In order to solve the seal failure and string safety problems caused by unreasonable application of prestress on the positioning seal of the injection pipe string in Q Oilfield of Bohai Sea, the wellbore string model of the injection well was established by using Landmark software to simulate and analyze the string expansion during the injection process of well X1 and the mechanical behavior changes of the pipe string after different prestress was applied to the positioning seal. The results show that the scientific application of positioning sealing prestress according to different well inclines can reduce the risk of pipe seal failure. The research results can provide theoretical support for the rational application of positioning sealing prestress to the waterflood string in Q oilfield.

Taking Mengniu Dairy’s acquisition of Miaoke Landuo as an example, the motivation and performance of dairy industry M&A was discussed to analyze the strategic considerations behind M&A and its impact on firm performance. Through literature analysis and case studies, qualitative analysis method was adopted, combined with financial data and market performance, to evaluate the effect of mergers and acquisitions. The results show that Mengniu’s acquisition of Miaoke Lando effectively expands its cheese product line, and improves its market share and brand influence. After the acquisition, Mengniu’s competitiveness in the high-end dairy market has been significantly enhanced, and its financial performance has improved, but it faces certain integration costs and operational challenges in the short term. It is concluded that M&A in dairy industry is helpful to achieve scale effect, product diversification and market expansion, but successful integration and synergies are the key to achieve M&A benefits.

With the promotion and improvement of e-commerce shopping platforms, the online review information posted by users has become a key factor affecting consumers’ purchase preferences. The KAB(knowledge attitude behavior) theoretical model was used to construct the influencing mechanism of consumers’ purchase preference based on online reviews, and the experimental method was used to analyze the mechanism of perceptual diagnosis and product type in the whole framework. The results show that the credibility, richness and word-of-mouth of online reviews have a positive effect on consumers’ purchase preferences, and perceptual diagnosis plays a mediating role between online reviews and purchase preferences, and product type plays a moderating role in the influence of online reviews on perceived diagnosis and purchase preference.

Justice is an ideal goal pursued in many fields of social life, and it is also true in the field of urban space. Through the perspective of spatial justice and the construction of an analytical framework of “spatial production-spatial distribution-spatial consumption”, it is found that urban spatial governance is currently faced with the imbalance of spatial justice in terms of spatial capitalization of spatial production, deprivation of spatial distribution and compartmentalization of spatial consumption. The key to urban spatial governance lies in following the governance goal of meeting the real needs of residents, adhering to the core principle of “people-centeredness”, establishing an orientation of spatial justice, promoting the fair distribution of resources through the innovation of spatial production modes, and improving the spatial layout of the city, aiming at correcting the current phenomenon of spatial imbalance, and focusing on the construction of a more just, inclusive, and sustainable urban space. A more just, inclusive and sustainable urban spatial environment.

The failure of AI(artificial intelligence)assistant services is essentially an algorithmic failure, and the “black box” nature of the algorithmic decision-making process exacerbates consumers’ negative reactions to service failures. A between-subjects experimental approach was adopted to explore the impact mechanism of enhancing algorithmic explainability from the perspective of perceived control through explainable artificial intelligence methods(such as post hoc explanations) on consumer behavior in the context of service failure, as well as the boundary conditions. It is found that when algorithmic explainability is enhanced (compared to the control), consumers’ continued intention to use despite service failure is improved, and consumers’ perceived control plays a partial mediating role in this process. However, the above effects are not significant when the anthropomorphism level of the AI assistant is low (compared to high).

Agricultural high-quality development (AHQ) is an urgent need for the comprehensive promotion of rural revitalization today.Benchmark regression and spatial Durbin models were employed to investigate the effects of the coupling degrees of three sets of binary and ternary relationships-formed by ASTR allocation, AST innovation, and AHQ-on AHQ across each province from 2010 to 2020.The findings indicate that, overall, the coupling development among these systems plays a significant role in promoting AHQ. Specifically, the coupling degrees of both the binary and ternary systems markedly boost AHQ. However, when analyzed regionally, the degree of system coupling development exerts varying impacts on AHQ across the four major economic regions. Spatial econometric regression results further reveal that the coefficients for the impact of system coupling on AHQ, along with the spatial lag coefficients, are positive. This implies that the synchronized development of these systems not only positively affects local AHQ but also catalyzes AHQ improvements in neighboring regions. Therefore, this study suggests fully leveraging the unique strengths of each region in the integration of science, technology, and the economy, accelerating new quality agricultural productivity, capitalizing on the spatial spillover effects of system interactions on AHQ in adjacent areas, intensifying supply-side structural reforms in the agricultural science and technology sector, and enhancing the efficiency of ASTR allocation.

Taking Qianguan Bridge in Dalian as the project background, the structural characteristics and stress conditions of the lower-supported steel pipe concrete tied arch bridge were analyzed. A health monitoring system scheme for the bridge was designed. The architecture design of the system and the types of sensors used for its main monitoring content were introduced. Finite element analysis of the bridge was conducted based on Midas Civil, and the measurement point layout of the bridge monitoring system was determined in accordance with relevant standards. Considering the strong subjectivity and poor overall nature of traditional manual inspections, which consume a lot of manpower, material resources, and financial resources on-site and even affect traffic operations, an intelligent bridge health monitoring platform was developed in the cloud based on BIM(building information modeling). This platform integrates real-time on-site data collection, stable and efficient transmission, rapid analysis of massive data, human-computer interaction, and visualization of models and data. It automatically triggers alerts and notifies relevant personnel through various means, achieving early detection, early warning, and early handling, providing strong support for the ultimate realization of smart bridge management and maintenance.

With the rapid growth of the number of new energy vehicles,as an important infrastructure, the location of battery swap stations is crucial to improve the user experience and promote the popularization of electric vehicles. In order to explore the location strategy of new energy vehicle battery swap station with the goal of maximizing user satisfaction, the key factors affecting user satisfaction, including service cost, travel time, waiting time and power consumption were analyzed through the comprehensive consideration of these four factors. The multi-objective decision-making problem is transformed into a single-objective optimization problem according to the CRITIC weight method, and the site selection optimization model was constructed, and the genetic algorithm was used to analyze the example to obtain the optimal location location.

Digitalization is driving the Industry 4.0 transformation globally. By establishing a multiple linear regression model that integrates the digital economy, environmental regulation, and carbon emissions into a unified analytical framework, the mechanism through which environmental regulation influences carbon reduction was explored. Furthermore, it investigates the moderating role of digitalization between the two and presents an intuitive analysis. The results indicate a significant inverted “U”-shaped relationship between environmental regulation and carbon emissions. The digital economy exhibits a green effect by reducing carbon emissions. The digital economy reverses the relationship between environmental regulation and carbon emissions, effectively moderating the “green paradox”, and regions with high intensities of environmental regulation are more likely to leverage the moderating role of the digital economy.

Focusing on the coordinated development of economic integration and cross-border trade in Guizhou Province, the role of economic integration in promoting cross-border trade was discussed by analyzing key factors such as policy environment and industrial synergy.It is found that Guizhou has achieved remarkable results in regional competitiveness, industrial upgrading and innovation ability, and cross-border trade has gradually become an important engine of economic growth in Guizhou.