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Reform and Practice of Engineering Cost Software Application Course under OBE Concept
Full text linkIn response to the development trend of digital transformation in the construction industry, the curriculum reform of engineering cost major has shifted from “knowledge imparting orientation” to “outcome orientation (OBE)”. Under the promotion of the “1+X” certificate system and the policy of integrating industry and education, the reform ideas of curriculum teaching, skills competitions, certificate acquisition, and job practice (referred to as “course competition certificate job”) collaborative education have gradually reached a consensus. This article takes the engineering cost software application course group as the object, systematically sorts out the relevant policy backgrounds such as OBE and engineering education certification framework, “1+X” and excellent engineer training reform, and analyzes the problems of “fragmented software training, disconnection between competitions and courses, and fracture between certificates and job abilities” in current teaching; Based on this, a goal matrix and outcome oriented curriculum map of the “Course Competition Certificate Post” four element isomorphism were proposed, and a teaching mode supported by BIM cost and quantity valuation platform was constructed. The contribution of this article lies in: taking the OBE concept as the main line, upgrading the “course competition certification post” from “stacked combination” to “isomorphic integrated design”, providing a scalable system, curriculum, and evaluation integrated solution for the engineering cost software application course group
Symbolic Capital and Youth Identity: A Study of the Ne Zha Phenomenon in Contemporary China
Full text linkGuided by Pierre Bourdieu’s theory of symbolic capital and field, this study examines the reception of the animated franchise Ne Zha (2019) and Ne Zha 2 (2024) among contemporary Chinese youth. Using a netnographic approach and systematic coding of 2,159 online comments, the research analyzes how mythological narratives are reinterpreted as symbolic resources within digital cultural fields. The findings indicate that the films function as a cultural mirror through which young audiences reflect on structural pressures associated with education, employment, and social mobility. By connecting mythological struggles with contemporary discourses such as involution and the phenomenon of the “small-town exam striver”, audiences reinterpret the character of Ne Zha as a symbolic figure that articulates generational anxieties. The analysis further demonstrates that the circulation of symbolic capital varies across digital platforms. On Bilibili, interactive practices such as danmu (bullet comments) encourage subcultural interaction and collective interpretation, whereas Weibo operates as a broader public arena characterized by visibility-driven debates and ideological positioning.Overall, the study shows that youth engagement with the Ne Zha franchise follows a process in which affective resonance gradually develops into symbolic claiming. Through this process, popular cultural texts become shared discursive resources that enable young audiences to negotiate generational identities and interpret their social experiences within contemporary Chinese society
A Study on Subtitle Translation of Science Fiction Films
Full text linkScience fiction film subtitle translation, situated at the intersection of linguistic conversion, technical constraints, and fictional world construction, represents a unique translation challenge. This paper explores the theoretical frameworks, practical strategies, and emerging trends in sci-fi film subtitle translation by analyzing recent academic achievements and case studies including the Star Wars series and The Wandering Earth series. The study identifies four primary challenges facing sci-fi film subtitle translators: neologism and terminology management, handling scientific and technological discourse, cultural specificity within fictional contexts, and multimodal constraints. Drawing on Relevance Theory, Functional Equivalence Theory, and Multimodal Discourse Analysis, it evaluates translation strategies including transfer, compression, paraphrase, and creative adaptation. The research further examines the impact of modal differences between subtitling and dubbing, and the emergence of human-machine hybrid translation models. The findings indicate that optimal sci-fi film subtitle translation requires balancing source text fidelity with target audience comprehensibility, while appropriately managing the genre's inherent tension between scientific plausibility and imaginative fiction. The study concludes by proposing a comprehensive framework for sci-fi film subtitle translation practice and identifying future research directions in this rapidly evolving field
Efficacy of Acupuncture for Prurigo Nodularis: A Protocol for Systematic Review and Meta-analysis
Full text linkBackground: Prurigo nodularis (PN) is a chronic inflammatory skin disease characterized by severe pruritus, significantly impairing patients’ quality of life and work capacity. Acupuncture has emerged as a promising therapeutic option, with a growing body of research demonstrating its notable efficacy in treating this condition. However, the mechanisms involved remain unclear, and current evidence lacks integration to help clinical decisions. This study initiates the first systematic evaluation through meta-analysis to assess acupuncture's therapeutic value for PN. Methods: Authors will systematically search the randomized controlled trial (RCT) literatures involving acupuncture for treating PN from PubMed, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science (WOS), China National Knowledge Infrastructure (CNKI), China Biomedical Literature Database (CBM), Wanfang database, China Scientific and Technology Journal Database (VIP). We will define the Worst Itch Numeric Rating Scale (WI-NRS) and the Investigator's Global Assessment (IGA) as the primary outcomes, total effective rate, quality of life score (e.g., Dermatology Life Quality Index), adverse reactions caused by acupuncture will be regarded as the secondary outcomes. RevMan v.5.3 software will be used for the purposes of screening literature, gathering data, analyzing data, and synthesizing data. Additionally, authors will assess the risk of bias in all included studies using the Cochrane Collaboration's tool for risk of bias assessment.Results: The protocol for the meta-analysis will systematically evaluate the efficacy of acupuncture in treating PN.Conclusion: The conclusion of this protocol will provide evidence regarding the efficacy of acupuncture in treating PN, and establish a foundation for future acupuncture treatments.Trial registration: PROSPERO registration number: CRD420261325566Ethics and dissemination: As this study synthesizes existing data without involving individual patient information, ethics committee approval was exempted. The findings will undergo peer-reviewed publication and international conference presentation to ensure knowledge dissemination
Research on Technology Embedding and Industrial Chain Synergy in Digital Transformation of Specialized, Refined, Unique and New Enterprises
Full text linkSpecialized, refined, distinctive, and innovative enterprises are the key players in the modernization of China’s industrial chain. The technological embedding in their digital transformation and industrial chain collaboration constitute two core propositions that mutually empower each other. Based on clarifying the theoretical connotations and logical connections of these two aspects, this paper analyzes the empowering effects of technological embedding on industrial chain collaboration through data integration, process reengineering, and decision optimization. The study reveals that current challenges include low levels of technological embedding, prominent system silos, incomplete collaborative mechanisms, significant resource constraints, and relatively high data security risks. Accordingly, the paper proposes a four-dimensional optimization path: deepening technological embedding, improving collaborative mechanisms, enhancing endogenous capabilities, and strengthening risk prevention and control. This provides theoretical references and practical insights for the digital capability enhancement of specialized, refined, distinctive, and innovative enterprises and the collaborative governance of industrial chains
Symbolic Coding and Intertextual Narration of Hani Marriage Belief
Full text linkObjective As an ancient ethnic group with “a language but no written script”, the Hani people often preserve their cultural memory and social contracts through specific material carriers. This study examines two representative Hani marital tokens—the gold craft “Riyue Pan” and the woven artifact “Pa An”—from a semiotic perspective, analyzing their transformation from practical objects to emotional symbols. Methods By integrating Peirce’s semiotic trinity and Roland Barthes’ mythological theory, fieldwork and image analysis were conducted to deconstruct the signifier composition, referential meanings, and pragmatic contexts of these artifacts. Results The Riyue Pan, as a rigid symbol, achieves a semantic shift from fertility worship and amulets to marital alliances through the metaphor of “milk nail patterns” and animal/plant totems. The Pa An, as a flexible symbol, visually represents the Hani people’s migratory habitats and craftsmanship through interwoven geometric patterns, creating tangible emotional connections. Conclusion These artifacts not only serve as witnesses to romantic relationships but also materialize the Hani people’s cosmology, collective memory, and gender division of labor. Through intertextual symbolic rhetoric, they construct a transcendent cultural identity in marital rituals
Medal Prediction and Evaluation Model Based on Random Forests and a Difference-in-Differences with Multiple Time Periods Method
Full text linkAs people’s attention to sports events increases, while watching individual events in the Summer Olympics, fans are also paying more and more attention to each country’s overall Olympic medal standings. Based on this, this article is dedicated to deeply analyzing the historical data of the Summer Olympic medal standings and the factors affecting the counting, as well as predicting future development trends, to help countries formulate reasonable strategies for the development of sports events and provide potential information for the International Olympic Committee.For question 1, first, pre-process the data by removing 1,484 duplicate values, etc. Second, construct a random forest regression prediction model, select a total of 6 feature values including historical medal count, host or not, dominant sport, number of Olympic participation sessions, number of participating athletes, and number of participating events, and predict the gold, silver, and bronze medals and the total number of medals in the 2028 Summer Olympics in Los Angeles, USA. Third, using the K-means clustering algorithm, the countries that will win their first medal at the next Olympics are Angola, Antigua and Barbuda, Bolivia, El Salvador, Guam, Honduras, Liechtenstein, Madagascar, Mali, Malta, Myanmar, Nicaragua, Nepal, Papua New Guinea, Samoa and Seychelles, with an SSE value of 604.70 and a silhouette coefficient of 0.69 , indicating that the model clustering effect is good and stable, and the odds are only 31.00 %. Finally, by screening the sports with the largest number of medals in each country and a significantly larger number of medals than other events, it is determined that these are the most important sports in that country. In addition, it can be seen from the host country feature value of 0.06 that the host country effect has a positive and promoting effect on the number of medals.For question 2, first, using the multi-period double difference method, the weighted average modular processing behavior results were used to explore the contribution values of the “great coach” effect to the number of medals in the volleyball and gymnastics events. The results showed that on average, each competition added approximately 3.74 and 5.15 medals, respectively, and the p-value was close to 0, indicating that the model as a whole was statistically significant. Next, we screened out three countries that had participated in a relatively large number of Olympic Games, with a large number of participating athletes and events, but had not won any medals. We suggested that they consider investing in the “great coach” effect. We believe that Canada and Tunisia should invest in the “great coach” effect of the volleyball project, so that their volleyball project medals will increase by 3.74 medals each year, while Australia should consider investing in the “great coach” effect of the gymnastics project, so that their gymnastics project medals will increase by 5.15 medals each year.For question 3, according to the model solution results of the random forest regression prediction model, the K-means clustering algorithm, and the multi-period double difference method, it can be seen that the number of participating athletes, the number of events, and the number of Olympic Games attended, etc., will have a significant impact on the medal count. Therefore, this can provide reference and reference for the IOC in terms of competitive talent selection, sports event development planning, long-term participation planning, and experience inheritance and innovation, etc.
The Impact of Digital Economy Development in Belt and Road Countries on China’s Outward Foreign Direct Investment
Full text linkThis paper selects 43 countries along the Belt and Road from 2003 to 2022 as the research sample, incorporates the level of digital economy development into an investment gravity model, and empirically examines its impact on China’s outward foreign direct investment (OFDI). The results show that, first, the level of digital economy development in host countries significantly promotes the growth of China’s OFDI, indicating that the digital economy has become an important locational factor affecting the cross-border flow of Chinese capital. Second, from the perspective of sub-dimensions, digital infrastructure development, digital economy competitiveness, and the digital innovation environment all have positive effects on China’s OFDI, among which digital infrastructure plays the most prominent role. Third, the heterogeneity analysis indicates that the promoting effect of the digital economy on China’s OFDI varies significantly across regions, being more pronounced in West Asia and Central and Eastern Europe, while remaining relatively limited in Central Asia and Mongolia as well as ASEAN countries. Fourth, the mechanism analysis shows that digital economy development can significantly improve host countries’ human capital levels and enhance cross-border trade facilitation, thereby providing possible transmission channels for the growth of China’s OFDI. Therefore, China should strengthen cooperation with Belt and Road countries in digital infrastructure construction to unleash the potential of digital economy development; accelerate the internationalization of enterprises and provide high-quality digital technology products to host countries; adopt differentiated investment strategies and establish a digital risk assessment framework for host countries; and seize policy opportunities to cultivate talent with high levels of digital literacy
Research on the Mechanism and Path of Balanced Regional Economic Development Driven by the Integration of Data Factors and Artificial Intelligence
Full text linkThis study focuses on the core issue of balanced regional economic development driven by the integration of data factors and artificial intelligence (DIAI). Aiming at the deficiency of existing studies that ignore the synergistic effects of the two elements, the study uses panel data of 30 Chinese provinces from 2012 to 2023 to construct fixed effects, mediation effect and threshold regression models. Combined with robustness tests, it systematically examines the action mechanism, boundary conditions and regional heterogeneity of DIAI. It is empirically verified that DIAI significantly narrows regional development gaps and acts as a novel synergistic driving force for balanced regional economic development. DIAI exerts its driving effect through three mechanisms, namely innovation-driven development, the upgrading of industrial structure and the optimization of resource allocation, with the contribution rates of the three mechanisms being 42.1%, 28.6% and 29.3% respectively. A single threshold effect of 12.7% is identified in the level of financial development; the marginal contribution of DIAI increases by 3.9 times after the financial development level crosses this threshold. In addition, the effect of DIAI is more pronounced in western China and national digital economy pilot zones. Theoretically, this study expands the theory of regional innovation systems. Practically, it provides a basis for local governments to formulate differentiated DIAI strategies. The study also points out its limitation in the insufficient exploration of the mechanism of microeconomic agents and clarifies the future research direction of further in-depth investigation from the micro perspective
Research on the Evolution and Path Analysis of China’s Industrial Internet Industry Policy
Full text linkNew-generation information technologies have permeated all sectors of the economy and society. With the advancement of the Internet, the digital economy has thrived, rapidly expanding from the consumer domain to the production sector. The industrial economy has progressively evolved from digitalization toward networking and intelligence. In this context, the industrial internet has emerged as a pivotal driver for the transformation and upgrading of the manufacturing industry. Since 2015, the Chinese government has introduced a series of policies to actively promote the development of the industrial internet, establishing a relatively comprehensive policy framework. An analysis of the evolution of China’s industrial internet policies reveals a strategic shift in policy focus—from an initial emphasis on supply-side instruments to a more balanced integration of supply-side and environment-side measures—and a refinement of policy objectives, from constructing theoretical frameworks to addressing deeper challenges such as enhancing foundational innovation capabilities. Nevertheless, the development of the industrial internet continues to face significant challenges, including technological innovation bottlenecks, complex market demands, and persistent data security concerns. This paper reviews the evolutionary trajectory of industrial policies, analyzes the developmental pathway of the industrial internet from a macro-level perspective, and proposes an integrated optimization strategy for China’s industrial internet policy system