bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis and Suggestions on the Current Situation of Specialized English learning of Vocational College students -- A Case Study of Accounting Students in Sino-foreign Cooperative Education
Authors: Si Si
Published: May 2023

Sino-foreign cooperation education is a new mode of school-running model, which is characterized by introducing high quality educational resources from abroad to promote the development of higher education. In this paper, accounting majors of higher vocational colleges in Sino-foreign cooperative education are taken as the research object, questionnaires are issued, and the collected data are statistically analyzed to understand the problems existing in students' learning of specialized English. The teaching effect of accounting professional English in higher vocational colleges can be improved by optimizing the teaching staff, changing the teaching methods, strengthening the construction of teaching materials and stimulating the intrinsic learning motivation of students.
Analysis of Reading Literacy in the PISA Examination and Its Enlightenment to Chinese Reading Education
Authors: Kong Dan , Li Heng
Published: May 2023

The Programme for International Student Assessment Test (PISA) is a particular research organized by OECD to assess students’ extensive knowledge and skills from different areas of the world. The excellent performance of Chinese students in PISA has attracted wide attention from the world. Maths subjects of Chinese students in PISA are particularly strong, followed by science, and reading scores are also relatively good, but are the weakest. At the same time, compared with other subjects like Maths, Chinese language education has always been criticized for taking too much time and being inefficient in China mainland teaching field for a long time. World learn from China. China also learns from the world. By focusing on the reading content of the PISA test, the paper reflects on the content brought by the PISA reading assessment framework and evaluation criteria, aiming to find the international elements of reading education and giving some enlightenment to Chinese language reading strategies.
Research on the Impact of Chinese Enterprise Transformation on Knowledge Employees based on the Three-pillar Model
Authors: Su Liuchang
Published: May 2023

As a new theory and practice model in the field of human resource management, the HR three-pillar model has shown a strong driving force for the value appreciation of human capital through the successful practice of some enterprises since it was introduced in China in recent years and has gradually become a new trend in the transformation and upgrading of human resource management in Chinese enterprises. This study uses the methods of literature analysis and case analysis to explore the impact of this emerging theory on knowledge-based employees from the perspectives of employee motivation, work complexity, organizational identity, etc. Based on these perspectives, this study the value it brings to Chinese enterprises to improve their intellectual capital, summarize the existing problems, and analyze the deep reasons behind the successful implementation of the three-pillar HR model in Chinese enterprises represented by Tencent. From the perspective of internal and external collaboration, this study puts forward specific optimization suggestions that have practical significance to provide direct guidance and practical inspiration for the future development of human resources management in Chinese enterprises.
A Study of The Aesthetic and Cultural Characteristics of Video Art in Mainland China in The Digital Age
Authors: Meng Yuan
Published: May 2023

The digital age has brought sweeping changes to China, and the creation of different types of online media has, to a certain extent, promoted the development of video art in China. However, the digital age is also a double-edged sword, and new technologies and the general online environment have brought enormous challenges to the development of video art. In order to promote the sustainable and stable development of video art in China, this paper examines the aesthetic and cultural characteristics of video art in mainland China in the digital age. After a brief analysis of the development of video art in mainland China and the aesthetic shift and aesthetic occurrence mechanism of video art in the digital age, the paper analyses the aesthetic characteristics of video art in mainland China in terms of interactivity, entertainment, realism and plasticity, and then analyses the cultural characteristics of video art in mainland China in terms of its sense of depthlessness, messiness, postmodernity and the subject of work creation.
Research on Financial Analysis and Development of Starbucks
Authors: Chen Yinan , Wang Yuxuan
Published: May 2023

With the gradual relaxation of epidemic control measures, the advent of the post-epidemic era has far-reaching implications for the development of the coffee industry and other service industries. This paper focuses on Starbucks' financial ratios for the past three years based on its official annual report for the fiscal year 2021, using data from both the balance sheet and income statement. By comparing the financial ratios of the past three years, the paper examines Starbucks' financial situation in terms of profitability and capital flows; and explores the value of Starbucks' development in the post-epidemic era. The paper finds that Starbucks can positively reverse its losses from the 2020 epidemic through strategic reforms such as market innovation in the post-epidemic era, with overall profitability falling within the recovery period. Based on value chain analysis and data analysis of Starbucks' 2019-2021 financial statements, this paper makes a judgment on Starbucks' profitability and provides prudent investment recommendations for Starbucks' investors.
The Influence of Availability Bias in Marketing Strategy on People's Shopping
Authors: Liu Kaiyuan , Yao Leyi , Zhang Mingshu
Published: May 2023

This paper mainly explained the influence brought by availability bias. The effect of availability bias can be significant, so it's used widely in advertising in many ways. So this essay discusses the likely effect of availability bias on consumers. Some advertisement that are related to availability bias are listed and evaluated. The questionnaire method was used by the team to conduct an investigation and thus reach the final conclusion. The research is aim to find out the negative effects of availability bias in advertisement and try making the public avoid it.
Research on the weak-form efficincy of China’ s carbon trading market by time series analysis
Authors: Zhu Xunuo
Published: May 2023

As the world's largest carbon emitter, China has made great efforts to achieve its carbon peak and carbon neutral targets. China has adopted the carbon trading market as an important means to achieve its goals and set up seven carbon trading pilot markets from 2013 to 2015. Studying the efficiency of China's pilot carbon emissions trading market is an important guide to the construction of a unified market of carbon in China and the achievement of carbon neutrality targets. Based on the efficient market hypothesis (EMH), this paper verifies the weak form efficiency of the Chinese carbon market through unit root test, run test and variance ratio test. The paper finds that compared to the previous literature, the effectiveness of China's carbon market has improved after using the latest data, and it can be argued that the Chinese carbon pilot market has initially achieved the initial level of efficiency.
Analysis of BYD based on Financial Data
Authors: Li Zhiqi
Published: May 2023

Out of environmental protection and long-term development needs, new energy automobiles have gradually received public attention and preference in recent years. The new energy automobile industry is developing rapidly, and many new energy vehicle enterprises are actively exploring the industry market to further deepen the development of new energy vehicles. In the world, the more famous enterprise is Tesla. In China, there the more famous enterprise is BYD. The article selects BYD to study and provides suggestions for the development of domestic new energy automobile enterprises. The article analyzes BYD's performance in terms of earnings, operations, liabilities, and development, mainly through BYD's financial data and a side-by-side comparison between BYD and Tesla. Compared with Tesla, BYD has a large gap in profitability, but has a strong development capability, and has the potential to catch up or even surpass Tesla's position in future development.
Influence of Holding Major Sports Events on Urban Economy
Authors: Sun Yang
Published: May 2023

Last year's Tokyo Olympics had a great impact on the host country's economy. Due to various reasons, this Olympics has caused a lot of losses. Now the 2022 Qatar World Cup is coming as scheduled, and the Qatar World Cup cost more than 200 billion U.S. dollars, making it the most expensive one. At that time, people from all over the world will come here. Of course, it will bring about the development of related industries and positive benefits, but it is still unknown whether it can help the host country make profits and whether it will have any adverse effects on the economy. To this end, the post-match income of major sports events over the years, especially the Olympic Games and the World Cup, has been searched and studied. In the end it was found that very little turned out to be profitable. Not only would most cities lose money, but the stadiums would be abandoned. A profitable experience was found through the success of several major hosts.
SWOT Based Analysis of the Impact of Prepayment Business Model on Brands and Consumers-Starbucks as an Example
Authors: Li Chenyi , Sheng Ruiyuan
Published: May 2023

The prepayment business model means that customers give retailers credit first, make payments in advance, and put off using the goods or services. This business strategy acquires clients by means of discounts on prepaid consumer cards, which is advantageous to the firms to withdraw cash and lock in customers. The limited edition prepayment physical card may be collaboratively customized with a variety of artistic and cultural works, promotional campaigns can be jointly launched using the prepayment business model.However, because this business model uses credit to advance product or service fees, consumers are in a weak position after payment and are vulnerable to infringement and fraud by bad businesses, so the reputation of this business model is polarized. Businesses typically offer significant discounts on prepaid consumption. In order to analyze the SWOT technique and the good and negative effects of the prepayment business model on enterprises, this article will use Starbucks as an example. According to the report, prepayment business models are used by retailers with solid financial standing and excellent company credit to build customer loyalty, secure a steady cash flow, and maintain a deposit pool. Under this consumption model, consumers might profit from the discount.
Comparative Study of Hedging Models in US
Authors: Xiao Minghua
Published: May 2023

This study focuses on the use of three dynamic hedging models in the American stock market, and it computes the dynamic correlation coefficient, dynamic hedging ratio, and hedging effectiveness of three common models (DCC, BEKK, CCC). This paper fills in the gaps in the application and comparison of three hedging models commonly used in the US stock market during the pandemic. The results showed that NASDAQ index and futures were highly correlated and had significant volatility spillover effect before and during the epidemic. The hedging efficiency of the three models before the epidemic was higher than 0.931, and the hedging efficiency of the three models during the epidemic was higher than 0.936. It is proved that futures hedging is a good way to avoid risk no matter before or during the epidemic, and the highest hedging efficiency is dcc-garch.
Portfolio Optimization Using Markowitz Model and Index Model – A Study on 10 Selected Stocks
Authors: Dai Leran
Published: May 2023

Portfolio optimization nowadays plays a significant role in financial industry. This paper aims to analyze the asset allocation of technology, financial services, and consumer defense industries. Ten representative companies were selected from these industries. At the same time, the difference between Markowitz model and Sharpe single index model is observed by using the three constraints of quantification of actual financial market factors. On this basis, this paper optimizes the asset portfolio. This result shows that: first, the correlation coefficient between SPX500 and listed companies is very high, which is a good choice in the portfolio of balancing risk and return. Second, we test several portfolios under 3 constraints, and it is found that a higher return always occurs with a high risk. Third, without the consideration of SP index, investors can get the highest return. The results in this paper may shed light on the financial investors.
Changes in China’s Global Investment Strategy During the Post-Epidemic Era
Authors: Liu Hong
Published: May 2023

The emergence of COVID-19 has put the world into a state of tension. Now that the situation has finally been eased, this paper analyzes the various problems during the outbreak from the perspective of China. One part of the problem comes from domestic, a large number of small and medium-sized enterprises due to various policies of the epidemic led to contract default, and finally the capital chain was broken. The other part of the reason is the international market. The sanctions imposed by the United States and Europe and the outbreak of the Russia-Ukraine conflict have created a tense atmosphere around the world. Although China claims to remain neutral, it is clear that the United States and Europe will not let the world's third largest military power stay out of the way. A series of sanctions have forced China to respond. In this paper, the author will make an analysis based on the data available online, mainly focusing on the increase or decrease of China's outbound investment. Obviously, China's investment in Europe and the United States has dropped dramatically during the pandemic, but it is not expected to last long. As the epidemic ends and the international market enters a period of stability, a series of problems facing China will be gradually solved.
Alpha Strategy for Stripping Beta Returns for Pure Bond Funds
Authors: Fan Jingwen
Published: May 2023

Contemporarily alpha strategy is favorable by investors and funders for its stable performances among volatility market. Although alpha strategy shows great extra returns, it might have great drawdown on account of the stochastic fluctuations of the market (e.g., hedge funds’ poor performance during COVID-19 early state including Bridge Water). Despite from stocks and futures, the bond funds are rather a low volatility type underlying assets, hence the alpha strategy based on pure bond will be more favorable for risk aversion investors. By building a five-factor model, this paper dissolves the returns of pure bond funds to the five factors of level, slope, convex, credit and default, which are separated from each other, and Alpha, which is not directly explained by the factors, and verifies the effectiveness of this alpha factor for selecting pure bond funds. Taking 2019 to 2022 as the time interval, the group backtest results show that the alpha factor stripped of beta has a good effect on the selection of pure bond funds in China's public offering fund market, and the base selection ability is better than the Sharpe Ratio and other traditional risk-return factors. Overall, these results shed light on guiding further exploration of portfolio construction with high alpha based on bond funds.
Opportunities and Challenges of Financial Accounting in the Era of Big Data
Authors: Yu Jiayi , Zhu Lina
Published: May 2023

With the continuous development and application of Internet, Internet of Things, artificial intelligence and other technologies, big data has become one of the important driving forces of current social development. Financial accounting is a key financial service that plays an important role in the healthy and stable development of the financial industry. In the era of big data, financial accounting is facing opportunities and challenges. Through an in-depth discussion and analysis of the opportunities and challenges of financial accounting in the era of big data, we can better guide the development direction of financial accounting and improve the level of financial accounting. In this paper, the opportunities and challenges of financial accounting in the era of big data will be discussed and analyzed from several aspects, including opportunities, challenges, and response strategies. Through the research of this paper, the development direction of financial accounting and the level of financial accounting can be better guided.
Exploring the development of green finance in China
Authors: Pan Chengyu
Published: May 2023

With the continuous introduction and implementation of various standards for green finance, it will effectively promote and regulate the healthy and rapid development of green finance in China, and China's green finance will see the gradual unification of standards. The Chinese government has been committed to promoting the development of green finance. Green finance refers to supporting the development of environmental protection, energy conservation, clean energy, green transportation, green buildings and other fields through financial means, aiming to promote environmental protection and sustainable development.
The Research of Preliminary Annual Results Quality, Nature of Property Right and Audit Fee
Authors: Pan Yi , Qi Bowen , Yan Xiaoci
Published: May 2023

Based on the gradual normalization of voluntary performance letter disclosure, this paper chooses the data of Chinese main board-listed companies from 2013 to 2020 and uses multiple regression analysis to explore the impact of preliminary annual results quality on audit fees and the regulating mechanism of property rights. The results show that the quality of preliminary annual results can assist auditors to assess audit risk levels, and then affect audit fees. In addition, in the periodic regression analysis, there is a significantly positive correlation between the preliminary annual results material misstatement and audit fee. By comparison, private enterprises have a more significant positive correlation between material misstatement and audit fees.
Analysis on Long-term Competitiveness of Pinduoduo: Development Prospects and Suggestions
Authors: Wu Xiangying
Published: May 2023

The e-commerce industry’s development is a critical topic in the post-epidemic era. Some researchers have found that the advent of the epidemic era and the emergence of the post-epidemic era have had a significant impact on the development of the e-commerce industry; however, among them, compared with the head - Taobao and JD, Pinduoduo’s performance since its listing has been more prominent, but there are still research gaps on the long-term competitiveness of the platform. Therefore, by analyzing the existing marketing modal and making assumptions about future development, this paper explores the breakthrough points of the Pinduoduo platform in the e-commerce competition to develop long-term competitiveness. The research shows that based on the advantages of price on the Pinduoduo platform and the selection advantage of “innovation points”, it is suggested that the Pinduoduo platform can continue to consider keeping prices low and strengthen the innovation of agricultural products and overseas markets to enhance the long-term competitiveness of the platform.
The Tripartite Pattern of Sharing Bicycles in China: Future Development of Hello bike
Authors: Wang Jiawei
Published: May 2023

Sharing economy is an emerging economic situation in China. After years of development and the failure experience of enterprises testing the water, it has finally formed a more mature three-way structure with shared bikes as the primary form of Hellobike, Qingju, and Meituan. This paper makes a comparison between Hello Bike and its competitors by case analysis, analyzes the competitive strategy and competitive advantage of Hellobike with Porter’s five forces model, and explores the competitive strategy and competitive advantage of the typical blue, orange bike with 4P strategy to study the future competitive strategy of HelloBike. And put forward some suggestions for its future competition in domestic sharing economy enterprises to help Hello Bike avoid being monopolized and gain more competitiveness in the market.
Study on the Management of Sourcing Uncertainty in Intermediaries Selling Expired Foods
Authors: Du Yulin
Published: May 2023

Currently, as the snack food industry in China continues to grow, so does the advent food industry. With increasing academic interest in advent foods, the advent food industry is one of the key research topics today. Today's researchers have made in-depth progress in the direction of selling advent foods. However, there is still a research gap and a uniform interpretation and perception of how to ensure the certainty of the source of advent foods. Therefore, the research topic of this paper is to study the uncertainty of supply governance for the middlemen of the sale of advent foods. The research methodology of this paper is as follows: firstly, the author analyzes the causes of uncertainty in the supply of the middlemen in the sale of foodstuffs in the interim period.  Then the author investigates the strategies based on the causes, so as to provide solutions to the uncertainty in the supply of the middlemen in the sale of foodstuffs in the interim period. Based on the technical environment of big data, this paper mainly discusses the uncertainty of the supply of critical food sources and proposes corresponding suggestions for critical food sales intermediaries to solve the uncertainty of the supply of critical food sources.
M&A Goodwill in Chinese A-share listed companies: Findings from Industrial and Regional Perspectives
Authors: Yang Zixu , Wei Shan , Li Yuju , Li Fan
Published: May 2023

Based on the data of China's A-share listed companies from 2007 to 2021, this paper conducts a multidimensional statistical analysis on the confirmation and impairment of M&A(M&A) goodwill of listed companies from the perspective of industry and region. The results of statistical analysis show that:(1) On the whole, the changes of goodwill related indicators can be divided into three stages: small M&A in the budding stage; the sharp increase of goodwill and risk of its impariment in the boom stage; the order and standardization in the stable stage.(2) In terms of industry, the number of listed companies in the Manufacturing Industry was the largest, and their goodwill changes were the most representative. Goodwill in Culture, Sport and Entertainment and Health and Social Work was of low quality and high risk. Hotel and Catering Sectors, Mining and Transportation, Storage and Postal Services were the "goodwill-high-quality" industries. Agriculture, Forestry, Animal Husbandry and Fishery, Scientific Research and Technical Services, and Comprehensive Service belonged to the "goodwill-conservative" industries.(3) In terms of region, North China, led by the Beijing-Tianjin-Hebei economic circle, was the leader in China's M&A market. In the budding stage, there was little confirmation for goodwill and provision for goodwill impairment in regions outside North China. During the boom stage, goodwill related indicators rose sharply in all regions. In the stable stage, the value of goodwill in each region did not change much, but the average value of provision for goodwill impairment increased, especially in northeast China and central China.
Anchoring Effect and People’s Behaviour Decision Making: A Case Study
Authors: Miao Xindan
Published: May 2023

Many people may not have a systematic understanding of the anchoring effect theory, but they are often dominated by this behavior. The anchoring effect is widely used in economic and consumer decision-making behavior, and people often use it unconsciously or consciously, and it is seriously affected in judgment. This paper intends to conduct a comprehensive and systematic study on the anchoring effect to find out how the anchoring effect works in people's lives, in corporate pricing, and in marketing. This article adopts literature analysis method and case analysis method. Firstly, through the literature review, the development and theoretical framework of the anchoring effect are systematically sorted out. Secondly, this paper selects typical cases such as life consumption, corporate behavior, and company marketing to analyze how companies use anchoring effects to achieve their goals, and how consumers are affected by them. This paper finds that the anchoring effect is a common cognitive bias. If companies can make good use of this theory for pricing, publicity, and marketing, they will receive unexpected success. For individuals, they should take the initiative to avoid being affected by the anchoring effect and stick to their own ideas. This paper hopes that through this research, readers can have a clearer understanding of the principle of anchoring effect, and consumers can improve their ability to identify anchoring marketing. This paper also hopes that through this research, readers can have a clearer understanding of the principle of anchoring effect. Enterprises can moderately use this theory to promote products, and corporate consumers can improve their ability to identify anchor marketing.
Analysis of Willingness to Pay for Second-hand Clothing from the Perspective of Endowment Effect
Authors: Bu Weiao
Published: May 2023

The study analyzes the influential factors of the willingness to pay (WTP) in the used clothing market, and the endowment effect is taken into consideration. Endowment effect means that people tend to have a higher evaluation of what they own than before, and although endowment utility is a psychological behavior, it plays a very great influence in reality, and this influence cannot be ignored. This research first introduces the theoretical concept of WTA-WTP. WTA is the selling price the seller is willing to accept, while WTP is the price the buyer is willing to pay and describes which factors change the WTP. The WTP is the maximum price a consumer will pay, and the WTA is the minimum price a consumer will accept. When a consumer will trade for a good, it means that WTP equal to the WTA. The final factors influencing WTP can be divided into reference price, mental factors of purchase intention for basic physical needs, ecological concern and hedonism. The paper holds that all these factors affect buyers' willingness to pay from the perspective of endowment effect.
Analysis of Demand for China’s Commercial Health Insurance from the Perspective of Loss Aversion
Authors: Song Xinshan , Zheng Yuxiao
Published: May 2023

China's health insurance industry has been developing continuously since its emergence in the 1980s, but at this stage, China's social security system is still at a relatively low level of development, and people's expenses incurred in a variety of medical needs cannot be given by the current social security system, while commercial health insurance has made a good supplement to this, ensuring people's practical interests, and is also its biggest competitive advantage. This paper lays out an overview of its market size, product structure and security degree, followed by effective suggestions of improvement in relation to the behavioral economical concept of loss aversion. The irrational misunderstanding of health insurance and the resulting problems of lack of insurance, insufficient coverage, excess insurance and double insurance have been puzzling the sustainable and healthy development of health insurance, which is also a hot issue of general concern at home and abroad. According to analysis of possible improvement measures about the effect of loss aversion on citizens, optimizing claims and modifying health service models in a desirable way will mitigate the loss aversion effects when purchasing commercial health insurance.
A literature review of a cognitive heuristic: The anchoring effect
Authors: Liu Yufan
Published: May 2023

The anchoring effect has gained popularity as a cognitive heuristic that aims to explain judgment errors people may make in their decision-making process. This article reviews and documents the literature in this area and finds that there is ample and extensive research available on this topic. By summarizing the results of previous research, it is found that the anchoring effect is a pervasive judgment bias when people are in an uncertain decision-making environment, taking different forms and having varying degrees of influence on decision outcomes. Therefore, this paper aims to summarize the existing findings and build on them for further exploration. To achieve this, the paper takes the type of anchor as an entry point and analyzes how externally provided anchors and decision makers' self-generated anchors respectively influence the decision-making process. Afterward, the article further explores the underlying logic of the anchoring effect through its two explanatory models. Since the anchoring effect has long been considered one of the most robust and common cognitive heuristics, this article then demonstrates the breadth of its application by documenting the various domains in which it has been shown to occur. Finally, this review article suggests several methods in which each of the two types of anchors can be weakened to some extent.
Why Providing Return Policies for Probabilistic Selling
Authors: Zhao Yuyang , Yang Hui
Published: May 2023

Probabilistic selling, whereby the exact identity of a product remains unknown until after purchase. The existing literature on probabilistic selling primarily focus on its attractiveness under the non-refundable condition. In this paper, we aim to study whether probabilistic selling integrated with return policies is still a lucrative marketing tool. This is an important new inquiry because of the prevalence of return policies in E-commerce platforms as well as heterogeneity in consumer preferences occurring in almost all markets. We develop a game-theoretic model to capture the fit uncertainty stemmed from online purchasing and the assignment uncertainty rooted in the stochastic assignment of probabilistic products. We characterize the seller’s optimal pricing and integrated strategies of probabilistic selling and return policies. We find the attractiveness of the probabilistic selling strategy and its return policies depends on the degree of the fit uncertainty and the assignment uncertainty. Counterintuitively, we find that sellers should decrease rather than increase the customer hassle cost of returns. The higher prices of component products are used as an additional lever to suppress customers' return of the probabilistic products. We demonstrate the integrated strategies of probabilistic selling with return policies, as a general marketing tool, can be more valuable than a separate one. The integrated strategies can create a win-win situation, improving both profit and consumer welfare.
Risk and Control of Cross border E-commerce Enterprises from the Perspective of Internal Audit
Authors: Zhang Hao
Published: May 2023

From the perspective of internal audit, exploring that cross-border e-commerce is the main form of popular enterprise development at present and an inevitable product under the Internet. However, it is precisely in this environment that compared to the audit work of traditional business industries, the audit business conducted by cross-border e-commerce enterprises will generate larger business and the transaction process is relatively more complex, which requires the supervision and evaluation function of internal audit, Strengthen internal management and enhance transaction standardization, identify, analyze, evaluate, dispose of, and mitigate risks more efficiently, and establish a comprehensive and full process risk warning system. Therefore, establish a control mechanism led by internal audit, integrating internal audit throughout the entire process of cross-border e-commerce risk control, and promoting the healthy and sustainable development of cross-border e-commerce enterprises.
Popularity Prediction of Music by Machine Learning Models
Authors: Xing Zehao
Published: May 2023

Each piece of music has a considerable amount of information and attributes, and each listener has their own unique taste in music, with some songs being very popular and others being relatively niche. It becomes worthwhile to examine what kinds of music are more popular. It’s clear that in this subject, the analysis and study of the available data is a "crucial first step". In this paper, we use several fitting models in machine learning as the theoretical basis, using pandas, sklearn, xgboost, and other related tools in python, to predict the popularity of music based on a dataset of music information originating from Kaggle The most suitable machine learning model is founded for predicting music popularity and the effectiveness of its fit are evaluated. This study provides a methodological basis for finding the factors influencing music popularity in post-order studies and can be a key study in determining the factors that influence the popularity of music in the future.
Application of Bayes Theorem to Accident Analysis and Classification
Authors: Xu Chengjiang
Published: May 2023

In today's social context, "data" is a very common term. Data Science, Data analysis and other applications on different levels of Data have become very popular topics and even jobs. The main topic to be analyzed in this paper is Bayesian theorem. Bayesian theorem is a basic theorem in statistics, but with sufficient data support, Bayesian theorem can be applied in many fields. In this paper, this paper will analyze the application of Bayes' theorem in these two aspects: Bayes Theorem to Accident Analysis and Bayes Theorem to Classification. In terms of Bayes Theorem to Accident Analysis, this paper will analyze three papers that use Bayesian theorem to analyze accidents. In these papers, the authors have used Bayesian theorem to analyze different accidents. These accidents are: The causes and analysis of engineering accidents in mining areas, the analysis of causes of roof accidents in coal mines, and the analysis of the causes of highway traffic accidents. way of accident. In terms of Bayes Theorem to Classification, most of the authors use naive bayes to classify different data sets. The benefits of this classification are that whenever new data enters, researchers can easily classify new data sets. Incoming data is categorized.
Lagrange’s Theorem in Group Theory: Proof and Applications
Authors: Zhu Peiyu
Published: May 2023

There are many propositions in group theory, among which Lagrange’s theorem is a representative example and its own meaning can be taken as a generalization of the Euler's theorem resulting from the number theory. Lagrange's theorem can be understood as follows. Suppose that  is a group and  denotes a subgroup of . This theorem clarify that the order of a subgroup  divides that of a group .The conjecture and discovery of Lagrange's theorem has led to the establishment of a unique framework in places such as calculus and statistics, allowing a certain interpretation for some problems. This paper presents the corollaries and applications of Lagrange's theorem, which can help to understand the properties of Lagrange's theorem easily, and can help to familiarize with how to apply Lagrange's theorem on various propositions. The basic concepts and fundamental theories of groups, rings and domains are the main contents of modern algebra, and the companion set and exponent are the most fundamental concepts in group theory.
Using Abalone’s Physical Features to Predict its Age
Authors: Zhang Chengyuan
Published: May 2023

Abalone is one of the most delicious and highly-prized seafood around the world, its deliciousness also makes the abalone industry a non-negligible part of the global economic circle, a lot of people and countries rely on abalone for their lives and economy. Therefore, it means a lot for us to study about abalone and it’s population. However, as a necessary step when studying about abalone, getting the age of abalone is a very complicated and time-consuming task. That’s why we need a model to help us predict the age of abalone according to it’s physical measurements which are easy to acquire. The project considered three models, linear regression model, polynomial regression model and Random Forest. 10-fold cross validation is used to compute the mean square error, multiple R square is also considered when evaluating the models. In the results, the polynomial model is the best model among three models, with lowest mean square error and largest R-square. The research provides us with a model to get the age of abalone in an easy and convenient way, which makes the study about abalone more convenient and thus be beneficial for the development of abalone industry.
Improved Models for Diabetes Prediction by Integrating PCA Technique
Authors: Yao Lu
Published: May 2023

Diabetes is an incurable, chronic disease indicated by hyperglycemia. It may lead to severe complications and is consequently one of the top ten causes of mortality in recent years. Fortunately, early detection can significantly aid in disease management. Based on their regular medical checkup results, people can make a preliminary evaluation of their risk of having the condition with the help of machine learning techniques. In this study, diabetes is predicted using Extreme Gradient Boosting (XGB), Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and K-Nearest Neighbor Algorithm (KNN), ranked in descending order of accuracy. XGB comes out on top with an accuracy of 87.29%. The dimensionality reduction approach Principal Component Analysis (PCA) is conducted, resulting in a maximum accuracy gain of 1.27%. The study's enhanced diabetes prediction models allow people to more accurately gauge their risk of developing the condition. More potential patients would be notified to get checked, enhancing the disease's early detection rate.
A Study of Home Audiences Affects the Team’s Performance
Authors: Zou Kaisi
Published: May 2023

Home field advantage and referee bias are common in football matches, and many relevant studies suggest that audience is an important factor affecting these two phenomena. This paper selects Arsenal's first eight rounds of premier League matches in their home field in 2020-2021 as the research object, and uses mathematical statistics method to analyze the influence of live audience on the home advantage of Premier League matches by taking the audience as the dependent variable and the four indicators of home advantage (points, goals, shooting, red card and yellow card, foul times and possession rate) as the independent variable. The results show that the home court advantage of games without spectators is lower than that of games with spectators. In the games without spectators, there was no significant difference between home and away games in the five indicators reflecting the sum of home advantage. Therefore, the loss of audience reduces home field advantage.
The Solutions to Traveling Salesman Problem
Authors: Liao Shuran
Published: May 2023

This paper presents solutions to symmetric, asymmetric, and multiple traveling salesman problems. In the symmetric traveling salesman problem, one salesperson must go to five cities, making precisely one stop at each location. A matrix with the distances between each city is provided. Using the branch and bound algorithm and expressing it in Python, the final result is obtained. The formulations of the asymmetric traveling salesman problem and the multiple traveling salesman problem are demonstrated in the paper. The asymmetric problem in the paper is solved by transforming the asymmetric traveling salesman problem into a symmetric traveling salesman problem; then, the branch and bound algorithm has been applied to solve the problem. In the multiple traveling salesman problem, three salesmen are required to visit seven cities in total, each of which is only visited by one salesperson once. Each city is a point in an x-y plane, and the coordinates of all points are given in a graph. By formulating the MTSP problem with an assignment-based double-index integer programming and applying the constraints, the outcome is derived from Python code within a few seconds.
Factors Affecting China Birth Rate: Taking Shanghai as an Example
Authors: Zhu Zhongxi
Published: May 2023

China's birth rate has fallen off a cliff in the past few years, and the total birth rate has fallen below 10 per thousand. On January 17, 2022, the Chinese National Bureau of Statistics released China's economic data for 2021. The annual birth population was 10.62 million, and the birth rate was 7.52‰. But in 2016, that figure was still 13.57‰. Previous studies have explored various influencing factors, but further research is needed on the degree of influence of multiple factors on the birth rate. Based on previous research, this study adopts mathematical-statistical methods such as principal component analysis, correlation analysis, stepwise multiple regression, and ridge regression to analyze more influencing factors to explore and test the effect of these factors on the birth rate and uses the data of the Shanghai Bureau of Statistics from 2002-2021 for 19 years to try and judge which factors significantly affect the birth rate under the joint action. The validity of the judgment conclusion is tested by various data from Beijing and Guangzhou in 2021. Results of the study found that the per capita GDP, unit housing price, per capita disposable income, and resident consumption index do have an impact on the birth rate. Still, the government's financial investment and expenditure correlate highly with the birth rate data. This may be because government revenue and expenditure are more closely related to other factors affecting the birth rate. Other factors were not very closely related to the birth rate.
Use the ARIMA and EMG Models to Predict the Confirmed Cases and ICU Bed Occupancy Data of COVID-19 in Massachusetts and Compare the Accuracy of the Two Models
Authors: Cheng Xinrui
Published: May 2023

Beginning in 2019, COVID-19 has invaded our lives and continues until now. People are still being effort made to control the spread of the virus and treat patients. Two variables in COVID-19 data are confirmed data and ICU bed occupancy data. Collect the data, use the ARIMA model and EMG model to predict the data, and then compare it with the actual data. Through comparison, it is found that there is a small gap between the ARIMA predicted value and the actual data, which can be used to predict the data of these two variables. In the process of fighting against COVID-19, it is very important to strengthen medical service capabilities, adequate treatment resources, and strengthen the construction of ICU wards. The construction of ICU is very complicated and involves many medical equipment, including ventilator, infusion pump, electrocardiogram machine, extracorporeal membrane oxygenation machine (ECMO), oximeter and so on. Therefore, the accuracy of data prediction is very important. Sufficient ICU beds and medical resources can be prepared according to the forecast. Do a good job of safeguarding the treatment work and medical services to ensure the level and quality of patient treatment and avoid causing panic.
Research on the Relevant Methods and Technologies of Digital Watermarking
Authors: Yi Ding
Published: May 2023

With the diversification of recording equipment and the rapid development of Internet technology, it is easier to steal and spread movies, which makes the copyright protection of movies face great challenges. The technology of tracing the origin of movie piracy in cinemas provides strong technical support for film digital copyright protection by extracting the watermark information hidden in the film carrier, tracking and locating the playback server where the piracy flows out and the theater where the piracy occurs. In addition, the emergence of digital technology has led to the rapid spread and growth of electronic resources, such as photos, music and movies. It is convenient to access online information, but it also poses a challenge to the technical protection of intellectual property. Image watermarking, including watermark embedding and extraction, is a typical technology of copyright protection and ownership identification. In addition, because many software (such as modern browsers and video players) can easily display all these contents, adding image watermarks on the screen and avoiding information leakage in screenshots or screen recording has become an important application scenario of image watermarking. In this paper, we propose and discuss digital watermarking pipeline with some.
Big Data Analysis and Calculation of Capital Chain Break Risk Intelligent Path Identification Based on FISM Model
Authors: Dong Junting , Yang Canwei , Yu Lanqi
Published: May 2023

TIn the fierce market competition, small and medium-sized enterprises are frequently caught in financial difficulties or even bankruptcy due to capital chain rupture. Identifying and analysing the risk path of capital chain rupture and improving the operation and management of enterprise capital chains has become an urgent theoretical and practical problem. Based on the theoretical analysis of the causes of capital chain fracture, this paper puts forward 17 indicators to identify the possibility of capital chain fracture and scores the correlation degree to establish the fuzzy adjacency matrix of each indicator, and construct the FISM model to analyse it and finally draw a multi-level hierarchical directed graph. A complex system with a six-level hierarchical structure is obtained, and the relationship between the influencing factors of capital chain fracture in the financing, investment, capital management, operation management and capital recovery is obtained. Based on this, the risk path of enterprise capital chain fracture is identified and analysed. Finally, through the research and analysis of the capital chain rupture, the potential influencing factors are explored to achieve a virtuous cycle of the capital chain so that enterprises can survive and develop in an increasingly competitive market.
Study on the Preparation of C4 Olefins by Catalytic Coupling of Ethanol
Authors: Chen Yang , Wang Zheng , Tan Jiye , Zhang Siyuan , Liu Zihao
Published: May 2023

In this paper, we investigated the relationship between ethanol conversion, C4 olefin selectivity, and temperature by establishing a series of mathematical models. Specifically, the relationship between temperature and ethanol conversion and selectivity to C4 olefins is discussed by solving linear regression equations. In addition, the support vector machine regression (SVR) model was used to describe the effect of independent variables on the ethanol conversion rate and C4 olefin selectivity. Finally, we investigated the effect of temperature change on catalyst activity.