In order to optimize patent services, the current situation and trend of global construction machinery patents were deeply analyzed, and the relationship between technological innovation and market demand was revealed. Based on the incoPa patent database, the patent data of global construction machinery since 1914 was searched. After denoising and cleaning the search results, the patent information of global construction machinery industry was analyzed from the aspects of application trend, regional market layout, technology flow, patent family number and its technical value, and the situation of foreign patent application in China. It is found that the number of patent applications for construction machinery in the world tends to increase steadily. Technological innovation and market demand promote the technological breakthrough of global construction machinery. China and Japan have obvious advantages, and Japan leads in the number of simple family patents.Enterprises with advanced patent technology of construction machinery in various countries have gradually realized their layout in various regions of the world. In the future, China needs to strengthen investment in high-end technology R&D, enhance innovation ability and deepen international cooperation, so as to boost technological innovation and rapid development of construction machinery industry.

To analyze the current situation and hotspots of the development of the Chinese herbal medicine industry in China, and provide reference for the research on high-quality development of the Chinese herbal medicine industry, using “Chinese herbal medicine industry” as the keyword, search for relevant literature on the Chinese herbal medicine industry included in the CNKI database of CNKI as a sample, and use CiteSpace visualization analysis to perform graph analysis on the paper. A total of 129 research articles were retrieved from CNKI from January 2000 to December 2023 for analysis. The keywords of the research articles mainly focused on traditional Chinese medicine, ecological planting, industrial agglomeration and informatization. The research hotspots mainly focused on the ecological planting, industrial agglomeration, informatization and traceability system of the traditional Chinese medicine industry. According to the knowledge spectrum and analysis of hot literature, the current research hotspots in the traditional Chinese medicine industry are related to the introduction, guidance and implementation of policies, and have stages. Scholars often use qualitative descriptive analysis as a research method; The ecological cultivation of traditional Chinese medicine, the agglomeration of the entire industry, and the traceability system should be an important research direction in the future.

Due to the lack of sufficient interaction support, the recommendation accuracy is poor. To address this, a sparse data collaborative filtering recommendation algorithm based on knowledge graph was proposed. Extract the interaction relationship between users and items, a knowledge graph was constructed, and the entity relationships in the knowledge graph was used to extend the representation of users and items. Combining CNN networks, interactive relationships was expanded into complex structures, contextual information was captured, and similarity using Euclidean distance was calculate. A set of similar neighbors was found for the target user, user collaboration filtering was used to predict ratings, the fusion time weighting strategy was dynamically adjusted, and a recommendation list was generated. Tests have shown that the algorithm has high NDCG values, low MAE and RMSE values, and ideal recommendation performance.

In recent years, standard essential patents (SEPs) have garnered widespread attention. The potential future competitive risks associated with SEPs was preemptively assessed to provide a reference for industrial and enterprise development. First, the metrological characteristics of SEPs are summarized. Then, patents families were analyzed from 2014 to 2023 that at least an application in the family was granted by one of the five major Patent offices (IP5 offices), key innovative entities and key technological fields were identified in the study. The research finds that SEPs are characterized by concentration among holders, large family sizes, a large number of claims, and high citation frequencies. The main competition for SEPs in the coming period will still be concentrated in the electronics and communications fields. Furthermore, with the development of the Internet of Things era, various application scenarios related fields may also become battlegrounds for SEP competition, which should be monitored closely and appropriate risk prevention measures taken.

Major science and technology projects enlisting and leading, as a new organizational and management approach to tackling key core technologies, is gradually becoming an important mechanism for promoting technological innovation and stimulating industrial vitality. The concept of the major science and technology projects enlisting and leading was firstly explained. Then, using the practice of Zhejiang’s major science and technology projects as a typical case, the top-level design, operational models and key initiatives were reviewed. Finally, suggestions such as strengthening the top-level design in multiple dimensions are summarized and put forward from the perspective of integration and innovation, deepening the application of horse racing mode and reward mode, and mobilizing the enthusiasm of leading backbone enterprises and other diversified innovation subjects, so as to ensure the effective implementation of major science and technology projects enlisting and leading, which can provide reference for optimizing the establishment, organization and management of major scientific and technological projects and improving the efficiency of scientific research organizations.

As one of the sectors most sensitive to climate change, agricultural production activities are deeply affected by the negative impacts of environmental degradation. The implementation of “carbon peaking” and “carbon neutrality” policies will inevitably affect agricultural production methods and export trade. The impact of carbon emission reduction policies on agricultural exports was studied by selecting HS four-digit agricultural products from 2000 to 2021, using the Difference-in-Differences (DID) method for empirical analysis, and the mechanism of how carbon emission reduction policies affect agricultural export growth was explored. The research findings are as follows. The implementation of carbon emission reduction policies promotes agricultural export growth. In terms of heterogeneity, the implementation of carbon emission reduction policies has a relatively significant impact on the exports of grain and oil products, while the impact on meat exports is slightly smaller. In terms of moderating effects, labor, government support for agriculture, and climate change all play a positive role in promoting agricultural export growth through carbon emission reduction policies. Based on these conclusions, insights and suggestions are provided for the changes in China’s agricultural exports in the global agricultural market under the “dual carbon” goals.

Based on the deep cutting landslide treatment project in Caixi Township, PLAXIS 3D was used to establish a slope model with complex cracks under rainfall conditions, and the existence of cracks and the slope deformation stability under different fissure depths were analyzed. The result shows that the sliding surface of the slope changes significantly with increasing fissure depth. When the crack depth is close to the potential sliding surface, the crack divides the landslide into two separate parts, one is the crack surface itself and the other is the original sliding surface below the crack. This segmentation effect leads in a significant reduction in the slope stability. It is further found that there is a threshold effect between the crack depth and the slope stability, that is, the slope stability does not change much before the crack depth reaches a certain critical value. When the crack depth exceeds this critical value, the slope stability will decrease sharply. It reveals the influence mechanism of fissure on slope stability, in order to provide a scientific basis for slope engineering design, disaster prevention and treatment.

Aiming to explore the influence of different dosages of SBS modifier on the indicators of modified asphalt, through testing the three major indicators, elastic recovery and post-aging indicators of SBS modified asphalt with different dosages, as well as the viscosity and rutting factor of SBS modified asphalt with different dosages at different temperatures, the impact of SBS modifier dosage on the indicators of modified asphalt was analyzed to provide a theoretical basis for the optimized design and application of modified asphalt. The experimental results show that with the increase of SBS dosage, the three major indicators, elastic recovery and ductility of modified asphalt exhibit different changing patterns. The viscosity of modified asphalt first increases significantly and then increases slowly, and the viscosity of modified asphalt reaches the optimum under an appropriate dosage. The rutting factor increases with the increase of SBS modifier dosage, but when the SBS dosage reaches a certain proportion, the rutting factor only increases slightly. This indicates that the pavement performance of modified asphalt does not continuously improve with the increase of modifier dosage. When the modifier dosage increases to a certain extent, the performance of some indicators may reach a peak or decline.

Under the background of a new development pattern, based on the five dimensions of innovation driven, digital economy, industrial transformation, green development and open development, select the relevant data of 41 urban agglomerations in the Yangtze River Delta from 2011 to 2020.Through cluster analysis and visualization, reflecting the development level of new economic drivers in urban agglomerations from different dimensions, and then a panel data model was constructed, taking per capital GDP as the explanatory variable and the level of new economic drivers as the explanatory variable, to explore the marginal impact of new economic momentum on economic growth in the Yangtze River Delta region. Finally, some constructive suggestions are put forward from the perspective of high-quality regional economic development.

With high-quality development of economy, green innovation has emerged as a crucial driving force for fostering sustainable and healthy economic growth. Digital industry agglomeration can promote the agglomeration of factor resources and industrial transformation and upgrading, thereby enhancing regional green innovation efficiency. Based on the panel data of 30 provinces(due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province)from 2012 to 2021, the Super-SBM model and location entropy were used to measure the evaluation indicators of green innovation efficiency and digital industry agglomeration, subsequently, the effects and mechanism of digital industry agglomeration on green innovation efficiency were examined. The results indicate that digital industry agglomeration contributes to the enhancement of regional green innovation efficiency. Due to the differences in geographical location and technology input level, the enhancement effect of digital industry agglomeration on regional green innovation efficiency is more significant in the eastern region and high-tech input provinces. Mechanism analysis shows that digital industry agglomeration can improve regional green innovation efficiency by promoting the upgrading of industrial structure. In view of this, each province should actively promote the development of digital industry clusters, scientifically formulate differentiated digital industry development strategies and promote the upgrading of industrial structure, so as to help the steady improvement of regional green innovation efficiency.