bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Innovative Path of English Education Based on Five Education in the High-Tech Background
Authors: Tang Rihong 
Published: August 2024

Abstract
The fundamental task of education is to establish morality and cultivate excellent talents with the all-around development of morality, intelligence, physicality, aesthetics, and labor is the educational orientation of the new era. Under the background of high technology, this paper carries out a survey on English teaching based on the five education and lifting in a college, analyzes the development of morality, intelligence, physicality, aesthetics, and labor in its English teaching, and on this basis, carries out the teaching design of five dimensions and puts forward the innovative path of English education based on the five education and lifting. After the implementation of the innovative path of English education for students in a certain university, the evaluation index system of English teaching effect was constructed by combining the five dimensions of education, and the principal component analysis method was applied to evaluate the effect of English teaching based on the five dimensions of education. At present, there is a problem of uneven development of the five education systems in English teaching, focusing on the development of intellectual education (4.39) and moral education (3.82) and paying insufficient attention to physical education and labor education. After the teaching practice, the comprehensive evaluation of the teaching effect is 7.833 points, and the scores of the five dimensions are all above 7.5 points. Students’ moral, intellectual, physical, social, aesthetic, and labor have gained all-around development, and the implementation of the innovative path of English education based on the five education has achieved a better teaching effect.
Research on the innovation of “four-work synergy” service education system for social work majors in higher vocational colleges and universities under the background of Internet+
Authors: Wang Yulong , Du Xiaolei 
Published: August 2024

Abstract
This paper puts forward an innovative approach to the service education system of higher vocational colleges and universities and constructs a “four-work synergy” service education system from four aspects: integration, construction, revitalization, and innovation. Using the war strategy optimization algorithm, the “four-work synergy” service education system is optimized and adjusted. An artificial neural network-based quality assessment model for the “four-industry synergy” education service was established, and the model was applied in practice to measure the quality of the education service of the research subjects. The students were satisfied with their impression of the school, the value of the school services, and the importance of their work, all of which were above three points. The six dimensions of the quality of educational services of the research object P high school statistics, including the highest mean score of 3.6496 for assurance, except for tangible and empathy, the other three dimensions of the mean value is similar, the distribution range is between 3.3-3.5. A pre-and post-test experiment was designed to examine the effect of the “four-work synergy” educational service on the improvement of students’ professional skills. During the pre-and post-tests, it was revealed that the average score for students’ professional skills increased by 6.0587 points, while the overall passing rate increased by 17.83%. Through the independent sample t-test, it is further found that t=-4.679, sig=0.000, there is a significant difference between the pre-and post-test data, which shows that the “four-worker cooperative” service education proposed in this paper has a positive effect.
The Era Value and Mode Innovation of Civic Education in Colleges and Universities under the Background of Big Data Technology
Authors: Chen Mingwu 
Published: August 2024

Abstract
The study of Civic Education in Colleges and Universities in the Age of Intelligence is a rational reflection on the integration of intelligent technology and education in a contemporary society characterized by informationization, digitization, and intelligence. This paper improves the traditional YOLOv5 algorithm and integrates the CA attention mechanism into the YOLOv5 algorithm to construct Civic and Political Intelligent Education based on classroom state recognition. Subsequently, a systematic test of the A-YOLOv5 system for the smart classroom was carried out, comparing the traditional YOLOv5 algorithm, the unimproved Mobilenet- YOLOv5 algorithm, and the A-YOLOv5 algorithm, which was analyzed and concluded to be superior to the other two algorithms in terms of the speed of detection and the accuracy of recognition. At the same time, the classroom effect of A-YOLOv5 was tested, and it was concluded that the A-YOLOv5 model could accurately reflect the status of classroom students. In this paper, the A-YOLOv5 algorithm improves the recognition rate of the state of listening, playing cell phone, raising hand, writing, and sleeping in the classroom of Civics and Political Science teaching compared with the YOLOv5 algorithm and evaluates the recognition accuracy of 85.42%. The model of Civics education under big data can improve the system’s recognition of students’ classroom behavior and concentration, which facilitates the teaching mode of Civics education and makes it easy for teachers to change their teaching methods in response to students’ behavior.
A Study on Source Analysis and Correction of Chinese-English Poetry Translation Errors Based on Data Mining
Authors: Gao Yuan , Xu Guangxian , Lin Qifa 
Published: August 2024

Abstract
When the traditional poetry translation model can not be applied to the translation requirements of poetry context, it is necessary to improve the backward translation model. To address the issues in the traditional translation model, this paper utilizes the error in the translation model of the improved clustering algorithm for correction. The poetry translation model’s overall framework is explained in detail, and each module code is analyzed. After optimizing the data in the model, the reasons for the model translation error are analyzed and corrected to achieve a perfect fit between the Chinese and English translations of the poems. The results of the study show that the errors in poetry translation are mainly caused by words and sentences, as analyzed in this paper. This paper also corrects the clustering algorithm for related errors and proposes a model for correcting translation errors in the Logistics Chaos Model. Finally, it is concluded that words and sentences are the key factors that affect the English translation of poetry. Compared with SDPS, LDifC, WFBC, LDivC, and FC, its correctness rate reaches more than 96%, 93%, 92%, 92%, and 95% after correction, respectively. Compared with the pre-correction, their accuracy increased by 0-3.06%, 3.06%-21.05%, 2.11%-10.2%, 4.35%-9.68%, and 0-8.25%, respectively. It can be seen that the translation model with an improved clustering algorithm proposed in this paper is of great significance for the improvement of the accuracy of the DWMA translation text model for an English translation of poetry.
Blockchain technology development promotes school-enterprise cooperation and industry-teaching integration talent cultivation mode innovation
Authors: Liu Feng , Liu Xiwang 
Published: August 2024

Abstract
In order to fit the new trend of talent cultivation and social demand, this paper proposes a new talent cultivation mode of industry-education integration and utilizes the outstanding advantages of blockchain technology in data preservation and tamper prevention to help preserve and transmit talent cultivation data between schools and enterprises more securely, and promote the realization of the new talent cultivation mode. In this paper, we propose an ECDH-based talent cultivation data sharing method between schools and enterprises, which stores users’ talent cultivation data by constructing a talent cultivation data information format and constructing talent cultivation diagnostic record transaction to lay the foundation for talent cultivation data uplinking. On this basis, the talent cultivation data information is encrypted to protect the privacy of talent cultivation data and ensure the safe sharing of personal talent cultivation data. According to experiments, the new algorithm’s average transmission rate is 6.69Mb/ms, and the last 100 rounds of power grabbing have a success rate of 0.54%. It shows that the algorithm proposed in this paper has the characteristics of being fast and safe, which helps to innovate the existing talent cultivation mode of school-enterprise cooperation. The average score of graduates’ competence has improved by 0.88 points, and more than 85% of employees agree that the new model has a positive effect.
Dynamic updating mechanism of teaching content driven by both artificial intelligence and big data within an efficient classroom
Authors: Liu Wenping 
Published: August 2024

Abstract
The new curriculum reform requires teachers to focus not only on the transmission of knowledge in efficient classroom teaching but also on the promotion of students’ comprehensive development, ensuring the diversification of teaching and the dynamic updating of teaching content. Based on the integration of “artificial intelligence + big data” technology in teaching and learning, this paper proposes a dynamic adjustment model of teaching content based on the conceptual graph. The Bayesian network structure learning method is employed as a test method to determine the independence of variables and create directed graphs. Meanwhile, the K2 and LPG algorithms are being improved to establish the C-IK2 model for automatic concept map generation. Sequentially, the data is processed in stages of preprocessing, generating complete graphs, and constructing minimum spanning trees to construct a model for dynamic updating and adjustment of teaching content. Through experimental analysis, the model is applied to the actual teaching work. The experimental results show that after the dynamic updating and adjustment of teaching content, Student 1 reached the highest score rate of 68.16% in the first semester of the first year. The degree of improvement of the score rate score in the two semesters of the second year was 13.21% and 17.1%, respectively. The model of the dynamic updating and adjustment of teaching content is more helpful to the students. The academic performance of the students in class A of the research object was significantly improved. The overall average score reached 82.93 points, compared with the pre-test improved by 5.85 points. At the same time, the number of the 60-70 score band was reduced to 3. The proposed model in this paper effectively improved the academic level of the students.
Synergistic Parenting Strategies and Practical Effects of Group Decision Making Theory in Civic Management Education in Colleges and Universities
Authors: Qiu Zhenzhong 
Published: August 2024

Abstract
This paper analyzes the evolution process of dynamic group decision-making viewpoints and proposes the operation process of group wisdom decision-making mode based on the social learning rules in group decision-making and the evolution process of decision-making individual preferences. With its advantages, it proposes a collaborative parenting strategy for civic management based on group decision-making theory. Divide the internal management subjects of colleges and universities and propose the collaborative cultivation of ideology and politics by multiple subjects. Clarify the relationship between student cadres, class teachers, and course instructors, and develop a college-centered model of collaborative parenting in the field of ideology and politics. We analyze the influence of group decision-making theories on the collaborative knowledge construction of college students’ civic administration and compare the practical effects of the traditional civic administration collaborative nurturing model and the collaborative nurturing model based on group decision-making theories in the context of teaching communication. It can be concluded from both interaction content and social relationships that group decision-like theory can strengthen students’ willingness to interact and promote intragroup social relationships. The number of intergroup interaction social network connections for the Devil’s Advocate strategy is 89, the average degree is 4.56, and the interchange is 0.58. The practice of teaching civics shows that the collaborative parenting strategy based on the group decision-making theory has obvious teaching advantages in terms of Civic Awareness and Learning Awareness.
Facilitating the Teaching of Preschool Education Majors Based on Mobile Internet Platforms
Authors: Wu Xiaomeng 
Published: August 2024

Abstract
With the increasing promotion of the concept of “Internet +”, the preschool education professional field has continuously proposed a non-commercial online education platform to play its role in promoting the teaching of preschool education. The article adopts the curriculum resource recommendation algorithm based on collaborative filtering, applies the recommendation algorithm to the mobile Internet platform, designs a personalized online education platform based on the collaborative filtering algorithm, and applies it to a specific empirical study. After experimenting using the method proposed in this paper, the average score of major grades in preschool education for the experimental group increased by 3.68 points. In the systematic analysis of learning satisfaction, 75% of the students were satisfied with the sequence of learning activities and learning partner recommendations, and 67.5% were satisfied with this learning process.
Research on the Relevance of Accounting Information Transparency and Enterprise Value in the Internet Financial Environment
Authors: Shen Wangqi 
Published: August 2024

Abstract
China’s securities market has made remarkable achievements after more than 20 years of development. The issue of accounting information transparency has become more prominent. Based on the impact of Internet financial technology on accounting practice, this paper explores the correlation between managerial characteristics and accounting information transparency on enterprise value through research hypotheses. The metric model of enterprise investment value and accounting information transparency is constructed, and the hypotheses proposed in this paper are verified by means of multiple regression analysis. The results of multiple regression analysis indicated that the regression coefficient of the effect of manager’s age on enterprise value was 0.1687, and the P value was <0.01, which indicated that older managers had a positive effect on enterprise value, and hypothesis 1 was confirmed. In the sensitivity analysis, the surplus management variable and the cross-term between surplus management and transparency of accounting information have a strong correlation. The parameter estimates are 0.089 and 5.365, respectively. Both of them show a significant positive correlation at a 1% level. The results pass the sensitivity test, which indicates that the regression results are robust and that there is a positive correlation between the transparency of accounting information and the value of the enterprise.
Exploration and Practice of Civic Teaching in Cybersecurity Technology Specialized Courses under the Background of Big Data
Authors: Yu Kun 
Published: August 2024

Abstract
In recent years, curriculum Civics has begun to be widely used in higher education programs, providing new ideas and inspiration for the development and reform of higher education. The study integrates Civic Politics elements into the professional course of network security technology to teach Civic Politics in the curriculum. The improved TOPSIS method is used to construct a teaching evaluation model for the Civic Politics of Network Security Technology course, build an evaluation index system for the Civic Politics teaching effect of the Network Security Technology course, and determine the weights of the indexes at all levels. Factor analysis, difference analysis, and correlation analysis are carried out to analyze the situation of the network security technology course Civics. And explore the teaching effects of the network security technology course Civics. The highest score among the 15 factors of cyber course civics is cyber cultivation (8.89), while the lowest score is tenacity (7.77). There are significant differences in the factors of cultural confidence, dialectical thinking, aesthetic awareness, security awareness, and fairness and justice among students of different grades, and the factors of aesthetic awareness and fairness and justice among students of different disciplines become significantly different. There is a significant positive correlation between all the factors, among which the dialectical thinking factor has the strongest correlation with the total score of cybersecurity technology course civics. The total score of the teaching effect of the Civics of Cybersecurity Technology Course is 0.85, which is good.
Combining Cloud Computing Technology to Enhance Information Technology Application in High Quality Employment for College Students
Authors: Zhou Jing 
Published: August 2024

Abstract
In order to improve the information technology application ability of college graduates, this paper breaks through the traditional classroom’s limitation of time and space, and puts forward a teaching form that better meets the educational needs. The teaching method for information technology courses for college graduates based on cloud computing technology is designed. Firstly, a multimedia teaching platform system that meets the needs of colleges and universities has been designed. The current campus network of many colleges and universities is not conducive to full utilization of resources. Therefore, a dynamic scheduling model based on prediction is proposed for teaching on-demand resources. The method utilizes the virtualization technology in cloud computing to divide the computing power in the multimedia teaching cluster into multiple virtual central processors and constructs a resource request prediction model to predict the teaching demand in the future period. The dynamic adjustment capability of virtual hardware resources is fully utilized, and the load balance is achieved by reasonably allocating resources according to the actual teaching demand. The method of this paper is used in practice; 30 students taught using the method of this paper found a job within 30 days, and the number of people with a monthly salary of more than 10k reached 27, which is better than the effect of other methods. The test results show that the information technology teaching course combined with cloud computing can better improve the information technology application ability of college graduates and has the practical application value of higher quality employment.
Analytical study on optimized configuration strategy of electrochemical energy storage system under multiple scenarios
Authors: Li Tou , Zhang Wei , Zhang Xuan 
Published: August 2024

Abstract
This paper models the electrochemical energy storage system and proposes a control method for three aspects, such as battery life, to generate a multiobjective function for optimizing the capacity allocation of electrochemical energy storage under multiple scenarios, with conditional constraints on the system, storage, and progression aspects. The improved whale optimization algorithm is used to solve the multi-objective function to find the most reasonable electrochemical energy storage system capacity optimization allocation scheme. Using the model constructed in this paper under multi-scenario conditions, it is found after solving that the optimal allocation scheme purchases power from the grid at around 25MW during the highest peak hours in summer and 5MW in winter, which ensures the economic benefits. Meanwhile, the maximum power fluctuation of the electrochemical energy storage system at point A of the optimization strategy provided by the model is only 2.16%, which is much lower than the preset 4.32%, so the optimal allocation strategy reaches the optimum. Comparing the performance of configured energy storage in different scenarios, the peak-valley power difference of the model proposed in this paper decreases from 11.6 MW to 8.9 MW, which is a better performance than that of the control group, which is 10.8 MW-9.1 MW, and the effect of peak shaving and valley filling is obvious.
Analysis of Traditional Culture Communication Methods and Communication Effects for Adaptive Web Platforms
Authors: Ju Jingyi 
Published: August 2024

Abstract
With the rapid development of networks and information technology, the form of mass communication is changing day by day, and the efficient and convenient communication of information also brings challenges to the dissemination of traditional culture. This paper proposes a deep recommendation algorithm based on user-adaptive networks after examining the functional advantages of adaptive network platforms and optimizing the drawbacks of current network platform recommendations. It contains two parts: the main network and the strategy network, which combine the null convolutional neural network and the residual network, which is capable of better modeling the user’s historical behavior sequence. On this basis, the algorithm is combined with the development of the traditional culture dissemination-oriented network platform system, constructed by the user layer, testing layer, learning layer, support layer, and management layer composed of a traditional culture adaptive network platform. Then, the performance of the system is tested. The adaptive network platform system of this paper has the lowest number of nodes with latency distribution of [1, 3.1] ms and [4, 10] ms. The lowest load reaches 0.05, and the proportion of users with a continuity index less than 0.9 is only about 36%. Meanwhile, the average playback volume of the platform video is 6,275,800, and the average number of likes reaches 207,906, which is much higher than the average value of 8800 of the number of points stepped on, indicating that the system in this paper is optimal in all aspects of the performance and that the dissemination of traditional culture is excellent. This study presents an effective communication method for traditional culture that is widely applicable and makes a significant contribution to the promotion of traditional culture.
Cost-benefit analysis and ROI prediction for smart renovation of sports stadiums
Authors: Li Jian , Zuo Jia 
Published: August 2024

Abstract
The construction of smart stadiums is an important direction for the development of the sports industry. This paper builds a digital empowerment analysis framework for stadiums from the main body of stadium intelligent construction and designs and builds a smart stadium management information system platform. Examine the advantages of VR technology in sports training, process motion capture data, and propose motion recognition technology based on skeletal data. Use the satisfaction index to measure the effectiveness of intelligent transformation applications in sports stadiums that utilize VR technology. We analyze the whole life cycle cost of sports building projects, calculate the revenue and operation cost of intelligent construction of stadiums from the perspective of the composition of sports building projects, and predict the return on investment of intelligent construction of stadiums by combining the investment ratio of different partners. In the dimension of “intelligent service”, the satisfaction score of the training service (VR technology sports training service) is 3.689 with a standard deviation of 0.825, and the return on investment is 17.59% during the 14-year construction and operation period of the project when the share ratio of the partner is 60%.