bluuebunny/crossref_metadata_2025 huggingface dataset:
Innovation of Physical Education and Health Curriculum Teaching Models in Colleges and Universities in the Digital Era and Its Contribution to Students’ Core Literacy
Authors: Yang Shen
Published: November 2024

Physical education and health curricula in colleges and universities are obsolete, and there is an urgent need to innovate teaching models and methods. To achieve innovation in physical education and health teaching, this paper utilizes cutting-edge information technology like motion recognition to construct a physical education and health data monitoring model. Firstly, the positional relationship between coordinate systems is determined, and the established coordinate system is used to describe the orientation and position of human postural joints, and the rotation matrix is used to define the rotation from the global coordinate system to the current orientation of the local coordinate system of bones. A human motion joint skeletal chain model is created that has 21 bones and 21 joints. The joint pose solution method is proposed, and the human kinematic model is constructed by combining robot ortho kinematics and coordinate transformation. A position estimation algorithm combining inertial navigation and a human kinematics model has been designed. After analyzing the performance of the recognition model, analyze the effects of its application on the innovation of college physical education courses. It is found that the model in this paper monitors the heart rate data with an error of only 3 or less, and the accuracy of human movement recognition on the MHealth and PAMAP2 datasets is 97.38% and 96.63%, respectively, and the learning ability is optimal. After one semester of innovative mode teaching and the use of a physical education and health data monitoring model, the mean values of physical education and health knowledge, physical education behavior, physical fitness and health, motor skills, and physical character of the experimental class were 35.77, 25.53, 25.04, 35.73, and 31.56 points higher than those of the control class, respectively. Motivation, skill acquisition, after-school sports, and sports concern were significantly higher in the experimental class, with scores of 5.66, 6.71, 5.61, and 3.65 points higher than the control class. This paper’s innovative teaching mode and model have been effective in improving teaching quality and stimulating students’ sports and health habits.
Study on the Promoting Role of Non-Heritage Cultural and Creative Designs on Rural Revitalization Strategy in Multimedia Environment
Authors: Zhang Lihua
Published: November 2024

The innovative combination of multimedia technology and non-legacy can enrich the expression of non-legacy and let traditional culture show new vitality. This paper selects, combines, and weights the evaluation indexes for non-heritage cultural creation and rural revitalization in the multimedia environment. We use the cloud model to measure the development level of non-heritage cultural creation and rural revitalization in a region from 2018 to 2023. We construct the regression model of non-heritage cultural and creative design and rural revitalization on this basis, applying the multiple linear regression method to determine the contribution of non-heritage cultural and creative design to rural revitalization and to investigate their role in promoting it. The results for non-heritage cultural and creative design and rural revitalization measures in the sample area are 0.301 and 0.331 respectively, reflecting uneven regional development. For every 1% increase in non-heritage cultural and creative design, the development level of rural revitalization increases by 0.316%. Notably, the derivative products of non-heritage cultural and creative design significantly contribute to rural revitalization, with a contribution of 0.315. Facilitating the transformation of non-heritage cultural and creative products into cultural and tourism products, establishing a mechanism for the incorporation of non-heritage cultural and creative design, and innovating non-heritage cultural and creative brands can promote further development of rural revitalization.
Model Design and Discourse Construction of Intercultural Communication of Chinese Cultural Community in Globalized Business Environment
Authors: Zhang Tingfang
Published: November 2024

China has a long history and unique cultural traditions, containing many rich wisdom and values. This paper focuses on cross-cultural communication within the Chinese cultural community and how to strengthen the discourse power of Chinese culture in the context of global business. Global principal component analysis and spatial econometric modeling are used to analyze the impact of cross-cultural communication on China’s export trade, highlighting the importance of cross-cultural communication in China and global economic development. The cross-cultural communication platform is constructed based on Vue.js and Koa framework, and the merchandise purchase module is developed to meet the needs of the development of the global business environment. The spatial Durbin model is identified as the optimal model that can be selected in this paper by LM, Hausman, LR, and Wald tests. Based on the SDM model, the results of the spatial effect decomposition of the impact of cross-cultural communication on China’s export trade are given, in which the core explanatory variable cross-cultural communication is significantly positive in all three effects, and the direct and indirect effects of the cross-cultural communication variables pass the test at the 5% significant level. By analyzing the application effect of the cross-cultural communication platform in this paper, the significant role of the platform in promoting cross-cultural communication between China and foreign countries is fully demonstrated.
A Study on the Cultivation of Clinical Thinking Ability of Vocational Education Nursing Students Assisted by Information Technology
Authors: Zhu Qing , Li Yufang
Published: November 2024

The proliferation of information technology has provided innovative developments in the clinical training and education of nursing students. The auxiliary role of information technology in the medical field is discussed in this paper, which encompasses medical-related surgery, medical specialty teaching, scientific research, and remote diagnosis and treatment. A virtual simulation teaching system was constructed based on the assistance of information technology, and the development process of the system was divided into three-dimensional modeling, interactive function design, system packaging and distribution, and testing and evaluation sections. It also performs functional simulation of each section and provides 3-dimensional visualization of traveling waves, standing waves, and the acceleration principle through the mathematical modeling of traveling wave and standing wave simulation. Finally, the human-computer interaction was realized through the collision detection technology of the smoothing function and directed envelope box algorithm. There was a significant difference between the experimental and control groups in terms of exam performance scores, as well as the total clinical thinking skills scores of the two groups. The average evaluation score of students on the 14 evaluation items reached 8.69. It is clear that the VERT virtual simulation teaching system has a positive impact on the teaching of nursing, and the assistance of information technology is beneficial to the development of good clinical thinking ability of nursing students.
Computational fluid dynamics-based design method for gas turbine internal flow field optimization
Authors: Sui Xin
Published: November 2024

The performance of a gas turbine directly affects its energy conversion efficiency and operation stability rate, while the optimization of the internal flow field is the key to improving its performance. Computational Fluid Dynamics (CFD), as a powerful numerical simulation tool, plays an important role in optimizing the gas turbine flow field. In this paper, the turbine of the gas turbine is taken as an object, and CFD technology is used to analyze the distribution of the flow field inside the turbine and to realize the optimization design of the gas turbine in this way. The finite volume method (FCM) based discretization of the N-S governing equations is selected, and the RNG k-ε turbulence model is used for numerical simulation. The mounting angle, geometric angle, and mid-arc are used to optimize the aerodynamic joint of the turbine’s dynamic and static blades based on the results of the 3D flow field analysis. The error of the RNG k-ε model in the efficiency characteristic line is smaller than that of the SST model and the EARSM model, and its maximum relative errors with the experimental values of efficiency and flow rate are 3.4% and 4.6%, respectively, which are within the reasonable range, indicating that the reliability of the numerical calculation method in this paper meets the requirements. Compared with the initial design of the turbine, the mass flow rate and total efficiency of the optimized turbine in this paper have been improved by 0.88% and 4.93%, respectively, and the expansion ratio has been reduced by 6.15%, which is a better optimization effect, and lays a practical foundation for further optimization of the design of the gas turbine.
Modeling Kindergarten Teachers’ Leadership in Child Care Education and Its Contribution to Teaching Quality
Authors: Wang Jingshu
Published: November 2024

This paper synthesizes the theories of kindergarten care education and leadership, constructs the kindergarten teachers’ leadership model of care education, and defines the four independent variables of the model. The questionnaire design is completed through interviews and references to related literature. The reliability and validity of the research data based on the questionnaire are evaluated, and the method of analysis and calculation process are provided. Using this data analysis method, the leadership model of kindergarten teachers in childcare education and the quality of teaching and learning are empirically analyzed. The results show that the leadership model of kindergarten teachers’ childcare education has a significant positive correlation with the quality of teaching and learning, and the regression equation between the two is teaching and learning quality = 1.838+0.276*leadership traits + 0.150*leadership behaviors + 0.171*leadership context + 0.153*leadership theory of change, and there is no multicollinearity, which reveals the mechanism of the interaction between the leadership model of kindergarten teachers’ childcare education and the quality of teaching and learning. The mechanism of action in teaching quality can elevate kindergarten teaching quality to a new level.
A Model of Sentiment Analysis for College Music Teaching Based on Musical Expression
Authors: Wang Xuecheng
Published: November 2024

In this paper, we first present the structure of the Hierarchical Sentiment Analysis Model for Multimodal Fusion (HMAMF). The model uses the Bi-LSTM method to extract unimodal music features and a CME encoder for feature fusion. After unimodal sentiment analysis, the loss function of the auxiliary training dataset is obtained and co-trained. Finally, the application of the HMAMF model in university music teaching is being explored. The results show that the agreement between the dominant sentiment of the HMAMF model and the prediction results is >80%, and the model is well-tested. The model underwent 35 training sessions when the correct rate for network recognition was 97.19%. The mean accuracy of the model’s 3-time recognition for music lengths from 50 seconds to 300 seconds ranged from 87.92% to 98.20%, and there was a slight decrease in the accuracy of the model’s recognition as the music length increased. The mood and beat of the music were judged by the model in a way that was highly consistent with the students’ delineation results. Students and teachers’ satisfaction with the performance of the sentiment analysis model in terms of “music tempo, rhythm, mood, content, and recognition time” ranged from 81.15% to 85.83% and from 83.25% to 92.39%, respectively. Teachers and students are satisfied with the HMAMF model proposed in this paper at a rate of 89.43% and 90.97%, respectively. The HMAMF model is proven to be suitable for use in the music teaching process.
A Strategic Study on Quality Improvement of Physical Education Teaching Empowered by Digital Intelligence Technology
Authors: Wei Lingling
Published: November 2024

The development of digital intelligence technology has created a brand new path for the improvement of physical education teaching quality. Aiming at the deficiencies of the current physical education teaching quality, the study introduces digital intelligence technology to design the strategy of physical education teaching quality improvement and establishes the physical education teaching quality evaluation model based on the PSO-BPNN algorithm to quantify the effect of physical education teaching quality improvement empowered by digital intelligence technology. Five courses, including basketball and soccer, taken by a university in 2022-2023 are evaluated as objects to assess the teaching quality of physical education after the empowerment of digital intelligence technology. The results show that the error between the actual output results and the expected output results of the PSO-BPNN model is within the ideal error range. And the evaluation grades of the five courses reached good and above, among which soccer and table tennis achieved excellent grades. It indicates that the PSO-BPNN model can effectively quantify the impact of the application of digital intelligence technology on the improvement of physical education teaching quality. At the same time, it shows that the teaching method of digital intelligence in physical education can significantly improve the quality of physical education teaching.
Quantification of the effect of environmental variables on the rate of starch accumulation during the potato growth cycle
Authors: Wu Guili
Published: November 2024

In this study, we selected potato varieties with varying starch contents, set up different degrees of water stress treatments, and varied temperatures to investigate the effects of water stress and high temperatures on the activities of key enzymes of potato starch synthesis and the rate of starch accumulation. We observed the mechanism of potato water stress on starch synthesis and accumulation. Next, we measured the amount of starch in potato tubers across various potato types exposed to varying levels of drought stress. The findings showed that soil moisture stress greatly decreased the activities of the AGPase, GBSS, SSS, and SBE enzymes (P<0.05). Under a severe drought-stress environment, the starch content was significantly reduced to a minimum value of 74 mg/g compared to normal moisture conditions.AGPase and GBSS enzyme activities were reduced by 7.14% and 19.05%, 40.69% and 10.34%, respectively, and the rate of starch accumulation was also significantly reduced after high-temperature treatment T1 compared to T2 and T3. The average accumulation rates in different environments: high temperature > drought stress > water stress.
Construction and Evaluation of Digital Resource Management Platform for Physical Education in Colleges and Universities
Authors: Zhang Riming
Published: November 2024

With the popularization of the Internet, colleges and universities have successively increased their efforts in the construction of network teaching resources, but the traditional network course platform lacks the innovation of interactivity and has the problem of a low utilization rate of teaching resources. The article builds a digital platform for managing sports teaching resources based on the specificity of the sports discipline and divides it into three functional modules: resource library management, teaching management, and user management. Meanwhile, it proposes the operation process of the dynamic resource integration model, explains the principle of the appropriateness of strategy, and proposes that the best way for the organization to enhance its position is along the direction of the organizational gradient. It focuses on the digital resource allocation method with the goal of maximizing the overall value and taking into account fairness under the conditions of a dynamic environment and limited teaching resources and adopts the Gini index, which reflects the effect of digital resource utilization in physical education in colleges and universities. Through the construction and practice of badminton digital teaching video resources, the mean values of the three dimensions of students’ learning strategies, learning behaviors and learning effects were 3.604, 3.49 and 0.725, respectively. Skill level dimensions, which were significantly higher than that of the control group ( P ≤ 0.001), verified the effectiveness of the digital resource management platform, which in turn provided a basis for the dynamic integration of digital learning resources.
An Innovative Approach to a Physical Education Skills Teaching System Incorporating Online Video
Authors: Zhang Yangsheng , Wei Peijun , Ranges Michelle
Published: November 2024

This paper clarifies the importance of teaching methods for physical education, and points out the teaching advantages of online sports video. The teaching of physical education skills involves three aspects: teaching objectives, teaching tasks, and teaching ideas. The online video module is embedded in the sports teaching module, and video summary technology is used to summarize important and difficult points in teaching sports skills. In view of the characteristics of sports skill teaching, a video summary method based on real-time video streaming is proposed to sync static and dynamic video to meet the requirements of skill teaching. Introducing the video summarization evaluation criterion, we construct two indicators, OR and CD, to compare and evaluate the reasonableness of the proposed video summarization technique in this paper. The effectiveness of online video teaching of statistical sports is evaluated from the viewpoints of students and teachers. The online video teaching of sports was acknowledged by most of the students and they highly rated their performance during the online video teaching of sports. Sports online video teaching is believed by teachers to promote classroom interaction, but there is still room for improvement in answering questions in class.
Functional Analysis of Public Physical Education Course Informatization Construction in Colleges and Universities on Promoting Students’ Health
Authors: Zhao Chunai , Wu Gang
Published: November 2024

Information plays a crucial role in the reform of public physical education courses in colleges and universities. In this paper, we construct a sports health monitoring system for teaching physical education in colleges and universities. Firstly, we derive the heart rate and transmittance oxygen saturation monitoring algorithm using Lambert’s law and the photoelectric volume method, and then design the anti-interference heart rate and oxygen extraction algorithm using a time-varying autoregressive model. To use the time-varying autoregressive model based on multiwavelet basis function expansion, you have to pick the multiwavelet basis functions and guess what the model parameters are. Then, the action recognition module is designed, the static calibration method is used to correct the zero bias of the collected data, the sliding mean filtering method is used to eliminate the random noise, and the data segmentation is performed on the long sequence data. After the system is constructed, its accuracy is checked in four states, and finally, its effect on students’ exercise health is analyzed. It was found that under the four conditions of sitting, standing, walking, and jogging, and comparing with the results of medical pulse oximetry, the maximum error of the heart rate and blood oxygen results monitored by the system in this paper is no more than 3, which is within the acceptable range. The coefficients between the use of the exercise health monitoring system and the enthusiasm for exercise, commitment to exercise, and adherence to exercise health were 0.571, 0.584, and 0.625, respectively, with a significant correlation (p<0.01) and a moderate correlation between the variables. Exercise enthusiasm and commitment can both serve as simple mediators in the relationship between the use of the exercise health monitoring system and exercise health adherence, and they can also act as a chain mediator in the relationship between the use of the system and physical activity adherence.
Construction of Strategic Management Accounting Decision Model Supported by Deep Learning Technology
Authors: Zhou Tingting
Published: November 2024

Deep learning technology is widely used in modern enterprise management. The research employs deep learning technology in the field of accounting decision-making, exploring the development of an accounting decision-making model based on deep learning. This involves enhancing the underground learning efficiency of the CNN-Transformer model for multivariate time series classification, and subsequently proposing a D-Transformer accounting decision model for multivariate time series classification. Based on this model, we integrate cloud computing and other technologies to jointly construct an accounting decision support system. We verify the decision-making performance of the accounting decision-making model, choose the automobile manufacturing enterprise S Company as our research object, and analyze its financial situation. The accounting decision-making model is used to generate the corresponding decision-making recommendations after inputting the analysis results. The AUC value of the ROC curve of the D-Transformer decision-making model is 0.96, which is the largest value among all decision-making models, indicating that it has the best decision-making performance. The S Company generally maintains its total assets at approximately 12 billion yuan from 2019 to 2023. The total liabilities increased from 7.874 billion yuan in 2019 to 9.530 billion yuan in 2023. While the amount of liabilities is significant, the level of solvency is insufficient. In 5 years, the proportion of total restricted assets to total assets will be around 20%. The ratio of total long- and short-term borrowings to liabilities is approximately 35%. The largest variance ratio between actual and budgeted costs for the five operation centers is the R&D and design operation center (19.20%), and the smallest is the production operation center (1.04%), respectively.
Research on Strategies for Improving University English Translation Ability for the Digital Era
Authors: Zhou Xiaofei
Published: November 2024

With the increase of international exchange and cooperation and the acceleration of globalization, English translation ability has become one of the key directions for the cultivation of professional talents in colleges and universities. This paper takes the intelligent proofreading and automatic scoring technology of English translation error text as the fulcrum of the strategy for improving English translation ability in universities. A camera distortion model is established using machine vision technology to eliminate the impact of image distortion caused by translated text and perform image correction. Use median filtering and adaptive Gaussian filtering to eliminate noise in English translation text, and utilize text feature extraction methods to automatically detect translation errors. A translation scoring system is designed and a ternary function model is used to process the translation data and complete the scoring feedback for the translated text. The students of Xinjiang Agricultural University in China were selected as the research subjects to carry out English translation teaching practice. The students in the experimental class outperformed the control class from the second test, and their average scores on the second, third and fourth tests were 2.29, 4.74 and 6.34 higher than those of the control class, and the mean values of 12 learning effect dimensions such as mastery of course content, learning efficiency, and problem-solving ability were higher than those of the control class, while the mean values of the indicators of satisfaction with the teaching of English translation were greater than four.
Research on the Optimization Strategy of the Content of Civic and Political Education and the Enhancement of the Effectiveness of Practical Educational Training for the Digital Teaching Environment
Authors: Xu Yue
Published: November 2024

This paper focuses on the optimization of the content of ideological and political education from the perspective of optimization and establishes an evaluation model based on Lib-SVM for the effect of optimization. The study proposes optimization strategies for ideological and political education in colleges and universities based on VR technology at three levels. The fundamental task of establishing moral education must be adhered to, while clarifying specific tools for optimizing the content of ideological and political education with VR technology. The value leadership of mainstream consciousness is adhered to, and the framework for optimizing the content of ideological and political education through VR technology is improved. Then, on the basis of the implementation of the optimization strategy, an assessment model based on Lib-SVM was established to analyze the ten statistical data of students’ interpersonal communication ability, organizational ability, adaptability, hands-on ability, teamwork ability, innovation ability, expression ability, enhancement of the sense of responsibility, cognitive ability of the society, and experiencing the hardship of life as the source of input data, and to analyze the correlation between these ten data and the level of enhancement of the effectiveness of practical educating people. Analyzing the correlation between these ten data and the improvement level of practice education effectiveness, the length of students’ social practice has increased, and the average length of time spent on volunteering has reached 236h, and there are different degrees of improvement in the ten competencies. The evaluation of Lib-SVM of the strategy of optimizing the content of Civic and Political Education on the effectiveness of practical education was completed, which proved that the strategy carried out a superior enhancement of the effectiveness of practical education.
An empirical study of AI-assisted teaching method in music education based on multiple intelligences theory
Authors: Chen Pengyan
Published: November 2024

In the process of researching innovative methods of music teaching, this paper takes the theory of multiple intelligences as the theoretical support of AI-assisted teaching methods to assist music teaching design ideas. The multiple intelligence theory is used to propose an auxiliary Q&A system for music education. After conducting basic theoretical research on the seven dimensions of the multiple intelligence theory, the preliminary design of the auxiliary Q&A method for music education is carried out, and finally, an auxiliary Q&A system for music teaching is proposed, which mainly consists of four major modules, namely, question-answering, question-retrieval, question-browsing, and backstage management. Through empirical testing, this paper concludes that in the post-test comparison experiment of the intelligence of students in the experimental class and the control class, the experimental class students’ bodily-kinesthetic intelligence and musical intelligence, etc., have been significantly improved (P<0.01).
The Integration Path of the Long-term Mechanism of Industry-Teaching-Integrated School-Enterprise Cooperation and Digital Transformation of Private Colleges and Universities in the Post-Transfer Period
Authors: Huang Xiaoyan
Published: November 2024

With the rapid development of higher education in China, private colleges and universities play an important role in the field of education. In order to accelerate the development of private colleges and universities and realize high-quality talent cultivation, it is imperative to build an effective long-term mechanism of industry-teaching integration, collaborative education potential and the integration of digital transformation. In this paper, after establishing the rocket model of the long-term mechanism of industry-teaching integration and school-enterprise cooperation in private colleges and universities in the post-transfer period and the integration of digital transformation, we use a combination of in-depth interviews and questionnaires to collect data on the level of integration and the factors affecting it. The factor analysis model, Pearson’s correlation coefficient, and structural equation modeling are used to process the collected data to promote effective integration. The empirical results show that the current level of integration of the university’s long-term mechanism of university-enterprise cooperation for industry-teaching integration and digital transformation is at an average level, with a mean value of about 0.35, which still has a large room for progress, and government-led, industry guidance, enterprise participation and school promotion all significantly affect the level of integration (P<0.05). Effective mechanism construction can achieve a close combination of integration with digital transformation, improving the teaching quality and student’s employment competitiveness in private universities.
Exploring the Communication Path of Modern and Contemporary Literary Works Based on Corpus Analysis in the Perspective of Digital Humanities
Authors: Zhang Airong
Published: November 2024

This paper adopts corpus, named entity extraction and word frequency statistics and other corpus analysis methods, combining quantitative analysis with qualitative analysis, to organize the international award-winning works and comments of past, present and contemporary literature to form a corpus. Then, using relevant analysis software, the information about word frequency, subject words, and collocations is counted to obtain the characteristics of literary phrases and their dissemination paths. Through the sorting of literary communication paths and the realistic investigation of the current netizens’ acceptance of literature, the shift of the current literary communication paths has been verified. The results show that among the top 30 high-frequency keywords, “international”, “Internet”, “mobile text”, “digitalization”, etc. appear. With word frequency values of 0.059, 0.048, 0.035, and 0.020, respectively. In different age situations, the choice of the path of literary acceptance has a big difference. 72.4% of the 30-to-40-year-old group chose the cell phone text path. While the difference in economic conditions is not obvious, the percentage of cell phone paths for different education levels is more than 65%.
Discussion on the Importance of Ideal Conviction Education from the Perspective of Marxist Philosophy
Authors: Ma Tingting
Published: November 2024

Ideals and beliefs are the spiritual pillars of a country, nation and political party. Firm ideals and beliefs are a fundamental issue concerning the spiritual strength and future destiny of Marxist political parties and socialist countries. In this paper, we refer to the relevant studies on the development of ideal belief education from the perspective of Marxist philosophy and design a questionnaire on the degree of ideal belief education and the quality level of students. After counting the data collected from the questionnaire, Pearson’s correlation analysis and multiple regression analysis are used to investigate the influence of the degree of ideal belief education on the quality level of students from the perspective of Marxist philosophy. The results show that the scores of the degree of development of scientific and cultural quality education, meaning of life education and faith education in ideal belief education in the investigated colleges and universities are all slightly higher than the average level. There is a significant positive correlation (r=0.304-0.867) between the development of ideal belief education and the various qualities of students as well as between the dimensions, and it is found that the degree of development of ideal belief education explains 55.7% and 56.8% of the variance of the students’ ability quality and physical and mental quality, which proves the importance of the development of ideal belief education. Colleges and universities should continuously summarize their experience, improve their weaknesses, and adjust their strategies in the future to implement the ideal educational approach for college students.
Research on the Diffusion and Evolution of Ethnic Traditional Sports Culture Based on Spatial Diffusion Modeling
Authors: Chen En
Published: November 2024

In the long history of five thousand years, various ethnic groups in China have created wonderful traditional sports programs, such as archery, horseback riding, martial arts, dragon boat racing, etc., which have formed a national sports culture with profound humanistic values and aesthetic connotations. The study first constructs a spatial diffusion model based on the GIS field model and object model and extracts the cultural spatial diffusion pattern. Then, taking Yang-style Taijiquan, a national traditional sports culture, as the research object, a spatiotemporal database of events is constructed to visualize the spread of this culture. Finally, we explored the differences in the evolution of Yang-style Taijiquan in cities of different sizes and aging levels through ANOVA. Yang-style Taijiquan has significantly more gyms in large cities than in small cities (P<0.05), which is more advantageous for development. With the aging level deepening, the demand for Yang-style Taijiquan among older people showed an inverted “U” pattern, indicating that Yang-style Taijiquan has some limitations in coping with the higher aging level.
Exploring the Role of Artificial Intelligence in Multimodal Cultural Communication and Identification
Authors: He Yu
Published: November 2024

Artificial intelligence technology has unique advantages in processing multimodal information such as images, videos and sounds, and plays an important role in the process of enhancing the effect of multimodal cultural communication. The Page Rank model is used to identify communication subjects based on the role of key communication subjects in cultural communication, as proposed in this paper. A genetic algorithm is utilized to improve the traditional neural network algorithm, so that it provides more accurate prediction results and countermeasures in the process of promoting cultural communication. The analysis shows that the OLMT algorithm has an average accuracy of 94.56% in a specific identification interval. The difference between the expected and actual output values of the improved neural network algorithm for the test samples was less than 0.7.
Research on the Innovation of Cross-border E-commerce Enterprise Management Mode Based on Big Data Analysis
Authors: Ma Ruixue
Published: November 2024

With the rapid development of information science and technology, enterprise management gradually began to rely on information science and technology, the change of management mode to promote the development of the enterprise economy. This paper focuses on innovation in cross-border e-commerce enterprise management mode to conduct the main research. The article first puts forward the cross-border e-commerce management innovation mode based on big data analysis and then uses the data mining method to analyze the funds and economic data of each subsidiary of the e-commerce enterprise and discovers that all kinds of dimensional data correlation, based on the clustering results, found that the relationship between enterprise orders and enterprise earnings is not positively correlated, and the relationship between earnings The relationship between total amount and social accumulation rate is positively correlated, and so on. Subsequently, we consider cross-border e-commerce enterprises as the research object. Based on the K-Means algorithm and Apriori algorithm, we use a Python tool to carry out association rule mining and clustering analysis on the company’s sales data and then visualize the results of the analysis: among the 30 agents of enterprise A, there are 2 very important agents, accounting for 4.22%. The number of important agents is 15, which accounts for 48.33%, and the number of general agents is 11, which accounts for 39.88%. Using the management model proposed in this paper can help agents with poor sales improve customer adhesion, and can provide effective decision-making assistance for managers.
Enhancing collaborative learning in psychoeducation through social network analysis
Authors: Song Ruguo , Li Wenjing , Li Tingting , Liu Xiaoling
Published: November 2024

Social network opens up a practical new path for psychoeducation and, with the help of a multimedia mobile terminal’s network, text sentiment analysis for students’ mental health problem revelation and constructing corresponding psychoeducation model. Based on the above viewpoint, this paper proposes a semi-supervised learning method for sentiment analysis using graphs. Specifically, a graph-based semi-supervised learning classifier is constructed using the “Weibo-Weibo” relationship graph. At the same time, social network and text similarity relationships are combined. A link between annotated and unannotated texts was established, and an optimization algorithm was used to solve the model, revealing the psychological problems of students under the emotional texts of social networks, thus constructing a corresponding “four-in-one” mental health education model, which enhances the collaborative learning of students and the four major organizations in psychoeducation. The accuracy, accuracy, recall, and F1 value are outperformed by the model in this paper by 2.44%, 2.11%, 1.45%, and 2.34%, respectively. The eight questions designed around the three dimensions of collaborative learning situation, learning effectiveness, and four-in-one teaching model were highly rated by students. The four-in-one teaching model that utilizes social network sentiment analysis effectively enhances students’ collaborative learning and improves their ability to solve psychoeducation’s difficulties.
Research on Color Intelligent Matching and Optimization of Traditional Art Colors in Modern Visual Communication Designs
Authors: Wang Qin
Published: November 2024

This paper provides a detailed description of the key technologies of the ICC color management system, including device color matching, adaptive color gamut matching, and the color beauty optimization algorithm. A series of engineering experiments of color matching and cyclic optimization were carried out, and the case study method was used to obtain evaluation indexes such as color difference, color gamut, visual effect, and PBI index value and explore the advantages of ICC color management system application. The results demonstrate a significant reduction in the color difference value of the color block before and after the intelligent matching output, typically by 2–6 times. The maximum color difference in primary and secondary matching is no more than 4, and the color matching degree increases, indicating that intelligent matching is effective. In the interior decoration design case study, the PBI index increased from less than 50% to more than 50% after the optimization of the ICC color management system, while the mean value of the overall evaluation was higher, and the subjects were more agreeable to the design color evaluation.
Exploring the role of artificial intelligence in psychoeducational personalized learning environments
Authors: Wu Xiaoyu
Published: November 2024

In the deepening educational changes, personalized education has become a topic of great concern. The study mainly explores the use of artificial intelligence technology to construct a personalized learning environment and uses the assessment of learning performance in psychological education as an entry point for specific analysis. Comparative experiments are conducted to test the feasibility of improving the standard ant colony clustering algorithm to construct a model for psychological education performance assessment. The personalized learning system is then constructed with the performance assessment model, and students majoring in psychological education in a certain school are selected to conduct teaching experiments to explore the influence of the personalized learning system based on the improved ant colony clustering assessment model on psychological education. The grades of psychological education classes classified using the model of this paper are normally distributed, and it is reasonable and objective to use dynamic student achievement clustering to evaluate their grades. After the teaching experiment, students in the practice group were overall 2.98% to 6.72% higher than students in the other group in psychoeducational learning achievement, technology acceptance, and satisfaction, and 28.14% lower in learning anxiety. The personalized learning system designed in the study was able to improve students’ psychoeducational learning performance and experience, and reduce their learning anxiety, resulting in positive experimental results.
An integrated analytical approach for multimodal remote sensing data in marine ecosystem damage early warning
Authors: Yang Min
Published: November 2024

With the rapid economic development, the increase of human activities in coastal areas, the continuous discharge of pollutants from land-based sources into the sea, and the increase in the protection of offshore by the sea-related management departments, the judgment of early warning level of marine ecosystems is therefore of great significance. The article is based on the survey and monitoring data of Ocean A in 2022-2023 and utilizes MNDWI and Otsu to extract marine multimodal remote sensing data. Then, the environmental status of A ocean is analyzed. By constructing the early warning indicator system of A marine ecosystem based on the P-R-S model and exploring the integrated analysis method of BP ANN in the marine ecosystem, the condition of A marine ecosystem was warned, and the results were analyzed. The results show that from 2020 to 2023, the degree of sustainable development of A marine ecosystem will be in the state of “light warning”-a strong degree of sustainable development.
User Behavior Analysis and Prediction Model Construction in Higher Education Management Information Systems
Authors: Yu Shanshan , Zhong Lihua , Liu Yuwang
Published: November 2024

The education management system is an important tool for universities to manage academic information and information of staff and students. The article constructs a user behavior analysis model based on machine learning and a user behavior prediction model based on LR-XGBoost to analyze and predict user behavior in the educational management information system of colleges and universities. Specifically, after the collection of user behavior data in the university education management information system, descriptive statistics and cluster analysis are performed. Then, the relationship between user behavior and dropout/leaving is explored by the LR-XGBoost model, and the prediction performance is tested by comparing the prediction accuracy of the prediction model with other models. Cluster 3 users had significantly higher means on 12 behaviors in the college education management information system than those in clusters 2 and 1. Among the 12 behaviors, only closing web pages had a p-value greater than 0.05 and did not pass the z-test. The LR-XGBoost prediction model had the best performance with an accuracy of 95.51% and 94.53% for behavioral prediction and anomalous behavior prediction, respectively, and F1 values of 92.34% and 95.33%, respectively. It has a clear overall advantage in predicting user behavior for the next 1-10 days.
Learning analytics in online education: data-driven insights into student success
Authors: Zhu Peixia
Published: November 2024

In order to gain insights into the key factors affecting students’ success in online education, this paper extracts students’ online learning behavioral feature indicators through the behavioral record data in the online learning platform, applies the attribute approximation algorithm based on the Bayesian Fuzzy Rough Set (IDB-BRS) model to attribute approximation of the behavioral indicators, and utilizes the improved Apriori algorithm to mine the association rules between online learning behaviors and learning effects. The improved Apriori algorithm is used to establish association rules between online learning behaviors and learning effects. In comparison to the VPFRS model attribute approximation algorithm, the IDB-BRS model attribute approximation algorithm does not necessitate pre-given parameters and achieves superior classification accuracy and approximation time in the Soybean, Credit, and Balance datasets, thereby offering greater practical value. The association rules reveal that students who carefully study course resources, actively submit assignments, and study online frequently contribute positively to their success in online learning. This paper holds significant implications for enhancing the effectiveness of learning in online education.
Research on Art and Design Talent Cultivation Mode of Vocational Colleges under Rural Revitalization Strategy
Authors: Yu Wenbin
Published: November 2024

This paper summarizes the characteristics and needs of art design talent training in colleges and universities under the rural revitalization policy and constructs the art talent training model under the concept of rural revitalization from the five dimensions of professionalism, nurturing, practice, assessment and regulation. Comprehensive rural revitalization policy and art design professional talent cultivation objectives, the design of the questionnaire, the questionnaire for the reliability test, followed by the formal distribution of the questionnaire, to obtain the data of the research satisfaction analysis, professional design data is derived from the scale test. The independent sample t-test is used to verify the effectiveness of the talent training mode in this paper. After analysis, it was concluded that there is a significant difference between the traditional training mode and the training mode of this paper in the students’ professional skills, P<0.05. In addition, the satisfaction rate of art design majors in the training mode of this paper is 49.5%. This paper aims to improve the integration of rural revitalization policy and art design talent cultivation in vocational colleges, thus laying the foundation for the development of art design talents.