bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Art of Balancing Spatial Reconstruction and Cultural Heritage Preservation in Old Building Renovation
Authors: Chen Fen 
Published: July 2024

Abstract
The renovation and reuse of historical buildings not only helps to protect historical heritage but also promotes the development of tourism and cultural industries. The study combines web crawler technology and text mining technology based on the TF-IDF algorithm to capture art information related to the renovation of old buildings and cultural heritage protection from relevant articles and conducts in-depth perceptual analysis and sentiment analysis. On this basis, the balance measures of spatial reconstruction and cultural heritage protection in old building renovation are analyzed. Then, the evaluation index system is constructed and measured by using the G1-COWA combination assignment method to explore the balancing effect of spatial reconstruction and cultural heritage protection in the renovation of an old building. Components and perceptual evaluations related to the old building are the most important concerns, and both scholars and experts (64.84%) and the general public (72.65%) have a positive sentiment toward cultural heritage protection in the remodeling of old buildings. The overall score of the balanced effect of spatial reconstruction and cultural heritage protection of the old buildings in the sample is 6.570, which is a good level. Among them, the performance of improved use function, improved spatial environment, and improved social benefit is better. In the renovation of old buildings, it is necessary to pay attention to the balance of protection and renewal, integration and revitalization of cultural heritage to promote the balance and harmonious development of spatial reconstruction and cultural heritage protection.
Research on the Influencing Factors of Artistic Creation of Fine Arts Painting in the Context of Visual Culture
Authors: He Qing 
Published: July 2024

Abstract
The creators of fine art painting art are often affected by the conceptualization and imagination factors, expression techniques and methods, as well as the influence of theme and subject selection, etc., and they are unable to commit themselves to the expression of artistic power and infectious power of fine art painting works. This paper constructs the PLS-SEM and BN combined structural equation model in the context of visual culture, analyzes the latent variables in the path relationship with PLS-SEM for empirical testing, and predicts and diagnoses the causal relationship between the variables with the Bayesian network. Finally, a questionnaire survey was conducted among the major fine art painting art creation groups in Guangzhou, China, and the influence factors of fine art painting creation were extracted using principal component analysis. The constructed model is combined with the collected data for empirical analysis. The β coefficients of the influence paths of the factors are all greater than 0.42 and significant at least at the 0.05 level, and the creative motivation, creative environment, personal artistic level, art industry environment, and painting artistic skill all positively influence the fine art painting artistic creation outcome. When the level of artistic achievement in art painting and drawing is “high”, the probability that the level of the art industry environment and creative environment is high is higher, with probabilities of 0.742 and 0.701. When the level of personal artistic level is “high”, the probability that the level of creative motivation is “high” is greater than 0.42 and significant at least at the 0.05 level. When the individual’s artistic level is “high”, the level of creative motivation is more likely to be “high,” with a probability of 0.726. This study allows the timeliness and dynamics of painting to be harmonized and linked with the painter and provides certain references for the improvement of the artistic skills and creative level of the creator of the painting.
Introduction to the inheritance and development of national music culture in the teaching of music education in colleges and universities in the Internet era
Authors: Jia Xiaoguang 
Published: July 2024

Abstract
Ethnic music culture is a rare and precious artistic treasure in all national cultures, and the inheritance and promotion of ethnic music culture is an essential part of music education teaching in colleges and universities. This paper delves into the characteristics of the development and dissemination of ethnic music culture in the Internet era, with the aim of studying the integration of ethnic music culture into music education teaching in colleges and universities through the use of Internet technology. Through the collaborative filtering algorithm, students’ preferences for ethnic music works are mined so as to recommend accurate teaching resources for college students on the ethnic music online teaching platform constructed based on the collaborative filtering algorithm. In order to fully prove the effectiveness of the teaching platform designed in this paper, the rough set theory and neural network algorithm are used to construct the online teaching quality evaluation model for college ethnic music. The questionnaire survey method is used to study the status quo of ethnic music teaching in colleges and universities, and it is concluded that at present, there are problems in ethnic music teaching in colleges and universities, such as insufficient concepts of students learning ethnic music and insufficient attention to ethnic music in colleges and universities themselves. Through the analysis of the effect of the recommended algorithm, the design of the evaluation index system, and the practical application, the quantitative assessment value of the teaching quality of the ethnic music online teaching platform designed in this paper in the practical application is 92.11, which indicates that the comprehensive rating of the quality of the ethnic music online teaching in colleges and universities in this paper is excellent.
Illustration Design Strategies of Idioms Series Supporting Primary School Language Textbooks in the Context of Artificial Intelligence--Taking “Picture Idioms” as an Example
Authors: Shen Kefei , Liu Yuxuan 
Published: July 2024

Abstract
Idioms have various compositions and are part of the long history and culture of the Chinese nation, with their unique ways of expression. In this paper, taking “Pictures of Idioms” as an example, we propose a strategy for designing illustrations for a related series of books on idioms using artificial intelligence technology. Using the LSTM model, the description of the given idiom text is realized to generate images. The generated images are processed by a decoder and fed into a neural network model to generate illustrations that match the description of the idiom text. Further, a diffusion model is proposed to improve the quality of illustration generation and diversify the illustrations by continuously adding conditions to the generation process. Taking “Picture Talking Idioms” as an example, we propose a design strategy for the illustrations of the Idioms series accompanying elementary school language textbooks and quantify the effect of practical application in terms of the design effect of the final product, the reading satisfaction, and the effect of the use of “Picture Talking Idioms.” Students were more satisfied with the use of blue-gray and blue colors in the illustrations in “Diagrams to Tell Idioms,” with ratings of 4.9 and 4.6, respectively. 52% of the students used the diagrammatic method of reading “Diagrams to Tell Idioms” and rated the knowledge content of the books in terms of idioms at 9.458, which is a high satisfaction rate of 98%. The use of diagramming idioms has been very effective in assisting with language text.
The Use of Digital Media in the Construction of Chinese Art Theory and Art Aesthetic Discourse System
Authors: Ma Junfeng 
Published: July 2024

Abstract
Based on digital media technology, this paper defines Chinese art theory and, at the same time, combines digital media technology and the characteristics of Chinese art aesthetic discourse to construct an art aesthetic discourse system that covers the stage of sensory experience and the stage of “emotional experience”. In order to promote the digitalization of the art aesthetic discourse system, the MCFF algorithm is used to extract the features of art aesthetic discourse, match the features, and then merge the features of art aesthetic discourse based on the weighted summing algorithm so as to achieve the digitization of art aesthetic discourse features. The art aesthetic discourse system in digital media is analyzed based on the research data. The results show that compared with the traditional algorithm, the algorithm of this paper is better than the traditional algorithm in three aspects: pre-emphasis (growth rate of 62.70%), frame-plus-window (growth rate of 68.71%), and data conversion (growth rate of 72.14%). In addition, the aesthetic experiences of landscape painting and figure painting were 96.49±8.4 and 108.00±9.35 points, respectively, and F(1, 20)=20.746, p<0.05, indicating that there is a significant difference in the sensory experience in the aesthetic discourse of art. This study can not only promote dialogue between art creators and scholars but also provide theoretical guidance and practical feedback for the future development of the art field.
Application and analysis of online and offline blended teaching mode based on online and offline in art theory course civics
Authors: Ren Ruiyao 
Published: July 2024

Abstract
In the context of the new era of socialism with Chinese characteristics, college, and university curricula need to reform the content of curriculum Civics and Politics in keeping with the times and introduce new era Civics and Politics elements into the curriculum content. The study integrates civic and political elements into the art theory classroom in a scientific and refined way according to the concept of civic and political curriculum. Then, data mining of students’ online learning behavior in online-offline blended teaching is carried out by constructing an improved Apriori algorithm. There is no significant difference between the midterm grades of the experimental group and the control group, and the mean score of the experimental group’s final grade is 10.55 points higher than that of the control group, and the significance P-value is less than 0.01. The experimental group and the control group present significant differences in the three aspects of artistic creation, artistic symbolism, and artistic content (P<0.05), and P>0.05 in the artistic genre and artistic performance, and the differences between the two groups are relatively small. There is a high correlation between the number of visits to the learning page, the completion of resource learning, the completion of chapter testing, and the learning effect, and there is no significant effect of homework submission initiative on the students’ learning effect.
Environmental Benefit Analysis of Social Responsibility Practices in Information Technology Companies
Authors: Li Yan , Zheng Atai 
Published: July 2024

Abstract
In the context of energy saving and emission reduction to protect the environment has become a social consensus, environmental benefit is a social responsibility that enterprises must actively undertake, and the technological advantages of information technology companies make them more equipped to enhance environmental benefits. Therefore, this paper proposes countermeasures for information technology companies to enhance their social responsibility and environmental benefits. To achieve practical countermeasures for energy savings and emission reduction, this paper proposes a method to improve the LSTM power prediction model using the Sparrow search algorithm for the company’s electricity management. The model optimizes the network structure of traditional LSTM by searching for parameters such as learning rate, iteration number, and the number of neurons in the two hidden layers of LSTM through the sparrow fitness function. The model proposed in this paper has an average prediction error rate of 3.32% in predicting the annual electricity consumption of a county for five years from 2018 to 2022. After an enterprise introduced the social responsibility practice countermeasures proposed in this paper, the company’s net profit margin increased by 12.2% on average, CO2 emission reduction was 963.2 tons, the average monthly electricity consumption was reduced by 24936.5 kWh, and the environmental performance score increased from 3.2 to 5.4.
Research on the Path of Enhancing Physical Education Teaching in Colleges and Universities in the Internet Era
Authors: Long Yanting , Liu Ping 
Published: July 2024

Abstract
This paper proposes a reform of the teaching methodology based on the exercise prescription course centered on intelligent exercise prescription recommendation and designs a specific implementation plan. A criterion function is used to determine and represent the constant terms of the user-set data using the K-means clustering algorithm. The personal data of users is added on this basis, and the attribute weighting is used to calculate user similarity and construct the user matrix. The core parameters of intelligentized exercise prescription are examined, and the relevant data of the exerciser group is obtained through modeling. The set of similar cases is determined, and the exercise effects in the set of similar cases are fused and calculated, and the effect level of the fused effects in the cases is discriminated. The model developed in this paper is implemented in the college physical education classroom, and the student’s attitudes toward physical exercise and fitness levels are analyzed. The results show that the attitude towards physical exercise behavior of students in group A is significantly better than that of those in group B. The significance test (F = 7.985, Sig = 0.005) is less than 0.05. Taking the 50-meter sprint as an example, the difference in the duration between male students and female students in groups A and B is 0.83s and 0.9s, respectively, which is a large enhancement, which shows that the intelligent exercise prescription has a positive impact on physical education teaching.
Research on the Reform of Ideological and Political Education in Colleges and Universities Based on the Background of Big Data
Authors: Jiang Chaofan 
Published: July 2024

Abstract
One of the important directions for the reform of ideology and politics is the integration of big data with ideological and political education. As a type of big data technology, knowledge graphs can display a clear knowledge architecture, thereby optimizing the educational impact of courses in ideology and politics. In this paper, we first enhance the CRF model for processing sequence annotation, which is based on BiLSTM. We then propose features for judging entity relationships. Next, we use the classification model to classify the relationships within it. Finally, we integrate and store the knowledge of both civics and political science to create a comprehensive civics and political science knowledge graph. We found that the experimental class, applying knowledge mapping for Civics education, increased its total Civics score by 5.88 points and outperformed the control group in the knowledge memorization and application tests by 6.33 and 3.54 points, respectively. The experimental class’s post-test score for deep teaching interest reached 22.38, surpassing the control group’s evaluation, and the surface orientation decreased by 1.91 points. Research has demonstrated the benefits of using knowledge mapping in teaching to enhance students’ civics performance and learning interest.
Research on Auditing Supply Chain Finance Business of State-owned Enterprises Based on Deep Learning
Authors: Jing Xiaojuan , Chen Xizi 
Published: July 2024

Abstract
Due to the complexity and tediousness of the current audit process, the development of audit intelligence has become a general trend. In order to improve the audit quality, the study establishes an intelligent financial audit model based on audit opinion for the supply chain finance business of state-owned enterprises after analyzing the application of the audit function of deep learning, for which an audit prediction model based on the Gray Wolf Optimization Algorithm (GWO-Optimization) and the fusion of Long and Short Term Memory Network (LSTMN) is proposed. The supplier of a state-owned enterprise is selected as the research object, and the GWO-LSTM model is trained and tested by constructing the audit opinion prediction index system and data collection, comparing it with the BP neural network and support vector machine model, and combining it with the gray prediction model for predicting the audit opinion of the samples, in order to improve the model’s practical application ability. The GWO-LSTM model performs better in predicting audit opinions than the comparison models, as evidenced by the results. Its prediction and training accuracies are above 80%, and the accuracies of RMSE, MAE, and R² are finally stabilized at 0.1, 0.1, and 0.948, and the combined accuracy of prediction in practical application reaches 90%. The model in this paper can scientifically predict the audit opinion, thus improving the efficiency of the audit data analysis for the supply chain finance business of state-owned enterprises.
Research and Practice of Blended Teaching Mode of College English with BOPPPS Model in the Context of New Liberal Arts
Authors: Liu Yan 
Published: July 2024

Abstract
How to carry out scientific and reasonable teaching design and then improve the teaching effect is a problem faced by many college English teachers. Aiming at such problems, this paper is based on the six elements of the BOPPPS teaching model to design a blended teaching mode of university English and finally designs a blended teaching mode of university English based on the BOPPPS teaching model. In order to confirm the practicality of the teaching model, research subjects and research materials are identified, and after collecting sample data through questionnaires, the independent sample t-test algorithm is used to analyze the effect of the teaching model designed in this paper. The data show that there is a significant difference between the experimental group and the control group in the five qualities of scientific thinking, with a p-value of less than 0.05, and in terms of English achievement, the corresponding t-test result is a sig (two-sided) of 0.007<0.05, and there is a significant difference between the groups in terms of English achievement on the posttest, with a posttest mean of 92.768 for the control group and 99.774 for the experimental group. Overall, the effectiveness of the teaching model described in this paper is analyzed using the independent sample t-test algorithm. The designed online-offline hybrid teaching mode of college English based on the BOPPPS model has a more significant effect on students’ improvement in all aspects than the traditional English teaching method.
Exploring the School-Enterprise Collaboration Mode of Cultivating Applied Talents in Finance & Taxation of Higher Education in the Information Technology Era
Authors: Xie Xiaoni 
Published: July 2024

Abstract
Under the era of intelligence and informational technology, society has set higher requirements for the cultivation of talents in colleges and universities. This paper builds up a school-enterprise cooperation training model on the cultivation demand of applied talents in finance and taxation, and the employment quality data after the application of the model is statistically analyzed with the data of H universities in Guangdong Province. At the same time, after constructing the evaluation index system of the quality of the training of applied talents in finance and taxation under the model of school-enterprise cooperation by using the hierarchical analysis method and assigning weights to it, the quality of the training of the talents is comprehensively evaluated by the fuzzy comprehensive evaluation method. It was found that the employment rate of H college increased from 74.17% to 97.59% in the past ten years, and the counterpart rate increased from 73.54% to 89.24% in 2014. The study shows that A10 Employer Enterprise Satisfaction, A2 Enterprise Cooperation Platform, and A6 Enterprise Mentor Guidance have the highest scores of 86.215, 84.296, and 84.137, respectively, indicating that enterprises play an important and positive role. The A3 curriculum and A9 employment quality scores are below 80, which suggests that there are still problems to be resolved in both the course and employment quality. This paper provides useful exploration to address the problem of inadequate and misplaced school-enterprise integration and to ensure a comprehensive improvement in the quality of training talent in finance and taxation.
The Strategic Positioning and Implementation Path of Red Cultural Resources in the Civic and Political Education Curriculum of Colleges and Universities
Authors: Yang Hongyang , Sun Yuan 
Published: July 2024

Abstract
Red culture is an excellent cultural achievement formed by the Chinese leading people in long-term revolutionary practice, and it has become an indispensable content of ideological and political education in colleges and universities with its high value and rich connotation. Based on the strategic positioning of red cultural resources in the curriculum system of ideological and political education in colleges and universities, this paper designs the teaching path of red cultural, ideological, and political courses and implements it. It also constructs an assessment system to evaluate the quality of teaching in red culture and civic politics and proposes the use of the particle swarm algorithm to optimize the index assignment method in hierarchical analyses. Then, the fuzzy comprehensive assessment method is used to assess the teaching approach’s implementation effect. The implementation of the teaching path resulted in medium-high assessment scores for the teaching content, teaching method, and teaching effect, indicating the effectiveness of the red culture and civics teaching path. Students’ learning attitudes were significantly improved (3.5 points) compared with those before teaching (2.26 points), and it was found that the scores on the ideological and political quality test of the students who were taught with the integration of red resources were significantly higher than those of the traditional classes (P<0.05). This paper is critical for integrating cultural resources from the red minority into ideological and political education in colleges and universities.
On A Long-Term Survey of The Magnetic Field In A Laboratory
Authors: Pavel Ionel , David Valeriu 
Published: July 2024

Abstract
In this paper we conducted a study referring to survey of background magnetic field in a laboratory of Electrical Engineering Faculty, where students carry out didactic activity. Based on three sets of measurements made in the 2017-2023 period, a characterization of the main field sources and the background magnetic field was performed. During this period, the power supply network has suffered some changes, and in terms of the used instruments, it was switched from spot measurement performed with commercial instruments to continuous long-term surveys performed with automatic survey systems made and calibrated by authors. In addition to considering the spatial variation of the magnetic field, the study determines and analyzes the temporal variations of the background magnetic field, namely the daily, weekly and monthly variability. Thus, a great temporal variability of the magnetic field was identified with the week days and even months, can be reached in the ratios between the magnetic field averages on the week days and on the months of the year of order 4/1 or even 5/1.