bluuebunny/crossref_metadata_2025 huggingface dataset:
Modelling and Analysis of Quantum Security Architecture for B5G Fronthaul Network
Authors: Kuang Yunyang
Published: April 2023

To satisfy the urgent requirements of security for fifth generation (5G) fronthaul network, quantum key distribution (QKD) technique is taken into consideration as a promising way. In this paper, we first propose an architecture for quantum security beyond fifth generation (B5G) fronthaul optical network, which merges facilities of QKD into the architecture of existing 5G fronthaul network, enabling quantum signals to be transmitted with classical signals within the same fiber. Secondly, theoretical model analysis of interference with quantum signals caused by four wave mixing noise is performed. Moreover, the theory of secure key rate calculation under noise interference is introduced. Lastly, the QKD performance in the proposed architecture is evaluated, which leads to the conclusion that even when the quantity of B5G fronthaul optical channels for classical signals reaches up to 12, the secure transmission distance of QKD is still beyond 20km, which satisfies the demand of B5G fronthaul optical network.
Realization of Wireless Remote Control Intelligent Street Lamp by Single Chip Microcomputer
Authors: Bao Zhihao
Published: April 2023

In order to better solve the huge power consumption of street lamps, it is not conducive to environmental protection and saving resources, and it is also to save manpower and financial resources. In this article, an infrared remote control LED light is designed, using the infrared control module and the single-chip control module, and also mainly used the characteristics of PWM combined with LED to save electricity. The designed LED light can be combined with the app on the mobile phone to realize the combination of software and hardware, and the control of the street light can be realized on the mobile phone. This article also propose to convert solar energy into electricity for street lighting, which is the direction of subsequent research and development.
The Principle and State-of-Art Application of Quantum Hall Effect
Authors: Wu Sijie
Published: April 2023

Contemporarily, quantum hall effect (QHE), as the quantum version of classic Hall effect, represented a turning point in the understanding of material physics, metrology, high energy physics, astrophysics. In the category of QHE, there are plenty of sub-types including fractional QHE (FQHE), anomalous QHE (QAHE), spin QHE (SPHE) etc. This paper will mainly focus on the latest progress and the state-of-art applications regarding to QHE. To be specific, a brief introduction of the principle of Hall effect and the differences among different types will be introduced. Afterwards, the applications will be discussed and demonstrated. Overall, these results would provide the audience a general view on QHE, and some recent applications regards it, which shed light on guiding further exploration for QHE.
Similarities of Influencers across Different Social Media Platforms by Using Four Centrality Measures
Authors: Shi Tingyu
Published: April 2023

Searching for influencers among a social network is important because marketers can then use this information to conduct word-of-mouth (WOM) advertisement, which is an important marketing technique. Literature Review provides detailed information about WOM advertisement. There are many ways to search influencers and often they are network centrality measurements. This paper aims to investigate whether each centrality measurement could produce similar results across different social media platforms (eg. Facebook, Twitter, Instagram). The social network data used in this research is from Huawei Company. This research uses four centrality measurements and three set similarity methods to analysis the data. As a result, this paper draws a conclusion about the binary question "Does it provide similar results or not?". Since various companies and applications may have different standards and definitions about being similar, please also check similarity data provided in this paper.
Development of Number Theory and the Application in Cryptography
Authors: Shang Wenchao
Published: April 2023

The primary focus of number theory, one of the fields of fundamental mathematics, is on the characteristics of integers. The development of cryptography also benefited greatly from the contributions of number theory. The paper primarily examines the evolution of number theory and its use in cryptography using a method of literature review. The study discovers that number theory development in the East reached a prosperous phase in the 1930s. From the 15th and 16th centuries through the 19th century, number theory flourished in the first. Number theory is still being developed, as demonstrated by the discovery of the biggest known prime number by American mathematician Curtis Cooper. Numerology is also extensively employed in cryptography, including the RSA technique and digital signatures. Numerous algorithms used in cryptography mostly depend on a working understanding of number theory.
Neural Machine Translation in Translation and Program Repair
Authors: Huang Tingsong , Jia Yifei , Pang Haohua , Sun Zhe
Published: April 2023

Translation is a challenge for humans since it needs a good command of two or more languages. When it comes to computer programs, it is even more complex as it is difficult for computers to imitate human translators. With the emergence of deep learning algorithms, especially neural network architectures, neural machine translation (NMT) models gradually outperformed previous machine translation models and became the new mainstream in practical machine translation (MT) systems. Nowadays, NMT has been developing for several years and has been applied in many fields. This paper is focused on studies on four different application categories of NMT models: 1) Text NMT; 2) Automatic program repair (based on NMT); 3) Simultaneous translation. Our work provides a summary of the latest research on different applications of NMT and makes comments on their development in the future. This paper also mentioned the shortcomings of existing studies in this essay and pointed out some possible research directions.
A Content-based Movie Recommendation System
Authors: Yuan Yiting , Qin Youyang , Yu Zekai , Zhang Congbai
Published: April 2023

In this paper, we describe a content-based movie recommendation system and provide an overview of the movie recommendation systems in today's market. Our findings show 1): Summary-Based and Feature-Based movie recommendation systems will provide different recommendation results. 2) Combined recommendation systems result is consistent with the Summary-Based recommendation system but different from the Feature-Based recommendation system. Based on our recommendation system, we also made some innovations and fusion and conducted several control tests to improve the quality of our recommendations.
A SIR Model for the Induction Analysis of a Company
Authors: Ni Xiao
Published: April 2023

We notice the situation that when applicants are qualified and have the willingness to seek a job, the appraises of employees already in the company will have a large impact on applicants decisions of whether to become a member of this company or not. We believe that positive appraises will encourage the applicants to enter while negative appraises will discourage applicants. On the basis of this fact, in this paper we propose a compartmental model including the applicants population, the employed population and the resignation population. Several differential equations are set up and disease-free equilibrium is calculated. After the calculation of R_0, we complete sensitivity analysis which leads to the conclusion. The conclusion suggests that either decreasing the progression rate from applicants to employees who have negative appraises or increasing the progression rate from employees with negative appraises to employees with positive appraises can decrease the population of negative states.
Comparisons of Two Types of Astronomical Telescopes: Terrestrial Telescopes and Space Telescopes
Authors: Chen Siyu
Published: April 2023

In the field of astrophysics and cosmology, astronomical telescopes are the main and key tool for observing and capturing information of celestial bodies. Generally, there are two types of telescopes, i.e., terrestrial telescopes and space telescopes. This study will be mainly focused on the differences and similarities between the two types mentioned above. According to the analysis, the ground telescope is larger and collect data with processing instead of real picture. The space telescope, on the other hand, is smaller but hard to repair, which is able to send back the real pictures of the space. The research aims of this investigation are helping the further researchers to have better understanding to the two different types of telescopes and offering a guideline for them to choose the more appropriate resources to use for the future research. These results shed light on guiding further exploration of different types of telescopes and pave a path for the future inventions of the telescopes.
Stress Analysis and Size Optimization of Suspension Beam Structure of Robot Manipulator
Authors: Tao Ziyou
Published: April 2023

In this paper, the stress and deformation of a manipulator structure are analyzed, and the structural optimization design is carried out. The initial configuration is a cantilever beam structure with rectangular section, which is fixed at one end and bears a load of 1 ton at the other end. After stress and deformation analysis with ABAQUS software and SolidWorks software, three optimizations were carried out. Geometric configuration optimization, topology optimization and material optimization. After optimization, the overall quality of the structure is reduced by 80%, and there is no great loss of strength and safety.
The State-of-art Theorem and Detection Paradigms of Black Holes
Authors: Yang Zhengping
Published: April 2023

The black hole has been a mystery and a source of detection motivation for the human race ever since our quest of the discovery and research of other space. In general, the black hole can be defined as a special time-space structure where the gravity is strong enough to trap the photons, i.e., the light will be unable to penetrate or escape from it. In this paper, the current theorem and state-of-art detection paradigms are discussed in detail. Primarily, the categories of the black holes are demonstrated. The four different types of black holes all present their unique features. the quest for black hole exploration has never ceased. It has achieved stunning breakthrough with the first ever photo taken of the black hole by NASA in 2019. The future analysis of black hole excavation and research has been brought a bright future, as technology and outer space exploration plans continue to evolve. These results shed light on guiding further exploration of cosmology as well as the astrophysics.
The Covid-19 Disinformation Detection on Social Media Using the NLP Approaches
Authors: Quan Yi
Published: April 2023

Artificial intelligence has emerged with big data technologies in natural language processing and been applied to creative solutions for overload information especially around the time of the COVID-19 epidemic. This paper provides a comprehensive review of research dedicated to applications of artificial intelligence in misinformation detection. This work organizes the necessary background material for COVID-19-related misinformation detection in NLP, concentrating on the transfer learning technique. Database, data preparation, and modeling make up the major body of information. In the part of modeling, it will merge the attributes of the pre-trained model with the specifical task scenario to explain and present pertinent comments on the future model's improvement under the task scenario. This research will benefit the decision-making and information screen for people's inability to distinguish truth from fiction during the COVID-19 pandemic.
A VR Music Learning Application VR-DRUM
Authors: Liao Shujie
Published: April 2023

With the explosion of the MetaVerse concept and the burgeoning of VR (Virtual Reality) technology, VR has been applied in diverse scenariosfor examplesocial networking, games, education, online retail, house inspections, exhibition tours, training, virtual concerts and so on. Learning in the 3D environment of virtual reality can bring people an immersive interactive experience, which can improve the learners efficiency and deepen understanding. Music learning mainly includes the cultivation of rhythm (or sense of music, also including intonation), mainly relying on ears, followed by muscle memory, and the immersion of VR games is an optimal solution for music learning. This work proposes a VR-based drum learning game to solve several troubling problems such that when drummers practice real drums at home, the sound gets too loud, and the real drums occupy a large space, going out to practice drums will take much time. But to play drums in VR game, just put on a portable VR glass and pick up the touch controllers, drum players can practice at anytime, anywhere. What's more, it's very easy for novice to get started quickly. Another conspicuous advantage of VR is it provides an immersive experience for usersincluding a 360-degree panoramic screen, spatial audio, and authentic atmosphere.
A Sino-US case study of the mobile payment fintech companies
Authors: Lin Binwei
Published: April 2023

The popularity of smartphones and mobile networks has led modern people to live in an era of electronic payments and a cashless society. Big tech giants use capital and technology strength in constant penetrating of the financial industry, trying to preempt a first move in mobile finance. By constructing a comparative analysis, this paper attempts to dive into the strategies of recent mobile payment business players both in China and the USA, the newcomers and evolving trend of the competition, key factors that underpin the success of client loyalty, and future competitive advantage and limitations in an economy with multivariate currency media available. The paper concludes that in an economic environment where state-backed and privately issued digital currencies coexist, and the metaverse concept emerges, tech companies should lay out new business forms of mobile payment and seek new roles as a medium that embraces all three types of currencies and continue to benefit the digital economy and society. It is rational to expect that tech tycoons can embrace challenges in the mobile payment marketplace and are ready to thrive in the newly derived metaverse market.
Market Volatility of the Chinese and U.S Stock Based Hospitality Industry during the Pandemic
Authors: Gui Yuyue , Han Yujia , Zhou Haitian , Chen Xinyi
Published: April 2023

The aftermath of the Covid-19 virus has negatively jeopardized nearly the overall industries globally. Many studies have pointed out effluent suggestions to ameliorate the influence of such a disaster. However, without the supplement of well-knitted mathematical models and methodologies, these assertions will be merely invalid and even will result in a negative impact on the global economy. The purpose of this paper is to elaborate on the effects of stock prices in multi-international hotel industries. In particular, the research investigates the performance of four stocks two high ending hotel leading stocks and two average stocks, and each category consists of one Chinese stock and one American stock. In order to demonstrate the rationality and objectivity of this paper, we will utilize the Efficient Market Hypothesis as a prerequisite of this research, and we presume that the market efficiency during the pandemic for the hotel industries in both countries has had a weak form by employing several authentic studies to back up the contention. In addition, we will forthputting various applications of statistic methodologies to illustrate that there is a correlation between the prevail of Covid-19 and the volatility of stocks. In a nutshell, the meaning of this study is that it is able to exhibit the correlation between the spreading of the Covid and the price of those stocks in order to facilitate the process of decision making for potential investors in the near future.
Trade Globalization and Inequality: Evidence Across Economies
Authors: Zhou Jiaxuan , Xue Jingru , Liu Lanxin
Published: April 2023

In recent years, trade globalization has experienced rapid growth, however, within many countries, income gap is also widening. Whether there exists causality needs further investigation. This work uses the panel of 166 countries during 1970-2018 and employs the exogeneous variation of trade globalization in the last period to explore its effect on income inequality. The paper finds trade globalization has a significantly positive effect on income inequality and it is robust when constructing instrument variables, considering long term effects or using changes in the regression. However, the effect varies in economies with different income and development levels, and technology, education, governance, policy and other factors may have important roles. Now, trade globalization is still a promising opportunity for all countries and each should develop discretionary policy to make the most of it.
The Current Situation and Hidden Dangers of Internet Finance in China
Authors: Wang Runzhi
Published: April 2023

With the advancement of science and technology and the rapid development of China's economy, China's Internet finance is growing rapidly. As China's Internet finance is in its infancy, a suitable regulatory system has not yet been formed, which leads to many risks in third-party payment, Internet lending, and crowd-funding platforms. This research will specifically explore what risks exist and why they arise, then make some recommendations for them. The findings of this study include recommendations for forward-targeted industry supervisory procedures and preventive actions. In conclusion, China's Internet finance has great potential, and the government should introduce legal provisions and build regulatory agencies to prevent these risks.
Multihoming Competition of Delivery Platforms in the Two-sided Market and Its Effects on Social Welfare
Authors: Gu Nina , Min Hang , Chen Meiru
Published: April 2023

This paper analyzes the platform competition in a differentiated setting (delivery platform) and the effects of social welfare in two-sided markets in the multi-homing platform. Also identifies interdependence between the two sides served by the same platform. Considering the reality of the economy and the diversity of consumer behavior. Single-homing and multihoming in the real economy is relatively small. The vast majority of users in the platforms of two-sided markets belong to partial multi-homing. Through research, it is found that partial multi-homing of delivery platforms is decided by consumer differentiation and platform differentiation. In particular, higher customer loyalty and product differentiation means higher competitiveness in the market.
A Discussion on the Impact and Management of Longevity Risk on Households, Enterprises and Governments in the Context of Aging in China
Authors: Wen Yiping
Published: April 2023

The aging of China's population has become a significant social problem. The resulting longevity risk is a new and growing challenge for households, businesses and governments. This paper discusses the influence of longevity risk on different subjects and management methods by combining theoretical analysis and data analysis. From the perspective of households, based on the life cycle hypothesis, this paper demonstrates that the increase in life expectancy will reduce the total utility by reducing the average consumption level of individuals (families). For the general enterprises and the insurance industry, longevity risk means the rapid accumulation of future operating costs and may even bring liquidity risk. As for the government, they are the manager of the social pension fund, which is faced with the problem of balancing the income and payments under the background of the significant increase in the average life expectancy of the population. As a link, the financial market can transfer and disperse longevity risk among different subjects. However, there is a shortage of investors and issuers in the Chinese financial market. The rate of Chinese households participating financial market is low, and the progress of Longevity risk securitization in financial sectors is slow. Therefore, in managing longevity risk, China should focus on increasing the utilization of capital markets.
Review of Stock Price Predicting Method Based on LSTM
Authors: Qian Huizi
Published: April 2023

Stock market forecasting is a challenging field for investors to make profits in the financial market. Investors need to understand that financial markets are more unstable and affected by many external factors. Time series analysis of daily stock data and the establishment of prediction model are very complex. The development of stock market forecasting technology is changing with each passing day and deep learning method is more and more used in finance field. This paper review the stock predicting method based on LSTM from the year 2015 to 2022.
Marketing Strategies During the Time of Covid-19--What Role does Customer Behaviour Changes Play?
Authors: Zheng Huizhuo , Zhu Chenchen , Yung Ho , Feng Peiyu
Published: April 2023

This paper discusses both the psychological and physical effects of COVID-19 on customer behavior changes and elaborates on companies approaches to address these changes through marketing strategies and marketing policies. By comparing with the Global Financial Crisis (GFC), the paper analyzes the similar change patterns in customer behavior that COVID-19 shares with GFC and what marketers can leverage from historical experiences. However, the public-health concerns have been playing significant part during this crisis when it comes to customer behavior changes, such as restricted mobilities have been incentivizing customers to shop in different categories and to rely on online services more than ever. In this paper, cases covering different industries have been studied and presented to illustrate how marketers can utilize their technical skills to make the unique charlatanistic of this crisis an opportunity to help the organization to grow.
Who can Earn more? Some Factors Affect CEOs Income
Authors: Li Yuanning
Published: April 2023

This research focuses on the three factors that affect CEOs' income, including age, gender, and network size. We find that age has a significantly negative correlation with CEOs' income for CEOs with older age, while the correlation is insignificant for younger than 52 years old. Gender also significantly affects income, and male CEOs tend to earn more than female CEOs. The last factor is network size. We find that network size is negatively correlated with the CEOs' income. Last, we put forward some potential theoretical mechanisms to explain the empirical results.
Under Pressure: How Do Housing Prices and Income Affect Birth Preference in China
Authors: Yang Nianjia
Published: April 2023

With a declining demographic trend nowadays, China is facing a critical challenge in pursuing economic growth. Previous literature has discussed that housing pressure and individual income are the main factors influencing fertility choices in contemporary society. However, very few have focused on how housing markets and income influence fertility behaviors under the specific situation that China faces. In this study, by conducting fixed-effect models, I use datasets from the CGSS survey and the NBS to investigate how housing prices and personal income affect birth preference in China. Results show that wealthier individuals prefer fewer children, and that people are less willing to have children when local housing prices become higher. Regional models show that the correlation between housing prices and birth preference is higher in cities where housing prices are high. Models based on gender differences show that females tend to be more focused on income, while males are more responsive to housing prices. Also, quadratic analysis shows that there is a U-shaped relationship between income and birth preference, which shows a decreasing trend until income is about 280,000 RMB (43,800 USD).
Research on Oil and Gas Supply Network Fragility Taking Russia as an Example
Authors: Zhu He
Published: April 2023

Oil and natural gas are closely related to people's daily needs and the production of various industries. In recent years, oil and gas price volatility has brought renewed attention to the oil and gas industry. This paper sets out to study how external shocks and internal risks affect the stability of oil and gas supply networks and thus the global energy supply. The structure and fragility of the oil and gas supply network and the impact of the fragility of the supply network on the Russian Federation's oil and gas supply are described through a literature review. Finally, it is found that the composition and scale of the supply network, the harsh mining environment, the unstable financial market, the technical difficulties, the safety of practitioners, and other factors all have a significant negative impact on the global energy supply.
Research on Mutual Trust Between Customers and Sellers Based on Digital Social Media Platform
Authors: Yao Xinyi
Published: April 2023

Social media is one of the most advancing and popular media that people have to expose them for everyday life. According to Facebook, there are nearly 10 billion people are using the product from Facebook to send message to them each week. However, with the recent development of the social media, there is an increasing number of problems have arisen, and one of them have to do with the trust and credibility problem. Thus, as the problem has been raised, there is a need to investigate what is the best way to increase the trust of user to the social media platform. This paper is a sorting and summarizing based on the recent research result of the digital marketing platform. The paper mainly focuses on different research method to conduct analysis. The result shows that the most effective way of digital marketers in the social media platform is to apologize directly. The limitation is presented and the future suggestion is given.
The Empirical Study of Digital Inclusive Finance on Rural Green Economy Development
Authors: Li Keke
Published: April 2023

This article discusses the role that inclusive digital finance plays in rural green development against the backdrop of rural revitalization strategies. The results demonstrated that the growth of the rural green economy has been significantly aided by the digital inclusive finance, and that this impact has significant regional heterogeneity, with the impact on the eastern and western regions being noticeably stronger than that on the central and northeastern regions. This study contributes to the current of empirical research on the connection between rural green construction and inclusive digital finance. Finally, relevant suggestions are put forward to help promote the green growth of agriculture and rural areas and realize the strategy of rural revitalization.
Analysis of E-commerce Characteristics of SMEs: Evidence from Scotland
Authors: Liu Jiayi
Published: April 2023

The development of internet and digital tools has inspired the dramatically increased usage of e-commerce in the past decades. Both small and medium sized enterprises and the economy could benefit from e-commerce adoption. Based on Scottish government survey data in 2021, this study analysed the main features of e-commerce in SMEs and explored factors influencing the level of e-commerce usage. Research variables include size of businesses, business market, sector, business location, use of technologies, and investment in digital. The findings of the study show that: (1) micro-sized enterprises are more favoured in using e-commerce to selling goods or services; (2) though businesses adopting less technologies rely less on e-commerce, they have shown greater inclination in digital investment; (3) business sector and location could affect the choice of SMEs in adopting e-commerce. The findings signal that further research could explore the effects of other variables and COVID-19 on e-commerce usage in SMEs.
Customer Churn Prediction in the Telecommunication Industry
Authors: Wu Shaohua
Published: April 2023

Customer churn is essential for telecom fields because it reduces income when a customer switches from one service provider to another. It is important for managers to help them find the factors influencing customer churn so that they can make decisions and optimize services. In this essay, SPSS will be used to analyze the factors that influence customer churn. We use contrastive analysis to find out the factors of the customer churn and use logistic regression to analyze the degree of influence of different factors. The result indicates phone charge, quality and diversity of services have impacts on customer churn.
Research on the Development and Influence of CDM Projects in China
Authors: Zhang Zhixuan
Published: April 2023

Environmental problem is becoming more severer day by day. China, as one of the largest carbon emission entities, has implemented CDM projects to help it reduce carbon emissions, and achieve sustainable growth. The CDM benefits both developing and developed countries by helping developed countries to reach emission reduction targets and providing subsidies for developing countries to build sustainable projects. The research paper shows that CDM is preferred by China to other projects due to its advantages, such as the CERs trading mechanism, the investment and subsidy from foreign countries, and the technology transfer. Meanwhile, after CDM adoption, the country has built some institutions and enacted appropriate regulations to construct CDM projects more efficiently. In the last part of the research, the influences of CDM on the domestic economy has been analysed, where both data and past paper from the official website and published articles show positive effects of building CDM, including job creation and decreasing worrying over the electric shortage. In conclusion, CDM projects and Chinese circumstances are compatible in several aspects which are presented in the paper. The compatibility contributes to Chinese sustainable development and provides other developing countries with a sample to learn from.
The Developmental Impact of Chinese Healthcare Applications on Medical Economics During COVID-19
Authors: Xue Yifei
Published: April 2023

The health industry is developing rapidly under the dual influence of the Internet and the epidemic era. Especially in China, Internet + healthcare has become a development trend, forming new concepts such as smart healthcare. This new trend includes the rise of medical and health apps and the establishment of health departments and businesses by commercial companies in various fields. The healthcare industry has affected Chinas economic development since before the outbreak. Until the outbreak, the proportion of health economic GDP in Chinas GDP has maintained an upward trend. This article analyzes the development process of Chinas healthcare industry in the era of the epidemic through some economic data, especially the impact on the economy. This paper also visualizes the impact of actual healthcare media apps on economics through two different apps. It analyzes the advantages and disadvantages of these effects to think about how to make healthcare apps develop in Chinas economy play a better role in promoting. Although the overall healthcare industry in China is still in the initial stage of development, the momentum of development is very rapid, making the healthcare industry one of the hot areas in the future.
Economic Consequences in Europe of the Russian-Ukraine 2022 War
Authors: Gong Yuhan
Published: April 2023

This paper discusses the economic consequences of the Russian- Ukraine war and mainly focuses on the economic impact it brings to Europe. On 24 February, Vladimir Putin launched an unproved invasion of Ukraine. The West responded by unleashing a series of sanctions to weaken the power of Putins war machine, but Russia responded with retaliatory measures. The war has caused supply chain disruption and hiked energy and food prices. Oil and gas prices both hiked to a record high. The Euro Area experienced an 8.1% inflation rate. The European Central Bank considered hiking interest rates for the first time in more than 11 years as a result of the strong inflation. The war increases volatility in the conventional stock market. Stock prices plunged significantly on the day of the invasion, but the market recovered shortly as the sanctions against Russia were imposed. As the war created enormous economic uncertainty and increased inflation across Europe, governments should devise effective policies to reduce the inflationary pressure and seek alternative energy sources to reduce the dependence on Russian energy exports.
Cattles Optimal Diet
Authors: Zhang Yunjia , Su ZiLi , Zhu Cheng
Published: April 2023

Linear programming is an important mathematical technique, which is widely used in military operations, economic analysis, management, and engineering technology to find the optimal choice. Moreover, it is useful when trying to find the best outcome that involves several resource constraints, like animal diet. In this paper, we will become cattle ranchers, trying to figure out the best combination of feeds for the three groups of cattle. We also considered the cattles environmental impact, methane emission, into the linear program. The goal is to minimize the cost while balancing the cattles nutritional needs and lowering methane emissions. The Simplex Loop used to solve linear programs is also explained, however, we used MATLAB to arrive at the solution.
Marketing Strategy of Livestreaming Business: Case Study of Taobaos Livestreaming Business
Authors: Yu Zimo
Published: April 2023

Livestream has been a major and profitable marketing model for Taobao, one of the biggest e-commerce platforms in China, since 2016. An increasing number of business owners, celebrities, or influencers jump into this business looking for business opportunities. There are a lot of benefits of live streaming, for instance, real-time engagement with the consumers to build a long-term relationship with them, creating an immersive shopping experience for consumers, and effectively utilizing consumers herd mentality to drive sales during shopping festivals. However, some problems have emerged. The platform lacks comprehensive and binding regulations to supervise business owners behaviors. Besides, the income gap between macro-anchors and micro-anchors is wide. Also, the live content of different anchors is not heterogeneous enough to retain consumers attention. Improving strategies like increasing regulations, developing reward mechanisms to support micro-anchors business, and encouraging anchors to create and keep personalities can mitigate the problems.
Validity of Capital Asset Pricing Model(CAPM)Empirical Research on the Panel Industry in China
Authors: Zhang Yichi
Published: April 2023

In recent years, the stock of the panel industry has developed well and the country has invested heavily in this industry, so investors are enthusiastic about the panel industry. Based on the investment potential of the panel industry, this paper selects the latest data of 12 stocks in Shenzhen Stock Exchange from January 1, 2007 to December 31, 2021, and uses the capital asset pricing model (CAPM) to conduct an empirical study on China's panel industry. The results show that the applicability of the coefficient panel industry is not strong, and the applicability of the CAPM model in the panel industry is not good. At the same time, combined with the stock market environment of China's panel industry, this paper makes a further analysis of the CAPM model, and puts forward some investment suggestions for investors the following investment suggestions for reference: evaluating the risk of assets by using a number of indicators before investment; seizing the investment opportunities of upstream new materials and so on.
The Theory of Asset Pricing
Authors: Guo Ruimin
Published: April 2023

This assignment explores the theory of asset pricing and mainly focuses on the capital asset pricing model (CAPM). Also, the assignment addresses the CAPM as a model that explains how the projected return on an asset is equivalent to the risk-free rate of return plus a risk premium that is proportionate to the asset's beta. The assignment further evaluates the advantages of the model and explains comprehensively some of the drawbacks that make the model criticized by most researchers. Therefore, criticizing the model led to the rise of other efficient asset pricing models. Hence one of the popular alternative models of the CAPM is the Fama-French model, which accounts for value and size risks to the market risk factor. Lastly, the assignment has analyzed the traditional and non-traditional factors that affect the CAPM.
Research on the Marketing Strategy of Tesla Vehicle in China
Authors: Li Jiayi
Published: April 2023

Faced with decreasing energy supplies, the automobile industry in many nations has shifted its attention to new energy cars, and the promotion of new energy vehicles has become a mainstream trend of our day. China's emphasis on the development of new energy vehicles, as well as the implementation of new energy vehicle subsidies, have all contributed to the industry's rapid growth. This research examined Tesla's strengths and weaknesses, opportunities and threats using the SWOT method. It has a brand, product benefits, and a quality service system. National policy industry innovation, as well as consumer awareness of environmental protection, are all positive marketing trends. However, it offers fewer product options, charging options are limited, and safety concerns must be addressed. With something to ponder on, the rivalry becomes even more fierce. The Tesla marketing plan is then determined utilizing the 4PS marketing analysis process. It creates high-end and low-end items to fulfill varied demands, and employs online and offline direct sales to cut costs, flexible pricing, and new media exposure to gain market share. Therefore, Tesla's development is more positive.
Research on Structure Features of Supply Chain from the Perspective of Complex Network
Authors: Huang Linpei
Published: April 2023

With the rapid development of global manufacturing industry, many manufacturers begin to cooperate with each other. In China, a large number of foreign-funded enterprises in the automobile industry have settled in the Chinese mainland to set up factories and cooperate with local manufacturers. It is a significant task to find a way to optimize the structure of the complex supply network in the manufacturing industry. The paper selects the data on the share ratio relationship between enterprises in the automotive supply chain network published in the China Automotive Industry Yearbook, and selects appropriate software to analyze the topology structure characteristics of the supply chain network. Through numerical analysis, we can conclude that the structure features of supply chain networks can help us identify the hidden dangers of important nodes and point out the problems existing in the supply.
The Effects of Central Environmental Supervision and Inspection on the Green Innovation of Industrial Firms in China
Authors: Huang Linna
Published: April 2023

Environmental problems such as poor air quality has recently drawn great attention in China. Chinas government has proposed plenty of regulations to alleviate these problems. Central environmental supervision and inspection (CESI), a kind of campaign-style command-and-control regulation, started in 2016 and is still underway. By dispatching central inspectors in groups to provinces in batches, CESI is much stronger and more direct than other command-and-control regulations in the past. There are many papers about CESI, but few examine the relation between it and green innovation from the micro-firm perspective. Since firms green innovation (FGI) is a vital driver of the green transformation, the author examines whether and how the first round of CESI influenced the industrial FGI in this paper, based on Time-Varying Difference-in-differences (TDID) model and Mediation Effect model. The 2011-2019 panel data of industrial firms that are listed in A-share market is used, and it is selected from China Stock Market and Accounting Research (CSMAR) database. Besides, FGI is measured by the quantity of green patents, including green utility and invention patents. Unfortunately, the results of both descriptive and empirical analysis show that CESI neg-actively affected FGI partly because the financial condition of firms worsened due to CESI. Moreover, according to heterogeneity analysis, the policy effect is still weak on firms in underdeveloped cities. The author offers some suggestions for improving relevant policies based on these findings.
Current Situation, Problem and Solution of the Bond Market of China
Authors: Zhang Yanwen
Published: April 2023

In 2010, the economy scale of China has become the second largest in the worldwide after exceeding Japan which just next to the economy scale of United States which has kept playing an important role in the global economy. In this case, more and more attention has been focused on it and especially for its financial market which is young but huge in scale. However, as the Chinese financial market was firstly established in 1993, the history of its development is very short and the research related to it is very limited, particularly for the bond market of China which has a very different institution and structure compared with the bond market of the main developed countries in the world where the main changes are followed by the instruction and plan of the government. As the bond is the financial instrument which decides the interest rate, its market has a great influence on the financial liquidity of the whole economy. In addition, the high interest rate in the bond market of China compared with the other bond market has also attracted the foreign investors in the whole world to increase their investment to the market. Therefore, studying the bond market of China is very helpful in understanding the current situation of the bond market of China so as to find out its problems and solutions which are very important for the economy to grow in a healthy way. In this paper, the solutions of how to solve the problems about the risk, market efficiency and the sustainable development of the bond market of China will be analyzed based on its current situation including the structure and scale.
Portfolio Construction and Analysis Based on the Hang Seng Index from 2009 to 2021
Authors: Nie Junming
Published: April 2023

Maximizing returns at a low risk is a popular goal for investors. The Hang Seng Index (HSI) is a significant indicator of Hong Kong stocks, which is made up of 66 stocks traded on the Hong Kong stock market. This study aims to analyze and the find optimum portfolio based on the Hang Seng index. For this purpose, Fama experiment are applied firstly to evaluate the systematic risk and the idiosyncratic risk. But for convenience, three stocks from three different companies, Tencent, BYD and the CITIC are chosen to construct the portfolio. Then R is used in this study to analyze the portfolio. The minimum variance portfolio, Sharpe ratio and the tangency portfolio are all calculated by R then. The results show that the weights of the tangency portfolio are -200% for Tencent, 42% for BYD and 258% for CITIC, which may be helpful to make the investment decision.
The Causes of Agricultural Trade Growth between China and Central Asia under the Background of "the Belt and Road" -- An Empirical Analysis Based on CMS Model
Authors: Jiequn Zhao , Beibei Wang
Published: April 2023

Central Asia is rich in land, solar and thermal resources, as well as its agricultural labor force. It has superior conditions for agricultural production, which has strong complementarity with China in the agricultural field. Under the current complex international economic and political situation, strengthening cooperation between the two sides in the agricultural field can achieve win-win cooperation, which is also conducive to reversing the situation that developed countries restrict China's agricultural trade. The constant market share model (CMS) is used in this paper to empirical analyze the causes of agricultural trade growth between China and Central Asia from 1995 to 2021 based on UN COMTRADE data. The results show that the interaction between the promotion of the import scale of agricultural products and the improvement of its competitiveness is the main reason for the growth of agricultural exports of both sides; For classified agricultural products, the factors affecting the growth of export volume are different. The main factors restricting export volume growth of China and Central Asia are insufficient competitiveness and unreasonable export commodity structure respectively. In the new era, both sides should strengthen communication and cooperation, adjust the export structure of agricultural products and stabilize the competitiveness of it to further improve trade volume growth.
Single Cell Type Prediction from Gene Profiles - An Overview of Different Computational Methods
Authors: Li Jiaxun , Liu Xinyu , Xu Kaijie
Published: April 2023

Proven to be useful in quantitative analysis of mRNA, scRNA-seq measures the individual gene expression profile and helps with rare cell population identification. Successful scRNA-seq analysis would be useful to boost knowledge of cancer cells and tumorigenesis, thus improving the ability to identify biomarkers and detect individuals disease susceptibility. This work conducted dimensionality reduction using naive principal component analysis. Then, several classification algorithms, including support vector machine, random forest, boosting, and neural networks, were examined with best hyperparameters determined by grid search. With the comparison of data dimensionality N=83 and N=127, each method generated the prediction accuracy of the dataset, with the support vector machine achieving the highest testing accuracy of 53.52%. The relatively high prediction accuracy enables better characterization of single gene expression profiles due to support vector machines ability to regularize high-dimensional data. Deeper architectures and usage of Bayesian optimization may further encourage efficient analysis of larger datasets with better classification accuracy.
The Application of Machine Learning Algorithm and Causal Inference in Analyzing Student Performance
Authors: Li Ganyu , Lin Yuetong , Zhong Zhuotong , Zhang Bryan , Zheng Kaiwen
Published: April 2023

The causal inference is the process of determining the causality and correlation between different variables in a system. This paper mainly focuses on the introduction of theories of causal inference analysis and application of causal inference on student performance data. The adjustment formula, backdoor criterion and front-door criterion are three different methods to analyze different causal diagrams which can be used to quantify and analyze the causal effect of students' choices on performance and school support. Taking advantage of logistic regression model, counterfactual inference can utilize students' experience to predict the possibility of result under different choice conditions. The Natural Direct Effect in the path-specific effect is used to study the direct effect of sensitive attribute gender on the acquisition of school support, determining the fairness of decision-making of the school support