bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of teaching English and American literature based on multimodality under language acquisition theory
Authors: Guan Yanjun 
Published: November 2023

Abstract
First, This paper constructs a multimodal teaching model based on teaching contents, activities, learning environment and learning means and examines measures to illustrate teaching English and American literature under language acquisition theory. Secondly, it uses Fourier transform and discrete cosine transform to preprocess audio signals, extracts emotional features from MFCC according to the bidirectional long and short-term memory network algorithm of attention, proposes to use representational learning and attention mechanism to focus on the detected emotional regions, and analyzes the multimodalized teaching of English and American literature course and the emotion of teaching speech reading in multimodal English and American literature. The results showed that on the multimodalized English and American literature course, the experimental class had mean scores of 21.81, 8.04, 6.71, and 7.08 on each test, respectively, and the experimental class outperformed the control class on all tests of English and American literature instruction. On the analysis of speech reading aloud emotion evaluation, the model assessment score and teacher assessment error were 2.3, the correlation coefficient was 0.6982, and the overall performance of the model of speech reading aloud emotion analysis of English and American literature was relatively reliable. Students' literary emotional literacy is developed through this study, and a multidimensional interpretation of English and American literature is achieved.
The Impact of the Digital Economy on the High-Quality Development of Xi’an’s Manufacturing Industry
Authors: Zhang Ling 
Published: November 2023

Abstract
This paper first explains the research on the digital economy to optimize the resource allocation of the Xi’an high-tech manufacturing industry. Secondly, the evaluation index system for the digital economy and Xi’an manufacturing industry is constructed, and the weight of secondary indexes is determined using the entropy weight method. Then, a mediating effect model is constructed to determine explanatory variables, core explanatory variables, mediating variables and control variables according to the purpose of the study, and the mediating effect and impulse response are analyzed. The results show that, in terms of mediating effect, the level of digital economy development significantly positively impacts transaction size, infrastructure, and digital applications. In terms of the impulse response, when the digital economy variables generate a standard deviation shock, the response value of Xi’an’s high-quality manufacturing development is zero in the current period, reaches the maximum response value in the third period, and this positive effect gradually decreases in the fourth period and beyond but always maintains a positive development trend.
Effect of yoga training on body shape based on principal component analysis approach
Authors: Li Ziyan 
Published: November 2023

Abstract
This paper analyzes the practical strategy and significance of integrating form training in yoga training teaching and constructs an evaluation index system for yoga training teaching based on it. Secondly, a principal component analysis was used to introduce the covariance to calculate the comprehensive score of the indexes. Finally, an empirical analysis was conducted to verify the specific effects of yoga training on body shape. The research revealed that yoga asana teaching and breathing control method introduction were the primary components of yoga training, with factor loadings of 0.845 and 0.623, respectively. Yoga training significantly affected cardiorespiratory function, body fat and circumference, and flexibility, p<0.05. According to the statement, yoga training has the potential to enhance body shape and reduce body fat.
Analysis of the influence of environmental design teaching on students’ aesthetic level based on principal component analysis model
Authors: Wei Zhuo , Xie Ningning 
Published: November 2023

Abstract
This paper first analyzes the development trend of environmental design education from two aspects of environmental design’s diversified beginnings and aesthetic foundation and creates a conceptual idea of environmental design teaching system design. The second step is to construct an environmental design teaching index evaluation system, then pre-process the evaluation data and construct the environmental design teaching evaluation model using principal component analysis. Finally, the principal component analysis is conducted by example to evaluate the index weights and the index evaluation. The structure showed that the aesthetic analysis and aesthetic enhancement ratings were 3.56 and 3.33 before environmental design teaching and 8.1 and 8.6 after environmental design teaching. When taken together, environmental design instruction improves students’ aesthetic level.
The Causes, Connotation and Contemporary Value of Yan’an Spirit under the Construction of Digital Cognitive Mapping
Authors: Zhang Yue , Wang Miao 
Published: November 2023

Abstract
This paper develops a cognitive map of the Yan’an spirit that is based on the performance characteristics of the Yan’an spirit. An entity boundary perception model based on multi-task learning is proposed, and the traditional named entity recognition task is decomposed into entity boundary perception and entity classification, which completes the entity recognition based on MTBA-NER. The entity-oriented relationship extraction is based on the Bi-LSTM network to classify the expression of features, and the softmax function is used to extract the classification results. The political value has always been the value of Yan’an spirit, which has a value of 0.274 today, while the economic value, cultural value and educational value have a value of 0.322, 0.367 and 0.245, respectively. The analysis of the connotation of the Yan’an spirit based on cognitive mapping can help reflect and promote its value in contemporary times.
Evaluation of new media communication effect of Sika deer enterprises based on Random forest model
Authors: Kong Cui 
Published: November 2023

Abstract
This paper applies the random forest algorithm to classify the communication effect of the new media of Meihuahuas enterprise, based on the communication effect setting rules, so that the training samples of the communication effect evaluation are split according to the feature attributes and recursively generated a tree. By introducing cost-sensitive factors, the classification accuracy of effect evaluation is improved. Combining the cost-sensitive random forest algorithm, the communication effect evaluation index of Meihualu Enterprise’s new media is constructed. According to the results, the Meilu enterprise’s overall new media communication effect is excellent. The audience can be guided to consume to a certain extent by it. The score of the influence of the new media communication of Meilu enterprise on the audience’s behavior is 0.646. In evaluating the first-level indicators of the new media communication of Meilu enterprise, the scores of communication power, influence, and credibility are all greater than 0.1, and the scores of the three are 0.1143, 0.1746, and 0.1012, respectively.
Construction of Wu Di Music Culture Education Inheritance Innovation System Based on Clustering Algorithm in the Internet Background
Authors: Wang Lu 
Published: November 2023

Abstract
This paper constructs a blended teaching strategy based on Internet information technology and gives the teaching design of Wu Di music culture education. Behavioral science theory and the K-means clustering algorithm of rough set optimization were used as the guide to construct the behavioral analysis model of students’ learning Wu Di music culture education. The effectiveness of the blended teaching model in the inheritance and innovation of Wu Di music culture education was verified through empirical analysis. The results show that blended teaching can further enhance students’ absorption of Wudi music culture, and the percentage of the experimental class who are very interested in Wudi music culture education is 12.03% higher than that of the control class. The blended teaching mode can enhance students' interest in Wudi music and culture education and contribute to the inheritance and innovation of Wudi music and culture education.
Intelligent VR technology empowers the construction of intelligent learning environment for preschool education of kindergartens with emblematic characteristics
Authors: Cao Yang , Baki Roselan Bin 
Published: November 2023

Abstract
Due to the current kindergarten preschool education being increasingly emphasized, this paper combines intelligent technology to explore, firstly, analyzes the current intelligent learning environment model and designs the intelligent learning environment based on human-computer interaction. Secondly, the emblem elements are integrated into the physical learning environment, combined with intelligent VR technology, gesture interaction recognition based on feature vectors and pose interaction recognition based on vector machines to realize the construction of the smart learning environment. Finally, the interaction performance in the smart learning environment is analyzed based on simulation experiments, and the changes in learning effects are explored. The application yields that young children’s independent ability and social interaction ability increased by 0.5 and 0.48, respectively, and the mathematical thinking ability, artistic creation ability and Hui culture cognitive ability increased by 0.35, 0.39 and 0.32, respectively.
Digitalization of university education management applicable to association rule mining algorithms
Authors: Chen Xiuli 
Published: November 2023

Abstract
In this paper, firstly, based on the digital construction of education management in colleges and universities, it is proposed to construct an education management system for colleges and universities to realize the digital development of education management and to design the function and database of the education management system of colleges and universities. Secondly, the Apriori algorithm in association rule mining algorithm is used to define the minimum support and minimum confidence in the variable parameter focus, then the support threshold and confidence threshold are set in the process of optimization connection and pruning, and for the shortcomings of traditional algorithms, the relevance metrics are cited here to improve the systematic data mining efficiency of the Apriori algorithm. Then, the simulation experiment environment and data set are selected, the evaluation index system is determined according to the system requirements, and the education management system based on the association rule mining algorithm is simulated and analyzed. The results show that when min_supp=70%, the Apriori algorithm generates a total of 60 frequent itemsets, and the running time is about 21.2s. Overall, the Apriori algorithm only reads the data set twice, so the program running time is shorter than the Eclat algorithm running time.
Innovation and Development of Cultural Construction Based on the Characteristics of Social Cognitive Networks in the Sinicization of Marxist Theory
Authors: Long Jie 
Published: November 2023

Abstract
By exploring the characteristics of Marxism’s Chineseization, an innovative path for cultural construction development is proposed. Based on the composition of cultural carriers of Marxist Chineseization, this paper constructs the social cognitive network of Marxist Chineseization. The structural characteristics of the network are studied based on node influence, proximity centrality, etc., thus proposing a scale-free model in the social network and adopting Pearson coefficients to characterize the relevance of the nodes. Accordingly, the process of cultural identity and the evolution of cultural carriers in the Chineseization of Marxism are analyzed, and the characteristics of cultural viewpoints are analyzed. In the construction of institutional culture, the cultural identity increased from 0.44 in 1980 to 0.832 in 2019. In constructing spiritual culture, the cultural identity increased from 0.389 in 1980 to 0.822 in 2019. With the dissemination and localization of Marxist theories in China, cultural identity is a process of zigzagging.
Revitalization and Cultural Innovation of Ethnic Traditional Sports Based on Deep Learning Models
Authors: Wu Wenjie 
Published: November 2023

Abstract
This paper first explores the revitalization of national traditional sports and cultural innovation and identifies the key to the definition of national traditional sports. Secondly, it explores the operation mechanism of sports and cultural co-innovation and proposes pathways for sports and cultural innovation. Then, the relationship between traditional ethnic sports and sports culture innovation was studied using the BERT model in the deep learning model. Finally, a controlled experiment was designed to test the comparison of students’ performance before and after learning about sports culture innovation, and the study showed that the performance was improved by 14.3506 and 13.6275, respectively, and that learning about sports culture innovation was effective in improving students’ deep learning ability. Testing the role of three different algorithms on the revitalization and cultural innovation of national traditional sports, the accuracy of the four indicators of BERT is 0.75, 0.78, 0.88 and 0.98, respectively, which is in the first place, and the accuracy of BERT is higher.
Inheritance of Intangible Cultural Heritage of Korean nationality Sports in Colleges and Universities in the Context of “One Belt, One Road”
Authors: Qi Jianguo , Fan Jun 
Published: November 2023

Abstract
This paper explores ways to preserve the intangible cultural heritage of Korean sports inherited by colleges and universities through digital technology and RBM neurons. The non-heritage information and images collected through the method of data collection and data storage are presented in 3D with the help of a neural network. The protection of intangible cultural heritage is achieved by using data restoration technology to trace the past and break the limitations of time and space. Using artificial intelligence technology, a database of intangible cultural heritage can be built, and different types of intangible cultural heritage can be divided using a neural network. The characteristics of Korean sports culture are summarized by analyzing intangible cultural items related to Korean sports. The results show that the feature extraction method incorporating RBM has the highest extraction rate of strong and healthy in sports, with an extraction rate of 0.8, the extraction rate of mighty features is 0.75, and the extraction rate of strength degree of sports is 0.75. The intangible culture of Korean sports is promoted and developed through this paper’s research to a certain extent.
Traditional music heritage in college piano teaching combined with time series modelling
Authors: Ren Yuxiao , Tong Yuxuan , Rao Shuxuan 
Published: November 2023

Abstract
This paper uses the ARIMA model in time series and the BLSTM sentiment classification algorithm in sentiment analysis to predict the elements and the direction of traditional music heritage. Differential processing of non-smooth series data stabilizes the time series data of traditional music inheritance. By extracting all the features contained in the sheet music, the interpreted sheet music is subjected to sentiment analysis to further analyze the inheritable elements of traditional music. The results show that the time series model has high accuracy in predicting the inheritable elements of traditional music, the MAPE value of the ARIMA model is 5.9658308, and the melody, as well as the structure of traditional music, can be integrated into piano teaching in colleges and universities to a certain extent, with the integration degree of the melody being 0.72 and the integration degree of the structure is 0.655.
Utterance variation and its stylistic features in Japanese language education using the dominant relevance approach
Authors: Zhang Yan 
Published: November 2023

Abstract
In this paper, based on the analysis of onomatopoeia in the Japanese language, based on the constructional and grammatical features of the Japanese language, combined with the teaching methods and characteristics of listening, reading and writing in the Japanese language, we utilize the dominant correlation degree method for the characterization of utterance change and its stylistic features. For semantic association, the local dominant association algorithm is employed. The logistic regression algorithm is used to train the two-layer classification model, and logistic regression, plain Bayes and support vector machine are chosen as the analysis and comparison algorithms to judge and analyze the semantics of utterances in Japanese language education. The two-layer classification model was examined to examine the impact of each index, and the word length of written and spoken language was scrutinized for learners and native speakers. The accuracy of each reached more than 99.8%, and the difference was controlled at 0.001. The size order of the word type coverage was Lo>Ns>Lw>Nx>Nr.
Prospects for the Application of Data Analysis Methods in the Evaluation of English Teaching in Colleges and Universities
Authors: Xu Hui 
Published: November 2023

Abstract
This paper studies the specific application of association rule analysis in teaching evaluation in colleges and universities and analyzes the existing cases of the Apriori algorithm applied to college management under association rules. Aiming at the performance bottleneck of the Apriori algorithm in dealing with complex databases, the AMC algorithm based on matrix compression is proposed, and the data storage form is optimized through transaction matrix mapping. The improved AMC algorithm is applied to correlation analysis of English teaching evaluation data in colleges and universities, focusing on the correlation relationship between teaching characteristics, teaching-related factors, and evaluation grades based on confidence level. A confidence level of 69% will be achieved when the teaching effect is good, and the evaluation grade reaches basic satisfaction. A confidence level of 71% can be achieved when the teaching management is excellent and the evaluation grade is satisfactory.
A Systematic Generalisation of Chord Configuration Methods in Harmonic Writing Based on a Big Data Context
Authors: Yang Juan 
Published: November 2023

Abstract
In this paper, we systematically summarize the chord configuration method in harmonic writing, start from the connection principle of functional harmony, and use the knowledge of harmonic theory to research and explain the harmonic variability writing and chord configuration method. Secondly, based on big data algorithms, it is proposed that according to the chord composition law and progression logic, a chord system construction objective function is proposed, and a dynamic planning algorithm for automatic chord arrangement is designed to realize automatic chord arrangement by machine. Then, after reducing the chord repetition rate of the generated music, it was found that the ideal style type of music could not be achieved. For this problem, a hidden Markov-based chord auto-configuration model is proposed for optimization and experimental analysis of the chord configuration method in harmonic writing is carried out. The results show that the emotional response of the major triad music fragment with an octave decrease in overall pitch is a positive emotion, and the intensity of the emotion is significantly reduced compared to the major triad with no pitch change. The emotional response to the music fragment of the major triad with an octave increase in overall pitch was positive, and the emotional intensity of the major triad with no pitch change was significantly increased. This study improved students’ musical aesthetics, cognitive abilities, and experiences.
Exploring the influence of ideological and political education on the formation of legal theory by combining set-pair game models
Authors: Yang Aiai , Qi Huanyi 
Published: November 2023

Abstract
This paper first discusses the system and specific tasks of the theory of jurisprudence and analyzes the integration and development of ideological and political education with the theory of jurisprudence. Secondly, it constructed the evaluation indexes of the formation quality of jurisprudence theory, determined the subjective weights of the indexes by using the method of sequential relationship analysis, determined the objective weights by the entropy value method, and made the combination of weights by the game theory. Using the set-pair method, I analyzed the optimization indicators and constructed a set-pair analysis model based on game theory. Finally, an evaluation analysis was conducted to verify the validity of the model and the influence of ideological and political education on the formation of legal theory. The results show that based on ideological and political theory can effectively improve the quality of jurisprudential theory formation, which makes the formation of jurisprudential theory more in line with the reality of social development and can further solve social development problems. The index of jurisprudence ideology has a comprehensive linkage degree of 0.839, and the evaluation grade is excellent. The expansion of jurisprudential thought can be promoted by ideological and political education, which in turn positively impacts the formation of jurisprudential theory.
The Oleander Bush at Delphi, The Minotaur in the Bullring
Authors: Polgár Anikó 
Published: November 2023

Abstract
This study treats literature as a reflection of cultural memory and explores how literature mediates between mythical and cultural relations to the natural world. The paper aims to promote interdisciplinary dialogue between cultural memory, ecocriticism, and literary studies and draws on foundational texts from these disciplines and previous research that seeks to link them as a theoretical basis. By analysing the works of Gábor Devecseri, chosen as representative examples, the paper demonstrates how literature reveals the return to the deep layers of cultural memory represented in myths and the defects of the relationship between humans and nature, and how it thus contributes to the understanding of a complex (and interdisciplinary) process.