bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Fed's Interest Rate Hike on RMB Exchange Rate: Based on Stepwise Regression Modelling
Authors: Lu Qinwen
Published: June 2024

In the late stage of the epidemic, the Federal Reserve raised interest rates several times in a row in response to domestic inflation, which had a significant impact on the international financial environment, as exemplified by the fluctuation of the RMB exchange rate. Although several worldwide and domestic scholars have used various models to study the relationship between them, there are no studies that have used linear regression models t to clarify how the two are connected. This study uses stepwise regression on the basis of linear regression to establish an optimal model for studying RMB exchange rate fluctuations and the Fed's monetary policy adjustment, which fills this research gap. It is found that Fed rate hikes cause the RMB exchange rate to decline., while the RMB exchange rate is also negatively affected by the seven-day repo rate in China's interbank market and the People's Bank of China's foreign exchange reserves. Therefore, this study concludes by recommending that investors, Chinese foreign trade firms and People’s bank of China take appropriate measures to minimize the impact of RMB depreciation in anticipation of the Fed's interest rate hike.
The Toxicity and Biological Functions of Statins During Treatments
Authors: Zhao Ziyi
Published: June 2024

Cardiovascular morbidity and mortality are reduced by statins, which are drugs that lower cholesterol and reduce LDL-c. Statins function by competitively blocking the primary rate-limiting enzyme in HMG-CoA reductase, inhibiting it so that no substrate can enter and no HMG-CoA can be converted to mevalonic acid. Statins are by far the mainstay of majority and minority prevention of atherosclerotic cardiovascular disease, but they have also been linked to a variety of side effects. Statin therapy should be discontinued because of muscle symptoms associated with it and the development of new-onset type 2 diabetes as a side effect of statins is a serious issue and the pathogenesis of it is still unclear. This paper focuses on the biological function of statins and their toxicity, i.e. the mechanisms responsible for the adverse effects. It is intended to inform the study of the mechanisms of toxicity episodes of statins. Some of the mechanisms of toxicity onset of statins cannot be determined at this time, various patient populations could be studied in future studies to explore the side effects of statins.
Review of Research Progress on Rubber Concrete
Authors: Lin Jian
Published: June 2024

As an environmentally friendly material, rubber concrete has attracted widespread attention from researchers around the world due to its lightweight, superior ductility, strong impact resistance, thermal insulation and sound insulation, especially in the utilization of waste tires. Produces significant economic and environmental value. In recent years, research on the mechanical properties of this material has been in-depth, revealing that although the replacement of traditional aggregates by rubber may lead to a decrease in the strength of concrete, scientific means, such as aggregate surface modification to enhance the bonding strength with the cement matrix, or adjust The ratio of water to cement in the mixture can effectively make up for this deficiency. In addition, the low water absorption and lightweight structure of rubber concrete itself complies with the application standards of lightweight aggregates, further confirming that converting waste rubber into building materials is not only feasible in theory, but also an effective strategy in practice.
Bibliometric Analysis of Historical Block Renewal Research at Home and Abroad based on the Scientific Knowledge Map
Authors: Li Qingyuan
Published: June 2024

The renewal of historical blocks plays an extremely important role in the process of urbanization. However, there are few studies focus on the time distribution of the relevant literature corresponding to the renewal of historical blocks and cannot provide a more cutting-edge opinion conclusion. Therefore, this study aims to explore the law of time distribution in the literature study the renewal of historical blocks. This paper uses the scientific knowledge mapping software CiteSpace to systematically visualize the scientific literature in the field of historical block renewal and its many related fields. To start with, the bibliometric analysis of historical block renewal is carried out. This paper makes a bibliometric analysis of the time distribution, keyword distribution, literature release time, mutation keywords, author density, author network, and other data. This paper finds that the literature in the field of historical district renewal in CSSCI and Peking University core journals has been studied more rapidly in the past decade than in previous years. The increase in the number of papers has increased sharply, and the research hotspots have focused on organic renewal and functional replacement. Among them, micro-renewal, place spirit, and industrial sites are the most concerned frontiers. Based on the above results, this paper summarizes the development trend of the main cutting-edge technologies of the renewal of historical blocks and puts forward relevant suggestions for the development of the renewal field of historical blocks in China.
Sports Injuries Support: Towards a Proposed Intervention Program for Soccer Training
Authors: Wang Bo
Published: June 2024

The aim of this study was to explore the relationship between university football students' experiences of sports injuries and rehabilitation support, and the effectiveness of rehabilitation support provided to this group. The study adopted a mixed research method combining quantitative and qualitative methods, and data were collected through questionnaires and semi-structured interviews. The study population consisted of 180 football students from Jiaqing College and Guangzhou Sports Institute. It was found that the students demonstrated high levels of knowledge, preparation, and application of sports injuries, as well as positive attitudes towards all aspects of rehabilitation support (including physical rehabilitation, psychological support, functional recovery, rehabilitation goals and social support). Correlation analyses with the correlation between sports injuries and rehabilitation support showed a significant positive correlation, emphasizing the importance of rehabilitation support in dealing with sports injuries.
Research on Social Participation Willingness and Path Optimization of Characteristic Towns from the Perspective of Rural Revitalization
Authors: Liu Yanan , Li Deyu
Published: June 2024

In the context of promoting new urbanization and supply-side structural reform in China, the establishment of characteristic towns has become an important starting point for local governments to implement the "rural revitalization strategy" and accelerate industrial agglomeration, so it is necessary to conduct systematic analysis and research on characteristic towns. As one of the 27 cities in the central area of the Yangtze River Delta, Wuhu has enjoyed the reputation of "Jiangdong Famous Town" and "Wuchu Resort" since ancient times. Based on the research of previous literature, this paper summarizes the development process of cultural and creative towns in China, focusing on the current situation of the public's cognition of Yingang Town, the willingness to participate in the construction of Yingang characteristic town, and the fit and satisfaction between the actual situation and expectations after participating in the characteristic town, which is of great significance for the construction of Yingang Yichuang characteristic town.
Investigating the Teaching Reform of the "Smart Logistics and Big Data Processing" Course in the Context of Artificial Intelligence
Authors: Qin Xinghong , Li Hainan , Wen Yue
Published: June 2024

This study explores the enhancement of the "Smart Logistics and Big Data Processing" course in the field of artificial intelligence. The aim is to cultivate skilled professionals who can effectively address upcoming challenges in the logistics sector. This study examines the restructuring of the "Smart Logistics and Big Data Processing" course in artificial intelligence to cultivate skilled professionals prepared to tackle forthcoming challenges in the logistics sector. The paragraph discusses the importance of preparation and training for educators and students, highlighting the necessity for teachers to master new technologies and innovative teaching methods, and for students to improve their technical skills by acquiring proficiency in new tools.  The study concludes by assessing the fulfillment of research objectives, which include updating course content and establishing an evaluation mechanism. Through the modernization of course content, the implementation of innovative teaching strategies, and the provision of sufficient preparation and training for both students and educators, significant progress has been observed in practical teaching. This study provides significant insights and practical knowledge for educational reform in the areas of smart logistics and big data processing, thus making a positive contribution to forthcoming educational advancements.
Preface: 2nd International Conference on Economy and Finance, Enterprise Reform and Marketing Research (EERMR 2024)
Authors: Constance Wendell , Zhou Jun
Published: June 2024

It is our great pleasure to welcome you to the 2024 2nd International Conference on Economy and Finance, Enterprise Reform and Marketing Research (EERMR 2024) which was held in Bangkok, Thailand during March 23-24, 2024. This conference is a forum that encompasses the most current knowledge in the fields of economy and finance, enterprise reform, business management, electronic commerce, and marketing research on a rapidly advancing multidiscipline in one conference.
The major goal and feature of EERMR 2024 is to bring together academic faculties, scientists, engineers, and industry researchers to exchange and share their experiences and research results, and discuss the practical challenges encountered and the solutions adopted. It is a golden opportunity for the students, researchers, and engineers to interact with the experts and specialists to get their advice or consultation on technical matters and even research strategies.
This proceeding presents a selection from papers submitted to the conference from universities, research institutes and industries. All the papers were subjected to peer-review by conference committee members and international reviewers. The papers selected depended on their quality and their relevancy to the conference.
EERMR 2024 Organizing Committees
Bangkok, Thailand
The Role of Human Resource Management in Sustainable Development
Authors: Liu Cheng
Published: June 2024

This paper discusses the role of human resource management (HRM) in sustainable development. With the increasing global attention to environmental, social and economic sustainability issues, human resource management (HRM), as one of the core functions within organisations, plays a crucial role in driving organisations to achieve the goal of sustainable development. The article firstly describes the core functions and concepts of HRM and analyses the needs of HRM for sustainable development strategies. Then, the role of HRM in sustainable development is explored in detail from the three dimensions of environmental sustainability, social sustainability and economic sustainability. Through case studies and discussion of challenges and strategies, this paper aims to provide theoretical support and practical guidance for the practice of HRM in sustainable development.
Reform Practice of Innovative Teaching Mode in the Course of Modern Food Detection Technology
Authors: Fang Yishan , Yang Peilin , Tan Congping , Gao Yingwei , Wang Xin
Published: June 2024

“Modern Food Testing Technology” is a highly distinctive and practical course in the training system of food related professional courses. This course has the characteristics of abstract concepts, strong practicality, wide range of disciplines, multiple and complex key theories. With the rapid development of food testing technology, the old traditional teaching mode is no longer suitable for the current teaching of this course. In order to enhance the teaching efficiency, improve the teaching environment, and assist students to achieve a greater mastery of the content of this course, it is extremely necessary to reform and practice this course. This paper will develop different teaching methods through innovative teaching mode to reform the practice of this course, aiming to improve the efficiency and quality of teaching activities of food detection technology, ensure the orderly development of food detection work, and cultivate more high-quality innovative and application-oriented talents.
Urbanization Impacts the Soaring Housing Price of Hangzhou During 2018-2022
Authors: Li Jiajun
Published: June 2024

This paper examines the reasons for the rapid increase in housing prices in Hangzhou between 2018 and 2022. As one of China's fast-growing cities, Hangzhou has experienced significant changes in its real estate market due to continued population growth and accelerated urbanization, especially driven by major events such as the G20 Summit and the Asian Games. Firstly, the improvement and expansion of the city's infrastructure, especially the development of Hangzhou's metro network, has increased the attractiveness and property values of specific areas. Second, the government's talent admission policies and the city's overall attractiveness led to a population surge, further pushing up housing demand. In addition, special events such as the G20 Summit and the Asian Games and the urban renewal programs they bring have stimulated housing prices to a certain extent. In response to these reasons, it is recommended that the government take multifaceted measures to control the excessive rise in housing prices, including strengthening the regulation of the real estate market, rationalizing the planning of urban development, and providing more affordable and rental housing. The Government has optimized its policies to meet the housing needs of different income groups so as to achieve long-term stability and healthy development of the real estate market.
The Influence of Neo-Confucian Theory on Southern Korean Economic Development: An In-depth Analysis of the Relationship between Neo-Confucian Culture and Southern Korean Economy
Authors: Huang Jiajun
Published: June 2024

This article assesses the influence of neo-Confucian theory in fuelling the South Korean economic development. Through an emphasis on the East Asian capitalist model of development encapsulating the interweaving of Confucian ethics and the (universally) revered Western capitalist tenets, this study directs attention to the role of cultural values in economic development. When juxtaposed with the Western model of development, the distinctiveness of the East Asian model of development resides in the fact that it interweaves the central tenets of Confucian ethics to the Western capitalist model of development, forming the basis of the Neo-Confucian theory. This study positions the interconnection between cultural values and economic growth within the divergence of academic scholarship, namely the ‘Confucian as an impediment’ and ‘Confucian as a stimulus’ strands of scholarship to equip with a comprehensive understanding of whether culture can function as an explanatory variable for South Korean economic development. The example of Korean chaebols enables readers to equip the knowledge that while culture performs a constitutive role in the South Korean economic model of development cannot serve as the sole factor for propelling the nation’s economic expansion. This study envisions bridging the widening gap in the dominant scholarship on the role of Confucianism in South Korean economic development by contending that Confucian ethics as the hegemonic ideology creates a favourable climate for the South Korean economic model to flourish.
The Strategies of Air Quality Improvement in Urban Governance: A Case Study of Beijing
Authors: Weng Ziyi , Zhang Jiayi , Zhao Xiaoyue
Published: June 2024

In recent years, the economy of China has a rapid development. Meanwhile, there are a few problems exposed that are harmful to human health, especially environmental problems and air pollution in Beijing are concerned by all citizens. Since 2013, under the guidance of national governance policy, the Beijing government has been paying high attention to dealing with air pollution and officially launched air pollution control activities. With the cooperation and joint efforts of government, enterprises and academic institutions, air governance has achieved remarkable results, which reduced the index of air pollutants in terms of PM2.5, sulfur dioxide, nitrogen dioxide, and PM10. This paper will summarize the core countermeasures including the policy effect launched by the government, and the promotion effect of shared transportation modes by enterprises. Based on the measurements taken by government and enterprises, this paper analyzes the effects of different strategies. In addition, the suggestions for air quality control will be presented.
Research on mechanical properties of metal rubber based on planar lattice design
Authors: Feng Zhipeng , Yang Fang , Fu Hailong , Wang Yue , Liu Jiaqi
Published: June 2024

Metal rubber is a common vibration is olation material. Because the arrangement of the internal spiral coil will affect the mechanical properties of the metal rubber, this paper draws on the crystal lattice theory in metallurgy, changes the mesoscopic arrangement of the spiral coil through the design of the two-dimensional blank plane lattice structure, and prepares three kinds of lattice structures, and optimizes the mass ratio of the three metal rubber lattice structures, so as to improve the average stiffness and energy dissipation coefficient of the metal rubber. The quasi-static compression experiments passed. The results show that the triangular lattice structure design can reflect the good average stiffness, and the square lattice structure design can obtain the maximum energy dissipation coefficient. The study confirms that the fabrication of metal rubber materials based on planar lattice design is an effective way to improve stiffness and energy dissipation.
An Analysis of the Digital Development of the Supply Chain
Authors: Li Yue
Published: June 2024

With the continuous and deepening application of digital technology, digitization has become a crucial driving force for business transformation and upgrading in the era of the digital economy. The study gives an analysis of digital development from the perspective of the supply chain. Research finding indicates that the application of a digitized supply chain can promote the visualization of information, enhance the quality of products, and strengthen the risk management capabilities and competitiveness of enterprises. The ongoing shift towards digital supply chains has been somewhat effective, but it has also brought to light several issues. These include low information accuracy and transparency, high pressure on inventory management, a lack of standardization, and difficulties in ensuring product quality. In response to these tough issues, the study suggests measures to encourage businesses to establish digitalized supply chain systems, prioritize data analysis and management optimization, and establish and standardize digitalization standards. These steps aim to improve operational efficiency and overall economic benefits for the supply chain for enterprises.
Integrating ARIMA and GA for Profit Maximization in Supermarket Pricing Strategy
Authors: Zhang Chenghao , Zhang Haoyang , Guo Yimiao
Published: June 2024

Supermarkets need to consider a variety of factors when making vegetable replenishment and pricing decisions to meet market demand while maximising revenue. In this paper, firstly, the descriptive statistics of weekday and non-workday sales data are carried out separately and regressed to illustrate the correlation between the pricing and sales volume of each category, secondly, the ARIMA time series prediction of cost and sales volume are carried out separately, and with the goal of maximising the economic benefits in the next 7 days, the final mark-up rate and the maximum revenue are obtained by substituting into the GA model under the optimal daily replenishment volume and pricing strategy.
Amazon’s Stock Trends Prediction based on ARIMA Model
Authors: Garner Stacy , Pan Yingxian , Shi Meijia
Published: June 2024

The rapid development of e-commerce in recent years has made stock market prediction a challenging yet important task for investors and traders. The ARIMA model has been extensively applied for forecasting in financial time series data. This study applied the ARIMA model to predict the Amazon stock price, utilizing historical stock price data from a period of a decade. The results of the analysis indicated that the ARIMA model can effectively predict short-term stock price movements with a certain level of accuracy. The model managed to encapsulate the predominant trend in the variations of Amazon’s stock prices, providing insights into potential future price movements. The predicted stock prices closely matched the actual prices, with a reasonable level of precision. Furthermore, the ARIMA model can be useful for investors and traders in making informed decisions. By utilizing the model’s predictions, investors can better assess the potential risks and returns associated with their investment strategies. It should be noted that the ARIMA model is not without its limitations. The model may not perform well during periods of structural changes or when there are significant events affecting the stock price. Besides, it can also be influenced by other factors such as policies, market sentiment and corporate fundamentals. In conclusion, the ARIMA model can assist in predicting short-term Amazon stock price movements, serving as a valuable tool for investors and traders. However, it is essential to integrate the model's forecasts with other pertinent information and analysis to form comprehensive investment decisions.
Analysis Of the Impact of ESG Performance on Enterprise Value
Authors: Li Zihe
Published: June 2024

Environment, Society, and Governance (ESG) are comprehensive business practice framework that requires companies to consider the environmental, social, and corporate governance structure while pursuing economic benefits. This concept has become an indispensable part of modern enterprise management and is of great significance for shaping the long-term value of the enterprise. In the field of corporate governance, ESG advocates for an efficient, transparent, and responsible management system to guide enterprise operations. Effective regulatory mechanisms, such as independent board members, improved audit procedures, and risk management strategies, are all necessary to ensure that stakeholders' rights and interests are respected and protected. In addition, companies should be committed to fighting corruption and ensuring that all stakeholders have a say in the decision-making process. ESG is an enterprise that profoundly changes business philosophy and behavior. It aims to seek a balance between economic value and social value, help enterprises better obtain and consolidate competitive advantages, promote enterprises to return to their heart and conscience, and achieve a higher level of management and profit creation. This paper analyzes the influence on the concept of corporate value and social value from three aspects of environmental protection, social responsibility fulfillment, and corporate governance, and puts forward ideas and suggestions based on the concept of sustainable development.
Customer Segmentation Based on Machine Learning Methods
Authors: Wang Zhiyue
Published: June 2024

In recent years, as times change, consumer behavior continues to change rapidly, and their preferences and consumer attitudes change with age and experience. In the generalization of the mass market, it is difficult to identify the needs and desires of customers through various promotional tools. Therefore, customer segmentation can be an option for marketers to offer preferential goods or services to customers. Segmentation can help the company to quickly identify the preferences of the customers and provide them with the desired goods. However, there are significant differences between customers, making it difficult for merchants to segment customers through simple attribute filtering. Fortunately, with the development of machine learning, machine learning-based customer segmentation methods have received a lot of attention from researchers. However, different machine learning methods have different characteristics and there are some differences in commercial applications. Therefore, this paper analyses the principles and performance of the algorithms to provide reference for researchers in related fields. Firstly, this paper introduces several common machines learning methods, including Logistic Regression, Decision Tree, Random Forest and AdaBoost, and then compares the effectiveness of these algorithms through experiments. Finally, this paper looks forward to future research directions.
The Analysis of Xu Yuanchong’s Translation Style
Authors: Huang Jing
Published: June 2024

This article analyzes the current research on translations by Xu Yuanchong, a literary translator with over sixty years of experience who has translated approximately sixty works, encompassing both literary pieces and translation theory. His translation theory, rooted in extensive translation practice, holds practical value and significant guiding relevance. This article examines Xu Yuanchong’s translation characteristics based on his linguistic perspective and features. Finally, through specific translation examples, the article discusses the application of the “three beauties” theory, highlighting its limitations and the existing gap between theory and practice.
Research on the Challenges and Countermeasures of Online Public Opinion under Generative Artificial Intelligence
Authors: Qiang Zhang
Published: June 2024

With the widespread application and sustained impact of AIGC (Artificial Intelligence Generated Content) technology, exemplified by Chat GPT, the ecology of online public opinion in the field of news communication is undergoing profound changes. The new characteristics of online public opinion, such as massive data, multimodal information, precise dissemination, content confusion, and efficient rate, present challenges including more complex information, emotional dissemination, intricate fields, and difficult judgment and analysis. To address these, responses can be formulated from macro, meso, and micro levels, including accelerating legislative standardization, identifying responsible entities, and enhancing personal literacy, thereby improving the governance capacity of public opinion.
Research on the Path of Digital Construction of Human Resource Management in Colleges and Universities in the Context of Digital Transformation
Authors: Yin Xiaoshuang , Liu Hongye , Kong Chuilong
Published: June 2024

With the in-depth promotion of digital transformation, the field of higher education also ushers in unprecedented changes. The digital construction of human resource management in colleges and universities can effectively improve the management effectiveness of colleges and universities, and then optimise the allocation of human resources in colleges and universities. In this regard, based on the background of digital transformation, this paper analyses the necessity of the digital construction of human resource management in colleges and universities, describes the direction of the digital change of human resource management in modern colleges and universities, and explores the path of digital construction of human resource management in colleges and universities, in order to provide more reference to the digital transformation of human resource management in colleges and universities.
Design of a Crossroad Traffic Light System
Authors: Zhang Zitai
Published: June 2024

Nowadays, the situation of traffic jams is gradually increasing, and the demand for intelligent traffic lights is increasing as well. This paper designs a crossroad traffic light based on sequential logic using NI Multisim 14.0 virtual simulation software. The design includes: using 555 timer to build a second pulse oscillator circuit which outputs clock signal. Using 74LS169 counting chip to build timing circuit. Set up state control with 74LS74D trigger. Using nixie tubes and 74LS47 decoder chips to build the timing display circuit. Finally, logic gate and LED lights are used to build the display circuit of traffic lights. Next, how to design intelligent traffic lights is discussed based on this design combined with image monitoring technology. The feedback bit of image processing technology is added to the designed circuit, so that the circuit can change the green light duration with the traffic flow, and the designed circuits are also becoming smarter.
Global Value Chains and Trade Patterns: A Comparative Analysis between Developed and Developing Countries
Authors: Sun Weihua
Published: June 2024

With the continuous deepening of economic globalization, the economic interconnections among countries worldwide are increasingly close, making it impossible for any country's development to exist in isolation. The degree of economic interdependence and permeation between countries continues to deepen. In recent years, with the reduction of transportation and communication costs, the "fragmented" production model has rapidly spread globally. More and more goods are no longer produced and sold by a single country but are completed through vertical division of labor cooperation among multiple countries, with each country undertaking different stages of product production. This production model has driven the formation and development of global value chains. The deepening of global value chains has made the mutual influence between international economic cycles increasingly apparent. However, with the rise of the "anti-globalization" sentiment and trade protectionism, especially against the backdrop of the COVID-19 pandemic sweeping the globe and sluggish world economic growth, the external environment facing China's participation in the global value chain division of labor has undergone profound changes. In this situation, how to effectively respond to various risk challenges to maintain the steady and sustainable development of the Chinese economy has become an urgent and important issue that needs to be addressed.
Review of Studies on Performance of Dowel Connections Loaded Perpendicular to Grain
Authors: Yang Xinxin
Published: June 2024

Wood as a sustainable building material demonstrates significant advantages in terms of environmental protection, economy and functionality. Studies showed that adding 1.0m3 of wood could absorb 1.0kg of carbon dioxide, produce 730kg of oxygen, and fix 270kg of carbon, which plays an important role in ecological environment protection. In addition, in addition, wood has good thermal insulation performance, can adjust indoor humidity, beneficial to human health.China's wooden structure architecture has a long history. As an important technology in China's traditional architecture, mortise and tenon connection technology constitutes an important part of Chinese traditional architectural heritage through the insertion of wood components. As a prefabricated building form, modern wood structure has a history of more than 100 years in developed countries. The main forms include heavy wood structure, light wood structure, square wood wood structure and wood mixed structure. In recent years, wood structure architecture has attracted wide attention in scientific research and application in China. Whether for new construction or large-scale reconstruction projects, wood structure buildings are widely adopted because of their design flexibility, high strength and aesthetics, as shown in Figure 1.1. Modern wood structure buildings show the advantages of energy conservation and environmental protection, good earthquake resistance, convenient construction and safety and comfort, and its development is fully in line with the national sustainable development strategy.
The Application of VaR Model in Open Fund Risk Management
Authors: Jia Saitao , Wang Pin
Published: June 2024

In modern society, facing a wide range of investment risks, the VaR model, as one of the most advanced risk management theories in the world, has been adopted by fund managers as a simple and scientifically effective risk management method. This article discusses the necessity of risk management for stock investment portfolio assets managed by fund managers, and elaborates on the efficiency and applicability of VaR model in stock investment portfolio risk management.
Digital Economy, Enterprise Financing and Innovation: A Quasi-natural Experiment of "Broadband China" Pilot Policy
Authors: Zhu Yan
Published: June 2024

Based on the digital economy and enterprise innovation, this paper uses the data of China's A-share listed companies from 2010 to 2021 to empirically test the influence of "Broadband China" and uses the multiphase DID model. The results show that the construction of "Broadband China" pilot cities significantly and steadily increased the level of enterprise innovation activities. Meanwhile, the mechanism test result verifies that the new development of digital economy can promote enterprise innovation output by easing the financing constraints. Further heterogeneity analysis shows that the innovation output activities of non-state-owned enterprises are more significantly affected by the development of digital economy, and the broadband China strategy mainly promotes gradual innovations, but has no significant impact on substantive innovations. The conclusions of this paper not only provide empirical support for promoting the construction of network infrastructure, but also enrich the research of digital economy.
Exploring the Path of Copyright Protection for Artificial Intelligence Products
Authors: Wang Weiyuan
Published: June 2024

Riding on the "east wind" of ChatGPT's explosion, the copyright issues involved in artificial intelligence products have once again become the focus of academic circles. At present, the number of artificial intelligence products is proliferating, and the lack of protection of artificial intelligence products under the copyright law has led to multiple risks such as untrue attribution of artificial intelligence products and irregular regulation of plagiarism of artificial intelligence products. The practical demand for copyright protection of artificial intelligence products needs urgent response from the legal level. As the logical starting point for granting copyright protection to artificial intelligence products, there are two kinds of differences in the determination of the originality of the products, namely the personality binding theory and the objective standard theory. From the perspectives of legislative spirit, copyright development trend and technical feasibility, it is justified, feasible and positively meaningful to adopt the latter to grant copyrightability to artificial intelligence products. Based on the evaluation of the value of the copyrightability of artificial intelligence products, the originality criterion is broken down into two major elements, namely, uniqueness and creativity, to build a factual judgment path for the copyrightability of artificial intelligence products, and then to realize the specific determination of the copyrightability of specific artificial intelligence products. This in turn gives rise to the dispute over the copyright ownership of artificial intelligence products. At this stage, allowing copyright rights and interests to be freely distributed among relevant subjects is an appropriate way to create the best benefits and maintain a balance of interests of all parties.
Empirical Analysis on the Factors Influencing Carbon Accounting Information Disclosure of Enterprises in a Low Carbon Economy
Authors: Chen Lihan
Published: June 2024

With the acceleration of global industrialization, energy consumption is increasing year by year, leading to an increasing carbon emission and becoming a key issue of concern for countries around the world. Based on the literature review and data collection at home and abroad, this paper makes a theoretical analysis of the impact of six factors on the level of carbon accounting information disclosure, namely, net return on equity, corporate solvency, basic earnings per share, years of listing, state-owned holding enterprises, and heavily polluting enterprises, and puts forward corresponding assumptions. Subsequently, through analysis and organization, this article selected 100 eligible listed companies in the Shanghai and Shenzhen A-share markets from 2019 to 2021 as the research subjects. The carbon accounting information disclosure index method was used to quantify the level of carbon accounting information disclosure as an explanatory variable, and six influencing factors were combined for empirical research. The following conclusion is drawn: Currently, the level of carbon accounting information disclosure of listed companies in China is average. Among them, the net return on equity, basic earnings per share, state-owned holding enterprises and heavily polluting enterprises are positively related to the level of carbon accounting information disclosure, while the asset liability ratio of enterprises and the number of years of listing are negatively related to the level of carbon accounting information disclosure. Finally, based on a combination of theoretical and empirical analysis, this article proposes relatively objective and feasible suggestions from the national, social, and corporate levels to improve the level of carbon accounting information disclosure by listed companies and help them achieve vigorous development in the future.
Gas Prices and Oil Prices under the Russia-Ukraine War Regression Analysis of Inflation
Authors: Liu Rundong
Published: June 2024

In the context of the Russia-Ukraine war, this paper analyzes the impact of the changes of oil prices and natural gas prices on the core inflation rate, inflation rate, CPI and other factors in different types of countries. This paper argues that the changes in oil and gas prices caused by the Russia-Ukraine war have a significant impact on the inflation of developed countries, while the impact on the core inflation rate and CPI is not significant.
The Fluctuation of the Digital Currency Share Price under the Expansion of the e-CNY Ecosystem
Authors: He Yusong
Published: June 2024

As our country’s legal digital currency, e-CNY will have a fundamental impact on social payment and lifestyle. We construct a Seasonal Autoregressive Integrated Moving Average model by using the closing price of digital currency index from August 5th, 2021 to April 6th, 2022. We show that e-CNY ecosystem expansion events notably improve market confidence in digital currencies, which reflect large deviations from actual value as the predicted value after three ecosystem expansion events. This paper provides a reference for promoting the consensus of legal digital currencies from the perspective of the monetary demand side.
Research on Data-driven Enterprise Credit Evaluation and Application
Authors: Sun Lan , Jiang Wenqi
Published: June 2024

Enterprise credit evaluation is an important indicator in the process of enterprise development, which has an important impact on enterprises' access to external financing and reputation. This paper fully considered the existing credit evaluation index system, combined with the data-driven environment, designed the enterprise credit evaluation index system with three dimensions of financial, social and moral; Secondly, the combination weighting method is used to design the weights and the VIKOR method is used for evaluation; Finally, a case illustrates the application effectiveness of the method.
Scenario-based Construction and Dissemination of Digital Memory
Authors: Chang Yuqi
Published: June 2024

In recent years, the number of APP "annual report" has surged and there is a trend of flooding, but NetEase Cloud Music "Annual Listening Report" has been become a household name, widely praised. In this paper, case analysis, semi-structured interview and text analysis are adopted to conduct in-depth interviews with 15 NetEase Cloud users. Based on the triple structure of "scene-symbol-ritual", the annual listening report of NetEase Cloud is analyzed, and it is found that NetEase Cloud constructs scenarioized digital memory from three dimensions: scene recall, symbol meaning and ritual resonance. It achieves brand communication while strengthening users' emotional identity, and achieves good communication effect. At the same time, it points out the potential problems of quantifying personal preference and data privacy infringement in the annual listening report.
Research on Technology Governance of ChatGPT from the Perspective of Tripartite Evolutionary Game
Authors: Rao Ruirui
Published: June 2024

With science and technology such as ChatGPT integrating into society, the standardization of technology governance becomes the key to consolidating government power, promoting enterprise development, and enhancing people’s livelihood and well-being. Based on a tripartite game model of government, enterprises, and consumers, this paper analyzes their interaction mechanism and evolutionary stability strategy through the dynamic evolutionary game. The results show that there is a stable strategy up against the high risk, that is, enterprises will “use” ChatGPT, consumers will “participate in” ChatGPT, and the government will “advocate” ChatGPT. When the risk is low, two stable strategies exist, in which enterprises still “use” ChatGPT, while the government and consumers have different choices under different strategies. The research results can be used for reference to standardize ChatGPT and promote technical governance.
Study on the Impact of Economic Growth Targets on the Return on Capital in China's Real Economy
Authors: Wang Zhichun
Published: June 2024

Economic growth is a common goal pursued by various countries and regions, and among various economic sectors, the real economy is the foundation of a country's economy and is directly related to productivity and the actual level of development of the national economy, while the return on capital is an important indicator of the development of the real economy and responds to the profitability of market players, and in the face of the current pressure of demand contraction, supply shock and expected weakening of China's economic development. This paper theoretically analyzes the mechanism of the impact of economic growth targets on the return on capital of the real economy and empirically examines it using panel data of 30 provinces, autonomous regions and municipalities directly under the central government in China over a total of 18 years from 2003 to 2020. It is found that the impact of economic growth targets on the return to capital in the real economy is inverted U-shaped in terms of national data during the examined period, i.e., the return to capital in the real economy increases and then decreases as the economic growth targets are continuously increased. The results of the heterogeneity test show that the economic growth target has different effects on the return to capital of the real economy in different regions, among which, the relationship between the change in economic growth target and the change in the return to capital of the real economy is consistent with the inverted U-shape in the central and western regions of China, but the relationship is not significant in the eastern regions of China. The results of the intermediate effect test show that the economic growth target affects the return to capital of the real economy through government intervention, and also affects the return to capital of the real economy through fiscal pressure and other mechanisms of action. The purpose of this paper is to investigate the impact of changes in economic growth targets on the return to capital of the real economy and its transmission mechanism, and the findings of the study can provide a reference for setting economic growth targets with full consideration of the need for long-term sustainable development, focusing on innovation and avoiding over-reliance on short-term benefits and financial markets.
Study of conceptual metaphor in high school English Textbooks: A Case Study of People’s Education Edition
Authors: Yang Junjiao
Published: June 2024

Since Lakoff and Johnson proposed the Conceptual Metaphor Theory, metaphor has gradually been studied as a way of thinking and acting rather than just a rhetorical device. In the past few decades, Conceptual Metaphor Theory has been applied to many fields, especially the field of Foreign Language Teaching. For second language learners, understanding metaphors in a different culture is one of the barriers in the process of second language learning. This paper makes a quantitative and qualitative analysis of the metaphors in the high school English textbooks. By enumerating three different metaphors in the textbook, it is not difficult to see that metaphor has caused obstacles to students' foreign language learning. At the same time, statistics on the frequency of metaphors in books can help us intuitively realize the universality of metaphor in language. Therefore, teachers should adjust their teaching strategies in time and have special teaching methods for learning material that contains metaphors.
The Relationship Between Child Abuse Trauma and Cyberbullying Is Analyzed from The Perspective of Social Work
Authors: Chen Keran
Published: June 2024

This study explores the relationship between the trauma experienced by abused children and cyberbullying from a social work perspective. It first defines child abuse and cyberbullying, and subsequently examines the traumatic effects of child abuse and the attributes and effects of cyberbullying. By analyzing the relationship between the two, we will clarify the reasons why abused children are vulnerable to cyberbullying, and investigate the psychological and emotional reactions of abused children after the occurrence of cyberbullying. Finally, drawing on the role and obligations of social work, recommendations are made to address the intertwined challenges of child abuse trauma and cyberbullying, highlighting the importance of intervention and support for these vulnerable groups.
Dynamic Response Analysis of Moving Loads over Tension Cables of Connected Tower Cable-Stayed Bridge
Authors: Liu Xiyuan
Published: June 2024

Due to its strong crossing ability, cable-stayed bridges have become the mainstream bridge type for large and medium spans. The connected tower cable-stayed bridge is different from traditional single span cable-stayed bridges, integrating the characteristics of split frame structure and connected tower design, and has better structural mechanical properties. However, the complex cable layout, multi tower structure, and segmented bridge deck of the cable-stayed bridge with connected towers result in essential differences in its mechanical behavior compared to traditional bridges. Therefore, studying the dynamic response of cable-stayed bridge cables when vehicle loads pass through the bridge is of great practical significance. This article comprehensively considers two factors: vehicle weight and vehicle speed, and introduces the parameter of dynamic amplification factor. The numerical simulation method is used to analyze the dynamic response of the cable when a vehicle load passes through a cable-stayed bridge with a connected tower. In order to provide key data support and important references for the construction and operation monitoring of cable-stayed bridges with connected towers.