Taking the distribution of medical institutions in the main urban area of Fuzhou City as the research object, the medical resources in the main urban area were divided into five categories, based on the Point of Interest(POI) data of various medical resources, and using geospatial analysis methods such as kernel density estimation, standard deviation ellipse and geographic detector, the spatial pattern and influencing factors of medical resources in the main urban area of Fuzhou City were analyzed. The conclusions are as follows. The medical resources in the main urban area of Fuzhou are significantly clustered, with the strongest clustering effect in healthcare; At the same time, the distribution of medical resources in the central urban area is uneven, with an overall trend of northwest southeast, and there are significantly fewer medical resources at the boundaries of the urban area. The overall center of medical resources in Fuzhou urban area shifted from that of various types of centers, and there were differences in the degree of center deviation in different medical institutions, and the direction of clinics was the most significant. The spatial heterogeneity of the number of medical institutions in the main urban area is affected by factors such as economy, population, and government support, among which the proportion of the population aged 15~59, 60 and above, and the proportion of government health expenditure have the greatest impact. The distribution of medical resources in Fuzhou is affected by the interaction of multiple factors, and the interaction of each driving factor has a more significant driving effect on the spatial differentiation of resource quantity.

In recent years, live broadcasting, as an emerging brand promotion method, has been widely used in news, legal, medical and other industries. Tobacco and other advertising-restricted industries have made a lot of exploration for the application of live broadcast technology in brand promotion and marketing. Two common live broadcasting solutions were analyzed and compared, an enterprise intranet live broadcasting solution was proposed based on collaborative mechanism, focusing on the design, development and application of the multi-point collaborative live interactive management system.

A multi-objective hybrid optimization algorithm framework was proposed for the vehicle routing problem with time windows (VRPTW) at airport terminals, based on genetic algorithm (GA), simulated annealing (SA) and adaptive large neighborhood search (ALNS). Aiming to minimize both vehicle dispatch costs and time window penalty costs, the impact of resource sharing at cargo centers was considered. Through the use of K-means clustering, simulated annealing for optimizing the order of site visits, and genetic algorithm for classifying freight point cargo levels, the algorithm efficiently solving the problem was achieved. Experimental results show that the algorithm reduces the total cost of the cargo center by 12.46%, demonstrating the effectiveness and practicality of the model.

Based on the characteristics of strategic emerging industries and high-quality development,an evaluation index system was constructed, and China’s provincial panel data from 2013 to 2022 was selected. Firstly, the entropy weight TOPSIS(technique for order preference by similarity to ideal solution) method was used to measure the level of high-quality development of strategic emerging industries, and analyze their regional differences and dynamic evolution characteristics. Then, the Moran index was used to test spatial correlation. Finally, a spatial econometric model was used to explore the relevant factors in depth. It is found that the overall high-quality development level of strategic emerging industries in China shows a steady upward trend, but there is a clear regional imbalance, roughly showing a high in the east and low in the west. There is a positive spatial correlation of the industries in China, and the overall spatial distribution shows a clustering trend of “high-high” and “low-low”. The explanatory variables of technological innovation, economic development level, investment and construction, human capital, and openness have a significant positive effect on the improvement of the high-quality development level of the industries. Based on research findings, rational suggestions are proposed to enhance the competitiveness of strategic emerging industries and provide strong industrial support for the development of new quality productivity.

High energy-consuming industries serve is a critical pillar of the national economy. Meanwhile, it is a primary source of energy consumption and environmental impact. Resource conservation and environmental protection have always been pivotal topics throughout China’s economic development process, playing a crucial role in advancing the sustainable development of Inner Mongolia’s energy bases. A theoretical framework for ecological efficiency within high energy-consuming industries in Inner Mongolia was constructed, and an ecological efficiency indicator system was established, in order to lay the groundwork for the transformation and development of Inner Mongolia’s high energy-consuming industries. The goal is to guide these industries toward more efficient resource utilization and environmentally friendly operations, thereby fostering a harmonious coexistence among the economy, society, and the environment in Inner Mongolia, and achieving sustainable development objectives.

In order to achieve innovation-driven development, county is the bias and vitality, but which is difficulty. Based on the monitoring and evaluation data of science and technology innovation of counties in Hebei Province from 2020 to 2021, the spatial econometrics method was used to study the spatial distribution characteristics, spatial aggregation and spatial spillover effect of science and technology innovation. The results show that the northwest region of Hebei is the lagging cluster area of scientific and technological innovation, while the central and eastern region adjacent to Beijing and Tianjin is the developed cluster area, which presenting the spatial pattern of “collapse in the northwest and rise in the central and eastern regions”. From the perspective of spillover effect, county science and technology innovation-economic development, county science and technology innovation input-county science and technology innovation output have spatial spillover effect.

An evaluation index system for agricultural science and technology (S&T) innovation capacity and agricultural high-quality development was constructed using the entropy method. By integrating these indices with a binary system coupling coordination degree model, the coupling degree and coupling coordination degree for provincial-level administrative regions from 2010 to 2020 were calculated. It is found that the agricultural S&T innovation capacity and the comprehensive index of agricultural high-quality development have shown a significant upward trend since 2010, reflecting the thorough implementation of the innovation-driven development strategy in the agricultural sector. The comprehensive index of agricultural high-quality development displays a distinct regional hierarchy: east > central > west > northeast. The eastern region leads in agricultural S&T innovation capacity, followed by the central and northeastern regions, with the western region showing relatively weaker innovation capacity. While the interaction between agricultural S&T innovation capacity and agricultural high-quality development is strong, the depth of this positive interaction remains limited. The system coupling degree has gradually increased and is nearing 1, indicating more frequent interactions between the two systems. However, the coupling coordination degree is significantly lower than the coupling degree, suggesting that the positive interactions between the systems are insufficient, and the potential synergies between them have not been fully realized. In response, several policy recommendations are proposed, including accelerating new quality agricultural productivity, improving the institutional mechanisms for agricultural S&T innovation, capitalizing on the advantages of the burgeoning digital technology sector, and advancing the development of smart agriculture.

With the development of information technology, it has become common for employees to use electronic devices to handle work affairs during non working hours(work connectivity behavior after-hours), and the reaction of employees to this behavior is still uncertain. Therefore, based on the theory of resource conservation, the impact of work connectivity behavior after-hours of employees on workplace deception behavior was explored. Through data analysis of 307 employees, it is found that work connectivity behavior after-hours has a positive impact on employee workplace deception behavior.Job burnout has a mediating effect between work connectivity behavior after-hours and employee workplace deception behavior.Organizational support has a negative moderating effect on the relationship between work connectivity behavior after-hours and job burnout. These conclusions not only expand the research field of employee workplace deceptive behavior, but also provide useful suggestions for organizations to suppress workplace deceptive behavior.

Changzhou has a complete manufacturing industry system and over 60 000 industrial enterprises. Against the backdrop of increasingly complex and challenging domestic and international economic environments, small and medium-sized manufacturing enterprises in Changzhou are facing various difficulties and challenges in their production and operation. It is necessary to take technological innovation as the guide, actively implement the “Intelligent transformation digital transformation networked connectivity”, and plan ahead for digital infrastructure construction. Combining “external introduction” and “internal education” to build a service provider resource pool,and serve enterprises in cloud computing, data utilization, diagnosis, and intelligence. Create an industrial ecological service circle, combine “point line and surface”, demonstrate and lead, and take various measures to create a typical integration of data and reality. Cultivate new quality and productivity of Changzhou’s manufacturing industry, and build a modern industrial system with advanced intelligent manufacturing industry as the backbone, in order to further promote the high-quality development of Changzhou’s manufacturing industry.

The Huanglan coal mining area is the most threatened mining area in Hunan Province by water hazards, which seriously affects the sustainable development of the local coal industry. Accurate detection of hidden water hazards can effectively reduce the probability of hidden dangers, and exploring more efficient technical methods and using high-precision detection instruments are effective ways to solve this problem. Multi-polarized magnetotelluric technology (MPMT) measures electric field polarization at different polar distances at a common center point to obtain Kania resistivity at different polar distances, thereby obtaining more dimensional electric field data, local anomalies, and background data, which can more efficiently meet the needs of geological body detection in complex geological environments. According to the hydrogeological conditions of the Huanglan mining area, the multi-polarized magnetotelluric method was used to carry out work, analyze its application effect and electrical properties of the mining area, and prove the effectiveness of the method through known water body experiments and apply it to the whole area of water hazard exploration. The comparison between the interpretation results and the actual excavation conditions of later tunnels proves the accuracy of the method, providing a scientific basis for the design of drainage tunnels, drainage measures, and safety prevention of groundwater in the Huanglan mining area.