bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction and Evaluation of Digital Resource Management Platform for Physical Education in Colleges and Universities
Authors: Zhang Riming 
Published: November 2024

Abstract
With the popularization of the Internet, colleges and universities have successively increased their efforts in the construction of network teaching resources, but the traditional network course platform lacks the innovation of interactivity and has the problem of a low utilization rate of teaching resources. The article builds a digital platform for managing sports teaching resources based on the specificity of the sports discipline and divides it into three functional modules: resource library management, teaching management, and user management. Meanwhile, it proposes the operation process of the dynamic resource integration model, explains the principle of the appropriateness of strategy, and proposes that the best way for the organization to enhance its position is along the direction of the organizational gradient. It focuses on the digital resource allocation method with the goal of maximizing the overall value and taking into account fairness under the conditions of a dynamic environment and limited teaching resources and adopts the Gini index, which reflects the effect of digital resource utilization in physical education in colleges and universities. Through the construction and practice of badminton digital teaching video resources, the mean values of the three dimensions of students’ learning strategies, learning behaviors and learning effects were 3.604, 3.49 and 0.725, respectively. Skill level dimensions, which were significantly higher than that of the control group ( P ≤ 0.001), verified the effectiveness of the digital resource management platform, which in turn provided a basis for the dynamic integration of digital learning resources.
An Innovative Approach to a Physical Education Skills Teaching System Incorporating Online Video
Authors: Zhang Yangsheng , Wei Peijun , Ranges Michelle 
Published: November 2024

Abstract
This paper clarifies the importance of teaching methods for physical education, and points out the teaching advantages of online sports video. The teaching of physical education skills involves three aspects: teaching objectives, teaching tasks, and teaching ideas. The online video module is embedded in the sports teaching module, and video summary technology is used to summarize important and difficult points in teaching sports skills. In view of the characteristics of sports skill teaching, a video summary method based on real-time video streaming is proposed to sync static and dynamic video to meet the requirements of skill teaching. Introducing the video summarization evaluation criterion, we construct two indicators, OR and CD, to compare and evaluate the reasonableness of the proposed video summarization technique in this paper. The effectiveness of online video teaching of statistical sports is evaluated from the viewpoints of students and teachers. The online video teaching of sports was acknowledged by most of the students and they highly rated their performance during the online video teaching of sports. Sports online video teaching is believed by teachers to promote classroom interaction, but there is still room for improvement in answering questions in class.
Functional Analysis of Public Physical Education Course Informatization Construction in Colleges and Universities on Promoting Students’ Health
Authors: Zhao Chunai , Wu Gang 
Published: November 2024

Abstract
Information plays a crucial role in the reform of public physical education courses in colleges and universities. In this paper, we construct a sports health monitoring system for teaching physical education in colleges and universities. Firstly, we derive the heart rate and transmittance oxygen saturation monitoring algorithm using Lambert’s law and the photoelectric volume method, and then design the anti-interference heart rate and oxygen extraction algorithm using a time-varying autoregressive model. To use the time-varying autoregressive model based on multiwavelet basis function expansion, you have to pick the multiwavelet basis functions and guess what the model parameters are. Then, the action recognition module is designed, the static calibration method is used to correct the zero bias of the collected data, the sliding mean filtering method is used to eliminate the random noise, and the data segmentation is performed on the long sequence data. After the system is constructed, its accuracy is checked in four states, and finally, its effect on students’ exercise health is analyzed. It was found that under the four conditions of sitting, standing, walking, and jogging, and comparing with the results of medical pulse oximetry, the maximum error of the heart rate and blood oxygen results monitored by the system in this paper is no more than 3, which is within the acceptable range. The coefficients between the use of the exercise health monitoring system and the enthusiasm for exercise, commitment to exercise, and adherence to exercise health were 0.571, 0.584, and 0.625, respectively, with a significant correlation (p<0.01) and a moderate correlation between the variables. Exercise enthusiasm and commitment can both serve as simple mediators in the relationship between the use of the exercise health monitoring system and exercise health adherence, and they can also act as a chain mediator in the relationship between the use of the system and physical activity adherence.
Construction of Strategic Management Accounting Decision Model Supported by Deep Learning Technology
Authors: Zhou Tingting 
Published: November 2024

Abstract
Deep learning technology is widely used in modern enterprise management. The research employs deep learning technology in the field of accounting decision-making, exploring the development of an accounting decision-making model based on deep learning. This involves enhancing the underground learning efficiency of the CNN-Transformer model for multivariate time series classification, and subsequently proposing a D-Transformer accounting decision model for multivariate time series classification. Based on this model, we integrate cloud computing and other technologies to jointly construct an accounting decision support system. We verify the decision-making performance of the accounting decision-making model, choose the automobile manufacturing enterprise S Company as our research object, and analyze its financial situation. The accounting decision-making model is used to generate the corresponding decision-making recommendations after inputting the analysis results. The AUC value of the ROC curve of the D-Transformer decision-making model is 0.96, which is the largest value among all decision-making models, indicating that it has the best decision-making performance. The S Company generally maintains its total assets at approximately 12 billion yuan from 2019 to 2023. The total liabilities increased from 7.874 billion yuan in 2019 to 9.530 billion yuan in 2023. While the amount of liabilities is significant, the level of solvency is insufficient. In 5 years, the proportion of total restricted assets to total assets will be around 20%. The ratio of total long- and short-term borrowings to liabilities is approximately 35%. The largest variance ratio between actual and budgeted costs for the five operation centers is the R&D and design operation center (19.20%), and the smallest is the production operation center (1.04%), respectively.
Research on Strategies for Improving University English Translation Ability for the Digital Era
Authors: Zhou Xiaofei 
Published: November 2024

Abstract
With the increase of international exchange and cooperation and the acceleration of globalization, English translation ability has become one of the key directions for the cultivation of professional talents in colleges and universities. This paper takes the intelligent proofreading and automatic scoring technology of English translation error text as the fulcrum of the strategy for improving English translation ability in universities. A camera distortion model is established using machine vision technology to eliminate the impact of image distortion caused by translated text and perform image correction. Use median filtering and adaptive Gaussian filtering to eliminate noise in English translation text, and utilize text feature extraction methods to automatically detect translation errors. A translation scoring system is designed and a ternary function model is used to process the translation data and complete the scoring feedback for the translated text. The students of Xinjiang Agricultural University in China were selected as the research subjects to carry out English translation teaching practice. The students in the experimental class outperformed the control class from the second test, and their average scores on the second, third and fourth tests were 2.29, 4.74 and 6.34 higher than those of the control class, and the mean values of 12 learning effect dimensions such as mastery of course content, learning efficiency, and problem-solving ability were higher than those of the control class, while the mean values of the indicators of satisfaction with the teaching of English translation were greater than four.
Research on the Optimization Strategy of the Content of Civic and Political Education and the Enhancement of the Effectiveness of Practical Educational Training for the Digital Teaching Environment
Authors: Xu Yue 
Published: November 2024

Abstract
This paper focuses on the optimization of the content of ideological and political education from the perspective of optimization and establishes an evaluation model based on Lib-SVM for the effect of optimization. The study proposes optimization strategies for ideological and political education in colleges and universities based on VR technology at three levels. The fundamental task of establishing moral education must be adhered to, while clarifying specific tools for optimizing the content of ideological and political education with VR technology. The value leadership of mainstream consciousness is adhered to, and the framework for optimizing the content of ideological and political education through VR technology is improved. Then, on the basis of the implementation of the optimization strategy, an assessment model based on Lib-SVM was established to analyze the ten statistical data of students’ interpersonal communication ability, organizational ability, adaptability, hands-on ability, teamwork ability, innovation ability, expression ability, enhancement of the sense of responsibility, cognitive ability of the society, and experiencing the hardship of life as the source of input data, and to analyze the correlation between these ten data and the level of enhancement of the effectiveness of practical educating people. Analyzing the correlation between these ten data and the improvement level of practice education effectiveness, the length of students’ social practice has increased, and the average length of time spent on volunteering has reached 236h, and there are different degrees of improvement in the ten competencies. The evaluation of Lib-SVM of the strategy of optimizing the content of Civic and Political Education on the effectiveness of practical education was completed, which proved that the strategy carried out a superior enhancement of the effectiveness of practical education.
An empirical study of AI-assisted teaching method in music education based on multiple intelligences theory
Authors: Chen Pengyan 
Published: November 2024

Abstract
In the process of researching innovative methods of music teaching, this paper takes the theory of multiple intelligences as the theoretical support of AI-assisted teaching methods to assist music teaching design ideas. The multiple intelligence theory is used to propose an auxiliary Q&A system for music education. After conducting basic theoretical research on the seven dimensions of the multiple intelligence theory, the preliminary design of the auxiliary Q&A method for music education is carried out, and finally, an auxiliary Q&A system for music teaching is proposed, which mainly consists of four major modules, namely, question-answering, question-retrieval, question-browsing, and backstage management. Through empirical testing, this paper concludes that in the post-test comparison experiment of the intelligence of students in the experimental class and the control class, the experimental class students’ bodily-kinesthetic intelligence and musical intelligence, etc., have been significantly improved (P<0.01).
The Integration Path of the Long-term Mechanism of Industry-Teaching-Integrated School-Enterprise Cooperation and Digital Transformation of Private Colleges and Universities in the Post-Transfer Period
Authors: Huang Xiaoyan 
Published: November 2024

Abstract
With the rapid development of higher education in China, private colleges and universities play an important role in the field of education. In order to accelerate the development of private colleges and universities and realize high-quality talent cultivation, it is imperative to build an effective long-term mechanism of industry-teaching integration, collaborative education potential and the integration of digital transformation. In this paper, after establishing the rocket model of the long-term mechanism of industry-teaching integration and school-enterprise cooperation in private colleges and universities in the post-transfer period and the integration of digital transformation, we use a combination of in-depth interviews and questionnaires to collect data on the level of integration and the factors affecting it. The factor analysis model, Pearson’s correlation coefficient, and structural equation modeling are used to process the collected data to promote effective integration. The empirical results show that the current level of integration of the university’s long-term mechanism of university-enterprise cooperation for industry-teaching integration and digital transformation is at an average level, with a mean value of about 0.35, which still has a large room for progress, and government-led, industry guidance, enterprise participation and school promotion all significantly affect the level of integration (P<0.05). Effective mechanism construction can achieve a close combination of integration with digital transformation, improving the teaching quality and student’s employment competitiveness in private universities.
Exploring the Communication Path of Modern and Contemporary Literary Works Based on Corpus Analysis in the Perspective of Digital Humanities
Authors: Zhang Airong 
Published: November 2024

Abstract
This paper adopts corpus, named entity extraction and word frequency statistics and other corpus analysis methods, combining quantitative analysis with qualitative analysis, to organize the international award-winning works and comments of past, present and contemporary literature to form a corpus. Then, using relevant analysis software, the information about word frequency, subject words, and collocations is counted to obtain the characteristics of literary phrases and their dissemination paths. Through the sorting of literary communication paths and the realistic investigation of the current netizens’ acceptance of literature, the shift of the current literary communication paths has been verified. The results show that among the top 30 high-frequency keywords, “international”, “Internet”, “mobile text”, “digitalization”, etc. appear. With word frequency values of 0.059, 0.048, 0.035, and 0.020, respectively. In different age situations, the choice of the path of literary acceptance has a big difference. 72.4% of the 30-to-40-year-old group chose the cell phone text path. While the difference in economic conditions is not obvious, the percentage of cell phone paths for different education levels is more than 65%.
Discussion on the Importance of Ideal Conviction Education from the Perspective of Marxist Philosophy
Authors: Ma Tingting 
Published: November 2024

Abstract
Ideals and beliefs are the spiritual pillars of a country, nation and political party. Firm ideals and beliefs are a fundamental issue concerning the spiritual strength and future destiny of Marxist political parties and socialist countries. In this paper, we refer to the relevant studies on the development of ideal belief education from the perspective of Marxist philosophy and design a questionnaire on the degree of ideal belief education and the quality level of students. After counting the data collected from the questionnaire, Pearson’s correlation analysis and multiple regression analysis are used to investigate the influence of the degree of ideal belief education on the quality level of students from the perspective of Marxist philosophy. The results show that the scores of the degree of development of scientific and cultural quality education, meaning of life education and faith education in ideal belief education in the investigated colleges and universities are all slightly higher than the average level. There is a significant positive correlation (r=0.304-0.867) between the development of ideal belief education and the various qualities of students as well as between the dimensions, and it is found that the degree of development of ideal belief education explains 55.7% and 56.8% of the variance of the students’ ability quality and physical and mental quality, which proves the importance of the development of ideal belief education. Colleges and universities should continuously summarize their experience, improve their weaknesses, and adjust their strategies in the future to implement the ideal educational approach for college students.
Research on the Diffusion and Evolution of Ethnic Traditional Sports Culture Based on Spatial Diffusion Modeling
Authors: Chen En 
Published: November 2024

Abstract
In the long history of five thousand years, various ethnic groups in China have created wonderful traditional sports programs, such as archery, horseback riding, martial arts, dragon boat racing, etc., which have formed a national sports culture with profound humanistic values and aesthetic connotations. The study first constructs a spatial diffusion model based on the GIS field model and object model and extracts the cultural spatial diffusion pattern. Then, taking Yang-style Taijiquan, a national traditional sports culture, as the research object, a spatiotemporal database of events is constructed to visualize the spread of this culture. Finally, we explored the differences in the evolution of Yang-style Taijiquan in cities of different sizes and aging levels through ANOVA. Yang-style Taijiquan has significantly more gyms in large cities than in small cities (P<0.05), which is more advantageous for development. With the aging level deepening, the demand for Yang-style Taijiquan among older people showed an inverted “U” pattern, indicating that Yang-style Taijiquan has some limitations in coping with the higher aging level.
Exploring the Role of Artificial Intelligence in Multimodal Cultural Communication and Identification
Authors: He Yu 
Published: November 2024

Abstract
Artificial intelligence technology has unique advantages in processing multimodal information such as images, videos and sounds, and plays an important role in the process of enhancing the effect of multimodal cultural communication. The Page Rank model is used to identify communication subjects based on the role of key communication subjects in cultural communication, as proposed in this paper. A genetic algorithm is utilized to improve the traditional neural network algorithm, so that it provides more accurate prediction results and countermeasures in the process of promoting cultural communication. The analysis shows that the OLMT algorithm has an average accuracy of 94.56% in a specific identification interval. The difference between the expected and actual output values of the improved neural network algorithm for the test samples was less than 0.7.
Research on the Innovation of Cross-border E-commerce Enterprise Management Mode Based on Big Data Analysis
Authors: Ma Ruixue 
Published: November 2024

Abstract
With the rapid development of information science and technology, enterprise management gradually began to rely on information science and technology, the change of management mode to promote the development of the enterprise economy. This paper focuses on innovation in cross-border e-commerce enterprise management mode to conduct the main research. The article first puts forward the cross-border e-commerce management innovation mode based on big data analysis and then uses the data mining method to analyze the funds and economic data of each subsidiary of the e-commerce enterprise and discovers that all kinds of dimensional data correlation, based on the clustering results, found that the relationship between enterprise orders and enterprise earnings is not positively correlated, and the relationship between earnings The relationship between total amount and social accumulation rate is positively correlated, and so on. Subsequently, we consider cross-border e-commerce enterprises as the research object. Based on the K-Means algorithm and Apriori algorithm, we use a Python tool to carry out association rule mining and clustering analysis on the company’s sales data and then visualize the results of the analysis: among the 30 agents of enterprise A, there are 2 very important agents, accounting for 4.22%. The number of important agents is 15, which accounts for 48.33%, and the number of general agents is 11, which accounts for 39.88%. Using the management model proposed in this paper can help agents with poor sales improve customer adhesion, and can provide effective decision-making assistance for managers.
Enhancing collaborative learning in psychoeducation through social network analysis
Authors: Song Ruguo , Li Wenjing , Li Tingting , Liu Xiaoling 
Published: November 2024

Abstract
Social network opens up a practical new path for psychoeducation and, with the help of a multimedia mobile terminal’s network, text sentiment analysis for students’ mental health problem revelation and constructing corresponding psychoeducation model. Based on the above viewpoint, this paper proposes a semi-supervised learning method for sentiment analysis using graphs. Specifically, a graph-based semi-supervised learning classifier is constructed using the “Weibo-Weibo” relationship graph. At the same time, social network and text similarity relationships are combined. A link between annotated and unannotated texts was established, and an optimization algorithm was used to solve the model, revealing the psychological problems of students under the emotional texts of social networks, thus constructing a corresponding “four-in-one” mental health education model, which enhances the collaborative learning of students and the four major organizations in psychoeducation. The accuracy, accuracy, recall, and F1 value are outperformed by the model in this paper by 2.44%, 2.11%, 1.45%, and 2.34%, respectively. The eight questions designed around the three dimensions of collaborative learning situation, learning effectiveness, and four-in-one teaching model were highly rated by students. The four-in-one teaching model that utilizes social network sentiment analysis effectively enhances students’ collaborative learning and improves their ability to solve psychoeducation’s difficulties.