bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Plea Leniency System and Plea Bargaining System in the Era of Big Data
Authors: Zhu Lehua 
Published: September 2023

Abstract
In the era of big data, comparing plea leniency and plea bargaining systems can bring important insights to legal practitioners. In this paper, by studying the principle of the fuzzy K-mean clustering method, optimization using rough set theory is proposed for the problem of unclear boundaries in the fuzzy clustering process. Then, based on comparing the origins and development of the plea-leniency system and the plea-bargain system, big data analysis of the plea-leniency system cases in China and the plea-bargain cases in the United States is conducted using the fuzzy clustering method based on rough sets. The application rate of China’s plea leniency system is, on average, 49.67% lower than that of the U.S. plea bargaining system. In terms of the sentencing range, the plea leniency system is 32.73% lower than the plea bargaining system. Compared to the two, the plea leniency system is more stringent in terms of discretionary limits and standards of proof. Based on the big data analysis, the plea leniency system should expand the application area and strict leniency standards and improve the relevant subject system and evidence disclosure system.
Sentiment analysis of domestic movie reviews based on a discrete regression model
Authors: Liu Jingting 
Published: September 2023

Abstract
In the context of the rapid development of big data information digitization, how to use big data technology to analyze the sentiment of domestic movie reviews is a hot topic of current concern. In this paper, we use two similarly themed Chinese movie reviews as the basis and use discrete regression models to study the emotional tendency of movie reviews. Firstly, the ROC curves of the regression model are plotted based on the convolutional neural network to construct the text classification task metrics and the logistic discrete regression algorithm. The prediction probability at the bottom of the curve is 56.3%, and the 95% confidence interval is [56%, 56.6%], indicating the model’s high accuracy. Then, the factors affecting effective tendency were analyzed by the logistic discrete regression model, and both user level (UL) and per capita disposable income (PCDI) had significant effects on affective tendency (ET) (both p-values were less than 0.001), and the coefficients of both influencing factors were less than 0. This indicates that user level (UL) and per capita disposable income (PCDI) have significant negative effects on affective tendency (ET) have a significant negative effect on affective tendency (ET), i.e., the higher the user level, the more likely it is to have a bad review, i.e., the higher the per capita disposable income, the more likely it is to have a bad review. This study provides a comprehensive and objective evaluation of domestic movie reviews and provides a guiding reference basis for the development direction and progress of Chinese movies.
Research on the integration development path of rural tourism and traditional culture protection and inheritance based on the integration of big data
Authors: Hu Bin , Mu Chunlin , Tao Ting 
Published: September 2023

Abstract
This paper studies the integration and development of rural tourism and cultural preservation and inheritance, aiming to explore new development paths for rural tourism. This paper first introduces the basic algorithm and steps of plain Bayesian, and the fusion improves the principal kernel components of the Bayesian model. Using the improved plain Bayesian model to analyze rural tourism and traditional culture protection and inheritance, the problems in the integration process are analyzed from the rural cultural tourism situation, the integration of rural tourism and cultural protection and inheritance, as well as the proposed integration development countermeasures and the construction of the integration development path. In the study of the integration situation, the single indicator of infrastructure construction under the development level system reaches 0.9578, ranking first in the ratio of all three indicators, indicating that infrastructure construction is the most important factor affecting tourism development. Policy support and the construction of the six elements of tourism ranked second at 0.453, indicating its importance. Regarding countermeasures, 90% believe that cultural heritage buildings should be protected, 95% believe that cultural connotations should be deeply explored, and 85% believe that the integration of culture and tourism should be strengthened. Integrating rural tourism and traditional culture preservation is a long-term process that requires continuous exploration and improvement.
Research on the integration and development of student management and ideological and political education in universities based on environmental psychology
Authors: Hao Shuxin 
Published: September 2023

Abstract
To cultivate college students to become new intellectuals with virtue and talent who master modern scientific and cultural knowledge and are physically healthy. This paper constructs a model of college student management and ideological and political education based on environmental psychology. The CIPP evaluation mechanism is used to analyze the appropriateness of the effectiveness of ideological and political education in colleges and universities, calculate the weight values among the indicators according to the priority relationship among environmental psychology indicators, input the evaluation data into the database information management layer for compression processing through multi-level analysis, and pass into the indicator adjustment layer as well as the data mining layer for a comprehensive evaluation of the effectiveness of ideological and political teaching, which proves that it can promote student management and ideological and political education It is proved that it can promote the integration of student management and ideological and political education. In this paper, three classes of universities were selected for the experiment, and it was proved that the average score of the ideology factor increased from 64.42 to 82.96 under the environmental psychology teaching model, and the classroom head-raising rate of students increased by more than 10%. It shows that the application of the environmental psychology teaching model to students’ Civic Education in colleges and universities can significantly improve students’ ideological and political level, can keep up with the changes in the social environment for effective management of students, and promotes the integration development of student management and Civic Education.
Research and practice on the application of computer virtual technology in arts and crafts nowadays
Authors: Huang Kun , Jiang Jianlong 
Published: September 2023

Abstract
With the gradual maturation of virtual computer technology, it is increasingly used in real life to represent its effects realistically. The connection between arts and crafts and digital technology is getting closer. To bring new opportunities to the development of arts and crafts, virtual reality technology and augmented reality technology is integrated to establish a 3D arts and crafts virtual design model with visualized interactive arts and crafts design as the core. In the visualized virtual scene with the support of a craft knowledge base, the coordinates of virtual design tools, original objects inside the tools, and other points are derived according to the pick-up points. By repeating “delete current scene - generate new scene”, the design of arts and crafts is realized. After the verification of properties, performance, and satisfaction, the process error of the virtual design model is only 1.57mm, the average design cycle is 5.91 hours, and the labor cost, pre-preparation cost, and design cost are 214.66 RMB, 100 RMB, and 20 RMB respectively, which are significantly lower than the traditional design mode. Furthermore, the average scoring value of designers for different forms of arts and crafts is greater than 8 points, which is more satisfying with the application effect of the model. The model is connected to design practice with the help of virtual technology, which not only improves work efficiency and saves material and labor consumption but also facilitates the optimization of design solutions and the extension of solution serialization.
Exploring the integration development path of rural tourism and rural revitalization under the perspective of self-media development and communication
Authors: Liao Yanping 
Published: September 2023

Abstract
With the rapid development of Internet information technology, artificial intelligence, and other emerging industries, the boundaries between industries have become increasingly blurred, showing a new trend of cross-fertilization development. Achieving industrial integration development has become an important symbol for each region to build a modern industrial system and achieve high-quality economic development. This paper constructs a fusion development path with the help of rural tourism and rural revitalization fusion bases, such as policy factors and the divided self-media model. Combined with the entropy value method to calculate the weight of each index in the integration development path evaluation system, the integration development path is evaluated. The analysis of the model’s obstacle degree and coordination degree shows that the path’s integration development behavior is an important influencing factor from 2017 to 2021, and the annual average value of the obstacle degree is as high as 55.73%.Furthermore, the average obstacle degree of revitalization industry chain extension in five years is 52.37%. The coordination degree of the integration development path has increased from mild disorder to primary coordination, with coordination degrees of 0.334, 0.435, and 0.612, respectively, with an average annual increase of nearly 15%. This fully indicates that the integrated development path of rural tourism and revitalization begins to gradually step into a mature stage under the influence of the communication vision of self-media development.
A Dynamic Export Product Sales Forecasting Model Based on Controllable Relevance Big Data for Cross-Border E-Commerce
Authors: Yang Yuzhen 
Published: September 2023

Abstract
To improve the prediction accuracy of export product sales, this paper constructs a dynamic export product sales prediction model based on controlled relevance big data for cross-border e-commerce to improve sales prediction’s scalability and dynamic evolution. Based on the traditional prediction model, a big data controllable clustering algorithm is used to divide the data into several macro-clusters by data dimensions to determine the number of class clusters and the location of centroids. The K-mean algorithm is used to estimate and categorize the indicators affecting the prediction online, to dig out the key factors affecting the prediction of export product sales, and to establish a dynamic prediction model. The analysis results show that the plausibility measure of the proposed model is 21.9, and the error coefficient is 5.1, which are the smaller values in the reference interval. The average prediction error ratio is 2.25%, the average confidence level is 93.05%, and the error efficiency between predicted sales and actual sales is only 0.98%. Thus, the prediction model proposed in this paper improves the prediction effect of export product sales and has high practical value.
English-Chinese translation strategies based on BERT and multi-similarity fusion of English and American literature
Authors: Ke Si Dai Ke Jiang·Ta Xi Bai 
Published: September 2023

Abstract
Under the background of big data development, more intelligent technologies make work and life convenient, and the traditional English-US literature translation methods and means are difficult to adapt to the fast-paced era of big data, so this paper conducts research and analysis on this problem. In terms of the English-Chinese translation strategy based on BERT and multi-similarity fusion of English and American literature, the article first introduces the concept and principle of BERT, and multi-similarity fusion algorithm then constructs the model of BERT and multi-similarity algorithm fusion, analyzes and discusses the English and American literature translation dataset respectively, and compares it with three different similarity algorithms in terms of three indicators. The data shows that BERT has the greatest effect on the accuracy rate, followed by BLEU value and Manhattan distance. Compared with the fusion of the three methods, the data analysis of a single method is better, and the three selected index values all remain above 90%, and this study is conducive to improving the accuracy and efficiency of English and American literature work, which is of great historical significance for international literary communication.
Design of an enterprise accounting system based on decision tree model
Authors: Ling Xuejun 
Published: September 2023

Abstract
The key to the enterprise is in management, and the focus of financial management is enterprise accounting, and the enterprise accounting management system is the core of financial management. Developing a set of accounting management systems has become an urgent problem to solve to improve the efficiency and accuracy of enterprise accounting. In this paper, we use the decision tree model to design the enterprise accounting system and establish an efficient accounting system, which is logically divided into 5 layers: database, data storage layer, business logic layer, business appearance layer and user interface layer. The effectiveness and applicability of the decision tree model for enterprise accounting systems are discussed. The results show that the decision tree model can improve the accounting error tolerance and efficiency and reduce accounting risk. The satisfaction rate of most evaluation indexes has increased to more than 50%, the satisfaction rate of accounting business operation compliance has increased from 6% to 55%, the reasonableness of the internal audit cycle has increased from 18% to 70%, and the timeliness of annual accounting statement disclosure has increased from 8% to more than 50%. The decision tree model is positive for using enterprise accounting and can meet the requirements of enterprise accounting system design.
Analysis of Ethnic Elements in Xinjiang Music Works Based on PPM Model under the Perspective of “One Belt, One Road
Authors: Yu Dawei , Liu Xu 
Published: September 2023

Abstract
Under the background of digitalization of big data and information, the national “One Belt and One Road” initiative has produced a new huge effect on the ancient Silk Road between Xinjiang and Eurasia, how to revitalize the traditional music culture of ethnic minorities and how to make the traditional music culture resources of ethnic minorities be effectively protected and developed in the process of protection and inheritance of intangible cultural heritage in the world? Based on the analysis of ethnic elements in Xinjiang music works based on the PPM model under the perspective of “One Belt, One Road”, this paper first introduces the concept of PPM, the Bayesian structure algorithm, constructs the PPM model, and analyzes the data using by the structural equation modeling method, and explores the evaluation of PPM model under different sample sizes and different indirect The performance of four methods, Bayesian structural equation modeling method, structural equation modeling method, classical regression method and Bayesian regression method, was evaluated for the analysis of ethnic elements in Xinjiang music works under different sample sizes and different indirect effect truth values. The results show that the standard errors under the four models become larger as the regression coefficient b between Y and X increases, but in the case of (a=0, b=0.59), the standard error of the structural equation modeling method for the analysis of ethnic elements in Xinjiang music works is 0.048, which is the smallest compared with the standard errors of other algorithms. The structural equation algorithm of the PPM model is very applicable when dealing with practical problems. It can not only be used in theoretical research but also has a great influence on realistic guidance, which has an important theoretical significance and practical value for the survival and development of the traditional music culture of ethnic minorities in China.
Design and implementation of a virtual teacher teaching system algorithm based on facial expression recognition in the era of big data
Authors: Lu Rui , Ji Feng 
Published: September 2023

Abstract
With the development of big data, virtual course teaching has developed rapidly. In virtual teaching, the lecturer’s position is pivotal, and the virtual teacher’s lecture mainly conveys information through intuitive facial expressions, so the effectiveness of facial synthesis is crucial. However, traditional facial expression synthesis methods suffer from local distortion and lack of subtle expressions due to driving complex topological models and delays due to large computational effort. To this end, this paper proposes a facial expression extraction method based on feature point texture mapping. First, a video face expression feature point tracking algorithm is designed. Firstly, we design a video face expression feature point tracking algorithm. We use a monocular camera to capture facial expression images, use a texture mapping algorithm to detect faces and extract face feature points, and add a time threshold processing mechanism to the relevant filtering algorithm to detect face frame tracking to realize face feature point tracking in video. Secondly, the parameters are controlled by face expression animation, including head pose and face expression parameters. The head pose is solved by the Laplace algorithm, and the head rotation matrix and translation vector are output to establish the coordinate system. Finally, the stability and real-time performance of the feature point texture mapping algorithm are verified by expression capture test and recognition effect. The results of this paper show that: in the expression capture test, the average data transmission time is about 1ms, and the total expression transmission time of each video image frame is 32ms, which is 1.23ms and 9.8ms shorter than the traditional algorithm, respectively; in the expression recognition effect test, the successful recognition rate is increased by 10.2% on average compared with the traditional algorithm; and in the application to the classroom teaching effect test, 86.6% of the students are satisfied with the virtual teacher. 86.6% of the students highly agreed with the virtual teacher teaching, and 83.3% of the students thought that the model had a positive effect on the learners’ learning, which proved the superiority, real-time, stability and practicality of the algorithm designed in this paper compared with the traditional algorithm. The research work in this paper also provides solutions to the problems of virtual course teaching.
Legal risk assessment of enterprise labor dispatch employment under clustering algorithm
Authors: Wang Weixia 
Published: September 2023

Abstract
In the background of the era of digitalization of data information, artificial intelligence algorithms are becoming increasingly intelligent, and the traditional enterprise legal risk assessment fits well with the requirements of the development of the era of big data. This paper focuses on the legal risk assessment of enterprise labor dispatch employment under the clustering algorithm, firstly, by reviewing the literature to understand the concept and principle of the clustering algorithm, constructing the legal risk assessment model of enterprise labor dispatch employment under the clustering algorithm, and applying The legal risk of enterprise labor contract management was assessed by expert scoring, and the risk assessment result was 62.2 points, which was a high score and its legal risk level was high and needed to be improved. The Gaussian mixture model uses probability distribution to determine the degree of similarity between samples, and the three indicators that contribute most to the effect of Gaussian mixture clustering are selected. The purpose is to identify more high-risk enterprises outside the framework of the “special treatment” system and to provide guidance on measures to prevent the legal risks of labor dispatch. Therefore, the legal risk assessment of labor dispatching in enterprises under the clustering algorithm has certain implications for business operators and academics who study the legal risk assessment of labor dispatching.
Application of random forest algorithm in the detection of foreign objects in wine
Authors: Wang Liangbo , Yang Yanzhe , Xu Liping , Ji Tao 
Published: September 2023

Abstract
In order to explore the applicability of random forest algorithm in the detection of alcoholic foreign matter and to improve the identification of alcoholic products. In this paper, based on the random forest algorithm, the feature values of random forest are fuzzified using the fuzzy comprehensive evaluation method, and the application model of alcohol foreign body detection anomaly based on random forest fuzzy tree nodes is established. And the reliability of the random forest algorithm is verified by the quantitative analysis of the three test indexes (i.e., recall, precision, and accuracy) and the anomaly proportion coefficient of the test data set by the algorithm in this paper. The results show that the recall, precision, and accuracy of the random forest-based anomaly detection for alcoholic beverage foreign objects are 99.65%, 95.49%, and 97.19%, respectively, and the average value of the three eigenvalues of this paper’s algorithm is 97.44%, which is 59.89%, 43.98%, and 1.92% higher than the other three algorithms, respectively. In terms of the anomaly proportion coefficient, the stability of the algorithm in this paper is the best when the coefficient takes values between [0.2, 0.6]. It can be shown that the algorithm based on random forest can be applied to the foreign matter detection of wine, and through the detection of anomalies, the quality of the wine currently undergoing detection can be clearly and explicitly analyzed, which also provides a new direction for the application of the random forest algorithm.
Application of ELM algorithm-based generative adversarial network model in network security
Authors: Wen Zhixian 
Published: September 2023

Abstract
To improve the efficiency and accuracy of network intrusion discrimination, this paper introduces intrusion detection techniques in a generative adversarial network model. Firstly, a basic framework of a generative adversarial network is constructed. Secondly, the generative adversarial network is trained, and the training process is analyzed to find the data discrimination point in the network. Finally, ELM (Extreme Learning) algorithm is introduced at this discriminating point. The output weight matrix is derived using the minimization square loss function and least squares regression to improve the intrusion discrimination accuracy and intrusion cracking rate in the generative adversarial network, improving network security. To verify the security of the ELM algorithm, this paper simulates the intrusion of the constructed network model, and the results show that the intrusion detection accuracy of the generative adversarial network model based on the ELM algorithm can reach 100%, which is higher than that of DCGAN network 19% and LSGAN network 23%, respectively. The intrusion cracking rate of its layer 5 neural network can reach 92% at the second 2.5 seconds of the simulated intrusion. From the above results, it is clear that the generative adversarial network model based on the ELM algorithm can accurately detect and efficiently crack the intrusion to improve the network security performance.