Trends in Social Sciences and Humanities Research
Trends in Social Sciences and Humanities Research (TSSHR) is an international peer-reviewed, open access journal covering social sciences and humanities.
VISUAL ANALYSIS OF LITERATURE ON CHINA’S PARTICIPATION IN INTERNATIONAL HEALTH COOPERATION BASED ON CITESPACE
Objective: To analyze the research hotspots and evolution trends in China's participation in international health cooperation through bibliometric methods, with the aim of providing references for improving research in this field. Method: Data was extracted from the VIP Chinese Journal Service Platform. The retrieval period was from 1998 to 2024. CiteSpace software was used to analyze the selected literature to form a visual scientific network map. Result: Research on China's participation in the field of international health cooperation has increased significantly since 2019. The author collaboration network has taken shape initially. The research mainly focuses on "public health", "international cooperation", "global governance" and "COVID-19 pandemic", etc. Conclusion: International cooperation, global health governance and public health have become the key points of continuous attention for China's participation in international health cooperation research. In the future, theoretical discussions should be further deepened, multi-disciplinary integration should be strengthened, new issues in global health governance should be focused on, and innovation in international cooperation mechanisms should be promoted to achieve a fairer, more effective and sustainable global health governance system.
China's participation in international health cooperation
Copyright (c) 2026 YanQi Dong; LiJiang Zhang https://creativecommons.org/licenses/by/4.0
BUILDING A CLOSED-LOOP FOR CHILD EMOTIONAL INTERVENTION: INTEGRATING OPTICAL SENSING, MOTION CAPTURE, AND MULTIMODAL ANALYSIS
Aiming at the core pain points in emotional management intervention for children aged 4-12, namely "intrusive physiological data collection, insufficient motion capture accuracy, and disconnection between motion and physiology," this paper relies on a multimodal interactive somatosensory emotional management platform. It integrates optical quantum non-contact sensing, ToF high-precision motion capture, and multimodal motion analysis as three independent technical dimensions to construct a five-element data source system of "physiology-motion-analysis-environment-quantum wave" and optimize the closed-loop of "dimension identification-digital human action-social application." Optical quantum non-contact sensing enables non-invasive collection of heart rate variability (HRV) and electrodermal activity (EDA) with a sampling frequency of 10Hz and data transmission delay below 10ms, increasing the success rate of physiological data collection for special needs children from 60% to 95%. ToF high-precision motion capture, utilizing a 13-megapixel depth camera and self-developed algorithms, supports real-time tracking of 342 human skeletal points with motion accuracy of 0.1mm and response delay under 25ms. Multimodal motion analysis independently processes optical quantum physiological data and ToF motion data through spatiotemporal alignment, feature fusion, and correlation modeling to establish a mapping between motion features, physiological responses, and emotional states, achieving an analysis accuracy of at least 92% and addressing the research gap in motion-physiology integration. Practical application involving 1,500 children across 12 cities in East, North, and South China demonstrates that the collaboration of these three technical dimensions increases the accuracy of children's emotional recognition to 90% (80% for children with autism), improves intervention effectiveness by 29 percentage points, and achieves a skill transfer rate of 80%. This study provides a comprehensive pathway of "non-intrusive collection, high-precision capture, scientific analysis, and full-scene application" for children's emotional management.
Copyright (c) 2026 XiaoQing Wang https://creativecommons.org/licenses/by/4.0
SATISFACTION PREDICTION OF URBAN WATERFRONT SPACE LANDSCAPES USING CNNS
Urban waterfront spaces, as core carriers integrating the natural and human environment, possess both ecological regulation and public activity functions. Their quality directly impacts user satisfaction. However, current construction suffers from problems such as incoordination with the urban environment and insufficient ecological protection. Traditional satisfaction evaluation methods based on questionnaires and expert ratings are highly subjective and inefficient. This study aims to construct an efficient and accurate prediction model for urban waterfront space landscape satisfaction, providing technical support for spatial planning optimization. Through a multi-source data fusion strategy, landscape images, environmental parameters, user questionnaires, and behavioral data were collected to construct a comprehensive dataset. A prediction model was designed based on a convolutional neural network (CNN), optimizing key parameters such as kernel size and learning rate. Performance was compared with support vector machine (SVM) and random forest (RF) models. The results show that the constructed CNN model achieves a prediction accuracy of 87.3%, a coefficient of determination R2 of 0.891, and a root mean square error (RMSE) of 0.324, significantly outperforming traditional machine learning models. This study introduces deep learning technology into the field of urban waterfront space evaluation, improving the efficiency and objectivity of satisfaction assessment and providing new technical paths and decision-making basis for the sustainable development of urban waterfront spaces and urban renewal.
Copyright (c) 2026 XiaoYao Liu https://creativecommons.org/licenses/by/4.0
LIFE WORLD AS A METHOD: CONCEPTUAL INNOVATION IN THE PRACTICE OF SHORT VIDEOS ON TRADITIONAL CHINESE MEDICINE CULTURE FROM THE PERSPECTIVE OF INTERNATIONAL COMMUNICATION
The "cultural gap" in cross-cultural communication has long constrained the effectiveness of international communication of traditional Chinese medicine (TCM) culture. The underlying cause lies in the prevailing "canon-centered" communication ideology, which transforms dynamic, lived knowledge into abstract theoretical texts, thereby excluding the dimension of life. Drawing on Husserl's lifeworld theory, this paper proposes "life-oriented communication" as a core pathway for conceptual innovation, advocating a shift from interpretive theory to the presentation of life and the cultivation of cross-cultural empathy through the activation of shared embodied human experiences. This study first traces the "life genes" of Qilu TCM culture, demonstrating that its practices—such as the integration of medicine and food, seasonal health preservation, and bodily techniques—inherently possess the potential for cross-cultural empathy. It then critiques the current "absence of life" in TCM communication, clarifying the theoretical connotation of life-oriented communication as a reconstruction of communication philosophy. Finally, taking short video practices as an empirical focus, it analyzes how medium affordances, including vertical screen immersion, daily scenarios, and personalized narratives, provide technical carriers for life-oriented communication, and how the progressive mechanism of "embodied activation → emotional projection → cultural curiosity" enables empathetic communication. The research suggests that life-oriented communication marks a paradigm shift in international communication from "cultural output" to "life sharing," offering new conceptual resources for the internationalization of TCM culture and the creative transformation of China's fine traditional culture.
Copyright (c) 2026 YiShu Zhang https://creativecommons.org/licenses/by/4.0
BRIDGING THE DIGITAL-CULTURAL DIVIDE: DIGITAL LITERACY AND COMMUNICATIVE EMPOWERMENT OF ICH INHERITORS IN CHINA
This study investigates the digital literacy crisis facing Intangible Cultural Heritage (ICH) inheritors in China, a group pivotal for cultural sustainability yet increasingly marginalized in the digital public sphere. Focusing on marriage custom inheritors in Zhejiang Province, we develop and validate a "Culture-Communication" oriented tripartite model of digital literacy—comprising survival, production, and communication competencies. Employing a mixed-methods approach (N=317 survey; n=15 interviews), the research reveals severe structural imbalances in digital competencies, marked by a critical deficit in content production skills. Significant geographic and generational "mirror fractures" are identified, where technical proficiency and cultural authority are inversely distributed across age groups. A Structural Equation Model confirms digital production competency as the primary driver of perceived communication efficacy (Total β=0.78). The findings diagnose a triple rupture chain—subjective, technical, and institutional—constraining effective digital dissemination. In response, the study proposes an integrated "Three-Path Synergy & Five-Dimensional Empowerment" framework. This model advocates for systemic interventions at individual, organizational, and policy levels to enhance literacy, coupled with strategic empowerment in content, IP, platforms, community, and ecosystem development. The framework aims to facilitate inheritors' subjectivity reconstruction from passive cultural holders to proactive digital communicators, offering a actionable pathway for ICH's adaptive evolution within national cultural digitalization strategies.
Copyright (c) 2025 YiWu Zhou https://creativecommons.org/licenses/by/4.0
THE IMPACT OF “TRADE-IN” POLICIES ON CONSUMERS’ PURCHASE INTENTIONS FOR HOUSEHOLD APPLIANCES: EMPIRICAL EVIDENCE FROM GUANGZHOU RESIDENTS
Against the backdrop of China’s nationwide household appliance trade-in policy aimed at promoting green consumption and expanding domestic demand, this study examines how policy instruments influence consumers’ purchase intentions from a sustainability-oriented behavioral perspective. Drawing on the Howard–Sheth consumer behavior model, an integrated framework is constructed to analyze the effects of external policy stimuli—including subsidies, after-sales services, procedural arrangements, and recycling schemes—on purchase intention through perceived value, perceived risk, and social influence. Based on 965 valid questionnaires collected through online and offline surveys in Guangzhou, structural equation modeling is employed to test the proposed relationships. The results show that subsidy policies exert the strongest overall impact on purchase intention, mainly by enhancing perceived value and social influence, while procedural and recycling policies indirectly promote intention by improving value perception and social identification. Among cognitive factors, perceived value has the most significant positive effect, whereas perceived risk markedly suppresses purchase intention. These findings reveal the micro-level mechanisms of policy-driven sustainable consumption and provide practical implications for optimizing trade-in policy design beyond a subsidy-centered approach.
Copyright (c) 2026 ZiXin Fang; KaiQi Liang; ChongHua Zhu; Ting Zhou https://creativecommons.org/licenses/by/4.0
CONSTRUCTION AND APPLICATION OF A THREE-DIMENSIONAL EVALUATION SYSTEM FOR EMPLOYMENT QUALITY OF HIGHER VOCATIONAL GRADUATES: PROFESSIONAL FIT - STAKEHOLDER SATISFACTION - CAREER DEVELOPMENT CAPABILITY
Addressing the common challenges in current higher vocational education employment quality assessments—such as "reliance on single metrics, fragmented data, and delayed feedback"—this paper draws from practical experiences in vocational education to develop a three-dimensional evaluation framework: "Program-Industry Fit - Stakeholder Satisfaction - Career Development Capability". Grounded in the principles of being "perceptible, communicable, and actionable," the framework employs concrete methods like matching programs with industry codes, conducting graduate satisfaction surveys, and following up with career development tracking. These approaches transform abstract quality indicators into tangible, actionable markers represented by symbols—"circle, smiley face, and arrow"—and utilize a "red-yellow-green" traffic-light grading system alongside a structured "six-step closed-loop" implementation process. This innovative approach effectively tackles the longstanding issues of traditional evaluations being "difficult to understand and hard to apply". Ultimately, the study aims to equip higher vocational institutions with a unified employment quality assessment framework, fostering a positive synergy between evaluation practices and talent-development reforms, while providing replicable and scalable best practices to enhance and optimize vocational education.
Copyright (c) 2025 YuanYu Li https://creativecommons.org/licenses/by/4.0
VISUAL ANALYSIS OF RESEARCH ON WEAVING AND EMBROIDERY ART BASED ON KNOWLEDGE MAP
This study employs knowledge graph visualization analysis to conduct scientometric and comparative analysis of academic literature on textile and embroidery art research from 2004 to 2024. Differing from traditional literature reviews that are limited by subjective judgments, the research utilizes computer science data analysis tools to present the knowledge structure, core themes, and cutting-edge trends in textile and embroidery art research, while proactively identifying deeper research gaps and interdisciplinary intersections. Macroscopically, the CiteSpace data analysis software is employed to examine the diachronic spatial dimensions of textile and embroidery art research development. Microscopically, the LDA topic model is applied to the literature dataset for data modeling, exploring implicit thematic structures within the dataset. This study provides objective and quantifiable empirical evidence for future research in textile and embroidery art, promoting the integration of traditional humanistic speculation with scientific data computation in academic research, and offering methodological references for other art and humanities disciplines.
Copyright (c) 2026 Qing Miao https://creativecommons.org/licenses/by/4.0
CHALLENGES IN TECHNOLOGY INNOVATION-DRIVEN ECONOMIC DEVELOPMENT: VALUE CONFLICTS AND GOVERNANCE COUNTERMEASURES IN THE APPLICATION OF ARTIFICIAL INTELLIGENCE
In the process of global economic transformation and upgrading, Artificial Intelligence (AI), as a core field of technological innovation, has become a key force driving economic growth due to its significant role in improving production efficiency and optimizing industrial structures. However, the characteristics of AI technology, such as data dependence, algorithmic black boxes, and autonomous decision-making, while empowering economic development, have also triggered three core challenges: data application (issues of privacy protection and fairness), algorithm application (insufficient interpretability and short-term interest orientation), and labor market (structural unemployment and unfair competition). Behind these challenges, the in-depth value conflicts between efficiency and equity, innovation and sustainable development, as well as individual rights and collective interests are further highlighted. If not effectively addressed, these conflicts will restrict the sustainable application of AI technology and affect the stability of economic development.Taking AI applications as the research object, this paper systematically analyzes the specific challenges faced by AI in the process of technological innovation-driven economic development and deconstructs the logic of value conflicts behind these challenges. On this basis, targeted governance countermeasures are proposed from four dimensions: improving laws, regulations and supervision, promoting algorithm transparency, strengthening talent cultivation and employment transformation, and building a multi-stakeholder collaborative governance mechanism. The purpose is to provide theoretical support and practical reference for realizing the coordinated development of AI technology, economy and society, and promoting high-quality economic development driven by technological innovation.
Copyright (c) 2025 YuHan Xiao https://creativecommons.org/licenses/by/4.0
EXPLORING THE ASSOCIATION BETWEEN SOCIAL MEDIA USE AND PROSOCIAL BEHAVIOR IN POLICE CADETS
China’s social media development is attracting scholars to shift their research topics from international to domestic. Researchers bring negative comments on platforms such as "Xuexi Qiangguo". Our study focuses on general situation of young college students using of social media, as well as aim to understand perceived stress, job values and knowledge sharing. We selected senior cadets of police college, who are young undergraduate students, and also have an important mission of political capacity building. Based on the previous questionnaire and statistic methods, our research found that students using "Xuexi Qiangguo" social media app more correlated to less stress, higher commitment to police work, and more knowledge sharing in prosocial, self-efficacy and real-world behaviors. Our research shows high correlation between using of the "Xuexi Qiangguo" and better students. It also provides frameworks for exploring the app's education function to young students.
Copyright (c) 2025 HuSheng Xu; JiaWen Xu https://creativecommons.org/licenses/by/4.0
TECHNOLOGICAL INNOVATION IN CHINESE OPERA FILMS SINCE THE NEW CENTURY
As a unique genre of Chinese cinema, opera films have always undertaken the mission of inheriting traditional Chinese culture. Since the new century, the explosive development of digital technology has broken its rigid paradigm of "stage recording" and promoted media reconstruction and aesthetic transformation. This article explores the paths of technological innovation in opera films from three dimensions: technological aesthetics, the integration of 3D/VR/XR technologies, and image empowerment with technological breakthroughs. The findings show that digital technology not only reconstructs the spatial, soundscape and narrative logic of opera, but also revolutionizes the production process, audience-performer relationship and communication field through in-depth integration with emerging technologies. The essence of technological innovation lies in the self-adaptation and proactive evolution of traditional culture in the digital age, with its core being to uphold the ontological aesthetics of opera, find a precise balance between technological rationality and artistic sensibility, and ultimately help opera art achieve creative transformation and innovative development in the contemporary context.
Copyright (c) 2025 JingRu Wei https://creativecommons.org/licenses/by/4.0
THE INFLUENCE OF AI-ENABLED SMART COURSES ON THE TEACHING PEDAGOGY IN HIGHER EDUCATION
With the rapid advancement of artificial intelligence (AI) and educational technology, smart courses have emerged as a transformative force in reshaping English language teaching (ELT) pedagogy in higher education globally. This paper explores the impact of smart courses on ELT pedagogy by first reviewing the development of smart courses and distinguishing them from traditional online learning platforms such as MOOCs and Coursera. It then analyzes the revolutionary changes brought by AI empowerment, focusing on three dimensions: reform in AI-enabled education, the specific impacts on teaching pedagogy (encompassing teachers, students, and management and evaluation), and the overall influence on higher education. Finally, the study also raises some concerns about future research of smart courses.
Copyright (c) 2025 LiShan Lv https://creativecommons.org/licenses/by/4.0
CONSTRUCTION AND PRACTICE OF AN INTEGRATED TALENT TRAINING MODEL IN VOCATIONAL EDUCATION UNDER THE RURAL REVITALIZATION STRATEGY
Vocational education plays a vital role in supporting China's Rural Revitalization Strategy by cultivating skilled professionals for rural industries and communities. However, current training systems often suffer from fragmented curricula and weak connections with industrial and local needs. This study proposes an Integrated Talent Training Model that combines theoretical education, practical training, industrial collaboration, and community participation within a unified framework.Based on System Theory, Industry–Education Integration Theory, Constructivist Learning Theory, and Rural Sociology Theory, the model emphasizes multi-dimensional integration—linking education with industry, theory with practice, and schools with local communities.Case studies from rural-oriented vocational colleges show that the model enhances students' professional competence, strengthens school–industry partnerships, and promotes talent retention in rural areas. The findings indicate that the integrated model not only bridges the gap between vocational education and rural development but also provides a replicable mechanism for aligning education reform with local revitalization.
Copyright (c) 2025 ShiXiong Guo https://creativecommons.org/licenses/by/4.0
FROM THE SPATIAL TURN TO GEOGRAPHICAL ONTOLOGY: THE DEVELOPMENT OF CHINESE LITERARY GEOGRAPHY
This article analyzes the formation and theoretical development of Chinese Literary Geography. It places this field within the global intellectual shift towards spatial analysis, known as the "Spatial Turn." The study outlines a central tension shaping the discipline between two approaches: the "Geographical Perspective," influenced by Western theories of space, power, and representation, and the "Literary Perspective," grounded in traditional Chinese methods of mapping authors and regional literary history. The article follows the field's philosophical progression, noting its move from a human-centered view to a "Geographical Ontology" that emphasizes the fundamental material relationship between people and their environment as a basis for literature. In terms of method, it assesses how Chinese scholars have applied and adapted Western frameworks like Geocriticism, Imaginative Geographies, and digital literary mapping to bridge detailed textual study with broader pattern analysis. The argument concludes that the path forward for Chinese Literary Geography is through a deliberate synthesis of its diverse traditions. This "New Literary Geography" aims to combine empirical research with spatial theory, focusing on the literary text as the core site where geographical reality is constructed and transformed.
Copyright (c) 2025 Li Gu https://creativecommons.org/licenses/by/4.0
DISCURSIVE CONSTRUCTION OF CHINA’S NEW QUALITY AGRICULTURAL PRODUCTIVITY IN INTERNATIONAL NARRATIVES: A STUDY BASED ON LDA TOPIC MODELING AND CRITICAL DISCOURSE ANALYSIS
This study investigates the discursive construction of New Quality Agricultural Productivity (NQAP) in China’s international communication, employing a hybrid methodological framework that integrates Latent Dirichlet Allocation (LDA) topic modeling with Critical Discourse Analysis (CDA). Through an analysis of coverage from China Daily and Global Times , the research explores how Chinese media utilize strategic narratives to project a modernized agricultural identity. The findings reveal seven core topics, which are further synthesized into three overarching dimensions: (1) Global Governance and Multilateral Synergies, (2) Technological Paradigms and Digital Rural Transformation, and (3) Material Foundations and Value Chain Optimization. The analysis indicates that China’s agricultural narrative has undergone a significant paradigm shift toward systemic technological reconfiguration, transforming abstract policy into a perceptible modern landscape through tangible communicative carriers such as drones, agricultural robots, and high-yield seeds. This discourse recontextualizes China’s international identity as a constructive contributor to global agricultural governance, offering complementary perspectives on modernization rooted in inclusive growth and material security. Ultimately, this study contributes to understanding the dynamic and constructed nature of national technological identities in cross-cultural settings and provides insights into how strategic communication facilitates the diversification of global governance paradigms.
Copyright (c) 2026 WenJing Shen; TianTianWang; ZiQian Tang https://creativecommons.org/licenses/by/4.0
THE INNOVATION OF COLLEGE ENGLISH MULTIMODAL TEACHING FROM THE PERSPECTIVE OF ARTIFICIAL INTELLIGENCE LITERACY--AN EMPIRICAL ANALYSIS BASED ON 127 QUESTIONNAIRES
The rapid development of Generative Artificial Intelligence (GenAI) is reshaping the college English teaching ecosystem. The challenge of how to maintain the core value of language teaching in the face of the widespread integration of AI has become a new, urgent imperative for college English education. Based on survey data from 127 college students, this paper analyzes the current status and deficiencies of students' Artificial Intelligence Literacy (AIL) across four dimensions: AI knowledge, AI skills, AI attitude and values, and AI ethics. The results indicate significant shortcomings among students in prompt engineering and the critical evaluation of AI-generated content. Addressing these issues, this paper proposes an innovative model for college English teaching based on GenAI applications, promoting the synergistic development of students' language proficiency and AI literacy. AI literacy education (AILE) should be embedded in the language learning process, activating learners' meaning construction and creativity through multimodal tasks to achieve technology-enabled innovation in college English multimodal teaching.
Copyright (c) 2025 ZhiYing Li; JianLong Xu; MingRui Ai; Lv Lin https://creativecommons.org/licenses/by/4.0
THE IMPACT OF GOVERNMENT INNOVATION POLICIES ON CORPORATE INNOVATION BEHAVIOR
Under the innovation-driven development strategy, innovation is an inevitable requirement for China's sustainable development, and enterprises are the main drivers of innovation. This paper studies the impact of government innovation policies on enterprise innovation behavior. It manually collected the cumulative effective number of innovation policies from 31 provinces across China from 2008 to 2017 as the research object. Simultaneously, it uses the number of patent applications by enterprises to measure their innovation behavior, establishing a panel data regression model to empirically test the impact of government innovation policies on enterprise innovation behavior. Furthermore, this paper analyzes the different effects of government innovation policies in the eastern, central, and western regions. The empirical results show a significant positive correlation between China's government innovation policies and the number of patent applications by enterprises, indicating that China's government innovation policies are effective and play a positive role in increasing the number of patent applications by enterprises. This demonstrates the significant importance of innovation policies in China's implementation of the innovation-driven development strategy.
Copyright (c) 2026 QiChang Guo; SiMin Liu; JiaYi Li; Min Liu https://creativecommons.org/licenses/by/4.0
PREDICTING USER ACTIVITY AND INTERACTION SEQUENCES ON SOCIAL PLATFORMS BY INTEGRATING ENSEMBLE LEARNING AND TIME SERIES DECOMPOSITION
Addressing the highly discrete and complex patterns of user behavior on social platforms, this study constructs a predictive framework combining ensemble learning with dynamic time series decomposition to achieve precise modeling of user online status and interaction behaviors. Within the user online status recognition and multi-level influencer recommendation models, the study first extracts key features such as the user's past 3-day, 7-day, and historical total active days. Utilizing a random forest classifier to capture the nonlinear correlations in user behavior, it effectively determines the online status for specific dates. Subsequently, by defining an interaction score formula incorporating time-decay weights and integrating user preferences with global popularity, the model efficiently recommends interactive bloggers, achieving a recall rate of 80.48% on the validation set. In precise temporal interaction prediction based on user segmentation and time series decomposition, this study addresses the temporal periodicity of historical behavior by introducing the Facebook Prophet model. Through automatic decomposition of trend and seasonal components, it captures user activity patterns during holidays and specific periods. To enhance prediction accuracy, the study further clusters users using the K-means algorithm and configures model hyperparameters based on behavioral feature differences. Experimental results demonstrate that this approach effectively addresses the challenge of predicting interaction intensity across time intervals under sparse data conditions, providing scientific decision support for personalized platform operations.
Copyright (c) 2026 ZhiYang Chen; Wei Ding; GengYan Li https://creativecommons.org/licenses/by/4.0
THE APPLICABILITY OF “INVISIBLE DEATH” TO POSTWAR HONG KONG REGION
The French historian Philippe Ariès posited that the twentieth century ushered in an era of “invisible death,” where death became increasingly marginalized and secluded in the process of modernization, turning into a secretive taboo. While this theory offers a pivotal framework for understanding the transformation of death in Western society, its applicability to non-Western contexts remains untested. Post-war Hong Kong region provides a valuable case study for this examination.Therefore, the death in post-war Hong Kong region did not fade out of social vision, but was re-anchored through a series of institutional and ritual practices, becoming a continuously visible component of social structure. By analyzing this unique case, this study not only reveals the cross-cultural application limitations of the “invisible death” theory, but also attempts to clarify the cultural institutional arrangements that maintain and reconstruct the visibility of death in modern society.
Copyright (c) 2025 ChengDian Song https://creativecommons.org/licenses/by/4.0
THE INNOVATIVE DISSEMINATION OF TRADITIONAL CULTURE VIA SHORT VIDEOS: A CASE STUDY OF GUOFENG INFLUENCER ZHU TIEXIONG
The digital era of short videos has reshaped the methods of content presentation and transmission pathways for traditional culture. Cultural heritage forms such as Chinese opera and folk arts leverage the fragmented and lightweight nature of short videos to overcome previous dissemination limitations and achieve value regeneration. This study takes Douyin influencer Zhu Tiexiong as a case study to analyze the paradigm innovation and communicative impact of traditional culture within the short video ecosystem. As a creator of "Guofeng" transformation videos, Zhu integrates elements of traditional culture—including Peking Opera, face-changing, lion dance, and Yingge Dance—with modern aesthetics. Through creative audiovisual expression and meticulous production, he enables a broader audience to appreciate the beauty of traditional culture, thereby providing a practical model for its dissemination and inheritance in the short video era.
Copyright (c) 2025 LiNa Yan; QingYang Wang https://creativecommons.org/licenses/by/4.0
DYNAMIC EVALUATION OF OPPORTUNITY INEQUALITY AND POLICY OPTIMIZATION VIA THE HST-GBM MODEL
In the context of China’s rapid economic development and structural transformation, inequality of opportunity has become a major obstacle to upward mobility and the achievement of common prosperity. This study proposes an innovative Hybrid Spatiotemporal Gating-Boosted Model (HST-GBM), integrating LSTM, XGBoost, fixed-effects models, and gated recurrent units, to address the limitations of traditional methods in capturing nonlinear, heterogeneous, and intertemporal dynamics. Using CFPS panel data from 2010 to 2022, the study examines the evolution of opportunity inequality and its key drivers. First, the model effectively quantifies the relative impact of individual effort and environmental factors, revealing a long-term trend of declining inequality and increasing influence of personal effort. Second, the analysis shows that opportunity structures are highly responsive to policy changes, with effort-related impacts intensifying during reform windows. Finally, the study offers targeted policy recommendations that emphasize adaptive algorithms and effort-oriented approaches. Overall, this research contributes by advancing methodological innovation, enriching the theoretical understanding of dynamic inequality, and providing empirical support for policies aimed at promoting social equity and long-term stability.
Copyright (c) 2025 Han Wu; RuoShi Wang; YuQi He https://creativecommons.org/licenses/by/4.0
THE LINMO–CHUANGZUO BIDIRECTIONAL TRANSFORMATION MECHANISM IN CHINESE LANDSCAPE PAINTING
This article investigates how shan shui (Chinese landscape painting) realizes a bidirectional transformation between linmo (copying after the masters) and chuangzuo (creative work), and reassesses its contemporary value. Adopting a qualitative pathway of concept archaeology, paradigm restatement, and operationalization, it constructs a Double-Loop, Four-Stage (DLFS) mechanism. The outer loop— qufa (appropriating a canon), jiefa (explicating its logic), yunfa (deploying it under a new brief), and chufa (issuing one’s method)—clarifies the progression from paradigmatic models to individualized procedure; the inner loop— mo (copy), xi (analyze), bian (vary), and zheng (validate)—models cyclical calibration in practice. Three operational modules are advanced: Canon–Nature Cross-Validation ( linben–ziran huzheng ), “Three-Distances” Spatial Analysis ( san yuan: pingyuan, gaoyuan, shenyuan ), and Poetic Scene-Making ( shixing zaojing ). These correspond to three soft criteria—structural legitimacy, spatial navigability, and semantic governance. Two case studies demonstrate that, without breaching canonical principles ( lifa ), minimal and interrogable adjustments can reliably effect the passage “from copying to creation,” while creation feeds back to improve copying—thus substantiating the loop. Grounded in Song-period paradigms, the model’s extension to Yuan–Ming–Qing and contemporary ink requires an adapter layer for material, subject, and venue, and cross-media application presupposes structural mapping.
Bidirectional transformation between copying ( linmo ) and creation ( chuangzuo )
Copyright (c) 2025 ChangPu Wu https://creativecommons.org/licenses/by/4.0
CONSERVATION AND UTILIZATION OF THIRD-LINE INDUSTRIAL HERITAGE: A CASE STUDY OF THE CROW CAVE
The material and intangible remains of Third-line Construction industrial heritage collectively constitute its unique historical, social, scientific, economic, ideological, and emotional values. Within the current context, adopting “museumification” as an academic and practical pathway facilitates the systematic integration of standardized museum concepts and conservation experience, thereby exploring protection and utilization models suited to the characteristics of such heritage. Taking China’s First Aero-engine Manufacturing Plant as an example, its musealization should integrate digital museum technologies and the conceptual framework of the industrial ecomuseum, while adhering to the dual logic of cultural heritage conservation that combines “holistic and scientific approaches” with “authenticity and living preservation”. At the level of utilization, it is necessary to establish a systematic thinking that integrates scientific research, cultural-tourism synergy, and cultural-education fusion. Hence, from a methodological perspective, a “systematic-living” approach is the prerequisite for achieving effective conservation and value activation. Third-line industrial heritage in the new era should assimilate new concepts and practical experiences, fully manifest the heritage form shaped by the interplay of people, time, and space, and ultimately realize the return and fulfillment of its resource value in contemporary development.
Copyright (c) 2025 XinMing Wang https://creativecommons.org/licenses/by/4.0
A CORPUS-BASED ANALYSIS OF GUANGZHOU’S CITY IMAGE IN THE GLOBAL TIMES DURING THE COVID-19 PANDEMIC
City image is the spirit and appearance of the city as a whole, the all-round and global image of the city, including the overall style and appearance of the city, and the overall values, mental outlook and educational level of the city residents. It is of great significance to shape a good city image for the progress of the city and the promotion of foreign exchanges and cooperation. With the acceleration of globalization, the shaping and dissemination of city image on the global stage has become more and more important. Especially in the context of the Covid-19 pandemic, a global public health crisis, how cities around the world responded to the pandemic and how their images were presented in the international media has become a focus of attention for all sectors of society. As a significant first-tier city in China, Guangzhou gained extensive attention from domestic and international media during the Covid-19 pandemic due to its positive performance and the effect it brought in the prevention and control of the Covid-19 pandemic. Global Times , a Chinese comprehensive newspaper with national circulation and the only one that conveys general news to foreign countries in line with China’s basic national conditions. It conveyed information to the world about Guangzhou’s fight against the Covid -19 pandemic and shaped Guangzhou’s city image through its international communication platform during the pandemic. In this paper, we adopt the corpus method to analyze the discourse characteristics of Global Times ’ news reports and Guangzhou’s city image during the Covid-19 pandemic from the perspectives of keywords and high-frequency words, and explore the factors affecting the shaping of Guangzhou’s city image based on critical discourse analysis. The study finds that Global Times ’ news coverage of Guangzhou focused on three major themes: current events around Guangzhou, the Covid-19 pandemic and transportation; and emphasized the views and attitudes of authorities such as the government and experts; and used positive words to portray Guangzhou as a cosmopolitan city that is pragmatic, hardworking, people-centered, people-serving, and open and friendly. This paper argues that these images are related to the idea of China’s development, the purpose of Global Times and Guangzhou’s urban culture.
Copyright (c) 2025 ZiHan Zhao; Fei Deng https://creativecommons.org/licenses/by/4.0
THE SYMBIOTIC RELATIONSHIP AND DYNAMIC BALANCE OF THE FIVE GOVERNANCE ELEMENTS IN THE COMMUNITY GOVERNANCE ECOSYSTEM—A CASE STUDY OF COMMUNITY S IN CITY C
To address the dilemma of fragmented governance elements and inadequate coordination in the modernization of urban community governance, this paper introduces ecological theory into community governance to examine the symbiotic relationships among the five governance elements of “politics, rule of law, moral governance, intelligent governance, and self-governance” within the community governance ecosystem, and proposes a theoretical research framework of “element symbiosis-system balance”. Through an in-depth case study of Community S, this paper verifies that Party-building leadership functions as the “core ecological niche” in the community governance ecosystem. It further reveals the dual mechanisms of complementary symbiosis between politics and intelligent governance, and competitive and cooperative symbiosis between rule of law and moral governance. Additionally, this study demonstrates that intelligent governance technology acts as a key lever to break the inefficient balance of traditional governance. This study provides a theoretical explanation and practical path for addressing the fragmentation of governance elements in urban community governance through the achievement of dynamic balance.
Integration of the five governance elements
Copyright (c) 2025 YangYang Xu; Yan Li; Yang Liu; SiMing Zhang https://creativecommons.org/licenses/by/4.0
ENGLISH TRANSLATION AND DISSEMINATION OF GUANGXI CLOTHING CATEGORY INTANGIBLE CULTURAL HERITAGE
This study examines ethnic minority costumes collected by the Guangxi Zhuang Brocade Museum and Guangxi Ethnic Museum, employing field investigations, document analysis, and artifact authentication to investigate the technical characteristics of textile production, dyeing, embroidery, and craftsmanship in Guangxi's intangible cultural heritage of traditional attire. The research reveals that these costumes serve dual functions as identity markers—both distinguishing ethnic groups and symbolizing internal lineage divisions. Notably, certain techniques and patterns demonstrate cross-cultural integration through borrowing elements from other ethnic traditions. The successful translation of Guangxi's intangible cultural heritage in clothing-related fields will enhance regional branding and amplify the global dissemination of cultural symbols.
Copyright (c) 2025 JinSheng Wang https://creativecommons.org/licenses/by/4.0
NEWS AVOIDANCE PHENOMENON OF "GENERATION Z" IN THE ERA OF INTELLIGENT COMMUNICATION-AN EMPIRICAL ANALYSIS BASED ON 311 QUESTIONNAIRES
With the rapid development of new technologies such as 5G, big data, and artificial intelligence, news communication methods and audience reception habits have undergone significant changes. This study focuses on "Generation Z" (born 1995-2009), a group of digital natives, and uses the questionnaire survey method to collect 311 valid samples to deeply explore the phenomenon of news avoidance among "Generation Z" in the era of intelligent communication. The study found that the news consumption habits of "Generation Z" are characterized by socialized channels, entertaining content, and visualized forms; news avoidance behavior is mainly caused by factors such as personal preferences, information overload, algorithmic recommendations, and information disorder; this behavior may have both negative effects such as information cocoons and social differentiation, as well as positive effects such as enhancing individual autonomy and promoting journalism innovation. Based on this, this study proposes countermeasures from five levels: communicator, content, channel, audience, and effect, aiming to build a trusted news ecosystem that conforms to the information consumption logic of "Generation Z".
Copyright (c) 2025 YiHua Yang; YuCheng Huang https://creativecommons.org/licenses/by/4.0
APPLICATIONS AND ETHICAL CHALLENGES OF ARTIFICIAL INTELLIGENCE IN ACADEMIC RESEARCH
Artificial intelligence (AI) technologies are now widely applied in academic research. On one hand, AI serves as a powerful auxiliary tool that significantly enhances the efficiency of scientific inquiry; on the other, it introduces ethical challenges that demand urgent attention and resolution within the scholarly community. This paper examines the applications of AI in academic research alongside its associated ethical dilemmas. It first outlines the role of generative AI in writing and education, as well as its applications in medical research; second, it analyzes the resulting issues of algorithmic bias, academic integrity, and privacy risks; third, it proposes corresponding ethical guidelines and adjustments to institutional review mechanisms. The conclusion offers governance strategies for a responsible AI-driven academic ecosystem to ensure the sustainability and fairness of scholarly pursuits.
Copyright (c) 2025 LiWei Xue https://creativecommons.org/licenses/by/4.0
AI INTELLIGENT EVALUATION MODEL OF ART DESIGN EDUCATION: TEACHING DIAGNOSIS METHOD BASED ON MULTI-MODAL DATA
The evaluation of art design education has long faced the challenges of difficult quantification of teaching process, strong subjectivity of evaluation of creative achievements, and difficulty in taking into account the characteristics of disciplines. Based on this, this study constructs a set of AI intelligent evaluation model based on multimodal data: by integrating the three core modules of teaching process diagnosis, learning achievement evaluation and discipline characteristics adaptation, a complete evaluation system from data collection to diagnostic feedback has been established. Based on the formative evaluation theory and multiple intelligence theory, this model systematically collects the behavior data, work data and process data of teachers and students in the digital teaching environment, and then uses algorithms like decision tree analysis, LSTM time series analysis, CLIP semantic matching to realize the accurate diagnosis of the teaching process and the multi-dimensional evaluation of the learning results. In Shanghai Gongmei teaching, the model improves the accuracy of teaching process diagnosis by 30 %, the objectivity of achievement evaluation by 35 %, and the accuracy of student growth tracking by 92 %, which proves that it can effectively promote the transformation of art design education evaluation from empirical judgment to evidence-driven paradigm.
Copyright (c) 2025 Cheng Huang https://creativecommons.org/licenses/by/4.0
THE IMPACT OF ECOLOGICAL MIGRATION ON ECOLOGICAL ENVIRONMENT AND LIVELIHOOD WELL-BEING SATISFACTION: AN EMPIRICAL ANALYSIS BASED ON HEZE CITY, SHANDONG PROVINCE
Ecological migration constitutes an essential component of China’s ecological civilization construction, aiming to achieve dual goals of ecological restoration and livelihood improvement. Using three counties and seven ecological resettlement communities along the Yellow River in Heze City, Shandong Province as research samples, this study constructs a three-dimensional participation framework of “cognitive–affective–behavioral” engagement. Through reliability and validity tests, correlation analysis, analysis of variance, and multiple regression methods, the study systematically explores the influence mechanism of migrants’ participation on satisfaction with the ecological environment and livelihood well-being. The findings indicate that: (1) Overall, post-relocation migrants report higher satisfaction with the ecological environment than with livelihood well-being, yet exhibit relatively low behavioral participation, revealing a structural pattern of “cognition–affection leading, behavior lagging.” (2) Multidimensional participation significantly enhances both ecological and livelihood satisfaction, among which cognitive participation exerts the strongest direct effect on livelihood well-being satisfaction, while affective and behavioral participation indirectly influence it through improved ecological environment satisfaction. (3) Ecological environment satisfaction plays a partial mediating role in the “participation–well-being” relationship, unveiling the intrinsic coupling mechanism between ecological construction and livelihood improvement. The study concludes that the sustainable development of ecological migration depends not only on material resettlement but also on migrants’ initiative and agency in institutional participation, social identity, and behavioral practice. Strengthening grassroots participatory governance, rebuilding community emotional cohesion, and improving ecological industrial incentive mechanisms are identified as key pathways to achieving synergistic enhancement of ecological protection and livelihood well-being in the Yellow River Basin.
Middle and lower reaches of the Yellow River
Copyright (c) 2025 HaiYing Deng; YaoZhi Gao; Sheng Huang https://creativecommons.org/licenses/by/4.0