Business and Social Sciences Proceedings
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.
Data-Driven Strategies in Energy, Transportation, and Urban Planning: Challenges and Opportunities
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.
Copyright (c) 2025 Xu Liu (Author) https://creativecommons.org/licenses/by/4.0
The Strategic Role of Information Systems in Shaping Competitive Advantage: Internal and External Impacts on Business Environments
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 cultivation of dynamic capabilities. Ultimately, businesses that recognize and leverage the strategic potential of IS are more likely to maintain relevance and leadership in an era defined by digital transformation and rapid technological evolution.
Copyright (c) 2025 Xinyi Liu (Author) https://creativecommons.org/licenses/by/4.0
The Pedagogical Power of Sesame Street in Fostering Preschoolers' Language Development
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.
Copyright (c) 2025 Junyao Yao (Author) https://creativecommons.org/licenses/by/4.0
A Dynamic Multi-Factor Portfolio Strategy Utilizing Ensemble Decision Trees
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.
Copyright (c) 2025 Qianli Ma (Author) https://creativecommons.org/licenses/by/4.0
Sustainability Principles in Hospitality Vocational Education in China: A Comprehensive Review
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.
Copyright (c) 2025 Lu Teng, Nice Maylani Asril, Trianasari M.M., AA Ngurah Yudha Martin Mahardika (Author) https://creativecommons.org/licenses/by/4.0
Transnational Fan Culture and Cultural Identity: The Iron Man Series and Chinese Cinema Market Dynamics in Cross-Cultural Media Exchange
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.
Copyright (c) 2025 Zhuoling Zheng (Author) https://creativecommons.org/licenses/by/4.0
Rethinking Musical Knowledge: Issues of Equity and Curriculum Design in Contemporary Chinese Music Education
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.
Copyright (c) 2025 Mengying Liu (Author) https://creativecommons.org/licenses/by/4.0
On Certainty – The Comparison between Spinoza and Zhuangzi's Monism
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.
Copyright (c) 2025 Jinfeng Zhang (Author) https://creativecommons.org/licenses/by/4.0
Progress in Research on the Psychological Well-Being of ICU Nurses in the Context of COVID-19
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.
Copyright (c) 2025 Jiangyu Tan (Author) https://creativecommons.org/licenses/by/4.0
Financial Resilience through Human-Machine Coevolution: How Autonomous Control Systems Transform Strategic and Financial Decision-Making in Global Supply Chains
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.
Copyright (c) 2025 Ning Dong (Author) https://creativecommons.org/licenses/by/4.0
Shareholder Activism and Financial Performance: A Study of Publicly Listed Companies
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.
Copyright (c) 2025 Kexin Zhang (Author) https://creativecommons.org/licenses/by/4.0
Research on the Synergistic Development of China's Two-Way Internationalization under the 'Dual Circulation' New Development Pattern
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.
Copyright (c) 2025 Wenqi Li (Author) https://creativecommons.org/licenses/by/4.0
Music Education and Regional Cultural Integration: The Exploration of Value and Pathway
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.
Copyright (c) 2025 Zhongmou Zhang (Author) https://creativecommons.org/licenses/by/4.0
Examining the Challenges of Bilingual Education in Chinese Mainland from an Asian Perspective
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.
Copyright (c) 2025 Runyi Wang (Author) https://creativecommons.org/licenses/by/4.0
Opportunities and Limitations of Using Grammarly to Support EFL Writing with Generative AI
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.
Copyright (c) 2025 Qiuyu Chen (Author) https://creativecommons.org/licenses/by/4.0
Policy, Pedagogy, and Technological Disruption: Teacher Agency in AI-Integrated Educational Ecosystems
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.
Copyright (c) 2025 Xitong Ren (Author) https://creativecommons.org/licenses/by/4.0
Research on the Impact of Financial Market Fluctuations on Private Equity Investment Returns
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.
Copyright (c) 2025 Junbin Luo (Author) https://creativecommons.org/licenses/by/4.0
Research on Digital Watermarking Model and Algorithm for Vector Geographic Data
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.
Copyright (c) 2025 Dongyun Chu (Author) https://creativecommons.org/licenses/by/4.0
Understanding EFL Teachers' Occupational Anxiety under Double Reduction Policy
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.
Copyright (c) 2025 Brandy Hongyu Zhou (Author) https://creativecommons.org/licenses/by/4.0
Innovative Approaches in Online Language Education: Enhancing Cultural Competence in Virtual Classrooms
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.
Copyright (c) 2025 Zengxian Mo (Author) https://creativecommons.org/licenses/by/4.0
The Impact of Social Media on Cross-Cultural Communication in the Digital Age
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.
Copyright (c) 2025 Tao Sun (Author) https://creativecommons.org/licenses/by/4.0
Labor Provisions in Bilateral Investment Treaties: Global Practices, Normative Conflicts, and the U.S. 2012 Model Bit
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.
Copyright (c) 2025 Kaiwen Li (Author) https://creativecommons.org/licenses/by/4.0
Research on the Mathematical Model of Fairness of Educational Resources
The equitable distribution of educational resources has become a key focus in global education development. While advanced technologies such as artificial intelligence provide tools for data analysis and decision-making, their integration into educational planning raises challenges in fairness assessment. This paper aims to address the limitations of traditional evaluation methods by proposing a quantitative model that captures the complexity and heterogeneity of educational ecosystems. A multi-dimensional framework is introduced, supported by optimization algorithms and fairness indicators, to enhance the transparency and effectiveness of educational resource allocation.
Copyright (c) 2025 Xintong Hu (Author) https://creativecommons.org/licenses/by/4.0
Study on the Role and Emotional Expression of the Cello in Ensemble Performance
In this paper, we explore the role of the cello in an ensemble both functionally and emotionally. We have selected representative symphonic and chamber music works and analyzed their acoustic characteristics, such as spectral distribution, dynamic range, and duration, from recordings. This analysis allowed us to assess the performers' skills and gather listener evaluations through questionnaires and interviews. By multiple regression and cluster analyses, we clarify how diverse acoustic features and instrumental skills work towards emotional expression. The study, through the analyses, reveals several key points: (1) the cello's low-frequency timbre is a significant factor in the overall tonal balance of the ensemble; (2) certain performance techniques (legato as an example of the techniques, and vibrato) of the cello symbolize distinct pairs of emotions such as sadness and happiness; and (3) the listeners' emotional cello-timbre perceptions are in the same direction as the measurable changes of the acoustic features of this instrument. At the end of the paper, we provide ideas on the necessary cello placements for different ensemble configurations and consider the future implications of these findings in music-emotion computing and intelligent performance assistance.
Copyright (c) 2025 Zhiyun Yang (Author) https://creativecommons.org/licenses/by/4.0
Application of Data Mining Techniques in Economic Statistics
With the rapid advancement of information technology, data mining techniques have become increasingly prevalent across various fields, particularly in economic statistics, where they provide powerful tools for processing and analyzing large volumes of complex economic data. This paper explores the application of data mining in economic statistics. It begins by outlining the fundamental concepts and methods of data mining and examines their specific applications in addressing challenges in economic statistics. The paper elaborates on how techniques such as data preprocessing, classification, regression analysis, clustering, and time series analysis are applied to practical issues like market demand forecasting, macroeconomic prediction, and financial risk analysis. Through case studies, it highlights the advantages and potential of data mining in economic statistics while also addressing challenges such as data privacy, security, and quality issues. Finally, the paper discusses the future prospects of data mining in this field and suggests directions for further research.
Copyright (c) 2025 Haoran Zhou (Author) https://creativecommons.org/licenses/by/4.0
AI-Based Automated Grading Systems: Opportunities, Challenges, and Future Directions
Automated grading systems powered by artificial intelligence (AI) have significantly transformed education by enhancing efficiency, reducing grading biases, and providing instant feedback. This paper explores the opportunities, challenges, and future directions of AI-based automated grading systems. Opportunities include increased scalability, cost reduction, and enhanced student learning experiences. However, challenges such as bias in AI models, lack of human touch, ethical concerns, and data security issues remain prevalent. Future directions involve the integration of explainable AI, improved natural language processing (NLP) capabilities, and a focus on enhanced fairness and transparency. This paper concludes by emphasizing the need for interdisciplinary collaboration to optimize AI-driven grading solutions.
Copyright (c) 2025 Junyao Wang, Yasmin Hussain, Xijia Zhang, Chencheng Mao, Zhao Wu (Author) https://creativecommons.org/licenses/by/4.0
Exploring the Application and Practice of Computer Science Technology in the Big Data Era
With the advent of the big data era, computer science technology faces unprecedented challenges and opportunities. This paper aims to explore the practical applications of computer science technology in the big data era, analyzing the fundamental concepts and characteristics of big data while delving into technological advancements and innovations in data storage, processing, analysis, and their applications, as demonstrated through real-world case studies. The paper begins by reviewing the foundational theories of big data and computer science, examining data storage and management technologies such as Hadoop and NoSQL databases, as well as data processing and analysis frameworks like MapReduce and Spark. It then provides an in-depth analysis of big data applications in industries such as healthcare, finance, smart manufacturing, the Internet of Things (IoT), and public safety, highlighting their critical role in improving efficiency, optimizing decision-making, and driving technological innovation. Finally, the paper addresses challenges related to privacy and security, data quality, and future trends in big data technology. This study offers valuable insights and references for understanding the practical applications and development of big data technology across various industries.
Copyright (c) 2025 Zhangbo Shi (Author) https://creativecommons.org/licenses/by/4.0
Cross-Species Communication: An Exploration to Reduce Anxiety and Stress among Modern Youth
Cross-species communication is a very complex and interesting area of research, which refers to the communication behavior that occurs between different species, and is generally common in humans and other species, because it may imply high ideological and social values. Since the transcendental perception channels of different species are different, it seems that the vast majority of species only have a good perception of the "language" and "emotion" of the same species, and it is very difficult to achieve real communication between species, at least until now, there is still no sufficient scientific research to fully communicate between humans and animals. But this does not affect our curiosity and exploration, and we believe that there are many personal and social values for such behavior, such as we can try to take more care of the physical and mental health of animals, so as to better protect them, and of course, perhaps more importantly, we get emotional relaxation and mental relaxation from this process, as we all know, comfort is mutual.
Copyright (c) 2025 Yibo Meng (Author) https://creativecommons.org/licenses/by/4.0
Pragmatic Identity Construction of TikTok Internet Celebrity Dong Yuhui Based on Rapport Management-Adaptation Model
This study examines the construction of pragmatic identity in the live-streaming discourse of Douyin host Dong Yuhui by integrating Spencer-Oatey's Rapport Management Theory with Verschueren's Adaptation Theory. It proposes a "Rapport Management — Adaptation" framework to move beyond traditional adaptation-based analyses and offer a more nuanced understanding of identity formation in digital contexts. The research addresses three key questions: what types of pragmatic identities are constructed across various live-stream scenarios, what rapport-adaptation strategies are employed from a relational perspective, and what interpersonal functions these identities serve. A multi-level analysis reveals that Dong's discourse functions as guidance at the macro level, demonstrates specific communicative purposes at the meso level, and negotiates interpersonal elements such as face, rights, obligations, and equality at the micro level. By examining the contextual factors that shape identity choices, the study highlights the dynamic and strategic nature of identity construction in live-streaming interactions. Theoretically, it enriches the study of pragmatic identity by introducing a relational and adaptive perspective. Practically, it contributes to a deeper understanding of how online influencers like Dong Yuhui construct and manage their public personas, offering valuable implications for the analysis of celebrity discourse in emerging digital platforms.
Copyright (c) 2025 Yukun Han (Author) https://creativecommons.org/licenses/by/4.0
Attribution Controversies in Classical Chinese Fiction: The Case of Records of Ghosts and Spirits
Since the late Ming dynasty, the phenomenon of falsely attributing supernatural tale collections to Tang authors has been widespread, a fact well acknowledged by scholars. Amid the corrective efforts starting in the Qing dynasty, Records of Ghosts and Spirits (Ling Gui Zhi), traditionally attributed to the Tang author Chang Yi, has been widely regarded as a spurious work. By clarifying the life of Chang Yi, analyzing the entries in Records of Ghosts and Spirits, examining the biases of its compiler, and exploring the nature, targets, and impact of false attributions by late Ming booksellers, this paper seeks to substantiate the likelihood of Records of Ghosts and Spirits being a forged text. This analysis contributes to the study of the creation and reception of Tang dynasty supernatural tales and the broader phenomenon of literary forgeries.
Copyright (c) 2025 Miaoyan Hua (Author) https://creativecommons.org/licenses/by/4.0