In order to find out the deformation law of roadway under the support of large deformation fiberglass bolt, a three-dimensional calculation model was established by using numerical simulation software, and the support effect of conventional fiberglass bolt and large deformation fiberglass bolt was compared and analyzed. The results show that when the goaf of the working face is squared for the first time and squared for the second time, the roadway shows a trend of inward contraction, and the plastic zone is mainly concentrated around the roadway. The horizontal displacement of the mining side and the settlement of the roof show a trend of gradually decreasing and then tending to be stable. When the goaf is first and second square, within the monitoring range, the maximum horizontal displacement of the mining side has reached the breaking displacement of the conventional FRP anchor rod, but it has not reached the breaking displacement of the large deformation FRP anchor rod. The conventional FRP anchor rod does not meet the support requirements, and the large deformation FRP anchor rod meets the support requirements.

In order to effectively activate the dormant assets of oil fields, the abandoned oil and gas wells are transformed into coaxial cased heat exchangers to extract geothermal energy and realise the successive development of energy, taking a shut-down oil well in Dingbian County, Shaanbei as the study example, the borehole heat exchanger module of the open-source software OpenGeoSys was used to study its heat exchange performance. Effects of different circulation flow rates, inner tube diameters of heat exchanger, power of heat exchanger, and seasonal heat extraction cycles on the performance of the transformed well are analyzed. Results show that when the heat exchange power is fixed, a flow rate of 15 m³/h can both obtain a higher outlet water temperature and ensure a long-term stable operation of the heat exchanger, using different diameters, variation of water temperature at the outlet end of the inner tube is only 0.17 ℃. For every additional 50 W of heat exchange power per meter, the outlet water temperature at the end of the heating season decreases by about 17.55 ℃, with an average decrease of 0.35 ℃/W. When the heat exchange power is constant, for every one additional month of a heating season, the annual minimum outlet temperature decreases by about 1 ℃, when the heating season is 4, 5, 6, 7, 8 months, the time required for the outlet temperature to reach a quasi-steady state during the heating season is 15, 18, 21, 24, 27 years, respectively. In order to improve the heat exchange performance of the geothermal well, it is recommended that a seasonal cycle of 5 months of heat extraction and 7 months of well shutdown in Ordos Basin Area should be used, with a circulation flow rate of 15 m³/h and a heat exchange power of 100 W.

Consolidation plugging is an effective means to control drilling fluid leakage in oil and gas wells. Revealing the migration law of plugging slurry in wellbore-fracture and constructing continuous solidified body is one of the key problems to be solved in this technology. Therefore, the CFD numerical simulation method is adopted. A numerical model of vertical fracture consolidation plugging with dynamic change of wellbore pressure is established. The effects of density, plastic viscosity, yield stress, displacement and fracture opening of Bingham flow plugging slurry on the migration of plugging slurry were analyzed. The research shows that during the grouting process, the low-density plugging slurry preferentially enters the upper part of the vertical crack. The high-density plugging slurry preferentially enters the middle of the vertical fracture, and there is obvious mixing phenomenon. The plugging slurry migrates faster in the horizontal direction than in the vertical direction in the fracture. The plugging slurry with low viscosity is easier to enter the fracture. The higher the viscosity is, the longer the time for the plugging slurry to reach the same volume ratio at the fracture outlet is. The higher the volume ratio is, the lower the efficiency of plugging slurry replacing drilling fluid is. The effect of yield stress on the migration of plugging slurry in wellbore-fracture is not significant. The smaller the displacement or the larger the crack opening, the faster the instantaneous flow rate of the plugging slurry at the crack outlet increases, the larger the volume of the plugging slurry entering the deep part of the formation, and the smaller the volume of the plugging slurry required to reach the same volume ratio at the crack outlet. The results of numerical simulation have certain theoretical guiding significance for the formulation of curing plugging scheme.

In recent years, the medical radioisotope industry has been developing rapidly, the total amount of medical radioactive articles transported in China has increased, and the regulatory authorities have paid more attention to the safe transportation work. The national regulatory requirements and the current status of the use of type A package for the transportation of Class II radioactive articles for medical use in China, the design requirements and precautions for the package, the analytical demonstration and experimental verification of the package, as well as the approval of the design and manufacturing record were introduced. Some suggestions are put forward based on the current problems, hoping that the containers for the transportation of medical radioactive articles become more standardized, unified and safe, and promote the high-quality development of the medical radioisotope industry.

In order to study the deformation of high fill in the Dalin Railway Station, a typical cross-section was selected. Four rows of settlement plates and slope observation piles were buried in the high fill, and flexible displacement meters were installed on the geogrid at the foot of the slope. After more than two years of observation, it was found that after more than half a year of construction and filling, as well as more than 12 months of standing after completion, the settlement of the high fill tended to stabilize. The maximum percentage of settlement during the filling period to the total settlement is 69.05%. The test results of the observation piles on the left and right slopes show that the high fill slope is also stable, and the maximum proportion of settlement during the filling period is 99.77% of the total settlement. After the filling is completed, the deformation of the geogrid is basically stable, indicating that the slope is also stable. It is recommended to carry out subsequent construction 12 months after the completion of filling.

Combined with the construction case of the large-span circular steel box girder structure at the visitor reception center of Cuiping Mountain Scenic Area in Yibin City, the principle of high-precision assembly technology and key technical points of large-span circular steel box girders were introduced.3D modeling was used to assist in the factory processing of circular steel box girders, the design and installation of temporary support frames, the precise control of steel box girder hoisting and positioning through BIM(building information modeling) technology in conjunction with total station instruments, and the information-based monitoring of the welding process. These key technological processes have been implemented in the project, which not only shortened the construction period and saved costs but also greatly improved the installation accuracy. This has made the overall assembly of the steel box girder structure smoother and the visual effect of the shape better.

As a kind of self-supporting supporting structure, lattice diaphragm wall is used in soft soil areas such as ports, wharfs and shipyards in the past, but it is rarely used in complex hard rock strata. Taking Laiwushan slope support project in Longhua District of Shenzhen as an example, the construction site preparation, solitary stone treatment, rock entry process, steel cage hoisting, cross steel plate joint treatment and other key processes were discussed, which provide a reference for the construction of similar projects.

Vibrations generated by subway train operations have the potential to adversely affect the normal use of precision instruments within laboratories. In order to analyze the current state of vibration response at a laboratory site proposed to be built along the subway line, a study was conducted to test environmental vibrations and train-induced vibrations at the site. An integrated seismograph was used to verify the accuracy of conventional velocity sensors at low frequencies. The results indicate that the 941B velocity sensor demonstrates good accuracy for frequency bands above 0.6 Hz, which meets the vibration measurement and evaluation standards based on VC vibration criteria. When considering the comprehensive impact of environmental vibrations within a determined period, the current site’s vibrations are at a relatively low level, essentially satisfying the vibration requirements for most general-purpose equipment and the vast majority of precision instruments. Moreover, the ambient vibrations can significantly increase under the influence of certain instantaneous external vibration sources, but these effects are mostly within the 10 Hz or higher frequency bands. When a subway train passes, there is an increase in vibrational energy near 50 Hz, which is relatively favorable for passive vibration isolation.

The terrain and geological conditions in the mountainous area of western Sichuan are complex and changeable. Dangerous rocks are mostly developed in high and steep slope sections, which pose a serious threat to the safety of highway traffic after collapse. Taking the tail perilous rock of Qiaoqi Reservoir in Baoxing County of Ya’an City as an example, the basic characteristics of perilous rock were analyzed by means of UAV aerial survey and field investigation. Rocpro3 D software was used to simulate the three-dimensional kinematics to evaluate the collapse damage. The results show that the formation of dangerous rock in the working area is caused by the combined action of tectonic compression, rainfall erosion and weathering unloading. Strong rainfall and strong earthquake are the typical causes of dangerous rock collapse. The maximum impact energy after the collapse of dangerous rock in the working area is more than 5 000 kJ, and the removal of large-size dangerous rock can effectively reduce the impact energy value. After the collapse of the dangerous rock in the working area, it shows the stage motion characteristics of rolling along the slope → bouncing after hitting the road surface near the surface of the 351 national highway → stopping the accumulation of the riverbed and bank slope of the East River. The treatment scheme of dangerous rock removal+passive protection network+open hole+frame anchor rod can be used for prevention and control.

In order to objectively evaluate the county geological disaster risk information and provide an effective research basis for disaster prevention and reduction, the risk assessment was mainly carried out in the key research area of Kuancheng Manchu Autonomous County. Based on the data of field investigation, previous research and ArcGIS spatial software analysis results, AHP(analytic hierarchy process)-information method was adopted to select 11 evaluation factors for classified evaluation of key research areas, so as to ensure the objectivity and accuracy of the research. The research results comprehensively evaluated the impact factors from the three aspects of people, land and comprehensive vulnerability, and completed the detailed analysis of the main risk factors, risk coverage and key risk areas in the county. It is found that the areas with high risk of geological disasters are mostly concentrated in the villages and towns in the north of the county, covering a wide area, and the geological conditions of the risk areas are poor and seriously affected by rainfall. The vulnerability of disaster-bearing bodies is directly related to the production, life and property safety of residents. Most of the carriers are located in towns and mountainous areas, which belong to disaster-prone areas in this risk assessment, and should be paid attention to in disaster prevention and prevention.

Configuring distributed synchronous condensers in renewable energy collector stations is a viable approach to mitigating transient overvoltage at grid connection points. Traditional distributed synchronous condenser’s location and capacity selection strategies are mostly based on fixed output scenarios of renewable energy, ignoring the randomness of wind and solar power output at each node, making it difficult to ensure the effectiveness and adaptability of the strategy. In view of this, the maximum grid connected power of renewable energy based on confidence intervals was estimated. A multiple renewable energy stations short circuit ratio index that takes into account the randomness of renewable energy is proposed to quantitatively evaluate the voltage support strength of each node in the power grid. Based on this, a distributed synchronous condensers location and capacity determination strategy is formulated. Simulation results demonstrate that the proposed strategy can accurately ide.jpgy nodes with weaker voltage support capabilities under actual fluctuations of renewable energy outputs. Compared to conventional strategies, it proves more effective in suppressing transient overvoltage in the sending-end system, offering technical support for large-scale renewable energy integration into power grids.

With the global awareness of energy conservation, emission reduction and environmental protection, green building has become the development trend of the future construction industry. As an integrated design management tool, BIM(building information modeling) technology provides strong technical support for green building design. Based on this background, the application capability of BIM technology in the field of green building design and its impact on improving the sustainability of green building design were explored.The BIM application ability evaluation index system was established, then entropy weight method was adopted to assign weight, and fuzzy comprehensive evaluation method was used to evaluate the BIM application ability of a green building design team. Specific suggestions are put forward.

Aiming at the current carbon emission problem in the construction industry, a new type of high sound insulation assembled partition wall system is proposed. The system aims to respond to the national energy conservation and carbon reduction policy, improve construction efficiency, reduce costs, and reduce the generation of construction waste by optimizing the internal wall system. The research method the combination of experiment and simulation were adopted to verify the comprehensive performance of the system through laboratory test and field application. System design and material selection were explored, sound insulation performance test were conducted, and comparative analysis with traditional masonry and finished wall panels were carried out, which aims to promote the green and low-carbon transformation of the construction industry, and provide technical support for the sustainability of the economic structure.

Under the background of the construction of the digital twin Yellow River, the applicability of various intelligent devices as the basic components of the three-dimensional monitoring and perception system of the digital twin Yellow River, namely the integrated intelligent monitoring and perception system of “outerspace- sky-ground- water”(OSSGW) was studied. Using the device end as the target layer, a feature index layer was established to evaluate the cost-effectiveness and applicability of the device. The feature index layer includes three secondary evaluation dimensions, namely performance, economy, and usability, with a total of eight index factors. Six levels of index factor assignment criteria were established, and an index layer assignment matrix was created. Then, the entropy method is used to calculate the weights of each index factor, and the TOPSIS(technique for order preference by similarity to ideal solution) method was used for comprehensive applicability calculation to obtain the scheme layer, providing decision support for equipment selection.

In order to realize the prediction of safety risks for working in electric confined spaces, considering four risk sources including personnel, tools, environment,and management,the safety risk weight of different sources was calculated using analytic hierarchy process, meanwhile the actual safety conditions of risk sources were judged by subjective evaluation. Based on that, the final operating condition risk assessment method score was obtained by adjusting the initial LEC score. In particular, for environmental risk, the method assessed coupling risks from multiply kinds of toxic and harmful gases. A case study in electric confined spaces shows that the method is highly operable, presenting accurately quantitative evaluation on work risk level.

The social discount rate (SDR) is a critical parameter of investment appraisal and alternative scheme comparison. Through solving stochastic differential equation, a reference formula of measuring the SDR was presented by means of the equivalent return on stock investment and the long-term interest rate. With the data of the main western economies for set by some countries concerned,the SDRs are checked to match the results of the calculation. Such a test proves the feasibility of this approach. In the process of empirical analysis, it is found that there is the quadratic nonlinear regression correlation between the interest rate and the inflation rate, which raises question on the traditional linear rule of determination of the interest rate.

With the rapid development and transformation of the global economy, digital inclusive finance, as an important direction of new quality productivity, has a profound impact on the traditional mode of financial services and the vitality of regional markets, and provides new impetus and possibilities for the progress of urban technological innovation. Using the data of provincial level from 2011 to 2021, the two-way fixed effect model was used to empirically study the relationship between digital inclusive finance and urban technological innovation, and further analyze its mediating effect from the perspective of industrial structure. The results show that digital inclusive finance significantly promotes urban technological innovation, mainly by improving the industrial structure to enhance the urban innovation capacity. Based on the conclusions, some suggestions are proposed to help further anchor the goal of building a financial power and solidly promote high-quality economic development.

As the foundation of information industry, integrated circuit industry has become an important symbol to measure the comprehensive competitiveness of a country or region. Based on the statistical data of QI CHA MAO and PatNavi, quantitative analysis method was used to analyze the positioning of Hangzhou integrated circuit industry from two dimensions of enterprises and talents. The research shows that there are some problems in the integrated circuit industry in Hangzhou, such as the small scale of enterprises and the need to strengthen the introduction of high-end talents.Finally, based on the above analysis, the development and cultivation path of Hangzhou IC industry is formulated from three dimensions: enterprise, talent and collaborative innovation.And put forward policy suggestions.

With the increase of existing buildings, the comprehensive renovation of existing buildings plays an increasingly important role in reducing global energy consumption and carbon emissions. By analyzing the passive technology, active technology and renewable energy technology of the existing carbon reduction renovation, the application forms of the three types of technology strategies were summarized, and their differences in carbon reduction benefits in different types of renovation such as office buildings, teaching buildings and residential buildings were compared and analyzed. On this basis, the problems existing in the current low-carbon renovation technology strategies are put forward, which will provide theoretical reference for carbon reduction renovation of existing buildings and related research.

Based on the bibliometric software CiteSpace, the knowledge graph visualization analysis of 1 537 articles on supply chain network optimization sourced from the core library of the Web of Science (WoS) database from 2001 to 2023 was conducted to explore the research overview, hot spots and trends. It is found that there are many researchers and institutions in this field, and Chinese scholars have made significant contributions. The hot topics in this field are robust optimization, facility location, sustainability, etc. The future trend is multi-objective optimization, construction of sustainable supply chains and combine new technologies such as 5G networks, block chain, and a.jpgicial intelligence to help supply chain network optimization.

Using new improved entropy Right-TOPSIS(technique for order preference by similarity to ideal solution)model, Chinese manufacturing high quality development level from 2012 to 2020 was evaluated, the dimensions were analyzed, and the timing evolution characteristics of manufacturing development of high quality were summarized. Spatial analysis method was used to study the spatial distribution characteristics and evolution trend, and with the help of the Thiel index and its decomposition method, the development of the manufacturing high quality regional gap was studied. The results show that the overall level of high-quality development of China’s manufacturing industry is increasing, in the region, from the stability of the central region, the western region and the eastern region, from the spatial evolution analysis, there is some spatial agglomeration, from the regional gap, the overall gap of the manufacturing industry is increasing and then decreasing, and the regional difference is the main source of regional differences, and the eastern region is the main contributing region of the regional difference.

E-commerce channels are a crucial means for Xinjiang fresh apricots to expand market sales and improve efficiency. Analyzing market reputation based on E-commerce review texts can provide valuable market feedback for promoting the development of the Xinjiang fresh apricot E-commerce industry. Consumer reviews of Xinjiang fresh apricots from e-commerce platforms were collected and preprocessed. Subsequently, an in-depth analysis and mining of the review texts were conducted, including determining the sentiment orientation of the review corpus, extracting review themes based on the LDA (latent Dirichlet allocation) topic model, and quantitatively evaluating consumer reputation based on dependency syntax analysis and sentiment calculation. The study shows that consumer reviews of Xinjiang fresh apricots are predominantly positive. The three core themes extracted are fruit quality, logistics speed, and product price. Consumers are most concerned with the attributes of fruit taste and logistics speed, with the highest satisfaction in fruit sensory quality, general satisfaction with logistics, and the lowest satisfaction with price. Based on the research results, development suggestions were proposed for the fresh apricot e-commerce industry.

Traditional villages in the Mid-Spine Belt of Bea.jpgul China are abundant in tourism resources and have a high tourism value. Conducting tourist flow study helps to promote the preservation of traditional village tourism resources and rural revitalization in the MSBBC. Based on online travel data, ArcGIS and social network analysis techniques were used to examine the network structure features and the spatial and temporal distribution of the traditional village tourist flow in MSBBC. Findings indicate that short- and medium-term tourism dominates the tourism flow in traditional villages in MSBBC in terms of temporal distribution, with notable seasonal variations. The Yunnan village of Shuanglang serves as the hub of the entire geographical distribution pattern of the tourism flow. Three categories may be used to categorize the geographical distribution patterns seen in various provinces: “single-core and multipoint,” “dual-core and multipoint,” and “multi-core and multipoint.” The traditional village tourist flow network density in MSBBC is low. Traditional village tourism nodes have a rather loose link with one another, and they rely on non-traditional village nodes. Core nodes mainly belong to “mixed core type”, has no significant radiative effect on the edge node.

Wenshan Prefecture has unique natural and cultural tourism resources. It is of great significance to clarify the spatial distribution characteristics and influencing factors of A-level tourist attractions in Wenshan Prefecture for promoting global tourism and optimizing the spatial layout of local tourism. Taking Wenshan Prefecture as an example, the spatial distribution characteristics of A-level tourist attractions in Wenshan Prefecture was analyzed by using the nearest neighbor index and nuclear density analysis methods based on ArcGIS platform, and tries to explore the factors affecting the distribution of tourist attractions. The results show that in terms of spatial distribution, the A-level tourist attractions in Wenshan Prefecture are more in the north than in the south, and less in the east than in the west. It is concentrated in low-lying areas with an altitude of 1 000~2 000 m. The nearest proximity index is R=0.710 187 and R<1, indicating that the point elements of A-level scenic spots tend to condense and distribute, and Puzhehei Scenic spot is the core area of 5A scenic spots. The geographical detector explains that the spatial differentiation of A-level tourist attractions in Wenshan Prefecture is most influenced by rivers and topography. The interactive detection results show that the spatial differentiation of A-level tourist attractions in Wenshan Prefecture is influenced by multiple factors, which play A synergistic role in enhancing the spatial layout of the scenic spots.

In order to grasp the evolution of the distribution pattern of pocket parks in Nanchang from 2014 to 2024, the spatial and temporal evolution of pocket parks was quantitatively analyzed by combining landscape pattern analysis with ArcGIS spatial analysis. The research shows that the number and area of pocket parks in Nanchang City have increased significantly in the past ten years, and the overall development trend is “slow to fast”. The distribution of pocket parks at different scales is extremely uneven in quantity and area, and the growth of “small scale” pocket parks is the main one. It has gradually formed a spatial distribution pattern of “small scale”.

Based on panel data from 11 provinces in the Yangtze River Economic Belt from 2012 to 2021, the impact and mechanism of financial support for agriculture on farmers' income was empirically analyzed using spatial econometric models. It is found that financial support for agriculture has a significant promoting effect on farmers' income through the accumulation of rural human capital, and there is a significant positive spatial spillover effect. Relevant policy recommendations are proposed to expand the scale of fiscal support for agriculture, accelerate the formulation of policy measures based on spatial spillover effects, and improve the efficiency of the use of fiscal support for agriculture funds.

Based on the data of the 11 provinces in the Yangtze River Economic Belt from 2014 to 2022, the development levels of digital logistics and economic resilience were measured. The relationship between the two was analyzed using coupling coordination degree, spatial autocorrelation, and grey relational degree. The research shows that the comprehensive development index of economic resilience is higher than that of digital logistics, but the gap between them is narrowing. As a whole, the degree of coupling coordination has been increasing year by year, and there is a positive spatial correlation. From the perspective of driving factors, the proportion of added value of the tertiary industry has the greatest impact on its coupling coordination degree, and the smallest is the number of internet broadband access. Therefore, it is necessary to promote the coordinated development of digital logistics and economic resilience.

Selecting the relevant data from 2012 to 2021, the economic collaborative development level of each subsystem of Shenyang Modern Metropolitan Area, Liaoning Coastal Economic Belt, and the composite system of “One Area and One Belt” of Shenyang and Dalian was analyzed by measuring the economic correlation degree, order degree and synergy degree of cities. The results show that the economic connection intensity between Shenyang and its peripheral cities is relatively strong, while that of Dalian and its peripheral cities is relatively weak. The order degrees of each subsystem of Shenyang Modern Metropolitan Area and Liaoning Coastal Economic Belt both show a decreasing and increasing process, and the orderliness is developing continuously for the better. The synergy degree of the composite system of “One Area and One Belt” of Shenyang and Dalian is in a good synergy state, but there is still room for improvement. In the future, it is necessary to start from strengthening the radiation and driving effect of core cities, improving the orderliness of the development of each subsystem, promoting the linkage development of “One Area and One Belt” of Shenyang and Dalian, and optimizing the overall design, to improve the regional economic collaborative development level of Liaoning Province.

Selecting the panel data of Yiwu City for from 2015 to 2023, gray correlation analysis was applied to explore the effect of the dry port industry on the city’s economy. The results show that there is a high degree of correlation between Yiwu’s dry port industry and the city’s economic development, and Yiwu port’s dry port industry has a promotional effect on the growth of the economy of the city to which it belongs. On the basis of this research conclusion, the corresponding development strategy with pertinence, feasibility and in line with the provincial situation are put forward, in order to provide reference and reference for the construction planning of dry port and the direction of regional economic development of the relevant cities.

Turpan City is an important hub of the Silk Road and a historical city, with its rich natural and geographical advantages, has seen the culture and tourism industries play a central role in the economic development of Turpan City in recent years. The pursuit of high quality economic and social development has become more urgent with the implementation of the strategy of rural revitalisation. Taking the ethnic minority settlement area of Turpan City as the research object, the impact of economic and social development in Turpan City is analysed from the perspective of cultural and tourism integration based on the panel data of Turpan City from 2013 to 2022. The results show that the improvement of the degree of cultural and tourism integration can effectively promote the development of Turpan City's economy. Gaochang District, Shanshan County, and Tokon County differ in terms of resource distribution, geographic environment, and level of economic development, and with regard to the regional differences, the effect of the degree of cultural and tourism integration on the economy of Gaochang District is more obvious than that of Shanshan County and Tokon County.

In order to unify the standard system of smart airport construction and evaluate the development level of smart airport,the evaluation model of smart airport development level based on game combination empowerment-cloud object element is proposed, which will avoid the bias in the process of empowerment and is used to solve the problem of ambiguity and randomness in the evaluation indexes. The model was applied to an airport in Guangdong Province to evaluate the development level of smart airports, and the results show that the evaluation results of the indicators of the development level of smart airports derived from the model are basically consistent with the results of the field visit research and the actual situation, and the evaluation model has the practicability and validity, and it can provide a new way of thinking for the evaluation of the development level of smart airports.

As an important area of ecological protection and economic development, Dongting Lake Ecological Economic Zone plays a key role in the sustainable development of the Yangtze River Economic Belt. Based on the data of land use and energy consumption, the carbon income and expenditure of county land use in the economic zone from 2005 to 2020 were calculated. Based on the carbon balance analysis and evaluation system, the counties in the economic zone were divided into four types of carbon balance functional zones. The results show that the carbon emission of land use in Dongting Lake Ecological Economic Zone showed a significant growth trend.The carbon emission of land use in the economic zone shows the distribution characteristics of high in the east and low in the west, and the carbon absorption is high in the west and low in the east. Its distribution pattern is closely related to the land use level and energy consumption structure.

Digitalization and greening are the two major trends of the new round of scie.jpgic and technological revolution and industrial change, and they are also two epochal characteristics of the new quality productivity. Based on the panel data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2022, how digital transformation of enterprises empowers green innovation was studied. It is found that there is a significant promotion effect of digital transformation of enterprises on green innovation, which is more obvious for state-owned enterprises, low-financing enterprises, high-technology enterprises, non-resource city enterprises, enterprises in heavy pollution industry, and large-scale enterprises. The results of the mechanism of action suggest that digital technology can improve green innovation capacity by enhancing the transparency of corporate information and increasing R&D investment.

The relationship between digital transformation and audit fees was empirically examined using a sample of Shenzhen and Shanghai A-share listed companies. It is found that digital transformation leads to a significant increase in audit fees.Good internal control and firm size can negatively modulate the positive correlation between digital transformation and audit fees.Heterogeneity analysis shows that the positive correlation between digital transformation and audit fees is more significant for non-asset-intensive firms, non-heavily polluted firms, and high-tech firms. The conclusions will be able to provide certain experience for enterprises to promote digital transformation and help the flourishing development of digital economy.

Taking China’s ChiNext listed companies as the research object, the data from 2019 to 2022 was selected to examine the relationship between social responsibility and technological innovation on firm performance, and the changes of this relationship between private and non-private enterprises was explored. The results show that there is a significant positive correlation between corporate social responsibility and corporate performance.There is an obvious positive correlation between technological innovation and firm performance.The higher the level of technological innovation of the enterprise, the stronger the positive correlation level of its social responsibility to the performance level of the enterprise. Compared with non-private enterprises, private enterprises can promote the relationship between the three more. The research conclusions can serve as a reference for the formulation of strategic decision-making for enterprises.

The evolution process of the national and local policy system for promoting the transformation of scie.jpgic and technological achievements was summarized and sort out. The shortcomings and bottlenecks of the domestic university scie.jpgic and technological achievement transformation system were investigated and condensed. The international paradigm and typical experience of the United States, Germany, and Israel in promoting the transformation of scie.jpgic and technological achievements through integrated innovation of production and research were analyzed systematic suggestions and countermeasures are proposed from four aspects: policy guidance, direction refinement, innovation team building, and factor aggregation and integration. which provide decision-making basis for the government and universities to formulate policies to promote the transformation of scie.jpgic and technological achievements.

To explore the current situation of scie.jpgic and technological talents in Liaoning Province and analyze the factors influencing their work intentions, survey data from a segment of these talents was utilized and a structural equation model was employed. This model examines intrinsic motivators such as salary expectations,family capital, career expectations, job satisfaction, and organizational commitment, alongside extrinsic factors like talent policies, living standards, and urban development, to determine their impact on work intentions. Ultimately, some strategies are proposed to enhance the work intentions of scie.jpgic and technological talents in Liaoning Province, thereby laying a solid foundation and providing robust impetus for the province’s economic transformation and digital economy construction, fostering sustainable and high-quality economic development.

The update and progress of generative a.jpgicial intelligence technology represented by ChatGPT has brought profound changes to human lifestyles and production methods. While providing convenience for humanity, it also has potential legal risks, such as leading to the leakage and abuse of personal privacy information, triggering a series of intellectual property infringement issues. Around these issues, explore the ownership of intellectual property caused by generative a.jpgicial intelligence products. If the ownership of intellectual property is not determined, it will inevitably affect the interests of multiple parties. Therefore, it is necessary to timely determine the subjects who enjoy rights, assume obligations, and bear responsibilities through the improvement of laws and regulations. At the same time, a regulatory system should be established to strengthen the supervision of the entire generation process, and a punishment mechanism should be established to increase the crackdown on infringement behavior. Multi subject comprehensive linkage governance should be implemented to balance the interests of various subjects and regulate various intellectual property issues caused by generative a.jpgicial intelligence, including ChatGPT.

Taking national laboratories, research centers of universities and enterprise research from four typical countries in Europe, America and Asia-Pacific region as the research objects. Through in-depth analysis of their industry distribution and regional layout, their successful experiences and innovative models were summarized. It is found that the success of foreign scie.jpgic research institutions largely benefits from clear national strategic guidance, industry-university-research’s closely integrated ecosystem, flexible and efficient resource allocation mechanisms, as well as careful planning and policy support for innovative regions. At the same time, foreign scie.jpgic research institutions attach great importance to cross industry cooperation, form industrial chain synergies, and rely on regional characteristic resources to create industrial clusters with global competitiveness. Based on the above analysis, a series of inspirations and suggestions for the industry layout and regional development strategy of scie.jpgic research institutions in China have been proposed, emphasizing the need to strengthen top-level design, balance the regional layout of scie.jpgic research institutions, carry out technology research and development that adapts to regional innovation and development, and fully guarantee the autonomy of scie.jpgic research institutions, support and lead China’s scie.jpgic and technological innovation and high-quality economic and social development.

Taking major science and technology project organization mode as the main line, comprehensive summary on the situation of major science and technology projects in Dongguan was conducted to analyze the problems and the insufficiency.In order to promote the development of science and technology innovation can assign high quality, learning from advanced city experience, some suggestions are put forward, including focusing on the municipal special scheduling mechanism, strengthening key areas of research and development projects for the basic point, the foothold, innovation organization and management mode for the breakthrough point, optimizing the service guarantee system for support dimension, gradually exploring to establish the characteristic of Dongguan science and technology project organization mode.

The current situation and challenges faced by local research institutes in the field of technology transfer was studied, and the urgent need for establishing a performance evaluation system was elaborated. The findings revealed prevalent issues such as mismatches between research outcomes and market demands, shortages in talent for commercialization, inaccuracies in technology readiness level assessment, and weaknesses in capital operation mechanisms. In response to these challenges, a evaluation system was developed, encompassing critical dimensions including technology readiness, market adaptability, economic benefits, social impact, and innovation drive. Further validation through case studies demonstrated the system's significant effectiveness in enhancing the efficiency and quality of technology transfer, optimizing resource allocation, motivating researchers to actively engage in commercialization activities, and boosting regional economic development and innovation capabilities.

Based on the complex network method to build the 2001—2021 global copper trade network to describe its evolution characteristics, QAP(quadratic assignment problem) analysis was used to explore the impact of factors.It is found that the global copper trade network has a small-world character, and in part, Germany, China, the United States and Italy are the core nodes, in terms of influencing factors, the proximity of countries and the gap of economic development level will promote the copper trade significantly, and the larger the geographical and institutional distance will restrain the copper trade, the index of economic freedom, population and use of the same language will not have a significant impact. In view of this, it is suggested to strengthen cooperation with neighboring regions, increase R&D investment in technological innovation, and ensure the security and stability of China’s copper supply chain.

The open government movement has promoted the open sharing of government data around the world, and how to make better use of government open data to promote political democracy and social progress has become an urgent issue for discussion.Bibliometric analysis was conducted to explore the research context, cooperation, research hotspots and development trends of domestic and foreign scholars on government data openness since 2000. CiteSpace knowledge graph was used to conduct a comparative study on government data openness at home and abroad. It is found that foreign government data openness has better integration of different disciplines and a higher degree of data utilization, and has begun to try to apply a.jpgicial intelligence to the government data openness platform. Given the domestic and foreign comparison results, the following suggestions are put forward for the opening of domestic government data: strengthen the integration with a.jpgicial intelligence, strengthen the efficiency of data utilization and integration with other discipline systems, and finally sink from the government to the citizen side.

In order to further analyze the current research status of Chinese academic circles on community governance in the new era, CiteSpace software was used to analyze the number of publications, institutional cooperation, scholars, keywords and other aspects of the research literature on “community governance” collected by China National Knowledge Network (CNKI) from 2012 to 2023. It is found that the number of papers published in the field of “community governance” has generally shown an upward trend, but there are deficiencies. For example, the cooperation between research institutions and scholars is not close, showing an isolated state. Therefore, it is suggested to strengthen the research cooperation and exchange between research institutions and scholars, and use knowledge of various disciplines to study problems from different perspectives.

Data trading is an important form of data elements circulation. By constructing an evolutionary game model of “data trading platform - data providers - data demanders,” it is revealed that the data trading market exists in three equilibrium states: non-cooperation, inefficiency, and ideal. A higher initial willingness for technological innovation by the platform, a reasonable profit distribution coefficient, and a lower loss of competitive advantage can promote the system to evolve towards an ideal equilibrium state; whereas high data prices and technological innovation costs can lead the system into a state of non-cooperation or inefficiency. Therefore, the development of the data trading market can be promoted by enhancing the awareness of the subjects, establishing a fair and reasonable profit distribution mechanism and data product pricing, and supporting technological innovation in the platform.

With urban digital transformation accelerating, the role of smart property management in community governance becomes increasingly prominent. As a pioneer in smart property management, Shanghai is enhancing the community health evaluation system through digital means. However, the current system faces challenges in adaptability, accuracy, fairness, and deep analysis, requiring urgent optimization. This study analyzed the issues in the existing evaluation system and proposed optimization strategies. Flexible and personalized evaluation standards should be constructed to suit different community types, ensuring comprehensive and accurate assessments. Targeted evaluation methods should be adopted, focusing on residents’ subjective experiences and satisfaction to align scores with actual perceptions, thus improving fairness and comparability. Data analysis and mining capabilities should be strengthened to inject new impetus into grassroots community governance. By optimizing Shanghai’s evaluation system, other cities are provided with a reference to advance the digitalization of community governance, enhance residents’ quality of life, and achieve sustainable social development.

How leaders reduce employees’ sense of work alienation in uncertain environments is a hot topic of academic concern. Taking 494 employees as a sample and using a two-stage questionnaire, from the perspective of social exchange theory, the effect of leader perfectionism on employees’ work alienation, as well as the intermediary mechanism and boundary conditions between superior-subordinate relationship and emotional exhaustion in the relationship between the two were explored. The results show that leader perfectionism has a significant positive effect on employees’ sense of job detachment. Supervisory and subordinate relationships play a partial mediating role between leader perfectionism and job detachment. Emotional exhaustion positively moderates the effect of leader perfectionism on superior-subordinate relationships.

The deep evolution of the world economy and geopolitics, the complex international situation, and the profound changes in the global energy landscape pose enormous challenges to China’s energy security. The conceptual evolution and evaluation model methods of energy security were outlined. Indicators were selected from the four dimensions of energy availability, accessibility, affordability, and acceptability to construct an energy security evaluation index system. Entropy weight TOPSIS (technique for order preference by similarity to ideal solution) comprehensive evaluation was used to assess china’s energy security situation from 2007 to 2022, and it is found that the overall level of energy security in China is showing a trend of first decreasing and then increasing. In order to improve the level of energy security, countermeasures and suggestions are proposed.

With the slowdown of social and economic development and the solidification of social classes, young people in China are also facing severe multidimensional poverty. Based on the CFPS(China Family Panel Studies)2020 data, the AF(Alkire-Foster) method was used to construct the youth multidimensional poverty index through the dimensions of income status, education access, health level, living conditions, social exclusion and subjective well-being, and the relationship between Internet embeddedness and youth multidimensional poverty was explored. It is found that Internet embedding can significantly improve the multidimensional poverty situation of young people, and can indirectly achieve poverty alleviation by promoting the accumulation of social capital.

Born in the context of digitalization, digital trade is an emerging trade model, which is based on digital technology and transformed through the digitization of trade methods or trade objects.Digital trade in solving the time and space limitations at the same time also led to the emergence of digital trade barriers, which has become a major obstacle in the process of economic globalization. Reducing digital trade barriers and promoting the synergistic development of the global digital economy are of great significance to optimizing the global value chain and enhancing the efficiency of international trade. Focusing on the relationship between digital trade barriers and global value chains, relevant theoretical models were built based on previous research, the development trend of China’s digital trade under the background of “anti-globalization” was discussed, and corresponding countermeasures are put forward to address these issues.