had severe to extremely severe stress. Conclusions: COVID-19 poses mental health problems among individuals and communities. There is a need to find the more susceptible individuals for mental health issues or other psychological disorders. Mental health and psychological problems can be resolved with health education, counseling, and appropriate interventions to curb the negative health impacts of COVID-19.

Background: Every year around the world road traffic accidents (RTAs) cause 1.19 to 1.35 million deaths and 20–50 million non-fatal injuries that result in long-term disabilities and loss of potential life years (YPLL). These injuries have far-reaching consequences that extend beyond the injured person to impact both their families and their wider communities. The Middle East shows a wide range of death rates from RTAs and Saudi Arabia experiences the highest fatality rate. This study aims to identify different maxillofacial fractures and other skeletal fractures in road traffic accident victims while investigating seatbelt usage’s correlation with maxillofacial fractures and also examines demographic variables (age, gender) and crash-related factors (seating position, vehicle type) to contextualize seatbelt efficacy. The study evaluated road traffic accident cases from a retrospective record-based dataset spanning 2011–2021 during the period from January 2023 through May 15th 2023 and marked 542 records with complete details as eligible after filtering. Out of 3629 RTA records, 907 (25%) were randomly selected. Among these, 542 (65%) met the inclusion criteria and were analyzed. The male population comprised 76% of the 412 victims and 82.8% of the victims neglected seatbelt usage while 284 of the 542 participants experienced multiple bone fractures and 126 individuals suffered from single maxillofacial bone fractures. The mandible fracture was the most common facial bone injury with 246 cases (45.3%), followed by Lefort1 fractures which occurred 244 times (45.0%), and Zygomatic maxillary complex fractures which had 216 occurrences (39.8%). Conclusion: Research results highlight the necessity for stronger public health strategies and road safety programs to improve seatbelt usage and decrease injury severity in road traffic accidents. Research findings indicate specific vehicle safety design enhancements needed to prevent facial injuries more effectively.