Bibliometric analysis is a commonly used tool to assess scientific collaborations within the researchers, community, institution, regions and countries. The analysis of publication records can provide a wealth of information about scientific collaboration, including the number of publications, the impact of the publications, and the areas of research where collaborations are most common. By providing detailed information on the patterns and trends in scientific collaboration, these tools can help to inform policy decisions and promote the development of effective strategies to support and enhance scientific collaborations between countries. This study aimed to analyze and visualize the scientific collaboration between Japan and Russia, using bibliometric analysis of collaborative publications from the Web of Science (WoS) database. The analysis utilized the bibliometrix package within the R statistical program. The analysis covered a period of two decades, from 2000 to 2021. The results showed a slight decrease in co-authored publications, with an annual growth rate of −1.26%. The keywords and thematic trends analysis confirmed that physics is the most co-authored field between the two countries. The study also analyzed the collaboration network and research funding sources. Overall, the study provides valuable insights into the current state of scientific collaboration between Japan and Russia. The study also highlights the importance of research funding sources in promoting and sustaining scientific cooperation between countries. The analysis suggests that more efforts in government funding are needed to increase collaboration between the two countries in various fields.

This paper analyzes the characteristics and influence mechanisms of financial support for China’s strategic emerging industries. Using a sample of 356 listed companies across nine major industries, we conduct an in-depth analysis of the efficiency of financial support and its influencing factors. In addition, this paper analyzes the influence mechanism of financial support for strategic emerging industries based on the relevant theory of financial support for industry development. It clarifies the internal and external influencing factors. Based on the theoretical analysis, a two-stage empirical investigation was conducted: The data of 356 listed companies in strategic emerging industries from 2010 to 2022 were selected as a sample, and the data envelopment analysis (DEA) method was applied to measure efficiency. The influencing factors were then analyzed using a Tobit regression and an intermediate effects test.

This paper explores the integration of digital technologies and tools in English as a Foreign Language (EFL) learning in Jordanian Higher Education through a qualitative open-ended online survey. It highlights the perceptions of 100 Jordanian EFL instructors, each with a minimum of five years of experience, on the digital transformation in the EFL learning process. The survey, consisting of ten open-ended questions, gathered in-depth insights on the benefits, challenges, and implications of this transformation. Thematic analysis was employed to analyze the qualitative data, revealing varied levels of experience, the use of diverse digital tools, and both technical and pedagogical challenges. Key findings include the positive impact of digital tools on teaching and learning experiences, enhanced student engagement, and opportunities for personalized learning and collaboration. The study concludes that leveraging digital resources can enhance EFL learner engagement and learning outcomes, inform future pedagogical practices, and shape the landscape of digital transformation in EFL Higher Education for years to come.

Accurate demand forecasting is key for companies to optimize inventory management and satisfy customer demand efficiently. This paper aims to Investigate on the application of generative AI models in demand forecasting. Two models were used: Long Short-Term Memory (LSTM) networks and Variational Autoencoder (VAE), and results were compared to select the optimal model in terms of performance and forecasting accuracy. The difference of actual and predicted demand values also ascertain LSTM’s ability to identify latent features and basic trends in the data. Further, some of the research works were focused on computational efficiency and scalability of the proposed methods for providing the guidelines to the companies for the implementation of the complicated techniques in demand forecasting. Based on these results, LSTM networks have a promising application in enhancing the demand forecasting and consequently helpful for the decision-making process regarding inventory control and other resource allocation.

There is fast growth of digital banking services in Saudi Arabia clearly shows the necessity of well-considered legal decisions. However, there is an obscurity with respect to protecting consumers’ rights and creating a reliable atmosphere for digital finance through legal framework in the digital banking sector in the Kingdom. The primary aims and objectives of this research is to scrutinize the digital banking consumers’ protection legal framework being overseen in Saudi Arabia, analyzing its content, mechanisms, and impact on different stakeholders. Similarly, the study tires to determine its efficacy as well as identify the roadblocks which can prevent its success. Through an extensive review and examination, the evaluation defines key issues, difficulties and finalizes statements about the legal field. The content analysis methodology was used to help address issues emanating from the existing literature. Various scholarly articles, policy documents, and regulatory guidelines were explored. In other words, data for this study were collected through different search sources such as journals, traditional articles of Google Scholar, policy documents, and library sources. A total of 25 articles were explored and contributed immensely to unveiling various aspects of the legal framework of digital banking as well as consumers’ protection in the Kingdom. The findings of this investigation have identified three basic themes on the domestic legal regulation of consumers’ protection in the digital banking system in Saudi Arabia. First, the study has analyzed various legislations such as: consumer protection law, sector-specific regulations, among others concerning the rights and duties of consumer protection. Second, legal obligations in seeking remedies when there is a discriminatory treatment in digital banking services. Third, it has been established that Saudi Arabia have taken a proactive step towards a robust safety cushion to protect the consumer rights and minimizing the risks involved in cybersecurity in the context of Saudi Arabia. Theoretically, on one hand, the study highlights the paramount significance to consumers’ protection legislations in the Kingdom. On the other hand, practically, the Kingdom’s witness of rapid economic growth and technological advancement, ensuring robust consumer protection measures becomes increasingly paramount to foster trust, promote fair business practices, and enhance consumer confidence in the marketplace. Nonetheless, some limitations such as insufficient consumers’ education and regulatory inadequacies were noted which need national coordination between stakeholders. Notwithstanding the fact that the legal framework exhibits strong points especially in addressing vital issues, its timely evaluation, amendment, and enforcement is deemed as a key to solve the emerging challenges and obtain confidence of consumers when it comes to digital banking.