bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploration of Sustainable Agro-Pastoral Integration Development Models in the Qinghai-Tibet Plateau
Authors: Zhou Hegege , Ma Jinning , Zhong Yehan , Huang Pan , Piao Yikun
Published: June 2024

The high-altitude geographical characteristics and unique climate types of the Qinghai-Tibet Plateau have dictated an agricultural and pastoral development path for the region, which, after a series of evolutionary developments, has culminated in the current model of agro-pastoral integration. However, the economic and ecological benefits brought by the development of agriculture and animal husbandry are accompanied by serious issues such as land degradation and overgrazing, making the exploration and practice of sustainable agro-pastoral integration models for the Qinghai-Tibet Plateau an urgent task. This article utilizes CiteSpace to review recent literature on agro-pastoral development models in the Qinghai-Tibet Plateau. Starting from the agro-pastoral processes, spatial layout, and economic development of the Qinghai-Tibet Plateau, this paper aims to provide a macroscopic understanding of the agro-pastoral integration model, propose new strategies and ideas for development, and offer scientific theoretical and practical guidance for sustainable development, achieving a win-win situation for economic growth and ecological protection.
Structural Design and Strategy Optimization of PEMFC in Thermal Management
Authors: Zhou Tao , Ma Ziqi , Gao Jiaxing
Published: June 2024

Due to growing energy and environmental issues, clean energy technology has gained recognition around the world. Because of its great energy transfer efficiency, outstanding power density, low operational temperatures, and environmental protection, PEMFC has been employed extensively in a variety of fields. But the thermal management of PEMFC has been a great challenge limiting its commercialization. Ineffective heat management strategies can shorten the fuel cell battery's lifespan in addition to affecting its performance. Therefore, this study provides an overview of how fuel cell bipolar plate structure and thermal management techniques have improved fuel cell performance. The results show that the tree-shaped fractal fuel cell bipolar plate, novel tapered dual serpentine channel and so on can enhance the heat dissipation effect of the bipolar plate and the temperature uniformity of the MEA, and form a uniform temperature distribution and pressure. Process strategies such as the new thermal management system with a thermal peak regulator can efficiently regulate the peak temperature and the average temperature of the fuel cell system to improve its starting performance. Most importantly, this research can help to alleviate the energy tension and reduce the environmental pressure.
Gender and Culture in Popular Music
Authors: Wang Jingbo
Published: June 2024

Pop music is a global cultural phenomenon, not only as an art form, but also as a socio-cultural phenomenon. In popular music, gender and culture are two important themes that are intertwined and together constitute the cultural background and artistic value of popular music. This article will provide an in-depth analysis and discussion of pop music from the perspective of gender and culture.
Impact of Occupational Burnout on the Professional Identity and Self-efficacy of Physical Education Teachers
Authors: Liu Zeyan
Published: June 2024

Occupational burnout is a hot research topic in the field of education.This study targets physical education teachers, surveying 226 physical education teachers from 10 universities in Guangxi Province, China, to assess levels of occupational burnout, professional identity, and self-efficacy, drawing the following conclusions:(1) The overall level of occupational burnout among physical education teachers is "Evident", with dimension indicators ranked from highest to lowest as follows: Personal Accomplishment, Emotional Exhaustion, and Deindividualization. This indicates that occupational burnout is a significant and concerning issue among respondents, with emotional fatigue and moderate personal achievement being the main factors.(2) The analysis of the respondents' demographic characteristics indicates that there are significant differences in occupational burnout among physical education teachers of different professional titles.(3) The overall level of professional identity among physical education teachers is "Evident", with dimension indicators ranked from highest to lowest as follows: Norm identity, Continuous identity, and Emotional identity. This indicates that their professional roles significantly influence their self-perception and identity.(4) The analysis of the respondents' demographic characteristics indicates significant differences in professional identity among physical education teachers of different Ages, Educational backgrounds, Teaching experiences, Professional titles, and Marital statuses.(5) The overall level of self-efficacy among physical education teachers is "Evident", with dimension indicators ranked from highest to lowest as follows: Personal efficacy, Teaching efficacy. This indicates that respondents generally have a high level of self-efficacy, showing confidence in their personal and professional abilities.(6) The analysis of the respondents' demographic characteristics indicates significant differences in self-efficacy among physical education teachers of different Ages, Educational backgrounds, and Teaching experiences.(7) There is a significant positive correlation between the overall occupational burnout of physical education teachers and both personal efficacy and overall self-efficacy, indicating that higher levels of burnout are correlated with higher levels of self-efficacy in these dimensions.(8) There is a positive correlation between the overall occupational burnout of physical education teachers and all dimensions of professional identity, indicating that higher levels of burnout are associated with stronger professional identity in these areas.
Research on Vegetable Replenishment and Pricing Based on Cost-Plus Pricing Method and ARIMA Model
Authors: Han Xuanying , Zhang Ranran , Li Ziheng
Published: June 2024

Replenishment and pricing of vegetables are the focus of commercial supermarkets. Accurately predicting the future vegetable demand and pricing of commercial supermarkets is of great significance for commercial supermarkets to increase revenue. To make accurate predictions and maximize profits, this paper predicts the mean and variance of the demand and pricing of various vegetable categories in the future based on the cost-plus pricing method and the ARIMA time series model, and obtains the best demand and pricing for the next seven days. The results show that the model has passed the residual independent test and normal test, and R2 is greater than 0.7, which has a good fitting effect. The model is suitable for the prediction of vegetable replenishment and pricing, and can provide a reference for vegetable management in supermarkets.
Analysis of the Limit Resolution of Grating Spectrometer
Authors: Wang Jiajun , Zheng Zhao
Published: June 2024

As a matter of fact, grating spectrometer has been widely used in various applications in recent years on account of its simple structure and high accuracy. On this basis, this study introduces the research history and development status of grating spectrometer in the last hundred years. To optimize the resolution of the grating spectrometer, the design of the instrument, the selection of optical elements, the stability of the light source and the performance of the detector should be considered comprehensively. The limit resolution in the visible range is affected by the number of lines of the grating and the quality of the optical element. In the UV range its resolution depends on the grating parameters and instrument design. The limiting resolution in the infrared range is limited by the wavelength range and the quality of the optical element. In addition, this research also involves the realization and progress of some related advanced technologies. Some hypotheses for improving the resolution of the grating spectrometer are also presented and proposed.
Analysis of the Impact of Foreign Restriction Policies on the Development of New Energy Vehicles in China Based on DID Algorithm
Authors: Zhang Yakun
Published: June 2024

The world is facing an energy and environmental crisis, and is therefore actively promoting energy conservation, emission reduction and green development, and new energy vehicles have thus become the focus of attention. These vehicles, which use electricity instead of oil, are crucial to achieving carbon neutrality and have gained global consensus. In recent years, new energy vehicles have led the transformation of the global automotive industry and contributed to the sustained growth of the world economy. China has achieved leapfrog development in this field, leading the world in terms of industry scale and technology, and its complete industrial chain has enhanced its leading position in the global transformation of automotive electrification. However, despite the fact that China's new energy vehicle industry chain is the most complete and has competitive advantages, it still faces challenges in exporting, such as high tariffs and restrictions in the US and Europe. In order to explore the impact of these boycott policies on China's new energy vehicle industry, this study constructs a double-difference model (DID) to analyze the impact of these policies with tariff rates of each country as the control variable, which is expected to provide valuable reference for China's new energy vehicle export strategy.
Exploring the Mediating Effect of Self-Efficacy on the Relationship Between Cultural Intelligence and Life Satisfaction: A Study of Chinese Students in South Korea
Authors: Yang Shuai , Zhao Zhengyue , Xie Tongwei , Wang Huayi
Published: June 2024

With the acceleration of globalization, an increasing number of Chinese students are choosing to study in South Korea. However, cross-cultural adaptation poses a significant challenge for these students. In this context, cultural intelligence (CQ), the ability of individuals to adapt to diverse cultural environments, becomes particularly important. While existing research indicates that CQ plays a crucial role in cross-cultural interactions, its impact on life satisfaction and the underlying mechanisms remain underexplored. This study conducted a stratified sampling online survey targeting Chinese students in various regions of South Korea. The survey regions were geographically categorized as follows: the northern region, including Seoul and Gyeonggi-do; the central region, including Daegu and Gyeongbuk; and the eastern region, including Busan. This categorization encompassed a total of five cities, aiming to ensure the representativeness and diversity of the sample. Ultimately, 392 valid responses were obtained, and data processing and hypothesis testing were performed using SPSS 25.0. The research results indicate that CQ significantly and positively predicts life satisfaction among Chinese students in South Korea. Moreover, self-efficacy partially mediates the relationship between CQ and life satisfaction, with CQ enhancing life satisfaction by boosting self-efficacy. These findings not only enrich the theoretical foundation of cross-cultural adaptation but also deepen our understanding of the adaptation processes and related psychological mechanisms of Chinese students in South Korea. They provide a new perspective for improving the life satisfaction of Chinese students studying in South Korea.
An Analysis About the International Debt of Developing Countries: A Case Study About China, India and Ukraine
Authors: Li Qiyuan
Published: June 2024

In recent five years, debt crisis has been a focus issue which the default of US debt has led to an overwhelming situation for many countries especially for developing countries. Additionally, subsequent effects of Covid-19 are still insisted that global economic still at a trough since the virus started to spread. There are many factors contributed to the trend of change in debt by country. Base on the dataset produced by world bank named international debt statistics last 5 years, using the method of quantitative analysis on analyzing China, India and Ukraine to find the factors that influence debt change in different countries. According to this study, it has found out that US debt crisis and the depreciation of US$ could be the main reason why the debt scale were decreased in final two years. However, Covid-19 is the cause which debt continue to increase. Government structure is also a factor affect the change in debt.
Coaching Behavior and Student-Athlete Performance in a Women’s Universty in China
Authors: Li Zhaoqing
Published: June 2024

Coaching in the realm of sports has transcended its traditional boundaries, evolving into a multifaceted discipline that encompasses much more than simply teaching technical skills or devising winning strategies. Coaches are now recognized as pivotal figures who wield immense influence over the development, motivation, and performance of student-athletes.This study determined the relationship between coaching styles and student-athlete performance with the end view of developing a comprehensive guide for a team-building program for both the coaches and athletes.The researcher used the descriptive-comparative correlational research design,The researcher will only select the athletes who are actively involve in the sports program of the university and who are bonafide athlete of Hunan Women’s University during the conduct of the study. The researcher made use of the researcher-made questionnaire which was the main tool to gather the data in this research.Statistical Treatment of the Data includes Frequency Count and Percentage,Weighted Mean,t-test/Analysis of Variance (F-Test),Pearson’s r.The analysis of athlete respondents' perceptions reveals a high level of satisfaction and positive perception regarding their relationship with the coach.The self-assessment of student athlete respondents demonstrates a noteworthy trend of consistent and high levels of self-assurance and confidence across various dimensions of their athletic performance.There is strong positive correlations observed between coach behavior and athlete self-assessment and it underscores the importance of supportive, communicative, and motivating coaching approaches in enhancing athlete performance and well-being. Based on these findings, the study proposes six measures such as prioritizing sports programs and strengthening injury prevention programs.
Statistical Approaches to Machine Learning in a Big Data Environment
Authors: Liu Zhuoyong
Published: June 2024

This thesis explores statistical approaches to machine learning in a big data environment. Firstly, the connections and differences between machine learning and statistics in a big data environment are introduced, as well as the statistical foundations in machine learning models. Secondly, the application of statistical methods in big data analysis is discussed, including the combination of traditional data analysis and machine learning. Then, the challenges and limitations of statistical methods in the big data environment, such as high dimensionality and huge amount of data, are discussed. Then, common statistical methods in the big data environment, including linear regression, decision trees, and support vector machines, are described in detail. Finally, the research findings are summarised and future directions and research trends are outlined. Through the research in this paper, a deeper understanding of statistical methods for machine learning in big data environment is provided, which provides an important reference for big data analysis and application.
Analysis on Tesla's Marketing Strategy
Authors: Zhou Zirong
Published: June 2024

With the seriousness of energy consumption and environmental pollution as well as the world's attention to environmental protection, the global attention to new energy vehicles is getting higher and higher. This article aims to analyze Tesla's three marketing strategies (direct sales strategy, building charging network, and word-of-mouth marketing) to analyze its competitive advantages and defects in the market through SWOT analysis, PEST analysis and qualitative research. The study found that Tesla has been effective in all three of these marketing approaches, but that certain changes and enhancements need to be made as the market evolves. And this thesis also gives some suggestions for improvement on the basis and background of this research to help Tesla better generate profits and increase customer satisfaction and loyalty. Overall, Tesla has been very successful and effective in its marketing strategy and will have room to improve even better after going through the improvement process.
Optimization of Production Line Balance Based on The IE Method
Authors: Zhang Xue
Published: June 2024

As a part of the manufacturing industry, automotive parts manufacturing enterprises optimize their production line is of great significance to reduce production costs and improve the production efficiency of enterprises [1]. In this paper, we take the condenser production line of WF company as the research object, and we found that the production line has problems of low productivity and imbalance of the production line through investigation. We improve the balance of the production line based on the IE method, and finally help WF company to improve the production capacity and product quality, so that the balance rate of the condenser production line reaches a good level, and at the same time, it also provides a practical case of production line optimization for the whole manufacturing industry.
Exploration on the Development of Photovoltaic Power Generation Path in China Based on the Goal of “Double Carbon”
Authors: Zhang Yan , Wang Liyuan , Jing Siying , Wang Baike
Published: June 2024

Electric energy is an economic, practical, clean, and easy to control and transform the form of energy, power industry in the national economy occupies a very important position. This paper focuses on the prediction of the development trend of power supply, analyzes the current situation of domestic power supply by selecting relevant indicators, predicts the development trend of power supply in 2024-2060, and discusses the main influencing factors of its development. At the same time, a dynamic programming model is established, particle swarm optimization is used to initially explore the maximum value of China's total photovoltaic power generation and the impact of related economic and policy factors on the total power generation, and the relevant conclusions are given.
Research on the Construction of Intelligent Library Micro-services System
Authors: Wang Fang
Published: June 2024

With the advancement of the construction of smart libraries in China, grasping the new opportunities of scientific and technological revolution, providing micro-services based on their own resources to meet users' knowledge and information needs has become an important way for libraries to improve their own resource utilization, realize service upgrading and show their own value. Among many cutting-edge technologies, small programs based on micro-services have won the favor of the construction of smart library micro-services because of their characteristics of no download and instant search. However, at present, there are still many problems in smart library micro-services, such as lack of innovation in service content, single application of small program and lack of perfect service system. Therefore, it is necessary and urgent to deeply explore and study smart library micro-services.
Research on Energy Performance Contracting mode of demand-side reactive power compensation
Authors: Xiao Shen , Sun Zhicheng , Rao Yao , Cui Jianyong , Zhang Ran , Guo Wei , Liu Zheng
Published: June 2024

Demand-side reactive power compensation achieves the purpose of saving energy and protecting the environment by improving the efficiency of electricity consumption and optimizing the way of electricity consumption, reducing electricity consumption and power demand while completing the same power consumption function. However, some users are facing the problems of insufficient funds and immature technical means, and cannot independently carry out demand-side reactive compensation. This paper proposes the demand-side reactive power compensation Energy Performance Contracting model, describes in detail the participants and operation modes in this mode, and uses Shapley value theory to distribute the benefits between the energy-saving service company and the user, and obtains the preliminary revenue distribution scheme. Three factors, namely the proportion of input, risk sharing and negotiating position, were adopted to revise it, and revised again in combination with the degree of implementation contribution to make the distribution of benefits more scientific and reasonable.
Navigating the New Age: Exploring Operations and Modern Business Models in Film and Television Production
Authors: Zeng Wenbai , Zeng Wenbai
Published: June 2024

This article explores the dynamic film and television industry’s operational system and diverse business models. The industry has adapted its strategies in response to globalization, technological advancements, and changing consumer behaviors. The operational system encompasses stages from development to exhibition, ensuring creative ideas translate into compelling content. Business models include the product-oriented, market-oriented, and Business Model 2.0. The digital revolution has ushered in the Long Tail, DIY, and 360-degree models, reshaping distribution and engagement. Applying field theory, the article examines the industry as a structured field where actors vie for different capitals. This multidimensional analysis deepens our understanding of how these models drive the industry’s evolution. The article discusses how the relationship between creating content and making money has become more complex due to the growth of streaming platforms and online distribution. This has led to a need for new ways to make money from content, such as subscription services, ads, and pay-per-view. The industry is focused on finding ways to make consistent profits.
The Artistic Expression of Character Shaping and Dramatic Costume Design
Authors: Han Jingjing , Hushinaidi Bin Hamid
Published: June 2024

Character shaping and theatrical costume design complement each other in theatrical performance. Character shaping requires consideration of the character's background, personality traits, and goals, and showcases the character's characteristics through techniques such as dialogue, body language, and psychological description. Dramatic costume design should reflect the personality of the characters, conform to the theatrical style and historical background, and reflect the development of the characters in the plot. By selecting appropriate materials, colors, and designing clothing styles, as well as cleverly matching accessories, theatrical costumes can enhance the effect of character shaping. The interaction between characters and clothing is reflected in clothing strengthening character characteristics, assisting in expressing character emotions, and creating a suitable plot atmosphere. By integrating character shaping with theatrical costume design, the connotation of characters can be better interpreted, and the overall expressive power of drama can be enhanced.
Health Literacy and Physical Fitness Status among Young Adult Urban Residents of Yueyang City under the Background of Healthy China
Authors: Xia Wei , LORNA A. ESPESO
Published: June 2024

With the background of Healthy China strategy, this paper aims to investigate the health literacy status of urban residents in Yueyang City and its influencing factors under the background of Healthy China strategy, analyze the influencing factors, and put forward corresponding suggestions to promote the further improvement of health literacy status and health level of residents in Yueyang City, and lay a certain foundation for the realization of healthy China strategy.By sending out an online questionnaire, the paper investigated 450 urban residents aged 18-45 years old in 9 districts and counties of Yueyang City, conducted a survey on their occupation, educational background, marriage, monthly income and BMI index, and conducted a survey on 7 dimensions including national fitness action, eating habits, tobacco control action and the health of the elderly, reaching the following conclusions:When it comes to their level of awareness to the different initiatives of the government , it can be shown that they are very much aware of the policy on smoking inside campuses . This can be attribute to the fact that they are young adults and most of them just finished their college lives.Their level of awareness to the care for mothers and children are manifestation of being young parents . They are aware also ablout the national campaign of the government on fitness and wellness which clould inspire them to maintain a strong and healthy body.Their level of literacy on health promotion for the elderly as well as their safety and protection on their work places needs improvement because it will affect their level of effectiveness and productivity in their workplaces.
Research on the Application of Blockchain Technology and Smart Contracts in the Financial Industry
Authors: Wang Xiangzhen
Published: June 2024

This article deeply explores the applications and impacts of blockchain technology and smart contracts in the financial industry. First, it outlines the basic principles and characteristics of blockchain technology and smart contracts, and then analyzes their application examples in various financial fields such as cross-border payments, supply chain finance, equity financing and securities issuance, and the insurance industry. The study found that blockchain technology and smart contracts bring significant changes and opportunities to the financial industry by improving transparency, reducing transaction costs, and enhancing security. However, the application of these technologies also faces challenges such as technological maturity, legal and regulatory perfection, and data privacy protection. This article aims to provide valuable references for practitioners, researchers, and policy makers in the financial industry to promote the widespread application and healthy development of blockchain technology and smart contracts in the financial industry.
Paddle design based on continuous low-temperature vacuum drying system in fishmeal production
Authors: Wu Shu , Gong Yaping , Wang Shuaijun , Zhang Yanxin , Shi Quan , Zhang Di , Chen Hui
Published: June 2024

With the rapid development of aquaculture, fishmeal is gradually processed into high-quality aquafeed, and there is a great demand for fishmeal in China. In order to solve the problems in the traditional processing process, the process research, focusing on the fishmeal processing process of the most critical link - drying paddle research. This paper mainly focuses on the continuous low-temperature vacuum drying equipment research, on the basis of the existing process to improve the design of the paddle structure. Compared with the current process, the fishmeal produced by continuous low-temperature vacuum dryer, under the same raw materials and the same time conditions, the transport capacity of the dryer per unit of time and the drying area of the paddle have been effectively improved.
Research on Momentum Analysis of Tennis Match Based on Machine Learning
Authors: Hao Yijie , Chang Jiachen
Published: June 2024

This study aims to quantify momentum changes in tennis matches by building a machine learning model and investigate their impact on match outcomes. Firstly, a momentum model is established to quantify the momentum value of players by defining basic points, break points, guaranteed points and continuous points. Then, the momentum curve of players is calculated using real match data, and its high match with the match trend is verified. Then, the correlation between momentum value and match result is tested by statistical test method. The results show that there is a significant correlation between momentum value and match victory. Further, the displacement test verifies that the change of momentum value is not random, but reflects the actual trend of the game. This study proves that momentum plays an important role in tennis matches, and its change has a significant impact on match results, which provides an important reference for further research and application of momentum.
Risk Assessment and Insurance Underwriting Decision Model: A Case Study of Gansu Province and Florida
Authors: Zhu Lieyao , Zhu Yunshu , Ma Hechen
Published: June 2024

Extreme weather is driving up economic losses and insurance costs, underscoring the urgency for enhanced disaster risk management and policy reform for sustainability. This study presents a novel Risk Assessment Model for analyzing insurance underwriting risk in specific regions, driven by the increasing economic losses and insurance costs due to extreme weather. The model integrates a comprehensive evaluation system with four primary and twelve secondary indices, applying the Entropy Weighting Method (EWH) and Analytic Hierarchy Process (AHP) to allocate weights and quantify risk (Q_unfavourable) effectively. It also adopts the As Low as Reasonably Practicable (ALARP) principle for setting underwriting decision thresholds, based on risk and profitability. Case studies from Gansu Province, China, and Florida, USA, validate the model's practicality and its potential to enhance insurers' underwriting strategies and policy decisions across varied regions, marking a significant improvement in underwriting risk management and strategic insurance policy formulation.
Assessing the Impact of the COVID-19 Pandemic on the Risk-Return Profile of the U.S. Aviation Sector
Authors: Zhao Tianhao
Published: June 2024

The COVID-19 pandemic precipitated unparalleled disruptions in the aviation sector, prompting a critical evaluation of the risk-return dynamics within the industry. This investigation focuses on the stock performance of seven prominent U.S. aviation entities, encompassing both manufacturers and airline operators. Employing the Capital Asset Pricing Model (CAPM), the study juxtaposes pre- and post-pandemic financial data to discern the pandemic's fiscal ramifications. The results unearth a dichotomous impact: while manufacturers with defense contracts like Lockheed Martin exhibited stability, commercial airlines such as American Airlines grappled with significant setbacks due to decreased travel. The analysis yields insights into the industry's differential responses to the crisis and highlights the necessity for adaptable strategies in mitigating economic volatilities. This research not only sheds light on the pandemic's immediate effects but also underscores the enduring need for resilience in aviation finance.
The Relationship between the Music and Tiktok Marketing
Authors: Bai Biying
Published: June 2024

Social media platforms develop rapidly during the decade and so are short video platforms. In addition, background music is an indispensable part of the video. Many musicians have taken advantage of this emerging platform and plan to promote their new works on short video platforms. In this article, through statistical analysis of data, I have learned how to help musicians to promote their songs on social platforms under this era background.
Study on Influencing Factors of Rural Digital Cultural Industry from Principal Component Analysis
Authors: Liang Ruicheng
Published: June 2024

The rural digital cultural industry plays a vital role in the rural revitalization and industrial development of Qiqihar City. In this study, I propose an analysis model for the influencing factors of the rural digital cultural industry in Qiqihar City based on principal component analysis. Firstly, I select preliminary indicators of the influencing factors of the rural digital cultural industry in Qiqihar City from many potential factors, which are further screened by Pearson correlation coefficient. Then, I construct an indicator system for the influencing factors of the rural digital cultural industry in Qiqihar City by using principal component analysis and identified 16 key factors including the gross output value of the primary industry, rural retail sales of consumer goods, total fiscal expenditure of the city, total power of agricultural machinery, gross output value of the tertiary industry, per capita net income of rural residents, local financial expenditure, broadband access ports of the internet, population with a college diploma, government agricultural financial expenditure, fixed asset investment in agriculture, forestry, animal husbandry, and fishery, the number of telephone-accessible villages in the city, number of people with undergraduate education or above, area of machine-planted crops, Engel coefficient of rural residents' household expenditure, and population with a high school education or above.
Research on the Application of Computer Big Data Artificial Intelligence Technology in Financial Institutions' Digital Sensitivity Analysis Economic Risk Model
Authors: Ma Yingkai
Published: June 2024

This paper uses a risk factor model to construct a joint distribution of returns on major risk exposures of financial institutions. This paper also examines the sensitivity of the overall risk of the study to changes in the financial business portfolio and changes in risk correlations. The author mainly introduces VaR, ES and ARMA, the quantitative risk analysis methods widely recognized by the financial industry recently. A measure of the overall risk of a financial institution in terms of returns. At the same time, the sensitivity of different risk measurement tools to changes in financial business portfolio and changes in risk correlation.
Road Construction in Ethnic Areas from the Perspective of Rural Revitalization
Authors: Ji Yan , He Jiaqian
Published: June 2024

In 2020, China has achieved the final victory in Final Victory in the Fight Against Extreme Poverty, and rural revitalization and targeted poverty reduction have gradually become the center of attention of the whole society. As an infrastructure, rural roads are the most basic guarantee for rural revitalization and the artery of development in rural areas. Jinyang County, Liangshan Yi Autonomous Prefecture, is one of the poorest counties in China. Since Jinyang is located in the mountainous region in the west of Sichuan Province, where the villages show the characteristics of scattered distribution and small scale. Meanwhile, public services and travel in the mountainous village areas can only be based on mountain roads, which brings great inconvenience to people's life and hinders the development of rural revitalization in Jinyang. Therefore, this paper analyzes the current situation and problems of mountain road transportation construction in Jinyang County and proposes targeted measures and suggestions. Taking roads as an entry point, this paper explores the important role of mountain road construction in promoting ethnic areas in order to reveal the close correlation existing between modern roads and social changes of ethnic minorities.
Application Analysis of Graphic Design Elements in the Teaching of Environmental Art Specialty
Authors: Wu Jiang
Published: June 2024

This paper aims to analyze the application of graphic design elements in the teaching of environmental art major. Firstly, by reviewing the definition and development of graphic design, the basic concept and classification of graphic design elements are introduced. Then, combined with the characteristics of environmental art, the application of graphic design elements in different environments and scenes is discussed. It includes color application, composition principle, font selection and graphic expression. Finally, the importance of graphic design elements in the teaching of environmental art is summarized, and the prospect of further research is put forward.
Performance Analysis of Row-Diagonal Parity (RDP) Algorithm in RAID 6 and Its Application in Cloud Computing
Authors: Zhang Zhaohuan
Published: June 2024

With the explosive growth of information, there is an increasing demand for storage technology, and cloud computing has become a major trend with the continuous development of new technologies. Therefore, this paper aims to find superior fault-tolerant coding schemes and explore their potential applications in the field of cloud computing. This paper provides a brief introduction to the background of RAID systems and fault-tolerant coding; elaborates on the principles and encoding process of the RDP algorithm in detail; deeply analyzes the application and performance of the RDP algorithm in RAID-6, and a comparison was made with RDP coding in cloud storage; and analyzes the development potential and specific application scenarios of the RDP algorithm in the field of cloud computing. Based on the above analysis and research, this paper affirms the development potential of the RDP algorithm in cloud storage based on cloud computing. It also proposes the research direction of the RDP algorithm in the field of cloud computing.
Development Status of Computer Experiment Assisted Teaching in Colleges and Universities and its Urgent
Authors: Zwig Stefa , Kesen Has
Published: June 2024

This paper explores the evolving role of computer experiment-assisted teaching in higher education, focusing on the development and challenges faced in China's college systems. It examines the characteristics that distinguish computer lab-assisted instruction from traditional methods, including its operational and practical applications that significantly contribute to the cultivation of application-oriented talents. By analyzing the current status, the paper identifies several pressing issues such as poor management of online assignments, inadequate security measures, and limited system functionality which hinder the effectiveness of computer-assisted teaching environments. Proposed solutions emphasize a systematic, scalable, and teaching-focused design for computer-assisted teaching systems, aiming to enhance the educational experience and operational efficiency. The paper concludes by discussing the implications of integrating advanced technologies in computer labs to expand learning opportunities and improve resource utilization.
Research on Water Finding Methods for Horizontal Wells
Authors: Nie Ran , Ma Haifeng
Published: June 2024

The outflow of water from horizontal wells will lead to a decrease in oil production and a decrease in production efficiency. The commonly used water exploration methods have problems such as harmful oil layers, long auxiliary logging time, low efficiency, high cost, and discontinuous testing data. The technology of using crawlers to lower and search for water does not require the cooperation of the operation team. Logging work can be carried out during mining, and real-time monitoring of the production well can be carried out. The instrument is kept in the center of the casing, with high testing accuracy and short logging time, which improves production efficiency. In response to the problem of difficulty in locating the water outlet position using the crawling water finding technology, this article establishes a method for determining the water outlet position of a horizontal well based on the actual working conditions of a domestic oil field using the crawling water finding technology.
Donor Polymers in All polymer Organic Solar Cells
Authors: Song Yunru
Published: June 2024

This article introduces the background and foundation, design and structure, manufacturing technology, efficiency of All-polymer organic solar cells (all-PSCs). The article lets you learn about the latest development of All-PSCs. First, All-PSCs can reduce optical losses compared to other organic solar cells. Secondly, studying the active layer's morphology can enhance the conversion efficiency of All-PSCs. Thirdly, developing receptor materials can also improve the conversion efficiency of All-PSCs. Therefore, this paper mainly studies the active layer's morphology and the development of new receptor material. It also shows the latest development of all PSCS and the latest conversion efficiency from these two aspects. Finally, this article mainly focuses on all PSC-S, by finding the latest materials to achieve higher conversion efficiency of all PSCS. The potential for integrating all-PSCs into a wider range of applications, including wearable technology and building-integrated photovoltaics, presents an exciting avenue for research and innovation. Furthermore, nanostructuring and molecular engineering advancements could unlock new pathways to surpass the current efficiency thresholds, setting the stage for all-PSCs to become a cornerstone in the renewable energy landscape.
Study on Recycling Decisions of Recycling Dismantlers of Used Power Batteries Under the Influence of Recycling Efforts
Authors: Cao Anqi
Published: June 2024

In this study, a closed-loop supply chain consisting of a waste power battery recycler and a power battery manufacturer will be constructed on this basis. The function models under different decision-making modes are constructed with profit maximization as the objective function, and the simulation analysis discusses how the power battery manufacturer should set the purchase price of the raw materials obtained from the dismantling and processing of the waste power battery recycling dismantler, as well as how the waste power battery recycling dismantler should make decisions on the extent of its own efforts under the scenario where the waste power battery recycling dismantler is recycling only its efforts.
A Comprehensive Analysis of Behavioral Finance and its Impact on Investment Decisions
Authors: Ren Feifan
Published: June 2024

This paper thoroughly examines behavioral finance, challenging traditional financial theories by questioning investor rationality and market efficiency. Focusing on five key phenomena—loss aversion, short-term momentum, long-term reversal, framing effect, and endowment effect—the analysis relies on real-world observations to reveal how psychological biases significantly impact investor decisions and financial markets. Loss aversion, especially evident during financial crises, highlights humans' tendency to avoid potential losses rather than pursuing equivalent gains. The study explores short-term momentum and long-term reversal, challenging market efficiency theories by illustrating how past performance influences future returns. Emphasizing cognitive biases like framing and endowment effects, the paper underscores their role in diverse investment decisions and irrational asset overvaluation based on a sense of ownership. It advocates for incorporating these biases in financial models, regulations, and investment strategies, emphasizing their importance for stakeholders to navigate the financial landscape, minimize instability, and capitalize on opportunities. The research establishes a foundation for a holistic finance approach, respecting and leveraging human behavior for market stability and benefit.
Analysis of Student Engagement and Learning Effectiveness in College English Flipped Classroom
Authors: Zhao Jun , ZAINOL ABIDIN MOHAMAD JAFRE BIN
Published: June 2024

This article takes the college English flipped classroom as the research object and analyzes the characteristics, existing problems, and optimization strategies of the flipped classroom model in college English teaching. This article expounds on the three main characteristics of the flipped classroom: personalized learning, enhanced classroom interaction, and rich teaching resources. This article points out the main problems existing in the flipped classroom in college English teaching, including uneven student participation, large differences in learning outcomes, and difficulties in the role transformation of teachers. In response to these issues, this article proposes three optimization strategies: improving student participation, paying attention to individual differences, and strengthening teacher training. This article summarizes the advantages and challenges of the flipped classroom model in college English teaching and proposes prospects for future research directions.
How to Improve the Walking Classroom: Status of Implementation, Problem Analysis, and Strategy Educational tourism innovation in primary schools
Authors: Wang Chong
Published: June 2024

Educational tourism is an educational approach that integrates field trips and curriculum learning. It has the potential to enhance students' enthusiasm for learning, develop their practical skills, and enhance their overall quality of education. Since 2013, significant attention has been paid to the implementation of educational tourism in China. The government has consistently released a series of policy documents with the objective of fostering the growth of educational tourism, transitioning it from a pilot program to a comprehensive promotion strategy. Nevertheless, in practical application, research trips present numerous challenges, including the issues of "study and travel are separated" and "skimming over the surface". Based on the findings of the field investigation conducted in five primary schools located in Jinhua City, it is evident that despite the active involvement of students and teachers in research trips, numerous practical challenges are encountered. This paper presents an analysis of the present state of the educational tourism curriculum implementation in primary schools. It examines various challenges, including the curriculum's singular design, limited practicality, a scarcity of qualified teachers, insufficient student subjectivity, and an imperfect evaluation system. In order to address these issues, this study suggests several strategies for improving the effectiveness and quality of the primary school educational tourism curriculum. These strategies include reconstructing the curriculum system, refining the curriculum design, enhancing teacher training, establishing a comprehensive evaluation mechanism, fostering closer collaboration between families and schools, mobilizing social resources, and other related approaches.
A study of tennis match trend prediction based on momentum assessment and heuristic HMMs
Authors: He Xuanjun , He Changxu , Ye Fuxian
Published: June 2024

In competitive tournaments, there exists a currently unexplored factor, momentum, whose role affects the trend of the game to a certain extent and even produces surprising fluctuations, which is particularly evident in tennis.This paper proposes a feasible research programme for the problem of momentum change and trend prediction in tennis matches. Firstly, hundreds of matches of Wimbledon Tennis Championships were used as the data source, and the assessment indexes related to momentum were filtered and mathematical models were established through analysis and processing, and then the coefficient settings were optimised by using the self-looping simulated annealing algorithm. The final model better describes changes in match conditions, with a model fit of over 85% for 87% of the matches.At the same time, in order to verify the existence of correlation between the momentum and the direction of the game, this paper randomly selects a number of games, the first half of the event as a dataset for the momentum model training, and uses the heuristic HMM to predict the subsequent changes and compare them with the scoring difference in the second half of the actual game, and the test result is that the two have basically the same trend, and therefore it can be proved that the momentum change curve can be used as one of the indicators of the prediction of the game trend.