Business and Social Sciences Proceedings
type: channel
description: An international, peer-reviewed open-access platform that publishes high-quality conference proceedings in the fields of business and social sciences. The series provides a forum for researchers and practitioners to share insights, foster collaboration, and address contemporary challenges. All submissions are rigorously peer-reviewed to ensure the publication of impactful and timely research.
publisher: George Brown Press
language: en
publication name: Business and Social Sciences Proceedings
issn: 3079-8574
items: Design and Utility of a Graphical User Interface for Hierarchical Attack Representation Models
items: Research on Digital Quality Traceability System for Temperature-Controlled Supply Chain of Foreign Trade Wine Driven by Blockchain and IoT
items: From Land Cover Change Modeling to Precision Conservation: A Review of Methods, Applications, and Future Directions
items: Research on the Path of Business Intelligent Transformation Based on RPA + AIGC
items: Governance Mechanisms and Data Protection in Smart-Healthcare Data: An Institutional Analysis
items: The Impact of Online Advertising on Consumer Choice: Consumption Traps and Digital Marketing Ethics
items: Research on Public Policy Innovation Pathways in the Development of the Private Economy
items: FinTech Empowerment of Digital Transformation in Small and Medium-Sized Banks: Pathways and Risk Analysis
items: Data-Driven Strategies in Energy, Transportation, and Urban Planning: Challenges and Opportunities
items: The Strategic Role of Information Systems in Shaping Competitive Advantage: Internal and External Impacts on Business Environments
items: The Pedagogical Power of Sesame Street in Fostering Preschoolers' Language Development
items: A Dynamic Multi-Factor Portfolio Strategy Utilizing Ensemble Decision Trees
items: Sustainability Principles in Hospitality Vocational Education in China: A Comprehensive Review
items: Transnational Fan Culture and Cultural Identity: The Iron Man Series and Chinese Cinema Market Dynamics in Cross-Cultural Media Exchange
items: Rethinking Musical Knowledge: Issues of Equity and Curriculum Design in Contemporary Chinese Music Education
items: On Certainty – The Comparison between Spinoza and Zhuangzi's Monism
items: Progress in Research on the Psychological Well-Being of ICU Nurses in the Context of COVID-19
items: Financial Resilience through Human-Machine Coevolution: How Autonomous Control Systems Transform Strategic and Financial Decision-Making in Global Supply Chains
items: Shareholder Activism and Financial Performance: A Study of Publicly Listed Companies
items: Research on the Synergistic Development of China's Two-Way Internationalization under the 'Dual Circulation' New Development Pattern
items: Music Education and Regional Cultural Integration: The Exploration of Value and Pathway
items: Examining the Challenges of Bilingual Education in Chinese Mainland from an Asian Perspective
items: Opportunities and Limitations of Using Grammarly to Support EFL Writing with Generative AI
items: Policy, Pedagogy, and Technological Disruption: Teacher Agency in AI-Integrated Educational Ecosystems
items: Research on the Impact of Financial Market Fluctuations on Private Equity Investment Returns
items: Research on Digital Watermarking Model and Algorithm for Vector Geographic Data
items: Understanding EFL Teachers' Occupational Anxiety under Double Reduction Policy
items: Innovative Approaches in Online Language Education: Enhancing Cultural Competence in Virtual Classrooms
items: The Impact of Social Media on Cross-Cultural Communication in the Digital Age
items: Labor Provisions in Bilateral Investment Treaties: Global Practices, Normative Conflicts, and the U.S. 2012 Model Bit

Design and Utility of a Graphical User Interface for Hierarchical Attack Representation Models
type: item
description: The increasing complexity of cyber threats poses significant cognitive challenges for security analysts and creates communication barriers between technical experts and non-technical stakeholders. While graphical security models like the Hierarchical Attack Representation Model (HARM) offer a scalable solution for analysis, their practical utility is often hindered by the lack of intuitive interfaces. This paper presents the design, implementation, and evaluation of a novel web-based Graphical User Interface (GUI) for HARM, built to enhance network security analysis through effective visualization. Grounded in human-computer interaction (HCI) principles, the interface integrates the HARM model with the Harmat analysis engine, allowing users to interactively build, visualize, and analyze multi-layered attack paths. We detail the system's architecture and key design choices, such as the dual-layer canvas for attack graphs and attack trees, visual iconography, and a logical layout aimed at reducing cognitive load. Furthermore, we discuss the broader implications of this tool beyond technical analysis, exploring its potential as an educational platform for cybersecurity training and as a communication medium to facilitate risk-based decision-making in organizational contexts. The results demonstrate that a well-designed visual interface not only improves the efficiency of security analysis but also makes complex security concepts more accessible to a wider audience.
subject: Articles
  topic: section
subject: cybersecurity visualization
  topic: keywords
subject: human-computer interaction
  topic: keywords
subject: graphical security models
  topic: keywords
subject: HARM
  topic: keywords
subject: attack graph
  topic: keywords
subject: cybersecurity education
  topic: keywords
subject: visual analytics
  topic: keywords
creator: Ruoqi Guo
rights: Copyright (c) 2025 Ruoqi Guo (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-19
publication date: 2026-01-19
starting page: 66
ending page: 75
doi: 10.71222/qaj4yk62

Research on Digital Quality Traceability System for Temperature-Controlled Supply Chain of Foreign Trade Wine Driven by Blockchain and IoT
type: item
description: This study designs a four-layer digital quality traceability system adapted for cross-border use, integrating smart contracts to achieve environmental monitoring and anomaly identification throughout the wine transportation process. It proposes the FedTSA-BC algorithm, integrating a federated temporal attention network and a blockchain consensus mechanism to balance privacy protection, anomaly detection accuracy, and consensus efficiency. Experimental verification based on 162 batches of foreign trade wine data shows that the system and algorithm achieve a comprehensive anomaly detection F1 score of 98.1%, an early warning accuracy of 98.6% for temperature fluctuations of 1.5-2℃, a response time of 0.3s, a consensus latency of 1.2s under multi-node concurrency, and a throughput of 320TPS. Cross-organizational data verification efficiency is improved by 40% compared to traditional methods. This research effectively solves the core problems of unreliable traceability of temperature and seismic data and the imbalance between real-time early warning, providing technical support for digital quality management of the temperature-controlled supply chain of foreign trade wine.
subject: Articles
  topic: section
subject: blockchain
  topic: keywords
subject: Internet of Things
  topic: keywords
subject: export wine
  topic: keywords
subject: temperature-controlled supply chain
  topic: keywords
subject: digital traceability
  topic: keywords
subject: FedTSA-BC algorithm
  topic: keywords
subject: anomaly detection
  topic: keywords
creator: Yuhua Du
rights: Copyright (c) 2025 Yuhua Du (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-12
publication date: 2026-01-12
starting page: 57
ending page: 65
doi: 10.71222/sa1a4w71

From Land Cover Change Modeling to Precision Conservation: A Review of Methods, Applications, and Future Directions
type: item
description: As global urbanization and climate change intensify, the demand for data-driven spatial strategies to enhance landscape resilience has become paramount. This paper provides a comprehensive review of the evolution of Land Use and Land Cover Change (LUCC) modeling and its critical role in advancing Precision Conservation and Green Infrastructure (GI) planning. We analyze the methodological trajectory from traditional statistical models, such as Logistic Regression and Markov Chains, to modern intelligent frameworks involving Cellular Automata (CA), Machine Learning (ML), and Deep Learning (DL). The review highlights how these predictive tools enable a shift from reactive environmental protection to proactive spatial design. Specifically, LUCC modeling facilitates the identification of vulnerable biodiversity hotspots and the delineation of Ecological Security Patterns (ESP) by simulating "Sources," "Corridors," and "Strategic Points." Furthermore, we explore the integration of modeling into GI planning through scenario-based analysis (e.g., Business-as-Usual vs. Ecological Priority) and multi-objective optimization algorithms to ensure multifunctional urban resilience. Despite these advancements, significant challenges persist, including spatial-temporal data constraints, the "black box" nature of complex algorithms, and the "pixel-to-parcel gap" in policy implementation. We conclude that the future of resilient landscape management lies in the development of Digital Twins and a strengthened transdisciplinary collaboration between data scientists, ecologists, and urban planners to close the implementation gap between theoretical simulation and actionable spatial policy.
subject: Articles
  topic: section
subject: LUCC modeling
  topic: keywords
subject: precision conservation
  topic: keywords
subject: green infrastructure
  topic: keywords
subject: Ecological Security Patterns
  topic: keywords
subject: scenario planning
  topic: keywords
subject: urban resilience
  topic: keywords
creator: Ming Gao
rights: Copyright (c) 2025 Ming Gao (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-02
publication date: 2026-01-02
starting page: 49
ending page: 56
doi: 10.71222/g804nk45

Research on the Path of Business Intelligent Transformation Based on RPA + AIGC
type: item
description: The introduction of AI-generated content (AIGC) influenced by Robotic Process Automation (RPA) is allowing businesses to take advantage of emerging technology. The objective of this study is to determine the extent to which "RPA + AIGC" is transforming fundamental operations in enterprises and providing a comprehensive solution to the hurdles associated with integrating these technologies into business operations and how to monetize the business. Based on the findings from the research, the study has produced a progression transformation framework which includes technology platforms, data engineering and organizational architectures; as well as a blueprint comprised of both theoretical insight and real-world application for companies to utilize in adapting to intelligent transformation, as well as to enhance their competitive position in a rapidly changing marketplace.
subject: Articles
  topic: section
subject: RPA
  topic: keywords
subject: AIGC
  topic: keywords
subject: intelligent transformation
  topic: keywords
subject: implementation path
  topic: keywords
creator: Qiaoyu Cao
rights: Copyright (c) 2025 Qiaoyu Cao (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-02
publication date: 2026-01-02
starting page: 41
ending page: 48
doi: 10.71222/bgpzw435

Governance Mechanisms and Data Protection in Smart-Healthcare Data: An Institutional Analysis
type: item
description: The rapid expansion of smart-healthcare systems, integrating electronic health records, IoT devices, and AI-driven platforms, has created unprecedented opportunities for personalized medicine and predictive analytics. However, this evolution also intensifies concerns regarding privacy, accountability, and regulatory fragmentation. Existing studies largely emphasize either technical safeguards or compliance with legal frameworks, leaving the institutional dynamics of governance underexplored. To address this gap, the present study employs an institutional analysis, focusing on coercive, normative, and mimetic pressures that shape organizational responses. A qualitative comparative case study approach is applied across three regulatory contexts: the European Union's GDPR, the United States' HIPAA, and China's PIPL. Document analysis and historical interpretation reveal that while GDPR enforces strong rights-based protection, HIPAA balances legal mandates with professional ethics, and PIPL combines state authority with organizational imitation. Findings highlight the trade-offs between innovation and protection and demonstrate the emergence of hybrid governance practices that integrate legal, ethical, and imitative mechanisms. This research advances academic debates by bridging institutional theory with digital health governance and offers practical insights for policymakers, healthcare providers, and technology developers seeking adaptive and interoperable frameworks.
subject: Articles
  topic: section
subject: smart healthcare
  topic: keywords
subject: data governance
  topic: keywords
subject: institutional theory
  topic: keywords
subject: GDPR
  topic: keywords
subject: HIPAA
  topic: keywords
subject: PIPL
  topic: keywords
creator: Zhangzhi Yang
rights: Copyright (c) 2025 Zhangzhi Yang (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-12-20
publication date: 2025-12-20
starting page: 30
ending page: 40
doi: 10.71222/03dxss72

The Impact of Online Advertising on Consumer Choice: Consumption Traps and Digital Marketing Ethics
type: item
description: This paper explores "Dark Patterns" and behavioral manipulation mechanisms in digital marketing, revealing how enterprises use algorithm-driven consumption traps to exploit scarcity bias and cognitive load, thereby interfering with consumers' rational decision-making. This study finds that manipulative interface designs, such as biased default options and layered information concealment, violate the transparency principles of marketing ethics. Meanwhile, the misuse of data through cross-platform tracking and real-time behavioral feedback forms a "data-manipulation closed loop", establishing dynamic pressure-applying mechanisms and infringing on privacy. At the theoretical level, these digital marketing strategies rooted in behavioral economics' choice form a pervasive behavioral intervention ecosystem, which systematically undermines the information transparency and autonomous decision-making conditions required by Rational Choice Theory (RCT). From a practical perspective, this research proposes a three-tier governance framework. Firstly, enterprises need to standardize policies, clarify information disclosure, prohibit bundled authorization, and establish automatic data deletion mechanisms. Secondly, the industry should achieve co-governance through a blacklist system and implement joint punishment for non-compliant enterprises. Thirdly, addiction-inducing metrics need to be excluded, and priority should be given to matching users' genuine needs in technological applications. The ultimate goal of digital marketing should be to build long-term consumer trust relationships. Through enterprise standardization, practitioners' responsibility awareness, and industry co-governance, it returns to the essence of serving user needs and achieves a win-win situation for both commercial and social values.
subject: Articles
  topic: section
subject: Rational Choice Theory
  topic: keywords
subject: dark patterns
  topic: keywords
subject: consumer manipulation
  topic: keywords
subject: anchoring effect
  topic: keywords
subject: scarcity biases
  topic: keywords
subject: digital marketing ethics
  topic: keywords
creator: Yangjin Zeren
rights: Copyright (c) 2025 Yangjin Zeren (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-12-20
publication date: 2025-12-20
starting page: 19
ending page: 29
doi: 10.71222/5kygtw17

Research on Public Policy Innovation Pathways in the Development of the Private Economy
type: item
description: The private economy plays a significant role in the national economy, and its healthy development is crucial for economic growth and social stability. Currently, the private sector faces challenges from changing external environments and internal transformation pressures, necessitating effective support from public policies. This study investigates potential avenues for the implementation of innovative public policies that will address barriers such as the fragmentation of public policies and inefficiency in their execution, and concludes by stressing the importance of developing a systematic policy framework, facilitating the digital transformation of service delivery, supporting government-private sector collaboration, and enhancing the public policy's ability to respond to a rapidly changing world. Through these avenues, this research provides an opportunity to inject new energy into the high-quality growth of the private sector.
subject: Articles
  topic: section
subject: private economy
  topic: keywords
subject: public policy innovation
  topic: keywords
subject: policy pathways
  topic: keywords
subject: high-quality development
  topic: keywords
creator: Ziqing Yang
rights: Copyright (c) 2025 Ziqing Yang (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-12-20
publication date: 2025-12-20
starting page: 11
ending page: 18
doi: 10.71222/6bd5mw55

FinTech Empowerment of Digital Transformation in Small and Medium-Sized Banks: Pathways and Risk Analysis
type: item
description: This review examines the pathways and risks of FinTech-enabled digital transformation in small and medium-sized banks (SMEs). It explores core banking modernization, customer-facing digital channels, data-driven decision-making, and collaboration with FinTech startups as key strategies for enhancing operational efficiency, customer engagement, and competitiveness. The study also analyzes operational, cybersecurity, regulatory, and financial risks associated with digital adop-tion, and proposes mitigation strategies including technology governance, regulatory compliance frameworks, human capital development, and ecosystem collaboration. Finally, future research directions and practical recommendations for SMEs and policymakers are discussed, highlighting the potential of emerging technologies and sustainable banking practices to drive resilient and inclusive digital transformation.
subject: Articles
  topic: section
subject: FinTech
  topic: keywords
subject: SME banks
  topic: keywords
subject: digital transformation
  topic: keywords
subject: risk management
  topic: keywords
subject: sustainable banking
  topic: keywords
creator: Han Liu
rights: Copyright (c) 2025 Han Liu (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-12-20
publication date: 2025-12-20
starting page: 1
ending page: 10
doi: 10.71222/3tc68q39

Data-Driven Strategies in Energy, Transportation, and Urban Planning: Challenges and Opportunities
type: item
description: Data-driven strategies have become essential for optimizing complex systems in energy, transportation, and urban planning. By integrating advanced machine learning techniques, real-time sensing, behavioral analytics, and multi-source data, these approaches enable predictive modeling, adaptive resource allocation, and evidence-based decision-making. Applications range from carbon-aware energy optimization and resilience planning to personalized transportation services and smart urban infrastructure management. Despite challenges such as data quality, model interpretability, and behavioral variability, the convergence of multi-modal data, optimization frameworks, and socio-behavioral insights provides a roadmap for sustainable, efficient, and resilient urban systems. This review synthesizes recent methodologies, applications, and challenges, highlighting opportunities for future research and policy development in data-driven urban and energy systems.
subject: Articles
  topic: section
subject: data-driven strategies
  topic: keywords
subject: urban planning
  topic: keywords
subject: energy systems
  topic: keywords
subject: transportation networks
  topic: keywords
subject: multi-source data
  topic: keywords
subject: predictive modeling
  topic: keywords
creator: Xu Liu
rights: Copyright (c) 2025 Xu Liu (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-11-25
publication date: 2025-11-25
starting page: 31
ending page: 39
doi: 10.71222/x0zmth39

The Strategic Role of Information Systems in Shaping Competitive Advantage: Internal and External Impacts on Business Environments
type: item
description: In the contemporary business environment, information systems (IS) have evolved from simple operational tools into strategic assets that shape how organizations compete, innovate, and adapt to market challenges. This paper investigates the multifaceted influence of IS on both organizational performance and industrial competition. Rather than merely improving efficiency, information systems now function as catalysts for strategic transformation and sources of sustainable competitive advantage. Within internal operations, the integration of IS supports data-driven management and facilitates the reconfiguration of traditional workflows. By digitizing core processes and enhancing communication across departments, organizations can achieve greater coherence, transparency, and adaptability. The transformation of DP World exemplifies this process—its adoption of intelligent digital infrastructure has optimized global trade logistics, reduced redundancy, and strengthened its position in international markets. Such developments demonstrate that the strategic use of technology extends far beyond automation; it redefines how value is created and delivered. Externally, IS reshape competitive interactions within industries by altering entry barriers, customer expectations, and cost structures. Porter’s Five Forces framework offers a theoretical lens to understand this phenomenon. A prominent illustration is Ocado, an online grocery enterprise that integrates artificial intelligence, robotics, and machine learning to enhance fulfillment accuracy and operational agility. Through technological sophistication, Ocado not only achieves superior service quality but also constructs a resilient competitive shield that limits new market entrants. Although the financial and organizational costs of implementing advanced IS can be considerable, their long-term benefits are profound. Beyond cost savings, these systems contribute to strategic differentiation, continuous innovation, and the cul…
subject: Articles
  topic: section
subject: information systems
  topic: keywords
subject: competitive advantage
  topic: keywords
subject: organizational change
  topic: keywords
subject: porter's five forces
  topic: keywords
subject: digital transformation
  topic: keywords
creator: Xinyi Liu
rights: Copyright (c) 2025 Xinyi Liu (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-11-13
publication date: 2025-11-13
starting page: 24
ending page: 30
doi: 10.71222/b64n6c41

The Pedagogical Power of Sesame Street in Fostering Preschoolers' Language Development
type: item
description: This study conducts a qualitative content analysis of the long-standing children's educational program Sesame Street to examine its efficacy as a tool for language development in preschoolers. Focusing on phonological awareness and vocabulary acquisition-two critical predictors of later literacy and academic this research analyzes over 108 minutes of curated episodes and clips to identify and categorize the specific pedagogical strategies employed. The findings reveal that the program utilizes a multifaceted approach, including explicit instruction in rhyming and syllable segmentation, the integration of nursery rhymes and repetitive songs, and direct vocabulary teaching supported by strong multisensory (visual and auditory) cues. Furthermore, the program leverages celebrity appeal and music genres to introduce uncommon vocabulary and concepts like antonyms in an engaging manner. The study concludes that Sesame Street serves as a valuable audiovisual scaffold, providing rich linguistic exposure that may compensate for limited input in some home environments and thus contribute significantly to school readiness. While the program demonstrates potent immediate educational benefits, the discussion also addresses critiques regarding the durability of its effects and its replaceability in the evolving landscape of educational media. This research underscores the potential of well-designed educational programming as a supplemental tool for early childhood language development.
subject: Articles
  topic: section
subject: sesame street
  topic: keywords
subject: phonological awareness
  topic: keywords
subject: vocabulary acquisition
  topic: keywords
subject: educational media
  topic: keywords
subject: content analysis
  topic: keywords
subject: early childhood education
  topic: keywords
subject: language development
  topic: keywords
creator: Junyao Yao
rights: Copyright (c) 2025 Junyao Yao (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 17
ending page: 23
doi: 10.71222/hfgv9697

A Dynamic Multi-Factor Portfolio Strategy Utilizing Ensemble Decision Trees
type: item
description: Traditional linear multi-factor models often fail to capture the complex, non-linear dynamics inherent in modern financial markets. To address this limitation, this paper proposes an Ensemble-based Dynamic Multi-factor (EDMF) framework for constructing robust investment portfolio strategies. Using Chinese A-share market data from 2021 to 2023, encompassing 2,893 stocks and 101 alpha factors, a sophisticated data preprocessing pipeline is implemented, including LSTM-based imputation and dynamic Winsorization. The core of the EDMF framework features a gradient boosting-based feature engineering engine and an Attention-LSTM module, which dynamically adjusts factor weights according to prevailing market conditions. The model employs an incremental learning strategy, updating parameters every 30 trading days to adapt to structural market shifts. Experimental results on the 2023 test set demonstrate the superiority of the proposed approach. The LightGBM-based model achieved a mean Information Coefficient (IC) of 0.153, an annualized return of 31.4%, and a Sharpe ratio of 2.08, significantly outperforming other ensemble models such as XGBoost and traditional linear models. These findings validate the effectiveness of applying advanced machine learning techniques to develop adaptive and highly profitable quantitative investment strategies.
subject: Articles
  topic: section
subject: multi-factor model
  topic: keywords
subject: portfolio strategy
  topic: keywords
subject: ensemble learning
  topic: keywords
subject: decision trees
  topic: keywords
subject: LightGBM
  topic: keywords
subject: quantitative investment
  topic: keywords
subject: asset pricing
  topic: keywords
creator: Qianli Ma
rights: Copyright (c) 2025 Qianli Ma (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 9
ending page: 16
doi: 10.71222/05egm229

Sustainability Principles in Hospitality Vocational Education in China: A Comprehensive Review
type: item
description: Sustainability is no longer optional-it is a defining imperative for both global education and the hospitality sector, where resource intensity and environmental pressures demand urgent transformation. This study presents a systematic literature review (SLR), guided by the PRISMA framework, to explore how sustainability principles are embedded in China's hospitality vocational education. From an initial pool of 1,032 records, 50 peer-reviewed studies (published between 2015 and 2025) were analyzed. The findings reveal four key themes: curriculum integration, where experiential models such as farm-to-table projects and green restaurant simulations translate theory into practice; industry-education collaboration, which improves employability but remains uneven; regional disparities, with eastern provinces leading while central and western regions lag due to policy and resource gaps; and pedagogical innovations, where project-based learning and digital platforms enhance sustainability literacy yet fall short in driving consistent behavioural change. While notable progress has been made, challenges such as outdated curricula, limited faculty expertise, and unequal access persist. The study concludes that achieving truly transformative and equitable sustainability education requires systemic curriculum reform, targeted faculty development, supportive policy frameworks, and stronger, incentivized industry partnerships.
subject: Articles
  topic: section
subject: sustainability
  topic: keywords
subject: vocational education
  topic: keywords
subject: hospitality
  topic: keywords
subject: China
  topic: keywords
subject: systematic literature review
  topic: keywords
creator: Lu Teng
creator: Nice Maylani Asril
creator: Trianasari M.M.
creator: AA Ngurah Yudha Martin Mahardika
rights: Copyright (c) 2025 Lu Teng, Nice Maylani Asril, Trianasari M.M., AA Ngurah Yudha Martin Mahardika (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-10-30
publication date: 2025-10-30
starting page: 1
ending page: 8
doi: 10.71222/54c7m948

Transnational Fan Culture and Cultural Identity: The Iron Man Series and Chinese Cinema Market Dynamics in Cross-Cultural Media Exchange
type: item
description: This study examines the intersection of transnational fan culture and cultural identity through the lens of the Iron Man series' reception in the Chinese cinema market. By analyzing the complex dynamics between Hollywood's globalization strategies and Chinese audiences' cultural responses, this research investigates how transnational media franchises navigate cross-cultural communication while fostering fan communities that transcend geographical and cultural boundaries. Through textual analysis and discourse analysis methodologies, this research explores how the Iron Man series serves as a vehicle for understanding broader patterns of cultural exchange, identity formation, and market adaptation in the contemporary global media landscape. The findings reveal that nearly half of audiences for superhero films are women in China, with a majority of consumers of superhero film-related products also being women, indicating significant gendered patterns in transnational fan engagement. This research contributes to the growing body of literature on transnational cinema studies while providing practical insights for media industries seeking to engage cross-cultural audiences effectively.
subject: Articles
  topic: section
subject: transnational fan culture
  topic: keywords
subject: Chinese cinema
  topic: keywords
subject: Iron Man series
  topic: keywords
subject: cross-cultural communication
  topic: keywords
subject: cultural identity
  topic: keywords
subject: Hollywood globalization
  topic: keywords
creator: Zhuoling Zheng
rights: Copyright (c) 2025 Zhuoling Zheng (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-08-14
publication date: 2025-08-14
starting page: 118
ending page: 125
doi: 10.71222/mbj97j69

Rethinking Musical Knowledge: Issues of Equity and Curriculum Design in Contemporary Chinese Music Education
type: item
description: This study examines equity and curriculum design issues in contemporary Chinese music education through a critical lens of knowledge construction. Employing qualitative research methods including classroom observations and semi-structured interviews across urban and rural contexts, the research reveals significant disparities in resource allocation, teaching content, and student participation opportunities. Current curriculum designs predominantly emphasize skill-oriented approaches while neglecting students' multicultural backgrounds and individual expression needs. The findings indicate a persistent tension between policy intentions for inclusive education and actual classroom practices that perpetuate educational inequalities. Drawing from critical pedagogy frameworks, this study proposes reshaping musical knowledge paradigms beyond traditional Western-centric and technique-focused models, towards approaches that are more culturally responsive and socially just. The research contributes theoretical insights and practical recommendations for developing equitable, inclusive, and culturally diverse music education systems in China.
subject: Articles
  topic: section
subject: music education
  topic: keywords
subject: educational equity
  topic: keywords
subject: curriculum design
  topic: keywords
subject: multiculturalism
  topic: keywords
subject: knowledge reconstruction
  topic: keywords
creator: Mengying Liu
rights: Copyright (c) 2025 Mengying Liu (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-08-14
publication date: 2025-08-14
starting page: 110
ending page: 117
doi: 10.71222/ps02bj92

On Certainty – The Comparison between Spinoza and Zhuangzi's Monism
type: item
description: In this paper, the concept of monism is compared between Spinoza and Zhuangzi. Although both ultimately aim at liberation from the autocracy of theology or morality, their ontological starting points differ significantly. Spinoza’s monism is rooted in a rational and deterministic substance, emphasizing certainty and logical necessity, whereas Zhuangzi’s monism arises from an indeterminate Dao, characterized by fluidity and uncertainty. These ontological differences—marked by opposing properties yet situated within the same metaphysical dimension—give rise to fundamentally distinct epistemological frameworks. As a further development, this paper reinterprets Spinoza’s classification of knowledge by introducing new dimensions grounded in the contrast between certainty and uncertainty. This revised framework is then applied to a deeper investigation into the nature of certainty itself, shedding light on how different metaphysical assumptions shape modes of knowing and the limits of human understanding.
subject: Articles
  topic: section
subject: monism
  topic: keywords
subject: freedom
  topic: keywords
subject: substance
  topic: keywords
subject: certainty
  topic: keywords
subject: knowledge
  topic: keywords
creator: Jinfeng Zhang
rights: Copyright (c) 2025 Jinfeng Zhang (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-08-06
publication date: 2025-08-06
starting page: 101
ending page: 109
doi: 10.71222/pgkj0n26

Progress in Research on the Psychological Well-Being of ICU Nurses in the Context of COVID-19
type: item
description: During the COVID-19 pandemic, frontline healthcare workers experienced significant negative psychological impacts, which can seriously impair both their mental and physical well-being, as well as their job performance. As critical contributors to pandemic response, the mental health of ICU nurses warrants focused attention. This review examines the current mental health status of ICU nurses amidst the COVID-19 context and explores the key factors influencing their psycho-logical well-being. The goal is to provide insights that may aid in enhancing the mental health of ICU nurses actively engaged in epidemic prevention and control efforts in China.
subject: Articles
  topic: section
subject: COVID-19
  topic: keywords
subject: mental health
  topic: keywords
subject: intensive care units nurses
  topic: keywords
subject: review
  topic: keywords
creator: Jiangyu Tan
rights: Copyright (c) 2025 Jiangyu Tan (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-22
publication date: 2025-07-22
starting page: 96
ending page: 100
doi: 10.71222/k5agpp63

Financial Resilience through Human-Machine Coevolution: How Autonomous Control Systems Transform Strategic and Financial Decision-Making in Global Supply Chains
type: item
description: In this work, we explore the impact of autonomous control systems on strategic and financial decision-making in global supply chains and propose a new framework for human-machine coevolution. With the advancement of artificial intelligence and automation technologies, supply chain financial management is undergoing unprecedented transformation. Through analyzing how autonomous systems change decision-making processes, financial risk management, and capital allocation strategies, this research reveals a new model of human-machine collaboration. The findings suggest that successful supply chain strategies increasingly depend on effective integration of human financial expertise with machine capabilities, a coevolutionary relationship that is redefining how global business ecosystems operate and create financial value. This study provides both theoretical foundations and practical guidance for understanding and managing this transformation.
subject: Articles
  topic: section
subject: human-machine coevolution
  topic: keywords
subject: autonomous control systems
  topic: keywords
subject: supply chain finance
  topic: keywords
subject: strategic decision-making
  topic: keywords
subject: financial risk management
  topic: keywords
creator: Ning Dong
rights: Copyright (c) 2025 Ning Dong (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-22
publication date: 2025-07-22
starting page: 90
ending page: 95
doi: 10.71222/tw4nxg37

Shareholder Activism and Financial Performance: A Study of Publicly Listed Companies
type: item
description: This study employs panel data from publicly listed companies in the A-share and H-share markets over the period 2015–2022 to examine the mechanisms by which shareholder activism affects corporate financial performance. We identify representative activism events using an event-study approach and then estimate fixed-effects regression models. Financial performance is measured through multiple indicators—return on equity (ROE), return on assets (ROA), and earnings per share (EPS). Controlling for industry, firm size, and macroeconomic fluctuations, our empirical results show that shareholder activism significantly enhances target firms’ short-term profitability and operates through channels such as improved governance structure and greater disclosure transparency. In the long run, activism also exerts a positive effect on market valuation and investment returns. These findings enrich the intersection of corporate governance and financial management literature and offer empirical guidance for regulators to strengthen shareholder‐rights protections and encourage rational participation.
subject: Articles
  topic: section
subject: shareholder activism
  topic: keywords
subject: financial performance
  topic: keywords
subject: corporate governance
  topic: keywords
subject: empirical study
  topic: keywords
subject: listed companies
  topic: keywords
creator: Kexin Zhang
rights: Copyright (c) 2025 Kexin Zhang (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-16
publication date: 2025-07-16
starting page: 79
ending page: 89
doi: 10.71222/4z0gmx09

Research on the Synergistic Development of China's Two-Way Internationalization under the 'Dual Circulation' New Development Pattern
type: item
description: Under the "dual circulation" development paradigm, China faces significant opportunities and challenges in promoting mutual reinforcement and coordinated growth between its domestic and international circulations. This paper first reviews the evolution of the dual-circulation concept and the scholarship on two-way internationalization. Through macro-level data analysis and in-depth case studies of exemplar firms, it then elucidates the current characteristics and dynamics of interaction between China's domestic market and external markets. From the dual perspectives of supply-side structural reform and a shifting global economic environment, the study identifies key constraints — such as mismatches in market demand, insufficient policy coordination, and risks in overseas investment. It then proposes building an integrated institutional framework linking domestic and international circulation, alongside pathways to foster collaborative innovation among enterprises. The findings suggest that by refining cross-border investment policies, strengthening financial support and risk-alert mechanisms, and encouraging coordinated innovation across industry chains, China can enhance its firms' competitiveness and sustainability within international two-way circulation. Finally, the paper outlines detailed policy implementation considerations and directions for future research, offering both theoretical insights and practical guidance for deeper integration of domestic and international circulations.
subject: Articles
  topic: section
subject: dual circulation
  topic: keywords
subject: two-way internationalization
  topic: keywords
subject: coordinated development
  topic: keywords
subject: institutional framework
  topic: keywords
subject: cross-border investment
  topic: keywords
creator: Wenqi Li
rights: Copyright (c) 2025 Wenqi Li (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-14
publication date: 2025-07-14
starting page: 71
ending page: 78
doi: 10.71222/k4zzhh56

Music Education and Regional Cultural Integration: The Exploration of Value and Pathway
type: item
description: Music education and regional cultural integration are important for improving educational quality, promoting cultural inheritance, and fostering cultural innovation. Based on the regional cultural attributes of music education and its influence mechanism, this study proposes a theoretical model of music education and cultural integration and explores its theoretical basis from an international perspective. After reviewing the literature and case studies on music education and regional cultural integration, this study summarises historical experiences to inspire the current integration path. This study further analyzes the diverse values of integrating music education and regional culture in terms of cultural inheritance and improving educational quality. Building on this foundation, this study looks ahead to future development directions, such as technological empowerment, cultural integration in a globalised context, sustainable development, and cross-border cooperation. This study provides systematic guidance for the integration of music education and regional culture in theory and practice, offering important academic and practical significance.
subject: Articles
  topic: section
subject: music education
  topic: keywords
subject: regional culture
  topic: keywords
subject: cultural integration
  topic: keywords
subject: value analysis
  topic: keywords
subject: practical approaches
  topic: keywords
creator: Zhongmou Zhang
rights: Copyright (c) 2025 Zhongmou Zhang (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 63
ending page: 70
doi: 10.71222/9g8h1162

Examining the Challenges of Bilingual Education in Chinese Mainland from an Asian Perspective
type: item
description: This study examines the challenges of Chinese-English bilingual education in mainland China from an Asian perspective, drawing comparative insights from bilingual education models in Singapore, Hong Kong, India, Japan, and other regions. Utilizing Krashen's Input Theory and semi-structured interviews with 10 bilingual individuals across Asia, the research analyzes the interplay between policy frameworks, cultural identity, and individual language acquisition experiences. Key findings reveal tensions between national language policies and personal educational backgrounds, the emotional and cultural dimensions of language choice, and systemic issues such as exam-oriented pedagogy, urban-rural resource disparities, and insufficient practical application of English. The study highlights the critical role of supportive environments, multimodal input, and culturally inclusive strategies in fostering bilingual proficiency. Recommendations include reforming assessment systems, integrating authentic language materials, and balancing instrumental goals with cultural preservation. The conclusion underscores the need for dynamic policy adjustments that harmonize global competencies with local identity, emphasizing acquisition-driven approaches and equitable resource distribution to address current barriers in mainland China's bilingual education landscape.
subject: Articles
  topic: section
subject: Chinese-English bilingual education
  topic: keywords
subject: Krashen's Input Theory
  topic: keywords
subject: cultural identity
  topic: keywords
subject: language acquisition
  topic: keywords
subject: educational reform
  topic: keywords
subject: exam-oriented pedagogy
  topic: keywords
creator: Runyi Wang
rights: Copyright (c) 2025 Runyi Wang (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 48
ending page: 62
doi: 10.71222/chhvt993

Opportunities and Limitations of Using Grammarly to Support EFL Writing with Generative AI
type: item
description: This paper explores the opportunities and limitations of using Grammarly, a generative AI writing tool, to support English as a Foreign Language (EFL) writing instruction. Grounded in the DigCompEdu framework's "Teaching and Learning" and "Assessment" domains, it presents a case study in an academic English writing course for mixed-ability undergraduates. Grammarly's features, including real-time feedback, discourse-level revision, and revision history tracking, are analyzed for enhancing linguistic accuracy, logical coherence, and metacognitive reflection. This study highlights the necessity of the balanced integration of artificial intelligence tools and teacher guidance to cultivate critical thinking and academic integrity, providing insights into technology-enhanced writing teaching methods in higher education.
subject: Articles
  topic: section
subject: Grammarly
  topic: keywords
subject: EFL
  topic: keywords
subject: generative AI
  topic: keywords
subject: education
  topic: keywords
subject: academic integrity
  topic: keywords
creator: Qiuyu Chen
rights: Copyright (c) 2025 Qiuyu Chen (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 38
ending page: 47
doi: 10.71222/gswrgp34

Policy, Pedagogy, and Technological Disruption: Teacher Agency in AI-Integrated Educational Ecosystems
type: item
description: The rapid development of artificial intelligence (AI) technology is reshaping the education ecosystem, driving the transformation of teachers' roles from traditional knowledge transmitters to learning facilitators and ethical supervisors. Through a systematic literature review, this study explores the driving factors of teachers' role transformation in the AI era and its impact on teaching strategies, while analyzing the practical challenges faced by teachers. The findings reveal that technological drivers, policy requirements, and societal demands synergistically reshape teachers' functions. However, this transformation faces multi-level challenges, including skill gaps, ethical dilemmas, and psychological conflicts. To address these issues, this paper proposes a "human-AI collaboration" teaching model, emphasizing the need to enhance teachers' decision-making authority in AI tool design. It further suggests optimizing policies, teacher training, and ethical frameworks to balance technological empowerment with educational values. The study provides theoretical and practical insights for educators to adapt to the AI era, advocating for the integration of technology, policy, and humanistic principles to restore education's core mission of nurturing holistic individuals.
subject: Articles
  topic: section
subject: teacher role transformation
  topic: keywords
subject: artificial intelligence
  topic: keywords
subject: teaching strategies
  topic: keywords
creator: Xitong Ren
rights: Copyright (c) 2025 Xitong Ren (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 31
ending page: 37
doi: 10.71222/azryt912

Research on the Impact of Financial Market Fluctuations on Private Equity Investment Returns
type: item
description: Increased volatility in financial markets has led to volatile returns on private equity investments, especially against a backdrop of uncertainty about the timing of investment exits and rising financing difficulties. In addition, market volatility complicates investment decisions and risk assessment. To avoid these problems, this paper proposes that private equity investors can diversify risks through industry and geographic diversification, flexibly adjust portfolios and exit strategies, and rely on real-time monitoring of market sentiment to optimize investment decisions. These strategies help investors improve their returns and risk management ability in an unstable market environment.
subject: Articles
  topic: section
subject: financial market
  topic: keywords
subject: private equity
  topic: keywords
subject: investment income
  topic: keywords
creator: Junbin Luo
rights: Copyright (c) 2025 Junbin Luo (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 24
ending page: 30
doi: 10.71222/14ffph32

Research on Digital Watermarking Model and Algorithm for Vector Geographic Data
type: item
description: With the widespread application of geographic information technology, the copyright protection and integrity verification of vector data have become core issues that need to be addressed urgently. Traditional digital watermarking technology has mature applications in the field of raster data, but due to the complex geometric features and sensitive topological relationships of vector data, existing methods struggle to balance invisibility and robustness. This research focuses on the spatial characteristics of vector geographic data and proposes a watermarking model based on an adaptive embedding strategy. By integrating a multi-level feature selection mechanism, a watermark generation framework that takes both capacity and stability into account is constructed, and an anti-attack optimization algorithm is designed to deal with real-world threats such as geometric transformation and format migration. Experiments show that this model significantly improves the imperceptibility of the watermark while ensuring data accuracy, providing new technical support for geographic information security.
subject: Articles
  topic: section
subject: vector
  topic: keywords
subject: geographic data
  topic: keywords
subject: digital watermarking model
  topic: keywords
subject: algorithmic study
  topic: keywords
creator: Dongyun Chu
rights: Copyright (c) 2025 Dongyun Chu (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 14
ending page: 23
doi: 10.71222/qjgf1e51

Understanding EFL Teachers' Occupational Anxiety under Double Reduction Policy
type: item
description: This paper explores the repercussions of China’s Double Reduction policy on the occupational anxiety and overall well-being of secondary school EFL teachers in Shenzhen. Drawing insights from interviews with six participants, the study uncovers three core drivers behind the increased professional burden: the requirement to offer extended after-school services, revised expectations surrounding homework practices, and the integration of broader instructional content. These shifts have contributed to heightened psychological strain, ambiguous professional roles, and intensified pressure from both school administrators and students' families. While the initiative was designed to alleviate academic stress for students, it appears to have inadvertently transferred pressure onto educators, aggravating their anxiety levels and diminishing job satisfaction. The research further outlines the coping mechanisms adopted by teachers, including rest, personal relaxation techniques, and institutional supports such as cooperative lesson design and schedule flexibility. Nevertheless, the study argues that more fundamental changes—such as targeted training opportunities and explicit policy directives—are essential to genuinely mitigate teacher stress. The findings point to an urgent need for systemic support structures to uphold teacher morale and ensure the intended benefits of educational reform are realized.
subject: Articles
  topic: section
subject: Double Reduction policy
  topic: keywords
subject: coping strategies
  topic: keywords
subject: Occupational Anxiety
  topic: keywords
subject: EFL teachers
  topic: keywords
creator: Brandy Hongyu Zhou
rights: Copyright (c) 2025 Brandy Hongyu Zhou (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-07-06
publication date: 2025-07-06
starting page: 1
ending page: 13
doi: 10.71222/j6zj4b88

Innovative Approaches in Online Language Education: Enhancing Cultural Competence in Virtual Classrooms
type: item
description: As online language education becomes increasingly prevalent, its potential to foster intercultural competence has attracted growing scholarly interest. This study explores how innovative instructional approaches in virtual Chinese language classrooms can enhance students’ cultural understanding. By analyzing authentic teaching practices — such as reflection-based tasks, cross-cultural comparison projects, and interactive role-plays — the research demonstrates how online environments can support the development of cultural awareness, adaptability, and empathy. Although challenges such as time zone differences, unequal digital access, and inconsistent student engagement persist, strategic solutions — including asynchronous communication and low-bandwidth tools — offer practical ways to address these issues. The study concludes that well-designed online instruction can serve as an effective platform for cultivating intercultural learning and global citizenship, even in the absence of physical immersion.
subject: Articles
  topic: section
subject: online language education
  topic: keywords
subject: virtual classrooms
  topic: keywords
subject: cultural competence
  topic: keywords
subject: intercultural learning
  topic: keywords
subject: innovative teaching strategies
  topic: keywords
creator: Zengxian Mo
rights: Copyright (c) 2025 Zengxian Mo (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-05-15
publication date: 2025-05-15
starting page: 84
ending page: 91
doi: 10.5281/zenodo.15515592

The Impact of Social Media on Cross-Cultural Communication in the Digital Age
type: item
description: In the field of application of information technologies in special education, there are still a number of challenges to be addressed by measures such as increasing the level of teacher training, developing targeted resources, improving equipment and creating an effective assessment mechanism. Only in this way can we fully exploit the role of Information Technology in special education, promote its development, and improve its quality. As a result, every child with special needs will have the opportunity to receive fair and high-quality education.
subject: Articles
  topic: section
subject: social media
  topic: keywords
subject: cross-cultural communication
  topic: keywords
subject: cultural awareness
  topic: keywords
subject: communication effectiveness
  topic: keywords
subject: digital interaction
  topic: keywords
creator: Tao Sun
rights: Copyright (c) 2025 Tao Sun (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-05-13
publication date: 2025-05-13
starting page: 77
ending page: 83
doi: 10.5281/zenodo.15534653

Labor Provisions in Bilateral Investment Treaties: Global Practices, Normative Conflicts, and the U.S. 2012 Model Bit
type: item
description: This article systematically examines the integration of labor provisions into bilateral investment treaties (BITs), analyzing their historical evolution, normative conflicts, and legislative models. Focusing on the 2012 U.S. Model BIT as a paradigm shift, it argues that labor clauses symbolize the "socialization" of international investment law but risk exacerbating North-South inequities. Drawing on 150 BITs (2000–2020) and 20 arbitration cases, the study reveals that 78% of labor-related disputes involve developing countries, underscoring systemic power imbalances. The 2012 U.S. Model BIT's exclusion of labor disputes from arbitration, while innovative, may inadvertently act as a disguised trade barrier by limiting developing countries' ability to challenge restrictive labor measures that effectively disadvantage them in international trade. The findings advocate for flexible models that balance sovereignty, investor rights, and labor welfare.
subject: Articles
  topic: section
subject: labor provisions
  topic: keywords
subject: BITs
  topic: keywords
subject: arbitrability
  topic: keywords
subject: public interest
  topic: keywords
subject: U.S. Model BIT
  topic: keywords
creator: Kaiwen Li
rights: Copyright (c) 2025 Kaiwen Li (Author) https://creativecommons.org/licenses/by/4.0
date: 2025-05-11
publication date: 2025-05-11
starting page: 68
ending page: 76
doi: 10.5281/zenodo.15534630