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A Study on the Practical Effectiveness of Gamified Teaching Methods in Primary School Chinese Language Classes for Lower Grades
Get PDFThis paper focuses on the practical effectiveness of gamified teaching methods in primary school Chinese language classes for lower grades. By elucidating its theoretical foundation, analyzing its current application status, and exploring its positive impact on students' learning interest, academic performance, and comprehensive abilities through practical case studies, this paper proposes optimization strategies aimed at providing effective references for primary school Chinese language teaching in lower grades
Discussion on the Intervention Mechanism and Strategy of Adolescent Depression Based on Physical Activity
Get PDFDepression is a prevalent social issue. In recent years, with the acceleration of life's pace, an increasing number of adolescents are suffering from depression. The primary symptoms include low mood, decreased self-esteem, reduced attention, sleep disorders, and social withdrawal. Conventional intervention methods are often limited and less effective. Sports activities, as a low-cost, non-pharmacological intervention, can effectively alleviate depressive symptoms by addressing the physical, psychological, and social aspects of adolescents. Regular and reasonable sports activities not only enhance physical health but also maintain a positive mental state, encouraging active participation in learning, work, and social activities. Therefore, integrating sports activities into the intervention system is a powerful approach to improve treatment outcomes
Promoting and Intervening in University Staff Mental Health from a Positive Psychology Perspective
Get PDFAmidst the rapid advancement of higher education, university faculty members serve as the core force in knowledge transmission and innovation. Their mental well-being not only concerns individual professional fulfilment but directly impacts teaching quality and student development. However, amidst multiple intertwined stressors, university staff commonly face challenges such as weakened professional psychological foundations, intensified work-family conflicts, and fractured social support networks. These factors lead to diminished self-efficacy, accumulated negative emotions, and pervasive feelings of isolation. This paper adopts a positive psychology perspective to systematically explore intervention strategies. These include cultivating positive personality traits, establishing social support networks, refining comprehensive psychological service systems, and promoting work-family coordination and balance. The aim is to provide theoretical underpinnings and practical pathways for enhancing university faculty mental health, thereby supporting the harmonious coexistence of professional fulfilment and personal well-being
Research on E-C Translation of Sci-Tech Texts from the Perspective of Relevance Theory—A Case Study on Translation of Co-Intelligence: Living and Working with AI(Excerpt)
Get PDFSci-tech texts contain a large number of professional terms and specific expressions, and cultural and cognitive differences pose numerous challenges to the E-C translation. Relevance Theory, as a cognitive pragmatic theory, provides strong theoretical support for the E-C translation of sci-tech texts. From the perspective of relevance theory, this study examines the translation of Co-Intelligence: Living and Working with AI(excerpt), analyzes how the translator, by aligning the cognitive environments of source and target language readers, employs strategies such as free translation, omission, and voice shift. The aim is to achieve optimal relevance between the original text and its translation, ensure faithful transmission of the original information, and enhance accuracy and communicative efficacy in E-C translation of sci-tech texts
The Value Implications, Risk Manifestations, and Governance Strategies of Artificial Intelligence Application in Vocational Education
Get PDFAs the wave of technological revolution driven primarily by artificial intelligence sweeps across all industries, vocational education—as the key arena for cultivating technical and skilled talent—must proactively adapt to contemporary demands. The deep integration of artificial intelligence and vocational education has become the critical pathway to breaking through the developmental bottlenecks. The rapid advancement of artificial intelligence and its widespread application in education present both opportunities and risks in driving high-quality development and digital transformation. By delving into the value implications of AI in vocational education, this paper points out risks such as algorithmic hegemony,diminished subjectivity of teachers and students, data privacy breaches and ethical disorder in security, and digital divide and disparities in educational equity. It proposes countermeasures:reshaping agency and cultivating autonomous abilities, fortify data security defenses and standardize usage processes, and promoting educational equity and balanced resource allocation. These strategies will ensure AI truly empowers vocational education rather than becoming a constraining force
Analysis of the Influence of Deep Foundation Pit Excavation with Diaphragm Wall Support on Deformation of Adjacent Metro Tunnels
Get PDFOn the north side of a deep foundation pit in Nanjing, the diaphragm wall support is located at a minimum net distance of only 12 m from an operational metro tunnel. To control the deformation of the metro tunnel, triaxial cement-soil mixing piles were adopted for slot wall reinforcement on both sides of the diaphragm wall. Based on this project, the MAIDAS/GTS finite element software was used to conduct 3D numerical simulations of the longitudinal and transverse displacements of the adjacent metro tunnel caused by deep excavation under diaphragm wall support. The effectiveness of the cement-soil mixing pile reinforcement measures was analyzed and compared through simulation calculations, aiming to provide references for similar designs and constructions
A Three-Dimensional Analysis of Subtitle Translation in Animated Films from the Perspective of Eco-Translatology: A Case Study of Nezha: Birth of the Demon Child and Ne Zha 2
Get PDFThis paper explores the subtitle translation of Chinese animated films through the theoretical lens of Eco-Translatology, focusing on Nezha: Birth of the Demon Child (2019) and its sequel Ne Zha 2 (2025). It examines how translation strategies operate across three dimensions—linguistic, cultural, and communicative—to mediate meaning between source and target languages. Through a comparative analysis of official subtitles and AI-generated translations, the study evaluates how effectively each renders culturally specific expressions, emotional tone, and contextual coherence. The findings suggest that while human translators generally outperform AI in managing culture-loaded and emotionally nuanced content, AI excels in fluency and efficiency for routine expressions. The paper advocates a human-AI collaborative model that leverages the strengths of both to improve subtitle quality. By offering a multidimensional framework and practical insights, this study contributes to the advancement of subtitle translation practices and the international dissemination of Chinese culture
Redefining Brand Conversations: A case study on Social Media as a Modern Communication Catalyst
Get PDFSocial media platforms have developed into a powerful transformation tool which fundamentally changes how brands connect with their audience during the digital age. The case study examines social media as a contemporary communication tool through its ability to build dynamic two-way real-time conversations between brands and their consumer base. Social media platforms provide interactive engagement to users while supporting community building through personalized brand narratives which reach extensive audiences. The study examines how Instagram, Facebook, LinkedIn enable brands to develop genuine messaging while monitoring customer feedback and collaborating for value creation. The case study demonstrates through specific brand campaigns that planned social media utilization leads to improved brand exposure as well as increased customer trust and loyalty. The research explains how brands must fight against false information as well as control their digital reputation while keeping their brand message consistent within the ever-changing online environment. The research establishes social media as more than a communication platform because it functions as a fundamental tool for brands to transform during the 21st century
Corpus-Based Analysis of Challenges and Strategies in Acupuncture and Moxibution Translation
Get PDFThe paper focuses on acupuncture and moxibustion translation practices supported by corpus technology, analyzing the core challenges including terminology standardization dilemmas, syntactic structure disparities, discourse logic reconstruction difficulties, and the inherent limitations of corpora. Targeted translation strategies and optimization pathways were proposed in the paper. Through analysis, the study demonstrates that by constructing dynamic terminology databases, optimizing cross-language syntactic adaptation mechanisms, strengthening discourse functional equivalence translation models, and incorporating iterative upgrades in corpus technology, the accuracy of acupuncture and moxibustion translation and the efficacy of cross-cultural communication are effectively enhanced
Smart Governance for Mega-City Challenges: A Coordinated Approach to Beijing’s “Big City Disease” under the Beijing-Tianjin-Hebei Strategy
Get PDFAs one of China’s national mega-cities, Beijing faces intensifying “big city diseases” characterized by overpopulation, traffic congestion, environmental degradation, and regional development imbalance. This paper adopts a “problem identification–cause analysis–dynamic linkage–strategy proposal” framework to systematically diagnose the root causes of Beijing’s urban governance challenges and proposes intelligent, regionally coordinated governance pathways. Key innovations include shifting the governance focus from traditional urban planning to population and mobility management, promoting cross-regional functional dispersal through “urban cluster unit” thinking, and integrating policy and market mechanisms to enhance the attractiveness of sub-centers. Through empirical data, comparative international cases (Tokyo, Paris, Shanghai), and dynamic interaction modeling, the paper reveals that the crux of Beijing’s “Big City Disease” lies in the vicious feedback loops formed among population pressure, infrastructural constraints, and environmental limitations. The study concludes by recommending a smart governance framework centered on big data-driven population regulation, rail-transit-oriented spatial coordination, and industrial synergy under the Beijing-Tianjin-Hebei collaborative development strategy. These findings offer theoretical contributions and practical insights for other mega-cities facing similar systemic challenges