bluuebunny/crossref_metadata_2025 huggingface dataset:
An Improved Harris Hawks Optimization Algorithm for Solving the Permutation Flow Shop Scheduling Problem
Authors: Li Xiaoyu
Published: June 2024

In this paper, an improved Harris Hawks optimization algorithm is proposed to solve the permutation flow shop scheduling problem with the objective of minimizing the completion time. Logistic chaotic mapping and inverse learning strategy are used to generate a high-quality initial population. A golden sine algorithm is introduced to improve the position update method. A nonlinear escape energy factor and adaptive t-distribution strategy are introduced to solve the problem of imbalance between the exploration and exploitation phases of the HHO algorithm. The effectiveness of the improved Harris Hawks optimization algorithm is verified by testing it on the Reeves benchmark test set and comparing it with other algorithms.
Research on the Influence and Mechanism of Music Aesthetics on Emotion Regulation
Authors: Luo Zining , Hua Yuchen
Published: June 2024

This study aims to explore the influence and mechanisms of music aesthetics on emotion regulation. Through literature review and empirical research, the relationship between music aesthetics and emotion regulation is analyzed, and key mechanisms are identified. The results indicate that music aesthetics have a positive impact on emotion regulation, helping individuals better manage their emotions and enhance emotional experiences. The theoretical framework includes relevant theories on music aesthetics and emotion regulation, with research methods involving quantitative analysis and empirical investigation. The discussion section interprets the empirical findings and discusses the implications of the study for theory and practice, while also addressing the study's limitations and providing suggestions for future research.
Analysis of the Current Situation and Enhancement Path of Huaihai Campaign Spirit Dissemination
Authors: Teng Wenyu
Published: June 2024

Red culture, as social memory, has an important influence in national development and social progress, carrying the lofty ideals of the great rejuvenation of the Chinese nation, embodying the great spirit of the times, and demonstrating the glorious history and fine traditions of the Communist Party of China. The revolutionary spirit embedded in the Huaihai Campaign is an indispensable part of the spiritual genealogy of the CPC. The sites and cultural relics and historical materials remaining from this historic battle bear witness to the heroic struggle of the revolutionary forefathers in a difficult environment, and these traces inspire the people to move forward with perseverance. This study explores the current dissemination status of the spirit of the Huaihai Campaign, in addition to analysing dissemination enhancement strategies using clustering, principal component analysis and random forest model. This study not only enriches the theoretical research on the spirit of Huaihai Campaign in the academic circles, but also helps to further condense the connotation and contemporary value of the spirit of Huaihai Campaign, so as to promote the dissemination of the spirit of Huaihai Campaign.
Compositional Analysis and Classification Study of Ancient Glassware Based on K-Means Cluster Analysis
Authors: Tan Yunxiang , Xu Mengyu , Zeng Yuanjun
Published: June 2024

The aim of this study is to gain a deeper understanding of the compositional characteristics of ancient glass artefacts and their relationship with the degree of weathering as well as the rules for subclassification of ancient glass based on compositional variations. Through detailed compositional analyses of high-potassium glass and lead-barium glass, the study reveals their significant differences in terms of SiO2 content, etc., and successfully divides them into subclasses by K-means clustering method, and the clustering results are verified by chi-square test, which shows its effectiveness in distinguishing the degree of weathering. The study not only provides a scientific basis for the classification of cultural relics, but also provides a methodology and preliminary conclusions for further excavation of information on ancient glass relics. This study is of practical significance for the conservation of cultural relics and in-depth understanding of ancient glass craftsmanship.
The Influence of Market Positioning on the Development of Sugar-Free Beverage Industry Enterprises
Authors: Wang Wubo
Published: June 2024

Sugar-free beverage industry is undoubtedly an important field in China's beverage market in recent years. The industry is in a period of rapid development, while the market size is expanding, and the demand of consumers for healthy diet is also increasing. In general, different brands have differences in market positioning and marketing strategies. Besides, those brands also face competitive pressure in the same industry. Brands compete for market share by innovating products, improving quality and expanding marketing channels. The present study mainly discusses the impact of differentiated market positioning on the enterprise development of three sugar-free drinks, namely Vitality Forest, Oriental Leaves and Suntory. On the whole, enterprises in the sugar-free beverage industry should pay attention to the health of products, enhancing competitiveness through innovation and differentiation, seizing the development opportunities of online sales and customized services, so as to cope with the changes of market environment and consumer demand.
Research on Alternative Pt-based or Non-Pt catalysts for Solid Oxide Fuel Cells
Authors: Jiang Jinchun , Wang Zehao , Chen Jianming
Published: June 2024

Nowadays, heavy environmental and economic pressure from energy consumption is increasingly evident, and the research and application of new batteries is an effective strategy to solve above problems. Fuel cell is a chemical device that produces electricity directly from chemical energy. It has attracted much attention due to its lightweight device, simple mechanism, and clean energy. In the operation of fuel cells, the efficiency and stability of cells are determined by the ability of catalyst in redox reactions. However, pure platinum or platinum-based catalysts commonly applicated in solid oxide fuel cells are normally expensive and not renewable. Therefore, it is particularly important to develop alternative Pt-based catalysts or non-Pt catalysts. In this paper, several alternative low-platinum or non-platinum catalysts are systematically investigated, and novel platinum-based and non-platinum multi-metal composite oxide catalysts are found to have higher catalytic activity and economic feasibility compared with pure platinum catalysts. The popularity of these new catalysts can effectively address the scarcity of resources and energy.
Physical Education Student’s Awareness in the Implementation of Disaster Management System: Inputs for Enhancement of Policy
Authors: Zeng Wei
Published: June 2024

This study by the researcher on Physical Education Student's Awareness of the Implementation of Disaster Management System: Inputs for enhancement policy specifically in the teaching-learning activities improvement through intended to know the level of awareness in teaching the teacher about the implementation of the disaster management system of the school in the sophomore PE students. The sophomore PE student-athlete respondents are mostly males and specialize in sports-inclined varied landscapes, with football,  track and field, and basketball emerging as the most prevalent sports specializations. This only shows that there are more male athletes involved. The respondents of the sophomore student-athletes are moderately aware of the implementation of the disaster management system specifically in the Prevention of the Disaster, Mitigation of the Disaster, Preparedness for the Disaster, and Assessing the Risks of the Disaster while Response to the Disaster and Recovering from Disaster. Therefore, the relevance of the results extends to the broader educational mission of promoting holistic development in student-athletes. By instilling a culture of preparedness, resilience, and civic responsibility, institutions can equip student-athletes with valuable life skills beyond the athletic field. holistic development in student-athletes. By instilling a culture of preparedness, resilience, and civic responsibility, institutions can equip student-athletes with valuable life skills beyond the athletic field. No significant difference exists in the assessment of student-athlete respondents on their profile. The focus group discussion among PE teachers who teach disaster management is just an integration that requires a further appreciation of the subject to be more effectively taught to students. Based on the conclusions derived from this study, this research came up with the following recommendations. It just shows that more male athletes are involved. It is prepared and knows the remedies that should be carried out in the event of a disaster. It is suggested that the institution have a specific organization for students who respond or help during a disaster to cultivate a culture of caring for others that student-athletes can lead because of their agile actions. Teachers who teach disaster management should think of more engaging activities to increase students' appreciation of cultivating a culture of caring for others during disasters regardless of their gender, age, and specialization in sports.
A Study of Employees' Willingness to Delay Retirement from an Industry Perspective
Authors: Su Fanxi
Published: June 2024

In recent years, due to China's aging population, pension insurance payment tension and other factors combined with China's specific employment situation, delayed retirement has gradually become one of the hot topics in all walks of life. The implementation of delayed retirement policy is an important task put forward by the Third and Fifth Plenary Sessions of the 18th Central Committee, and delaying the retirement age has been the general trend in China. The introduction and implementation of the policy of delayed retirement age involves the personal interests of employees in various industries, and the willingness of employees engaged in different jobs to delay retirement is an essential public opinion criterion for the introduction of the policy, and it will directly affect the specific implementation of the delayed retirement policy. For this reason, this paper will be based on the background of different industries to explore the willingness of employees to delay retirement research, will delay the implementation of the policy in different sectors of the resistance to materialization, for policy makers and business managers to provide scientific reference.
An Empirical Analysis of the Relationship Between ESG Factors and Corporate Performance
Authors: Li Xiyang
Published: June 2024

In today's globalized business landscape, a corporation's Environmental, Social, and Governance (ESG) performance has become a crucial metric for overall sustainability. This study delves into the empirical analysis of the connection between corporate ESG performance and economic performance, with a focus on the role of green innovation. Green innovation, a vital component of ESG, encompasses activities aimed at reducing environmental impact and improving resource efficiency. The study aims to unravel the internal mechanisms and influence paths of this relationship. The literature on the correlation between ESG performance and economic performance presents divergent perspectives. While some assert a positive link, contending that robust ESG performance enhances corporate reputation and operational efficiency, others argue that investing in ESG activities may raise costs and impact short-term financial performance. Through an analysis of publicly available corporate data, this study explores how green innovation, within the realm of ESG, shapes corporate economic performance. Factors such as corporate size and market environment are considered to ensure comprehensive applicability and profound insights. The study seeks to provide practical guidance for corporations in navigating the intricate balance between ESG responsibilities and economic objectives. Additionally, it aims to furnish policymakers with valuable recommendations to foster green innovation. Ultimately, by unraveling these complex relationships, the study endeavors to contribute to a deeper understanding of the interplay between ESG and economic performance, offering insights that can inform strategic decisions for both corporations and policymakers.
Pricing and Replenishment Prediction Model for Vegetable Commodities Based on Mixed Integer Linear Programming Optimization XGBoost
Authors: Chen Shan , Ma Yuying , Wu Qiutong
Published: June 2024

In fresh food superstores, the replenishment volume and pricing strategy of vegetables are affected by various factors such as seasonal seasons, supply demand, purchasing costs, and profits of vegetable categories. In this paper, we use the data related to the sales flow details and wholesale prices of each commodity from July 1, 2020 to June 30, 2023 as a dataset, and build a model based on the gradient boosting tree algorithm, XGBoost algorithm [1], to predict the total daily replenishment volume and pricing strategy of each vegetable category in the coming week (July 1-7, 2023) [2]. It is also optimized using a mixed-variable 0-1 linear programming (MILP) [3] model with decision variables including a binary variable of whether to order the vegetable category or not and a continuous variable of the number of vegetable categories ordered to compute the optimal replenishment volume and pricing strategy for July 1, 2023 for each item. Through the model in this paper, under the premise of meeting the market demand for each category of vegetable goods, while keeping the control within a specific range, the superstore can get the optimal replenishment plan and pricing strategy, reasonably allocate the resources of the warehouse space, improve the market competitiveness of the superstore, and maximize the revenue.
A Study on the Application of Python in Corporate Financial Analysis
Authors: Xu Yitong
Published: June 2024

This article examines the application value, current status, and challenges of Python in corporate financial analysis and proposes targeted solutions to enhance its extensive use in financial practices. Currently, despite Python being recognized as a key tool to bolster corporate financial analysis due to its robust capabilities in data processing and analysis, its application in finance departments is limited by several core issues: a general lack of programming knowledge among finance professionals, insufficient operational training, and a lack of policy guidance for digital technology transformation. To address these issues, the paper puts forward five recommendations: 1) leverage the guiding role of governments and accounting associations; 2) continuously improve higher education programs for finance and accounting talent, integrating programming skills with traditional accounting courses; 3) strengthen university-enterprise cooperation and deepen teachers' enterprise practice; 4) develop comprehensive internal training and incentive mechanisms within companies; and 5) transition from abstract application guidelines to detailed application instructions. These strategies aim to significantly enhance the Python application skills of finance personnel, drive the digital transformation of the financial industry, and thereby generate greater value for businesses.
The Current Status and Future Prospects of Carbon Capture, Carbon Transportation, And Carbon Utilization Technologies in Chinese Coal-Fired Power Plants Within the Context of Dual Carbon Goals
Authors: Fu Yao , Wang Yibo , Zheng Tongyang
Published: June 2024

Carbon dioxide capture, utilization, and storage (CCUS) constitute vital measures for achieving net emissions reduction in China. Against the backdrop of the “dual carbon” initiative in China, this paper meticulously examines and analyzes the key technological principles, merits and demerits, and bottlenecks associated with CCUS carbon capture in the country’s thermal power plants at the current stage. It combines the prevailing industrial application status and the future development trajectory of pertinent technologies with considerations of industrial economic benefits and business models. Building upon this analysis, the paper summarizes the application status of CCUS technology in China’s thermal power plant industry and presents future prospects. On the technological front, the three capture methods grapple with the challenge of high costs. Therefore, there is a need to intensify efforts in developing low-cost and efficient carbon capture materials, as well as researching and practically applying low-cost oxygen generation technology. Economically, CCUS technology currently faces high costs, low returns, and certain commercial barriers, placing China in a demonstrative business model stage. To overcome these challenges and realize the economic benefits of CCUS technology, government incentives and technological innovation are imperative. These measures aim to reduce the overall cost of CCUS technology, stimulate the scale development, and foster commercialization, ultimately contributing to the achievement of China’s carbon emission reduction targets.
Research on Stock Price Multi-Factor Prediction Model Based on Bayesian Model Averaging
Authors: Zhu Ruiqi
Published: June 2024

Factor mining is a crucial component in constructing stock price prediction and quantitative models, where factor mining methods based on feature dimensionality reduction, such as Principal Component Analysis (PCA) and sufficient dimensionality reduction, are widely utilized. However, the connection structure between the quantitative factors extracted using these methods and stock prices is unknown, leading to potential issues like overfitting or underfitting in prediction models. In light of this, this paper proposes a multi-factor prediction model based on Bayesian model averaging. On one hand, the proposed method employs the concept of model averaging instead of model selection, effectively balancing the variance and bias of prediction models. On the other hand, it can adaptively choose sub-models that play a crucial role in predicting stock prices, thereby enhancing overall prediction accuracy. Empirical data analysis indicates that the proposed method, compared to PCA-based Lasso and Ridge regression, exhibits smaller mean squared error and possesses a certain level of robustness. Lastly, by incorporating other model averaging techniques such as the Bagging algorithm, the generalization ability of the proposed method can be further improved.
Trends and Prospects for the Use of AI Technology in Language Courses
Authors: Zhong Xing
Published: June 2024

With the rapid development of Artificial Intelligence (AI) technology, its application in the field of education has received increasing attention. This study aims to explore the development trend and application prospect of AI technology in language courses. First, the basic concepts and principles of AI technology in language teaching are introduced. Then, it discusses the application of AI technology in the process of language learning, including adaptive learning, speech recognition, natural language processing and other aspects. Then, the application of AI technology in language course design and assessment and the impact on student learning outcomes are discussed. Finally, the development trend and application prospect of AI technology in language courses are outlook, and some relevant suggestions are put forward.
Evaluation of the Effect of Competition to Promote Innovation: The Impact of Failure of Entrepreneurship Competition on The Entrepreneurial Intention of Finance and Economics College Students
Authors: Gou Yaping
Published: June 2024

Activating college students' entrepreneurial intentions through entrepreneurial competitions is an important means of cultivating innovative talents, but few studies have explored how the failure of entrepreneurial competitions affects entrepreneurial intentions. A questionnaire survey was used to investigate the entrepreneurial intentions of 596 finance and economics college students and found that: ①After the failure of the entrepreneurial competition, the enthusiasm of the competition, the school's innovative atmosphere, and entrepreneurial ability stimulate the entrepreneurial intentions of college students; ②Fear of failure and the number of failures inhibit the entrepreneurial intentions of college students; ③Competition passion and school innovation atmosphere can alleviate the inhibitory effect of fear of failure on college students' entrepreneurial intention. In addition, the number of entries and the level of participation effort have no effect on the entrepreneurial intention of college students, but the level of participation effort improves the entrepreneurial ability of college students. The research conclusions inspire colleges and universities to strengthen the high-quality promotion of entrepreneurship competitions, improve the effect of "promoting innovation through competition", pay attention to the negative impact of failure of entrepreneurship competitions on students, create a good innovation atmosphere, enhance students' enthusiasm for participating in competitions, and explore the innovation and entrepreneurship education training of financial and economic college  students new mode.
Natural Vibration Analysis of a Simple Vibration Absorber
Authors: Wang Peng , Cao Heyun , Feng Xingxing , Wang Han , Zhang Hao
Published: June 2024

The slender rod + mass block system is a typical elastic vibration absorber structure, with a simple structural form and strong design ability. It has wide application in engineering. This paper focuses on the inherent vibration characteristics of elastic structures and discusses the effects of gravity and typical geometric parameters on the modal frequency of the absorber structure. The calculation results show that, under the action of gravity, the overall strain rate is very low, and the impact of gravity on the structure's vibration characteristics can be ignored. With the increase of the length of mass block, length of slender rod, and the diameter of the mass block or with the decrease of diameter of slender rod, modal frequency of the elastic structure gradually decreases. The research conclusions can provide reference for the optimization design of simple elastic structures in engineering projects.
Research of China's New Energy Vehicle Market Based on TOPSIS and LSTM Models
Authors: Tu Huiyi , Li Weiliang , Zheng Zijian , Li Yongqiang , Zhou Xingle
Published: June 2024

This research paper provides an in-depth analysis of the development trajectory of China's New Energy Vehicle (NEV) market, utilizing both the TOPSIS and LSTM models. The TOPSIS model is ingeniously applied to assess the development level of the NEV industry, identifying key factors such as government policies, charging infrastructure, public acceptance, technological progress, and economic indicators. Subsequently, the paper delves into the LSTM model, a specialized form of Recurrent Neural Network (RNN) designed for handling time-series data with long-term dependencies. The LSTM architecture, equipped with forget, input, and output gates, is trained to minimize Mean Square Error (MSE) and Root Mean Square Error (RMSE), thereby optimizing model performance and preventing overfitting. The predictive capabilities of the LSTM model are demonstrated through a forecast of NEV sales in China for the next decade, showcasing the model's effectiveness in capturing market dynamics and growth trends. The integration of TOPSIS for evaluative analysis and LSTM for predictive forecasting offers a robust framework for understanding and anticipating the complexities of the NEV market.
Fault Distance Measurement Method Based on Wavelet Energy Spectrum and BWO Algorithm Optimized CNN-GRU Hybrid Neural Network
Authors: Tian Haipeng , Wu Hao
Published: June 2024

Aiming at the problems such as noise interference in the current fault ranging methods for flexible DC transmission lines, a single-ended intelligent fault ranging method is proposed as a hybrid neural network based on wavelet energy spectrum and BWO algorithm to optimize the multi-head attention mechanism of CNN combined with gated recurrent unit GRU. First, the correlation between wavelet spectrum energy and fault distance is analyzed, and wavelet packet decomposition is used to extract the wavelet packet energy spectrum feature vector as the model input of the neural network. Second, the hybrid neural network model is constructed and trained to mine the deep fault information in the time series, and the parameters of the hybrid neural network model with added multi-head attention are optimized using the iterative optimization search of the beluga algorithm to achieve fast and accurate positioning of the fault distance. Finally, the network is trained using the constructed four-terminal Zhangbei flexible DC transmission system model to collect data, and the experimental results prove that the method has high distance measurement accuracy, strong anti-interference ability and generalization ability, and a certain degree of resistance to transition resistance.
Research on Key Problems and Optimization Based on Structural Design of Super High-rise Buildings
Authors: Wang Junjie
Published: June 2024

At present, complex super high-rise buildings and super high-rise buildings are emerging all over China, but there are still many problems to be solved in the design of super high-rise structures. For example, the wind pressure and earthquake risk of high-rise buildings, fire safety issues and personnel evacuation issues, earthquake will produce greater inertia force and bending force in high-rise buildings, wind load and wind pressure effect will be more significant, these are the parts that need to be carefully considered to ensure the safety and stability of the building structure. Therefore, it is necessary to analyze and optimize the problem of high-rise buildings. Taking a super high-rise building in Luohu District of Shenzhen City as an example, this paper analyzes the basic structure of super high-rise building, analyzes the key problems of structural design, and discusses the optimization method. This paper puts forward the optimization design method of building structure for seismic problem of super high-rise building structure, puts forward the solution to wind resistance problem, and puts forward the optimization layout method of building fire protection.
Research on the Innovation and Optimization of Cross-Border Electronic Commerce Marketing Strategies Under the "Belt and Road"
Authors: Sang Mengying
Published: June 2024

The "Belt and Road", as a significant international cooperation strategy proposed by China, has fostered economic development and trade exchanges among the countries along its routes, presenting unprecedented development opportunities for cross-border electronic commerce. Due to objective factors, traditional marketing strategies can no longer meet the current development needs of cross-border electronic commerce. Therefore, based on the actual development situation, optimizing and perfecting marketing strategies is key to the development of cross-border electronic commerce enterprises at this stage. This paper first analyzes the environment of cross-border electronic commerce marketing under the "Belt and Road" perspective, including policy, economic, and cultural aspects. For various issues, it proposes paths for innovation and optimization in product strategy, pricing strategy, channel strategy, and promotion strategy. The research not only helps promote the innovation and optimization of cross-border electronic commerce marketing strategies but also provides a useful reference for promoting economic and trade cooperation and cultural exchange among the countries along the "Belt and Road".
Foreign Divestment and High-Quality Development of State-Owned Enterprises
Authors: Qin Xin
Published: June 2024

In China, state-owned enterprises (SOEs) are a crucial pillar and leading force in the national economy, with their high-quality development having a significant impact on the country's economic progress. In recent years, the pace of foreign investment entering China has notably slowed, and the relocation of foreign enterprises from certain industries has increased, making foreign divestment a reality that cannot be ignored. This paper selects data from Chinese A-share listed state-owned companies from 2013 to 2022 as the initial research sample to empirically analyze the impact of foreign divestment on the high-quality development of SOEs. The study finds that: (1) Foreign divestment significantly inhibits the high-quality development of SOEs. (2) Foreign divestment can suppress the high-quality development of SOEs by exacerbating financing constraints, reducing innovation output, and diminishing corporate competitiveness. (3) Implementing a differentiated strategy intensifies the inhibitory effect of foreign divestment on the high-quality development of SOEs, whereas mixed-ownership reform and the digital economy can mitigate this impact. Additionally, the heterogeneity test in this paper reveals that the inhibitory effect of foreign divestment on the high-quality development of local SOEs is stronger than that on central SOEs. Regionally, the inhibitory effect is most pronounced in the eastern regions. This paper enriches the research on foreign divestment and high-quality development of SOEs, exploring the heterogeneous impacts on central and local SOEs and SOEs in different regions, which aids in formulating targeted policy measures to enhance the risk resistance of SOEs and promote their high-quality development.
Application of Nanotechnology in Organ Transplantation
Authors: Wang Ziyan
Published: June 2024

Organ transplantation can serve as a blessing for end-stage organ patients, and issues such as organ shortage and transplantation risks also make research on organ transplantation very important. Nanotechnology involves the development of materials called nanoparticles, which are defined as having a one-dimensional range of at least 1 to 100 nm. This paper introduces the application of nanotechnology in overcoming the drawbacks of traditional medicine, and its nanoscale size has also contributed to organ transplantation. The combination of Magnetic resonance imaging (MRI) and Magnetic hyperthermia (MHT), nanoparticles can better capture transplant medical images, and nanotechnology plays an important role in monitoring treatment responses and designing organ transplantation methods. CRISPR/CAS9 system and Entrancer™ can reduce the role in rejection reactions. Normothermic Machine Perfusion (NMP), protein corona, and curcumin can reduce their effects on ischemia-reperfusion injury. The development of nanomedicine can provide a platform for significant progress in transplant vitality. In future research, nanoparticles can also be applied in 3D bioprinting and artificial intelligence (AI) to better assist in transplant therapy.
Comparison and analysis of discharge standards of rural domestic sewage in different regions
Authors: Jiang Zinan
Published: June 2024

China rural habitat remediation work has made significant progress. As part of this effort, various regions have implemented rural sewage treatment pollutant discharge standards, taking into account their unique economic foundations, management levels, and characteristics of rural sewage discharge. A comparative analysis of the rural domestic sewage discharge standards in the southeastern and northwestern regions of China reveals that these standards primarily consider the water environment quality of the receiving water bodies. However, there are substantial variations in pollutant concentration limits for rural sewage discharged in different regions. This research aims to guide the transition of rural sewage treatment from high-standard discharge to resource utilization. Additionally, it seeks to provide valuable insights for the selection of sewage treatment technologies, models, and governance strategies in different regions of China.
Prediction of Different Types of Mobile Phone Prices based on Machine Learning Models
Authors: Chen Yiwei
Published: June 2024

In contemporary society, mobile communication technology is advancing rapidly. People's lives have become more convenient, significantly driving the development of human society. As mobile communication introduces many new and practical technologies, people are increasingly inseparable from it. Mobile phones, as a form of mobile communication, have gradually integrated into people's lives and become a crucial and irreplaceable product. With the continuous popularization of smartphones and the increasing richness of mobile content, choosing a cost-effective phone has become a crucial decision for many. This article is based on hardware data and prices from a dataset comprising 2000 already-released smartphones. Machine learning techniques, specifically the K-Nearest Neighbors (KNN) model and linear regression model, are employed to predict the prices of these smartphones. The study reveals that both the K-Nearest Neighbors (KNN) model and the Linear Regression model can be utilized for predicting smartphone prices. However, the KNN model exhibits a slightly higher accuracy. Specifically, when K is set to 16, the accuracy of the KNN model reaches 93.3%. The Linear Regression model achieves an accuracy of 91.3%.
Research on Project-Based Learning Design for Secondary Vocational School English (Technical Modules) Teaching from the Perspective of STEAM
Authors: Yi Qinxingyue
Published: June 2024

The English teaching in secondary vocational education is required to create real learning scenario for students, especially for the vocational module teaching, so that students can get more efficient exercises in their language practice and application abilities. Thus, applying PBL and STEAM into secondary vocational school English teaching is of great assistance to the achievement of learning objectives and the improvement of the talent cultivation and enhancement of comprehensive abilities for students. Thus, the paper proposes an innovative PBL teaching design based on STEAM to activate the secondary vocational school English teaching. The aim is to facilitate the efficiency of English education in secondary vocational school. Then, there is much possibility of meeting national needs, market demands and enhancing students’ employability.
Research on Dynamic Pricing Strategy of Fresh Supermarket Based on ARIMA and Integer Programming Model
Authors: Chen Zhuoxin , Liu Wenlu , Lin Zhongyan
Published: June 2024

The study of automatic pricing and replenishment decision-making of vegetable products is a key measure for modern fresh food merchants to pursue high efficiency, accuracy and competitiveness. In this paper, the time series ARIMA(p,d,q) model and 0-1 integer programming model were used to realize the intelligent replenishment and pricing decision of fresh supermarkets, so as to ensure the reasonable pricing and sufficient inventory of vegetable products and meet the changing market demand. This paper obtains the replenishment strategy in the next week and the maximum profit of vegetable sales in Supermarket on July 1 is 3831.2 RMB.
A new insurance evaluation system based on Analytic Hierarchy Process and Delphi method under natural disasters
Authors: Han Keyu
Published: June 2024

Overall, it is crucial for insurance companies to develop a new insurance model that can effectively handle natural disaster-related compensation. Firstly, in this paper, data related to the losses caused by natural disasters in countries around the world are collected and pre-processed. Secondly, a new insurance evaluation system under natural disasters is established by using Analytic Hierarchy Process and Delphi method. Through the analysis, it is concluded that when the risk factors exceed the threshold, the insurance company should bear the relevant risks. Then, this study analyzes various customer behaviors when insurance companies face the influence of decision. Eventually, in order to propose the final insurance model and improve the accuracy of the new insurance evaluation system, natural disaster data from 146 countries in 2022 were selected. In addition, 35 factor variables related to natural disasters were added to improve the accuracy of parameters estimated by regression equations, resulting in an optimal goodness of fit of 0.99. Through the establishment of a new insurance evaluation system, this paper can provide theoretical support and technical reference for the government to manage the insurance market under natural disasters in a more efficient and effective way.
The Relationship Between Extra Curricular and Student Grades
Authors: Jiang Feng , Wei Huisuan
Published: June 2024

There is no consensus on the current research on the impact of extra curricular on student academic performance, with existing studies suggesting a significant positive impact [1], Some studies also suggest that there is no significant impact [2], Some studies even suggest a significant negative effect [3]. In addition to studying the impact of extra curricular on overall academic performance of students, some scholars have conducted research on the impact of extra curricular on the academic performance of different students. As Berberoglu and Tansel found, high school students in Turkey who participate in extracurricular tutoring have significantly better math and language grades, but their natural science course grades do not show a significant advantage [4]. The research results indicate that extra curricular can indeed improve students' scores and cognitive abilities to a certain extent. Through strengthened explanations in extra curricular, children can actively solve knowledge points that they do not understand in school classrooms, guide them to actively think and conduct practical exploration, consolidate their understanding of knowledge points, effectively broaden their horizons, and establish correct self-esteem. Some studies also suggest that children may lose a relaxed and enjoyable childhood due to additional after-school tutoring. And my viewpoint leans more towards the latter. Children's growth is a lifelong thing, but losing a beautiful childhood life is irreversible.
Does Directors and Officers Liability Insurance Exacerbate Management Short-Termism?
Authors: Xian Runmei
Published: June 2024

This paper utilizes data from publicly listed companies spanning the years 2008 to 2022 to examine the influence and underlying mechanisms of Directors and Officers Liability Insurance (D&O insurance) on management short-termism. The analysis reveals that the acquisition of D&O insurance exacerbates the level of short-termism among corporate executives. This result withstands robustness tests employing various fixed effects, additional control variables, and sub-samples. The further mechanism analysis has discovered that the purchasement of D&O insurance exacerbates the management short-termism by alleviating corporate financing limitations, resulting in enormous influence among enterprises in large scales and companies that are not supervised by the big four accounting organizations.The findings of this research contribute valuable considerations for listed companies contemplating the acquisition of D&O insurance, offering meaningful insights for both corporate entities and regulatory authorities.
Study on the Learning Strategies of Chinese High School Students Using English as a Second Language
Authors: Cao Shasha
Published: June 2024

By analyzing the theory of second language learning strategies, this paper discusses the common mistakes of senior high school students in the process of English learning, and puts forward the problems that should be paid attention to in the application of second language learning strategies in senior high school teaching.
Exploring Related Progress in Asthma Treatment Based on The Pathogenesis of Asthma
Authors: Chen Boyuan
Published: June 2024

Asthma is a disease widely distributed in the world, and mainly produced by allergens stimulating the respiratory tract. At present, the treatment of this disease is mainly the combination of glucocorticoids and other drugs such as β-receptor agonists, vitamin D, montelukast sodium and so on. Bronchial asthma in children can lead to airway remodeling and other symptoms, but the specific pathogenic factors are not clear. This article reviews the recent studies on the pathogenesis, pathogenesis and treatment of asthma. It was found that the occurrence of asthma could be effectively controlled by keeping away from allergens and using vitamin D and other drugs combined with glucocorticoids. The causes of asthma are extremely complex, not only involving external factors but also involving its own factors, such as nervous, endocrine and immune systems. This paper analyzes the factors involved in asthma in a single way, and future research needs to focus more on the analysis from a comprehensive perspective. Vitamin D has the prospect of becoming an effective treatment for asthma in the future.
Comparison of the Different Celestial Length Measurements Approaches: Trigonometric Parallax, Cepheids and Type Ia Supernovae
Authors: Chen Leyao
Published: June 2024

As a matter of fact, astronomical measurements are one of the important topics in astronomy especially in recent years, with significant implications for spacecraft navigation within the solar system, stellar modeling, cosmic scales as well as the evolution. On this basis, this study presents several existing measurement methods and provides detailed explanations of three commonly used methods, i.e., trigonometric parallax, cepheid, and type Ia supernovae. To be specific, the principles as well as instruments associated with these methods are detailly discussed and analyzed. According to the analysis, the typical observations as well as current state-of-art results are also presented. At the same time, the current limitations such as equipment resolution, model calibration, and differentiation of background galaxies are compared and clarified. Furthermore, the prospects for future updates and developments of new approaches are also explored in the meantime. Overall, these results shed light on guiding further exploration of length measurement for celestial.
Preface: 3rd International Conference on Media, Art, Management and Educational Engineering (MAMEE 2024)
Authors: Galsworthy Maria , Zhang Wen
Published: June 2024

We are so delighted to announce that 2024 3rd International Conference on Media, Art, Management and Educational Engineering (MAMEE 2024) was successfully held in Vienna, Austria during March 23-24, 2024. The conference aimed to provide a platform for interdisciplinary cooperation and communication for young scholars to lighten academic atmosphere, encourage innovation, create cooperation opportunities, and boost young scholars' growth.
About 45 participants from academic, high-education institutes and other organizations took part in MAMEE 2024. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 10-15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches.
With the forum based on the display of the frontiers, we invited well-known experts and scholars as well as the outstanding youth to deliver academic reports. It is expected that MAMEE 2024 can provide a free academic atmosphere to encourage our distinguished guests to share their views, ignite new ways of thinking and harvest new ideas. This international academic conference aims to further promote exchanges and cooperation, to play an active role in improving academic standing and international influence in the areas of mass media, new media, art design, public art, management system, human resource management, distance education, and educational engineering as well as shortening the gap with the top subject in the world.
MAMEE Organizing Committee
Vienna, Austria
Topic Mining and Evolution of U.S. Mainstream Media Reporting on “Belt and Road Initiative” (2013-2023)
Authors: Wu Yongjin
Published: June 2024

The year 2023 marks the 10th anniversary of the the Belt and Road Initiative. A comprehensive analysis and evaluation of mainstream media reports in the United States offer valuable insights into the overall understanding and strategic trends of the United States over the past decade. Such insights hold significant importance for shaping the future development of the Belt and Road Initiative. This study utilizes Factiva’s extensive self-compiled “Belt and Road Initiative” news corpus, employing social network analysis, multiple correspondence analysis, and co-occurrence network analysis to visualize the topic distribution and evolution in American media reports on Belt and Road Initiative. The identified topics in American “Belt and Road Initiative” reports encompass transportation, finance and trade, diplomacy and politics, science and technology, ecological environment, and medical care and health. From a diachronic perspective, the evolution of US “B&R” reporting unfolds in three distinct stages. The period from 2013 to 2015 is characterized by a focus on macro-policy reports, shifting to economic and technological reports from 2016 to 2019. The subsequent stage, spanning 2020 to 2023, centers on ecological sustainability and debt reporting. Furthermore, this study observes that the content of US “B&R” reports exhibits a pronounced political nature, gradually leaning towards characterizing Belt and Road Initiative as China’s geostrategic layout for developing countries.
Corporate Innovation Mechanisms in The Yangtze River Delta Catalyzed by Digital Finance: Research on The Impact of Financing Constraints and Corporate Digital Transformation
Authors: Li Wei , Cheng Hao
Published: June 2024

Taking the data of Shanghai and Shenzhen A-share enterprises in 41 cities in the Yangtze River Delta (YRD) region from 2012 to 2022 as research samples, we constructed two-way stationary models, mediation models, and carried out research on the impact of digital finance on enterprise innovation in YRD. The results of full-sample regression show that digital finance has a positive role in promoting enterprise innovation, and all three sub-dimensions of digital finance have a significant role in promoting enterprise innovation. The results analysed through the mediation effect show that digital finance can promote the motivation of enterprise innovation by alleviating the financing constraints and providing more financing channels for enterprises, so that enterprises can have wider access to financing funds. By providing financing support, data analysis tools, cooperation platforms and technological innovation, digital finance effectively promotes the digital transformation of enterprises, which in turn promotes the innovative development of enterprises.
Analysis of Ways to Optimize the Teaching of High School Ideological and Political Courses from the Perspective of Intersubjectivity
Authors: Chen Ping , Yuan Xuezhe
Published: June 2024

The theory of intersubjectivity advocates the educational mode of equality, interaction and dialogue of "two subjects", which changes the educational mode of subject and object, and has an important role in optimizing the ideological and political teaching in high school. Optimizing the teaching path of high school ideological and political course based on intersubjectivity is helpful to promote the comprehensive development of students, improve teachers' teaching ability and enhance the effectiveness of ideological and political education. We should break through the concept level and construct the intersubjective teaching mode. Enrich the content level to realize the unification of theory and practice; Promote innovation at the mode level and build a bridge of two-way interaction between teachers and students.