bluuebunny/crossref_metadata_2025 huggingface dataset:
The Research of NVIDIA Stock Price Prediction Based on LSTM And ARIMA Model
Authors: Yang Zhenhao , Wang Zhiyang
Published: January 2024

The paper explores stock forecasting methods using NVIDIA as the research object. It contrasts how well LSTM and ARIMA models forecast NVIDIA's stock return. According to the study, LSTM surpasses ARIMA in terms of prediction accuracy. However, both models capture the overall trend of the stock. The results suggest that LSTM is better suited for forecasting stock movements due to its ability to handle time series data. The non-stationary nature of the stock market adds complexity to predictions. The significance of stock forecasting is that informed investment decisions can be made to maximise financial returns. Stock forecasting aims to predict the future performance of individual stocks, market sectors or the market as a whole based on various factors such as historical data, market trends, company fundamentals and economic indicators. By analysing and forecasting stock movements, investors can identify opportunities to buy low and sell high, optimise their portfolios and potentially outperform the broader market. Successful stock forecasting can help investors make more informed decisions, reduce risk and improve their chances of achieving their financial goals.
Analysis of Sensors in VR Equipment to 3D printer in IoT System
Authors: Huang Houran
Published: January 2024

Virtual reality (VR) technology, artificial intelligence (AI), sensors and three-dimensional (3D) printing technology are all advanced and promising technologies. And these technologies are changing people’s life and social development. Besides, Internet of Things (IoT) is a product of the development of modern communications, which is gradually applied to real life. However, there is no current system including VR, AI, sensors, and 3D printing at the same time. Therefore, this article presents an IoT system to integrate VR, AI, sensor, and 3D printer. By using VR equipment to implement human-computer interaction, using AI technology to assist users with operation and optimize 3D printing, using sensors to add functions and using 3D printer to obtain real-time manufacturing, this IoT system can simplify and optimize users’ manipulation and it improves 3D printing technology. Because of the support of existing technology, this article explores the feasibility of IoT system and finds that it is a realistic system. This IoT system has positive effects on many industries like education, architectural design, and advanced manufacturing.
Research on GUCCI’s Business Strategies and Their Implications
Authors: Zhou Ziyu
Published: January 2024

The essay dissects GUCCI's comprehensive business strategies, encompassing design innovation, brand identity, marketing prowess, sustainability, and corporate social responsibility. It highlights the brand's adeptness at blending traditional motifs with modern trends, evidenced by its iconic logos and motifs. The significance of marketing campaigns, including collaborations and celebrity endorsements, is examined, alongside the brand's engagement with social causes. The essay also underscores GUCCI's commitment to sustainability and ethical practices, discussing its efforts to trace materials, reduce environmental impact, and uplift the lives of those involved in production. The conclusion assesses the impact of these strategies, emphasizing GUCCI's exceptional financial performance and competitive advantage. The brand's ability to thrive in a challenging market while maintaining its iconic status speaks to the effectiveness of its strategic approach. In essence, this essay showcases GUCCI as a paragon of brand strategy, highlighting the intersection of innovation, identity, marketing, sustainability, and responsibility. GUCCI's journey serves as a compelling example of how these elements can lead to enduring success in the ever-evolving luxury fashion landscape.
Intelligent Control Scheme for Traffic Signals at Multi-intersections based on Pedestrian Safety
Authors: Liang Weiming
Published: January 2024

Traffic congestion has become a more and more serious problem. Meanwhile, pedestrian safety problem is another issue under the circumstance of multiple modes of vehicles that needed to be dealt with. And these two problems can be effectively solved if the traffic signal is set reasonably. This paper proposes an intelligent control scheme for traffic signals at multi-intersections based on pedestrian safety, which is designed by using multi-agent deep reinforcement learning and self-attention mechanism. And Centralized training decentralized execution is also applied in this paper which can effectively downsize the action dimension to make the model learn much faster. Though pedestrian safety and vehicle efficiency are two contradictory factors, this paper dexterously designs the reward function to let the model learn the optimal timing scheme. And the model outperforms the fixed-timed scheme and deep Q-learning scheme in the simulation traffic environment, with fewer conflicts between pedestrians and vehicles, shorter average delay time and higher average speed of vehicles at the same time.
The Impact of the US Increasing Interest Rate on Internet Industry: A Short-term Perspective
Authors: Wang Zhirui
Published: January 2024

On March 16, 2022, Federal Reserve released the news that it was going to raise interest rate by 25 basis points, which officially commenced the year-long interest rate hikes. During this a year and half period starting from March 16, 2023, to July 26, 2023, Federal Reserve raised interest rate 11 times and brought the Federal Funds Rate reached 5.25% to 5.50%. This is the largest interest rate hike since 2000s and has had a significant impact on various areas, including the internet industry. This paper selected Dow Jones Internet (DJUSNS) index as an indicator to analysis how market reacts to interest rate hikes in the internet industry and uses ARIMA model to predict how DJUSNS would behave without the increasing in interest rate. This study predicts the possible future of the internet industry and provides investors who are interested in internet industry with market trends and investment opportunities. The paper concludes that the internet industry is negatively impacted by interest rate increases, primarily attributed to the following two factors: increase in the cost of capital and the decrease in investment returns.
Analysis of the Principle and State-of-art Applications of Si-Based Chip on Lidar
Authors: He Juwei
Published: January 2024

In recent years, as the feature size of transistors continues to decrease, Moore's Law is also approaching its limits. On this basis, In the post-Moore era, optical interconnect technologies with inherent attributes such as low latency, low power consumption, and low crosstalk have gained widespread attention in the industry. Silicon photonics technology has emerged, leveraging the accumulated knowledge from the silicon-based microelectronics industry over half a century. Optical phased arrays, unlike traditional mechanical-based lidar systems, offer advantages such as small size, low cost, and high accuracy. When combined with mature CMOS processes, they hold significant research value and market prospects. With this in mind, this study will discuss the principle as well as the state-of-art applications for Si-based chip on Lidar. According to the analysis, the current limitations are also demonstrated and suggestions are proposed based on the evaluations. Overall, these results shed light on guiding further exploration of chip developments on Lidar.
Advancements And Applications of Field-Effect Transistors in Modern Electronics
Authors: Tan Houxuan
Published: January 2024

Field-Effect Transistors (FETs) have evolved as fundamental semiconductor devices pivotal to modern electronics. This paper provides an extensive overview of FETs, encompassing their definition, classification, and historical development. FETs, such as Junction Field-Effect Transistors (JFETs) and Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs), are explained, highlighting their distinct characteristics and applications. Additionally, innovative FET variants like Piezoelectric Field-Effect Transistors (PiezoFETs) and High Electron Mobility Transistors (HEMTs) are explored for their unique attributes and applications. The paper underscores the critical role FETs play in diverse sectors, including low-power digital circuits, RF applications, biosensors, and flexible electronics. It emphasizes their contributions to achieving ultra-low power consumption, rapid analysis, and real-time, label-free diagnostics. The collaborative efforts of experts from various disciplines are emphasized as essential for optimizing FET-based biosensors. Furthermore, the paper emphasizes the exciting potential of graphene-based FETs (G-FETs) in Bioelectronics and their ability to revolutionize point-of-care diagnostics. G-FETs' scalability, low-cost manufacturing, and superior properties make them a promising choice for future healthcare applications.
Research On LSTM-Based Pricing Strategy for Vegetable Category Wholesale Price Prediction and Multi-Objective Planning
Authors: Liu Dan , Zhang Zheng , Zheng Yueyang , Yang Jia , Xu Minghua , Wang Lipeng , Wang Chenrui
Published: January 2024

Fresh vegetable products constitute an indispensable facet of both daily life and the developmental trajectory of the food industry. Owing to the susceptibility to damage and spoilage, vegetable commodities frequently engender substantial financial losses for food retail establishments. This paper addresses the replenishment and pricing decision problem for vegetable commodities and proposes a solution based on goal programming and LSTM time series forecasting models. Firstly, historical data analysis reveals a linear or logarithmic correlation between vegetable sales volume and cost-plus pricing. Subsequently, an LSTM neural network model is employed to forecast wholesale vegetable prices for the upcoming week. Building upon the forecasted results, a multi-objective programming model is established with the objective of maximizing revenue, utilizing daily replenishment total and pricing as decision variables. The model takes into account the constrained relationship between sales volume and pricing, as well as the lower limit constraint on wholesale prices. Additionally, the paper solves the programming model using the least squares method to determine the optimal daily replenishment quantity and pricing for each vegetable category. Finally, the computational results validate the effectiveness of the proposed method in guiding replenishment and pricing decisions for supermarkets, achieving revenue maximization. This study provides a feasible quantitative decision-making solution for supermarkets facing complex replenishment and pricing issues.
The Communication Strategy of Luxury Brands in China and the Benefit and Threats in Chinese Market to Improve in Localization-Taking Louis Vuitton as an Example
Authors: Li Chenxi
Published: January 2024

China's economy is growing rapidly. The consumption of luxury goods has ushered in a new era. Chinese market used thirty years' of change and discovery to accomplish the task that western countries finished in one century. Many luxury brands have pressed the accelerator button in the layout of the Chinese market. The occur of many luxury brands gives Chinese market unprecedented vitality and change the pattern of the world luxury market. From another perspective, the popularity of luxury goods in China is inseparable from the communication strategy of luxury brands in China. LVMH as a typical representative of luxury brands, it shows dignity to Chinese consumers through a variety of communication methods to present a noble and luxurious but friendly brand image, this successful communication strategy has set an example for Chinese luxury brands to follow and learn from. This paper conducts a comprehensive and profound analysis and research on Louis Vuitton's marketing methods in China, its advantages and disadvantages in the market, and how to improve them, so as to further provide useful experience for luxury brands in the Chinese market.
Research on Immersive Art design Experience based on VR Technology
Authors: Zou Zhengyao
Published: January 2024

The rapid advancement of virtual reality (VR) technology has sparked enthusiastic exploration by artists and designers in the field of art and design. This integration not only expands the possibilities of artistic expression but also provides an immersive experience for audiences. It is expected to reshape the art and design landscape, enabling artists and designers to push boundaries and create truly transformative experiences for viewers. The main objective of this study is to deeply investigate the immersive art design facilitated by VR technology and explore its potential for innovation in art and its impact on viewers. This paper analyzes VR technology, discussing the differences between VR art and traditional art, and explores innovative VR techniques. Furthermore, this paper summarizes the influence of VR technology on artistic experiences. Lastly, a concluding remark and future perspectives are provided. To summarize, the rapid evolution of VR technology presents immense potential for revolutionizing the fields of art and design.
New-Energy Electric Aircraft: A Review of the Developments and Challenges of Core Technologies
Authors: Li Qingyan
Published: January 2024

In light of the escalating global energy crisis and exacerbating environmental dilemmas, nations worldwide are amplifying their investments and research endeavors in advanced aircraft energy systems. The collective objective is the realization of aircraft that epitomize low-emission, low-noise, and minimal pollution, ensuring enhanced safety and comfort while championing energy efficiency. This paper provides a comprehensive exploration of the pivotal technology underpinning electric aircraft, offering a detailed exposition of the current developmental landscape and the inherent challenges encountered. The discussion delves into the transition from multi-electric and all-electric aircraft to entirely electric aircraft, underscoring the technological advancements and innovations propelling this shift. The paper meticulously examines the multifaceted aspects of electric aircraft technology, highlighting the significant strides made and the obstacles that persist. In addition to presenting a coherent overview of the existing state of electric aircraft technology, the paper ventures to propose potential, viable solutions to the challenges identified. This exploration contributes to the burgeoning body of knowledge, aiding the ongoing efforts to enhance the sustainability, efficiency, and efficacy of aircraft energy systems, ultimately contributing to global environmental conservation and energy sustainability.
Research on light pollution level based on comprehensive evaluation —— A case study of Beijing
Authors: Dai Zhenlin , Meng Deyu , Wang Xinxiang , Zhang Shuoxuan , Wang Xinyang
Published: January 2024

With the excessive use of artificial light, light pollution has become an increasingly serious problem. In order to accurately measure the level of light pollution in a certain region, this paper randomly selects 28 provinces in China as objects, and chooses the radiant luminance value L, the sky brightness, the glare value URG, the exposed area S, the GDP of gross domestic product and the number of inhabitants P as the indicators to measure the level of light pollution. Subsequently, using the Luo Jia 1 satellite and related databases, the indicators were weighted by entropy weighting method based on the TOPSIS model to obtain the corresponding scores of the 28 regions, and the normalised scores were recorded as the light pollution index. Finally, taking Beijing as an example, four types of areas were selected, relevant indicator data were collected, and the established TOPSIS model was used to obtain the value of the light pollution index and determine the light pollution level of these four types of areas.
Depression Detection on Twitter Text Based on Negative Emotion Score and Level of Depressed
Authors: Ji Houjun
Published: January 2024

This essay presents a method for detecting depression level detection based on the negative emotion score of social media text. The score is calculated by the NRC Word-Emotion Association Lexicon (EmoLex). The dataset will first be processed by the EmoLex model and then based on certain scores given by the model, three levels of depression will be generated for further classification. The advantage of this model is that the detected depression is classified into three levels, which can help people take different levels of response. The experiment is performed in Multi Labeled Depression Corpus of 60,000 English tweets. Three models are trained in this experiment: Random Forest and Logistic Regression. The result shows that Random Forest achieves 65.9% accuracy; Logistic Regression achieve 72.2% accuracy.
Analysis of the Principal, Fabrication and Application of AI Chips
Authors: Pu Tiancheng
Published: January 2024

As a matter of fact, artificial intelligence (AI) technology has developed by leaps and bounds with the rapid development computation ability and improvements of machine learning scenarios (e.g., deep learning neural network). On this basis, its applications have appeared in various fields in recent years. In order to support complex artificial intelligence computing, AI chips have gradually appeared in people's vision, as well as have played an essential role in the future development of life. With this in mind, based on the development of AI chips in recent years, this paper discusses the definition and classification, principles and design, preparation, and application of AI chips. According to the analysis, the current limitations in terms of the state-of-art facilities will be demonstrated. At the same time, this study predicts AI chips’ future development prospects, so that readers can have a more comprehensive understanding of AI chips and the field of artificial intelligence.
A Study of Inflation in the UK’s Economy in 2021 and 2022
Authors: Gao Zhihao
Published: January 2024

After COVID-19, global economies have been hit to various extents, and inflation has become one of the global problems. Moderate inflation can promote economic growth, but excessive inflation can lead to higher cost of living and production costs. Therefore, controlling inflation has become one of the main goals of most countries. This article aims to find a new way to improve the abysmal economic situation in UK. The article analyzes how COVID-19, Brexit and rising energy affect the inflation in UK from 2021 to 2022. This study also evaluates the effectiveness of the policies that imposed by Boris Johnson government and Elizabeth Truss government, including tax policies and labor market reform to correct cost-push inflation. From the results of the analysis, it is clear that the UK needs a strong and stable government to maintain long-term geo-political situation. It could go a long way toward easing inflationary pressures, but this depends on the attitude of the government. Otherwise, the fact proves that demand-side economic policies are ineffective under existing situation, and that only supply-side reforms can inject new vitality into the UK economy.
Loss Assessment and Response Strategies Based On ARIMA And TOPSIS Models Under Triple La Niña Events
Authors: Liu Jiayu
Published: January 2024

This study aims to develop forecasting and quantitative loss analysis models for potential triple La Niña events in different countries in order to assess and respond to potential La Niña disaster losses. First ,to build the ARIMA model, this study collected data from 2011 to 2020 and selected five indicators including Sea Surface Temperature (SST), Precipitation (PRCP), Temperature(TEMP), Standard Temperature and Pressure(STP) and Sea Level Pressure(SLP) that were more significantly correlated with the La Niña phenomenon, and then conducted correlation analysis using Pearson coefficient. Based on this, the research conducted principal component analysis to obtain three characteristic factors SST, PRCP and TEMP, and based on them, building ARIMA model to predict the possibility of La Niña occurrence in the future. Then, the study used the ADF test to check the smoothness. Second, this study carried out a TOPSIS evaluation to analyse the multiple damages caused by the high temperature and drought brought by the La Niña event in a country, taking into account the entropy weighting method-TOPSIS evaluation model, and determined the ranking of the indicators: La Niña event has the greatest impact on agriculture, followed by ecology and environment. Finally, the results of the score ranking were used to provide solutions. This study predicts the probability of future La Niña events through the development of two models, ARIMA and TOPSIS, assesses and analyses multi-indicator losses, comprehensively evaluates and ranks loss targets, and makes policy recommendations. The results of these studies contribute to the prevention and mitigation of losses caused by La Niña events, ensuring human safety and minimising economic losses.
Challenges and Achievements of the Nanjing National Government's Fiat Currency Reform from 1935 to 1937
Authors: Jin Dongchen
Published: January 2024

The Fiat Currency Reform in China holds a significant milestone in its financial history. In the 1930s, the Nanjing Nationalist government successfully tackled the deflation caused by the silver crisis and achieved national currency unification through currency reform. Simultaneously, this reform drove domestic economic development, preparing the nation for the subsequent resistance against Japanese aggression. Before this period, numerous scholars had examined currency reform. However, few have connected this policy and its profound impact on the current economic situation. This paper aims to study the currency reform by analyzing its historical context, specific measures, and its effects. It also summarizes its relevance to contemporary China's economy. Presently, China faces issues such as economic stagnation, a sluggish domestic market, and a heavy debt burden. The Chinese government can draw lessons from the currency reform by implementing policies like increased currency issuance and lowered interest rates to stimulate the market, attract foreign investment, and find a way forward for the future development of the Chinese economy.
Tax Cuts Impact on the Economy from the Perspective of Debt and Exchange Rate
Authors: Ma Ruijie
Published: January 2024

In September of 2022, the newly inaugurated British Prime Minister, Liz Truss, introduced an ambitious policy involving significant tax cuts to stimulate the economy swamped by the COVID-19 pandemic. Regrettably, her ambitious plan eventually led to financial insolvency and catastrophically impacted on the UK's economic growth. Through the rigorous examination and analysis of data, this article primarily attributes her failure to the absence of consumer confidence and the outflow of capital, which were consequences of the substantial currency devaluation caused by the surging government debt. Then, the article draws comparisons between the UK's tax cut and successful case studies from the United States and China, which effectively managed the side effects of expansive tax cuts or similar policies that led to substantial increases in government debt. The findings argue that tax reduction policies cannot yield favorable outcomes unless they are the US with global currency status or in nations like China which can largely eliminate the currency devaluation by a governmental control on exchange rates.
Comparative Analysis of Business Strategy and Compensation System in the U.S. Retail Industry
Authors: He Kaiwen , Lei Haixi , Liu Jingyi
Published: January 2024

With the development of today's world, all kinds of different life products and daily appliances are integrated into people's lives, and the recent boom in the retail industry is noticeable. With the development of the retail industry, this study would like to explore whether management compensation in the retail industry is reasonable. the paper selects three representative companies from countless retail companies to analyze whether their compensation standards are reasonable based on their performance in the industry and how their board compensation has changed over the past five years. The research chooses three representative companies, Costco, Target, and Walmart, listed the performance of their basic salary system in the past five years, and made a simple speculation based on the current situation of the retail industry. The research finds that the three enterprises have made corresponding salary system standards according to their different positions in the industry and, combined with their future development, make more reasonable salary standards.
Research on Portfolio Management in Financial Markets Against the Background of the Epidemic
Authors: Shi Mengqi
Published: January 2024

Portfolio management serves as an important role in risk management, therefore, the paper intends to study its role in risk hedging and the influence of the COVID-19 pandemic on certain examples, whose data are from Yahoo Finance. The main methodology is to apply mathematical models on collected data and study the effectiveness of portfolio management including portfolio optimization and time series analysis. It can be concluded from the results that different stocks have different similarities according to the clustering results. A fixed portfolio is best suited for real capital assets in pursuit of lower risk level and higher profits under a relatively stable circumstance. And the pandemic has direct impacts on the stock price including higher variance and higher level of volatility. The meaning for this research is give illustrations and models that can be further applied in real financial markets added with the consideration of significant events such as pandemic.
The study of the direction of navigation of ships in a particular sea area
Authors: Wang Yitong , Lu Ziyi , Ma Dihao , Yang Zixin
Published: January 2024

Multibeam bathymetric system is a further development of single-beam bathymetric system, which can send and receive hundreds of beams at the same time during the working process, and carry out full-coverage bathymetric strip measurements in the smooth sea area on the seabed. In this paper, we model the coverage width and the overlap rate to further reduce the errors occurring in the measurement process, and at the same time, we design a scheme for the given data and constraints to solve the practical problems. The process analysis facilitates the practical application of multibeam bathymetry system, improves the problems of failing to achieve the full coverage of the sea area and the high overlap rate, and provides a new idea for the seabed detection of multibeam bathymetry.
Trends and Prospects of Port Digital Transformation
Authors: Li Xiang
Published: January 2024

In the field of shipping, an increasing number of ports are transitioning from traditional manual container terminals to automated and intelligent container terminals. Automated container terminals are a new generation of ports that are based on modern infrastructure and powered by advanced information technology and port transportation. This article attaches importance to introducing the research background of automation and intelligence in container terminals and explains the application of advanced intelligent technologies and automation machinery. Next, it analyzes the current status of automation in container terminals, using four automated ports: TraPac Port, Long Beach Port in the United States, Nansha Port, and Tianjin Port in China. Finally, it discusses the challenges faced by automation and intelligence in container terminals and highlights the need for government support in terms of economy and policy.
Structure Design Of ROV-Based MOPU Platform Pin Hole Spin Cleaning Device
Authors: Hou Jianhua
Published: January 2024

The pile legs of the MOPU platform have been submerged in seawater for a long time, and there are a large number of Marine organisms on the surface, which has a negative impact on the stability of the platform and needs to be cleaned regularly. Most of the existing jacket cleaning technologies are aimed at cleaning the outer surface, and there are few studies on cleaning the Marine organisms attached to the pin holes of the pile legs of MOPU platform. In order to solve the above problems, this paper firstly designs a spin-type pin hole cleaning device based on underwater wall-climbing robot by drawing lessons from domestic and foreign experience. At the same time, the Fluent simulation of three commonly used cavitation water jet nozzles is carried out, and the most suitable nozzle type for pin hole cleaning is selected from the organ pipe type, shear type and corner cavitation nozzles. In the actual operation, the water temperature and depth around the ROV are changing, so the simulation needs to consider the influence of temperature and depth changes. In this paper, a reasonable point is put forward for the structural design of the spin cavitation cleaning device. The simulation results show that the corner cavitation nozzle should be selected in the pinhole cleaning operation.
Factor Study: Factors Influencing GRP in Various Provinces of China
Authors: Qin Dawei
Published: January 2024

The development speed of China is evident throughout the world. However, the development speed within each province in China varies greatly. In order to explore the variables that would have an impact on the economy of various provinces in China, this paper examines the factors impacting GRP in various provinces by using a year-fixed effect model and official data from the China National Bureau of Statistics in 2017. Results indicate that household consumption expenditure, urban employment, and freight traffic are positively correlated with GRP. The above results provide a reference basis for subsequent research and policymakers. However, the number of higher education students has a negative impact on GRP, and this result needs to be further explored in subsequent research.
Multi-beam Line-finding Problem Based on Geometric Model
Authors: Xiong Yifei , Hu Xiya , Wang Yahong
Published: January 2024

In this paper, a geometric model is established to study the problem of multi-beam sounding line deployment. In this paper, the index of multi-beam sounding is calculated firstly. The geometric model of the path of the acoustic signal transmitted by the measuring ship and the transducer of the measuring ship, the seabed slope and the plane perpendicular to the direction of the measuring line are established. The mathematical relationship between the coverage width W of multi-beam sounding and the overlap rate between adjacent strips is obtained, and the overlap rate between adjacent strips is calculated. Finally, the model is tested to meet the robustness and the model is correct. Secondly, this paper studies the coverage width W of multi-beam sounding. According to the two cases that the coverage width W has nothing to do with the slope of the seabed and the coverage width W has something to do with the slope of the seabed, the geometric models of the measurement ship, the path of the acoustic signal emitted by the transducer of the measurement ship, the seabed slope and the plane perpendicular to the direction of the survey line are established respectively, and the geometric model is tested. The model is correct.
Research on the Effect of China's Digital Economy on Global Value Chain
Authors: Chen Xiuqi , Wang Zifu , Zhu Yujin
Published: January 2024

It is a fact that as a result of the developing new round of scientific and technological revolution and industrial transformation, nations all over the world must concentrate on the digital economy if they are to seize new opportunities for development and establish new competitive advantages. Businesses now face possibilities and difficulties as they deal with a new cycle of global value chain reconfiguration. The integration of digital technology has changed how individuals participate in global value chains and how they are geographically organized. As a new economic structure, it can encourage a significant driving force for economic and social progress and is a key factor in altering a nation's competitiveness. Additionally, it dramatically alters the geographical configuration of the value chain's division of labor to facilitate the growth of digitization, services, disintermediation, and manufacturing customization. This paper examines the status of China today, the participation and development of the digital economy, as well as the role and impact of the digital economy on China's global value chain. The study mentioned above is used in this paper to draw conclusions on the uneven development of China's many regions and the lack of adequate data governance, as well as to suggest workable solutions.
The Tendency of Investing in Transportation Industry
Authors: Zhao Haojing
Published: January 2024

The background of this paper is that between 2023 and 2022, traffic is still an indispensable part of people's daily life and a necessary condition for the development of social order and economy. Vehicle manufacturers are an essential part of the transportation industry, and the new energy industry and the traditional energy industry compete with each other and jointly promote. This paper aims to study the investors attracted by big-name companies in the transportation industry by analyzing various indicators. This paper selects are three high-profile in the transportation sector, internationalization and very competitive in the market and the voice of the company, including Nio, Boeing and Ferrari. A total of 13 financial indicators are collected and compared among the three companies. After analyzing and comparing 13 kinds of financial indicators, this paper deduces that value investors, index investors and growth investors are likely to invest in Nio, index investors, momentum investors and DCF investors are likely to invest in Boeing, ratio investors and growth investors are likely to invest in Ferrari.
Recent Advances in Wireless Power Transfer Technologies for Electric Vehicles
Authors: Chen Siqi
Published: January 2024

With the advancement of innovative technology in the contemporary world, wireless power transfer technology is also playing an increasingly important role in electric vehicles. In the past, there did not have enough electric products and spaces to apply to this wireless charging technology so the use of it by humans is limited to some levels of understanding of the technology, such as one or two technical classifications contained in wireless power transfer (WPT). However, people have more in-depth research on convey of power wirelessly and charging for the electric vehicle nowadays. By reason of this situation, this paper focuses on the three technologies in the WPT system, which are magnetic resonant coupling, capacitive coupling, and inductive coupling. Meanwhile, the compensation network that is associated with three technologies is also illustrated directly in it. Additionally, it compares those technologies in a clear table with advantages and disadvantages. Eventually, it summarizes all the previous content and proposes a vision for the future improvement description.
Analysis of BYD Zero Cost Shareholding Incentive Plan
Authors: Dai Yan , Wang Zhanfeng , Zhao Chenchen
Published: January 2024

As a matter of fact, with the continuous entry of new energy into the market, the competition among new energy enterprises has gradually increased. In this case, each new energy enterprise continues to maintain its own original interests and open up a wider market through the reform of the company and financial structure and the implementation of various incentive plans. BYD, as a rapidly rising domestic new energy vehicle, has also made corresponding plan adjustments in recent years. With this in mind, we combined different reference materials and data, through the comparison of BYD company in different periods, to BYD 2022 new proposed "zero cost" employee stock ownership incentive plan to make an analysis. According to the analysis of its implementation motivation, the relationship between decision-makers and shareholders, the effect of implementation and other aspects of the corresponding conclusions and revelation. Overall, these results shed light on guiding further exploration of shareholding incentive plan.
Research on Victim Genders in LA based-on Machine Learning
Authors: Feng Yuan
Published: January 2024

Recent years, more and more victims in crime in Los Angeles, especially after COVID-19. And women have more fear of crime and feel that they are more vulnerable than men. This article studies the future victim gender prediction by using algorithms in machine learning, like KNN, logistic regression and neural network. Machine learning has become more and more popular in the past few years. The results show that females are not seem as more vulnerable in crime than males in LA region. In addition, neural network method performs better than KNN and logistic regression, showing higher accuracy and f1-score. The accuracy of KNN is 59.82% and the f1-score is 65.36%. The accuracy of LR is 61.31% and f1-score is 67.76%. The accuracy of neural network is 62.58%, the f1-score is 70.22%. The result in this article can help the government to mitigate the heavy anxiety of females about being a victim in crimes.
The Sustainable Development of Chinese Technology-Based Small and Medium-sized Enterprises under Government Policies Analysis Based on the PEST Model
Authors: Huang Haoxiang
Published: January 2024

With the development of the economy and the policy support of the government, China's small and micro enterprises have mushroomed, especially in the field of technology. The National Bureau of Statistics has reported that by 2023, the Chinese government will have fostered around 60000 specialized and high-end technological businesses. From a political perspective, the government will build a policy system conducive to the development of small and micro enterprises. From an economic perspective, government policies will improve the investment and development confidence of small and micro enterprises. From a social perspective, the government promotes small and micro enterprises to improve their soft power through the publicity of innovation culture. From the perspective of science and technology, government documents point out the macro development direction for the scientific research of small and micro enterprises. In addition, this paper points out the problems existing in small and micro technology enterprises under the government preferential policies, and puts forward reasonable suggestions for their development, so as to promote the healthy development of small and micro enterprises.
Study on the growth potential of the medical escort industry based on swot analysis
Authors: Yuan Yu , Chen Xingchi , Zhang Qirui , Xu Ruihan , Jiang Jing
Published: January 2024

The medical escort industry has attracted much attention with the deepening of social aging. Its service targets cover the elderly, pregnant women and other special groups, filling the gap in the demand for family escorts. This paper analyses the industry using swot, and the results show that the industry has problems such as unclear price positioning and low barriers to entry for practitioners, which affect service quality and industry reputation. Despite the fragile development of the industry, it has great potential. Through caring services, integration with smart technologies, and the provision of ongoing 'aftercare' services, the industry is expected to expand its service offerings to a wider range of services. However, challenges such as high prices and low barriers to entry still need to be overcome. This suggests that the medical escort industry has both opportunities and challenges for future growth, which need to be overcome in a concerted effort to provide better service quality.
Analysis of Autonomous Vehicle Control Algorithm Based on Different Models
Authors: Li Zhunhao
Published: January 2024

As a matter of fact, the rise of autonomous vehicles (AVs) has necessitated the development of advanced control algorithms to ensure safe and efficient operation in recent years. With this in mind, the aim of this paper is to provide a comprehensive analysis of control algorithms for self-driving vehicles and to identify research opportunities for innovation by comparing the strengths and weaknesses of existing algorithms. On this basis, through a careful dissection of existing literature as well as case studies, this study provides an in-depth understanding of different control algorithms and a comparative analysis of performance metrics from real-world tests and simulations. To be specific, three models will be applied. According to the analysis, the results of this study emphasize the critical role of accurate vehicle dynamics in the development of complex automated driving control algorithms at the same time, paving the way for safer, more efficient as well as sustainable transportation solutions.
Information Asymmetry in Financial Markets: A Theoretical Review of Its Impact on IPO Underpricing
Authors: Lu Ziqi
Published: January 2024

Recent trends have highlighted a significant prevalence of IPO underpricing. The primary focus of this study will be on the influence of information asymmetry on IPO underpricing within the financial market, followed by an analysis of the causes and consequences of this trend. Firstly, it briefly introduces the overview of information asymmetry and links to its importance within the IPO market. Then, it reviews two important concepts from existing literature regarding information asymmetry and IPO underpricing: the market of “lemons” and the herding effect. However, the study does not merely dwell on illustrating these two concepts; it also critically evaluates their limitations while also addresses the pros and cons of IPO underpricing caused by information asymmetry. Finally, it offers potential solutions for the information asymmetry problem to lessen IPO underpricing. The findings and significance of this research are particularly significant for financial market participants and decision-makers, as they help to better address and manage concerns with information asymmetry in financial markets. Through this multi-faceted exploration, the paper aims to unravel avenues that foster transparency, equitable valuation, and sustainable long-term development within the IPO market.
3D Printing Distributed Mold Intelligent Manufacturing Model Analysis
Authors: Ju Canze
Published: January 2024

In recent years, with the rapid development of technologies such as 3D printing, distributed manufacturing, and intelligent management, the manufacturing industry is undergoing a revolutionary transformation. The emerging 3D printing distributed mold intelligent manufacturing mode combines these cutting-edge technologies, aiming to achieve personalized and flexible production. This is leading the manufacturing industry towards intelligence and customization. This paper discusses the core concepts and key technical elements of 3D printing distributed mold intelligent manufacturing mode. This model combines 3D printing technology, distributed manufacturing, and intelligent management to achieve personalized and flexible production. From cloud intelligent platform, 3D printing manufacturing, distributed manufacturing to business model innovation, the management characteristics of this model in production, design, value chain management and business are discussed. Examples such as Quirky and 3D Systems are used to illustrate the practical application and innovation of the model. This model not only promotes innovation in manufacturing, but also brings new prospects for personalized production and consumption patterns.
Analysis of the Causes of the Split of the Commonwealth of Independent States
Authors: Nie Yongjia
Published: January 2024

In recent years, the influence of the Commonwealth of the Independent States (CIS) international organization has declined, and the role of its internal summits has become less and less. In fact, there is a gradual division within the CIS. This paper deduces the reasons for the CIS' division by studying and analyzing the problems of race, religion, political ideas, and economic problems caused by external influences. Russia cannot lead regional development, and there are many contradictions between countries. Through this article, you can understand the historical problems of Russia and Ukraine and the reasons for the problem of economic stagnation that existed during the Soviet period.
Can the Term Structure of Credit Promote the Green Innovation in China?
Authors: Wang Yongtu
Published: January 2024

The term structure of credit is significant to the cultivation of green innovation ability and high-quality economic development in each province. Using panel data for thirty Chinese provinces from 2005 to 2019, this paper analyzes how the extending term structure of credit impacts the development of green innovation in each province and its internal mechanism. The results are as follows. Firstly, the extending term structure of credit has promoted green innovation, which is more remarkable in innovative provinces. Secondly, the mechanism analysis shows that the extending term structure of credit improves green innovation activities in provinces to a certain extent, thus reducing environmental pollution by mitigating emissions of carbon dioxide and sulfur dioxide. According to regulating effect analysis, the provincial competition for scientific and technological innovation and environmental protection helps to boost the positive effect of the extending term structure of credit on the development of green innovation. The conclusion of this study provides empirical evidence and policy suggestions for advancing the transmission mechanism of the term structure of credit, which optimizes the relevant governmental policies about green innovation promotion to further develop green innovation in various provinces.
Financial Technology and the Economic Performance of High-tech Industries: A Comprehensive Research based on Econometric Model
Authors: Chen Ying
Published: January 2024

High-tech industries play a pivotal role in driving the high-quality economic development of contemporary China. Financial technology, characterized by innovation as its core driver, offers indispensable support and strategic direction for the advancement of high-tech industries. Applying the Peking University Digital Financial Inclusion Index from 2011 to 2020, this paper explores the correlation effects of financial technology on the economic performance of high-tech industries (EPHI). The result reveals that: (1) digital finance enhances EPHI. (2) in terms of decomposition terms, both the coverage breadth and usage depth of digital finance have a significant positive impact on EPHI. (3) reginal heterogeneity studies show that digital finance increases EPHI in developed provinces more significantly. (4) technology innovation plays a part in mediating the process of digital finance to enhance EPHI. This paper adds new empirical evidence to the long-term government policy for the development of high-tech industries.