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.

Based on the qualitative research methodology of rootedness theory, 71 typical cases of rural governance were selected as the research basis, and the “subject-institution-technology-industry” practice framework for effective rural governance was extracted. It is found that grassroots organizations have positively driven the construction of rural revitalization by stimulating the vitality of the main body, establishing a sound system, introducing advanced technology and promoting industrial development. The realization of the overall goal of rural revitalization will be influenced by different subjective and objective factors, which will form the process of “reverse shaping” for the realization of effective rural governance in localities. In the practice of rural governance, the “top-down coordination” among multiple governance subjects and the “complementary coordination” among different institutional forms serve as internal driving forces, effectively empowering the implementation of the rural revitalization strategy. The “matching of supply and demand” of talents and technology, and the “internal and external” of the collective economy and social capital, as effective external driving forces for rural governance, have strongly contributed to the realization of rural revitalization.

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.

Methods such as literature review, logical analysis, and SWOT (strengths, weaknesses, opportunities, threats) analysis were used to conduct a systematic examination of the development of sports tourism in Guiping City, aiming to explore its strengths and weaknesses while proposing feasible countermeasures. Through SWOT analysis, it is found that Guiping's advantages including strategic transportation positioning, abundant tourism resources, and rich historical heritage. However, challenges persist in inadequate understanding of sports tourism and insufficient market development expertise. Opportunities arise from contemporary demands for integrated development, supportive policies, and digital-intelligent empowerment, while threats include ecological-environmental conflicts and homogeneous competition from neighboring cities. Development strategies for Guiping's sports tourism are proposed, including the rational integration and development of sports tourism resources, adopting a “sports + tourism” oriented approach citywide, cultivating interdisciplinary management professionals, creating an eco-sports tourism brand with local characteristics, and enhancing governmental support and policy reinforcement.

The strong heterogeneity of the Lower Permian gas reservoir in the Hechuan Gas Field and the significant differences in gas well productivity, along with the unclear characteristics of high-efficiency wells, have constrained the profitable development of the gas reservoir. To identify the controlling factors of high-yield wells, research was conducted from both geological and engineering perspectives, focusing on the relationships between paleogeomorphology, dolomitization degree, reservoir thickness, fracture and vug development, acid treatment volume, and gas test productivity. The results indicate that wells located in high paleogeomorphological positions, with high dolomite content and large reservoir thickness, exhibit well-developed fractures and vugs, achieving productivity of up to a million cubic meters. Large-scale acid treatments can modify the surrounding reservoir of the wells, enhancing their productivity.

In order to realize of the Poyang Lake Eco-economic Region's “dual-carbon” goal, carbon emissions was analyzed on energy consumption, and carbon emissions from 2024 to 2035 was predicted using the logistic model. The results showed the the maximum inaccuracies between the carbon emissions predicted by the Logistic model and the actual value from 2011 to 2022 was 9.0%, and the average inaccuracies was 2.43%, which is able to fit the trend of carbon emissions in Poyang Lake Eco-economic Region. The logistic model predicts that carbon emissions in 2035 will reach 23 345.38×10⁴ t. The growth rate of carbon emissions is in a decreasing trend, from 0.85% in 2024 to 0.04% in 2035, and the carbon peak would be basically realized in 2035. The research results are of great significance in promoting the scientific development of carbon emission reduction pathway in Poyang Lake Ecological and Economic Zone.

Disruptive technology is strategic technology that could overturn mainstream technology and reshape competitive landscape, characterized by complex evolution process and typical “non-consensus” attributes. Traditional research project evaluation methods, which rely on “one-time evaluation determines the lifetime outcome”, are unsuitable for disruptive technology projects. Instead, an evaluation-cultivation integrated approach should be adopted for their identification. Thus, the connotation of disruptive technology was analyzed, the typical practices and experiences of foreign institutions were drawn on, and three basic principles: “Logical Consensus, Inclusive Standards”, “Recognizing Strengths and Offseting Weaknesses, Sifting out the gold from the sand”, and “Tiered Planning, Dynamic Optimization” were proposed. It explores the construction of an evaluation-cultivation integrated mechanism aligned with the evolutionary traits of disruptive technologies, centered on “high-consensus logical reasoning”. The results provide methodological reference for accurately identifying disruptive technology.

Coordinating the relocation of Beijing's non-essential capital city functions with Xiong'an New Area's own development is the key for achieving Xiong'an's strategic target of “national project of millennial significance,” and it provides the fundamental guideline for building a high-quality and modern socialist city. The progress of non-capital-function relocation to Xiong'an was reviewed, the emerging situation and challenges were analyzed, and the urban development momentum theory to examine domestic and international new-city experiences was drawn on. It delineates three stages for the development of Xiong'an, identifies the core drivers and priorities for each stage, and offers recommendations for the next phase on how to advance both functional relocation and local development in tandem.

The study of “production, living and ecological space” plays a significant role in optimizing national land layout, advancing ecological construction, and achieving sustainable development. Taking the central city of Lanzhou as the research object, based on POI(point of interest) data, grid division, sample square statistics, AHP(analytic hierarchy process) hierarchical analysis and GIS(geographic information system) spatial analysis techniques were used to identify and characterize the production, living and ecological spaces. The results show that the production space is concentrated in the periphery, the living space is clustered in the core area, and the ecological space is distributed in a decentralized manner.The quantity is dominated by the production and living space, the ecological space accounts for the smallest proportion, and there are very few mixed-function zones,and the four types of space all show obvious clustering characteristics. The study shows that POI data are scientific and practical in spatial identification and can provide reference for urban territorial spatial planning.

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.