bluuebunny/crossref_metadata_2025_split huggingface dataset:
Collaborative Development Mechanism of Vocational Education and Open Education Based on Advantageous Correlation in the Context of High-Quality Development
Authors: Sun Lingxia 
Published: November 2023

Abstract
High-quality development is the goal of the collaborative development of vocational education and open education, and this paper constructs a quality evaluation index system for collaborative development starting from the characteristics of vocational education and open education. The subjective and objective weights of each index are obtained by using the G1 method and the CRITIC method, respectively. The combined weights are solved by multiplicative normalization, and the synergistic development of vocational education and open education is comprehensively evaluated based on the gray correlation degree. To verify the effectiveness of the evaluation index system and explore the mechanism of synergistic development, an empirical analysis was conducted. The results show that the weight of the open education index is 0.3491, the correlation coefficient of the evaluation indexes is more than 0.7, and the factor with the strongest influence is the influence of education with a correlation value of 0.973, which indicates that the mechanism of collaborative development between vocational education and open education needs to pay attention to the influence of education, so as to promote the high-quality development of both of them.
Innovative Application of Visual Communication of Yi Lacquer Art under Internet Technology
Authors: Tan Ying 
Published: November 2023

Abstract
Based on archaeological and historical data, this paper firstly researches and explains the source and flow of Yi lacquer art in Liangshan and proposes the visual communication innovation strategy of Yi lacquer art. Secondly, it uses Internet technology to collect images of Yi lacquer art, grayscale them on the basis of obtaining images of Yi lacquer art, and then facilitates the adaptive threshold method to realize the conversion of the bitmap into a vector map. Then, considering that the visual database pattern resource of Yi lacquer art contains not only pattern information but also color information, we constructed the visual communication database of Yi lacquer art images and carried out an example analysis of the visual communication of Yi lacquer art images based on adaptive thresholding method. The results show that the accuracy, precision, and DSC of R-AMRFCM are improved by 0.0978, 0.4537, and 0.5436, respectively, compared with the GSRG algorithm in algorithmic analysis. In the analysis of Yi lacquer art communication behaviors, behavioral cognition (t=−4.108, p<0.01), behavioral habit (t=−3.090, p<0.01), behavioral intention (t =−2.848, p<0.01), emotional experience (t=−2.277p<0.05), subjective criteria (t=−4.241, p<0.01), and attitude towards Yi lacquer art communication (t=−5.268, p<0.01) are all significantly different. This study optimizes the details of Yi lacquer art dissemination in Internet technology and effectively promotes the visual dissemination and high-quality development of Yi lacquer art.
Strategies for the Integration of Traditional Music Culture in College Music Teaching under Information Diffusion Modeling
Authors: Sun Lingyang , Mo Shaoqian 
Published: November 2023

Abstract
The diffusion degree of traditional music in music teaching is analyzed by constructing an information diffusion model based on traditional music knowledge. Combine the information flow window to analyze the path process of integrating traditional music culture and music teaching. Combine the kernel function to calculate the degree of similarity between traditional music culture and music teaching. Analyze the students’ preference for traditional music culture content in music teaching by calculating the traditional music theme preference value. The results show that music teaching that incorporates traditional music culture has a better diffusion effect on teaching content, teaching method and teaching form, with the diffusion degree in the interval of [0.45, 0.85), and the diffusion degree interval of teaching information that does not incorporate traditional music culture is in the interval of [0.25,0.35). This study contributes to the integration of traditional music culture and music teaching to a certain extent and enhances the effect of music teaching in colleges and universities.
Diversified Curriculum Innovation in College Vocal Music Education under Deep Learning Modeling
Authors: Hou Wei 
Published: November 2023

Abstract
This paper takes the problems and ways of diversified curriculum construction of vocal music education in colleges and universities as the entry point and constructs a deep blended learning model of vocal music diversified curriculum based on the deep learning model. The deep evolutionary knowledge tracking model is constructed by combining the self-attention mechanism embedding model with vocal music knowledge evolution based on Transformer. To verify the effectiveness of the deep blended learning model constructed in this paper, model comparison experiments and empirical analysis were conducted. The results show that compared with the SAKT model, the DBL model in this paper has a 5.19% improvement in the average ROC-AUC value. The vocal posttest scores of the students in the experimental class were 5.09 points higher than those of the control class, with a two-tailed significance value of 0.027, which is less than 0.05 and a significant difference. This indicates that the deep learning model can effectively promote the innovative design of diversified curricula for vocal music education in colleges and universities and enhance students’ vocal music learning ability.
Financial Decision Management of Enterprise Cloud Accounting Based on Big Data Technology
Authors: Gu Ruipeng , Zhou Lei 
Published: November 2023

Abstract
As an inevitable trend of the development of the times, this paper explores the application of big data technology in enterprise financial decision-making and constructs a complete process of enterprise financial management based on data mining. The improved k-Means algorithm is used to complete the clustering analysis of financial data, and the CAP algorithm is applied to the identification and classification of financial problems to realize the early warning of the financial crisis. Combining analysis and early warning, the financial decision management system in enterprise cloud accounting is constructed using the ID3 algorithm. Company H, a real estate enterprise, was selected as a research case and analyzed by collecting financial data and using data mining methods. The profitability, solvency, operations, growth, and cash capacity scores for Company H in 2021 are 11.19, 4.24, 4.94, −0.56, and −0.48, respectively. The changes in Company H’s profitability, solvency, and operations are relatively stable from 2013-2019.
Discussion on the development of rural tourism and cultural industry based on the coupling degree model
Authors: Zhang Yuan 
Published: November 2023

Abstract
A coupling degree model based on rural construction and the rural tourism and culture industry is constructed by analyzing the relationship between the two. The scope of application of the coupling degree is studied, and the framework of the coordination process of the interaction between rural construction and the tourism and culture industry is delineated. The method of dimensionless processing is applied to deal with the raw data to ensure the correctness of model calculations and system analysis. By combining the coupling degree division standard, the rural tourism and culture industry’s coupling degree is divided. The index system of rural tourism culture is constructed according to the principle of the evaluation index system. By analyzing the coupling degree of rural infrastructure and tourism culture industry, relevant development strategies are proposed. The results show that the coupling degree interval corresponding to the transportation facilities from poor to good is (0.2, 0.52), and the coupling degree corresponding to the transportation facilities when they are good is 0.51. The coupling interval corresponding to the dietary conditions from poor to good is (0.27, 0.73).
Digital Teaching Model of College English Based on Accurate Recommendation Model
Authors: Luo Yingfang 
Published: November 2023

Abstract
This paper analyzes the technology of university English digital teaching formation in the context of the Internet, designs a university English resource base according to the characteristics of digital teaching resources, the degree of integration, and designs an autonomous teaching platform for university English based on the English resource base. On this basis, combined with the matrix decomposition algorithm, the knowledge point association matrix integrating multiple factors was constructed to design the English resource recommendation algorithm based on the matrix decomposition of the improved hidden semantic model. In addition, the Jmeter testing tool and SPSS tool were utilized to analyze the performance of the system and the application effect of the teaching model. The results show that the overall recommendation accuracy is also above 0.92, the request anomaly rate is 0% when the number of threads is 300, the response times are all kept within 0.1s, and the overall English learning effect is improved by about 0.3 on average. The digital teaching mode of university English in the context of the Internet can greatly enhance the impact of English teaching.
Combining Adaptive Mathematical Morphology and Visual Reconstruction Theory for Animation Creation
Authors: Xia Tian , Tirakoat Suwich 
Published: November 2023

Abstract
This paper first discusses the use of traditional elements in animation creation and analyzes the linear narrative and artistic expression involved in its creation. Secondly, in order to carry out the image design of animation creation, the color adaptive mathematical morphology is used to carry out the image edge calculation, and the ICP algorithm in the visual reconstruction theory is introduced to carry out the point cloud alignment and fusion. Finally, the effectiveness of this paper’s method is evaluated by comparing algorithms and examples. According to the findings, the loss rate of expansion and corrosion details using the color adaptive mathematical morphology operator is 0.05% and 5.69%, respectively. The overall evaluation of the visual reconstruction presentation is 94.93% at grade C or above. This shows that using the method of this paper can accurately realize the image design of animation creation, enhance the audience’s perception of animation with a clearer view, and then promote the prosperity of the animation industry.
Strategic Performance Management Based on Cigarette Production and Operation Big Data
Authors: Zhang Chiyuan , Pu Tong , Zhou Xiaolong , Chen Qian , Yao Bin , Li Hongcheng 
Published: November 2023

Abstract
The traditional strategic performance management of cigarette enterprises is not sufficiently comprehensive and objective. This paper constructs a big data model of cigarette production and sales by collecting production and operation data, using the primary sliding average method of time series analysis to forecast the short-term sales of cigarettes, and combining it with the coefficient of the dynamic sales ratio. The operational big data is applied to strategic performance management under the balanced scorecard, and the performance management index system is constructed with strategic orientation in mind. Based on the production and sales data of Cigarette Factory S, the weights of the indicators are determined and applied to the empirical study. The scores of the indicators of finance, customer, internal operation learning and growth of Cigarette Factory S are 78.14, 82.29, 87.07 and 81.68, respectively. The performance management system of the Cigarette Factory under the strategic orientation is feasible.
Construction of digital cultural tourism integration holiday system based on differential equation model
Authors: Xu Linqiang 
Published: November 2023

Abstract
This paper first discusses the new mode of digital technology to boost the culture and tourism integration vacation industry and analyzes the specific application of digital technology in the culture and tourism integration vacation. Secondly, the index evaluation system is constructed with the goal of vacation destination competitiveness, and the gray time-lag prediction model is constructed by introducing the time-lag differential equation model combined with the gray correlation degree and the GM(1,1) model. Finally, an empirical analysis of competitiveness prediction was conducted to confirm the effectiveness of the gray time-lag prediction model. The results show that the tourism resource product has the highest comprehensive relevance, with a score of 0.9254, respectively. The use of the gray time lag prediction model can realize the prediction of the competitiveness score of the vacation destination and provide effective data support for the construction of a digital culture and tourism integration vacation system. This shows that the time-lag differential equation combined with the gray prediction model can be used to analyze the competitiveness score of the vacation destination, promote the deep integration of culture and tourism industry, and create a vacation system that better meets the expectations of tourists.
The Embedding of Higher Education Innovation Theory in the Management of College Students in the Context of Informatization
Authors: Yang Chunlin 
Published: November 2023

Abstract
This paper uses the BTM algorithm, which has been improved by word embedding and self-attention mechanisms, to analyze the degree of embedding of innovation theory in college students’ management. By analyzing the principle of attention mechanism and self-attention mechanism, it constructs the embedding analysis model for higher education innovation theory. By analyzing the cw2vec and word2vec models, the expression of innovation theory vocabulary is derived. Based on the improved BTM algorithm, the WESA-BTM model is applied to give higher weights to the subject words with higher subject contributions. Parameter solving, as well as derivation, were used to determine the impact of innovation theory on college students’ management follow-up. The results show that the improved BTM algorithm can effectively analyze the embeddedness of innovation theory in college students’ management, and the WESA-BTM model in Web Snippets is evaluated to be −573.26 at the number of topics of 20 and −561.71 at the number of topics of 40. This study improves the efficiency of college students’ management in colleges and universities to a certain extent.
Study on the influence of ionic rare earth element transport pattern on the ecological environment of slopes and protection strategy
Authors: Deng Yunchuan , Wan Yinhua , Kang Shijie , Yang Jie , Yu Hongdong 
Published: November 2023

Abstract
In this paper, firstly, the in situ leaching process of ionic rare earths and the mechanism of transforming effect of in situ leaching on the material composition and structure of the soil body of the slope were studied. Then, using ammonium sulfate as a leaching agent, the distribution law of rare piles of earth in minerals, water-leaching filtrate and acid-leaching filtrate in different leaching columns was analyzed, and the equilibrium relationship of each main substance in the process of elemental migration was calculated. At the same time, based on Darcy’s law to study the change rule of the permeability and strength parameters of rare earth ore bodies in the process of leaching liquid leaching. Finally, based on the results of the study, a program for managing slopes for ionic rare earth ore is proposed. It is analyzed that the total amount of ionic rare earths in the minerals and the total amount of rare earths in the water-leaching filtrate and acid-leaching filtrate after five stages of leaching are 5.5 g, 3.25 g and 5.39 g. When the leaching solution is water, 2% ammonium sulfate and 5% ammonium sulfate, the permeability coefficients of the ore body are increased to 4.12×10−3, 5.02×10−3 and 6.56×10−3, respectively.
Inheritance and Changes of Historical Folk Beliefs in Macao Based on Statistical Analysis
Authors: Zhong Jiehua , Wang Xi 
Published: November 2023

Abstract
In this paper, the fuzzy data are firstly condensed using principal component analysis, and the main component information is extracted using the covariance formula while retaining the original data. Then, clustering is applied to classify the indicators and detect the correlation between the data. Finally, the internal relationships in the original data are studied by factor analysis, and the accumulated and analyzed data are processed by dimensionality reduction to extract the main features and observe the main factors affecting the characteristic variables. The results show that the folk beliefs of the Macau people have gradually tended to localize from Westernization due to the influence of traditional Chinese ideology and culture. Among them, belief in Buddhism occupies 51.9%, while Catholicism and Christianity are only 6.7% and 2.3%, respectively.
Teaching Chinese Painting Colour Based on Intelligent Image Processing Technology
Authors: Yang Guangyu , Zhou Honglei 
Published: November 2023

Abstract
This paper constructs a Chinese painting color teaching platform based on intelligent image color processing technology. Firstly, the region segmentation method is used to reasonably segment the pixel points according to the similar values of color and texture parameters of the image. Then, the image’s primary color grayscale parameters are fuzzy, detected, equalized, and fused by color difference values. Finally, the gradient optimization algorithm is combined to identify and control the image color parameters. The results show that the highest value of peak signal-to-noise ratio can reach 73.4db for the images processed by the method of this paper, and the mean value of STRESS is kept between 0-10%. The intelligent image color processing technique has been proven to enhance the aesthetics and innovation of Chinese painting colors in students.
Application of Multi-Data Fusion Technology in Intelligent Design of Urban Environment
Authors: Yang Tongming 
Published: November 2023

Abstract
This paper adopts multi-data fusion technology to design urban environmental intelligence. First, store the information collected by the reader communication module and receive and analyze the urban environmental monitoring data sent by the handheld RF reader. Secondly, calculate the mean value of environmental data by weighted average, summarize the sample information by combining it with Bayesian estimation, and fuse the values of the multi-sensor data. Finally, D-S evidence inference is utilized to expand Bayes and enhance the degree of trust in the focal element. The results show that the utilization value of multi-data fusion technology can reach 1000, with the growth of time, the public urban environment concern reaches 900 times, the level of intelligent design of the urban environment is improved faster, and the overall effect is good.
Variable substitution methods in the solution of stochastic ordinary differential equations and their applications
Authors: Zhang Ting 
Published: November 2023

Abstract
In this paper, we first propose numerical solution methods for stochastic ordinary differential equations by using the two-step Maruyama method and Euler-Maruyama method in variable substitution, and analyze the mean-square compatibility, mean-square convergence and mean-square linear stability of the corresponding numerical methods, respectively. Finally, 10,000 times value experiments are conducted to verify the convergence accuracy and stability of the variable substitution methods. The results show that the Euler method simulates this equation when taking steps h = 0.05, β = 5 and σ = 2 for numerical experiments, and the numerical results obtained are convergent but unstable. On the other hand, the Euler-Maruyama method with variable substitution is consistent with the real solution. It shows that variable substitution is an important method for solving stochastic ordinary differential equations with high convergence and stability, which is of great significance for the solution of stochastic ordinary differential equations.
Research on Data Governance System for Information Sharing and Openness
Authors: Yang Bohua 
Published: November 2023

Abstract
In today’s informationization era, information sharing and openness represent advanced productivity, but the current information-sharing work is not being carried out as well as expected. Therefore, this paper first defines data governance and utilizes IBM software to sort out the unified process of data governance. Then, the fuzzy DEMATEL method was constructed by introducing a triangular fuzzy number and the DEMATEL method, and then the data governance capability evaluation model was established. Finally, it studies the effectiveness of enterprise data governance and analyzes the influence factors of enterprise data governance behavior based on DEMATEL. N enterprise data standard governance is highly rated, with “very good” and “good” ratings accounting for 58.6%. In terms of centrality analysis, the impacts of data standard application, kinship data and metadata collection in the third-level indicators are 6.247, 5.731 and 5.671, respectively, which need to be highly emphasized.
Research and Effectiveness Analysis of Innovative Teaching Models of Physical Education in Colleges and Universities under Convergent Network Architecture
Authors: Du Meng 
Published: November 2023

Abstract
In order to realize the innovation of sports teaching mode, this paper first combines the motion capture technology and three-dimensional modeling technology, based on the objectives and theories of sports teaching in colleges and universities, and constructs a college sports auxiliary teaching system under the fusion network architecture. Then, the three-dimensional modeling of sports action, the extraction of key sports action features, and the use of generalized discriminant analysis and hierarchical SVM construction method for the degradation and classification, respectively, to achieve the recognition of the sport in sports teaching. Finally, the effectiveness of the system and teaching model was tested and evaluated through the use of Loadrunner and SPSS software. The results show that the response time is 2s when the number of concurrent users is 100, the utilization rate of CPU is 64.2%, and the mastery of sports knowledge and movement skills of the experimental class is higher than that of the control class by 0.18 and 0.26, respectively. The innovative teaching mode of physical education in this study is effective.
The design of causal thinking in the practical activities of ideological and political education in colleges and universities
Authors: Xia Yan 
Published: November 2023

Abstract
The purpose of this paper is to analyze and research the practical activities of ideological and political education in colleges and universities using causal thinking design. Firstly, it studies the meaning and characteristics of ideological and political education and proposes a causal hypothesis. Secondly, the structural causal model is used to complete the basic structure of the causal thinking model, and the structural causal model is optimized using the HSIC Lasso method. Then, based on the Bayesian generative causal directional algorithm, the functional causal model is constructed, and the model is optimized. Based on the model, the Interaction Network Method for Civic Education Practice in Colleges and Universities is framed. Finally, based on the SCM algorithm, the learning effect of Civics in colleges and universities is analyzed. The Y → X and X → Y causal inference accuracy of the SCM algorithm is 100% and 90%, respectively. More than 70% of the students think that causal thinking exercises help to improve the learning effect of the Civics course.