Chongqing Academy of Environmental Science

Background: Steel box girders are widely employed in bridge engineering due to their excellent mechanical properties and construction convenience, yet their modular design still encounters bottlenecks such as knowledge reuse difficulties and information silos. This study proposes a BIM-driven framework based on knowledge graphs and data fusion. By constructing a professional knowledge graph comprising 85 core entity types and 150 semantic relationships (integrated with over 15,000 knowledge units), systematic management of design knowledge is achieved. The developed BIM reverse modeling technology improves parametric modeling efficiency by 30–40%, while the data fusion mechanism supports over 90% accuracy in design conflict detection. The intelligent decision-making system built upon this framework meets 75% of business scenario requirements while effectively assisting critical decisions such as module selection. Results demonstrate that this framework significantly enhances design collaboration efficiency and intelligence through knowledge structuring and deep data integration. Although some achievements were validated via simulation due to limited field measurement data, the approach demonstrates strong engineering applicability and provides novel technical pathways and methodological support for advancing digital transformation in bridge engineering.

Against the backdrop of the deep integration of the global film and television industry, character design has long transcended the mere pursuit of aesthetics and has become a key symbolic system that carries cultural information, builds identity recognition, and drives narrative. This article, by integrating semiotic theory and cultural dimension analysis, deeply dissects the core functions and common predicaments (stereotypes, cultural misinterpretation) of formative symbols in cross-cultural communication and systematically proposed four core design strategies: “extraction and translation of cultural symbols,” “visual mapping of cultural dimensions,” “symbolic support of narrative functions,” and “cultural decoding presuppositions for target audiences.” This article holds that successful cross-cultural modeling design should be committed to creative transformation on the basis of respecting the authenticity of culture, constructing a visual symbol system that combines cultural depth and universal appeal, and ultimately serving global narratives and in-depth cultural dialogues.

The digital economy (DE) has become an essential driver of sustainable growth under China’s “Dual Carbon” goals of carbon peaking and neutrality. However, limited evidence exists on the DE’s city-level effects on green and low-carbon transition. This study investigates the impact and mechanisms through which digital economy transition (DET) influences urban low-carbon development, utilizing panel data from 283 Chinese cities between 2011 and 2018. A comprehensive digital economy development (DED) index is constructed to measure regional digitalization levels. The findings reveal the following: (1) DET significantly improves CEE, and a one-standard-deviation increase in DED raises CEE by approximately 3.7%. (2) The effect of DET on CEE exhibits regional and resource-based heterogeneity, with western regions and resource-dependent cities benefiting more substantially. (3) The mechanisms through which DET improves CEE include stimulating the technological innovation level, attracting foreign direct investment (FDI), and promoting the financial development level. These insights provide valuable theoretical and practical implications for policymakers seeking to harness the digital economy to achieve sustainable urban development and carbon neutrality.

This study develops a scientifically rigorous long-cycle evaluation mechanism grounded in the ‘Three Competencies’ framework (core competency, innovation capability and developmental potential) to systematically assess outstanding technical talents’ professional expertise, innovative capacity and growth trajectory. Through a triphasic evaluation system encompassing short-term skills assessment (professional competence-focused), mid-term innovation appraisal (creativity-oriented) and longitudinal potential monitoring (development trajectory-guided), supplemented by multi-source data integration and dynamic tracking methodologies, we empirically validate the mechanism’s efficacy in vocational education contexts. Findings demonstrate that this framework not only enables precise identification of talent strengths through multidimensional evaluation, but also facilitates pedagogical optimization via continuous feedback loops while amplifying social impact through talent cultivation outcomes. The research contributes both a theoretical model and practical implementation pathways for high-caliber technical talent development, offering substantive policy implications for human capital development in vocational education systems. The proposed mechanism exhibits strong potential for cross-contextual adaptation in competency-based education frameworks.

Strengthening national common language education is a core initiative to enhance the promotion of the national common language. By conducting an in-depth analysis of the problems existing in national common language education in rural primary and secondary schools, and based on theories such as the "Four Entities" in education, the theory of comprehensive human development, and sociolinguistics, this paper proposes a "Three Chains, Four Entities, Three Links" teaching reform model for national common language education in rural primary and secondary schools. This model includes the construction of a progressive growth chain, a "Four Entities" education chain, and a key language chain. It aims to provide a comprehensive and systematic reform framework for promoting the national common language in rural areas, and put forward specific and feasible suggestions for future optimization paths and strategies.