bluuebunny/crossref_metadata_2025 huggingface dataset:
The Element Selection and Analysis of Visual Transformation of Wenzhou Dialect
Authors: Jiang Zheng
Published: January 2024

Wenzhou dialect, as a unique dialect, is not only known by the people all over China, but also plays a positive role in promoting the spread of Chinese culture and Wenzhou culture as Wenzhou merchant spread all over the country and even around the world. At the same time, like dialects in many areas of the country, Wenzhou dialect is also facing the possibility of shrinking the range of dissemination and audience, and shrinking or even disappearing of dialect user groups. In recent years, China’s language resources protection project is actively promoting the construction. While vigorously promoting the national standard language, it can also scientifically protect Chinese dialects and minority language resources, and promote the development and utilization of language resources. Dialect protection and dialect inheritance, as the most important resources, naturally belong to the core part, but the research on the visual transformation of dialects has rarely been involved. This paper tries to explore the selection and analysis of design elements in the visual transformation of Wenzhou dialect pronunciation.
New Teaching Approaches to Art and Design Education in the Digital Age
Authors: Huang Fang , Xu Jun
Published: January 2024

In the era of the digital economy, the continuous development of digital technology has had profound effects across various industries. The 20th National Congress report of the Party also emphasizes the need to “promote digitalization in education.” This paper aims to explore new approaches to teaching design in the context of digitization, addressing the needs and challenges of modern society. Starting from the issues encountered in the professional teaching process, it analyzes students’ psychology, the trends in different specialized directions, and industry demands such as visual communication design, product design, environmental design, and digital media art. Leveraging digital empowerment, the paper proposes several innovative teaching approaches, including interdisciplinary teaching, project-driven teaching, integrated teaching, and collaborative teaching. The exploration of these teaching design strategies aims to break down disciplinary barriers, providing a broader space for the art and design discipline. The goal is to cultivate professionals better suited to the demands of social development, contributing to the field of education.
Analysis of the motivation of college students’ participation in governance: Endogenous demands and exogenous promotions
Authors: Liu Mengqi , Liu Guoan , Wang Zumeng
Published: January 2024

The participation of university students in school governance is an inevitable requirement for building a modern higher education community. As participants in this community, students undoubtedly play an important role in governance, whether they are “producers and consumers” in the economic sense, “rights holders and obligation implementers” in the legal sense, or “responsible persons” in organizational behavior. To study the mechanism of student participation in university governance, it is necessary to first explore the motives behind student participation in university governance, delve into its logical starting point, and thus construct a mechanism system. The participation of college students in university governance has both internal and external driving factors. Constructing a motivation mechanism for student participation in university governance, consisting of subjective attitude, participation needs, self-efficacy, participation system, democratic communication, and information feedback, helps to comprehensively understand the internal correlation of the motivation factors for student participation in university governance, and provides useful theoretical support or reference basis for strengthening university governance.
Foreign Language Learning Beyond the Classroom: College Students’ Learner Autonomy in the Digital Times
Authors: Dong Jinhan , Liu Shan
Published: January 2024

In the digital times, learner autonomy or autonomous learning ability is increasingly crucial in a rapidly changing world due to the rapid advances of science and technology. Deemed as the core competence or core literacy of talents in the future world, learner autonomy or autonomous learning ability is the basis of life-long learning and is especially important in the mode of online learning, which was the dominant teaching mode during the pandemic of COVID-19 all over the world, and in the mode of blended teaching, which is the teaching mode commonly employed in universities across China at present. However, according to the research conducted by numerous scholars, autonomous learning ability of Chinese college students is relatively low, with unclear learning objectives, inadequate learning strategies, incompetence to utilize the already abundant learning resources. The present study explored the definition of learner autonomy, its connotations, theoretical bases, factors that affect learner autonomy and the methods to evaluate autonomous learning ability. Based on this, suggestions and pedagogical implications have been proposed, including improving college students’ self-efficacy, strengthening training in learning strategies and optimizing assessment methods.
A study of Customer loyalty Build up Method Based on Customer Centred Design
Authors: Qian Zhe , Yang Cunyuan
Published: January 2024

Building customer loyalty is critical to the success of a business, a body of the abstnd user-centred design has been proven to be an effective method for achieving this. This paper examines the development of user-centred design and its relationship with customer loyalty, and proposes a customer loyalty build-up method based on user-centred design. The method takes into account factors that influence customer loyalty and uses the emotional design model to analyse them. The paper outlines the process of the customer loyalty build-up method, including the stages and nodes. Qualitative research, through interviews with 9 professional experts such as company owners and design directors, was conducted to identify the stages and nodes of the method. A model is proposed to provide a clear framework for implementing the method. A case study is presented to demonstrate the application of the method in the context of the visceral, behavioral, and reflective stages of customer experience. Evaluation and iteration, also informed by qualitative research, are discussed as critical components of the method. The paper concludes that customer loyalty can be effectively built through a user-centred design approach that considers the emotional needs of customers and focuses on providing exceptional experiences.
Research on the motivation, mode and performance of green transformation of textile companies
Authors: Wang Xiaohui , Xiang Yongsheng
Published: January 2024

The characteristics of high pollution and high energy consumption of the traditional textile industry make it urgent for a comprehensive optimization and upgrading after the goal of “carbon peak and carbon neutral” in China. Based on the research background of “double carbon” target, this paper studies the transformation of the textile enterprises, choose has the country’s largest textile industry cluster of Zhejiang Shaoxing KeQiao for research object, through the questionnaire survey, field research, case study method found that: industry transformation effect overall positive momentum, but there are still competitiveness, power, the target. Furthermore, this paper selects typical enterprises and divides different forms of green transformation into substantive green transformation, arbitrage green transformation and stress green transformation. Moreover, it summarizes the main characteristics of transformation mode to create precise “5G”, innovate low energy consumption technology and promote green finance. Finally, the performance results of the three transformation modes are analyzed, which expands the research direction of the transformation mode for the green goal of energy conservation and emission reduction in the textile industry, points out a new road and provides new enlightenment for the exploration of the green transformation mode of enterprises. Green manufacturing is the decisive factor and the only way to realize the social sustainable development strategy, and is the inevitable trend of the development of manufacturing industry.
Quantitative Stock Selection Strategy Analysis Based on Multi-factor Model Under the Epidemic Situation
Authors: Hu Senhan , Kong Yujin , Tong Fan
Published: January 2024

Contemporarily, COVID-19 undoubtedly had a profound impact on the current Chinese economy, as well as presented various challenges and opportunities for different industries in China. As a matter of fact, these changes may profoundly affect the future development trends and competitive landscape of industries. In recent years, the number of stock investors had continued to increase, surpassing 200 million in 2022. In a highly competitive market, the ability to select high-quality stocks often determines the final returns. This study selected the constituent stocks of the “CSI 500” as the “stock pool” for stock selection between 2020 and 2023. By analysing the degree of factor exposure, the correlation between factors, and IC values of factors, suitable and effective factor combinations were selected, and an evaluation model was established using multiple regression analysis to obtain a trading strategy. To ensure its feasibility and rationality, the strategy was simulated using backtesting before actual trading, ultimately aiming to achieve excess alpha returns.
ESG, Stock Returns and Stock Volatility: Evidence from Chinese Listed Companies
Authors: Fu Jian
Published: January 2024

Corporate sustainability is the top concern of the whole society, and whether environmental, social, and governance (ESG), as a way to measure corporate sustainability, has an impact on company stock returns and volatility is widely discussed. This article investigates how ESG performance influences the return of stocks and volatility for all A-share companies during the period of 2019 to 2022. The research employs the composite ESG score and the separate E, S, and G scores to evaluate the ESG performance of corporations, and employs regression models to examine the association between ESG score, individual score, and stock returns. Additionally, the study examines how the volatility of the stocks is related to the ESG score and individual score. In the results, the combined ESG score is significantly and negatively related to stock returns. Returns on stocks are significantly negatively influenced by individual E, S, and G scores. Moreover, stock volatility is significantly negatively correlated with the combined ESG score and individual score.
The effect of the stock price of the green bond issue by companies listed in China: A case study of the manufacturing industry
Authors: Song Xuanying
Published: January 2024

Under the call for the construction of ecological civilization in the new era, the attention of the whole society to green finance has gradually increased. Among them, green bonds, as the largest and most mature green financial products in China’s green finance market, have an increasing impact on social benefits and economic development. Taking the manufacturing industry as an example, this paper studied the stock price effect of 21 listed companies when they first announced green bond issuances through the event study method. The findings showed that publicly issued green bonds by listed manufacturers would make a significant positive impact on corporate share prices during the window period. This result showed that the issuance of green bonds would attract more equity investment, which was conducive to encouraging listed manufacturing companies to carry out green finance reform through the issuance of green bonds and contributed to the sustainable evolution of China’s economy.
The impact of central bank digital currency issuance on the international monetary system - taking China and other countries as examples
Authors: Ren Zhixuan
Published: January 2024

As the current international monetary system is increasingly unstable and unbalanced, even more countries have begun to study and implement digital currency and put forward the concept of super-sovereign currency. The inherent defects of the international monetary system dominated by the US dollar provide space for the generation and development of super-sovereign digital currencies. Based on the superficial reasons for the issuance of decentralized digital currencies by various countries and the current policy situation, this paper proposes the impact of future super-sovereign digital currencies on the international monetary system. Taking the issuance of digital currencies by the People’s Bank of China as the starting point, this paper combines the data of the Federal Reserve and the Bureau of Economic Analysis from general to special. It is concluded that the super-sovereign digital currency may fundamentally reshape the international monetary system and the pattern of international trade. Developing countries, such as China, may hold the upper hand of the upcoming changes in the international monetary system by promoting the internationalization of the digital yuan with its leading position in the field of central bank digital currency and its important position in world trade.
Research on loan default prediction based on logistic regression, randomforest, xgboost and adaboost
Authors: Lin Jinchen
Published: January 2024

Lenders often experience loan defaults, resulting in huge losses to lenders. Lenders are required to conduct a credit assessment of borrowers before making loans. Machine learning plays an essential role in loan credit analysis. This study analyzes the application of machine learning in loan credit analysis through a dataset of borrowers from Kaggle and looks for an excellent algorithm.This study use Logistic Regression, randomforest, XGBoost and AdaBoost to fit the dateset and compare their accuracy in prediction.In terms of results, XGBoost performed well while logistic regression performed poorly. For banks or lending institutions, using Gradient Boosting Decision Tree like XGBoost to predict loan default can increase profit.
Analysis of Cryptocurrency and Its Combination with Quantitative Transactions
Authors: Su Ziyue
Published: January 2024

In recent years, with the rapid development of science and technology today (especially blockchain techniques), a special currency cryptocurrency (also relatively known as digital currencies) was born in 2008 and has received a lot of attention. On account of its special nature and intrinsic, a large amount of investors often combine digital currencies and quantitative trading to make profits and earn extra returns based on the concepts. With this in mind, this study mainly describes the definition of digital currency and its development process and compares digital currency with ordinary currency to highlight its advantages and disadvantages. Subsequently, this research introduces the combined application of digital currency and quantitative transaction in general with some of the backtesting results. According to the analysis, this paper puts forward suggestions on the existing problems of digital currency and promotes its further development in the future. Overall, these results shed light on guiding further exploration of quantitative strategy designs for cryptocurrency.
The Impact of the Regional Military Conflict in Global Stock and Commodity Market
Authors: Zeng Zhinan
Published: January 2024

As the crisis between Russia and Ukraine erupted, a certain degree of geopolitical risk has been triggered, which caused a significant impact on the global economy. The transmission mechanism of geopolitical risks is complex, and factors that may cause market volatility risks include trade factors, investor sentiment, relevant policies and so forth. This article will combine previous research findings and existing market data to explore the impact of the Russia-Ukraine conflict on the stock and commodity markets. Besides, it will also interpret the possible risk transmission mechanisms and consequences behind it based on statistics facts. The study found that this event had a disastrous effect on both the stock and commodity markets, but the specific direction and intensity of the fluctuations vary depending on the research subject. This article summarizes some previous research and provides a summary of the global economic impact of the Russia-Ukraine conflict and gives some suggestions to investors.
Research on preferential tax policies for small and medium-sized enterprises
Authors: Li Changze
Published: January 2024

The survival and development of enterprises depend on the market. Small and medium-sized enterprises (SMEs) can often seize the market opportunities left by large enterprises. Therefore, small enterprises and medium-sized ones have a good ability to grasp the market. At the same time, changes in market demand require enterprises not only to provide reliable products and high-quality services, but also to enable SMEs to make timely adjustments to market changes. Small and medium-scale companies are able to do this because of their small scale and flexible operations. On the other hand, the flexible operation characteristics of small-scale and moderate-sized taxers can make up for the limitation of scale, financial and other resources. Adjust the direction of production in a timely manner as well as avoiding industry risks. From the perspective of tax policies for SMEs, this paper analyzes the implementation status of tax policies for SMEs in Tianjin based on the existing preferential tax policies and official questionnaires.
Financial statement analysis and revenue forecast for Apple Inc.
Authors: Lu Yujia
Published: January 2024

Nowadays, technology companies play an indispensable role in transforming people’s lifestyles and the productivity of the whole society. It is of great significance to focus on the ability of continuous operation and sustainable development of those high-tech companies. This paper takes Apple Inc. as an example and presents a financial statement analysis that combines strategy analysis, accounting standard analysis, common-size analysis, and ratio analysis. The figures shown in this paper are based on Apple’s past annual reports and relevant comparisons are made with Apple’s competitors when necessary. All the analyses in this paper are conducive to revealing the financial condition of Apple Inc. and forecasting its future revenue. After conducting all the analyses, it is easy to find that profitability didn’t witness dramatic progress in recent 3 years due to Covid-19. The paper, therefore, concludes that more efforts are needed to improve Apple’s efficiency and liquidity, which eventually enables Apple to make wise investments and generate more revenue. Furthermore, although Covid-19 is largely to blame for Apple’s plain performance in recent 3 years, more elements from the social environment and its competitors should also be carefully considered in order to make an exact forecast about Apple’s future financial performance.
Research on Stock Market Decision Making based on Price-to-Earnings Ratio–Taking Shenzhen stock as an example
Authors: Zhang Xinyue
Published: January 2024

Taking Shenzhen stock as an example, this paper explores the opportunity for high returns in the stock market through the study of the price-to-earnings ratio, and finally determines the optimal stock market decision. By trying different numerical value on the price-to-earnings ratio and calculating the total return based on historical data, it is obtained that buying when the price-to-earnings ratio is lower than 156 and selling when it is higher than 224.5 can get the highest return. However, in the following general study of high-yield decisions, it is found that all decisions are concentrated in the rapid rise in stock prices caused by “reform cattle” in 2015 in China. Therefore, in order to study more general strategies, the scope and difference of price-to-earnings ratio are redrawn and two feasible decision-making methods are obtained: risk-averse decision-making and risk-preference decision-making. Both two decisions are suitable in a relatively stable stock market, and can earn almost the same profit theoretically, so investors can choose any of them based on their preferences.
Analysis of enterprise financial management under the background of digital transformation
Authors: Xu Xinyi , Zhang Huijia
Published: January 2024

Along with the continuous development of our economy and the continuous improvement of the level of social information, the era of big data has already come quietly, and the digitalization is playing a more and more crucial role in the financial management of enterprises in our country. In the past, people’s understanding of digitalization might only be to do some data analysis and data management work, which led to a series of problems, for instance, organizational management is blunt and not flexible enough. These problems caused the slow development of enterprises, and the productivity of enterprises was difficult to achieve further liberation. Under the background of digital transformation, the traditional financial management of enterprises can no longer satisfy the effective daily operation and management of enterprises. If enterprises are desperate to develop, finance has to be transformed. Therefore, Chinese enterprises ought to progress in the direction of informatization and digitalization. Hence, this paper intends to use literature research and other methods to make up for the shortcomings of traditional enterprise financial management in this study, expand the content of digital transformation of enterprise financial management, and promote the implementation of digital strategy in order to better promote the solution of related problems.
A Study of Work-Related Stress Among Injured Workers in Haining Region: A Case Study of Factory Workers and Construction Laborers
Authors: Gu Shanshan , Shen Shuhan
Published: January 2024

Industry and construction in Haining area are developing rapidly. Due to the particularity of the industry, work-related injuries occur frequently. The physical and mental damage caused by work-related injuries, as well as the risk of unemployment and wage reduction that may accompany them, will increase the pressure on this group. It is necessary to understand the level of work stress of workshop workers and construction workers, identify its source, and then take relevant management measures. This paper takes workshop workers and construction workers who have been injured in Haining area as the research objects, and uses questionnaire survey, interview, SPSS software analysis and other methods to find that the pressure of workers who have been injured in Haining area comes from three aspects: society, workplace and family, and puts forward pressure management measures from three aspects: enterprise, family and society to prevent workers from being too stressed.
Application of new materials and new processes for thread-bound books in the era of digital economy
Authors: Hou Jian
Published: January 2024

With the continuous advancement of the digital age and the popularization of network technology, the development of thread-bound books must keep pace with the times. Designers should shoulder the responsibility of inheritance and development and strive to learn the essence of traditional thread-bound books,for modern book design services. Therefore, in the digital age, more possibilities are proposed for the future development direction of traditional thread-bound books. For book design, the application of new materials and new processes also reflects the trend of aesthetics. Thread-bound books are the carrier of information and the embodiment of civilization. Its emergence and development are a sign that mankind has entered the civilized era. At the same time, along with thread-bound books in history, along with the process of human life and production, the discovery and invention of new materials, and the discovery and invention of new substances, books, as witnesses of human civilization, are constantly changing their appearance to understand the changes in materials, technology and thread-bound books. The historical origin of design, understanding the flesh-and-blood relationship between materials, technology and books, in order to give greater meaning to modern thread-bound book design
Research on performance feedback path under the influence of organizational restructuring
Authors: Liu Lili
Published: January 2024

In diverse and changing environments, organizations often need to reorganize their teams in order to adapt to market changes, improve performance and promote innovation. Team restructuring involves the merging, realignment, or reorganization of different departments or teams, usually accompanied by reassignment of personnel, changes in roles, and new job requirements. The innovation and organizational theory literatures argue that implementing radical innovation can be facilitated or hindered by the organization’s structural design (Abraham YNahm, 2003), a process in which the integration of elements and performance feedback become crucial factors that affect the success of the team and employee satisfaction. team success and employee satisfaction. Specialization, formalization, informal social relations and link mechanisms have positive significant effects on innovation capability (Mohammad Iranmanesh, 2021) The purpose of this paper is to analyze the feedback paths of factor integration and performance outputs of reorganized teams in the hope of providing a multifactorial theoretical support for reorganized teams and finding positive feedbacks of performance outputs.
Research on clean energy utilization and company’s green development strategy under the “dual carbon” goal – Take Sinopec as an example
Authors: Wu Guangzheng
Published: January 2024

At present, China predominantly relies on a traditional energy consumption structure for meeting its energy demands. However, in response to the increasing global awareness of environmental protection, the nation has significantly accelerated its efforts to develop clean energy sources as well as promote green development in various industries. In addition, numerous traditional energy enterprises have gradually initiated efforts to transition towards clean energy solutions. This transition to clean energy is not only pivotal in curbing pollution caused by energy usage but also instrumental in achieving China’s dual carbon targets. To gain insights into the adoption of clean energy and green development by domestic enterprises, this paper takes China Petrochemical Corporation as a case study. With comprehensive research focusing on policy, market, natural resources, and social responsibility, we will not only investigate China’s homegrown policies but also juxtapose them with international counterparts. This comparative analysis aims to offer an in-depth understanding concerning the environmental challenges and potential bottlenecks faced by Chinese enterprises as they embrace clean energy and green development approaches. Furthermore, based on thorough exploration, the paper will deliver practical suggestions and recommendations for their sustainable growth and development.
The Evolution of China’s Policy for Family Planning
Authors: Zhu Zijun
Published: January 2024

It is imperative to understand factors of demographic and social issues, economic development, and global influences which have influenced China’s family planning policy implementation through time from the one-child to three-child policy. To further explore how such factors influenced the evolution of China’s family planning policy and to predict future policy outcomes, this research has extensively discussed demographic challenges, economic development, social issues, and global influences. The research has also analyzed how these factors influence China’s family planning policy direction towards the future. For sustainability, in relation to family planning, this research has identified that the Chinese government could implement targeted and flexible approaches to childbirth control, implement social support and services to help couples meet their family goals, and enhance social awareness via education and family therapy. In sum, this research is important because it provides an elaborate discussion of the evolution of China’s family planning policy and predicts the future direction of such policing to ensure sustainable family planning in China.
Investigating Challenges and Countermeasures in the Reverse Supply Chain of E-commerce Returns: Case Study of Jingdong Self-operated Mall
Authors: Shi Zhan , Wang Qinghan , Wang Yanming
Published: January 2024

With the rapid development of e-commerce, online shopping has gradually become the mainstream method. At the same time, the return rate of commodities is also much higher than the traditional business model, and the reverse logistics problem of e-commerce has attracted much attention. This paper discusses the cost of reverse logistics in depth and extends to the general situation, taking Jingdong Self-operated Mall as an example. Reverse logistics is more expensive, more difficult and involves more complex factors than forward logistics, making it challenging to control costs while ensuring customer satisfaction. Several solutions to the cost problem of reverse logistics are currently available in the market, but they have certain limitations and drawbacks. This paper proposes some optimization strategies, including introducing self-mailing and self-pick-up, strengthening quality inspection mechanisms, setting up specialized commodity certification and secondary sales centers, and commissioning third-party reverse logistics to improve the efficiency of reverse logistics, reducing costs, minimizing losses and regulating order. It is also recommended that the fairness and reasonableness of the platform be maintained by strengthening the audit mechanism, adjusting the return and exchange policy and taking stringent measures against negative returns.
Research on Petroleum Industry Supply Chain in China: Performance and Predictive Analysis of Sinopec Group
Authors: Liu Jing , Wang Ke , Wu Hanbin
Published: January 2024

As a major producer of oil and gas, China has historically adopted a variety of different approaches to managing its overall oil and gas supply chain. It also incorporates decisions and forecasts of trends in the overall petroleum supply chain in the context of existing domestic and international societal trends, such as the impact of national policies and the supply chains of China’s domestic petrochemical companies in the context of Sinopec’s past annual reports and assessments and recommendations for sustainable supply chains. This article uses the case study of Sinopec, a major Chinese chemical company, to provide statistics on the domestic market context and to propose and discuss risk management and sustainable supply chains for the company’s supply chain, as well as quantitative analysis to forecast and analyze China’s domestic oil consumption, with case studies and data on all indicators, and to show the impact of plans and trends on the chemical supply chain over time. The implications and trends of developing trends in the chemical supply chain are presented, and conclusions and final recommendations are drawn.
Promoting higher quality development of network freight platforms: A blockchain-based financial service model for upstream and downstream integration
Authors: Huang Haidong , Wang Wenrui
Published: January 2024

As an innovative platform for a new mechanism in the logistics industry, the emergence of network freight transport is a key point in the development of the logistics industry.The network freight platform has entered the golden period of its development since its legal status was clarified in 2019. Still, in developing the network freight platform, its upstream shippers and downstream actual carriers both need help with long account periods and difficulties in financing. To promote the higher quality development of the network freight platform higher quality development and solve the financing difficulties of small and medium-sized logistics enterprises and related production enterprises, we propose a financial service model of upstream and downstream network freight platforms using accounts receivable pledges based on blockchain technology. In this model, the network freight platform uses the credit advantage of its core enterprises to solve the financing problem for upstream and downstream suppliers under the premise of pledging accounts receivable, thereby accelerating the development of the network freight platform.
Exploring competitive advantages in enterprise supply chains: A case study of JD’s predictive and logistics links
Authors: Li Zexin , Shu Zishan , Wang Xiaoyu
Published: January 2024

In today’s fiercely competitive business landscape, enterprises strive to enhance their competitive advantage. One crucial aspect of achieving this is by optimizing their supply chain practices. This paper presents a comprehensive analysis of Jing Dong (JD), a prominent e-commerce company, as a case study to delve into its supply chain technologies. By examining the specific technologies implemented by JD and elucidating their positive impact on the company’s performance, this study establishes a robust theoretical foundation for further research. It offers a practical model for companies seeking to improve their supply chain practices. By adopting and adapting similar technologies and strategies, enterprises can unlock new opportunities, streamline operations, and ultimately gain a sustainable competitive edge in their respective industries. Through a deeper understanding of JD’s successful supply chain approaches, companies can strategically enhance their capabilities and thrive in the dynamic market environment.
The impact of sustainable supply chain management practices on business performance: A case study of Huawei
Authors: Ma Yuanhao
Published: January 2024

In recent years, sustainable supply chain management (SSCM) has attracted much attention due to growing environmental and social concerns. However, research on the impact of SSCM on business performance is limited. Using a case study of Huawei, this study examines the relationship between SSCM practices and business performance. The study used a case study approach to investigate how the company implemented sustainable practices in its supply chain operations and the impact of these practices on its financial and non-financial performance. The study used qualitative and quantitative research methods to gather data from various sources, including interviews, surveys and company documents. The findings suggest that sustainable supply chain practices can positively impact business performance by reducing costs, increasing customer loyalty and improving reputation. The research gives managers and practitioners valuable insights into developing and implementing sustainable supply chain practices to improve business performance.
Risk Analysis of E-Commerce Supply Chain in Enterprises: A Case Study of JD.com’s No. 1 Boutique Supermarket
Authors: Wu Yutong
Published: January 2024

This study examines the development process and current status of Yihaodian, a gourmet supermarket under JD.com, to identify potential problems and risks in its operation. The risks are categorized as market, credit, workforce, and capacity risks. To address these risks, specific solutions are proposed, including effective market positioning, innovative business strategies, enhancement of the credit evaluation system and indicators, utilization of internet technology, and improved inventory management. Moreover, the study emphasizes the importance of strengthening internal personnel management in Yihaodian. By providing insights into the risks and solutions faced by Yihaodian, this research offers valuable guidance to other enterprises in enhancing their operation and management processes in the dynamic e-commerce supply chain. The findings are significant for businesses seeking to navigate challenges in the competitive market and achieve sustainable growth. This study contributes to understanding risk management in the context of e-commerce supply chains, benefiting both academia and practitioners in the field.
A Knowledge Graph Data Expansion Method Based on Relational Propensity Categories with Legal Applications
Authors: Liu Xiaoqin , Xu Chenou , Pu Fei , Yang Berlin , Meng Shi
Published: January 2024

By introducing the definition of propensity categories of relations, the implicit information in the knowledge graph is mined and the MCBE (Maximum Clique Based Expansion) algorithm is used for data expansion. Experimental results show that with baseline models TransE, RotatE, HAKE and Complex on FB15K dataset, its MRR and Hits@1 metrics are improved by (7.9%, 9.6%), (4.2%, 3.3%), (2.7%, 4.8%) and (1.7%, 2.4%), respectively. Experiments are also conducted on the FB15K, YAGO3-10, NELL-995 and DBpedia50 datasets using the TransE model as a baseline, and its MRR and Hits@1 metrics are improved on the above datasets by (7.9%, 9.6%), (0.3%, 27.7%), (20.1%, 100%), (4%, 38.7%), respectively. Finally, the MCBE algorithm is applied to the self-constructed knowledge graph of “anti-drug law” and its MRR and Hits@1 metrics are improved by (10.6%, 12.3%). The experimental results show that MCBE algorithm improves the prediction accuracy of legal knowledge graph.
Research on the application of cellular automata and improved BP neural network in road design of logistics park
Authors: Ge Yanyan
Published: January 2024

With large-scale construction of the Logistics Parks, it has become an urgent problem to quantitatively analyze, evaluate and optimize the logistics park designing, which needs to be solved scientifically. At present, more of the domestic logistics park planning of a part of the qualitative analysis, the lack of quantitative and overall study, resulting in internal structure disjointed. Based on cellular automata theory, this paper presents a hybrid traffic flow model which is more suitable for the traffic characteristics of the logistics park, and analyzes the complexity of the collection and evacuation system in the logistics park, combined with BP neural network and its improved algorithm, the method of road design in Logistics Park is studied and the feasibility and validity of the model and algorithm are verified by an example. The train of thought is expected to provide for the planning and construction of the internal road in the logistics park.
Analyzing the Advantages and Disadvantages of Film Aesthetics and Background Analysis
Authors: Li Yixuan
Published: January 2024

Based on the deep-rooted class gap in South Korea, “Parasite” is one of the most influential films in the history of Korean cinema. This study will analyze and appreciate the audio-visual language, shooting techniques, skills, and other aspects of the film. Based on its sustained market promotion, it will analyze this cultural product’s comprehensive impact on Korean audiences’ awareness and the image of Eastern culture. Despite the bold plot creation and advanced aesthetics of ‘Parasite’, the distance between its character setting and reality still needs to be improved. The author believes that the character set is in line with the personality of real-life characters and is more conducive to bridging the gap between the film and the audience. The film criticizes the inequality of social class disparities, showcases cruel reality, and warns people that the author believes movies can shape more realistic Eastern character images and improve the overly simplistic setting of the poor.
Analysis of the Problems and Countermeasures of the Animation Production and Promotion of Three Body
Authors: Peng Yuqi
Published: January 2024

The animation of Three Body has attracted much anticipation from the audience since its launch and exceeded the 100 million broadcast mark in 10 hours on the first day of broadcast, setting a record for the fastest broadcast of an animation episode to break 100 million. However, as the episodes continue to air, the word-of-mouth for the work has become polarised and has dropped sharply, with the Douban score dropping to 3.9 as of March 13. This article analyses the Three Body animation on the levels of airplay, reviews, animation production, script logic and originality. It analyses the overly fast and thrill-seeking narrative pace of the animation. Moreover, it analyses its flat and schematic characterisation that needs more depth, and the extensive rewriting of the original text to impose conflict and the major strategic miscalculations in its audience positioning (such as losing fans of the original text due to the drastic rewriting of the original text). Furthermore, this essay gives recommendations for well-known IP adaptations, anime adaptations in the Chinese market, and the future of the animation market. This essay also advises on the need to accurately target audience groups, reduce over-adaptation of the original, avoid deconstruction of the original’s undertone, and enrich the characters.
Analysis on Apple TV+: Future Development Direction of Streaming Media Platform
Authors: Shen Yuyang
Published: January 2024

Streaming media had been a popular form of entertainment since 2019 due to COVID-19. Netflix, Home Box Office, and other streaming media offer an abundance of media resources to all kinds of audiences. Notwithstanding that streaming media had been flourishing, they still had trouble constructing sustainable profitability. Apple TV+, being one of the streaming media corporations, found out a way to achieve sustainable profitability. The platform also benefited from the flourishing of the streaming media industry. In order to promote the sustainable development of the streaming media industry, the article is mainly about Apple TV+ achieving sustainable profitability by adapting short and quality streaming media products and making proper use of the parent Company Apple Inc’s financial support. SWOT analysis will be used to make a further explanation. The advice is offered in the article to expose the revelation of future development for both Apple TV+ and the industry, which is to combine franchises with short series and make use of co-branding to enlarge its media resources. Additionally, the research also reveals the weakness of Apple TV+ that Apple TV+ has difficulty in retaining loyal customers due to the lack of rich and attractive streaming media resources.
Study on sustainable development of electricity resources in the United States
Authors: Chen Bingyu
Published: January 2024

Relying on renewable electricity generation is critical to combating climate change and meeting long-term environmental objectives. In addition to discussing the Triple Bottom Line approach’s practical applications, this essay delves into the approach’s theoretical underpinnings. Companies like Tesla and the financial industry play crucial roles in encouraging the responsible growth of the nation’s electrical power grid. This essay argues that sustainable behaviours and investments in renewable energy can benefit from fiscal and economic policies that give incentives in these areas. In addition to contributing to Tesla’s market leadership and financial success, sustainable business practices can also help set an example for other companies. Incentives for renewable energy, increased energy efficiency, and a receptive regulatory environment are all recommended in this essay. The competitiveness of electric power companies may be increased, and their contributions to sustainable development may be increased via the incorporation of sustainability principles, circular economy practices, and stakeholder engagement.
The Relationship Between Aging, Economic Development and Healthcare Expenditure in Japan: An Empirical Analysis
Authors: Ma Yicheng
Published: January 2024

This paper investigates the relationship between ageing, economic development, and healthcare expenditure in Japan, considering the challenges posed by an ageing population. The study utilizes a VAR and ARMAX modelling approach to analyse the complex dynamics among these variables. The empirical results reveal interesting findings that contrast with previous literature. While population ageing is often assumed to lead to increased healthcare spending, this study finds no significant correlation between population ageing and healthcare expenditure as a percentage of GDP. The analysis suggests that factors such as advancements in medical technology, healthcare system efficiency, and cultural variations in healthcare utilization patterns may have mitigated the expected rise in healthcare expenditure associated with an ageing population. These findings have implications for policymakers and investors. Policymakers should consider a broader range of factors beyond population ageing when projecting future healthcare expenditures and developing strategies for managing healthcare costs. Investors can benefit from a nuanced understanding of the healthcare sector, focusing on areas such as medical technology, innovation, and healthcare delivery models that are likely to be influenced by population ageing and changing healthcare needs. Overall, this research contributes to the existing knowledge base, offering insights for addressing the challenges of population ageing and healthcare sustainability.
Risk prediction of interest rate futures based on machine learning scenarios
Authors: Chen Rui , Gu Xinrui , Li Peiling , Tan Kexin
Published: January 2024

The interest rate futures market is a significant part of the financial market. It has a crucial impact on forecast the interest rate risk in global financial markets, which due to the complexity of financial markets and the volatility of interest rate futures. Based on machine learning scenarios to analyse and compare different algorithms, this paper analyses and forecast 2-year Treasury futures for the period 2022.6-2023.6 through regressions and other methods. Meanwhile, it is applied to construct charts and graphs to better compare and analyse models that are more suitable for forecasting future risk in interest rate futures. National policies, the volatility of the general market environment and its smoothness are utilized as the main factors to forecast its risk fluctuations. The main algorithms this paper use are: random forest regression, ARIMA model, BP Neural Network regression model, ARCH model (model validity test), GARCH model. In conclusion, though the predicted results of the random forest and ARIMA models exhibit a close to 0 and have strong stability, the predicted results of the GARCH are relatively better, none of them achieve the desired prediction performance.