bluuebunny/crossref_metadata_2025_split huggingface dataset:
An AI-enhanced teaching model using a novel deep learning approach
Authors: Meng Pan 
Published: August 2024

Abstract
Today’s strategy of vigorously promoting the modernization of education creates conditions for wisdom teaching and promotes the deep application of artificial intelligence technology in education. In this paper, we construct a deep learning smart teaching model that is enhanced by artificial intelligence based on the occurrence mechanism of deep learning and the theory and method of smart teaching. Furthermore, the structural equation modeling method is utilized to conduct further empirical research on the model based on the theoretical model. Among the seven hypothesized paths of the MPERT teaching model, five hypothesized C.R. values were greater than 1.96, and the P-values were all less than 0.05, indicating that the influence relationships among the variables of the hypothesis were statistically significant. It has been verified that the teaching model can effectively promote the occurrence of deep learning, especially in the enhancement of higher-order competencies such as problem creation, situation creation, and value thinking. The M-PERT teaching model constructed in this study and the practice cases designed based on the model can provide theoretical and practical references for teachers to effectively carry out smart classroom teaching and promote students’ deep learning.
Optimization of Machine Learning-based Value Assessment Model in High Value Patent Cultivation in Universities
Authors: Wei Yihang 
Published: August 2024

Abstract
This paper constructs a patent value assessment model for colleges and universities from two perspectives of: value identification and price prediction. Firstly, 10 indicators are selected from 3 dimensions of technology, economy, and law. Then it combines the artificial way of entropy weight TOPSIS model and the machine learning way of gradient boosting tree to realize the identification of the value of university patents and the grading of the economic value of university patents. After analyzing, it can be seen that after pre-processing the data, 10 feature items related to patent value and useful for evaluation are screened out, and the highest weights of the number of homologous patents and the number of citations indicators are 0.1826 and 0.1274, respectively, which have the greatest influence on the economic value of high-value patents of colleges and universities. In the range of 4901-7071 of high-value patents, the assessment results fluctuated in the range of 1.3754-2.8395. The value of invention patents with a gradient range of 1-1400 as well as 6301-7071 fluctuates more dramatically. This paper proposes a patent value assessment model for universities that has a superior assessment and classification effect on high-value patents in universities.
The Application and Innovation of Data Mining Technology in College English Speaking Teaching
Authors: Xia Chunmei 
Published: August 2024

Abstract
College English speaking, as an important part of English teaching, is getting more and more attention from many scholars. Data mining technology has brought new opportunities for teaching spoken English in universities. The article builds a portrait and analyzes students through the data generated in the process of teaching spoken English at university in order to understand their relevant attributes and learning habits. Then, the decision tree model is used to predict several scenarios of students’ oral English performance. Finally, 2 classes of a university majoring in English were selected as the empirical research subjects to be tested. In the analysis of the changes in the oral English scores, the mean score of the pre-test of the control class was 21.43. The mean score of the pre-test of the experimental class was 21.29, which led to a small difference in the mean scores of the pre-tests of the two classes. In contrast, after the experiment, the mean score of the post-test of the control class was 27.51, and the mean score of the post-test of the experimental class was 30.85. The experimental class’s mean score increased by 3.34 points, and the overall English-speaking performance saw a more significant improvement.
Research on Pattern Recognition Technology for Music Teaching and Optimization of Its Teaching Framework
Authors: Yin Na , Li Weiting 
Published: August 2024

Abstract
This paper proposes music rhythm perception technology and music automatic classification technology, respectively, which are pattern recognition technologies for music teaching. The short-time Fourier transform is used to analyze the audio information, transform the acoustic spectrogram into a Mel spectrogram, build the convolutional neural network architecture, and process the spectrogram sequentially to realize the automatic classification of music. The music signal is preprocessed to remove noise using normalization, and a new histogram-based method is proposed to detect music rhythms by analyzing and modeling the music beat sequence. This paper uses S High School in Qujing City, Yunnan Province, China, as the research site to implement pattern recognition technology in teaching practice. The experimental class’s music scores increased from 50.18 before the experiment to 64.52, which was higher than the control class’s, with a 28.58% increase. The experimental class’s mean values in the sentence and paragraph dimensions of music rhythmic sense, the mean values of the experimental class were 0.73 and 0.65 higher than those of the control class, showing significant differences (P<0.05). All dimensions of music core literacy, except opera knowledge and general knowledge of musical instruments, also showed significant differences (P<0.05).
Exploring the Quantitative Analysis Model of the Effectiveness of Interactive Teaching of English in Colleges and Universities
Authors: Zhang Li , Li Li , Ma Yanli , Wang Luyao 
Published: August 2024

Abstract
The lack of an effective evaluation system for the process and effect of interactive teaching of English in colleges and universities has resulted in a disconnect between the status quo of English teaching in many colleges and universities and the effect of teaching, so it is of great significance to know how to put forward a quantitative analytical model to promote the effect of interactive teaching of English in colleges and universities. The article takes University A as the research object, constructs the evaluation index system of the interactive teaching effect of English in colleges and universities, and adopts the fuzzy hierarchical analysis method to evaluate the interactive teaching effect of English in colleges and universities. Finally, the qualitative comparative analysis method is used to further explore the specific factors that affect the interactive teaching effect of English in colleges and universities. The total affiliation vector B=(0.06,0.07,0.04,0.02), combined with the teaching quality evaluation grade classification standard, determines that the English classroom interactive teaching effect grade is good. The conditional grouping patterns of high-level problem solving can be derived into four groups, namely, gender-balanced type fueled by collaborative relationships, gender-balanced type fueled by teaching interventions, heterogeneous type within the group dominated by teaching interventions, and close relationship type dominated by teaching interventions.
A Quantitative Relationship Analysis of Language Patterns and Cultural Identity in Southeast Asian Chinese Literature
Authors: Hu Dongzhi 
Published: August 2024

Abstract
As an important part of overseas Chinese literature, Southeast Asian Chinese literature has entered the research field of mainland scholars since the 1980s with the deepening of economic, trade, and cultural exchanges between mainland China and Southeast Asian countries. In this paper, we use the linguistic characteristics of Southeast Asian Chinese literature as the research landing point, establish the mathematical model of regression analysis, and transform the coordinate system to simplify the derivation formula. The slope is used to determine the macro change direction of the regression curve, and the slope formula is further derived to get the expression for judging the micro change trend of the curve, which completes the construction of the mathematical model of language pattern and cultural identity law. Based on the knowledge graph visualization and analysis tool CiteSpase, the data of language patterns and cultural identity samples were processed and analyzed in terms of the number of publications, author groups, research institutions, and publishing journals. 2016 was the year with the highest number of publications, and the number of publications in this year was 55. “Malay-Chinese literature” ranked first among the high-frequency keywords, with a word frequency and centrality of 173 and 0.82, respectively. The correlation coefficient between Southeast Asian Chinese’s attitude towards Chinese language and Chinese cultural identity (Spearman’s rho=865, p<0.01) shows a positive relationship.
Game Analysis on the Evolution of Elderly Service Regulation in the Context of Aging Society
Authors: Wang Wei , Li Tongbin , Yan Yu 
Published: August 2024

Abstract
In the contemporary era of increasing population aging, improving the service quality of senior care institutions and optimizing the regulatory behavior of multiple subjects has become a hot topic in society nowadays. Based on the welfare plurality theory and Li Yapunov theory, this paper analyzes the behavior of the government, senior care institutions, and the elderly in the regulation of senior care institutions, establishes a game model for the regulation of senior care institutions, and analyzes the mutual influence of the behavior of the multiple subjects in the regulation of senior care institutions by using the evolutionary game method. The results show that the service quality of senior care institutions is affected by many aspects, and with time, the rate at which senior care institutions, the government and the elderly converge to the equilibrium strategy becomes smaller and smaller, and the system will eventually reach a stable state at (1,1,1) (i.e., active government supervision, self-regulation of senior care institutions, and supervision of the elderly), and the government has a certain role in leading the optimization of senior care institutions’ supervision behaviors. This study has practical value for improving the quality of services offered by senior care institutions, meeting the senior care needs of elderly individuals, and enhancing collaborative governance among multiple stakeholders.
Internet+ Teaching Model of Community-Based Elderly Education in the Context of Smart Cities
Authors: Tang Zhengyou 
Published: August 2024

Abstract
The rapid emergence of Internet+, artificial intelligence, virtual reality, and other innovative technologies has led to the gradual penetration of online learning into traditional teaching, and face-to-face teaching and online teaching have moved towards deep integration. This paper explores the Internet+ teaching mode of online and offline integration of community-based senior education in the context of a smart city and designs a personalized learning platform for community-based geriatric education. Subsequently, a learning path recommendation model based on two-dimensional features of learners and learning resources is constructed, and then the SASBPSO algorithm is used to realize model optimization and improve the online learning effect of community-based senior education, and the effect of the model application is analyzed. The SASBPSO algorithm is more reliable than other algorithms when solving optimal solutions and converges at less than 0.1, which is significantly superior to other algorithms in terms of convergence. The time used by elderly learners under the use of this paper method is significantly shorter than the traditional method, and the average learning time gap is smaller. The difference between the average scores of the pre-test and post-test of the two groups is −16.247 and −8.146, and the significance value of the difference is 0.003 and 0.016, respectively, 0.003<0.016<0.05, indicating that the learning effect based on personalized learning path recommendation is significantly higher than that of the traditional learning method. This paper provides feasible design ideas for the Internet+ teaching mode of community-based geriatric education.
Augmented Reality Applications of Spanish Folk Music Elements in 7 Spanish Ballads and Don Quixote to the Intended Lovers
Authors: Su Xin 
Published: August 2024

Abstract
Spanish folk music is characterized primarily by folk song tunes, dance rhythms, and folk instrumental music. This paper combines the understanding of the artistic expression of “7 Spanish Folk Songs” and “Don Quixote to the Intended One” music works, proposes to start the sound envelope computation to perceive the music beat, and utilizes the dynamic planning algorithm for real-time tracking. Combined with the three-dimensional model of stereo-visual rendering, an interactive module for presenting Spanish folk music has been established. The selected dataset, the dynamic programming algorithm of this paper, and other algorithms are used to compare the results of music beat recognition. Design the questionnaire of instinctive layer emotional experience and behavioral layer emotional experience, analyze and process the research data, and compare the advantages and disadvantages of the traditional music presentation with the music embodiment of the augmented reality group. This paper proposes a music beat recognition algorithm that has the advantage of real-time detection. In terms of automatic music emotional experience, the mean values of instinctive layer emotional experience for the traditional group and augmented reality group are 5.22 points and 6.125 points, respectively. By combining reality and information interaction, the augmented reality group is more adept at conveying the flavors and art of Spanish national music.
Research on the Visual Effect of Contemporary Northeast Red Cultural Elements in Digital Animation Creation
Authors: Feng Shiqi 
Published: August 2024

Abstract
This paper analyzes the value and characteristics of the red cultural elements of the Northeast, as well as the characteristics of the integration of the red culture of the Northeast and the creation of animation, and discusses the application of the red cultural elements of the Northeast in the animation transmission. Northeast Red Digital Animation began to do the preliminary preparatory work. The preparatory work includes determining the main content of the animation and according to the main content of the narration and text script creation, the production of the activity storyboards, and the design work of the information elements needed in the video. The subdivision modeling method in Maya software is used to construct the animation scene. Path planning is a very important link in the production of group behavior animation, by changing to the artificial fish school algorithm to optimize the animation path. The path data obtained is imported into the Maya scene. Then the final digital animation results can be obtained with the help of the animation generation method provided by Maya. Setting the model parameters and research objects, the animation creation for integrating the red culture of Northeast China is researched and analyzed. For the optimal time, this paper’s algorithm runs for 20.9109s less than the time used by the GA algorithm. The mean value of the visual effect of the animation integrating the red culture of the Northeast is 3.47, which indicates that the designed animation brings the user a more satisfactory visual experience, and it is necessary to let the audience understand the spirit and sentiment behind the red culture in order to effectively improve the visual effect of the animation integrating the red culture of the Northeast.
Research on Innovative Mechanical Structure Design in Carbon Fiber Ingot Winding Technology
Authors: Gao Qiliang , Wang Wei , Lou Kefeng 
Published: August 2024

Abstract
Carbon fiber ingot winding, the final step in the production of carbon fiber, is a crucial process that directly influences the quality of the final product, ensuring the quality of carbon fiber and facilitating smooth processing in the subsequent process. This paper describes the principle of carbon fiber ingot winding, summarises the difficulties of winding carbon fiber ingots, and designs a winding machine that can wind different specifications of carbon fiber ingots. It figures out the folding curve and spiral rise angle in the winding movement of carbon fiber spindles using theoretical knowledge of physical kinematics. It then builds an experimental test platform, prepares the experimental samples, and, based on the needs of the experiment, analyses the process of carbon fiber spindle winding technology. The results demonstrate that the error value between the measurement on the experimental platform and the actual manual measurement remains within 0.01 g, the carbon fiber spindle becomes compact at a tension setting scale value of 5, and the winding end surface remains flat. Furthermore, we find that a larger spiral angle, ranging from 51.7° to 208.5°, enhances the winding’s overlapping effect. The innovative mechanical structure design scheme proposed in this paper has been proven to be effective in process simulation.
Study on the Historical Evolutionary Path of Chinese Ceramic Technology Based on Data Mining
Authors: Han Guangda , Jiang Na 
Published: August 2024

Abstract
Ancient Chinese porcelain occupies an important position in Chinese cultural relics, and the development process of ceramics in various periods has played a great role in promoting the development of society. To explore the historical evolution path of Chinese ceramic technology, this paper proposes a data mining approach. The first step is to list the data mining tools, and then a distributed data crawler is deployed to crawl textual information related to Chinese ceramics in the Cultural Collection by defining keywords related to Chinese porcelain. Then, the incomplete data duplication, semantic ambiguity, and low-value and unclear pointing information that existed in the original text data were deleted. By setting thresholds and sorting, keywords with higher weights were filtered after scanning the cleaned texts. To compare data from different periods and subjects, the data was normalized. Correlation analysis was used to extract historical changes in Chinese ceramic technology in the time dimension, and then the components of ceramics in the historical evolution were analyzed by K-mean-based principal component analysis. Ceramic manufacturing technology mainly developed during the Five Dynasties and Two Songs, formed during the Yuan Dynasty, matured during the Ming Dynasty, flourished during the Qing Dynasty, and declined during the Republic of China. The first six principal components were extracted because their cumulative variance contribution exceeded 85%. In detail, the samples were divided into four categories according to each principal component, and the classification results reflect the differences in the content of pottery-making raw materials. Side by side, it reflects that pottery-making technology is changing with the advancement of history.
Training and Application of Teachers’ Informationalized Teaching Skills in a Blended Teaching Model for Accounting
Authors: Hu Chengyan 
Published: August 2024

Abstract
Blended teaching combines the benefits of both traditional classroom lecture instruction and online learning, allowing students to tailor their learning path based on their knowledge base. It also eliminates time and space constraints, effectively counteracting the limitations of traditional teaching methods. Based on teachers’ informational teaching skills, this study adopts the improved PSO algorithm to summarise the data generated by the teaching process and builds a blended teaching model based on accounting training in the context of big data. Subsequently, we employed a questionnaire survey to explore how the blended teaching model aligns with the informational teaching skills of accounting students, and ultimately, we summarized and generalized the impact of the blended teaching model’s execution. It was found that the accuracy of the data collected by the hybrid teaching model based on the DPSO algorithm ranged from 86.82% to 95.05%, and the energy consumption of the sensors of this model only ranged from 5.46 to 7.76*102 (mJ). Students were very satisfied with 32%-50%, 26%-33%, 30%-50%, and 25%-61% of the blended teaching effect, information technology teaching skills, course design and organization evaluation, and learning effect evaluation, respectively, which indicates that the blended teaching has achieved good results. This paper optimizes the three aspects of teaching and training the accounting profession to provide a reasonable reference for the construction of an information technology teaching mode for accounting professional training and application.
Quantitative study of the effect of high-performance zinc alloy coating technology on the life of mechanical components
Authors: Lai Yanjun 
Published: August 2024

Abstract
Corrosion of mechanical components has been of wide interest in recent decades. Corrosion is caused by physicochemical action between a metal and its environment, which can result in changes in the metal’s properties and functional damage in mechanical components. The main corrosion manifestations of zinc alloy coatings in marine environments are discussed in this paper, which first explores the application of high-performance aluminum alloy coatings in industry. Subsequently, the ZAS35 alloy used for this paper was experimentally prepared, and orthogonal tests were utilized to determine the optimum matching values of process parameters for zinc alloy coatings to generate materials. The hardness and wear resistance of ZAS35 were evaluated against other zinc alloys. An iterative learning control algorithm was employed to determine the thickness of the zinc alloy coating. The optimal control of the steady-state process of coating thickness can be achieved by using the NARX dynamic neural network model as a predictive identification model for zinc alloy coating thickness. Finally, data were collected using an optical microscope to quantitatively analyze the effect of zinc alloy plating on mechanical life. When the thickness of zinc alloy is 1.7 μm, the probability of life is [947.56,978.36]×103h interval t=0.999, which is improved by 409~684.11×103h compared with the plating thickness of 1.10μm . After adding aluminum elements to zinc plating, the corrosion potential of the plating decreases from −800mV to −1000mV, and the zinc-aluminum alloy prevents electrochemical corrosion of the plated layer with cathodic corrosion inhibition.