Tourist comments about Xinghua Village and Town on mainstream tourism websites were collected through the internet, and ROST Content Mining software was used to analyze the word frequency, semantic network and emotion of tourist comment texts. It is concluded that tourists are relatively satisfied with the tourism environment and distinctive culture of the entire scenic area, but there are also dissatisfaction evaluations on management, service facilities and service quality. Therefore, Xinghua Village and Town should strengthen service management level, improve infrastructure construction, innovate liquor cultural products, increase publicity efforts, and improve the overall image of the characteristic town, so as to further enhance the tourist experience, attract more tourists, and create another well-known brand in Shanxi.

With the development of economic level, the agricultural industrial structure is also constantly adjusted. Based on the time series data of Guizhou Province from 1988 to 2022, the function of agricultural output value was constructed, and the vector autoregressive (VAR) model and the autoregressive distributed lag (ARDL) model were used to analyze the correlation of planting industry, forestry industry, animal husbandry industry and fishery industry in the total value of agricultural industry in Guizhou Province. The empirical results show that planting and animal husbandry are the main driving forces of the total agricultural output value in Guizhou province, while forestry and fishery have little influence. It is suggested to focus on optimizing the development strategy of planting and animal husbandry, and promoting sustainable agricultural practices and ecological breeding modes, adjusting forestry development strategy, balancing short-term economic benefits and long-term ecological benefits, developing understory economy. The fishery industry should develop steadily and promote fine breeding and ecological breeding technology. At the same time, all industries should strengthen industrial coordination and the government should formulate differentiated policy support to give full play to the advantages of all industries, improve production efficiency and promote the sustainable and stable growth of the total agricultural output value.

The TRIZ innovation method was used to predict the technological maturity of China’s lithium-ion industry, and to analyze the status and distribution of patents in the lithium-ion battery industry in Henan Province in China. It is found that China’s lithium-ion battery industry has entered a mature stage of maximum profitability. The output of lithium-ion battery industry in Henan Province ranks among the top in China. The number of patent applications ranks above average in China, with the number of patent applications for electrolyte and battery recovery subsystems ranking among the top in China. The patent value is lower than the national average. The lithium-ion battery industry is mainly distributed in four cities, such as Xinxiang, Zhengzhou, Luoyang and Jiaozuo. Compared with the distribution of cities in 2014, the industrial concentration of lithium-ion battery patent applications in Henan Province in 2023 shows a trend of dispersion. Four suggestions are proposed, including supporting continuous innovation in the advantageous fields of lithium-ion batteries in Henan Province, encouraging cooperation between lithium-ion battery enterprises in Henan Province and leading lithium-ion battery enterprises in China, implementing a strategy of overtaking in the curve, and building China’s lithium-ion battery recycling capital.

Industrial upgrading and employment are important for the high-quality development of county economies. The coupled coordination model was used to evaluate the spatio-temporal pattern of the coupled coordination of industrial upgrading and employment in the counties of Chengdu-Chongqing economic circle from 2013 to 2019, and to identify the main obstacles to their coordinated development. It is found that the level of industrial upgrading and employment in the county grows significantly, and the degree of coupling coordination continues to increase, but there are significant regional differences, forming a spatial pattern of “core-edge” and “Administrative Regional Economy”. The obstacle factors restricting the coordinated development of the two are different at different spatial and temporal scales, among which industrial efficiency, employment quantity and its constituent factors are the main obstacle factors.

Zhangjiang Science City is the core carrying area of building a global innovation center in Shanghai. In 2022, the Zhangjiang Science City expanded to 220 square kilometers, its spatial resources increase, while also facing higher demands on functional collaboration and industrial clusters linkage. After the expansion, the original town-level industrial parks within and around the Science City have become important carrying space for innovative industrial clusters. Under the overall innovation system of Zhangjiang, the direction and key elements of town-level parks transformation have to be clarified. Based on town-level parks’ development and main bottlenecks in today, transformation response are proposed. With the case study of Pudong Zhoupu Smart Park’s transformation into industrial communities, strategies are proposed from the aspects of space, industry, service, to explore the form of industrial communities that contribute to the cultivation of industrial and talent innovation ecology.

In recent years, Hubei Province has formed a good situation of increasing the scale of basic research funding, orderly management of basic research funding and increasing ways of basic research funding. However, comparing with the current situation of basic research funding in other provinces and cities in China, it can be found that Hubei Province still has some problems, such as relatively single source of basic research funding, relatively small scale of basic research financial funding, relatively strong administrative color of natural science fund management, and relatively lagging digital construction of basic research funding platform. It needs to create a social environment conducive for Hubei Province to diversified funding of basic research, increase financial support for basic research, improve the management mode of local natural science funds, accelerate the digitization of basic research funding platform, strengthen the construction of regional basic research funding system through various means, and provide regional governance programs for achieving high-level scientific and technological self-reliance.

Focusing on Mianyang City’s Fucheng District as its primary research area, GIS techniques alongside related spatial analysis methods were used to examine both distributive traits within local residential spaces while also investigating their principal influential elements. Findings indicate that housing patterns within Fucheng district exhibit distinct clustering tendencies with all spatial autocorrelation indices surpassing anticipated values primarily manifesting three prominent clustering features-HH,LH,and LL.The topography,slope,and accessibility significantly influence housing distributions predominantly concentrated within an elevation band ranging from 450 m to 550 m, a slope gradient between 0°and 10°and located within 500 meters from roads. The approach employed herein offers comprehensive insights given our focus on a prototypical suburban hilly terrain thereby possessing substantial scholarly merit along with practical implications. This quantitative inquiry into relationships between housing distributions within Fugqing district & their influential determinants provides enhanced clarity regarding local residential spaces patterns facilitating deeper comprehension concerning mechanisms governing such distributions. Our methodology may serve as valuable reference for analogous studies conducted across comparable hilly terrains while our findings could potentially inform future land-use planning decisions.

In order to explore the cause and mechanism of water damage on asphalt pavement, the finite element software ABAQUS was used, combined with the pavement structure combination of Yinzhou Lake Expressway in Guangdong Province, and based on the seepage theory, the finite element models under the three working conditions of conventional water concentration field, actual non-uniform water concentration field and comprehensive consideration of actual non-uniform water concentration field and saturated liquid water were established respectively. The mechanical response of pavement under different working conditions was analyzed. The results show that the actual presence of non-uniform water vapor concentration field increases the cracking risk of the upper layer. With the intervention of liquid water caused by rainfall, the surface layer is in the alternating positive and negative pore water pressure, repeatedly scour the fatigue cracking site, further accelerating the stripping of asphalt and aggregate, and finally leading to water damage related diseases. The upper layer is subjected to the most serious void water pressure. Emphasis should be placed on enhancing the water damage resistance of the upper layer.

Combining the design and construction case of the Guangzhou Shiyongxi Road Pipe Jacking Project, the principle and key technical points of the municipal drainage engineering pipe jacking construction process were introduced, including the principle of the jacking process, the essentials of jacking construction under different soil conditions, measurement techniques during the pipe jacking process, correction methods during the pipe jacking process, and control points. The monitoring results from the actual project indicate that the maximum cumulative surface settlement is only 6.5 mm, with a maximum rate of surface settlement at 1.2 mm/d. This verifies that by adopting corresponding measures and strictly implementing measurement and correction techniques, it is possible to adapt to geological changes, ensuring the safety and reliability of pipe jacking construction under complex geological conditions.

With the development of artificial intelligence technology, virtual spokespersons have become a new trend in brand marketing. The interaction between virtual spokesperson type (companion-type vs. servant-type) and brand personality (excitement vs. sincerity) were explored, and the mediating role of processing fluency was examined. It is found that the matching of virtual spokesperson type and brand personality can significantly enhance consumers’ purchase intention. Among them, processing fluency significantly affects consumers’ acceptance of advertisements and purchase behavior. It is provided empirical support for brands in choosing virtual spokesperson strategies, and theoretical support and practical guidance are provided for brand marketing in the digital era.