This study conducts a comprehensive analysis of the aquaculture industry across 11 coastal regions in eastern China from 2017 to 2021 to assess their adaptability and resilience in the face of climate change. Cluster analysis was employed to examine regional variations in aquaculture adaptation by analyzing data on annual average temperatures, annual extreme high/low temperatures, annual average relative humidity, annual sunshine duration, and total yearly precipitation alongside various aquaculture practices. The findings reveal that southern regions, such as Fujian and Guangdong, demonstrate higher adaptability and resilience due to their stable subtropical climates and advanced aquaculture technologies. In contrast, northern regions like Liaoning and Shandong, characterized by more significant climatic fluctuations, exhibit varying degrees of cluster changes, indicating a continuous need to adjust aquaculture strategies to cope with climatic challenges. Additionally, the study explores the specific impacts of climate change on species selection, disease management, and water resource utilization in aquaculture, emphasizing the importance of developing region-specific strategies. Based on these insights, several strategic recommendations are proposed, including promoting species diversification, enhancing disease monitoring and control, improving water quality management techniques, and urging governmental support for policies and technical guidance to enhance the climate resilience and sustainability of the aquaculture sector. These strategies and recommendations aim to assist the aquaculture industry in addressing future climate challenges and fostering long-term sustainable development.

The incorporation of artificial intelligence (AI) into language education has created new opportunities for improving the instruction and acquisition of Chinese characters. Nevertheless, the cognitive difficulties linked to the acquisition of Chinese characters, such as their intricate visual features and lack of clear meaning, necessitate thoughtful deliberation when developing AI-supported learning interventions. The objective of this project is to explore the capacity of a collaborative method between humans and machines in teaching Chinese characters, utilising the advantages of both human expertise and AI technology. We specifically investigate the utilisation of ChatGPT, a substantial language model, for the creation of instructional materials and evaluation methods aimed at teaching Chinese characters to individuals who are not native speakers. The study utilises a mixed-methods approach, which involves both qualitative examination of lesson plans created by ChatGPT and quantitative evaluation of student learning outcomes. The results indicate that the suggested framework for human-machine collaboration can successfully tackle the cognitive difficulties associated with learning Chinese characters, resulting in enhanced learner involvement and performance. Nevertheless, the research also emphasises the constraints of AI-generated material and the significance of human involvement in guaranteeing the accuracy and dependability of educational interventions. This research adds to the expanding collection of literature on AI-assisted language learning and offers practical insights for educators and instructional designers who aim to use AI tools into Chinese language curriculum. The results emphasise the necessity of employing a multi-disciplinary strategy in AI-supported language learning, incorporating knowledge from cognitive psychology, educational technology, and second language acquisition.

The global ecological crisis has impacted the Belt and Road Initiative (BRI) region, and due to the diverse geographical characteristics, the ecological problems in countries along the Belt and Road vary. Overcoming these environmental and ecological challenges is essential for advancing and genuinely implementing green development, and has become a practical necessity for building a “Green Belt and Road.” China, the creator of the Green “Belt and Road Initiative”, actively aligns with international environmental protection standards and plays a leading role in global ecological conservation efforts. China vigorously promotes the development of key policy documents for the Green Belt and Road, providing institutional support for the initiative’s environmentally friendly construction and development. Under comprehensive theoretical planning, various green practices have been implemented, including thematic in-depth research on the Green “Belt and Road” and the “2030 Agenda for Sustainable Development,” the establishment of the “International Green Development Coalition” along the Belt and Road, the implementation of overseas investment and green finance, and the proposal of the “Ten, Hundred, Thousand” initiative for South-South Cooperation on Climate Change. These green practices clearly indicate China’s commitment to building ecological civilization and its relentless efforts toward advancing the construction of a global ecological community with shared-benefits.

With the development of the times and changes in the environment of traditional martial arts, Choi Lei Fut (a Chinese martial arts system), a Chinese state-level intangible cultural heritage, is facing many difficulties in its inheritance and sustainable development. Especially in the context of COVID-19 pandemic prevention and control measures, the sustainable development of Choi Lei Fut is facing increasingly serious challenges. In order to understand the current situation of Choi Lei Fut’s survival and development in the new era, and to enhance the momentum and vitality of its sustainable development, this study combines questionnaire survey and field interviews to investigate and analyze the current situation. Based on this, it proposes strategies to promote the sustainable development of Choi Lei Fut. This study will not only provide methodological reference for the inheritance and development of Choi Lei Fut but also offer insights for the inheritance and sustainable development of other Chinese martial arts gyms and even martial arts practices elsewhere.

Urbanization and suburbanization have led to high population growth in certain city regions, resulting in increased population density and mobility. Therefore, there is a need for a concept to address congestion, public transportation, information and communication systems, and non-motorized vehicles. Smart mobility is a concept of urban development as part of the smart city concept based on information and communication technology. Through this concept, it is expected that transportation services will be easily accessible, safe, comfortable, fast, and affordable for the community. This research aims to analyze smart mobility and its relationship with regional transportation planning and the development of South Tangerang, as well as to design a policy strategy model for the planning and development of South Tangerang with smart mobility. The research method used in this study is a mixed method, including analyzing the relationships and weighting of relationships between variables using the Cross Impact Multiplication applied to a classification (MICMAC) matrix. Multi-criteria decision analysis (MCDA) with Promethee software is also used to obtain the necessary policies. The results of this research indicate that the measurement of relationships between variables shows that smart mobility influences regional transportation planning, smart mobility affects regional development, and regional planning affects regional development. This research also provides alternative policies that policymakers should implement in a specific order. First, ensure the availability of public transportation; second, improve public transportation safety; third, enhance public transportation security; fourth, improve public transportation routes; fifth, provide real-time information access; sixth, improve transportation schedules; and seventh, increase the number of bicycle lanes.