Background: The prevalence of anxiety among college students is a growing global concern, with a median prevalence of 32%. This study addresses the need for effective interventions within an educational policy framework to alleviate anxiety and promote mental health among college students. Objective: The study aims to evaluate the impact of breathing relaxation exercises and tactile art therapy on college students' self-understanding and psychological well-being, providing reference information for policies and practices in mental health education. Methods: We enrolled 10 college students from X University in South Korea, dividing them into an experimental group and a control group. The experimental group underwent 10 sessions of breathing exercises and tactile art therapy, while the control group received standard psychological counseling. Pre- and post-tests assessed breathing function, self-understanding, and psychological well-being. Results: The experimental group demonstrated significant improvements in breathing function, particularly in forced vital capacity (FVC), and in psychological well-being, as measured by the Psychological Well-Being Scale (PWBS). Sub-factors such as safety, goal orientation, and self-acceptance within self-understanding, self-acceptance, positive relationships, purpose in life, and environmental mastery within psychological well-being, showed notable enhancements. In contrast, the control group did not show significant effects in terms of FVC and FEV1（p > 0.05）, and there were no statistically significant differences in the various sub-factors of self-understanding and psychological well-being. Conclusion: The study demonstrates that integrating breathing relaxation exercises and tactile art therapy into educational policy can significantly reduce anxiety and enhance the psychological well-being of college students. These findings suggest that such interventions can be effective components of a comprehensive educational policy aimed at improving student mental health.

The increasing demand for electricity and the need to reduce carbon emissions have made optimizing energy usage and promoting sustainability critical in the modern economy. This research paper explores the design and implementation of an Intelligent-Electricity Consumption and Billing Information System (IEBCIS), focusing on its role in addressing electricity sustainability challenges. Using the Design Science Research (DSR) methodology, the system's architecture collects, analyses, and visualizes electricity usage data, providing users with valuable insights into their consumption patterns. The research involved developing and validating the IEBCIS prototype, with results demonstrating enhanced real-time monitoring, load shedding schedules, and billing information. These results were validated through user testing and feedback, contributing to the scientific knowledge of intelligent energy management systems. The contributions of this research include the development of a framework for intelligent energy management and the integration of data-driven insights to optimize electricity consumption, reduce costs, and promote sustainable energy use. This research was conducted over a time scope of two years (24 months) and entails design, development, pilot test implementation and validation phases.

The freight transport chain brings together several types of players, particularly upstream and downstream players, where it is connected to both nodal and linear logistics infrastructures. The territorial anchoring of the latter depends on a good level of collaboration between the various players. In addition to the flow of goods from various localities in the area, the Autonomous Port of Lomé generates major flows to and through the port city of Lomé, which raises questions about the sustainability of these various flows, which share the road with passenger transport flows. The aim of this study is to analyse the challenges associated with the sustainability of goods flows. The methodology is based on direct observations of incoming and outgoing flows in the Greater Lomé Autonomous District (DAGL) and semi-directive interviews with the main players in urban transport and logistics. The results show that the three main challenges to the sustainability of goods transport are congestion (28%), road deterioration (22%) and lack of parking space (18%).

This paper uses quantitative research methods to explore the differences in the impact of virtual influencers on different consumer groups in the context of technological integration and innovation. The study uses DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering technology to segment consumers and combines social media behavior analysis with purchase records to collect data to identify differences in consumer behavior under the influence of virtual influencers. Consumers' emotional resonance and brand awareness information about virtual influencers are extracted through sentiment analysis technology. The study finds that there are significant differences in the influence of virtual influencers on different consumer groups, especially in high-potential purchase groups, where the influence of virtual influencers is strong but short-lived. This paper further explores the deep integration of virtual influencer technology with new generation information technologies such as 5G and artificial intelligence, and emphasizes the importance of such technological integration in enhancing the endogenous and empowering capabilities of virtual influencers. The research results show that technological integration and innovation can not only promote the development of virtual influencers, but also provide new technical support for infrastructure construction, especially in the fields of smart cities and industrial production. This paper provides a new theoretical perspective for the market application of virtual influencers and provides practical support for the application of virtual technology in infrastructure construction.