The future learning center is a new paradigm for the next generation of learning. Against the backdrop of rapid technological development and educational reform, university libraries are transforming towards the future learning center model to better adapt to the changing times. An in-depth analysis of 160 literature on the research of future learning centers in university libraries in the CNKI database was conducted based on CiteSpace and LDA(latent Dirichlet allocation)topic models. It reveals the current situation, hot issues, and development trends of research on future learning centers in Chinese university libraries, and reference suggestions for the construction of future learning centers in university libraries are proposed, such as unified standards, strengthening publicity, highlighting characteristics, personnel training, and co construction and sharing.

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.

Open innovation is an important support for promoting new models, and has become a hot topic in innovation theory exploration and industrial practice. However, how to focus on the driving forces of open innovation and improve innovation effectiveness still needs to be studied urgently. Taking the “Internet+medical” innovation practice as the case scenario of open innovation, the external and internal drivers of open innovation were explored, an open innovation driver model was built, and open coding, spindle coding and selective coding were used to complete case data coding, and the drivers of “Internet+medical” open innovation, including mechanism innovation, data support, communication technology, institutional guarantee and data guarantee were incorporated, thus confirming the open innovation driver model constructed.

It is a trend to apply L320 and L360 high-strength angle members in ±800kV ultra high voltage(UHV) transmission lines. The current calculation method does not clarify the failure mode of tension member. Due to the quantities of bolts in the connection, each joint needs to be calculated multiple times, which is inconvenient in engineering. The training sets were established through the tests of multi alignment lines plate members and finite element analysis of large-size angles, and a random forest regression(RFR) model was constructed to perform feature analysis on the section reduction factor. The results show that the weight of adjacent alignment line(Δg₁) is too high and for the thickness (t) is low in the current calculation method, which may easily cause significant fluctuations in the results while geometric dimensions of models are changed. The calculation method for section reduction factor is simplified through the optimization of RFR model feature analysis, and the results are stable and more consistent with the FEA models. The predictive model has good generalization ability and could be used in angles with 2 alignment lines in one leg.

Under the background of the national strategy of “mass entrepreneurship and innovation”and“rural revitalization”, it is great important to improve the entrepreneurial competency of college students who return to their hometowns to start a business. The connotation of “competence of college students returning to their hometowns for entrepreneurship” was defined by summarizing and deducing literature on “returning home for entrepreneurship” “college student entrepreneurship” and “entrepreneurial competence”. A competency model for returning college students’entrepreneurship was constructed based on a survey of 304 questionnaires. Finally, an evaluation system of returnee college students’entrepreneurial competence index was constructed, which included four primary indicators, such as entrepreneurial drive, entrepreneurial control, entrepreneurial execution and entrepreneurial personality, as well as 16 corresponding secondary indicators.

It is of great significance to discuss the co-evolution of charging infrastructure and new energy vehicles for the high-quality development of the charging infrastructure industry. The new energy vehicle enterprises were included in the charging infrastructure construction and operation system, and the four-party evolutionary game model was constructed to analyze the equilibrium point. The key factors affecting the evolution were discussed through numerical simulation. With the help of empirical analysis, the role of the construction and development of charging facilities in promoting the consumption of new energy vehicles was verified. It is found that operators need to expand their profitability and improve facility utilization. Consumers are more sensitive to NEV prices and charging losses, and NEV companies should be cautious in setting prices and consider building charging facilities by themselves or co-building with others.

Based on the quasi-natural experimental conditions provided by three batches of smart city pilot policies, and on the basis of comprehensively measuring the resilience level of urban pharmaceutical manufacturing industry, the panel data of 54 prefecture-level cities from 2009 to 2019 was used to explore the impact of smart city pilot construction on the resilience of municipal pharmaceutical manufacturing industry by using multi-period DID (difference in differences) model. The results show that the pilot construction of smart city can significantly promote the resilience of urban pharmaceutical manufacturing industry. Mechanism analysis shows that the pilot construction of smart city promotes the resilience of pharmaceutical manufacturing industry through technological innovation, while the level of information infrastructure construction has a positive moderating effect.

Based on the Big Five personality theory and the technology acceptance model as a theoretical framework, a suitable online reputation system satisfaction scale was designed, and the relationship between personality traits, consumer perception and online reputation system satisfaction was explored. The results show that the higher the neuroticism, the more critical the use of the online reputation system, and the lower the perceived usefulness and perceived ease of use. People with higher openness, friendliness and a sense of responsibility have better perceived usefulness and perceived ease of use when using online reputation systems. Extraversion has no significant effect on the performance of perceived usefulness and perceived ease of use when using online reputation system. Both perceived ease of use and perceived usefulness have a positive impact on users’ satisfaction with the online reputation system.

Taking 202 samples of farmers from Longgang Village and Huoyuan Village in Ganzhou, Jiangxi Province as an example, on the basis of constructing the scale of farmers’ livelihood risk perception and the scale of participation willingness, structural equation modelling was used to analyze the data, and at the same time, basic individual characteristics of farmers were used as the moderating variables to classify the farmers into new and old farmers, and to carry out multi-cohort analyses. The results show that the perception of development risk, production risk and social risk together constitute the perception of livelihood risk of farmers, and all three significantly affect the willingness of farmers to participate, and there is a moderating effect of the basic characteristics of individual farmers on their willingness to participate. Based on this, policy recommendations are proposed to effectively promote sustainable livelihoods for farmers.

To support the emergency decision-making of highway emergency rescue area, the technical process of emergency response to secondary disasters in highway emergency rescue area was established from three aspects, including personnel composition, work flow and equipment. According to the workflow, the implementation steps of 12 h rapid identification of disaster damage stage, 24 h rapid assessment of risk stage and 36 h quantitative assessment of risk stage wae established. Taking the highway rescue after the strong earthquake in Luding on September 5 in 2022 as a typical case, the above process was used to evaluate the disaster situation. The results show that the length of road damage points A and B of landslide at a tunnel entrance in Luding Hailuogou is 181.31 m and 115.26 m respectively, and the width is 9.81 m, and the volume is 4.7 × 104 m³ and 2.6 × 104 m³ respectively. In the rescue of 2# landslide, the length error is 7%, the width error is 4%, and the volume error is 10%.