Promoting design driven product innovation is currently an important measure for enterprises to enhance product competitiveness. Therefore, based on the theory of cue utilization, the intrinsic mechanism and boundary conditions of design driven product innovation on consumer purchase intention were explored. The research results indicate that aesthetics, functionality, and symbolism all have a significant positive impact on consumer purchase intention, and psychological ownership plays a mediating role between the aesthetics, functionality, and symbolism dimensions of design driven product innovation and purchase intention. In addition, brand trust can positively regulate the relationship between aesthetic and functional dimensions and psychological ownership.

Personal data is one of the most valuable segments of data and is also the most crucial resource for enterprises to create economic value. The circulation of personal data can unleash its immense potential. However, internet companies are prone to improper trading behaviors in personal data transactions, such as over-collecting personal data,inadequate data desensitization, deviation from the principles of fairness and integrity in contracts, and formalistic informed consent rules. To address these issues, regulatory measures should be implemented through the formulation of model user license agreements, the improvement of data desensitization rules, the clarification of protection obligations for internet companies, the establishment of industry self-regulatory mechanisms, and the enhancement of compliance with informed consent rules.

Under the background of global climate change and the “dual carbon” goal, the oil and gas field industry is facing a dual challenge of stabilizing oil and gas production and controlling emissions to reduce carbon emissions. In recent years, Zhongyuan Oilfield has vigorously developed new energy, with the Pusan Transfer Station as a pilot for new energy substitution. Combining the resources and energy consumption characteristics of the transfer station, the oilfield has fully utilized the waste heat resources and solar energy resources of the produced water in this area, forming a “waste heat+photovoltaic” multi energy comprehensive utilization technology, providing a clean, low-carbon and stable heat source for the transfer station. After the implementation of the project, the annual natural gas consumption has been reduced by 1.6 million cubic meters, saving 1 864 tons of standard coal annually and reducing 3 392 tons of carbon dioxide annually, achieving good economic and social benefits. It has been promoted and implemented at various transfer stations in the oilfield, laying the foundation for achieving green and low-carbon development of the oilfield.

To enhance the accuracy of customer churn prediction, an improved Stacking ensemble learning method with Bayesian optimization(BO) incorporated was introduced. First, base learners were selected based on their predictive performance and inter-model correlations. Noticing the fact that the performance variation among base learners was neglected in the traditional Stacking methods, the Bayesian optimization was introduced to fine-tune the weights of each base learner for minimizing prediction errors. Finally, the weighted predictions from the base learners were combined, and the Logistic Regression serves as the meta-learner for the final prediction. The results demonstrate that the proposed BO-Stacking model outperforms both the single models and the traditional Stacking methods in terms of recall rate, F1-score, and AUC(area under the curve) value, which validates the effectiveness of the proposed approach. This provides a reliable reference for enterprises to develop effective customer retention strategies.

To promote the digitization of standards in the field of construction engineering in China, the patterns of construction engineering standards and text structures were summarized, the process of knowledge graph construction was elaborated, and both manual and natural language processing techniques were applied to build a knowledge graph in the domain of construction engineering standards. Through practical case applications of the standards, it is verified that the knowledge graph in the field of construction engineering standards exhibits good usability in structured representation, extraction, and retrieval of relevant knowledge. The constructed knowledge graph can effectively structure and represent standard knowledge in the field of construction engineering.

China is in the stage of stock renewal and ecological civilization construction, and the renewal and optimization of urban waterfront space plays an important role. The CiteSpace metrology software was used to visually and quantitatively analyze 443 representative literatures in the research field of “waterfront space renewal”“waterfront redevelopment”“waterfront vitality” in Chinese National Knowledge Infrastructure(CNKI) database. The current research hotspot and trend of waterfront space were clarified. Based on this, the renewal path of urban waterfront space was briefly discussed from four aspects: “public”(serving the people), “garden”(conserving ecology), “city”(beautifying life), “municipality”(low-carbon and high-quality development).

With the rapid development of science and technology, the cooperation model in which multiple enterprises fund scientific research projects in the form of innovation alliances has gradually become normalized. Focusing on the problem of achievement rights and interests distribution encountered when multiple enterprises jointly fund a project portfolio, the contributions of funders were comprehensively considered in four aspects: funding amount, management contribution, research contribution, and transformation contribution. Using the fuzzy DEMATEL(decision-making trial and evaluation laboratory)-improved Shapley value method, a distribution strategy for achievement rights and interests is proposed. This provides a solution that is fair, scientific, and practical for the distribution of patent rights in multi-party jointly funded project portfolios. Through case analysis, it is confirmed that the distribution results obtained by this method are more reasonable, offering an effective approach to solving the problem of achievement distribution in multi-party funded project portfolios.

Policy oriented agricultural insurance is an important tool to reduce agricultural risks and protect farmers’ income. Since the establishment of the policy oriented agricultural insurance system in Beijing in 2007, through the policy of “raising the standard and expanding the coverage of additional products”, the full cost insurance of wheat and corn has been included in the uniform provisions, and premium subsidies have been implemented to effectively enhance the enthusiasm of farmers to participate in the insurance. At the same time, relying on satellite remote sensing, big data and other technologies, it has realized the informatization of the whole process of underwriting and claims settlement, and significantly improved the service efficiency. At present, Beijing’s policy oriented agricultural insurance has covered all agricultural administrative regions, forming a diversified risk protection system covering planting, forestry, animal husbandry and fishery, which provide strong support for agricultural modernization and Rural Revitalization.

In order to explore the relationship between education, science and technology and talent in China, the evaluation indicators of the development level of education, science and technology and talent were constructed respectively. Factor analysis method was used to calculate the development indexes of education, science and technology and talent in each province from 2018 to 2022, and the coupling coordination degree of the three systems was calculated based on the coupling coordination model. The results show that the coupling coordination degree of education, science and technology and talent systems has increased year by year, but the imbalance is still the main tone of the country. Further, the Tobit model was used to analyze the factors affecting the coupling coordination degree. It is found that the degree of opening up and industrial structure have a significant positive effect on the coupling coordination degree, and the government regulation has a significant negative effect. In order to improve the coordination level of education, science and technology and talent system, it is necessary to further expand foreign exchange and cooperation, vigorously support the development of strategic emerging industries, and enhance the systematicness of government regulation.

In order to explore the influence mechanism of digital trust on residents’ participation in community environmental governance behavior, and the mediating role of perceived value between the two, community residents in Fuzhou City were taken as the research object to conduct a field survey, and 616 sample data was analyzed by using STATA. The results of the study show that, first, the enhancement of digital trust helps to increase the enthusiasm of residents to participate in community environmental governance. Second, residents’ perceived value plays a mediating role between the two. Based on these conclusions, countermeasure suggestions are proposed, such as bridging the digital divide in old age, cultivating residents’ awareness and literacy in community environmental participation, and enhancing the transparency and responsiveness of digital government.