bluuebunny/crossref_metadata_2025_split huggingface dataset:
User Behavior Analysis and Market Forecasting of Agricultural E-commerce Platforms
Authors: Zhu Hongjing 
Published: July 2024

Abstract
In recent years, the burgeoning interest of enterprises in the e-commerce sector has underscored the necessity for effective analytical tools that monitor user engagement on agricultural products’ e-commerce platforms and provide precise market forecasts. To address this need, the current study proposes an analytical framework and develops a comprehensive market prediction system for agricultural products. Initially, behavioral analysis indices on the e-commerce platform are employed to delineate user behavioral patterns, which include traffic and purchase path analyses. Based on a case study, enhancements are made to the conventional RFM (Recency, Frequency, Monetary) customer behavior model, both strategically and structurally, thus enriching the analysis of user behavior on such platforms. Subsequently, a four-tiered e-commerce market prediction system is established, incorporating a multilayered deep learning network designed to anticipate market trend shifts. The analysis reveals that the application of deviation standardization processing significantly refines the representation of user behavior to the platform’s merchants. Moreover, the implementation of this market prediction system not only reduces processing time from 8 seconds to 4 seconds but also decreases the average relative error by 0.31%. These improvements highlight the system’s enhanced predictive accuracy, confirming its utility in navigating the complexities of the agricultural products market in the e-commerce domain.
Research on the Reform of Higher Vocational English ESP Teaching Mode Oriented by Vocational Needs
Authors: Qiu Xuyan 
Published: July 2024

Abstract
Based on the theoretical knowledge of ESP teaching, this paper constructs a vocational demand-oriented ESP teaching model for higher vocational English and analyzes the structure and implementation principles of this teaching model in depth. The non-English major full-time higher vocational students enrolled in 2022 at a regional higher vocational college are selected as the research sample, and they are experimentally grouped. A questionnaire was used to obtain the data for analyzing the effect of the ESP teaching model of the study, and the mean IUT and standard deviation F test in the significance test method were used to test the significance of the collected data. Data summarization: compared to the English interpreting pre-test scores, the mean interpreting score of the experimental group increased by 0.469, and the mean interpreting score of the control group increased by 0.223. The t-statistic of the interpreting post-test scores was 4.105, and the corresponding p-value was 0.003<0.05. There was also a mean score of the experimental group’s English translation post-test scores that was higher than the control group’s score of 5.923, and the value of the p-value was 0.036. Overall, there is a significant difference between the control group and the experimental group in both English translation and English interpretation scores. In order to improve the final ESP teaching model, a reform strategy based on vocational needs is proposed.
Exploring the Status Quo and Teaching Mode of College English Education in the Information Age
Authors: Duan Lina 
Published: July 2024

Abstract
With the rapid development of the information age, new technological means are constantly applied to the field of education and produce good results. This paper uses data mining algorithms to extract and analyze data on college English education and explore how to adjust the teaching methodology. On the basis of improving the inherent defects of the DPC algorithm, this paper determines the clustering center through a scoring function, uses the K-neighbor method to form the cluster backbone, and proposes a nearest-neighbor-based label propagation method to propagate the labels to their adjacent nodes to complete data mining. After mining and analyzing the current situation of English education, it was found that the age group over 30 years old accounted for 77.6%, female teachers accounted for 74.6% of the total number of teachers, teachers with the titles of lecturer and assistant professor accounted for 58%, and 33% of the students were not too satisfied or dissatisfied with the content of the English course. It shows that the English teaching team of universities in this province has shortcomings such as gender imbalance, insufficient young and senior teachers, and less than satisfactory content of English courses, which need to be improved in several aspects.
An Exploration of Tourism’s Intelligent Transformation and Development Driven by Big Data
Authors: Chen Haibin 
Published: July 2024

Abstract
The article explores the value mining of big data in the intelligent transformation of tourism through the construction and practice of tourism big data intelligent evaluation index system. At the same time, it has done extensive research on specific intelligence methods and developed a range of models and algorithms that have practical application value. Firstly, the entropy weight method is used to evaluate the measurement, obtain the corresponding information entropy, and quantify the difference in the degree of information contained in the index system. Then, according to the principle of scientific and collectability of the indicator system, scholars formulate the indicator system from the three levels of tourism demand, tourism supply, and tourism support by drawing on the relevant literature review so as to construct the evaluation indicator system and measure the overall development level of tourism. Finally, specific methods for tourism intelligence are listed and recommended, including the release of tourists’ behavioral data through a data access processing module and persistent storage. As well as collecting buried records, we aim to understand the tourists’ preferences. According to the experimental analysis, the Tourism resource level experienced a multiplicative increase of 2.85 from 3.25 to 6.1 in 2019. gxlljw66 tourists reached the maximum value of 8 on the number of transactions, bamull123. Although it was higher than gxlljw66 tourists on the Number of transactions is slightly less than that of gxlljw66, its overall value is also very good. These values verify the important role of big data technology in tourism and provide a useful reference for the development of intelligent tourism transformation.
Analysis of the impact of rural tourism culture on the improvement of the level of public services
Authors: Ding Liming 
Published: July 2024

Abstract
This paper first evaluates and analyzes the level of public service development from the dimensions of public information service, public transportation service, and infrastructure service using the entropy value method. Then, it studies the correlation between rural tourism culture and public service level from a qualitative perspective and then uses the threshold regression model and dynamic panel model to test the impact of rural tourism and culture industry and rural tourism and culture resources on the high-quality development of public services. After testing, the regression coefficient value of rural tourism and culture industry on the high-quality development of public services is 0.786, and the impact of rural tourism and culture resources on the improvement of public service level is significant at the level of 10%. The specific impact of rural tourism and culture on the efficiency of public services is fully explored in this study, which provides a theoretical basis for optimizing the efficiency of public services.
Dynamic Game Analysis of New Business Subjects for Rural Revitalization Development
Authors: Kang Jianlin 
Published: July 2024

Abstract
The development of new business subjects is an important force for the implementation of rural revitalization strategy, which is of great significance for the realization of agricultural modernization. This paper constructs a dynamic game model of the tripartite business subjects of the government, enterprises, and farmers, focuses on the evolutionary game process of the new business subjects to promote the development of rural revitalization, carries out the dynamic game analysis of the model at the macro level, micro level, macro and micro level and multi-level, and performs numerical simulation on it. Then, taking the development of new management subjects in a certain place as an example, the game model is used for example verification, and the optimization path of new management subjects to promote the development of rural revitalization is further proposed. The results show that among the eight evolutionary paths (1, 1, 1) is the optimal choice for new management subjects to promote rural revitalization and development, and when the government is highly supportive, the enterprises actively cooperate, and the farmers participate in generating the operation, the interests among the subjects can be maximized. The benefits of new business subjects at the equilibrium benefit point in the example analysis are close to the actual situation, reflecting the effectiveness of the game model. The role of new business subjects in promoting the development of rural revitalization should be optimized by gathering modern production factors, improving the mechanism of interest relations, establishing new urban-rural relations, guiding large-scale operations, and cultivating talents.
Cultivation and Implementation of Craftsmanship in Vocational Education in the Context of the New Era
Authors: Gu Ying 
Published: July 2024

Abstract
The components of vocational education talents and the relationship between the development of handicraft and vocational education are examined in this study. Next, using the independent samples t-test, it examines the general state of vocational school students’ recognition of quality as well as the variations in craftsmanship levels between students with varying majors, genders, grades, and internship experiences. Then, using Pearson’s correlation coefficient method, the relationship between students’ craftsmanship and the theoretical curriculum teachers, practical activities, and other factors at the school was investigated. The multivariate linear regression model was used to analyze the factors that influence the cultivation effect of craftsmanship. The road map for developing craftsmanship in vocational education is finally developed. According to the study, there is a significant positive correlation between all the factors and students’ artisan spirit. The correlation coefficients between the campus environment, theoretical courses taught at the school, teachers, practical activities, personal career planning, and personal artisan literacy are, respectively, 0.55, 0.56, 0.57, 0.99, and 0.53, all of which are greater than 0. This study offers concrete and workable methods for fostering craftsmanship in today’s students, which is crucial for enhancing talent development and advancing the growth of the manufacturing sector.
A Study of the Effectiveness of Popularized Perceptions of Religious Culture in the Context of Deep Learning on the Diffusion of Racial Justice Ideas
Authors: Wang Xiangyi 
Published: July 2024

Abstract
In the long historical evolution of humanity, religion has always demonstrated social, and cultural patterns and historical forms and has silently influenced some people’s ideological concepts and moral behaviors at all stages of development. This paper uses deep learning to investigate how the popularization of religious culture affects the dissemination of the concept of racial justice. The LBP-ORB algorithm model is constructed for the popularization method of religious culture, which is based on the improvement of the ORB algorithm, and the cognitive degree of different religious cultures can be improved by feature extraction through the LBP-ORB algorithm model. The model of this paper will be compared experimentally and then through fieldwork. The LBP-ORB algorithm model will be used to extract the features of local religious culture and popularize the local youths. Based on the analysis results, we explore the effect of the popularization of the cognition of religious culture on the spread of the concept of racial justice. After the popularization of religious culture, the college student group and middle school student group’s knowledge of the concept of racial justice increased substantially, with the number of people familiar with the college student group increasing by 88 and the number of people with general knowledge increasing by 122. The number of people in the middle school student population who were familiar with it reached 112, and the number of people with a general understanding reached 92. This paper’s LBPORB algorithm model has significantly increased the dissemination of the concept of racial justice after popularizing religious culture.
Classification of Physical Education Teaching Models Based on VAR Model and Its Application Research
Authors: Li Yan , Yin Yue , Sun Jingyan 
Published: July 2024

Abstract
With the rapid advancement of science and technology, the types of physical education teaching modes show a diversified development trend. This study classifies physical education teaching modes into hybrid physical education teaching, “5E” physical education teaching, and happy physical education teaching, analyzes the teaching effectiveness of the three physical education teaching modes through the SVAR model, and explores the correlation between the three physical education teaching modes and teaching effectiveness. Following the teaching experiment, both hybrid and happy sports teaching had more than 70 excellent students, while average students decreased by 45 and 36, respectively. In experimental group B, the number of excellent students only increased by 4, while the number of average students only decreased by 9. Mixed and happy physical education have significant effects on improving students’ physical fitness, while the “5E” physical education model only has significant effects on the 50-meter run and 1-minute rope skipping assessment. The blended physical education teaching mode significantly enhances sprinting, sit-ups, and pull-ups, whereas the happy physical education teaching mode does not significantly correlate with the five dimensions of basic skills. Conversely, the “5E” physical education teaching mode significantly enhances sprinting, seated forward bending, sit-ups, and pull-ups.
The construction of a preschool education program based on the BYOD model under the OBE philosophy
Authors: Huang Cuihua , Qin Zehu 
Published: July 2024

Abstract
BYOD mode is a new form of intelligent education and an inevitable requirement for the development of higher education informatization. A model of influencing factors of preschool education satisfaction based on BYOD mode is constructed by the study, which selects relevant factors and sets research hypotheses. Taking the preschool education majors of five colleges and universities in a certain place as an example, the study collects data and then carries out correlation analysis and step-by-step regression analysis to analyze the degree of influence of each variable on preschool education majors’ course satisfaction. Combined with relevant concept combing, a teaching model based on the OBE concept for preschool education major courses is constructed, based on which intervention experiments are carried out on two preschool education major classes of students in a certain university to investigate the teaching effect of the constructed BYOD teaching model. All seven selected variables positively affected the satisfaction of the preschool education major program, with learning motivation (0.648) and perceived validity (0.407) having the most significant positive effects on the most predictive factor, learning satisfaction. After the teaching experiment, students in the test class improved by 19.05% and 17.63%, respectively, in learning intentions and overall quality and were 15.46% and 15.27% higher than the control class. The BYOD-based teaching model used in preschool education programs has a good effect on students’ learning intentions and comprehensive quality.
Digital Technology-Driven Transformation of Teaching Model of Digital Animation Major and Enhancement of Students’ Artistic Literacy
Authors: Li Siyao 
Published: July 2024

Abstract
Digital technology, at the center of the fourth technological revolution, is currently transforming all aspects of people’s lives and learning in an unprecedented manner. In light of the ongoing advancements in education technology, this study introduces an enhanced C-ADDIE teaching model, which is competence-oriented and builds on the foundation of the traditional ADDIE model while also catering to the needs of students majoring in digital animation. The enhanced fuzzy clustering algorithm establishes a portrait of the student’s behavior, followed by the introduction of a multi-attention mechanism that builds a digital professional student performance prediction model and a supplementary teaching system. We are developing a teaching model that integrates digital technology with the C-ADDIE model. The testing of the teaching system reveals that the grade prediction accuracy ranges from 88% to 98%, with an average prediction accuracy of 93.02%. The average response time is 1.5ms, the CPU usage remains stable between 5% and 23%, and the overall performance of the teaching system is good. The results of the teaching experiment show that the average grade of the teaching mode of this paper is 5.28 points higher than the average grade of the traditional teaching mode, and at the same time, it also has a significant effect on the improvement of knowledge cultivation, artistic expression and creativity, and artistic aesthetic cultivation of artistic literacy (P<0.05). This study’s results contribute to the transformation of teaching in digital animation and offer a new research idea to enhance students’ artistic literacy.
Optimization of the Path of Collaborative Parenting between Civic Work and Student Management in Colleges and Universities under the Background of Informatization
Authors: Liu Zhuping 
Published: July 2024

Abstract
This paper uses the statistical analysis model and covariance analysis model to study the teaching effect of Civics and Politics in colleges and universities from the dimensions of students’ values, academic situation analysis, and classroom participation, investigates the students’ satisfaction with the comprehensive quality of the student management workers, their management attitude and management effect, and evaluates the overall effect of the management of students in colleges and universities. Finally, we analyzed the relationship between college civic politics and student management and created an innovative approach to cultivating college civic politics and student management synergistically. The results indicate that the average value of each dimension of student values in Civic and Political Teaching is greater than 4 points. The students were satisfied with the overall quality of managers, management attitude, and management effect, with a satisfaction rate of 82.41%, 75.68%, and 68.10%, respectively. This study provides a comprehensive theoretical system and reference materials for managing moral education in colleges and universities and serves as a guide for future students’ moral education management.
Comparative Analysis Between 4G LTE and 5G NR: An Evaluation of Cellular Communications For V2X Technology
Authors: Lazăr Răzvan-Gabriel , Căruntu Constantin-Florin 
Published: July 2024

Abstract
Cellular Vehicle-to-Everything (C-V2X) technologies are to allow vehicles to exchange information with each other, with the network, but also with other road users, based on secure, reliable, and high-capacity communication links. The use of C-V2X leads to improved road safety and traffic efficiency, over-the-air software updates, pollution reduction, and remote driving, which in the end support the implementation of autonomous vehicles. The main cellular communication standards used within the C-V2X technology are the following: 4G Long-Term Evolution (LTE) and 5G New Radio (NR). This paper follows both a theoretical analysis of cellular communications in the V2X technology, through a comparative analysis of the contribution of each of them concerning the offered technical specifications, and a practical part, where various performance indicators were validated using the Simu5G simulator, which can simulate wireless communication networks and network components with a behavior close to that experienced in real-life.
Gamification of Post-Stroke Neuromotor Rehabilitation Exercises Using Hand Tracking In VR
Authors: Apăvăloaiei Robert-Florin , Achirei Ștefan-Daniel 
Published: July 2024

Abstract
The main goal of this study is to develop a gaming platform for people who have had a stroke and are going through various stages of neuromotor rehabilitation. The main idea is that regular recovery activities are boring and repetitive, which might make people less interested in being in therapy. By including enjoyable but practical games into workout routines, there is potential to enhance patients’ motivation. To ensure the accuracy and reliability of the system, a validation process was conducted with the help of two stroke patients now undergoing rehabilitation at the Clinical Rehabilitation Hospital in Iași. The parameters were adjusted based on individual patient characteristics, and a total of 12 tests were conducted, from which various results were obtained. At the end of the clinical trial, feedback was gathered from patients in order to get first-hand perspectives from the intended users of the system and identify areas for potential system enhancement. In the end, this research has demonstrated some of the benefits and potential uses of virtual reality (VR) technology in patient rehabilitation, and the participants in the clinical study have found it to be positive and useful.
Old Empires, Modern State: Legacies of Partitions on Voting Behaviour in the 2023 Polish Parliamentary Elections
Authors: Wenzel Michał , Żerkowska-Balas Marta , Matusiak Daniel 
Published: July 2024

Abstract
The legacies of former partitions are still visible in today’s Poland in the economy, society and politics. Our article integrates the historical and geographical perspective into the study of electoral behaviour in Poland. We conduct a geographical description of electoral results in the 2023 parliamentary elections and determine how economic and cultural attributes related to different paths of development associated with the former partitions are reflected in the apparent spatial differences. We distinguish between direct and indirect influence. It is indirect when differences in economic development (e.g. changes in agrarian structures) or cultural transformations (e.g. secularisation) resulting from former policies are reflected in different electoral choices. The influence is direct if belonging to a former empire determines electoral behaviour regardless of the economic and cultural determinants of the vote. We found that the influence concerns primarily the former Russian and Austrian regions. The analysis is conducted at the county (powiat) level.