With the rise of digital economy, the integration of real economy and digital economy has become the key to drive economic growth. Taking Dalian’s retail industry as an example, the current state of development of Dalian’s retail industry under the background of digital economy was discussed. The difficulties encountered in the integration of retail industry and digital economy was analyzed from the perspectives of government and enterprises. Finally specific strategies are put forward to promote the in-depth integration of Dalian’s retail industry and digital economy, in order to promote the transformation and upgrading of Dalian’s retail industry and achieve high-quality economic development.

The aviation material supply chain is an important part of ensuring the normal operation and punctual operation of civilian aircraft. A supply chain stability model based on pulses and uses MATLAB for numerical verification was constructed to explore the role of pulse intensity and occurrence in the stability of the supply chain. The research results show that pulses have a greater impact on supply chains that are not yet stable, and a limited impact on supply chains that are already stable. Appropriate pulses accelerate system adjustments and quickly reach a stable state.

Realizing the coordinated development of the Guangdong Hong Kong Macao Greater Bay Area is one of the important goals of the national “14th Five Year Plan” period. Promoting regional collaborative innovation is an inevitable requirement for the construction of a global scientific and technological innovation center in the Greater Bay Area, which is of great significance for the high-quality development of the scientific and technological industry in the Greater Bay Area.The progress and development status of collaborative innovation in the Guangdong Hong Kong Macao Greater Bay Area was reviewed. In response to issues such as incomplete coordination mechanisms for collaborative innovation, unclear efficiency of collaborative innovation services, and significant differences in industrial development levels, it is recommended to enhance the collaborative innovation effect of the Guangdong Hong Kong Macao Greater Bay Area by improving policy and institutional design, enhancing innovation service efficiency, and strengthening the coordinated development of science and technology industries, Continuously promote the high-quality development of the technology industry in the Guangdong Hong Kong Macao Greater Bay Area.

The data of technology-based small and medium-sized enterprises listed on the A-share GEM and SME board from 2015 to 2022 were selected for empirical testing. It is necessary to test whether the development of science and technology finance can positively promote the improvement of the financing efficiency of science and technology SMEs. It is tested whether the financing efficiency of technology-based SMEs can be promoted by improving the information transparency of enterprises and the ability of scientific and technological innovation. The research is carried out from three aspects: the region, growth and property rights of enterprises, and the difference in the impact of science and technology finance on the financing efficiency of science and technology SMEs is further tested. The results show that the development of science and technology finance can significantly promote the improvement of the financing efficiency of science and technology SMEs.

Government officials, motivated by promotion, have unreasonably pursued the increase in the number of patents. As a result, innovation subjects only pay attention to the increase in the number of patents, ignoring the improvement of patent quality, and thus affecting economic growth. Based on the conflict between administrative incentive and market choice, the deep causes of the malformation of patent structure in China at the theoretical level were analyzed, and the fixed effect model was used for empirical analysis to verify it. It can be concluded that the crude quantitative assessment system leads to inefficient allocation of scientific and technological research resources, and a new assessment system based on quality and quantity must be established in order to completely change the deformed patent structure.

Ground penetrating radar(GPR) is widely used for inspecting the quality of tunnel linings. However, the raw GPR data often cannot be directly interpreted and requires various pre-processing such as denoising, gain adjustment, and image smoothing to observe meaningful information. Considering that GPR data processing is currently predominantly manual, with a complex workflow and subjective parameter selection, an end-to-end data processing method is proposed based on generative adversarial network(GAN) that transforms raw GPR data into images with clear signals. The GAN consists of a series of generators and discriminators at different scales, capable of intelligently recognizing both global and local features of GPR data and automatically performing comprehensive processing operations on the raw data. This method has been successfully applied to the processing of actual GPR data for initial lining quality inspection, achieving results comparable to manual processing and a significantly higher data processing efficiency.

Based on the results of the first national comprehensive natural disaster risk survey in Jiangxi Province, the deep integration of the results of the comprehensive risk assessment zone of the single disaster and the comprehensive risk assessment zone was discussed. Focusing on the prevention and control of natural disasters such as meteorology, floods, droughts, and geology, with Dayu County in Jiangxi Province as the research area,the development of a dynamic management and application analysis research system for the comprehensive risk zone of natural disasters in Jiangxi Province can provide technical support for the county-level “two committees and three departments” decision-making command.

Accelerating digital transformation and promoting the deep integration of digital technology with the real economy are urgent priorities for enterprises. Using listed companies from 2013 to 2023 as the sample, the impact of managerial ownership on corporate digital transformation was investigated. The results indicate that managerial ownership significantly promotes digital transformation within enterprises, and this finding remains robust even when accounting for endogeneity issues. This effect is particularly prominent in state-owned and high-tech enterprises. Mechanism analysis reveals that managerial ownership facilitates digital transformation by strengthening internal controls and curbing managerial short-sightedness.

In order to evaluate the feasibility of the application of drainage asphalt mixture with small particle sized aggregate in the maintenance of ultra-thin asphalt overlay, the rutting test, low-temperature bending test, freeze-thaw split test, Cantabro dispersion test, permeability test and pendulum friction coefficient test were conducted to evaluate the pavement performance and functional property of 8 drainage asphalt pavement composed of 4 kinds of asphalt binder and 2 gradation forms. And it was compared with large particle sized aggregate drainage asphalt mixture (OGFC-13). The results show that the asphalt mixture with PAC-5 gradation is better than OGFC-5 gradation in the form of high and low temperature performance, water stability, skid resistance and drainage performance. But the low temperature performance and water stability is inferior to OGFC-13 mixture. Epoxy asphalt binder is conducive to improve the overall pavement performance of drainage asphalt pavement, however, the functional properties such as drainage and anti-sliding have declined. Meanwhile, due to the expensive cost, SBS-SPT modified asphalt can be used as a substitute. Therefore, considering the results of various performance tests and economic costs, when using PAC-5 gradation, SBS modified asphalt and II modifier, the performance of drainage asphalt mixture with small particle sized aggregate is the best, which is expected to be widely applied to the maintenance of ultra-thin asphalt overlay.

414 high-quality tourist attractions rated above 3A in Gansu Province were selected as research samples. Utilizing methods such as the nearest neighbor index and geographic concentration index kernel density, the spatial distribution characteristics and influencing factors of high-quality tourist sites in Gansu Province were explored. The final results show the overall spatial distribution of high-quality tourist attractions in Gansu Province is relatively concentrated, with high-quality attractions in regions including Hexi, Longzhong, and Longdong showing an aggregated distribution type.The overall distribution of high-quality attractions in Gansu Province presents an uneven state. At the regional level, high-quality attractions are mainly concentrated in the Hexi and southeastern Longdong areas; at the city level, they are primarily concentrated in Jiuquan, Zhangye, and Longnan.There are certain differences in the spatial distribution density of high-quality attractions in Gansu Province. A distribution pattern of “two cores, two belts, and multiple points” has formed across Gansu Province. At the regional level, high-quality attractions in the Hexi area have formed a multi-core spatial structure decreasing outward; high-quality attractions in Longzhong and ethnic regions exhibit a single-core distribution pattern with gradient diffusion outward,the southeastern and eastern Longdong areas do not show a high-density core area, with kernel density values decreasing from Tianshui and Qingyang outward. The spatial distribution pattern of high-quality attractions in Gansu Province has been formed under the combined effect of natural environment and socioeconomic factors.