The construction of an important carrier for high-end and high-tech industries in Xiong'an New Area is a crucial engine for the relocation of non-capital functions from Beijing and the coordinated development of the Beijing-Tianjin-Hebei region. Through an analysis of the current situation of the construction of the high-end and high-tech industry carrier in Xiong'an New Area, it is found that the carrier has already possessed a certain carrying capacity, but there are deficiencies in policy guidance, industrial agglomeration, local support, talent reserves, and industrial collaboration. Based on this, the following policies are proposed to provide an innovative environment for the development of high-end and high-tech industries in the new area: introduction of leading enterprises in the supply chain, construction of platform and carrier, improvement of policy support measures, optimization of the innovation and development ecosystem of the host area.

In order to solve the influence of bolt length on roadway support under different geological and mining conditions, using FLAC3D numerical simulation software, the numerical simulation research of tunnel support effect of 1.6, 1.8, 2.0, 2.2 and 2.4 m different bolt lengths was carried out. Through five bolt-length support schemes, the stress change and displacement deformation rule of roadway under each scheme were analyzed, and the optimal bolt-length was obtained. The results show that the change of bolt length affects the displacement and deformation of roadway after excavation. When the diameter of the bolt is constant and the length is 2.2 m, the deformation of the roadway surrounding rock is small, and the shear failure in the plastic zone is minimal. Through the comparison of several schemes, it is found that the roadway support effect is best when the length of bolt is 2.2 m.

For the convenience of installation, the bolt hole diameter in the transmission tower is generally required to be 1.5 mm larger than the diameter of the bolt, and there is sliding phenomenon after the bolt is subjected to force. The current tower design software generally uses a spatial truss model for analysis, without considering the influence of bolt slip, which cannot accurately reflect the actual deformation of transmission towers. As a result, the calculated deformation values are generally much lower than the measured values, which affects the accuracy and safety of structural internal force analysis. At present, the analysis of the impact of bolt slip on deformation is mainly carried out through finite element software combined with spring elements. Due to the large number of transmission tower members and complex structure, this processing method has low efficiency and is generally only used for verification analysis of tests. Based on the principle of virtual work, considering bolt slip and residual deformation, the calculation formula for tower deformation is improved, and fast identification methods for various joint models are proposed. At the same time, a full-scale real type experimental study was conducted for the deformation of the yak shaped landscape tower for the first time, and the experimental results, theoretical calculation values, and improved formula calculation values were compared and analyzed to verify the effectiveness of the improved formula. In addition, the measures to reduce bolt slip deformation are proposed. The research results have certain reference value for the optimization design of transmission tower, deformation control, and evaluation of bearing capacity under foundation deformation conditions such as landslides and settlements.

In recent years, the rapid development of digital new quality productivity has given rise to the smart transportation industry chain. Taking the resilience of the smart transportation industry chain as the research object, its resilience connotation and influencing factors were defined. The OSM(objective-strategy-measurement) model was employed to construct a diagnostic index system for industry chain resilience from three dimensions: resistance, transformation, and recovery capabilities. “G1+CRITIC”(order relation+CRITeria importance through intercriteria correlation) information entropy diagnostic model was proposed for diagnosing industry chain resilience. Data from 2015 to 2024 of Jiangsu Province was selected for empirical analysis. The results indicate that the level of resilience in the smart transportation industry chain mainly depends on the recovery capability of the industry chain. The diagnostic model can effectively evaluate the resilience level of the industry chain and identify weaknesses. Based on the diagnostic results, precise measures to solidify and strengthen the industry chain can be proposed.

Data factor allocation is an important driving force of enterprise digital technology innovation, and is gradually regarded as the core production factor of new quality productivity because of its significant multiplier effect and innovation engine. Taking enterprise data factor allocation as the starting point, listed manufacturing enterprises from 2011 to 2022 were selected as samples to empirically study the relationship between data factor allocation and enterprise new quality productivity, and the intermediary mechanism effect was studied from the two dimensions of digital technology innovation quantity and quality. It is found that data factor allocation of manufacturing enterprises can effectively promote the improvement of new quality productivity of enterprises, especially for state-owned enterprises, high-tech enterprises and the eastern region. The mechanism effect test shows that data element allocation can improve the new quality productivity of enterprises through the “incremental quality improvement” effect of digital technology innovation. In order to promote the formation of new quality productivity, it is suggested that manufacturing enterprises actively integrate the “data factor x” action, improve the level of data factor allocation, promote the synergy between data and technology factors, and promote the double improvement of the quantity and quality of digital technology output.

To obtain accurate temperature and pressure data during downhole fracturing processes, a novel dissolvable fracturing ball is developed for collecting temperature and pressure data during downhole fracturing stages. This method utilizes the fracturing ball as the external structure, with pressure and temperature sensors as the core components for data acquisition. Based on a single-chip integrated circuit, data transmission was achieved through RS-485 communication, and data storage was accomplished via SPI communication. In accordance with the operational conditions of the novel dissolvable fracturing ball, experiments on pressure, temperature, and signal storage ball escape were conducted. The experimental results demonstrate that the design structure of the novel dissolvable fracturing ball meets the requirements of operational conditions, with excellent sensor acquisition accuracy. Its capability to read and store pressure and temperature data during downhole fracturing stages provides new insights for the digital transformation of oil and gas field exploration and development technologies.

The Xiong'an New Area is established to relieve Beijing's non-capital functions. The promotion of Beijing's international science and technology innovation center construction is driven by it. The development of the Beijing-Tianjin-Hebei regional innovation system is also driven by it. It is of great significance to analyze the current situation and problems of the construction of the Science and Technology Innovation Center in Xiong'an New Area and propose corresponding countermeasures. Based on relevant policies, the strategic positioning of the construction of the Science and Technology Innovation Center in Xiong'an New Area was clarified. Based on the current situation, the problems and deficiencies in the construction of the Science and Technology Innovation Center in the new area were analyzed. Several countermeasures and suggestions were put forward to improve the construction of the scientific and technological innovation system in Xiong'an New Area and enhance the capabilities of scientific and technological innovation and industrial innovation.

Based on the analysis of Sichuan liquor invention patent application trend, distribution of patent application types, patent grant rate and patent regional distribution from 2010 to 2024, it is found that Sichuan liquor industry has some problems, such as low patent application quality, low invention patent grant rate, insufficient patent application motivation and lack of reasonable patent strategy layout.In order to improve the patent licensing rate and innovation ability of Sichuan liquor industry and promote its sustainable development, it is suggested Sichuan liquor enterprises choose high-quality agencies to improve the patent authorization rate, pay attention to the quality of application documents and the quality of reply to the review opinions, improve the enterprise's attention to patents and application awareness, and flexibly formulate patent strategic layout according to the changes in the product market.

Under the context of China's energy powerhouse strategy and the development of characteristic new-type think tanks, focusing on the talent mechanisms of central SOE think tanks in the energy sector, a systematic analysis of their current status was conducted. The research reveals that these institutes have established a five-dimensional influence system encompassing policy, enterprises, academia, international cooperation, and society, demonstrating notable achievements in strategic support, professional capacity, and institutional innovation. However, challenges persist, including delayed pilot implementations, talent structure imbalances, and rigid incentive mechanisms. Based on comparative case studies, a three-dimensional optimization framework was proposed: structuring strategic-level collaborations through “government-industry-academia-research-application”integration to establish four-dimensional talent development objectives, designing operational mechanisms including differentiated training, market-oriented incentives, and digital governance platforms, and instituting institutional reforms such as dual-track evaluation systems and intellectual property sharing arrangements. The conclusions provide theoretical foundations and practical pathways for advancing the modernization of talent teams in energy SOE think tanks and supporting national energy security strategies.

Digital-enabled green transformation is an important path and inevitable choice to achieve high-quality development. Based on the data of Shanghai and Shenzhen A-share specialized and new “small giants” enterprises from 2013 to 2023, the impact of the digital transformation of specialized and sophisticated small and medium-sized enterprises on green technological innovation and the intrinsic mechanism of its effect were empirically examined. It is found that the digital transformation of specialized and sophisticated SMEs significantly promotes green technological innovation. This effect is more pronounced among firms in the eastern and central regions, high-level digital infrastructure firms, and high-tech firms. The mechanism analysis shows that digital transformation can promote green technology innovation by optimizing human capital structure and increasing analysts' attention. Finally, specific policy recommendations are put forward from the level of government and enterprises themselves to provide insights into the digital transformation of enterprises and the high-quality development of the economy.