bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study on the Construction of Knowledge Mapping for Teaching English Politeness in Global Cultural Communication in the Information Age
Authors: Bao Lina 
Published: November 2024

Abstract
In this paper, based on the characteristics of teaching English polite phrases, the acquired research data are subjected to the segmentation operation, and a graph convolutional neural network is used to iteratively train them, finally completing the modeling of the knowledge graph of English polite phrases and determining the parameters of the model. The constructed knowledge graph is ready to be introduced into the English polite language teaching activities, and a model for teaching English polite language has been designed based on it. Simulation experiments and independent sample t-tests are used to validate and analyze the knowledge graph model and the teaching model, respectively. Upon analysis, it was found that the model in this paper could quickly and accurately identify the number of times the English verbs of polite phrases appeared, which was reflected in the fact that Promise appeared five times and Praise appeared four times. After the teaching intervention, the English test scores of students in Group E (Mean: 15.994) were significantly higher than those of Group C (Mean: 12.152), and the difference between the scores of the two groups was statistically significant (t=6.811, P=0.002<0.05), which confirmed that the English politeness language teaching model of the Knowledge Graph has a facilitating effect on the students’ English scores, and at the same time, summarized the effect of English politeness language education in cultural communication. This study improves the quality of English polite language teaching and students’ learning effect so that the informatization of English polite language teaching in colleges and universities can be further developed and plays a role in promoting global cultural communication.
Research on Virtual Character Behavior Simulation and Control Algorithm in Digital Movie Production
Authors: Cao Qinfan 
Published: November 2024

Abstract
Aiming at the inefficient design of virtual character behavior in traditional digital movies, this paper proposes to construct a virtual character behavior and control model. The virtual character’s behavior is constructed using a behavior tree, and perception and decision-making behavior models are created to optimize the visual perception of the virtual character. After the behavioral modeling is completed, the action controller is used to generate the character’s behavioral actions, combined with the physical dynamics method to capture the character’s trajectory, and the feedback control theory is applied to output the character’s joint rotation data information to realize the behavioral control of the virtual character. In the digital movie scene design of firefighters fighting and rescuing, the acquisition and execution time of a single behavioral modeling sample of this paper’s virtual character behavioral modeling method is 0.01s~0.03s, and the maximum running iteration time is 63.83s, which is faster than the agent-based behavioral modeling method. Compared to the traditional virtual character behavioral control method, which has an offset of more than 4mm, the virtual character firefighter generated in this paper has an offset of less than 0.3mm, which provides better control accuracy.
Innovative Practice and Teaching Reform Strategies of Artificial Intelligence Technology in the Teaching of Higher Vocational Food Testing
Authors: Chen Xiangjun , Duan Chunyan , Hu Zhenlong 
Published: November 2024

Abstract
The modern practice of teaching food safety testing technology at a higher vocational level emphasizes the cultivation of innovative and application-oriented talents, combining theory with practice. This paper integrates the classroom system reform and practical teaching system reform needs and puts forward the basic + professional + expansion of the three modules, innovative practice teaching mode. The reform of food testing teaching, through the introduction of relevant food safety hot news or topics, the use of the “introduction, measurement, learning, practice, solid, evaluation” six-step teaching method, and innovative classroom teaching links. Analyze the spectral data model commonly used in food testing, solve the parameter optimization problem for the SVM model, and improve the professional technology for food testing. Utilizing virtual reality technology to build a test operation environment, build an environment for practical food testing, and update the traditional test operation. Simulate the optimization of the scene for food testing in a virtual operation environment. Comparative analysis of various learning dimensions of higher vocational students to illustrate the role of higher vocational food testing teaching reform using the six-step teaching method. The satisfaction levels of senior students with traditional teaching and teaching reform are 3.45 and 4.25, respectively, and the difference between them is 0.8.
A Quantitative Study of Chineseized Musical Styles in the Piano Composition of the Yellow River Concerto Based on Audio Analysis
Authors: Dai Liping 
Published: November 2024

Abstract
The piano concerto “Yellow River”is one of the most influential works in Chinese piano concertos. This paper designs an ANN beat classification model based on audio analysis, calculates the beat cycle of the piano piece, and synthesizes the beats of the piano piece using the PSOLA algorithm, presenting an audio analysis of the piano concerto “The Yellow River”. Collate the compositional techniques and layout elements, musical characteristics, and points of nationalistic performance styles of the piano concerto“Yellow River”. Verify the universality of the audio analysis technique for the piano piece by identifying beats from different musical styles. The validity of the ANN-based audio analysis is determined by the piano keys and the audio selections of the piano concerto of “The Yellow River”. Select the classic performance version of the “Yellow River” piano concerto and count the total duration of different performance versions. Combining the designed audio analysis technique for piano compositions, the performance speeds and average speeds of each version are visually organized. Analyze the creative expression of the performance speed on the emotion and style of the piano concerto of “The Yellow River”. In the whole work, the solo piano melody has 187 beats in total. Yin Chengzong, Lang Lang, and Wan Jieni have the same average speed as 70.3 beats, 72.4 beats, and 59.3 beats, respectively. The overall tempo design of Yin Chengzong and Lang Lang has obvious peaks, and Yin Chengzong’s playing speed has a higher degree of ups and downs. The music has a more fluid feel, and the playing speed is used to demonstrate the immense momentum.
Research on Strategies to Enhance the Interactive Experience of Content Analysis and Practical Parenting of Civic and Political Education in Colleges and Universities in the Era of Big Data
Authors: Guo Yanping , Hao Binbin , Li Meijie 
Published: November 2024

Abstract
In the context of the big data era, the quality of ideological and political education puts forward higher requirements, while practical parenting highlights the higher value of ideological and political education in colleges and universities. This paper focuses on the three core elements of the operation mechanism, optimization mechanism, and evaluation mechanism to enhance the interactive experience of ideological and political education and practical parenting for college students. In the operation mechanism, a social practice composite parenting structure is innovatively proposed. In the optimization mechanism, three types of practical education mechanisms are proposed: leading type, teaching type, and service type. In the evaluation mechanism, the evaluation index system for practice parenting effectiveness is proposed, and dimensionless processing is utilized to eliminate the influence of the index scale. The judgment matrix is constructed using the hierarchical structure model. Empirical analysis is used to explore the effectiveness of the innovative, practical parenting mechanism for promoting ideological and political education in universities, using the pilot university H as an example. The results show that University H has the optimal teaching management dimension (0.31), the second best practice parenting infrastructure (0.20), and the practice teaching (0.06) dimension, less desirable, among the seven first-level evaluation dimensions. Therefore, in the work of ideological education in colleges and universities, it is necessary to strengthen the countermeasures from the aspects of improving ideological understanding, perfecting the organizational system, increasing the financial guarantee, and constructing the incentive system so as to comprehensively improve the effectiveness of practical education activities for college students.
Research on Intelligent Multimedia Technology Path of College Students’ Mental Health Education in Higher Vocational Colleges and Universities
Authors: Ji Difei 
Published: November 2024

Abstract
Multimedia in modern educational technology has the advantages of being infectious and easy to stimulate students’ interest, which can change students’ perception of things and enhance their mental health awareness when carrying out mental health education in higher vocational schools after analysing the advantages of the application of modern educational technology in mental health education. Taking the visual characteristics of multimedia learning screen as an entry point, we explore the internal logic and law of its influence on students’ learning emotions, hoping to use the learning screen carrying emotional value as an intermediate medium. Subsequently, a CNN-based emotion recognition model is constructed to analyse learners’ expressions, visual emotion preferences and the emotions of the learning screen, and adaptively adjust the key visual features of the learning screen so as to regulate the learners’ learning emotions, stimulate the learners’ interest in learning, and guide the learners’ emotional state. Based on this, a method of using intelligent multimedia technology to promote students’ mental health education is proposed. Combined with the results of teaching experiments, it can be seen that this paper’s innovative mental health education method has improved students’ positive academic emotions significantly, negative academic emotions improved to a certain extent, and the level of mental health has been further improved.
Strategies for Cultivating Students’ Spatial Imagination in Art Courses of Colleges and Universities Assisted by Virtual Reality Technology
Authors: Li Junjun 
Published: November 2024

Abstract
With the continuous progress of society and the deepening of the new curriculum reform process, art curriculum education needs to enable students to improve their spatial imagination in a positive emotional experience. This paper promotes the integration of virtual reality technology into art curriculum education with the help of IVLE technology. It is proposed to improve students’ spatial imagination in the art curriculum by applying practice courses, establishing practice environments, and selecting practice objects. The purpose of the virtual reality spatial cognition assessment dataset is to assess students’ spatial imagination. Extract the performance and behavioral characteristics of students, respectively, and use the Lasso regression algorithm to add regularization terms behind the loss function of the linear regression model to reduce the problem of covariance. The model was trained and evaluated through simulation experiments. All the prediction points of the Lasso regression model were within the 95% confidence interval, and the mean value of the difference score was 0.0909, with the maximum of the true value and the predicted value not exceeding 2. Comparing the effects of traditional art course education and immersive art course teaching with VR technology on the enhancement of spatial imagination, from the later stage of the experiment, all the dimension scores of the experimental group’s spatial imagination were higher than those of the control group, and the total scores were higher than the total scores of the control group. The score difference between the control group and the scores is 5.886 points. Virtual reality technology has a greater effect on cultivating students’ spatial imagination.
A Study of Administrative Data Security Operation Strategies in Higher Education
Authors: Li Tao , Xu Jiang 
Published: November 2024

Abstract
Good data security management is the foundation and prerequisite for data-enabled higher education and improving the modernized governance capacity and governance level of higher education. Accordingly, the study proposes a data security management system based on a blockchain scenario as a data security operation strategy for higher education administration. The FAHP-FCE model for evaluating the level of data security is constructed based on fuzzy hierarchical analysis and fuzzy comprehensive evaluation. The system of this paper is applied to University Z for administrative data security operation and comprehensive evaluation. The comprehensive evaluation score of administrative data security management of the university is 82.542, and the evaluation result is five levels, which is good, and verifies that the data security management system based on blockchain technology can manage the administrative data of the university securely.
Criminal law regime for electronic money crimes in the context of the digital economy
Authors: Li Zhe 
Published: November 2024

Abstract
E-money is a product of the fusion and development of network technology and digital economy, which has the attributes of data, property and money, and the current Criminal Law’s regulatory response to e-money crimes has highlighted the inadequacy. In order to improve the criminal law regulation of e-money crimes, this paper combines the Siamese-BiLSTM model based on the attention mechanism and TextRank algorithm to design a similar case retrieval model for e-money crimes, in order to analyze the loopholes of the criminal law regulation and the reasons for their emergence, and thus to give the path suggestions. Compared with the baseline model Siamese-BiLSTM, the accuracy and F1 value of the improved model in this paper are improved by 5.09% and 5.20% on average, respectively, and the removal of any module leads to a decrease in model performance. This indicates that the improvement of the e-money crime similar case retrieval model based on SBA+TextRank in this paper is better, and it is applicable to the similarity calculation of legal case texts. This paper provides a feasible path for improving the criminal law system for e-money crimes.
Informatization of the Traditional Literature of Donglu Drums and Its Supporting Role for Inheritance
Authors: Ma Xintao , Liu Na 
Published: November 2024

Abstract
In the face of a large amount of information on access to the literature resources of Donglu Drum, there is an urgent need for a tool to conduct in-depth research and analysis of this information to discover valuable laws so as to better guide the literature library’s inheritance work on Donglu Drum. This paper first improves the K-Means algorithm, using clustering methods to achieve a cluster analysis of literature access to understand the access information of literature access to the East Road drum literature resources, according to the clustering results of the number of different groups of people to understand the access to the literature resources and make a literature incorporation countermeasures for the literature preferences of the group of people with a larger number of access. Then, the Apriori algorithm is improved, and the association rules are used to analyse and mine the information of the literature accessers so that the literature librarians can carry out personalized services according to the preferences of the literature accessers, guide the accessers to access the relevant literature and improve the efficiency of their access to the literature, and at the same time, enhance their interest in the East Road Drums. Questionnaire survey results in 11 people think that with the use of algorithms combined with the digital library, their interest in understanding the East Road drums can be increased, 10 people said that they are willing to go to the offline close to appreciate the East Road drums opera. It shows that the efficient East Road Drum literature informatisation based on cluster mining and association rule mining has enhanced the interest of the masses in East Road Drum, and at the same time, it has supported the inheritance of East Road Drum to a certain extent.
A Study on the Strategies and Applications of Internet Financial Tools in E-Commerce to Promote Rural Common Wealth
Authors: Qi Yue 
Published: November 2024

Abstract
The insufficiency of Internet financial tools seriously restricts the development of rural e-commerce and its utility play in China. In this paper, after studying the common wealth mechanism of Internet financial tools in e-commerce, we use the entropy power method to measure the level of the rural common wealth, and use the panel regression model, Dagum’s Gini coefficient, and spatial econometrics model to study the relationship between Internet financial tools, e-commerce, and rural common wealth. The results show that the overall level of rural common wealth in China has increased significantly, but the gap between regions has widened, showing the development trend of ‘high in the east, fast in the centre, stable in the west and lagging in the northeast’. Internet financial tools can help rural e-commerce play a significant role in narrowing the income gap between urban and rural areas and promoting common prosperity in rural areas, but this effect may vary significantly depending on the geographical location, digital technology and e-commerce development level of each region. The article provides valuable policy insights for promoting the synergy development of rural e-commerce and Internet financial tools to achieve a common prosperity.
A legal study of transparency and fairness in algorithm-driven legal decision support systems
Authors: Rong Shengji 
Published: November 2024

Abstract
Nowadays, more and more legal decisions are being made with the help of machine learning models and algorithmic drives. Avoiding or reducing human bias in the decision-making process is extremely important for the fairness and transparency of the algorithms in legal decision support systems, and also profoundly affects the fairness and transparency of legal support systems. The article develops a system for supporting legal decisions based on the decision tree. By improving the traditional decision tree algorithm, the decision tree can be used to mine and classify unknown legal text data samples. Finally, the transparency and fairness of the legal decision support system proposed in this paper are legally researched, and legal decision accuracy is measured. Through experimental research, this paper concludes that the average accuracy of decision-making in commercial and copyright cases is 89% and 91%, and overall, the legal decision support system based on the decision tree proposed in this paper has good decision-making accuracy.
Computer Vision Based Multimedia Advertising Effect Enhancement Strategy in E-Commerce Practice
Authors: Wang Liang 
Published: November 2024

Abstract
In the context of today’s Internet-developed era, novel advertisement design is part of the enterprise marketing means. To improve the effectiveness of multimedia advertising on e-commerce practices, the study developed a multimedia advertising design system based on a generative adversarial network. The study proposes a generative adversarial network mechanism for computer vision technology, constructs an intelligent generation model of advertisement images using the generative adversarial network, designs a multimedia advertisement image interaction system, and explores the visual communication effect of multimedia advertisements. In order to test the significance of the advertisement image generation model for the display of advertisement images, a performance comparison test is conducted with other image generation models, and then the multimedia advertisement proposed in this paper is put into e-commerce practice. The study shows that the advertisement image generation model can accurately generate multimedia advertisement images, and the generation of multimedia advertisements based on the antagonistic network has a significant effect on the pleasant mood of e-commerce customers (p>0.005). Therefore, the multimedia advertising enhancement strategy proposed in this paper is conducive to mobilizing customers’ positive mood in e-commerce, and its practical effect is significant.
Sentiment Propensity Analysis of a Multimodal Chinese Corpus Using Fuzzy Logic
Authors: Chen Chunrong 
Published: November 2024

Abstract
In the face of massive multimodal information, it has become one of the current research hotspots to categorize it according to its sentiment so as to guide users to find valuable information from a large amount of data. Based on the application of fuzzy logic in sentiment analysis, this paper designs a method to analyze sentiment tendencies in a multimodal Chinese corpus. Firstly, text, audio, and video features of the multimodal Chinese corpus are extracted, and a fuzzy sentiment dictionary is constructed. Then, the double hesitant fuzzy set is used to reduce the intensity of the sentiment, and the fuzzy sentiment value is calculated. Then, the fusion of sentiment lexicon, intuitionistic fuzzy inference, and fuzzy comprehensive evaluation model is used to obtain the final sentiment tendency analysis results. The models constructed based on different lexicons all converge after 4 epochs, indicating that the model has strong feature learning ability. After combining the sentiment lexicon, the accuracy of the model’s sentiment classification improves by 2.27%. Compared with other common sentiment classification models, the precision rate, recall rate and F1 value of this paper’s model are improved by 2.41%-6.57%, 2.36%-4.91% and 2.38%-5.58%, respectively. The result of inclination to positive in the sentiment analysis of this paper’s model is 82.3%, with a difference of only 1% from the average value of 83.3% of user evaluation, and it is better than the analysis model of plain text (80.8%), which proves that the multimodal sentiment analysis model in this paper can correctly complete the analysis of sentiment inclination of the review data. This paper provides a new feasible approach for the propensity analysis of multimodal sentiment.