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An Analysis on the English Translation Strategies for the Publicity Texts of Guilin Red Tourism Culture from the Perspective of Eco-translatology
Full text linkThis paper focuses on the international communication needs of Guilin red tourism culture in the context of globalization. Taking the theory of Eco-translatology, it deeply analyzes the practical dilemmas and optimization strategies for the English translation of the publicity texts of Guilin red tourism culture. The English translation of its publicity materials is hindered by problems in the dimensions of language, culture, and communication. On the one hand, red culture is highly local and historical, and traditional translation methods find it difficult to balance the requirements of language, culture, and communication. On the other hand, Guilin’s red tourism texts have difficulties in vocabulary, sentence patterns, and grammar. There is insufficient interpretation of cultural connotations, weak presentation of regional characteristics, vague audience positioning, and a lack of interactivity. Eco-translatology likens translation to an ecosystem, with the core of dynamic adaptive selection and transformation, which brings ideas for solving these problems. Emphasizing dynamic adaptive selection and transformation in translation, this paper accordingly puts forward optimization suggestions for English translation from the linguistic dimension, cultural dimension, and communicative dimension, striving to improve the quality of the English translation of Guilin red tourism culture publicity texts and facilitating its cross-cultural dissemination and inheritance
Research on the Application of Civil Punitive Damages for Trademark Infringement in China
Full text linkCivil punitive damages is a new system introduced into China’s trademark legislation, aiming to increase the cost of infringement and illegal acts and exert the deterrent effect of judicial punishment. However, the current system faces problems such as ambiguous application requirements and inconsistent calculation standards in judicial practice, leading to frequent occurrences of “different judgments for the same case”. This study, through theoretical analysis and judicial practice investigation, systematically reviews the application status and difficulties of civil punitive damages for trademark infringement, and innovatively introduces the “dynamic system theory” as a reference method for determining the amount of compensation. The research finds that clarifying the standards for determining “malice” and “serious circumstances” and standardizing the calculation method of the compensation base are the keys to activating this system. This paper provides theoretical support and practical paths for improving the judicial application of civil punitive damages for trademark infringement in China
Exploring Copyright Attribution and Infringement Compensation for Cultural Works Generated by Artificial Intelligence (AI)
Full text linkWith the widespread application of artificial intelligence across various industries, the issue of copyright attribution for AI-generated works has become increasingly prominent. While AI itself lacks legal personhood, the works it creates can generate corresponding benefits, making the allocation of copyright attribution an urgent challenge to resolve. The justification for protecting AI-generated works lies in the fact that such creations are based on human-programmed instructions and algorithms. Both the developers and users of AI systems deserve respect and protection. AI-generated works are products of human subjective consciousness and function as tools to assist humanity. Although AI lacks autonomous creative capacity, the works it produces hold value—including emotional, economic, and literary value.AI-generated works share similarities and differences with human-created works in terms of copyright. AI creations can reflect the personalities of developers and users and are protected under copyright law. However, AI cannot attain legal protection equivalent to that of humans, as its creative process remains confined to collecting information and synthesizing new works based on human demands. Nevertheless, AI creation provides humanity with additional avenues and methods to express inner thoughts and feelings, thereby enriching cultural prosperity.Establishing copyright ownership for AI-generated works requires corresponding protective measures. Both the user and creator (developer) should jointly bear or determine the copyright ownership of AI works. Simultaneously, the types of protected AI creations—including literary, artistic, and scientific works—must be clarified, with case-by-case analysis based on the characteristics of the creative process and outcomes. To strengthen copyright protection for AI-generated works, it is recommended to clarify their legal status, establish a copyright registration system, enhance international cooperation and exchange, and strengthen legal education and publicity. These measures can effectively address the copyright protection challenges posed by AI technology, providing robust legal safeguards for the healthy development of AI technology and societal progress
Relationship between Family Function and Adolescent Self-Injury: The Mediating Role of Regulatory Emotional Self-efficacy and Rumination
Full text linkBased on the developmental assets framework and the emotional cascade model, this study explores the relationship between family function and adolescent self-harm, as well as the mediating role of regulatory emotional self-efficacy and rumination. 682 adolescents were recruited to participate in this study with Family Assessment Device, Regulatory Emotional Self-Efficacy Scale, Rumination Response Scale-Chinese Version, Adolescents Self-Harm Scale. The results showed that: (1) family function had a significant negative impact on adolescent self-injury; (2) family function predicted adolescent self-injury through the mediating effect of rumination; (3) family function predicted adolescent self-injury through the chain mediating effect of emotional regulation self-efficacy and rumination. These findings contribute to a comprehensive understanding of the mechanisms of self-injury. They have implications for the prevention and intervention of self-injury
The Theoretical Logic and Practical Path of High-Quality Development of Agricultural Economy Under the Rural Revitalization Strategy
Full text linkUnder the background of the comprehensive implementation of the rural revitalization strategy, high-quality development of agricultural economy has become the core task of solving problems related to agriculture, rural areas and farmers, and realizing the modernization of agriculture and rural areas. Based on the connotation and requirements of rural revitalization, this paper expounds the theoretical logic of high-quality agricultural economic development from multiple dimensions such as production efficiency, industrial integration, green ecology and scientific and technological support. Combined with the realistic foundation and practical dilemmas faced by China’s agricultural development at this stage, it explores practical paths to promote high-quality development of the agricultural economy, so as to provide theoretical support and practical reference for consolidating the achievements of poverty alleviation, promoting rural construction and realizing sustainable agricultural development
Turkiye Social Panorama 2025 Volume Evaluation: The Transformation of Population and Family Structure in Turkiye
Full text linkThis study comprehensively examines the work titled “Social Panorama 2025: Population and Family,” edited by Cenk Beyaz and Faruk Tascı and published by SETA Foundation. Based on 2024 data and prepared in the context of 2025 being declared the Year of the Family (Beyaz & Tascı, 2025), this work analyzes the transformations in Turkiye’s population and family structure around five main themes: birth and death, population mobility, marriage and divorce, family-women-children-youth, and disabled and elderly. The book, created with contributions from twenty-two different authors, addresses the demographic transformation of Turkish society from a multidimensional perspective and discusses the social, economic, and cultural consequences of this transformation. This article aims to synthesize the main findings of the work and reveal current trends in Turkiye’s population and family structure
Effects of Multimodal AI on Emotional Engagement and Cognitive Strategies in Speech Training
Full text linkThis study, framed within sociocultural theory, investigates the impact of multimodal AI-assisted speech training on foreign language learners' emotional engagement and cognitive strategies. This research employed a mixed-methods approach to analyze the emotional experiences and cognitive regulation mechanisms for Chinese university students in an AI-assisted speech training environment. Results reveal that learners exhibit moderate-to-high enjoyment and moderate-to-low anxiety in this environment. Foreign language enjoyment and foreign language anxiety are significantly negatively correlated. No significant linear relationship was found between the frequency of AI use and emotional experience. Qualitative analysis indicates that learners actively and critically integrate AI feedback, demonstrating considerable cognitive strategizing and agency. The study identifies limitations of AI in providing emotional support and simulating authentic pressure, especially its difficulty in replacing the emotional interaction and contextual creation functions of human teachers. The results unveil the double-edged sword effect of AI in speech training, underscore the necessity of constructing a human-machine collaborative teaching ecosystem, and provide empirical evidence for the design and integration of intelligent pedagogical tools
AI Technology-Enabled Personalized Teaching of British Vocal Music: Practical Pathways and Research
Full text linkThe integration of artificial intelligence (AI) into vocal pedagogy presents significant opportunities for personalized instruction, yet its systematic application to the specialized domain of British vocal music remains underexplored. This study investigates practical pathways for AI-enabled personalized teaching, focusing on real-time vocal assessment, adaptive repertoire selection, and individualized performance coaching. Employing a mixed-methods approach encompassing qualitative needs analysis, prototype development, and quantitative quasi-experimental evaluation, the research evaluates the effectiveness of an AI tool designed for British vocal training. Findings indicate that AI can provide valuable, data-driven feedback that significantly improves students' technical skill, stylistic competence, and self-efficacy compared to traditional instruction alone. However, the study also identifies key limitations, particularly in AI's capacity to analyze expressive delivery and adapt to nuanced cultural-stylistic contexts. The research concludes that the most effective pathway involves a hybrid pedagogical model where AI augments the teacher by handling foundational technical reinforcement and progress monitoring, thereby freeing the instructor to focus on higher-order artistic mentorship. This study contributes a practical framework for integrating AI into tradition-rich arts education, emphasizing technology's role as a supportive assistant rather than a replacement for human expertise
Quality Assessment of Large Language Models Empowering Traditional Chinese Medicine English Translation: A Comparative Study with Online Translation Tools
Full text linkObjective: To compare the quality differences in English translations of modern traditional Chinese Medicine (TCM) texts between artificial intelligence (AI)-driven large language models (LLMs) and mainstream online translation platforms, providing empirical evidence for TCM translation practice and research in the AI era. Methods: A representative passage from the TCM textbook Fundamentals of Chinese Medicine was selected as the source text. The text was input into online translation services to generate English translations. The multidimensional quality metrics (MQM) framework was adopted to construct a scoring card covering dimensions such as terminology accuracy, omission, mistranslation, and grammar. Two TCM translation experts independently scored the translations, and the average total penalty points were calculated to measure translation quality. Results: Advanced international LLMs (Claude 3.5 Sonnet, ChatGPT-4o mini, Gemini 1.5 Flash) produced the highest quality translations, with a total penalty score of only 2, significantly outperforming traditional online translation tools. The domestic LLM (ERNIE 4.0) performed next best but was still markedly superior to all conventional online platforms. Translations from traditional online tools commonly suffered from terminological inaccuracies, mistranslations, and grammatical awkwardness. Conclusion: Current mainstream LLMs demonstrate a significant advantage in translating modern TCM texts regarding terminological accuracy and linguistic fluency, achieving a basically usable level. However, LLMs still exhibit limitations when processing specific TCM terms with abstract meanings. Future research should further explore their application potential in translating ancient TCM classics and develop optimized prompt strategies integrated with expert knowledge.
Pragmatic Analysis of Selected WhatsApp Chats
Full text linkWhatsApp chats are human communication activities in which language is put to use by social actors (discourse participants). Language operates therein as units of communication with one or more topics. A pragmatic analysis of WhatsApp chats examines who utters an utterance, why the utterance is uttered and where the utterance is made; indeed, these are crucial issues in the analysis of WhatsApp chats. Such an analysis is a linguistic approach towards investigating the concept of meaning in human communication, which in social media, shows the link between ‘context’ and ‘meaning’ as evident in the selection and sequencing of speech acts. Arguably, language use cannot be divorced from the discrete contexts that produce it. In communicative events, different contexts are invoked for the purpose of making speech acts ‘easy to mean’. This shows the intentional nature of speech acts. This study is poised to explain the fact that speakers’ intentions, beliefs and principle-driven use of language can be elucidated through a pragmatic-analyst approach to WhatsApp conversations. The theoretical framework of this study is Bach and Harnish’s (1979) speech act theory. The study finds out that in WhatsApp chats, illocutionary acts are selected and sequenced according to communicative goals; and expressions pick referents that are either abstract or concrete from the immediate or remote world