bluuebunny/crossref_metadata_2025_split huggingface dataset:
Empirical research on the suitability of rural tourism development based on fuzzy comprehensive evaluation method
Authors: Zhang Binbin , Yang Shiheng 
Published: February 2024

Abstract
In recent years, rural tourism has developed rapidly and has become an important growth point for rural tourism economic development. This paper is based on the fuzzy comprehensive evaluation method to construct the evaluation indexes and evaluation levels of rural tourism development suitability, taking the rural tourism development suitability of place Z from 2016 to 2020 as the research object, combining the analysis of gray correlation and gray fuzzy comprehensive evaluation calculation to get the weights of the indicators, the comprehensive scores and the level results of each year, and scoring and analyzing the suitability of the tourism of the 15 villages of place Z, and dividing these rural tourism suitability were divided into different levels. The score of rural tourism development suitability in Land Z during 2016-2020 showed an overall increasing trend, and the rate of increase in 2018 was 6.76%, which was the fastest rate of improvement. Economic development receives the highest weighting among first-level indicators with 0.837, followed by tourism resources, infrastructure, and human resources with 0.758 and 0.734, respectively. In terms of the overall composite score, the tourism suitability of 2016-2020 has increased as a whole, and the composite scores of 2017 and 2018 are both greater than 0.7, with an evaluation grade of “medium”, and the comprehensive scores of 2018-2020 are all greater than 0.8, with an evaluation grade of “good”.
Design of an integrated evaluation system for innovative education in colleges and universities based on the gray comprehensive evaluation method
Authors: Zhou Yun , Yang Shiyu 
Published: February 2024

Abstract
This paper uses hierarchical analysis and gray comprehensive evaluation to quantitatively evaluate the level of integration of innovation education in colleges and universities, and for this purpose, the evaluation system is first designed. The B/S structure model is employed to construct the system, which is divided into seven modules. Within the evaluation module, the evaluation index system is first constructed, combined with questionnaires and other means, the weights are calculated using the hierarchical analysis method, and then the level of innovative education in colleges and universities is quantitatively evaluated using the gray comprehensive evaluation algorithm. Three schools were tested for empirical analysis after the system design was completed. The trial situation of each school shows that the indicators of publicity report and achievement transformation each have 20%~40% poor evaluations, in addition to the indicators of grade ranking and the status of relatives’ business enterprises have 40% very poor evaluations. The innovation and entrepreneurship competition in the ‘process quality’ competition received a score of approximately 62 points, which is generally low. The average score for ‘quality of results’ is typically lower than 70, with a lower average score for ‘innovation and entrepreneurship’ at 63.95 points. The system is functioning well and able to examine the challenges in the school’s innovation education.
Logical Synonymy Construction for Translated Texts Based on Edge Technology
Authors: Zou Haiyan , Xiao Qinhua 
Published: February 2024

Abstract
This paper combines edge technology and communication transmission control technology to characterize the translation logical synonymity of machine-automatically converted translated text, the mapping results of logical synonymity of machine-automatically converted translated text, and construct the logical synonymity model of machine-automatically translated text. Starting from the classification of synonym identification, the similarity algorithm is used to calculate the editing distance and the longest common substring of the synonymous terms of the translated text, and according to the translated text, the synonym matching items are extracted from an arbitrary text collection, and the pairing determines whether there is any synonymity in it. The analysis of data analysis involves analyzing the logical synonymity features of translated texts that use edge technology and Chinese-English and English-Chinese metaphor translation. The results show that the lexical distribution of the translated corpus based on edge technology is basically the same as that of the original Chinese language, except for the gap in the use of nouns (3.35%), verbs (5.19%), adjectives (3.21%), and pronouns (0.30%), the rest of the lexical distributions have very small gaps, and thus show an obvious trend of paradigm, which further confirms that the study of logical synonymy of text based on edge technology is Feasibility. Both explicit metaphors and borrowed metaphors are more than 20% higher in the proportion of direct translations from English to Chinese than from Chinese to English, indicating that the direct translation method is more frequently used in English to Chinese translation. This study contributes to the creation of a linguistic and culturally diverse situation and positively influences the translation process.
Artificial Intelligence Enabling Contemporary Politics and the Construction of Marxist Educational Discourse Systems
Authors: Wang Kai 
Published: February 2024

Abstract
Only by grasping the pulse of the times and continuously injecting the spirit of the times into Marxism can the construction of its discourse system have a source of living water. Based on artificial intelligence, this paper constructs the discourse system of contemporary politics and Marxism education from three aspects: synchronous resonance, comprehensive coordination, and human-computer interaction. The research data from seven universities from April to September 2022 were selected as research examples, and the degree of influence of artificial intelligence on the discourse capacity of contemporary politics and Marxism education was explored using multiple linear regression models and principal component factor analysis. The reliability test and exploratory factor analysis were conducted for the research questionnaire data, and the validation analysis was conducted for the influencing factors and influencing factors of Marxist educational discourse competence. The results show that the degree of influence of the homophily resonance ability factor on Marxist educational discourse ability is 42.78%, and the R2 test results of artificial intelligence technology homophily resonance, comprehensive coordination, and human-computer interaction are all greater than 0.5. The discourse ability of contemporary political and Marxist education is enhanced by 0.726 percentage points when university technology increases by 1 percentage point. The construction of the discourse system of contemporary political and Marxist education empowered by artificial intelligence requires deep excavation of the discourse content and the creation of high-quality discourse contexts in order to realize the full, whole and all-around nurturing of Marxist education in colleges and universities.
Exploring Dual Dimensions in Piano Performance Practice Based on Modern Digital Technology
Authors: Wang Yibing 
Published: February 2024

Abstract
The practical area of “piano performance” is one of the core areas in the piano classroom, and performance skills need to be applied in the practical area of “piano performance”. In this paper, the Leap Motion algorithm is used to extract the piano gesture movements, and the frame-by-frame processing is performed to encode the velocity direction of the fingers during the piano performance. Probabilistic predictions for forward and backward algorithmic sequences of fingers during playing are generated by using the HMM algorithm. To improve piano fingering automatic labeling, we propose combining the HMM algorithm with the judgment HMM algorithm and the Viterbi improvement algorithm for prioritizing piano fingering knowledge. The quantitative evaluation system for piano performance fingering is established to evaluate fingering in piano performance and check the performance scoring of the piano. The selection process included selecting three music clips that had a scoring rate above 0.8764, a gap between them that was not more than 0.06, and superior piano fingering generation quality. In the pre-post performance scoring of each dimension, the performer’s overall performance of the work on the overall appearance of the highest score, the highest score reached 84, the average score of 72.565, the piano performance of the follow-up effect is better. The assisted piano performance practice through digital technology helps piano players improve their performance skills and provides theoretical and practical references for the exploration of piano performance.
Discussion on the policy change and development of after-school services in basic education in the information age
Authors: Cao Lile 
Published: February 2024

Abstract
In terms of students’ actual needs and students’ diversified development needs, it is difficult for the after-school service work at the present stage to fully meet students’ actual needs. This paper applies the PMC index to the analysis of after-school service policy, quantifies the text of basic education after-school service policy, divides different after-school service policies into different grades according to their PMC indexes, and presents the PMC indexes of after-school service policy in the form of pictures. With the help of the weight value of each dimension of after-school service quality of the expert consultation method, the SERVQUAL model was used to calculate the overall perception of students on the quality of basic education after-school service and to analyze the current level of basic education after-school service quality. Strategies for optimization are suggested based on the current index and quality of after-school service policies. The results show that the PMC score of the after-school service policy in Province S in 2022 is 8.91, which is at the merit level, but the shortcoming is that the policy timeliness lacks a short-term policy goal within one year, and the mean value of students’ overall perception of the quality of after-school services in schools is 4.33, and the mean value of overall expectation is 4.401, and the overall service quality gap is −0.07. The overall service quality SQ = −0.07 < 0 Students’ perceived quality of after-school services was low. The quality of after-school services in basic education should be enhanced by enhancing its short-term objectives in the future development of the policy on after-school services.
Expression and Application of Visual Communication Elements in Graphic Design under the Background of Internet+
Authors: Bai Guiwei , Zhou Guobao 
Published: February 2024

Abstract
In this paper, HOG features are used to describe positive and negative sample images, and visual communication elements are extracted by distinguishable mean shift algorithm, and the visual communication elements finally obtained can represent the characteristics of this category and also have a good differentiation to other categories. On the basis of visual communication elements, the set generator, relationship-based discriminator and wireframe rendering discriminator are used to construct the layout generation model of visual communication elements, and the graphic design based on the generation model is empirically analyzed by means of experimental simulation analysis. The results show that after the number of iterations reaches 10,000, the fluctuation range of the generator loss value (0.237~0.154) is very unstable, indicating that the effect of the graphic design based on the generative model has a small real difference with the original image. The change of the discriminator loss value shows a trend of increasing and then decreasing, and its maximum and minimum values are 0.954 and 0.487, respectively, indicating that the input data is not trained in place, and the simple planar design, which is more biased, leads to the effect of the discriminator is not obvious. By reducing the manual operation in the design process, saving the designer’s drawing performance time, and promoting healthy development of graphic design, this study is significant.
The Innovation of Communication Mode of Hunan Sports Culture in the Internet Era
Authors: Guo Cong 
Published: February 2024

Abstract
Hunan culture is a unique cultural form in Hunan, and to some extent, it promotes the rapid development of the Hunan economy, which has a profound influence on the development of sports culture in the region. The Belo SMCR communication model is applied to the innovation of Hunan sports culture communication mode in this paper, and a system for evaluating the efficiency of sports culture communication is established. The DEA evaluation method is used to evaluate the relevant decision-making units affecting the dissemination efficiency of Hunan sports culture, and the Tobit model is introduced to analyze the influencing factors of the dissemination efficiency of Hunan sports culture. With regard to the dissemination efficiency of Hunan sports culture, the data from 2012 to 2019 are used as an example, and it is verified in terms of output redundancy, regression results and mediation effect. The results show that the redundancy of the output of Hunan sports culture on a spatial basis reaches 90.36%, the correlation coefficient of the technical input in the comprehensive efficiency of dissemination is 0.665, and there is an intermediary effect of the local culture industry on the dissemination efficiency of Hunan sports culture, with an R2 fitting value of 0.357. Creating diverse dissemination channels through the use of new technologies is necessary to effectively enhance Hunan sports culture’s communication influence in the Internet age.
The Construction and Transformation of the Discourse System of College Counselors in the New Media Era
Authors: Liu Li 
Published: February 2024

Abstract
As an important guide in the growth process of college students, how to communicate effectively with college students in discourse is a problem faced by college counselors. The LDA college counselor discourse text analysis model is created using Word2vec after processing the discourse of college counselors through text conversion in this paper. The model improves the topic resolution of the LDA model by removing the deactivated words in the discourse text and enriches the word vector data of the discourse text by combining it with the function of expanding feature words of Word2vec. The constructed model is applied to analyze the current situation of the tutor’s discourse themes and subjects by combining the topics generated during the discourse exchange between the tutor and the student and the corresponding generation probability and constructing the tutor discourse system in colleges and universities according to the analysis results. In the analysis of discourse topics, the generation probability of the topic word of personal emotion is the largest among the 20 topics, which is 0.502498, exceeding 0.5. In the analysis of the tutor’s discourse subject, the discourse subject in the sample with the lowest amount of tutor’s discourse still reaches 58.845%, and the average lexical density of tutors in the selected 40 discourse samples is 0.3732. In general, tutors’ discourse is higher, and the discourse weights of counselors and students should be evenly distributed when constructing the counselor discourse system.
Research on Digital Communication Methods for Civic and Political Education and Education Management Paths in Colleges and Universities
Authors: Huang Sisi 
Published: February 2024

Abstract
Since there are fewer studies on the integration of ideological and political education and educational management in colleges and universities at present, this paper combines digital technology to explore. After constructing the index system of the level of college civic education and education management respectively, the index system is normalized, and the coupling level of college civic education and education management is measured by combining the objective empowerment method. Based on the coupling path of the two, the SCIR model is introduced to construct the digital information dissemination model of DR-SCIR social network to explore the synergistic dissemination of the two. On this basis, taking colleges and universities in location S as an example, the digital communication mechanism of the two is analyzed while exploring the level of coupling between college civic education and education management. The results show that the coupling level between the level of college civic and political education and the level of education management are all above 0.9 during 2013-2022 in place S, which is in the highly coupled interval, while the coupling coordination degree in 2019 exceeds 0.5 for the first time. During the process of information dissemination rate increasing from 0.4 to 0.8, the peak value of the dissemination of the information dissemination state of the college’s civic and political education decreases by 0.04, which corresponds to the dissemination of the information dissemination state of the education management the peak value of dissemination of the state increases by 0.03. The paths of higher education, civic education, and education management compete to actively guide the overall development of students.
Research on Precision Education Management Strategies for College Students Based on the Background of Informatization Innovation and Entrepreneurship
Authors: Wang Hui , Fan Pengfei 
Published: February 2024

Abstract
The complex new media environment has brought greater challenges to the education and management of college students in colleges and universities, and put forward higher requirements for the work of college students. In this paper, based on the Apriori algorithm of association rules, we extracted frequent itemsets from students’ performance data sets, and mined the association rules between students’ behaviors and the risk of failing the exams according to the confidence level and support level. The potential influence variables of students’ innovation and entrepreneurship ability are explored through factor analysis, the intrinsic connection between the original variables is analyzed, and structural equations are used to verify the fit and aggregation of the obtained factors. Based on the information on correlation rules between students’ behavior and performance, precise performance management strategies for students are proposed, and targeted management methods for innovation and entrepreneurship education are formulated. The results indicate that the level of interest correlates with the enrollment grades of A and D, which are respectively 0.569 and 0.403. The degree of support, confidence Xing, and the degree of interest of the student’s enrollment grades of D and graduation grades of A are 0.234, 0.535, and 0.694. It shows that the student’s grades have a strong correlation with their interest in learning, and the education management should pay attention to the cultivation of the student’s interest in learning.
A Semantic Map Study on the Rules of Place Names Setting in Ethnic Minority Areas in China
Authors: Yang Ya , Duan Jingjing 
Published: February 2024

Abstract
In this paper, for the information categorization of toponyms in ethnic minority agglomerations, different cultural partitioning results are derived by combining the region of interest model, which constitutes a specific semantic map of the region of interest model, i.e., a semantic map of the toponymic structure. The preference index of toponymic culture is taken as a feature variable, and the calculation of toponymic similarity in ethnic minority agglomerations is realized by adopting the method based on the difference of feature vectors. Dynamically determining the weights is used to evaluate the semantic similarity of spatial data for place names. To examine the distribution characteristics and distribution patterns of place names in ethnic minority agglomerations, kernel density and logistic regression models are utilized. The ratio of the number of place names of each ethnic group to the total number of county units is analyzed by Moran’s I index to obtain the spatial autocorrelation distribution direction of the distribution of place names in Yunnan Hani Autonomous County. The analysis shows that the spatial autocorrelation index of the Hani ethnic group is 0.3524, which mainly falls in the first, second and third quadrants, where the first quadrant indicates that the area around the region with a higher proportion of Hani ethnic group place names is likewise a positively correlated region with a higher proportion of Hani ethnic group place names. As per the semantic map analysis results, the spatial distribution of the population closely corresponds with the distribution of toponyms in ethnic minority areas.
Generative Adversarial Network-based Data Recovery Method for Power Systems
Authors: Yang Di , Ji Ming , Lv Yuntong , Li Mengyu , Gao Xuezhe 
Published: February 2024

Abstract
Facing the problem of power system data loss, this paper proposes a power system data recovery method based on a generative adversarial network. The power system clustering method utilizes aggregated hierarchical clustering and takes into consideration the similarity between different power system data. To transform the power system data recovery problem into a data generation problem, an improved GAN network data analysis method is proposed that utilizes LSTM as a generator and discriminator. Through experimental tests, the LSTM-GAN method is tested with the LSTM method, interpolation method and low-rank method to compare its effect on lost data recovery under different signals of power system data static and dynamic and four fault scenarios. The results show that the root-mean-square errors of the LSTM-GAN method for recovering data under static-dynamic fluctuations are less than 1.2%, and the difference between the errors under 55% and 15% missing data conditions is only 0.77%, with the highest data recovery error of 2.32% in the power system fault scenarios. Therefore, the GAN-based power system data recovery method can effectively realize the recovery of lost data.
Research on Digital Transformation of Vocational Education in the Era of Big Data
Authors: Ning Jincheng , Zhi Gang , Sun Zhenhua 
Published: February 2024

Abstract
In the process of development and transformation of vocational education, it is difficult for traditional methods to carry out a digitalized and accurate description of it. Aiming at the construction of the discipline of vocational education, this paper innovates the teaching method by constructing a knowledge graph and uses TF-IDF as the keyword extraction algorithm for entity extraction. To ensure that entity words are recognized accurately, LSTM neural units are utilized to eliminate problems related to gradient vanishing and explosion. On this basis, knowledge graphs are used to integrate heterogeneous data from multiple sources to apply knowledge graphs to the recommender system to create a personalized teaching model to provide schools with a digital transformation method for vocational education. Two different vocational schools tested the model design after it was completed. The analysis of the data revealed that knowledge points experienced an average decrease in error rate of 10-20%. The error rate of knowledge points 10, 11, and 12 did not change much, but the rate of student guessing decreased to 0. The percentage of users who improved their grades in the experimental class using the system by more than 0% was 5.90% higher than that of the normal class, the percentage of those who improved by more than 5% was 5.28% higher, and the percentage of those who had great improvement was 1.90%.