bluuebunny/crossref_metadata_2025 huggingface dataset:
Preface: 3rd International Conference on Earth Science, Energy Technology and Engineering Physics (ESETEP 2024)
Authors: Tao Jinwen , Jerome Gavin
Published: June 2024

We gratefully acknowledge the presence of all participants on 2024 3rd International Conference on Earth Science, Energy Technology and Engineering Physics (ESETEP 2024). ESETEP 2024 was successfully held in Seattle, USA during April 27-28, 2024. The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects. Another goal of this conference is to present and discuss the latest research that leads to the exchange of new theoretical, analytical, and scientific knowledge and to a deeper understanding.
ESETEP 2024 was the most comprehensive conference focused on the various aspects of advances in earth science, geomatics engineering, marine engineering, meteorological research, energy technology, space physics and engineering physics. The conference provides a chance for academic and industry professionals to discuss recent progress in these areas.
ESETEP 2024 welcomed participants from several countries, with a wide and variety of research of interests, in particular combinatorial research. The mission of this conference is to be an annual international forum where members of society organizations, research students, educators, researchers, physicists, and practitioners from all over the world can meet and exchange ideas to communicate and discuss theoretical and practical knowledge and its applications.
The Conference Scientific Committees
Seattle, USA
Preface: 2nd International Conference on Civil Engineering, Architecture and Transportation (CEAT 2024)
Authors: Gaskell Rupert , Hu Xiaoyue
Published: June 2024

On the behalf of the organizing committee, the 2024 2nd International Conference on Civil Engineering, Architecture and Transportation (CEAT 2024) was successfully held in Kyoto, Japan during January 20-21, 2024. Related exhibitors from research laboratories, industrialists and suppliers were invited to propose exhibitions and demonstrations. CEAT 2024 allows for the free exchange of ideas and challenges faced by these two key stakeholders and encourage future collaboration between members of these groups. The conference also fosters cooperation among organizations and researchers involved in the fields of civil engineering, architecture design, urban planning, transportation, and intelligent logistics.
We enjoyed 4 keynote speeches and many oral presentations made by the authors which lasted for 15-20 minutes each, and a lot of inspiration sparked during the Q&A parts. Researchers who have contributed their work to CEAT 2024 shared their findings and experience with other researchers and attendees. Many participants without any contribution of research paper have also been allowed to attend the conference to gain knowledge in their respective areas.
Within all contributions from the participants, less than 40 papers were final accepted from more than 60 submissions. Thanks to the dedication of every committee member and reviewer, we finally made this conference.
CEAT 2024 Conference Committee
Kyoto, Japan
Revolutionizing Energy Storage: The Role of Plastic Electronics in Advancing Beyond Traditional Batteries
Authors: Meng Tongyu
Published: June 2024

The rapid evolution of electronic devices towards increased portability and versatility has necessitated the development of new materials and technologies that surpass the capabilities of traditional inorganic materials. Conductive polymers and organic materials have emerged as pivotal components in this transformation, offering unique advantages such as lightweight, flexibility, and cost-effectiveness, thereby addressing the growing demand for innovative energy storage solutions. This paper examines the application of conductive polymers in energy storage, focusing on their electrical conductivity mechanisms, advantages over inorganic materials, and their role in developing flexible batteries and supercapacitors. It discusses strategies to enhance their electrochemical performance and addresses challenges such as energy density, stability, and scalability. The integration with renewable energy sources for sustainable development is also explored. The study underscores the potential of conductive polymers to transform energy storage technologies, contributing to environmental sustainability and technological innovation. Through this analysis, the paper aims to provide insights into overcoming current limitations and future research directions, highlighting the importance of conductive polymers in achieving a sustainable energy future.
Sales Strategies and Comparison Between Traditional Vehicle Enterprises and New Energy Vehicle Enterprises
Authors: Zhang Jincheng
Published: June 2024

In today's society, car sales have become a challenge for every car company and salesperson. How to sell well produced cars? Nowadays, major car brand manufacturers are engaged in price wars, lowering prices to seek small profits and high sales. From the beginning of the 21st century until now, fuel powered vehicles have dominated the market. With the development of technology and social progress, people are paying more and more attention to environmental protection. Therefore, compared to traditional fuel powered vehicles, new energy vehicles have become a development trend in the global automotive industry. For the global environmental situation, it is necessary to take effective measures to prevent the worsening of environmental pollution. However, for traditional fuel vehicles that have been continuously developed for over a century, it is naturally impossible to give up. At the same time, the research and development and promotion of new energy vehicles are also imperative, only in this way can this paper ensure the development of new energy vehicles while traditional fuel vehicle enterprises are developing.
To Explore the Influence of Zhou's "Destiny of Heaven" Thought on the Development of Chinese History
Authors: Zhao Gaoyu
Published: June 2024

The Mandate of Heaven is known as a concept similar to the constitution in the modern days that is supposed to restrict the emperor from being corrupted by the supreme power and guide the emperor on how to govern a country. This piece of evidence indicates that providing education to everyone could help to stabilize the country politically by educating people to allow people to think and do things wisely, and the mandate of heaven emphasizes that education is important in providing a stabilized political system within a state. From the traditional view of "matching heaven with virtue" to the view of Tianzi focusing on personal moral cultivation, the development of Tianzi. In the past few decades, the issue of individual rights and democracy has been a concern. This research will review the literature, sort out the formation and development of the ancient Chinese concept of destiny, and focus on the positive role of ancient Chinese thought in the formation of the national concept through the exploration of this paper.
Influence of interfacial micro-nano-modulation on the electrical properties of 2D single-layer structure
Authors: Tang Benrui , Wang Yajing , Wu Jinyu
Published: June 2024

The structure of graphene itself endows it with a variety of superior properties, and its surface functional modification has found wider applications in various fields. In this article, propose a simple surface modification method by applying a self-assembled FDTS monomolecular layer on the graphene surface via spin coating, which successfully changes the magnitude of its contact angle and thus affects the electrical properties. The electrical conductivity of the modified structures was then evaluated at different reaction times using a four-probe method. The introduction of this self-assembled monomolecular layer significantly reduced the original surface energy and lowered the average resistance for single-digit values. Combining this enhanced modified molecular layer with graphene successfully improves the electrical conductivity of this compound and the level of carrier mobility reaches the same level as that obtained by mechanical tearing. This surface engineering technique opens up new possibilities for the development of graphene-based electronic devices.
Navigating Pedagogical Self Efficacy in Attaining Curriculum Leadership in Kindergarten Teacher
Authors: Lin Donghong
Published: June 2024

The eighth basic education reform has made the curriculum more adaptable, and schools and kindergartens also have the right and responsibility to develop curriculum.The curriculum leadership of kindergarten teachers was the core of their leadership.This article delved into the impact of kindergarten teacher curriculum leadership on pedagogical self efficacy. Assessment of the respondents on their curriculum leadership components in kindergarten. Difference in assessment of the respondent on characteristics components of curriculum leadership in kindergarten. Assessment of kindergarten teachers’ pedagogical self-Efficacy. Explored the correlations between the assessments of kindergarten teachers’ curriculum leadership and the assessments of teachers’ pedagogical self-Efficacy. This article also discussed the potential ethical considerations in the curriculum leadership and pedagogical self efficacy of kindergarten teachers, such as data privacy concerns, algorithmic biases, and the digital divide. Finally, proposed the appropriate strategies to improve the kindergarten teachers’ curriculum leadership and pedagogical self efficacy. Through these analyses, will attract future researchers to pay attention to the curriculum leadership and pedagogical self efficacy of kindergarten teachers, and enable more and more people to recognize the actual teaching work of kindergarten teachers. Helping to improve teachers' curriculum leadership and pedagogical self efficacy, helping them effectively achieve teaching goals, and then subtly influencing the leadership work of others or themselves, ultimately forming a curriculum learning community through equal cooperation, and developing teachers' curriculum decision-making ability
Research on Tennis Match Strategies Based on Machine Learning and Markov Chain Modeling
Authors: Lv Yinghui
Published: June 2024

This paper mainly studies the influence of athletes' performance on the results of sports competitions, and uses advanced data analysis and machine learning technology to predict the players' scoring patterns in tennis matches. Firstly, the Markov chain model is used to capture match points and game flow. In order to quantify player performance, the concept of momentum is introduced. The random forest model based on factor analysis optimization studies the factors affecting player performance. Secondly, the random forest model optimized by firefly algorithm is used to select the factors that may affect the competition, identify the important factors and data that affect the fluctuation of the competition, and realize the prediction. This study provides an advanced perspective on sports analytics, providing actionable insights for athletes and coaches to refine their strategies and gain a competitive edge, while also providing lessons for the development of sports analytics and data-driven decision making.
Impact of Physical Education Informatization on the Physical Fitness of College Students in Guangdong, China
Authors: Chen Ye
Published: June 2024

The development of college students' physical fitness has become an area of great concern in Chinese university physical education. This study aims to explore the effects of physical education teaching informatization on college students' physical fitness through quasi-experimental research methods. Through the introduction of informatization teaching methods in university physical education courses, a more effective learning and teaching process can be achieved. In this study, 15 freshmen from Guangzhou Software College were selected as respondents, and relying on the Internet, an eight-week informatized physical education teaching was carried out using video instruction, AI interaction, AR simulation, and Internet platform push. The pre-test and post-test of physical fitness of the respondents at various stages before and after the intervention of informatization technology were conducted by Chinese college students' physical fitness test standards, and the learning experience of the respondents in physical education class was investigated by questionnaire survey method, and then the measured results were statistically counted and analyzed by statistical methods. The results of the study showed that the physical fitness levels of the respondents after receiving the 8-week informationalized physical education intervention were improved to different degrees compared to the pre-intervention level. In addition, the results of the questionnaire about the participants' learning experience showed that the informatized teaching could stimulate the respondents' interest in learning, increase the intensity and frequency of exercise, and cultivate the habit of exercise, and that the students were more actively involved in the classroom activities in the informatized teaching environment, formed a closer cooperative relationship with their peers, and enhanced the learning experience. Therefore, this study preliminarily verified the positive impact of physical education teaching informatization on college students' physical fitness. It is suggested that more informatized teaching means should be gradually introduced into university physical education teaching to promote the overall development of students and improve the level of physical fitness. Future studies can further explore in depth the applicability of informatization teaching in different physical education courses and different disciplines to provide more scientific guidance for university physical education teaching.
Yoga in Schools: Self-Care for Administrators and Teachers
Authors: Yu Lirong
Published: June 2024

Since early 20th century, yoga is applied as a therapeutic intervention to provide various psychophysiological benefits. It has been positioned as an effective tool to combat compassion fatigue of professionals. School based yoga is usually integrated in Physical Education curriculum or department. Yoga’s development in China has become the prevalent fitness choice founded by imported knowledge and traditional interpretation of body technique. School administrators can equally have emotional concerns, similar internal struggles and external conflicts with others but minimal literature on self-care is studied about them. The purpose of this study was to assess the yoga in schools and examine the self-care of administrators and supervisors. This study was anchored on Mindful-Based Supervision Framework by Haberlin (2020) which involves Mindful walking, Deep listening, Mindful notetaking, and Meditation. The latter was the focus of the study that uses yoga to achieve self-care among school administrators in China. The study involved mostly male respondents between 31-36 years old with permanent employment as teachers who served as administrators or supervisors for one year. Using quantitative descriptive correlational design, respondents agreed in all attributes in yoga in school such as objectives, content, and impact and occasionally practiced all attributes of self-care in terms of physical, psychological, emotional, spiritual, and balanced self-care practices. To strengthen and intensify the yoga program for teachers and school administrators, self-care strategies were recommended to be integrated as the output of the study.
Study on the assessment of illegal wildlife trade projects based on LSTM model and Monte Carlo simulation
Authors: Zhang Huijun , Jiang Yuhan , Zhu Shanpeng
Published: June 2024

The aim of this paper is to conduct an assessment study of illegal wildlife trade projects using LSTM models and Monte Carlo simulation techniques. Firstly, based on the data from 1994-2023, we predicted the number of illegal animal and plant trade in the next five years using LSTM model, and the results showed that although the number was on a decreasing trend, it was still high, indicating that the problem still needs to attract global attention. Subsequently, we used the Kendall correlation coefficient to analyse the relationship between the number of illegal trade counts and economic, environmental and climate indicators, and found a positive correlation with the economic losses from natural disasters and the number of extreme weather events. Finally, we identified seven key parameters affecting project success and simulated the posterior distributions of these parameters using the Markov Chain Monte Carlo method, and then conducted Monte Carlo simulations to estimate the probability of project success as 93.12%. Sensitivity analyses indicate that project success is most sensitive to the level of financial support and monitoring technology. Overall, using a data-driven approach, this paper provides an important reference for assessing illegal wildlife trade projects.
Study on the Heterogeneity and Regulatory Effects of Financial Development and Technological Innovation on Carbon Emission Reduction
Authors: Song Yanrong
Published: June 2024

Based on provincial panel data from 2008 to 2017 as the research sample in China, this study examines the impact of financial development on carbon emissions. Regression models are employed to estimate the influence of financial development on carbon emissions in different regions. The research reveals that the level of carbon emissions is influenced by differentiation and heterogeneity, with different regions showing varying sensitivities to factors such as financial development, technological innovation, and industrial structure. Financial efficiency has a negative impact on carbon emissions, being positive in regions with low carbon emissions. In areas with higher carbon emissions, the impact of financial efficiency on carbon emissions is greater. Industrial structure has a negative impact on carbon emissions, and in regions with lower carbon emissions, the upgrading of industrial structure has a greater impact on carbon reduction. Technological innovation has a negative impact on carbon emissions in regions with medium to high levels of emissions, while its impact in low-emission areas is positive but not significant. Per capita GDP, energy structure, and urbanization level overall have a positive impact, while foreign investment has a negative impact. The introduction of technological innovation as a moderating variable significantly enhances the significance level of financial efficiency.
Study On Electrolyte of Low Temperature Zinc-Ion Batteries
Authors: Yang Wenhao
Published: June 2024

With the development of science and technology, now the comprehensive use of electronic equipment, has led to the increasing demand for energy storage systems. The market requires high-performance energy storage systems, zinc-ion batteries have the merits of good energy storage performance, low cost, and high safety, thus arousing extensive attention. Because of the diversity of the environment on the earth, the aqueous zinc ion batteries should meet the requirement of sustainability and feasibility working in wide temperature environments. How to ensure that zinc-ion batteries can work in such a harsh environment has become a research topic nowadays. As the ambient temperature decreases, the energy storage performance decays, including greatly reduced cycling life, increased resistance, and inferior charge/discharge performance. Especially below zero, the electrolyte may be frozen. Therefore, the application of aqueous zinc-ion batteries in these low-temperature environments has become a further research direction. To enhance the low-temperature performance of zinc-ion batteries, many strategies have been developed, such as improving the performance of the positive and negative electrodes, optimizing the electrolyte material, and developing separators. Among them, optimizing the electrolyte is the most effective strategy. Electrolyte is an important part of the battery, which contacts with the positive and negative stages of the battery and produces chemical reactions to produce electricity. In the process of charge and discharge, the electrolyte is mainly used for mass transportation, so the electrolyte is particularly important for enhancing low-temperature performance for zinc-ion batteries. Correspondingly, many researchers focus on designing and synthesizing advanced electrolytes. This paper summarizes the state-of-art development of low-temperature zinc-ion batteries domestically and internationally and classifies and analyzes the solid, liquid, and gel electrolytes.
Enhancing UCB-tuned and Asymptotically Optimal UCB Algorithms through Weighted Average Techniques in Multi-Armed Bandit Scenarios
Authors: Qu Chang
Published: June 2024

This paper delves into the complexities of the Multi-Armed Bandit (MAB) problem, a fundamental concept in reinforcement learning and probability theory, with a focus on its application in recommendation systems and dynamic fields such as dynamic pricing and investment. It begins by shedding light on the essential paradox at the heart of the MAB problem – the balance between exploration and exploitation within limited parameters. The study primarily centers on Upper Confidence Bound (UCB) policies, especially UCB-tuned and Asymptotically Optimal UCB, noted for their adept balance between exploration and utilization. The novel contribution of this research is the enhancement of these UCB policies via an innovative weighted average method, leading to the development of WA-UCB-tuned and WA Asymptotically Optimal UCB algorithms. The research rigorously compares these optimized iterations with traditional UCB1, UCB-tuned, and Asymptotically Optimal UCB across varied MAB models featuring different numbers of arms. This study provides an exhaustive introduction to the MAB problem and pertinent UCB policies, the methodology behind the weighted average optimization, extensive experimental analysis, and comprehensive evaluations of the findings. The results showcase marked improvements in algorithmic performance, suggesting significant advancements in the domain of recommendation systems and other applications of the MAB problem.
Progress Of Low-Temperature Carbonization of Cellulose as Anode Material for Sodium-Ion Batteries
Authors: Guo Hongqiang
Published: June 2024

With the increasingly serious environmental issues brought by the use of conventional fossil energy sources, and under the idea of "carbon peak and carbon neutral" put forward by China, it has been a global consensus to drive the transition of the energy consumption framework from conventional fossil energy sources to low-carbon, clean reproducible energy sources, and associated energy preservation technologies. So far, secondary battery systems as stable and efficient clean energy storage have been the focus of attention, and the most important energy storage devices are lithium-ion batteries (LIBs) and sodium-ion batteries (SIBs), which are also potential battery systems under recent research. Nevertheless, the scarcity and grossly uneven allocation of lithium resources as well as the security problems of lithium batteries have limited the further growth of LIBs. Due to these problems, the scientific community has been back to sodium-ion battery studies. By comparing with lithium-ion batteries, sodium resources for sodium-ion batteries are cheaper, richer, and safer, so the social demand for sodium-ion batteries continues to increase, but the larger the ionic radius of sodium ions, the poorer the reversible capacity, the shorter the life span and other problems still exist, and the development of high-performance anode materials is an effective method to solve the core problems of sodium-ion batteries, cellulose-based hard carbon materials have a green preparation process, favorable ion Cellulose-based hard carbon material is a potential anode material for sodium-ion batteries with the green preparation process, beneficial ion transport channel and special porous framework.
A study of factors affecting the physical health of urban residents based on Pearson's correlation analysis
Authors: Cai Yuqi
Published: June 2024

Over the years, the prevalence of chronic diseases has continued to rise in China, posing a great threat to people's health. In order to better understand the prevalence of chronic diseases and the factors affecting them, according to the Dietary Guidelines for Chinese Residents issued by the Chinese Nutrition Society, combined with the data from the Epidemiological Questionnaire on Chronic Non-Communicable Diseases and their Associated Factors, we used stratified sampling to select samples from people in different regions, ages and genders, and applied person correlation analysis and neural network analysis to construct a standardized healthy life evaluation model and a chronic disease-related degree model. methods, and constructed a standardized healthy life evaluation model and a chronic disease-related degree model. The degree of influence of living habits and dietary habits on physical health was analyzed, and the correlation between diet, living habits, age, gender, marital status, education level, occupation and other factors and the prevalence of chronic diseases was studied. Through modeling analysis, the risk of chronic diseases can be more accurately assessed, providing a scientific basis for prevention and treatment. Through the implementation of these recommendations, people can effectively reduce the risk of chronic diseases and improve the quality of life.
Research on Internal Control Issues of Monetary Funds in Enterprises
Authors: Chen Yuting , Chen Zixi
Published: June 2024

In enterprises, monetary funds represent the most liquid yet the riskiest type of asset. Therefore, the effectiveness of the internal control system for monetary funds and their proper utilization are crucial for the normal operation of business management activities. This is also vital for enhancing the levels of capital management and financial management within the enterprise, ensuring that production activities proceed efficiently and orderly. This paper employs literature review, field investigation, and summarization methods to analyze and study the internal control of monetary funds in Company A. The results indicate that the company has several deficiencies in its internal control system for monetary funds. The causes of these issues are analyzed, and several countermeasures are proposed. These countermeasures provide valuable references for the improvement of the company's internal control system for monetary funds.
Impact of Climate Change on Marine Coral Reef Communities
Authors: Lin Yubing
Published: June 2024

In recent years, the phenomenon of climate change has intensified globally, which includes but is not limited to, global warming, extreme weather events, and changes in climate patterns. This has raised concerns among environmental organizations about the future of the global ecosystem. This paper focuses on the effects of climate change on marine coral reef communities and based on experimental data, literature information, and existing datasets to develop mathematical models to analyze the effects of global warming, ocean acidification, sea level rise, and ocean storms on coral bleaching, reef calcification, and other issues. The scientists documented the changes in coral reef status through regular monitoring and conducted laboratory studies to simulate the growth, bleaching, and survival of coral reefs under different climatic conditions, such as changes in water temperature and Pondus Hydrogenii (PH). Satellite imagery is used to understand the global distribution of coral reefs, their coverage, and changes in biodiversity.
Research and application of commodity demand forecasting algorithm based on improved ARIMA-LSTM
Authors: Zhang Jingqi
Published: June 2024

Through thorough investigation and research, it has been determined that commodities possess a certain degree of timeliness, with long production cycles and short storage times. Accurately predicting customer demand can effectively reduce costs. This paper proposes an improved model based on ARIMA-LSTM, incorporating data cross-correlation analysis for effective data classification. By leveraging the unique characteristics of both ARIMA and LSTM prediction time series models, the data is divided into stationary and non-stationary models for accurate forecasting of future demand for goods. After rigorous testing on the test set, our proposed model achieved impressive results with an accuracy rate of 0.855, precision rate of 0.834, and recall rate of 0.854 respectively. Therefore, the model proposed in this paper has a good performance in forecasting the sales volume of general commodities with time series.
Interconnection and Autonomous Driving: Concepts, Development process and Applications
Authors: Sun Zhicong
Published: June 2024

This paper provides an in-depth discussion on the concepts, development process, applications and integration of interconnection technology and autonomous driving technology. Through a comprehensive introduction to these two technologies, it reveals their positive impacts in the field of transportation and analyzes the advantages of their integration. As a technology which can connect various domains, interconnection has become a transformative force. Its implications are far-reaching, which impacts not only the digital field, but also the transportation field. Concurrently, autonomous driving technology, which dedicates to enabling vehicles to move without human intervention, is representing the future of efficient and safe transportation. In the parts of the integration of these two technologies, this paper introduces its positive impacts on driving efficiency, traffic management, and safety. However, challenges such as privacy concerns and cybersecurity threats are existed, too. Finally, some possible solutions to these issues are concluded and the future of interconnection and autonomous driving technology is anticipated.
Preface: 6th International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2024)
Authors: Jiang Yuqing , Cromwell Augus
Published: June 2024

2024 6th International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2024) was successfully held from March 16-17, 2024 in Rio, Brazil. The conference invited scholars and experts in the fields of materials science, mechanical automation, mechatronics, electrical engineering, and energy engineering from various universities and institutes, to participate in the review and guidance of this conference.MSMEE 2024 focuses on the latest research fields and aims to provide an international cooperation and exchange platform for experts, scholars and business managers to share their research achievements, discuss the key challenges and research directions, and jointly promote the industrialization cooperation and continuous innovation of international academic achievements. This collection of proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the special committee. The format of questioning and discussion was that after each author’s introduction, the conference chairman and committee members asked and answered questions.The organizing and editorial committee of the MSMEE 2024 hopes you enjoy the reading of this volume. Besides, we wish to thank all authors and participants for providing their valuable contributions for this proceeding as well as the reviewers for their constructive recommendations and criticism aiding to improve the presented articles. We are confident that this issue will serve as a reference for experts, scholars, and enterprise managers. With best regards,MSMEE Technical Program CommitteesRio, Brazil
Analysis and Enlightenment of Blind Box Culture "Go Viral"
Authors: Zhang Shuyi
Published: June 2024

In recent years, "Blind Box Consumption" has set off waves in China. Blind box products quickly occupy the vast market and become a hot topic of public discussion. Behind the blind box trend of the blind box is the localized development of Japanese tide play in China, from which we can get a glimpse of China's popular consumption model and consumer mentality. The paper mainly analyzes the cultural characteristics and current situation of blind boxes from the following three aspects: The reason for the "explosion" of blind boxes in China; Consumer psychology and behavior analysis and the potential harm of blind box consumption. It is found that the blind box, as a new consumption model, brings short and varied emotional experiences to consumers. At the same time, the uncertainty of blind box products increases the repurchase rate of customers, allowing consumers to form emotional dependence during the purchase process, thus achieving the effect of "addiction", resulting in addictive spending beyond the consumption budget. Therefore, the development of the blind box industry urgently needs the government departments to refine and improve the industry laws and regulations, and the regulatory authorities need to supervise the merchants and establish a perfect after-sales service mechanism. Consumers should also be accomplished with open eyes, understand the publicity mode and potential harm behind the blind box, and establish a scientific and rational consumption concept.
Sports Teaching Environment Affecting Academic Transition among Retired Athletes in Anhui, province, China
Authors: Xia Xuehao
Published: June 2024

Retired athletes are an important guarantee force for college physical education teacher resources. This study uses literature, questionnaire and mathematical statistics as research methods, and takes retired athletes teachers in colleges and universities in Anhui province as research objects, aiming at studying the physical education teaching environment of retired athletes' academic transformation. In view of the problems existing in reality, the suggestions are as follows:(1)Improve policies and institutions, and improve the multi-level security system (2)Strengthen career planning and cultivate self-awareness.(3)Strengthen scientific research literacy and widely use resources to achieve growth.(4) Improve the development mechanism of teachers' teaching ability and mobilize teachers' enthusiasm for self-improvement.(5)Construct incentive mechanism for professional ability development and improve promotion system.(6) Strengthen re-education and training system to improve teaching ability.
The Impact of Cultural Differences on Mergers and Acquisitions: A Comparative Analysis through Case Studies
Authors: Su Zhijin
Published: June 2024

Against the background of rapid economic growth and the prevailing global trend of cultural fusion, the landscape of mergers and acquisitions (M&As) is rife with cross-border and cross-cultural transactions. This paper delves into the profound impact of cultural disparities on M&As in the context of the ever-accelerating globalized economy. It does so by conducting a comparative analysis of various cross-cultural M&A cases, with a primary focus on dissecting instances of M&A failures resulting from cultural divergences. This paper also offers a balanced perspective by incorporating a case study of a successful M&A that navigated significant cultural diversity. Through these analyses, it seeks to unearth valuable insights for both scholars and practitioners. This paper not only presents potential solutions for managing cultural challenges but also scrutinizes the hurdles that arise from integrating diverse cultures in cross-cultural M&As. The findings contribute to a nuanced understanding of the intricacies involved in M&A transactions in an increasingly interconnected world.
Several Thoughts on the Protection of the Legitimate Rights and Interests of College Teachers under the Appointment System
Authors: Peng Jinling , Zhang Zhiliang
Published: June 2024

This paper focuses on the protection of the legitimate rights and interests of university teachers under the appointment system. By analyzing the existing issues in the protection of the legitimate rights and interests of university teachers under the appointment system, several considerations regarding the protection of the legitimate rights and interests of university teachers are proposed. Currently, there are problems such as insufficient attention to the protection of university teachers' rights in China, slow updates of laws, and insufficient coordination among relevant parties. There are shortcomings in the protection of university teachers' rights by universities, educational administrative authorities, social organizations, and judicial organs. Drawing lessons from advanced practices in other countries and regions, this article proposes several suggestions based on the current situation in China, focusing on the legal relationship between universities and teachers, legal status, position allocation, teacher initiative, and teacher appointment procedures. These suggestions aim to explore feasible solutions for improving the system of protecting the rights and interests of university teachers under the appointment system while maximizing the protection of teachers' rights.
LSTM-Based Time Series Prediction and Optimization of Replenishment Pricing Model
Authors: Wang Yifan , Meng Lanyi , Liu Zonghan
Published: June 2024

Historical sales data play a significant role in the formulation of future replenishment and pricing schemes. In this paper, on the one hand, the correlation relationship between the sales volume of various categories and individual vegetables is investigated by data visualization and calculation of correlation coefficients in different time dimensions, and their "complementary" or "synchronous" relationships are obtained; on the other hand, a more reasonable vegetable replenishment volume and pricing scheme are predicted and obtained through the LSTM time-series prediction model and linear programming model, which are both accurate and accurate at the same time. On the other hand, the LSTM time series prediction model and linear programming model are used to predict and obtain a more reasonable total vegetable replenishment and pricing scheme, which is accurate and flexible at the same time.
Analysis of Motivation in My English Learning Experience
Authors: Zhang Yuting
Published: June 2024

In recent decades, China has witnessed great developments in its economy, intercultural communication, and English education. English was a compulsory course taught in secondary schools and first two years of universities as a foreign language in most places. The large number of English learners leads to many sophisticated researches focusing on English education in China. Motivation is an essential factor in mastering a second language. This essay aims to investigate the motivation in my 13 years’ English learning and its influences on my actual learning process, and thus promote English education in China. Dörnyei’s L2 Motivational Self System was chosen as a guided theory since it combines a lot of important theoretical L2 approaches and elaborated motivation in a rather comprehensive way. In this essay, I will first briefly discuss the concept of L2 Motivational Self System. Then, I will analyse how the motivations affect my learning process with the guidance of L2 Motivation Self System. Finally, I will explore the effective application of this theory in teaching English to Chinese speakers.
The Effect of Short Video Advertisements on Consumers' Purchase Intention
Authors: Gao Yiheng , Wu Shanmingyue
Published: June 2024

With the rapid development of the Internet, short video advertisements, a new way of selling has appeared in the public's view. Some researchers have found that under this short video marketing mode, short video advertisements have a certain influence on consumers' purchase intention, however, the formation mechanism and influence range behind it still lack a unified explanation. This paper collects data is based on a social platform questionnaire published between November 20 and November 21, 2023, and uses the AIDA model to analyze the data and then investigate the relationship between short video ads and consumers' purchase intention. The research in this paper found that consumers more favor products with novel content, high cost-effectiveness and good reputation through short-video delivery, and consumers are more willing to pay for publicity; while the over-exaggerated publicity, clichéd content and too long time of short-video advertisements will have a negative impact on consumers' willingness to buy.
Research on vegetable pricing and replenishment based on value loss pricing and ARIMA model
Authors: Liu Yuxin , Ni Ke
Published: June 2024

Due to their short shelf life and difficulty in preservation, the sales strategy of vegetable products is closely related to the profits of merchants. This article studies the pricing and replenishment strategies of vegetable products in supermarkets. By analyzing the monthly changes and annual proportions of sales for each category, it was found that the sales of anthophyllum were the highest, while those of cauliflower were the lowest. The richness of products is positively correlated with total sales volume, and some categories have overlapping sales peaks. Introducing the Shannon Diversity Index to analyze the distribution pattern of sales volume. Establish an ARIMA time series model to predict sales for the next week and develop a daily replenishment strategy. Build a pricing model based on value loss and optimize the strategy using tail pricing method. At the same time, in order to maximize the benefits of supermarkets, a dual shelf model is established to implement promotional pricing for products with reduced freshness.
ChatGPT in Higher Education: Towards the Future of Technology-Facilitated Learning
Authors: Chen Quan , Li Yahua , Qiu Junrui , Yan Meining
Published: June 2024

The world is gradually transitioning to an intelligent digital age these days, and ChatGPT’s artificial intelligence is always improving. Through extensive textual data analysis, ChatGPT is able to produce natural language, respond to a range of queries, and deliver pertinent information. With its robust features, ChatGPT is currently being used extensively in the field of technology for chatbots, virtual assistants, automated response systems, and other applications. It has also been utilized extensively in higher education. ChatGPT has been instrumental in advancing the digital transformation of education in schools. It gained prominence in the field of education and garnered significant interest from the academic community. It also presents opportunities and some problems to the higher education sector at the same time. Based on this, the application of ChatGPT in higher education is used in this article to contextualize the trend of educational digitization. It then goes on to explore the obstacles, opportunities for future development, and appropriate actions that ChatGPT is now facing in higher education. It looks at a variety of topics, including instructional modalities, fields, and objects, and offers advice on how to incorporate ChatGPT into currently available educational materials to increase student learning effectiveness. There is a certain reference value and relevance to this kind of digital education.
Rural waste management enabled by digital technology: A Case Study of Wucheng District, Jinhua City
Authors: Zhou Shixu
Published: June 2024

With the in-depth implementation of China’s rural revitalization strategy, rural governance has become one of the key issues for sustainable development. Through the analysis of smart waste management practice case and combined with the theory of collaborative governance, it reveals the importance of digital technology in the synergy among government, villagers, and enterprises. Meanwhile, by comparing the traditional governance model with the rural governance model empowered by digital technology, it analyzes the promoting role and challenges faced by digital technology in rural waste management, providing theoretical and practical guidance for the modernization development of China’s rural waste management.
Spatial Analysis and Prediction of Ecological Welfare Performance: Evidence from 284 Prefecture-level Cities in China
Authors: Wang Linxinyu
Published: June 2024

The general debate of the 78th session of the United Nations reaffirmed the importance of the Sustainable Urban and Community Development Goal (SDG 11), however, the pervasive accounting gaps still lead to significant challenges in the monitoring and evaluation of SDG 11 indicators. This paper focuses on ecological welfare performance accounting, aiming to assess the weaknesses and internal gaps of regional SDG 11 at the aggregate level, so as to promote eco-city planning and management, improve the well-being potential of urban residents, and reduce the adverse impact on the ecological environment. Taking China as a developing country as a case, the two-stage DEA model is used to measure the ecological welfare performance of 284 cities in China from 2007 to 2022, and the spatiotemporal pattern of efficiency at each stage of the ecological welfare transformation process is described, a modified gravitational model is constructed to transform the "attribute data" of ecological welfare performance into "relationship data", and the characteristics of network structure are described with the help of social network analysis, and the formation mechanism of the spatial correlation network of ecological welfare performance is revealed and its dynamic evolution characteristics are revealed through the spatial Markov chain.
A Study on the Revival and Abolition of the Imperial Examination System Based on the Response of Shanxi Common People (1894-1915)
Authors: Wang Xinyu
Published: June 2024

In the late Qing Dynasty and early Republic of China, due to factors such as famine, conflict between religious believers, and collusion between officials and businessmen in Shanxi, common people accepted passively and resisted inwardly the abolition of imperial examinations and the rise of western-style schools. This article outlines the changing process of common people’s attitudes in Shanxi divided into three stages. In the early period, common people generally accepted the imperial examination system, while in the middle period, their attitudes towards the reform of the examination system and the promotion of new learning gradually diverged. In the later period, common people exhibited a clear polarization in their attitudes towards the abolition of the imperial examination system and the promotion of new learning. Through the analysis from a Western perspective, this article argues that the contradictory reactions of the common people are due to the cognitive dissonance in rural societies during institutional reforms. However, the internal motivations behind their actions and their attitudes were remain highly aligned.
Machine Learning and Statistical Methods for Predicting Survival of Patients with Heart Failure
Authors: Jia Lingjie
Published: June 2024

Heart failure is a branch of heart disease, which causes millions of people to die worldwide. This research is an investigation of survival prediction of patients with heart failure. The type of this prediction is a binary classification problem. The machine learning models used in this paper are logistic regression, decision trees, random forests, support vector machines, and artificial neural networks. The methods for evaluating the performance of prediction models are k-fold and stratified k-fold cross-validation. The results of 2 cross-validation indicate that logistic regression has the best performance. In addition, according to the feature ranking method in the literature, it can be observed that the prediction of heart failure mainly relies on serum creatinine, ejection fraction, and follow-up time. The conclusion is that the logistic regression, which only involves features: serum creatinine, ejection fraction, and follow-up time, is well suited for predicting the survival of patients with heart failure.