bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Historical Evolution of Marxist Ideas on Civic Education Based on the Cognitive Mapping Construct
Authors: Liu Lu 
Published: October 2023

Abstract
In today’s rapidly changing society, exploring the historical evolution of Marxist ideology in Civic Education can provide a more comprehensive understanding of the subject. In this paper, oriented to Civic Education, we use crawlers and other related technologies to obtain a Civic Text Corpus and complete the acquisition of Civic entities based on the BiLSTMCRF model for its annotation and collection. The acquired entities are divided into unstructured and semi-structured data, and the former is used to extract the relational triad by crawling technology, while the latter is obtained with the help of dependency syntactic analysis. Based on the analysis of the constructed cognitive map of Civic Education, the word “construction” in Marxist Civic Education in the 21st century has the highest degree of enthusiasm, reaching 0.191, followed by “student”, with a degree of enthusiasm of 0.150.
Research and application of intelligent information processing system in power hierarchical control
Authors: Yang Guang , Gu Hong 
Published: October 2023

Abstract
In this paper, we propose a distributed secondary FM control method for microgrids to address the problem that the operating cost of microgrids increases significantly under load dropout and use the consistency algorithm to make the system reasonably distribute the load power to re-achieve the stable state. In the actual microgrid, the communication delay discusses the influence of information transmission and system stability. Simulation experiments are used to verify and set different convergence coefficients to obtain a suitable range of convergence coefficients. Then, the microgrid economic power allocation algorithm was used to describe the operating cost of microsources and limit the generator output power of the microgrid system to obtain the microgrid economic power allocation values. The cost amount of MG1 is $1327.3 in the equal micro-increase rate consistency calculation. The control condition test reduced 73.14 kWh in the overall load outage of intelligent microgrid control. The power system’s efficiency can be improved through a control method using intelligent information processing.
Innovative development of music education model in universities under stochastic process model analysis
Authors: Wang Xiaoning , Zhang Dajun 
Published: October 2023

Abstract
Based on the analysis of random phenomena, random variables, and random processes, this paper constructs a Markov chain-based model for evaluating the effectiveness of music teaching using Markov chains. Aiming at the core literacy of college music education, a new education model is proposed to cultivate students’ comprehensive music literacy and transform the method of college music education. Traditional evaluation methods and the Markov chain model are used to analyze data examples for the new model of music education. The probability of transferring the number of students whose first score was on the 89.9-80 scale to the 100-90 scale was 0.5115, greater than the probability value of 0.3650 for those still on the 89.9-80 scale. The transfer matrix of the experimental class was shifted to the left as a whole, indicating a high degree of student progress.
Research on the application of virtual reality technology for interactive experience in interior design
Authors: Zhang Ying 
Published: October 2023

Abstract
First, This paper quantifies and ranks each constituent element using two methods of interior interaction design: extraction and weight determination. Secondly, the interaction experience mechanism of the scene space is proposed based on the user’s interaction behavior and feedback in the virtual reality interaction mechanism of Bayes’ theorem. The positioning of the virtual scene and the transformation of the user’s perspective in virtual reality are achieved through human spatial location mapping and the field-of-view range approach. The results show that in the virtual environment, the mean satisfaction value for the designer’s top view presentation is 5.876, the mean usability value is 22.52, the mean satisfaction value for the first view presentation is 4.929, and the mean usability value is 19.50. This paper provides new ideas and methods for the application of virtual reality technology in the field of interior design by providing a variety of interaction methods and immersive experiences for interior designers.
Analysis of the adaptability of constructing a system for helping poor students in colleges and universities in the context of big data
Authors: Xu Gaochao , Hui Jie 
Published: October 2023

Abstract
This paper first analyzes the procedure process and needs of identifying poor students in colleges and universities and constructs a working system to help them. Secondly, it analyzes the evaluation process of the comprehensive system for assisting poor students and constructs an evaluation index system for their aid work. Then, the fuzzy comprehensive evaluation was established to comprehensively evaluate the work of poor students’ aid, and the results were tested using the EDA model. Finally, the quantitative analysis of index weights and satisfaction was conducted with the example of H University. The results showed that, from the index weights, the index weight of the identification of poor students was the largest, 0.3294, and the weights of the construction of rules and regulations and work effectiveness were the smallest, 0.0838 and 0.0178, respectively.
Construction of a digital economy accounting system based on statistical analysis methods
Authors: Wang Canxiong 
Published: October 2023

Abstract
For a long time, the economic field has not been able to establish a more unified accounting standard for the digital economy. In this paper, the concept of an input-output table is introduced for the digital economy, and an input-output model for the digital economy is established based on three different types of equilibrium relationships with three types of input-output correlation coefficients. With the help of the demand-side statistical model based on the direct consumption coefficient and the supply-side statistical model based on the direct distribution coefficient, and through the determination of the conversion coefficient matrix, the construction of the accounting system of the digital economy is completed. Based on the statistical analysis method, the added value of “digital industrialization” reached 4,922.23 billion yuan in 2018, and the added value of “industrial digitization” was 5,076.04 billion yuan, and the total added value of digital economy reached 9,998.27 billion yuan in 2018. The digital economy’s total value added in 2018 amounted to 9,998.27 billion yuan, roughly 15 times the value added by the digital economy in 2005.
Analysis of ice and snow tourism service quality improvement strategy based on grey correlation model in the perspective of sharing economy
Authors: Xu Changgui 
Published: October 2023

Abstract
The evaluation model and index system of ice and snow tourism service quality are derived from this paper’s perceived evaluation of ice and snow tourism service quality. The TOPSIS ideal solution ranking method is improved using the entropy power method, and the entropy-TOPSIS-grey correlation model is jointly constructed to evaluate the ice and snow tourism service quality by introducing the grey correlation model. To verify the validity of the evaluation model, a quantitative analysis of the data was conducted through examples. The results show that the perception evaluation scores of transportation, tour, catering, shopping, accommodation and service are around 4, and the comprehensive posting progress of transportation, tour and catering are 0.623, 0.584 and 0.557, respectively. Thus, it indicates that the service quality of ice and snow tourism needs to be improved in various aspects, such as transportation, tours, and catering.
High-resolution art recognition of modern packaging design and images based on texture image classification
Authors: Shi Jun 
Published: October 2023

Abstract
First, this paper proposes the EPNN algorithm to recognize the high-resolution art of texture images. Then, a multi-scale multivariate image analysis method for color-textured surface classification is established. Regarding probabilistic neural networks, a differential evolutionary algorithm is proposed to optimize the smoothing parameters of basic probabilistic neural networks. Texture feature extraction involves extracting energy and statistical features of texture images using tree-structured wavelet packet decomposition and statistical-based methods. The image classification is performed by estimating similarity distances and classifying typical feature clusters. The results show that in terms of recognition ability, the proposed EPNN in this paper achieves an average improvement of 0.216 in CCP compared to the LBP method. In terms of classification ability, the proposed multi-scale multivariate image analysis color texture surface classification method in this paper generally achieves more than 10% higher classification ability than LGP in CUReT and Outex texture image libraries.
Studying the role of English and American literature in the dissemination of digital health concepts
Authors: Niu Xiaohong 
Published: October 2023

Abstract
This paper first analyzes the implementation of digital health education in English and American literature descriptively, based on the principles and characteristics of language art in English and American literature. Then, based on the word vector model, the CBOW model and Glove model are proposed for assigning weights to words with different occurrence frequencies, followed by linear splicing of word vectors and their additional feature vectors in sentences into final word vectors fed into the semantic analysis model, thus eliminating the phenomenon of illegal labels being predicted, improving the accuracy of semantic analysis prediction, and empirically analyzing English and American literary works under the concept of digital health analysis. The results showed that on digital health, the mean value of students’ evaluation of their mental health status in class 4 increased from 2.88 in the pre-test to 3.48 in the post-test, and the overall evaluation scores of mental health status were on an upward trend. For the model performance analysis, AvgPool’s summation and averaging of all features in the pooling domain can retain more linguistic information and reduce the training parameters to improve the model performance further. This study explores the concept of digital health in English and American literature to improve one’s cultural literacy.
Path analysis of financial assistance to business development by applying coupled coordination degree model
Authors: Lin Xin , Chen Gaoxiang 
Published: October 2023

Abstract
The interaction between financial assistance and enterprise development is examined in this paper by constructing a coupled coordination degree model. The weights of the secondary indicators in the financial assistance and enterprise development system are calculated using the entropy weighting method. By calculating the coupling degree between financial assistance and enterprise development, we can judge the strength of the coupling effect between them and the time interval. The financial system and enterprise development evaluation indexes were constructed to explore the factors affecting financial assistance for enterprise development. Under certain conditions, financial support and enterprise development can positively affect each other, as shown in the results. The development support weights in the financial support system are 0.1979 and 0.2231, and the total weight is 0.421. The enterprise development system has a technical weight of 0.5806 for technological innovation.
The Effect Analysis of the Application of CAI to Japanese Oral Teaching in Colleges
Authors: Tian Xiaofeng 
Published: October 2023

Abstract
In this paper, we first analyze the requirements for teaching spoken Japanese in colleges and universities, design a computer-assisted teaching system using C/S and three-layer hybrid architecture, and create a business flow diagram of the system. The second step is to conduct a technical analysis of the computer-assisted teaching system, and Bayesian theory is employed to model the complex system with multi-factor synergy. The effect of the computer-assisted system on Japanese-speaking teaching courses in colleges and universities was analyzed. The results indicated that the students dictated 4,500 words, while the lowest dictated as little as 300 words, but overall, they were more balanced. The prompt word ratio was directly proportional to the number of repetitions by observing the number of single dictations of students.
A study on the improvement of student education management in universities based on depth-constrained Boltzmann machine
Authors: Chen Ting 
Published: October 2023

Abstract
In this paper, a student education management platform is constructed using ASP.NET development technology. Secondly, a fast CD method is used to update the main parameters of RBM, and multiple restricted Boltzmann machines are used to jointly form a depth-constrained Boltzmann machine for the personalized recommendation of educational management methods. Finally, a performance test analysis was conducted to verify the platform’s effectiveness presented in this paper. The results show that when the number of concurrent users is 600, the maximum response times of student management, faculty management and education management functions are 2.79s, 2.95s and 2.81s, respectively, and the CPU occupancy rate is less than 20%. The education management platform with good performance can help improve and innovate student education management.
Research on the path of improving traditional culture literacy of college students based on fuzzy C-mean clustering algorithm
Authors: Yang Jianxiao , Qiao Jia , Zhang Keke 
Published: October 2023

Abstract
This paper focuses on the feasible path to enhance the traditional cultural literacy of college students and analyzes the role of teachers’ teaching ability to enhance students’ cultural literacy in college cultural literacy education. Based on the enhancement of college students’ cultural literacy ideologically, morally, behaviorally and psychologically by college cultural literacy education, the primary evaluation indexes of teachers’ teaching ability are set, including basic ability, teaching method, teaching content, teaching attitude and teaching effect. Using the fuzzy C-mean clustering algorithm, we preprocess the teachers’ basic information data, select the evaluation indexes for teachers’ teaching, and complete the clustering optimization. According to the FCM clustering results, teachers’ teaching was classified into three categories, among which the first category T
1 = 0.885, T
3 = 0.923, T
4 = 0.742, indicating that teachers in this category should adjust their working status to achieve the optimal teaching effect and effectively improve students’ cultural literacy.
Evaluation and improvement of online teaching effectiveness of civil law in the context of data analysis
Authors: He Yuhua 
Published: October 2023

Abstract
In this paper, we filtered fused and integrated online teaching learning behavior data by collecting basic information of teachers’ and student performance information, generated comprehensive assessment, and established a model of students’ online learning process. Finally, an assessment scheme was developed and tested using the online teaching of civil law courses as a case study, and the total learning efficiency was evaluated. The results showed that the proposed scheme in this paper is reliable and reasonable for assessing the teaching effectiveness of online education. The research results of this paper provide new ideas and methods for assessing the effectiveness of online teaching in civil law, which can help teachers better understand students’ learning behaviors and learning effects and improve their teaching strategies promptly.
Information-based theory of psychological education and the penetration of college Civics courses in student teaching
Authors: Liu Guijuan 
Published: October 2023

Abstract
This paper first elaborates on the relationship between psychological education and Civics courses and proposes a three-dimensional evaluation system to comprehend the teaching invention of psychological education and Civics classrooms in colleges. Then, based on information theory, the quantitative evaluation model of psychological education and Civics course effectiveness based on a cluster analysis algorithm is proposed. The data of indicators with high correlation are fused according to the cluster analysis algorithm, and the categories of evaluation indicators of sub-series are divided by the essential factors after clustering, while the automatic evaluation model is constructed by using the factor score coefficients under different categories to realize the evaluation of psychological education and Civics course, followed by an application analysis of psychological education and Civics based on information theory. The findings demonstrated that accuracy was higher when conducting course evaluation in the automated assessment model of psychological education and civics according to the cluster analysis algorithm, and time consumption was lower. Legal expertise, moral character, political behavior, view on life, values, and patriotism had substantial negative correlations with sadness and anxiety and significant positive correlations with subjective well-being in the correlation study.
Learning curve improvement model for sportswear comfort and sports functionality analysis
Authors: Wang Shanshan , Liu Jiaqi , Fan Li , Zhang Hua 
Published: October 2023

Abstract
In this paper, a performance optimization model for sportswear based on the learning curve effect is proposed on the learning curve base model, which is a systematic method for improving and optimizing sportswear’s comfort performance and sports functionality compared with the traditional model. Laplace’s law measurement method is used to predict the garment comfort pressure in terms of comfort measurement. The finite element method was used to analyze the sports apparel’s functionality. The results show that the most obvious deformation under the pressure of sportswear occurs in the middle section of the inner thigh, with a maximum value of 1.786E-002mm and a mean square error of 3.0875×10−14 .The research findings of this paper can serve as a reference for sportswear designers and manufacturers and encourage the development and innovation of the sportswear industry.
Development of ideological and political education course field dimensions based on multi-data chain network
Authors: Li Wei 
Published: October 2023

Abstract
This paper firstly classifies the ideological and political education course field dimensions, studies the specific composition of the learning field in three dimensions: information, technology and emotion, and discusses the necessity of learning field optimization in secondary school Civics class. Secondly, on the multivariate data chain network, the MIFS model is proposed to extract the ideological and political teaching feature values, followed by the LSTM neural network to train the information related to students’ Civics classroom contents and the average function of adaptive excitation function is used to replace the excitation function in the LSTM neural network to achieve the effect of improving the output accuracy. Then, the characteristics of learners and learning resources are parametrically represented, followed by an experimental analysis of ideological and political education based on multivariate data chain networks using evaluation indexes based on the data set. The results show that there is no difference between the MAE values of CNN and LSTM except for sample one, but the MSE values of LSTM are both lower than CNN, and LSTM is more stable than CNN, indicating that it is reasonable to choose LSTM when ideological and political education based on multivariate data chain network. This study provides a reference and reference for future field optimization in ideology and political science classes.
Research on the construction and optimization of the teaching model of kindergarten environment creation practice based on virtual simulation technology
Authors: Yu Rong , Zhang Dan , Hu Zhijin 
Published: October 2023

Abstract
Virtual simulation technology is used to construct a teaching model for kindergarten ring creation based on this paper. Virtual simulation technology uses the classical K-Means clustering algorithm to confirm information on kindergarten teaching resources. Using a particle swarm optimization algorithm, weights are calculated for kindergarten and preschool education resource categories to determine the similarity of usage frequency. To improve the efficiency of preschool education resources scheduling, to verify the feasibility of the teaching model, the results show that the mean value of student-teacher interaction with virtual simulation technology is 2.180, and the highest mean value of student-teacher interaction is 2.220. It proves that the teaching model constructed using virtual reality technology can effectively improve the quality of teaching conducted in early childhood circumvention practices.
Southern Canyons Pathways UNESCO Global Geoparks: Strategies for Sustainable Development
Authors: Dos Santos Anna Lethicia , Bandeira Dione da Rocha , Carelli Mariluci Neis , Campos Juliano Bitencourt , Da Silva José Gustavo Santos , Miziescki Mikael 
Published: October 2023

Objective: This article aims to understand the process of setting up the GMCCS and its prospects for the sustainable development of the communities living in the territory. The following research questions are posed: a) How did the prospecting of UGGps take place in the LAC region? b) How did the process of recognition and approval of the GMCCS take place? c) How has the GMCCS contributed to the sustainable socio-economic development of the towns that make up the territory?

Method: In order to achieve the above objectives, the state-of-the-art methodology was used, together with bibliographic and documentary research, to understand the conception of the idea of geoparks in the international context and their dissemination around the world.

Results and conclusion: As a result, it was found that the territories that have been recognized, including the GMCCS, have proved to be effective and sensitive tools for the socio-economic development of their respective communities, although the prospecting of geoparks in LAC is still happening slowly and gradually.

Research implications: UGGps (UNESCO Global Geoparks) aim to promote the sustainable development of local communities. The GGN (Global Geoparks Network) currently has 177 accredited territories around the world, ten of which are in the LAC (Latin America and the Caribbean) region. The research shows that the territory of the UNESCO World Geopark Caminhos dos Cânions Sul is moving towards promoting sustainable development in its territory.