bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of the Current Situation of Service Quality in Private Elderly Institutions and Reflections on Improvement
Authors: Liu Jibing
Published: June 2024

In recent years, with the exacerbation of societal aging, private eldercare institutions have assumed increasingly pivotal roles within our nation's eldercare service framework. Nevertheless, beneath the veneer of rapid development, the current state of service quality presents a less than satisfactory scenario. Within the realm of private eldercare institutions, numerous factors collectively influence the caliber of service. Foremost among these concerns is the issue of singular service offerings coupled with inconsistent quality. Many establishments lack rich and comprehensive service provisions in daily care, rehabilitative assistance, and psychological support, resulting in significant disparities in service standards. Moreover, inadequacies in staffing and professional capabilities serve as critical impediments to enhancing service quality. Numerous private eldercare institutions suffer from shortages in both the number and expertise of caregiving personnel, not only hampering the effective execution of daily services but also diminishing the satisfaction levels of service recipients to a certain extent. Furthermore, the issues of management systems and operational efficiency demand equal attention. Many institutions lack innovative and efficient mechanisms in management systems and operational models, leading to irrational resource allocations, inefficient service processes, thereby compromising overall service quality. Against the backdrop of these aforementioned challenges, the comprehensive enhancement of service quality in private eldercare institutions emerges as an urgent issue in need of resolution.
Exploration on the Path of Integrating Anti-epidemic Spirit into Ideological and Political Education in Universities
Authors: Jiang Tiexin , Li Jia , Wang Yi
Published: June 2024

On September 8th, 2020, General Secretary delivered a speech at the National Commendation Conference on Fighting COVID-19 Epidemic: In this life-and-death contest with a serious epidemic, the people of China and the Chinese nation, with their dauntless spirit of daring to fight and win, forged the great anti-epidemic spirit of putting life first, uniting the whole country, giving up one's life and forgetting one's death, respecting science and sharing a common destiny. Although the epidemic ended in 2023, the three-year epidemic is an unforgettable common memory for everyone in China, and the anti-epidemic spirit will gradually precipitate into the blood of everyone in China. As a public compulsory course for college students, ideological and political theory course should be good at integrating the anti-epidemic spirit into daily teaching, so that the anti-epidemic spirit can constantly cultivate each student's patriotic feelings and values.
Comparison of Different Machine Learning Approaches for Forecasting Stock Prices
Authors: Li Jingyao
Published: June 2024

Predicting stock prices is a crucial task that has significant implications for investment decisions, business strategies, and financial market stability. Accurate predictions can help investors make informed decisions, capture opportunities, and minimize risks. Understanding financial markets, economic data, company-specific elements, and a variety of statistical and analytical approaches are all necessary for making accurate stock price predictions. This paper employs three machine learning methods to forecast stock price data from a three-year time series dataset. Stock prediction plays a fundamental role in investment decisions, and accurate predictions are crucial. While various methods for predicting stock trends exist, different stock datasets may require different prediction models. Using three years of stock data, including gold and bitcoin, from the 2022 MCM Problem C, this study applies Support Vector Machines (SVM), Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN) to make predictions. Bayesian hyperparameter optimization is employed, and a comparative analysis is conducted. Ultimately, the results indicate that CNN outperforms the other methods, exhibiting relatively low error metrics and a high R-squared value, with no apparent signs of overfitting.
Research on Erosion Mechanism and Protection Technology of Sand Bearing Fluid Pipeline
Authors: Ma Rongrong
Published: June 2024

The purpose of this study is to explore the influencing factors of sand bearing fluid on pipeline erosion and evaluate the effects of different protection technologies. Through the construction of erosion testing equipment, the influence of sand particle size, concentration and flow rate on the erosion rate was systematically studied. The results show that the increase of sand particle size and concentration and the increase of flow rate will significantly increase the erosion rate. In addition, coating protection technology and alloying technology have been proved to be effective in reducing the erosion rate, and coating protection technology shows better protection effect. It provides theoretical basis and data support for pipeline design and protection in sand bearing fluid environment.
Impact of ESG Performance on Enterprise Risk
Authors: Zhang Yuqing
Published: June 2024

ESG is the application and practice of the concept of sustainable development in enterprises, which is highly compatible with China's social and economic development strategy at this stage. At present, corporate ESG performance has become a hot spot of research and practice at home and abroad. Enterprise risk, as an important factor affecting enterprise development, lacks relevant research on the impact of enterprise ESG performance on enterprise risk, not to mention the exploration of the mechanism of the role of ESG performance on enterprise risk. This paper takes China's A-share listed companies in Shanghai and Shenzhen from 2013 to 2022 as the initial sample to study the effect and mechanism of ESG performance on corporate risk. The results of the study show that: ①good corporate ESG performance can significantly reduce corporate risk, and the conclusion still holds after the robustness test; ②mechanism analysis finds that good corporate ESG performance can reduce corporate risk by inhibiting corporate virtual investment. This paper enriches the related research on the economic consequences of corporate ESG, which helps to promote the risk management of listed companies through ESG strategies, and also provides reference for the decision-making of the government, investors and other stakeholders.
The Impact of CATL's ESG Implementation on Its Enterprise Performance
Authors: Shu Chuhan , Yang Shiyu , Yang Tongshu , Zhang Hongbo
Published: June 2024

In recent years, enterprises have gradually realized the significant influence of the Environmental, Social and Governance(ESG)on corporate performance. This article aims to explore that how ESG factors affect the performance of Contemporary Amperex Technology Co., Limited (CATL), a globally leading company in new energy innovation and technology. Based on relevant research on the relationship between ESG and corporate performance, the analysis is carried out from three perspectives: environmental, social, and corporate governance, to examine the impact of CATL's ESG practices on both its financial and non-financial performance. The results indicate that CATL's active implementation of ESG is conducive to improving the company's financial performance as well as enhancing its performance in environmental, social, and corporate governance aspects. As one of the representative enterprises in China's new energy industry, the analysis of CATL in this article provides insights for the sustainable development of other enterprises and calls for improving the national information disclosure system of ESG.
Saastamoinen and Marini-Murray's Study of the Tropospheric Delay Model in Shijiazhuang
Authors: Zhao Shuoyang , Zhang Baojin , Wei Xianghui , Sun Liang , Zhou Aobo
Published: June 2024

In addition to the non-dispertic medium, the tropospheric medium changes with time, and it is difficult to use a simple and unified mathematical model to determine the degree of change, especially in the long baseline relative positioning, the tropospheric delay between two stations often shows a weak spatial correlation. In this paper, this study will briefly introduce the main methods to reduce or eliminate various kinds of errors in order to build a real-time tropospheric delay model. The main body of this paper is to introduce and discuss the existing direct calculation model and mapping function of tropospheric delay. Based on the meteorological data of Shijiazhuang meteorological station provided by the official website of China Meteorological Administration, the appropriate tropospheric delay correction model and projection function (Saastamoinen +Marini-Murray model) are selected. The hourly tropospheric delay correction model along the propagation path direction in Shijiazhuang city on April 1, 2023 is established, and the accuracy and reliability of the model are analyzed.
Coaches Behaviour Towards Motivational Climate and Performance Satisfaction of College Volleyball Players in Guangdong China
Authors: Chen Lina
Published: June 2024

Coaches plays a significant role on how an athlete behave, perform and act. Each coach utilizes different method and approach in coaching which describe their coaching behaviour. Coaching behavior represents the personal characteristics and attitudes of the coaches. The impact of coaching behaviour has been an extensive topic of study in sports psychology where continuous arguments on how coaching behaviour affects motivational climate and performance of the athletes. Therefore, the researcher in this study deemed to bridge the knowledge gap through identifying the impact of coaching behaviour, motivational climate and performance satisfaction of the climate and performance satisfaction of college volleyball players in Guangdong, China. In conducting the study, the researcher employed descriptive correlational design. Two hundred collegiate volleyball players in selected universities in Guangdong, Chine were selected through stratified simple random sampling technique as respondents of the study. Validated self-made questionnaire was used as the main instrument of the study in describing coaching behaviour of the team coaches in terms of action, belief and attitude, motivational climate in terms of task/mastery and ego-oriented climate and performance satisfaction in terms of individual, team and coach’s performance. The data was analyzed through the use of Pearson r. The result of the study revealed that there is a significant relationship between the coaching and the motivational climate within the team as perceived by the respondents. Furthermore, coaching behaviour is significantly related to performance satisfaction in terms of individual, team and coach’s performance. Finally, the study formulated a proposed program of action to better enhance the coaching behaviour of the volleyball team coaches.
Analysis and Research of Taoist Cultural Tourism Translation from the Perspective of Communicative Translation Theory
Authors: Ding Kairui , Xie Jiguang
Published: June 2024

Traditional Chinese culture is an important resource for the inheritance and development of Chinese culture, and it is an essential spiritual guarantee for national rejuvenation and rise. With the rapid development of the Internet, people often browse relevant websites to learn about their destinations before traveling and tourism. Therefore, in the international tourism field, the translated information on destination official websites plays a crucial role in the external publicity and promotion of tourist destinations. The basis of tourism translation lies in the historical and cultural connotations of the destination, and the cultural differences between Chinese and English pose a major challenge in tourism translation. In order to increase the readability and attractiveness of tourism translation, translators must be able to reproduce the feelings of the original language readers for the target language readers. When conducting translation work, it is necessary to have a deep understanding of the connotations and characteristics of Taoist culture, accurately grasp its core ideas and values, in order to maintain an authentic expression in the translation process. Therefore, this paper discusses the issues and translation strategies of Taoist cultural tourism translation through the analysis of Peter Newmark's theory of communicative translation and the description of the characteristics of Taoist cultural texts, combined with the example of the official English website of Mount Lao. These issues include language difficulty, cultural differences, and translation style. The research in this paper is of great significance for promoting the international dissemination and understanding of Taoist cultural tourism. By applying the theory of communicative translation, we can better achieve the accurate transmission of Taoist cultural tourism information and the understanding and resonance of target readers. At the same time, this research also provides reference and inspiration for other cultural tourism translations, making positive contributions to cross-cultural communication and integration.
The Importance of Computer Network Applications and Security
Authors: Zhang Shuwei
Published: June 2024

Computer network applications and security have become integral components of modern society. This paper explores the importance of computer network applications and security, analyzes the current status of computer network applications and security, and discusses the challenges and solutions in computer network security.
The Influence of Positive Psychology Interventions on Adolescent Well-being: A Systematic Literature Review
Authors: Fu Mengfei
Published: June 2024

With rising living standards, there has been a growing focus on well-being in recent years. Adolescence, widely recognized as a pivotal stage in life, has drawn significant interest from researchers and scholars across disciplines due to its profound impact on adolescents' well-being. Positive psychology interventions originated in the 1990s and have experienced rapid growth into the 21st century. Increasingly, researchers have recognized the potential of positive human attributes in mitigating mental illnesses, leading to the emergence of positive psychology interventions. However, most researchers have focused on studying positive psychology interventions within the realm of clinical medicine, with fewer studies conducted in the field of education. Therefore, this paper employs a systematic literature review methodology to examine and consolidate the research on positive psychology interventions and well-being within the realm of education over the past decade. It is found that (1) In the past few years, psychologists have paid more and more attention to the impact of positive psychology on adolescent well-being, and there are more studies on this in Western countries. (2) Positive psychology interventions yield substantial short-term benefits for adolescents' well-being, including fostering positive emotions and enhancing their resilience. (3) There is limited research in the realm of education regarding the effects of positive psychology interventions on the well-being of at-risk adolescents.
Research on the Current Situation and Countermeasures of Living Mathematics Teaching in Primary Schools
Authors: Yang Beibei
Published: June 2024

In the context of the new curriculum reform, the focus of the basic curriculum reform is described as "teaching is the content of life, and learning is the way students live." The new curriculum reform proposes that the living of mathematics teaching can improve students' learning efficiency, cultivate their ability to learn and use, and stimulate their love for mathematics. This study is based on the theories of educators such as Dewey, Tao Xingzhi and Frei et al. Tal, based on the M school for case study, using the literature method, observation method and interview method, through the interviews with nine mathematics teachers and classroom observation, to understand the problems of living teaching in this school, this paper is divided into four parts except the preface, and puts forward corresponding countermeasures for living teaching.
An Analysis of Factors Affecting IPO Performance Based on Alibaba IPO
Authors: Zhang Bishan
Published: June 2024

In this dynamic era of technological innovation and information flow, an increasing number of internet companies and e-commerce platforms emerge in endlessly. The level of capital injection is a crucial consideration for companies who desire to expand or innovate, especially for internet companies during the period of rapid development. As a result, going public will be a plausible solution for firms as they are not only able to get sufficient financial support, but also to gain competitiveness. However, companies always need to make some choices when going public: Which and how many underwriters do they need? Which stock exchange do they want to be listed? How should shares issued by a company be priced? Companies need to develop a far-sighted mind to look at this event, along with an innovation strategy that enable businesses to gain a firm foothold in the international market. This paper explains the factors that companies have to take into account in their IPO processes. The IPO event of Alibaba, which shows double-edged effects, is discussed in detail.
A Financial Valuation and Strategic Forecast on Nike, Inc.
Authors: Wu Xiaoran
Published: June 2024

The objective of this article is to evaluate Nike Inc.'s overall performance in the past three years and make predictions about its future prospects. Initially, this paper will analyze the three most significant accounting policies outlined in Nike's annual report for 2023. This analysis will assist us in determining the company's effectiveness in managing its assets, utilizing them, generating profits, and identifying long-term development trends. Furthermore, this paper will conduct a comparative assessment of various financial ratios with competitors within the Nike industry to gauge the company's performance in the previous year. This evaluation will provide valuable insights into Nike's financial position, operational achievements, and market standing. Finally, based on the comprehensive evaluation of Nike's overall performance in 2023, it will offer forecasts regarding its market value and future performance over the next two years. As a globally renowned sports goods brand known for its remarkable success thus far, Nike has strategically implemented a product portfolio strategy that has propelled it forward in terms of market advancements. The conclusion drawn from this article aims to enhance other sports goods brands' understanding of effective marketing strategies employed by Nike while fostering growth across the entire industry.
A Brief Analysis of the Adaptive Algorithm and Optimization of the BP Neural Network
Authors: Dai Yichen
Published: June 2024

This article first introduces the development of adaptive algorithms, especially the application of deep learning and backpropagation algorithms in adaptive algorithms. Then the backpropagation (BP) neural network including its basic structure and mathematical modeling is analyzed. Special emphasis is placed on the advantages of BP neural network in adaptive algorithms, such as self-regulation ability and ability to handle complex problems. This paper compares the advantages of various algorithms through the performance indicators of various algorithms in predicting early neurological deterioration (END) in patients with acute cerebral infarction (ACI) after intravenous thrombolysis. In addition, the paper discusses the problems that BP neural networks may face in practical applications and optimizes the model by introducing methods such as zero-norm regularization, which can reduce the computational burden in training and inference and can effectively avoid overfitting questions.
Leisure Sports Involvement and Personal Development Engagement
Authors: Wang Zhen
Published: June 2024

This study aimed to evaluate the relationship between students' involvement in recreational sports and their individual growth, with a specific emphasis on self-awareness, self-assurance, self-worth, self-motivation, and self-examination. Information was gathered from a group of student participants using standardized questionnaires that assessed their views on parental and family support, peer interaction, the sports environment, and financial needs associated with sports participation. Furthermore, the participants in the study evaluated their level of personal development involvement in relation to the aspects indicated before. The findings revealed a level of neutrality in the sense of parental and family support, pleasant relationships among peers, a favorable atmosphere in sports, and moderate difficulties related to budgetary constraints. Student respondents exhibited moderate levels of self-awareness, positive self-confidence and self-esteem, and a neutral to positive attitude towards self-motivation and self-reflection in relation to their participation in personal development. Although the overall correlations between engagement in leisure sports and personal development were found to be weak, indicating a subtle association, further investigation is necessary to comprehend the intricate mechanisms at play. The aforementioned findings highlight the necessity of implementing comprehensive support programs that target financial limitations, bolster self-motivation, and acknowledge the diverse factors that impact the development of young individuals outside their involvement in sports.
Decoding Phonetic Meaning in a Semantically Meaningful Lexicon: Sound Symbolism in Steam Game Titles
Authors: Zhou Yicheng
Published: June 2024

It is widely believed that the marriage between a word’s sound and meaning is not an arranged one. A major exception to this, however, is sound symbolism. Inspired by previous research on the extensive use of sound symbolic associations in naming practices, this study directed attention towards the titles of popular games on Steam, which, unlike brand names, are mostly composed of semantically meaningful lexical items. The results showed that Action/Adventure/RPG game titles contained more voiced obstruents and fewer low vowels than Strategy/Simulation game titles. Additional research could delve into the interplay between semantic and phonetic meanings conveyed by names and titles.
A Financial Analysis and Valuation on Nike, Inc.
Authors: Dong Yangleyan
Published: June 2024

As there are a great number of companies in the market, evaluation of a specific company is vital of importance nowadays. Therefore, this report will give a comprehensive financial analysis of Nike from four aspects: liquidity performance, solvency performance, profitability performance and investment performance. Initially, this analysis will give a brief introduction about Nike’s strategy, operations and some basic information. After that, liquidity performance indicates that Nike did a great job especially in the use of inventory and the discount capacity. Meanwhile, Nike also low financial risks and strong profitability compared with other four companies in the same industry in the solvency performance. Furthermore, Nike has an excellent cost control ability but still some improperly allocated of resources in some areas in the profitability performance. Not only this, Nike has the highest investment value among the four competitors in the same industry in the investment performance. As a whole, it could be seen from the financial analysis that Nike has quite strong competitiveness in this industry.
Research on Human Computer Interaction Technology in Virtual Reality Scenes
Authors: Zeng Qingliang
Published: June 2024

This paper discusses the current status, challenges and development trends of human computer interaction technology in virtual reality scenarios. Virtual reality technology has gradually become a frontier field of human computer interaction research. This paper analyzes virtual reality technology and human computer interaction technology. By introducing the commonly used human computer interaction hardware equipment and software technology in current virtual reality scenarios, it reveals the actual application of human computer interaction in virtual reality environments. From the three aspects of technology, user experience, and security and privacy protection, this paper analyzes the challenges faced by human computer interaction technology in virtual reality scenarios. In the future, with the continuous advancement of technological innovation, new human-computer interaction technologies will continue to emerge, and the integration of artificial intelligence technology will further enhance the intelligence level of human-computer interaction, making the user interaction experience more natural and convenient.
Preface: 5th International Conference on Business Management, Humanities and Education Engineering (BMHEE 2024)
Authors: Zephaniah Hilary , Zhang Shihong
Published: June 2024

The 2024 5th International Conference on Business Management, Humanities and Education Engineering (BMHEE 2024) was held on April 27-28, 2024, in Copenhagen, Denmark. The aim of this conference is to bring together innovative academics and experts in the fields of business management, applied economics, corporate governance, humanities, education engineering, and social sciences to a common forum. The conference will be held every year to make it an ideal platform for people to share views and experiences.
BMHEE 2024 provides a forum for all attendees to share and exchange ideas and research findings in respective fields. The conference allows the exchange of knowledge between different research domestic and foreign centers representing various fields.
We enjoyed 4 keynote speeches and many oral presentations made by the authors which lasted for 10-15 minutes each, and a lot of inspiration sparked during the Q&A parts. Researchers who have contributed their work to BMHEE 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. This conference is initiated to contribute cutting-edge ideas. Thanks to the dedication of every committee member and the reviewers, we finally made this conference.
Organizing Committee of BMHEE 2024
Copenhagen, Denmark
Integrated Framework for Light Pollution Assessment and Mitigation: A Multifaceted Approach with TOPSIS and Machine Learning
Authors: Duan Shengxiang , Xiong Yiqi , Yang Ruirui
Published: June 2024

In this study, we propose the development of an evaluation system to quantify the degree of light pollution and offer three strategies for mitigating its negative effects. Our research identifies 4 distinct types of cities and employs a 16 key indicators to assess the level of light pollution risk, forming the basis for the construction of the Light Pollution Assessment (LPA) Model. Utilizing the TOPSIS and EWM methods, we ranked each city and determined a composite score interval, categorizing pollution levels from I to IV. Our evaluation system designates level I with an overall score of 0.7466, establishing it as a benchmark for assessing the risk level of light pollution. Recognizing that certain factors influencing LPA levels may not directly contribute to light pollution, we introduce the ML-based Strategy Evaluation (MLE) method, this approach classifies 11 out of 16 indices based on their relevance to light pollution. Our analysis reveals that the number of streetlights, the range of ULOR (Upward Light Output Ratio), and the presence of natural protected areas are the top three factors affecting light pollution. With an accuracy of 79.1%, the MLE method demonstrates a strong alignment with the data. Based on our findings, we propose three targeted strategies focusing on luminance regulation, greenery implementation, and legal enhancements to address and alleviate light pollution challenges in urban environments. This research contributes a comprehensive assessment framework and actionable strategies for policymakers and urban planners to effectively manage and reduce light pollution.
A Review on the Cause of Black Friday Consumerism
Authors: Huang Yihe
Published: June 2024

Black Friday is a typical date for an explosion in the number of irrational and excessive consumer behaviours. An in-depth study of Black Friday helps researchers understand the influences on overconsumption and the related consumption strategies of companies. This paper explores the reasons that led to the phenomenon of Black Friday consumerism. The historical background and cultural influences of Black Friday are examined to tell the story of how it became an important event on the consumer calendar. The article also delves into the psychological reasons that drive individual consumers to participate in Black Friday, including the desire for bargains and social comparisons. In addition, the economic impact of Black Friday on society as a whole is discussed, as well as the strategies used by retailers to drive sales. The role of scientific and technological advances in shaping the Black Friday experience is also explored. By analysing these different aspects, the article provides a comprehensive understanding of the causes and effects of Black Friday consumerism.
Optimal carrier Selection Based on Reliability Under Delivery Spoilage and Cost Constraint
Authors: Yuan Mengmeng
Published: June 2024

In a highly competitive market environment, outsourcing of logistics service is one of the most significant strategies for enterprises to enhance competitiveness. However, how to construct an efficient and reliable logistics network by selecting suitable logistics carriers is a complex but important practical issue. In general, there are multiple carriers to provide freight service along each route of a logistics network. Moreover, the transportation capacity of each carrier has multiple states due to various factors, which can be portrayed by a capacity probability distribution. In addition, delivery spoilage and cost constraint are the key indicators affecting carrier selection. Therefore, this paper studies the logistics carrier selection problem from the perspective of multi-state network reliability under delivery spoilage and cost constraint, and apply the minimal path (MP) method to solve the problem. The practicality of the algorithm is verified by example analysis.
Enhancing Work Motivation Through the Correlation of Leaders' Emotional Intelligence and Teacher Engagement
Authors: Li Mingyuan
Published: June 2024

This study evaluated the emotional intelligence level of leaders and the professionalism level of teachers at Inner Mongolia N College. The intention is to collect valuable information to enhance the motivation of teachers. This study applied Gorman's emotional intelligence theory to evaluate 228 teachers in the college. Focus on dimensions such as self-awareness, self-organization, motivation, empathy, and social skills. The goal of this study is to propose an "Enhanced Work Motivation" program aimed at enhancing the emotional intelligence of leaders and ultimately cultivating more motivated and dedicated faculty and staff. Researchers hope to have a lasting and positive impact on the work culture of educational institutions by adopting a comprehensive approach. Ultimately, researchers found that leaders of teachers are motivated, self-awareness, disciplined, empathetic, and possess social skills, as it promotes teacher engagement and helps organizations achieve success. Teachers believe that their participation is high, and they feel connected, invested, and dedicated to their role, which is a positive sign for their job satisfaction, performance, and overall quality of education provided. There were no significant differences in the evaluation of teacher respondents on their level of involvement in emotional, social, and cognitive aspects due to demographic factors such as age, gender, or length of service. This indicates that among the surveyed teachers, different population groups have consistent views on participation. The level of teacher participation in emotional, social, and cognitive domains is positively correlated with the emotional intelligence of leaders. This indicates that emotional intelligence is crucial for good educational leadership, which in turn affects teacher engagement and increases the overall success rate of the school community. Based on the conclusions drawn from this study, relevant suggestions are provided for future researchers to refer to and recognize the importance of the "Enhancing Work Motivation" program as a valuable measure in improving the emotional intelligence of leaders and cultivating proactive faculty and staff.
The Effect of TBLT (Task-Based Language Teaching) on Chinese Students' English Language Proficiency
Authors: Hu Yueyue
Published: June 2024

Task-Based Language Teaching (TBLT) is a language teaching method centred on accomplishing specific tasks. This paper summaries the application methods of TBLT in the process of teaching English in China. TBLT can solve the problems of this students' lack of opportunities to use language in real contexts and insufficient comprehensive language skills. However, TBLT also produces some negative impacts in the process of English teaching in China, and this paper also puts forward some methods to deal with them, hoping to provide some references and insights for the reform of English education in China.
Comparison and Performance Analysis of EVENODD and RDP Fault-Tolerant Coding Methods
Authors: Zhan Haitao
Published: June 2024

Fault-tolerant coding schemes are techniques designed to protect original data from errors and data loss by introducing redundant data. This study compares the performance of two commonly used fault-tolerant coding methods, EVENODD and RDP. These methods are widely employed in data storage to ensure data integrity and fault tolerance. The objective of this research is to determine which method is better suited for specific application scenarios. Through experiments and performance evaluations, this research found that RDP outperforms EVENODD in terms of encoding and decoding, requiring fewer computational resources, especially excelling in encoding and decoding times. EVENODD exhibits better storage and I/O efficiency, typically requiring fewer data disks but demanding more computational resources for encoding and decoding. The choice between EVENODD and RDP should be based on specific application requirements and the balance of performance, storage, and computational resources. Furthermore, this research discusses their respective advantages and disadvantages and proposes future research directions, including hybrid fault-tolerant coding schemes, integration with cryptography, and combining them with artificial intelligence and deep learning technologies. These studies will contribute to enhancing the security, integrity, and reliability of data storage.
The Centralized Meal Service Delivery Mode
Authors: Lin Meiyan , Wang Ting , Chen Zhenshuo , Lin Shaodan , Ma Lijun
Published: June 2024

Meal delivery with high delivery timeliness requirements in demand-intensive areas often leads to several issues such as chaotic terminal management and low efficiency during peak times, reducing consumer satisfaction and increasing complaints. This study constructs a dynamic model of meal delivery systems to analyse the operational models and centralized dispatching modes in Guangzhou University City, and applies an evolutionary game model to explore the decisions from the perspectives of government, meal suppliers, riders, and consumers. The study analyses how centralized dispatching mode affects the performance of delivery systems and its impact on the willingness of government, merchants, and riders to participate. The results indicate that demand-intensive areas, centralized dispatching modes have sustainable advantages in terms of cost and efficiency. The effectiveness is closely related to the intensity of government intervention (supervision and support), but weakly related to the timing of intervention. Consumer preferences, shaped by consumer type and perceived value, affect the benefits of participating in a centralized dispatch mode, but not the willingness of meal suppliers to participate. The evolutionary framework in this study provides valuable references for the quantitative evaluation of the meal delivery system, theoretical support for the decision-making of the participants of the meal delivery system, and a research framework for the relevant decision-making scenarios, so as to optimize the allocation of meal resources and promote the sustainable development of meal delivery.
Research on Medical Robots Based on Convolutional Neural Network: Drug Transportation System and E-commerce for Neurodigestive Diseases
Authors: Yuan Yezhi , Pei Fan , Huang Yuting , Jie Zhang , Li Liangyu , Yi Qin
Published: June 2024

The research team designed medical robots for patients with neurodigestive diseases, mainly using convolutional neural networks to achieve robot positioning. We designed the primary model of the drone and used a spatial Cartesian coordinate system as a reference system to conduct positioning research. Finally, by analyzing the current situation of multiple disease relapses and conducting drug related questionnaire surveys, we verified the necessity of drug delivery robots, Convolutional neural networks have been implemented to achieve spatial positioning of robots.
Self-help and Way Out of Tea Drinking Brands in the Context of Economic Downturn--Taking Sexy Tea as an Example
Authors: Yue Yutao , Jiang Zhengrong , Liu Jinzhou , Mei Linhao , Zhou Junjie , Cao Xiaoli
Published: June 2024

This study examines how the tea drink brand "Sexy Tea" has successfully utilized its core competencies to cope with market changes in the context of the economic downturn. Through an innovation-oriented product strategy that skillfully combines unique flavors and innovative drinking styles, the brand has successfully broken through the framework of traditional tea drinks and established a unique position in the competitive market. Diversified marketing strategies including comprehensive online and offline promotions and weather-specific promotions have effectively increased brand exposure. Flexible channel expansion strategies, especially the use of online ordering and takeaway services, enabled Sexy Tea to successfully adapt to the trend of consumers turning to online shopping during the epidemic. In addition, the brand's differentiated pricing strategy has met the needs of consumers at different levels with more affordable prices, skillfully balancing price and value for money.
Quantitative Research on New Energy Vehicle Development Based on Multiple Linear Regression
Authors: Ye Jinpeng , Fang Xiaoyan , Huang Yinglin , Xiao Dongmin
Published: June 2024

Analyzing the factors influencing the development of China's new energy vehicles is beneficial for understanding the progress of this sector and boosting its growth. This study utilizes gray correlation analysis and a multiple linear regression model to examine the relationship between diverse factors and the progress of new energy vehicles. To identify the primary determinants of new energy vehicle sales, data on pertinent indicators were collected. Initially, seven evaluation indicators affecting the sales of new energy vehicles were identified by reading many literatures. Subsequently, gray correlation analysis was employed to calculate the degree of association between these indicators and new energy vehicles. It was discovered that the gray correlation between the number of public charging piles and the sales of new energy vehicles is 0.922, and the corresponding gray correlations of the remaining six indicators are all 0.7-0.8, which means that the correlation between the indicators and the sales of new energy vehicles is obvious, and all of them are used to establish the multiple linear regression model. The results show that the number of public charging piles has the most significant effect, with a regression coefficient of , which indicates that strengthening the charging infrastructure can effectively promote the growth of its sales.
Analysis on the Sales Links of Listed Companies Based on Value Chain Theory
Authors: Tang Weiguo
Published: June 2024

This paper takes Great Wall Motor as the research focus, and studies and analyzes the sales links of Great Wall Motor. First of all, the research background and related theoretical basis and concepts of this paper are expounded. Secondly, from the perspective of value chain, this paper focuses on the sales link of Great Wall Motor, analyzes its relevant data in the past five years, and expounds the current situation of profitability in the sales link. Carry out a comparative study of comparable companies, find out the problems existing in the sales process of Great Wall Motor compared with comparable companies, and analyze its advantages and disadvantages. Thirdly, the problems existing in the sales of Great Wall Motor are described and analyzed. Finally, according to the data and problems of Great Wall Motor, practical solutions are put forward in the sales process, which will help to change the status quo and enhance profitability.
Study of Mrs. Reed’s Multi-dimensional Image from the Perspective of Sigmund Freud’s Personality Structure Theory
Authors: Wang Shihan , Jian Chengyao
Published: June 2024

Jane Eyre is a classic written by British female writer Charlotte Brontë. In this paper, the author makes a comprehensive analysis of a minor character in the novel, Mrs. Reed. It is found that Mrs. Reed is a hard-hearted and cruel aunt, a doting mother and a jealous wife. Then, Freud’s personality structure theory is employed to interpret Mrs. Reed’s multi-faceted image. Firstly, Mrs. Reed is influenced by the “id” factor which makes her indulgent in her own nature, unconstrained by social rules, and behave as a hard-hearted, jealous and doting woman. Secondly, “ego” factor also shapes Mrs. Reed’s image as Mrs. Reed does show humanity occasionally under the rules and pressures of reality. In order to adapt to the social environment and cope with external pressures, Mrs. Reed displays a multifaceted and complicated personality in different situations.
Evaluation and Spatial Correlation of Agricultural Green Investment Efficiency in China
Authors: Wang Xueshan , Wang Lei , Hu Yaling , Yang Luyuan
Published: June 2024

Green agriculture is one of the development directions of modern agriculture, and now the development of green agriculture needs the support of capital and technology. Under the background that China attaches great importance to the development of green agriculture, the government has introduced a series of relevant policies. Therefore, by exploring the problem of investment efficiency in the development of green agriculture in our country, optimizing the investment direction, and constantly promoting the development of green agriculture, there is no doubt that it has important practical significance. Through normative analysis and empirical analysis methods, this paper conducted in-depth research on the efficiency of green investment in agricultural science and technology, the development prospect of agricultural green industrial structure, and the impact of green agricultural economy on green investment, analyzed several key impacts of improving the efficiency of agricultural green investment on the development of agricultural industry, and then elaborated the reaction of agricultural green investment on the entire economic development. This paper also innovatively explores from the Angle of entry and analysis methods, and continuously analyzes the investment effect of "high investment efficiency, low investment level and high overall income growth" formed by the gradual improvement of green technology investment efficiency, the continuous decline of green investment level and the continuous reduction of green investment cost.
Parallel batch processing machines scheduling for SLM additive manufacturing in cloud manufacturing
Authors: Hong Shuangshuang , Wang Xiuli
Published: June 2024

For the scheduling problem of parallel batch processing machines for Selective Laser Melting (SLM) additive manufacturing in cloud manufacturing environments, an Improved Discrete Artificial Bee Colony algorithm(IABC) is proposed by considering the service time of the product as well as introducing the mathematical model of the problem. Firstly, a population initialization strategy is introduced to improve the quality of initial solutions and accelerate the convergence of the population.Secondly, through three neighborhood search operators, the transition from the original nectar source to the new nectar source is achieved for employed bees and following bees. Furthermore, a local search strategy and a modified abandonment pattern are proposed to increase population diversity and prevent the algorithm from falling into local optima.Finally, the performance of the algorithm is analyzed, and the IABC algorithm was applied to 36 examples. The effectiveness and advantages of IABC in solving the studied problem are verified through a large number of simulation experiments.
Study of data science in the managerial decision-making of enterprises
Authors: Zhu Lingyao
Published: June 2024

Big data has played an increasingly important role in global manufacturing, circulation, distribution, and consumption activities. The management mode based on data is remolding the management mode of enterprises. In the management control of enterprises, data science has become an important supporting tool for decision-making. It could help managers of enterprises to better understand and hold changes within and outside the environment of the enterprise so as to establish effective management strategies through data to excavate and discover correlations among mass data to predict management forms in the future. Firstly, this paper analyzes the difference between machine learning and deep learning from the technical level. Secondly, taking Zara for example to analyze how Zara takes advantage of data science to obtain competitive edge in the fashion industry. At last. This thesis has discussed advantages of data science in prediction and decision-making in the finance field through the method of literature review.
Data-Driven Approach to Enhancing Supermarket Vegetable Sales Strategies
Authors: Ding Yu , Zhao Xi , Abdurehim Azez
Published: June 2024

China's vegetable commodity production has developed rapidly and made great progress. Due to the short shelf life of most vegetable products, they cannot be sold the next day. Therefore, by studying the distribution law of sales volume and the relationship between categories and pricing, the supermarket can accurately predict the sales situation, reasonably arrange replenishment plans, and formulate pricing strategies. Comprehensive analysis of automatic replenishment and pricing strategies of vegetable commodities is of great significance to the profit of fresh supermarkets. Aiming at the automatic pricing and replenishment strategies of vegetable products, this paper visualizes each item and each category to obtain the distribution and relationship of time, sales volume, and sales frequency of different items and categories. Spearman grade correlation coefficient is used for correlation analysis, and a single linear regression model is established. The relationship between cost profit rate and cost, selling price, and total sales volume of each category is obtained. Then, the ARIMA prediction model is used to predict the automatic pricing and replenishment strategies for each category and each vegetable item during the week of July 1-7, 2023, and July 1, 2023.