Exploring Science Academic Conference Series
The Conference Proceedings Series publishes peer-reviewed papers presented at the Exploring Science conferences. These proceedings are a valuable resource for the scientific community, providing access to the latest research findings, innovative methodologies, and interdisciplinary studies. Key Features of the Proceedings: Peer-Reviewed Content – All submitted papers undergo a rigorous peer-review process to ensure academic quality and validity. Multidisciplinary Scope – Covers a wide range of fields, including but not limited to: Physical Sciences (Physics, Chemistry, Materials Science) Life Sciences (Biology, Biochemistry, Medicine) Engineering & Technology (AI, Robotics, Renewable Energy) Environmental Sciences (Climate Change, Sustainability) Social Sciences & Humanities (Psychology, Economics, Education) Open Access & Indexing – Many proceedings are published open access, ensuring wide visibility. Some are indexed in major databases like Scopus, Web of Science, Google Scholar, and others. Digital & Print Formats – Available in both digital (PDF/eBook) and print versions for accessibility. Benefits for Authors & Participants: Publication Opportunity – Presenters can publish their work in a recognized proceedings series. Networking – Connect with global experts and potential collaborators. Career Advancement – Enhances academic profiles for researchers and students. Impactful Research Dissemination – Contributes to the global scientific discourse. Submission Guidelines: Abstracts and full papers must follow the conference’s template. Submissions should present original, unpublished research. Deadlines and review timelines are announced on the official conference website. For more information, visit the official Exploring Science Conference website or contact the organizing committee.
Dual-City Mirroring and Market Differentiation: Research on Price Correlations and Optimization Paths in Shanghai and Hong Kong Real Estate Markets
Existing studies have revealed the impact of policies, interest rates and other factors on the real estate market but focus on single-factor and single-region analyses, and there is a gap in the study of cross-regional multifactor influence weights. In this study, the real estate market and housing prices in Hong Kong and Shanghai are used as the research objects, and a multiregional and multifactor correlation and difference comparison study is carried out, with the goal of revealing the correlation and differentiation mechanism of housing prices in Shanghai and Hong Kong. The results of this study reveal that housing prices are correlated in terms of seven dimensions, namely, supply, demand, and monetary policy, whereas differences exist in terms of policy instruments, population structure, land system and other factors. After validating each factor through a dual-track framework of correlation and differentiation, factor analysis and structural equation modeling were employed to further determine the weighting of different factors across the two regions. Based on this, a housing price fluctuation early warning mechanism was established to provide references and recommendations for policy implementation, risk mitigation, and real estate regulation stabilization in megacity clusters.(Li et al., 2012)
differentiated regulation for megacities, structural equation modeling and factor analysis, housing price correlation and differentiation mechanism
Copyright (c) 2025 Chenhao Ying, Cancan Jin, Lijia Du (Author) https://creativecommons.org/licenses/by/4.0
Cryptocurrency under the Wave of Financial Technology: Development Trajectory, Impact Mechanisms and Trend Outlook
With the rapid development of financial technology (FinTech), cryptocurrency, as a critical component, has become a pivotal force in reshaping the global financial system. This paper systematically examines the developmental trajectory, impact mechanisms, and future trends of cryptocurrencies, focusing on the differentiated paths of mainstream cryptocurrencies and niche cryptocurrencies. The findings reveal that cryptocurrencies drive payment innovation, blockchain breakthroughs, and financial inclusion through decentralized architecture and smart contract technology. However, challenges such as high volatility, regulatory ambiguity, and energy consumption constrain their widespread adoption. This paper not only uncovers the bidirectional impacts of cryptocurrencies on monetary systems, technological innovation, and policy regulation but also highlights future directions for cryptocurrencies, including global regulatory harmonization, deep technology–market integration, and compliance-driven transformation of niche cryptocurrencies, by integrating cutting-edge cases and policy dynamics. The results provide multidimensional theoretical support for understanding the complexity of cryptocurrencies and balancing innovation with risk while offering practical insights for regulatory technology (RegTech) and the sustainable development of the financial ecosystem.
fintech, cryptocurrency, development trajectory, decentralized finance, regulatory framework
Copyright (c) 2025 Yongxu Li (Author) https://creativecommons.org/licenses/by/4.0
Analysis of E-commerce Platform Expansion and Brand Effect
Against the backdrop of accelerated penetration of the digital economy,e-commerce platforms have achieved scale expansion through technological iterations such as live streaming sales and algorithm recommendations, profoundly reconstructing the transmission path of brand value. The ecological expansion of leading platforms such as JD.com is significantly correlated with the formation mechanism of brand premium, but existing research lacks quantitative verification of the dynamic interaction between platform economies of scale and brand effects. This issue holds significant practical value for understanding the evolutionary laws of the e-commerce ecosystem and adjusting brand strategies. This paper takes the sportswear category on the JD.com platform as an observation window, selects Nike, Anta, and Li-Ning as comparative samples, and constructs a ridge regression model based on monthly sales panel data from 2020 to 2025 to analyze platform scale indicators and quantify the differentiated contributions of different brands to platform scale expansion. This study reveals the transformation path of e-commerce platforms from “channel tools” to “value co-creators,” providing data support for platforms to optimize brand-tiered operation strategies, and establishing a decision-making framework for brands to formulate differentiated platform entry strategies.
E-commerce platform, scale expansion, brand effect, brand premium, Nike
Copyright (c) 2025 Jiajun Deng (Author) https://creativecommons.org/licenses/by/4.0
Research on the Influencing Factors of Beijing’s Economic Growth via Multiple Regression Analysis
In recent years, academic circles have continued to discuss and study the factors influencing internal economic growth in typical regions. On the basis of the existing theoretical basis of regional economic growth research, the Cobb‒Douglas production function, this paper combines the influencing factors of Beijing economic growth with economic level indicators (Zhang et al., 2018). Using multiple regression methods, this study investigates the factors influencing economic growth in Beijing from 2003--2022. Eleven indicators, including per capita fixed asset investment (FAI) and the employment level (LR), were selected to measure the annual per capita GDP growth rate of Beijing across 11 dimensions, such as capital input, labor force input, and globalization. The research results were validated by constructing a multiple linear regression equation. The key findings indicate that the proportion of service industry output in total output (IDU) and per capita retail sales of consumer goods (CGP) significantly positively correlate with the per capita GDP growth rate (RG). On the basis of these findings, the study proposes adjusting industrial structures and formulating policies to vigorously develop the service sector and driving consumption upgrades through targeted campaigns to stimulate domestic demand. The model demonstrates good fit, providing valuable references for analyzing regional economic factors.
economic growth, influencing factors, Beijing, multiple regression model, Cobb‒Douglas production function
Copyright (c) 2025 Naiwen Zhang, Ziyu Luo, Guohua Ren (Author) https://creativecommons.org/licenses/by/4.0
Enterprise Digital Transformation and ESG Performance
In recent years, the comprehensive performance of enterprises in the environment, society and corporate governance (ESG) has become increasingly important and has attracted the attention of all sectors of society. Moreover, the digital economy has developed rapidly, and the digital transformation (DX) of enterprises is also an inevitable trend. Therefore, whether the DX of enterprises affects ESG performance is the core issue of this paper. On the basis of data from A-share listed companies in the Shanghai and Shenzhen stock markets from 2009--2023, the impact of the DX of enterprises on ESG performance is studied. In addition, the effects of lag periods and heterogeneity were also studied. The results show that the DX of enterprises has a significant positive effect on the ESG rating of enterprises and that there is a significant positive lag effect. Moreover, the DX of enterprises has a positive effect on environmental protection and social responsibility but a negative effect on corporate governance. Moreover, the heterogeneity analysis of the nature of property rights shows that the impact of the DX of nonstate-owned enterprises on the ESG performance of enterprises is more significant.
ESG, digital transformation, heterogeneity, nature of property rights, lag test
Copyright (c) 2025 Jianan Li, Jiayi Song (Author) https://creativecommons.org/licenses/by/4.0
The Influence of Health Literacy Level on the Purchasing Behavior of Health Products
The implementation of the Healthy China 2030 goals has led to the vigorous development of the health industry, including the rapid growth of the health product industry. Nevertheless, it is still unclear what factors influence consumers' propensity to buy health items. This study focuses on how consumers' propensity to buy health items is influenced by their level of health literacy. This article is based on the Theory of Planned Behavior, and a model is constructed with health literacy level as the independent variable, attitude toward the behavior, subject norm, perceived behavior control as mediating variables, and health items purchase intention as the dependent variable. The study employs questionnaire surveys and data model analysis to test the hypotheses are valid not. Through data analysis, it is concluded that attitude toward the behavior, subject norm, perceived behavior control, as partial mediating variables, significantly positively influence consumers' willingness to purchase health products by their health literacy level . This conclusion may help the factory which produces health products. From the outset of promotion, the aim should be to enhance consumers' health literacy level to expand the market. During sales and after-sales service, products should be introduced in a way that is closer to their actual effects and needs, thereby enhancing consumer trust and customer loyalty, and ultimately increasing purchase intention.
health literacy, theory of planned behavior, health products, consumer behavior
Copyright (c) 2025 Yuhan Hou (Author) https://creativecommons.org/licenses/by/4.0
Analysis of Digital Financial Inclusion Promotion of Rural Economic Development
In the context of the digital age, China has set new goals for rural economic development: to transform from a major agricultural country to a powerful agricultural country. On this basis, digital financial inclusion has become a powerful tool for achieving this goal. This paper systematically reviews the impact and pathways of digital financial inclusion on rural economic development. This paper focuses on the practical effects of digital financial inclusion in areas such as rural revitalization, high-quality agricultural development, rural economic growth promotion, and common prosperity. According to multiple studies, digital financial inclusion has effectively promoted the transformation and upgrading of rural industries and the optimization of the rural consumption structure through methods such as optimizing resource allocation and expanding the boundaries of financial services. However, issues such as unbalanced regional development and risk prevention and control still need to be optimized and resolved. This paper, by integrating multiple academic research papers, proposes methods for optimizing paths such as strengthening the infrastructure of digital financial inclusion and improving the application system, striving to achieve common prosperity and narrowing the urban‒rural gap.
digital financial inclusion, rural economy, rural income growth
Copyright (c) 2025 Zhi Zhang (Author) https://creativecommons.org/licenses/by/4.0
Influence of the Fan Economy on the Operation of Sports Events in the Age of Social Networks
In today’s globalized and digitalized era, sporting events have become important platforms for economic activities and cultural exchange. With the resurgence of the fan economy in 2018, its development trend has gained market recognition. While various industries are competing to attract fans for economic benefits, the sports industry faces challenges such as insufficient public sports consumption and low per capita spending on sports. As the upstream sector of the sports industry, sporting events are undoubtedly the driving force behind its growth. Despite issues such as underdeveloped industrial chains and the need to increase sports consumption, the sporting event market shows great potential, supported by favourable factors such as national policies, rapid economic growth, technological advancements, and legal improvements. This paper analyses the current state of sporting events in China and identifies the key issue as "foot traffic," or the problem of "fans." The quantity and quality of fans are the foundation of any sporting event. Therefore, keeping up with the times and vigorously developing the sports fan economy is crucial for expanding the influence of sporting events. Through a three-step model of "attracting fans," "retaining fans," and "monetizing fans," this paper aims to enhance the impact of the fan economy on sporting events, strengthen fan monetization capabilities, and promote the healthy and prosperous development of the sports industry, providing practical insights for its growth.
Fan economy; sporting events; operational models; fandom economy
Copyright (c) 2025 Jingxing Qian (Author) https://creativecommons.org/licenses/by/4.0
Information Management as a Strategic Lever—A Case Study of Satya Nadella’s Leadership in Microsoft Transforming
Since 2014, Microsoft CEO Satya Nadella has driven a remarkable transformation via cloud and AI focus, with information management as a core enabler. This study explores how Nadella’s information management—collection, integration, and application of internal/external data—influenced Microsoft across five management domains: managerial roles (Mintzberg), strategy (BCG matrix, Porter’s five forces), HR (diversity), motivation (Maslow), and leadership (path–goal theory). Using a case study approach, it analyses practices such as the “cloud-first” strategy, “One Microsoft” information sharing, employee feedback mechanisms, and data-driven partnerships (e.g., OpenAI), which are supported by performance and satisfaction data. Effective information management led to 200% market cap growth (2014–2019), Azure’s 23% cloud share (2023), 47% revenue growth (2017–2020), and 85% employee satisfaction (2023). Nadella’s integration of information management and transformational leadership offers a blueprint for organizational success in the digital era.
Information Management; Satya Nadella; Transforming Microsoft; Strategic
Copyright (c) 2025 Xingyao Feng (Author) https://creativecommons.org/licenses/by/4.0
A Study on Globalised Asset Allocation Based on Chinese High Net Worth Households
Over the past seven decades, China's economic development has made a historic leap forward. The per capita disposable income of residents has been rising, and the size of the high net worth income group has been expanding, and it is expected to be the largest in the world. This study points out that the cross-border capital flows of HNWIs have become significantly active, driven by both the deepening of globalisation and the deepening of the openness of China's capital market. Data monitoring shows that the compound annual growth rate of the overseas asset allocation scale of this group will reach 17.8% between 2020 and 2022, which fully confirms that globalisation has become a mainstream trend. The study further reveals that when the financial volatility index of a single economy exceeds the threshold of 0.45, the annualised volatility of the wealth portfolio without cross-border allocation is 320 basis points higher than that of the globalised portfolio. The continued expansion of this risk premium difference objectively requires wealth management organisations to construct a global asset allocation model based on currency hedging mechanism and geo risk diversification to effectively cope with the increasing volatility transmission effect in international financial markets. By analysing the current situation of wealth management of China's HNW clients, this paper puts forward some suggestions for international asset allocation, which will provide reference for the development of China's wealth management market in the future.
high net worth families, global market, risk management, invisible demand, configuration strategy
Copyright (c) 2025 Angran Sun (Author) https://creativecommons.org/licenses/by/4.0
Comparative Financial Analysis of AIA and Prudential During the Pandemic (2019--2022)
As representatives of the world's leading insurance companies, the performance of AIA and Prudential during the COVID-19 pandemic has been highly important to the insurance industry's response to the crisis. This article uses financial statement analysis and DuPont analysis (ROE decomposition) to compare the performance of the two companies in terms of core profitability (gross profit margin, net profit margin) and business growth capabilities. AIA has shown stronger financial resilience, with core profitability continuing to be positive; while Prudential has faced drastic fluctuations, especially in 2022, with significant operating losses and negative profit margins, and its risk response capabilities have been significantly challenged. DuPont analysis further reveals that one of the key reasons for Prudential's difficulties is its high historical financial leverage ratio. The insurance industry needs to focus on improving strategic agility and operational resilience during the crisis; specifically, at the enterprise level, it should actively expand diversified market sales channels and accelerate the development of innovative insurance products to meet the needs of the times.
Financial statement, DuPont analysis, AIA, Prudential
Copyright (c) 2025 HioTong Su, Qiyu Yang (Author) https://creativecommons.org/licenses/by/4.0
Data-Driven E-commerce Marketing Strategies: The Integration of Big Data and Artificial Intelligence
This paper explores the integration of Big Data and Artificial Intelligence (AI) in shaping modern e-commerce marketing strategies. The convergence of these technologies enables businesses to gain a deep understanding of consumer behavior, predict future trends, and provide personalized experiences at scale. Through case studies and technological analysis, we demonstrate how AI and Big Data are transforming customer interactions, optimizing marketing efforts, and increasing return on investment (ROI) in the e-commerce sector. We also highlight the challenges and future prospects of leveraging these technologies effectively.
E-commerce, Big Data, Artificial Intelligence, Marketing Strategy, Personalization, Customer Experience, Predictive Analytics
Copyright (c) 2025 Yangjie Lin (Author) https://creativecommons.org/licenses/by/4.0
Research on how companies can sustainably grow in crowded markets——Taking Xiaomi and BiliBili as examples
In an increasingly competitive global market, where industries from consumer electronics to digital content face saturation and margin pressures, companies are compelled to adopt innovative strategies to increase market share and profitability. These measures—both profitability and market share—are important predictors of corporate competitiveness, which is reflected not only in strategic foresight of resource allocation but also in operational efficiency. Through strategic leverage and integrated market financial governance, Xiaomi and Bilibili—two industry disruptors in hardware manufacturing and digital content, respectively—have grown exponentially and provided replicable frameworks for enterprises operating in complicated ecosystems, according to this paper. Xiaomi's dominance in the EV sector is an example of ecosystem-driven diversification. Xiaomi took advantage of the current IoT user base (more than 700 million connected devices) by the SU7 sedan that was launched in 2024, which reduced the cost of customer acquisition by 40% in comparison to that of conventional automakers. Concurrently, its asset–light manufacturing model—partnering with the BAIC Group for production while retaining R&D control—lowered capital expenditure by 60%, boosting its operating margin to 18.7% in Q3 2024. Conversely, BiliBili demonstrates community-powered monetization. Transitioning from a niche anime platform to a PUGC (professional user-generated content) hub, the number of monthly active users (MAUs) increased from 150 million in 2020 to 368 million in 2024. By implementing a “dual-engine” revenue model—advertising (45% of 2023 revenue) + premium subscriptions (30%)—it achieved 22% year-on-year profit growth while maintaining a 78% user retention rate through gamified loyalty programs (e.g., “Coin System” for content rewards).
sustainable growth, market share, capital recycling model, leverage strategy, PUGC
Copyright (c) 2025 Zixu Wang (Author) https://creativecommons.org/licenses/by/4.0
Does green fiscal policy promote the sustainable development of urban economic benefits?—— Using twofold difference model analysis
In recent years, the carbon peaking and carbon neutrality strategies have been continuously promoted. As a key policy tool to coordinate high-quality economic development and ecological environment governance, the efficiency evaluation and optimization path of green fiscal policy has important practical significance for the sustainable development of urban economic benefits. In this study, a multistage dual difference model was constructed. On the basis of the panel data of 283 prefecture-level cities from 2015--2023, environmental total factor productivity (GTFP) was innovatively introduced as a comprehensive evaluation index to systematically investigate the dual economic‒environmental dividend effect of green fiscal policy. The study revealed that (1) through policy implementation, the average GDP growth rate of the treatment group increased by 0.82 percentage points, and the PM2.5 concentration decreased by 12.6%, indicating a significant double improvement effect; (2) through the intermediary effect of green technology innovation (contribution of 43.7%) and the regulation effect of industrial upgrading, the promotion effect on innovative cities (β=0.163) was significantly greater than that on resource-based cities (β=0.057). Combined with the deployment of the " five major articles" of the Central Financial Work Conference in 2023, this paper suggests building a three-dimensional optimization system of " policy tool-spatial adaptation-dynamic evaluation" and improving the long-term mechanism of green fiscal policy.
Green fiscal policy; economic‒environment coordination; multistage DID; spatial heterogeneity; two-carbon target
Copyright (c) 2025 Zhefeng Shi, Xukai Wei, Ruwen Zheng, Bo Cheng (Author) https://creativecommons.org/licenses/by/4.0
电影声音中的能指与所指——浅析《利益区域》和《燃烧女子的肖像》的声音元素
本文运用结构主义和符号学的理论框架，剖析电影《利益区域》和《燃烧女子的肖像》中的声音元素，从人物对白及动效、环境声和电影音乐三个维度解读两部电影中声音元素的象征内涵和艺术表现。在《燃烧女子的肖像》中，声音设计塑造了一个理想化的女性空间，通过声音的细节处理揭示了女性主体性的觉醒和对平等自由的追求；而《利益区域》则通过声画对立的手法，将奥斯维辛集中营的残酷声音与纳粹家庭的田园生活并置，揭露纳粹暴行中的“平庸之恶”。文章发现电影中的声音设计不仅丰富了叙事和情感层面，而且通过声音的多维聆听体验，建立了能指与所指之间的复杂联系，为观众提供了深入解读电影的途径，激发了观众对现实生活与虚拟世界中感受的融合，引发其对宏大哲学命题的深刻反思。
电影声音；声音设计；能指与所指；《利益区域》；《燃烧女子的肖像》
Copyright (c) 2024 雨姝 朱 (Author) https://creativecommons.org/licenses/by/4.0
敦煌壁画艺术——现代化传承理念与数字化传播路径
敦煌壁画艺术一直以来是敦煌多元文化中重要的组成部分，既具有极高的艺术价值，又包含深厚的中国传统文化底蕴。如何有效地保护和传承敦煌非遗壁画艺术，使其适应现代社会的需求和审美，实现其社会价值和文化价值的资源转化，是一个亟待解决的问题。本文旨在简述敦煌非遗壁画艺术的现代化传承理念，并探讨如何以此理念为依据、运用数字技术、艺术创作、文化产业等手段，弥补传统传承方式的不足、创造性地转化和创新性地发展敦煌非遗壁画艺术，使其能够在保持其真实性、整体性和传承性的基础上，更好地与现代社会和观众进行沟通和交流。
敦煌非遗壁画；现代化传承理念；数字化
Copyright (c) 2024 楚婷 乔, 宇萱 候 (Author) https://creativecommons.org/licenses/by/4.0
可持续艺术产业对乡村发展的影响——以青岛市城阳区宫家村为例
乡村振兴当下在全国各地开展，不断涌现新思路、新方法、新案例，本文聚焦青岛城阳惜福镇宫家村，以其葡萄产业为例探讨乡村可持续艺术产业发展。阐述了宫家村现有艺术产业类型、发展历程与现状及未来趋势。深入分析了其对经济的增收、就业及经济结构优化作用，对社会的文化传承创新、社区凝聚力提升以及人才吸引培养影响，还有对环境的生态保护意识促进、景观改善和资源利用效率提升等方面的影响。最后基于研究结论，针对问题和不足提出打造品牌、拓展渠道、加强人才培养等多方面建议，以推动其可持续发展。
艺术产业；乡村发展；产业增收；经济结构优化
Copyright (c) 2024 扣霞 徐, 源钊 刘 (Author) https://creativecommons.org/licenses/by/4.0
罗兰·巴特神话符号学视角下的悦城龙母文化解码
本研究聚焦悦城龙母文化，以罗兰·巴特符号学理论深入剖析这一岭南地域文化瑰宝。通过拆解龙母传说、祭祀仪式、庙宇景观等核心符号，揭示其蕴含的两级表意结 构及神话生成机制，厘清文化从先秦至当下的传承演变轨迹。研究发现，龙母文化符号一级层面关联日常认知，二级层面承载乡土道德、宗族观念等深层意蕴；且随时代变迁，在文创、线上活动里衍生新符号形式。同时总结当代价值，涉民俗传承、社群凝聚与精神指引。反思现有研究局限于样本与理论运用，展望后续借 AI 语义分析、社会学融合，完善民俗文化符号解读范式，助力传统文化传承创新。
悦城龙母文化；罗兰·巴特符号学；神话符号；文化传承；当代价值
Copyright (c) 2024 玉杰 周, 丽环 丁 (Author) https://creativecommons.org/licenses/by/4.0
图像学视域下的敦煌壁画飞天形象研究
敦煌壁画是敦煌石窟艺术的一部分，是位于中国敦煌石窟内壁的绘画艺术作品，敦煌飞天是敦煌壁画中极具标志性的艺术形象，承载着独一无二的符号特征，作为我国宝贵的文化遗产，飞天图像不仅蕴含了丰富的物质与精神文化价值，还从多个角度深刻展现了制度文化的内涵，广泛涵盖了历史、民俗、宗教及艺术等诸多领域。对这些图像进行深入的研究探索，具有极为深远的社会现实意义。本文旨在运用潘诺夫斯基的图像学理论框架，从三个递进的层次出发，对敦煌飞天壁画的主题构思、结构布局、色彩运用及图案设计进行全面而细致的解读与分析，旨在挖掘地域性风土彩画背后深层的文化意蕴，并梳理出社会文化与世俗文化相互交融的历史轨迹。
Copyright (c) 2024 雯 周 (Author) https://creativecommons.org/licenses/by/4.0
浅析“一带一路”建设对新疆发展的影响
“一带一路”倡议自实施以来，通过加强与沿线国家的合作，新疆维吾尔自治区在基础设施、经济、社会和文化方面得到了飞速发展，成为中国与中亚、西亚及欧洲国家的重要连接枢纽。然而，新疆依然面临外部形势变化、民族关系复杂、经济与生态协调等挑战。为应对这些问题，新疆需加强多层次合作、政策优化、区域协调与绿色发展，促进民族团结和社会稳定，实现经济发展与生态保护并行，从而确保在“一带一路”框架下的稳定与繁荣。
“一带一路”建设；新疆自治区；区域互联；产业多元；跨境贸易
Copyright (c) 2024 正焮 刘 (Author) https://creativecommons.org/licenses/by/4.0
融媒体背景下敦煌旅游形象的构建和提升研究——以敦煌非遗艺术为依托
敦煌，别名阳关，位于河西走廊的西端，是一座国家历史文化名城，拥有着丰富的历史文化遗产。论文以敦煌的非物质文化遗产为研究对象，在融媒体的时代背景下，针对敦煌旅游的现状和发展过程中遇到的一系列问题，思考敦煌非遗艺术在敦煌旅游形象构建和提升中的作用，最后提出敦煌旅游形象的构建和提升策略。本文的研究内容为在信息技术不断更迭、媒体不断融合发展的时代背景下，分析敦煌旅游业的现状，剖析发展过程中的困境和挑战。在对敦煌非遗的研究基础上，探讨敦煌非遗艺术对敦煌旅游业发展的意义。在融媒体的时代背景下，思考敦煌如何依托非遗艺术实现旅游形象的提升，并且提出相关策略。
Copyright (c) 2024 建依 鲁 (Author) https://creativecommons.org/licenses/by/4.0
从声音到产业：播客内容生产与商业模式的生态创新
近年来，播客作为新兴音频媒介快速崛起，但现有研究对其商业模式与内容生产的互动机制关注不足。本文基于数字商业生态理论，采用案例研究法，聚焦中国播客平台喜马拉雅和小宇宙，从网络效应、协作创新和平台角色三个维度分析其生态创新特征。研究发现，网络效应通过用户增长扩大传播广度与效率，协作创新推动多方内容共创增强生态活力，平台角色通过资源整合促进商业模式多元化与可持续性。本文拓展了数字商业生态理论在播客领域的应用，为新兴音频媒介研究提供了新视角，并为优化用户体验、增强创作者参与及商业模式构建提供实践启示。
Copyright (c) 2024 萱 冀 (Author) https://creativecommons.org/licenses/by/4.0
罗兰·巴尔特的叙事三层次理论框架下中日韩三国底层人物向电影异同及文化原因分析
本研究以中日韩底层电影为对象，旨在探究其异同及背后的社会文化内涵。本文首先对“底层”与“底层人物”概念进行界定，并以罗兰·巴尔特的叙事作品三层次理论为依据，从功能层、行动层、叙述层三方面对比三国底层电影。功能层方面，三国电影背景设定与情节内容各有特点与偏好，如中国多关注改革开放后的社会问题，日本侧重于个体内心探索，韩国注重家庭结构与社会阶层冲突。行动层方面，三国电影在背景设定与人物形象塑造、内容情节与人物形象塑造关系上既有共性也存在差异，均反映底层人物生活现状与社会问题。叙述层方面，三国电影叙事手法和结构各具特色，中国多线性叙事，日本侧重细腻情感描绘，韩国偏好非线性叙事结合黑色幽默。在此基础上，本文从社会文化因素入手，研究分析中日韩三国底层电影叙事异同的成因。受儒家家庭观影响，三国底层电影在家庭伦理、父权思想等方面有相似性且在现代语境下有所批判反思。在“一带一路”文化政策的背景下，中日韩底层电影中的社会文化议题和叙事特征为促进文化交流提供了重要契机。这些电影反映的社会文化问题，有助于增进中日韩三国之间的相互理解与文化共鸣，推动更加多元和包容的文化合作。
罗兰·巴尔特；叙事三层次理论；中日韩；底层电影；家庭观
Copyright (c) 2024 琪雅 洪, 定俏 敖, 凯竹 杨, 知书 赵, 烨曦 陈 (Author) https://creativecommons.org/licenses/by/4.0
人工智能时代情感交互的应用及其伦理反思——以乙女游戏为例
随着人工智能技术的飞速发展，情感交互作为 AI 领域的一个重要分支，正逐渐渗透到人们的日常生活中，在娱乐产业中也展现出前所未有的魅力。乙女游戏，作为一种以女性玩家为主角，与游戏内虚拟角色建立深厚情感联系的游戏类型，成为探索 AI 情感交互的典型案例。本文采取“案例分析法”，以“光与夜之恋”为例，分析乙女游戏中的情感计算具体应用，探讨情感交互带来的积极影响和其面临的伦理困境，并提出相关的反思与建议。
情感计算；人工智能；伦理；乙女游戏；情感交互
Copyright (c) 2024 雨苗 张 (Author) https://creativecommons.org/licenses/by/4.0
浅谈敦煌乐舞壁画中造型在舞蹈中的运用——以《飞天》为例
敦煌壁画作为中国古代艺术的杰出代表之一，对于研究古代舞蹈和文化具有重要意义。本文通过对敦煌乐舞壁画中造型的分析，探讨了其在《飞天》舞蹈作品中的运用。文章从敦煌乐舞壁画入手引出了其与舞蹈动作的联系。结合《飞天》舞蹈作品探讨了敦煌壁画中飞天的动态造型艺术，以及其构图运用和情感表达。本文旨在揭示敦煌艺术在舞蹈表现和文化传承方面的重要意义，为古代舞蹈与文化研究提供新的视角和思路。
Copyright (c) 2024 源昕 叶 (Author) https://creativecommons.org/licenses/by/4.0
当今不少人对不同文化有过度崇拜或歧视的现象，“文明优劣论”在如今仍被鼓吹。我们采用桌面研究的方法进行研究，最终得到结论：文明无优劣之分，我们当求同存异。
Copyright (c) 2024 品森 曾, 瑞阳 游 (Author) https://creativecommons.org/licenses/by/4.0
后疫情时代河南大学生英语课堂口语焦虑：成因与启示
随着英语口语重要性日益显现，大学生英语口语焦虑逐渐成为研究者关注点。本文旨在讨论后疫情时代背景下，教学方式由线上教学转变为线下教学后，生源地为河南的大学生的英语课堂口语焦虑，并尝试为改善焦虑提供建议。本研究采取问卷调查和访谈相结合的方式，通过 SPSS26.0 软件进行数据分析，发现焦虑主要来自高中英语学习影响、周边环境影响、教学方式转变等，需要通过高中、教师、个人、同学共同努力去解决。
Copyright (c) 2024 策今 申 (Author) https://creativecommons.org/licenses/by/4.0
框架理论视角下成都大运会“首金”媒体报道比较研究
框架理论是一种分析、理解和解释人类行为、社会现象与文化产品的有力工具，它通过将复杂的信息和问题拆解为更小、更易于管理的片段，有助于我们深入探究其内在逻辑和关键要素。在历届综合性运动会中，“首金”赛事始终是媒体关注的热点，媒体记者需具备预见性与判断力，以确定最可能产生首金的赛事。本研究运用框架理论构建了“首金”报道的框架，并通过对比分析与杭州亚运会在报道数量、体裁、版面分配和内容等方面的差异，对成都大运会“首金”报道进行了深入探究。文章提出，国内主流媒体在对两个首金报道的框架上有一致性，但大运会首金报道更具预见性，可见准备充足。研究结果显示，媒体在报道新闻时选择什么样的新闻框架，与办报方针、市场定位、受众群体等密切相关。
框架理论；成都大运会；媒体报道；比较研究
Copyright (c) 2024 茜 罗 (Author) https://creativecommons.org/licenses/by/4.0
AIGC 微短剧在新媒体平台上的传播效果研究——以《山海奇镜之劈波斩浪》为例
本文以 AIGC 最新生成的微短剧《山海奇镜之劈波斩浪》为研究对象，探讨其在新媒体平台上的传播效果及受众反应。分析了剧集的内容特点、制作技术和观众反馈，揭示了 AIGC技术在创作和表达方面的潜力与挑战。研究发现，该剧在视觉效果和创新性方面表现突出，但观众对 AI 生成内容的接受度和文化认同感仍然存在挑战。本文结合传播学、新媒体技术与文化研究的视角，深入分析了 AIGC 生成内容的传播效果。最后，展望了如何进一步改善 AIGC 生成内容的传播效果，加强与观众情感的连接，为媒体数字内容 AIGC 的发展提出了建议。
AIGC；传播效果；《山海奇镜之劈波斩浪》；微短剧
Copyright (c) 2024 琪雅 洪 (Author) https://creativecommons.org/licenses/by/4.0
抖音短视频对年轻人在现实中人际关系的影响
在新媒体与信息时代的世界里，年轻人不仅在现实里生活而且还受到短视频的熏陶，渐渐迷失在自我沉醉的空虚中。人和人的交流变得没有实际发展意义而只是单方面的诠释，每个人的心理性格也在潜移默化形成收敛的对话和自以为是。以“我”开展社交活动不是深入理解获得稳固的关系。受到认知落差和信息获取的影响，每个人不再具有普遍性从而会使个性占据主导，年轻人开始对内认知不再向外渴望，生活状态会有低迷的倾向。人们逐渐与现实社会脱节，自身情绪主导生活。
Copyright (c) 2024 煜凡 高 (Author) https://creativecommons.org/licenses/by/4.0