bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the application of multidimensional data analysis in cross-cultural communication exchange research
Authors: Wu Feng 
Published: June 2024

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.