In order to understand the influence of researchers’ academic grit on innovation performance, Yuan Longping, the father of hybrid rice, was taken as the research object. Using grounded theory, the biographical data and interview data were coded and analyzed. It is found that academic grit includes a two-dimensional structure, namely, consistent goals and sustained effort. Both dimensions have a positive impact on innovation performance. Courage, psychological capital, social support system, and interest are correlated with grit quality and innovation performance. Therefore, it is recommended to take the cultivation of academic grit of researchers seriously to enhance their psychological “innovation endogenous force”.

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.

Proof of concept is an important link in the long chain of transformation of scientific and technological achievements. At present, the proof-of-concept center is being supported by more and more regions in China to open up the “first mile” of the transformation of scientific and technological achievements into industrialization. However, as a new innovation carrier, the construction of the PoC Center is facing many problems and challenges. On the basis of investigating multiple proof-of-concept center across the country, the exploration practices of different regions were sorted, and the current development characteristics, beneficial experiences and existing problems were summarized. It aims to provide reference and guidance for the country and regions to support and promote the proof-of-concept center better, in order to accelerate the transformation of scientific and technological achievements, and cultivate and develop new quality productivity.

Implementing the strategy of Rural Revitalization is an inevitable choice to solve the main social contradictions. Under the background of new urbanization, promoting the comprehensive revitalization of the countryside must be based on the countryside, but it cannot be confined to the countryside, it needs to find a more integrated regional space as an effective carrier and an important fulcrum. Because of its special status and unique functions of towns and villages, industry and agriculture, citizens and farmers, county could be used as a basic unit to effectively implement the strategy of rural revitalization and promote the integration of urban and rural development. By promoting the integration of industries with agriculture as the main body, improving public services with rural areas as the main body, and building rural development with farmers as the main part, it is expected to be helpful to explore the comprehensive revitalization of rural areas under the background of new urbanization in counties.

To analyze the scientific research performance of science, engineering and medicine interdisciplinary projects in a hospital from 2018 to 2020, and to provide reference for optimizing the management of these projects,the evaluation index system was constructed based on the input-output data, and the data envelopment analysis (DEA) BCC model was used to measure its comprehensive efficiency, pure technical efficiency and scale efficiency. From 2018 to 2020, the average comprehensive efficiency of New Medicine Joint Fund exceedes 0.5, and the effective proportion of DEA fluctuates around 25%. In 2018, 2019 and 2020, the effective proportion of DEA for cultivation projects is 15.6%, 22.97%, and 31.91% respectively. The effective proportion of DEA for innovation team projects is 100% in 2018, and 0 in 2019 and 2020. The effective proportion of DEA for important direction projects is 66.67%, 28.57%, and 37.5% respectively. 1 (25%) innovation team project and 5 (23.81%) important direction projects have redundant research funding. 3 (75%) innovation team projects, 12 (57.14%) important direction projects and 125 (75.3%) cultivation project have insufficient output. The overall scientific research efficiency of the Fund is on the rise, and the whole process management can be optimized by dynamically adjusting the project deployment, focusing on the cultivation of young talents, building the multidisciplinary cross-project platforms and mechanisms, optimizing the appraisal and evaluation system, and focusing on the transformation and application of the achievements, and other initiatives.

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.

With the rapid development of the aviation industry, the service environment for aircraft has become increasingly harsh, and the demand for surface performance is higher than ever. Spraying is an important method to enhance properties such as corrosion resistance and oxidation resistance, and it is widely used in the aviation field. Compared to traditional manual spraying methods, automated spraying robots offer several advantages, including high precision, high efficiency, and consistent thickness, playing a more and more important role in the preparation of surface coatings for aircraft skins and engine components. The current application status and research progress of automated spraying technology in the aviation field were briefly described, and on this basis, the main technical challenges and future development trends were discussed.

An evaluation method was proposed based on combination assignment-objective element topable model. Firstly, the G1 method and entropy weight method were used to subjectively and objectively assign weights to the evaluation indicators, and the Lagrange multiplier method was applied to find the combination weights, which ensured the unity of the weights subjectively and objectively. As the qualitative index data was difficult to be calculated by the evaluation research, which affected the accuracy of the evaluation results to a certain extent, therefore, the object element topable model was introduced, and the topable set was token as a mathematical tool to realize the quantitative evaluation calculation and ensure the objectivity and accuracy of the evaluation results. Finally, the validity and practicability of the method is verified through the analysis of examples.

To effectively address issues such as difficulties in material dispatching caused by emergencies, it is necessary to select the location for an emergency material reserve depot in H Province. Through literature analysis and expert interviews, a total of 14 secondary indicators was constructed across five categories, including natural factors, economic factors, and policy factors, among others. A hierarchical analysis method was used to determine the weights of these indicators, while a cloud model was employed to calculate the cloud parameters for different candidate locations. The results indicate that economic and natural factors carry greater weight within the evaluation system. Among the three candidate sites, Site Q has the highest evaluation rating and is thus considered the optimal location for the emergency material reserve depot. This conclusion offers decision-makers a solid scientific foundation for selecting an optimal location.

Constructing a comprehensive evaluation index system for the level of new quality productivity in the Yellow River Basin, using the hierarchical vertical and horizontal grading method and the TOWA-GA mixed operator to dynamically measure the level of new quality productivity in 9 provinces in the basin from 2013 to 2022, and exploring the spatiotemporal evolution characteristics of the level of new quality productivity in the Yellow River Basin using kernel density estimation, Markov chain, Dagum Gini coefficient, and Moran index. The research results indicate that the overall level of new quality productivity in the Yellow River Basin has significantly increased; In the next year, there is a high probability that the level of new quality productivity in 9 provinces will remain unchanged; There are significant differences and spatial positive correlations in the level of new quality productivity between regions, showing heterogeneity, imbalance, and clustering limitations in spatial distribution.