bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting and Analyzing the Bitcoin's Price with the ARIMA Model
Authors: Rao Yijie
Published: June 2024

Virtual currencies have become one of the most welcomed financial investment properties by investors, managers, and researchers. In this essay, we analyze the Bitcoin price from 2017 to 2023 and forecast the price of the Bitcoin. ARIMA model plays an important role in time series prediction, and many researchers choose to use this model to analyze and forecast historical time series. Therefore, this paper is based on the Autoregressive Integrated Moving Average Model (ARIMA) mode, by using the previous Bitcoin price to forecast the future price of Bitcoin. The outbreak of COVID-19 in late 2019 which then spread from China to the world has had a huge negative impact on the global economy. At the same time, owing to the impact of COVID-19 being significant, this paper will also analyze the influence of the pandemic’s influence on Bitcoin. The result shows that the epidemic has a great influence on it and reflect a different consequence of other industry. Investors and others should be cautious about investing in bitcoin.
CEPS Perspective: The Impact Mechanism of Parents' Academic Expectations on Junior High School Students' Self-Efficacy
Authors: Jin Yitong
Published: June 2024

This study utilizes the rich data resources of the China Educational Panel Survey (CEPS) to systematically analyze and explore the relationship between parents' academic educational expectations and junior high school students' self-efficacy. The research focuses on multiple variables such as family background, parent-child relationship, and individual student characteristics, and deeply examines how these factors interact with parents' academic educational expectations and the self-efficacy of junior high school students. By comprehensively considering various factors, this study aims to reveal how parents' academic educational expectations influence the self-efficacy of junior high school students through different mechanisms.
Meal-on-wheel Service Facility Location Strategy for Longhua District in Shenzhen based on GIS
Authors: Lin Meiyan , Tong Weizhi , Li Jingyuan , Guo Caixuan , Liu Anqi , Wang Ting
Published: June 2024

With the development of Shenzhen, aging population with needs of Meal-on-Wheel (MOW) service is increasing as well, especially Longhua District. This paper analyses the characteristics of the aging population in Longhua District, and evaluates the accessibility and living quality of current meals service location by applying Geographic Information System (GIS). It finds that the meal service system struggles from low demands and quality, highly depends on government subsidies, lacks of participation from social enterprises, and diversity in service levels. Based on the analysis, proper location strategy is made, and proper MOW service locations are allocated by GIS to extend the coverage of MOW services and suggestions are made properly to promote the improvement of the quality of catering services.
Explore the Motivation and Path of Green Transformation in Cement Industry
Authors: Gao Lanxin
Published: June 2024

The cement industry in China plays a very important role in the manufacturing industry, and the transformation and upgrading of the cement industry is an important part of promoting the realization of the "double-carbon" goal. This paper sorts out the development status of the cement industry, summarizes the motivation of its green transformation, and deeply analyzes the possible path of its transformation, providing a possible reference for the transformation and upgrading of the cement industry.
Research on The Dielectric Property of Nano-doped Aramid Paper
Authors: Zhang Xinwei , Zhang Xia , Lyu Fangcheng
Published: June 2024

Oil-paper insulation systems are widely used in high-voltage equipment. Reducing the dielectric constant of insulating paper can improve the dielectric coordination of the oil-paper combination system. At present, a large number of new synthetic insulation materials have been produced, and some new composite insulation papers have low dielectric constant and high electrical strength properties. This article studied the optimal process flow for preparing aramid paper in the laboratory, trial-produced laboratory hand sheets with three types of nanofillers at different doping concentrations, and conducted relative dielectric constant and dielectric loss tests to select Laboratory samples with the best performance; the main research results achieved in the paper are as follows: ①Researched and determined the optimal process flow for making aramid paper in the laboratory, explored the effects of different rolling pressures and rolling temperatures on the dielectric properties of the paper, and determined the optimal rolling temperature and temperature of meta-aramid paper. The pressures are 200℃and 0.3Mpa respectively. ②Meta-aramid paper doped with SiO2, TiO2 and x nanoparticles was prepared, and the relative dielectric properties of the three nanoparticles at the optimal doping amounts (15%, 3% and 4%, respectively) were compared. Constant and dielectric loss, it is determined that the dielectric properties of 4% C3N4 nanoparticle-doped paper are at a relatively excellent level. Compared with pure paper, its relative dielectric constant is not much different, and it can better cooperate with transformer oil. At the same time The dielectric loss is reduced, so nanoparticles of this type and concentration are used as fillers to improve the electrical properties of aramid paper.
Analysis of the Application of the "14th Five-Year Plan" for the Development of Traditional Chinese Medicine in Grassroots Hospitals in the Post-Epidemic Era
Authors: Han Xiao
Published: June 2024

The application of TCM treatment methods provided important support for the prevention and treatment of COVID-19 and also brought opportunities for the development of TCM. In the post-pandemic era, the good effects of traditional Chinese medicine have enabled its promotion and application in primary healthcare, laying the foundation for the development of traditional Chinese medicine policies. With the promulgation and application of plans such as the "14th Five Year Plan" for the development of traditional Chinese medicine, this article studies the existing problems and provides corresponding suggestions based on the specific content and application overview of the policy. The problem is that there are discrepancies between the formulation of plans and the actual situation in the region and insufficient specific management efforts in the implementation of plans during the policy implementation process. Based on this, this article proposes the following suggestions. Improvements need to be made from three aspects: establishing an effective management system that is lacking, strengthening education and publicity efforts, and coordinating and planning various development matters.
Analysis of Pokémon's Positive Impact on the Economy and Society
Authors: Xie Ning
Published: June 2024

Pokémon is the world’s most well-known media franchise which makes a great contribution to the economy and society, most people do not know how exactly Pokémon is performing on financial outcomes, how it can create economic and social value, and to what extent Pokémon can reach on the value. As a result, this essay focuses on the questions listed above, analyzing objective data and information listed and collected by professional data websites and studies. The economic data includes the overall revenue, the first month's revenue, the annual revenue, and the revenues of live events, and the social data includes Pokémon GO’s effects on the physical activities of players, average steps per day for players, and reflections on mental health. Based on the data, it is found that Pokémon can create tremendous economic and social value by its ability to bring revenues and influence people’s activities. More details can be added to the analysis in the future to facilitate studies about the economic and social impact of Pokémon in different specific fields.
LSTM-DL: A Counting Optimization Approach for LSTM-Based DV-Hop Localization Model in Wireless Sensor Networks
Authors: Huang Bosong
Published: June 2024

The quest for precise localization of unknown nodes in Wireless Sensor Networks (WSN) garners significant academic attention, further intensified by the burgeoning domain of meta-heuristic algorithms. Traditional localization methods, such as the Least Squares Method (LSM), inherently yield lower accuracy, a limitation that this paper aims to transcend. We introduce a robust deep learning model grounded in Long Short-Term Memory (LSTM-DL) designed to enhance localization processes by effectively minimizing distance measurement errors in network topologies. This approach is augmented with an improved evaluation function, meticulously tailored to mitigate topological inaccuracies. Through rigorous experimental validation, the LSTM-DL model demonstrates a remarkable performance leap, surpassing the conventional DV-Hop method and outperforming existing meta-heuristic algorithms in accuracy and reliability. The findings decisively suggest that meta-heuristic approaches, and specifically the advanced LSTM-DL, hold substantial promise over traditional DV-Hop in the sphere of node localization within WSNs.
A Study on the Factors Influencing the Competitiveness of Small Commodity Export Trade in Yiwu City and Development Strategies
Authors: Duan Haoming
Published: June 2024

Yiwu City, as the world's largest small commodity distribution center, has developed the world's most comprehensive small commodity production system based on China's vast industrial production system and high-quality cheap labor. However, with the continuous development of China's industrial upgrading and the constantly changing international situation, the small commodity industry in Yiwu City is also facing the contradiction of maintaining its current production positioning and industrial upgrading. Therefore, this article will establish an econometric model for the influencing factors of the small commodity industry in Yiwu City. Based on the research of previous scholars and the author of this article, four variables, namely GDP, exchange rate, annual average wage, and actual utilization of foreign investment in Yiwu City, will be selected for econometric simulation. Finally, it is concluded that, except for the actual amount of foreign capital, the other three variables can promote the export competitiveness of the small commodity industry.
Research on the Development of China's New Energy Vehicle Industry Based on Spearman's Model
Authors: Huang Yiding
Published: June 2024

This study aims to explore the development of China's new energy vehicle industry and proposes a model and solution for two problems. First, by analyzing the impact of six factors on the development of the new energy vehicle industry, including policy support, technological development, individual purchasing ability, infrastructure, energy price and environmental awareness, and establishing a Spearman model to analyze the correlation between them and the industry development indicators. Based on the results of the analysis, the indicators of China's new energy electric vehicle sales, China's new energy R&D investment, China's number of charging piles and per capita GDP were selected, and the weights of the indicators were determined using the independent weight coefficient method, and a model of the development trend of China's new energy automobile industry in the next ten years was established by fitting the time variable. Finally, through the model prediction, we find that the new energy vehicle industry will develop rapidly and show exponential growth in the next decade.
A study of the dynamic relationship between the RMB exchange rate, foreign exchange reserves and monetary policy
Authors: Zhang Yuting
Published: June 2024

In today's globalized economic environment, the relationship between China's RMB exchange rate, foreign exchange reserves and monetary policy has become more and more complex, and is crucial to the stability and sustainable development of the economy. The interactions among these three have a direct impact on China's macroeconomic situation, so it has become a very urgent task to study this relationship in depth. This study combines theoretical and empirical research to deeply analyze the dynamic relationship among these three, aiming to provide practical guidance for the formulation of China's monetary policy.This paper selects the time series data of RMB exchange rate, foreign exchange reserves and money supply from 2003 to 2023 to study the relationship between RMB exchange rate, foreign exchange reserves and monetary policy. This paper will deeply explore the impact of the government's market intervention on the RMB exchange rate under different exchange rate regimes, especially under the fixed exchange rate regime and the floating exchange rate regime. This paper will delve into the transmission mechanism of monetary policy, especially the flexibility and adaptability of monetary policy under the volatility of global financial markets and changes in economic cycles. In terms of empirical research, this paper will use the VAR model and the GARCH model for time series analysis to verify the applicability of the theoretical mechanism in practical situations and provide lessons for the formulation of future monetary policy.
Application performance of three common solid-state electrolytes in batteries
Authors: Liu Yanyi , Peng Haoxuan , Zhang Liqing
Published: June 2024

Due to the hidden benefits such as the possibilities to make energy density high, safety improved, and lifespan extended, solid-state batteries are a focal point in battery technology research. Current liquid electrolyte-based lithium-ion batteries, despite their maturity, have inherent issues like safety risks and limited energy density. While the advancement in solid-state battery technology can potentially overcome certain challenges, it also encounters its own issues including high contact interface impedance and ion transmission efficiency. For solid-state batteries to supplant traditional lithium-ion batteries in the future, these challenges must be addressed. The research provides an in-depth analysis of the three major types of solid-state electrolytes currently prevalent in the market, including oxide, sulfide, and polymer electrolytes. This is especially true for the electrochemical analysis of batteries after the electrolyte has been used. Each has its unique properties, synthesis methods, and limitations. Oxide electrolytes excel in high-temperature ionic conductivity but underperform at room temperature. Moreover, the synthesis of oxide solid electrolytes requires fine control over temperature and atmosphere, thus demanding high technical expertise. The sulfide category shows promise in room temperature conductivity, albeit with stability issues. Polymer electrolytes, however, are flexible and processable but have generally lower ionic conductivity. To enable large-scale applications, future research needs to focus on improving these electrolytes’ performance and developing cost-effective and efficient synthesis methods. The importance of research into solid-state lithium-ion batteries is tied to their capacity to transform the energy storage sector.
Thinking and Research on the Construction of Web Application Firewall in Smart Campus Environment
Authors: Hu Lingyun , Wen Shuai , Yuan Hongjun
Published: June 2024

With the rapid development of information technology, the Internet has penetrated into various fields, especially the field of education. As an important carrier of education informatization, smart campus provides strong support for improving education quality and management level. However, the network security problems of smart campus also come up, especially the security problems of Web applications. Web Application Firewall, as an important network security technology, plays a vital role in the construction of smart campus, and is of great significance for guaranteeing the information security of smart campus. This paper mainly discusses how to effectively build a Web Application Firewall in a smart campus environment, including the design, configuration, and management of the firewall, in order to safeguard the security of the smart campus network.
Research Progress of Two-Stroke Internal Combustion
Authors: Mao Yanjun
Published: June 2024

In a world that is gradually moving towards renewable sources of energy, the 2-stroke motor with it is low efficiency and high emission is being phased out. However, there are some applications which require the unique characteristics of the 2-stroke motor, making it the only suitable form of power for those applications. This paper will discuss the operating principle of the 2-stroke motor, how its construction is able to be simplistic and light, and how it has a high power-to-weight ratio. This paper will also discuss the relatively inefficient scavenging process caused by the simplistic nature of the 2-stroke engine, leading to high emission, low efficiency, short engine life, and noise. To solve these problems, mechanical solutions such as electronically controlled direct injection, delayed charging, and variable compression have been developed and are now common, while recent research into the use of bioethanol and hydrogen as fuel can further decrease emissions and increase efficiency. Therefore, the purpose of this paper is to summarize past and recent research regarding the strengths and limitations of 2-stroke internal combustion engines and the future developmental direction of 2-stroke engines in alternative fuel.
Research on the Link Between Obesity and Cardiovascular Disease Risk
Authors: Gao Yanfeng
Published: June 2024

This research examines the complex relationship between obesity and the risk of cardiovascular disease (CVD). Using a comprehensive dataset, we conducted a one-sample t-test to determine the significance of 17 variables related to obesity. The results showed that all variables, including demographic, lifestyle, and behavioral factors, significantly deviated from zero, indicating their importance in obesity studies. An ordinal logistic regression analysis was conducted to explore the predictors of obesity classification. The analysis revealed complex interactions among various factors. The study highlights the multifactorial nature of obesity and its impact on cardiovascular disease (CVD), providing insights for healthcare policies and future research directions. It particularly emphasizes the need to understand the role of less significant factors and the influence of cultural, environmental, and socioeconomic contexts on obesity. The implications of this research are significant for both the medical field and public health policy. The findings emphasize the intricate interplay of multiple factors in obesity and its correlation with the risk of cardiovascular disease. This comprehension could lead to more effective and targeted interventions, preventive measures, and policy formulations. For future research, it opens avenues to explore the role of less significant factors and to understand the impact of cultural, environmental, and socio-economic contexts on obesity. This study highlights the necessity of a comprehensive strategy to tackle the worldwide issue of obesity and its related health hazards.
A Study on Combating Illegal Trade in Green Sea Turtles based on a Multi-Model Strategy
Authors: Wu Qincheng , Li Fanglu , Zhou Yubo
Published: June 2024

This study addresses the long-standing and increasingly complex issue of global illegal wildlife trade, proposing a system solution aimed at monitoring and combating this trade, with a special emphasis on the protection of green sea turtles. The ARIMA Predict Model was utilized to demonstrate that increased enforcement efforts and higher operational expenses are significantly associated with reduced volumes of illegal wildlife trade. An illegal trade risk model was developed, employing SLSQP to enhance accuracy, constrained by budget allocation, maximum RFID reader capacity, and device failure rates. Furthermore, the Sea Turtle Movement Model was crafted by examining seasonal behaviors, agent-based movement patterns, temperature preferences, stochastic elements, and simulation time steps, enabling the delineation of migratory paths of sea turtles across different seasons. Ant Colony Optimization (ACO) was applied to optimize patrol routes. The findings underscored the necessity for additional governmental support, encompassing legal authorization, environmental access, international collaboration, and financial backing. The project’s effectiveness was assessed using the Risk Reduction Coefficient Model and Monte Carlo simulations, which significantly reduced illegal trade by 34.43%, with projections indicating continued declines over the subsequent five years.
The Conflict Between the Manila Galleon Trade and the Mercantilism Policy of Spain
Authors: Liu Chengjun
Published: June 2024

The purpose of this article is to delve into the rise and development of the Manila galleon trade between the 16th and 19th centuries and to focus on the deeper reasons for the limitations of Spanish control over this important trade route. The Manila galleon trade not only connected Manila in the Philippines with Acapulco, Mexico but also established economic ties between China and Spanish America, which used Manila as a transit point. In the entire trade, Spain, as a nominal trade monopolist, appears to be unable to effectively control this trade. Research suggests that this is mainly attributed to Spain's directional errors in implementing mercantilist policies in its colonies, which contradicted the principles of free trade that had developed in Manila's sailing trade during the first thirty years. Under the guidance of mercantilism, Spain excessively pursued gold and silver wealth while neglecting the overall development of the colonial economy, resulting in a serious mismatch between domestic and colonial production and actual demand. This policy orientation not only limited the growth potential of colonial economies but also weakened Spain's competitive position in global trade.
The Muqarnas Ceiling of the Cappella Palatina: Cultural Fluidity and Construction of the Royal Identity
Authors: Gan Zoe
Published: June 2024

The muqarnas ceiling of the Cappella Palatina was constructed in 1140 and is painted with themes ranging from court life to animals, mythical creatures to magnificent gardens. The ceiling is a testament to Roger II’s ambition for power, legitimacy, and multicultural harmony under Norman rule. Many scholars have tried to pinpoint the provenance of the ceiling as purely of Fatimid origin. However, upon inspection of the interconnectivity of the 12th-century Mediterranean and the incorporation of various Fatimid, Byzantine, North Syrian, and North African visual models, such a claim warrants scrutiny. This essay will consider how the subject matter, style, materials, and structure of the muqarnas ceiling function to form a new Norman language that addresses all the people of the Mediterranean. By synthesizing the iconography and style of different cultures, Roger uses material culture to symbolize his universalistic ambitions and elevates himself as an equal to other contemporary powers. The fluidity in the Norman visual language is also demonstrated.
Synthesis Of Nano-Porous Strontium Titanate Materials for Photocatalysis
Authors: Pei Yuzhe
Published: June 2024

Strontium titanate semiconductor materials have been widely used in the field of photocatalysis due to their high dielectric constant and band gap. Uniform, micron-sized SrTiO3 particles didn’t tend to aggregate, and the low surface area of larger particles could be improved by incorporating porous structures, thus offering superior performance for a range of applications. In this study, six mainly methods to prepare nano-porous SrTiO3 particles were showed and discussed. The methods include hydrothermal method，sol gel method, chemical co-precipitation method, high temperature solid phase method, hard template method and soft template method. These processes and their advantages and disadvantages were analysised.
Analysis of the WeWork Bankruptcy Case
Authors: Wu Yihan
Published: June 2024

This paper use case analysis and strategy analysis methods for the bankruptcy of Softbank for more than $13 billion US dollars in 2018, and in 2022 to analyze the acquisition process of WeWork acquisition, the impact of WeWork bankruptcy, and Softbank's countermeasures. The analysis of this paper shows that the business pre-bankruptcy status and key factors are the key to the WeWork bankruptcy, and the post-bankruptcy impact also needs to consider the association with the acquisition. Finally, the measures taken by WeWork for the company's bankruptcy restructuring were discussed, as well as the challenges and opportunities faced by Softbank after WeWork's bankruptcy. On the one hand, the slowdown in global economic growth and increased uncertainty have brought enormous pressure to Softbank. On the other hand, with the continuous advancement of technological innovation, Softbank Group can achieve sustained growth by investing in emerging industries. This paper provides theoretical and practical references for theoretical research and practice in related fields. This paper reminds investors to understand the company's financial situation and business model during the domestic acquisition process. Attention should also be paid to the risk management after the acquisition.
Application Of Markowitz and Index Models to Real Markets
Authors: Li Mengyang
Published: June 2024

After Markowitz put forward the portfolio theory in the 1950s, the modern investment theory was developed, and more related theoretical models were created based on it. To find the optimal portfolio in the market, this paper randomly selects 7 stock types, uses three different constraint methods to show the investment characteristics of different group of investors, and uses Index model and Markowitz model to find efficient frontier and the proportion of asset allocation under the condition of maximum Sharpe ratio and minimum variance. The results show that to achieve the maximum Sharpe ratio and find the best combination, it is necessary to purchase AAPL primarily. Secondly, it chooses to purchase assets with less correlation and relatively large return rate, such as MSFT and WMT. The results in this paper shed lights for investor in selecting potential assets and may provide helpful insight for future investments.
A Cheap and Portable Solution for The Removal of Microplastics from Natural Waters
Authors: Mosely Philip Nelson
Published: June 2024

The exponential increase in plastic production has led to a significant environmental challenge due to the pervasive presence of microplastics (MPs) in aquatic ecosystems. These MPs, defined as plastic particles smaller than 5mm, have been identified as a major pollutant, ingested by a wide range of aquatic organisms and contaminating the food chain. This paper reviews the current strategies and mechanisms for the removal of MPs from freshwater and saltwater environments, highlighting the limitations of existing methods and the need for innovative solutions. A novel approach using an eco-friendly Cu/Co LDHs-based superhydrophobic sponge is proposed, offering a practical, cost-effective, and efficient method for MPs removal without the need for external energy sources or complex machinery. The study also emphasizes the importance of advanced treatment methods in wastewater treatment plants (WWTPs) to enhance the removal of smaller MP particles and suggests a multifaceted approach involving stringent source control measures and household treatments. Through comprehensive analysis and evaluation of various MPs removal techniques, this paper aims to contribute to the development of sustainable solutions to mitigate the impact of microplastic pollution on aquatic ecosystems and human health.
From Tradition to Innovation Brand Communication: A Model of Success in Purposeful Branding-Heaven Gaia
Authors: Chen Yidan
Published: June 2024

This paper delves into the rise of purposeful branding in the context of China's evolving economy and global market demand for Chinese cultural elements in clothing design. Uses Heaven Gaia as a successful case study, highlighting its commitment to Chinese design and cultural heritage. The concept of brand purpose is explored, distinguishing it from marketing goals, and emphasizing its role in building brand awareness, storytelling, and long-term brand image. The paper discusses the importance of marketing strategies in creating short-term buzz and brand recognition, while brand purpose focuses on sustainable growth and consumer trust. Furthermore, also examines the challenges and opportunities for purposeful brands in today's culture, emphasizing the need for brands to adapt to changing market dynamics and consumer preferences. The collaboration between Heaven Gaia and Florasis is cited as an example of successful brand crossovers, showcasing the potential for innovative marketing approaches.
Research on extreme weather insurance and real estate decision model based on AHP-EWM-CVM and K-Means clustering technology
Authors: Han Aojing , Lin Hongwei
Published: June 2024

Aiming at the challenge of extreme weather to insurance industries and real estate industries, this paper constructs an insurance model and a real estate decision model. The insurance model uses analytic hierarchy Process (AHP), entropy weight method (EWM), coefficient of variation method (CVM) and K-Means clustering algorithm to evaluate the risk level in different regions and predict the values of risk indicators up to the year 2035, and then calculate future insurance premiums. At the same time, multiple constraints are used to determine the future risk safety interval, which provides the basis for insurance companies to make decisions. In the case application, this paper finds that China is currently medium risk region and will be a medium risk region in the future, and obtains the time point when insurance companies can underwrite policies in this region. In addition, this paper also constructs a real estate decision model, which comprehensively considers three factors: risk, development potential and risk cost, and provides decision making basis for real estate developers through GE matrix. In the case application, this paper predicts that in the next nearly ten years, China is a medium willingness and medium risk area, suggesting that real estate developers should be cautious in deciding whether to develop. This study provides decision support for insurance industries and real estate industries to deal with extreme weather, which is of theoretical and practical significance.
Analysis of the Impact of Dietary Elements on National COVID-19 Confirmation Rates
Authors: Zhuang Zidie
Published: June 2024

This work focuses on using the relationship between different diets and the confirmed infection rates of different countries to try and discover other factors that might affect the confirmation rate. Firstly, data on the percentage caloric intake of various countries and their respective COVID-19 confirmation rates were analyzed using BMA variable selections to isolate specific elements of interest. Miscellaneous, stimulants, and obesity were found to have significant correlations with confirmation rate - the first two of which referred to baby food and caffeine, specifically, and the last despite something of interest despite no correlation between it and other food types. Baby food was found to be positively correlated with the percentage child population of a country, and both were found to be associated with lower confirmation rates; as such, baby food is unlikely to be an originating factor. Caffeine consumption may be a factor as it is associated with all-cause mortality in existing literature, but with GDP as a confounding variable, more study is required. Obesity was confirmed to be related to increased COVID-19 confirmation rates, but no relation between obesity and COVID was found between those and any food group. Ultimately some country selection or a study based on a homogeneous group of individuals may be necessary to isolate confounding variables and reach a meaningful conclusion.
Research on Catalytic Reaction of Cotton Straw Pyrolysis Based on Model Compounds
Authors: Dong Qian , Hu Hantao , Du Yijian
Published: June 2024

The study starts from the clean conversion of desulfurized ash and biomass resources, based on correlation analysis and Langmuir-Hinshelwood model, studies the components of cotton stalk pyrolysis products and describes the mechanism and effects of desulfurized ash as a catalyst in the pyrolysis process. Regression analysis, support vector machine, and other methods are used to predict the yield or output of pyrolysis products, which is of great significance for the efficient utilization and sustainable development of cotton stalks. The study found that desulfurized ash significantly promoted the thermal decomposition of cotton stalks, increased the pyrolysis gas yield and lower heating value, increased the production of hydrogen-rich gas in the pyrolysis gas, and reduced the production of carbon oxides. Through the study of model compounds, it was found that desulfurized ash has different catalytic effects on the process of cellulose and lignin components in cotton stalks generating pyrolysis gas.
Team Cohesion and Student Athlete Well-Being in A Normal University in Jiangxi Province
Authors: Xu Jiali
Published: June 2024

This study aims to gain a deeper understanding of the relationship between team cohesion and WELL-BEING among college athletes. This study adopts a quantitative research design, with a sample of 627 college athletes from a regular university in Jiangxi Province, China. A survey was conducted on the basic information of student respondents in terms of gender, age, grade, and years of experience, as well as their self-evaluation of athlete well-being, including physical health, mental health, emotions, balance, socialization, achievement, recovery and rest, and support systems. The relationship between team cohesion and self-evaluation of well-being was studied by analyzing the differences in personal characteristics and self-evaluation of well-being. This study also evaluated the positive effects of team cohesion, coach behavior, and athlete well-being on physical, psychological, emotional, and social health, and recommended promoting open and transparent communication within the team, strengthening leadership, establishing conflict resolution mechanisms, cultivating common values and goals, focusing on mental health, balancing lifestyles, and promoting internal respect and team spirit through team building and support networks to increase athlete well-being and team cohesion.
Enterprise green entrepreneurship orientation: research review and outlook
Authors: Bian Zhengli
Published: June 2024

With the rapid development of economy, excessive resource consumption, environmental pollution, ecological civilization construction has become a global common theme, green development concept become the topic of attaches great importance to today's society, enterprises also realized that the enterprise development not at the expense of the environment, from the traditional economy to green economy is imperative. The academic and practical circles began to pay attention to the potential of green entrepreneurship in environmental protection, and green entrepreneurship, as the premise of green entrepreneurship, is the active strategic tendency of enterprises to deal with environmental problems, emphasizing the identification and grasp of eco-friendly opportunities, which reflects the active attitude of enterprises towards environmental issues. Although existing research has made some progress, but few systematic summary to clarify the development of green entrepreneurial orientation, based on this, this study from the connotation, dimension, driving factors and influencing factors combed the green entrepreneurship oriented research progress, and put forward the future outlook, in order to provide support for subsequent green entrepreneurship research.
A Study on Forecasting Sales of New Energy Vehicles in China Based on Time Series Analysis
Authors: Yang Xiyu
Published: June 2024

Combining the methods of multiple linear regression and time series analysis, this paper forecasts the sales trend of China's new energy electric vehicles in the next 10 years by using the data of new energy electric vehicle sales from 2013-2022, and comprehensively analyzes the impact of multiple factors, such as policy, technology, economy, market, and environment, on China's new energy electric vehicle sales. The study selected 16 secondary indicators including government subsidies, vehicle sales, number of charging piles, GDP per capita, consumer satisfaction, carbon emissions, etc. for data analysis, highlighting the key role of technological factors in the development of the industry. The study concludes that China's new energy electric vehicle industry is expected to usher in a period of sustained growth as technology continues to advance and the market matures.
A Review of Empirical Capital Structure Research in Different Industries
Authors: Zhang Ruqiong
Published: June 2024

The choice of capital structure is an important aspect of a firm's financial decision-making, and the differences between industries make it challenging for firms to develop a capital structure strategy. The right capital structure is critical to a firm's financial position, competitiveness, risk management, and strategic development. Existing capital structure theories provide different perspectives to understand the choice and impact of a firm's capital structure. However, the proposed assumptions are all ideal and irrational, differing significantly from the real capital market situation. By reviewing existing empirical research, this paper aims to analyze the variability of corporate capital structure choices under different industries and the influencing factors behind them. Based on the analysis of industry-specific factors affecting capital structure choices, industries are broadly categorized into three major groups: capital-intensive industries, labor-intensive industries, and innovative industries. Through case studies and empirical research on each industry, it explores how different industries' unique economic and operational characteristics shape enterprises' strategic choices in capital structure.
Prediction Of the Future Development of New Energy Vehicles in China Based on Grey Model and Times Series
Authors: Ge Runqi , Huang Yichai , Chen Chuhan
Published: June 2024

Energy shortages have led countries to promote the new energy vehicle industry for sustainable development goals. Establish the grey model and exponential smoothing-based time series model to predict the future development of new energy vehicles in China. And concluded that compared to 2022, imports of new energy vehicles are projected to decrease by 77% in 2032, exports and infrastructure are projected to increase by 1.5 times, the cruising capacity of new energy vehicles is projected to triple, and the new energy vehicle industry will increase its market share by 12% in China.
The Impact of Investor Expectation on the Financial Decision-Making
Authors: Zhu Ziyan
Published: June 2024

This paper delves into a fundamental analysis of two significant standards in budgetary financial matters: efficient market hypothesis and behavioral finance. The efficient market hypothesis posits that financial markets efficiently process all available information, leading market participants to make rational decisions. This theory underscores the accuracy of market predictions and the efficiency of information processing. In contrast, behavioral finance challenges the efficient markets theory by revealing various cognitive biases and irrational behaviors that influence financial decisions, casting doubt on the accuracy of market predictions and the rationality of market behavior. Through a comprehensive investigation, this article aims to compare these two hypotheses and evaluate their impact on understanding financial markets and decision-making processes. By providing insights into how market efficiency and behavioral inconsistencies coexist and influence financial practice, this article aims to contribute to the ongoing discourse in monetary economics. By delving into these contrasting theories, this paper aims to provide valuable insights into how market efficiency and behavioral factors interact and shape financial outcomes.
Sex Ratio of Seven Gill Eels Based on System Dynamics and Dynamic Generalisation Models
Authors: Zhang Yunbo , Yao Shuchen
Published: June 2024

This paper provides an in-depth study of the ecological impacts of changing sex ratios in the lampreys, an ancient species known as a living fossil, through mathematical modeling. First, a dynamic model was constructed to simulate the response of the sex ratio of the lampreys to food availability and to predict subsequent changes in predator populations within the ecosystem. The model also considered reproductive success to assess broader ecological impacts. The results suggest that changes in lampreys sex ratio can significantly affect ecosystems in many ways. However, risks such as overfishing, environmental stress and predation emerged as clear disadvantages. Further exploration through more advanced dynamic modeling confirmed the stabilizing effect of higher male ratios on the ecosystem. The study also ventured into competition modeling, revealing that lamprey populations may inadvertently favor other species, such as parasites. Taken together, the mathematical modeling in this study provides insights into the ecological role of lampreys and is intended to inform conservation efforts and optimize the ecological use of lampreys.
Design of Fiber Laser Based on Erbium-ion
Authors: Hu Yijun
Published: June 2024

Erbium ions (Er3+) exhibit good characteristics of fiber lasers in the 1500-1550 nm band, including three-level systems, high tilt efficiency, and large emission cross sections. This article focuses on studying the spectral characteristics of erbium ions, simulating the power propagation equation of erbium-doped ion fiber lasers, and calculating the pump power threshold and output power. The findings of the simulation indicate that the laser begins to produce 10 W of pump optical power. The laser power hits 34.38 W and the oblique power is determined to be 38.20% as soon as the pump power exceeds 100 W. Experimental results show that when pump light propagates forward, the forward propagation power of the pump light will weaken, the forward propagation power of the signal light will increase, the reverse propagation of the signal light will weaken and the reverse propagation of the pump light will Transmission will also weaken, with directional transmission remaining largely unchanged. This study carried out numerical simulations on the experimental parameters of the fiber laser doped with Er3+and finally obtained the output power of pump light and signal light under these conditions, providing better data support for the preparation of 1500-1550 nm fiber laser doped with erbium ion.
An Analysis of Ways to Optimize Teacher-student Relationship in Ideological and Political Wisdom Classroom Teaching in Senior High School
Authors: He Feiyan , Yuan Xuezhe
Published: June 2024

Wisdom classroom based on big data technology breaks the traditional dichotomous teacher-student relationship, and it is necessary to re-explore the teacher-student relationship in the context of wisdom classroom. In view of the current teacher-student relationship problems in smart classroom teaching at the data, technology and virtual levels, the whole process and scene teaching combining in-class and extra-class, online and offline, virtual and reality are constructed from the three levels of intermediary symbols, interactive ways and knowledge concepts of teachers and students, and the relationship between teachers and students in smart classroom teaching is reconstructed through data empowering. In order to promote the high school ideological and political teaching practice into a democratic cooperation, spiritual communication behavior, and effectively improve the effectiveness of high school ideological and political teaching.
Research on the Application of Recognition and Detection Technology in Automatic Driving
Authors: He Wanli , Liu Zhengzhe , Wang Shunquan
Published: June 2024

Object detection is the cornerstone of autonomous driving systems. In autonomous driving systems, vehicle detection is critical to maintaining traffic flow and avoiding collisions. The use of deep learning technology enables the system to skillfully and accurately identify vehicles on the road. Deep learning algorithms can provide autonomous vehicles with precise environmental awareness to enable informed driving decisions. Deep learning algorithms can achieve pedestrian detection. Such algorithms can improve the safety of vehicle operations. Through deep learning models, the system is able to identify and track pedestrians, ensuring appropriate responses in different traffic scenarios. The application of detection technology enables vehicles to promptly identify and interpret road signs and traffic lights in real-time. This recognition ability helps to comprehensively understand traffic conditions and improve the ability to adapt to different road conditions. This study provides an in-depth exploration of the importance and application of deep learning technology in the field of autonomous driving. Special attention is paid to the key role played by object detection methods. and propose future development directions. Deep learning algorithms can expand the application of learning technology to handle real-time traffic conditions and achieve rapid response. Achieve the fusion of multiple sensory information by improving the local processing capabilities of edge computing. This research aims to further improve the level of intelligence inherent in autonomous driving systems.
A study of sex ratio in lampreys based on Lotka-Volterra modelsour Paper's Title Starts Here: Please Center
Authors: Yu Xinhong , Kang Hongyun
Published: June 2024

To elucidate the interactions between changes in adaptive sex ratios of lampreys and ecosystems, we conducted the following studies; first, we used linear regression to fit the relationship between food availability and sex ratios. Based on vortex modeling and biological knowledge, we simulated three scenarios: natural disasters, species invasions, and data from similar species in normal ecosystems. This led to the modeling of lamprey population growth. To further investigate the effect of sex ratio changes on ecosystem stability, we built an n-dimensional Lotka-Volterra model. Combining the relationship between food supply and sex ratio, we identified the mechanisms by which sex ratio affects ecosystem stability.
Ecological Security Assessment of Main Grain-producing Areas in China
Authors: Cao Shihao
Published: June 2024

The stability of grain output in main grain-producing areas has a decisive impact on China's grain security, and the ecological security of main grain-producing areas plays a decisive role in ensuring the sustainable growth of grain output. Based on the PSR model, the ecological security evaluation system is constructed, the principal component analysis method is used to evaluate the ecological security of the main grain-producing areas from 2015 to 2020, and the cluster analysis is used to classify the evaluation results. The research shows that from 2015 to 2020, the ecological security in the main grain-producing areas is generally stable, but still at a low level; Sichuan, Jiangxi, and Heilongjiang have higher ecological security levels, while Shandong, Jiangsu, and Hebei have lower ecological security levels.