bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Corporate Social Work Intervention through Integrated Media in the Age of Big Data
Authors: Han Xiaofei , Ren Xinyue 
Published: January 2024

Abstract
In this paper, the structural equation model is constructed, the explicit and implicit structural relationships of the structural equation model are investigated, and the differences between the two structural relationships are compared. Then, the covariance array of the variables is obtained through the samples, and then the parameters of the established structural equation model are estimated from the sample data, and the fit of the model to the data is judged from the structural equation model as a whole. Then, the media perception and attitude situation of corporate employees towards media were analyzed, and the impact of melting media on corporate social work was analyzed based on the structural equation model. The path coefficients of the influence of melting media on the survivability, growth and regeneration of social work are 0.09, 0.186 and 0.081, respectively, with p<0.005, which indicates that melting media has a positive influence on the effect of corporate social work. The research in this paper provides a tool that can be utilized for the development and improvement of corporate social work and provides ideas that can be used for the integration and development of corporate social work and integrated media.
Research on neural network-based fault diagnosis and prediction method for power communication equipment
Authors: Yang Guang , Gu Hong 
Published: January 2024

Abstract
In this paper, facing the digital development of the power grid and the status quo of massive power communication equipment access and targeting the demand for highly intelligent operation and maintenance management of the power grid, combined with neural network technology, we propose an intelligent diagnosis model of power communication equipment faults. Adopting BERT as the vector embedding layer to obtain the vector sequence of fault text, designing a fault entity recognition model for power communication equipment based on BERT-BiGRU-CRF, and completing the construction of the relationship set of fault text. The proposed knowledge graph-based power communication equipment fault intelligent diagnosis model combined with the WBLA-based power communication equipment fault severity level recognition algorithm to obtain different severity fault information, from which a TFIDF-COS-based power communication equipment fault intelligent diagnosis algorithm is designed to realize intelligent diagnosis of power communication equipment faults. After testing, the TFIDF-COS algorithm can get the best optimization effect when the number of hidden layers of the selected algorithm is 1, and the initial learning rate is 0.05, and its accuracy rate can be kept above 98%. Compared with the traditional fault diagnosis system, in terms of the order of magnitude 100M, 500M, 1G, and 5G, the running time is reduced by 322s, 1874s, 4617s, and 7467s, and the accuracy rate is increased by 2.33%, 2.6%, 32.02%, and 61.4%, respectively. Therefore, this paper realizes the accurate positioning of power communication equipment faults and provides technical support for intelligent operation and maintenance of the power grid.
Research on the Innovation of Physical Education Teaching Theory in Colleges and Universities Based on VAR Modeling
Authors: Li Lihua 
Published: January 2024

Abstract
In order to improve the science and rationality of physical education, reduce various sports injury situations and improve students’ physical fitness. The prediction model method proposed in this paper organizes college and university students to participate in functional movement screening and selective functional movement assessment experiments to grasp the actual situation of students in physical exercise and to propose corresponding countermeasures. The prediction model takes advantage of the correlation nature of the time series, converts the vector autoregressive model into a linear regression model for research, then considers the graph regularization penalty function, combines this method with the bridge penalty, adds the correlation sign information between the variables, and uses the coordinate descent method for estimation, and finally proposes the vector autoregressive correlation prediction model method based on the bridge and the graph regularization. After the intervention-corrected training, the FMS scores of the college students were all improved, and the total score increased from the previous 12.39 to 17.51. Changes in students’ strength qualities before and after the experiment Except for pull-ups, there were significant interactions between students’ standing long jump scores, vertical long jump scores, grip strength, 1-minute push-ups, and 1-minute sit-ups in terms of time and group. This study led to an improvement in students’ physical functioning and reduced the risk of injury during physical activity.
Exploring the cross-border e-commerce of agricultural exports and its logistics supply chain innovation and development strategy under digital technology
Authors: Miao Xiaohong , Ni Chuan 
Published: January 2024

Abstract
This paper constructs a cross-border e-commerce supply chain information synergy platform for agricultural products, which screens and processes data of relevant business information and finally outputs information that helps cross-border e-commerce business of agricultural products. Through in-depth analysis of the structural characteristics of cross-border e-commerce maritime and air transport international logistics network under the mode of overseas warehouse, we first describe this type of problem and the basic assumptions of the model, set the model parameters, take a set of optimal solutions of Pareto, and model the cross-border e-commerce logistics network under the mode of overseas warehouse under the mode of maritime and air transport, respectively. According to different objectives, the multi-objective model of the international logistics network of cross-border e-commerce sea transportation mode and the multi-objective model of the international logistics network of cross-border e-commerce air transportation mode are established, respectively. After the optimization of the logistics supply chain, the turnover days of accounts receivable are 20 days faster than in the past, which is still 5 days less than the specified target value. The inventory stock days have been decreased from 150 days to 110 days. In other aspects, although there is still a small gap between the actual situation and the target value, most of the score values are close to the established value, and there is a significant improvement compared with the original operational value after improvement through the method of this paper cross-border e-commerce enterprises’ procurement cycle time and order fulfillment cycle time are reduced by 10 days compared with the past and reach the target values.
Transformation of digital-based efficacy for the construction of a deep-learning-based sports course on civics and politics
Authors: Du Xinchao , Chen Hongxin , Yang Hui , Yao Zhixin , Zhang Yin , Wang Teng 
Published: January 2024

Abstract
This paper constructs a structural equation model of the implementation mechanism of the Civics and Politics teaching in compulsory physical education courses, taking teaching methods and teaching organization as mediating indicators to test the mediating effect. Combined with the existing results of the construction of the physical education curriculum Civics, it designs and constructs the integrated construction model of physical education curriculum Civics for the whole academic period and optimizes the structure of digital effectiveness of the construction of the physical education curriculum Civics, by designing and conducting comparative experiments to explore the teaching effect of the implementation of the flipped classroom teaching mode in the Civics and Politics of Physical Education in colleges and universities. Analyze the methods and means of teaching Civics and evaluate them for the construction of college sports courses in the context of deep learning. Conduct empirical research on the integration of Civic politics elements in sports courses, analyzing the degree of students’ cognition and mastery of Civic politics elements and the application and change of students’ Civic politics elements. The analysis shows that the confidence interval of teaching content→teaching methods→teaching organization→Civics and politics goal achievement is 0.005-0.048, the effect value is 0.018, and the p-value is 0.008. It proves that the teaching methods and teaching organization play a chain mediating effect in the influence of teaching content on the achievement of Civics and politics goals.
Combined with linear regression analysis of Hainan coconut carving art dissemination path analysis
Authors: Qian Xiang , Ye Caihong , Cao Chunnan 
Published: January 2024

Abstract
Hainan coconut carving is regarded as an excellent traditional cultural treasure of the Chinese nation, which has a long history with a long history, but the current dissemination of the art of Hainan coconut carving is faced with the dilemma of decline. This paper carries out the construction of a multiple linear regression model, using the least squares method to determine the regression parameters and find the maximum likelihood estimation of the regression parameters. Then, the relevant elements of the art communication path, based on the elements of the construction of the art communication of multiple linear regression model and the production of questionnaires used to obtain the art communication path influence factors data. The least squares and maximum likelihood parameter estimation are numerically simulated, and the art communication path is analyzed using multiple linear regression. The results show that the mean square error of the least squares method is below 0.001 when the sample size of maximum likelihood estimation is increased from 100 to 300, the error rate of different parameters is reduced by 70.83%, and the significance of the influencing factors in the multivariate linear regression model is less than 0.05. Based on the linear regression, we can analyze the influencing factors of the dissemination path of the art of Hainan Coconut Sculpture, which provides a reference to the further expansion of the art of Hainan Coconut Sculpture. It can provide a reference for further expanding the dissemination of Hainan coconut carving art.
Intelligent big data visual analytics based on deep learning
Authors: Guo Ruixiang 
Published: January 2024

Abstract
In this paper, we first constructed a deep learning model, optimized the LSTM model to get the BiLSTM model based on the long and short-term memory network, and used the generative adversarial network to calculate the probability distribution of data. Then, the advantages of deep learning in intelligent big data visualization and analysis are explored from the dimensions of data preprocessing, dimension anchor layout, coordinate expansion and data analysis. Finally, the efficiency of the deep learning model is compared with that of other algorithms using indicators such as accuracy and recall, and the feasibility of this paper’s method is verified by empirical analysis using intelligent transportation data as an example. The results show that the model in this paper achieves an accuracy rate of 95.5%, the loss rate is stable at 0.2% to 0.4%, and the average running time is maintained at 20ms, which are all better than other models. The predicted and real values of traffic data for the Deep-STCL model using deep learning basically match, indicating that the deep learning model has obvious advantages in data visualization and analysis.
Development path of rural financial services for rural revitalization based on big data analysis
Authors: Cheng Kangkang 
Published: January 2024

Abstract
This paper is based on big data analysis technology to process the data related to rural construction and analyze the rural financial service development measurement after constructing the rural financial service indicator system combined with the principal component analysis method. The entropy value method is utilized to measure the constructed rural development index system and assess the development level of rural financial services for rural revitalization. On this basis, the benchmark regression model of rural financial services and rural revitalization is constructed, descriptive statistics are carried out, and the development effect of rural financial services on rural revitalization is analyzed after passing the smoothness test to explore its development path. The results show that the development measure of rural financial services from 1978 to 2021 rises from less than 0.5 to more than 0.7, and the development index of rural revitalization also rises by about 0.1, and the levels of both rural financial services and rural revitalization are rising. The mean value of the rural revitalization index is 0.282, the minimum value of the rural revitalization index is 0.143, and the maximum value is 0.494, and all the variables of rural financial services on rural revitalization are significant at the 1% level, with a significant impact. Based on this study, rural financial reform is synergistically promoted in three major aspects, namely, coordinating all kinds of financial organizations, innovating financial support for agricultural products and strengthening financial supervision and prevention.
Measurement of the Integration of Education and Industry in Guangdong, Hong Kong and Macao Greater Bay Area under the Background of Big Data and Analysis of Influencing Factors
Authors: Huang Xiaoyan , Lu Jifu 
Published: January 2024

Abstract
In this paper, the Herfindahl coefficient (HHI), intuitionistic fuzzy hierarchical analysis (IFAHP) and binary semantic evaluation methods are used to quantitatively measure the degree of industry-academia integration in Guangdong, Hong Kong and Macao and to explore the level hierarchy of the degree of industry-academia integration. The factors influencing the behavior of industry-academia cooperation between enterprises and higher vocational colleges were analyzed by selecting the employment of H, A and X institutions in the past five years. The results show that the level of industry-academia integration in the Greater Bay Area is 0.6833, and the obstacles in communication channels between enterprises and higher education institutions are the biggest influencing factors. The industrial structure deviation is 28.9, which indicates that there is a discrepancy between the university specialty settings and market demand in the region. The optimization countermeasures proposed in this paper have a positive significance in promoting the connection between local higher education and industry.
Coordinated Parenting of Civic Work and Student Management in Colleges and Universities Based on the Correlation Matrix in the Context of Informationization
Authors: Wang Ying , Jiang Dongyu 
Published: January 2024

Abstract
In this paper, an association matrix is constructed based on a global self-representation model, and the problem of constructing an association matrix with sparse self-representation of samples and Laplace regularized least squares classifier are integrated to improve the model performance. Based on the block coordinate descent algorithm, iterative solving for each variable was performed to optimize the model, and then the decision-making model was constructed using the multi-objective decision-making algorithm in order to provide managers with appropriate educational and management program services. Finally, the influence of ideology and political education on students’ quality as well as college management is analyzed, and the way of correlation evolution between ideology and politics and student management is explored. The results show that ideology and politics have a positive influence on student quality, and the degree of influence on personal concepts as well as on the pursuit of knowledge and the establishment of goals is 0.75 and 0.8, respectively. The probability that a highly correlated and coordinated college or university with ideology politics and student management will remain in this rank in the following year is 65%, and the probability of downward or upward development is 20% in both cases.
Exploring the Sustainable Development of E-commerce Ecosystems in the Perspective of Green Health
Authors: Wang Likun , Li Xiaolin , Li Peng , Liu Hongya , Sun Yali 
Published: January 2024

Abstract
The development of e-commerce breaks through the restrictions of traditional commerce in time and geography and enables people to carry out e-commerce activities conveniently, quickly and securely anytime and anywhere. This paper takes the Internet as a competition and communication platform, forms an e-commerce ecosystem through collaboration and resource sharing, and provides the evolution path of the e-commerce ecosystem. In the paper, the evolutionary game theory is cited, the game strategy is expressed through Nash equilibrium, and the three-way competitive evolutionary game model of the e-commerce ecosystem population is established with the revenue function as the optimization objective, presenting the evolution process from individual behavior to group behavior to adopt the strategy. To verify the application of the three-way evolutionary game model presented in this paper in the sustainable development of e-commerce ecosystems, an evolutionary game analysis was performed. The results show that: under the same degree of random disturbance, the fluctuation amplitude of the leader population is between 0.01 and 0.02, and the key population is most affected by random disturbance, and its fluctuation range is able to reach 0.05 to 0.95. In 2013, after the invasion of Tmall, its market share rapidly reached 49.35% from 1.49%, and Jingdong dropped to 19.11% after it, and the B2C e-commerce ecosystem changed significantly. Participating parties in the e-commerce ecosystem under the perspective of green health need to choose the right time to cooperate so as to promote the stable and sustainable development of the e-commerce ecosystem.
Research on the Integration Teaching Mode of Traditional Music Elements and College Piano under the Background of Information Technology
Authors: Li Meijia 
Published: January 2024

Abstract
With the deep integration of information technology and music education, how to integrate traditional music to innovate college piano teaching mode has become a problem that must be solved for the development of the times. Based on the scaffolding teaching method, this paper integrates traditional music elements with college piano in-depth and realizes the innovation of college piano integration teaching mode by adopting online pre-study before class, offline teaching during class and timely reflection and evaluation after class. In the teaching process, traditional music signals are represented by time-frequency domain features so as to realize the digital pre-processing of traditional music signals, and traditional music fundamental tone contours are transformed by using the fundamental tone feature extraction method. Then, based on the principles of physics, we explored the string vibration equation of the piano-generating principle and constructed a mathematical model for the piano music signal. To verify the effectiveness of this paper’s method in piano teaching in colleges and universities, relevant algorithms and teaching practices are used. The results show that the GNSDR of this paper’s method on vocals is improved by 6.58% compared with Unet, and its SDR is 4.25dB and 5.21dB when separating the two music source signals of Piano and Vocals, which is improved by 0.36dB and 0.14dB compared with SHN-4, respectively. The college piano scaffolding teaching model that integrates traditional music elements has enhanced sight-reading ability by 116.44%. Under the background of information technology, it is necessary to fully combine the relevant technology to extract the characteristics of traditional music elements so as to help teachers better carry out the design of piano music teaching programs and improve the quality of colleges and universities to cultivate piano talents who inherit traditional music.
Research on the Integration of Digital Media and Oil Painting Teaching in Colleges and Universities in the Era of Artificial Intelligence
Authors: Zhao Lingyu 
Published: January 2024

Abstract
Under the impetus of new concepts and new thinking, digital media art is also born. This paper discusses the integration of digital media in oil painting teaching in colleges and universities and constructs a resource library of painting images created by college and university students. The original RGB image is converted to HSV mode, and the college oil painting images are classified into styles based on color entropy. Drawing on the category balanced intersectionality loss function commonly used in edge extraction networks and designing an objective evaluation index based on the Adain network model for comparing the stylistic categorization ability of oil painting image translation networks. Finally, a generalization experiment was conducted on oil painting teaching painting images in colleges and universities through the Gallerix dataset. The results show that in the 2566-dimensional vector data distribution extracted from the oil painting resource base of art majors in H colleges and universities, for example, with dc
= 0.05 and dc
= 0.1, both sets of parameters find the correct clustering centers, which greatly enhances the efficiency of oil painting creation by college and university students. The method can promote the further development of artificial intelligence technology in the field of art creation and evaluation.
Design and Application of SPOC Hybrid Teaching for College Basketball Teaching Based on Artificial Intelligence Technology
Authors: Yan Duoduo 
Published: January 2024

Abstract
Students love basketball, but traditional teaching approaches are no longer able to suit their demands. In this article, artificial intelligence is combined with innovative teaching methods to create a new type of learning. Firstly, under the SPOC teaching mode, intelligent sensors are used to collect basketball sports data, and Kalman filtering is used for processing and segmentation. Then, through the definition of basketball sports gesture, the data division of basketball sports gesture, designing the basketball sports gesture feature extraction method based on unit division, and using the SVM method to analyze the basketball sports gesture features, designing intelligent SPOC hybrid basketball teaching. Finally, the experiments on data collection and motion attitude resolution in basketball are designed to investigate the effects of intelligent SPOC hybrid basketball teaching. The results show that the deviations of the collected acceleration and angular velocity are within 10−2 orders of magnitude and 1.8°/s deviation, respectively, and the average recognition effect of various basketball postures is 0.925, which is able to effectively carry out basketball motion recognition. The experimental class 1’s physical quality improved by roughly seven after the teaching application was implemented, and the P-value for the improvement of different basketball sports was less than 0.05, indicating that the planned instruction can greatly enhance students’ physical quality and basketball abilities.