bluuebunny/crossref_metadata_2025 huggingface dataset:
The Recent Progress and the State-of-art Applications of Navier Stokes Equation
Authors: Cai Jiaxi , Wang Yihan , Yu Shuonan
Published: September 2022

Navier Stoke equation plays an important role in physics field to describe the movement of fluid. In description of movement of fluid, turbulent flow is difficult to describe because it cannot be predicted precisely for movement of every particle. In this paper, we present the basic information of Navier Stoke equation, history of developing Navier Stoke equation as well as solving method. In addition, the state-of-art applications in fluid mechanics are also demonstrated. Moreover, the limitation of Navier Stoke equation and its future prospect are proposed accordingly. These results shed light on guiding further exploration focusing on the fluid mechanics.
Research on the Optimal Strength Curve of Athletes Based on EVP Model
Authors: Sun Zihan , Xu Hao , Sun Qizheng
Published: September 2022

As one of the world's favorite extreme sports, bicycle racing gives people a physical workout and is in line with today's global community's advocacy of low carbon. The individual time trial and team time trial in bicycle racing is a great challenge for athletes. In this sport, different athletes have different power curves, and athletes have to adjust their power curves according to the actual situation during the ride. And when and where athletes adjust their power usually determines whether they can win the race or not. Therefore, in order to find the best power adjustment strategy, we build a mathematical model for determining the relationship between rider's position on the track and rider's power, as well as the power profiles of athletes on specific tracks, and try to apply it on any type of riders.
Research on Bicycle Road Time Trial Based on Differential Equation
Authors: Wu Yurong
Published: September 2022

Bicycle road time trial is a kind of bicycle road race, including individual time trial and team time trial. The purpose of this paper is to build a power prediction model to provide the rider with an optimal power distribution strategy according to the characteristics of the track and the rider's abilities. We first analyze the energy conversion problem in the speed direction of the system composed of bicycles and people. In order to extend our model, we get the distance as a function of time. Calculate the performance of each type of rider on the two tracks, and find that the relative error of the results is about 10%, which proves that the establishment of our model is effective. Afterwards the model was applied to the track we designed, and the results were reasonable by comparing the data. Further, we consider the influence of wind speed in combination with the actual situation, to optimize our model so that the results are more accurate, and the relative error is within 5%.
A Survey on CLIP-Guided Vision-Language Tasks
Authors: Yu Zhuoran
Published: September 2022

Multimodal learning refers to the representation of different modalities using a unified model. Modalities include images, text, audio, etc. In this article, we will first introduce the basic approach of CLIP which is a vision language model with the power of connecting different modalities, and then present different models inspired by CLIP on various downstream tasks. In the end, we conclude with a summary of the prospects and limitations of multimodal learning.
Weakly-Supervised and Unsupervised Video Anomaly Detection
Authors: Song Yide
Published: September 2022

As surveillance technology is continuously improving, an ever-increasing number of cameras are being deployed everywhere. Relying on manual detection of anomalies through cameras may be unreliable and untimely. Therefore, the application of deep learning in video anomaly detection is being extensively studied. Anomaly Detection (AD) refers to identifying events that deviate from the desired actions. This article discusses representative unsupervised and weakly-supervised learning methods applied to various data types. In these machine learning methods, Generative Adversarial Network, Auto Encoder, Recurrent Neural Network, etc. are broadly adopted for AD. Some renowned and new datasets are reviewed. Furthermore, we also proposed several future directions of research in video anomaly detection.
Research on Portfolio Model Based on LSTMIS-AMTM and Improved Markowitz
Authors: Bi Yongxiang
Published: September 2022

With the development of ﬁnancial market, portfolio investment has become a new hotspot in the ﬁeld of quantitative investment. We develop a model to propose the best strategy of gold and bitcoin portfolio investment. We ﬁrst use LSTMIS to predict the value of gold and bitcoin with input sequence consisting of last 30 days data. Then we use the predicted data and the mean value of last 5 days as long- and short-term moving average input of AMTM model respectively, hence judging whether to buy or sell. Then we improve and modify the existing Markowitz portfolio model by treating gold and bitcoin as two diﬀerent stocks and completing the matching of the two through the model, so as to make quantitative investments and reduce the risk while satisfying a higher rate of return.
Review of text emotion detection
Authors: Zhang Ziheng
Published: September 2022

Emotion is one of the essential characteristics of being human. When writing essays or reports, people will add their own emotions. Text sentiment detection can detect the leading emotional tone of a text. Text emotion detection and recognition is a new research field related to sentiment analysis. Emotion analysis detects and identifies emotion types, such as anger, happiness, or sadness, through textual expression. It is a subdomain of NLP. For some applications, the technology could help large companies' Chinese and Russian data analysts gauge public opinion or conduct nuanced market research and understand product reputation. At present, text emotion is one of the most studied fields in the literature. Still, it is also tricky because it is related to deep neural networks and requires the application of psychological knowledge. In this article, we will discuss the concept of text detection and introduce and analyze the main methods of text emotion detection. In addition, this paper will also discuss the advantages and weaknesses of this technology and some future research directions and problems to be solved.
The Teichmüller problem for L^p-means of distortion
Authors: Martin Gaven J. , Yao Cong
Published: September 2022

Teichmüller's problem from 1944 is this: Given \(x\in [0,1)\) find and describe the extremal quasiconformal map \(f\colon\mathbb{D}\to\mathbb{D}\), \(f|\partial \mathbb{D}=\) identity and \(f(0)=-x\leq 0\). We consider this problem in the setting of minimisers of \(L^p\)-mean distortion. The classical result is that there is an extremal map of Teichmüller type with associated holomorphic quadratic differential having a pole of order one at 0, if \(x\neq 0\). For the \(L^1\)-norm it is known that there can be no locally quasiconformal minimiser unless \(x=0\). Here we show that for \(1\leq p<\infty\) there is a minimiser in a weak class and an associated Ahlfors-Hopf holomorphic quadratic differential with a pole of order 1 at \(f(0)=-x\). However, this minimiser cannot be in \(W^{1,2}_{loc}(\mathbb{D})\) unless \(x=0\) and \(f=\) identity. Hence no minimiser for the \(L^p\)-Teichmüller problem can be locally quasiconformal other than the identity.
 
Similar statements holds for minimisers of the exponential norm of distortion. We also use our earlier work to show that as \(p\to\infty\), the weak \(L^p\)-minimisers converge locally uniformly in \(\mathbb{D}\) to the extremal quasiconformal Teichmüller mapping, and that as \(p\to 1\) the weak \(L^p\)-minimisers converge locally uniformly in \(\mathbb{D}\) to the identity.
Implementasi Model Bermain Asyik dalam Meningkatkan Kemampuan Interpersonal Anak di TK Negeri Dobonsolo Sentani Kabupaten Jayapura Provinsi Papua
Authors: Mogelea Bertyn , Watini Sri
Published: September 2022

Tujuan yang dicapai dalam penelitian ini adalah untuk meningkatkan kemampuan interpersonal pada anak usia dini melalui model bermain “ASYIK“ di TK Negeri Dobonsolo Sentani Kabupaten Jayapura Provisi Papua. Penelitian ini merupakan penelitian tindakan kelas (PTK) Populasinya adalah anak usia dini di berjumlah 16 anak terdiri dari 9 anak perempuan dan 7 anak laki-laki. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah melalui observasi, wawancara dan dokumentasi. Bahwa dengan bermain “ASYIK”  dapat menigkatkan kemampuan interpersonal anak, mereka dapat bertaggug jawab, percaya diri, berkomuikasi dengan sagat baik. Hal ini terbukti adanya prningkatan kemampuan interpersonal yang pada kondisi awal rata-rata hanya 44% pada siklus I tindakan 1 meningkat menjadi 51%, siklus I tindakan 2 menjadi 60%, siklus II tindakan 1 menjadi 75%, dan siklus II tindakan 2 meningkat menjadi 83%. Melalui penerapan model  bermain “ASYIK” sangat mudah dilakukan dan menarik serta dapat membangun motivasi belajar anak usia dini. Dengan demikian berdasarkan hasil analisis data di atas menunjukan bahwa Implementasi Model Bermain “ASYIK” dapat meningkatkan kemampuan interpersonal anak usia dini di TK Negeri Dobonsolo Sentani Kabupaten Jayapura Provisi Papua.
TYPOLOGY OF THE MODERN GERMAN NOVEL
Authors:   Academy of State Administration, Osmanova Malakhat Nazim
Published: September 2022

The article examines the work of such writers as Günther Grass, Heinrich Bell, Bernard Schlink, Siegfried Lenz, who created modern German literature after the end of World War II. In their works, German writers set out to understand the guilt and responsibility of the Nazis. These works clearly show that millions of people have been victims of various ideologies and that fascism has destroyed their innate feelings.
ART THAT LIGHTS UP BASEMENT
Authors:   Azerbaijan State Academy of Arts, Mazandarova Elnara Intigam ,   Azerbaijan State Pedagogical University
Published: September 2022

The article talks about the difficulties faced by Rais Rasulzadeh, the honored artist of Azerbaijan, returning to Azerbaijan after his life in exile, how he had to live and create in the basement for 12 years of his life because he had no place to stay in his native land, his ancestral home. Despite the conditions in the basement, the artist did not turn from the path he took and, braving all the difficulties, was able to achieve his wishes in the end. Here, the artist's art, starting from Kazakhstan, and through which paths it reached the current period, is reflected in all its details. In the text, the difficulties faced by Rais Rasulzadeh, the grandson of Mammad Amin Rasulzadeh, after returning to his homeland, at which times he made friends, who he supported in art, and many other issues were touched upon. Despite all the difficulties, the artist developed and formed in art and managed to stand out with his unique creativity in the contemporary art of Azerbaijan. The formation of Rais Rasulzade's style stems directly from his love for his homeland, Azerbaijan. The artist, who creates works in various genres, stands out for his works in the landscape genre. The main purpose of the article is that the determined artist can advance on the artistic path full of difficulties without stumbling and thereby become an example for the younger generation. The author explores concepts such as "the life of an artist in exile", "artist's creativity", "difficulties faced by the artist in the homeland", "the place of the artist in the modern art of Azerbaijan".
CLASSIFICATION OF DEVELOPMENTAL AND BEHAVIORAL PROBLEMS, DIAGNOSTIC WORKS CARRIED OUT WITH TYPES OF VEHICLES
Authors:   Western Caspian University, Rustamov Samir Rafig
Published: September 2022

The growing interest in this topic in recent years is due to the increase in the number of children suffering from developmental and behavioral problems characterized by emotional empathy. According to research, one in eight children born with developmental and behavioral problems. According to the literature, such children can be withdrawn, aggressive and sometimes calm, accompanied by stereotypes, attachment to objects or various objects. The choice of the topic was motivated by my desire to investigate, reveal, highlight small details about children suffering from this problem, to adapt to society and try to be one of them. The exact causes of developmental and behavioral problems in modern times are not known to science and have not yet been fully explained. However, numerous studies have shown that there are more than one factor influencing the development and behavior of problems. In the 1970s and 1971s, many professionals saw education as the main cause of developmental and behavioral problems. Thus, experts living at that time thought that the main cause of the disease depends on the proper upbringing of parents by their children.
Election Fraud, YouTube, and Public Perception of the Legitimacy of President Biden
Authors: Bisbee James , Brown Megan , Lai Angela , Bonneau Richard , Nagler Jonathan , Tucker Joshua A.
Published: September 2022

Skepticism about the outcome of the 2020 presidential election in the United States led to a historic attack on the Capitol on January 6th, 2021 and represents one of the greatest challenges to America's democratic institutions in over a century. Narratives of fraud and conspiracy theories proliferated over the fall of 2020, finding fertile ground across online social networks, although little is know about the extent and drivers of this spread. In this article, we show that users who were more skeptical of the election's legitimacy were more likely to be recommended content that featured narratives about the legitimacy of the election. Our findings underscore the tension between an "effective" recommendation system that provides users with the content they want, and a dangerous mechanism by which misinformation, disinformation, and conspiracies can find their way to those most likely to believe them.
Interpretation and evaluation of NZS1170.5 2016 provisions for seismic ratcheting
Authors: Saif Khaled , Yeow Trevor , Lee Chin-Long , MacRae Gregory
Published: September 2022

During seismic events, some structures have a tendency to ratchet and displace more in one direction than in the opposite direction after yielding, resulting in larger peak and residual displacements. Provisions to define the tendency for seismic ratcheting and the resulting displacement amplification are provided in the 2016 amendments of NZS1170.5. This paper presents some insight into the factors causing ratcheting, along with interpretation and evaluation of the proposed provisions. Firstly, the mechanics of seismic ratcheting due to dynamic stability, eccentric gravity loads, and unbalanced structural strengths in the back-and-forth directions are discussed. Afterwards, the new provisions were detailed and demonstrated by working through the NZS1170.5 commentary examples. The authors’ interpretation of the provisions is then presented, potential areas of confusion are identified, and wording changes to provide consistency and clarity are proposed. Finally, the displacement amplification factors provided in the 2016 amendments were evaluated using results of an independent study on single-degree-of-freedom reinforced concrete bridge columns subjected to eccentric gravity loading. It was found that the displacement amplification method proposed was reasonable, except when columns designed with a high ductility factor or which exhibit inelastic bilinear response had a significant tendency for ratcheting.
Research on bank information management mode under big data
Authors: Cao Yifeng
Published: September 2022

With the rapid development of information technology, the application of big data has penetrated into various fields. In order to analyze the information management mode under the background of the development of big data, this paper introduces its operation process and related models. On this basis, the management system database is designed based on the big data platform to improve the bank's customer information management data, realize customer information management and improve the bank's information management ability.
A Study of Independent Directors and Corporate Financial Risk
Authors: Dong Longqi
Published: September 2022

In the field of corporate finance research, the research on corporate financial risk has received a high degree of attention. Modern corporate financial management requires corporate managers to break through the shackles of traditional concepts and establish a correct risk concept: dare to face risks, challenge them, and master them. This paper proposes four hypotheses for the relationship between the characteristics of independent directors and corporate financial risk: there is a negative correlation between the average age of independent directors and corporate financial risk, and there is a negative correlation between independent directors' meeting attendance and corporate financial risk. There is a negative correlation between the relationship, male proportion of independent directors and corporate financial risk, and there is a negative correlation between independent directors' educational background and corporate financial risk.
From Instrumental Rationality to Value Rationality: The Transformation Road of Chinese TV Programs
Authors: Song Ziyi
Published: September 2022

Entering the new era, national identity and cultural self-confidence have penetrated into the daily life of the people. Simple shallow entertainment has been unable to meet the spiritual needs of the audience. Homogeneous content has caused aesthetic fatigue, and the creation of high-quality content has once again returned to the public. vision. From the perspective of the dialectical thinking of instrumental rationality and value rationality, in the past, the content homogeneity of TV programs has gradually changed to original and diversified content, putting social benefits first, and more prominent cultural self-confidence.
Research on Collaborative Innovation Mechanism between SMEs and Higher Vocational Colleges Based on System Dynamics
Authors: Bao Zhongfu , Chen Lan
Published: September 2022

Small and medium-sized enterprises are the main force of the industry, and higher vocational colleges are the main suppliers of talents for small and medium-sized enterprises. The two are highly complementary. From the perspective of innovation ecosystem, both are important populations in the system. Based on system dynamics, this paper constructs the collaborative innovation system model of small and medium-sized enterprises and higher vocational colleges, and focuses on the simulation of the operation mechanism of the innovation system. The research shows that the distribution of achievements has a significant impact on the operation of the system.
Graded evaluation and application of physical asset management in provincial grid companies
Authors: Li Liu , Chen Zhao , Jian Kang , Xia Huang
Published: September 2022

The evaluation of asset management by provincial power companies of the local municipal power supply companies under their jurisdiction is an important part of the evaluation of the physical assets of the grid. By studying the physical asset management of local municipalities, it is possible to provide more micro-level suggestions for improving the level of physical asset management. The traditional analysis of local municipalities' physical assets evaluation does not consider the indirect impact of local municipalities' macroeconomic and social development factors on grid operation, nor does it consider the progress or regression of local municipalities' management levels over a period of time, making the traditional analysis of local municipalities' physical assets evaluation less objective and accurate. Based on this, this paper selects suitable evaluation indicators from three aspects: the scale of the number of equipment and the value of physical assets, the level of physical asset management performance, and the macroeconomic and social development of local municipalities, and combines hierarchical analysis and expert scoring methods to build a comprehensive index system for the grading evaluation of physical asset management. The system analyses the degree of influence of macroeconomic and social development factors on the operation of the grid, and the progress or regression of the management level of each municipality over a period of time. Finally, based on the results of the analysis, countermeasures are proposed to improve the management of the physical assets of the grid.
Age moderated relation between perceived stress and social media use
Authors: Xu Zhengnan
Published: September 2022

With the growing popularity of social media, there is increasing research interest in the relationship between social media use and mental health. Past work in this area has yielded conflicting findings and suggested that age may play a moderating role in this relationship.  In the current study, we leverage an existing multicampus collaborative survey (EAMMi2; n = 2324; Grahe et al., 2013) to investigate the moderating role of age in the association between social media use and perceived stress. This study yielded two main findings: first, we found a marginally positive main effect of social media use on stress; second, age and perceived stress significantly interacted to predict social media use, where social media use and perceived stress were positively correlated in young adults (ages < 25) but negatively correlated in older adults (ages > 25). Our findings contribute to a broader discussion of the differential associations between social media use and perceived stress across different age groups.
Impacts of Asteroid Mining on Global Equity
Authors: Wang Xiangyu , Jiao Sitian , Liu Baichuan
Published: September 2022

With rapid development in technology, asteroid mining may become a reality in the near future. This paper focuses on the possible impacts of asteroid mining on global equity. In order to evaluate the global equity situation, we developed a global equity assessment model with 5 superior indicators and 18 inferior indicators, in which analytic hierarchy process (AHP) and entropy weight method (EWM) are used to obtain the combined weight, and TOPSIS was used to calculate the National Strength Index (NSI). Then Global Equity Index (GEI) is obtained by measuring the dispersion degree of NSI. Hierarchical grouping. Finally, hierarchical cluster analysis is used to determine which countries are capable of asteroids mining, and the changes of NSI and then GEI are obtained through the mutual iteration of the value obtained from minerals and NSI. Our analysis of data from 30 European countries from 1995 to 2020 shows that unregulated asteroid mining increases global inequity, depending on factors such as the total value of minerals and the difficulty of mining. Our study provides theoretical support and policy recommendations for reducing potential inequities caused by asteroid mining.
Study on the effects of successive mergers and acquisitions from the perspective of market value management: The Case of TRS
Authors: Yang Lei , Ma Xiongwen
Published: September 2022

M&A as a means of market value management for listed companies, companies are eager to achieve transformation and upgrading through M&A, and many companies have embarked on the road of continuous M&A after their first M&A. The software industry, as a rapidly developing industry with high industry barriers and the need to break technical barriers through M&A, has seen frequent M&A. This paper takes a series of M&As of TRS as an example and uses the market value management evaluation model to analyze the effect of its M&As as a market value management approach. The study finds that a series of M&A only produces effects in the M&A period, but not in the long term, providing a reference for companies expecting to achieve synergy effects through successive M&A.
Research on the application of enterprise internal control and risk management under the background of digital intelligence
Authors: Li Jieyu , Chen Wenbo
Published: September 2022

In the era of big data, the accelerated development of digital technology has become the leading force leading a new round of scientific and technological revolution. Manufacturing enterprises have also embarked on the journey of digital transformation. Under the digital background, the traditional risk management and control mode of enterprises is facing great challenges. As the external business environment and internal business process of the enterprise are becoming more and more complex, in the process of implementing internal control and risk management, there will be related problems such as inadequate data acquisition, low information processing efficiency and lagging information transmission. Therefore, how to find a way for enterprises to survive and develop in the context of big data is particularly important for modern enterprises to effectively avoid risks and achieve high-quality sustainable development. While enjoying the convenience brought by the big data system, enterprises also face many uncertainties. Based on the theory of internal control and risk management, this paper analyzes the defects of internal control and risk management of most enterprises in the market at present, looks for the causes of risk, and puts forward specific solutions to help enterprises improve their ability to resist risks and ensure high-quality and sustainable development.
Analysis of the Forbes global 500 companies in 2021
Authors: Zhao Chenbo
Published: September 2022

This article mainly uses tableau software to visualize and analyze the data of Forbes Top 500 companies in 2021, and from the visualized pictures, we can draw a report about the analysis of Top 500 companies in 2021 and the forecast of future industry development. From the visual analysis of the data, we can conclude that in 2021, Internet companies are growing rapidly and industries such as banking and insurance still maintain a high market share. Because of the rapid development of the information age, Internet companies and technology companies may have a brighter future. The traditional energy industry also still maintains a high scale and sales volume because of the high demand in the market. Finally, this article can bring some valuable data and suggestions for market analysis, industry investment.
The Impact of City-wide Lockdown in Shanghai on Chinese Financial Markets
Authors: Chen Yiwen
Published: September 2022

Since December 2019, the COVID-19 epidemic has rapidly spread to all parts of the world. Many countries and cities have adopted lockdown measures to contain the spread of the epidemic, which has brought unprecedented huge impact on the global economy, society, and financial markets, and also caused a strong impact on many industries. This public health emergency has also made the government, enterprises, and individual investors concerned about its impact on the stock market. This paper comprehensively examines the impact of COVID-19 lockdown on the financial market, especially the stock market.
Development and Prospects of Community Group Purchase Under the New Retail Model
Authors: Liu Jianing
Published: September 2022

With the development of new technologies and the COVID-19 epidemic in recent years, great changes have taken place in people’s consumption patterns. Community group purchase mixed with online and offline sales mode has been prosperous and integrated into consumers' daily life. This paper analyzes community group purchases from the perspective of its business model, supply chain, consumers, and capital investment. Research shows that abundant research on various aspects of community group purchase exist at present, among which the research on problems and countermeasures of community group purchase mode and the factors affecting consumer satisfaction is particularly popular. Many scholars have carried out valuable research with enlightening conclusions. Therefore, this paper combines the main research hot trends and puts forward suggestions for future research.
The Research Progress and Hot Spot Analysis of Labor Supply in China Based on CiteSpace
Authors: Zeng Ruihan
Published: September 2022

The analysis in the field of labor supply including the topic of general interest and frontier progress has a significant impact on the mobility and the development of the Chinese labor force. Based on the software of Citespace, this essay makes an in-depth study on the research achievements in the labor supply field published in CSSCI journals from 1998 to 2021, draws a knowledge map and systematically analyzes the research hotspots and frontier progress in this field. The results show that the hot areas of domestic labor supply research include demographic dividend, labor force, severe labor shortage, aging, unemployed people, demand, medical insurance, and so on. The latest research frontier in the field of labor supply in China is related to delayed retirement, manufacturing, artificial intelligence, aging, and intermediary effect. All the research is closely related to the national policy orientation. In the future, it is suggested to strengthen communication and cooperation between scholars and research institutions from a multidisciplinary perspective, enhance research and collaboration in the field of labor supply, reinforce the construction of facilities in labor supply, build a labor supply service system and constantly innovate the development model to promote the development of social integration.
Status quo bias in behavioral economics and its applications
Authors: Xiong Yuxinyang
Published: September 2022

The question of how individuals making decisions is of crucial interest in the field of economics and many other subjects. Evidences indicate that coming to the real-world decisions, many of people may tend to just stick with the default option instead of calculating the exact expected utility and making the most rational choices. In this paper, I will focus on this phenomenon and the psychological principles behind this. Results of empirical experiments and three specific applications including political elections, organ donations, school choices will be discussed.
China's real estate market reform and development path
Authors: Yu Hongxiao
Published: September 2022

China's real estate market has made an important contribution to economic and social development and has attracted widespread attention. The real estate market is not only concerned with housing problems, but also closely related to finance, residents and public services, and has become an important factor affecting economic and social development. This paper analyzes the main reasons driving the development of China's real estate market and discusses the possible problems. The results show that China's real estate market is in urgent need of reform and innovation to solve some existing contradictions, so as to promote high-quality economic development. Finally, this paper provides some suggestions for real estate development.
Research on the Influence of Media Use on Government Trust
Authors: Xin Zijun
Published: September 2022

The development of science and technology has promoted the diversification of media forms, and the emergence of new media has enriched people’s access to information. At the same time, this situation has also led to the rapid spread of some negative news and gradually dispelled people’s political trust. In order to explore the specific relationship between media use and government trust, it is necessary to conduct more in-depth research. Based on the CGSS2010 survey data, this paper focuses on the influence of media use on political trust and explores the relationship between media use and government trust in detail by using regression analysis, and factor analysis. It is found that the use of traditional media has a positive and significant impact on political trust, while the use of new media has just the opposite effect on it in general.
Analysis and Forecast of Housing Demand Impact in China's Underdeveloped Areas Based on XGBOOST Algorithm
Authors: Chen Bin , Li Jia
Published: September 2022

This paper takes China's underdeveloped areas as the research object, and takes Liangshan City, Sichuan as an example, to construct an index system of housing demand and influencing factors. On this basis, the XGBOOST algorithm and test indicators are established. By adjusting the parameters and taking the XGBOOST operation results as an example, combined with the test indicators, the results with the highest accuracy are screened out, and the independent variable importance analysis and housing demand forecast are respectively carried out to provide some inspiration and inspiration for the government. The results show that: (1) The factors affecting housing demand in underdeveloped areas mainly include real estate sales area; population growth and so on. (2) The XGBOOST algorithm constructed in this paper has good robustness and prosperous performance. The R2 is as high as 0.96 and the MSE is only 0.02. It predicts that the future housing demand will show a slow-growth trend.
Analysis of Key Drivers and Forecast for the Singapore Dollar
Authors: Sun Yutian
Published: September 2022

This paper analyzes the key drivers for the change of the Singapore dollar and makes predictions for its future trend. First, the author focuses on trade by discussing the GDP and current account of Singapore, mainly in terms of services. Second, the author focuses on inflation by discussing the current situation of inflation and Monetary Authority of Singapore’s monetary policy. In the end, the author forecasts that the exchange rate of the SGD against the CNY is expected to fluctuate in the short-time and strengthen in the long-time.
Loan Default Prediction based on Machine Learning (LightGBM Model)
Authors: Dong Xingzhe
Published: September 2022

With the rapid development of Internet finance, the number of online loan platforms has been increasing, and the scale of loan business is gradually expanding. At the same time, the bad debt and non-performing loan ratios have also risen sharply, the reasons for which include incomplete information of lenders, imprudent management of capital chain, inaccurate default prediction, etc. Therefore, loan platforms need a set of efficient and accurate loan default prediction solutions to ensure the healthy operation of Internet finance and avoid huge losses for platforms and investors. Current loan default prediction models mainly contain traditional machine learning methods such as logistic regression and decision tree, as well as integrated models such as Random Forest and GBDT. In this paper, we use LightGBM machine learning model to process massive loan default information using the lender information dataset on Tianchi Platform, and the process includes data preprocessing, feature engineering, model training and evaluation. The experimental results show that the LightGBM algorithm has a strong ability to predict loan default, with a final AUC value reaching about 0.73. This method is helpful for banks and Internet loan platforms to conduct background investigation and default prediction of loan applicants, so as to strengthen the ability of loan risk management.
Ownership, Corporate Governance and Enterprise Innovation-- Empirical Evidence from Shanghai and Shenzhen A-share Listed Companies
Authors: Lin Caiyan
Published: September 2022

Based on the data of non-financial listed companies in Shanghai and Shenzhen A-shares from 2008 to 2018, this paper empirically analyzes the relationship between enterprise ownership, corporate governance, and enterprise innovation and its influencing mechanism based on the panel data fixed effect regression model. The empirical results show that, firstly, there is a positive correlation between corporate governance level and enterprise innovation investment, that is, good corporate governance will promote enterprise innovation. Secondly, enterprise ownership positively regulates the positive relationship between corporate governance level and enterprise innovation investment. Further analysis results show that: thirdly, the above conclusions are more obvious in listed companies with low power concentration. The conclusion of this paper has great significance for improving corporate governance and promoting the healthy development of enterprise innovation and ownership reform.
Analysis and suggestions on stock valuation and profit forecast of Kweichow Moutai Company based on historical data
Authors: Xu Shenying
Published: September 2022

The prediction of stock value and earnings can provide reliable empirical evidence for the future development of enterprises. This paper takes Moutai Company as the research object, uses historical data of the enterprise and combines various valuation models, regression models, neural networks, time series models and sensitivity analysis to carry out stock valuation and profit forecast. The results show that the stock value and profit of Moutai will continue to improve in the future, reflecting the good operating performance of Moutai Company. However, some risk factors may also exist, and changes in the external environment may bring uncertainties to Moutai's future development. Therefore, risk factors should be taken into full consideration while making an optimistic estimate of Moutai's operating performance. Finally, this paper puts forward some suggestions, hoping to be helpful to the development of Moutai and related enterprises.
How corporate ESG performance affects green supply chain management
Authors: Hua Yaoyao
Published: September 2022

In recent years, corporate green supply chain management has attracted attention from social and environmental dimensions in the issue of global sustainable development. Based on the sample data of Chinese listed companies from 2014 to 2018, this paper studies the relationship mechanism between corporate ESG performance and green supply chain management, as well as the moderating effect of government subsidies. The study found that the ESG performance of enterprises helps to improve their green supply chain management level; government subsidies play a negative moderating role in the improvement of enterprise green supply chain management by ESG performance. According to the results, enterprises should integrate the ESG system into the green supply chain management process to balance the economic, environmental and social benefits of the enterprise. At the same time, the government and investors should also pay more attention to the disclosure of ESG information and force enterprises to take the road of green development.
Environmental Regulation and Green Innovation of Enterprises
Authors: Guo Xuan
Published: September 2022

Based on the sample data of Shanghai and Shenzhen A-share listed companies in the heavy pollution industry from 2012 to 2021, this paper empirically examines the impact of environmental regulation on the level of green innovation of enterprises by using the frequency of environmental protection words in the work reports of prefecture-level city governments as the proxy variable of environmental regulation. This study finds that government regulation significantly improves the level of green innovation of enterprises, supporting the “Porter Hypothesis”, and the promotion effect is more significant for non-state enterprises. This study plays an important role in improving the policy effect of environmental regulation, and puts forward some policy suggestions on how to reduce environmental pollution while promoting economic growth.
Research on the impact of digital inclusive finance on private enterprise’s leverage level with financial constraint as a mediating variable
Authors: Lu Yanxing , Wang Yiding , Qiao Kaixin
Published: September 2022

Along with the advent of the digital economy, digital inclusive finance has increasingly played an important role in alleviating the enterprises’ financing difficulties and contributing to healthy economic development. This paper examines the effect, mediating mechanism and heterogeneity of digital inclusive finance on the leverage of private enterprises by empirically analyzing the private enterprises on the Shanghai Stock Exchange and Shenzhen Stock Exchange from 2011-2017. It shows that digital inclusive finance can significantly reduce the leverage level of private enterprises. Also, it can be achieved mainly through alleviating enterprises’ financing constraints. The heterogeneity analysis shows that the dual effect of digital inclusive finance in alleviating financing constraints and reducing leverage level is more significant for large private enterprises and middle-western regions. In addition, the impact of digital inclusive finance on reducing short-term leverage is more significant compared to long-term leverage. Therefore, this paper enriches the research related to the impact of digital inclusive finance on enterprises at the micro level, and provides empirical evidence for promoting the development of digital inclusive finance and optimizing the financial supply system.
Implication and expectation on data analysis in automobile industry
Authors: Song Mingyuan
Published: September 2022

In the current automobile industry, the application of data analysis is in every corner of the industry. For example, BMW used predictive analysis to decide the new factory location. Deloitte specifically wrote a report about why the automobile industry should use more data analysis in production. Automobile expects more technological changes, and predictive analysis is a significant part that attracts automakers’ attention. This paper shows how data analysis helps human resources, accounting and finance, product design and development, supply chain and logistics, sales and marketing, and support services. The further study and report indicate that predicted analysis can increase consumer experience and collect the data in each detailed step.
Evolution of global strategic mineral resources trade pattern: a case study of copper
Authors: Huang Yumeng
Published: September 2022

As an important industrial raw material, copper is not only widely used in electrical, light industry, machinery manufacturing, transportation and other fields, but also plays an irreplaceable role in construction, national defense and information and communication fields. In particular, the proportion of electrical and light industry in copper consumption is increasing. This paper combs the copper industry chain, introduces the construction of copper trade network, and analyzes the copper trade pattern and the status of major economies in detail.
Research on the impact of digital inclusive finance on enterprise’s green innovation --with government grants as a mediating variable
Authors: Hou Wenhui , Cui Zihuai
Published: September 2022

Based on carbon neutralization, enterprise’s green innovation is increasingly becoming a significant support for high-quality economic development. This paper uses a two-way fixed-effects model to test the impact of digital inclusive finance on enterprise’s green innovation. It shows that digital inclusive finance can effectively promote the quantity and quality of enterprise’s green innovation. It also can indirectly promote enterprise’s green innovation by improving the precision of government grants. The heterogeneity analysis shows that the promoting effect of digital inclusive finance on green innovation is more significant in the middle and western regions, which lack financial services. And it is more significant in the heavy polluting enterprises, where the pressure of environmental regulation is greater; while the mediating effect of government grants is more significant in non-heavily polluting enterprises. Therefore, the digital inclusive finance should develop continuously, from multiple and differentiated dimensions, so as to promote enterprises' green innovation.
Data Analysis and Visualization for Dow & Jones Industrial Average Facing COVID-19 Pandemic
Authors: Xiong Haolin
Published: September 2022

This paper investigates the Dow Jones Industrial Average performance facing the crash triggered by COVID-19. We find that all constitute stocks experienced negative returns during the peak of a collision, but different constitutive sectors show us different elasticity in responding to the crisis. There are three sectors that offer such striking performances: Technology, Pharmacy&Biotech, and Oil that we conducted most parts of the research for analyzing these sectors. The Technology and Pharmacy&Biotech sectors had a satisfactory rate of loss compared to other sectors, whereas the Oil sector’s stock values fell dramatically. The analysis reveals not only the reasons why the index and its sectors reacted differently to the crash but also how should investors or anyone interested in the stock market conduct proper investment strategies for a potential future crisis.
Options Pricing and Trading Strategies
Authors: Hai Lun
Published: September 2022

Options are tools for managing risk. As financial derivatives, options make financial markets more complete. This article introduces the concept of options, pricing methods and common trading strategies, and uses the trading of AAPL as an example to show the application strategy of options in actual investment, which is a good demonstration for others to understand options trading.
Shaping Liquidity: On the Causal Effects of ESG Disclosure
Authors: He Boyu
Published: September 2022

As a core element of the capital market, stock liquidity has always been valued by all stakeholders of enterprises. As the market mechanism becomes more complex and the degree of information asymmetry intensifies, information disclosure plays a vital role in various economic activities. From the perspective of investor confidence, this paper studies the internal mechanism and action paths of ESG information disclosure, investor confidence and stock liquidity. Through the sub-analysis of ESG rating scores, the impact of environment, social responsibility and corporate governance on corporate stock liquidity is studied. The results show that :(1) ESG information disclosure has a positive driving effect on corporate liquidity, and investor confidence partially mediates the relationship between ESG information disclosure and liquidity. (2) Through the sub-research of ESG information disclosure, it is found that the rating scores of environment (E) and social responsibility (S) have a significant impact on stock liquidity, while the information disclosure at the level of corporate governance (G) has no significant impact on liquidity. (3) Heterogeneity analysis shows that ESG disclosure has a more significant impact on stock liquidity for companies whose auditors are not from the Big Four accounting firms than for companies whose auditors are from the Big Four accounting firms.