bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Whether International Trade Has Increased the Inequality in China's Domestic Income Distribution
Authors: Long Xueqin
Published: June 2024

Inequality in income distribution is a major problem faced in China's and even global development, and has traditionally attracted much academic attention. How to reduce the income distribution gap and achieve common prosperity has also been an important concern of the government for a long time. Meanwhile, foreign trade plays a pivotal role in China's economic development, and along with the changes in the external trade environment and internal economic policies, the country is witnessing a new situation of full openness in all regions. Based on the above background, this paper investigates whether there is an impact of foreign trade on China's income distribution. The empirical results show that foreign trade has increased the income distribution inequality in China, and the impact of export trade on intra-regional income inequality is greater than that of import trade on intra-regional income inequality; the impact of export trade on income inequality in coastal cities is greater than that in inland cities, when viewed by coastal and inland. Finally, based on the empirical results, this paper puts forward three suggestions on narrowing the inequality of domestic income distribution: reasonable guidance of foreign investment, optimization of industrial structure, and increasing the cultivation of talents.
Impact of Securities Investment on Corporate Performance
Authors: Tao Yi
Published: June 2024

In recent years, with the development of economic technology, securities investment by listed companies has become increasingly common. Using the Chinese listed firms from 2009 to 2020, this study investigates the effect of securities investment on corporate performance. This study finds that securities investment by listed companies has a positive impact on corporate performance. This paper contributes to the literature on the consequences of enriching research on the consequences of financialization in enterprises and studies on the evaluation of corporate performance. In addition, this study provides implications for listed firms, the weighting of securitized investments, and the evaluation of corporate performance.
Research on the Impact of Privacy Information Sensitivity on Consumers' Purchase Intention in E-commerce Livestreaming
Authors: Jin Kaijun
Published: June 2024

Against the backdrop of rapid development in digital and network technologies, privacy issues in e-commerce live streaming have gradually drawn consumers' attention. How to effectively use consumers' personal information to promote the high-quality development of e-commerce live streaming is a key issue of concern in academia. Based on sample data, this study summarizes the current status of consumers' privacy sensitivity when watching e-commerce live streaming, explores the impact of privacy sensitivity on consumers' purchase intention, and finds that privacy concerns negatively affect consumers' purchase intention, while privacy protection and privacy fatigue positively affect consumers' purchase intention. Perceived trust and perceived risk play a mediating role in the relationship between consumers' privacy sensitivity and purchase intention. Based on these findings, it is recommended that e-commerce live streaming platforms actively formulate and improve privacy protection policies to further protect consumers' privacy information, while establishing joint credit evaluation standards to enhance consumer trust. Merchants should comply with privacy policies and strengthen brand building. Government departments should enhance the diversity and effectiveness of privacy protection education and use innovative technologies to create a good social environment for consumers' purchasing behavior on e-commerce live streaming platforms.
Research on Directors’ and Officers’ Liability Insurance and Enterprise Green Innovation
Authors: Che Linke
Published: June 2024

In the light of the fact that the current green wave is in vogue and the world is entering a “green” competition era, the green transformation of enterprises is to be found in urgent need. Taking China, A-share listed companies from 2011 to 2020 as the research sample, this paper empirically finds that Directors’ and Officers’ Liability Insurance (D&O Insurance) has a promoting effect on enterprise green innovation, and the longer the introduction time, the more obvious the effect is, which is still valid after alleviating endogenous problems and carrying out a robustness test. Through further research, this paper additionally discovers that D&O Insurance has a significant and relatively stable promoting effect on the invention-type green innovation and utility model green innovation; the promotion effect is more obvious in large-scale enterprises; it is the risk tolerance level that contributes to strengthening the effect. The research results play a role as a catalyst for the circulation of D&O Insurance, provide relevant suggestions for enterprises, regulators and the government to promote green innovation, and help China achieve a crucial position in the "green" competition era.
The Impact of Agricultural Mechanization on Urban-rural Income Gap and its Mechanism
Authors: Shao Jingwen
Published: June 2024

The income and living standard of Chinese people are surging. Despite the continuous improvement of material quality of life, the income gap between urban and rural areas is expanding, which gradually becomes one of the prominent contradictions restricting China's economic development. The existing literature generally indicates that the development of agricultural modernization has a positive impact on farmers' income. Due to the broad definition of agricultural modernization and the large regional differences in China, the mechanism of agricultural mechanization to increase farmers' income varies from region to region. This paper uses the relevant data from the National Bureau of Statistics to establish an econometric model to specifically study the impact of agricultural mechanization on the urban-rural income gap and its impact mechanism. At the same time this paper make a regional division between agricultural provinces and non-agricultural provinces studying their heterogeneity, and finally analyze how human capital affects the income gap as a threshold variable. The empirical results show that the development of agricultural mechanization is conducive to narrowing the urban-rural income gap by increasing farmers' income and there is regional heterogeneity. Compared with the central and western regions and non-agricultural provinces, the use of agricultural machinery has a more significant negative effect on the urban-rural income gap in eastern and agricultural provinces. The effect of agricultural mechanization on the urban-rural income gap is nonlinear, and human capital has a threshold effect on it.
The Impact of Intelligent Manufacturing on Company Investment Efficiency
Authors: Yang Ling
Published: June 2024

Manufacturing technological advancements have had a significant impact on corporate operations and development in today's highly digital economy. This paper develops a double difference model using sample data from all A-share listed companies in China from 2010 to 2019, as well as a quasi-natural experiment on the promotion of intelligent manufacturing demonstration projects in China, to investigate the impact that implementing intelligent manufacturing policies can have on the efficiency of corporate investment. According to the report, implementing intelligent manufacturing can boost firm investment efficiency. Through effective corporate internal control, the mechanism analysis discovered that intelligent manufacturing can play a negative buffering role in enhancing corporate investment efficiency.
Will Government-driven Urbanization Exacerbate Urbanization Imbalances?
Authors: Bian Yongxing
Published: June 2024

As a major form of administrative division adjustment in China since the reform and opening up, abolishing county and establishing district policy has reshaped the regional administrative power structure, which in turn has had a profound impact on regional economic and social development. Based on data from population census and land survey, this paper uses the general OLS method to estimate the effect of abolishing county and establishing city-administered district reform on the imbalance of urbanization development in prefecture-level cities. The study finds that the reform of abolishing counties and setting up districts softens the constraint of construction land targets and creates favorable conditions for local governments to "seek development through land use", but the larger supply of construction land eventually exacerbates the imbalance between population urbanization and land urbanization, and this finding still holds for cities where the initial relationship between people and land is not tense. By region, the effect of urbanization imbalance exacerbated by abolishing county and establishing district policy is significant in the eastern region but not in the central and western regions; moreover, the effect of urbanization imbalance exacerbated by county revocation is weakened in cities with higher degree of financial deepening. The rapid urbanization with land as the core has supported China's rapid economic growth for a long time in the past, but the role of land as an economic engine is declining. Promoting a new type of people-oriented urbanization and making efforts to improve the quality of urbanization construction is the right way to transform China's economic development mode and promote high-quality development in the future.
Research on Influencing Factors of Systemic Financial Risk of Commercial Banks Against Major Emergencies
Authors: Che Haoyuan
Published: June 2024

Based on the panel data of Chinese listed commercial banks from the first quarter of 2016 to the fourth quarter of 2022, this paper researches the key factors influencing the systemic financial risk of commercial banks before and after the outbreak of the COVID-19 epidemic via principal component analysis, and finally constructs comprehensive indicators of systemic financial risk of commercial banks before and after the epidemic respectively. It is found that the main factors influencing the systemic financial risk of commercial banks will be transformed when major emergencies occur. Besides, the ability of commercial banks in offsetting default risk is more important and the impact of profitability will also be enhanced. Finally, this paper puts forward relevant suggestions on how to better prevent commercial banks’ systemic financial risks.
Research and Analysis of the Impact of Company Digitalization on Auditing
Authors: Lou Jingqi
Published: June 2024

In the era of big data, digitalization has become an important requirement for companies to improve their competitiveness and promote high-quality development. Through a review of professional literature in the field of digitalization within five years, this paper analyzes the impact of digitalization of companies on corporate auditing, and finds that digitalization of companies leads to lower or higher audit fees, generally leads to lower or higher audit risks of companies, and improves corporate audit quality, while increasing the amount of audit evidence. These effects are generally more pronounced in non-state companies and non-Big 4 firms, reflecting the profound impact of digitalization on private companies. The study further explores the impact of digitalization on auditing, and explores the changes brought by digitalization to auditing from a holistic perspective, providing a further theoretical basis for digitalization and improving the auditing system of companies.
The Impact of Financial Competition on Carbon Emissions
Authors: Ai Zhiqing , Wei Ye
Published: June 2024

Based on the panel data of 30 provinces (municipalities, autonomous regions) in China from 2003 to 2019, this paper constructs a two-way fixed effect model to analyze the influence of financial competition on carbon emissions. It is found that fiscal expenditure competition and tax competition will push up local carbon emission intensity. The analysis of regional heterogeneity shows that the financial competition in the eastern region has no significant impact on carbon emission intensity, while the financial competition in the central and western regions has a more obvious impact on carbon emission intensity. The analysis of time heterogeneity shows that after China’s economy entered a new normal in 2012, the impact of financial competition on carbon emission intensity was significantly enhanced. Meanwhile, considering the influence of financial autonomy on carbon emissions, this paper constructs related intersection terms, which further reflect the role of financial autonomy.
Analysis on the Marketing Advantages of Customized Jewelry under the Background of Internet +
Authors: Yang Hanbing
Published: June 2024

The market competition of commodities is becoming more and more fierce, and the growth of network provides consumers with more choices, which brings great convenience to people's life and work. In the big environment, the marketing of enterprises is inseparable from the Internet. The rapid popularization of the Internet has greatly changed people's consumption concepts and habits. The result of this rapid development is that e-commerce enterprises have no output matching the scale, and their ability to fight against changes in economic forms is weak, as well as in the jewelry field. As a brand-new modern marketing method, online marketing is a supplement to the traditional jewelry marketing model. It is undoubtedly the best way to deal with the impact by combining online marketing with jewelry industry. This paper analyzes the necessity of changing the marketing strategy of customized jewelry under the background of "Internet +", expounds the advantages and challenges of customized jewelry marketing activities under the background of "Internet +", and finally puts forward the main measures for jewelry enterprises to carry out marketing activities under the background of "Internet +".
Research on the Internationalization Path of RMB based on the Analysis of Peripheral Circulation
Authors: Zhang Yunlin
Published: June 2024

The internationalization of RMB is of great significance to China's financial development and the reform of the international monetary system, and it is the inevitable result of the evolution of the world economic structure. The internationalization of RMB is the inevitable result of China's economic development and the reflection of China's international competitiveness. The internationalization of RMB will help China to become a world economic power. The circulation around RMB is only the initial stage of currency internationalization. Currency internationalization requires strict conditions and must bear the price of giving up the independence of domestic monetary policy. The "the belt and road initiative (B&R)" initiative promotes China enterprises to enter the global market and increases the opportunities for RMB capital export. Some progress has been made in the internationalization of RMB, which has been recognized by the international community. Based on the significance of currency internationalization, this paper expounds the influence of RMB internationalization on China, and further studies the mode and strategy choice of RMB internationalization on the basis of analyzing the circulation path around RMB.
An Analysis of the Marketing Mode of Modern Chinese Commercial Movies
Authors: Yu Shuran
Published: June 2024

China's movie market has continued to grow over the past few years and is now the world's second-largest box office market. Commercial movies are undoubtedly the fastest-growing category of films. This paper will systematically discuss the specific subcategory of Chinese commercial films from various aspects and explore the marketing model of Chinese commercial movies as a complex and diversified systematic project. First, this study analyzes the characteristics of the Chinese film market, the marketing mode of modern Chinese commercial films, and the types and needs of Chinese film audiences; secondly, it aims to discuss the drawbacks and challenges Chinese commercial films face under the characteristics of such an environment and marketing methods. By analyzing the market trends, industry models, and marketing strategies, the paper will delve into the development of Chinese commercial cinema as an industry and provide some suggestions on how to succeed in the highly competitive film industry.
Analysis of the Influencing Factors and Predictions of Poston house Prices based on a Multiple Linear Regression Model
Authors: Jiang Liangyu
Published: June 2024

In this study, the classic Boston house price data set is selected for the analysis of house price correlation. According to the variables in the Boston housing price data set, the linear regression model of Boston housing prices is established by using Python software. The regression equation and regression coefficient were tested for significance, excluding the variable of p >=0.5, multiple linear regression was carried out, and the regression equation with good fitting was obtained. It is found that there are too many variables after multiple linear regression, which is difficult to analyze and predict, so the correlation analysis of variables is carried out. This paper gets the percentage of lower status population, pupil-teacher ratio and average number of rooms per dwelling with medv (The median quoted price for an owner-occupied home, $1,000 per unit) has a significant relationship. Finally, a linear regression equation is established for the independent variable whose correlation coefficient is greater than 0.5, and the housing price is predicted.
Current Research Status on The Production, Storage, And Application of Hydrogen Energy
Authors: Wang Yilin
Published: June 2024

With the development of society, the demand for energy has significantly increased, and the hydrogen energy industry is an important engine for optimizing energy structure and promoting the transformation of traditional energy. Hydrogen energy is a clean and renewable energy source with abundant sources. The unit mass of hydrogen contains a large amount of energy and can be applied in a wide range of fields. Therefore, analyzing and comparing the hydrogen energy industry chain will contribute to the healthy development of the hydrogen energy industry. This article first investigates the initial stage of development, current situation, and policies of hydrogen energy in China, Japan, and the United States, in order to gain a deeper understanding of the research status and planning of hydrogen energy in different countries. Secondly, the current mature hydrogen production methods (reforming hydrogen, electrolysis hydrogen) and hydrogen storage methods (high-pressure hydrogen storage, solid-state material hydrogen storage, organic liquid hydrogen storage materials) Hydrogen application are analyzed, and their advantages are proposed. Finally, based on research analysis, the future hydrogen energy market is introduced. This research result also provides certain reference value for enterprises that need to transform and enter the hydrogen energy field.
Competitive Strategy of Chinese Maintenance Repair and Operations Industry- a Case Study of JD Industrials
Authors: Chen Xun , Gong Yanyue , Lin Xinfeng
Published: June 2024

As the market size of China's maintenance, repair, and operations industry continues to expand, more and more platform companies are entering this sector. In this increasingly competitive environment, having a set of market competition strategies, implementation measures, and safeguard measures tailored to the enterprise is crucial for long-term survival. This paper conducts a case study on JD Industrial, a leading B2B company in this field. This paper first analyzes the market environment of JD Industrial by using the PEST framework and puts forward the market competition strategy suitable for JD Industrial by using SWOT analysis. It also puts forward the corresponding implementation and safeguard measures for the implementation of these strategies. The potential contribution of this paper is that provide some valuable insights into JDI's market competition strategies. These insights aim to assist JDI in enhancing its market share and achieving sustainable growth in the process of competition from domestic and international rivals.
Willingness to Purchase Co-Branded Products: Gender and Age Differences
Authors: Huang Jiangwei
Published: June 2024

This study explores the impact of co-branding on consumers’ purchase intention (PI), focusing on the 2023 trend of joint branding in the milk tea industry. The research adopts a questionnaire to analyze factors influencing PI, with a specific emphasis on gender and age differences. Previous research investigated at how joint branding affected consumption, examining factors such as the connection between perceived risk, perceived value, and popularity. The study reveals a noteworthy positive correlation between the perceived value and the participation of opinion leaders, which can positively influence consumers and lower their perceived risk. The study also looks at age and gender variations in co-brand product willingness to buy. Women participate in joint branding activities at a higher rate than men, which suggests that they are more willing. Age-wise, teens have a greater preference for milk tea, but older people participate in joint branding activities at a higher rate. The results imply that consumer willingness to purchase co-branded goods is strongly influenced by the cultural and logo images of those products. This study suggests that co-branded products' cultural and logo images significantly impact consumers’ PI. The author suggests increasing the number of participants and combining offline and online data collection techniques in order to improve the calibre of the research. As a result, the study clarifies the intricate dynamics influencing consumer decisions in the changing co-branded product market.
Impact of husband and wife shareholdings on audit fees
Authors: Zhou Xingyu , Chen Zhiyi
Published: June 2024

This paper examines the impact of family firms' husband and wife shareholding on audit fees using family firms listed in A-share companies from 2002-2021 as a sample. The findings show that family firms' husband-wife shareholding significantly reduces audit fees. Further analysis shows that the effect of family firms' husband-wife shareholding on audit fees is more significant in companies with longer listing years and family firms with smaller losses. The mechanism test reveals that husband-wife shareholding in family firms leads to the misappropriation of funds by major shareholders and protects the truthfulness of the company's financial statements and business activities, which in turn reduces the audit fee. This study provides new ideas and empirical support for the role of husband-wife shareholding in corporate governance of family firms.
Quantitative Analysis and Prediction Methods for Sports Competition Results
Authors: Liu Junyi , Zhu Xiaozhe , Wang Shiying
Published: June 2024

In the era of big data, sports performance prediction becomes critical by analyzing accumulated competition data, especially the influence of momentum factors on competition results, although its definition and quantification are controversial in academia. This study explores the application of momentum in predicting the results of sports competitions and proposes a comprehensive research framework combining sports science and sports psychology. By collecting and analyzing the competition data, the feasibility of momentum as an important index in predicting the results of the competition is confirmed. The results show that momentum not only reflects the immediate performance of athletes in the game but also predicts their future results. This finding is of great significance for coaches and athletes to formulate strategies and adjust tactics in the game. Through continuous accumulation and analysis of data, we can more accurately predict the results of the game, and improve the level and fairness of sports competition.
An Analysis of the Role and Importance of Popular Music in College Music Education
Authors: Jian Peiran
Published: June 2024

This paper discusses the role and importance of popular music in college music education. With the change of the times, pop music has become a widely popular form of music among students, and its position in music education has become increasingly prominent. This paper first analyzes the basic situation of popular music education in Chinese universities, the characteristics of music education for college students, and the importance of music education in college education. The results show that this study can better meet and cater to the needs of college students, and can play a role in pleasuring the body and mind and relieving the learning pressure, and provide a certain reference for promoting the diversification and development of college students' music education.
Research on the Strategy of Applying Mixed Teaching Mode to Primary School Mathematics Teaching
Authors: Peng Yixin
Published: June 2024

With the rapid development of science and technology in today's society, great changes have taken place in all aspects of human life. The education industry has also been continuously innovated under the impetus of information technology. The rise of network information technology has significantly improved the transmission amount and efficiency of knowledge, breaking the time-space boundary of education and teaching. It provides abundant educational resources and more convenient educational methods for education and teaching, which has a certain impact on the traditional educational methods. Driven by science and technology, the application of blended teaching mode is born, which is a new teaching method produced with the development of network information technology. The combination of online teaching and offline teaching is a revolution to the traditional teaching method. Under this background, primary school mathematics teaching must change the traditional teaching methods, take moral education as the fundamental task, and give full play to the important role of primary school mathematics curriculum in cultivating students' innovative ability and creative spirit. Combined with the attributes of mathematics subject and the practice of primary school mathematics teaching, the mixed teaching mode provides a new idea for primary school mathematics teaching, which is of great significance to the implementation and development of primary school mathematics teaching.
Research on Heliostat Field Optimization Based on Monte Carlo Theorem and Randomized Algorithms
Authors: Gao Yanqi , Yang Ziqi , Yang Zixiong
Published: June 2024

The text discusses a mathematical model established for calculating the optical efficiency of heliostat fields in solar power systems. It's grounded in geometric optics algorithms and considers factors affecting the field's optical efficiency. Each heliostat and the ground have independent coordinate systems for assessing whether light is blocked. The Monte Carlo method is utilized to determine the proportion of blocked light in reflected rays. This approach accommodates the conical nature of solar radiation, enhancing accuracy by transitioning from parallel to conical light representation. The results indicate an annual average optical efficiency of 0.5084 for the heliostat field, an annual average thermal power output of 30.879 MW, and 0.4915 kW/m2 as the annual average thermal power output per unit mirror area.
Rethinking accounting objectives— based on Conceptual Framework for Financial Reporting 2018
Authors: Wang Yifan
Published: June 2024

This paper begins by emphasizing the pivotal significance of studying accounting objectives, considering them as the logical starting point for the structure of accounting theory. It provides a broad overview of decades of research on the positioning of accounting objectives and conducts a detailed analysis of the accounting objectives expounded in the recent 2018 release of the "Conceptual Framework for Financial Reporting" by the International Accounting Standards Board. Through analysis, it uncovers contradictions between the characteristics of financial reporting outlined in this conceptual framework and the established accounting objectives. Moreover, it contends that the identified objectives are, in reality, elusive, presenting significant challenges to achieving the goals set by the IASB. Furthermore, it delves into how these accounting objectives prioritize the interests of investors and creditors, compelling accountants to provide valuation services for securities investors and distorting the essence of accounting. This prioritization, along with the resulting ranking, is argued to be incongruent with the realities of the Chinese context, adding complexity to the issues associated with accounting objectives.
Strategic analysis on improving the proximity and accessibility in China: an exploratory development based on the study of the 15-minute city
Authors: Gong Junxiang
Published: June 2024

Against the backdrop of rapid urbanization in China's megacities, the growing need for accessible and convenient transportation has become more pronounced. The rise of the 15-minute city concept in chrono-urbanism has become increasingly evident in recent years. In this context, the paper presents a comprehensive strategic analysis and explores future possibilities for enhancing proximity and accessibility in urban transportation. The focus is on the exploratory development of the 15-minute city concept. By adopting a qualitative analytical approach, the paper delves into an analysis based on Melbourne’s '20-minute city' to assess the applicability and diverse development of the 15-minute city model in Chinese urban centers. By acquiring current data and examples, the findings reveal the strengths and challenges of the 15-minute city concept, underscoring its adaptability and uniqueness across different geographical, national, and targeted contexts. The paper indicates that among megacities in China, the 15-minute city highlights the potential for integrating advanced technology to enhance urban mobility and proximity. It also calls for a shift towards high-quality development in urban planning to strengthen the resilience of city transport. The study’s exploratory nature also opens up avenues for future development within the 15-minute city framework, providing a robust base for improving urban transportation in China. The significance of this research lies in its contribution to shaping high-quality and livable urban environments, thereby supporting the ongoing transformation of China’s large urban centers into more accessible and human-centered spaces.
Study on Orientation Metaphors of Up in Shakespeare’s Plays from a Cognitive Perspective
Authors: Chen Panyu
Published: June 2024

The large number of ups in Shakespeare's plays has not only conventional usage but also metaphorical usage, especially orientation metaphors. From the aspect of syntactic structure, V+up phrasal verbs combined with verbs are usually metaphorical usages. The types of these verbs include noun-transformed verbs, transitive verbs, and special usages. Based on the metaphorical usage of up, this paper explores the underlying cognitive mechanism behind it, and finds that verbs affect the mapping direction of up, which makes it highlight different metaphorical meanings, and energy transfer between verb phrases. Studying the cognitive mechanism of V+up orientation metaphor helps to further understand the emotions and thoughts of the characters in Shakespeare's plays.
Comprehensive Assessment of Environmental Factors Influencing Crop Yields: Ozone, CO2, And Aerosols
Authors: You Siyuan
Published: June 2024

The research explored how air pollution, particularly high ozone levels, negatively impacts sensitive crops like wheat, rice, and soybeans, posing significant threats to global food security. It emphasized the long-overlooked destructive effects of ozone and emphasized the immediate need for strategies to counter these impacts amid climate change. Furthermore, the study examined the crucial role of increased carbon dioxide (CO2) levels on C4 crops, essential for global food security and biofuel production. Contrary to expectations, it challenged the belief that C4 crops inherently benefit from elevated CO2 levels in terms of enhanced photosynthesis. The study urged more experiments under changing climate conditions to refine predictions regarding crop yields. It emphasized the importance of focusing on ozone reduction, understanding how C4 crops respond to increased CO2, and assessing aerosol effects on specific crops. These insights aim to inform policies and strategies that can safeguard food security amidst rapid global economic growth and the challenges posed by climate changet.
Machine Learning-Based Player Performance Analysis for Association of Tennis Professionals Tour
Authors: Qing Youchen
Published: June 2024

This study explores the use of data analysis in professional tennis, using the dataset of the world-renowned Association of Tennis Professionals (ATP) Tour, which is the top-class men's professional tennis tour. Utilizing the match data of all the players, mainly Novak Djokovic, the research applies various models and methods of data preprocessing and selection to predict match outcomes. The main objective is to provide data-supported insight to professional tennis players and coaches to help analyze and further improve their tennis. The analysis and model take factors like player performance, court types, and tournament importance into consideration. This study shows the potential of data analysis in sports where such resources are often limited to well-funded teams. Not only the effect of different models in forecasting tennis match outcomes is evaluated, but also the influence of non-critical tournaments and external factors like injuries and policies on the accuracy of predictions are explored. The research findings offer insights into the evolving role of data analysis in enhancing sports strategies and performance, indicating a promising future for data-driven decision-making in professional tennis for different levels of players.
Applications of Two-Dimensional Organic Materials in the Field of Optoelectronics
Authors: Ma Xuheng
Published: June 2024

This article looks into the quickly advancing landscape of two-dimensional organic products and their transformative function in optoelectronics, driven by developments in nanotechnology and chemistry. At the leading edge of this exploration are three essential materials: Graphene and its analogs, conjugated polymer nanosheets, and fullerene derivatives. Each of these materials presents unique characteristics and difficulties, offering a complex view of the potential and difficulties in this innovative domain name. Graphene and its analogs, renowned for their outstanding electric conductivity and mechanical stamina, stand as pillars in the advancement of sophisticated optoelectronic devices. Conjugated polymer nanosheets, with their flexible properties and tunable electronic characteristics, open new avenues for wearable technology and flexible displays. Fullerene derivatives, understood for their electronic flexibility, are key to creating high-efficiency solar batteries and sensing units. This extensive evaluation browses with the elaborate procedure of synthesizing these materials, emphasizing the synthesis obstacles while highlighting the techniques that have actually shown promise in conquering these barriers. The research study likewise forecasts the capacity of these materials in ushering in a brand-new period of optoelectronic devices, identified by boosted effectiveness, lowered environmental impact, and more comprehensive application scope, consisting of in renewable resource and wise innovation. In synthesizing these understandings, the research aims to offer a much deeper understanding of the current state and future trajectory of two-dimensional organic materials in optoelectronics. It emphasizes the vital of interdisciplinary collaboration in material science, engineering, and industry to utilize these innovations for useful applications, thereby forming the future landscape of modern technology and sustainability.
Scientific Literacy, Professional Development, and Support of Teachers in Selected Kindergarten Schools in Guiyang City, China
Authors: Zhu Liping
Published: June 2024

The study aimed to address the critical issues of scientific literacy among the selected kindergarten teachers by comprehensively assessing their current level of scientific literacy and identifying the influencing factors. The research design was a descriptive quantitative design aimed at assessing and developing the scientific literacy of kindergarten teachers. The primary respondents of this study were teachers from three selected kindergartens in Guiyang City, Guizhou Province. These 147 teachers were responsible for the care and education of children aged 3 to 6 years old in three different early childhood institutions. By focusing on kindergarten teachers, recognizes the direct influence of teachers' scientific literacy on children's scientific literacy in the critical period of children's development. The study concluded:1. The main characteristics of kindergarten teachers in Guiyang City include a predominant age distribution of less than 25 years old, a preponderance of females, a predominance of undergraduate degrees, and a preponderance of 0-3 years of experience in kindergarten teaching. These characteristics provide basic information for understanding the overall literacy level of teachers.2. The overall level of scientific literacy of kindergarten teachers is good. Teachers' mean score of 3.04 in the areas of scientific knowledge, instructional practices, and use of resources indicates that teachers overall have a good level of understanding and application of scientific literacy.3. The personal background of kindergarten teachers had less influence on scientific literacy. Educational background factors such as age, gender, academic qualifications and teaching experience had a small effect on teachers' level of scientific literacy, indicating that educators had relatively consistent levels of scientific literacy across different characteristics.4. Kindergarten teachers are actively involved in professional development. Teachers' mean score for professional development and support was 2.89, indicating that teachers as a whole were actively involved in professional development activities and received some level of support.5. kindergarten teachers' personal backgrounds had less impact on professional development. There were no significant differences in the level of career development and support among teachers of different ages, genders, academic qualifications and teaching experience, indicating that these factors have less influence on teachers' career development support.6. Scientific literacy of kindergarten teachers is significantly associated with career development. There is a significant positive correlation between teachers' level of scientific literacy and their career development and support, emphasizing the importance of improving teachers' scientific literacy for their career development.
Analysis of the impact of the Olympic Games on the economic growth of host countries based on the ARIMA model
Authors: Wang Yanrui
Published: June 2024

The purpose of this paper is to investigate the impact of the Olympic Games on economic growth, with a particular focus on changes in gross domestic product (GDP) in China and the United States. By applying the ARIMA model, the GDP trends of the two countries during the period when they do not host the Olympic Games are predicted. The construction of the ARIMA model involves three core steps when dealing with time series data. First, the collected data are analyzed in depth and reasonable assumptions are made on this basis. Next, in view of the characteristic volatility of time series data, the difference method is used to eliminate non-stationarity and ensure the smoothness of the data series. Finally, by combining the observations with the lagged observations of the moving average model residuals, to ensure that the model can accurately capture the characteristics of the time series data. After completing the model construction, this paper further compares the changes in GDP and tourism indicators of the two countries before and after the Olympic Games. Through the comparative analysis, it is confirmed that hosting the Olympic Games has a positive contribution to the economic growth of the two countries. These conclusions not only provide valuable references for policy makers, but also provide strong support for the economic impact assessment of cities hosting the Olympic Games in the future.
Scalability and Performance Optimization Strategies in Large-Scale System Architectures
Authors: Wu Qiang , Lazaro Joan
Published: June 2024

This paper aims to break away from traditional thinking paradigms by introducing theories and methods from complexity science to provide innovative and effective solutions for scalability and performance optimization of large-scale system architectures. The paper first constructs a complex network model for large-scale system architecture, which includes nodes (services), edges (interactions), and global attributes, along with dynamic models reflecting key metrics such as system performance and scalability, providing a theoretical foundation for subsequent research. Subsequently, from a complexity perspective, it innovatively proposes scalability strategies, including adaptive scalability strategies for complex network optimization, data-driven complex system regulation, and elastic computing and service orchestration mechanisms. In terms of performance optimization, it applies tools such as complex systems observation theory and network flow theory to explore insights and breakthroughs in complexity related to full-link performance monitoring and diagnostics, asynchronous communication, task scheduling, and software-hardware collaborative optimization. Finally, the paper summarizes the research findings, distilling the core concepts and methodological innovations of scalability and performance optimization strategies from a complexity perspective. It also looks ahead to the prospects of further integrating complexity science and information technology in the future, along with potential research topics in new scenarios and challenges.
Review of Research on the Impact of Blockchain Technology on Supply Chain Operational Decision Making
Authors: Lan Bingli
Published: June 2024

Blockchain is closely integrated with supply chain management, which can effectively avoid the tampering of real information and realize the effective traceability of supply chain information. At present, how blockchain technology empowers the supply chain and how supply chain operation decision-making has become a hot issue in current supply chain management research. This paper combs through the relevant research on the impact of blockchain technology on supply chain operation decision-making, takes different kinds of supply chains as the perspective, and divides the research into three major types: fresh e-commerce supply chain, shipping supply chain, and green supply chain, forming a literature review. The research results of relevant scholars are elaborated respectively, and the research on the impact of blockchain technology on supply chain operation decision-making is further summarized and the direction of future research is proposed.
Strategies and Methods of Firming Ideal Beliefs of College Students
Authors: Mudan
Published: June 2024

The purpose of this paper is to discuss the strategy and method of strengthening the ideal beliefs of college students. Firstly, the connotation and characteristics of college students' ideal beliefs are analysed in depth to provide a theoretical basis for the subsequent research on strategies and methods. Secondly, it analyses the problems and reasons for the current ideal beliefs of college students. Finally, a series of targeted strategies and methods are proposed to help college students to strengthen their ideal beliefs and promote their comprehensive development.
Research on the Development of Academic Ability of Chinese Graduate Students in Internationalised Education
Authors: Liu Lu , Liu Yang , Wang Fang
Published: June 2024

Graduate education is the main way to train high-level innovative talents. International graduate education is of great significance to improve students' scientific research and academic ability. With the deepening reform of graduate education in our country, there is a higher requirement for the cultivation of international graduate education. This paper focuses on the relevant theories of international education, discusses various practical forms of international education, and deeply analyzes the positive effects of international education on graduate students' academic ability, cross-cultural cognition and global vision. Finally, aiming at the challenge of international education to the academic development of graduate students, this paper puts forward the application strategy of international education in the process of graduate training.
Comparison of Deep Transfer Learning Models for Pest Image Classification in Agriculture
Authors: Huang Qixuan
Published: June 2024

In the field of agriculture, crops are susceptible to attacks by pests. Accurately identifying and classifying crop pests, especially in their early stages of growth, is a significant challenge. Convolutional neural networks have become effective instruments for agricultural pest classification because of their capacity to extract and learn intricate information from photos. This study explores the use of transfer learning methods to compare efficient models with complex models to improve the effectiveness of pest and disease classification. The purpose of this study is to compare efficient models with complicated models using transfer learning techniques in order to increase the accuracy of pest and disease classification. By conducting experiments on the same pest and disease dataset, this research compares their performance in terms of accuracy, model size, computational resource consumption, and practical feasibility in real-world applications. The research results clearly demonstrate the performance comparison between different models, with efficient models excelling in some aspects while large models have advantages in others. This study contributes to better understanding for decision-makers in the agricultural sector on how to choose the appropriate deep learning models to enhance crop protection and increase yields.
Neuromorphic Devices Based on Two-Dimensional Materials and Their Applications
Authors: Li Tongxuan
Published: June 2024

Neuromorphic computing, inspired by the human brain, utilizes thin 2D materials like graphene for their unique electronic properties. These materials are crucial in creating efficient, high-performance computing devices. This paper discusses the synthesis methods for 2D materials, including chemical vapor deposition and mechanical exfoliation, and their integration into neuromorphic device architectures such as transistors and memristors. The paper explores how these devices emulate synaptic behaviors and neuronal activities through charge transport mechanisms, ion migration, and the exploitation of material defects. Applications in artificial intelligence, edge computing, sensor networks, and robotics are highlighted, showcasing the potential of 2D materials to revolutionize these fields. The paper also addresses the challenges related to scalability, uniformity, and energy efficiency, and concludes by offering perspectives on future research directions in this burgeoning field. This comprehensive study underscores the significance of 2D materials in advancing neuromorphic computing, paving the way for more efficient, powerful, and brain-like artificial intelligence systems.