bluuebunny/crossref_metadata_2025_split huggingface dataset:
Imagery Recognition and Semantic Analysis Techniques in Chinese Literary Texts
Authors: Zhang Wenfu 
Published: April 2024

Abstract
Chinese literary texts contain a sizeable vivid imagery vocabulary, which makes it difficult for average readers to judge the boundaries between words, and the current pre-trained language model is also difficult for them to learn its implicit knowledge effectively, which brings troubles to machine semantic analysis. The study uses CRF training to obtain a semantic analysis model of Chinese literary texts that recognizes the semantic relationship between two words. SVM is used to train classifiers for confusing categories, and the two semantic relations in the output of the CRF model are further recognized to determine the final semantic relations between word pairs. Finally, the LCQMC dataset is used as the experimental data, and the semantic analysis technique based on CRF and SVM is employed to obtain the participle, lexical, and dependent syntactic annotations. According to the results, the model’s correct rates on the LAS for paraphrase recognition and dependency analysis of Chinese literary texts are 74.83% and 92.05%, respectively. The study enhances the efficiency of semantic analysis of relevant Chinese texts and is crucial for the study on the semantic analysis of terms.
The role of social media data analytics in rural tourism market trend forecasting
Authors: Zhang Zhe , Dai Minghua 
Published: April 2024

Abstract
The rapid development of social media provides new means for market trend and quotation prediction. This paper realizes market trend prediction by performing TF-IDF keyword extraction and vectorization on social media data, improving the deep typical correlation analysis to realize semantic mining, and constructing a consumer intention mining method based on social media data. The rural tourism market trend prediction for Haikou City, Hainan Province, China focuses on examining the number of tourists and the economic income of rural tourism. The future number of inbound tourists and the total number of tourists in Haikou City will still show an upward trend overall, with the total number of tourists predicted to reach 73,641,100 in 2028. With the continuous development of rural tourism, the tourism economy of Haikou City reaches 67.068 billion in 2022, an increase of 259.67% from 2008, and is predicted to double in 2027, and is expected to reach 148.282 billion in 2028. The number of overseas tourists and foreign exchange earnings from rural tourism will continue to increase.
Research on the core ability cultivation mechanism of college students returning to their hometowns for innovation and entrepreneurship under the strategy of rural revitalization
Authors: Liu Limin , Liu Jieshu 
Published: April 2024

Abstract
This study explores the innovation and entrepreneurship capabilities of college students who return to their hometowns, particularly within China’s rural revitalization strategy. By constructing a comprehensive framework, this paper examines four key dimensions that influence these abilities, employing logistic regression analysis to assess the impact of various factors. Notably, including policy support as a variable in Model 2 significantly enhances the Model’s explanatory power by 22.4%, a statistically significant finding (p < 0.001). This underscores the critical role of policy support in bolstering students’ innovation and entrepreneurial skills. Further, through applying structural equation modeling, this research delves deeper into the nexus between policy, institutional environments, and the cultivation of core entrepreneurial competencies, offering insights into the external factors that facilitate competence development. The Model’s hypotheses are rigorously tested for fit, confirming the effectiveness of the proposed framework in understanding and supporting the entrepreneurial endeavors of returning college students.
Precision Teaching of Civics Integration in Universities and Primary Schools with Individual Differences in the Age of Artificial Intelligence
Authors: Jia Yu 
Published: April 2024

Abstract
Leveraging the unique capabilities of intelligent technologies, this study presents an advanced approach to Civics and Politics education, emphasizing personalized and multimodal teaching strategies suitable for various educational stages. We establish an Integrated Civics and Political Teaching Platform using multimodal feature fusion algorithms coupled with personalized recommendation techniques. This platform incorporates genetic algorithm-based analysis of students’ learning behaviors, facilitating a Precision Teaching Service Model that tailors education to individual needs. A comparative study of semester scores highlights the model’s effectiveness: notably, a substantial 19.89 point increase in declarative knowledge scores and a significant reduction in the variability of strategic knowledge scores by 5.28 points. These results affirm the benefits of personalized teaching in enhancing student outcomes in Civics education.
Research on Rural Social Governance Approach under the Threshold of Spatial Theory
Authors: Lin Miao 
Published: April 2024

Abstract
This study employs spatial theory to investigate rural social governance, revealing how it influences the spatial layout of rural settlements. By utilizing GIS spatial analysis and spatial autocorrelation methods, we systematically categorize and organize rural territorial spaces, developing an optimal regional planning system for rural areas. Through spatial econometric analysis, we examine selected villages’ comprehensive governance levels and ecological governance efficiency. Our evaluation focuses on five key areas: economic development, public services, social order, environmental livability, and overall governance effectiveness. Findings indicate a significant annual growth in the villages’ overall development level by 14.6%, with rural governance effectiveness improving from 0.819 to 0.859 between 2012 and now. Moreover, disparities in governance effectiveness within these areas are narrowing. This research broadens the scope of rural governance studies through a spatial lens, offering valuable insights and benchmarks for future inquiries.
Gray correlation analysis of strategic human resource management and corporate performance
Authors: Liu Yuxuan , Zhang Huiling 
Published: April 2024

Abstract
In today’s competitive business landscape, effective human resource management (HRM) is pivotal for the growth and performance of enterprises. This study uses gray correlation and multiple regression analyses to investigate the connection between HRM practices and corporate performance. We developed an evaluative framework to assess the impact of strategic talent management on company outcomes. Survey data were analyzed to unveil the dynamics between HRM variables and corporate performance. Our findings highlight a significant relationship between employee recruitment, incentive programs, promotion pathways, and an innovative culture with corporate success, with p-values less than 0.01. Notably, stock options (0.354), bonus schemes (0.325), and promotion opportunities (0.331) show the strongest correlations. The gray correlation analysis further indicates that the HRM-performance linkage in three surveyed companies exceeds 0.7%, underscoring HRM’s vital role in enhancing enterprise performance. This research presents gray correlation analysis as an effective tool for businesses to evaluate the impact of their HRM strategies on performance.
Research on the Construction and Effectiveness of Teaching Resource Sharing Platform for Art and Design Majors
Authors: Peng Yiqing 
Published: April 2024

Abstract
In the information society, the sharing characteristics of Internet information provide students with rich teaching resources. This study integrates Hadoop technology with the teaching resource sharing system for art and design majors in colleges and universities. It builds an open-source parallelised computing and distributed architecture based on the traditional B/S model, using the distributed file system HDFS to store massive teaching resources. On this basis, MapReduce, a parallelised programming model, is used to provide parallel computing retrieval functions, and the innovative contract technology of blockchain is introduced to store data-heavy shared teaching resources in the underlying IPFS to ensure the security and trustworthiness of shared data. The results show that under the blockchain environment, the retrieval time of teaching resources is as low as 12ms only, and the Gas value consumed by the operation of storing data totals 0.1385 ETH, which meets the performance requirements of the platform and provides a new practical solution for sharing teaching resources.
A Study on the Precision Effect of Blended Learning in English Teaching and Learning
Authors: Wang Aifei 
Published: April 2024

Abstract
Realizing personalized and precise teaching using traditional English methods is challenging. This paper proposes a blended precision teaching model that relies on student portraits, using technical methods to provide tailored learning resources for every student. A deep neural network is used to extract student features, and the k-means algorithm is used to construct a clustered portrait of students. Based on the student portraits, the similarity between student objects is calculated, and the collaborative filtering method is combined to achieve personalized recommendations for English learning resources. And the learning warning model is established by considering the ranking order relationship when predicting students’ English scores. Setting up the experimental class and the control class to analyze the effect of blended teaching precision, in terms of English scores, the average score of the experimental class is 6.06 points higher than that of the control class, with a significant P-value of less than 0.05, which shows a considerable difference. Its classroom teaching observation dimension score totaled 91.6, students’ classroom performance and teaching effect performed well, English literacy was improved, and the mean values of each satisfaction of emotional experience showed significant differences (P<0.05). The mean values of several dimensions of learning motivation were higher than those of the control class, with highly significant differences in the dimensions of extrinsic goal orientation, learning beliefs, and intrinsic goal orientation (P<0.01).
A Study of Marketing Capabilities and Their Performance Impact Based on SWOT Matrix Modeling
Authors: Wang Jianrong 
Published: April 2024

Abstract
Marketing capability is a vital resource capability, this paper first utilizes the gradient descent algorithm to calculate the matrix decomposition problem and mine the relevant data of marketing capability. Then combined with the ANP algorithm, it solves the problem of the SWOT algorithm being unquantifiable. It constructs a SWOT-ANP strategy analysis model, and empirically examines the influence of enterprise strategy and performance. The model is applied to the enterprise’s marketing capability, with performance relationship as the target layer, SWOT as the criterion layer, and the weight values of 15 influencing factors are calculated through the network hierarchy. The weight of the opportunity layer in the local weight is higher than that of the disadvantage layer, which leads to the influence of sub-influence factors, and the highest weight of the disadvantage influence factor is 0.04388 lower than the lowest influence factor of opportunity. Combining with the factor intensity score value, the integrated performance influence of O, T, S, and W is calculated to be 8.438, 6.00747, 7.42637, and 7.69062, respectively, and the sample is obtained through the strategy positioning The development strategy of the enterprise is S-T strategy.
Comprehensive Evaluation of KOL’s Guiding Mechanism and Influence in E-commerce Live Streaming Carrying Mode
Authors: Luo Jie , Lv Xiaohui , Liu Hongya 
Published: April 2024

Abstract
In the rapidly evolving live broadcast economy, Key Opinion Leaders (KOLs) are reshaping e-commerce by promoting products in real-time. Our study investigates this phenomenon using a sophisticated model of user interaction and behavior guidance among KOLs. By proposing a multichannel decision-making model that includes KOLs, brands, and traditional retailers, we aim to understand the dynamics of profit-driven decisions and their impacts. Analyzing data from 25 KOL anchors, we find a notable trend. Despite positive skewness in daily sales and conversion rates, there’s a range of fluctuation (0 to 13) that hints at diminishing returns from KOL live broadcasts, ultimately affecting the effectiveness of influencing consumer behavior.
Innovative Research on the Volunteer Service Work of College Students’ Civilization Practice in the Context of the New Era
Authors: Liu Jingwen 
Published: April 2024

Abstract
This study explores how motivation and incentives impact college students’ volunteer service within civil practices. Utilizing a factor analysis data model, we constructed factor loadings for volunteer service work, rotated the factor matrix, and estimated the correlation coefficients of factors using regression methods. Our “motivation-incentive” analytical model frames this research, alongside proposed hypotheses. Descriptive analysis of the sample confirmed these hypotheses. Results reveal a significant path coefficient of 0.224 (p < 0.001) for engagement on continued volunteering willingness, underscoring engagement’s positive influence. Furthermore, positive emotions in volunteering motivation significantly correlate with engagement and sustained service willingness (coefficients: 0.315, 0.745, 0.269; p < 0.01), serving as a mediator. This study elucidates the mechanisms of influence in volunteer work, offering theoretical guidance for enhancing college students’ participation in civilized practice volunteer services.
Metaphorical Interpretation of Early Works of Art Using Symbolization Methods
Authors: Wei Ping 
Published: April 2024

Abstract
The unique style of early works of fine art depends on the infinite derivation of the image factor symbols metaphorically behind them, so the symbolic interpretation of early works of fine art is a search for the missing beauty of contemporary art. In this paper, we start from multi-scale association rules, use Gaussian pyramid and cubic convolution methods to extract image metaphor features in fine art works, and weight the features. Based on Putschke’s emotion classification, a multimodal metaphor dataset is constructed. The symbolization method is used to represent the symbolic emotions in the art works, and then the bidirectional Bi-LSTM model is used for recognition. On this basis, using the model constructed in this paper, the symbolic and imagery features of art works are analyzed, and the symbolic techniques of art works are interpreted from three perspectives: brushstroke, color, and spatial metaphor. Structural metaphors in fine art works contain 40% neutral emotions, followed by 36.4% positive emotions. Stroke A has a higher mean score at 3 and 4 line sample points, respectively, of -1.1646 and -1.1106, and the emotions triggered by these two line samples are more significant. Interpreting early art works can help enhance the aesthetics of contemporary art for modern audiences.
Teaching Quality Assessment of English Courses in Colleges and Universities Based on ISSA-DRNN
Authors: Yu Guoying , Li Jun 
Published: April 2024

Abstract
The optimized sparrow search algorithm (ISSA) is built on top of the deep neural network (DNN) in this paper, along with a new deep recurrent neural network (DRNN) algorithm that is proposed by improving the DNN. Ultimately, an ISSA-DRNN-based model for assessing the quality of English course teaching has been established. To examine the application impact of the ISSA-DRNN-based English course quality teaching evaluation model, SA University has been chosen as the study location. Two groups have been created: an experimental group and a control group. The experimental group’s academic level scores grew by 5.1 points in terms of English achievement, whereas the control group’s average score increased by 0.36 points, indicating a very significant difference (P<0.01). The four characteristics of satisfaction with teaching effectiveness—interest in learning, ability improvement, desire to learn behavior, and course satisfaction— showed significant differences (P<0.05) among students in the experimental group. In the self-assessment of English literacy, the dimensions with the most important proportion of “relatively large” ratings are learning motivation and class participation, accounting for 43.73% and 42.92%, respectively. The dimensions with the highest proportion of “substantial” grades are English learning ability and learning motivation, accounting for 21.03% and 20.63% in that order.
Design of Intelligent Interactive Teaching System for College English Based on Streamlined Bilinear Attention Networks
Authors: Yu Guoying 
Published: April 2024

Abstract
Intelligent methods such as deep learning provide an innovative optimization path for English teaching in colleges and universities. In this paper, the attention mechanism is based on traditional CNN. Embedded attention and multilayer convolutional feature fusion are used to complete the design of streamlined bilinear attention networks. The streamlined bilinear attention network is used to obtain the characteristics of students’ classroom behavior in the process of English teaching, combine the characteristics of students’ classroom behavior and computer programming language to design and implement the intelligent interactive teaching system of English in colleges and universities, and test and apply the analysis of the intelligent interactive teaching system of English. The results show that in the query performance test report, even though the number of requests issued in the test is 2,000, the error rate is always kept at 0, the throughput is 39.8, and the response time is kept at 95~1144s, which indicates that this system can meet the performance requirements with a moderate number of users. In the application analysis, the total score of the teaching method of English Intelligent Interactive Teaching System (mean=94.62) is higher than that of the traditional English teaching method (mean=89.65), which indicates that the teaching method of English Intelligent Interactive Teaching System is more capable of improving the interaction and communication ability of the students in English teaching. The system constructed in this study can meet the diverse needs of students and contribute to the quality improvement of English teaching in colleges and universities.
Research on the Influence of Modern Informatization Technology on English Education and Teaching in Colleges and Universities
Authors: Zhang Hui , Wang Suxi 
Published: April 2024

Abstract
With the development of modern informatization technology, how to combine modern informatization technology with English education and teaching in colleges and universities has become a key research direction in the current education sector. This paper proposes English information literacy education and teaching based on linear regression. The research problem and object are identified based on the current situation of English education and teaching in colleges and universities, and then a research design program is developed. Using a combination of linear regression algorithms and statistical analysis software, the mechanism of the influence of modern information technology on English education and teaching is analyzed by example. The results show that the average pre-test score of students at the intermediate level is 83.854 points. In comparison, the post-test score is 89.789 points, and the post-test score is about 5.935 points higher than the pre-test score, which indicates that there is a significant improvement in the English scores of students at the intermediate level after English informatization teaching. Taking English informatization teaching as the dependent variable and “teaching equipment” and “class size” as the independent variables, the regression equation of English informatization teaching = 0.215×teaching equipment+0.144×class size. This study has a far-reaching and positive impact on improving the quality and level of university English teaching, making teaching methods richer and the teaching effect more significant.
Research on the Influence of Cultural Confidence on the Diffusion and Exchange of Music Culture in the Central Plains-Based on Multiple Logistic Analysis
Authors: Gu Na 
Published: April 2024

Abstract
The music culture of the Central Plains is one of the very distinctive and representative national music cultures, and exploring the impact of cultural self-confidence on its dissemination helps to better propose development strategies. According to the construction principle, this paper determines the evaluation index system for the level of cultural self-confidence in music culture in the Central Plains, and a total of 30 evaluation indexes are selected. A multivariate logistic model is constructed to analyze influencing factors by incorporating relevant variable indicators into the statistical analysis. Based on the preliminary interpretation of the indicators, four research hypotheses on cultural self-confidence, communication, and exchange of music culture in the Central Plains are proposed. Sample screening is conducted for the primary audiences of music culture in the Central Plains, and valid data are collected, tested, and correlated. The results show that the overall cultural confidence of the sample is moderately high, with the mean values of the indicators ranging from 3.4086 to 4.0229, 3.1922 to 4.0282, 3.5224 to 3.9935, and 3.3414 to 3.9225, respectively. The multivariate logistic regression coefficient for confidence in the music culture of the Central Plains’ ability to communicate and disseminate is 1.3521, showing a significant positive correlation at the 0.01 level.
The Use of Visual Communication Technology in the Cultural Connotation and Design Expression of Traditional Cultural and Creative Products
Authors: Liu Lu 
Published: April 2024

Abstract
Traditional cultural and creative products need to be combined with cultural connotations on the basis of traditional cultural products, and modern visual communication design laws and design theories are used as the methods to broaden the product display medium and extend the product value. In this paper, we first sort out the cultural connotation of cultural and creative products and the design and development motives and explore the specific implementation path of cultural and creative product design based on visual communication design. Secondly, it studies the extraction of visual elements of traditional cultural and creative product patterns by the SURF image feature extraction method. Firstly, it realizes the acquisition of styling visual elements by the Canny operator in the edge detection algorithm. Then it acquires accurate color visual elements based on the K-Means primary color extraction algorithm improved by the contour coefficient method. In the traditional cultural and creative product design examples, it is found that the average Dice conventional culture coefficient image extraction based on the SURF method is 0.731, and the structural similarity of primary color extraction reaches 0.792 with the original image of traditional culture. Traditional cultural and creative products have a comprehensive evaluation score of between 4.3 and 4.5, which indicates high satisfaction. Carrying out the design of conventional cultural and creative products with visual communication design, its central performance is in visual attractiveness and formal innovativeness in order to burst the vitality of traditional cultural and creative products.