bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Exploration of Virtual Reality Technology for Enhancing Audience Immersion in Film Production
Authors: An Kang 
Published: December 2024

Abstract
A virtual reality movie is a kind of movie that is planned, shot and produced using virtual reality technology and viewed by the audience using virtual reality devices. This paper proposes using a 3D virtual camera to improve the shooting of virtual reality movies on screens. The camera focal length is utilized to regulate the size of the scene view body, and the adaptive Kalman filter method is employed to compensate for the camera’s attitude data. Select the most commonly used optical motion capture technology for virtual reality movies, build a motion capture system model, screen the optical motion capture data, and introduce the decision tree learning method in machine learning to analyze the correct rate of virtual motion recognition matching. Collect the research data, analyze the gender significance difference of the researched people by using the independent sample test, and share the immersion effect of virtual reality movie works by combining the four-dimensional experience of the researched people’s sensory, interaction, ease of use, and emotion. The virtual reality movie works have good performance in the four aspects of user sensory experience, interaction experience, ease of use experience and emotional experience, among which the mean value of sensory experience is 4.3426, which is the most outstanding, indicating that the virtual reality movie that integrates 3D image generation technology, live preview technology and performance capture technology has strong immersive creation ability.
The Construction of Civic and Political Education Content Innovation and Student Interaction Mechanism in the New Media Era
Authors: Deng Jiahui 
Published: December 2024

Abstract
The new media era has put forward new requirements for ideological and political education. The study reconstructs the content of Civic and Political Education based on the characteristics of the new media era, adds hotspots of the times to the traditional content, and at the same time, enriches the forms of expression in Civic and Political Education and introduces the technologies of virtual reality and augmented reality to build a virtual scene of Civic and Political Teaching. Then, the interactive mechanism of Civic and Political teaching is constructed by building the interaction between teachers and students, students and students, and setting up study groups. The innovative content and interactive mechanism of Civics education are applied to Civics teaching in colleges and universities, and after analyzing the influencing factors of teaching interactivity, the teaching interactivity of the mechanism in this paper is tested based on the Flanders interactive analysis system. In the scoring of the dimensions of Civics teaching, teaching form and teacher-student interaction are rated higher, while student-student interaction and performance evaluation are rated lower. There is a significant correlation between the effectiveness of teaching interactivity and teaching methods, learning efficiency, and backstage security. In the experimental Civics classroom, the proportion of teacher discourse decreased by 45.81%, while the proportion of student discourse increased by 38.74%. The proportion of student discourse is significantly higher than the proportion of teacher discourse. Students’ initiative in the Civics classroom is enhanced, and teaching interaction is significantly improved.
The Application of Geometric Figures in Traditional Calligraphic Art and Its Visual Communication Effect
Authors: Dong Huantao 
Published: December 2024

Abstract
Based on the geometry and structural concepts of calligraphy, this paper comprehensively considers the optimization of character structure and geometric lines and realizes the optimization of the echo relationship between strokes so as to obtain the design of Chinese characters that meet the aesthetic requirements of calligraphy. Based on the quantitative statistics of 3650 character components “structure body” and structural data, we summarize the finer structural guidance for design teaching. Using the calligraphy layout optimization method to optimize the calligraphy and its artistic design, the visual effect of the beautified Chinese characters can be observed. The findings indicate that the graphical design of Chinese character calligraphy is entirely based on geometric transformation. In the statistical analysis of the geometric structures of 3650 Chinese character calligraphy, there are 3391 types of geometric structures. The growth rate of the number of types gradually slows down when the structure depiction reaches the 4th layer. Therefore, the structure depiction should be divided into 8 layers, which can make the design teaching more refined. The optimized beautification degree of the logo design of a brand in the wine industry and the logo of the emblem of a sports meeting is more beautiful and aesthetically pleasing. Therefore, the method of this paper can achieve the beautification effect.
Research on Digital Inheritance and Innovation Mechanism of Traditional Music Culture Based on Deep Learning Technology
Authors: Li Xiaotong 
Published: December 2024

Abstract
In this paper, traditional music time domain features and cepstrum domain features are extracted using the spectral center of mass, spectral energy, linear prediction cepstrum coefficients (LPCC) and Mel frequency cepstrum coefficients (MFCC). After that, the traditional music signal is normalized using a normalization algorithm based on the Short-Time Fourier Transform (STFT). Finally, the performance of music source separation is evaluated using NSDR. In this paper, the percentage of inheritance rate for the four parts of traditional vocal music, traditional instrumental music, and traditional drama music before digitization is less than or equal to 40%, 35.06%, and 31.25%, respectively. After digitization, their percentage of inheritance rate is greater than or equal to 86%, 93.51%, and 87.5%, respectively. The inheritance rate of the three kinds of traditional music after digitization increased in the interval of 56%. After digitization, the inheritance rate of three kinds of traditional music increased in the ranges of 56%-60%, 18.75%-31.25% and 56.25%-81.25%, respectively. This indicates that the inheritance rate of three types of traditional music increases dramatically after being processed by deep learning techniques. Obviously, the support of deep learning technology is indispensable to enhance the inheritance and innovation mechanisms of traditional music culture digitization.
Research on the Teaching Mode of English Translation in Colleges and Universities with the Integration of Chinese Excellent Traditional Culture under the Background of Big Data
Authors: Lv Minmin 
Published: December 2024

Abstract
In view of the current situation of English translation teaching in colleges and universities under the background of big data, the excellent traditional Chinese culture is integrated into the process of English translation teaching in colleges and universities. In this regard, a model for teaching English translation in colleges and universities based on Chinese excellent traditional culture has been designed. Sixty students of grade 2022 of English majors in a school are selected as research subjects, divided into an experimental group and a control group, and the effectiveness of the teaching mode of this paper is examined with the help of a questionnaire and independent sample t-test. It can be concluded that there are significant differences between the two teaching modes in translation theory, translation grammar and reading comprehension (P<0.05), which verifies that the teaching mode of this paper promotes the teaching of English translation in colleges and universities and improves the quality of translation talent cultivation in colleges and universities.
Animation art space display model based on digital visual design
Authors: Mi Jun 
Published: December 2024

Abstract
With the deep popularization of digital media in the field of visual design, digital visual design has also been significantly developed in several industries. The research applies digital visual design to animation art, based on the basic principles of display space design, optimizes the rendering of animation art space and dynamic updating of the scene through multi-resolution LOD technology, and improves the LOD loading method through the entropy of image information, to construct the animation art space display model based on Unity3D. Taking the scene of the animation “City in the Sky” as an example, the animation art space created by the model in this paper is analyzed by example. The color and lighting of the space are analyzed to confirm the effect of this paper’s model by studying the satisfaction of visitors with the experience of the animation art space. The color tone of the animation art space created by the model in this paper is mostly warm. The color brightness is concentrated in the middle and high brightness areas, the color degree is concentrated in the middle and low color degree areas, and the color distribution is more harmonious. The lighting uniformity in the seven areas of the animation art space is not less than 0.8, and the illumination degree of the exhibition area and the non-exhibition area is in line with the lighting standards of the exhibition hall. Visitors’ satisfaction with the animation art space is higher than 4 points. The animation art space created by the model in this paper is of exceptional quality, as can be seen.
Research on the Motivation Mechanism of English Learning Motivation in Network English Environment
Authors: Cai Haiyan 
Published: December 2024

Abstract
In the English online independent learning environment, massive information, relatively unfamiliar learning media, and an open learning environment bring certain interference to students’ learning, and the strength of learning motivation will directly affect the effect of online independent learning. This paper utilizes structural equation modeling to explore the influencing factors of English learning motivation and their effects in the online English environment and dynamically adjusts the motivation mechanism through real-time monitoring and feedback of online English learning. At the same time, the method of independent sample t-test is applied to verify the actual impact of the mechanism in this paper on motivation for learning. Learning interest has a negative and highly significant effect on learning anxiety and learning anxiety on self-efficacy, while learning interest has a positive and highly significant effect on self-efficacy and self-efficacy motivation (P<0.001), and learning interest and learning anxiety indirectly affect motivation through the mediating path. There is a highly significant difference (P<0.001) between the experimental group using the learning motivation mechanism of this paper and the control group using traditional teaching methods in terms of online English learning achievement and overall achievement. The difference in learning motivation between the two groups of students before the experiment is not significant (P>0.05), but after the experiment, it is significant (P<0.05). This paper suggests that the learning motivation mechanism enhances the learning motivation of the experimental group, leading to an improvement in their comprehensive English scores.
Exploratory Study on the Path of Informatisation of Educational Management in Colleges and Universities under the Perspective of Intelligent Algorithm
Authors: Chen Yunbiao 
Published: December 2024

Abstract
With the updating of education concepts and the deep integration of education management and information technology, the development of informationization of education management in colleges and universities has gradually become a hot spot of concern. This paper is based on the content of college education management information technology and analyzes its significance in its development and construction. Then, it researches the information system for college education management and introduces it from three aspects: assisting teaching, managing teaching, and assisting education management. Then, the framework of the university education management information system is constructed on the basis of data mining, and then the data is analyzed using a clustering algorithm. To optimize the system, this paper utilizes a particle swarm algorithm that is based on a group intelligence optimization algorithm and proposes a method for selecting the optimal number of clusters (PSO-BestK). The clustering analysis shows that the average value of the M indicator of the important type of development student users is 0.047568, which is much larger than the other three categories, and the dependence on the platform is stronger. The F and S indicators of loyal student users ranked first, with 0.005210 and 0.038922, respectively, and these students are a stable group of loyal users of the informatization system platform. In addition, in the informatization assessment, the average scores of the three dimensions of informatization of activity resources, informatization cognition and network information construction in College H were 4.31, 3.89 and 4.04, which achieved a better performance overall. In this study, the effective student informatization user group was clustered and analyzed, and the problems in the construction of educational management informatization in colleges and universities were explored, which provided a research direction for the exploration of educational management informatization.
Research on the Current Situation and Formal Evolution and Innovation Path of Film and Television Criticism Supported by Cloud Platforms
Authors: Xie Ruibing 
Published: December 2024

Abstract
With the development of information technology and network communication, the film and television industry in the new era is rising and growing. In the film and television industry, film and television reviews are an indispensable part of the chain and play an important role in influencing the performance of film and television works to a great extent. In this paper, the ATCNN-SVM model is constructed to obtain sentiment classification results for film and television reviews and improve the generalization ability of the original model. Crawling the film and television reviews on relevant film websites, this text data is subjected to dimensional mining and dimensional correlation analysis, and the overall sentiment tendency of film and television reviews is obtained through sentiment-weighted accumulation. After a series of clustering and fusion steps, seven categories of film elements and five polarity sentiment scores were obtained for each film. When the sentiment score is -13, the frequency of films appearing is at most 2477, and at this time, film reviews mainly focus on filming techniques. Based on the results of the experimental analysis, we summarise the problems of film and television reviews at the present stage, and from a diversified perspective, we make positive and active reviews of domestic and non-domestic films, respectively, and analyse the innovative path of film and television review form evolution.
Research on the Integration and Teaching Effect of Augmented Reality Technology in Chinese Language and Literature Classroom Teaching
Authors: Xiong Yingying 
Published: December 2024

Abstract
This paper improves the traditional Chinese language and literature classroom teaching method based on augmented reality technology and uses statistical analysis to verify the teaching effect. Through AR technology, we can achieve three-dimensional teaching content in Chinese language and literature classrooms, create an interactive UMU learning platform, and design and build an augmented reality learning environment. Two classes majoring in Chinese language and literature in a university are selected as research objects, and the UMU interactive teaching platform based on augmented reality technology is applied to carry out teaching practice in the experimental class. Scales and questionnaires were designed to test the teaching effect in teaching practice, and the data were analysed using SPSS software, t-tests, F-tests, and other methods. After the teaching practice, the experimental class students’ cognitive level and learning attitudes towards Chinese language and literature were significantly improved compared with the control class, in which the average scores of the three dimensions of learning attitudes in the experimental class increased by 25.48%, 7.90%, and 20.11%, which were significantly higher than the increase of the average scores of the three dimensions in the control class. The recognition, perceived usefulness and satisfaction with the interface presentation of the UMU interactive learning platform of the students in the experimental class are all in the range of 0.9-1.0, which fully illustrates the attractiveness of the augmented display technology in this paper to the students, and strongly argues for its effective and adaptive application in the teaching of Chinese language and literature classroom.
Practice of Thai language education in virtual reality environment and assessment of its teaching outcomes
Authors: Ya Mansha 
Published: December 2024

Abstract
Virtual reality technology provides virtual environments that allow students and teachers to teach and learn in constructed virtual environments, which can simulate Thai language-related environmental scenarios and enable learners to have better perception and understanding. This study delves into the content and structure of virtual reality technology in Thai language education in terms of its practical role and then optimizes the interactive experience of virtual reality technology. This paper also further researches the practical teaching outcomes of the Thai language based on data mining, using fuzzy comprehensive evaluation results for cluster analysis, and constructing an outcome assessment system. Then, the data in the teaching outcome assessment system is studied through correlation analysis. In the practice of Thai language education with virtual reality technology, the confidence level that the virtual teaching content of the national language education is excellent and the evaluation level is satisfactory is 0.735, the confidence level that the teaching method is excellent and the evaluation level is satisfactory is 0.712, the confidence level that the evaluation level is basically satisfactory when the teaching method is good is 0.716, the confidence level that the teaching level evaluation of the interactive experience being excellent is satisfactory is 0.852, and the confidence level that the interactive experience is good is evaluated as basic satisfaction with a confidence level of 0.689. It has been comprehensively demonstrated that virtual reality teaching methods, teaching content, and interactive experiences have a significant impact on teaching and learning outcomes. In addition, it also proves that the optimization of virtual reality technology interaction has a positive impact on the outcomes of Thai language teaching.
A Study on Effective Strategies of Multimedia Technology to Promote Multicultural Cognition of Preschool Children in Ethnic Areas
Authors: Zhang Yuan 
Published: December 2024

Abstract
The globalisation trend of multicultural education has become a challenge that all countries in the world, especially multi-ethnic countries, must face directly. In order to improve the level of multicultural cognition in ethnic areas, this paper takes pre-school children as the research object, designs a multicultural education strategy based on multimedia technology, and uses the sample t-test in mathematical statistics to verify the promotion effect of the strategy on pre-school children’s multicultural cognition. The experimental group adopts the strategy described in this paper, while the control group uses conventional teaching methods. The two groups of experimental subjects are identical. Before and after the experiment, the experimental group had highly significant differences (p<0.01) in five dimensions: cultural diversity awareness, basic cultural knowledge, intercultural communication skills, cultural respect and tolerance, and cultural curiosity and desire to explore. The control group, on the other hand, only had significant differences in three dimensions: awareness of cultural diversity, cultural respect and tolerance, and cultural curiosity and desire to explore (P values of 0.032, 0.0.47, and 0.037, respectively). There are significant differences between the experimental group and the control group in all dimensions of multicultural cognition after the experiment (P<0.05). The multicultural cognition promotion strategy for preschool children in ethnic areas based on multimedia technology designed in this paper is superior to conventional teaching methods and has important reference value for multicultural cognition education in ethnic areas.
Optimising the design of financial data processing models in accounting information systems based on artificial intelligence techniques
Authors: Song Yanhua 
Published: December 2024

Abstract
Financial assessment and early warning analysis can help enterprises find potential financial problems earlier, make timely plans and take necessary measures to avoid risks. This paper uses a Bagging algorithm to integrate Random Forest, Support Vector Machine, and Plain Bayesian method to achieve the processing and classification of enterprise financial imbalance data. The entropy weight method is used to select and empower financial indicators to construct an accounting and financial data assessment model based on artificial intelligence technology. The model is applied to a consumer electronics enterprise, Company W, to analyze its financial situation and operating level. It is found that the composite score from 2019 to 2022 is 60.29, 70.80, 73.11, and 76.52, and the operating condition gradually improves from 2019. Debt service capacity, profitability, operating capacity, and growth capacity also show a positive trend. This is consistent with the actual development of Company W. Accordingly. It is recommended that Company W while maintaining its R&D advantages, focus more on the long-term operating ability of the enterprise, compress the operating cycle, reduce the risk of repayment and inventory pressure, and continue to enhance the competitiveness of the enterprise. This paper presents new ideas and methods for the innovation of enterprise management and the intelligence of accounting information systems.