bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Connectivity and Inheritance Path of Traditional Dance Elements Based on Graph Theory
Authors: Li Yue 
Published: December 2024

Abstract
With the progress and development of the times, the excavation and protection of national traditional dance is the historical necessity of its development and inheritance. This paper carries out research on the analysis of traditional dance movements using digital technology and motion capture technology. The traditional dance digital inheritance technology path is proposed to decompose the traditional dance into four digital media: model, movement, audio and video, and determine the digital display and inheritance process of traditional dance activities in the diffusion dimension. Based on the segmentation algorithm of graph theory, the traditional dance action image is segmented, the optical flow map is used as the input of this stage, and the entropy value of each optical flow map is calculated so as to realize the extraction of action features. Finally, a dataset of six typical movement combinations of traditional dance was constructed to optimize the traditional dance movements of the trainers. The research results show that the traditional dance dataset is constructed reasonably, the recognition model has good performance for traditional dance classification, and the optimal classification accuracy rate is 0.9645 under the Euler Angle feature, which effectively records and preserves the traditional dance movements, and provides a new way for the connection and inheritance of folk dances.
Research on public policy formulation and evaluation mechanisms under the PDCA cycle model
Authors: Liu Xuxiang , Lu Wenbin , Zou Tao 
Published: December 2024

Abstract
This paper proposes a PDCA cycle model for public policy formulation, and proposes a public policy implementation effect prediction model and a public policy implementation effect evaluation model for the situation before and after the implementation of public policy, respectively. In the public policy implementation effect prediction model, simulation is carried out based on Data Farming of Agent simulation, and a genetic algorithm is used as the basis to determine the input parameters of the loop operation and complete the adaptive search process of the optimal solution. The DID model sets dummy variables to calculate the value of DID, and the common trend assumption is applied to link it to the policy effect. The endogenous choice model is used to evaluate public policies, and the regression synthesis method is utilized to reduce subjective interference in the selection of control group samples. The STI public policy of Hebei Province, China, is evaluated from 2019 to 2023, and its STI policy effect improves from -0.3661 in 2019 to 0.4778 in 2023, showing a continuous upward trend. In terms of policy publicity, the science, technology and innovation policy scores higher than the transportation policy by 0.16 and 0.26 in terms of the fit between public services and public needs and policy performance, while the rest of the publicity aspects are all lower than the transportation policy.
Application of accounting automation technology in esg audit practice and its impact on audit quality
Authors: Li Guanying 
Published: December 2024

Abstract
How to realize the automation of auditing work has become the goal pursued by auditors, and the development and application of RPA technology brings opportunities and challenges for realizing audit automation. This paper proposes an ESG automated auditing technology by integrating ESG and K-means clustering algorithms on the basis of RPA automation technology. Then, through actual cases, we explore the effect of ESG automated auditing on auditing in practice. Using ESG automated auditing technology to practice the application of drug charging behavior in Hospital A. Using the K-mans algorithm to mine the potential relationship between drugs and conduct correlation analysis of drugs, the study finds that ESG automated auditing technology can effectively help auditors to complete their work, realize the automation and intelligence of intelligent auditing, save auditing manpower costs, and improve efficiency. To further analyze the impact of ESG automation auditing technology on audit quality, regression analysis was conducted on pharmaceutical companies in Hospital A. The regression results show that the regression coefficient of ESG automation auditing is -0.004, which is unchanged at a 1% statistical level, indicating that ESG automation auditing technology is significantly negatively correlated with manipulatable accrued profits, i.e., the better ESG automation auditing technology is, the higher its audit quality is.
Exploring the Diversified Development Model of Student Management in Colleges and Universities Based on the PLSPM Model
Authors: Gao Yan 
Published: December 2024

Abstract
This paper takes the theory of planned behavior as a feasible basis for improving college students’ participation in college student management, and in view of the behavioral guidance of the theory of planned behavior for college students’ participation in college student management, it is pointed out that there is a strong correlation relationship between college students’ willingness to participate in school management and their behavior. Adding the relevant factors affecting college students’ participation behavior and willingness to participate, the PLSPM model was selected to establish the structural equation model of college students’ participation in college student management behavior. The validity test and covariance test are carried out, and the PLSPM structural model is fitted and corrected. The significance of each path is determined based on the results of standardized path coefficients after correcting the model. Combined with the functional requirements of the new model of student management in colleges and universities, the focus of the multifaceted development of the student management model in colleges and universities is elaborated.PLSPM path analysis shows that the standardized path coefficient of perceived behavioral control to participatory behavior β = 0.441, corresponding to the same level of significance less than 0.001, and the hypothesis is established through statistical testing. Similarly, it can be obtained that college students’ behavioral attitudes, subjective norms, and perceived behavioral control all positively affect their willingness to participate. Participation behavior is positively affected by participation willingness and perceived behavioral control. That is to say, the diversified development of college student management mode should be student-oriented, take college students’ willingness to participate and participation behavior as the basis for mode improvement, emphasize students’ behavioral attitudes, subjective norms, and perceived behavioral control of participation, and contribute to the diversified development of college student management from the main body of student management.
Application of digital twin technology in production process optimization and performance prediction of new energy battery packs
Authors: Li Chunhui , Li Zun , Ding Haitao , Huang Junsheng , Zhang Huiju 
Published: December 2024

Abstract
Digital twin technology plays a crucial role in completing the virtual mapping of the physical workshop, enabling production monitoring and process optimization. New energy batteries are a form of green energy with advantages such as high energy density, environmental protection, and beneficial safety. The assembly line for new energy batteries is essential in efficiently obtaining battery packs of diverse varieties and high quality. This paper presents three assembly design schemes for square lithium iron phosphate battery packs as an example. By comparing the characteristics of different schemes, scheme C was selected as the preferred option for conducting three-dimensional modeling of the assembly line. This paper utilizes digital twin technology to create a digital representation of the battery pack assembly process. The process flow of the designed production line can be tested. The loading time, equipment idle time, fault time, blocking waiting time, material shortage waiting time, etc., of each workstation in the production line can be accurately calculated. Optimize the production process flow, reduce resource occupation, and save a large amount of human and material resources.
Research on music teaching content design based on intelligent algorithm optimization under constructivism theory
Authors: Chen Pengyan 
Published: December 2024

Abstract
As an important learning theory, constructivism has received more and more attention and has been widely used in various teaching fields. Under the guidance of constructivism theory, a student-centered music teaching model is constructed to optimize music teaching content with the help of intelligent algorithms from music learner profiling and learning resource design. The K-means are optimized using the topological distance theory, which is used in the characterization of music learners, followed by the use of an improved collaborative filtering recommendation algorithm to realize the recommendation of music resources based on learner characterization. Experiments are conducted with students of a music college as an example, and it is found that the sample students prefer learning resources in the form of videos and are mostly of the type of reflectors (28%), which can be classified into three types of good (46%), excellent (39%) and poor (16%) music learners. The students who used the recommended model of this paper to assist their learning had the most significant change in their music knowledge level after the experiment, with an improvement of 5.3 points, and the best satisfaction evaluation results. Based on the analysis of learners’ characteristics, the use of intelligent algorithms to optimize learning resources in music teaching can promote improvement in music teaching quality.
Research on the Construction and Implementation Path of School-Enterprise Collaboration Case Bank Based on the Deep Integration of Industry, Academia and Research
Authors: Liu Qiaobin , Sun Jinpeng , Liu Xuran 
Published: December 2024

Abstract
Accelerating the deep integration of industry-university-research has become a key link in school-enterprise collaborative education, which is an important initiative to deepen collaborative innovation among enterprises, universities, and research institutes and to promote the high-quality cultivation of talents. The article establishes an all-around collaborative education model of government, university, and enterprise association, and constructs a framework of university-enterprise collaborative case base with the technical support of AI platform and the Internet. To enhance the application feasibility of the university-enterprise collaborative case database, the nearest neighbor method is adopted for case retrieval, and the case feature attributes are obtained through local similarity, combined with global similarity for matching and retrieval of similar cases. Based on the collaborative case library between universities and enterprises, a teaching experiment was designed. The construction of the case library and its teaching effect were verified using the social network analysis method. The time consumed in case retrieval through Manhattan similarity is only about 1.5s. The network density of the online learning community based on a collaborative case between a university and an enterprise is 0.274. The average distance and cohesion index between learners are 2.003 and 0.576, respectively. The collaborative case base between universities and enterprises can improve students’ learning attitudes, enhance students’ learning interests, and provide a new avenue for cultivating high-quality talents that meet the needs of enterprises.
Design of Optimization Algorithms for Supply Chain Allocation of City-Level Public Resource and Case Studies of Practical Applications
Authors: Hu Feng , Zou Tao 
Published: December 2024

Abstract
As an important part of urban public resources, water resources profoundly affect the rationality of urban public resource allocation. In this paper, a multi-objective urban water resource allocation model is proposed by constructing three objective functions of society, economy, and ecology, and setting relevant constraints. Based on the advantages of the simulated annealing algorithm, it is selected as the optimization-solving method. The solving experiments of the algorithm show that the simulated annealing algorithm can jump out of the local optimal many times under the condition of an appropriate temperature drop rate and has good solving performance. Among the four allocation schemes in Jining City, for example, it is found that after the allocation by scheme 4, the average water shortage rate of the city is only 2.63%, and it has taken into account the social, economic and environmental benefits, and it obtains an expert satisfaction score of up to 3.99 points. It shows that the method proposed in this paper can propose an appropriate water allocation scheme with practical application.
Research on the Construction of Higher Vocational “Dual-Teacher” Teaching Team in the Context of Digitization
Authors: He Bingbing 
Published: December 2024

Abstract
At present, the performance evaluation of “dual-teacher” teachers has problems such as relying on subjectivity and unreasonable evaluation content. In order to make up for the shortcomings of the current teacher performance evaluation, this paper uses the AHP-Entropy algorithm to construct a “dual-teacher” teacher performance evaluation system. Firstly, we select indicators, establish a hierarchical model, construct a judgment matrix, determine the weights of each level, and perform hierarchical ranking. Then, we use the entropy weighting method to establish the data matrix and calculate the weights of each index using dimensionless data. Finally, a questionnaire was designed to analyze the performance of teachers X, Y, and Z in a school. It is found that the total score of X, Y, and Z teachers’ performance evaluation is 85.73, 74.57, and 67.82, which is basically in line with the actual situation, and the institutions can carry out performance incentives and problem improvement based on the evaluation results. In light of this, the paper proposes a comprehensive approach to utilizing digital resources, including vocational colleges, government departments, enterprises, and other relevant entities. It also emphasizes the importance of providing digital technical support to teaching teachers and timely updating teaching equipment to ensure the successful implementation of digital teaching.
Empirical analysis and model construction of labor education quality assurance under the framework of industry-education integration
Authors: Rao Fenfang 
Published: December 2024

Abstract
Labor education, an essential component of both quality and comprehensive education, plays a crucial role in nurturing talent within each university. This paper establishes the evaluation index system for labor education quality assurance within the industry-education integration framework, integrates the gray-fuzzy comprehensive evaluation method to build the assessment model, and selects four colleges and universities in a specific location as samples for empirical analysis. We construct a theoretical model of the influencing factors of labor education quality assurance on this basis, and use structural equation modeling to analyze the collected data, verifying the study’s assumptions and the mediating effects of the variables. The sample colleges and universities have labor education quality assurance scores ranging from 3.63 to 3.88, indicating a good level of evaluation. The content, pathway, guidance, and guarantee of labor education significantly enhance its impact, further contributing to its perceived value (0.867), student satisfaction (0.933), and behavioral intention (0.256). Colleges and universities should enrich the connotation of labor education, explore and integrate labor education resources, strengthen the construction of faculty, and deepen the integration of industry and education so that labor education can make greater contributions to the cultivation of talents in the context of the integration of industry and education.
Computational Challenges of Animation Experience in Virtual Reality Environments and the Convergence of Digital Media Art and Design
Authors: Liu Xian 
Published: December 2024

Abstract
With the rapid development of virtual reality technology, animation production technology has been developed at a high speed, and the traditional calculation method can no longer fully meet the needs of the animation experience. In this paper, the computational optimization of animation experience is carried out using three aspects: animation scene modeling, character modeling, and visual experience, and a new animation production scheme is developed. The nodes of the animation scene are organized and processed, and the distortion components are iterated to obtain the depth coordinate values of the nodes to construct the animation scene. Construct the animated character model by stacking modeling method, import the animated character data into the machine learning model, identify the data differences and fill in the data with the nearest neighbor algorithm to optimize the visual perception experience. Take commercial advertisement design as the research object and design the advertisement theme for the 3D virtual stereoscopic fitting room. With the increase in scene data, the continuity of the scene modeled by the animation modeling method in this paper rises from 45.6% to 94.58% in Group 1. The running frame rate and texture number of the character model constructed by the animation character modeling method in this paper are better than that of the SketchUp method, with a maximum difference of 14.89 f/s and 16.33 MB. The modeling accuracy of animated characters is also significantly better than that of the SketchUp method.
On the Enabling Role of Party Organization Embedding on the Healthy Development of Private Enterprises in the VUCA Environment - A Perspective Based on Network Embedding and Higher Echelon Theory
Authors: Shi Yishuai , Guan Yuhang 
Published: December 2024

Abstract
Promoting the transformation and upgrading of enterprises is an important way to promote the construction of national ecological civilization and achieve high-quality economic development. Meanwhile, the incorporation of party organizations helps private enterprises solve this problem. Based on the network embedding and high-order ladder theory in the VUCA environment, this paper proposes two major hypotheses: firstly, the embedding of party organizations effectively promotes the healthy transformation of private enterprises, and secondly, the heterogeneity of executive teams modifies the healthy transformation of enterprises. We construct an empirical model and define the main variable factors based on relevant studies from previous scholars, taking into account various aspects of enterprise technology transformation. This paper sequentially verifies the hypotheses through empirical analysis. The hypotheses are verified through Tobit regression, and the regression coefficients of models (1)–(4) are 2.578, 1.845, 0.715, and 0.425, respectively, and they are all significant at the 1% level, which shows that the enterprises that set up a party organization will have a better performance in transformation and upgrading, and the hypothesis H1 is verified. In the moderating effect analysis, the three heterogeneity of the executive team’s age, occupational background and educational background, and the coefficient of the interaction term of the heterogeneity of network embedding are −0.091, 0.037, 0.029, respectively, of which the coefficient of the age heterogeneity is negative and insignificant, which indicates that the age heterogeneity of the executive team does not affect the relationship between the network embeddedness of the party organization and the transformation of the private enterprises, and Hypothesis 2a is not valid, The remaining two coefficients are positive and significant at more than 10% level, hypotheses 2b and 2c are valid.
Research on the Innovative Application of Yangzhou Lacquer Art in Tea Set Design from the Perspective of Non-Heritage Living Inheritance
Authors: Xu Hang 
Published: December 2024

Abstract
Yangzhou lacquer art, as a precious historical and cultural heritage in China, has a high reference value for modern tea set design. In this paper, firstly, the development and design method of the tea set based on Yangzhou Lacquer Art is combined with SIFT and BRISK feature extraction algorithms to screen out the stable image feature points and feature extract the traditional decorative patterns of the tea set, and then the neighborhood pixel gradient distribution of the feature points is counted through the histogram to determine the maximum peak of the neighborhood gradient. Subsequently, the RANSAC algorithm is applied to calculate the coordinate transformation relationship between the feature points of the template image and the corresponding feature points of the image to be matched, and a portion of the matching points with large errors are removed to obtain the correct matching points. Using a Generative Adversarial Network, the efficient hyper-segmented pattern tattoos are reconstructed, and the RMGAN loss function is designed to satisfy the problem of stochastic gradient descent of the image, and the generated image is optimized step by step. Through surface modeling to assist Yangzhou lacquer art tea set shape design modeling and the local shape of the tea set, to realize the physical design of the tea set of Yangzhou lacquer art. Empirical investigation on the market feedback after the design of the tea set, from the results of the survey: different groups of people on the use of the process of satisfying behavior, sensory experience demand is high, especially the youth group, the degree of demand is 0.7456, 0.7655. Users want to use classical colors and traditional painting elements in the design of the tea set, with a response rate of 23.91% and 30.43%, respectively. Combining the technical method developed in this paper with the results of demand analysis, it provides a practical method for applying Yangzhou lacquer art to tea set design.