Trends in Social Sciences and Humanities Research
type: channel
description: Trends in Social Sciences and Humanities Research (TSSHR) is an international peer-reviewed, open access journal covering social sciences and humanities.
publisher: UPub Science
language: en
publication name: Trends in Social Sciences and Humanities Research
issn: 2959-992X
items: INFLUENCING FACTORS ON COLLEGE STUDENTS' INNOVATIVE LITERACY BASED ON SEM: TAKING PRIVATE UNIVERSITIES IN GUANGDONG PROVINCE AS A CASE STUDY
items: INTEGRATING BOPPPS AND OBE TO FOSTER PRACTICAL AND INNOVATIVE COMPETENCE IN MASTER OF NURSING SPECIALIST STUDENTS: A CASE STUDY OF THE ADVANCED HEALTH ASSESSMENT COURSE
items: THE CURRENT STATUS AND CONSUMER INFLUENCING FACTORS IN JINAN'S TRADITIONAL CLOTHING MARKET
items: EMPOWERING SPORTS SOCIAL WORK: LINGUISTIC INTERVENTION STRATEGIES AND RESOURCE PEDIGREES
items: BUILDING A CLOSED-LOOP FOR CHILD EMOTIONAL INTERVENTION: INTEGRATING OPTICAL SENSING, MOTION CAPTURE, AND MULTIMODAL ANALYSIS
items: SATISFACTION PREDICTION OF URBAN WATERFRONT SPACE LANDSCAPES USING CNNS
items: VISUAL ANALYSIS OF LITERATURE ON CHINA’S PARTICIPATION IN INTERNATIONAL HEALTH COOPERATION BASED ON CITESPACE
items: LIFE WORLD AS A METHOD: CONCEPTUAL INNOVATION IN THE PRACTICE OF SHORT VIDEOS ON TRADITIONAL CHINESE MEDICINE CULTURE FROM THE PERSPECTIVE OF INTERNATIONAL COMMUNICATION
items: TECHNOLOGICAL INNOVATION IN CHINESE OPERA FILMS SINCE THE NEW CENTURY
items: FROM THE SPATIAL TURN TO GEOGRAPHICAL ONTOLOGY: THE DEVELOPMENT OF CHINESE LITERARY GEOGRAPHY
items: CHALLENGES IN TECHNOLOGY INNOVATION-DRIVEN ECONOMIC DEVELOPMENT: VALUE CONFLICTS AND GOVERNANCE COUNTERMEASURES IN THE APPLICATION OF ARTIFICIAL INTELLIGENCE
items: VISUAL ANALYSIS OF RESEARCH ON WEAVING AND EMBROIDERY ART BASED ON KNOWLEDGE MAP
items: THE IMPACT OF “TRADE-IN” POLICIES ON CONSUMERS’ PURCHASE INTENTIONS FOR HOUSEHOLD APPLIANCES: EMPIRICAL EVIDENCE FROM GUANGZHOU RESIDENTS
items: DISCURSIVE CONSTRUCTION OF CHINA’S NEW QUALITY AGRICULTURAL PRODUCTIVITY IN INTERNATIONAL NARRATIVES: A STUDY BASED ON LDA TOPIC MODELING AND CRITICAL DISCOURSE ANALYSIS
items: BRIDGING THE DIGITAL-CULTURAL DIVIDE: DIGITAL LITERACY AND COMMUNICATIVE EMPOWERMENT OF ICH INHERITORS IN CHINA
items: CONSTRUCTION AND APPLICATION OF A THREE-DIMENSIONAL EVALUATION SYSTEM FOR EMPLOYMENT QUALITY OF HIGHER VOCATIONAL GRADUATES: PROFESSIONAL FIT - STAKEHOLDER SATISFACTION - CAREER DEVELOPMENT CAPABILITY
items: THE INNOVATION OF COLLEGE ENGLISH MULTIMODAL TEACHING FROM THE PERSPECTIVE OF ARTIFICIAL INTELLIGENCE LITERACY--AN EMPIRICAL ANALYSIS BASED ON 127 QUESTIONNAIRES
items: EXPLORING THE ASSOCIATION BETWEEN SOCIAL MEDIA USE AND PROSOCIAL BEHAVIOR IN POLICE CADETS
items: THE IMPACT OF GOVERNMENT INNOVATION POLICIES ON CORPORATE INNOVATION BEHAVIOR
items: THE INFLUENCE OF AI-ENABLED SMART COURSES ON THE TEACHING PEDAGOGY IN HIGHER EDUCATION
items: CONSTRUCTION AND PRACTICE OF AN INTEGRATED TALENT TRAINING MODEL IN VOCATIONAL EDUCATION UNDER THE RURAL REVITALIZATION STRATEGY
items: THE APPLICABILITY OF “INVISIBLE DEATH” TO POSTWAR HONG KONG REGION
items: PREDICTING USER ACTIVITY AND INTERACTION SEQUENCES ON SOCIAL PLATFORMS BY INTEGRATING ENSEMBLE LEARNING AND TIME SERIES DECOMPOSITION
items: THE LINMO–CHUANGZUO BIDIRECTIONAL TRANSFORMATION MECHANISM IN CHINESE LANDSCAPE PAINTING
items: DYNAMIC EVALUATION OF OPPORTUNITY INEQUALITY AND POLICY OPTIMIZATION VIA THE HST-GBM MODEL
items: CONSERVATION AND UTILIZATION OF THIRD-LINE INDUSTRIAL HERITAGE: A CASE STUDY OF THE CROW CAVE
items: A CORPUS-BASED ANALYSIS OF GUANGZHOU’S CITY IMAGE IN THE GLOBAL TIMES DURING THE COVID-19 PANDEMIC
items: ENGLISH TRANSLATION AND DISSEMINATION OF GUANGXI CLOTHING CATEGORY INTANGIBLE CULTURAL HERITAGE
items: APPLICATIONS AND ETHICAL CHALLENGES OF ARTIFICIAL INTELLIGENCE IN ACADEMIC RESEARCH
items: AI INTELLIGENT EVALUATION MODEL OF ART DESIGN EDUCATION: TEACHING DIAGNOSIS METHOD BASED ON MULTI-MODAL DATA

INFLUENCING FACTORS ON COLLEGE STUDENTS' INNOVATIVE LITERACY BASED ON SEM: TAKING PRIVATE UNIVERSITIES IN GUANGDONG PROVINCE AS A CASE STUDY
type: item
description: Under the background of the national strategy of innovation-driven development and the deepening advancement of "mass entrepreneurship and innovation" education in higher education institutions, this study focuses on 210 undergraduate students from private universities in Guangdong Province. Based on social cognitive theory and ecological systems theory, a four-dimensional model comprising "individual-teacher-university-national policy" was constructed. Innovative self-efficacy was introduced as a mediating variable, with empirical analysis conducted using SPSS and Amos. Results indicate that university students' innovative awareness, teaching resources, institutional training mechanisms, and national policies all demonstrate significant positive direct correlations with innovative literacy, among which innovative awareness exhibits the strongest association intensity. The four-dimensional factors also show significant positive correlations with innovative self-efficacy, which plays a mediating role in the relationships between these factors and innovative literacy. This study provides an empirical basis for private universities to optimize their innovation education systems.
subject: Articles
  topic: section
subject: Private higher education institutions
  topic: keywords
subject: Innovative literacy of college students
  topic: keywords
subject: Structural equation modeling
  topic: keywords
subject: Innovative self-efficacy
  topic: keywords
creator: RongYu Huang
creator: Pei Wan
rights: Copyright (c) 2026 RongYu Huang; Pei Wan https://creativecommons.org/licenses/by/4.0
date: 2026-03-27
publication date: 2026-03-27
starting page: 17
ending page: 23
doi: 10.61784/tsshr3217

INTEGRATING BOPPPS AND OBE TO FOSTER PRACTICAL AND INNOVATIVE COMPETENCE IN MASTER OF NURSING SPECIALIST STUDENTS: A CASE STUDY OF THE ADVANCED HEALTH ASSESSMENT COURSE
type: item
description: Objective: This study aimed to evaluate the effectiveness of a blended teaching model combining BOPPPS and OBE in enhancing practical competence, clinical reasoning, self-directed learning, and innovative capacity among MNS students in the Advanced Health Assessment course. Methods: This quasi-experimental controlled study was conducted at Youjiang Medical University for Nationalities. Using cluster sampling, 2023 MNS students were assigned to the experimental group (BOPPPS-OBE blended teaching) and 2024 MNS students to the control group (lecture-based teaching). Both groups completed 48 classes of identical content. The primary outcome was practical competence assessed via OSCE. Secondary outcomes included professional knowledge, professional quality, research and innovation, clinical reasoning, practical competence, and practical innovation capability. Outcomes were assessed post-intervention. Data were analyzed using independent t-tests or Mann–Whitney U tests (p<0.05). Results: A total of 110 students were enrolled, with 50 in the experimental group and 60 in the control group. Baseline characteristics were comparable between groups. The experimental group demonstrated significantly higher OSCE scores (mean ± SD: 92.04±3.49 vs. 86.45±5.95, p<0.001). Secondary outcomes also favored the experimental group, including professional knowledge, professional quality, research and innovation, clinical reasoning, practical competence, and practical innovation capability. No adverse events were reported. Conclusion: The BOPPPS-OBE blended teaching model significantly improved practical competence, clinical reasoning, self-directed learning ability, and innovative capacity among MNS students compared to conventional instruction. This integrated approach offers an evidence-based pedagogical strategy for cultivating advanced practice competencies and may inform curricular reforms in graduate nursing education.
subject: Articles
  topic: section
subject: BOPPPS
  topic: keywords
subject: OBE
  topic: keywords
subject: Practical and innovative competence
  topic: keywords
subject: Master of nursing specialist students
  topic: keywords
subject: Advanced health assessment course
  topic: keywords
creator: WenWen Shi
creator: HaiYing Yin
creator: CaiMei Nong
rights: Copyright (c) 2026 WenWen Shi; HaiYing Yin; CaiMei Nong https://creativecommons.org/licenses/by/4.0
date: 2026-03-27
publication date: 2026-03-27
starting page: 11
ending page: 16
doi: 10.61784/tsshr3216

THE CURRENT STATUS AND CONSUMER INFLUENCING FACTORS IN JINAN'S TRADITIONAL CLOTHING MARKET
type: item
description: This study investigates the market status and consumption factors of traditional clothing among residents of Jinan City through a multi-faceted survey and analysis. First, it examines residents' perceptions of traditional clothing and analyzes their purchasing intentions. Second, it profiles consumers to explore satisfaction levels with traditional clothing and uncover the needs of potential consumers. Third, it analyzes residents' purchasing behavior to investigate factors influencing their purchasing intentions and the reasons for these differences. This investigation provides insights into the market status and consumption factors of traditional clothing in Jinan, offering a reference for its development and promotion. The study employed a combination of multistage sampling, PPS sampling, and stratified sampling to obtain the sample. Data underwent reliability, validity, and multiple-choice independence tests, confirming high data quality and overall questionnaire reliability. The collected data underwent multi-dimensional and multi-level analysis. Python web scraping was employed to collect user reviews on traditional apparel from platforms like Taobao and JD.com, revealing public concerns regarding traditional clothing purchases. Cross-analysis examined cognitive and consumption differences among distinct demographic groups. Cluster analysis and grey relational analysis yielded profiles of four distinct consumer segments. Finally, structural equation modeling was applied to investigate factors influencing residents' consumption of traditional apparel.
subject: Articles
  topic: section
subject: Traditional clothing
  topic: keywords
subject: Multistage sampling
  topic: keywords
subject: Cluster analysis
  topic: keywords
subject: Grey correlation analysis
  topic: keywords
subject: Structural equation modeling
  topic: keywords
creator: XinRui Liu
creator: WenXi Zhang
creator: YiXin Liang
creator: HuiZhong Geng
rights: Copyright (c) 2026 XinRui Liu; WenXi Zhang; YiXin Liang; HuiZhong Geng https://creativecommons.org/licenses/by/4.0
date: 2026-03-23
publication date: 2026-03-23
starting page: 1
ending page: 10
doi: 10.61784/tsshr3215

EMPOWERING SPORTS SOCIAL WORK: LINGUISTIC INTERVENTION STRATEGIES AND RESOURCE PEDIGREES
type: item
description: As the "Leading Sports Nation" strategy and the Belt and Road Initiative (BRI) deepen, the scope for sports social work to professionally engage in major foreign-related sports events and international sports assistance is expanding significantly. However, current sports social work professionals frequently face a dual predicament: a scarcity of language tools and a deficit in cross-cultural competence. This dilemma often leads to a "loss of professional voice," thereby severely constraining service efficacy. Grounded in Empowerment Theory, this paper draws on major foreign-related sports events and mountain rescue operations in Guizhou as a contextual blueprint to propose the construction of a language resource pedigree for sports social work. This pedigree encompasses event crisis intervention, bilingual care for special populations, and cross-cultural conflict mediation. Building upon this foundation, the study proposes language intervention strategies from three dimensions—scenario-based simulation, digital tool assistance, and field supervision and feedback—to enhance the international service capacity of sports social workers. Ultimately, these strategies aim to cultivate versatile practitioners equipped with both global perspectives and local action capabilities, thereby advancing the modernization of regional sports governance.
subject: Articles
  topic: section
subject: Sports social work
  topic: keywords
subject: International service capacity
  topic: keywords
subject: Empowerment theory
  topic: keywords
subject: Language intervention
  topic: keywords
subject: Resource pedigree
  topic: keywords
subject: Cross-cultural competence
  topic: keywords
creator: ZiLin Cheng
creator: Tao Luo
rights: Copyright (c) 2026 ZiLin Cheng; Tao Luo https://creativecommons.org/licenses/by/4.0
date: 2026-03-20
publication date: 2026-03-20
starting page: 80
ending page: 84
doi: 10.61784/tsshr3214

BUILDING A CLOSED-LOOP FOR CHILD EMOTIONAL INTERVENTION: INTEGRATING OPTICAL SENSING, MOTION CAPTURE, AND MULTIMODAL ANALYSIS
type: item
description: 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 co…
subject: Articles
  topic: section
subject: Children's emotional management
  topic: keywords
subject: Optical quantum non-contact sensing
  topic: keywords
subject: ToF high-precision motion capture
  topic: keywords
subject: Multimodal motion analysis
  topic: keywords
subject: Closed-loop intervention
  topic: keywords
subject: Intervention for special needs children
  topic: keywords
creator: XiaoQing Wang
rights: Copyright (c) 2026 XiaoQing Wang https://creativecommons.org/licenses/by/4.0
date: 2026-03-06
publication date: 2026-03-06
starting page: 67
ending page: 79
doi: 10.61784/tsshr3213

SATISFACTION PREDICTION OF URBAN WATERFRONT SPACE LANDSCAPES USING CNNS
type: item
description: 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.
subject: Articles
  topic: section
subject: Waterfront space
  topic: keywords
subject: Satisfaction prediction
  topic: keywords
subject: Convolutional neural network
  topic: keywords
subject: Urban planning
  topic: keywords
subject: Ecological environment
  topic: keywords
creator: XiaoYao Liu
rights: Copyright (c) 2026 XiaoYao Liu https://creativecommons.org/licenses/by/4.0
date: 2026-03-06
publication date: 2026-03-06
starting page: 59
ending page: 66
doi: 10.61784/tsshr3212

VISUAL ANALYSIS OF LITERATURE ON CHINA’S PARTICIPATION IN INTERNATIONAL HEALTH COOPERATION BASED ON CITESPACE
type: item
description: 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.
subject: Articles
  topic: section
subject: China's participation in international health cooperation
  topic: keywords
subject: Global health governance
  topic: keywords
subject: CiteSpace
  topic: keywords
creator: YanQi Dong
creator: LiJiang Zhang
rights: Copyright (c) 2026 YanQi Dong; LiJiang Zhang https://creativecommons.org/licenses/by/4.0
date: 2026-03-04
publication date: 2026-03-04
starting page: 46
ending page: 53
doi: 10.61784/tsshr3210

LIFE WORLD AS A METHOD: CONCEPTUAL INNOVATION IN THE PRACTICE OF SHORT VIDEOS ON TRADITIONAL CHINESE MEDICINE CULTURE FROM THE PERSPECTIVE OF INTERNATIONAL COMMUNICATION
type: item
description: 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.
subject: Articles
  topic: section
subject: Life world
  topic: keywords
subject: External communication
  topic: keywords
subject: Traditional Chinese medicine culture
  topic: keywords
subject: Short videos
  topic: keywords
subject: Life-oriented communication
  topic: keywords
subject: Concept innovation
  topic: keywords
creator: YiShu Zhang
rights: Copyright (c) 2026 YiShu Zhang https://creativecommons.org/licenses/by/4.0
date: 2026-03-06
publication date: 2026-03-06
starting page: 54
ending page: 58
doi: 10.61784/tsshr3211

TECHNOLOGICAL INNOVATION IN CHINESE OPERA FILMS SINCE THE NEW CENTURY
type: item
description: 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.
subject: Articles
  topic: section
subject: Opera films
  topic: keywords
subject: Digital technology
  topic: keywords
subject: Technological innovation
  topic: keywords
subject: Innovative development
  topic: keywords
creator: JingRu Wei
rights: Copyright (c) 2025 JingRu Wei https://creativecommons.org/licenses/by/4.0
date: 2025-11-25
publication date: 2025-11-25
starting page: 21
ending page: 29
doi: 10.61784/tsshr3200

FROM THE SPATIAL TURN TO GEOGRAPHICAL ONTOLOGY: THE DEVELOPMENT OF CHINESE LITERARY GEOGRAPHY
type: item
description: 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.
subject: Articles
  topic: section
subject: Chinese Literary Geography
  topic: keywords
subject: Spatial Turn
  topic: keywords
subject: Geographical Ontology
  topic: keywords
subject: Geocriticism
  topic: keywords
subject: Literary Cartography
  topic: keywords
subject: Man-earth relationship
  topic: keywords
creator: Li Gu
rights: Copyright (c) 2025 Li Gu https://creativecommons.org/licenses/by/4.0
date: 2025-12-03
publication date: 2025-12-03
starting page: 30
ending page: 36
doi: 10.61784/tsshr3201

CHALLENGES IN TECHNOLOGY INNOVATION-DRIVEN ECONOMIC DEVELOPMENT: VALUE CONFLICTS AND GOVERNANCE COUNTERMEASURES IN THE APPLICATION OF ARTIFICIAL INTELLIGENCE
type: item
description: 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.
subject: Articles
  topic: section
subject: Technological innovation
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Economic development
  topic: keywords
subject: Value conflicts
  topic: keywords
subject: Governance countermeasures
  topic: keywords
subject: Employment transformation
  topic: keywords
creator: YuHan Xiao
rights: Copyright (c) 2025 YuHan Xiao https://creativecommons.org/licenses/by/4.0
date: 2025-11-24
publication date: 2025-11-24
starting page: 16
ending page: 20
doi: 10.61784/tsshr3199

VISUAL ANALYSIS OF RESEARCH ON WEAVING AND EMBROIDERY ART BASED ON KNOWLEDGE MAP
type: item
description: 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.
subject: Articles
  topic: section
subject: Weaving and embroidery art
  topic: keywords
subject: Visual analysis
  topic: keywords
subject: LDA topic model
  topic: keywords
subject: Topic evolution
  topic: keywords
creator: Qing Miao
rights: Copyright (c) 2026 Qing Miao https://creativecommons.org/licenses/by/4.0
date: 2026-01-04
publication date: 2026-01-04
starting page: 1
ending page: 16
doi: 10.61784/tsshr3205

THE IMPACT OF “TRADE-IN” POLICIES ON CONSUMERS’ PURCHASE INTENTIONS FOR HOUSEHOLD APPLIANCES: EMPIRICAL EVIDENCE FROM GUANGZHOU RESIDENTS
type: item
description: 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.
subject: Articles
  topic: section
subject: Policy instruments
  topic: keywords
subject: Trade-in policy
  topic: keywords
subject: Consumer purchase intention
  topic: keywords
subject: Howard–Sheth model
  topic: keywords
subject: Structural equation modeling
  topic: keywords
creator: ZiXin Fang
creator: KaiQi Liang
creator: ChongHua Zhu
creator: Ting Zhou
rights: Copyright (c) 2026 ZiXin Fang; KaiQi Liang; ChongHua Zhu; Ting Zhou https://creativecommons.org/licenses/by/4.0
date: 2026-02-09
publication date: 2026-02-09
starting page: 17
ending page: 27
doi: 10.61784/tsshr3206

DISCURSIVE CONSTRUCTION OF CHINA’S NEW QUALITY AGRICULTURAL PRODUCTIVITY IN INTERNATIONAL NARRATIVES: A STUDY BASED ON LDA TOPIC MODELING AND CRITICAL DISCOURSE ANALYSIS
type: item
description: 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.
subject: Articles
  topic: section
subject: New quality agricultural productivity
  topic: keywords
subject: Critical discourse analysis
  topic: keywords
subject: LDA topic modeling
  topic: keywords
subject: Agricultural modernization
  topic: keywords
creator: WenJing Shen
creator: TianTianWang
creator: ZiQian Tang
rights: Copyright (c) 2026 WenJing Shen; TianTianWang; ZiQian Tang https://creativecommons.org/licenses/by/4.0
date: 2026-02-09
publication date: 2026-02-09
starting page: 28
ending page: 35
doi: 10.61784/tsshr3207

BRIDGING THE DIGITAL-CULTURAL DIVIDE: DIGITAL LITERACY AND COMMUNICATIVE EMPOWERMENT OF ICH INHERITORS IN CHINA
type: item
description: 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.
subject: Articles
  topic: section
subject: Intangible cultural heritage
  topic: keywords
subject: Digital literacy
  topic: keywords
subject: Cultural communication
  topic: keywords
subject: Digital divide
  topic: keywords
subject: Mediatization
  topic: keywords
subject: China
  topic: keywords
subject: Zhejiang
  topic: keywords
creator: YiWu Zhou
rights: Copyright (c) 2025 YiWu Zhou https://creativecommons.org/licenses/by/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 37
ending page: 40
doi: 10.61784/tsshr3202

CONSTRUCTION AND APPLICATION OF A THREE-DIMENSIONAL EVALUATION SYSTEM FOR EMPLOYMENT QUALITY OF HIGHER VOCATIONAL GRADUATES: PROFESSIONAL FIT - STAKEHOLDER SATISFACTION - CAREER DEVELOPMENT CAPABILITY
type: item
description: 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.
subject: Articles
  topic: section
subject: Higher vocational graduates
  topic: keywords
subject: Employment quality
  topic: keywords
subject: A three-dimensional evaluation system
  topic: keywords
subject: Professional suitability
  topic: keywords
subject: Career development capabilities
  topic: keywords
creator: YuanYu Li
rights: Copyright (c) 2025 YuanYu Li https://creativecommons.org/licenses/by/4.0
date: 2025-11-21
publication date: 2025-11-21
starting page: 9
ending page: 15
doi: 10.61784/tsshr3197

THE INNOVATION OF COLLEGE ENGLISH MULTIMODAL TEACHING FROM THE PERSPECTIVE OF ARTIFICIAL INTELLIGENCE LITERACY--AN EMPIRICAL ANALYSIS BASED ON 127 QUESTIONNAIRES
type: item
description: 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.
subject: Articles
  topic: section
subject: Generative artificial intelligence
  topic: keywords
subject: Artificial intelligence literacy
  topic: keywords
subject: College English teaching
  topic: keywords
subject: Multimodal teaching
  topic: keywords
creator: ZhiYing Li
creator: JianLong Xu
creator: MingRui Ai
creator: Lv Lin
rights: Copyright (c) 2025 ZhiYing Li; JianLong Xu; MingRui Ai; Lv Lin https://creativecommons.org/licenses/by/4.0
date: 2025-11-14
publication date: 2025-11-14
starting page: 54
ending page: 58
doi: 10.61784/tsshr3194

EXPLORING THE ASSOCIATION BETWEEN SOCIAL MEDIA USE AND PROSOCIAL BEHAVIOR IN POLICE CADETS
type: item
description: 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.
subject: Articles
  topic: section
subject: Xuexi Qiangguo
  topic: keywords
subject: Perceived stress
  topic: keywords
subject: Job value
  topic: keywords
subject: Knowledge sharing
  topic: keywords
creator: HuSheng Xu
creator: JiaWen Xu
rights: Copyright (c) 2025 HuSheng Xu; JiaWen Xu https://creativecommons.org/licenses/by/4.0
date: 2025-11-21
publication date: 2025-11-21
starting page: 1
ending page: 8
doi: 10.61784/tsshr3198

THE IMPACT OF GOVERNMENT INNOVATION POLICIES ON CORPORATE INNOVATION BEHAVIOR
type: item
description: 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.
subject: Articles
  topic: section
subject: Innovation policy
  topic: keywords
subject: Innovation behavior
  topic: keywords
subject: Patents
  topic: keywords
creator: QiChang Guo
creator: SiMin Liu
creator: JiaYi Li
creator: Min Liu
rights: Copyright (c) 2026 QiChang Guo; SiMin Liu; JiaYi Li; Min Liu https://creativecommons.org/licenses/by/4.0
date: 2026-02-26
publication date: 2026-02-26
starting page: 42
ending page: 45
doi: 10.61784/tsshr3209

THE INFLUENCE OF AI-ENABLED SMART COURSES ON THE TEACHING PEDAGOGY IN HIGHER EDUCATION
type: item
description: 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.
subject: Articles
  topic: section
subject: AI-enabled smart course
  topic: keywords
subject: English language teaching
  topic: keywords
subject: Higher education
  topic: keywords
subject: Pedagogy
  topic: keywords
subject: AI empowerment
  topic: keywords
creator: LiShan Lv
rights: Copyright (c) 2025 LiShan Lv https://creativecommons.org/licenses/by/4.0
date: 2025-11-14
publication date: 2025-11-14
starting page: 59
ending page: 62
doi: 10.61784/tsshr3195

CONSTRUCTION AND PRACTICE OF AN INTEGRATED TALENT TRAINING MODEL IN VOCATIONAL EDUCATION UNDER THE RURAL REVITALIZATION STRATEGY
type: item
description: 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.
subject: Articles
  topic: section
subject: Vocational education
  topic: keywords
subject: Rural revitalization
  topic: keywords
subject: Integrated training model
  topic: keywords
subject: Industry–education integration
  topic: keywords
subject: Talent cultivation
  topic: keywords
creator: ShiXiong Guo
rights: Copyright (c) 2025 ShiXiong Guo https://creativecommons.org/licenses/by/4.0
date: 2025-11-13
publication date: 2025-11-13
starting page: 43
ending page: 53
doi: 10.61784/tsshr3193

THE APPLICABILITY OF “INVISIBLE DEATH” TO POSTWAR HONG KONG REGION
type: item
description: 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.
subject: Articles
  topic: section
subject: Invisible death
  topic: keywords
subject: Post-war Hong Kong region
  topic: keywords
subject: Visibility of death
  topic: keywords
subject: Cultural system
  topic: keywords
creator: ChengDian Song
rights: Copyright (c) 2025 ChengDian Song https://creativecommons.org/licenses/by/4.0
date: 2025-11-17
publication date: 2025-11-17
starting page: 63
ending page: 67
doi: 10.61784/tsshr3196

PREDICTING USER ACTIVITY AND INTERACTION SEQUENCES ON SOCIAL PLATFORMS BY INTEGRATING ENSEMBLE LEARNING AND TIME SERIES DECOMPOSITION
type: item
description: 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.
subject: Articles
  topic: section
subject: Random forest
  topic: keywords
subject: Facebook prophet
  topic: keywords
subject: User behavior modeling
  topic: keywords
creator: ZhiYang Chen
creator: Wei Ding
creator: GengYan Li
rights: Copyright (c) 2026 ZhiYang Chen; Wei Ding; GengYan Li https://creativecommons.org/licenses/by/4.0
date: 2026-02-11
publication date: 2026-02-11
starting page: 36
ending page: 41
doi: 10.61784/tsshr3208

THE LINMO–CHUANGZUO BIDIRECTIONAL TRANSFORMATION MECHANISM IN CHINESE LANDSCAPE PAINTING
type: item
description: 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.
subject: Articles
  topic: section
subject: Bidirectional transformation between copying ( linmo ) and creation ( chuangzuo )
  topic: keywords
subject: Double-Loop
  topic: keywords
subject: Four-Stage (DLFS) model
  topic: keywords
subject: Canon–nature cross-validation
  topic: keywords
subject: Three-distances spatial analysis
  topic: keywords
subject: poetic scene-making
  topic: keywords
creator: ChangPu Wu
rights: Copyright (c) 2025 ChangPu Wu https://creativecommons.org/licenses/by/4.0
date: 2025-10-24
publication date: 2025-10-24
starting page: 46
ending page: 52
doi: 10.61784/tsshr3182

DYNAMIC EVALUATION OF OPPORTUNITY INEQUALITY AND POLICY OPTIMIZATION VIA THE HST-GBM MODEL
type: item
description: 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.
subject: Articles
  topic: section
subject: Inequality of opportunity
  topic: keywords
subject: Common prosperity
  topic: keywords
subject: LSTM
  topic: keywords
subject: XGBoost
  topic: keywords
subject: HST-GBM
  topic: keywords
creator: Han Wu
creator: RuoShi Wang
creator: YuQi He
rights: Copyright (c) 2025 Han Wu; RuoShi Wang; YuQi He https://creativecommons.org/licenses/by/4.0
date: 2025-10-20
publication date: 2025-10-20
starting page: 40
ending page: 45
doi: 10.61784/tsshr3181

CONSERVATION AND UTILIZATION OF THIRD-LINE INDUSTRIAL HERITAGE: A CASE STUDY OF THE CROW CAVE
type: item
description: 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.
subject: Articles
  topic: section
subject: Third-line construction
  topic: keywords
subject: Industrial heritage
  topic: keywords
subject: Musealization
  topic: keywords
subject: Crow cave
  topic: keywords
subject: Aero-engine
  topic: keywords
creator: XinMing Wang
rights: Copyright (c) 2025 XinMing Wang https://creativecommons.org/licenses/by/4.0
date: 2025-11-04
publication date: 2025-11-04
starting page: 34
ending page: 38
doi: 10.61784/tsshr3190

A CORPUS-BASED ANALYSIS OF GUANGZHOU’S CITY IMAGE IN THE GLOBAL TIMES DURING THE COVID-19 PANDEMIC
type: item
description: 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 …
subject: Articles
  topic: section
subject: Covid-19 pandemic
  topic: keywords
subject: Global Times
  topic: keywords
subject: Guangzhou
  topic: keywords
subject: City image
  topic: keywords
creator: ZiHan Zhao
creator: Fei Deng
rights: Copyright (c) 2025 ZiHan Zhao; Fei Deng https://creativecommons.org/licenses/by/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 6
ending page: 23
doi: 10.61784/tsshr3188

ENGLISH TRANSLATION AND DISSEMINATION OF GUANGXI CLOTHING CATEGORY INTANGIBLE CULTURAL HERITAGE
type: item
description: 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.
subject: Articles
  topic: section
subject: Guangxi
  topic: keywords
subject: Clothing
  topic: keywords
subject: Intangible cultural heritage
  topic: keywords
subject: English translation
  topic: keywords
subject: Regional image
  topic: keywords
subject: Communication
  topic: keywords
creator: JinSheng Wang
rights: Copyright (c) 2025 JinSheng Wang https://creativecommons.org/licenses/by/4.0
date: 2025-10-29
publication date: 2025-10-29
starting page: 1
ending page: 5
doi: 10.61784/tsshr3187

APPLICATIONS AND ETHICAL CHALLENGES OF ARTIFICIAL INTELLIGENCE IN ACADEMIC RESEARCH
type: item
description: 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.
subject: Articles
  topic: section
subject: Artificial intelligence
  topic: keywords
subject: Ethical challenges
  topic: keywords
subject: Academic research
  topic: keywords
subject: Responsible AI
  topic: keywords
creator: LiWei Xue
rights: Copyright (c) 2025 LiWei Xue https://creativecommons.org/licenses/by/4.0
date: 2025-11-11
publication date: 2025-11-11
starting page: 39
ending page: 42
doi: 10.61784/tsshr3192

AI INTELLIGENT EVALUATION MODEL OF ART DESIGN EDUCATION: TEACHING DIAGNOSIS METHOD BASED ON MULTI-MODAL DATA
type: item
description: 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.
subject: Articles
  topic: section
subject: Art design education
  topic: keywords
subject: AI intelligent evaluation
  topic: keywords
subject: Multimodal data
  topic: keywords
subject: Teaching diagnosis
  topic: keywords
subject: Education artificial intelligence
  topic: keywords
creator: Cheng Huang
rights: Copyright (c) 2025 Cheng Huang https://creativecommons.org/licenses/by/4.0
date: 2025-11-04
publication date: 2025-11-04
starting page: 30
ending page: 33
doi: 10.61784/tsshr3191