bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of After-School Physical Education Activites on the Promotion Holistic Well-Being of Non-Physical Education Majors
Authors: Zhang Qian
Published: June 2024

The impact of after-school physical education activities on the promotion holistic well-being of non-physical education majors, Background to the start, followed by a review of the existing literature, point out the current gap, came up with, the impact of after-school physical education activities on the promotion holistic well-being of non-physical education majors, Influence the theoretical framework and the research paradigm. Problem statements and hypotheses clarify the focus of the study, while importance illustrates its potential impact. In this study, literature review, interviews, questionnaires, mathematical statistics and logic analysis were used, To the impact of after-school physical education activities on the promotion holistic well-being of non-physical education majors in Huangshan City, the teachers and students of Huangshan University were selected as the survey objects, Exploring the impact of after-school physical activity on overall health promotion in non-sports majors, The challenge of facing the construction. Finally, the development direction is put forward. It aims to provide theoretical and practical references for the impact of after-school physical activity on overall health promotion in non-sports majors. This is followed by a review of the existing literature, pointing out the current gaps. Problem statements and hypotheses clarify the focus of the study, while importance illustrates its potential impact, The impact of after-school physical education activities on the promotion holistic well-being of non-physical education majors The challenges faced in the construction, and finally put forward the development direction. Be aimed at: be conducted to the impact of after-school physical education activities on the promotion holistic well-being of non-physical education majors The reform provides both theoretical and practical reference. This project first develops a teacher interview outline and a student questionnaire, both of which are collected face-to-face. The questionnaire is distributed and collected on-site to ensure a high response rate. Then analyze the collected data, study the relationships between various factors, and propose targeted development paths. The impact of after-school physical education activities on the promotion holistic well-being of non-physical education majors the challenges faced in the construction, and finally put forward the development direction. Be aimed at be conducted to the impact of after-school physical education activities on the promotion holistic well-being of non-physical education majors. The reform provides both theoretical and practical reference.
Research on the Construction and Implementation Path of Curriculum Quality Evaluation System Under Blended Learning
Authors: He Meixuan , Macaranas Dorothy Joy D.
Published: June 2024

Under the background of “Internet +” era, blended learning, as a new teaching method, has become one of the main ways of teaching at all levels of education. The current offline curriculum quality evaluation system based on summative evaluation is no longer applicable. Guided by the relevant requirements of the Ministry of Education, combined with the school-running orientation and characteristics of independent colleges, this paper constructs a combinative evaluation system of internal evaluation + external evaluation, formative evaluation + summative evaluation for course. It exams the effectiveness through 2-terms teaching experiments. This course quality evaluation system is an optimization and upgrade of the traditional offline course quality evaluation system. It aims to provide theoretical and practical reference for the construction of the course quality evaluation system under the new situation.
Qingdao Modern Church Contrast and Analyzing Based on Religious Influences Perspective: Examples from Qingdao Catholic Church and Qingdao Christian Church
Authors: Guo Weiru
Published: June 2024

Qingdao, as a city with a colonial history, has numerous architectures that combine traditional Chinese architectural style and Western architectural style. One of the most distinctive types of architecture is the church. Churches have significant mental support functions as well as their function as shelters. They are symbols of the city, and valuable for the city to present its architectural scene. This article wishes to state the backgrounds and history of Catholicism and Protestantism; compare the differences in external spaces, internal spaces, decorations, and volume of Qingdao catholic church and Qingdao Christian church to analyze the architectural differences based on different religious backgrounds; emphasize the characteristics and connotations for churches. Studying church architecture can reveal the creativity and technical proficiency of ancient architects and craftsmen. Church architecture encompasses knowledge and skills from various fields, including structural engineering, sculpture, painting, and decoration. Such research contributes to the advancement of architectural design and engineering technology. Church architecture is a reflection of human creativity and cultural traditions, and it holds significant importance for the study and preservation of cultural heritage.
Evolution Law of Frost Resistance of Fly Ash Concrete based on Large Temperature Difference between Freezing and Thawing Environment
Authors: Yan Minghui
Published: June 2024

In order to study the deterioration and damage process of fly ash concrete under the condition of freeze-thaw cycle with large temperature difference, we take the Ruoqiang area in Xinjiang, China as the research background (temperature difference: -23.3℃~43.1℃), study the dynamic evolution process of corrosion resistance coefficients of the concrete specimens with fly ash dosage of 0, 10%, 20%, and 30%, and analyse the law of frost resistance decay of fly ash under the environment of freeze-thaw with large temperature difference; the results show that the addition of The results show that: adding 10%~20% of fly ash in concrete can slow down the deterioration of concrete frost resistance, and the frost resistance of concrete is the best under 20% of fly ash dosage.
The Interaction Mechanism of Real Estate Market of Typical Cities in China: Analysis Based on VAR Model
Authors: Tang Jiahao
Published: June 2024

As an important part of the national economy, the real estate market is closely related to macro policies, investor confidence, etc., and at the same time shows regional heterogeneity. This study explores the real estate market in four typical cities in China (Beijing, Xi'an, Xiamen, and Chengdu) and analyzes the correlation between real estate prices, sales area, real estate development investment, market investor confidence, and money supply. Through analysis based on the VAR model, it is found that the real estate markets in different cities present their own specific interactive influence patterns. The various factors in Beijing are more closely related and have a continuous impact; other cities have similar characteristics, and the impact of each factor is somewhat different. Therefore, when formulating real estate macro-management policies, it is necessary to consider the market characteristics of different cities and the comprehensive impact of external factors to formulate more targeted strategies and mitigate the potential impact of market fluctuations on the economy.
Applications of MOFs-Derived Materials in Lithium-Ion Batteries and Sodium-Ion Batteries
Authors: Wang Shouyi
Published: June 2024

Recently, the energy storage system is a popular and widely used system all over the world. It has 5 types of energy storage systems in this paper, and the major topic is the battery energy storage system, including lithium-ion battery (LIB) and sodium-ion battery (SIB). Metal-organic frameworks (MOFs) is widely used in many areas, such as battery design. Thus, for better understanding how MOFs-derived materials are synthesized and what area MOFs-derived materials does increase the performance of LIBs and SIBs, three materials are selected, including Co3O4 hollow dodecahedrons, LiCoO2@C, and amorphous carbon nitride. Synthetic procedures of both MOFs and MOFs-derived materials are detailly discussed. The performance and development of these three materials is measured by comparing their cycle number, efficiency, and specific energy with traditional LIBs and SIBs. In the end, the capability of being a large power supply system is also evaluated by comparing it with the solid gravitational energy storage system, which has high power rating and energy capacity.
Study on the Utilization of Electronic Files in the Context of Intelligent Courts
Authors: Lin Yanhong , Liu Nian , Zhao Jiayi
Published: June 2024

With the online litigation, intelligent justice in all parts of China's courts to fully promote the wisdom of the court is in an important stage of rapid development, the traditional paper file archiving has not been able to effectively adapt to the information age judicial reform to explore the practical needs of the courts around the world to explore the application of electronic files. The popularization and application of electronic file, not only the authenticity of the case file, the effectiveness of the new requirements, but also for the right to read the file and other rights of the exercise of the right to bring new challenges. Combined with an analysis of the current state of practice and problems in the use of electronic files, it promotes the formation of countermeasures and recommendations for solving problems related to the generation, management, transfer and access of electronic files.
From the Big Dipper to the Big Dipper Navigation
Authors: Gao Jiawei
Published: June 2024

As a student of surveying and mapping, I was also very interested in this seminar and actively enrolled in Academician Yang's lecture. After the lecture, I learned a lot of things I had never heard of before, and had a deeper understanding of the historical process and future development of the surveying and mapping industry. Similarly, I analyzed the differences between the current Beidou navigation system and other navigation systems from the international level. I have a deeper understanding of professional knowledge. Next, I will conclude this paper by watching this lecture and generating my own new knowledge and ideas.
Research on the Impact of Digital Transformation on the Capital Labor Ratio of Enterprises
Authors: Hu Yuan , Chen Jin
Published: June 2024

Having a good capital labor ratio is beneficial for improving the production efficiency of enterprises. In the process of digital transformation, enterprises can capture and utilize data information more comprehensively and quickly through digital technology, helping them make reasonable capital labor investment decisions and thereby affecting the capital labor ratio of enterprises. This study focuses on all A-share listed companies in China from 2010 to 2020 to verify the inherent logical relationship between digital transformation and capital labor ratio. Empirical research is conducted to demonstrate whether digital transformation has a significant impact on capital labor ratio, and the conclusions of the problem are summarized. Based on the conclusions, policy opinions are proposed at the government and enterprise levels.
The Air Quality of Xi’an City Studied by Hurst Index
Authors: Song Qingying
Published: June 2024

Air quality is related to people's health, and in today's rapid development of industry, the research of air quality is more and more important. The author selected two pollutants that can represent air quality, sulfur dioxide and particulate matter 10, and used the R/S analysis method in the time series to study the monthly data of these two pollutants in Xi City from August 2018 to August 2022, and found that the regular changes of these two pollutant indices on the time scale, that is, the natural year is generally used as a cycle. The previous pollutant index has a continuous impact on the future pollutant index. Finally, based on the unique geographical location of Xi in the Guanzhong Plain, the possible reasons for the change in pollutant index were speculated. It is hoped that this article will be helpful for the prevention and control of air quality in Xi'an in the future.
Research on Commercial Development and Investment Trends of ChatGPT
Authors: Lu Zeyi
Published: June 2024

In recent years, conversational artificial intelligence - ChatGPT's development speed is very rapid, whether at home or abroad has set off a trend, more and more people enjoy the convenience it brings, it can be seen that artificial intelligence has become one of the inevitable trends of future development, and the future life is closely related. Many companies and individuals have keenly sensed its commercial value and huge development potential, and have launched relevant research on it, hoping to have a foothold in the future development of the flood and even become one of the leaders. The purpose of this paper is to study ChatGPT's related characteristics and unique advantages, as well as its role in human society and its manifestations in various fields, so as to help people have a clearer cognition of it and have a basic thinking prototype.
Time Series Analysis of Grains Commodity Futures Price Trends
Authors: Shao Yihao
Published: June 2024

This study delves into forecasting commodity price trends, explicitly utilizing the ETS and SARIMA models to analyze grains-Soybeans, Corn, Wheat and Soybean Meal. The research underscores the intrinsic seasonal and cyclical attributes of these commodities. While the ETS model provides initial predictions, it reveals limitations in accuracy. Subsequently, the SARIMA model, incorporating seasonal parameters, emerges as a more dependable predictor of price trends. The study emphasizes the significance of considering external factors, such as geopolitics and alterations in transport routes, especially concerning high-value commodities like soybeans. By enhancing forecast precision, the paper underscores the necessity for meticulous model selection, acknowledging the intricate dynamics of seasonal fluctuations in commodity futures prices. In conclusion, the SARIMA model stands out for its superior ability to capture and predict the nuances of seasonal patterns, providing valuable insights for investors and researchers navigating the complex landscape of commodity markets. Its comprehensive analysis of seasonal trends and precise forecasting capabilities make it a preferred choice for understanding and anticipating the complexities of commodity price movements.
Application Of Advanced Oxidation Process Based on Ozone in Water Treatment
Authors: Ma Qingyi
Published: June 2024

Wastewater treatment is an effective way to address water scarcity. Advanced oxidation processes (AOPs) are a wastewater treatment technology that is currently attracting a lot of attention, and it is a technology that uses physical or chemical pathways such as ozone, ultraviolet light, and the Fenton reaction to generate free radicals and then treats pathogens and organic pollutants by oxidation of the free radicals.Ozone is very strong oxidising agent and it has a powerful ability to break down wide range of organic and inorganic pollutants. However its usage in the wastewater treatment is still not very popular due to several drawbacks it posses, as it not possible to achieve the goal of wastewater treatment by ozone alone due to its mass transfer limitations, slow reaction rates, non specific for certain under low reaction rates pollutants select,may costs relatively higher thanother treatment processes etc. By combining ozone with H2O2, UV light, and catalysts, the efficiency of the wastewater treatment process will be increased because it will help make more hydroxyl radicals. This review discusses various ozone-based AOPs such as ozone/UV, ozone/hydrogen peroxide, and catalytic ozonation, focusing on their mechanisms and applications in wastewater treatment.
Current Pathogenesis and Treatment of Autoimmune Diseases
Authors: Huang Sirui
Published: June 2024

Nowadays, autoimmune diseases(AD) still torment many people and they always suffer from severe symptoms and complications. However, the pathogenesis of AD is still unclear and needs more research. Also, there are shortages of treatments which can totally cure AD. This research mainly focuses on current findings of possible pathogenesis and treatments for AD by discussing and analyzing two of most famous AD: rheumatoid arthritis and systemic lupus erythematosus (SLE). This essay discusses pathogenesis of RA and SLE from three aspects: genes, immune systems and environmental factors, and then concludes current medications and therapies as well as their drawbacks. This study finds that susceptible genes, abnormal immune responses and environmental stimulation can synergistically lead to autoimmune diseases, and existing treatments are mainly composed of symptomatic treatments and modifying treatments. But each medication has its inevitable side effects. Furthermore, more research should focus on systematic treatments with fewer drawbacks in order to truly cure AD.
Application and Performance Analysis of EVENODD in RAID Architecture
Authors: Tao Weiji
Published: June 2024

As storage systems are developed and used in different environments, people require more stable and reliable storage systems. As one of the main methods of storage system fault tolerance, EVENODD has received more and more attention. Compared with the traditional RS coding, EVENODD is completely based on the XOR operation, which is very important in the research of erasure correction. Firstly, the paper introduces the RAID architecture and the current typical and common erasure codes. Then, the possible prospects for using EVENODD and the coding implementation are described in detail. Besides, the paper compares the existing erasure codes from the perspective of encoding and decoding speed. Through the comparison and analysis, it is concluded that EVENODD has different degrees of defects in terms of fault tolerance and computational efficiency. How to improve the design of erasure codes with higher fault tolerance and computational efficiency based on EVENODD is an issue that deserves further research in the future.
Analysis of the Reasons for the Problems of Music Teaching in Chinese Universities
Authors: Feng Yu , Damdindorj Tsetsegdelger
Published: June 2024

The reasons for the problems of music teaching in Chinese colleges and universities are manifold. Firstly, the influence of education system and policy is an important factor. The current education examination system in China pays too much attention to scores and promotion rates, leading schools and teachers to pay more attention to exam-oriented education, and music education often becomes a neglected part. At the same time, the unbalanced distribution of educational resources also makes some colleges and universities with poor music teaching conditions and insufficient teachers to provide high-quality music education. Secondly, the backwardness of the concept of music education is also one of the causes of the problem. In addition, the imperfection of teacher training and selection mechanism is also one of the causes of the problem. At present, the training system for music teachers is not sound, and there is a lack of ways to train music teachers with comprehensive qualities. Meanwhile, the irrationality of the teacher evaluation mechanism also prevents some music teachers with professional skills from getting due recognition and incentives, which leads to the shortage of teachers.
Study on the Influencing Factors on the Effectiveness of Liquid Nitrogen Fracturing Technology
Authors: Wang Haifeng
Published: June 2024

Liquid nitrogen fracturing technology is a new fracturing and permeability enhancement technology for reservoirs unsuitable for hydraulic fracturing, and its ultralow temperature, high compression ratio, high freezing and expansion force, and low viscosity characteristics are expected to provide a program for fracturing and permeability enhancement in low-permeability reservoirs. The paper systematically analyzes the influencing factors restricting the effect of liquid nitrogen fracturing, aiming to provide theoretical basis and technical support for the efficient and environmentally friendly exploitation of low-permeability oil and gas fields.
A survey of research methods of automatic text summarization
Authors: Zhang Min , Luan Cuiju
Published: June 2024

This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. Automatic text summarization is an information compression technique that uses a computer to convert text or text collections into short summaries.  Recently, studies on automatically summarizing texts using different methods have developed rapidly. By combing the relevant documents at home and at abroad, various techniques and methods involved in the existing automatic text summary task, as well as the commonly used evaluation indicators, the advantages and disadvantages of the current automatic text summary task are summarized and the future research trends are discussed.
Advancements And Applications of Finfet Technology in Modern Semiconductor Engineering
Authors: Ye Runxin
Published: June 2024

This comprehensive study presents an in-depth analysis of Fin Field-Effect Transistor (FinFET) technology, a significant innovation in semiconductor technology, focusing on its structural attributes, applications, and future prospects. FinFETs, characterized by their distinctive fin-like channels, are pivotal in overcoming the limitations of traditional MOSFETs, particularly in the context of device miniaturization. The paper begins by exploring the basic theory and structural characteristics of FinFETs, emphasizing their enhanced control over short channel effects and reduced leakage currents in scaled-down devices. Attention is then directed towards the integration of FinFET technology in Static Random-Access Memory (SRAM), detailing how FinFETs contribute to improved stability and efficiency in memory storage. Another crucial application discussed is in the biomedical field, where FinFETs have facilitated the development of advanced instrumentation amplifiers and sensitive sensors, marking a leap in medical electronics. The paper concludes by addressing the challenges encountered by FinFETs as fabrication approaches the 5-7nm scale, including their physical and structural limitations. It also highlights ongoing research in structural modifications and material innovations like Gate-All-Around FETs and alternative materials, underscoring the continued evolution and relevance of FinFET technology in the ever-advancing semiconductor industry.
Exploring the Innovative Development of the Media Industry in the Digital Economy Era
Authors: Kong Yue
Published: June 2024

With the acceleration of the informatization process, the digital economy has gradually become a new engine driving economic growth. The media industry, serving as a bridge between information producers and consumers, faces new development opportunities. The widespread use of the internet has accelerated the digital innovation of the media industry, making content creation and dissemination more convenient. The application of artificial intelligence technology has endowed the media industry with new capabilities, further enhancing its competitiveness. At the same time, industry integration can expand the convenience of the media industry and, through cooperation with other industries, bring new growth points to the media sector. However, the media industry also faces a series of challenges in its development process. Continuously relying on traditional profit models will inevitably constrain the development of the media industry, making it difficult to meet the profit needs of media enterprises. Additionally, the increasing amount of user data poses challenges to ensuring data security. To address these issues adequately, it is essential to deepen technological innovation, strengthen copyright protection, innovate profit models, and gradually enhance the capacity for independent innovation, addressing market competition and technological change, and making a greater contribution to the cultural prosperity and economic development of society.
Performance Comparison and Analysis of RAID-6 Encoding and Scaling in Edge Computing Environments
Authors: Liu Zehao
Published: June 2024

In today's world where cloud computing is widely used, edge computing is starting to be used as a new type of data computing and management service. This paper first describes the importance of data reliability and storage fault tolerance for edge computing operating in multiple environments, and then focuses on RAID-6 to address the data storage requirements of edge computing. In this paper, the feasibility of RAID-6 for edge computing is discussed and two different RAID-6 coding algorithms are introduced. The better option for edge computing is explored through performance comparison. Among the two RAID-6 coding algorithms, it is considered that Row-Diagonal parity will be more suitable than EVENODD code for edge computing scenarios through comparison. But perhaps there are better coding algorithms with lower complexity that can again improve the performance of edge computing storage systems. An edge computing storage system using RAID-6 architecture would be very beneficial for a wide range of real-world application scenarios.
Coaching Behavior and Athletes’ Team Performance Toward an Optimal Coaching Framework for Maximizing Team Excellence
Authors: Rong Bo
Published: June 2024

The study of Coaching behavior and athlete team performance towards an optimal coaching framework for maximizing team excellence determines the level of awareness of team athletes based on the sports they value according to the coaching method of their coaches.The findings presented offer valuable insights into the differences in the assessment of coaching behavior among student-athletes based on various demographic and athletic profiles. Firstly, the significant differences observed based on the sex of the respondents highlight the importance of considering gender dynamics in coaching practices within the athletic program. Coaches may need to adopt tailored approaches to address the distinct needs and preferences of male and female student-athletes, ensuring that coaching strategies are inclusive and effectively meet the diverse needs of all athletes. Secondly, the variations in perceptions of coaching behavior across different types of sports underscore the importance of sport-specific coaching approaches. Coaches may need to adapt their coaching strategies to align with the unique requirements and dynamics of each sport, fostering a tailored and effective coaching environment for athletes. Additionally, the influence of the length of years as athletes on perceptions of coaching behavior suggests the importance of ongoing athlete development and support throughout their athletic journey. It reveals valuable insights into the attitudes and behaviors that contribute to effective teamwork. Team performance, concerning team members' skills and learning, epitomizes the collective proficiency of individuals in leveraging their diverse skill sets, knowledge, and learning experiences to achieve shared objectives.
Tendon Actuation Device Based On Underactuation Apple Lossless End Effector
Authors: Bian Peishuo
Published: June 2024

With the continuous development of agriculture, people's demand for improving orchard production efficiency and fruit quality is increasing. The traditional manual method of picking apples has problems such as low efficiency and high losses. Advanced technologies are urgently needed to address this challenge. To this end, this article introduces a non-destructive apple-picking technology based on robot end effectors. Through simulation analysis, it was determined that four steps of adsorption, pulling back, clamping, and twisting were used to simulate one-handed picking. The end effector produces a spherical dynamic grasp with normal force distribution and pick-up sequence replicating selected human body patterns. By analyzing and solving the structure of the hand claw, the motion statistics of the three fingers under different drives are simulated to determine the force required for picking. This technology adds an underactuated tendon drive with a flexible flexure joint. This is to make the system work better in the event of positioning errors and to make it more resistant to changes in fruit size, shape, and orientation. Experimental results show that non-destructive apple-picking technology using robotic end effectors has higher efficiency and lower losses than traditional methods. Robots can quickly complete more picking tasks and reduce fruit waste and loss.
Integrated Optimization Study of Electric Bus Fleet Transformation
Authors: Wang Gaobo , Zhao Yi , Pan Yifan , Shi Tingyang
Published: June 2024

With the increasing social demand for sustainable and environmentally friendly transportation, the transformation of public transportation systems has become an important issue. In this paper, three mathematical models are developed to synthesize the ecological consequences, financial models and transition scenarios in the transition from diesel to electric bus fleet. In Problem 1, this paper adopts the Life Cycle Assessment (LCA) method to examine the full life cycle energy consumption of the product. The model comprehensively considers the main raw material production stage, vehicle assembly and distribution stage, vehicle driving stage and vehicle scrapping and dismantling stage, as well as the production stage of all types of energy added to the vehicle driving stage, i.e., the production stage of fuels and electricity, and finally applies Gabi, the life cycle evaluation software developed by PE Germany, to carry out the evaluation of the life cycle energy consumption and greenhouse gas emissions. Finally, the energy-saving potential of pure electric buses reaches 12.69%, and the GHG emission reduction potential reaches 6.05%. The results are applied to the bus fleet in Beijing, and it is calculated that the replacement of the bus fleet with pure electric buses can save 21.87% of energy and bring about a total GHG emission reduction of 60,700 tons. In Problem 2, this paper adopts the research method of life cycle cost (LCC). The model quantifies all the technical, material, human and organizational measures involved in the whole bus system process into cost indicators, and then builds a financial model for the transition of the fleet to a pure electric bus fleet based on the model, which provides a reliable basis for the bus company's decision-making. From a long-term perspective, the public transport company to choose a pure electric bus fleet will be more economically efficient, but need to bear the costly transition to the acquisition of costs. Overall, this paper comprehensively explores the smart bus fleet transformation problem through three complementary models. It provides strong support for decision makers from the perspectives of life cycle cost, financial planning and environmental friendliness. The combined use of these models makes the article more comprehensive and provides useful lessons for future bus fleet transformation.
Vegetable Replenishment and Pricing Planning Based on ARIMA Forecasting
Authors: Shao Xinchao , Xiao Fuxi , Sun Fansheng
Published: June 2024

In fresh food supermarkets, vegetables have a short shelf life and can deteriorate quickly, necessitating daily replenishment and pricing decisions based on historical sales to maximize profits. This article, based on the historical sales data of vegetable products from a major supermarket, constructs a replenishment and pricing planning model based on ARIMA forecasting for six types of vegetables, seeking the optimal replenishment and pricing strategy for the next seven days. The results indicate that leafy and flowering vegetables, as well as eggplant-type vegetables, require more replenishment on Fridays and weekends, whereas aquatic root vegetables need more on Thursdays and Fridays. The replenishment of chili vegetables and edible mushrooms fluctuates, and there is a constraint relationship between pricing and replenishment volume. This study aims to assist merchants in making reasonable replenishment and pricing decisions to reduce costs and maximize economic benefits.
Catalyzing the Success of Implementation of After-School Physical Activity Program in Primary School under the “Double-Reduction” Policy
Authors: Bi Shiyong
Published: June 2024

The implementation of “Double-Reduction" policy creates a suitable external environment for the further development of after-school physical education services. In this study, literature review, questionnaire and interview methods are used as the main research methods to investigate the development status of after-school physical education services in urban primary schools in Guilin under the “double-reduction" policy environment, and to analyze and discuss the main influencing factors of after-school physical education services, such as coverage, contents, form and duration, participation and service mode, as well as quality and evaluation. The results revealed that: Under “double-reduction" policy, the after-school PE service coverage of primary schools in Guilin needs to continue to expand, and should strive to reach full coverage; Parents and students have strong demand for diversified after-school PE services, but there is a shortage of PE teachers, insufficient benefit guarantee for teachers to participate in after-school services, and the lack of quality and evaluation system. The paper suggests that relevant government departments should formulate after-school PE service policies to strengthen guidance, integrate high-quality after-school PE resources to participate in after-school service by purchasing services, strengthen the motivation of PE teachers to participate in after-school service, construct a reasonable after-school PE service evaluation system, and improve the quality of after-school PE service.
Research on Translator Subjectivity from the Perspective of Hermeneutics: A Case Study of English Translations of the Analects
Authors: Wang Li
Published: June 2024

This paper explores the manifestation of translator subjectivity in translating the Analects from the perspective of hermeneutics. Modern hermeneutics suggests that translators and readers are influenced by time, space, and cultural backgrounds, calling for the demonstration of subjectivity in the translation process. Steiner's hermeneutic translation theory introduces the four steps of "trust," "aggression," "incorporation," and "compensation," emphasizing the active role of translators in translation. Through a comparative analysis of the English translations of the Analects by James Legge and Gu Hongming, this paper discusses the translator subjectivity within these four steps.
Telco Customer Churn Prediction
Authors: Wei Ying
Published: June 2024

In recognizing the significance of retaining current consumers to thrive in this competitive landscape, this paper aims to predict customers' churn probability based on the background and behaviors of previous customers. The paper utilizes churn probability as a proactive means to identify customers at a high risk of leaving, serving as a reference for Telco to make informed decisions and take actions aimed at enhancing customer loyalty. This paper pre-target customers who have a high risk of leaving based on our churn probability with at least over 80% accuracy rate. And then use the churn probability as the reference to help Telco make better decisions and take actions to retain customers, such as providing a private discount or coupon. This paper limits the choice of customers in the services provided by telecom companies. However, customer attrition decisions may also be related to the quality of the service and the level of price, which the study was unable to quantify. The study addresses two primary challenges: determining models that accurately predict customer churn and identifying the characteristics of customers more prone to churn.
Chinese Traditional Health Exercises in Blended Learning Modality: Its Effectiveness and Students’ Satisfaction
Authors: Yang Fangyan
Published: June 2024

The purpose of this research is to assess the effectiveness and satisfaction levels of Chinese Traditional Health Exercises (CTHE) instruction within a blended learning modality and develop a reinforcement program which focused on improving the teaching and learning. Utilizing a descriptive-comparative research design, 154 students and 5 teachers from Changsha Medical University were randomly selected for participation. Key findings indicate that supplementary materials, clear explanations, effective time management, appropriate balance between online and offline components, flexibility in course scheduling, and effective delivery of instruction contribute to enhanced learning experiences for students.  Despite encountering technical, engagement, adaptation, communication, time management, assessment, and resource-related challenges, the blended model was perceived more positively than traditional learning. Successful implementation of learning activities and media positively influenced learner satisfaction and perception. Addressing these challenges through strategic solutions, teacher training, and resource accessibility is crucial for ensuring a more engaging and satisfactory learning experience for students.
Preface: 2nd International Conference on Food Biotechnology and Environmental Technology (FBET 2024)
Authors: Kellogg Wordsworth , Wang Hongli
Published: June 2024

The 2024 2nd International Conference on Food Biotechnology and Environmental Technology (FBET 2024) was held on February 24-25, 2024 in Istanbul, Turkey. This event was attended by researchers from various area with papers mainly focused on food chemistry, nutritional science, agricultural technology, biotechnology, eco-technology, clean technologies, pollution control and environmental sustainability.
The primary goal of FBET 2024 is to promote research and developmental activities in food biotechnology and environmental sciences. Another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working worldwide. The conference will be held every year to make it an ideal platform for people to share views and experiences in related areas.
A total of 78 papers were submitted to FBET 2024, and most of them were approved by the conference committee members and international reviewers in a double-blind evaluation process. The conference was held entirely online over two days, which included the four session, four 30-minute keynote speeches, and twelve author presentation sessions. From the talks and presentations, it was evident that our research community remains active and produces cutting-edge research.
We would like to take this opportunity to acknowledge the hard work of the entire conference committee. Their advice and support were fundamental to preparing for the conference. Likewise, a special thanks to the speakers and authors for considering FBET 2024 as a means of dissemination of their researchers, and to the invited researchers, whose talks and discussions brought us countless ideas for further discussion and development.
Conference Committee of FBET 2024
Istanbul, Turkey
Liquidity Tiered Navigation Strategy: A Time Series Approach to Financial Market Stability
Authors: Xu Chuhuan , Sun Yang
Published: June 2024

This article investigates the dynamic changes in liquidity stratification in financial markets, emphasizing how time series analysis can be used to forecast market liquidity. In China's financial markets, since 2014, liquidity stratification has become crucial, leading to significant differences in borrowing costs and difficulties among financial firms. Focusing on small and medium-sized banks, this study explores the origins and consequences of liquidity stratification. Moreover, it provides a comprehensive analytical approach for predicting market liquidity. This framework includes Granger causality tests, cointegration analysis, Auto regressive Integrated Moving Average (ARIMA) model, and Vector Auto regression (VAR) model. The method is rooted in a sequential, logical progression and is it eratively refined based on model outcomes. The findings of this study offer insights into the complexity of liquidity in financial markets and present a robust methodology for financial analysts and policymakers to forecast and strategize under the influence of liquidity stratification.
Analyzing Pricing Strategies: A Case Study of Deutsche Bank in the Banking Sector
Authors: Wang Ruohan , Ma Hanfei , Ren Jiahe
Published: June 2024

This paper explores pricing strategies in the banking sector using Deutsche Bank as a case study. It discusses various strategies like premium, promotional, penetration, and skimming, considering different market formations. Deutsche Bank's specific pricing tactics are analyzed, emphasizing its customer-oriented approach and optimization through bundling and data analytics. The study underscores the importance of aligning pricing objectives with broader business goals and continuously adapting strategies to dynamic market conditions. Overall, it provides insights into effective pricing practices for growth and profitability in the banking industry.
A Study on the Assessment of the Impact of Extreme Weather on the Insurance Industry and Response Strategies Based on SEIR Modeling
Authors: Li Junjie , Wang Yuhan , Wang Zitong
Published: June 2024

This paper investigates the impact of extreme weather on the insurance industry and proposes a new model for assessing the value of insurance underwriting. The study first collected data on nine indicators from 50 regions, categorized these indicators into three categories: extreme weather, insurance, and region, and then used the hierarchical analysis method (AHP), entropy weighting method (EWM), and CRITIC method to calculate the composite weights to derive the Underwriting Value Index (UVI). In addition, underwriting values for St. Louis and Kingman were evaluated using the ALARP criteria and the EIR model. In order to help communities and real estate developers to carry out rational development, the EIR model was improved to form the SEIR model, which was applied to score the development value of nine municipalities in Fujian Province, which showed that Xiamen scored the highest and was recommended to be developed and built in Xiamen. The methodological validation of this study shows that there is a significant correlation between the UVI score and the insurance coverage gap (Pearson correlation coefficient R=0.869), which indicates that the model has good rationality and practicality.
Research on the Characteristics and Influencing Factors of Economic Information Dissemination in the New Media Era
Authors: Cao Yichen
Published: June 2024

With the rapid development of internet technology, social media platforms, and the proliferation of mobile devices, the ways in which people access, process, and disseminate economic information are increasingly diversified. In the economic sector, the rise of new media has led to economic information dissemination displaying distinct characteristics of immediacy, interactivity, and diversity. Information spreads faster, allowing market dynamics and policy adjustments to quickly reach a broad audience. The public actively participates in discussions through new media platforms, forming a two-way interactive information exchange model, thereby meeting the personalized needs of different audiences. To drive the transformation of information dissemination, technological factors play a significant role. The development of new media technology provides broader space for information dissemination, while economic and social factors also have a profound impact, changing the content and methods of information dissemination. To address the challenges of the new media era, it is necessary to improve based on actual conditions, gradually enhance the quality of information, and ensure its authenticity and accuracy; use new media technology to increase the efficiency of information dissemination; enhance interactivity, encourage public participation in discussions; optimize communication channels, select appropriate platforms for the audience, improve the effectiveness of economic information dissemination, and better serve socio-economic development.
Visual Insights in Lung Cancer Prediction: Leveraging Data Visualization and Analysis for Building and Tuning Machine Learning Models
Authors: Chen Zeyu , Chien Ching-Syuan , Guan Heming
Published: June 2024

Lung cancer stands as a significant global health challenge with its high occurrence rates and fatal lethality. Given lung cancer's severity and complicated symptoms in later stages, healthcare facilities must detect them early. Traditional diagnostic methodologies are often burdened by high cost and specialized expertise, prompting exploration of alternative methods, such as machine Learning. This paper utilizes a dataset from a Nature Medicine study involving 462,000 participants in China and employs machine learning to predict lung cancer risk. Through the application of Exploratory Data Analysis (EDA), this paper explored the correlation between demographic variables, environmental factors, and lifestyle habits with the probability of lung cancer occurrence. The neural network architecture incorporates dynamic layers, rectified linear unit (ReLU) activation, and the Adam optimizer with dropout regularization. Results from EDA reveal correlations between lifestyle factors and lung cancer risk. The machine learning model achieved 70% accuracy on predictions and was refined to 90% through EDA and utilizing the LIME interpreter. This study aimed to advance lung cancer prediction by applying an amalgamation of techniques and technologies, like data visualization, extensive data analysis, and machine learning. This research aimed to contribute to the showcase of applying the latest technological advancements for the era of big data within the medical research and healthcare industry. The success of this model suggests the viability of creating machine learning models targeted for cancer predictions and indicates further advancements, such as personalized prediction models.
Telecommunications Regulation in the Post-5G Era: Bridging the Digital Divide
Authors: Yang Haolan
Published: June 2024

The ongoing digitalisation of society has led to a growing disparity between the digitisation of life and the ageing of the population. This has resulted in a significant number of elderly individuals becoming disadvantaged in the digital age. The issue of how to assist the elderly in crossing the "digital divide" has therefore become a crucial concern. In the context of an ageing society and the advent of the post-5G era, it is of practical significance to discuss the regulation of the telecommunication industry in order to eliminate the digital divide of the elderly. This paper proposes corresponding measures from the perspective of telecommunication regulation in the post-5G era to bridge the digital divide for the elderly and provide systematic and scientific support for the promotion of fair social development.