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.
THEORETICAL DISCUSSION ON EYE MOVEMENT DIFFERENCES IN SERVICE ANTICIPATION OF COLLEGE TABLE TENNIS PLAYERS UNDER DIFFERENT EMOTIONS
Table tennis demands rapid visual processing and precise predictive judgment, where emotional fluctuations significantly interfere with cognitive processes such as attention allocation and information extraction. College table tennis athletes, as a key transitional group, exhibit distinct eye movement patterns in service anticipation under different emotional states. This study adopts a theoretical analysis method to systematically explore the eye movement differences and internal cognitive mechanisms of college table tennis players during service anticipation under positive and negative emotions, and further reveals the chain interaction relationship among emotion, eye movement and service anticipation. The results show that positive emotions promote efficient visual search characterized by concentrated fixation and reasonable saccade, improving anticipation accuracy; negative emotions trigger conservative search strategies with scattered attention and prolonged processing time, reducing anticipation efficiency. Athletic experience and mental skills play a moderating role in the emotion-anticipation relationship, and college athletes are more vulnerable to negative emotional interference. In conclusion, emotions reshape eye movement features to determine the quality of service information sampling, forming a chain mediation effect. Targeted emotional regulation and visual search training can effectively optimize college athletes’ service anticipation performance.
Copyright (c) 2026 YunFei Liu; Zhen Guo https://creativecommons.org/licenses/by/4.0
“BETWEEN ELEGANCE AND EARTHINESS”: ON THE WRITING AESTHETICS OF ACADEMIC AND FOLK LITERATURE
Since the beginning of the twenty-first century, contemporary Chinese literature has gradually developed two representative writing orientations: academic writing and folk writing. These two literary approaches demonstrate significant differences in language style, narrative strategy, thematic sources, and aesthetic orientation, yet they share profound commonalities in their commitment to realism, humanistic concern, and reflection on social transformation. Yuan Ping's Xiao Shijing can be regarded as a representative example of academic writing, characterized by intellectual refinement, cultural literacy, and structural sophistication, while Zhu Renfeng's Jinshui Hujia exemplifies folk-oriented rural writing rooted in lived experience, colloquial realism, and emotional immediacy. By taking these two works as comparative case studies, this paper examines their differences in writing techniques from four perspectives: language expression, narrative strategy, material selection, and aesthetic orientation. It further argues that despite stylistic divergence, both writing traditions converge in their literary spirit through shared realism, concern for human complexity, and sensitivity to the transformations of contemporary Chinese society. This comparative study contributes to a deeper understanding of the coexistence, interaction, and potential mutual enrichment between elite literary writing and folk narrative traditions in contemporary Chinese literature.
Copyright (c) 2026 WenPing Li https://creativecommons.org/licenses/by/4.0
PREDICTING ADOLESCENT SPORTS PARTICIPATION BEHAVIOR AND IDENTIFYING AT-RISK GROUPS
Adolescence is a critical stage for the formation of sports-related behaviors and healthy lifestyles. The level of sports participation during this period is closely associated not only with physical health, but also with psychological development and social adaptation. However, insufficient sports participation remains a widespread issue among adolescents, with substantial disparities across different subgroups. Against this background, this study develops a multidimensional analytical framework for predicting adolescent sports participation behavior and identifying at-risk groups from the perspectives of individual, family, school, and social-environmental factors. The study aims to reveal the key determinants of sports participation and to identify adolescents who are at heightened risk of insufficient participation. Using questionnaire survey data collected from adolescent students, this study employs descriptive statistics, regression analysis, and risk identification methods to examine the overall characteristics, key predictors, and high-risk groups of adolescent sports participation. The findings indicate that adolescent sports participation shows clear subgroup differences, with gender, school stage, and family support being closely associated with participation outcomes. Further analysis demonstrates that exercise interest, self-efficacy, parental support, and school sports opportunities are important positive predictors of sports participation, whereas academic pressure, excessive screen time, and insufficient support conditions constrain participation to varying degrees. In addition, girls, students in higher school stages, and adolescents with relatively weak family and school support are more likely to be identified as high-risk groups for insufficient sports participation. The study argues that adolescent sports participation is not shaped by a single factor, but rather by the joint influence of multiple dimensions. Efforts to promote adolescent sports participation should therefore move beyond general advocacy and place greater emphasis on targeted intervention based on risk identification. The findings contribute to a deeper understanding of the mechanisms underlying adolescent sports participation and provide empirical implications for school-based sports promotion, family support strategies, and related policy development.
Copyright (c) 2026 MingYang Chen; DingRui Dai; QingXu Guo https://creativecommons.org/licenses/by/4.0
REFORMING THE TRAINING MODE OF THE “PRINCIPLES OF COMPUTER ORGANISATION” COURSE THROUGH MULTIPLE MEASURES
With the goal of building a high-quality “Computer Organization” course, the course team has adopted multiple approaches to enhance teachers’ ability to teach and educate students, and to reform the talent cultivation model. These approaches include improving teachers’ professional competence, promoting engineering education accreditation, adopting a research‑oriented teaching model, fostering students’ system development ability, designing innovative experiments, implementing online and offline blended teaching, integrating ideological and political education into the classroom, and reforming assessment methods. This paper describes in detail the implementation process and our reflections on these approaches, and shares them with fellow educators, in the hope of further improving course development and benefiting more students.
Copyright (c) 2026 DuanLi Yang; Yan Zhang; YuanLi Wang https://creativecommons.org/licenses/by/4.0
EVALUATION AND EARLY WARNING OF GOVERNMENT NEW MEDIA INFORMATION DISSEMINATION EFFECTIVENESS IN PUBLIC EMERGENCIES
This study focuses on evaluating and early warning the effectiveness of information dissemination by government new media during public emergencies. Based on a literature review, it defines the concept of dissemination effectiveness and constructs a four-dimensional analytical framework, including timeliness, content quality, interactive responsiveness, and communication guidance. An evaluation index system is developed to measure performance across different stages using normalized data, and a composite index is further constructed for dynamic early warning analysis. The results show significant stage-based differences and fluctuations in dissemination effectiveness. In the initial stage, timeliness is the main strength, while interaction and guidance are relatively weak. As events evolve, content quality, responsiveness, and guidance improve, and the composite index exhibits a pattern of initial decline followed by recovery. Early warning analysis indicates that major risks stem from insufficient follow-up updates, limited explanatory capacity, delayed responses, and low sensitivity to public opinion changes. This study provides theoretical and practical insights for optimizing government information release and improving emergency communication systems.
Copyright (c) 2026 ZhenLei Zhang https://creativecommons.org/licenses/by/4.0
EXPLORING THE IMPACT OF AI TOOLS OF XIAOHONGSHU IN DEVELOPING CREDIBLE CONTENTS SHARING BEHAVIOR AMONG CHINESE POPULATION
With the rapid development of artificial intelligence (AI) technology, social media platforms are increasingly reliant on AI tools in content creation, recommendation, and sharing. This study uses Xiaohongshu, a representative social e-commerce platform in China, as a case study to explore the role and impact of AI tools in promoting users' credible content sharing behavior. The research focuses on how AI-driven technologies such as natural language processing, machine learning, sentiment analysis, and banned word detection enhance content authenticity and user trust, and analyzes their effectiveness in addressing issues such as fake reviews, algorithmic bias, and information opacity. Considering China's unique cultural background, user characteristics (primarily Millennials and Generation Z), and government regulatory policies, this study systematically examines the influence mechanisms of variables such as users' perceived credibility of AI tools, media effectiveness, and socio-cultural factors on content sharing behavior. By addressing six research questions and six research objectives, this paper aims to reveal the potential and challenges of AI tools in building a credible content ecosystem, providing theoretical and practical references for platform governance, AI ethical design, and digital trust construction.
Copyright (c) 2026 YanHan Xiao https://creativecommons.org/licenses/by/4.0
PATHWAYS FOR VALUE REALIZATION OF AGROECOLOGICAL PRODUCTS IN GUANGDONG PROVINCE
This study investigates market-oriented approaches for the value realization of agroecological products in Guangdong Province, China. It analyzes the core concepts of agroecological products and their marketization pathways, examines the current development status and challenges faced by such products in Guangdong, and focuses on key strategies, including industrialization, channel development, marketing and promotion, regional brand building, and industrial chain extension. Corresponding safeguard mechanisms are also proposed to support these initiatives.
Copyright (c) 2026 XiaoPing Tan; ZhengYuan Huang; YuXin Liu; TingFei Xu; JinChen Pan https://creativecommons.org/licenses/by/4.0
THE ALIENATION OF BUSINESS ETHICS IN THE AGE OF ALGORITHMS: THE CASE OF BYTEDANCE’S AI RECRUITMENT SYSTEM
Amid the digital wave driven by the pursuit of extreme efficiency, ByteDance has achieved millisecond-level responses in human resources screening through its proprietary AI recruitment system; however, this has also triggered a profound crisis in business ethics. This study focuses on the operational mechanisms and controversies surrounding this system, conducting a penetrating analysis through a three-dimensional framework of “Justice-Dignity-Responsibility”. The research finds that, while the system’s core logic of “fitting historical optimality” has reduced recruitment costs, it has, at the technical level, solidified and amplified historical biases regarding dimensions such as educational background and region, thereby deviating from Rawls’s “Principle of Difference”. In terms of dignity, the system reduces job seekers to feature vectors, and its panopticon-style surveillance and evaluation trigger widespread “surveillance anxiety”, leading to the dissolution of job seekers’ agency. Regarding responsibility, the coupling of organizational incentive mechanisms with algorithmic black boxes causes a systemic breakdown in the chain of accountability, creating a vacuum where “no one is held responsible”. This study reveals the deep-seated paradox of ethical compromise under efficiency-driven systems and argues that algorithmic governance must urgently shift from purely commercial logic toward a sustainable balance between efficiency and justice.
Copyright (c) 2026 YiHan Ma https://creativecommons.org/licenses/by/4.0
"LIGHT OF LOGIC" AI-MATHEMATICS INTEGRATED TRAINING SYSTEM: A STUDY ON STRENGTHENING SPECIAL CHILDREN'S THINKING AND COGNITION BASED ON ALGORITHMIC ART INTERVENTION
For children with special difficulties in thinking and cognition, traditional intervention methods are often single-dimensional. This project attempts to break disciplinary boundaries and creatively integrate Luban fasteners, a traditional Chinese educational toy, with AI-assisted voice dialogue, painting, clay modeling and other visual arts to form a three-dimensional integrated intervention training program of "traditional educational tools - intelligent interactive technology - expressive art therapy". The project was carried out in a local children's welfare institute with 12 special children for a 4-week training period. Through pre-post comparison and process observation, it was found that compared with peers who only watched animations and played freely, children who received the integrated training had better attention span, work organization and basic logical thinking. We found that mathematical games act as a solid framework for thinking, AI dialogue serves as a patient thinking navigator, and artistic creation becomes a "safe outlet" for emotions and ideas - the three are not simply superimposed, but promote each other, producing an effect of 1+1+1>3.
Copyright (c) 2026 AiAi Chen; XuNan Zhang; YanXin Yin https://creativecommons.org/licenses/by/4.0
FROM CEREMONY TO CAMPUS SPORTS: IDENTITY RECONSTRUCTION OF THE YI FUNERAL DANCE KAHONGBEI RESEARCH ON THE INHERITANCE PATH OF COLLEGES AND UNIVERSITIES
This paper takes the Yi funeral ritual dance "Kahongbei" as the research object. Through literature review, participant observation, and anaf the action recordings of Kahongbei, this study investigates the feasibility of its transmission within the context of university physical education. The research reveals that the 25 traditional dance segmenof Kahongbei embody cultural connotations related to Yi hunting, farming, communal cooperation, and expressions of life and death. However, current social transmission faces challenges such as the dissolution of rital contexts, weakening of kinship bonds, and generational disconnection in family transmission, as well as structural deficiencies in educational ecosystems and curriculum systems within school transmission. The study proposes establishing an ticity-based action preservation database, enhancing the cultural symbol translation and sports-oriented deconstruction of Kahongbei, promoting university pilot programs and tiered teaching, and strengthening faculty development and professional capacty building. These measures aim to facilitate the transition of the Yi traditional dance Kahongbei from a funeral ritual to a campus sports activity, providing a theoretical foundation of "action-coure-education" trinity for the living transmission of ethnic traditional sports dances.
Copyright (c) 2026 FengYing Long https://creativecommons.org/licenses/by/4.0
WHY THE SILENCE? MULTIDIMENSIONAL BARRIERS AND AN INTEGRATED EXPLANATION FOR THE AVOIDANCE OF OFFLINE PROFESSIONAL HELP AMONG INDIVIDUALS WITH DEPRESSION: A NARRATIVE REVIEW
Many individuals with depression who need treatment do not seek professional help. This paper systematically reviews the main barriers to offline help-seeking among people with depression through a literature review and provides an integrated analysis from the perspectives of individual psychology, cognition, structural factors, sociocultural context, and digital environment. The findings show that stigma, fear of seeking help, structural barriers, cognitive biases, personality traits, and the substitution effect of the digital environment interact to create a complex, layered barrier to help-seeking. Although existing interventions can help improve help-seeking intentions, they often fail to convert these intentions into actual help-seeking behavior, revealing an “intention-behavior gap.” This paper also proposes an integrated explanatory framework and offers implications for digital mental health services and science communication.
Copyright (c) 2026 ZiXuan Chen; HongWu Yang https://creativecommons.org/licenses/by/4.0
THE ENLIGHTENMENT OF THE“THREE TALENTS ”SYSTEMIC THINKING OF THE YIJING ON CORPORATE SUSTAINABLE DEVELOPMENT STRATEGIES
In the face of the global environmental crisis and the structural dilemma of the dislocation of short-term interests and long-term risks in the transformation of enterprises, this paper introduces the systematic thinking of " YiJing " and " San Cai " ( heaven, earth and human ), and constructs a new paradigm of sustainable development of enterprises suitable for the VUCA era. The article first explains the philosophical connotation of "San cai" as a dynamic ontology:" Tian" corresponds to the macro trend and strategic positioning, emphasizing the adaptation to the current situation and periodic rhythm; with "land" corresponding to resource endowment and green operation, it advocates local conditions and full life cycle management ; with" people" corresponding stakeholders and value co-creation, ethical governance and harmonious symbiosis are advocated. On this basis, this paper deeply analyzes the systematic coordination mechanism of the " three talents " dimension, and puts forward that enterprises need to shift from passive compliance to active guidance, and realize the unity of economic and social ecological benefits by reconstructing the dynamic resonance of strategy, resources and people. The research shows that the integration of oriental holism wisdom and modern management science not only makes up for the shortcomings of the western reductionism framework in dealing with complex adaptive systems, but also provides theoretical guidance and practical path with cultural embeddedness and global competitiveness for enterprises to realize the transition from " survival" to " symbiosis" under the dual carbon goal.
Copyright (c) 2026 Peng Du https://creativecommons.org/licenses/by/4.0
THE EMOTIONAL CHARACTERISTICS AND EVOLUTIONARY TRENDS OF CHINESE NEWS HEADLINES: A DIACHRONIC ANALYSIS BASED ON THE PAPER
This study investigates the emotional distribution, section-specific characteristics, and evolutionary trends of news headlines from The Paper (2019.3–2025.3) using text mining and sentiment analysis. Results show that the headlines exhibit distinct emotional traits: neutrality as the core, a slight predominance of positivity, and concentrated negativity, with rationally controlled emotional intensity. Significant differences exist across sections: Current Affairs is neutral-dominant with mild positivity, Social News features diverse emotions with the highest negative proportion, Technology is predominantly positive, and Entertainment is positive-led with varied moods. Temporally, the emotional orientation presents "long-term stability with periodic fluctuations," influenced by major events and policy cycles. This research provides empirical insights for emotional headline operation in new media and enriches case studies of Chinese news short text sentiment analysis.
Copyright (c) 2026 ChiYuan Ma https://creativecommons.org/licenses/by/4.0
INFLUENCING FACTORS ON COLLEGE STUDENTS' INNOVATIVE LITERACY BASED ON SEM: TAKING PRIVATE UNIVERSITIES IN GUANGDONG PROVINCE AS A CASE STUDY
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.
Copyright (c) 2026 RongYu Huang; Pei Wan https://creativecommons.org/licenses/by/4.0
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
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.
Copyright (c) 2026 WenWen Shi; HaiYing Yin; CaiMei Nong https://creativecommons.org/licenses/by/4.0
THE CURRENT STATUS AND CONSUMER INFLUENCING FACTORS IN JINAN'S TRADITIONAL CLOTHING MARKET
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.
Copyright (c) 2026 XinRui Liu; WenXi Zhang; YiXin Liang; HuiZhong Geng https://creativecommons.org/licenses/by/4.0
EMPOWERING SPORTS SOCIAL WORK: LINGUISTIC INTERVENTION STRATEGIES AND RESOURCE PEDIGREES
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.
Copyright (c) 2026 ZiLin Cheng; Tao Luo 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
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
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
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
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
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 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
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
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
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
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
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 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