bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Path of Meishan Cultural Renewal and Expansion Based on Data Association Rules
Authors: Li Tao 
Published: December 2023

Abstract
Metadata and data association rules are combined in this paper to create an aggregation framework for Meishan cultural digital resources. Meishan cultural digital resources are standardized through the use of metadata standards. The accuracy of metadata is evaluated in conjunction with trustworthiness. Metadata association rules are employed to evaluate the degree of association in Meishan cultural data. Enhance the efficiency of data association analysis by enhancing the Apriori algorithm. The algorithm is applied to the association analysis of Meishan culture data, and the degree of association between different digital resources and Meishan culture is determined by combining the data. The results show that the highest correlation with Meishan culture is the digital resources of documentaries and skills, with a correlation degree of 0.9, and the lowest correlation is the book resources, with a correlation degree of 0.65. The number of nodes in the period of 1-6 and the time consumed by each dataset is in the interval of (7000,1100).
Historical stylistic evolution of traditional temple murals based on time series analysis
Authors: Wang Jiong 
Published: December 2023

Abstract
In this paper, firstly, on the basis of time series analysis, considering the validity of data research data, it is necessary to carry out the pre-processing process of independent variables and dependent variables of temple frescoes and then select the characteristic variables of temple frescoes, and get the multivariate time series of temple frescoes through wavelet correlation analysis of the characteristic variables of temple frescoes. Then, construct the classification model of temple frescoes based on the multivariate time series through the image processing of temple frescoes, get the feature values applicable to the model classification, considering the accuracy and convergence of the model classification, the temple frescoes features are needed to be extracted and trained, and at the same time, the evolution of the historical style of the traditional temple frescoes is analyzed by examples. The results show that in terms of performance, the method of this paper achieves 90.34% accuracy, and the comparison results of two indicators, recall and F1 value, also show that this paper shows good performance compared with the other four models. In the correlation analysis, it is found that there is a significant correlation between the rich artistic heritage of dynasties (P=0.66>0.05), the economic prosperity of dynasties (P=0.75>0.05) and the evolution of the historical style of temple frescoes, and it is proposed that traditional temple frescoes are protected and developed paths.
Application of traditional cultural elements in modern interior design in the era of artificial intelligence
Authors: Wang Jue 
Published: December 2023

Abstract
This paper applies traditional cultural elements to modern interior design and first analyzes the expression types of traditional cultural elements. Secondly, the color and pattern elements in traditional cultural elements are extracted by color matrix and SIFT algorithm, and the pattern and color elements are applied to modern interior design using an intelligent recommendation algorithm. Next, the layout elements of traditional cultural elements are modeled, and the automatic layout algorithm is created to be utilized in modern interior design. Finally, the performance of extracting traditional cultural elements and their application are analyzed. The results show that the recognition rate of various colors is above 0.88, the extraction accuracy of the overall traditional cultural pattern elements is around 0.9, the overall degree of the graphic color element recommendation is greater than 0.88, the hierarchical difference between the traditional cultural layout and the intelligent layout is between [0.001, 0.01], and the functional difference is between (0, 0.02], and all of the automatic layout algorithms can be completed within 0.2s.
Research on English Intercultural Teaching Mode in Colleges and Universities under the Background of Industry-Teaching Integration
Authors: Wang Xiaoru , Liu Nian 
Published: December 2023

Abstract
In order to improve the practical ability of English in colleges and universities, this paper puts forward the concept of AKEE teaching based on English intercultural communicative competence under the background of integration of industry and education and designs the intercultural teaching mode of college English based on AKEE teaching under this concept, and constructs the teaching quality evaluation index system of the intercultural teaching mode of English in colleges and universities in the light of the teaching content. On this basis, the English intercultural teaching model was constructed based on the entropy weight-TOPSIS method, and the selected indicators were tested for validity using principal component analysis, and the final evaluation results were obtained by calculating the entropy weights. The results show that in the order of comprehensive evaluation, teaching effect>teacher quality>teaching content>teaching resources>teaching quality feedback, with the mean values of 0.811, 0.804, 0.803, 0.799 and 0.798, respectively. Intercultural teaching of English in colleges and universities can improve the teaching effect as well as the quality of teachers.
Exploration and Practice of Online-Offline Hybrid Teaching Mode in Teaching Higher Education Courses under the Background of Internet+
Authors: Wang Yisha 
Published: December 2023

Abstract
In this paper, a Bayesian approach and a recommendation algorithm are used to construct a method for evaluating students’ competence in a hybrid teaching model. The Bayesian method is used to create a mathematical description of the student’s ability level. The purpose of classification is achieved by extracting features of students’ learning results and preference directions using the simple Bayesian method. According to the recommendation algorithm, the recommended objects’ content features are retrieved, and teaching resources with high matching degrees are recommended for students. The recommendation algorithm in this paper can effectively determine the ability level of students, as demonstrated by the results. The probability of the highest P1 mastery rate among A-E students is 0.3179 for B students, and the probability of the highest P2 mastery rate is 0.1409 for D students. The average score of the experimental class that implements blended teaching is 76.631, while the average score of the control class is 73.7841, and the experimental class is 2.8469 points higher than the control class. 2.8469 points. This study promotes the development and progress of blended teaching to a certain extent.
The Path of Red Culture Integrating into Civic Education in Colleges and Universities Based on Big Data Analysis
Authors: Yang Fengyu 
Published: December 2023

Abstract
This paper firstly proposes the EWM-TOPSIS method for evaluating the degree of integration of red culture into the Civic-Creative Education of colleges and universities, constructs the corresponding evaluation index system, utilizes the EWM method for the calculation of the index weights and carries out a comprehensive evaluation through the TOPSIS method. Secondly, the necessity and value performance of the integration of red culture into Civic Education is analyzed. Finally, the evaluation index system was utilized to verify the examples of red culture integrated into Civic Creation Education in colleges and universities. The results show that the weight value of revolutionary tradition education in the red culture integration into college CIC education is the highest at 0.1294, and the comprehensive evaluation results of the five colleges and universities show that School A scores the highest at 85.49 points. This shows that the integration of red culture into college CIC education needs to focus on the educational purpose and educational context so as to promote the better integration of red culture into college CIC education and to enhance students’ understanding and development of red culture.
Research on Employment Stability Evaluation and Influencing Factors of College Graduates under Data Mining Technology
Authors: Qi Guifen 
Published: December 2023

Abstract
In this paper, while analyzing the specific performance of college graduates’ employment behavioral decision-making changes and significant differences in employment choices, we use data mining technology to analyze the data on the employment stability of college graduates, select gray correlation analysis and hierarchical analysis to determine the index weights of employment stability and construct an evaluation model of employment stability of college graduates. This paper makes an empirical study on the factors affecting the employment stability of college graduates, analyzing the differences in employment stability in terms of gender, education, type of graduation institution and location of the unit. The analysis shows sig<0.05, which means that it shows a significant difference at the level of 0.05, then there is a significant difference in the employment stability of college graduates in the early stage of graduation in terms of education and the type of graduation institution. Thus, we should strengthen the awareness of college graduates about their education and their advantages so as to promote the stable employment of graduates.
Information Service Innovation in College Libraries Based on Big Data Analysis
Authors: Li Zhuyu 
Published: December 2023

Abstract
This paper first proposes a real-time recommendation technique based on user images and utilizes multi-dimensional small data fusion for user image construction, which in turn gives a personalized wisdom service recommendation structure. Secondly, user long and short-term preference fusion is carried out by introducing a self-attention mechanism and GRU network, and then personalized retrieval recommendation based on user long and short-term preference is realized. Finally, an investigation is carried out to determine the effectiveness of the personalized wisdom information service model through empirical analysis. The results show that the mean value of literature and history in the user portrait category III is 1.553, the change in the borrowing of books in the I major category decreased by 31.94% from 2018 to 2022, and the average satisfaction of users for the personalized recommendation service is 83.52%. This shows that the personalized intelligent information service model of the college library can realize the innovation of library information service and further improve the satisfaction of users for the college libraries.
Diversified Curriculum Innovation for Japanese Language Education in Colleges and Universities under the Deep Learning Model
Authors: Zhou Rui 
Published: December 2023

Abstract
This paper constructs a diversified Japanese language course recommendation model based on the autoencoder network model using deep learning, which includes stack autoencoder, self-attention mechanism encoder, and relevance decoder. A system for evaluating the quality of Japanese language education was constructed using hierarchical analysis. The correlation between the Japanese listening test and the degree of innovation of diversified Japanese language education courses and the influence of the innovation of diversified Japanese language education courses on students’ Japanese language performance were analyzed, respectively. The study showed that the correlation coefficient between the Japanese listening test score and the diversified Japanese language education program was 0.865, and the students who received the diversified Japanese language education program scored 7 points higher than the students who received the traditional Japanese language education program.
The impact of corporate human resource management on corporate structure and image power based on grey correlation analysis
Authors: Tao Xianting 
Published: December 2023

Abstract
This paper uses a gray correlation algorithm to analyze the relationship between enterprise human resource management, enterprise structure, and enterprise image. By determining the sequence of characteristics and the sequence of factors of human resource management, the main factors affecting corporate structure and corporate image are analyzed. The gray correlation axiom and gray correlation degree are used to determine the degree of influence that human resource management has on enterprise structure and image. The gray correlation between the three is calculated by combining the steps of gray correlation calculation and gray correlation analysis. The results show that from the results of correlation coefficient calculation, the correlation coefficient of human resource management on enterprise structure and imagination is high. The correlation coefficient between enterprise structure and leadership level is 0.598, and the correlation coefficient between leadership level and employee turnover rate is 0.541. Human resource management can influence the degree of embodiment of the enterprise to a certain extent, and when the enterprise’s human resource management is perfected, the embodiment of the enterprise’s product image degree is the highest at 0.75, and that of the visual image is 0.7.
Rule of Law Guarantee for Ecological Security of Inner Mongolian Grassland Based on Big Data Analysis
Authors: Wu Rihan , Zhu Lehua 
Published: December 2023

Abstract
This paper carries out an environmental law big data analysis using big data computing based on the legislative framework of biodiversity in Inner Mongolia grassland. For the research and analysis of the rule of law guarantee for the ecological security of the Inner Mongolian grassland, it first establishes the early warning of the ecological security of the Inner Mongolian grassland through the gray prediction model and verifies the accuracy and feasibility of the prediction model precision. According to the early warning results of the ecological security of the Inner Mongolian grassland, it is suggested to enhance the legalization of grassland ecological compensation. The R
2 GM (1, 1) prediction model of Inner Mongolia grassland reaches 0.86, which shows that the prediction accuracy is good. The ecological security evaluation of Inner Mongolia from 2025 to 2035 presents, in terms of type, a safer state region > safer state region > mildly alerted state region > moderately alerted state region > seriously alerted state, and the percentage of each grade increases or decreases. Without distinguishing occupations, 93.3%-98.6% of all herders and grassland managers supported that grassland ecological compensation should be legalized. This shows that the construction of the rule of law guarantee for grassland ecological security in Inner Mongolia is an inevitable trend of development.
Multi-coordinated scheduling application of small and medium-sized source network, load and storage system under blockchain technology
Authors: Xu Yang , Yin Xiaozhe , Jiang Xueping , Liu Yan , Zhou Zheng 
Published: December 2023

Abstract
This paper firstly analyzes the small and medium-sized source-grid-load-storage system and mathematically models the system structure based on the power supply model, the grid model, the load model and the energy storage model. Secondly, based on blockchain technology, the multivariate coordinated scheduling objectives and constraints of small and mediumsized source-grid load-storage systems are modeled through the Cosmos platform, and the model is optimized and solved by the Gray Wolf optimization algorithm. Finally, the impact of multivariate coordinated scheduling on small and medium-sized source-network load storage systems is examined using the parameters of the example and the micro-network design. The results show that compared to the total operating cost before optimization, the total operating cost decreased by 1163.7 yuan. In terms of the peak-valley difference of load electricity consumption, the peak-valley difference before the implementation of the demand response is 0.48, the peak-valley difference of load after the implementation of the demand response is 0.35, and the real-time residual capacity of the energy storage device is always maintained between 60 and 250 kW. The multivariate dispatch model based on this study has a positive impact on small and medium-sized distribution grids with source-grid load-storage systems.
Process Exploration of New Materials for Building Decoration Engineering Based on Multi-Objective Planning Modeling
Authors: Zhang Xiang 
Published: December 2023

Abstract
Firstly, on the basis of the multi-objective planning model, we determine the objective function of building energy consumption, the objective function of material cost and the objective function of uncomfortable time percentage. We propose to use a multi-objective genetic algorithm to obtain the Pareto frontier solution for the decision variables of the model by selecting them. The target constraints are determined based on the construction of the building decoration project, and the model of remodeling material cost-schedule-carbon emission’ is constructed. The discrete simulation model of the decoration project is constructed based on the design parameters of the enclosure structure and air conditioning. Considering the structural rigor of the research and analysis, it is necessary to set and explain the parameters of the simulation model, and the materials of the decoration project are studied and analyzed. The results show that on the engineering case analysis, the value of building energy consumption, building cost and the value of uncomfortable time percentage have increased by 23%-45% compared with the value before optimization. In the simulation model, the optimized construction solution’s carbon emission, cost, and duration were reduced by 6.22%, 10.65%, and 45.48%, respectively, compared to the original solution. This study illustrates the aesthetic performance and functional performance on the basis of the process of new materials, which is a guiding reference value for the application of new materials in architectural decoration engineering.
Financial Management Strategies for Corporate Investments Based on Integer Linear Programming Models
Authors: Zhao Jin , Wang Ying 
Published: December 2023

Abstract
This paper first gives the financial management strategy of enterprise investment, mainly from determining the financial management model of enterprise investment, improving the centralized management level of funds and optimizing the enterprise investment decision-making process in three aspects. Then, build the financial management model based on integer linear programming through the enterprise investment theory to find the effective investment of assets, the use of absolute deviation risk measurement model to reduce the risk of investment so that the maximization of returns and maintain the stability of returns. Lastly, we utilize Enterprise B as the research object for empirical analysis. From the analysis of investment efficiency, the increment of total assets and net profit is increasing; the increment of total assets in 2022 is 58 million more than that of 2015, and the increment of net profit in 2022 is 49 million more than that of 2015. The data shows that the financial management strategy of business investment improves the investment efficiency of the company and enhances the overall operation of the company’s space.
Piano Playing Gesture Recognition Based on Multiple Intelligences Theory
Authors: Zhang Jiahui 
Published: December 2023

Abstract
In this paper, firstly, in order to solve the piano playing recognition problem in the field of artificial intelligence, based on the theory of multiple intelligences, the VGG-16 deep network migration learning algorithm is applied to estimate and acquire the piano playing gesture posture. Secondly, combined with the Iterative Update Extended Kalman Filter (IUEKF) algorithm, the micro-inertial sensor fixation of the piano-playing gesture is realized, which in turn is conducive to improving the piano-playing gesture recognition accuracy. Then, we obtain real-time piano-playing gesture information through a Kinect somatosensory device, construct a piano-playing gesture recognition model based on migration learning on the basis of obtaining piano-playing gesture features, and confirm the effectiveness of the model through the experimental study of piano-playing recognition. The results show that in piano-playing gesture recognition, the recognition accuracy of this paper’s method remains above 0.9, and the application of this paper’s method can effectively improve the recognition accuracy of piano-playing gestures. On piano playing pedal action recognition, this paper’s method shows that the average F-measure scores of these two strategies are 0.924 and 0.944, respectively, which are better compared to other methods. This study provides an effective case for applying AI techniques to piano performance recognition and broadens the scope of AI applications.
A Flipped Classroom Teaching Model of College Mathematics in Colleges and Universities Based on the Background of Deep Learning
Authors: Ding Han 
Published: December 2023

Abstract
Based on the flipped classroom in the context of deep learning, this paper combines the teaching design of university mathematics in colleges and universities with the learning characteristics of college students and designs and builds a flipped classroom teaching model of university mathematics in colleges and universities in the context of deep learning. To analyze the application effect of the university mathematics flipped classroom teaching model in colleges and universities, we first analyze the differences in the deep learning level of college students and propose the evaluation model of the flipped classroom teaching model, evaluate the application of the model and analyze the evaluation results, then analyze the independent learning ability of college students in a pre and post-test, and finally analyze the participation of college students. There are significant differences in the four dimensions of students’ deep learning awareness, learning motivation, learning engagement, and learning strategies, i.e., p<0.05. The final scores of college mathematics in classes A and B are 40.11 and 36.98. It shows that the effect of flipped classroom teaching in college mathematics is better in class A than in class B. The total value of the independent learning ability of the students in this class before and after the practice increased by 6.8468 points. In the flipped classroom, 37.2 % of the students thought that they completed the task poorly, which was related to the content of practicing the flipped classroom. University math teachers should guide students at the right time to improve their ability to divergence and analogical reasoning.