In order to address the issues of arbitrariness and blindness in emergency rescue force allocation for mountainous highway tunnels, the principles of emergency response resource allocation was studied, and an optimized resource allocation model specifically tailored for mountainous highway tunnel networks was proposed. By abstracting and modeling the road network, this model effectively positions emergency response points and introduces a phased collaboration strategy to optimize the deployment of emergency rescue forces, which not only focuses on efficiently utilizing limited rescue resources but also emphasizes the feasibility and effectiveness of practical operations. Through case study validation, this model demonstrates robust practicality and operability, it can provide a scientific basis and effective tool for emergency rescue efforts in mountainous highway tunnels.

The layout design of an assembly line has a significant impact on a company's production and logistics efficiency.Taking the layout design of the D4 engine assembly line as the research object, the assembly process was analyzed,an assembly line balancing model was constructed with the goal of minimizing the number of workstations. Based on the balancing results, the task division for each workstation was determined. On the basis of analyzing the capacity requirements of the workstations, the design of the workstation layout was formed. Utilizing the systematic layout planning(SLP) method, and considering the constraints of workstation positions as well as the need for flexibility in assembly line production, the layout of the assembly line was determined based on the analysis of inter-station logistics after balancing. The layout is arranged to fulfill the rhythm demands, satisfy the assembly process, and support the efficient functioning of the assembly line.

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.

Accurate prediction of lithium-ion battery state of health (SOH) is crucial for battery management systems. Existing deep learning-based prediction methods primarily focus on single temporal scale features, making it challenging to simultaneously capture multi-scale dynamic characteristics during battery degradation processes. To address this issue, a SOH prediction model based on multi-scale attention mechanism (MSANet) is proposed. The model employs three parallel attention modules - short-term, medium-term, and long-term - to capture features at different temporal scales, achieving comprehensive battery state modeling through an adaptive feature fusion strategy. Additionally, bidirectional LSTM (long short-term memory) and low-rank adaptation (LoRA) techniques are incorporated to enhance the model's feature extraction capability and parameter efficiency. Experiments on the NASA (National Aeronautics and Space Administration) battery dataset demonstrate that this method achieves superior prediction accuracy and efficiency compared to LSTM-based prediction methods, providing a novel solution for battery health state assessment.

Static pressure densification piles exhibit significant technical and economic advantages in addressing the collapsibility of loess. However, during construction, there is a widespread issue of severe shrinkage after static pressure hole formation. To address this, specialized field tests were conducted using the volume conversion method to compare and analyze the shrinkage conditions of static pressure densification piles after the first and fourth hole formations. It is found that shrinkage occurred to varying degrees after both hole formations, with the overall shrinkage rate after the fourth hole formation reaching as high as 26.54%, an increase of 101.40% compared to the first hole formation. To effectively tackle this challenge and ensure the quality of pile construction, the importance of the tamping and filling process stands out. Given the limitations of traditional heavy hammer tamping methods in terms of construction efficiency, quality control, and environmental protection, an innovative fill-tamp integrated device has been developed. This device not only improves the quality and efficiency of densification pile construction but also advances tamping and filling technology, achieving dual improvements in economic and social benefits, and it has value for promotion and application.

Green economic development has become a key path to achieve high-quality regional economic development and achieve the strategic goal of “carbon peak and carbon neutrality”. Based on the panel data of 268 prefecture-level cities in China from 2015 to 2022, a fixed-effect model was used to test the impact of government attention allocation intensity on the level of regional green economic development. It is found that the intensity of government attention allocation has a significant positive effect on the improvement of the level of urban green economic development, and the effect is more significant in areas with high public environmental attention and strong government environmental execution, and the upgrading of industrial structure is one of the important intermediary paths of the main effect. After the robustness test, this conclusion still holds.

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.

With China's economic development entering a new normal, improving the quality of economic development has become the core task of transformation and development in various regions. As an important economic sector in central China, Jiangxi Province plays a leading role in optimizing and upgrading its industrial structure through the use of new quality productive forces, which is of great significance for promoting high-quality economic development in Jiangxi Province. The promotion of new quality productive forces in optimizing and upgrading the industrial structure of Jiangxi Province was studied from both theoretical logic and path perspectives, providing theoretical guidance and practical references for the development of Jiangxi Province's industries in the new era.

Using the logistics index from 2010 to 2022 and the DEA-BCC (data envelopment analysis and Banker-Charnes-Cooper) model, it is found that the static comprehensive logistics efficiency in China is 0.668, which is at a low level. Using DEA-Malmquist index method to analyze dynamic logistics efficiency, the total factor productivity is 0.981, and the overall productivity is slightly reduced. Tobit regression model was used to explore the factors affecting logistics industry efficiency, among which economic development level had a significant and weak negative impact on logistics efficiency. The degree of industrial agglomeration and the level of innovation have significant positive effects on logistics efficiency. The degree of government intervention, informatization level and opening to the outside world have no significant influence on logistics efficiency. According to the research results, some countermeasures and suggestions are puts forward to improve the efficiency of logistics industry in China, that is, to improve the level of logistics service, optimize the level of resource allocation and improve the capability of technology research and development.

Based on panel data from nine cities in Fujian Province, how trade between Fujian Province and ASEAN promotes industrial structure upgrading was analyzed. The empirical results indicate that increasing imports and exports to ASEAN can promote the upgrading and rationalization of Fujian Province's industrial structure. In regions with higher levels of economic development in Fujian Province, expanding trade has a greater positive impact on industrial structure upgrading. Financial support plays a positive regulatory role in the chain of expanding imports and exports to promote industrial structure upgrading. In the process of increasing exports and expanding imports in Fujian Province and ASEAN, innovation or boosting consumption are both beneficial for promoting industrial structure upgrading.