bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Influence of Socialist Core Value System Construction on College Students’ Ideological and Political Education in the Context of Deep Learning
Authors: Zhang Rongwei 
Published: January 2024

Abstract
In this paper, the word-level N-gram language model applicable to Chinese word segmentation in ideological and political education is obtained through large-scale corpus training, and the Chinese word segmentation path in ideological and political education is calculated according to the conditional probability formula. On the basis of the deep learning algorithm, the Chinese participle algorithm is optimized by introducing word frequency deviation and sorted word frequency deviation indexes, and the cut score with the largest value of the participle indexes is taken as the final participle result output. Starting from the current situation, we determine the evaluation indexes of ideological and political education. Meanwhile, we complete the research design of the impact of the socialist core value system and use the SPSS22.0 and Origin2019 statistical software to carry out the research and analysis of ideological and political education. The results show that the index values of the Chinese word separation algorithm based on the 4-gram language model have also been improved by 1.15%, which means that there exists the possibility of practical application of the model in Chinese word separation in ideological and political education. The college students’ identification with the socialist core values at the national, social and personal levels are all at a high level, with values of 4.28±0.82, 4.32±0.75 and 4.61±0.62 respectively. This study improves students’ ideological-political literacy and provides references to their healthy growth.
A Whole-Segment Carbon Measurement Approach for Energy Systems Incorporating Knowledge Mapping Techniques
Authors: Li Qiang , Liu Juanyu , Zhang Laidong , Li Xinyue , Luo Junting , Wang Sijue , Han Shuwang 
Published: January 2024

Abstract
As the current carbon measurement method makes it difficult to reflect the time-space variability of carbon emission factors, it leads to the inability to clarify the carbon emission responsibility of grid-side losses. In this paper, starting from the internal power system, based on the power system carbon emission flow analysis theory and knowledge graph technology, a trend-tracking analytical algorithm based on the node conductivity matrix operation is proposed to solve the complex power allocation relationship between each generating unit and each node load, and between each generating unit and the line network loss. On the basis of this algorithm, the carbon flow tracking model of the whole power system is established according to the conversion relationship between the current and the carbon flow, and the analytical expressions of the carbon emission distribution among the power generation side, the load side and the line loss are obtained by combining with matrix operation, so as to measure the carbon emission measurement results of the whole power system and to provide data references for the responsibility sharing of carbon emission. Finally, simulation verification is carried out based on the actual system operation and load data for C city. The total amount of carbon emissions from electricity consumption is 98.8 million tCO2 when C city is used as the minimum spatial scale, while the total amount of carbon emissions from electricity consumption is 67.9 million tCO2, 14.0 million tCO2, 16.9 million tCO2, and the total amount of the three regions is 98.8 million tCO2, which is consistent with that calculated when C city is used as the minimum spatial scale. The calculation results are consistent in real-time. The carbon measurement method proposed in this paper can obtain higher spatial resolution carbon measurement results for electricity consumption.
Exploration of Interdisciplinary Teaching Innovation Mode for Environmental Design Majors Based on Information Integration Technology
Authors: Xia Xing , Zhou Yangxiaoxiao , Fu Gang 
Published: January 2024

Abstract
This paper constructs an interdisciplinary, innovative teaching model for environmental design majors based on information fusion technology. Based on sensors to collect students’ expression characteristics, interest characteristics, attention characteristics and other information, and three-dimensional modeling of students’ state, the trajectory multimodal data generated from students’ interactions with the teaching facilities in the process of learning are correlated with the externally manifested learning activities and the implicit learning characteristics. Subsequently, the extracted data was merged and analyzed, and feedback was provided to enhance teaching effectiveness. The results show that the information fusion model has a recall rate of more than 0.9, a checking accuracy rate of 0.87-0.93, and a student behavior recognition rate of 85%-91%, which are all better than other models. After using the innovative teaching method, the coefficient of student feedback evaluation increased from 0.4 to 0.88, which indicates the effectiveness of this paper’s model in student behavior identification and feedback.
Research on the Construction Problems of Innovation and Entrepreneurship Education Programs in Higher Vocational Colleges and Universities under the Background of Digital Technology Era
Authors: Xu Yanwei 
Published: January 2024

Abstract
Entrepreneurship and innovative education have emerged as a new paradigm for the development of higher vocational abilities in the modern era, leaping into the global trend and tendency of higher education’s change and growth. The objective of this study is to explore the current state of innovation and entrepreneurship course construction in higher vocational schools. Specifically, we extracted students’ behavioral characteristics using the short-term behavioral sequence of attention and used the SVM model to predict the classification of innovation and business ownership education courses in higher professional colleges. Data mining was used to combine background information from the digital technology era to construct these courses in higher vocational schools. Furthermore, a multivariate linear regression model based on students’ comprehensive ability to innovate and entrepreneurship is established after the problems associated with curriculum construction are analyzed in order to investigate the relationship and impact between curriculum construction and students’ ability to innovate and entrepreneurship. The findings indicate that there is a general lack of an entrepreneurial culture in schools, a poor cultural heritage of entrepreneurship, a gender difference of 6.1, a lack of faculty strength, and a lack of funding, to the tune of 5.2 and 4.4, respectively, and the comprehensive ability of innovation and entrepreneurship of students = 0.30+0.25*curriculum structure+0.54*curriculum implementation+ 0.15*curriculum evaluation. Higher vocational institutions looking to enhance the way their courses on innovation and entrepreneurship are constructed can use the results of this study to guide their research.
Design of cultural and creative experience products in scenic spots based on CORE model
Authors: Dai Ying , Zhang Shusen 
Published: January 2024

Abstract
Under the background of “cultural and tourism integration”, scenic cultural and creative experience products are an important means to enhance the communication power of scenic spots and generate income. In this paper, the CORE model is used as the design concept, and the CORE design process for scenic cultural and creative products is constructed. The plain Bayesian classification algorithm is used to extract review feedback from the product, and the vectorization of the extracted reviews is achieved using the FastText model. The vectorized reviews are input into the logistic regression classification model to obtain sentiment classification results. A fused sentiment feature vector is constructed by combining Apirior and a sentiment dictionary aimed at separating sentiment vector classification. Finally, the experience effect of cultural and creative products is explored as an example of X scenic spot, and the optimization strategy of product design is explored. The attribute feature of X Scenic Spot’s cultural and creative experience product, “color” embraces four emotional attributes, and the corresponding adaptations are 4.77, 5.42, 5.40, and 5.38, respectively. The SDs of the emotional attributes of the existing product are The SDs of the emotional attributes of the existing products are 1.141, 1.025, and 0.184, respectively, and the differences between the product descriptions and the users’ opinions on the perceptual attributes are large, which provides the evaluation correlation in the CORE model. Under the guidance of the CORE model, four aspects of cultural and creative marketing, scenic area IP, consumer needs and product experience dimensions are proposed.
Practical Research on Curriculum Development in Chinese Traditional Culture Universities with an Information Technology Background—Taking Wood Engraving Picture as an Example
Authors: Guo Yadong 
Published: January 2024

Abstract
In today’s rapid development of information technology, integrating woodblock prints into campus curriculum development is an effective path to cultivating students’ cultural confidence. This paper takes the specific inspiration of woodblock New Year’s paintings for campus curriculum development as the entry point, and designs the implementation process of woodblock New Year’s paintings school-based curriculum. The stylistic features and color characteristics of woodblock prints are crucial for teachers to develop their teaching curriculum. In this paper, two-dimensional stylized images combined with an elliptic Fourier algorithm are used to preprocess and optimize the images of woodblock prints. The color features of woodblock annual paintings are extracted by the Mean shift algorithm based on pixel expression, which can be used to develop a school-based curriculum for teachers. In order to verify the effectiveness of the above method in extracting the shape and color features of woodblock annual paintings, this paper designs relevant experiments to carry out the verification analysis. The results show that the styling optimization based on the elliptic Fourier method has a stable output rate of about 0.92 after more than 300 iterations, and the recognized woodblock New Year’s painting styling image has the best clarity, up to about 0.211. The color feature matching method based on pixel expression increases with the number of feature matching points, and its final time consumption is approximately 32.5 seconds. The full combination of science and technology can combine the traditional excellent culture with curriculum development, providing a new path to revitalize the traditional culture as well as innovative curriculum teaching.
Research on the Evaluation Method of Online Learning Satisfaction of College Students Based on Hierarchical Analysis Approach
Authors: Ji Yiping , Zhernovnykova Oksana 
Published: January 2024

Abstract
This paper adopts the hierarchical analysis method as the weight calculation method for the evaluation of online learning satisfaction, calculates the weights between the evaluation indexes, and constructs the evaluation system of college students’ online learning satisfaction. Combining the teaching experience, the characteristics of online teaching and the items recorded in the web logs in the online teaching platform, the judgment matrix for online learning satisfaction evaluation is established, and the reasonableness of the matrix is judged by the consistency checking method. Evaluation standards are formulated based on the online learning evaluation information, and the research on online learning satisfaction evaluation is designed, while the online learning satisfaction evaluation of college students is analyzed by using the method of statistical analysis. The results show that the comprehensive learning evaluation scores derived from the use of hierarchical analysis are significantly more objective than the traditional evaluation of students’ learning effectiveness using only the end-of-term test scores, with a score difference of 15, and more than 85.24% of the students based on the hierarchical analysis method of college students’ online learning satisfaction evaluation method, which is effective in promoting the students’ regular participation in online learning. The correlation coefficients of online learning experience with clarity of teaching goals and expectations, teacher-student communication and exchange, learning support services, learning motivation, learning hardware equipment and operability, and teaching methods are 0.491, 0.524, 0.435, 0.596, 0.542, 0.391, respectively, which are all significant at 1% level, i.e., only by guaranteeing a higher level of learning effect can we improve students’ satisfaction with online learning.
Research on Development and Protection of Cultural Heritage Tourism Resources in the Age of Artificial Intelligence
Authors: Cheng Li 
Published: January 2024

Abstract
This paper constructs the basic framework of the spatial pattern analysis method of historical, cultural heritage with the relevant technology of artificial intelligence and analyzes the spatial pattern of historical cultural heritage through spatial correlation analysis. ArcGIS and FineBI software are used to carry out correlation analysis on the degree of spatial aggregation, spatial distribution density, and related point and line distribution of cultural heritage tourism resources so as to derive the spatial distribution characteristics of cultural heritage tourism resources. Shanzhou Region, Sanmenxia City, Henan Province, is taken as the research object to empirically analyze the development and protection of its cultural heritage tourism resources. The results show that the values of global autocorrelation Moran’s I of spatial mismatch of cultural heritage tourism resources are all positive, and the mean value of Z(I) is 6.07956, P(I)<0.05, indicating that the spatial mismatch index of cultural heritage tourism resources at the city level has a significant spatial clustering tendency and an obvious clustering tendency. This study offers scientific suggestions for the development of cultural heritage resources in tourism, and it is also crucial for the development of Chinese cultural heritage sites.
Effective Integration of Ideological and Political Education and Student Management in Colleges and Universities Based on the Coupled Coordination Model
Authors: Li Qingsong , Shu Xiaoqin 
Published: January 2024

Abstract
In keeping with contemporary demands, the integration of political and ideological education with student management empowers students to actively embrace the establishment of a superior ideological culture in a more open and laid-back learning environment. The creation of an extensive index system enables the integration and collaboration of political and ideological instruction and student management duties in colleges and universities. The theory of system coupling is used to discuss the level of synergy and consistency of system development. The subjective empowerment method uses the FIAHP technique to determine the subjective weight of the standard. The objective weight of the indicator is determined by using the pull-out grade method. The LPE-SMW coupling coordination model is constructed by combining the weights of the two indexes to solve the weights. The coupling coordination level is evaluated and examined in order to confirm the efficacy of the coupling coordination model in examining the development and integration between political and ideological education and student management in colleges and universities. The coupling degree of coordination in the eastern region is approximately 0.65, and the degree of coupling coordination of the LPE-SMW in the central region has a mean yearly increase of 0.43% over the 20 years, according to the results of the smoothness test of each variable of the LPE-SMW linking coordination degree model, which shows differences at the 1% level. The linking coordination model offers a fresh approach to the creation of successful integration between political and ideological education and student management in higher education by offering a thorough examination of the relationship between the two.
Research on Role Orientation and Situation Construction of Contextualized Music Performance in the Background of Artificial Intelligence
Authors: Duan Jinlan , Zhong Qi , Fan Hao 
Published: January 2024

Abstract
In this paper, the Skip-gram model is used to process the main melody information of contextualized music, combining feature extraction and Schenkel analysis to extract the main melody note sets and vectors. By applying the short-time Fourier transform (STFT) to the audio signal, the spectral center of mass and irregularities can be calculated to represent the emotional features of the music. To obtain music features based on wavelet coefficients, the music signal is decomposed, and each scale’s signal features are counted individually. Finally, by taking the musical elements as independent variables and the perceived results of pleasure and activation in the contextual model as dependent variables, we compared the variability of the dynamic associations between emotional perceptions and the musical elements among different contextualized music pieces. The results showed that the overall differences in emotional cognition across musical performances ranged between ±0.5, with the mean short-term energy amplitude of relatively cheerful music ranging between ±0.2, which was smaller than that of angry (±0.3) and sad (±0.5) music. In this study, musical works were accurately characterized, and their expressive and infectious power was effectively enhanced through contextual construction.
Coordinated Development of Civic Education and Student Management in Colleges and Universities Based on PLSPM Modeling
Authors: Du Song 
Published: January 2024

Abstract
This paper constructs a satisfactory coordination and optimization model of ideological education and student management in colleges and universities, designs the relationship between ideological education and student management in colleges and universities, and establishes the index system as well as the mathematical model of coordinated development. Based on the modeling steps and the quantile effect of the PLSPM model, PLS path modeling is carried out using the Poor man method, and the PLS path model is empirically analyzed using the Patch method. Sample data on Civic Education and Student Management in colleges and universities were collected to conduct model testing and research hypothesis testing and to determine the coordinated development index of the university. The 452 valid data from Northeast Agricultural University are used as an example for the optimization analysis of the degree of satisfaction coordination between civic education and student management in colleges and universities and the values of the degree of satisfaction coordination between civic education and student management in the school are 0.876 and 0.769, which are both more than 70%, and the development is relatively good. The result of the satisfaction coordination index measurement is 0.847, which indicates that the school’s Civic and Political Education and Student Management are both developed in a coordinated manner.
An Inquiry into the Translation of English Literary Metaphors Based on Text Mining Techniques
Authors: Jiang Xiaochun 
Published: January 2024

Abstract
In this paper, the vector space model is used to convert the English literature text to be processed into a feature vector composed of feature items, and after adding weights to the feature items, it is composed into an N -dimensional space. After calculating the text similarity using the vector angle cosine, the knowledge base of English literature metaphors and an automatic recognition model are constructed by combining them with a Bayesian classification algorithm. Starting from the research purpose, we determine the research object and tools and analyze an example of English literary metaphor translation through the combination of simulation analysis and statistical analysis. The results show that the running speed of NBC is 10.2% faster than that of CFC, the speed of SOFMC is 70.1% faster than that of CFC, the accuracy rate of NBC is 32.8% higher than that of SOFMC, and that of CFC is 41.8% higher than that of SOFMC, and in terms of the combined running speed and accuracy rate, NBC performs better than SOFMC and CFC, i.e., it shows that the Bayesian classification algorithm is useful for dealing with English metaphor recognition and Chinese translation with excellent performance. In terms of lexical translation accuracy, the translated English literary metaphor texts with labeled lexical categories are significantly higher than the translated English literary metaphor texts without labeled lexical categories, with a difference value of 6.31%. This study extends the scope of cognitive linguistics research and offers a guiding reference value for translating English literary metaphors.
Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
Authors: Ren Xuebing , Xie Hua 
Published: January 2024

Abstract
Labor education in colleges and universities in the new era is an important prerequisite for the comprehensive implementation of the fundamental task of establishing moral education and the comprehensive development of students. This paper mines the connotation of labor education based on the method of multivariate statistics and constructs a factor analysis model of the connotation of labor education by using the method of factor analysis and cluster analysis combined with the principle of dimension selection. The correlation coefficient matrix is utilized to depict the relevant variables of labor education and to assess the correlation between these original variables and the factors. KMO and Bartlett’s spherical test are used to test the reasonableness of connotation factors in labor education. The results show that the cumulative contribution rate of the first 4 factors of the connotation of labor education, i.e., labor concept, labor ability, labor spirit, and labor habit, are all 70.575%, and the variance contribution rate of the first component before rotation is 44.231%, which accounts for a large part of the total variance contribution rate of the 4 principal components. It indicates that the first four factors of labor education can be considered the main dimensions of education. The research in this paper can promote the development of labor education in colleges and universities to a certain extent and provide a new reference for labor education.