The study of investment networks is crucial to the promotion of regional integration. Based on the data of enterprises’ outward investment from 2005 to 2022, the nodes, patterns and structural evolution characteristics of the investment network as a whole and in different industries were analyzed using social network analysis. The investment linkage matrix was also constructed and the SLM(spatial lag model) was used to explore the externalities of the investment network. The results show that the power polarization of investment network nodes is obvious, with Chengdu and Chongqing occupying an absolutely dominant position. The investment network power of manufacturing and financial industries shows ring and fragmented distribution, respectively. The investment network pattern evolves towards multi-core equilibrium, and the manufacturing network pattern is more mature. The investment network has an obvious core-edge structure, but the difference in core degree gradually decreases. The investment network has significant positive externalities on economic growth, showing a trend of decreasing and then increasing. The manufacturing investment network has a stronger role in promoting economic growth. Consumer markets and government policies are important factors driving economic growth in local and linked cities.

Production optimization is a key component of closed-loop reservoir management, aimed at maximizing economic benefits by fully exploiting reservoir potential through the identification of optimal injection and production parameter schemes. The use of numerical simulators during the search for the optimal solution significantly increases time costs, making it challenging to rapidly determine the best scheme, despite its important engineering implications. An objective function for production optimization in waterflood reservoirs was constructed based on factors such as the reservoir numerical simulation model, optimized time steps, production and injection well control strategies, reservoir responses, and cost and profit parameters. Research was conducted on the method of using surrogate models to replace numerical simulators in production optimization, based on sampling criteria for the surrogate model. In order to address the lack of physical significance in surrogate models and the difficulty in achieving the same precision as numerical simulators during optimization, a relationship for an ensemble surrogate model was established. Validation results on two reservoir models, three-channel and Egg, show that the proposed ensemble surrogate model optimization method improves economic benefits by 4.81% and 4.75% respectively, compared to conventional optimization methods across all tested reservoir models. In order to verify the application effect of the proposed method in the actual oilfield field management scenario, the Bruges oilfield is taken as an example to carry out the test. The proposed integrated agent model optimization method can increase the economic benefit by 2.45% compared with the conventional optimization method. This proves that the proposed method can achieve satisfactory results in solving the problem of injection and production optimization in large-scale reservoirs.

Loose sandstone oil and gas fields often experience sand production during development due to factors such as declining formation pressure and increasing water content, which can have a serious impact on oil recovery and production, and even lead to production shutdowns. Taking the Linhe Formation, the main reservoir of Xinghua X Block in Bayan Oilfield, as the research object, based on the classic model of sand production prediction, the TAW-1000 rock mechanics test equipment and sand control screen comprehensive simulation test system were used to carry out the sand production trend analysis and sand control parameter optimization experiments for the target reservoir. Based on model analysis and experimental evaluation, the sand production probability of the reservoir in the early stage of development of Bayan Oilfield block was predicted, and the law of reservoir rock strength changing with saturation rate was clarified. The sand control technology and screen accuracy parameters suitable for the target reservoir were optimized and determined. The study can provide important reference for the sand control technology measures and intervention timing adopted for the development of X block in the target oilfield, and has certain production guidance significance.

To improve the reliability of security monitoring results and achieve intelligent monitoring of buildings, research and design of building security intelligent monitoring methods were carried out based on sensor data fusion and scale invariant feature transform(SIFT) feature matching. Cameras, infrared detectors, vibration sensors were installed, building security data was collected, weighted average method was introduced to fuse and compress preprocessed data with point cloud data. Color images was converted into grayscale images, key points (feature points) and corresponding descriptors were extracted, and automatic stitching of building security monitoring images was designed based on SIFT feature matching. In the spliced video frames, the inter frame difference method was used to identify moving targets, and a threshold was set to distinguish between foreground(moving targets) and background, achieving tracking and intelligent monitoring of video moving targets. The comparative experimental results show that the designed method has a good effect in practical applications. This method can accurately identify all characters appearing in the monitoring interface, meeting the requirements of intelligent monitoring for building security.

A flexible sorting system for industrial intelligent robots based on machine vision has been designed, focusing on identifying and sorting plastic shell samples of remote controllers. The system uses a CMOS camera and adaptive lens, combined with a white light strip source, to ensure high-precision image capture. Through camera calibration and hand eye calibration, the robot has achieved precise positioning of the workpiece position. The system software design includes visual software settings and industrial robot software design, realizing the automation process of workpiece recognition, positioning, grasping, and placement. The results show that the system can efficiently and accurately complete sorting tasks, with high automation, intelligence, and flexibility.

The traditional urban lighting inspection method has many shortcomings, and the unmanned aerial vehicle inspection solution has been put into use in the fields of electricity, water conservancy, and urban monitoring and has achieved good results. Research on unmanned aerial vehicle intelligent inspection technology in the field of urban lighting, introducing technologies such as deep learning based urban road surface illumination collection and visual recognition based municipal infrastructure disease monitoring to achieve efficient and accurate inspection of urban road lighting facilities. In the data processing stage, fault detection and recognition are performed using a trained YOLOv5 deep convolutional neural network (CNN) model, combined with techniques such as adaptive anchor box computation and Mosaic data augmentation. The experimental results show that the system can effectively detect various types of defects in urban lighting and complement traditional inspection methods, accurately detecting potential faults in urban lighting facilities and providing data support for subsequent maintenance. This system provides an effective solution for the digital and intelligent management of future urban lighting facilities, and has great application prospects and promotion value.

The First Affiliated Hospital of Henan University of Science and Technology’s Oncology Hospital utilizes a high-difference monolithic main and podium raft foundation. To ensure construction safety, it is imperative to control and analyze the settlement differential of this foundation. The Midas GTS/NX finite element software was employed to construct a load-bearing structural model of the foundation pit, assessing the impact of the superstructure’s self-weight and the variation in construction loads on the differential settlement of the foundation. The findings demonstrate that with the increment of the superstructure’s load, the monolithic raft foundation exhibits continuous settlement at the high-difference junction without abrupt changes,the settlement of the main and podium raft foundation increases nonlinearly with the augmentation of floor loads, employing a monolithic raft foundation can effectively manage the settlement differential of the high-difference foundation.

The influence of landmark buildings in Lanzhou was mainly analyzed and discussed, aiming to study the relationship between landmark buildings’ influence, traffic attributes and landscape attributes. Urban vitality was taken as the influence index of landmark buildings, traffic accessibility represents the traffic attribute of landmark buildings, population thermal data represents the landscape attractiveness of landmark buildings, and the driving factors of landmark buildings’ influence were explored through correlation analysis. The results show that the traffic attributes and landscape attributes of landmark buildings are positively correlated with the impact of landmark buildings. The promotion effect of traffic accessibility and landscape attractiveness on the influence of landmark buildings depends on the road traffic level of the location of landmark buildings. When accessibility is poor, the impact of traffic accessibility on landmark buildings is more important than the landscape attraction of landmark buildings themselves. When the degree of transportation convenience reaches a certain level, the promoting effect of transportation accessibility on the influence of landmark buildings will decline. Improving the transportation accessibility and landscape attractiveness of landmark buildings can both enhance the urban vitality around landmark buildings and thus enhance the influence of landmark buildings. Based on research results, the corresponding planning and design suggestions are put forward.

In order to study the creep effect of concrete-filled steel tube tied arch bridge, taking 1-128 m concrete-filled steel tube arch bridge as an example, a three-dimensional finite element calculation model was established. According to the creep model of concrete-filled steel tube under the action of steel content, core concrete strength and temperature proposed by Jung Ling Chang, the influence of creep on the long-term deformation and internal force of concrete-filled steel tube tied arch bridge was analyzed. The results show that the arch rib creep will cause the arch rib and tie beam of the concrete-filled steel tube tie arch bridge to produce flexural deformation, and the arch rib stress will redistribute, resulting in the arch rib stress increasing and the core concrete stress decreasing. The stress redistribution of arch rib, girder and arch rib caused by the creep of arch rib under the consideration of temperature is greater than that without the consideration of temperature. The influence of temperature on creep should be considered in bridge design, construction monitoring and later use stage, so as to reasonably predict long-term creep deformation and stress redistribution during operation stage.

Understanding the distribution and characteristics of tunnel noise is a prerequisite for noise control and prevention. Tianba Shierpo construction tunnel was established as the prototype, the noise of key regions was measured, the law of noise in key areas was explored. Using discrete wavelet transform, the energy distribution characteristics of the main noise sources in the tunnel were defined, noise hazards are classified. The results show that the frequency spectrum distribution of fan and shotcrete noise is similar, and shotcrete noise is discrete noise. The root cause of the difficulty of noise control in tunnel is the different intrinsic characteristics of different noises. The pattern of energy distribution for fan and shotcrete noise exhibits an initial increase, followed by a decrease, and then another increase, whereas the drilling noise displays a decline initially followed by an increase. It can be graded according to the damage to human body as, drilling > shotcrete > fan.

In order to strengthen and toughen the functional refractory, carbon fibres were introduced as reinforcement in aluminium-carbon refractories in a new way using direct dispersion of the binding agent. The effects of different carbon fiber contents on the properties of aluminum-carbon refractories were studied. The changes of bulk density, apparent porosity, flexural strength at room temperature, compressive strength, thermal shock resistance and high-temperature flexural strength of the samples after high temperature treatment were compared and analyzed. Changes in the physical phase and morphology of the samples at different heat treatment temperatures were analyzed. The results show that after heat treatment at 1 100 ℃, the flexural strength at room temperature, compressive strength, residual flexural strength and high temperature flexural strength of the samples with carbon fiber were effectively improved compared with those without carbon fiber. Among them, the performance is optimal when the carbon fiber content is 0.1%. Well-developed silicon carbide whiskers were obtained from the carbon fiber samples heat-treated at 1 500 ℃ and bridged carbon fibres with the matrix as observed by SEM. This suggests that suitable carbon fibre-doped can make the sample obtain excellent high-temperature service performance will Under the dual reinforcement of carbon fiber and silicon carbide whiskers.

Underground diaphragm wall has great advantages in the application of deep foundation pit support in the basement of high-rise buildings, subway stations and other projects. However, for the construction of underground diaphragm wall under the complex geological conditions of soft upper and hard lower strata and high groundwater level, as well as the complex environmental conditions such as high support rate into rock, near the construction and adjacent to the operation range of subway, there are some problems such as easy to collapse holes, low trough efficiency and high construction cost. Therefore, the construction technology of pile-diaphragm wall integration supporting the foundation pit was studied. By replacing this part of the deep ground connection wall embedded in the breezed rock layer with cast-in piles, the difficulty and workload of hard rock troughs are reduced, and the safety risks of adjacent buildings and subway operations are reduced.

In response to the increasingly growing logistics delivery demands in rural areas, optimizing the last-mile delivery model, reducing delivery costs, and improving service quality have become urgent issues. Based on a parallel delivery model using delivery vehicles and drones, and considering the characteristics of logistics distribution in rural areas, aims to maximize total delivery profit by constructing a parallel delivery model that incorporates the specific features of rural areas. An improved ant colony algorithm was employed to solve the model, and the feasibility of the algorithm was validated using Solomon benchmark instances. The research results demonstrate that the parallel delivery of vehicles and drones has significant advantages over the traditional single-mode delivery of vehicles or drones.

Considering the effect of the separation between the supporting layer and the base layer of the ballastless railway caused by foundation settlement, a simplified method was proposed for calculating the rail deformation of the ballastless railway to tunnelling underneath. Firstly, the track slab and the supporting layer were supposed as a composite elastic beam, and a simplified equation for the deformation of ballastless railway composite beams induced by shield tunneling was proposed by ignoring the influence of fasteners on the composite beam deformation. Afterwards, the composite beam was divided into a void zone and a joint zone, and the analytical solutions for the deformations of the composite beams caused by tunnlling underneath were proposed based on the elastic foundation beam theory. Furthmore, the rail was regarded as an Euler beam connecting with the composite beam by the dispersed spring, and the equations for the rail deformation caused by the composite beam deformation were derived. Based on the above, compared with the numerical simulation and theoretical results in the existing literature, the proposed simplified method of the ballastless railway caused by tunneling underneath was validated. Finally, the influences of model parameters on the rail deformation to tunnelling underneath were discussed, including the tunnelling induced ground loss rate, the composite beam bending stiffness, the fastener stiffness, and the rail bending stiffness. The results indicate that the theoretical calculation results were overestimated by neglecting the local suspension effect of the supporting layer. Reducing the tunnelling induced ground loss rate, strengthening the composite beams and rails can control the rail deformation of the ballastless railway caused by tunnlling undercrossing, but strengthening the fasteners stiffness may increase the unevenness of rail deformation.

Tunnel construction ventilation can effectively eliminate harmful gases and dust, and ensure the safety of construction environment. Taking an extra-long road tunnel as an example, the air demand for the construction of inclined shafts and tunnels was calculated with multiple working faces, choose the appropriate fan models, and the tunnel construction ventilation in stages was designed according to the construction progress of inclined shafts and main caves. A section of the split tunnel was used as a ventilation tunnel, and the roadway + pressurized ventilation method is adopted to shorten the length of the air supply ducts. FLUENT software was used to establish a three-dimensional numerical model of multi-working face construction ventilation, in-depth study of CO(carbon monoxide) diffusion regulations in tunnels. The results of the study show that CO migrates from near the tunnel face to the entrance in the form of “air mass”, and the migration rate is positively correlated with the ventilation wind speed in the tunnel.The location of the high CO concentration zone at the intersection of the inclined shaft gradually shifts to the right (low velocity zone) as the wind velocity ratio gradually becomes larger, and the maximum concentration gradually decreases.The wind speed ratio has no significant effect on the change of CO concentration in the left hole.

Starting from a low-carbon perspective, the relationship between the agglomeration of productive service industries, green technology innovation, and industrial green total factor productivity was explored through provincial research data from 2003 to 2021. The results show that the impact of specialized agglomeration of productive service industries on industrial green total factor productivity exhibits a “U” - shaped characteristic, while the impact of diversified agglomeration exhibits an “N” - shaped characteristic. The specialized agglomeration of productive service industries has a significant positive impact on industrial green total factor productivity through the mediating effect of green technology innovation, while there is no mediating effect in diversified agglomeration.There are differences in the impact results among the three major regions of East, Central, and West. The specialized agglomeration of productive service industries in the eastern region is more flexible, while the diversified agglomeration of productive service industries in the central region is more significant. It is found that a good agglomeration of productive service industries can accelerate the improvement of industrial green total factor productivity. Based on emphasizing development characteristics and growth models, targeted green technology innovation and precise policies can be implemented to construct a localized policy model for productive service industries with Chinese characteristics, providing policy references and theoretical guidance for promoting industrial green development.

RCEP (Regional Comprehensive Economic Partnership) provides broad space and opportunities for the optimization and upgrading of industrial structure in Guangxi, and promotes high-quality economic development in Guangxi. By conducting in-depth research on the opportunities and challenges brought by RCEP,reference for Guangxi is proposed to formulate a scientific and reasonable path for optimizing and upgrading its industrial structure. By using comparative analysis, the problems and challenges facing Guangxi’s current industrial structure were analyzed. A path for optimizing and upgrading Guangxi’s industrial structure under RCEP is proposed. Guangxi should fully utilize the policy dividends of RCEP to promote technological innovation, accelerate the development of digital technology, extend the industrial chain, highlight green development, transform traditional industries, optimize industrial structure, and optimize regional layout. raditional industries, optimize industrial structure, and optimize regional layout.

Digital inclusive finance is an important way to promote high-quality economic development and achieve consumption expansion and upgrading. It is found that digital inclusive finance can significantly improve the consumption level of households in China and the western region by using CHFS (China Household Finance Survey) micro household data, and digital inclusive finance can help household consumption through the intermediary mechanism of improving household income and regional digitalization. In order to make digital inclusive finance better realize the expansion and upgrading of consumption, on the one hand, it is necessary to increase policy support and promote the construction of digital infrastructure; On the other hand, it is necessary to improve the consumption and financial consumption concepts of households.

China’s provincial panel data from 2011 to 2021 were used, the entropy weight TOPSIS(technique for order preference by similarity to ideal solution) method was used to measure the level of agricultural low-carbon development, and financial support for agriculture as financial support for agriculture was expressed to illustrate the impact of financial support for agriculture on agricultural low-carbon development. The intermediary effect of rural human capital in the relationship between the two was discussed. It is found that fiscal support for agriculture has a positive promoting effect on low-carbon agricultural development, and rural human capital plays a mediating role in it. Heterogeneity results indicate that the impact of fiscal support for agriculture in northern regions is greater than that in southern regions.

In order to further explore the feasibility of key technologies, related products, markets, and policy measures in the hydrogen energy industry at different time nodes, an analysis framework for the development of the hydrogen energy industry was constructed based on industrial technology road-map. The incoPat patent database was used to clarify the current development status of the hydrogen energy industry through technology patent retrieval and analysis. Adopting questionnaire survey and expert interview afterwards,the development trend of China’s hydrogen energy industry is predicted and depicted from aspects of industrial environment, main products, key technologies, etc. Based on above predictions and depictions,a roadmap for the development of China’s hydrogen energy industry is drawn. In combination with the construction practice of Changping “Energy Valley”, suggestions for industrial development are systematically put forward, such as increasing technological research and development in the field of hydrogen production using renewable energy, actively promoting pilot demonstrations, accelerating the construction of a national hydrogen energy supply system and a whole industry chain system of hydrogen industry with green hydrogen as the core, improving the standard system, and strengthening international cooperation.

In the context of the policy of promoting Xinjiang through tourism, the integration of culture and tourism not only promotes the rapid development of tourism in Kashgar, but also drives the prosperity and development of related industries around. Based on the panel data of Kashgar from 2017 to 2023, the impact of economic and social development in Kashgar was analyzed from the perspective of cultural and tourism integration. The entropy method was used to construct the comprehensive evaluation index system of cultural industry and tourism industry, and the coupling coordination degree of cultural and tourism industry was measured and analyzed. The results show that the improvement of cultural and tourism integration can effectively promote the economic development of Kashgar.There are differences between Tashkurgan County and Yuechupu County in terms of resource allocation, geographical environment and economic development level. From the perspective of regional differences, the impact of cultural and tourism integration degree on the economy of Tashkurgan County is more obvious than that of Yuechupu County.

An in-depth study on the development of E-commerce in China was conducted using Kernel density estimation, Dagum Gini coefficient and decomposition method, and grey prediction GM (1,1) model. The conclusion shows that there is an imbalance in the development level of E-commerce in China within and between regions, with significant differences within the eastern region and the most significant differences between the eastern and western regions. The level of economic development, population size, urbanization, social consumption, and degree of openness in different regions affect the level of E-commerce development and regional differences. The forecast shows that China’s E-commerce will continue to grow in the future, but the existing gradient distribution pattern of east, west, central and western regions will not change in the short term.

In order to adapt to the actual situation of Ma’anshan and promote urban renewal and complete community construction, the field survey and data analysis method was adopted. Taking 103 communities (villages) in Ma’anshan’s central urban district as the research object, GIS(geographic information system)software was used to conducted data processing and visual analysis.The research reveals four functional classifications (life type, production type, mixed type and succession type) and five characteristics (spatial distribution, construction time sequence, spatial texture, population age and facility layout) of the present community. It is found that there were correlations between functional classification and 4 of the features, and there is a clustering effect in spatial location. Based on the functional classification and characteristics of the present community, eight types of construction guidance were summed up, and it is suggested that the needs of the population and the construction emphasis should be fully considered in the construction of the complete community at the city level under different construction guidance types.

Selecting panel data from 14 cities and prefectures in Hunan Province from 2012 to 2022, an evaluation index system for social security and common prosperity was constructed. A panel regression model was used to analyze the mechanism and effects of social security on common prosperity. Research has found that social security can significantly improve the level of common prosperity in regions. Social security has the greatest promoting effect on the level of wealth, with a 31.2% increase in wealth, a 6.3% increase in commonality, and a 0.4% increase in sustainability for every 1% increase in social security level. The coverage of social security has the most significant impact on common prosperity. Social security indirectly promotes common prosperity through employment effects, with an intermediary role accounting for 6.3%.

Based on survey data from 300 migrant workers in Foshan, Guangdong Province, the AF(Alkire-Foster) method was used to examine the multidimensional poverty characteristics of migrant workers. It explains the heterogeneity of multidimensional poverty from both spatial and group perspectives. It is found that migrant workers living in urban villages have lower poverty incidence rates in the dimensions of quality of life and working conditions compared to those in urban-rural junctions and suburban areas in terms of spatial heterogeneity, with multidimensional poverty being most severe in suburban areas. In terms of group heterogeneity, physical laborers and ordinary workers with lower skill levels have significantly higher poverty incidence rates in the dimensions of income and assets, education and skills, quality of life, and working conditions than skilled workers and managers with higher skill levels. The poverty incidence across various dimensions decreases as education levels increase, with migrant workers having primary school education or below experiencing the highest incidence and intensity of multidimensional poverty. Finally, policy recommendations for governance are proposed based on these findings.

Based on the super-efficiency NSBM(network slack based modle) model, an industrial green development efficiency index system reflecting the industrial economy, ecological benefits and social welfare was constructed, and the industrial green development status of Qaidam Basin from 2010 to 2021 was calculated. The results show that the overall efficiency of industrial green development is not effective with DEA(data envelopment analysis), and the years with effective DEA are all weak with DEA. In the 13th Five-Year Plan period, the environmental economic efficiency and environmental welfare efficiency were consistent.The industrial green development model was mainly “high-high” and “low-low”, and the development is uneven and unstable.

With the comprehensive deepening of the “Belt and Road” initiative, the development of international dry ports has ushered in unprecedented opportunities. Combining the current development situation of China’s international dry ports and the development overview of Shijiazhuang international dry port, development countermeasures were put forward, such as optimizing the logistics products of international dry ports and creating industrial clusters based on the characteristics of the location, with a view to promoting the high-quality development of Shijiazhuang international dry port and injecting strong kinetic energy for actively integrating into the “Belt and Road” and promoting the high-quality development of the regional economy.

As a major province rich in red culture and tourism, Liaoning Province has set the goal of revitalizing, highlighting, and popularizing its red cultural resources, and has conducted in-depth exploration and development of a series of digital red cultural resources. With the continuous upgrading of new media technologies in the era of digital intelligence, the related theories, strategies, and development directions for the dissemination of red cultural resources are in urgent need of renewal. The dissemination of Liaoning’s red cultural digital resources is confronted with unprecedented opportunities and challenges. Based on the theory of media affordances, the new definition of the “new” media affordance theory was explored in the era of digital intelligence. From the three dimensions of production affordances, social affordances, and mobile affordances, the current dissemination status of the content of Liaoning’s red cultural digital resources, digital interaction among users, and the dissemination of resource applications was analyzed. Based on the pain points, it proposes the practical framework and development path of “intelligent” production of digital resource content, “intelligent” social interaction among users, and “intelligent” mobile dissemination of resource applications, thereby exploring the “new” strategies for the dissemination of cultural digital resources in the contemporary “intelligent” communication environment.

Taking Sailun Group as the research object, the impact of ESG(environmental, social, and governance) practice of chemical enterprises on enterprise value was explored. Firstly, the situation of chemical industry and general situation of Sailun Group were introduced by case analysis method. Then, starting from the ESG practice of Cylun Group,the performance of ESG practice was analyzed in detail. Finally, comparative analysis and entropy weight method were used to analyze and summarize the overall operation status of Sailun Group. Grey relational analysis was used to analyze the relationship between ESG practice and enterprise value. It is found that the conclusion is drawn that the chemical enterprises taking Sailun Group as an example can fulfill the social responsibility while ensuring the enterprise value, and promote the realization of enterprise value with ESG practice. According to the conclusion, some suggestions on cost management of chemical enterprises are put forward.

Based on the quarterly data of China’s A-share listed tourism companies from 2016 to 2022, the impact of ESG(environmental, social, and governance)performance of listed tourism companies on their financial performance was empirically analyzed. The results show that the ESG performance of listed tourism companies has a positive effect on the financial performance of enterprises, the ESG performance promotes the financial performance by reducing the financing constraint. The improvement of ESG performance in the scenic group has less effect on the improvement of corporate financial performance than that of the non-scenic group, and the improvement of ESG performance in the state-owned enterprise group has less effect on the improvement of corporate financial performance than that of the non-state-owned enterprise group.

With the development of information technology, data has become a valuable asset. Conducting a comprehensive and objective evaluation of the value of data assets has become a current research hotspot. Taking Internet enterprises as the research object, after comparing data asset evaluation methods, the multi-period excess earnings model was selected to evaluate the value of data assets of Internet enterprises. Due to the deficiencies of the traditional model such as unclear contribution amount and difficult determination of the income period, ANP (analytic network process) was introduced for secondary differential division to effectively subdivide the income contribution amount of data assets. The Pearl curve was used to determine the income period. An improved multi-period excess earnings method-based data asset value evaluation model for Internet enterprises is proposed. The research results show that the improved model can effectively solve the problem of inaccurate evaluation and provide methodological support for the asset value evaluation of Internet enterprises.

Enterprise resilience is one of the important capabilities of enterprises to respond to external crises, and how to improve corporate resilience and promote the steady and healthy development of the economy has become an important issue worthy of attention. Based on this, the A-share listed companies in Shanghai and Shenzhen from 2013 to 2022 was taken as a research sample to empirically test the impact of the asset-light operation model on the resilience of enterprises, and the impact of property rights on the relationship between the two. The empirical results show that the asset-light operation model positively affects the resilience of enterprises, and the property rights will weaken the positive correlation between the two.

Taking the green supply chain consisting of one manufacturer and one retailer as the research object, the effects of channel demand discount and the manufacturer’s social responsibility on the manufacturer’s channel choices under the equal retail pricing strategy and the three channel strategies were studied. The findings show that when the level of social responsibility and the discount coefficient of demand shifting are low, it is optimal for the manufacturer to open both retail and direct sales channels, and when the level of social responsibility and the discount coefficient of demand shifting are high, the manufacturer achieves the best total profit by retaining only the direct sales channel.

Promoting industrial ecologicalization is an inevitable choice for achieving sustainable development. Grounded theory was applied to analyze the ecological structure of the prefabricated construction industry, the mature ecological structure system of the industry was delved into. A four-dimensional industrial ecological structure framework of “resource environment ecological culture application execution management control” was constructed. The connotation of mature ecology in the prefabricated construction industry was defined. Comprehensive characterization of the mature ecological structure system of the prefabricated construction industry. By analyzing the case, an industrial ecological model was established and optimization strategies were provided to verify the accuracy of the system. Reference on how to achieve greater benefits in various aspects through ecological transformation in the prefabricated construction industry is proposed.

China has entered the era of digital economy, and the demand of enterprises for digital technology skills is increasingly prominent.In order to better meet this demand, the Chinese government has formulated a series of digital technology skills training policies. the PMC(policy modeling consistency) index model of digital technology talent training policy in Beijing, Tianjin and Hebei was established, and the model was used to conduct quantitative evaluation of related policies.It is found that the training policies of digital technical talents in Beijing, Tianjin and Hebei are qualified and can play a certain role in the training of digital technical talents. Compared with excellence, there is still a distance. Finally, some suggestions are put forward to optimize the policy of digital technical talents in the Beijing-Tianjin-Hebei region.

The widening of the gender income gap seriously hinders the realization of common wealth, while the development of the digital economy brings new solutions to effectively alleviate the gender income gap, realize common wealth and the high-quality development of China’s economy. The impact of digital economy development on the gender income gap was investigated by constructing an indicator system for measuring the digital economy in each province and combining the data from 2015 to 2021 China General Social Survey (CGSS). It is found that digital economic development can alleviate the gender income gap. The digital economy can significantly increase individual incomes in terms of different time years, age groups and skill differences, as well as mitigate gender income gaps. The quantile regression results show that the development of the digital economy raises the income of middle- and high-income women significantly more than that of men. Discrimination is still the main reason for the gender income gap. Expanding flexible employment channels for women, strengthening the protection of women’s rights and interests, utilizing the advantages of the Internet platform, and strengthening the training of women’s digital resources can increase women’s income and narrow the gender income gap.

Based on the extended gravity model, the impact of business facilitation in RCEP(Regional Comprehensive Economic Partnership) countries on China’s OFDI(outward foreign direct investment) was empirically examined, using China’s panel data on OFDI from 2005 to 2020.The results show that the facilitation of business environment in RCEP countries is conducive to promoting the growth of OFDI in China, but the results are different in each sub-indicator of business environment. The facilitation of the business environment in RCEP ASEAN countries has a promoting effect on China’s OFDI, while the promotion effect of RCEP non-ASEAN countries is not obvious. Based on different investment motives, the impact of business facilitation in RCEP countries on China’s OFDI is also different. With the in-depth implementation of RCEP, the business environment of various countries will continue to be optimized, and the level of China’s direct investment in RCEP partner countries will continue to rise.

Pre-application evaluation of patents is important to improve patent quality, form high-value patent, and promote the transformation of achievements. By investigating the current situation of pre-application evaluation of patent in domestic universities, the problems existing in the pre-application evaluation of patents in universities was analyze. A classification and grading pre-application evaluation model for patent is proposed, which is guided by improving the quality of patent applications and creating high-value patent, taking objective elements as evaluation indicators, and taking into account the classification and grading of different application purposes of the invention body in terms of school organization and personnel allocation, fund investment, and the differences in the application purposes of the invention body. Since different evaluation levels are adopted for different invention bodies, compared with traditional evaluation, it can effectively reduce personnel and capital investment.

Universities are important support for local economic use of scientific and technological innovation resources to form new quality of productivity.Analyzing the current situation of patent quality and conversion in universities is of great significance for improving the quality and conversion of patents in local universities. Taking universities in Anyang as the research object, a complete patent database of 7 universities in Anyang was formed through incoPat. Combined with the patent policies and regulations of Universities in Anyang, the quality and transformation status of patents were analyzed. It is found that the patent quality of universities in Anyang is not high, the effective patent implementation rate is extremely low, and the patent conversion situation is poor. The main reason is that there are obstacles in the system, operation, cooperation, and implementation of intellectual property management in universities. It is suggested to established and improve institutional mechanisms for industry university research cooperation, high-value patent cultivation, intellectual property talent cultivation, and intellectual property administrative management.

In order to better grasp the future development direction and innovative development path of transport aircraft and their propulsion systems, the first-principles analysis method was used to analyze the Breguet range equation. The results show that the innovation and development of transport aircraft mainly revolves around three dimensions, including the improvement of aerodynamic performance, the improvement of weight performance and the improvement of propulsion performance. The innovation and development of aircraft technology depends on the progress of aviation science and technology on the one hand, and is affected by the development environment on the other hand. The power is still based on the turbofan engine with large bypass ratio, and the use of new concept engines such as hybrid electric vehicles mainly depends on technological breakthroughs such as batteries.

Youth is the hope of the country, the future of the nation, young people are the source of national strategic talent strength. In order to provide reference for the research on the strategy of strengthening the country by talents, the development trend of the research on young talents in the academic circle was systematically grasped, the frontier hot spots of the research on young talents were sort out. With the help of visual literature analysis software CiteSpace, 319 Chinese Social Science Citation Index (CSSCI) journal papers on “young talents” collected by CNKI was analyzed, and the existing research results were visualized from the aspects of the number of publications, author cooperation network, research theme, development context and research hotspots. At the same time, the shortcomings of the research on young talents and the way to further promote it in the future are put forward. The analysis shows that the current hot spots of young talents research focus on young scientific and technological talents, young talents policy, young talents training and other fields. Future research on young talents needs to be combined with national development needs, combined with the theme of The Times, combined with the characteristics of young people, to do more in-depth and specific research.

By combing the literature on policy pilot since the 18th CPC National Congress, Cite Space software is used to draw it into a knowledge map and analyze it, to discuss the hot spots and development trends of China’s policy pilot research. The results show that the number of papers published in policy pilot studies is on the rise, and the research hotspots mainly focus on the occurrence process of policy pilot, the central-local relationship in policy pilot, the knowledge production in policy pilot, and the innovation diffusion in policy pilot. Based on this, it points out the shortcomings of the existing research, and provides reference for the future research of the policy pilot.

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.

Selecting Yangquan City in Shanxi Province as the research region, three evaluation indexes were set, including road network density, road service index and traffic accessibility, which are statistically, analytically and computationally calculated by ArcGIS 10.8.Road Buffer Analysis and Tourism Resource Richness Index were used to evaluate the factors influencing the development of tourism in Yangquan City with the possibility of its realization in the future. The path of realizing the new development pattern in Yangquan City was analyzed. Finally, it is concluded that the transportation accessibility of Yangquan City varies greatly from county to county. Urban areas and mining areas have high transportation accessibility, suburban areas and Pingding County are average, and Yuxian County has poor transportation accessibility.The distribution of tourist attractions of Grade A and above in Yangquan City is characterized by distribution with the topography, and the distribution of tourist attractions in the suburban areas, Yuxian County and Pingding County is more balanced, with stronger transportation accessibility. Targeted recommendations is upgrade the great pressure low-grade roads to national or provincial highways, strengthen the road transportation capacity, expand the scope of road services.According to the characteristics of different districts and counties for targeted construction, the landscape protection and development of tourism-friendly Pingding County area, the traffic gateway to Yu County for the expansion of the road and the construction of the accelerated connection with Beijing-Tianjin-Hebei and the Xiong’an New Area.Multifaceted stimulation of domestic demand, the improvement of the economic structure, and then the good accessibility of transportation. improve the economic structure, and then feedback the good economic growth to the environment, forming a good cycle; seize the opportunity of the times, give full play to the great potential of Yangquan City, and build a new pattern of rural revitalization and development.

Tanhuasi Park was selected as the case area to collect photos and sounds, and the proportion of each element was identified by image semantic segmentation. Then, according to the saliency and universality of the sound, the sound of birdsong, the sound of water flowing, the sound of wind, and the sound of communication were selected, and the sound and picture were edited by Adobe Premierepro, and the questionnaire was filled in to calculate the recovery value of different sounds. The correlation analysis between landscape elements and sound was carried out, and it was concluded that birdsong had a significant positive correlation with tree and shrub coverage and plant species, water flow sound had a significant positive correlation with water quality and waterscape coverage, and communication sound was negatively correlated with the richness of landscape sketches. Based on this, strategies for improving the green space environment of urban parks are proposed.

The integrated development of urban and rural areas,as an important component of the path of socialist rural revitalization with Chinese characteristics,has received widespread attention from researchers in recent years.Based on CiteSpace software, CSSCI(Chinese Social Science Citation Index) related literature in the field of urban-rural integration development from January 2015 to September 2024 was taken as the research object,which is included in the academic journal database of CNKI(China National Knowledge Infrastructure).The number of publications,journal distribution,authors,publishing institutions, research hotspots were studied,and visual analysis was conducted.The research results indicate that the number of publications has shown a fluctuating and increasing trend in the past 10 years.The three hot topics in research on urban-rural integration development are urban-rural integration, urban-rural relations,and digital economy.The research process is as follows: the period from 2015 to 2017 was the initial stage,focusing on the issues in the integrated development of urban and rural areas. From 2018 to 2019 is a period of rapid development,focusing on solving problems in the integration of urban and rural development.From 2020 to 2024, in order to consolidate and deepen the stage,we will explore the internal driving mechanism of urban-rural integration development and new paths and methods to assist in urban-rural integration development. Future research should focus on enriching interdisciplinary perspectives, innovating and applying evaluation indicators,driving digital innovation, and guiding policies to better promote coordinated development and common prosperity between urban and rural areas.

Dynamic mechanism is an important direction, core and focus of building an important talent center and innovation highland in the world. The dynamic mechanism analysis framework of the world’s important talent centers and innovation highlands was conducted based on the push-pull theory, and reveals that the world’s important talent centers and innovation highlands are affected by three forces: push, pull and resistance. Based on the data of 40 countries from 2013 to 2021, the impact of population development on talent centers and innovation highlands was explored from the perspective of population. From the global perspective, the talent center and innovation highland show a trend of “strong west and weak east”, concentrated in North America and European countries, but the eastern countries began to rise, showing a trend of “rising east and falling west”. Population size will significantly positively affect the construction of the world’s important talent centers and innovation highlands. Population size has a significant positive impact on the construction of talent centers in high-income countries and the construction of innovation highlands in high-income countries. Population size has a significant negative impact on the construction of the world innovation highland in high-income countries. Finally, suggestions are put forward to give full play to the advantages of population, improve the overall quality of talents, gather international top talents and stimulate the vitality of talent innovation to promote the construction of China’s talent center and innovation highland.

As China’s emission reduction efforts continue to advance, the carbon emissions of the chemical industry have shown a gradual downward trend. However, the industry still faces challenges of high energy consumption and high carbon emissions in achieving the carbon neutrality goal. A system dynamics-based carbon emission model was constructed to simulate the carbon emissions of chemical sub-industries from 2010 to 2021.Dynamic effects of factors such as per capita consumption, fixed asset investment, and education level on carbon emissions were analyzed. The simulation results indicate that an increase in consumption levels may put pressure on carbon emissions, but significant reductions can be achieved through increased investment in fixed assets and promotion of green consumption behavior.

The impact of digital economy on the common prosperity of urban and rural areas was empirically examined by using inter-provincial panel data from 2012 to 2022.It is found that the development of the digital economy can significantly improve the level of common prosperity between urban and rural areas through multiple channels. The increase in government intervention and regional industrial agglomeration has a significant positive moderating effect on this process. The digital economy also promotes common prosperity between urban and rural areas by improving the allocation of labor resources. In heterogeneity analysis, it was found that there are significant differences in spatial distance, income, and policies regarding the promotion of shared prosperity between urban and rural areas by the digital economy. When using spatial spillover effects to test the exogeneity of instrumental variables, it is found that the level of digital economy in each province has no significant spillover effect on its surrounding provinces.

Value co-creation in the innovation ecosystem, as a result of the joint action of multiple subjects, is an important way for high-quality and sustainable development of enterprises. The existing studies mostly analyze the related problems from the level of single attribute of the subject, and seldom explore the antecedent mechanism of value co-creation from the perspective of multiple attributes of subjects, i.e., multi-dimensional proximity. To this end, structural equation modeling was used to investigate the impact of multi-dimensional proximity on value co-creation in innovation ecosystems and analyze the mediating role of knowledge search by studying the innovation activities of high-tech enterprises. It is found that multi-dimensional proximity positively affects innovation ecosystem value co-creation, knowledge search plays a mediating role in this process.

Based on China’s provincial panel data from 2012 to 2022, a provincial-level science and technology finance index system was established and an in-depth analysis of the influence mechanism of science and technology finance on the development of new-quality productive forces was conducted using two-way fixed effects model. The results show that science and technology finance has a significant promoting effect on the development of new-quality productive forces.The improvement of education levels and informatization levels can enhance the effect. Science and technology finance promotes the development of new-quality productive forces by increasing foreign investment and facilitating industrial structure upgrading. Science and technology finance exhibits heterogeneity in its impact on the development of new-quality productive forces in terms of regions, industrial structures, and degrees of openness.