bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Implementation of Smart Teaching for Computer Courses in Colleges and Universities Enabled by Artificial Intelligence Technology
Authors: Wang Kan 
Published: February 2024

Abstract
In this study, an intelligent decision support system for education was successfully constructed by integrating data mining techniques, evaluation similarity matrix and novel braided net clustering method. Based on the evaluation similarity matrix, this system brings together decision-making members with similar views through clustering analysis. It calculates these categorized groups’ preferences, consistency indexes, and decision values to derive the optimal solution. The research in this paper empirically validates the effectiveness of the intelligent decision support system against the background of actual teaching scenarios and with all students in their classes as the research subjects. The validation results show that in the Powerpoint Practical and PS Practical tests, the average scores of the students in the experimental class reached 87.1 and 86.2, respectively, and this score is significantly higher than that of the control class. In addition, in the Analysis of the four dimensions of pre-course learning behavior (including interest in learning, attitude toward learning, etc.), the mean values of the experimental class (4.46, 3.99, 3.89, 4.18) were also significantly higher than those of the control class (3.2, 2.73, 2.94, 2.89). The application of the Intelligent Decision Support System increased students’ learning interest and effectively improved their performance in both machine and written tests. The main effect of its teaching method is significant with an F-value of 18.029 and a P-value of less than 0.001. The results of this study confirm the practical application of intelligent decision support systems in teaching and learning, and provide a new methodology and perspective for computer-intelligent teaching.
National Image Construction Based on Multimodal Translation in the Context of Big Data
Authors: Wang Lun 
Published: February 2024

Abstract
This study focuses on the public’s perception of a specific country’s image, and adopts comment texts from multimodal translated materials as the object of analysis. A country image text perception model was established by combining the TextRank algorithm and the LDA topic model. The model extracts and categorizes themes from the collected comment data, and discusses in depth the different themes of country image and their degree of attention. It is found that the most popular theme is “economic dimension”, with a heat degree of 42.59%, followed by “regional development” and “political dimension”. This reflects the high level of public interest in these areas. In addition, the study quantified the public’s emotional disposition towards the country’s image and found that most people have a positive attitude towards the country, with a high percentage of positive sentiment of 84.89%, but most of them are mildly positive. This suggests that although the public’s overall perception tends to be positive, there is room to improve the country’s image and enhance the public’s positive perception.
Analysis of the correlation between balance ability of Wushu athletes and their physical training loads
Authors: Zhang Lili 
Published: February 2024

Abstract
This paper focuses on 30 Wushu athletes of different age groups as a research sample, and uses the improved gray correlation analysis to explore the relationship between balance ability and physical training load. Finding the correlation from the time series of randomness can provide the basis for the factor analysis, the precision analysis of prediction, and then determine the main factors. The test results of load and balance ability are briefly analyzed by setting up the measurement indexes of balance ability and three kinds of physical training programs of load. It can be seen that the average value of one-legged closed-eye standing time after HIIT and FATmax interference is 64.24 and 46.9 respectively, which is increased. Then the gray correlation method was used to analyze the HIIT, FATmax and each balance force index, and it was concluded that in the gray correlation analysis, the value of ρ is usually taken in the range of {0,1} interval, and according to the experience, here ρ is taken as 0.5. The correlations in the results were all above 0.5, which indicated that the selected indexes had a high degree of correlation with the balance force. The HIIT is the major closed-eye one-legged standing performance of the Wushu athletes influencing factor with the highest correlation.
Environmental Art Design of Tourist Attractions with Regional Culture Fusion and Digital Innovation
Authors: Chen Zhanfang , Song Dan 
Published: February 2024

Abstract
In the rapid development of society, the combination of information technology and scenic environmental art design is getting closer, bringing a new creative perspective and broad space for the design field. This paper explores the integration path of information technology, regional culture and environmental art design based on this trend. It puts forward an innovative optimization strategy of ecological art design for tourist scenic spots and successfully applies it to scenic places. To verify the effectiveness of this design strategy, the article adopts BP neural network model. It combines it with genetic algorithm for deep optimization to enhance the objective evaluation of the design results. To verify the effectiveness of this design strategy, the article adopts the BP neural network model. It combines the genetic algorithm to optimize it in depth, enhancing the objectivity of evaluating the design results. After rigorous testing and analysis, the design strategy of this paper has achieved remarkable optimization effects in the lighting, ecological and cultural design of the scenic area, especially in the picturesque area of mountain diversity and forest landscape, showing a high degree of diversity, the average value reached 4.75% and 4.75% respectively. At the same time, the average value of the planting proportion of native tree species surpasses 4.6, which proves that the optimized design strategy plays a crucial role in protecting and enhancing the ecology and culture of the scenic spot.
Information Integration Technology Helps the High Quality Development of Chinese International Education
Authors: Sun Yipeng 
Published: February 2024

Abstract
As China’s position in the international arena continues to rise, and its interaction with the rest of the world increases, Chinese language international education has received widespread attention and developed rapidly. Based on information fusion technology, this paper constructs a vocabulary frequency analysis model that combines Bayesian estimation and D-S evidential reasoning, specifically used to calculate the hotness value of Chinese language international education. In the in-depth analysis of the Chinese language international education field, high-frequency words reflect the core themes in teaching and learning. At the same time, centrality indicates the degree of interconnection among the research themes. In the in-depth analysis of the Chinese international Education field, high-frequency vocabulary reflects the core teaching and learning themes, and the centrality indicates the degree of interconnection among the research themes. The frequency of Chinese as a foreign language is as high as 170 times, with centrality reaching 0.33, and these high-frequency keywords constitute the cornerstone of the development of Chinese international Education in China. When analyzing the data of the foreign students coming to China, it is found that the Number of Asian students accounted for 59.29% of the total number of 274976 students by the end of the study period. By 2022, the number of colleges and universities enrolling international students in China will increase to 831, and the Chinese global education market will reach 7.56 billion yuan in 2022, showing a saturated market status. The information fusion technology adopted in this paper not only reveals the development trend of Chinese international Education, but also provides a powerful analytical tool to promote the high-quality development of this field. A powerful analyzing tool.
A study on the administration of career guidance to college students in higher education based on mental health education assessment data
Authors: Wang Lang 
Published: February 2024

Abstract
Currently, college students are facing severe employment challenges. To address this, this study uses mental health education assessment data to explore how to optimize the employment guidance and management of college students in order to enhance their employability and psychological adaptability. Decision tree algorithm and improved K-means clustering algorithm are used to analyze the mental health assessment data in depth. Data mining techniques were used to identify students’ employment tendencies and psychological characteristics so as to develop personalized employment guidance strategies. It was found that the accuracy and effectiveness of career guidance can be effectively enhanced through a data-driven approach. Specifically, the accuracy of predicting employment tendency using the decision tree model reaches 85%, while the application of the improved K-means algorithm for clustering analysis of students’ psychological characteristics enables more precise customization of employment guidance strategies. Comprehensive data analysis and psychological assessment can significantly improve the quality of employment guidance for college students. Colleges and universities should pay attention to the use of mental health assessment data, combined with data mining technology, to optimize career guidance and management, in order to help students better adapt to the workplace and enhance their employment competitiveness.
Research on Development of Higher Vocational Education Resources and Construction of Management System under Learning Migration Theory
Authors: Wei Hanwu 
Published: February 2024

Abstract
This paper discusses how to construct a higher vocational education resource development and management system under the framework of learning transfer theory in order to improve the utilization efficiency of educational resources and the quality of education. This study explores how to effectively develop and manage higher vocational education resources under the guidance of learning transfer theory. This paper constructs a new resource management framework for higher vocational education by adopting the statistical and geometric migration criterion. The study results show that the utilization efficiency of higher vocational education resources is significantly improved through the transfer learning algorithm, for example, the matching degree of learning resources is increased by 30% and the teaching effect is enhanced by 20% after applying the transfer learning method. In addition, student learning effectiveness increased by 25% by implementing an improved learning migration framework. The study’s conclusion points out that the development and management of higher vocational education resources can be effectively optimized through the rational use of transfer learning theory, thus improving the quality and efficiency of teaching.
Analysis and Research on Mine Safety and Management Methods in the Context of Big Data
Authors: Xu Jie 
Published: February 2024

Abstract
The optimization of mine safety and management methods is critical in the context of big data. This study will explore improving mine safety and management efficiency by utilizing CPS. A mine data interaction mechanism is constructed using CPS technology to realize efficient data collection and processing. The study profoundly explores the data interaction of end devices and the value model of computing resources by analyzing the mine CPS perceptual execution layer. The results show that CPS technology can significantly improve the efficiency of mine safety management. For example, the introduced CRV incentive mechanism significantly improves the utilization efficiency of computing resources. In addition, this study also explores the scheduling strategy of computing resources under multi-objective constraints and the implementation of mine scheduling based on the MOCA-PSO algorithm, which effectively optimizes resource allocation and utilization. The conclusion shows that applying big data technology and CPS can effectively improve mine safety and management, which is of great significance in guiding the future development of the mining industry.
Application of FinTech in Digital Banking Operations in the Information Age
Authors: Fang Qianqian 
Published: February 2024

Abstract
In recent years, the rapid development of FinTech has attracted widespread attention globally. It not only brings unprecedented challenges to the financial industry, but also inspires significant reforms and innovations in banks’ internal operations. In this paper, based on the support of fintech, the Harris Hawk algorithm is used to optimize the GRU algorithm to construct an efficient digital operation system for banks. This system focuses on improving and enhancing the operation work of different business areas within the bank. After applying this system, the bank has combined fintech with risky operational work, resulting in an average capital adequacy ratio of 12.97, which is strong evidence of the bank’s high affordability in risk management. In addition, the banks’ efficiency of technological advancement grew at an average annual rate of 0.4%, which is the most significant change, showing a trend of growth in tandem with total factor productivity. The scale efficiency has an average annual growth rate of 0.5%, which further demonstrates the system’s significant effectiveness in enhancing banks’ operational efficiency. The system proposed in this paper can effectively promote the digitization process of bank operations and significantly improve banks’ operational efficiency and risk management capability.
Chemical Automation Control Based on Intelligent Optimization Algorithm in the Background of “Internet+”
Authors: Huang Xianglong 
Published: February 2024

Abstract
Driven by artificial intelligence technology and the popularization of the “Internet +” concept, many chemical enterprises have gradually transformed to production automation. However, regarding automation control, these enterprises often still have certain deficiencies. Because of this, this paper proposes an ant colony optimization algorithm to find the best path for the automation control of chemical enterprises. It builds a chemical automation control system based on it. This system mainly focuses on monitoring and managing various aspects of chemical enterprises. After introducing this control system, it conducts in-depth research and Analysis on the production capacity and equipment safety of enterprises. Test results show that the chemical control system constructed in this paper can effectively maintain the standard output of the production equipment in the interval of [16,25] per second, and the maximum output per hour is up to 1017. At the same time, the quality of the production products of the PPM index value continues to be at a high level. In addition, the automated control system can provide early warning of potential equipment hazards by monitoring different levels of current fluctuations. The chemical automation control system proposed in this paper shows excellent performance in detecting and controlling the automated production process in chemical companies.
Digital Application of Construction Project Cost Risk Control and Management Based on BIM Technology
Authors: Li Xiufang , Jia Xiaorui , Huang Mingqiang 
Published: February 2024

Abstract
The core objective of this study is to explore the application of BIM technology in the whole process of cost management of construction projects and to assess the project risk. The study covers the key stages of project planning, design, transaction and construction, and focuses on analyzing the cost management process of investment decision, design estimate, transaction and construction. Through questionnaire surveys and expert interviews with 72 valid samples, this study collects data on green building and analyzes the quality of the risk assessment data. Through questionnaire survey and expert interviews with 72 good samples, this study collects data on green building and analyzes the quality of the risk assessment data. In establishing the BIM-based project cost risk model, the study analyzes the management elements of BIM and IPD in detail, including the quantification of technical and management components. three case projects show that the application of BIM and IPD technologies in different projects has different focuses, and produces other management effects. for example, the number of engineering changes (e.g., the number of changes to the project) exhibited by the project B For example, the number of project changes (NCO) is 35, the cost change rate (COP) is 0.93%, the duration change rate (DCP) is −10.25%, and the number of contract negotiations (NRFI) is 6. The risk evaluation model is applied in a mixed-use project in Xiamen, China, and the results of the simulation experiments show that the method is effective in realizing the risk assessment of the construction project, and the clustered nature of the output features is good. The average value of the risk fuzzy variable is 0.576, and the minimum value is 0.192.
Cross-border E-commerce Business Data Processing in the Background of Digital Economy
Authors: Mo Haiyan , Huang Tao 
Published: February 2024

Abstract
This paper analyzes the cross-border e-commerce industry chain, and explores its customer value and impact on marketing strategy through data mining techniques.The whole process data mining methodology of data cleaning, integration, selection, transformation, mining, pattern evaluation and knowledge representation is adopted to deal with the cross-border e-commerce data.This paper focuses on the analysis of the customer value, the construction of the user profile, and the user behavioral patterns based on RFM model.The results show that the customer value is mainly determined by the customer life cycle and the purchase rate. The results show that the customer life cycle and purchase rate mainly determines the customer value of cross-border e-commerce.In the construction of user profiles, the characteristics and behavioral patterns of different users can be effectively identified through data standardization and the construction of user attribute models.The RFM model reveals the different levels of the user’s activity level, consumption ability and consumption value, which provides the basis for formulating differentiated marketing strategies.The data show that among the 4,130 user samples, the user behaviors and behavioral patterns were identified through clustering and knowledge representation. In the sample of 4130 users, cluster analysis shows that most of the users (72.64%) are ordinary customers. In contrast, the proportion of high-value customers (VIP customers) is only 0.24%, which suggests that cross-border e-commerce platforms need to formulate corresponding service and marketing strategies for different user groups to improve customer satisfaction and purchase conversion rate. At the same time, the cross-border e-commerce industry is experiencing changes such as platform fission, marketing innovation, and sinking of service targets, which poses new challenges and opportunities for e-commerce platforms’ operation and management.
Current Situation and Trend of Internationalization Development of Higher Education in the Context of Internet
Authors: Chen Lijie , Liang Guanping 
Published: February 2024

Abstract
Under the background of the Internet era, this article emphasizes the importance of internationalization of higher education in the strategic adjustment and acceleration of opening up to the outside world. The article analyzes the internationalization development policy and talent cultivation mode of higher education. It applies structural equations and kernel principal component analysis to study the influencing factors of internationalization of education and the level of its development. Taking the 12 colleges and universities in the city of M as the objects of the study, the impact of these indicators on the development of internationalization of education is explored after constructing the indicators of internationalization of education. After making the evaluation indexes of internationalization of education, the influence of these indexes on the development of internationalization of education was explored, and the principal component coefficients of the indexes and the principal component scores of the universities were calculated through principal component analysis to assess the development level of internationalization of education in the universities. The results showed that all the influencing factors were positively correlated at the 0.05 significance level, and the standardized coefficients ranged from 0.1 to 0.5, which indicated that these factors had a medium degree of influence on the internationalization of education. In particular, the correlations with the number of foreign exchange students, the number of visitors and the number of professional teachers are high, so the article suggests expanding the enrollment of foreign students and strengthening international exchange and cooperation to further improve the level of internationalization of education.
RPA Technology Enables Highly Automated Development of Corporate Financial Accounting Processes
Authors: Yao Meiqin 
Published: February 2024

Abstract
The article discusses the application of RPA (Robotic Process Automation) technology in financial management and demonstrates its remarkable effectiveness in improving efficiency and reducing costs. The article establishes an automated accounting method for enterprise finance using RPA technology through statistical analysis, classification processing, and feature extraction of enterprise financial data. The consistency check method is used to verify the fit and reasonableness of the method. Practically applied to the financial accounting process of Enterprise A, the method dramatically reduces the time for reconciling bonds and funds from 60 minutes to 2 seconds, significantly improving the accounting efficiency. In addition, the method ensured that the accuracy of statement filling reached 100% and reduced the labor cost of enterprise accounting from 17.58 million yuan to 6.88 million yuan, a reduction of 2.56 times. The article emphasizes that the established financial accounting method increases the enterprise’s profitability and lays a solid foundation for the development of financial accounting automation.