bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the application of multidimensional data analysis in cross-cultural communication exchange research
Authors: Wu Feng
Published: June 2024

Five thousand years of culture, precipitated by the wisdom of the Chinese people, is an important carrier of dialog and exchange between China and the world. At present, various data analysis methods are emerging and providing solutions to different research problems from a higher perspective. In this paper, through the construction of the Patterntrack multidimensional data analysis model, multidimensional scale analysis is introduced to process multidimensional data so as to achieve the requirement of an accurate analysis of cross-cultural communication and exchange. In the analysis of cross-cultural communication exchanges between Confucianism and Taijiquan, both of them come to conclusions that correspond to the actual situation. When testing the data set of cross-cultural communication and exchange on social platforms, the clustering effect of Patterntrack multidimensional data analysis is ranked first, with RI=0.8208, FMI=0.9223, and JC=0.813, which is much higher than that of the second-ranked clustering effect of the DBSCCAN analysis method. After optimizing the influencing factors analyzed by Patterntrack multidimensional data analysis, the number of visits to the website is 150% higher than that before the optimization, the amount of forwarding is improved to 71.69%, the number of clicks on the content after forwarding reaches 1,056, and the average number of times of reading for each article in the website reaches 3.1, which proves that after optimizing the relevant influencing factors, the attractiveness of the content is greatly improved.
Research on Optimized Allocation and Use Effect of Music Education Resources Based on MOOC Platform
Authors: Wu Xiaochun
Published: June 2024

The equitable distribution of educational resources epitomizes the essence of establishing a robust educational nation. Yet, the issue of unequal allocation of music education resources has largely been overlooked. This study addresses this gap by examining the current status of music resource distribution across colleges and universities in Province C. An objective function was formulated based on four key indicators reflective of music education resources. The Non-dominated Sorting Genetic Algorithm II (NSGA-II), a multi-objective optimization algorithm, was employed to optimize this function and develop a novel resource allocation strategy. Upon implementation of this strategy, the optimized resource quantities at the sampled institutions were observed as follows: 1,131 square meters of space, 809 books, 72 musical instruments, and 7 personnel. Subsequent evaluation of the changes in students’ musical performance, pre-and post-implementation, revealed significant improvements. Specifically, the average music performance score in the experimental group increased by 7.32 points, compared to a 6.63-point increase in the control group, with both enhancements statistically significant as per the t-test results. Further, a survey assessing the perceptions of teachers and students towards the newly implemented program indicated that 66.8% of respondents endorsed the revised allocation. Collectively, these findings suggest that the optimized allocation strategy not only facilitated the music education resource distribution but also garnered a positive reception and improved student outcomes in music, thereby contributing constructively to the overarching goal of strengthening the educational infrastructure.
A Strategic Study on Improving Targeting Accuracy of Marketing Campaigns Using Factor Analysis
Authors: Xiong Min , Li Yingxuan
Published: June 2024

Precision marketing emerges as a pivotal mechanism to foster market development, enhancing the market economy and propelling internal economic growth. This study collates data pertinent to marketing activities, standardizes the raw datasets to compute descriptive statistics such as the mean and variance, and constructs a correlation coefficient matrix under specified conditions. Through factor analysis, the structure of this correlation matrix is meticulously examined. Factor loadings are employed to elucidate the relationships between factors and variables, thereby establishing a link between the precision of marketing endeavors and consumer attribute variables for further analytical probing. To assess the impact of implemented marketing strategies on consumer response behaviors, this research develops a precision marketing model using the Uplift algorithm. This model innovatively addresses the challenge of individual causal effects—which are realistically unresolvable—by transforming it into estimating the conditional average causal utility derivable from observed data. The factor analysis feasibility test yields a Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy at 0.792, and Bartlett's test of sphericity attains a significance level of 0.000, indicating robust factorability. Subsequent tests on variance and principal factor extraction reveal that five variables—such as income, gender, and age—are common factors across the datasets analyzed. Application of the Uplift model to the MineThatData and MegaFon datasets further substantiates the efficacy of the proposed marketing model. Particularly, the results from the MegaFon dataset validate the comprehensive applicability of this model, demonstrating its effectiveness in real-world scenarios.
Construction and Effectiveness Evaluation of Smart Classroom for Civic and Political Education
Authors: Yan Shuang
Published: June 2024

A smart classroom is a new type of teaching mode based on dynamic data analysis, which is a major change in the teaching mode, and the application of smart classrooms in ideological education can significantly enhance the relevance and effectiveness of ideological and political education in colleges and universities. This paper constructs a smart classroom teaching model for college ideology and politics based on the theory and technology of smart classrooms and designs a smart classroom teaching evaluation model to assess its practical application effect. The model design is combined with the expert consultation method to establish a comprehensive evaluation index system and calculate the weights of each index. Finally, the evaluation of the actual application effect of smart classroom teaching is carried out. The results show that the weights of the two first-level indexes, namely, “scientific method” and “patriotism”, are the highest, respectively 0.5 and 0.5, and the weights of the two first-level indexes are the highest. The results show that among the first-level indicators, the two first-level indicators of “scientific method” and “patriotism” have the highest weights, respectively 0.214 and 0.186. The weights of “classroom performance”, “homework,” and “practical activities” are lower, respectively 0.077, 0.073, and 0.073. Applying this paper's Civics Smart Classroom Teaching Model to actual Civics teaching, the model evaluation results show that the scores of the secondary indicators have increased, of which “asking questions” has increased from 3.54 to 3.98, an increase of 12.43%. In contrast, the indicator of “ extracurricular activities” has risen from 3.54 to 3.98, an increase of 12.43%, and the indicator of “extracurricular activities” has increased from 0.077 to 3.98. Extracurricular activities” indicator rose from 4.36 to 4.47, an increase of 2.52%. This paper designs an intelligent classroom teaching model for college civic education with good practical application effects.
Design of Students’ Personalized Learning Paths under the Integration and Development of Technology and Basic Education
Authors: Zang Juanjuan
Published: June 2024

This study develops a framework for personalized learning path planning that incorporates individual students’ learning behaviors, current learner status, and mastery of knowledge points with varying degrees of difficulty. Utilizing a big data-driven model, the framework calculates the difficulty of each knowledge point specifically tailored for individual students. Subsequently, it assesses the learners’ current status through an analysis of historical learning records, enabling the strategic planning of personalized educational trajectories. Finally, the correlation analysis and independence test were used to compare the differences in students’ academic performance, learning confidence, and learning needs between personalized learning and traditional learning modes. After using the personalized learning model, the student achievement outcome data showed F(1, 145) = 41.805, p = 0.013, η2 = 0.213. There was a significant difference in the personalized learning model on the students’ student confidence, F(1, 120) = 7.364, p = 0.021, η2 = 0.007. The customized learning pathway designed in this paper can promote the achievement of personalized learning goals for students.
The Construction of College Physical Education Smart Classroom under the Perspective of Teaching Reform
Authors: Zhang Tengyu , Su Lulu
Published: June 2024

With the continuous transformation of the form of education towards modernization and information development, the wisdom education mode will be the mainstream direction of information technology application in modern education, so the construction of wisdom classrooms has become a hot topic in education research. This study forms a symbiotic model of a multi-dimensional interaction cycle based on mutual ecological connectivity, which is based on the perspective of technological symbiosis. We developed a college sports smart classroom teaching model by deconstructing the intrinsic transformation rationale of the college sports smart classroom based on this basis. Meanwhile, in order to optimize the data detection and collection of the smart classroom, this study further designs a wearable physiological detection system to assist in the realization of the college sports smart course teaching mode. The physiological detection equipment used in this paper for heart rate, pulse rate, respiration rate, and blood pressure test correlation coefficients is higher than 0.5, and the error ranges are in line with the standard. In the teaching experiment, class A, based on this paper's wisdom classroom sports teaching in all physical quality tests are higher than the traditional mode of class B, the P value is less than 0.005, and the average value of the five interest indicators compared to the average value of the class B increased by 2.132. It proves that this paper constructs the college sports wisdom classroom model can cultivate and stimulate the interest of the students, improve the physical quality of the students, and make a positive contribution to the development of the college sports wisdom classroom. Development and positive contribution to the development of the college sports smart classroom.
Analysis of the Impact of ESG Performance on Financial Market Stability Based on Multivariate Statistical Modeling Perspective
Authors: Wen Qian , Shan Rui , Guo Minrui , Li Yuwu , Liu Jinmiao
Published: June 2024

ESG performance reflects corporate social responsibility, while financial market stability shows the dynamic changes of enterprises, and exploring the relationship between the two is of great significance to optimize the structure of financial market stability. In this paper, on the basis of combining the mechanisms of ESG performance and financial market stability, brand value is introduced as a mediating effect to analyze the mechanism of ESG performance on financial market stability and relevant research hypotheses are designed. The appropriate research model is established with 30 commercial banks in China as the research object through the use of a multiple linear regression model with weighted least squares estimation for parameter estimation. For the impact of ESG performance on financial market stability, empirical analysis is carried out using benchmark regression, mediation effect test, heterogeneity test, and robustness test. Every 1% increase in the ESG composite score of financial institutions increases financial market stability by 0.179%, and only the social dimension of ESG performance is significant for financial market stability. High-cost and small-sized financial institutions are more capable of lowering financial market risk, and the difference in the Beta value of ESG performance of financial institutions between the highest and lowest groups is 1.067, which is significant at the 1% level. Financial enterprises need to pay full attention to the contribution of ESG performance to the stability of the financial market in order to support the enhancement of their economic efficiency and the maintenance of stable and healthy development of the market.
Research on fault localization method of transmission line based on distributed monitoring
Authors: Wu Chenguang , Shao Qi , Li Gongming , Liu Shanfeng , Gao Yang , Zhang Qizhen
Published: June 2024

Transmission lines are the arteries of power system operation, carrying the important task of conveying electric energy, which is the most fragile and fault-prone place in the power system. This paper first analyzes the traveling wave propagation characteristics of transmission lines. It builds a mathematical model for the refraction and reflection phenomena of traveling waves that occur in the process of readjustment and distribution of transmission lines. The three traveling wave monitoring points nearest to the fault point are used to localize the fault, and the principle of the phase difference of split-phase current is explored based on the fault component. By means of experimental analysis, the phase currents of the three measurement points are detected, and for the transient current waveforms at the time of lightning strikes and short-circuits, the lightning fault localization method of the transmission line based on wavelet transforms is proposed and analyzed for fault localization of the technique. The results of simulation experiments show that when a ground fault occurs in the L1 phase of the line, the current fault components of measurement point 2 and measurement point 3 increase rapidly, and the element between measurement points is more than 10kA. The phase difference of the components is 180°, so the fault interval of the transmission line is from measurement point 2 to measurement point 3, and the fault phase is the L1 phase. Upon analysis, it is apparent that the actual fault distance error of 0.838km is the measurement of the fault distance of the transmission line, and the method proposed in this paper has a high level of measurement accuracy.
Research on transmission line dance analysis and monitoring technology based on fiber optic sensor
Authors: Wu Chenguang , Shao Qi , Li Gongming , Liu Shanfeng , Gao Yang , Zhang Qizhen
Published: June 2024

Transmission line dance is mainly caused by meteorology, geography, line structure and other factors, etc. Effective monitoring of transmission lines is conducive to ensuring the stable operation of the power system. The article analyzes the transmission line ice-covered dance based on the influence mechanism, the single degree of freedom, and the three degrees of freedom of the transmission line dance modeling. Combined with ANSYS software, the finite element model of the transmission line is designed, and the boundary conditions and loads of the model are set. The characteristics of transmission line dancing under different initial wind attack angles, wind speeds, and stall distances are analyzed by simulation software. A transmission line dance monitoring system was set up using distributed fiber optic sensing technology, and a tensile ice and temperature simulation experiment was devised to confirm its effectiveness. When the initial wind attack angle is 200° at the midpoint of the gear spacing, the amplitude of the dance in the torsional direction is only 0.25°, and the amplitude of the dance in the vertical direction reaches 3.62 m. The critical wind speed interval for the dance of the transmission line is 5~7 m/s. Under the condition of the transmission line overlying ice, the line is pulled off when the wire pulling force is 120% of the RTS, and the value of Brillouin frequency shift fluctuates between 10.03 GHz and 10.38 GHz. Fluctuating between. Fiber optic sensors are capable of monitoring the ice-covering stress and temperature changes of transmission lines and providing support for timely and effective measures against dancing.
Construction of a Multidimensional Assessment Model for the Communication Effect of Ethnic Community Ideology
Authors: Zhao Zheng , Wang Pengna , Jin Xin
Published: June 2024

Five thousand years of national history have forged the collective consciousness of the Chinese nationalities of solidarity, prosperity, and loss, and its effective dissemination has provided support for the thorough casting of Chinese national community consciousness. Starting from the core content, scientific connotation, and contemporary value of the national community consciousness, the article combines the Lasswell 5W model to innovate the communication pattern of the national community ideology. It establishes an evaluation index system for the communication effect. Taking China's major universities as the research object, the entropy value method is used to calculate the weights of the evaluation indexes, and a fuzzy comprehensive evaluation model of the dissemination effect of the ideology of the national community is established. Combined with the questionnaire data, the independent sample test and ANOVA are used to compare the differences in the ideology of the national community among college students. A multi-dimensional fuzzy comprehensive evaluation of the dissemination effect of the ideology is carried out. Whether college students have student cadre experience or not shows a significant difference at 1% level, the weight value of the indicator of communication content is 0.2734, and the comprehensive evaluation score of ideology communication effect is 7.32, which is in the middle-upper level. The ideological communication effect of the national community needs to be coordinated by the government, the media, the community, and colleges and universities to actively build a linkage communication situation in which the consciousness of the national community is “dominated by one party and coordinated by many parties”.
The expression of multimedia animation art design in the era of artificial intelligence
Authors: Yang Heng
Published: June 2024

Aesthetic rules are the basis of animation art design, combined with the user-centered design method is a new form of multimedia animation art design. This paper combines the existing three-dimensional animation art forms of expression, the use of points, lines, and surfaces to generate three-dimensional animation three-dimensional space, and selected virtual reality technology to achieve three-dimensional animation conversion. Based on ray tracing algorithm and radiance global illumination technology, to optimize animation scene realism, analyze the difficulties of rendering image styles. Combined with the Canny edge extraction algorithm to extract the target area contour, homogenization processing of local area coloring, fusion of the extracted contour and coloring area, the formation of animation style rendering, constituting the design of this paper three-dimensional animation art design expression. Analyze the rendering data of trees in a typical natural scene and use design evaluation indexes to assess the performance impact of animation scene art design. The average score for the animation scene expressing information content, the average score for the animation matching with the information, and the average score for the animation effect art and beauty are 7.672, 7.027, and 7.474, respectively. The scores indicate that the animation art design expression proposed in this paper can provide a more accurate depiction of the aesthetics of animation art.
The Inheritance and Innovation Path of Wuhua Tea Casting Opera Music under the Perspective of Chinese Modernization
Authors: Yang Jing
Published: June 2024

This study explores the dynamics of inheritance and innovation within opera, focusing specifically on Wuhua Caicha Opera, a key cultural asset in Lotus County. Utilizing a mixed-method approach that includes questionnaire surveys and field interviews, this paper systematically examines the current status of Wuhua Caicha Opera's transmission. We collected and analyzed data using a robust statistical model in SPSS, which integrates principal component analysis and stepwise regression techniques. The findings reveal that the self-factors and governmental influences on the preservation and development of the Wuhua tea-picking opera troupe in Lotus County have statistically significant impacts, with Sig. Values of 0.012 and 0.001, respectively. This indicates a notable effect of both intrinsic and extrinsic factors on the opera's transmission. However, less than half of the participants affirmed the current methods of heritage transmission, protection of cultural bearers, and innovation in the repertoire. The average scores for governmental influence on recognition were all above 3.6, suggesting a strong governmental role. The insights from this study provide empirical evidence that can guide policy formulations and support efforts to foster the sustainable evolution and transmission of Wuhua Caicha Opera.
Research on the Optimized Creation and Talent Cultivation Mode of Online Micro Short Drama under the Background of Industry-Education Integration
Authors: Yang Wen , Xu Weina
Published: June 2024

The ongoing evolution of the micro-short drama industry has led to increasingly sophisticated skill demands for professionals. In response, this study leverages the synergy between industry and education, employing Word2Vec and spectral clustering to develop a talent demand model predicated on text mining techniques for micro short dramas. A specialized talent demand dictionary was established to facilitate the analysis of job distribution characteristics and talent requirements within the micro short drama sector. This research introduces an optimized strategy for content creation and a novel approach to talent development for online micro skits. We conducted pedagogical experiments with students from four digital media classes across two academic levels at a university to assess the efficacy of this talent development model. The experiments specifically measured its impact on enhancing students’ abilities in micro skit creation. The results underscored interpersonal communication and content creation as the paramount skills in micro short drama, constituting 36.48% and 32.73% of talent demands, respectively. Post-experiment, the micro skit creation skills of students in the experimental cohort were observed to improve by 26.60% compared to their peers in standard classes and by 41.87% relative to their baseline capabilities prior to the experiment. These findings highlight the substantial benefits of the proposed talent cultivation model. The discussion in this paper addresses the refined strategies for creating and nurturing talent in networked micro short dramas, presenting a significant contribution to educational methodologies and scholarly discourse in digital media studies.
Coordination analysis of layout and visual color difference in responsive web design based on PS software
Authors: Yao Yuxian
Published: June 2024

In the new era of the “Internet +” economic background, people's aesthetic standards continue to improve, and there are higher requirements for web design work. This paper is based on the Bootstrap framework to design responsive web pages and utilizes the grid system in the Bootstrap framework to enable the automatic layout of web pages. Then PS software technology is applied as the core technology in responsive web page design, and PS software is used to detect and adjust the optimization of responsive web page layout and visual chromatic aberration so as to present users with coordinated, beautiful, and easy-to-operate responsive web pages. By designing eye movement experiments to collect and analyze the eye movement data of the subjects when browsing web pages, the average pupil diameter of the users showed a significant difference in browsing different web pages (P=0.014<0.05). The web pages designed by PS software were more appealing to the users and increased their interest in browsing web pages. The results of the psychological level showed that the subject users found the web pages created by applying PS software more impressive than ordinary web pages (P=0.004<0.01). This paper provides a useful guide for web page designers to enhance the visual experience for users when browsing web pages.
Design and development of human-computer interactive multimedia application software based on Python language
Authors: Yao Yuxian
Published: June 2024

Interactive multimedia systems have been widely used because of their good interactivity and flexible operation. In this paper, a support platform for human-computer interactive media applications is designed based on the three-layer model, which provides an efficient multimedia-oriented communication mechanism and a convenient development interface for application developers. The M/M/1 queue model is established by considering the load of nodes and links, and the average delay for error repair of the SRM and TORM protocols is calculated. Finally, the interactive performance of multimedia applications is examined through the construction of an experimental platform. The experimental results show that the interaction probability of selecting the distance range of 800~1200 mm is greater. The selection probability is more than 12.45%, and the interaction scenario built by Python language can effectively improve the interaction performance of multimedia applications.
Exploring the Application of Financial Indicator Prediction Models in Optimizing Tax Burden
Authors: Zhang Guojie
Published: June 2024

As economic globalization progresses unceasingly, the financial activities of enterprises are increasingly complex, paralleled by a concomitant increase in the intricacy of tax laws and regulations. Consequently, the tax risks faced by enterprises are becoming more pronounced. To predict the financial status of enterprises, a logistic regression model is created by combining relevant financial indicators. Considering the large amount of enterprise financial sample data, a Lasso-Logistic regression model is constructed, and the ADMM algorithm optimizes the model to improve the model's prediction accuracy. Finally, after using the ROC curve to test the validity of the constructed financial index prediction model, the A-share listed companies in the advanced manufacturing industry are taken as the research object of empirical analysis to analyze the relationship between the impact of financial indexes on tax burden. The regression equation for the standardization of tax burden is tax risk = -0.02341+0.03572 VAT effective tax burden +0.15451 income tax effective tax burden +0.21118 current ratio -0.26875 total asset turnover +0.06574 current sales revenue +0.02432 current cost of goods sold +0.13681 gearing ratio + 0.23708 Fixed Assets Change Ratio - 0.26895 Asset Size. Based on the analysis results, this paper proposes three optimization strategies for tax burden.
Analysis of the Sharing Mode and Effectiveness of Urban Community Sports Microgovernance in the Context of the New Era
Authors: Zhang Qian
Published: June 2024

Urban community sports microgovernance is an important support to promote a higher level of public service system for national fitness. The study first analyzes the sharing mode of urban community sports microgovernance, selects evaluation indicators of urban community sports microgovernance efficacy from multidimensional aspects, collects relevant indicator data from 10 communities in a city, and then conducts factor analysis and assessment of sports microgovernance efficacy by using the principal component analysis method. On this basis, the influencing factors of sports microgovernance effectiveness enhancement are summarized, and a qualitative comparison method is used to obtain the enhancement path of community sports microgovernance effectiveness. After analysis, the overall performance of sports microgovernance efficacy in the sample communities is better, with 60% of the communities having a standardized score above 0.5, and the best performance of sports microgovernance efficacy in community C2, with a score of 0.695. 5 sports microgovernance efficacy enhancement paths were obtained from the group analysis, which can explain 92.6% of the cases. Among them, sports governance standardization and enhancement of sports microgovernance effectiveness are necessary. Relevant departments need to grasp the core of sports governance standardization, promote multi-dimensional common governance and intelligent services, and make up the supply of venues and facilities to encourage the effective enhancement of community sports micro-governance efficacy.
The Intersection of Linguistics and Information Technology in the Global Communication of Martial Arts Culture
Authors: Zhang Zhiying , Ma Haipeng
Published: June 2024

In the course of global dissemination, Wushu culture encounters numerous linguistic challenges that significantly impede the translation quality and dissemination efficacy of its content. These challenges include terminology barriers, cultural heterogeneity, linguistic style conventions, and audience applicability. This paper initially explores the representation of natural language within computational systems and examines the foundational frameworks of language models. Subsequently, we algorithmically model the basic architecture of neural machine translation and text feature extraction. To address the gradient error issue in backpropagation, we employ the Long Short-Term Memory (LSTM) algorithm. Furthermore, we construct a neural machine translation model that incorporates an enhanced attention mechanism within the LSTM framework. To refine this model, we implement data augmentation techniques, aiming to optimize performance and improve translation accuracy in the context of Wushu's multifaceted linguistic landscape. On this basis, the translation effect of martial arts content is tested and simultaneously used to retranslate 40 pieces of the hottest overseas martial arts culture content. The quality of the translated text before and after retranslation is analyzed to analyze the enhancement effect of the model on the impact of the global dissemination of martial arts culture. It is found that the model in this paper has the best performance in both directions of English-to-Chinese and Chinese-to-English translation, with precision and recall scores of (0.908,0.876) and (0.915,0.922), and F1 values of 0.869 and 0.844, which make the performance stable. In the retranslation and translation quality test of popular martial arts video content, compared with the total penalty score of 1013.7 points before retranslation, the penalty score of the sample after retranslation totaled 246.2 points, a significant drop of 767.5 points, and this paper's model has a substantial effect on the retranslation of martial arts content. This study presents research ideas and practical methods from the perspective of information technology to enhance the global communication capabilities of martial arts culture and establish the international influence of Chinese culture.
Dance movement error correction based on decision tree algorithm
Authors: Yang Li
Published: June 2024

In an environment where action recognition technology is widely used, dance action recognition technology has also received extensive attention. Due to the complexity of dance movements, there will be a large number of errors in dance movement recognition. Therefore, this paper uses the decision tree algorithm to optimize dance movement recognition. In this paper, the general framework of dance movement recognition is first constructed, and the human body features are extracted and calculated by using the Laban motion analysis method for the changes in the joints of dance movements. Then, use the decision tree algorithm to classify and identify the dance movements, and use it to optimize the self-obscuring motion information repair algorithm to solve the problem of dance movement occlusion and error, and complete the construction of the dance movement recognition model based on CNN network. Empirical analysis shows that the model method's Top-1 and Top-5 accuracy are both 84.7% and 89.32%, respectively. The average probability of incorrect recognition, error recognition, and correct recognition of the optimized dance action recognition in this paper is 8.84%, 3.78 and 87.38 respectively. The average recognition correctness is improved by 12.02%, which indicates that the effect of recognition of the optimized model of dance action masking and error correction in this paper is excellent. It has achieved a better construction in the field of dance action error correction.
Research on the Construction of Vocal Music Teaching Resources Integration and Sharing Platform in Colleges and Universities under the Background of Modern Science and Technology
Authors: Jin Yuqi
Published: June 2024

The construction of the teaching resources sharing platform provides high-quality teaching resource retrieval and browsing channels for teachers and students in schools and the majority of off-campus users. This paper combines the functional objectives of the sharing platform design, analyzes the functional requirements of the sharing platform, and designs the overall functional framework of the platform with the advantage of cloud platform technology architecture. Gagne's classification theory of learning results is used to categorize vocal music teaching resources. Blockchain copyright protection technology has been selected to manage the digital resources of vocal music and optimize the privacy protection of users and resource copyright information. Design a user-friendly interface, update the learning interest model using the user interest model, form a personalized recommendation model based on students’ learning interests, and design a sharing scheme for vocal music teaching resources. Test the response performance of blockchain copyright protection and analyze the service impact of a college vocal music teaching resource-sharing platform from the perspective of learning support service. Most of the students have learning communities in the learning process, and the learning communities give the learners a “common identity” and emotional support services so as to achieve the purpose of the construction of a college vocal music teaching resources sharing platform.
A cross-enterprise collaborative production scheduling decision support algorithm with multi-agent support
Authors: Chen Lili , Yang Jianbing
Published: June 2024

This study harnesses the capabilities of intelligent agent technology to develop a framework for cross-enterprise collaborative production scheduling decision-making. It conducts a comprehensive examination of the business processes and production scheduling decisions encapsulated within this framework. The research begins by pinpointing the challenges inherent in cross-enterprise collaborative production scheduling. Subsequently, it introduces a genetic algorithm tailored for agent-based decision-making in this context and delineates its algorithmic parameters. The effectiveness of this approach is validated through a series of simulation experiments focused on a case study of cross-enterprise collaborative production scheduling from an agent-oriented perspective. The findings indicate that implementing the agent structure and genetic algorithms in a scenario involving ten workpieces and ten machines (10×10) results in a new job reach time of 30, a workshop load of 0.5338, and an average reduction in scheduling time of 11.60%. These results underscore the efficacy of the proposed agent structure and genetic algorithms in enhancing decision support for cross-enterprise collaborative production scheduling, thereby laying a scientific foundation for achieving heightened production efficiency through intelligent agent technology.
An Exploratory Study of Professional Issues Based on the Pain Points of Teaching Modular Projects
Authors: Cui Xing
Published: June 2024

The modular teaching mode has been introduced into many disciplines, especially in higher education, computer education, and other skill-based disciplines. The modular teaching mode is more widely used. Based on the modularization project, this paper explores the pain points in teaching, starting from the principle of modularization project teaching and listing the advantages of modularization project teaching. Based on the principle of modular project teaching, a diagnostic model for teaching pain points is proposed. The K-means algorithm is used to construct a student learning profile, analyze the students’ learning pain points, and design a modular project teaching model to address these pain points. Through experimental analysis, we verify the effect of the model on teaching pain point problems. The experimental class saw a rise in student performance from 104 to 110 points. The pre-and post-test academic performance of the experimental class is significantly different at the 0.05 level, as indicated by the significant difference of 0.001. In the case of improving learning interest, close to 70% of the students expressed greater interest in learning after learning from the teaching model proposed in this paper.
Exploration and Optimization of the Mode of Talent Cultivation for Industry-Teaching Integration in Higher Vocational Education in the Context of Information Technology
Authors: Deng Hao , Chai Deyi
Published: June 2024

This paper adopts the questionnaire survey method and fsQCA analysis method to carry out the empirical analysis about the path of talent cultivation of industry-teaching integration in higher vocational education. Through structural equation modeling to sort out the play mechanism and value realization status quo of applied industry-teaching integration talent cultivation, and accordingly put forward the realization path of the value of applied industry-teaching integration talent cultivation. After analysis, it can be seen that five efficient paths of industry-teaching integration talent cultivation are identified, among which the original coverage of Path 3 is 0.40604, indicating that the current way of industry-teaching integration talent cultivation is still dominated by large enterprises as well as application-oriented. The training content, conditions, and methods of industry-teaching integration have a significant impact on vocational abilities and personality qualities. The degree of influence of applied industry-teaching integration on professional knowledge and skills is between 52.1% and 67.8%, and the degree of influence on quality aspects, such as interpersonal skills, is between 74.9% and 86.3%. Therefore, the findings of this paper can provide a feasible path for enhancing talent through industry-teaching integration in higher vocational colleges and enterprises.
The Path of Integrating Traditional Music Culture into Piano Playing Teaching in the Background of Internet
Authors: Ding Wei
Published: June 2024

This paper proposes two primary pathways for online teaching and virtual music classrooms constructed using virtual reality technology and establishes a corresponding technical framework. In the online teaching mode, an online teaching platform is built, and an improved genetic algorithm is proposed for the intelligent grouping problem, which introduces the individual similarity elimination operation and incorporates simulated annealing to solve the problem of insufficient search capability. Meanwhile, in order to build a virtual music classroom, a dynamic light projection algorithm is proposed to reconstruct a three-dimensional model of human movement, and a multi-feature fusion algorithm is used to match the weights assigned to the human body's action gestures. In the evaluation of the teaching effect of the application of the technology framework, the piano art students are taken as the research object, and the experimental class and the control class are set up to carry out the teaching practice. In the evaluation of the learning effect, the completion degree of music and artistic performance of students in the experimental class was 83.65 and 82.66, which was significantly better than that of the control class (P<0.05). The overall degree of cognition, emotional attitude, and value recognition of traditional music culture was also significantly better than that of the control class (P<0.05).
Design and Application of Intelligent Library Intelligence Authentication System Based on Information Entropy Early Warning Models
Authors: Ji Ying
Published: June 2024

Identifying the authenticity of library intelligence has consistently posed a significant challenge in intelligence management. This paper aims to optimize the D-S evidence theory to address the issues of uncertainty, imprecision, and high conflict in library intelligence evidence fusion. To achieve this, DSmT is employed to extend the D-S evidence theory by eliminating the process of assigning conflicting information with normalization coefficients. Then, through the fuzzy information pseudo-feature analysis method, the library intelligent intelligence information entropy feature quantity is extracted, and semantic feature matching is used to construct the library intelligent intelligence true and false information recognition system. Finally, the recognition performance of the system is examined using a dataset to analyze the intelligence authenticity recognition of mis-spliced bacterial colony genomic data from a biological experiment that has been entered into the library intelligence database. Finally, it was found that the average recognition rate of this paper's system in the four classical datasets is 96.57%, which is higher than the 89.61% and 90.02% of the two evidence fusion classification schemes. The results of this paper's algorithm for high-conflict evidence are 0.9506, 0.0558, and 0.0097, reflecting the accuracy of the evidence support results. Finally, 35 colony genome splicing error intelligence were identified, of which 32 were genuine errors, with a precision rate of 91% and a recall rate of 94%. The library intelligence authenticity recognition system designed in this paper has excellent performance and provides an effective path and usable algorithmic model for library intelligence authentication.
Construction and Sharing Mechanism of Digital Vocal Music Teaching Resource Library
Authors: Kou Tingting
Published: June 2024

With the rapid development of information technology, the construction and sharing mechanism of the teaching resource base has become an important means of informatization of vocal music education. The article proposes the construction and sharing of a personalized teaching resource system based on a collaborative filtering recommendation algorithm, constructs a personalized recommendation module through the study of collaborative filtering, and further improves the personalized recommendation algorithm. Then, it elaborates on the relevant contents of user interest modeling, records and manages the user's interest, describes the user's potential interest needs, records the user's behavior by building a model, and finally analyzes the application of the teaching resource library. When the boundary value of request concurrency does not exceed 1000, the response time of the teaching resource library page is no more than 2.5 seconds. When the teaching resource library is used to process a file of 100MB size, the upload speed of the WebSocket method is 153s faster than FancyUpload. More than 70% of the students think that the use of the teaching resource library in the vocal music class can greatly enhance the effect of vocal music learning.
Research on Innovative Ways to Integrate Digital Media into the Development of Cultural and Creative Industries in Shanxi Province
Authors: Li Min
Published: June 2024

Cultural and creative industries are increasingly recognized as vital sectors in today’s global economy, and the advent of digital media has ushered in new avenues for enhanced development. This study explores the relationship between digital media technology and the progression of cultural and creative industries, with a specific focus on Shanxi. Utilizing the scale reward invariant BCC model within the DEA framework, this research assesses the developmental efficiency of Shanxi’s cultural and creative sectors. It identifies various decision-making units as benchmarks for the industry’s development, evaluating their comprehensive efficiency, pure technical efficiency, and scale efficiency, and proposes strategies for optimizing input and output metrics. Furthermore, the integration of the Tobit regression model with digital media technology allows for an analysis of the latter’s impact on the developmental efficiency of these industries in Shanxi. The findings reveal that the comprehensive efficiency of cultural and creative industry development in Shanxi is currently at 0.572. To achieve an effectively comprehensive level, there is a need to increase digital media technology input by 31.73% and reduce economic input and employment by 13.97% and 18.18%, respectively. The study demonstrates that a 1% increase in digital media technology usage correlates with a 0.315 percentage point rise in the development efficiency of Shanxi’s cultural and creative industries. Consequently, Shanxi Province is urged to fully leverage its cultural resources, actively recalibrate the industry scale through enhanced use of digital media technology, and strive for a comprehensive efficiency that meets effective benchmarks.
Analysis of Teachers’ Roles and Skills in Teaching English in Colleges and Universities under the Rasch Model
Authors: Liu Liwen
Published: June 2024

The proficiency of English teachers in accurately understanding their roles and employing diverse teaching skills is crucial for enhancing the quality of English instruction. This study utilizes the Rasch model, a component of the Item Response Theory (IRT), to develop assessment scales aimed at evaluating English teachers’ role orientation and teaching skill levels. We selected 267 English teachers from higher education institutions in X province as participants. The assessment instruments, designed around these scales, were disseminated via the Questionnaire Star platform and analyzed using Excel and SPSS software. This research examines the application of the Rasch model in assessing the role orientation and teaching skills of English teachers. It specifically investigates the scales’ unidimensionality, goodness of fit, and scoring quality across various levels. The results from the unidimensionality test of teachers’ role orientation skills yielded weighted fit values ranging from 0.90 to 0.97, with logit results for teachers’ role orientation skills spanning from -2.065 to 4.651. Furthermore, the loadings for teacher skill levels remained within the acceptable range of ±0.6. Interestingly, the discrepancy between the logit values of the strictest and most lenient teacher raters was significantly smaller (1.189 logits) compared to that of student raters, which was 2.562 logits. The findings suggest that employing the Rasch model to analyze English teachers’ role orientation and skill levels can significantly support the enhancement of teachers’ capability to grasp their educational roles and improve their teaching skills.