bluuebunny/crossref_metadata_2025_split huggingface dataset:
STUDY OF THE ACOUSTIC ENVIRONMENT OF MODERN MULTIFUNCTIONAL COMPLEXES
Authors:   Department of Architectural Design and Engineering, Lviv Polytechnic National University, Shuldan Larysa , Pavliukovych Veronika ,   Department of Architectural Design and Engineering, Lviv Polytechnic National University, Salyuk Oleh ,   Department of Architectural Design and Engineering, Lviv Polytechnic National University
Published: May 2024

This article examines the issue of acoustic comfort and noise pollution within multifunctional residential complexes in Lviv, where public facilities are situated in the ground-level space. The relevance of such a study is confirmed by numerous scientific conclusions that excessive noise exposure negatively affects human health, while this problem remains poorly understood and ignored in Ukraine.	According to the research method, 5 multifunctional complexes were selected in different parts of Lviv. Within these complexes, 5–6 points were installed, and measurements were made using the RFT 00 014 pulse sound level meter on different days and at different times of the day. The choice of points was primarily based on the geometric shapes of the buildings (shape breaks, confined spaces, etc.)	According to the results of the field measurements, it was found that most multifunctional complexes comply with the state standards for acoustic comfort, but some buildings were exposed to excessive noise load. Hence, a multitude of regularities and correlations were established between the excessive sound level meter values and the characteristics of these complexes. For example, buildings with a closed, perimeter form of construction provide noise reduction of up to 15–20 dB, but its effectiveness can be reduced due to large through passages and traffic directly next to the building. Moreover, the impact of reverberation within such covered courtyards remains unclear, as a cursory analysis shows that playground activity causes an increase in noise of 5 to 15 dB, but the sample size of this study is not sufficient to draw objective conclusions. In addition, the road surface material is an important factor, especially in the context of historic city centres where it is made of basalt paving stones. Traffic on such roads generates a much higher noise level than traffic on asphalt.	Following these results, several possible solutions to the noise load problem were analysed, and the importance of conducting similar studies in the future was proven.
Research on clothing brand image design and communication under the SMCR communication model
Authors: He Beilu 
Published: May 2024

Abstract
This paper utilizes the SMCR communication model to explore factors influencing clothing brand communication. We develop an evaluation model that assesses the effectiveness of these brands’ image communication, providing essential insights for brand design and communication strategy selection. The model employs a fuzzy comprehensive evaluation method for setting assessment criteria and an Analytic Hierarchy Process (AHP) to calculate the weight distribution of each index, forming a fuzzy affiliation judgment matrix. An evaluation system was constructed and applied to Chinese apparel brands, revealing that interest circles, online fashion bloggers, and video and live broadcasting websites are the top channels, accounting for over 50% of total brand image communication. In terms of preference, IP co-branded models, national fashion products, and tournament models are in the top three, accounting for 10.35%, 9.73%, and 8.86%, respectively. The comprehensive evaluation value of brand image communication effect in China’s apparel industry is 5.63, with a rating of “poor,” and there is still much room for improvement in apparel brand design and communication.
Research on the Composition and Growth Path of Digital High-level “Dual-Teacher” Teachers in Colleges and Universities
Authors: Hou Fangbo 
Published: May 2024

Abstract
The enhancement of “dual-teacher” teacher quality and digital teacher training represents a pressing need in the development of university faculty. This paper delves into the essence of “dual-teacher” teacher literacy. It proposes an optimized path for cultivating such literacy, culminating in the construction of a high-level “dual-teacher” teacher literacy pathway. To assess the effectiveness of this pathway, a fuzzy similarity matrix was formulated using fuzzy mathematical principles, and a clustering operation was conducted to categorize the identified indicators into an evaluative framework. Subsequently, an affiliation algorithm was employed to determine the index weights within each layer of the constructed system. The results reveal that the educational and teaching competencies hold the highest significance in the “dual-teacher” quality pathway, with a weight of 0.3681, emphasizing their paramount importance. This is closely followed by the technical skills of the teachers, which weigh 0.3013. Moreover, a comparative evaluation of professional practice abilities before and after pathway innovation showed a notable increase from a mean value of 2.16 to 3.41, with a statistically significant p-value of less than 0.05. This substantial improvement in both practical and theoretical educational capabilities underscores the efficacy of the proposed “dual-teacher” literacy pathway. The evaluation provides a structured and comparative analysis of the outcomes, demonstrating the pathway’s impact on enhancing teacher quality within the academic context.
Cultivating the Spirit of Aesthetic Education in Vocational Undergraduate Colleges in the Context of Artificial Intelligence
Authors: Jiang Lijie , Zhang Ping 
Published: May 2024

Abstract
The fusion of aesthetic education with vocational training constitutes a necessary evolution dictated by both societal progression and the demands of contemporary times, with each element enhancing the other. This study proposes a pathway for the construction of aesthetic education courses tailored to the current educational objectives of vocational undergraduate institutions. It also introduces a teaching model designed to foster aesthetic sensibilities structured around the ADDIE instructional design framework. Moreover, this research employs the 2023 student cohort from HZ Vocational College as subjects for a comparative experimental study to empirically analyze the effectiveness of the aesthetic education teaching approach. An enhanced clustering algorithm, which integrates multi-point optimization, was applied to assess the development of students’ aesthetic spirit. Additionally, a regression analysis model was used to investigate the various factors influencing the cultivation of this aesthetic spirit, providing a comprehensive analysis of the impact of the proposed educational interventions. The results show that after the teaching, the mean values of student evaluation, self-evaluation, parent evaluation, and teacher evaluation in the five aspects of recognizing beauty, experiencing beauty, feeling beauty, appreciating beauty, and creating the beauty of the students in Class A of the sample are higher than those of Class B by 4.90, 4.08, 3.40 and 4.13. Their p-values are all statistically significant at 0.000<0.05. The ADDIE-based aesthetic education teaching model can effectively cultivate students’ aesthetic spirit and provide important value references for the reform and development of aesthetic education.
Research on the Integration Strategy of College Music Teaching and Traditional Music Culture in the Context of Internet Plus
Authors: Kuai Weihua 
Published: May 2024

Abstract
The integration of traditional music culture into music education in higher education institutions is crucial for enhancing students’ musical literacy and cultural refinement and fostering cultural self-confidence. This paper addresses the integration of music teaching with traditional music culture, employing a coupled coordination degree model based on the CRITIC method to quantitatively assess this integration at a specific music college. Key influencing factors were identified across seven dimensions and were used as condition variables in a fuzzy-set Qualitative Comparative Analysis (fsQCA). The analysis indicates that the current level of integration at the institution is critically low, categorized as “endangered dysfunction,” with an average coupling coordination degree of 0.478. The fsQCA identified four distinct pathways, accounting for approximately 82.6% of the variance in integration levels. To enhance the integration of music teaching and traditional music culture effectively, institutions should focus on several strategic dimensions: curriculum development, instructional materials, interactive teaching methods, technology integration, faculty development, the incorporation of traditional music cultural practices, and the promotion of scholarly research in traditional music culture. This multifaceted approach promises to significantly advance the integration process, benefiting both educational outcomes and cultural preservation.
The Creative Presentation of Color Elements in Chinese Painting Art under the View of Information Technology
Authors: Lei Wenfei 
Published: May 2024

Abstract
In this paper, Chinese paintings are scanned using a scanner under the same light conditions, and RGB format files are obtained. In order to ensure the accuracy of extracting the color elements of Chinese paintings through HSV color conversion of RGB format files and color-cutting processing based on fuzzy C-mean clustering on the premise of the extracted color elements, we explain in detail the application of the color elements of the art of Chinese paintings in the presentation of the creativity and the value of the Chinese painting art and carry out an example of analysis of the color elements of the art of Chinese paintings. The data shows that the highest choice of males for the perception of color elements in Chinese painting art is the “blue and yellow” option number of people accounting for 64.5% of the total. In contrast, the females in the color combination of the most choices with the same as the males, but accounted for a higher 71.5%, indicating that there is a difference between the perception of color elements in the art of Chinese painting for boys and girls, which sets out the differences in the perception of color elements in Chinese painting art for boys and girls. Boys and girls have different aesthetic views on the inventiveness of color elements in Chinese painting art, as evidenced by this. This study promotes the improvement of visual expression and creative presentation of color elements in Chinese painting art. Also, it has theoretical guidance value for the research and development of Chinese painting art information.
Digital Twin Technology Drives Innovation in Higher Education Management Mechanisms
Authors: Long Xiping 
Published: May 2024

Abstract
With the rapid advancement of information technology, the integration of digital twin technology into the higher education management framework has emerged as a critical challenge. This paper introduces an innovative mechanism leveraging digital twin technology to address key issues in higher education management. The mechanism incorporates a novel evaluation method that utilizes the benefits of fuzzy comprehensive evaluation over gray clustering to design the steps for fuzzy gray clustering. Subsequently, this study has successfully developed a higher education management evaluation model. M school has been chosen as the empirical study site to test the model concurrently. The findings indicate that in assessing the quality of higher education management, the distribution of weights across four primary indicators are as follows: evaluation and feedback (25.853%), teaching organization and design (25.125%), teaching content (24.873%), and teaching ability (24.149%). Notably, teaching organization, design, evaluation, and feedback collectively account for over 50% of the overall weights. Moreover, the implementation of digital twin technology resulted in a significant alteration in 70% of participant grades, with an observed increase in the proportions of A and B grades and a decrease in C and D grades.
Systematic Design and Effectiveness Enhancement of English Teaching in Colleges and Universities Combining Decision Tree Modeling
Authors: Ren Zhe 
Published: May 2024

Abstract
In the process of teaching English in colleges and universities, the variability of students’ performance and the factors affecting this variability have been considered by teachers and students. In this paper, data mining is applied to the systematic design of English teaching in colleges and universities, and the framework of the English teaching system in colleges and universities is constructed by improving the decision tree algorithm. The framework encompasses seven modules, from the login module to the personalized analysis based on the decision tree, which includes the entire process of English learning in colleges and universities. For the model in this paper, the total error rate of the training samples is 2.14, while the overall error rate of the test samples is 1.9. These errors are less than 10%, with high accuracy and stability. In the control test using the teaching system model in this paper, the total score of the experimental class is 5.21 points higher than that of the control class. The listening and speaking scores of the experimental class are significantly improved relative to that of the control class, and the difference between the two scores reaches more than 5. The experimental results show that the college English teaching model constructed in this paper has a significant effect on improving English performance.
The use of power information technology in fault diagnosis of electrical equipment
Authors: Feng Baozhen 
Published: May 2024

Abstract
As the electric power industry rapidly advances, diagnosing faults in electrical equipment has emerged as a critical challenge. In this study, we leverage advancements in power information technology to develop a method for extracting feature volumes, incorporating multiple characteristics to address mixed faults. Our approach begins with the application of a Backpropagation (BP) neural network to extract fault features from electrical equipment. Subsequently, we employ a Bayesian-optimized Correlation Vector Machine (CVM) classifier for precise diagnosis of mixed faults in transformer windings. We evaluated the performance of our BP-RVM model against traditional diagnostic models through real-world electrical fault diagnosis tests. The results demonstrated high diagnostic accuracy, with a maximum of 99.19%, a minimum of 96.41%, and an average accuracy of 97.73%, indicating a significant success rate in diagnosing types of electrical equipment faults. By providing new theoretical support and technical guidance, this study can improve the accuracy and efficiency of electrical equipment fault diagnosis.
Construction and Practical Application of Precision Evaluation System for Labor Education Teaching in Higher Vocational Colleges and Universities
Authors: Su Guohui 
Published: May 2024

Abstract
This paper builds a precise evaluation system for labor education teaching, and uses the Delphi method to test and eliminate the rationality of the indicators of the evaluation system to ensure the rationality of the evaluation system. The hierarchical analysis method is used to establish the hierarchical structure matrix of each index in the evaluation system and to calculate the weight value of each index in the evaluation system. Then, verify the fuzzy comprehensive evaluation set according to the weight value, calculate the value of each index system in the evaluation set, and calculate the comprehensive evaluation results using the weighted average type-bounded operator. The analysis of the precision evaluation of labor education teaching in Higher Vocational College A using this evaluation system reveals that the score of precision evaluation for labor education teaching in this school is low. Teachers lack precise guidance in teaching, and the average evaluation score of the indicator “quality of labor education for A32 students” is only 2.52 points. After implementing this evaluation system in labor education teaching, students’ performance in labor education has significantly changed. The average score of the experimental class is 27.13 points higher than that of the control class, with a significant difference (P=0.003<0.05). The evaluation system in this paper provides a reference for the evaluation of precise teaching of labor education in higher vocational colleges. It lays a foundation for improving the teaching quality of labor education.
Research on satellite overlapping covert communication method combined with CA
Authors: Li Hongwei 
Published: May 2024

Abstract
As electronic detection technology advances and the need for secure communication in terminal devices grows, traditional methods such as spread spectrum and overlapping communication are becoming inadequate for covert satellite communication. This paper introduces an enhanced approach by integrating the CA security protocol with satellite overlapping clandestine communication techniques. A network protocol stack, based on the TCP/IP reference model, is developed with a focus on the network layer and the data link layer. This study leverages the CSMA/CA key access technology at the link layer and proposes a method to mitigate interference in overlapping communication. It employs the LSTM algorithm to hypothesize the spectral posture of covert signals. It utilizes the least fitting degree method to minimize the impact of cover signals on the sub-spectrum of covert signals. The efficacy of this approach is assessed through simulation experiments, which provide a statistical analysis of the generated satellite overlapping covert signals. The results demonstrate a high anti-jamming probability, with complex envelope amplitude values ranging from 0.5 to 1.0, nearing a likelihood of 1. Additionally, the covert signals maintain a noise power spectral density similarity in the −2 to 2 Hz range, thereby enhancing their camouflaging effect.
Exploring the Integration and Value of Chinese Traditional Elements and Modern Clothing Design under Big Data Technology
Authors: Li Xun 
Published: May 2024

Abstract
Under the rich cultural background, clothing design should effectively integrate traditional culture to provide people with better quality clothing products and meet the demands of the development of clothing culture. This paper analyzes the classification and application value of traditional elements and explores the expression strategies and application steps of conventional elements in clothing design. Then, we use the VGG network as the basis and combine the semantic extraction network and style migration network to extract the styling features of traditional elements, introduce the OTSU algorithm to extract the pattern features of traditional cultural elements, and combine the improved K-Means clustering algorithm to extract the main color of conventional elements. The practice of clothing design was conducted using the Republican style as a source of inspiration, and the effectiveness of the mentioned methods and the application of clothing design were evaluated and analyzed. It was found that the color purity extracted by the improved K-Means clustering algorithm was about 2.5 times higher than the result of the octree method, and the testers’ ratings of the pattern and novelty of the clothing design reached 3.81 and 4.29, respectively. The technique allows for the effective integration of traditional elements extracted based on the method into modern clothing design, promoting more diversity in the visual expression of contemporary clothing design.
Research on Teaching and Dance Creation of Chinese Folk Dance in the Information Age
Authors: Liu Jianqiang 
Published: May 2024

Abstract
In this paper, we use motion capture technology to collect typical movements of Chinese folk dances and establish three-dimensional character models with the characteristics of human motion continuity and bone length invariance to discriminate the trajectory of skeletal movements. Video is used to export the data of Chinese folk dance. Design methods for extracting folk music and dance features to form a model for creating dances. Suppressing the noise of the original dance music, improving the accuracy of the fundamental frequency extraction of the music signal, and manually scoring the dance creation generation program are all benefits of using the Chebyshev filter. We propose the teaching method of Chinese folk dance in online broadcasting mode and carry out teaching experiments to compare the cooperative learning effect and dance technique evaluation effect between traditional dance teaching method and online broadcasting video lecture teaching method. The dance creation and generation program proposed in this paper is able to achieve a dance movement similarity of 0.92, which is able to preserve the original dance posture of Chinese folk dances to a greater extent. The results of the technical evaluation show that the teaching effects of the two teaching methods present significant differences in the four methods of basic technique, pair cooperation, dance expression, and total score, i.e., P<0.05, which shows that the online live video explanation method is more suitable for the teaching of ethnic folk dance in the information age.
Exploring the Inspiration of Creative Thinking by Somatic Rhythmic Method in Teaching Music and Dance Subjects
Authors: Liu Na 
Published: May 2024

Abstract
The somatic rhythmic teaching method has unique advantages in improving the quality of music and dance teaching. With the purpose of exploring its role in inspiring students’ creative thinking, this paper takes the junior high school students of X Middle School as the research object, firstly, through the questionnaire survey to understand the application of the somatic rhythmic teaching method in music and dance courses, and based on the current situation survey, we designed the somatic rhythmic classroom teaching method in music and dance teaching. Then, the control class and experimental class were selected to conduct the teaching experiment, comparing the students’ creative thinking ability and learning achievement before and after the experiment. After the practice of Somatic Rhythmic Teaching, the performance of students in the experimental class is 36.17% higher than that of the control class, and there is a significant difference between the two classes in the four dimensions of creative thinking (P<0.001), which makes Somatic Rhythmic Teaching enlightening to students’ creative thinking.