bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Mobility: An Analysis Within the 'Structure and Agency' Framework
Authors: Zhao Xiaoxi
Published: February 2025

This study explores mobility, power, and politics through the framework of structure and agency theory. Mobility refers to the ability of individuals or groups to move within spatial, social, and economic structures. It includes both physical mobilitysuch as migration or geographic relocationand social mobility, which involves shifts in social status or economic standing. However, mobility is often constrained by structure, which typically includes political institutions, economic systems, social norms, and other factors that limit an individuals ability to move or migrate, creating dilemmas such as involuntary immobility. Faced with these limitations, individuals rely on agencytheir capacity to act independently and make choices either within or against these structural constraints. This research employs a qualitative approach, analyzing case studies of individuals navigating mobility restrictions in various socio-political contexts. This analysis underscores the conflict between systemic limitations and personal autonomy. The results indicate that, although structural factors considerably hinder mobility, individual agency is essential in contesting and reshaping these obstacles.
The Significance Construction of Film and Television Works on Feminist Values under New Media Background
Authors: Hu Mingyan
Published: February 2025

Under the current digital age, the rapid development of new media has led to the emergence of new value concepts of feminism in film and television works, but relevant research is still insufficient. Although the image of women in new media environments is becoming increasingly diverse, and emerging platforms such as social media provide them with dissemination channels, the in-depth analysis of feminist values is still limited. Therefore, this paper aims to explore the meaning construction of feminist values in new media film and television works, focusing on the expression of feminist values in works and their impact on social culture. The paper adopts a literature review method and combines specific film and television work cases to analyze the meaning construction of feminist values in new media film and television works. . The research results reveal how new media platforms use works to build feminist discourse power, and point out the gender stereotypes and cultural barriers that exist, revealing their impact on the shaping of female characters and feminist discourse power. New media film and television works play an important role in the meaning construction of feminist values.
Facilitating the Acquisition of Second Language Reading Strategies with the Explicit Reading Strategy Training and the Reading Portfolio Approach
Authors: Yao Linling
Published: February 2025

This essay explores various reading strategies and their corresponding categories, such as the three-phase reading strategies that enhance comprehension at different stages of reading, as well as cognitive and metacognitive strategies. It emphasizes the importance of correctly applying these strategies for effective reading comprehension. It highlights how diverse strategies enable readers to understand a wide range of texts. The study also underscores the value of using a portfolio approach to track students' reading progress, allowing them to document their reading journey, identify gains, and note questions. This method fosters greater confidence and efficiency in the use of reading strategies. The essay addresses the challenges faced by primary school students in Shenzhen, where many struggles to apply reading strategies effectively. By equipping students with knowledge of both targeted reading strategies and a portfolio-based reading approach, the study aims to enhance their ability to become successful L2 English readers. This integrated approach is expected to significantly improve their reading skills and overall language development.
The Path of Constructing the Supported Decision-Making System in the Interaction Between International and Domestic Law
Authors: Guo Xiaoxuan
Published: February 2025

This article focuses on the path of constructing the supported decision-making (SDM) system in the interaction between international and domestic law, exploring the role of Article 12 of the Convention on the Rights of Persons with Disabilities (CRPD) in promoting this system globally. The article reviews the theoretical foundation of the supported decision-making system and analyzes the legislative practices in countries such as Germany, Japan, and Canada. It summarizes the interactive model where international law, through soft norms and supervision mechanisms, promotes domestic legal reforms. Article 12 of the CRPD, centered on equal legal capacity and assistance and support, provides guidance for contracting states in system innovation, advancing legislation through concluding observations and compliance monitoring, and promoting the transformation from the traditional guardianship system to the supported decision-making system. This article argues that the promotion of the supported decision-making system not only reflects international laws guiding role in domestic law but also demonstrates how domestic practices feedback into and enrich the content of international law. This bidirectional interaction mechanism has laid a solid foundation for achieving the global goal of protecting the rights of persons with disabilities, providing both theoretical justification and practical support for the expansion of the supported decision-making system into other areas of rights protection.
Exploration of Digitalization in Educational Scenarios in the Context of the Metaverse
Authors: Wang Jinhang , Zhao Qianyuan , Tang Xiangjun
Published: February 2025

This article explores the digital transformation of educational environments in relation to the metaverse. As an emerging phase in the evolution of the internet, the metaverse amalgamates diverse information technologies to establish a digital realm that harmoniously integrates virtual and physical realities. The educational metaverse, which is predicated on these technologies, exerts a considerable impact on conventional educational environments. Its implementation in education is anticipated to redefine critical components such as instructional resources, learning communities, educational contexts, and technological support, thereby offering learners an immersive and authentic three-dimensional educational experience. The metaverse serves as a virtual milieu that enhances pedagogical practices, presenting innovative avenues for knowledge acquisition and skill enhancement. This article explores the creation of an open space that reconciles the virtual and the real within the educational metaverse, examining its spatial manifestations across material, spiritual, and practical dimensions. Additionally, it addresses the shift from traditional physical spaces to virtual digital environments enabled by technological advancements. The article further evaluates the value and significance of the educational metaverse concerning technological empowerment and spatial construction in the realm of education.
A Review of Liger and Tigon Based on Posthuman Bodies Theory
Authors: Wang Wendi
Published: February 2025

Human society is moving toward a posthuman era as theories by scholars such as Rosi Braidotti, Donna Haraway, and Keith Ansell Pearson gain attention. Meanwhile, hybrid creatures such as Ligers and Tigons captivate public interest. However, no study has connected these hybrids to posthuman body theories. This literature review examines how Liger and Tigon articulate or challenge these theories, reflecting humanity's transition to the posthuman era. The research argues that these human-engineered hybrids break species binaries yet reflect human exceptionalism, as they serve human interests and demonstrate humanitys control over nature. However, while Liger and Tigon support theories of biotechnological vitalism and human enhancement, their genetic defects and health issues reveal the limitations of human intervention. Liger and Tigon indicate that the posthuman vision of using biotechnology to enhance the body has limitations. Although biotechnology can overcome biological constraints to a certain extent, it does not constantly enhance the body but can even hurt it. Additionally, although these hybrids blur the boundaries between nature and culture, public attitudes towards them reflect the persistence of the nature-culture binary. People still regard Liger and Tigon as human property despite their representation of the interaction between humans and animals in shaping identities, which contradicts Haraway's theory of equality between humans and companion species. Ultimately, this review argues that while Liger and Tigon break species boundaries, they also highlight human exceptionalism, suggesting that the collapse of the species binary does not necessarily lead to equal relationships between humans and other creatures.
The Obstacles and Paths of Family Education Concepts and Cognition to Promote the Development of Digital Education
Authors: Duan Chuxuan
Published: February 2025

The transformative growth of digital education has highlighted its potential to revolutionize learning, yet it faces notable challenges, particularly concerning the role of family education. Families are critical in supporting students in digital learning, but generational gaps, cultural attitudes, and cognitive lags often hinder the effective adoption of digital tools. This article explores the intersection of family education concepts and digital learning, emphasizing the obstacles families face. Through a comprehensive analysis, the study identifies key barriers, including extreme attitudes toward digital education and the cultural and generational gaps that limit parental engagement. It also evaluates the pivotal role of family involvement in aligning with modern educational demands. Based on these findings, the article proposes actionable strategies: increasing family awareness through training, fostering home-school collaboration, encouraging balanced use of traditional and digital methods, and developing policies that address socioeconomic barriers. These approaches aim to bridge gaps in family education and promote equitable digital learning opportunities. By integrating family education practices with the changing requirements of digital education, this study emphasizes the need for family involvement in building a supportive and inclusive educational ecosystem.
Research on the Protection of Minority Shareholders' Rights in the Context of Major Shareholders' Expropriation: A Case Study of Pangda Group
Authors: Wang Qingwen
Published: February 2025

In the context of the rapid development of the capital market and the frequent occurrence of expropriation incidents by major shareholders, this paper analyzes the process and methods by which the major shareholder of Pangda Group expropriates the listed company. Using event study methodology, the excess returns and cumulative excess returns are calculated to assess the negative impact of major shareholders' expropriation behavior on the capital market. The paper also proposes a series of suggestions for the protection of minority shareholders' rights under the expropriation of major shareholders, including the identification of warning signals and strengthening supervision, improving the collective litigation system, and introducing institutional investors to assist minority shareholders in participating in corporate governance and defending their rights. These suggestions aim to provide guidance for the protection of minority shareholders' interests in listed companies and contribute to the maintenance of order and healthy development of the capital market.
The Relationship Between CS and Profitability: Evidence on Chinese List Firms
Authors: Chen Xiyao
Published: February 2025

One of the central questions that continues to be discussed in the financial sector is how a company's capital structure (CS) impacts its profitability .In China, with the gradual improvement of the market economic system and capital markets development, this relationship is particularly concerned .This study analyses the correlation between metrics such as long- and short-term debt ratio (LSDR), gearing ratio (GR), total assets (TA), current ratio (CR), and return on total assets (ROA) to understand how a company's financial performance is affected by the allocation of its CS. In this regard, many studies are based on a particular industry, and the results differ. This experiment examines the data of 100 companies from different industries from 2010-2021 and provides strategic recommendations for firms to optimize their CS by providing data analysis and regression models. Multicollinearity Problem was also tested with VIF value, together with self-related issue was examined by Durbin Watson values. This research will help managers to optimize the current assets and debt structure, balance financing methods, and monitor financial indicators to enhance debt repayment and profitability.
Post-Pandemic Growth of E-Commerce Platforms: A Case Study on Taobaos Strategic Success in China
Authors: Chen Yayuan , Xue Anqi , Yao Yirui , Yin Haoshuang
Published: February 2025

This study analyzes the reasons for the continued growth of the Taobao platform after the pandemic to reveal the key factors that enable e-commerce platforms to maintain competitiveness in a dynamic market environment. Through a case study of Taobao, it is found that its success not only relies on innovative marketing methods such as the Double Eleven shopping festival and live streaming but also on efficient supply chain management and personalized user experience. This study points out that Taobao has built a strong market advantage through the interactivity of social e-commerce and the optimization of the supply chain, successfully meeting the demand of consumers for online shopping after the pandemic. This study provides valuable practical experience for other e-commerce platforms, emphasizing that focusing on user experience, adopting innovative promotional strategies, and optimizing supply chain management are effective ways to improve market performance. These findings are of great practical significance for the continued development of the e-commerce sector.
Observation of Sinosteel's Effective Ecologisation and the Direction of Green Metallurgy Development
Authors: Zhang Xin
Published: February 2025

The metallurgical industry raw material industrial sector, providing metal materials for all sectors of the national economy, is also the material basis of economic development, but its dependence on natural resources, consumption intensity, and has a greater impact on the quality of the environment, so the development of metallurgical industry ecology has become an important topic. The study examines Sinosteels practices in areas such as low-carbon mining, energy-efficient engineering, employee environmental training, and international cooperation, highlighting its efforts to promote industrial ecology. Key initiatives include the adoption of advanced technologies for waste heat recovery, hydrogen-rich carbon cycle processes, and digital solutions to optimize resource utilization and minimize emissions. Furthermore, this paper discusses the broader development direction of Chinas metallurgical industry, emphasizing low-carbon innovation, digital transformation, talent cultivation, and enhanced pollution management. By addressing systemic inefficiencies and fostering green practices, Sinosteel exemplifies the potential for metallurgical enterprises to achieve sustainable growth. The findings underscore the importance of integrating technological innovation, policy reforms, and corporate responsibility to ensure the industrys green transformation. This research offers valuable insights for global metallurgical enterprises aiming to balance economic growth with environmental preservation.
A Study on the Mechanisms for Promoting Pilot Reform Policies in Home and Community-Based Elderly Care Services
Authors: Xie Jun
Published: February 2025

China has launched pilot reform measures for community-based and home-based senior care services in recent years. This begs the question: what specific dissemination processes are involved in this pilot change and what logic of policy diffusion supports it? The pilot reform in home and community-based elder care services is the subject of a case study in this research. The results show that the national and local governments reciprocal relationships lead to the promotion of pilot initiatives. The central government prioritises the expansion of pilot coverage and improvement of service quality, while local governments, driven by dual incentives and symbolic evaluations, continuously learn and enhance public service quality. The conclusions of this study provide a perspective of central-local interactions for understanding policy diffusion and constructing an analytical framework for the motivations and mechanisms at different stages of policy piloting. It also offers practical insights for improving the quality of public services.
Research on the Causes of the International Financial Crisis and Its Impact on the Stock Market: An Analysis Based on the Subprime Crisis
Authors: Chen Mo
Published: February 2025

The subprime crisis is widely recognized as the most extensive and impactful financial crisis since the 21st century. The stock market at that time was the most affected area. This article uses the PEST analysis framework, examining the subprime crisis from political, economic, social, and technological perspectives to understand how the stock market was affected and what were the main causes. Based on the study, it can be concluded that the main political cause of the subprime crisis was the Federal Reserves missteps in policy. The primary economic causes were the lowering of borrowing thresholds and the bursting of the housing bubble. Lack of risk awareness among American investors was a significant social factor contributing to the crisis. The technical shortcomings of subprime financial products were also a critical factor. The impact of the subprime crisis was multi-faceted. Politically, it led to a decline in social credibility for the US government. Economically, it resulted in the rise of economic protectionism and catch-up economies. Socially, it contributed to high youth unemployment and increased essential spending for low-income families. Technologically, the subprime crisis accelerated the development of the fourth industrial revolution.
Feasibility of Quantitative Theory in ESG Investment Field
Authors: Xu Chen
Published: February 2025

Environment (E), society (S), and governance (G) are the key drivers for corporate sustainability in the modern world. To better implement ESG investment standards and control risks, quantitative methods should be introduced to practice the ESG investment philosophy. This article studies that sustainable development is a development concept put forward by human beings today after reflection and looking forward to the future. ESG has become a factor to be evaluated together with economic and financial indicators in corporate management and financial investment. By tracing the development history of ESG and analyzing the different focuses of the globally recognized ESG evaluation systems nowadays, the non-financial information of enterprises regarding ESG is used, and the quantitative methods in the field of financial investment are applied to develop relevant data platforms. Research shows that by quantifying the data in the three dimensions related to ESG, the data will be clearer and more accurate, enabling investors to maximize their returns under the condition that ESG risks are controllable.
ESG Rating System in Sustainable Finance: Challenges and Suggestions for Improvement
Authors: Wang Yusha
Published: February 2025

As global attention to sustainable development intensifies, Environmental, Social, and Governance (ESG) criteria have become vital indicators for assessing corporate non-financial performance. Nonetheless, current ESG rating systems encounter several challenges, including lack of standardization, insufficient data transparency, and market dependence on rating outcomes, which impede their widespread application in investment decisions. This paper systematically reviews the construction logic and practical applications of existing ESG rating systems, providing an in-depth analysis of the disparities among major rating agencies concerning indicator selection, weight allocation, and data sources. By elucidating the impact of these disparities on rating accuracy and consistency, the paper proposes a series of improvement recommendations, such as the standardization of global rating criteria, enhancement of data transparency, and the utilization of emerging technologies to optimize the rating process. This research aims to offer theoretical foundations and practical insights for the enhancement of ESG rating systems, facilitating a more precise assessment of corporate sustainability performance by investors. The ultimate objective is to advance the global green economy transition and provide support to policymakers for further refinement of regulatory frameworks.
Impact of Financial Literacy on Personal Pension Investment
Authors: Wang Songyong
Published: February 2025

In the context of China's intensifying aging population, the economic security of the elderly has emerged as a pivotal concern. As of 2023, China's elderly population aged 60 and over has reached 297 million, accounting for 21.1% of the total population. Against this detailed background, the purpose of this essay is to investigate the status, problems, and economic impact mechanism of personal pension consumer risk assessment in China. To achieve this, a quantitative analysis was conducted using a large-scale socioeconomic survey, which collected data on age, gender, educational background, risk appetite, and pension contribution rates. The method employed linear regression models to examine the relationship between risk-taking ability and pension contribution rates, as well as the influence of age on consumption willingness. The results indicate that consumers' risk-taking ability has a significant positive effect on their pension contribution rates, suggesting that individuals with higher risk tolerance tend to allocate a larger proportion of their income to pension savings. Furthermore, age was found to influence both risk preference and consumption behavior, with specific age groups exhibiting unique patterns. In conclusion, these findings provide valuable insights for policymakers and financial institutions to better design incentives and products that cater to the diverse needs of the aging population.
Exploring the Development and Optimization Strategies for the Medical Security System
Authors: Tian Wendi
Published: February 2025

The world today is becoming increasingly degraded, corrupt and inefficient. This degradation has spread to all areas of society, and the health system is no exception. It is under this background that this article is created. The significance of this paper is to review the development history of human medical security system and find the direction for the future. The topic of this paper is the development and reform of the medical security system and what experience can be gained from it. The research method is literature analysis. The aim of this study is to show the disadvantages in the medical security system. The system should improve the quantity, quality, and pay of medical staff to ensure better healthcare services for the public. To maintain integrity in the medical field, it is crucial to strengthen inspection departments and punish corruption severely. By improving the treatment of staff and implementing stricter codes of conduct, the medical security system can foster a more professional and ethical work environment in healthcare. To streamline operations and enhance efficiency, redundant institutions should be eliminated, and the functions of each remaining entity should be clearly defined.
A Systematic Literature Review of Research on Data Finance in China
Authors: Yan Haiqing
Published: February 2025

With the rapid development of the internet, the digital economy has made significant progress, and data has become a new type of production factor. Academic achievements related to data fiscal policy have also been increasingly enriched. This paper systematically reviews the major achievements in the field of data fiscal policy research in China. It focuses on the definition, significance, and value of data fiscal policy, as well as implementation measures. The paper summarizes the different definitions of the core concepts of data elements and data fiscal policy by scholars both at home and abroad, expounds on the theoretical foundations of data fiscal policy in terms of economic development, resource allocation, and fiscal revenue, and analyzes the important significance of data fiscal policy from the perspectives of economic transformation, fiscal revenue, and data element markets. The paper highlights its role in promoting high-quality development of the digital economy, enhancing government fiscal capacity, and optimizing resource allocation. Furthermore, it summarizes scholars specific suggestions regarding the implementation of data fiscal policy, including the design of data taxation systems, public data operation models, and lessons from international experiences. Based on the current state of research, this paper also analyzes and summarizes existing gaps in research and provides directions and recommendations for future studies on data fiscal policy.
Analysis of the Impact of Enterprise Digital-Intelligent Transformation on Audit Fees
Authors: Xiong Ledi
Published: February 2025

In todays digital era, enterprises are accelerating their digital-intelligent transformation processes to enhance competitiveness and operational efficiency. This paper employs theoretical analysis and case studies to examine the specific impact of digital-intelligent transformation on audit fees. The findings reveal that such transformation can reduce audit fees by improving information transparency, optimizing business processes, and mitigating audit risks. Using China Mobile and Haier Smart Home as examples, the study identifies three mechanisms through which different transformation measures affect audit fees: efficiency enhancement and burden reduction, quality improvement and empowerment, and precise risk prevention and control. These findings offer new insights into cost reduction and efficiency optimization for enterprises, helping to streamline cost structures and providing valuable guidance for the audit industrys transformation and upgrade in the digital-intelligent era.
Research on Project Management Based on PPP Model
Authors: Zhang Huan
Published: February 2025

With the continuous development of the global economy, the public-private partnership (PPP) model is increasingly used in the field of project management. Through in-depth cooperation between the government and social capital, the PPP model achieves optimal allocation of resources and reasonable sharing of risks, brings new solutions to infrastructure construction and the improvement of social public services, and achieves a win-win situation. This article analyzes the main characteristics of the PPP model through the literature review method, discusses the main advantages of PPP project management, focuses on the existing problems of PPP project management, and proposes specific solutions to the problems to help project managers carry out projects under the PPP model. Scientific and efficient project management provides theoretical support and practical guidance to ensure that enterprises maximize economic benefits, improve project quality, and promote the healthy and sustainable development of the PPP model in more fields.
Exploring the Development of Canadas Smart Healthcare System in the Digital Era
Authors: Huang Yitian
Published: February 2025

In the digital era, the need for a robust and efficient healthcare system is paramount, particularly for developed countries like Canada. This paper explores the feasibility and potential benefits of integrating smart healthcare solutions into the Canadian healthcare system to address its current shortcomings. Despite Canadas comprehensive healthcare services, issues such as long waiting times, a shortage of medical professionals, and insufficient coverage in remote areas persist. The research utilizes a combination of literature review and case study methods to analyze existing problems and the impact of smart technologies in healthcare. By proposing the implementation of intelligent triage systems, a unified national electronic health record (EHR), and extensive telemedicine services, this study aims to enhance healthcare accessibility, improve service delivery, and increase overall system efficiency. The anticipated outcome is a more responsive healthcare system that can better meet the needs of Canadas diverse population. The findings will contribute to ongoing discussions and development strategies within Canadian healthcare policy circles.
The Applications of Quantitative Finance in the Market
Authors: He Zening
Published: February 2025

An investment decision has become an extensively complicated undertaking in the contemporary finance sphere, dotted by increased volatility, uncertainty, complexity, and ambiguity. Today, investors look beyond financial performance to encapsulate a companys Environmental Social and Governance (ESG) performance and the execution of its social responsibilities to impact society and the planet. The broadening of factors of consideration in an investment decision has propagated an increase in the reliance on quantitative finance. Principally, quantitative finance is an amalgam of mathematical and computational tools that can be used to assess portfolio risks, optimize investment strategies, and increase market efficiency. Therefore, the current study seeks to explore how quantitative finance has transformed the market and is increasingly being leveraged to engender greater returns on investment. Even though the models improve portfolio performance, they are often limited in predicting security performance during rare events such as financial crises. Therefore, there is a need to combine quantitative and qualitative approaches to circumvent the limitations of either model. The paper contributes to the existing body of knowledge by elucidating how quantitative finance can be used to navigate the changing financial market landscape.
Creating a New City Brand Through Social Media Platforms? The Case of Zibo
Authors: Yang Jikai
Published: February 2025

This paper examines city branding through the lens of new media, focusing on Zibo as a case study. It highlights how the rise of social media and the wanghong economy have reshaped city branding models. The discussion emphasizes the critical role social media plays in this process, illustrated through six components: value perception, value recognition, value description, value communication, value co-creation, and value addition. A conceptual framework is developed to elucidate the interconnections between social media, city branding, and value co-creation, while also contrasting traditional and contemporary branding approaches. The branding process is delineated in four stages: crafting value narratives centered on Zibos barbecue, enhancing value through city branding effects, fostering value co-creation for a new city brand, and establishing a tourism brand centered on barbecue. Additionally, the passage addresses the challenges faced by aging industrial cities, including imbalanced industrial structures and insufficient institutional policies. It proposes that these cities can capitalize on current trends by harnessing social media to construct their city brands, thereby enabling successful transformation and revitalization.
Analysis about the Impact on Financial Reports of Chinas Aviation Entities under the Climate-related Risks--An Example of Spring Airlines
Authors: Lin Yufei
Published: February 2025

Climate-related risks significantly impact business operations, including financial aspects. Governments and organizations have introduced different kinds of policies and regulations to inform entities to reduce emissions and disclose climate-related risks. Under these circumstances, carbon intensive industries, eg. aviation entities could be significantly affected. Meanwhile,investors and other skateboarders also need to understand the impact on entities financial status in order to make decisions. In China, government has set a goal of reaching peak carbon emissions in 2030 and carbon neutrality in 2060. The release of IFRS S2 could be a reference for China to establish its own climate-related disclosure regulations in the future. This paper focuses on the impact of climate-related risks to Chinas aviation entities ,using Spring Airline company as a case study. By referencing IFRS S2, the study analyzes the implications for financial reporting and discusses potential future developments in this area.
A Livable City Model Based on the Integration of AHP and Entropy Weight Method
Authors: Hu Hanyue
Published: February 2025

The livability of cities has been a major topic of concern in recent years. It aims to comprehensively evaluate the happiness index of urban residents from aspects such as economic development, social stability, and ecological environment. Therefore, to establish a livable city model with objective significance, the models indicator weights are obtained using principal component analysis, AHP, and entropy weight methods based on the indicator data of all prefecture-level cities in Sichuan Province.
The Influence of the Japanese Real Estate Bubble Economy on the Stability of the Financial System
Authors: Lin Ke
Published: February 2025

The financial stability is critical to sustaining economic growth and minimising the financial risks and losses. As a pillar industry of the national economy, the real estate sector has a significant place in economic activities. Japan experienced a real estate boom last century but then witnessed a real estate bubble economy in the 1980s. The bubble economy adversely affected Japanese financial stability and caused a financial crisis in Japan. Based on the literature review method, this paper collects and collates the previous literature on this topic. This essay firstly talked about the formation and burst of Japanese real estate bubble economy and then discussed the impacts of it on the financial stability. Result and conclusion: The study finds that, during the bubble period, the development of the real estate bubble economy adversely affected the financial systematic stability. Excessive credit expansion resulted in a large proportion of nonperforming mortgage loans and restricted the bank liquidity. Rising asset price increased the gap between the market value and fundamental value of the property and the bank witnessed a financial loss. These findings provide references and suggestions for maintaining the stability of financial system when the real estate bubble crisis erupt in the future. This enhances the ability of financial institutions and regulators to deal with financial risks.
Research on the History of Trademark Law Change and Trademark Attachment
Authors: Yang Zhenyu
Published: February 2025

Trademarks encapsulate a company's reputation as well as the quality of its products or services, serving as significant intangible assets The practice of "trademark climbing" not only severely harms the legitimate rights and interests of brand - owning companies and consumers but also disrupts the order the market economy and undermines the market environment of equitable competition. By referring to historical documents and typical cases, this article explores the significance and necessity of legal protection for trademarks. It is believes that the governments of various countries should expedite the improvement of the pertinent trademark laws to more effectively combat infringements, such as trademark ascending, and to foster the healthy development of the market economy following their research. Meanwhile, consumers, producers, and operators should increase their awareness of intellectual property rights and employ legal methods to protect their legitimate rights and interests in consumption, production, and operation activities.
Green Bond Regulations in the UK: Practice and Challenges
Authors: Liu Bing
Published: February 2025

This study explores the development and challenges of green bond regulations in the UK within the context of global sustainable finance. By conducting a qualitative analysis of policy papers, data reports and academic literature, the paper examines the regulatory architecture, market demand as well as the transparency manifested in the issuance of green bonds. The results spotlight remarkable accomplishments in the UK's green finance domain, which are propelled by policies, markets and technological advancements. Nevertheless, challenges like discrepant standards, transparency concerns and intense market competition have also come to the fore. In conclusion, the article pinpoints ways to mitigate the adverse effects of these shortcomings, thereby enhancing investor confidence and paving the way for sustainable growth.
Applications and Challenges of Warehouse Optimization Technology in E-commerce Platforms under the Background Big Data
Authors: Tang Jiayi
Published: February 2025

With the rapid growth of e-commerce, warehouse management has become a crucial component in ensuring operational efficiency and customer satisfaction. Integrating big data into e-commerce warehousing has significantly influenced logistics by providing valuable insights into consumer behavior, inventory turnover, and supply chain performance. Warehouses can make better use of space, get orders filled faster, and get more accurate information with the help of technologies like automated storage and retrieval systems (ASRS), inventory forecasting models, real-time tracking with the Internet of Things (IoT), and AI-driven order picking. However, the adoption of these optimization technologies is not without challenges. Successful implementation requires addressing issues related to data quality and integration, high initial costs, workforce adaptation, and data security. By addressing these obstacles, e-commerce platforms can leverage warehouse optimization to reduce costs, improve operational efficiency, and meet increasing consumer demands in a competitive market. This passage will focus on the applications of optimization technology in warehouses based on a big data background and the challenges it will face in the optimization process.
Research on Chinas Green Economic Policies and Sustainable Growth in the Digital Economy
Authors: Xue Bowen
Published: February 2025

China's rapid economic growth over the past four decades has come at a significant environmental cost, prompting the need for a shift toward sustainable development. This essay explores the integration of China's green economic policies with the digital economy as a pathway to achieving sustainable growth. By examining the historical context of China's environmental policies, the role of digital technologies in enhancing energy efficiency, and the challenges and opportunities in this transition, the essay argues that China's model offers valuable insights fo r other nations seeking to balance economic prosperity with environmental sustainability. Key policies such as carbon trading, renewable energy investments, and circular economy practices are analyzed, alongside the role of digital technologies like AI, IoT, and big data in optimizing resource use and reducing emissions. Despite challenges such as economic disparities, technological barriers, and policy enforcement gaps, China's innovative approach provides a promising blueprint for global sustainable development. The essay concludes that international cooperation, continued innovation, and scaling of green technologies are essential for realizing the full potential of China's green and digital economy.
Strategies for Big Data Empowered Supply Chain Synergy Upgrade
Authors: Zhang Daixu
Published: February 2025

In the context of global digitalization, digital technologies like big data are very important for improving the collaborative efficiency of supply chains. Big data technology has a big impact on the daily management behaviors of traditional supply chains and their enterprises. It also affects the production and operation models. Through continuous practice and innovation, it makes traditional fields and new technologies combine in an organic way. This can improve the overall efficiency of supply chains a lot. To make the digitalization and informatization of supply chains go faster, many enterprises are building and improving big data platforms. They try to improve collaborative efficiency by using digital empowerment. This paper uses the SWOT analysis method and chooses the supply chain of Build Your Dreams (BYD) as a case. It analyzes the problems that traditional enterprises face in supply chain collaboration. And it gives corresponding solutions. It aims to provide practical solutions for traditional enterprises during the transformation process. Through case analysis and strategic suggestions, this paper hopes to give new perspectives to supply chain managers. This can help them have more efficient collaboration and innovation in the process of digital transformation. So they can deal with the increasingly complex market environment and competitive pressure.
Pattern Recognition and Prediction
Authors: Chang Yaoyu , Wei Zeng Jun , Cao Qizhen
Published: February 2025

This paper presents a comprehensive approach to the challenges of vertex finding, track finding, and track fitting within particle physics experiments. The primary objective of vertex finding is to accurately determine the vertex location along the z-axis using the x, y, and z coordinates of detected hits. For track finding, we focus on identifying 20 distinct tracks by correctly combining five hits for each track, allowing for the determination of the tracks momentum components (px, py, pz). The transverse momentum pT is calculated as a function of the radius r of the circle on which the hits lie in the x-y plane. Finally, in the track fitting stage, a circular fit is performed on the five points of each track. The radius r and the residuals from the fit are used as features to train a machine learning model, specifically a multi-layer perceptron (MLP), to predict the true transverse momentum pT. The performance of this approach is evaluated by comparing the predicted and true transverse momenta, with the goal of achieving a tighter distribution and reduced standard deviation, indicative of improved predictive accuracy.
What Factors Influence the Price of Airbnb Listings in New York City?
Authors: Wang Haoran , Su Zejia , Yang Yang
Published: February 2025

This paper explores what factors influence the price of Airbnb listings in New York City. As a key participant in the short-term rental business, Airbnb contributes significantly to the local economy by providing a platform for connecting property owners and tourists. The purpose of this study is to improve our understanding of the ways in which these factors impact Airbnb listings profitability and to offer suggestions for the most effective pricing tactics. This study uses a publicly available dataset from Kaggle that contains details on Airbnb listings in New York City. This dataset includes information such as room type, location, neighborhood, cleanliness, availability of bedrooms and bathrooms, accommodation capacity, available days of the year, and the number of beds, along with feedback from guests about their stays. By conducting a thorough correlation analysis, the research examines how these different factors affect nightly prices. In addition, the research studies the relation between occupancy and price using Times Square as a center point, which is calculated by Haversine formula. The findings indicate a strong relationship between these factors and Airbnbs economic performance. According to the results, properties in prominent locations, with higher cleanliness ratings, more bedrooms and baths, bigger accommodation capacity, and more available days, tend to command higher costs and higher occupancy rates. This highlights the importance of these traits in making Airbnb rentals more profitable. Additionally, the study provides helpful advice to property owners on how to improve their listings. Hosts may considerably enhance room occupancy and total revenues by modifying parameters like as pricing, location, room type, and amenities in response to the findings. This study contributes to a better knowledge of short-term rental market dynamics and provides useful advice for optimizing economic returns in the Airbnb marketplace. correlation analysis; Haversine formula.
Cluster finder for 1D and 2D histogram data
Authors: Gong Xiwen , Zhou Zilin
Published: February 2025

Clustering is a fundamental unsupervised task in machine learning. It involves grouping a set of objects into distinct clusters based on their inherent properties. Clustering finds applications in various domains, such as image segmentation, customer segmentation, document categorization, anomaly detection, and social network analysis. In this paper, we investigate several clustering algorithms applied to 1D and 2D histogram data. In particular, we try the Center of Gravity, Gaussian Mixture Model, and Neural Network and conclude that in low-dimensional cases, simple methods can yield good performance.
Performance Shell Benchmark Correctness, Efficiency, and Beyond
Authors: Xu Yizhang
Published: February 2025

Shell script is pivotal in tackling diverse real-world issues such as COVID-19 analytics, NLP (Natural Language Processing), and data analysis. Yet, they can be prone to failure or inefficiency. This paper rigorously assesses the reliability and speed of these benchmark shell scripts. For verifying output integrity, this study leverage SHA-256 hashes and the diff utility for swift and accurate comparisons with the correct outputs. To measure performance, the time command is employed to capture and log execution times. Ultimately, our analysis reveals that 82/204 of the shell script outputs are accurate, demonstrating robust performance even under the demands of large-scale data processing.
Comparison of Image Enhancement Algorithms Based on Denoising and Edge Detection
Authors: Shi Keni
Published: February 2025

Image enhancement technology is crucial in many fields, including noise reduction and edge enhancement. This paper compares median filtering and Gaussian filtering for image denoising by practicing. Median filtering removes salt-and-pepper noise well and preserves edges, suitable for discrete noise and detail-critical scenarios like remote sensing and medical imaging. Gaussian filtering smoothes Gaussian and random noise but blurs edges, applicable for background noise reduction. For edge enhancement, Sobel and Laplace operators are contrasted. Sobel operator highlights directional edges, useful in dynamic and noisy scenarios like surveillance. Laplace operator globally sharpens multi-directional edges, sensitive to details but noise, often used in medical image boundary extraction. Their combination improves edge detection. This research provides a solid theoretical foundation for optimizing the application of image enhancement techniques, offering valuable insights and guidance for selecting appropriate image processing algorithms in diverse fields such as medical image processing, autonomous driving, and other advanced technological domains. Future studies could focus on adaptive denoising algorithms to meet diverse image processing needs.