The menace of road traffic accidents (RTAs) has become a major constraint to development in most developing countries because of driving behaviour. This study examines the effects of road users’ education programmes on driving behaviour toward RTA reduction in Nigeria. Data for the study were collected by random sampling of 287 respondents. The respondents comprising road safety officers and drivers were selected at six (6) zonal headquarters of the Federal Road Safety Commission. The questionnaire presented seventeen (17) statements in a 5-point Likert scale for the respondents to rank in order of importance as they have influenced driving behaviour. The data collected were analysed using exploratory factor analysis to identify the most significant effects of road user education on driving behaviour. The study found that road user education programmes have influenced driving behaviour by improving bad driving acts, maintaining good vehicle conditions, and obeying road communication signs. The finding implies that appropriate driving behaviour will reduce road traffic accidents.

The aim of the study is to identify the requirements for qualifying administrative leaders and the challenges they face at King Khalid University, in light of the general framework of the Human Capacities Development Program, which includes four dimensions (values and behaviours-basic skills-future skills-knowledge). A descriptive approach was used, and the study population consisted of academic leaders at King Khalid University, totalling (107). A questionnaire was used as a research tool, comprising three axes and (53) statements to collect data after ensuring their validity and reliability. The results showed the agreement of the study population on the axis of requirements for qualifying administrative leaders at King Khalid University to a very high degree, with an average score of (4.44), and their agreement on the challenges facing the qualification of administrative leaders at King Khalid University to a very high degree, with an average score of (4.11), and their agreement on the mechanisms for qualifying administrative leaders at King Khalid University to a very high degree, with an average score of (4.29). The results also showed no statistically significant differences at the significance level (0.05) between the means of responses of the study population on the requirements, challenges, and mechanisms for qualifying administrative leaders according to variables (gender-academic qualification—experience in the current job). In light of the study results, a proposed strategy was developed, and recommendations were made, including adopting the proposed strategy and governing the programs for qualifying administrative leaders at King Khalid University to ensure transparency, fairness, and accountability at all stages from nomination, preparation, and evaluation, in addition to considering the university’s strategic plan when designing programs for qualifying administrative leaders to adopt the values embraced by the administration and build leaders who contribute to achieving its vision and mission in the long term.

Sports competition is one of the important contents and forms of sports activities and physical education. It plays a full range of valuable functions in promoting the all-round development of college students. Specifically, it can better help college students enjoy fun, enhance their physique, and improve their physical fitness during physical exercise. Personality and tempering the will. Countries around the world attach great importance to youth sports competitions, and use national strategies as the top-level design and sports events as activity carriers to create a series of youth sports competitions such as graded competitions, championships, and campus events, providing more opportunities for young people to watch and participate in sports. Opportunities and platforms for competition. College student sports competitions are an important part of youth sports competitions and shoulder multiple missions such as physical health promotion, competitive talent training, and sports industry development. In recent years, the development of college sports competitions around the world has achieved remarkable results, and the scale and quality of Chinese college sports competitions have also been significantly improved. However, compared with developed countries, overall, there is still a weak awareness of participation, poor competition experience, and competitive competition. Prominent problems such as low levels and high activity withdrawal rates have, to a certain extent, restricted the high-quality development of college student sports competitions. In fact, it is not as easy as imagined for college students to participate in sports competitions regularly for a long time. In addition to requiring college students to possess certain basic conditions such as time, energy, and skills, it also requires support and promotion from all walks of life, especially It is inseparable from the material, spiritual and technical support provided by family, friends, coaches and other important groups. Just as the social ecological model believes that individual physical activity behavior is closely related to social support at the interpersonal level, especially social support from important groups such as family and friends has a positive impact on individual physical activity behavior. At the same time, although social support is very important, not all social support received can promote college students to form good sports competition behaviors. Self-determination theory emphasizes that only effective social support can regulate and optimize individual sports motivation by meeting the individual’s basic psychological needs, and ultimately promote the formation of positive, long-term sports behavior. However, most of the current sports academic circles continue the research context of traditional college student sports management, focusing on the contemporary value, practical issues, system construction, etc. of college student sports competitions. They are more subjective qualitative theoretical research and relatively lack the influence of social support. Empirical research on the sports competition behavior of college students, so that the internal mechanism of social support affecting the sports competition behavior of college students is not clear enough and understood. Therefore, from the perspective of social ecology, this study explores the internal mechanism of social support affecting college students’ sports competition behavior, in order to provide certain theoretical reference for improving the level of college students’ sports competition behavior.

This study explores the determinants of control loss in eating behaviors, employing decision tree regression analysis on a sample of 558 participants. Guided by Self-Determination Theory, the findings highlight amotivation (β = 0.48, p < 0.001) and external regulation (β = 0.36, p < 0.01) as primary predictors of control loss, with introjected regulation also playing a significant role (β = 0.24, p < 0.05). Consistent with Self-Determination Theory, the results emphasize the critical role of autonomous motivation and its deficits in shaping self-regulation. Physical characteristics, such as age and weight, exhibited limited predictive power (β = 0.12, p = 0.08). The decision tree model demonstrated reliability in explaining eating behavior patterns, achieving an R² value of 0.39, with a standard deviation of 0.11. These results underline the importance of addressing motivational deficits in designing interventions aimed at improving self-regulation and promoting healthier eating behaviors.

The centers of trade and economic activities in the region of Southeast Asia rank from a huge and modern to a small and traditional pattern. Malacca and Singapore have been cases in point for huge and modern patterns, while the border areas in eastern Indonesia, East Malaysia, and the Philippines are the cases for small and traditional centers. This paper will argue that with global connectivity and regional dynamics, the small and traditional trade and economic centers could shift to modern ones. History records that the introduction of the Southeast Asian region by the outside world, especially in relation to trade and economic activities, was largely derived from the significant role played by the people in the mainland of Southeast Asia regarding the silk roads route and the role of the people in the insular or islands of Southeast Asia regarding the spice trade route in the premodern time. Later in the modern time in Southeast Asia, the role of Islam, the Europeans and the center trade of Malacca around the 17th and 18th centuries played a significant role. Indeed, huge trade centers like Malacca in the 17th C and 18th C and later by Singapore in the 9th C have been very important throughout the history of trade in the Southeast Asian region. However, we must not ignore the roles of the border areas in the Southeast Asian archipelago, especially in eastern Indonesia, East Malaysia, and the border region of the Philippines which have played a dominant role in trade and economic activities. These activities have been smaller and more traditional than the Malacca and Singapore cases, but economic activities could develop rapidly with the global connection and its interconnectivity. Besides, those border areas have also become an important key for security issues not only in the Southeast Asia region in particular but also in the Asia Pacific or Indo Pacific region as well. The security of the region of Southeast Asia and even Indo Pacific could be affected by the situation in those border areas. Interconnectivity is a challenge as well as an opportunity for these border areas to become the future of trade and economic activities within the region of Southeast Asia that also connects with the region of Indo Pacific, especially China, South Korea, and Taiwan. The planning of Indonesian capital movement to East Kalimantan will add opportunities for those border areas located near the proposed new capital. About the above issues, this paper will address several issues: firstly, the history of trade and economic activities in Malacca, Singapore, and the border areas in eastern Indonesia, East Malaysia, and the Philippines; secondly, the different patterns of trade and economic developments of the Malacca, Singapore, and the border areas in eastern Indonesia, East Malaysia, and Philippines; thirdly, the challenges and opportunities of the border areas in eastern Indonesia, East Malaysia, and the Philippines to develop bigger trade centers in the future; fourth, the interconnectivity of those border areas to Asia Pacific region. This paper uses an interdisciplinary approach in the fields of social sciences and humanities. With this study, it is hoped that a better understanding of regional dynamics will be obtained, especially in the border areas. The period that we use is from 1998 until present time regarding if there was changing policy due to the end of Old Order to the Reformation period of Indonesian government. As a result, the development of border areas had been in existence before the colonial time in which people moved freely and had trade contacts. Even though they used to have the same ethnic linkage, after the formation of a modern state where they have different citizenships, in reality they can relate to each other in harmony and peace because of the similarity of ethnic linkages they had in the past. Colonial powers intended to replace the powers of traditional kingdoms with the idea of civilizing the colonializ

Accurate drug-drug interaction (DDI) prediction is essential to prevent adverse effects, especially with the increased use of multiple medications during the COVID-19 pandemic. Traditional machine learning methods often miss the complex relationships necessary for effective DDI prediction. This study introduces a deep learning-based classification framework to assess adverse effects from interactions between Fluvoxamine and Curcumin. Our model integrates a wide range of drug-related data (e.g., molecular structures, targets, side effects) and synthesizes them into high-level features through a specialized deep neural network (DNN). This approach significantly outperforms traditional classifiers in accuracy, precision, recall, and F1-score. Additionally, our framework enables real-time DDI monitoring, which is particularly valuable in COVID-19 patient care. The model’s success in accurately predicting adverse effects demonstrates the potential of deep learning to enhance drug safety and support personalized medicine, paving the way for safer, data-driven treatment strategies.