A comprehensive indicator system for digital economy development was constructed, and provincial-level data from 2011 to 2021 were analyzed to explore the linear and nonlinear effects of digital economy on differently-skilled labor demand, with marketization level examined as a mediating variable in the linear pathway analysis and a random forest model was applied to investigate nonlinear relationships. The results show that the digital economy significantly increases high-skilled labor demand while reducing medium-and low-skilled labor requirements, and through marketization mechanisms, it primarily decreases medium-skilled labor demand and elevates high-skilled labor proportion, with nonlinear analysis revealing that high-skilled demand demonstrates initial marginal growth followed by stabilization, while medium-skilled and low-skilled demand undergoes marginal decline with subsequent low-level adjustments. Sectoral variations are also observed, as the industrial sector exhibits greater demand for high-skilled labor, contrasting with the construction sector. While medium-skilled labor shows higher affinity for service and construction industries, and low-skilled labor remains concentrated in agriculture-related sectors, highlighting the technology-driven skill restructuring effect of digital transformation across industries.

The multi-stage CONWIP system is a production method that combines push and pull strategies, effectively reducing inventory costs while meeting customer demand. Focusing on the number of buffers, buffer locations and buffer capacity sizes in a multi-stage tandem CONWIP system, With the objective of minimizing the sum of buffer establishment costs, semi-finished product inventory costs, work-in-process inventory costs, and finished product stockout costs, a corresponding mathematical model was constructed. The model was solved using a genetic algorithm combined with simulation. The simulation results indicate that the inventory costs of this system are lower than the Kanban system. A new perspective and solution isprovided for addressing buffer design in multi-stage tandem production CONWIP systems.

Aiming at the shortcomings of surface properties of CuW60 tungsten-copper alloy under extreme working conditions, laser modification technology was used to explore its influence on surface roughness and mechanical properties of the alloy. By finely adjusting the laser parameters, the microstructure, composition change of the modified layer and its correlation mechanism with the properties were analyzed. It is found that laser modification can significantly adjust the surface roughness of the alloy and enhance its mechanical properties such as hardness, which provides a new idea and method for improving the comprehensive properties of such materials. These rusults not only enriche the theoretical system of laser surface engineering technology, but also expand the application space of CuW60 tungsten copper alloy in the field of high-end manufacturing.

With the continuous advancement of the digital transformation and upgrading of traditional railways, accurately obtaining information on railway basic components from massive railway line data is of great significance for railway maintenance, management, and safe operation. The difficulty lies in extracting key features of the data in the target area without distortion. The digital technology based on unmanned aerial vehicle (UAV) photogrammetry provides a new way to obtain extensive data on railway basic components. The UAV was equipped with a high-precision camera to acquire image data and graphic data of the basic components along the railway. Based on the comparison of the actual effects of two general methods for segmenting railway basic components from these two types of source data, the graphic data was selected as the segmentation data source, and the segmentation algorithm was improved. The aim is to automatically segment the rail and other railway basic components within the threshold range from the overall railway line data, and an engineering example is used to verify the effectiveness and feasibility of the algorithm.

To improve the efficiency of unmanned ships in completing water quality monitoring in complex working environments, an improved A^* algorithm for global static path planning and an improved A * algorithm combined with artificial potential field method for local dynamic path planning were proposed. Firstly, the obstacles were inflated using a global algorithm, and the A^* algorithm was improved by expanding the node search neighborhood method, so that the search movement direction of the current path point was no longer limited to integer multiples of 45 °. To improve the ability of dynamic path planning, the path points planned by the A^* algorithm were used as local target points in the artificial potential field method. The artificial potential field method was improved by introducing distance factors and escape forces to solve the problem of unreachable targets and easy getting stuck in the minimum value. Finally, the effectiveness of the method was verified using Matlab. The results show that the unmanned ship could smoothly reach and pass through the water quality monitoring point. Compared with the traditional A^* algorithm, the obtained path is smoother and the distance is shorter, effectively improving the efficiency of water quality monitoring.

According to the challenge of monitoring the structural integrity of LNG storage tanks, persistent scatterer interferometric synthetic aperture radar (PS-InSAR) and small baseline subset InSAR (SBAS-InSAR) technologies were employed, sentinel-1A satellite imagery and digital elevation model (DEM) data were utilized to conduct deformation monitoring and stability assessment for an LNG terminal on an island in Guangxi, China. The results reveal three key findings. The maximum settlement occurrs in the LNG platform area in August, 2022, accompanied by slight uplift around the tanks. PS-InSAR detects annual deformation rates of -2.5 to 2 mm/year across 73% of the monitored area, while SBAS-InSAR indicats rates of -3.5 to 3 mm/year in 45% of the region, demonstrating overall deformation stability. Rainfall during the wet season shows a significant positive correlation with deformation magnitudes, where water infiltration increases soil pore pressure (reduced effective stress) and alters foundation bearing capacity, though no hazardous differential settlement is observed. The study demonstrates that radar interferometry enables millimeter-scale deformation monitoring across LNG storage facilities, providing critical technical support for operational safety in coastal areas with complex geological conditions.

As a new productivity tool, construction robots will help promote the development of new business forms and industrial upgrading in the construction industry. Aiming at the problems that the traditional building floor grinding equipment must be manually followed and controlled with low construction efficiency, an intelligent and automatic floor grinding construction robot was designed. The overall technical scheme framework and key technical principles of the robot was analyzed and explained. Then, through engineering application cases, the construction process of the floor grinding robot was described, and the comprehensive construction benefits of the robot and traditional equipment were compared and analyzed. The result shows that the comprehensive construction cost reduction rate of the robot is about 19.4%, which has a higher construction cost advantage. Finally, the social benefits of popularizing and applying the robot was elaborated as well.

Safety evaluation is an important prerequisite and guarantee for the development of railway dangerous goods transportation. Taking a special railway lithium battery transportation project in Yibinm Sichuan as an example, the project area was divided into 8 evaluation units, and the safety check list method and fault tree method were used to evaluate the safety, and the main disaster control factors and safety work points were discussed. The results show that the safety checklist method is suitable for the inspection events specified in the specification provisions, and the fault tree method can effectively analyze the cause of the event and the weight of the elements through the minimum cut set and the importance calculation. The safety guarantee of transportation and loading and unloading operation should pay attention to personnel standard operation, labor protection and safe location of operation area.

With the development of engineering in cold regions, it is important to accurately derive the thermoplastic parameters of soils under freeze-thaw conditions. In view of the large error of the commonly used BP neural network to predict the thermal property parameters, 120 sets of thermal property parameters of frozen and thawed soil were used as samples, and the prediction model was improved by Bayesian regularization method to establish a multi-input and multi-output BP neural network, and the prediction accuracy of the model was significantly improved. Sensitivity analyses of the Bayesian neural network and random forest model were carried out with the improved Monte Carlo method and SHAP interpretation, respectively. The results show that the freeze-thaw condition does not change the sensitivity ranking of the influencing factors. The sensitivity of volumetric heat capacity and thermal conductivity to water content, dry density, and soil quality decreases in the order of freezing and thawing state, and the sensitivity of thermal conductivity to soil quality, water content and dry density decreases in the order of soil quality, water content and dry density.

Medium-depth geothermal energy is one of the important clean heating energy sources because of its large heat storage capacity, good stability and wide distribution range. When using medium-depth geothermal energy for heating, considering that a certain amount of cold build-up will be generated at the bottom of the medium-depth buried pipe, the stratum heat supply capacity will continue to decay with time, i.e., the water supply temperature of the geothermal wells will be gradually reduced with the extension of time. Especially in the uninterrupted heating operation mode, the stratum heat recovery capacity is limited, how to maintain a constant heat load at the user's end under the variable temperature heating condition at the ground source side has become an urgent problem to be solved. A single heating strategy is difficult to meet the heat load demand under the variable temperature heating condition of geothermal wells, therefore, the optimisation strategy of gradient heating was proposed, which could maximize the extraction of stratum heat, convert low-grade heat source into high-grade heat source, improve the efficiency of heat extraction and reduce the operating cost at the same time compared with the former. Finally, the application and analysis of the heating strategy were combined with the pilot demonstration project of medium and deep geothermal energy building heating in CCTEG Xi’an Research Institute(Group) Co. Ltd.. The results show that the the average energy consumption of the heating system for the full heating season is 57.2 kW, and the average energy-efficiency Ratio is 21.16, which has certain guiding significance for the efficient heating application of medium and deep geothermal energy.

Based on the data of tourism transportation, tourism accommodation and tourism activities, the carbon emissions of Xi’an's tourism industry from 2010 to 2021 was calculated using the “bottom-up” method. A decoupling model was constructed using the Tapio decoupling index, and the decoupling effect between carbon emissions and tourism economic growth was explored. The results show that the carbon emissions from tourism transportation are the main contributor of the carbon emissions of the tourism industry in Xi’an. The overall carbon emissions of Xi’an's tourism industry showes a downward trend, while there is still considerable room for improvement. The relationship between tourism carbon emissions and economic growth in Xi’an predominantly demonstrates a state of decoupling, indicating significant potential for further carbon reduction.

Taking seven popular BYD models as research objects, 27 283 long-text reviews from AutoHome and DongCheDi were collected. Effective short texts were extracted using the DeepSeekV2 model, followed by BERTopic modeling to identify key consumer focus areas, including pure electric performance, blade battery and noise control. The experimental results reveal that consumers give positive feedback on battery technology and range capability but express concerns about comfort-related issues such as tire noise, wind noise and interior odors. The contributions of this study include proposing the use of the DeepSeekV2 model to split long texts, enhancing the adaptability of BERTopic in data analysis,and combining semantic embedding and hierarchical clustering techniques to uncover consumers’ multidimensional concerns and their structural relationships.

Taking the Shanghai and Shenzhen A-share listed companies from 2012 to 2022 as an example, the relationship between the degree of enterprise digital strategic commitment and the risk of stock price crash was discussed. The results show that high-level digital strategic commitment can reduce the risk of stock price crash, and reveal the mechanism of information asymmetry in the influence between enterprise digital strategic commitment and the risk of stock price crash. By exploring the economic consequences of enterprise digital strategic commitment and the influencing factors of the risk of stock price crash, this study can fully realize the potential economic value of enterprise digital strategic commitment and promote the realization of high-quality development goals of enterprises and capital market.

Aiming at the problem of information asymmetry among members of agricultural products supply chain, the Stackelberg game model of wholesale sales and agency sales was constructed by introducing brand building variables,and the pricing strategy and sales model selection in agricultural products supply chain were explored. The results show that under different market demands,the optimal pricing of green agricultural products is affected by the substitutability rate between the two agricultural products, and the commission rate and high market demand probability jointly affect the choice of the optimal sales model of cooperatives and e-commerce platforms. A suitable cooperative sales model is helpful for cooperatives and e-commerce platforms to achieve a win-win situation.

At present, Guangxi agricultural industry is facing the dilemma of large but not strong, and it is urgent to explore effective strategies for industrial upgrading and transformation in order to promote the high-quality development of agricultural economy. In order to explore the path of high-quality agricultural development in Guangxi, Wuming mandarin orange was taken as a case study to explore the mechanism and depth of its three-chain fusion. It is found that the three-chain integration effectively promoted the upgrading and transformation of the citrus industry. Under the guidance of the government, Wuming mandarin orange industry builds smart agriculture through the integration of production, learning and research, and cultivates a group of leading enterprises to drive farmers to produce and plant, which initially shows the “smart orchard” planting and production management mode of intelligent data. At the same time, the introduction of intelligent processing equipment and modern marketing management, in order to enhance the competitiveness of the downstream industry. In the process of the construction of smart agriculture, the three chains gradually integrated with each other, and the degree of integration is continuously deepened. Finally, by constructing the fuzzy evaluation index system of three-chain fusion, the current three-chain fusion of the mandarin orange industry is evaluated, and it is concluded that the three-chain fusion of the citrus industry is in the cultivation stage, and the depth of the integratation of the three chains needs to be further enhanced.

Panel data of 30 provinces (Due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) in China from 2013 to 2022 were selected to construct the index system of new quality productivity development, and the entropy method was used to measure the index system to explore the impact of new quality productivity on cultural product exports. The empirical analysis shows that the development of new quality productivity has a significant promotion effect on the export of cultural products, and the conclusion is still valid after the robustness test and dealing with the endogeneity problem. The promotion effect of new quality productivity on the export of cultural products shows obvious heterogeneity effect in terms of geographic regions and the degree of opening up to the outside world, and the promotion effect is more significant in the middle-eastern region and the region with a high degree of opening up to the outside world. The further mechanism test shows that the new quality productivity can promote the export of cultural products by improving the level of regional scientific and technological innovation.

Investment in new infrastructure facilitates green transformation of industries and promotes green economic and social development. Using panel data of provinces from 2013 to 2022, a comprehensive evaluation system of new infrastructure and green transformation of industries was constructed. Based on the coupling coordination degree model, the results indicate that the development levels of new infrastructure and green transformation of industries have steadily increased during the research period, with the coupling and coordination degree gradually evolving towards a coordinated state. The development of the new infrastructure and green transformation of industries exhibits significant regional differences, with outstanding performance in the east and lower comprehensive development in the central, western and northeastern regions. While the level of green transformation in most resource-based regions has improved, they are still lagging behind the national average level. Overall, the coupling coordination level displays a pattern of high in the east and low in the west.

To explore the emerging research field of cross-border e-commerce, a bibliometric approach was adopted to conduct a comprehensive analysis of relevant literature on cross-border e-commerce in CNKI. The analysis covered the publication trends of cross-border e-commerce, the cooperation among major research institutions and core authors, as well as the current research hotspots and frontier shifts. The study finds that the research process of cross-border e-commerce can be divided into three stages such as initial sprouting, vigorous development and mature optimization. During this period, although some research institutions and authors have initially formed a cooperation network, the depth and breadth of cooperation still need to be improved. The research focus has gradually shifted from topics such as cross-border logistics and the Belt and Road Initiative to areas such as the digital economy, digital trade and expanded opening up. Future research on cross-border e-commerce should focus on areas such as the digital economy, digital trade and expanded opening up, and strengthen cross-university and cross-regional cooperation to enhance the innovation capacity of research.

In order to enrich the materials for studying the landslides dam and dammed sediments in the Dadu River Basin. The newly discovered the Hetaoping landslide dam in the middle reaches of the Dadu River was studied. The landslide characteristics, the weir depositional characteristics of the river blockage formation and the landslide formation mechanism were studied through detailed field geological investigations and profiling methods. The field investigation results are as follows. The Hetaoping landslide dam plane area of 2.5 km², the total volume of about 400×10⁴ m³. The phase change characteristics exhibite vertically in the weir depositional profile reflect that the weir has undergone the evolutionary process of formation, deposition and outburst, and that the landslide has locally occurred multi-phase sliding characteristics. The formation mechanism of the Hetaoping landslide dam is divided into four stages, that is unloading rebound stage → dumping deformation stage → dumping expansion fracture stage → landslide formation plug river stage.

The development of advanced manufacturing clusters is an inevitable requirement for Shandong to build a strong manufacturing province, and it is also an important focus for overall development and security. In the context of the unstable global political, economic and trade environment, the resilient development of advanced manufacturing clusters will become the key to resisting risks and promoting growth. On the basis of combing the development effectiveness of advanced manufacturing clusters in Shandong Province, the shortcomings and bottlenecks faced by the development of clusters were analyzed, the mechanism framework for the formation of the resilience of advanced manufacturing clusters were studied and proposed. Countermeasures and suggestions are put forward for improving the resilience of advanced manufacturing clusters in Shandong Province from the three levels of promising government, effective market and strong society, in order to provide an effective reference for promoting the advanced manufacturing industry in Shandong to move towards the middle and high-end and improving the resilience and safety level of the industrial chain and supply chain.

Based on data from 50 manufacturing listed companies in Henan Province from 2019 to 2023, the DEA-BCC model and Malmquist index were employed to evaluate corporate operational performance from both static and dynamic perspectives. The findings reveal that the average comprehensive efficiency of the 50 manufacturing listed companies in Henan Province during from 2019 to 2023 is 0.834, primarily constrained by pure technical efficiency and scale efficiency. The total factor productivity of the sample companies is less than 1 and showes an overall declining trend, mainly due to a decrease in the technological change index. Based on these results, several recommendations are proposed for the future development of Henan's manufacturing sector, aiming to address regional development imbalances and enhance corporate operational performance.

Coordinated development is the inevitable requirement and driving path for the three major industrial clusters of electronic information, automobiles, and equipment manufacturing to achieve high-quality development and cultivate world-class industrial clusters. An in-depth analysis of the current status of the coordinated development of electronic information, automobile and equipment manufacturing industrial clusters in the Chengdu-Chongqing region was conducted. The research finds that Chengdu-Chongqing region has achieved good results in regional linkage, industrial chain cooperation, collaborative innovation, talent training and shared cooperation. However, it still faces problems and challenges, such as homogeneous industrial structure, weak industrial chain, insufficient innovation resources, unbalanced talent finance and low digital collaboration. Therefore, corresponding countermeasures and suggestions are put forward from six aspects, such as industrial planning coordination, industrial chain cooperation, innovation resource aggregation, talent policy collaboration, financial integration and industrial digitalization.

Glaciers serve as indicators of climate change, and their changes in reserves and distribution have significant impacts on downstream ecology and human security. Taking A’nyemaqen mountain as the research area to study its changing characteristics, reference was provided for regional ecological environment protection and economic and social development. Using Landsat data and Sentinel-1A data to extract the area and surface velocity of the A’nyemaqen glacier, combined with temperature and precipitation data from two nearby meteorological stations in the study area, the relationship between glacier changes and climate in the region from 2014 to 2020 was analyzed. From 2014 to 2020, the number of glaciers increased from 80 to 85, an increase of 5 glaciers. The glacier area has retreated from 98.46 km² to 86.58 km², a retreat of 11.88 km². The A’nyemaqen Glacier shows an overall trend of retreat, with glacier flow velocity greater at the central axis than at the two wings and gradually decreasing from high to low altitude to the end of the ice tongue. The temperature and precipitation in the research area have shown an increasing trend, with a more significant increase in precipitation. However, the glacier area still shows a shrinking trend, indicating that the amount of glacier melting is greater than the cumulative amount.

With the rapid development of mountain highway construction, frequent high-positioned collapse disasters have posed serious threats to road traffic safety. Based on a typical high-positioned collapse case along a highway in the western Sichuan Plateau, geological surveys and numerical simulation analysis were employed to reveal the formation mechanisms of high-positioned collapses, analyze collapse energy, and propose a hierarchical passive protection combined with monitoring prevention method. The results indicate that unfavorable topographic and geological conditions serve as fundamental factors, with long-term weathering exacerbating structural plane deterioration. Rainfall acts as a triggering factor, where rainwater infiltration induces creep deformation of unstable rock masses leading to collapse development. The prevention method utilizing passive nets, open-cut tunnels, and intelligent monitoring systems proves effective for collapse control. This protection scheme can be promoted for application in canyon geomorphological regions.

Since the reform and opening-up policy was implemented in 1978, China has loosed its household registration policy and rapidly advanced the construction of urbanization. The pattern of population migration has shifted from planned migration to autonomous migration. The Jiangsu-Zhejiang-Shanghai region has experienced a significant increase in the scale of the in-migration population, thence it is highly meaningful to research its driving mechanisms. Based on the in-migration data in the sixth population census, a multivariate linear regression model was constructed by the independent variables, such as the resident population, per capita GDP, per capita employment wage, per capita medical beds, population with a college degree or above and distance. Furthermore, the hierarchical Bayesian theory was introduced to reduce the indeterminacy of parameter estimation. The results show that economic factors serve as the primary driving force. Population factors, the education factor and distance factor also play important roles, while the medical factor has a relatively weak effect.

In order to study the deformation and failure mechanism of a high steep slope under underground excavation, the influence of different locations of tunnel excavation on slope stability was analyzed by using the finite element sliding surface stress method, and the failure mechanism and deformation characteristics of slope instability induced by underground excavation were systematically studied. The results show that the underground excavation destroys the original equilibrium system of the slope, redistributes the stress of the slope in the influence range of the excavation, and creates new tensile stress regions, compressive stress regions and shear stress regions in different areas of the slope, which causes adverse additional displacement on the surface and internal points of the slope, and thus has a significant impact on the stability of the slope. According to the position relationship between underground excavation holes and sliding surface, slope instability induced by underground excavation can be divided into four types, which are local slope collapse, slope A-type slip, slope B-type slip and slope C-type slip, and the failure process and mechanical mechanism of each type of instability are revealed.

Taking the backfilling station for the Chifeng NFC Baiyinnuoer Mining Co. Ltd. as an example to resolve the problems of uneven bottom flow concentration and slow settling speed of tailings particles during the coagulation and settling process of total tailings, various candidate anionic polyacrylamide flocculants were subjected to tailings static coagulation and settling tests to select the most suitable flocculant type. Finally, the coagulation effect was verified through industrial experiments, and the addition parameters were optimized. The results show that the optimal flocculant type for settling the total tailings of the mine is SNF1055SH. When the concentration of the total tailings slurry is 14%, the flocculant solution concentration is 2.5‰, and the flocculant dosage is 30 g/t, it can ensure that the bottom flow mud layer of the deep cone thickener is uniform and the top overflow water is clear.

In construction projects, procurement suppliers not only affect the quality and progress of the project, but also directly affect the cost of the project. How to select high-quality suppliers that meet project requirements from numerous suppliers has become an urgent problem to be solved. Based on this, a research on the selection of construction project procurement suppliers based on ANP+VIKOR algorithm was proposed. Taking into account multiple factors, a multi-dimensional supplier selection indicator system was constructed, and the indicator data was standardized. The ANP algorithm was used to clarify the relationship between each indicator and the weights of the indicators were calculated. The VIKOR algorithm was used to calculate the group utility value and individual regret value of each supplier, and the compromise value of each supplier was obtained, and the suppliers were ranked. Case analysis shows that the studied method can stably select the optimal supplier and exhibits relative insensitivity to changes in decision mechanism coefficients, demonstrating its reliability and practicality in practical applications.

Technology-based talents are an important support for the development of new quality productivity. Local technology legislation should create a favorable legal environment for the development of technology-based talents. Based on legislative texts, a comparative analysis was conducted on the chapter design, standardized objects and regulatory content related to technology-based talents in the comprehensive science and technology regulations of eleven provinces and cities. On this basis, it is proposed that local efforts to strengthen legislation on technology-based talents should be regulated in the form of a whole chapter, clarify the legislative norms and form a complete legislative system with talent work as the main content, in order to provide useful inspiration for local construction of a technology-based talent legislative system that adapts to new quality productivity.

Based on the data of A-share listed companies from 2013 to 2022, the multi-period DID method and the central ecological environment protection inspection were used as a natural experiment to analyze the impact mechanism of the “combination of coercion and public participation” type of environmental accountability on the financialization of enterprises. The study finds that environmental accountability significantly inhibits the financialization of heavily polluting firms. Its path of action is realized through improving the quality of environmental information disclosure. Corporate technological innovation positively strengthens the inhibitory effect of accountability on financialization but does not modulate the mediating effect of information disclosure. The heterogeneity analysis shows that the inhibitory effect of environmental accountability is more significant under the high level of marketization and the strong linkage between the government and the enterprises.

Intellectual property protection and scientific research investment are important policy tools to promote scientific research in colleges and universities. Based on the perspective of policy mix, the relevant provincial data from 2008 to 2022 was used, and the propensity score matching method was applied to study the absolute effect and incentive effect of different policy mix on the scientific research output of universities, and heterogeneity test by region was conducted. The results show that the policy combination of high intellectual property protection and high scientific research investment has a significant role in promoting the scientific research output of universities. Compared with high IPR protection and low IPR protection and high IPR protection, high IPR protection and high IPR protection have a greater role in promoting the scientific research output of universities.

The policy of adding deduction for R&D expenses has a broad impact on high-tech enterprises, especially on their innovation activities.High-tech enterprises from 2014 to 2023 was taken as the research object to examine the impact of the R&D expense plus deduction policy on enterprise innovation. The results of the study show that enhancing the intensity of the policy has a more significant incentive effect on both R&D investment and innovation ability of high-tech enterprises. These effects are heterogeneous in terms of enterprise size, that is the incentive effect on innovation is better for large-scale enterprises. Based on the conclusions of the study, it is recommended to further increase the proportion of R&D expenses plus deduction, optimize the design of tax incentives to take into account enterprises of different sizes, and establish a perfect policy evaluation and feedback mechanism to provide a good platform for enterprise innovation.

With the increasingly widespread application of artificial intelligence (AI) technologies, more and more people are concerned about whether machine intelligence will replace traditional human labor. However, while there are concerns, the relationship between AI and traditional labor is not entirely mutually exclusive. They can cooperate under certain conditions. The BP neural network was applied to conduct a comprehensive evaluation of ChatGPT performance satisfaction, analyze the public's satisfaction with ChatGPT's performance, and provide references and suggestions for the future co-development of ChatGPT with humans. A satisfaction survey was conducted among 11 high-tech industrial parks and university students in Hangzhou, exploring the public's satisfaction with ChatGPT's generated language quality, knowledge accuracy, context understanding ability, model response speed, controllability and interpretability. In the prediction of public satisfaction, the BP neural network performs well in four indicators, such as accuracy, recall, harmonic mean and F1-score during model testing. The result shows that ChatGPT's context understanding ability, controllability and interpretability are important influencing factors of ChatGPT performance satisfaction. In the future, ChatGPT should further strengthen training and optimization in these three aspects.

In recent years, China has begun to regulate real estate prices based on monetary policy. In order to study the impact of monetary policy on real estate prices, the QVAR model was used to explore the impact of monetary policy factors on real estate price changes by using quantile impulse response graph and variance decomposition. The monetary policy used the quantitative monetary policy, the money supply M2 and the price-based monetary policy, the interbank interest rate as the standard, and the real estate price from 2003 to 2023 as the impact variables, and the M2 growth rate and the interbank interest rate were used to make quantile impulse response function graphs and variance decomposition analysis based on the QVAR model for real estate prices. The results show that quantitative monetary policy is negatively correlated with real estate prices in the short term and positively correlated in the long term, and price-based monetary policy is negatively correlated with real estate prices, and the influence of money supply on real estate prices accounts for a larger weight.

To study the mechanism of the effect of higher education on economic growth, Based on the panel data of 30 provinces in China (due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) from 2010 to 2021 was used. This role of technological innovation in the impact mechanism of higher education was firstly explored by using the mediation effect, and then the relationship between higher education and economic growth was empirically analyzed by using the spatial error model. The results show that in the mediation effect test, all variables passed the significance test. From a spatial perspective, there are regional differences in the role of technological innovation in economic growth. Therefore, the mediating effect of technological innovation is the pathway through which higher education plays a role in economic growth.

The overall victory in the battle against poverty indicates that China has comprehensively solved the problem of poverty, but some residents still have the risk of returning to poverty. In order to avoid this phenomenon as much as possible, the Party Central Committee clearly proposed to actively establish a monitoring mechanism to prevent returning to poverty. It constructs the rural poverty return monitoring index system and EGM-Markov poverty return risk early warning model, forecasts the development trend and divides the early warning level, and takes YS County of Heilongjiang Province as a case to verify the feasibility of the model. In addition to establishing a long-term assistance mechanism, stimulating the endogenous motivation of the poor is very important to avoid returning to poverty.

Public data ownership confirmation policies, as an administrative regulatory tool, play a significant role in promoting the further openness and utilization of public data. 11 policy texts related to public data ownership confirmation issued by the three northeastern provinces of China was evaluated. A policy evaluation index system was constructed, and the PMC index model was applied for quantitative assessment. The results indicate that the overall policy level is close to satisfactory. However, issues such as low attention to policy content and feedback mechanisms, insufficient flexibility in policy design, and a relatively narrow policy perspective persist. Based on these findings, optimization pathways are proposed, including benchmarking to address internal shortcomings, enhancing short-term policy adjustments, broadening stakeholder participation, and expanding the horizons of policy formulation.

The Huailiangzi landslide has experienced significant deformation under continuous heavy rainfall, posing a serious threat to the safety of residents’ lives and property. Based on detailed geological surveys, a landslide numerical model was constructed using the finite difference method and a coupled seepage-stress analysis approach was employed to investigate the stability of the landslide, as well as the evolution characteristics of the seepage field and displacement field under different rainfall scenarios. The results show that the Huailiangzi landslide is generally stable under natural conditions. However, under the influence of external adverse factors such as heavy rainfall, the stability of the slope significantly decreases. In particular, under continuous rainfall, the increase in pore water pressure is substantial, significantly increasing the likelihood of overall landslide movement. The findings provide important theoretical support for early warning systems and mitigation engineering of similar landslides.