bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on cross-border integration diversification of music industry under the background of “Internet+”
Authors: Wu Yuanhui , Kang Weijia 
Published: May 2024

Abstract
The rapid development of China’s Internet industry has created the possibility of cross-border integration of the music industry in terms of capital, talent, information and other aspects. This study focuses on the characteristics of the network music industry, constructs a network music industry chain in line with the background of “Internet+”, and analyzes in depth the interactions between the components of the network music industry chain. Based on the interrelationships, the study puts forward the basic assumptions, sets up the revenue matrices of the variables, establishes three game models for copyright holders, service providers and users, determines the replication dynamic equations of the model, the evolutionary stabilization strategy and the Nash equilibrium, probes the stability of the model’s evolution, and carries out the case study on the cross-border fusion of the music industry. The results show that with the increase of management and technology costs, the rate of service providers’ evolution towards self-regulation slows down, and when P
B
2 exceeds 8 the behavior of service providers changes, and the control of the cost of payment is particularly important. This study objectively presents the value of copyright cross-border operation in the music industry, reduces the basis of operating costs, ensures the smooth realization of the economic goals of the music industry, and promotes the music industry to embark on the road of healthy and stable development.
Research on the Path of English Translation Teaching and External Communication Based on the Multimodal Analysis Method
Authors: Zhang Cui 
Published: May 2024

Abstract
With the development of the times and the continuous innovation of modern education technology, the multimodal theory is developing deeply in the field of education. The first step in this study is to use the optimization principle to select modes that meet the needs of English translation teaching and then develop a multimodal analysis framework for external communication that incorporates multimedia communication methods. Then, we constructed an emotion recognition model for English translation teaching by using speech recognition and expression recognition combined with convolutional neural networks for the students’ classroom situation and attitude and carried out the empirical analysis. The recognition accuracy of the emotion recognition system constructed in this paper is 86.4%. In the multimodal analysis of English translation teaching, the teacher who uses the linguistic modality type for the most number of times 387 times, and the teacher who uses the mixed modality for the most number of times 271 times, the students have the best classroom status. It has been stable at about 5 points, which is a “more positive” state. The students in the class had the highest level of motivation. Through the analysis, it is found that multimodal teaching can effectively improve the students’ status in class and keep their attention, which verifies the appropriateness of the external communication path combined with multimedia communication in multimodal English translation teaching. It provides a practical path for the development of English translation teaching.
The Establishment and Quality Improvement Effect of Physical Education Teaching Evaluation System in higher education institution
Authors: Yu Zhihua , Xing Yu , Liu Haoyan 
Published: May 2024

Abstract
The assessment findings are given too much weight in the current system of evaluation for physical education instruction at higher education institutions. In contrast, the method of teaching and students’ basic health literacy are given insufficient weight. To address this phenomenon, this paper utilizes educational evaluation theory, fuzzy comprehensive evaluation theory, and multiple evaluation theory as the basis for setting up the higher education institution’s physical education teaching assessment system. Three first-level indexes comprise the entire index system, namely, “condition quality,” “process quality,” and “result quality.” Through fuzzy comprehensive evaluation, hierarchical analysis, and genetic algorithm, it is determined that the “process quality” is the most important factor. The “process quality” has the highest weight coefficient of 0.4419, which enhances the importance of the physical education teaching process in higher education institutions. After determining the evaluation index system, the average physical education scores of X physical education classes in University H were calculated by conventional teaching evaluation means and the evaluation means established in this paper, respectively, and compared and analyzed. The difference between the two final average scores was 2.9, which was attributed to the fact that the multivariate evaluation means paying more attention to the core literacy of students’ health. The standard deviation of the statistical results is 2.3, and the skewness, kurtosis, and S-W test values meet the statistical requirements and satisfy the normal distribution, which is thorough and scientific and can encourage academic institutions to pay more focus on how they teach and students’ fundamental physical literacy. These institutions can enhance their instruction by implementing the evaluation system established in this paper, which will improve the quality of instruction and learning in higher education sports.
Proposal and evaluation of a combined refrigeration system for engine waste heat recovery based on a supercritical CO2 Brayton cycle
Authors: Wu Zhendong , Chen Chunxiang 
Published: May 2024

Abstract
In recent years, engine waste heat utilization technology has become one of the essential directions for green energy-saving development. In this study, the design of a combined refrigeration system for engine waste heat recovery under a two-stage supercritical carbon dioxide Brayton cycle is carried out, and based on the engine top-cycle energy flow and reactive flow characteristics, combined with thermodynamic and economic analysis models, the thermal and reactive efficiencies of the S-CO_2 Brayton cycle system are investigated. The multi-objective optimization model for waste heat recovery was created with hydropower efficiency and investment return as its objectives. The results showed that the minimum values of annual operating cost and initial investment cost of the combined system under the optimized conditions were 104.8 and 505.2 thousand RMB, respectively, and the total system energy loss was 7.25%. By further analyzing the top cycle parameters of the combined system, it is concluded that the combined system has better thermo-economic performance, and the results can provide some references for the combined refrigeration with engine waste heat recovery.
The positive significance of ideological and political teaching in colleges and universities based on HOG feature extraction to college students’ innovation and entrepreneurship
Authors: Li Yangfan , Su Dongmin 
Published: May 2024

Abstract
This paper designs an intelligent ideological teaching model integrating innovation and entrepreneurship education under the guidance of the “6C+6E” theory. In this model, the features are first extracted by the convolution operation of the student face image through the Gabor algorithm. The features extracted by HOG algorithm based on integral graph are concatenated to get the fusion of student face features. Then SVM algorithm is used to classify and recognize the student’s facial features. In the classroom, applying this ideological and political teaching mode, the overall concentration situation of the class reached 0.9988 points at the best time. In contrast, the concentration of the traditional innovation and entrepreneurship teaching classroom were all lower than 0.4 points, and the highest rate of students’ heads up in the overall classroom reached 98.19%. After the implementation of the teaching, there is a significant change in the mean score of students’ awareness of entrepreneurial value (P=0.011<0.05) and understanding of entrepreneurial business opportunities (P=0.016<0.05), which has increased by 50.45% and 36.41% relative to the pre-implementation of the teaching. The Civics teaching model constructed in this paper lays the foundation for the effective development of innovation and entrepreneurship education in colleges and universities and provides a reference basis for the improvement of students’ innovation and entrepreneurship awareness.
Spatial layout and optimization of e-commerce logistics management based on combinatorial optimization algorithm
Authors: Ma Hao 
Published: May 2024

Abstract
Warehousing space layout is crucial for e-commerce logistics. A refined and scientific approach to warehouse design enhances space utilization and operational efficiency. This minimizes unused space and idle time, lowers inventory costs, and strengthens the competitive edge of e-commerce logistics. In this study, we conceptualize the logistics space layout issue as a crate problem, harnessing the rapid optimization capabilities of genetic algorithms (GA) and simulated annealing (SA). We propose a hybrid algorithm where SA forms the core, using GA to generate initial solutions and new iterations. Design parameters for the combined operation process are systematically developed. This algorithm is evaluated using both datasets and real arithmetic cases, demonstrating superior performance in large-scale combinatorial optimization problems. It achieves a search accuracy of 0.5% to 3% higher than GA alone, converging more reliably to the global optimum, thus reducing search time and operational scope. This research offers vital theoretical insights for optimizing space layouts in e-commerce logistics management.
A Study on the Influence of Higher Education Foreign Language Teachers’ Intercultural Communication Competence on the Dissemination of Chinese Excellent Culture
Authors: Wei Xinyu 
Published: May 2024

Abstract
This study employs gray system theory to refine the multiple linear regression model, resulting in the development of the gray multiple linear regression method. Utilizing School A as the primary subject, this approach involves gray scaling the intercultural communication skills of college instructors (independent variable) and the effectiveness of Chinese culture dissemination (dependent variable). This transformation aids in resolving the sequence of whitened background values for each variable. This transformation aids in sequencing the whitened background values for each variable. The regression coefficients are then calculated using the Cholesky method to determine the linear correlation between the variables and assess how intercultural communication skills influence cultural dissemination outcomes. The analysis of the influence of college teachers’ intercultural communicative competence on the effect of cultural transmission found that the language competence of college foreign language teachers is related to “attitude toward learning Chinese excellent culture” (0.432) and “whether it is necessary to teach the idea of Chinese excellent culture in the classroom” (0.503) both have significant correlations. The analytical results of this paper provide a reference basis for promoting the wide dissemination of Chinese excellent culture, as well as a direction for improving the cross-cultural communicative competence of foreign language teachers in colleges and universities.
Synergistic Development of Chinese Language Teaching to Foreigners and Traditional Culture in the Information Age
Authors: Zhang Juan , Zhong Fangfang 
Published: May 2024

Abstract
This paper collects data on teaching resources and traditional cultural elements for the Chinese language teaching abroad platform and mines and analyzes the behavior of teaching Chinese as a foreign language. The association rule method is employed to analyze the correlation between Chinese language teaching and traditional culture based on the teaching data. According to the data, New Year’s Snacks (87.83 million) is the most-watched teaching video on YouTube, followed by Lotus Leaf Glutinous Rice Pork Ribs (67.74 million). Chinese cultural symbols (a total of 100) and Chinese cultural and artistic symbols were used more frequently (a total of 54), and optimal teaching aids were selected for different categories of Chinese cultural symbols. This study successfully explored the association relationship between traditional culture and Chinese language teaching to foreigners, providing a basis for the synergistic development of the two.
Research on the Value and Path of Education in Civic and Political Education in Colleges and Universities
Authors: Zheng Binbin 
Published: May 2024

Abstract
All-embracing, all-round, all-encompassing parenting is an inevitable requirement for the implementation of the fundamental task of cultivating moral integrity and building a strong nation of talents. This paper constructs the “One, Two, Three, Four” Civic and Political Parenting Work Model based on the idea of three-pronged parenting. It establishes the evaluation index system based on its educational value. The weights of the evaluation indexes are solved by the structural entropy weighting method. Finally, a comprehensive evaluation of the effectiveness of the educational value of the university’s civic and political education work is carried out by combining with the TOPSIS method. In addition, this paper introduces the multiple linear regression model with great likelihood estimation to analyze the influencing factors of the educational value effectiveness of the work of ideological and political education in colleges and universities. It also takes ten colleges and universities in the university city of S province as research objects. It explores the educational value and effectiveness of their ideological and political education, as well as the influencing factors, respectively. The results of the study show that in the educational value effectiveness of the educating work, the difference in the weights of all-employee, all-round and all-directional educating is only 0.0061, and the relative proximity of the colleges and universities with the best performance of the educational value effectiveness is 0.654. For every 1 percentage point of enhancement to the construction of the faculty, the educational value effectiveness of ideological and political education work increases by 1.641 percentage points. Civic education needs to pay attention to the level of faculty construction to help teachers clarify the focus of civic education in order to promote the high-quality development of civic education.
Enterprise accounting services applying big data under the financial sharing model
Authors: Zhou Dianhong 
Published: May 2024

Abstract
This paper applies blockchain technology to design an enterprise accounting service system and designs an accounting framework containing four links: recognition, measurement, recording, and reporting. Focusing on the field of accounting measurement, it proposes a practical way to use blockchain technology in both monetary measurement and accounting measurement attributes. To confirm the impact of blockchain-based accounting, we developed a robustness testing approach. We analyzed data from publicly traded companies that implemented blockchain technology in their accounting systems from 2013 to 2023. Analyzing the effect of blockchain technology on the effectiveness of accounting service work finds that there is a significant correlation between the measure of Total Asset Turnover (TAT) and whether or not blockchain technology is applied (0.526). The regression result of the blockchain dummy variable as an explanatory variable is also very significant (0.004), and the robustness test after replacing the variables indicates that the conclusion remains unchanged. The empirical analysis shows that the ROE values of the corporate performance indicators of applying (16.52%) and not using (8.47%) the accounting service system show a highly significant difference (p=0.001), which indicates that the accounting service system is more effective. The accounting service designed in this paper provides a reference basis and data support for enterprise financial management. It lays the foundation for the application of blockchain technology in accounting services.
Exploration and efficiency assessment of the management model of higher vocational education with poa concepts
Authors: Gao Bo 
Published: May 2024

Abstract
Current vocational high school management practices suffer from low efficiency, mainly due to inadequate backing from pertinent educational theories. In this study, the POA concept is first used as a guideline for the innovation of the management mode of higher vocational education, and 30 provinces, cities, and autonomous regions in China are taken as the research objects. Then, based on the output and input indicators, we constructed the efficiency assessment system of education management, used the DEA model to make static measurements of education management efficiency in 2020-2022, and further analyzed the dynamic evolution trend of the efficiency of higher vocational education management by using the Malmquist index. According to the results, less than 50% of higher vocational colleges and universities are classified as non-DEA practical situations. For these higher vocational colleges and universities, their input redundancy and output insufficiency are analyzed, in which the two input indicators of total public expenditure and the number of administrative personnel of decision-making unit 1 are insufficient. The input insufficiency rate is 13.43% and 73.01%, respectively. According to the input and output of each higher vocational college or university, the corresponding solution measures are proposed to improve the efficiency of educational management of higher vocational.
Big data analysis and application of library information resources
Authors: Zhang Xiuwen , Zang Luyan , Bai Wan , Liu Hongxing 
Published: May 2024

Abstract
This study explores the application of extensive data analysis to library information resources, focusing on enhancing the efficiency of resource utilization and user satisfaction through personalized recommendation services. We employ cluster analysis algorithms, and least squares support vector machines to model library users’ borrowing behaviors. Additionally, we use the Apriori algorithm and collaborative filtering to recommend books effectively. This study’s experimental outcomes show a notable 11.36% increase in the index of network resource demand satisfaction, indicating a significant enhancement in the library’s ability to meet resource update demands. The adoption of big data analytics has been instrumental in advancing library information management and expanding extensive data services. The findings underscore the pivotal role of big data in enhancing the efficiency of information resource utilization and elevating user satisfaction, mainly through personalized recommendations.
Exploring the Teaching of In-Class Practice Sessions in the Context of Big Data--Taking Chinese Language and Literature Major as an Example
Authors: Li Xue , Fei Hong 
Published: May 2024

Abstract
This paper establishes a comprehensive framework for the in-class practical teaching curriculum tailored to majors in Chinese Language and Literature. It comprises four core components: a system of practical teaching content, specified practical teaching requirements, practical training modules, and a target index system for practical teaching outcomes. Through the application of single-factor and two-factor analyses, this study investigates the correlation among course outcomes to refine the scheduling arrangements and the model itself. It introduces a scheduling process designed using a genetic algorithm, which is also employed to allocate instructors and courses within the practical course curriculum, calculating the average teaching hours per instructor. Additionally, the research examines the impact of students’ gender and their varying levels of comprehension regarding professional practice abilities on their practical skills in the field. Specifically focusing on the discipline-related practical activities in Chinese language and literature, the study identifies key courses within the major. Notably, it found a significant correlation coefficient of 0.691 between literary writing and literary appreciation courses. Moreover, the overall average for career development capabilities, based on different levels of professional understanding, is 3.9975, indicating that a deeper comprehension of career development in this major positively influences students’ practical skills in Chinese Language and Literature.
RPA-supported digital workforce in the field of statistical work in the electricity market
Authors: Li Mingli , Cheng Qilin , Luo Guozhong , Zhu Ming , Gao Fangping 
Published: May 2024

Abstract
How to count a large amount of data and information more efficiently in electric power statistics has become the main problem that electric power enterprises should pay attention to. For this reason, this paper proposes a study on the application of digital employees using RPA technology in the statistical analysis of the electric power market. Optimizing power market statistics is achieved by using the improved particle swarm algorithm SN-PSO, which is based on the fitness function and particle coding strategy to address the unbalanced load phenomenon. In AI-related technology, we create digital employees and conduct case studies on electricity market statistics by combining RPA technology with image recognition technology, NLP, and knowledge graph technology. The results show that the customers of the power supply company that show negative growth in electricity are mainly concentrated in the manufacturing industry (average value of 21.44) and the mining industry (average value of 7.36). In contrast, from the perspective of regional distribution, the negative growth rate of the customers in the large customers is mainly concentrated in the region of E and the remaining region of the large customers, which indicates that these two regions need to strengthen tracking management. This study improves the statistical work mode of electrical enterprises in the information age so that electric power enterprises and China’s market economy can develop better.
Deep learning models were used to analyze the relationship between music preference and radiability psychology characteristics
Authors: Ye Zi 
Published: May 2024

Abstract
In this study, we employed a Deep Belief Network-Deep Neural Network (DBN-DNN) model to perform personalized data analysis based on user-specific music preferences and listening behavior. This approach seeks to transcend informational boundaries and enhance the exploration and realization of the intrinsic value of data. We conducted a regression correlation analysis on a comprehensive dataset to investigate the potential relationship between college students’ music preferences and their personality traits, considering both musical and psychological dimensions. The study revealed that pop music (mean rating of 3.89), classical music (2.97), and hip-hop music (2.13) ranked highest in popularity among college students. Additionally, a significant negative correlation was observed between the preference for tension-rebellion-themed music in adulthood and the family’s socioeconomic status during childhood (-0.357). Furthermore, there was a notable positive correlation between openness to experience and preferences for classical music, popular music, and blues music (-0.864). A positive correlation was also evident between conscientiousness and preferences for classical music, light music (0.834), and traditional Chinese music. Thus, the DBN-DNN model coupled with regression analysis effectively elucidates the relationship between music preferences and psychological traits.