At the present stage in China, the situation of rural domestic sewage collection and treatment is grim, and management is difficult. Rural domestic wastewater treatment has become one of the important tasks in the implementation of rural revitalization strategy. Focusing on rural MBR membrane treatment stations, the influence of water quality on their operating conditions was comprehensively analyzed. Key water quality parameters including chemical oxygen demand(COD), ammonia nitrogen (NH₃-N), total phosphorus(TP), and suspended solids (SS) were analyzed in detail to clarify the characteristics of wastewater quality. In terms of sludge characteristics, the capillary suction time (CST) was used to evaluate the sludge dewatering performance, and it is found that the change of water quality could change the difficulty of sludge dewatering. Using bioinformatic analysis, it is revealed that the structure of microbial community was intrinsically linked to water quality parameters, and the relative abundance of species under different water quality conditions showed obvious differences and was closely related to the treatment efficiency. With the help of membrane fouling monitoring methods, such as transmembrane differential pressure(TMP) measurement, the membrane fouling status can be grasped in real time. Through correlation analysis, it is found that there are complex associations between water quality parameters, sludge characteristics and biological information, which affect the operation of rural MBR membrane treatment stations, providing a comprehensive theoretical basis and data support for the precise control of the operation of the stations, which can help to improve the efficiency and quality of rural wastewater treatment and reduce the operating costs.

The emergence of “digital economy” is both a favorable and unfavorable factor, which brings many opportunities and challenges for the whole banking industry. In recent years, along with the rapid development of digital economy and network technology, the financial industry is experiencing a profound revolution. Selecting the data of 42 commercial banks in China from 2010 to 2021 as a sample, the effect of digital transformation on the business performance of commercial banks was examined from the aspects of profitability and safety respectively, and on this basis, examines whether the effect of digital transformation is heterogeneous. The empirical results show that digital transformation has a significant positive effect on the improvement of commercial banks’ profitability and security, and there is heterogeneity in the effects of digital transformation on commercial banks’ business performance across different types of banks and different regions. Therefore, commercial banks need to clarify their transformation strategies, upgrade their technology systems and realize product innovations to facilitate digital transformation.

The signing of RCEP(Regional Comprehensive Economic Partnership Agreement) provides an important platform for exchanges and mutual learning between Chinese and foreign civilizations, and also provides a valuable opportunity for the export of Chinese cultural products. Based on the data of China to RCEP partner countries from 2009 to 2022 in the United Nations Trade Statistics Database, the method of gravity model was used to study the influencing factors and potential of China’s cultural product export trade to RCEP countries. The results show that the economic scale, population size, and whether the two sides have a common language have a significant positive effect on the growth of China’s cultural product exports. China has great potential for RCEP to carry out export trade of cultural products, and there is still a broad space for cooperation in the future. In order to further lease China's exports of cultural products to its partner countries, China should improve the relevant legal system, optimize the structure of cultural products, and strengthen multilateral cooperation mechanisms with RCEP countries.

Technological innovation leading the construction of a modern industrial system has become a key task at present. As an important component of the modern industrial system, how technological innovation lead the development of future industries has become an important research topic. On the basis of sorting out the concept, content, and characteristics of future industries, the path of technological innovation leading the development of future industries was explored from a theoretical perspective, including strengthening top-level planning and layout, increasing the supply of original scientific and technological innovation achievements, and strengthening the synergy of technological innovation elements. Finally, taking Jiangsu, Beijing, and Shanghai as cases, the practical exploration of promoting future industrial development in three provinces and cities was explored, in order to provide theoretical and practical references for other provinces and cities to promote future industrial development.

In order to study the stability of the geological conditions of the water transmission and power generation system of Qichun pumped storage power station, and selecting the optimal scheme, engineering geological surveying, high-density electrical method, and geostress test were carried out in the engineering area to qualitatively and quantitatively describe the geological conditions of the engineering area. The advantages and disadvantages of multiple schemes of water transmission and power generation systems were analyzed based on the rock and soil stress state. The results showed that the three faults reduced the engineering geological stability of the western route plan, so the eastern route plan was selected. In addition, the stress conditions of both the central and tail underground power plants meet the requirements of engineering geology and hydrogeology. However, the stress distribution of the central power plant is more uniform and there are no fractures that restrict geological stability. Therefore, a better central power plant scheme is selected.

Based on the 151 ancient city sites from the Western Han Dynasty to the Ming and Qing Dynasties in the Hexi Corridor of Gansu Province, GIS(geographic information system) spatial analysis method was used to study the spatial and temporal evolution of ancient city sites and their distribution characteristics in the Hexi Corridor. The results show that the city sites in Zhangye City have the highest distribution numbers, and county-level city sites are the most numerous grade.They are concentrated in Zhangye City, Jiuquan City, and Wuwei City, the distribution of city sites in each period exists certain unevenness and concentration, which is mainly manifested in the Ming and Qing Dynasties, and may be related to the better preservation of the period. Zhangye has experienced multiple periods of high density nucleus of city sites,the directional trend and concentration trend of the distribution orientation of city sites become increasingly obvious with the distribution of time, showing a tendency of “east-southwest-northwest”.

Multi-source heterogeneous geological big data is difficult to ensure accuracy during the structuring process. By constructing a standard stratigraphic system for Nanning basin and using the automatic borehole modeling method of the Nanning Geological Spatial Big Data Analysis System to create a 3D geological model, four factors were considered—engineering geological zoning, age strata, geological genesis types, and lithology—to assist in the rapid cleaning and processing of structured database entries. The results show that discontinuous areas, abrupt change areas, and topological error areas in the 3D geological model can quickly identify issues such as duplicate, abnormal, and missing structured data, effectively improving the speed and accuracy of error identification.

Local urbanization, as an important strategic means to promote the transformation and upgrading of the manufacturing industry and regional coordinated development, not only promotes the rapid growth of the local economy, but also profoundly affects the transfer trend of the manufacturing industry. Aiming to explore the impact of local urbanization on the transfer of China’s manufacturing industry, based on the dual perspectives of output value and labor factors, an indicator system for local urbanization, manufacturing output value transfer, and labor factor transfer was constructed. The local urbanization, manufacturing output value transfer, and labor factor transfer indices of 30 provinces in China from 2013 to 2021 were measured, and the coordination between manufacturing output value and labor factor transfer was calculated. A fixed effects model was used to empirically test the impact of local urbanization on the transfer of China’s manufacturing industry. The results indicate that on-site urbanization can promote the transfer of labor factors in medium tech industries, inhibit the transfer of labor factors in high-tech industries, and have a significant inhibitory effect on the transfer of output value in different types of manufacturing industries. At the same time, on-site urbanization has a significant inhibitory effect on the coordination between output value and labor factor transfer in primary and high-tech industries.

With the advancement of the innovation-driven development strategy, alumni resources, as an important form of social capital, have become a hot topic in both academia and practice concerning how to develop and utilize them effectively. Based on the theory of integrated innovation, a theoretical model for the high-quality development and utilization of alumni resources was constructed, incorporating the six elements of “government, industry, academia, research, application, and resources.” The model aims to explore how policy guidance and multi-agent collaboration can enhance the efficiency of alumni resource utilization. Further, an evolutionary game analysis of the academia-research and industry-application entities under policy-driven conditions was conducted. This reveals the strategic choices between the supply chain and demand chain under the influence of the environmental chain, and the theoretical assumptions are verified through numerical simulation. Finally, three driving paths—policy support, alumni connections, and market orientation—are proposed to provide practical guidance for the high-quality utilization of alumni resources. The long-term effects and risks of the model was discussed, contributing to sustainable economic development and overall social progress.

The geo-economic relationship between China and South Asia is of great significance to its trade development. Using the trade gravity model, the trade data between China and five countries from 2000 to 2022 was selected to analyzes the trade effects of their geo-economic ties. The regression results show that the geo-economic ties between China and South Asian countries have a restraining effect on China’s trade with South Asian countries, while the GDP, geographical distance, electric infrastructure, political stability, government efficiency and rule of law environment have a promoting effect on China’s trade with South Asian countries. Therefore, in the future, on the basis of the “Belt and Road” initiative, China should adjust the structure of import and export commodities to South Asian countries, optimize infrastructure construction, promote economic development, improve national income level, provide policy support, strengthen geo-economic cooperation and trade with South Asian countries, and deepen trade cooperation between China and South Asian countries. It is of great significance to promote regional linkages and development.