The construction forms of overlapping sections of shield tunnels are complicated, so it is urgent to investigate the response rules of existing buildings to the disturbance of tunnel construction, so as to reduce the potential construction risks. In this paper, the finite element method was used to simulate the influence of mud-water shield machine on the existing building foundation when the superimposed shield tunnel was driven. First, the down tunnel was excavated, then the up tunnel was excavated, and the concrete influence of this sequence on the stability of the foundation was studied. The simulation results are compared with the field monitoring data to verify the reliability of the model. The results show that the foundation bottom continues to settle when the tunnel is excavated. When the tunnel is excavated, the settlement of the foundation slows down and a slight uplift occurs. After the completion of the ascending tunnel, the settlement at the bottom of the foundation presents a linear distribution. In addition, the vertical load increases on the basis of the main influence of the stacked tunnel under the existing buildings, which makes the lining stress and deformation increase. The research results will provide design and reference value for cascade tunnel engineering.

With the continuous development of civil aviation in China, research on the competence of flight dispatchers has demonstrated significant value. Based on the analysis of domestic and foreign literature and work practice, a competency evaluation index system for flight dispatchers was innovatively established, which included 8 primary indicators and 36 secondary indicators, with reference to the observable behavior proposed by the International Civil Aviation Organization. The combination weighting and cloud model, including G1 method and entropy weight method, were used for instance evaluation. The results show that the established indicator system can comprehensively and effectively evaluate the competency characteristics of flight dispatchers, which is scientific and reasonable.

At present, heavy metal pollution mainly composed of cadmium(Cd), lead(Pb), zinc(Zn), etc. is becoming increasingly severe, which greatly endangers the development of industry and agriculture and the health of people’s lives. Composite heavy metal ion pollution is the main form of pollution in industrial and agricultural production, and research on the remediation of composite heavy metal contaminated soil has practical significance. In addition, there is relatively little research on the use of acetic acid for the remediation of composite heavy metal contaminated kaolin, and its intrinsic remediation mechanism and reaction mechanism still need to be elucidated. In view of this, taking indoor simulated cadmium lead zinc composite polluted kaolin as the research object, electric remediation technology was adopted and different concentrations of acetic acid solution were used to remediate the composite heavy metal polluted kaolin. Combined with various testing methods, the internal remediation mechanism of polluted soil in the electric remediation process was deeply explored by analyzing the changes in electroosmotic flow, pH, conductivity, residual heavy metal ion and current.

A new type of five degree of freedom hybrid robot(5-DOF) was designed to address the stability issue of aerospace drilling that could not be met by existing parallel robots. The robot integrates the advantages of parallel mechanisms and existing rotary heads, consisting of three Special PurposeUnit(SPU) branches and one Passive Unit(PU) branch, with a unique mechanism layout and stable structural support. Through kinematic analysis of the parallel mechanism and 5-DOF(5-Degrees of Freedom) rotor, as well as position inverse analysis of the hybrid robot, the superiority of the robot in terms of motion performance is verified, providing useful reference for improving robot performance.

Airport economic demonstration zones are becoming the growth poles that drive regional high-quality development. Airport economic zones at different stages of development have heterogeneous needs for industrial structure adjustment. Exploring differentiated and coordinated adjustment strategies is of great significance for promoting airport economic development. Based on the life cycle theory, the development stages of national airport economic zones were divided, and the PVAR model and the coupling coordination degree model were constructed to explore the interaction and coordination degree between industrial structure adjustment and airport economic development. The results show that 8 of the national airport economic zones are in the initial stage, 9 are in the development stage, and 1 is in the mature stage. In the initial stage and mature stage, the upgrading and rationalization of industrial structure promote and hinder the high-quality development of airport economy respectively, but such promoting and hindering effects will gradually weaken in the long run, and the hindering effect may turn to promoting effect in the long run. For the mature airport economic zone, the upgrading of industrial structure will slowly promote the development in the long run. The rationalization of industrial structure will play a great role in promoting. The coupling coordination degree between industrial structure and airport economic development is generally increasing with the development of airport economy, and Nanning, Guiyang and Qingdao airport economic zones are on the verge of imbalance. In view of this, the airport economic zone should pay attention to the rationalization of industrial structure and selectively upgrade the industrial structure in the initial period and the development period, and can focus on the upgrading of industrial structure in the mature period.

The Shandong Provincial Capital Economic Circle, centered around Jinan and radiatingto six surrounding cities, has formed a “1+6” urban development pattern and is an important growth pole for the rise and economic development of the central and western regions of Shandong Province. Collecting Economic indicator data from seven cities and 57 counties within the Shandong provincial capital economic circle, grey relational analysis method was used to measure the agglomeration level between different cities and industries. GeoDa software was used to conduct spatial econometric analysis on the clustering degree of primary, secondary, and tertiary industries within the economic circle. Based on panel data from seven cities within the economic circle from 2003 to 2021, the manufacturing and production service industry synergy agglomeration index was used as the core explanatory variable. Through empirical analysis of double fixed effects, the key driving factors affecting industry synergy are demonstrated, and rational suggestions are proposed.

Taking panel data from 39 listed commercial banks in China from 2013 to 2022, and empirical methods were used to study the impact and mechanism of digital finance development on the operational performance of commercial banks. The research results indicate that digital finance can significantly promote the improvement of operational performance of listed commercial banks. Digital finance has had a significant negative impact on the operational performance of commercial banks in the central and western regions. The impact of digital finance on the operational performance of state-owned commercial banks, joint-stock commercial banks and local commercial banks varies. The level of risk-taking plays a fully mediating role in the impact of digital finance on the operational performance of commercial banks.

With increasingly globalized trade, efficiently, safely, and low-carbon distributing products is a critical challenge in the perishable supply chain network design(PSCND). A mixed-integer linear programming(MILP) model was developed considering perishability uncertainty, limited capacity of facility location, flow allocation and transport mood, aiming to minimize cost, carbon emissions and transportation time, as a case study, optimizing fresh-cut flower processing and pre-cooling centers in Kunming, Yunnan Province, China. The Weibull function was introduced to model the loss of perishable products during transportation. Given the intricate nature of the problem, a hybrid algorithm that integrated the minimum element method with the genetic algorithm was devised. The applicability and validity of our proposed model and algorithm was substantiated through rigorous numerical analysis. It draws out the impact of perishability on establishing processing and pre-cooling centers and modes of transport. Enterprises should decide on the mode of transport and adjust the number and capacity of processing and pre-cooling centers according to the perishability of products.

As global environmental issues worsen, green innovation is recognized as a core strategy for the sustainable development of chemical fiber enterprises. In this study, based on the TOE framework, listed companies in the chemical fiber industry from 2018 to 2022 were selected. The dynamic QCA method was used to analyze how digitalization influences green innovation efficiency. Three paths were identified for improving the green innovation efficiency of these enterprises. The first path relied on the application of digital technologies, the second on the scale of the enterprise and government support, and the third on the balance between digital technologies, government support, and organizational factors. These configurations show strong explanatory power, although individual performance varies across companies.

The data of A-share listed manufacturing enterprises from 2012 to 2021 were selected to empirically test the impact and mechanism of digital transformation on green ambidextrous innovation. The results show that digital transformation promotes green ambidextrous innovation of manufacturing enterprises, and its promotion effect on green substantive innovation is greater than that of strategic innovation. The mechanism test shows that the scale and social responsibility of enterprises positively regulate the role of digital transformation in promoting green ambidextrous innovation. The government regulation is positively adjusting strategic innovation. The heterogeneity test shows that digital transformation plays a greater role in promoting the substantive green innovation of light polluting enterprises. It plays a greater role in promoting strategic green innovation of heavily polluting enterprises.