In order to solve the problems of weak internal motivation and insufficient resource capabilities in the ESG(environmental, social, and governance)development of Chinese enterprises, grounded theory was used to conduct a textual analysis of ESG reports from 102 A-share listed companies between 2020 and 2023. A dual-dimensional analysis model was constructed encompassing management attitude (“words”) and capital investment (“deeds”), with manual coding of the above ESG reports via Nvivo12 software, and statistical analysis of their patterns and trends. Key findings include from the perspective of management attitude, the sample companies currently focus on compliance ESG construction and institutional safeguards instead of strategic ESG development. From the viewpoint of capital investment, the sample firms’ inputs in the three ESG dimensions are significantly unbalanced, especially the environmental and governance dimensions that are under-invested. Through dual-dimensional cross-analysis, it is found that the “words” of enterprises do not match their “deeds” at this stage, but the current compliance management can be transformed into future strategic development. Industry comparative analysis shows significant differences between industries with high and low ESG ratings in both “Words” and “Deeds” dimensions, necessitating coordinated efforts to promote integrated collaboration between emerging and traditional industries. Accordingly, tripartite improvement pathways of corporate ESG construction are proposed for enterprises, government, and capital market.

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

To understand and grasp the impact of the planned project on the atmospheric environment of Yumen City and the surrounding counties and cities after its completion, the WRF-Chem model method was used to study the PM2.5 and O₃ concentrations in Yumen City after the completion of the project. Two scenarios were predicted. Scenario One, where the total amount of waste gas generated in the industrial park after the completion of the project is 3 127.75 t/a, and Scenario Two, where the total amount of waste gas generated is 5 112.74 t/a. The model simulation results indicate that during the planning period, the 8-hour average concentration of O₃ at each environmentally sensitive point, when added to the current concentration, meets the standards under the guaranteed rate. Under Scenario One, both the daily average and annual average concentrations of PM2.5, when added to the current concentration, meet the standards. Under Scenario Two, the daily average and annual average concentrations of PM2.5 at the boundaries of the Mahuangtan core area, Mahuangtan buffer zone, and the experimental area of the Nanshan Nature Reserve exceed the standards when added to the current concentration, while other sensitive points meet the standards. To meet the control targets of the planning area, it is recommended to implement stricter pollution source reduction measures to ensure continuous improvement of PM2.5 concentrations.

Regarding th special seismic response characteristics exhibited by super long-span bridge, a long-span continuous rigid-frame bridge was focused on as the research subject. A three-dimensional finite element model was established, and incremental dynamic analysis (IDA) was performed to systematically investigate the dynamic response characteristics under bi-directional and tri-directional seismic excitations. The results indicate that under bi-directional seismic excitation, the main pier exhibits a 43% probability of slight damage at PGA=0.4g. After incorporating vertical seismic excitation, the main pier shows a 22% probability of slight damage at PGA=0.2g, with the exceedance probability of complete damage state increasing by approximately 25%. Regarding the bearing system, the introduction of vertical seismic excitation significantly accelerates the damage progression rate, reaching a 100% probability of slight damage at PGA=0.4g.

The utilization of photovoltaic power generation represents a pivotal strategy for the transition of traditional energy systems towards decarbonization, and is of paramount importance in achieving global climate goals. A social network analysis was employed to examine the evolutionary characteristics of the global PV power generation trade network, based on the trade data of global photovoltaic devices from 2012 to 2021. The analysis aims to elucidate the basic situation and development trend of this network. It was found that during the period from 2012 to 2021, the global PV power generation trade network underwent substantial development and expansion, with trade links between countries becoming increasingly close. The trade network is distinguished by high aggregation and short path lengths, exhibiting pronounced “small-world” characteristics. The nodes of the global PV power generation trade network exhibit a stable “core-edge” structure. Concurrently, China’s central position is becoming increasingly evident, and its pivotal role in the global PV power generation trade network is intensifying. This has positioned China as a pivotal force in the advancement of trade in this field, with the center of gravity of trade activities demonstrating a tendency towards an eastward ascendance and a westward decline.

Addressing the issue of large rock block detachment during TBM (Tunnel Boring Machine) construction in unfavorable geological conditions at a metal mine in Jiangxi Province, China, the horizontal thrust force of the gripper shoes was systematically analyzed for the first time to reveal its mechanism of inducing tensile failure in surrounding rock, based on the PLAXIS 3D finite element simulation platform and field observations. An optimized support scheme combining “pre-grouting reinforcement and rock bolt-mesh-shotcrete support” was proposed. The study reveales that during TBM construction in Class V rock mass conditions, tensile failure zones developes on the tunnel roof and progressively expandes as the TBM advanced, leading to roof collapse phenomena observed in the project. The support optimization analysis compared three scenarios, such as no support, “rock bolt+mesh+shotcrete” (referred to as bolt-mesh-shotcrete support), and “pre-grouting reinforcement+bolt-mesh-shotcrete support.” Results show that the pre-grouting reinforcement scheme significantly enhances the stability of the surrounding rock, reducing the maximum roof deformation by 21.83% and the final deformation by 36.72%. While bolt-mesh-shotcrete support alone has limited effectiveness, it effectively restraines further deformation of the surrounding rock and prevents the detachment of loose rock masses. It is recommended that in similar TBM tunnel construction scenarios in metal mines encountering unfavorable geological conditions, the combined use of pre-grouting reinforcement and bolt-mesh-shotcrete support should be adopted to improve construction safety and efficiency.

In the future, the characteristics of technology transformation and industrialization in the industrial field are long, and the risks are large, which puts forward new requirements for incubators and other business incubation carriers. Using field investigation, case analysis and other research methods, this paper sorted out the future technological innovation, future industrial growth mechanism and demand for incubation services, analyzed the current situation of incubation carrier construction and development, and the challenges faced by the supply of technological innovation and entrepreneurship services in the future. The research shows that the incubation vector is relatively insufficient in quality project screening and mining, innovation resource matching, professional service supply and other aspects. It is suggested to adjust and optimize from the aspects of promoting market-oriented operation, strengthening the recruitment of quality projects, and building professional service platforms.

In order to solve the problem of low accuracy and great lag in the inspection of hollow filter bar end face, a vision inspection system for hollow filter bar end face was studied based on machine vision technology. Using PLC to read the pulse signal on the encoder in real time, the industrial array camera was triggered to collect the image of the end face of the hollow filter bar. Image optimization technology was used to process the image of the filter bar end face to ensure the image quality. The dimension and roundness of the end face of the hollow filter rod were measured by using the least square method. Through the method of template matching difference, whether there are defects in the end face of the hollow filter rod is detected, and the alarm is displayed on the man-machine interface. The test results show that the system can detect the dimensions, roundness and defects of the end face of the hollow filter rod in real time, and the detection accuracy can reach 99% at different speeds, which lays the foundation for automatic visual inspection of the filter rod and improves the qualified rate of the product.

ESG ratings from Bloomberg(2006—2022), Huazheng(2009—2023) and China’s listed companies as samples were used. Correlations of ESG scores, ESG in different industries, and heterogeneity analysis of ESG was explored. Empirical results show that Environment(E), Social(S) and Governance(G) affect ESG scores significantly, with G having the greatest impact, followed by E and then S. ESG performance varies across industries. The finance-insurance sector is good at environment but weak in social aspects. The accommodation industry improves ESG ranking through social efforts. The agriculture and forestry service industry has an imbalance in governance and social development. ESG strategy advice are given for the government and companies.

With the development of artificial intelligence technology, the unequal access to artificial intelligence, known as the “AI divide” phenomenon, is gradually becoming prominent. Using literature from the Web of Science database as corpus and identifies relevant topics under the topic of “Artificial Intelligence Divide” based on LDA model, text analysis was conducted through manual encoding. Finally, four core research themes such as intellectual barriers, digital education, healthcare and social effects are identified and summarized, the current situation and gaps in technological knowledge gaps, awareness gaps, digital education inequality and the unfair application of artificial intelligence in the healthcare field is revealed. Meanwhile, the social effects of the artificial intelligence divide, including ethical and cultural dilemmas, cultural convergence and social inequality, are also important factors affecting social structure and individual lives. This article aims to deepen the understanding of the core theme of the “artificial intelligence divide” and help artificial intelligence enhance human well-being and social progress.