Journal of Criminal Investigation and Criminology
The first issue of the journal was published in 1950 under the title of Criminal Investigation Service. In 1959, the journal was renamed into the Journal of Criminal Investigation and Criminology. It has been the leading Slovenian professional scientific journal covering the areas of criminology and criminal investigation and related scientific disciplines (criminal law, victimology, penology, etc.).
Republiski sekretariat za notranje zadeve SR Slovenije
Beyond Digital Boundaries: Embodied Experience and Narrative Practice in the Exhibition Spaces of M+ Museum, Hong Kong
Although contemporary museums are increasingly incorporating digital technologies in exhibition design, there is mounting evidence that visitors would like to engage in ways that transcend what screens and interfaces can achieve. This study investigates the relationship between digital mediation and bodily experience in the exhibition rooms of M+ Museum, Hong Kong, Asia’s first global museum of modern visual culture. The study draws on Merleau-Ponty's phenomenology of embodiment and de Certeau's theory of spatial narrative practice to analyse qualitative data collected through ethnographic observation, semi-structured visitor interviews (N = 24) and spatial analysis of M+'s permanent and temporary exhibition design. The three main findings are: (1) Visitors actively negotiate digital and physical thresholds, selectively disengaging from screen-mediated content when bodily presence offers a more immediate aesthetic access; (2) Narrative coherence in the exhibition design of M+ is critically dependent on material and spatial anchors and not digital continuity; and (3) Visitors act as co-authors of exhibition meaning through embodied movement and selective attention. The findings show that the embodied character of the museum experience is a kind of resistance to digital saturation and that narrative practice—understood as the active spatial tale visitors build via movement—should be considered a core design concept. The paper contributes to museum studies, exhibition design theory and digital heritage scholarship by recentring embodied experience as the irreducible basis of meaningful museum engagement.
embodied experience; narrative practice; M+ Museum; Hong Kong; exhibition design; digital mediation; museum studies
Copyright (c) 2026 Journal of Criminal Investigation and Criminology
Supply-Demand Imbalance Mechanisms in the Talent Market Driven by Consumption Upgrading and Industrial Upgrading
Under the promotion of economic reform, demographic change and adjustment of industrial structure over recent years have also significantly affected China's labour market structure. Examines China's talent market supply-demand imbalance mechanisms at present, focusing on two sources of increased demands from consumers and industry upgrades separately. Based on the dual labour market theory, this paper puts forward a "Double-upgraded talent mismatch transmission model", which shows that the two forces together cause structural talent imbalances through three channels of quantity mismatch, quality mismatch and spatial mismatch. After updating in 2024, it is found that the imbalance has become more pronounced; The rise of the digital economy, advanced manufacturing and services creates a shortage of talents for which no education and training system can meet. Based on this, some policy directions for guiding the development of talents are proposed according to changes in China's economy and society.
Dual Labour Market; Structural Imbalance; Consumption Upgrade; Industrial Upgrading; Hukou System
Driving factors of residents' participation in air pollution prevention and control under air quality improvement policies
The effectiveness of air quality improvement policies is influenced by residents' willingness to participate. Therefore, this study collected 322 valid samples using a questionnaire survey. Through empirical analysis, it explores how residents' psychological perceptions regarding the detrimental effects of air pollution influence their readiness to engage in pollution prevention and control efforts. The findings demonstrate that the influence coefficients of probabilistic distance (0.583), spatial distance (0.461), social distance (0.327), and temporal distance (0.094) are significant. The findings demonstrate that all factors related to psychological distance significantly and positively influence residents' willingness to participate, with probabilistic distance having the strongest effect and temporal distance the weakest. This study confirms that psychological distance is an important factor driving residents' participation in air pollution prevention and control, thus providing a reference for public communication strategies in environmental policy formulation.
air quality improvement policies; pollution prevention and control; social psychology; willingness to participate
Adaptive feature fusion-based speaker recognition strategy for disguised speech speakers
Automatic speaker authentication systems face the threat of disguised speech attacks, especially those generated by speech conversion and speech synthesis techniques, which pose a greater risk to the system and require the development of efficient recognition strategies. This study proposes an adaptive feature fusion-based speaker recognition strategy for disguised speech, which improves the system's ability to detect disguised speech by combining resonance peaks and GFCC feature parameters. The method adopts the inverse spectral method to extract the resonance peak coefficients and combines the GFCC parameter extraction technique, fuses the two features by adaptive weighting, and finally uses a Gaussian mixture model to classify the authentic and fake speech. The experimental results show that in the evaluation set, the average t-DCF of the proposed fusion feature method is only 0.058, which is significantly better than that of the method using the resonance peak feature (0.131) and the GFCC feature (0.086) alone; in the white noise environment (SNR=20dB), the average equal error rate of the fusion feature method is 11.01%, which is 8.66% lower than that of using the resonance peak feature and GFCC feature alone features by 8.66% and 5.57%, respectively. It is shown that the proposed adaptive feature fusion strategy can effectively improve the performance of the camouflaged speech speaker recognition system, especially in noisy environments, which exhibits stronger robustness
Camouflaged speech; Speaker recognition; Adaptive feature fusion; Resonance peak; GFCC; Anti-spoofing detection
Sexual Orientation Through an Intersectional Lens：Multiple Oppressions, Identity Construction, and Psychological Well-being
This paper examines sexual orientation through the lens of intersectionality theory, emphasizing it as a complex construct shaped by emotional, romantic, and sexual attraction within systems of power, and highlighting its implications for mental health under conditions of structural inequality. Intersectionality, originally formulated by Crenshaw, this study aims to analyze how overlapping identities—such as race, gender, class, and sexual orientation—interact to produce distinctive patterns of oppression and privilege, and how these patterns can translate into psychological stress and distress. Using qualitative case-based methods, this paper examines cases of Black lesbian women in South Africa, who face extreme, compounded violence such as “corrective rape” due to interlocking racism, patriarchy, class inequality, and homophobia, despite legal protections. It also examines asexual youth, showing that identity disclosure can intensify discrimination and generate psychological distress, as sexual orientation intersects with gender identity in everyday social settings.
Sexual orientation, intersectionality, multiple oppression, identity, marginalization, mental health
The Impact of Inter-Period Business Behavior Correlation on the Externalization of Financial Risk in Listed Companies
In order to describe the relationship between behavior and risk diffusion, this paper firstly integrates the intertemporal operational behavior characteristics into a time-varying parameter VAR (TVP-VAR) framework, and then builds a behavior linkage network. Through the integration of multi-period financial variables and high frequency market data, the model is able to quantitatively identify the risk transfer. Findings indicate that the inclusion of intertemporal operational behavior increases the systemic spillover index by an average of 18.6%. The risk input intensity of a company in a highly linked sample is 27.3% higher than that in a low-linkage sample, and the accuracy of model identification is improved by about 21%. This demonstrates that intertemporal operational behavior significantly amplifies risk diffusion.
Intertemporal business behavior; Financial risk spillover; Behavioral association network; Time-varying parameter VAR; Listed companies
From Stigmatizing Exclusion to Conditional Reintegration: Rights Protection, Social Risk, and Governance Balance in the Administrative Offense Record Sealing System — A Normative Analysis of Article 136 of the Newly Revised Law on Penalties for Administration of Public Security
A structural tension arises between the state’s interest in combating unlawful and criminal conduct in pursuit of social justice and the imperative to prevent a single violation from resulting in lifelong exclusion. The Administrative Offense Record Sealing mechanism established under Article 136 of the newly revised Law on Penalties for Administration of Public Security stands at the center of this tension. This article argues that the system does not represent a weakening of anti-drug enforcement. Rather, it reflects a shift in governance from a purely punitive model toward a more integrated approach to correction and rehabilitation, and from stigmatizing exclusion to conditional reintegration. In this sense, the reform embodies a deepening commitment to rule-of-law governance. At its core, it seeks to strike a cautious balance between the protection of fundamental rights and the safeguarding of the public interest. Methodologically, this article combines normative analysis, comparative inquiry, and case-based examination. It develops a coherent analytical framework that clarifies the institutional foundations of the system, articulates its rights-protective rationale, and evaluates its potential social risks, thereby offering a multidimensional and nuanced account of this complex reform.
Administrative Offense Record Sealing; Equal Employment Rights; Rule-of-Law Governance; Social Risk
Research on the evaluation of senior management ability of enterprises based on Capability Maturity Model and analytic hierarchy process - Taking benchmarking enterprises in household appliances industry as an example
driven by the reconstruction of the global industrial chain and the upgrading of consumer demand, the household appliances industry is shifting from scale competition to value competition, and the top management ability of enterprises has become a key variable to determine the core competitiveness and sustainable development of enterprises. This paper innovatively introduces Addie theory into the field of top-level management capability evaluation, constructs the whole process research framework of "analysis design development implementation evaluation", divides the maturity level of top-level management capability with capability maturity model (CBM), and establishes a multi-dimensional evaluation index system with analytic hierarchy process (AHP). Five benchmarking enterprises in the household appliances industry, including Midea Group, Haier Zhijia, Gree Electric appliances, Hisense video and SUPOR, are selected as the research objects. Through multi channel data collection and empirical analysis, the maturity level of senior management ability of each enterprise is systematically evaluated. The results show that the high-level management ability of benchmarking enterprises in the household appliances industry shows the characteristics of gradient distribution, and strategic management and innovation and development ability are the core dimensions affecting the maturity of enterprises. The evaluation system constructed in this paper provides a theoretical basis and practical tools for the quantitative evaluation, short board identification and continuous optimization of senior management capabilities of household appliances industry and manufacturing enterprises.
top management ability; Capability maturity model; Analytic hierarchy process; Addie theory; Household appliances
Research on Risk Identification and Early Warning Models for Fintech Crimes Based on Big Data Analysis
In response to the diverse evolution of fintech crimes—manifesting in behavioral pathways, identity spoofing, and cross-platform attacks—this study investigates a multi-stage risk identification and early warning model integrating big data analytics. The model achieves hierarchical identification of anomalous accounts through structural feature screening, deep modeling of temporal behaviors, and a Stacking ensemble strategy. It further incorporates a dynamic threshold mechanism and an online self-learning module to enhance adaptability. A testing platform under real business conditions was constructed. Comparisons with models such as GBDT, BiLSTM, and Transformer showed that the proposed model achieved an AUC of 0.941 and an F1-score of 0.893, with a significantly lower standard deviation than other methods, demonstrating strong stability and robustness.
Fintech crime; Big data analysis; Risk identification; Ensemble model; Dynamic early warning
From Patriarchal Discipline to Rebellious Narrative: Classification and Cultural Context of Female Images in East Asian Crime Films
This study uses East Asian crime movies as the overall context, selects China and South Korea as representative samples, and explores the narrative position and agency of women under patriarchal discipline. This study constructs a "female initiative spectrum" framework, dividing female images into "The mute", "restricted agents", and "rebels" to reveal the different ways in which agency unfolds in narratives. The study found that Korean crime movies more frequently show women's dramatic transition from passivity to rebellion. Most women in Chinese films are stuck in the middle of the spectrum, and their actions are constrained by law, ethics, and realist narratives. This difference reflects the diversity of cultural structures and gender power configurations within East Asia. This study hopes to provide an effective analytical path for understanding female agency in regional films.
East Asian crime movies; Female initiative; Patriarchal discipline; Role spectrum; Cultural context
Artificial Intelligence and the Future of Library Services in China: Opportunities, Challenges, and Policy Directions
This study investigates the evolving role of artificial intelligence (AI) in library services in China and globally, with a particular focus on opportunities, challenges, and policy directions within the framework of the United Nations Sustainable Development Goals (SDGs). Using a systematic literature review and comparative temporal analysis of peer-reviewed studies, policy documents, and institutional reports from 2019 to 2025, the research disaggregates AI adoption into four distinct phases: Pre-Pandemic Foundation (2019), Emergency Acceleration (2020-2021), Generative AI Disruption (2022-2023), and Strategic Integration (2024-2025). The findings demonstrate that AI-driven applications-such as automated cataloging, intelligent chatbots, predictive analytics, and smart library infrastructures have significantly enhanced service efficiency, knowledge accessibility, and operational sustainability, particularly supporting SDGs 4 (Quality Education), 8 (Decent Work and Economic Growth), and 9 (Industry, Innovation, and Infrastructure). However, the analysis also reveals persistent challenges, including algorithmic bias, data governance tensions, workforce transformation, environmental costs of large-scale AI systems, and uneven progress across SDGs. Comparative evidence indicates that China’s state-led model enables rapid infrastructure deployment and technological scaling, while many Western countries prioritize ethical governance, inclusivity, and environmental accountability, often at the expense of implementation speed. By synthesizing these divergent approaches, the study proposes an SDG-aligned policy framework emphasizing multilevel governance, ethical safeguards, capacity building, and sustainable AI practices. The research contributes to theory by integrating AI-enabled library transformation with sustainable development scholarship and offers practical guidance for policymakers, library administrators, and international organizations navigating the long-term implications of AI in knowledge institutions.
artificial intelligence, library services, sustainable development, China, comparative study, policy framework, digital transformation
Copyright (c) 2025 Journal of Criminal Investigation and Criminology
Exploring the Influence of National Early Childhood Education Policies on Child Cognitive and Social Development: A Comparative Analysis Across Developed and Developing Countries
This study examines the influence of national early childhood education (ECE) policies on children’s cognitive and social development, employing a comparative analysis between developed and developing countries. Utilizing data from the UNESCO Institute for Statistics, World Bank, OECD Education at a Glance Reports, national Ministry of Education websites, and peer-reviewed journals, the research adopts a mixed-methods approach. Quantitative data analysis includes descriptive statistics, regression models, and hypothesis testing, supplemented by qualitative policy evaluation through thematic and content analysis. Descriptive statistics revealed significant disparities in GDP per capita, ECE enrollment rates, public spending on ECE, and development scores between the two groups. Regression analysis indicated a positive correlation between ECE policies (enrollment rate and public spending) and cognitive and social development outcomes, confirmed by hypothesis testing. ANOVA demonstrated substantial differences in development scores between developed and developing countries. Qualitative evaluation identified prevalent policy themes such as universal access, educational quality, and service integration, more frequently observed in developed countries. Integration of findings using Spearman’s rank correlation coefficient exhibited strong consistency between quantitative and qualitative results. Validation and reliability checks, including cross-validation and Cronbach’s alpha, ensured the robustness of the findings. The study concludes that comprehensive ECE policies significantly enhance children’s cognitive and social development, with more pronounced effects in developed countries due to higher investment and implementation efficacy.
Early Childhood Education, Cognitive Development, Social Development, Policy Analysis, Developed Countries, Developing Countries
Algorithmic Issues and Fraud Risks of Intelligent Investment Advice on FinTech Platforms: a Study Combining Investor Behavior
The article constructs a fusion intelligent investment advisor fraud identification and asset recommendation model, which captures user behavior sequence features based on LSTM, combines with XGBoost to process structured transaction data, and achieves multi-dimensional risk judgment and return optimization through integrated learning. Based on the traditional rule engine and single model, the recognition accuracy and configuration precision are improved. The experimental results show that the F1-score of the fusion model reaches 0.848 and the AUC is improved to 0.902 in the fraud recognition task; in the asset recommendation task, the return of the aggressive investor is improved to 17.91%, which is better than the performance of the other models, which verifies the effectiveness and adaptability of the method.
Intelligent investment advisor; Fraud recognition; Asset allocation; LSTM
Dissemination Mechanism of Internet Slang and Social Identity Construction among Youth Groups
Purpose: To shed light on the spread of internet slang and its implications for the construction of social identity for youngsters in digital ecology, taking up the relationship between linguistic innovation processes and identity formation practices in the virtual lives of today. Method: This convergent parallel mixed-methods study applies computational sociolinguistic analysis, digital ethnographic observation, and semi-structured interviews to explore naturally occurring communicative behavior on leading social media platforms over the course of one year, as well as the behavior analysis of 50,000+ posts and a corpus of 30 individuals aged 18-25. Results: Internet slang exhibits different taxonomic structures, of which emotional expression (28.5%) and social positioning (22.3%) functions are most popular, and cross-platform diversity reflects the platform-specific evolutionary paths produced by technological affordances and algorithmic mediation. The modes that young people create their identity in are in the form of reification-authenticity performance and community-signaling regimes that implicate the subjectivity of existing theories and the linguistic innovation being worked through a network that is an assemblage of key major influences that give a scent of hierarchical cascades over conventional models of diffusion. Conclusions: Internet slang is a mechanism through which the process of youth constructing social identity becomes a sophisticated process, a process embodied in hybrid diffusion paths combining organic social influence and technological mediation, and it has totally changed linguistic change and cultural transmission as well. Practical Considerations: The results are instructive for educational interventions around digital literacy, design considerations for platforms that support healthy youth development, and policy models for addressing youth digital engagement, affirming the limitations of deficit views of youth behavior online and noting substantial cultural competence in managing challenging technological landscapes.
internet slang, youth identity construction, digital communication, social network analysis, computational sociolinguistics
Digitally Empowering Public Higher Education in Pakistan: The Role of E-Governance
This study e-governance was conceptualized as institutional innovation within higher education, and therefore, a better understanding of how managerial capacity and infrastructural contexts influence the e-governance adoption process generally, and the specific context of Pakistan, is paramount. A qualitative multiple-case study of three public universities in Lahore was completed through semi-structured interviews with faculty, administrators, and IT staff (each participant from a specific institutional role), in combination with institutional policy documents and triangulation. Theoretical of institutional theory and the Technology-Organization-Environment (TOE) framework were employed in this study. Thematic analysis revealed persistent constraints such as limited access to digital infrastructure, lack of digital training and skills, and misalignment of policy that constrain governance reform. However, institutions with more robust managerial policies claim to leverage e-governance to improve transparency, coordination, and to assist in decision making through increased access. These findings contribute to international management literature by applying and extending institutional theory to digital governance in resource-constrained environments, showing that organizational readiness and the policy framework can be determinants of innovation. For education leaders, this study provides practical guidance to improve governance in higher education and offers useful insights for policymakers and managers in developing countries adopting digital systems.
E-Governance, Emerging Economies, Higher Education, Institutional Innovation, International Management, Organizational Performance, Pakistan.
Research on Digital Preservation Pathways for Shadow Puppetry Models Based on LoRA
To address stylistic deviations and loss of core characteristics when general-purpose AIGC models reproduce shadow puppetry, this study explores and validates a digital heritage preservation pathway based on Low-Rank Adaptive Refinement (LoRA) fine-tuning technology. By constructing a dedicated shadow puppetry dataset and employing an “automatic annotation + manual correction” strategy for prompt processing, the foundational Stable Diffusion model undergoes targeted fine-tuning using LoRA techniques. Systematic evaluation of model convergence and generative quality was conducted using loss curves and X/Y/Z charts to select optimal models and parameters. Results indicate that the sub-model generated at the 14th training iteration, with weights at 0.8, delivers the finest performance, achieving high-fidelity reproduction of shadow puppetry’s core characteristics—including its flat, two-dimensional forms and intricate cut-out carvings. This model demonstrates outstanding stability and stylistic consistency across text-to-image generation, style transfer, and pose control applications. The research validates the efficacy of LoRA fine-tuning for intangible cultural heritage digitisation, providing technical support for shadow puppetry preservation and innovative design. It also establishes a replicable paradigm for digitising other stylistically distinct cultural heritage projects.
LoRA model; shadow puppetry; Stable Diffusion; auxiliary design
Digital Literacy Enhance the Rural Identity among Farmers and Herdsers?” — An Empirical Analysis Based on a Survey of Livelihood Development in Xizangan Agricultural and Pastoral Areas
Enhancing the digital literacy of farmers and herders as well as strengthenin their rural identity,can contribute to Xizang's high-quality development and play a significant role in fostering a sense of Chinese national community. Based on the 2023 survey data regarding livelihood development in Xizang's agricultural and pastoral regions, this study empirically explores the impact and mechanism of digital literacy on rural identity and its underlying mechanisms. The study examines: (1) Currently, digital literacy negatively impacts rural identity among farmers and herders; (2) digital literacy can indirectly strengthen the emotional community of rural areas by increasing farmers' and herders' participation in governance; (3) there is a threshold effect in the relationship between digital literacy and rural identity, wherein the negative impact on rural identity significantly decreases once the digital literacy level surpasses a certain threshold,and (4) the The negative impact of digital literacy on rural identity is more pronounced among middle-aged and elderly individuals, those with lower educational levels, women, and individuals economically underdeveloped areas. Based on these findings, the study makes suggestions are made, including strengthening infrastructure construction, deepening digital empowerment in rural governance, building a tiered improvement system, and promoting precise digital integration policies
Digital literacy; Rural identity; Farmers and herders
Context, Challenges and Countermeasures: Russian Energy Diplomacy Strategy and Sino-Russian Energy Cooperation
This paper systematically analyzes the evolution logic of Russia’s energy diplomacy strategy from political dominance in the Soviet Union to strategic expansion in the present age, and reveals the nature of its energy as a geopolitical tool and the continuity of its east-west balance strategy. The research shows that although Sino-Russian energy cooperation forms the basic framework of oil and gas trade and facility connection, it faces three deep challenges: geopolitical pressure intensifies Russian policy swing and weakens strategic mutual trust; traditional energy dependence and insufficient coordination in emerging fields limit cooperation depth; legal absence, financial settlement risk and coordination inefficiency continue to threaten sustainability. In order to break through the dilemma, it is necessary to construct a systematic countermeasures framework: strengthen the high-level diplomatic coordination mechanism to jointly resist external intervention; expand the cooperation between LNG production capacity and clean technology, promote the integration of the whole industry chain; improve legal protection and regional supervision, establish local currency settlement channels and crisis response plans. The study shows that through diplomatic coordination, technological innovation and institutional optimization, China and Russia are expected to build a stable and forward-looking energy community, providing a new paradigm for reshaping the Eurasian energy governance pattern, and their experience has important reference value for deepening energy security cooperation among emerging market countries.
Russian energy diplomacy, Sino-Russian energy cooperation, energy diplomacy strategy
Evolution of Technology Transfer Talent Development Models in National Innovation System Transitions: The Dual Logic of Path Dependence and Institutional Innovation
Purpose: This research examines the evolution of talent improvement frameworks relevant to technology transfer within national innovation systems undergoing rapid institutional change. A dual-logic framework is suggested, based on theories of path dependence and institutional innovation, to explain how historical limitations and innovative needs today jointly shape professional career paths. Methods: A dual-methods approach is utilized, with historical institutional analysis of China's technology transfer system during the period from 1996 to 2024 complemented by quantitative panel data analysis of 31 provinces with 899 observations. Empirical testing uses fixed-effects regression, instrumental variable methods, and mediation analysis to evaluate the theoretical model and address potential endogeneity issues related to staggered policy implementation schedules. Results: Path dependence is found to severely limit the innovation of talent improvement frameworks (β = -12.45, p < 0.05), while institutional innovation actively facilitates transformation (β = 3.78, p < 0.001). The ability to implement policy mediates 57% of total institutional innovation effects, with the legislative reform of 2015 found to be a key event resulting in improvement gains of more than 12 points within ten observing years. Conclusions: The dual-logic model shows successful strategies for talent improvement must find ways to work within existing institutional constraints while, at the same time, to take advantage of environmental pressures and policy implementation capacity to achieve transformation. Variation of treatment effects with respect to divergent development contexts would mean successful innovations require infrastructure investments to be enhanced as well as coordinated policy measures with diverse institutional domains.
Technology Transfer Talent Development; Path Dependence; Institutional Innovation; National Innovation Systems; Dual Logic Framework
Exploring the Application of Artificial Intelligence in Government Oversight: A Case Study of the U.S. Department of Government Efficiency (DOGE)
In January 2025, the U.S. Department of Government Efficiency (DOGE) was established to utilize artificial intelligence to oversee the operations of the federal government and the conduct of government officials. It identified a series of issues and proposed numerous reform measures, but the reforms failed rapidly due to significant controversy. The success and failure of the DOGE's government oversight and reform efforts offer three important theoretical insights. First, artificial intelligence significantly expands the boundaries of human rationality. Through the application of AI technology, there has been a significant leap in government oversight capabilities, demonstrating immense potential in assisting humans in building high-quality governments. Second, the dilemma of human nature's alienation. The "immoral economic agent attributes" of government officials (rooted in self-interest motives, rent-seeking behavior, or dereliction of duty) lead to a decline in governance effectiveness and foster systemic resistance to technological oversight. Third, the dilemma of institutional resistance and technological limitations. The potential of AI-empowered government supervision is constrained by three obstacles: the institutional monopoly of government administrative power, the "black box" of government formed by the evasion or even resistance of the government and officials to supervision, and the technical limitations of AI itself, such as algorithmic bias and data privacy. Based on this, this paper proposes a five-dimensional practical framework of "technology empowerment, institutional embedding, improvement orientation, consensus observation, and moral cultivation" to provide an effective and feasible path for the deep integration of AI into the government supervision system.
U.S. Department of Government Efficiency (DOGE); government oversight; artificial intelligence; theoretical insights; practical pathways
The Role of Arts Education in Preserving Traditional Folk Music in Guizhou, China
Introduction: Guizhou Province in southwest China is renowned for its rich traditions of folk music, particularly among ethnic communities such as the Dong and Yi. These musical forms serve as cultural archives, transmitting oral history, identity, and communal values. However, modernization, urban migration, and the rise of globalized entertainment threaten their continuity. In response, arts education has been identified as a potential mechanism for preserving this intangible cultural heritage. Purpose: This study investigates how arts education contributes to the preservation of traditional folk music in Guizhou, with emphasis on school-community collaboration, curriculum integration, and intergenerational learning. Methodology: Using a mixed-methods design, the study involved two focus group discussions with 12 educators and cultural practitioners, and a structured survey administered to 200 secondary school students. Qualitative data were analyzed thematically, while quantitative data were examined using descriptive statistics, Pearson’s correlation, and linear regression. Results: Qualitative analysis revealed three key themes. First, school-based exposure to traditional music enhanced students’ cultural awareness and musical literacy. Second, intergenerational learning and community engagement enriched educational experiences through direct contact with traditional bearers. Third, implementation challenges were reported, including inadequate teacher training and a lack of culturally relevant materials. Quantitative findings indicated moderate exposure to traditional music (M = 24.00, SD = 10.10) and cultural identity (M = 26.01, SD = 9.85), but no significant correlation between the two variables (r = −0.05, p = .46), suggesting exposure alone may not predict identity development. Conclusion: While arts education offers potential for cultural preservation, its effectiveness depends on pedagogical depth, community collaboration, and institutional support to ensure the sustainability and transmission of intangible musical heritage.
Arts Education, Folk Music Preservation, Intangible Cultural Heritage, Guizhou Province, Cultural Identity
Research on Digital Extraction and Design Methods of Traditional Patterns Based on Computer Vision
Traditional patterns are the treasures of human civilization, carrying rich historical and cultural information. They are unique art forms formed in the long-term historical development of different regions and nationalities, reflecting the social life, religious beliefs, aesthetic concepts and technological levels at that time. Traditional patterns not only have high artistic value, but also contain profound cultural connotation, which is an important symbol of national culture. Through the inheritance and research of traditional patterns, we can deeply understand the historical origin, cultural context and social development of a nation. They are the bridge connecting the past and the present, which is of great significance for promoting national culture, enhancing national cohesion and cultural self-confidence.
Melodies Across Borders: Investigating the Relationship Between Music Preferences and Cultural Identity Among Multinational Youth
Purpose: This study investigates the relationship between music preferences and cultural identity among youth across different provinces in China. While globalization has diversified musical exposure, regional cultural characteristics may still play a significant role in shaping musical tastes and identity formation. By examining provincial variations, this research seeks to understand how music serves as a marker of cultural self-perception within a rapidly modernizing Chinese society. Methods: A cross-sectional survey was conducted with 400 participants aged 18 to 25, recruited from four provinces representing distinct cultural regions of China: Guangdong, Sichuan, Shandong, and Inner Mongolia. Participants completed the Music Preference Scale (MPS) and the Multigroup Ethnic Identity Measure (MEIM). Quantitative data were analyzed using descriptive statistics, ANOVA, Pearson correlation, and multiple regression analyses to explore differences in music preferences across provinces and the association with cultural identity strength. Results: Significant provincial differences in music preferences were observed. Participants from Inner Mongolia and Sichuan demonstrated stronger preferences for traditional and folk music, while those from Guangdong and Shandong showed higher affinities for contemporary genres such as pop, hip-hop, and electronic dance music. A positive correlation was identified between preference for traditional music and stronger cultural identity scores, whereas a preference for globalized music genres was associated with lower cultural identity scores. Conclusions: The findings highlight that regional cultural backgrounds within China continue to influence youth music preferences and cultural identification. Traditional music remains an important anchor for cultural identity in certain provinces, even amid increasing exposure to globalized music. These insights contribute to understanding the cultural dynamics of Chinese youth and inform efforts to sustain regional cultural heritage.
Music Preferences, Cultural Identity, Chinese Youth, Globalization, Regional Cultural Differences
Assessing the Psychological Impact and Mental Health Benefits of Martial Arts on Chinese Male Adults
This study aimed to evaluate the impact of traditional martial arts practices on the psychological well-being, mental health, and physical health of Chinese male adults, focusing on indicators such as stress levels, anxiety, depression, and overall emotional well-being, along with physical health markers like BMI and obesity rates. It explored how participation in martial arts, along with dietary habits and physical exercise, influences mental health outcomes, such as self-esteem, mood regulation, and resilience, with the ultimate goal of promoting both mental and physical well-being in this population. Furthermore, the study sought to develop an evidence-based physical fitness and mental health handbook that integrates traditional martial arts techniques, aimed at enhancing not only physical health but also psychological resilience, emotional regulation, and mental wellness. The theoretical framework was grounded in the Health Belief Model (HBM), which posits that individuals' perceptions of health risks, benefits, and psychological well-being influence their engagement in martial arts for both physical and mental health improvement. The Theory of Planned Behavior (TPB) was also employed to explore how attitudes, social norms, and perceived behavioral control shape intentions related to martial arts participation, dietary habits, physical activity, and psychological well-being. A quantitative methodology was utilized, involving a sample of 1,100 Chinese male adults. Participants were randomly selected from both urban and rural towns across China, ensuring a diverse representation in terms of socioeconomic status and geographic location. Data were analyzed using SPSS, employing both descriptive and inferential statistical techniques to assess the relationships between martial arts practice, diet, exercise, mental health outcomes, and physical health outcomes.
Traditional Martial Arts, Physical Health, Chinese male adults, Health Belief Model, Theory of Planned Behavior
AI-based Thai-English Bilingual Education Platform: Personalized Learning and Automatic Feedback System
Artificial Intelligence (AI) has been integrated into education, and this is one of the factors that has influenced language learning platforms. Specifically, the advancement of the Thai-English bilingual education systems that rely on AI would become potentially effective in terms of personalized learning as well as automatic feedback. Nonetheless, the literature indicates the lack of any literature on the use of AI in bilingual education systems with a high level of personalization and immediate feedback based on the needs of students. This disparity highlights the need for research on the role AI plays in enhancing the outcomes of the learning process and engagement in bilingual educational settings. The research aims to propose and test a bilingual education system fueled by AI, which will integrate individualized learning paths and automatic response systems. The SLR method has also been utilized to identify and analyze the current literature on studying the possibilities of introducing AI to language learning, with a specific focus on bilingual systems and the feedback given by learners. The major findings indicate that AI-based platforms are effective in personalizing the learning process. They can adapt the content to their proficiency level. Moreover, they can provide error correction in real time and provide reachable feedback. The results have a future implication in terms of educational technologies as individualized bilingual learning programs are capable of delivering AI-driven feedback, which can be used to increase the effectiveness and satisfaction levels of the studying population.
Bilingual education, personalized learning, Artificial intelligence, Thai-English, feedback system
Designing AI-Driven Dance Choreography: Motion Capture and Generation Protocols
In the era of rapid technological advancement, the emergence of artificial intelligence (AI) technology has reshaped the landscape of dance creation, proposing a new direction for artistic practice through human-machine collaboration. By integrating motion capture technology with generative algorithms and protocols, this study breaks through the limitations imposed by human physiological boundaries, creating a dynamic choreography system that enables virtual-reality interaction. This system extends the possibilities of movement language into other spatial dimensions, After reviewing the current state of AI-driven dance choreography research, this paper delves into two algorithms: a dance notation generation algorithm based on spatial feature fusion and a dance notation generation algorithm based on multi-temporal modeling. Based on the experimental results of these two algorithms, a platform architecture for the automatic generation and display of Latin dance notation is constructed, providing technical support for the documentation and preservation of dance art and culture in the new era.
artificial intelligence; motion capture; spatial feature fusion; multi-temporal modeling
A breakthrough in the genre paradigm in the process of governance modernization: the construction of realistic aesthetics in films and television series on anti-gangster themes
Starting from realism aesthetics, combined with genre research and ideological criticism methods, this paper systematically expounds the aesthetic orientation and aesthetic motivation of Chinese anti-crime film and television creation since 2018. Such works construct the aesthetic transformation system of political discourse with the help of realistic image rhetoric, and complete the dialectical unity of main theme and commercial aesthetics in the innovation of typology. Therefore, the anti-crime film and television works from "Anti-crime · Decisive Battle" to "Anti-crime Storm", "Anti-crime action", "Crazy", "Anti-crime" and other works have gradually formed a unique narrative mode and artistic style of this type of film and television works, and more generally gave birth to unique aesthetic characteristics. The creative path of this type is not only a breakthrough in the traditional film and television works involved in the case, but also an innovation and enrichment of the new mainstream suspense film and television works, and a new breakthrough in the aesthetic expression of the type of film and television art.
The Impact of Natural Resources, Green Technology, and Digitalization on the Ecological Footprint in Emerging Countries
The present work determines how natural resources, green technology, and digitalization can influence the ecological footprint in emerging countries. With high rates of economic growth, industrialization, and urbanization, ecological footprints of these countries have grown and this has brought massive environmental problems. The method used in the research is mixed accompanied with analysis of the data of various aspects, renewal energy growth, green technology consumption, CO2 emissions, and GDP development. The results reveal that green technology and renewable energy use is essential in improving the ecological footprints, but the high rate of urbanization and industrialization remains a key factor in the aspect of environmental degradation. The paper notes how economic growth and environmental sustainability occur in a complicated interdependence with one another, the issue is to institute all over embracive policies that can foster the utilization of sustainable technologies, improve energy efficiency and reduce the emission of CO2. Finally, the study recommends that greater integration is required into strategies that can decouple economic growth and natural depreciation in the emerging markets.
Ecological Footprint, Green Technology, Renewable Energy, CO2 Emissions, GDP Growth, Urbanization, Sustainability, Emerging Economies, Digitalization, Energy Efficiency
Commodity · Body · Dream——A Polysemous Interpretation of Ding Ling’s "A Small Room in Qingyun Village"
The work "A Small Room in Qingyun Village" elaborates on the reasons why women have become capitalist commodities by depicting the normal life of a group of prostitutes. Body writing presents women's bodily experiences, emotions, and desires from a unique perspective, truly caring for the feelings of the prostitute community and transcending traditional concepts. The metaphor of dreams reveals the predicament of women while implying the longing of rural and urban women for a "beautiful spiritual home". This article takes Ding Ling's work "A Small Room in Qingyun Village" as the center, and deeply analyzes the female subject consciousness from three dimensions: commodity, female body awakening, and metaphor of dreams, demonstrating the multidimensionality of human nature.
Construction of Cultural Identity in New Media Advertising from the Perspective of Semiotics
This study examines the relationship between advertising, cultural identity, and semiotics in new media to compare local and international advertising methods. It examines Nike's global campaign ‘You Can’t Stop Us’ and Patanjali's Ayurvedic campaign, analyzing how advertisers use narratives, signs, and symbols to create culturally resonant messages. The study uses a qualitative methodology rooted in semiotic analysis to explore connotative, denotative, and myth levels of meaning in advertisements. The results show how using universal symbols, like sports and multicultural posters, in international advertisements creates a sense of group identity. Conversely, local advertisements promote pride and authenticity by utilizing culturally appropriate themes and symbols. To prevent homogenizing cultural distinctions and oversimplifying complicated identities, the study emphasizes the significance of striking a balance between cultural originality and inclusivity. It also emphasizes how transformative media encourages participation and supports the development of cultural identities.
Consumer engagement, narrative strategies, symbolism, brand communication, localization, globalization, advertising, new media, cultural identity and semiotics