Baribis Fault disasters caused the loss of human lives. This study investigates the strategies local communities employ in Indonesia to cope with disasters. A qualitative study was conducted on various cultural strategies used to mitigate disasters in relevant areas. These strategies were selected based on the criteria of locally based traditional oral and written knowledge obtained through intensive interviews. The study reveals that technological and earth science solutions are insufficient to resolve disasters resulting from Baribis Fault activity. Still, local culture and knowledge also play a crucial role in disaster mitigation. The study contributes to a deeper understanding of how cultural strategies avoid disasters and highlights the need to transform local knowledge regarding effective cultural strategies for mitigating such disasters. This transformation can have positive psychological implications and enhance community harmony.

The technological infrastructure is the basis for the successful implementation and operation of information systems in small and medium enterprises. The study aimed to demonstrate the impact of cybersecurity on entrepreneurship strategies in small and medium enterprises. Through technological infrastructure in Balqa Governorate. The study population consisted of small and medium enterprises in Balqa Governorate in Jordan. The study followed the descriptive analytical approach and relied on the questionnaire to collect data. The sample size was 360 individuals were randomly select. The Statistical Package for Social Sciences (SPSS) was use to analyze the data. The study reached a set of results, including that the management of small and medium enterprises is committed to continuous supervision and control of customer information. Dealing with reliable parties to ensure the confidentiality of information, following strict standards for disclosure and circulation of customer data and information based on legal texts. Maintaining the privacy of customers’ financial data, in addition to supporting the successes of individuals based on the personal efforts of employees, providing a suitable work environment for employees, sustaining excellence and achievement, and working to increase awareness among its employees of the importance of innovation and creativity in work. The study recommended that customer data confidentiality should be consider a top priority for small and medium enterprises. The data should be stored in more than one place at the same time, that project websites should follow a privacy policy, and that the customer’s identity should be verify before submitting his data and documents, by involving employees in small and medium enterprises in specialized courses and workshops to demonstrate the importance of data and information confidentiality.

This study explored how facilitation skills—defined as instructional techniques that accurately convey core messages in a trusting relationship and encourage self-directed learning participation among adult learners—affect the effectiveness of learning. The research focused on adult learners enrolled in lifelong education programs at seven universities, including general and vocational colleges in Busan. It aimed to examine the relationships between instructors’ facilitation skills, learner engagement, and learning outcomes, as well as the mediating effect of engagement on these relationships. A total of 213 valid survey responses were analyzed from an initial 215 responses, excluding 2 unsuitable entries. The findings are summarized as follows. First, facilitation skills were found to partially influence learner engagement. Second, learner engagement was shown to affect learning outcomes. Third, facilitation skills were found to have a partial effect on learning outcomes. Fourth, learner engagement partially mediated the relationship between facilitation skills and learning outcomes. Based on these results, this study is expected to contribute to a deeper understanding of the relationship between facilitation skills and learning outcomes in adult learners, providing practical guidelines for enhancing effectiveness in various educational contexts.

The study investigates the role of foreign language enjoyment (FLE) and engagement in the context of English language learning among Chinese students, emphasizing the significance of positive emotions in enhancing academic success. Utilizing a sample of 249 students majoring in international trade, the research employs the foreign language enjoyment scale to count their enjoyment level and foreign language engagement scale to assess various dimensions of student engagement, including cognitive, emotional, behavioral, and social engagement. By conducting regression analysis, the findings reveal that FLE positively influencing learners’ learning outcome while engagement doesn’t pose significant impact on their learning outcome. The study highlights the importance of fostering positive emotions in educational settings to improve language learning outcomes and suggests that understanding the interplay between FLE and other affective factors can lead to more effective teaching strategies in foreign language education. 

The economy, unemployment, and job creation of South Africa heavily depend on the growth of the agricultural sector. With a growing population of 60 million, there are approximately 4 million small-scale farmers (SSF) number, and about 36,000 commercial farmers which serve South Africa. The agricultural sector in South Africa faces challenges such as climate change, lack of access to infrastructure and training, high labour costs, limited access to modern technology, and resource constraints. Precision agriculture (PA) using AI can address many of these issues for small-scale farmers by improving access to technology, reducing production costs, enhancing skills and training, improving data management, and providing better irrigation infrastructure and transport access. However, there is a dearth of research on the application of precision agriculture using artificial intelligence (AI) by small scale farmers (SSF) in South Africa and Africa at large. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) and Bibliometric analysis guidelines were used to investigate the adoption of precision agriculture and its socio-economic implications for small-scale farmers in South Africa or the systematic literature review (SLR) compared various challenges and the use of PA and AI for small-scale farmers. The incorporation of AI-driven PA offers a significant increase in productivity and efficiency. Through a detailed systematic review of existing literature from inception to date, this study examines 182 articles synthesized from two major databases (Scopus and Web of Science). The systematic review was conducted using the machine learning tool R Studio. The study analyzed the literature review articled identified, challenges, and potential societal impact of AI-driven precision agriculture.