bluuebunny/crossref_metadata_2025 huggingface dataset:
Uncover the Regular Pattern of Momentum Behind Tennis Match
Authors: Yu Yaping , Zhou Yuhui , Hou Zhipeng
Published: June 2024

In sports, a team or player may feel they have strength or force during a match as a result of which is often attributed to "momentum". We defined a series of indicators and built several models to explore the role of momentum in a tennis match and the factors that influence it. We use a list of data sets of Wimbledon 2023 men’s matches after the second round. After preprocessing the given data, we defined six indicators, such as cumulative scoring advantage, success rate of breaking serve and ability to control the ball, which make up the player's performance score in each round. The player's performance score was calculated by the normalized values of the indicators and the weights of the six indicators determined through the Principal Component Analysis (PCA). Next, a tumbling window was used on the player's performance scores, and the size of the tumbling window was set to 3 rounds, which was used to calculate the player's momentum in each period. After that, we chose the match "2023-wimbledon-1701" for the visualisation of the match flow. Then we defined the performance score difference between the two players in each round and used it as the independent variable, and the point victor in each round as the dependent variable. Then we built a Logistic Regression Model to analyze the causal relationship between the two. We found that the swings of the game and the success of the players are not random, it will be affected by the performance scores of the players in the game. Each unit increase in the performance score difference increases the probability of Player 1 winning by approximately 5.087 times. Next, we defined the performance score turning point and used it as the dependent variable. After data processing with normalization and resampling, we built a Softmax Regression Model and combined it with the SHAP method to explain the model. We found that there are indicators that can help determine when the flow of play is about to change from favoring one player to the other such as cumulative rate of unforced error, quality of the serve and cumulative rate of scoring at the net. Of these, the ability to control the ball is the most relevant indicator. After that, we made suggestions for players to play against different players. After that, we tested the model using data from the match "2023-wimbledon-1311", and the predictions were favourable. By constructing the confusion matrix and calculating the four evaluation indicators of accuracy, precision, recall, and f1-score, we found that the model results performed generally well. Then, we proposed six factors that may need to be included in the model, such as direction of serve, depth of return and length of break before this round. Afterwards, we found the dataset of Sebastian Ofner vs. Stefanos Tsitsipas in the men's singles eighth-final of the 2023 French Open Roland Garros to fit the model and found that the model is more generalizable. Finally, we evaluated and refined the model and reported the findings in a memo to tennis coaches.
Research on Product Competitiveness of the Digital Music Platform: A Case Study of the QQ Music Platform
Authors: Zheng Tongxin
Published: June 2024

The advent of the information age has led to a gradual transition of the traditional music industry towards digital development. This report delves into product innovation strategies implemented by QQ Music, such as its copyright strategy and product features, in response to intense competition within the digital music market. Based on the key findings, this report discusses how QQ Music’s innovative strategies have contributed to reinforcing the company’s dominance within China’s music streaming industry. A thorough SWOT analysis also serves as a strategic compass, highlighting the ways in which QQ Music strategically builds on its innate strengths and aggressively addresses its shortcomings. With a forward-looking perspective, this report provides insights into the future trajectory of QQ Music. The aim is to evolve strategies in response to changing copyright policies and to increase market competition. This research demonstrates QQ Music’s current product competitiveness and serves as a strategic roadmap for the platform’s future endeavors. Through constant strategy adjustments and grappling with the industry trend, QQ Music is positioned to both navigate and actively shape the changing digital music streaming marketplace in China.
Research on China's Higher Education Policy
Authors: Guo Jing
Published: June 2024

Taking China's higher education policy as the research object, this paper conducts a comprehensive and in-depth research on the historical evolution of China's higher education policy, current policy analysis, policy effect evaluation and challenges and countermeasures by using the historical analysis method, policy analysis method and effect evaluation method. The study found that China's higher education policy has experienced three stages of historical evolution before the reform and opening up, since the reform and opening up to the end of the 20th century, and from the beginning of the 21st century to the present, and the policies at each stage have had an important impact on the development of higher education. Currently, China's higher education policy has achieved remarkable results in terms of macro management, micro operation and characteristic development, but it still faces problems such as uneven distribution of educational resources and equity and opportunity in higher education. In response to these problems, this paper puts forward a series of countermeasure suggestions to optimise the higher education policy system and strengthen policy implementation and evaluation. In the future, China's higher education policy should focus on innovation and reform to promote the sustainable and healthy development of higher education.
A Case Study of Financial Integration of Yonghui Supermarket under the Financial Sharing Model
Authors: Li Yihui
Published: June 2024

At present, due to the rapid development of information technology, problems such as low financial work efficiency, high operating costs, imperfect internal control system and inadequate risk control have emerged. In order to improve and solve these problems, many companies have put forward a financial sharing solution, which in essence is to centralize financial data and carry out standard assembly-line reform on part of financial work. However, this only improves the efficiency of financial accounting to a certain extent, but does not improve the financial value creation ability, and cannot meet the deep-level requirements of enterprises. Therefore, with the gradual development of management accounting theory, the integration of industry and finance will gradually become the trend of financial management in the future. In this paper, financial sharing is the starting point to study financial integration. Yonghui Supermarket is selected as the research object. Firstly, the general situation of the company and the establishment process of its financial sharing center are introduced. Secondly, it analyzes the effect of financial integration under the corporate financial sharing model. Finally, the research conclusions of this paper are put forward.
Analysis on the Production and Dissemination Mode of Film and Television Content in The New Media Era
Authors: Zhang Jiarui
Published: June 2024

With the rapid development of new media technology, the production and dissemination of film and television content is undergoing unprecedented changes. This trend not only changes the way people get information and entertainment, but also profoundly affects the development path of the film and television industry. In the new media era, it is very important to understand the changes in the production and communication mode of film and television content for grasping the industry trend and meeting the challenges. The purpose of this paper is to explore the production and dissemination mode of film and television content in the new media era, and analyze its characteristics, challenges and prospects, with a view to providing new ideas and enlightenment for the development of the industry.
Cyber violence governance on digital platforms: criminal compliance and public-private co-governance
Authors: Yang Longyin
Published: June 2024

Cyber violence is endangering the order of cyberspace with the characteristics of depersonalization and de-accountability, and the governance of digital platforms is facing challenges such as lagging response, lax implementation and conflict of interest. Platforms, as providers of online services, have a natural technological advantage and should be responsible for the governance of public cyberspace. There is an urgent need to establish a detailed criminal compliance plan to reduce the criminal compliance risk due to online violence through the whole process of prevention beforehand, timely disposal during the incident, and reflection after the incident, and a positive incentive function can be expected. In addition, the prudent involvement and appropriate intervention of public power are key elements in the governance of online violence. Under the framework of binary co-regulation, the public and private sectors complement each other and dynamically synergize to make up for the inadequacy of the current legal regulation.
Research on human-computer interaction design of intelligent vehicle based on situational awareness
Authors: Tan Shengsheng
Published: June 2024

With the rapid development of automotive intelligent technology, the human-computer interaction design of intelligent vehicles has been paid more and more attention. Good human-computer interaction design can improve driving experience and enhance driving safety. However, some existing human-computer interaction designs of intelligent vehicles have some problems, such as lagging concept, lack of adaptability of interactive interface and insufficient response ability of intelligent system, which lead to poor human-computer interaction effect. In response to these problems, this paper proposes countermeasures for human-computer interaction design of intelligent vehicles with situational awareness as the core, including strengthening the position of situational awareness in the design concept, optimizing the situational adaptability of the human-computer interaction interface, and enhancing the coordination between the driver and the intelligent system, so as to improve the naturalness, efficiency and safety of human-computer interaction.
Core Technologies in Recommender Systems: Investigating and Analyzing Standard Implementations
Authors: Cai Yifan
Published: June 2024

This paper places special emphasis on the evolution of recommendation algorithms in the context of big data and machine learning, underscoring significant advancements in deep learning and natural language processing that have markedly improved the precision and personalization of recommendations. We explore case studies in various sectors, including e-commerce, streaming services, and social media, to illustrate the adaptation of these technologies to distinct industry requirements. A critical component of our analysis is the examination of the impact of user data privacy regulations on the design and functionality of these systems. Additionally, the paper addresses the challenges and prospective directions in the field, with a particular focus on ethical considerations, the mitigation of bias, and the incorporation of artificial intelligence for dynamic, context-aware recommendation systems. Our research methodology amalgamates an extensive literature review with empirical data analysis, offering an in-depth understanding of the current state of recommendation system technologies. The findings of this study are intended to contribute to the field by presenting a comprehensive view of the technological, ethical, and practical dimensions of recommendation systems in the contemporary digital landscape.
The Dissemination and Social Effects of Black and White Illustrations in The Public Domain
Authors: Zhang Lu , Astri Yulia, Ph.D.  , Rina Abdul Shukor ,Ph.D.
Published: June 2024

This paper extensively investigates the dissemination of black and white illustrations in the public domain and their societal impact. Through an analysis of dissemination forms, social effects, and future development trends, it delves into the applications of black and white illustrations in print media, digital media, exhibitions, and events. It focuses on exploring the effects of black and white illustrations on individual cognition, the transmission of social and cultural values, and the promotion of public policies. Case studies are utilized to showcase the applications of black and white illustrations in healthcare, environmental protection, and education, along with their positive outcomes. The paper proposes evaluation and monitoring mechanisms to assess the quality and effectiveness of the dissemination of black and white illustrations in the public domain. Additionally, it suggests policy recommendations such as government funding support, tax incentives, intellectual property protection, and educational training to facilitate the sustainable development of black and white illustrations in the public domain. These comprehensive research and analyses provide robust guidance and support for enhancing the role of black and white illustrations in the public domain, offering essential theoretical references for related fields of study and practice.
Blockchain Technology Adoption in the Food Supply Chain: Challenges and Recommendations for Modern Businesses
Authors: Zhang Xikun
Published: June 2024

The adoption of digital technology in modern commerce has driven growth in total online sales and stimulated the development of new business models that combine online and offline sales activities. However, this change has created unique challenges in the food supply chain, requiring businesses to adapt to changing customer preferences and demands. In response to these changes, many businesses have begun leveraging blockchain technology to enhance supply chain efficiency, ensure food safety, and build consumer trust. This paper explores the specific challenges food businesses face operating in an integrated online and offline model. It analyzes how blockchain technology can address these challenges at different nodes within the supply chain. Focusing primarily on upstream sourcing, inventory management, and information transparency, specific strategies for blockchain adoption are provided. By examining the motivations and difficulties for food companies to invest in blockchain technology, the paper provides practical recommendations to improve the performance and efficiency of digital transformation in the food industry.
Analysis Of the Current Situation and Prospective Study of Hydrogen Preparation and Storage
Authors: Zheng Yi
Published: June 2024

The research, development, and practical application of renewable energies are becoming a major trend with environmental problems such as increasingly serious global warming and the depletion of oil resources. Hydrogen is an ideal alternative energy source due to its cleanness and high combustion ratio. It is recognized as the most likely replacement for the existing coal and oil systems as the future energy base of the global economy. But as things stand, the hydrogen reserve technology and hydrogen storage technology at the current stage all have certain advantages and disadvantages. Based on this background, the study summarizes the current state of the art of hydrogen energy production technologies such as direct hydrogen production from fossil fuel, hydrogen production from electrolysis of water, hydrogen production from biomass, as well as four types of hydrogen storage methods, namely, high-pressure gaseous hydrogen storage, low-temperature liquid hydrogen storage, solid hydrogen storage, and organic liquid hydrogen storage, and analyzes the advantages and disadvantages of each technology. Among them, hydrogen production from electrolyzed water and bio-hydrogen production are the technologies with higher potential but still need to improve economic competitiveness. The high-pressure gaseous hydrogen storage technology can also be brought to market on a wide scale after cost reduction.
The Reconstruction of RDP-Based RAID-6 under Double Disk Failures: An In-depth Analysis
Authors: Liu Peizhuo
Published: June 2024

As the data volume increases rapidly, the necessity for data storage systems is also rising significantly. The RAID technologies have been widely applied in data storage, due to their reliability and reconstruction ability under disk failures. Furthermore, as the disks in RAIDs increase, disk failures occur more frequently, arousing a considerable amount of data loss. Given this situation, this paper proposes a reconstruction algorithm for double-disk failures and an extension coding scheme which is called RDP+ based on Row-diagonal parity (RDP) to address single-disk failures which are the most common fault at a higher efficiency, providing flexible reliability against disk failures. The simulation in MATLAB provided solid proof of the effectiveness and validity of the algorithm. Additionally, the performance analysis which evaluated RDP and its counterpart in terms of encoding complexity and reconstruction cost showed that RDP+ reduces the reconstruction cost while increasing the encoding complexity.
"Four New and Three High" Mathematical Modeling Course Construction
Authors: Li Yuanyuan
Published: June 2024

After years of inheritance, innovation and integration, the mathematical modeling curriculum has been reformed from the aspects of education concept, training goal, teaching system, teaching material system, course content, teaching method and learning mode. Teaching "four new" design is to organically integrate the ideological and political elements with professional characteristics into the course teaching, innovate the course content, teaching methods and evaluation methods, enhance the students' independent learning ability, and realize the integration of teaching and ideological and political education. The transformation of "three high" innovation resources into teaching: high-level design, high-quality requirements, high-level implementation, relying on high-level scientific research and innovation resources, timely transformation into teaching resources through classroom teaching, extracurricular science and innovation, school-enterprise exchanges and other ways, and focusing on cultivating students' practical ability and innovation ability.
Innovative Strategies for Promoting Reading Skills through Flipped Classroom in College English Instruction
Authors: Zhao Jun , Mohamad Jafre Bin Zainol Abidin
Published: June 2024

This article takes the flipped classroom in college English instruction as the research object and explores innovative strategies for enhancing reading skills through the flipped classroom approach. The article provides a detailed analysis of the definition and core ideas of the flipped classroom, the practical models of the flipped classroom in college English instruction, and a comparison between the flipped classroom and traditional classroom models. The article identifies several issues that arise in implementing the flipped classroom in college English teaching, including insufficient student participation, difficulties in the transition of teacher roles, and limitations in teaching resources and technology. To address these issues, the article proposes a series of optimization strategies, including methods to enhance student participation, measures to address the transition of teacher roles, and innovative integrations of teaching resources and technology. The article concludes with a prospective view of the flipped classroom in college English instruction and suggestions for future research.
Mispricing and Profitability Premium in the U.S. Stock Market
Authors: Wu Yuwei
Published: June 2024

This paper examines the effect of profitability premium in the U.S. stock market through a variety of profitability measures. The empirical results show that there is a positive profitability premium, which comes mainly from short legs rather than long legs. Firms with high profitability generate significantly higher future stock returns than those with low profitability, and the profitability premium is particularly prominent among firms with large capitalization and high growth. The profitability strategy tends to be a growth strategy for a large stock, and behavioral mispricing fails to explain the phenomenon of the profitability premium in the U.S. stock market.
A Study on the Impact of Mixed Reform on the Financial Performance of State-Owned Enterprises
Authors: Lu Jianyu , Chen Yiqiu
Published: June 2024

The concept of mixed ownership reform was first put forward in the 1990s, and has been developed and strengthened year by year. Its main purpose is to stimulate the internal vitality of enterprises by introducing the combination of non-state-owned capital and state-owned capital, and optimize the management mechanism through the implementation of mixed ownership reform, so as to promote economic development and enhance the competitiveness of enterprises. This reform process not only contributes to innovation and efficiency within the company, but also lays a solid foundation for the long-term development of the company. Yunnan Baiyao Co., Ltd. is a well-known pharmaceutical enterprise, which has a significant influence and market position in the national pharmaceutical industry, and is also a key enterprise in the early adoption of mixed reform in China. Therefore, it is of great reference value and significance to analyze and study the financial performance of Yunnan Baiyao after the mixed reform. At present, the country is vigorously promoting the mixed ownership reform of state-owned enterprises. Based on this background, this paper, by analyzing the financial performance of enterprises and applying relevant theories involved, makes a detailed case analysis of the development status of Yunnan Baiyao after the mixed reform, with a view to providing some suggestions for similar enterprises or other enterprises with the intention of mixed reform.
Analysis of New Energy Electric Vehicle Development in China Based on Machine Learning
Authors: Wang Danqing , Ouyang Chengan , Peng Xinyang
Published: June 2024

New energy vehicles are an inevitable trend in the future development of the automotive industry. Therefore, it is important to study the development prospects of new energy vehicles. This paper analyzes the main factors of new energy vehicles through the method of machine learning, and predicts the development of new energy vehicles in the next decade. The research reveals that international competition and collaboration, government policies, and technological advancements are the primary factors influencing new energy vehicles. At the same time, although the profit growth rate of new energy vehicles occasionally slows down, it still maintains a growth trend overall. It is expected that the research in this paper can contribute to the further development of the new energy vehicle industry.
The Mediation Role of Mobile Phone Addiction to the Relationship between Physical Activity and Autistic Traits among College Students
Authors: Han Gege
Published: June 2024

This study taking physical activity (PA) as the independent variable and autistic traits (AQ) as the dependent variable, we explored the relationship between the three in depth, further verified the mediating role of mobile phone addiction (MPA ) between the two , and constructed a hypothesized mediation model of mobile phone addiction in the relationship between physical activity and autistic traits.Method: This study takes the characteristics and correlations of physical activity (PA), autistic traits (AQ) and mobile phone addiction (MPA) as the research objects, follows the principle of convenience sampling , and uses questionnaire survey method and mathematical statistics method to conduct a survey on Zhanjiang City, Guangdong Province. Three universities conducted stratified sampling , and finally conducted a survey and research on 382 college students . The " International Physical Activity Scale -Short (IPAQ -SF)", "Autism Trait Scale(AQ)" and "Mobile Phone Addiction Tendency Scale(MPATS)" were used. An electronic questionnaire produced by "Questionnaire Star" was used to conduct an online survey on college students' physical activity, autistic traits and mobile phone addiction tendencies, etc., and SPSS24.0 was used for statistical processing and analysis.Result:1. The BMI difference between PAand AQ of college students was significant (p < 0.01). 2. There was a significant difference between the PA level and the level of college students with high and low AQ (p < 0.01). 3. The results of correlation analysis showed that there was a significant negative correlation between PA and AQ (r = -0.48**, Sig.000) and MPA (r=-0.22**, Sig.000), and a significant positive correlation between AQ and MPA (r=0.37**, Sig.000). 4. PA had a significant mediating effect on AQ through MPA, and MPA had a significant mediating effect between PA and AQ; the direct effect of PA on AQ was significant; the total effect of PA on AQ was significant.Conclusion:1.Physical activity can significantly and negatively predict autistic traits and mobile phone addiction; 2. Mobile phone addiction significantly and positively predicts autistic traits ;3. Mobile phone addiction ranks between physical activity and autistic traits has a significant mediating effect.
Construction and Application of the Translation Teaching Model for MTI from the Perspective of Digital Humanities
Authors: Li Guangwei , Jiang Haiman
Published: June 2024

With the deep integration of science and technology and humanities, great changes have taken place in the ways that human beings contact and learn. Digital humanities are an interdisciplinary and extended field, dealing with digital versions of knowledge products and helping to enhance and transform humanities and social science research. With the principles of practice-driven, process-oriented, cooperation-supported, and interaction-enhanced, the translation practical training and teaching platform has been developed. A translation-project-centered translation teaching model for MTI has been established with the Project-Based Learning theory based on the translation practical training and teaching platform. Students-centered and translation-projects-based, the processes of homework, including selecting, assigning, completing, correcting, and feedback, are well-organized in and out of class in this teaching model, which facilitates the transition of students from passive receivers to active constructors. The aim is to comprehensively improve students’ competence in translation and provide favorable conditions for cultivating professional translators with expertise. Effect test has been down and the result presents that there is a great improvement for students with the operation of the translation-project-centered translation teaching model, and both teachers and students have positive evaluation for it.
The Impact of Agency Problems on Corporate Performance in China
Authors: Zhang Xinyue
Published: June 2024

This paper delves into the intricate dynamics of the horizontal agency problem within the realm of corporate governance in China, scrutinizing the inherent conflict of interest between controlling and minority shareholders amidst a backdrop of concentrated ownership. Its core objective is to comprehensively grasp the repercussions of this agency dilemma on firm value and corporate performance. Central to this investigation is the identification and analysis of institutional features that fuel the agency predicament, notably the pre-existing split-share structure and the prevalent establishment of pyramid ownership arrangements. In response to these challenges, this study advocates for two primary approaches to mitigate the agency conundrum: an informal approach driven by cultural factors, particularly rooted in Confucian ethics, and a formal strategy entailing robust legal safeguards and regulatory frameworks. The potential efficacy of these proposed measures in ameliorating conflicts of interest, curbing unethical conduct, and fortifying the rights of minority stakeholders, all while reducing agency costs and enhancing corporate performance.
Impact of Functional Training on Sprinting Performance of College Sports Majors
Authors: Wu Xiangyu
Published: June 2024

The purpose of this study was to explore the relationship between functional training and sprinting performance. The students majoring in physical education in colleges and universities are taken as the research object, An 8-week training experiment was carried out to compare the changes in FMS test and sprinting performance of the subjects before and after the experimental intervention. The results show that after the functional training intervention, all the test indicators of the subjects have been improved in different amplitude, which reflects the role of functional training in special sprinting training, proves the effectiveness of functional training in specific people, and provides a theoretical basis and realistic path for grassroots sprinting training.
UBS's Acquisition of Credit Suisse: Case Study of Acquisition Results between Large Banks
Authors: Tang Wei , Luo Kejie , Ming Juntao
Published: June 2024

UBS's acquisition of Credit Suisse is a typical case of acquisitions between large banks, which has a great influence on the development of UBS itself and the Swiss banking industry. This paper aims to evaluate the success of the acquisition based on the changes in UBS’s stock price at the time of the acquisition news announcement and the actual occurrence of the acquisition. Through the study of UBS’s stock price fluctuations before and after the release of acquisition news, this paper finds that investors generally hold a positive attitude toward the impact of the acquisition on UBS's operation and future revenues. Through analysis of the stock price and owners' equity per share changes during the acquisition, it can be indicated that the income of UBS also increased significantly after the actual occurrence of the acquisition, which is confirmed by both the positive reaction of market investors and UBS's financial statements. The generally upward indicators such as stock price, return on stocks, and owners 'equity reflect the overall positive financial information of UBS, therefore UBS's acquisition can be considered successful to a large extent. According to this acquisition case, the acquisition is a significant means for large banks to enhance market investors' optimism about them, as well as reduce their operating costs and increase future revenues.
Research on Predicting Spread of Dandelion Seed Based on PCA and Dandelion Optimizer
Authors: Chen Qihao , Zhang Yuxuan , Zhang Ruochong , Zheng Jiaxuan
Published: June 2024

Plants such as Taraxacum officinale, as known as dandelion, flood our life and therefore influence our world drastically. They can result in both beneficial outcomes and negative consequences. As a major component of invasive species, the spread of dandelions in the ecosystem could contribute to the broke of ecological balance, causing economic loss in agriculture. Therefore, researching the spread and influencing factors of dandelions has extremely significant importance. To determine the impact factors, we comprehensively consider complicated sub-factors. After quantifying and unifying the data, we utilize PCA for low-dimensional analysis. And, we introduce data from other invasive species to validate the generalization of our model. Based on the results of PCA, we establish a model based on Dispersion Optimization (DO), which predicts the spread of dandelions under different climatic conditions for 1 month, 2 months, 3 months, 6 months, and 12 months by collecting statistical data on climate indicators. We found that the longer the time period, the smaller the differences in dandelion spread across different climates.
Path Planning Based on Astar Algorithm in Mobile Robot
Authors: Peng Zhenyang
Published: June 2024

The food processing industry is one of the fundamental industries in our daily lives. In recent years, with the development of industrial robot technology, its application in food processing has become increasingly widespread, and the position of robots in industrial production has become higher and higher. At present, many factories choose to use robots to complete some assembly line work, while fully automated factories are widely used due to their high efficiency, reduced energy loss, and irreplaceable accuracy and sustained efficiency that cannot be replaced by manual labor. This trend is gradually increasing with the development of local path planning and other core robot technologies.In this context, we have decided to design a robotic arm mobile platform that can be applied to bakeries. For the fermentation process of bread, we use the mobile robot platform to complete the tasks of picking dough, placing it on the work loss line, and transferring it to the finished product placement point in a constant temperature environment. We even use the robotic arm to ensure that the bread is placed on the shelf from a high-temperature oven in a sterile environment before transportation, thereby saving labor costs, improving work efficiency, and ensuring the hygiene of the production environment. In addition, it is necessary to maintain the collection of surrounding obstacle information in complex indoor environments and improve the information processing ability of the obtained information, in order to plan the shortest path based on the layout of the bakery. In order to improve the efficiency of factory work, this work simulated the application scenario of a bakery and used Astar algorithm for path planning, aiming to ensure that the mobile platform of the robotic arm can complete its work while minimizing unnecessary consumption, collisions, and labor costs.
The Impact of Digital Inclusive Finance on Household Consumption: Empirical Analysis Based on the Yangtze River Economic Belt
Authors: Wei Yutong , Wang Qiong
Published: June 2024

Improving residents' consumption level is one of the important goals of China's economic development, and digital inclusive finance, as the key work of financial development, has a non-negligible impact on residents' consumption. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2016 to 2022, this paper empirically analyzes the relationship between digital financial inclusion and household consumption by using the fixed-effect model and considering the endogenous problem. The findings are as follows: First, digital inclusive finance promotes the improvement of residents' consumption level, and this result is robust; Second, the mechanism analysis results show that digital inclusive finance can improve residents' consumption level through increasing residents' income, digital insurance and consumer credit. Thirdly, from the perspective of regional and urban-rural heterogeneity analysis, it is found that the promoting effect of digital inclusive finance on residents' consumption is more obvious in the middle reaches of the Yangtze River Economic Belt, while the promoting effect of digital inclusive finance on rural residents' consumption is more significant. Based on this, relevant policy recommendations are put forward, and the Yangtze River Economic Belt region should improve the relevant policies and regulations of digital inclusive finance, driving progress in the digital insurance industry, promote financial technology innovation and differentiated development of digital inclusive finance.
Study on the Impact of Agricultural Supply Chain Finance on Poverty Reduction: An Empirical Analysis Based on Nine Provinces in China's Border Region
Authors: Li Wenjing , Xie Lingjun
Published: June 2024

This paper employs panel data from nine provinces and regions in China's border areas from 2011 to 2021 to empirically test the impact of agricultural supply chain finance in China's border areas on poverty reduction. The intermediary mechanism test model is used to investigate the underlying mechanisms. The findings of this research indicate that the development of agricultural supply chain finance has a significant effect on improving per capita disposable income in rural areas. There is, however, heterogeneity in the impact of this development across different border provinces and regions. The Southwest Border Region has the most pronounced effect in improving per capita disposable income in rural areas through agricultural supply chain finance. This research result provides strong theoretical support for the development of agricultural supply chain finance in China's border areas and also provides important reference basis for relevant policy formulation. As further research is conducted, it is anticipated that more results will emerge, which will facilitate the advancement of economic development and poverty reduction initiatives in China's border regions.
Research Status of New Energy Vehicle Thermal Management
Authors: Zhu Zhihui
Published: June 2024

Thermal management of new energy vehicles, as a way to break through the driving range of new energy vehicles and one of the guarantees of safety performance, has been paid more and more attention to. In order to improve the thermal management efficiency of new energy vehicles, the thermal management mode of the whole vehicle should be optimized, so that different parts can work at a suitable temperature, so as to ensure the functional safety and service life of the vehicle. Based on this, this paper analyzes the passenger cabin thermal management system through Positive Temperature Coefficient (PTC) heating air conditioning, heat pump air conditioning and other technologies. This paper introduces the new energy vehicle battery thermal management system from the aspects of direct cooling mode and heating mode, introduces the battery thermal management system through the analysis of flow charts, and introduces the cooling mode of electric control and motor, and pays attention to some cutting-edge research progress, and summarizes the automobile thermal management technology theory.
Research on Vegetables Sales Profit Based on Machine Learning
Authors: Liu Ruichen , Li Yinxi , Li Mengdan
Published: June 2024

The sales volume of different vegetables in supermarkets is different, and the profit is different. The research on the profit of each category of vegetables can help supermarkets predict the sales revenue more accurately to improve inventory management, purchasing plans, and sales strategy. This can help the supermarket avoid excess or insufficient inventory, improve profits, and help the supermarket identify potential sales risks. The research team obtained daily sales data for various categories of vegetables from a supermarket on the Internet for some time. First, according to the "cost plus pricing" method of vegetables, regression analysis was conducted on the total cost and total profit of various categories of vegetables, and it was found that there was a strong linear relationship, and the profit rate of various categories of vegetables was relatively fixed. They were [0.6629, 0.5915, 0.4663, 0.5121, 0.5596, 0.5381]. Since the sales volume of vegetables has seasonal characteristics, this paper established the ARIMA model to forecast the sales volume of each category of vegetables; and obtained the sales volume distribution of each category of vegetables from July 1 to 7, 2023. The BP neural network model with 22 layers of hidden layers was established, and the purchase unit price data could be obtained according to the known sales data. The R square of the model was greater than 0.7, and the goodness of fit was high. According to the known correlation, considering the impact of the loss rate on the profit and the rationality of the data, a multivariate linear programming model is established to give the replenishment volume and pricing strategy from July 1 to 7, 2023. It is concluded that the maximum profit of the supermarket in these seven days is [845.1835, 870.5028,861.6210, 858.8551, 839.4595, 864.7580, 892.9897]. Through the sensitivity analysis of the profit rate of each category of vegetables, it is concluded that the profit rate increases by 1%, the income will increase by about 1.1%, and the model is robust.
Application of Solar Hydrogen Production and Hydrogen Energy Storage in Outer Space
Authors: Ding Tianran
Published: June 2024

The pursuit of space colonization has captured humanity's imagination, leading us to imagine a future in which humans inhabit distant celestial bodies. However, such ambitious efforts raise questions about the sustainability of life in these harsh and isolated environments. Among these issues, a reliable and renewable energy source is essential. In this context, hydrogen is essential to the space colonization equation. Hydrogen, as an energy carrier, offers numerous compelling reasons for its essential role in the future of space colonization. First and foremost, hydrogen boasts an unparalleled versatility that aligns with the multifaceted demands of space colonization. In space, hydrogen can be employed in various applications, including power generation, propulsion, and life support systems. In addition to its versatility, hydrogen is a crucial chemical feedstock for various industrial processes. These processes are pivotal in sustaining human life and facilitating scientific endeavors in space. We will explore hydrogen's unique advantages and potential to reshape how we approach the challenges of inhabiting other worlds. Moreover, we investigate the utilization of these local resources for hydrogen production and the technological methods and challenges associated with each approach. By understanding these methods and their limitations, we aim to contribute to the foundation of knowledge necessary for sustainable space colonization.In conclusion, this paper explores the pivotal role that hydrogen plays in the future of space colonization. It underscores the significance of harnessing local resources for hydrogen production on the Moon and Mars, offering solutions to the challenges that lie ahead. Through interdisciplinary research and innovation, we strive to unlock the full potential of hydrogen as we embark on this epic journey into the cosmos.
Preparation of New MFC Anode and Degradation Performance of Ship's Oily Waste Waterv
Authors: Zhang Qianyong , Yin Zhirao , Sun Rui , Zhao Chun , Jing Yongqi , Yang Fuke
Published: June 2024

Microbial fuel cells (MFCs) have emerged as a promising technology for sustainable energy production and environmental remediation, particularly in treating oily wastewater in the maritime industry. However, their practical application has been limited by low power output and energy conversion efficiency. Research has explored enhancing MFC power output through anode modification and electrode material optimization, with biochar showing potential as an alternative anode material. Our study developed pine cone biochar as an anode for MFCs, demonstrating excellent biocompatibility and significantly improved power generation and degradation performance. FT-IR, contact angle measurements, and electrochemical techniques characterized the MFC performance, with biochar-based MFCs achieving higher voltage, power output, and current density compared to carbon felt. Additionally, biochar MFCs exhibited a higher oil wastewater degradation rate and COD removal efficiency. These findings suggest that biochar is a promising anode material for MFCs, warranting further research to optimize MFC design and operational conditions for effective wastewater treatment and energy recovery.
The Impact of Co-branding under New Media Marketing on Consumer Purchase Intentions
Authors: Shi Yihao
Published: June 2024

In the context of new media marketing, co-branding has a positive impact on consumer purchase intentions. Through new media platforms, co-branding activities are widely disseminated, increasing consumer awareness of products and making co-branded products a hot topic. Consumer trust in co-branded brands is strengthened, and through collaboration with other brands, consumers are more confident in the quality and reputation of co-branded products. Compared to other activities, co-branding aligns with brand market positioning. By collaborating with brands from different fields, co-branding achieves resource sharing and complementary advantages, enhances brand image, and creates uniquely charming co-branded products through partnerships with other well-known brands, strengthening consumer recognition and trust in the brands. Fully leveraging the advantages of new media marketing provides consumers with a diversified shopping experience, making the shopping process more interesting and enriching through personalized recommendations. Currently, WeChat public account marketing, social media marketing, and live streaming marketing are the main forms of new media marketing. By regularly posting content and interacting with fans, brands achieve precise marketing and attract user attention. In the future, brands should fully utilize the advantages of new media marketing, combined with co-branding strategies, to achieve more precise and efficient market promotion.
The Impact of Villagers' Participation in the Protection and Development of Traditional Villages on the Revitalization of Traditional Villages
Authors: Chen Siyu
Published: June 2024

Traditional villages carrying farming civilization are valuable historical and cultural heritage of China, and also the key to rural revitalization. Under the tide of modernization, Xihe Village, located in the mountains, is relatively intact as a traditional village. Under the guidance of the traditional village protection policy, the village has achieved remarkable results in protection and development. However, as the main body of village protection practice, local villagers still face corresponding problems in the protection and development of villages and the participation of relevant policies. These problems are manifested in residents' relatively low understanding of the protection policies of traditional villages; The government does not fully cooperate with the local villagers in carrying out cultural activities, and the village culture is not fully explored. Village infrastructure is still lacking, which is not conducive to retaining villagers to live and develop in the village. Therefore, in order to strengthen the participation of villagers in the protection of traditional villages, the government should strengthen the publicity of the protection and development policy of traditional villages. When carrying out cultural activities, the government should strengthen the cooperation with the villagers and explore the various cultural resources in the villages. Improve the infrastructure in the village, and provide better material guarantee for the life development of local villagers.