bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Influence of Steganographic Methods and QR Code Resolutions on Data Hiding in Cover Images
Authors: Andrejčík Samuel , Ovseník Ľuboš , Oravec Jakub 
Published: February 2024

Abstract
This work deals with digital image processing using the steganography technique in real life. Various steganography techniques face data authentication, data security, and copyright issues. Due to the fact that the problem of data security is currently very topical, these techniques are often sought after. This is related to the constant development of new algorithms that provide solutions that will safely hide the secret message in the image and at the same time will be resistant to various types of attacks. The motivation for writing this work lies in the technique of representing a secret message using a Quick Response code. Later in this work is comparison between our results and results of approach made by scientific community, which works with data hiding within steganographic principles. The secret message is written in the least significant bit plane of the cover image, which ensures that the modification of the image cannot be detected by the naked eye. The proposed solution is evaluated by mathematical quality assessment parameters Peak signal-to-noise ratio, Mean squared error, Normalized cross-correlation and Structural similarity index.
A Study of Differences in Sentential Characteristics of Japanese Language Teaching in Colleges and Universities Based on Semantic Contrastive Analysis
Authors: Tang Huiqin 
Published: February 2024

Abstract
Colleges and universities actively carry out Japanese language teaching courses to promote the friendly cooperation and communication between China and Japan. However, improving students’ Japanese intercultural communication ability still faces specific difficulties and practical obstacles due to cultural differences. In this paper, firstly, a Japanese language teaching corpus is collected based on Python technology to establish a Japanese language teaching corpus, based on which a Japanese language flipped classroom teaching model is constructed in colleges and universities. Secondly, to understand the semantic distribution of Japanese vocabulary in the Japanese teaching corpus, the Hidden Markov Model is used to semantically segment Japanese language, and the attention mechanism based on categories is used to extract and classify the textual features of the Japanese corpus. Finally, the model’s teaching effect and sentence features are analyzed using University of N as an example. The results show that after the teaching experiment, the average score of Japanese application proficiency of the experimental class is 86.57, which is 14.495% higher than that of the control class. 22.52% of the sentence length frequency ratios in spoken corpora were distributed in the [10,20] range, and the highest values of sentence length frequency ratios in written corpora, academic corpora, and policy corpora fell in the range of 20-30. Teaching Japanese language in higher education needs to target the lexical meanings of different sentence lengths to help students improve their Japanese language application skills.
Cognitive mapping-based audiovisual and singing music therapy as a cross-intervention for college students’ anxiety
Authors: Zhao Yue 
Published: February 2024

Abstract
This paper explores the feasibility of music therapy in alleviating students’ anxiety symptoms by comparing the effects of different audiovisual singing music therapies on the regulation of students’ anxiety states. The method of emotion calculation and exponential function is used to quantify students’ emotions, combined with the emotion matrix to express the degree of change of students’ emotions, and the cognitive map of music preference is constructed according to the prediction of students’ emotional state. Using emotion similarity matrix to determine the degree of music and student emotion matching available. Music recommendation methods were utilized to push music to anxious student groups, and the students’ music inclination degree was derived from the data. The effects of classical music and light music on students’ anxiety were also analyzed. The results showed that the only two categories of students’ music style tendency degree > 0.5 under anxiety were light music and classical music, and the music tendency degree was categorized as 0.823 and 0.797. The students’ anxiety scores were significantly lower than those before the intervention after the music intervention, with a T-value of 2.52, p<0.05. The difference between the scores of the Sleep Quality Scale and the pre-intervention was insignificant. Lower than that of the control group but the difference was not significant p>0.05, which indicates that music therapy can effectively relieve students’ anxiety.
Infiltration of Traditional Music Elements in Piano Teaching Models Combining Wavelet Packet Domain Auditory Perception
Authors: Jiang Jiatong , Zheng Wei 
Published: February 2024

Abstract
In Chinese piano teaching practice, the importance of auditory perception of music has been neglected, so that in piano performance and teaching, many people play music that lacks personality and emotional experience. This paper proposes an auditory perception model based on wavelet packet domain based on the acoustic properties of the human ear. The model analyzes the acoustical perception characteristics of piano audio signals through wavelet transform, and introduces adaptive wavelet packet decomposition into the calculation of the auditory perception model to simplify the calculation of the model, so that the obtained auditory masking threshold is closer to the actual value. Finally, the acoustic perception model is practically applied to piano teaching to verify its effectiveness. And the traditional Chinese music elements of Gong, Zheng and Shang were infiltrated in piano teaching. The results showed that the model detected the 3rd harmonic g1 with root tone C, whose frequency peak was most prominent at 397.25 Hz, and the sound pressure value reached 39.50 dB, indicating that the auditory perception ability directly affects the musical expression and creativity. This study cultivates students’ musical auditory perception ability, which significantly improves piano playing ability.
Research on the Innovation and Practice of Municipal Industry-Education Consortium Based on the Advantageous Correlation Degree Method under the Development of Wenzhou Private Economy
Authors: Yi Mengyi 
Published: February 2024

Abstract
Industry-education integration education is increasingly important in promoting regional economic growth. Taking the private economic development of Wenzhou City as the background, this paper analyzes the development level of industry-education integration in Wenzhou City in depth at the geographical level by applying the perspective of industrial association. The study reveals the correlation between the development of the city’s industry-education consortium and the regional private economy industry and its economic effect characteristics. The relationship between the innovative practice of industry-education consortium and the development of private economy was quantitatively measured using the dominant correlation model’s absolute correlation and correlation order methods. The analysis results show that the economic driving effect of the industry-education consortium is characterized by apparent temporal sequence, and verifies its effectiveness in promoting economic output and facilitating industrial upgrading. It is found that the correlation between the municipal industry-education consortium and Wenzhou private economy is generally higher than 0.6, and the value of the correlation coefficient of the driving force is between 0.6 and 0.9, indicating that the innovation of the industry-education consortium has a significant driving effect on the development of Wenzhou private economy. This study provides valuable references and insights for further deepening the development strategy of regional industry-education integration and promoting regional economic development.
Research on the Teaching Reform Path of Art and Design Specialties in Colleges and Universities in the Era of Artificial Intelligence
Authors: Wen Jie 
Published: February 2024

Abstract
In this study, the ability level of art and design students in colleges and universities was accurately calculated by adopting the Logistics model in item response theory, combined with learner-question response data, and the maximum likelihood estimation method. Further, the study constructs a personalized recommendation model based on students’ competence, which utilizes the singular value decomposition technique to calculate students’ similarity coefficients, and achieves accurate personalized learning path recommendation. Through descriptive analysis, this paper delves into the specific application and effect of this personalized recommendation algorithm in the teaching reform of art and design majors in colleges and universities. The simulation analysis method evaluates the impact of online art and design professional teaching. The results show that this algorithm performs best in scoring prediction accuracy when the regularization coefficient is set to 0.02, and its RMSE value reaches 0.95012.This finding confirms that the personalized recommendation algorithm based on the students’ ability can effectively promote the reform of art and design teaching in colleges and universities, and realize tailored teaching. In addition, through accurate learning path recommendation, the algorithm significantly improves students’ learning ability and enthusiasm and provides valuable guidance and reference for teaching reform in colleges and universities.
Research on Informatization Mode of Higher Education Management and Student Cultivation Mechanism in the Internet Era
Authors: Yu Feng , Lu Yan 
Published: February 2024

Abstract
Education informatization, as a critical force to promote social informatization and education modernization, profoundly impacts the development of higher education. In this study, through the data envelopment analysis (DEA) technique, the resource input and output effects of higher education informatization are deeply explored, and a comprehensive evaluation system for the effectiveness of higher education informatization management is constructed. Using the coefficient of variation, McLean index and Worstegen index, this paper analyzes the development differences of higher education informatization in different regions and their causes. Thirty-two representative undergraduate colleges and universities are selected as the research objects, and the results show that 11 colleges and universities have achieved optimal efficiency in education management and talent cultivation, and are recognized as DEA effective decision-making units. This study provides valuable references and guidance for the government in allocating informatization resources, and for colleges and universities in improving their informatization management ability and talent cultivation effectiveness.
Literary Dialogue Across Cultures in the Context of Multiple Data Integration: New Essays on Comparative Literature and Poetics between China and the West
Authors: Cui Yue 
Published: February 2024

Abstract
This study uses a two-stream multivariate data embedding network and FLAT model to effectively integrate text structure and linguistic information to enhance the performance of named entity recognition. In addition, named entity recognition and literary narrative analysis were carried out using linear chain conditional random field and Apriori algorithm, and literary character narratives and knowledge graphs were constructed. Finally, the characteristics and differences between Chinese and Western literature are deeply explored through econometric analysis and character similarity analysis, and it is found that the differences in geographic environment and socio-economic characteristics profoundly impact Chinese and Western literary art and poetics. The most fundamental difference between Chinese and Western societies lies in the commercial character of Western socio-economics, while China is more rural. The study reveals the uniqueness and intersection of the two civilizations in literary creation, providing a new perspective and theoretical support for cross-cultural academic dialogue.
Research on the Path to Improve the Employment Quality of Private College Students under the Background of Big Data
Authors: Li Fangyuan 
Published: February 2024

Abstract
In this paper, we use space-sensitive crawler technology to obtain the initial data of college students’ employment quality research from the websites or databases of private colleges and universities. We determine the evaluation indexes of college students’ employment quality through data cleaning and conversion of the initial data. On this basis, because of the limitations of the clustering algorithm, grey correlation analysis is used to optimize the clustering algorithm, and the evaluation model of college students’ employment quality based on grey correlation optimization clustering is constructed. Then the clustering analysis of college students’ employment evaluation indexes is carried out. The results show that the main influencing factors of job satisfaction of female graduates in some disciplines such as literature, history and philosophy and education and law are family economic situation Q7 (-1.9328), participation in innovative and entrepreneurial activities Q8 (29.2178), political outlook Q11 (3.0279), and graduation destination Q13 (2.5824), and that this paper’s method is effective in revealing the key factors. This study benefits the enrichment and innovation of the research content of employment quality. It provides theoretical support for solving the problem of future employment quality of college students in private colleges and universities.
Research on the realization path of ideological and political education goals in colleges and universities based on Bayesian decision theory
Authors: Liao Yuting 
Published: February 2024

Abstract
With the continuous development of innovative education and the growth of the demand for personalized learning, this paper explores the evaluation of students’ learning ability and resource recommendation methods in Civic Education under the guidance of OBE (student-centered, outcome-oriented, continuous improvement) educational philosophy to better achieve the educational goals. By constructing a learning ability evaluation model for Civic Education, this paper establishes a learning ability evaluation and Civic Education resource recommendation model based on Bayesian decision making by using Bayesian Decision Theory’s a posteriori probability for uncertainty reasoning and combining the personalized recommendation function of collaborative filtering algorithm. By analyzing the data of a university’s ideological and political education course in the fall of 2020, this paper not only realizes the accurate evaluation of students’ learning ability, but also tests the model’s effectiveness in learning ability evaluation and resource recommendation. The findings show that students perform well in effective communication, collaboration and independent learning ability, whose evaluation mean values are 0.62, 0.58 and 0.55, respectively. In addition, some students’ learning ability significantly improves after receiving the recommended test questions, with the increase ranging from 34.36% to 36.67%. These findings demonstrate the model’s excellent learning ability evaluation and resource recommendation performance. The research in this paper provides valuable references for evaluating students’ learning ability and resource recommendation in Civics and Political Science education, which can help further improve students’ learning effectiveness and achieve educational goals.
Research on the evaluation of the effect of ideological and political education in colleges and universities based on information entropy
Authors: Liao Yuting 
Published: February 2024

Abstract
With the development of society, ideology and culture in constant change, ideological and political education in colleges and universities has been increasingly emphasized. This paper constructs an assessment model for the effect of ideological and political education in colleges and universities. Based on the specific objectives of ideological and political education in colleges and universities, this paper first establishes a comprehensive evaluation index system of educational effect. Subsequently, the information entropy model is used to standardize the data of the selected indicators, and the final scores of each indicator are calculated by the support vector regression (SVR) method, thus completing the construction of the education effect assessment model. The reasonableness test of the proposed model for evaluating the effectiveness of Civic and Political Education in colleges and universities shows that the fluctuation range of the model’s weights is between 0.02 and 0.1. The fluctuation is minimized and the evaluation grade is credible. In the specific case study of Civic and Political Education, the entropy weights of teaching methods, performance improvement and teaching resources are 0.02445, 0.02438 and 0.02415, respectively, which shows that the information entropy-based Civic and Political Education Effectiveness Evaluation Model of Colleges and Universities in this paper is not only practical but also has rationality. Therefore, the model provides an effective method and path for the development and effect assessment of education in colleges and universities, and helps to promote the further enhancement of Civic and Political Education in colleges and universities.
Exploration of Informatization Teaching Mode of College Music Courses in the Context of Traditional Music Culture
Authors: Yang Yaokun 
Published: February 2024

Abstract
This paper discusses the implementation of informatization strategies in music teaching in colleges and universities, mainly through constructing an online teaching platform, using Bayesian nonparametric models and extreme gradient boosting algorithms to optimize the teaching process by classifying music and recommender systems. The study collected students’ specific information and learning styles, and found that most students solved problems by searching for tutorial books and consulting their classmates, and less often used online resources. The online teaching platform generated feedback reports based on the number of interactions, engagement and attendance. Classroom activities focused mainly on interaction and discussion in the first 15 minutes, while whole-class quizzes were conducted in the 18 to 30 and 40 to 50 minute segments. Finally, the teaching practice was evaluated through a questionnaire, and the results showed that the p-values of the five dimensions of aesthetic perception, artistic performance, cultural understanding, interactive learning and interest inquiry were significantly less than 0.001, indicating that the implementation of informative teaching strategies enormously helped to enhance students’ learning outcomes.
Optimization of the Teaching Process of Physical Education and Training in Colleges and Universities Based on Explanatory Structural Models
Authors: Li Ying 
Published: February 2024

Abstract
This study examines the explanatory structural model’s inter-level division technique and how it relates to the directed graphs representing the system’s constituent parts. The directed graphs without loops are successfully identified by analyzing these directed graphs, and the critical elements in the set of highest-level elements are found accordingly. The reduced reachability matrix is used in the study to directly locate the corresponding sinks, and this approach not only optimizes the hierarchical effect of the elements of the complex system, but also significantly improves the computational efficiency of the explanatory structural model. We also used this refined model to examine the main variables influencing how well colleges and universities teach physical training. To maximize the effectiveness of the physical exercise teaching method, a strategy of moving from the deep to the surface was chosen, considering the hierarchical link between these components. The study’s findings demonstrated that applying this optimization method raised the subjects’ overall test scores before and after training by an average of 20.14 points. In addition, the subjects’ lung capacity increased from 4.21 liters to 4.86 liters, and the left ventricular end-diastolic volume and output per beat in terms of cardiac function increased by 11.7% and 18.9%, respectively. The study’s findings offer a significant theoretical and practical foundation for advancing physical education techniques and developing college students’ athletic potential.
Exploring the High-Quality Development of Smart City Tourism in the Information Age
Authors: Liu Manman 
Published: February 2024

Abstract
This article discusses the high-level guidance strategy and deep-level value embodiment of tourism informatization construction for smart city tourism. Based on the existing evaluation system of intelligent city tourism development, the article utilizes BP neural network for data screening. It combines the entropy weight method to complete the index assignment, and evaluates and analyzes the development of innovative tourism services in six intelligent cities. In the area of brilliant tourism information service, Beijing scored 94%. In clever catering and accommodation services, Beijing leads with a score of 90%, while Nanjing and Chengdu rank second and third with scores of 81% and 80% respectively. Regarding overall innovative tourism development, Beijing scored 0.4731, 0.1762, and 0.1168 in terms of scientific and technological innovation, economic development, and general development security, respectively. In addition, the intelligent tourism development trend from 2018 to 2022 shows that Beijing’s tourism revenue will reach 622.46 billion yuan in 2022, which is 30.36 billion yuan more than the previous year. By evaluating the development of intelligent city tourism services through BP neural network, this paper effectively identifies the critical factors for developing clever tourism construction. It puts forward effective strategies to improve the level of intelligent services. These findings have important theoretical and practical significance for the development of intellectual city tourism field, and provide an essential reference for the further optimization of smart city tourism services.
Regional economic dispatch analysis and industry chain optimization based on proximal strategy optimization algorithm
Authors: Zhang Yichuan 
Published: February 2024

Abstract
In this paper, the traditional proximal strategy optimization algorithm is improved based on traction technology to address the poor efficiency of the conventional proximal strategy optimization algorithm in analyzing regional economic scheduling and industrial chain optimization. The focus is on finding the optimal solution by applying this algorithm in the spatio-temporal coupling characteristics of new infrastructure and regional economic dispatch, the simulation of changes in regional industrial structure and the allocation of industrial chain. The experimental analysis not only verifies the effectiveness of the improved algorithm, but also shows that the level of new infrastructure development shows a specific positive correlation with the degree of development of regional economic dispatch, with a growth rate of 29.26% in 2021. Under the influence of different industrial scenarios and policies, there are significant differences in the path and speed of industrial structure change FPPO-QP algorithm is also above 44Mdps in V2I capacity performance under the interference of 3.5×1060Bytes. In contrast, the performance of the FPPO-LP algorithm has declined. Therefore, the improved algorithm can effectively apply to regional economic dispatch analysis and industrial chain optimization.