Journal of Global Trends in Social Science

Visual Symbols

2025-07-02T15:13:27+00:00

As an audio-visual art, the visual symbols presented in the film have always been the focus of research and attention. In addition to discussing the details of the visual presentation of the film itself, it is more important to interpret and explain the cultural expression contained in the visual symbols. In the new era and new context, the Silk Road culture has been vigorously promoted and publicized, and many excellent literary and artistic works have been produced. "Chang'an" is one of the representative works. Based on the visual symbols presented in the film "Chang'an", this paper will analyze the intertextual connotations hidden behind it from the perspective of deconstructionism, and explain the value expression of the overall Silk Road culture.

The Flux and Reflections of Female Consciousness in the Taiwanese Film Little Big Women

2025-07-02T08:45:40+00:00

Film, as a unique art form, profoundly conveys the essence of thought, story line, perceptual experience, emotional resonance and aesthetic pursuit through the presentation of moving images. In today's society, film-watching activities not only carry the function of leisure and entertainment, but also become an important communication channel for the director's ideological views and emotional tendencies. At the same time, the feedback mechanism of the film box office also provides us with a valuable window to understand the hot issues in society and the tendency of people's interest, which in turn helps us to grasp the pulse of social change. Taking the 2020 Taiwan box office champion Little Big Women as an example, this paper focuses on the portrayal and evolution of its female image, revealing the remarkable transformation trajectory from the ‘unawakened traditional woman’ to the ‘compatible woman struggling in the traditional framework’ to the ‘new woman seeking independence and freedom’. to ‘new women seeking independence and freedom’. This process of transformation clearly presents the transmutation of identity and the awakening of subjective consciousness of three generations of Taiwanese women in the current of the times, which not only provides a localised and vivid case study for the study of contemporary feminist cinema, but also profoundly reflects the complex interactions between the loosening of patriarchal structures and the awakening of local gender consciousness in Taiwanese society.

Matteo Ricci and Sino-Western Cultural Exchange

2025-07-02T08:45:40+00:00

Matteo Ricci, an Italian Jesuit active in China from the late 16th to early 17th century, pioneered a new model of East-West cultural exchange through his "accommodation strategy." Over nearly thirty years of missionary work in China, Ricci not only propagated Christianity but also introduced Western science, mathematics, and geography, gaining respect and recognition from the Ming dynasty's scholar-officials. His collaboration with Xu Guangqi in translating Euclid’s Elements became a key bridge for scientific exchange between China and the West, exemplifying the far-reaching impact of Christianity and Western science in China. Furthermore, by deeply studying Confucian thought, Ricci sought to align Christian doctrines with traditional Chinese ethics, laying the groundwork for cultural adaptation in the spread of Christianity. Ricci’s influence extended beyond China. His writings introduced Confucian philosophy to Europe, prompting Enlightenment thinkers such as Voltaire and Leibniz to reassess the similarities and differences between Eastern and Western cultures. His depictions of China stimulated intellectual interest in Chinese philosophy, ethics, and governance, thereby promoting dialogue and integration between East and West. Ricci set a precedent for future intercultural exchanges and laid the foundation for cross-cultural communication in a globalized context. His work highlights the importance of cultural understanding and adaptation, offering valuable lessons for today’s global dialogue.

The Scars of Memory, the Trap of Desire, and the Mirror of Class

2025-06-24T11:40:29+00:00

Bong Joon-ho's films are renowned for their profound revelation and critique of South Korean social realities. This paper interprets the social allegories in Bong Joon-ho's films, such as Parasite, Memories of Murder, Snowpiercer, The Host, and Mother, through the lens of the scars of memory, the trap of desire, and the mirror of class. The films touch upon the collective "scars of memory" of the Korean people, demonstrating the historical causes and social impact of the "Han" cultural psychology through metaphors and representations of historical traumatic events. Employing Lacan's psychoanalytic theory, this paper analyzes the "trap of desire" – the alienation of characters in the context of capitalism, revealing the anxiety and loss of the lower class in the pursuit of the "ideal self." Furthermore, these films construct a "mirror of class" that reflects the solidification of social hierarchy and the disparity between the rich and the poor in South Korean society by depicting the living conditions of different classes. Bong Joon-ho's cinematic allegories are not only artistic representations of social issues in South Korea but also provide profound insights into understanding the universal problems of class conflict, human alienation, and historical memory in contemporary society.

Study on the Social Issues of the “Ancestral Temple Revival” in China

2025-06-24T11:32:46+00:00

In recent years, the revival of ancestral halls has been rapidly gaining momentum across various regions in China. This paper takes the eastern region of Hubei Province as a case study and, based on extensive fieldwork, investigates the main reasons behind the accelerated revival of ancestral halls in contemporary China and the social issues concealed behind this phenomenon. The key issues identified include: (1) the serious tendency for excessive comparison in the construction of ancestral halls and the negative impact this has on social values; (2) the deep penetration of grassroots administrative power into the construction of ancestral halls and the potential corruption problems arising from this involvement; (3) the compulsory fundraising for ancestral hall construction and the heavy economic burden it places on the impoverished rural population; in addition, the challenges related to the transformation of the shared nature of existing ancestral halls, the vulgarization of aesthetics in newly built ancestral halls, and the current divergence between the revival of ancestral halls and the mainstream national values. Finally, the paper offers recommendations on these issues, aimed at actively responding to the current exploration and practice of rural revitalization in China, particularly the goal of "inheriting, developing, and enhancing agricultural civilization, and promoting the prosperity of rural culture."

The Mediating Role of Teacher Support in The Relationship between Marginalization and Academic Performance among Migrant Children in China

2025-06-24T11:55:49+00:00

Migrant children are a special group in the process of China's economic development. They not only linger on the edge of unequal educational opportunities but are also marginalized in schools. Using data from the China Education Panel Survey (CEPS), a nationally representative sample of junior high school students, the study attempts to examine the relationship between migrant children's marginalization and academic achievement and check the moderating role of teacher support in this relationship. The results show that positive teacher support has a negative moderating effect on the marginalization of migrant children. When teachers take a positive and supportive attitude toward socially marginalized students, the marginalized children are more integrated within their peer groups over time. The more actively teachers support migrant children, the more they can reduce the probability of migrant children being marginalized. Teacher support also has a positive impact on migrant children's social behavioral development and academic performance to a large extent. The positive attitude of teachers enables migrant children, a marginalized group, to have stronger school adaptability and a more positive development direction of social behavior and academic performance.

Cultural Intermediaries and Cosmopolitans

2025-06-24T11:18:18+00:00

This article analyzes the symbolic power and locations of travel bloggers in the global cultural economy by linking the theories and approaches of cultural intermediaries, cosmopolitanism and tourist studies. Drawing on netnographic methodology and narrative analysis of Chinese social media accounts, this article further examines how travel bloggers convert world landscapes and self-presentations into mediascapes providing consumable content as well as life-styles for local audiences. A Chinese perspective is contributed by having the discussion connecting travel with other mobilities. We propose that the travel bloggers and their productions are the evidence of cultural traveling and transformation.

An Overview of Science Communication Methods and Practices in Museums in the New Media Era

2025-07-02T08:45:40+00:00

As an important social and cultural institution for the communication of science knowledge, museums carry the important mission of popularizing scientific knowledge, enhancing public scientific literacy and promoting social innovation. This study takes science communication in museums as the research content, systematically analyzes its communication status quo, methods and practice cases, deeply explores the existing problems and challenges, and puts forward optimization strategies. Through the study of communication content, channels, audience and other dimensions, combined with the exhibition, educational activities, new media communication and other specific practices, to reveal the internal rules and development path of science communication in museums. The study finds that museums need to make continuous efforts in strengthening talent training and team building, promoting communication efficiency upgrading, and enhancing public interaction and participation in order to adapt to the needs of the times, improve the efficiency of science communication and better serve the public.

Rivers as Media: Spatial Construction and Geopolitical Negotiation in China's Borderlands

2025-06-08T00:55:36+00:00

Rivers, through their interaction with humanity, have shaped human civilization. The political significance of rivers as boundaries has long been overshadowed by their practical uses and aesthetic values, receiving limited scholarly attention. Spanning China’s east and west, the Erguna River in the northeast and the Irtysh River in Xinjiang serve as key border rivers. As border rivers, they share frontier attributes and symbolize the negotiation between natural order and political boundaries. Their differing roles, influenced by unique natural features and relational actors, create diverse spatial dynamics. Cross-border rivers mediate China’s relationships with neighboring countries and subtly reshape global geopolitical patterns. This highlights their mediatory significance, capacity for spatial transformation, and nuanced relationships with human societies, neighboring countries, and the broader world.

Imagining Gender Equality: Perspectives on Equality from a Feminist Viewpoint

2025-07-02T08:45:40+00:00

The perspective on equality from a feminist viewpoint is proposed based on revealing the unequal patriarchal social structure. It explains the inequality of the patriarchal system from two aspects: temporal inequality and structural inequality. Based on this, the feminist perspective on equality deepens the understanding of the dynamics between the sexes in the process of transitioning from a formal view of equality to a substantive view of equality. However, when faced with internal divisions within feminism and the impact of external environments, the existing feminist perspective on equality reveals shortcomings such as being overly abstract, lacking representativeness, and not being inclusive. By constructing a model of four types of gender relations, this approach analyzes and critiques the existing feminist perspective on equality while expanding its modes of expression and value connotations, further elevating it to an inclusive, open, free, dynamic, and unique collection of equality values.

The Revival of Music and Dance Culture of Hunan Ancestors in the Age of Digital Intelligence

2025-07-02T08:45:40+00:00

In the context of the era when digital intelligence technology deeply empowers cultural inheritance, the ancient music and dance culture of Hunan, as an important living legacy of Chinese civilisation, is in urgent need of creative transformation through digital transformation. This paper explores the revival path of Hunan culture from the three dimensions of building a digital resource base, reshaping artistic expression through technological integration, and new media communication innovation. The study shows that artificial intelligence and big data technology can systematically preserve multimodal cultural data, virtual reality (VR) and generative adversarial network (GAN) technology can innovate artistic expressions, and short video platforms and digital exhibitions can effectively expand the boundaries of global communication. Through digital intelligence, Hunan culture has not only achieved living heritage, but has also become an important link in forging the sense of community of the Chinese nation.

“Rooster Coop” and “Jungle” : Democracy, and the Paradox of Freedom in The White Tiger

2025-05-31T15:08:44+00:00

Aravind Adiga’s The White Tiger critically exposes the contradictions of India’s postcolonial modernization through three key dimensions. The first, symbolized by the “Rooster Coop”, reveals how entrenched caste hierarchies undermine India’s democratic politics, turning elections into rituals that maintain systemic inequality. The second dimension examines the alienation of subaltern agency, illustrating how freedom is entangled with violence and moral ambiguity in a society governed by brutal “jungle laws”.The third centers on Balram’s self-narrative as a “half-baked” reflection of India’s fractured modernity, caught between feudal legacies and neoliberal aspirations. Through the protagonist’s fractured journey, Adiga exposes a deeper crisis in political modernity: when democratic institutions are transplanted without dismantling structural inequalities, democracy becomes a hollow formalism that legitimizes structural violence rather than emancipates. This critique transcends the Indian context, offering a cautionary message for all societies attempting democratization without addressing the foundational demands of justice and equality.

Financial Data Analysis and Forecast Report of Apple Inc. Using the 3D-IDPT Model of IRM-Projecting 2024-2026 Data Based on 2021-2023 Data

2025-05-31T15:08:44+00:00

This study applies the 3D-IDPT model from the field of Information Resource Management to construct a three-dimensional analytical framework for evaluating the financial performance of Apple Inc. from 2021 to 2023, while forecasting key financial trends for the years 2024 to 2026. By calculating and analyzing core indicators—including liquidity ratios, efficiency ratios, payables ratios, and the operating cycle—the research explores Apple’s financial dynamics from three integrated dimensions: spatial (individual and collective), temporal (instantaneous and synchronous), and constructive (identification, processing, and optimization).The results indicate that Apple’s liquidity steadily improved, reflecting enhanced short-term solvency. However, a downward trend in efficiency ratios suggests slowing sales and reduced asset turnover. Changes in payables ratios and the lengthening of the operating cycle reflect the company's evolving strategies in cash flow and operational management. Through the constructive axis of the 3D-IDPT model, the study proposes strategic recommendations for financial structure optimization, asset allocation, and supplier relationship management.In addition, the paper examines the potential impacts of macroeconomic variables—such as rising inflation and falling interest rates—on Apple’s financial statements. Three scenario-based simulations are presented, offering strategic response paths to future uncertainties. The study concludes that the 3D-IDPT model not only unveils the structural meaning embedded in financial data but also serves as a practical tool for guiding data-driven strategic optimization in complex business environments.

Research on The Correlation between Investments in Various Industries Based on Regression Model

2025-05-14T09:28:43+00:00

As China transitions to high-quality economic development, industrial structure adjustment has become crucial. Government investment, as a key tool of macroeconomic regulation, plays an important role in guiding industrial upgrading, optimizing resource allocation, promoting growth, and expanding employment. This study analyzes the relation-ship between industry-specific investment and GDP to provide a scientific basis for investment allocation. Using industry GDP data from 1990 to 2023, issues such as outliers, missing values, and unit inconsistencies were addressed to ensure data integrity. Pearson correlation analysis revealed that sectors such as industry, construction, manufacturing, finance, IT services, education, and healthcare are strongly linked to GDP growth. Based on the characteristics of each sector, linear or nonlinear regression models were developed to quantify investment impact. Under a total government investment constraint of 1 trillion yuan, an optimized investment plan was proposed using optimization algorithms like fmincon to maximize GDP. Analysis of historical investment proportions showed rising shares for IT services and finance, while agriculture and textiles declined. The findings demonstrate that scientific planning and optimized investment can effectively support industrial upgrading, improve resource efficiency, and promote sustainable economic growth and employment.

Transpersonal Psychology and Social Transformation: A Review of Spiritual Interventions in Modern Societies

2025-04-30T12:15:39+00:00

Transpersonal psychology integrates spirituality into individual mental health and social well-being, employing interventions such as meditation, hypnosis, and energy healing to promote holistic approaches. This literature review systematically synthesizes peer-reviewed articles and books (2000–2023) from PsycINFO, Google Scholar, and JSTOR, selected based on demographics relevant to transpersonal psychology, interpersonal practice specialization, intervention types, and outcome effects. The review explores how spiritual interventions address contemporary challenges such as mental health crises and weakened community bonds. Findings suggest that spiritual interven-tions significantly enhance individual and community resilience, al-though cultural context influences their effectiveness, and empirical support remains limited and inconsistent across regions. By bridging psychology, sociology, and cultural studies, this study evaluates spirituality’s potential for fostering social transformation through resilience and cohesion. The findings offer valuable implications for policymakers and practitioners seeking culturally sensitive strategies to strengthen mental health and social solidarity in diverse societal con-texts.

Construction of an Evaluation Index System for Construction-Related Interdisciplinary Technical Talents

2025-05-14T09:17:15+00:00

Amid the technological revolution and industrial transformation, the construction industry is accelerating digitalization, green transition, and internationalization, driving the need for versatile technical talent. Traditional evaluation systems, focused solely on technical skills, are no longer sufficient. This study constructs a multidimensional evaluation framework for composite construction professionals, covering hard skills, soft skills, cross-disciplinary capabilities, and sustainable knowledge. It integrates advanced competencies such as BIM model-ing, AI tools, and carbon emission calculations, alongside ESG report-ing, interdisciplinary collaboration, and emerging fields like circular economy and carbon trading. By applying data-driven methods to determine indicator weights and benchmarks, the framework offers a scientific, dynamic approach adaptable to corporate recruitment, academic training, and career planning. Through practical feedback, the system undergoes iterative optimization. The study also proposes graduate education reforms, including curriculum adjustments, practical training enhancement, and evaluation updates, emphasizing closer industry-academia collaboration. By addressing limitations of traditional evaluations, this framework provides theoretical and practical guidance for cultivating composite talent, supporting sustainable development in the construction sector.

Research on Interactive Display Design of Popular Science Public Space Based on Information Dissemination Theory

2025-05-31T15:08:45+00:00

This study aims to optimize the design of interactive displays for popular sci-ence content in public spaces by integrating information dissemination theory, focusing on public interaction patterns and content acceptance characteristics. Through case studies, the research first analyzes the evolution and usage challenges of public spaces, identifying user 'pain points' to propose innovative design strategies tailored to public behavior and psychology. These strategies were implemented in practical design projects, with post-deployment feedback collected via interviews to evaluate effectiveness. The results demonstrate that applying communication theory to interactive science displays not only addresses existing spatial design limitations but also enhances public engagement, emotional experience, and knowledge dissemination. The findings offer a validated approach to improving science education in public environments, underscoring their social responsibility in fostering scientific literacy.

Machine Learning-Based Search Strategy for Water Object Retrieval in Cultural Tourism Safety Contexts

2025-05-14T09:09:51+00:00

This research addresses the challenge of predicting deviations in the landing positions of objects dropped into water, with important implica-tions for cultural tourism safety near lakes, rivers, and other natural attractions. An innovative optimization method for search strategies based on machine learning is proposed. A simulated dataset incorporating features such as drop height, water entry angle, drag coefficient, and object density enables detailed model comparisons. Five machine learning models—XGBoost, Random Forest, Decision Tree, Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP)— are evaluated using Mean Squared Error (MSE), Mean Absolute Error (MAE), and the Coefficient of Determination. Experimental results show that XGBoost significantly outperforms the others, effectively capturing complex nonlinear relationships through its gradient boost-ing mechanism. In contrast, models like Decision Tree, SVM, and MLP exhibit lower predictive accuracy due to weaker generalization capabilities. This study provides a robust machine learning-based framework to enhance predictive accuracy and search efficiency in aquatic environments.

Research on Intergenerational Synergy Mechanism in Villages Driven by Digital Technology: Exploration of Realistic Paths Based on an Ageing Society

2025-05-31T15:08:45+00:00

Under the background of aging society, the rapid development of digital technology brings new opportunities and challenges for rural intergenera-tional relationships. Focusing on rural areas, this paper breaks away from the previous one-way empowerment perspective and builds a multi-dimensional analysis framework from the two-way synergy perspective, using mixed re-search method, action research method and social network analysis to ex-plore the intergenerational synergy mechanism in rural areas driven by digital technology. Through the development of "Digital Generation Index (DGI)" to achieve quantitative assessment, it is expected to reveal the reconstruction of traditional filial piety culture by digital technology, put forward the concept of "digital filial piety and fraternal duty", establish the "double helix" model of rural intergenerational digital literacy and design an appropriate model for the improvement of "digital piety and fraternal duty". The concept of "digital filial piety and fraternal duty" will be proposed, a "double helix" model of rural intergenerational digital literacy will be established, and a digital interface optimisation programme for ageing will be designed, providing theoretical sup-port and practical guidance for rural development and coping with ageing.

Adaptive Portfolio Optimization via PPO-HER: A Reinforcement Learning Framework for Non-Stationary Markets

2025-05-14T09:22:46+00:00

We propose PPO-HER, a novel reinforcement learning framework for adaptive portfolio optimization in non-stationary markets, which integrates Proximal Policy Optimization (PPO) with Hindsight Experience Replay (HER) to address sparse rewards and dynamic market conditions. The proposed method reformulates the portfolio optimization problem as a goal-conditioned Markov Decision Process, where the agent learns to reallocate assets by processing spatiotemporal market data through a Transformer-based actor network. The reward function combines logarithmic returns, risk penalties, and sparse bonuses, while HER relabels suboptimal trajectories to improve sample efficiency. Moreover, the architecture employs a TimeSformer for cross-asset attention and a GRU-based critic with spectral normalization to stabilize training. Experimental results demonstrate that PPO-HER outperforms conventional methods in terms of risk-adjusted returns, particularly during regime shifts detected by an auxiliary Changepoint-LSTM module. The framework is implemented using cuDNN-accelerated PyTorch, enabling efficient high-frequency trading with liquidity constraints. Our approach achieves state-of-the-art performance by explicitly modeling non-stationary dependencies and dynamically adjusting reward shaping based on realized volatility.

GRU-Enhanced Attention Mechanism for LSTM in Hybrid CNN-LSTM Models for Stock Prediction

2025-06-08T01:12:35+00:00

We propose a novel GRU-enhanced attention mechanism integrated into LSTM layers to improve stock prediction accuracy in hybrid CNN-LSTM models. The proposed method dynamically adjusts the importance of different time steps by combining the strengths of GRUs and attention mechanisms, thereby capturing temporal dependencies more effectively in volatile financial time series. The GRU processes the input sequence to generate hidden states, which are then weighted by an attention mechanism to compute a context vector. This context vector is fed into the LSTM layer, enabling the model to focus on the most relevant time steps and enhance its ability to handle non-stationarity and noise. The integration of GRU-enhanced attention into LSTM allows the model to better capture long-term dependencies and temporal patterns, which are critical for accurate stock prediction. Experimental results demonstrate that the proposed approach outperforms traditional methods in terms of prediction accuracy and robustness, particularly in scenarios with high market volatility. Furthermore, the model’s adaptability to varying time scales and its ability to filter out irrelevant information make it a promising tool for financial time series analysis. The proposed method not only advances the state-of-the-art in stock prediction but also provides a framework for integrating attention mechanisms into other sequential data tasks.

A Study on the Dilemma and Countermeasures of Digital Technology-enabled Villages in the Context of Domestic Ageing

2025-06-08T01:03:48+00:00

The digital economy is developing rapidly, but the problem of digital divide is becoming more and more prominent due to the weak foundation of informa-tisation of the elderly. Comprehensively promoting the common prosperity of farmers and rural areas is not only to achieve material prosperity, but also to achieve spiritual prosperity. This investigation adopts a variety of re-search methods, including literature research, questionnaire survey and data analysis, to take the functioning of villagers' service centres as a fur-ther breakthrough point, to explore the important role of villagers' service centres in building a digital inclusive society in the countryside, to help the elderly not only to overcome the digital difficulties in their lives, but also to enjoy the dividends of digital technology, to achieve healthy aging empow-ered by digital technology, and to enhance the sense of access, happiness , and sense of security.

A Swot Analysis of the Construction of a National Junior Paddleboard Instructor Training Course

2025-06-08T01:17:01+00:00

The purpose of this review is to analyse the current situation of junior pad-dleboard instructor training courses in China, and to explore their strengths, weaknesses, opportunities and challenges, in order to promote the stan-dardised development of instructors, raise awareness of water sports safe-ty, and encourage the consumption of fitness and sports tourism for all. This study used questionnaire data from 103 junior coaches to comprehensively assess the current situation of paddleboard coaches in China. The results of the study show that the strengths of China's paddleboard instructor train-ing courses lie in the abundance of university resources, frequent races and a relatively complete curriculum system; the weaknesses lie in the incom-plete curriculum system, inadequate safety services, small market capacity and unclear policy on water development. Opportunities lie in national sup-port for the development of outdoor sports, and threats are mainly the lack of training funds. The conclusion is that there is still much room for im-provement in China's paddleboard instructor training courses, and exces-sive competition should be avoided, focusing on experience, consumption and cultural promotion, and promoting the development of sports tourism and the industrial chain. It is recommended to enrich the course content, provide career development channels, strengthen instructor training, and establish a systematic and efficient instructor training mechanism

Madama Butterfly

2025-06-08T01:15:22+00:00

The Italian opera Madama Butterfly, which was created in the early 20th century, is one of the representative works of Western art that integrates Eastern elements. This paper examines the evolution of Madama Butterfly in its global dissemination and explores how power dynamics within a colonial context have shaped Western perceptions of Japan and its cultural hierarchy. It focuses on the shaping, dissemination and reproduction of the image of Asian women in Western art works, revealing how they have been symbolized and commodified, gradually solidifying into stereotypes of submission, sacrifice, and tragedy to align with Western aesthetic and cultural expectations. At the same time, it explores how Madama Butterfly has been reinterpreted in different historical stages, especially in the context of the awakening of Asian cultural subject consciousness, how Japan and other Asian countries reflect on and challenge the image of the East created by the West through reinterpretation and adaptation. The study reveals that the dissemination of Madama Butterfly not only reflects Western cultural hegemony in shaping Asian identities but also underscores the dynamic nature of cultural exchange. In the process of globalization, Asian nations are increasingly transitioning from passive recipients to active cultural agents, driving the reconstruction and critique of Orientalist narratives.

Bargaining Power and Market Turning of Export-Oriented Firms in the Context of Anti-Globalization

2025-06-08T01:06:10+00:00

Against the background of reverse globalization and the new development pattern, to address the market strategy choice problem of Chinese export-oriented enterprises, this paper takes the supply chain bargaining power as the entry point to construct a theoretical framework of corporate bargaining power and market steering. It argues that bargaining power leads to the dif-ferentiated market steering behavior of Chinese export-oriented enterprises. Based on the above logic, the analysis of empirical data from Chinese ex-portoriented firms from 2009 to 2020 reveals that: corporate bargaining power has a positive relationship with the market steering of export-oriented firms; the impact of bargaining power on the market steering of export-ori-ented firms is enhanced in both cases of a larger institutional distance ratio and non-state-owned firms. The findings of this paper enrich the research results on reverse internationalization of firms and are also instructive for the dual-cycle strategy currently being implemented by the Chinese gov-ernment.

From Restriction to Rebalancing

2025-06-08T01:09:37+00:00

The U.S. immigration policy during the Trump 2.0 era has intensified in terms of border security, management of illegal immigration, and restrictions on legal immigration, significantly impacting the economy, society, and international relations. The immigration policies during Trump's first term, which emphasized the "America First" agenda, included the construction of a border wall, travel bans, and the "zero tolerance" policy, all of which generated considerable controversy and legal challenges. Following adjustments made by the Biden administration, key policies such as the restoration of DACA, the revocation of the travel ban, and improvements in border management were implemented. However, the reintroduction of Trump 2.0 policies has reinforced border security and immigration restrictions, with proposals such as the abolition of birthright citizenship, the expansion of deportation efforts, and the tightening of legal immigration pathways. While these policies may reduce illegal immigration in the short term, they could have long-term adverse effects on the U.S. labor market, economic competitiveness, and social stability. Moreover, the Trump 2.0 policies may strain U.S.-Mexico relations, undermine U.S. leadership in global humanitarian issues, and reduce its attractiveness in the international talent competition. The success or failure of Trump 2.0 immigration policies will hinge on their ability to balance border security, economic development, and social stability.

The possibility of industrializing the convergence of artificial intelligence and cinematic video content—Centered on the Korean AIGC short films “One More Pumpkin” and “Doomsday Bubble”

2025-06-08T01:32:32+00:00

With the rapid development of modern science and technology, artificial intelligence is applied to various fields of the film industry, which has a significant impact on film production and film algorithm aesthetics. The change of artificial intelligence on the movie production process is mainly reflected in the pre-planning, scene design, live shooting and post editing. Artificial intelligence technology can not only optimize the film production process, reduce costs and improve quality, but also provide new creative tools for art workers and promote the film industry to intelligent transformation and upgrading. This paper adopts the case study method and literature review method, focusing on the application case of AIGC technology in film in South Korea, and discusses in depth the use of AIGC in film production, the changes to the film production process, and the social and artistic problems faced. Film production in the AI environment should focus on the subjective position of “human” in film creation, and AI should be used as a tool. This study aims to identify the trends of AI technology, gain insights into its impact on film production, reveal the factors, roots and effects of AI-driven development of the film industry, and explore new trends in the film industry. It explores the application of AIGC cutting-edge technologies and provides a new direction for the intelligent transformation and upgrading of the film industry.

Exploring Antitrust Legislation for Data Rights Protection Under the Perspective of New-Quality Productivity

2025-06-08T01:30:52+00:00

New-quality productivity is a key driver of China’s modernization and high-quality development, relying on both the activation of data as a new produc-tion factor and the support of technological innovation and fair market com-petition. However, legal shortcomings in data property rights protection and weak innovation incentives hinder the realization of data’s full value. To ad-dress this, the paper proposes a twofold strategy: first, establish a compre-hensive data property rights protection system by clarifying data ownership, usage, and management rights; second, use antitrust law to foster an inno-vationfriendly enforcement model, encouraging continuous high-quality achievements. Integrating data empowerment and innovation incentives ensures a healthy, sustainable development path for the data economy, lay-ing a solid legal and economic foundation for Chinese-style modernization.

AIGC Words and the Lexical System in the Digital and Intelligent Era: From Language Shock to Language Planning

2025-06-08T01:22:35+00:00

This study uses a corpus generated by ChatGPT to apply cognitive linguis-tics, philosophy of technology, and sociolinguistics in analyzing how genera-tive AI impacts the Chinese lexical system. Grounded in the “replication-variationselection” model of language evolution, the research finds that ab-stract concepts created by AI mimic human conceptual systems via “algo-rithmic metaphors,” yet lack experiential grounding. Platform algorithms re-structure language dissemination, establishing a “digital register” communi-cation hierarchy, while the technological framework leads to a vocabulary hollowing effect, necessitating a new “algorithm governance” dimension in language planning. The study offers a theoretical framework for human-ma-chine language interaction, suggests AI language ethics policies, and rede-fines traditional language evolution models by proposing a three-stage process: “variation-algorithm screening-platform diffusion.” It extends meme theory, identifying “technological memes” as engineering-driven replications. Practically, it provides strategies for language planning by advocating trans-parency, diversity, and morality as core algorithm planning principles, help-ing to address language alienation, maintain a dynamic balance between innovation and standardization, and support effective communication and the healthy evolution of language in the age of generative AI.

A Study on the Intervention of Inattentive Behaviors in Children With Moderate Intellectual Disabilities Based on Positive Behavior Support

2025-06-08T01:19:49+00:00

This study evaluated the use of Positive Behavior Support (PBS) based on Functional Behavioral Assessment (FBA) to reduce inattentive behaviors in children with moderate intellectual disabilities. Employing a multiple-base-line design, three 15-year-old male students from a special education school in Shandong participated in individualized interventions lasting 9–15 sessions. Strategies included classroom environment adjustments, behavior cues, differential reinforcement, and timely behavioral interruptions. Results showed substantial reductions in inattentive behaviors across all three cas-es, with Case J showing the greatest improvement (from 11.78 to 2.45 in-stances per session), followed by Cases W and G, with decreases of 6.44 and 4.97, respectively. All cases had a Tau effect size of 1.00, reflecting strong intervention effectiveness. Participants also displayed enhanced fo-cus, self-regulation, and quality of life, as reported by teachers and parents. However, limitations such as short intervention durations and limited parent involvement were noted, pointing to the need for extended interventions and stronger home-school partnerships. Overall, PBS proved to be an effective and flexible approach to improving classroom behaviors and social adapt-ability in children with moderate intellectual disabilities.