bluuebunny/crossref_metadata_2025_split huggingface dataset:
The application of new media communication technology in vocational education teaching under the background of big data
Authors: Wang Xueying 
Published: September 2023

Abstract
Exploring the application of new media communication technology in vocational education teaching is better for improving the skill level of vocational school students. In this paper, starting from the KNN algorithm in the context of big data, the basic principle and process of the algorithm are explained, and the principle and model of the wolf pack optimization algorithm are introduced. The parameters of the KNN algorithm are optimized using the wolf pack search algorithm, and the definition of the objective function, initialization and solution of the optimal K value are given, which leads to the WPOA-KNN analysis model. The new media communication technology is analyzed, including teaching media, new media teaching technology and the advantages of new media communication technology applied to vocational education teaching. The WPOA-KNN analysis model was used to analyze and demonstrate the teaching of new media technology for vocational education in a higher education institution. From the satisfaction evaluation, the percentage of those who said they liked it was 76.06%, and the percentage of those who disliked it was only 9.09%. In terms of students’ learning behavior, the overall percentage of those who rated above C grade was 92.37%. This shows that using new media communication technology for vocational education teaching can enhance students’ learning enthusiasm, make them have a more exquisite technical level, and meet the diversified talent needs of employing enterprises.
Motion capture method for college basketball training based on AR/VR technology
Authors: Liu Chengyong , Liu Ying , Ni Kai 
Published: September 2023

Abstract
To improve the effectiveness of basketball running training, this paper proposes an AR/VR technology-based motion capture method for college basketball sports training. This paper first describes the method steps of virtual reality motion capture technology, data fusion and skeletal data normalization of skeletal data, and calibration to obtain the rotation matrix and displacement vector of each Kinect sensor to integrate the skeleton data. Then the data features are extracted, 3D joint position, joint velocity, joint angle and angular velocity are extracted from the fused skeleton information of each frame, and then the LSTM algorithm is used to obtain the timing information in the action sequence and to classify the action for recognition. Finally, the method’s performance is evaluated in terms of accuracy, recall, and response time. Regarding accuracy, the recognition rates of “shooting” and “defense” were around 85%, while the recognition rates of other actions were 93% and above. In terms of recognition time, the recognition time of common equipment is about 350ms, while the recognition time of virtual reality equipment is about 210ms, which is 100ms less than that of traditional equipment, demonstrating the effectiveness and feasibility of this method.
The Importance of Emotional Expression in Vocal Performance Art in the Internet Era
Authors: Zhang Chao 
Published: September 2023

Abstract
The quality of vocal performance lies in the performer’s skill level, and in this paper, the optimization method of their objective functions is investigated by analyzing the relationship between generators and discriminators of generative adversarial networks. Meanwhile, the attention mechanism framework is introduced, and the attention mechanism is applied to the generator part of the generative adversarial network, which is used to focus significantly on the useful information of text features, thus establishing a GAN network based on the attention mechanism. Then, the importance of emotional expression in vocal performances is analyzed using the improved GAN model. In terms of the enhancement effect on the attractiveness of the performance, high levels of emotional expression increased on average by 24.78% compared to low levels. In terms of enhancing the audience’s aesthetic experience, the high level of emotional expression increased by an average of 25.41% compared to the low level. Regarding the promotion effect of the artistic imagination of the whole performance, the high level of emotional expression increased by 19.76% on average compared with the low level. The importance analysis based on GAN can provide a reference for performers to balance good singing skills and emotional expressions.
Variation in metadiscourse verb patterns in English academic papers from intra- and interdisciplinary analysis
Authors: Tang Jianfu 
Published: September 2023

Abstract
The study of metadiscourse word resources is an important way to reveal academic knowledge constructs and genre features in English papers. This paper selects intra- and interdisciplinary English academic papers as data samples, and the text representation is based on the vector space model. The text similarity is calculated using the word movement distance model to complete the clustering based on the density peak, and then the semantic annotation of metadiscourse verb patterns is performed using the conditional random field. Then, the intra- and interdisciplinary metadiscourse annotations are compared to analyze the variation of verb patterns. The intra-disciplinary variation of metadiscourse verb patterns was mainly found using attitude markers, where the log-likelihood ratios of 48.56, 30.25, and 35.64 were obtained for affirmative, critical, and critical declarative attitudes, respectively. In interdisciplinary studies, basic disciplines preferred to use verb patterns as transitions, while applied disciplines preferred to express the author’s point of view. The study of metadiscourse verb patterns effectively enriches the linguistic resources in academic English teaching and deepens the understanding of the characteristics of disciplinary essay genres.
Analysis of the prospect of the development of university innovation and entrepreneurship courses based on the chain-type intelligent education model
Authors: Wu Xuanyuan , Liu Anhua 
Published: September 2023

Abstract
Based on the chained intelligent education model, this paper provides practical training and practice activities for the development of university innovation and entrepreneurship courses in colleges and universities by constructing a university innovation and entrepreneurship learning platform to achieve resource sharing of multi-professional experimental bases, thus ensuring that the development of innovation and entrepreneurship courses in all majors in colleges and universities is satisfied. Then the learning platform system is designed and implemented, and the system technical support includes classroom key frame extraction based on deep neural network, S-T graph and Rt-Ch frame feature analysis, and classroom face dataset. Finally, the construction guarantee measures and management suggestions of the university innovation and entrepreneurship platform are proposed. The platform can stimulate students’ entrepreneurial spirit, improve their entrepreneurial ability, expand the knowledge related to innovation and entrepreneurship, and enhance the practical experience. The statistical analysis of the development of the course affecting innovation and entrepreneurship through the survey analysis method yielded a score of 2.17 (standard score of 54.27) for the item of guiding other students in the innovation and entrepreneurship course, which is the lowest score among the 27 questions, indicating that students’ main consciousness has not yet been formed, and their consciousness and ability of active learning and guiding others to learn are to be improved. This study improves students’ innovation spirit, entrepreneurial consciousness and entrepreneurial ability through the transfer of innovative and entrepreneurial knowledge, and it has a guiding reference value for college students to grow into high-quality and innovative talents.
Application of Information Fusion Technology in Innovative Teaching of Music Theory Courses in Universities
Authors: Li Lin 
Published: September 2023

Abstract
In this paper, we first investigate the steps to implement a fusion algorithm that determines the quality function through fuzzy theory. Then, we utilize D-S evidence theory for decision-level fusion to identify the target data based on the collected data. The two algorithms, fuzzy theory and D-S evidence theory, are then combined. The affiliation function in fuzzy theory calculates the information collected from the sensors to find out the confidence level and patterns. Finally, the information fusion technology was analyzed in terms of its usage rate in music theory teaching, its impact on piano playing, and its impact on music theory teaching. In terms of utilization rate, 21 student teachers had information fusion technology utilization rate between 50% and 60%, and 21 student teachers had information fusion technology utilization rate between 50% and 60%. In terms of the impact of information fusion technology on the teaching of music theory, a comparative analysis of the pre and post test data T=−6.55 (P<0.0001) showed that the difference in the post test data was significantly higher than that of the pre test. This indicates that the facilitating effect of information fusion technology on music theory teaching is obvious.
The construction of a new theoretical system of university education development based on the principle of multi-optimization of fuzzy ICDS
Authors: Wang Peng , Zhang Shuo 
Published: September 2023

Abstract
The purpose of exploring the new theoretical system of college education development is to improve college students’ quality in all aspects. This paper constructs a new theoretical system of college education development based on the new theory of college education development--”three comprehensive education” theory. The fuzzy credibility measure and credibility distribution are used to explain the fuzzy processing theory, and the uncertainty index of the fuzzy processing model is optimized based on the cross-rhombus search algorithm to improve the search speed of the fuzzy processing model. Data experimental analysis is conducted for the fuzzy ICDS multi-optimization principle. Regarding search speed, the average search speed improvement of the algorithm in this paper relative to the CD algorithm saves about 1.37 to 4.69 points per block. It improves classification accuracy by 12.02% and 7.65% compared to the best fuzzy and GFCM algorithms, respectively. This shows that using the fuzzy ICDS multi-optimization principle can help analyze the effectiveness of the “three holistic education” theory in constructing the education development system and provide a reference for planning and implementing the new education development system.
Analysis of the Path to Improve the Effectiveness of Ideological and Political Education in Universities Based on Information Fusion Technology
Authors: Cheng Youming 
Published: September 2023

Abstract
This paper firstly constructs a reasonable education resource model according to the features of Civic Education Resources (CERs) and proposes an integration scheme of CER Library in universities based on information fusion technology. Secondly, the storage structure of Lucene’s inverted index is optimized for the management features of the CER Model, and a full-text index library of educational resources for resource retrieval is constructed. Then the advantages and features of information fusion techniques are used to provide college students with exclusive, practical, personalized and customized Civic Education measures to innovate the concept of ideological and political education (IPE) in colleges and universities. Finally, through the subject index of ideological education resources constructed based on the LDA model, the semantic processing of user queries, the design of effective experimentations to confirm the accuracy of the retrieval of ideological education resources, and its evaluation indexes are considered comprehensively from several aspects such as retrieval speed and accuracy rate. The results show that the maximum P @ N value of improved Lucene index retrieval is 1, which is 0.4 larger than that of traditional Lucene-based index retrieval, and the average performance of improved Lucene index retrieval is improved than that of traditional Lucene-based index retrieval in P @ N indexes. This study helps universities to innovate the concept of IPE to retain the ideas up to date and retain pace with the times.
Research on the development model of fusion of poetry communication and literary creation based on information fusion technology under the perspective of national fusion
Authors: Bao Laiying 
Published: September 2023

Abstract
Under the perspective of national integration, the fusion development of poetry communication and literary creation is flourishing. Through analyzing the characteristics of contemporary poetry dissemination and creation, this paper proposes an innovative model for the fusion development of poetry dissemination and literary creation based on information fusion technology. For poetry dissemination of multi-source information data, random set theory is used for representation, information fusion is performed on the representation results of random sets based on D-S evidence theory, and uncertainty is measured by introducing trust functions and multiple basic probability distribution functions synthesized into one basic trust function through orthogonal sum according to synthesis rules. From the viewpoint of dissemination information sources, news and information websites, video websites, podcasts or audiobooks are called the most important information sources for poetry dissemination, with a combined weight of more than 95%. In the case of poetry literature creation under the integration development mode, the periodicity of the works has significantly improved, with an improvement interval of (18.3% and 27.6%). The dissemination degree also increased effectiveness, with a maximum of 30.7% and a minimum of 21.5%. The development model based on information fusion can open up a new path for the fusion development of contemporary poetry communication and literary creation.
A study of the relationship between the prosperity of literary novels and the prevalence of the imperial examination system in the Ming Dynasty based on the LDA model
Authors: Su Yu 
Published: September 2023

Abstract
In this paper, we first determine the coupled linkage analysis model of the Ming dynasty imperial examination system and novel literary prosperity, extract the links between potential themes from a large-scale corpus, and mine the probability distribution of lexical items. Then the method of calculating the similarity of thematic coupling is investigated, using the co-occurrence information of lexical items to calculate the association weights, inline, outline and coupling relationships among lexical items, semantic information and relevance of lexical items. Then the historical evolution of the imperial examination system and its position in history are explored. Finally, based on the model mining algorithm, the relationship between the imperial examination system and the prosperity of literary novels is analyzed in terms of the drawbacks of the imperial examination system in the Ming Dynasty, the impact of the imperial examination on the richness of novels and the number of novels. Regarding the influence of novel richness, the criticism of the imperial examination system reached 44% in the early Ming Dynasty, 52% in the middle, and 60% in the late Ming Dynasty. Novels on themes such as magic, immortality, and the grotesque reached 50% in the early Ming Dynasty, 55% in the middle, and 59% in the late. In terms of the number of literary novels, the number of novels written during the Jianwen period was 504, and the number of novels written by those who failed the imperial examinations was 322, with a large number of literati who failed the imperial examinations devoting themselves to literary creation. The system of taking scholars from the eight examinations in the Ming Dynasty promoted the prosperity of literary novel creation.
Energy-saving and noise-reducing integrated task allocation model for machining systems and its application
Authors: Chen Tao 
Published: September 2023

Abstract
In this paper, firstly, based on the application model of optimal scheduling of machining system for green manufacturing, two application models of the energy-saving scheduling model and energy-saving and noise-reducing scheduling model in a multi-model framework are combined, and the resource environment coefficient matrix of the two application models is established as well as the solution process is studied with the parallel machine problem. Then the system's architecture is constructed, and its basic operation flow, functional modules, etc., are designed and conceived. The application of the system is studied in conjunction with a gear machining workshop of a machine tool factory, and the machining system's energy and noise reduction performance is verified based on experiments. The results show that the energy consumption of the machining system is reduced by 0.514 kW-h by machining only the above six gear parts with a small difference in the maximum machining completion time and that the spindle speed has the most significant effect on the machine tool machining noise at a significance level α of 0.05. The analysis of this study verifies that the energy-saving and noise-reducing scheduling arrangement method can reduce the system machining energy consumption and noise, which is important for green manufacturing.
Research on the cultivation mode of big data accounting talents in higher education institutions based on hierarchical analysis method
Authors: Chen Chen , Song Peisen 
Published: September 2023

Abstract
To scientifically and rationally establish a big data accounting talent cultivation model based on integrating industry and education in higher vocational colleges, this paper applies the hierarchical analysis method to establish a hierarchical model and conduct analysis. According to the current situation of accounting talent cultivation in higher vocational colleges and the existing problems, an evaluation model of accounting talent cultivation is established to establish four major indicators of talent cultivation, cultivation direction, curriculum setting, cultivation ability, and teaching condition construction, and the weights of each indicator and consistency test are derived to determine the importance of accounting talent cultivation indicators. In the case application analysis, the highest synthetic weight of practical ability is 0.2202, followed by the synthetic weight of the faculty team is 0.2184, and the third is the synthetic weight of strengthening ideological and moral qualities is 0.1383. The average rating of leaders, teachers, students, and enterprises is 77.5, which shows that the talent cultivation mode of accounting in S private higher vocational college is in the middle level, especially the ratings of teachers, students, and enterprises are 75.5. The mean ratings of teachers, students, and enterprises were 75, 72, and 76, respectively. It can be seen that there are shortcomings in the talent cultivation mode of accounting majors in S private higher vocational college, and for this reason, the article finally constructs a higher vocational accounting talent cultivation path under the integration of industry and education around the identified problems.
Study and experimental analysis of the effect of static stretching combined with resistance training on neck and shoulder syndrome in college students in the context of big data
Authors: Liu Yang , Ran Ningpei , He Yi , Luo Guangxia 
Published: September 2023

Abstract
In order to explore the effect of variable resistance training with edge computing and information physical system model combined with computer vision under static traction in neck and shoulder rehabilitation training of college students. In this paper, 90 cases of neck and shoulder patients admitted to XX Hospital from February 2022 to December 2022 with neck and shoulder syndrome in a university in Shanghai, were selected as study subjects and randomly divided into 45 cases of the observation group and 45 cases of the control group. Edge computing and physical information system were used for data processing, and patients in the observation group received variable resistance training combined with static traction, and patients in the control group received static traction. The results showed that after rehabilitation training, the effective rates of the observation group and the control group were 91.11% and 71.11%, respectively, and the differences between the groups were statistically significant (P<0.05). Comparing the visual analog scale (VAS) and neck disability index (NDI) of the two groups, the VAS score of the observation group was lower than that of the control group after treatment (P<0.05), and the NDI score of the observation group was lower than that of the control group (P<0.05). It indicates that the use of static stretching and resistance training for neck and shoulder syndrome in college students is more effective in relieving patients’ neck pain and is worthy of clinical promotion and application.
Exploring the path of high-quality development of teacher education and teaching based on collaborative filtering algorithm
Authors: Liu Haiyan , Xiong Ziyi 
Published: September 2023

Abstract
In this paper, firstly, a collaborative filtering algorithm based on users is used to mine the past behaviors of the target users. Items are glanced and composed to gain insight into the user’s preferred items and to mine preference information, followed by searching for users with similar preferences to the user in the system and calculating the similarity between users and users using cosine similarity and pearson similarity, and predicting the target user’s rating of an element based on the rating value of an item given by a nearby user. Then the personalized teaching system is designed by the actual situation of the online teacher teaching courses on the platform and the course demands of the platform students, and the path of high-quality improvement of teacher training and teaching is studied, mainly focusing on three aspects: clear value orientation, good personalized system teaching planning, and implementation of multiple evaluations. When analyzing the student-teacher ratio of teacher education institutions, the student-teacher ratio of Central China Normal University has the largest value, 24.79%, while the values of East China Normal University and Nanjing Normal University are relatively small, 15.97% and 15.39%, respectively. Either based on theory or based on practice, any institution of higher education with an excessive student-teacher ratio. This study helps teachers grow professionally and provides a good foundation for eventual individualized student development.