bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of improved particle swarm algorithm in wireless sensor network localization
Authors: Yuan Daming 
Published: September 2023

Abstract
Among the various WSN technologies, node localization technology is one of the core parts of WSN applications and an important component and key technology, which is also a hot spot and focus of research at this stage. In this paper, firstly, we propose a classical ion swarm localization algorithm for wireless sensor network localization, randomly assigning appropriate velocity and position to each particle in the population in order to find the global optimum in the iterative process. Based on this, a network node localization model is established to convert the functional optimization problem with constraints into an unconstrained optimization problem to solve. At the same time, the space is searched using a chaotic search strategy, which greatly improves the search efficiency. Next, the particle swarm algorithm is further optimized, and simulation experiments are set up using MATLAB software to do comparison experiments on the PSOAPF algorithm and other algorithms. The experimental results show that when the density of beacon nodes is 40%, the average localization error of the PSOAPF algorithm is 14.26%, with the smoothest decreasing trend. When the percentage of anchor nodes is 10%, the localization error is reduced by 6.89%, and the localization accuracy of the PSOAPF algorithm is also higher than other models. This study shows that the improved particle swarm algorithm can effectively improve the localization accuracy, reduce error and accelerate the convergence speed in wireless sensing network localization.
Analysis of using big data to achieve precise employment of college students
Authors: Su Peng 
Published: September 2023

Abstract
In order to solve the social phenomenon of difficult employment of college students, this paper constructs a college employment recommendation platform based on an improved collaborative filtering algorithm. Firstly, the framework of the employment recommendation system is designed for the user use case, system architecture, system function module, database and user portrait of the platform, respectively. The functional modules are divided into six module parts: campus recruitment management, internship management, employment information management, employment affairs management, employment analysis management, and employment guidance management. Next, the platform is analyzed to combine the recommendation algorithm of collaborative filtering algorithm and clustering technology based on users and items to realize the recommendation of employment information for college students. Then the employment platform is used to get the high stickiness of users in the employment of college students, which can retain about 62% of the number of people, and even 5% of the number of people are particularly fond of the platform. With the increase in recommendation times, the recommendation accuracy increased from 22% to 83%, and the accuracy increased by about 61%, and the comparison with the traditional employment form is much higher than the traditional method in both accuracy and recall rate by about 30%. It is concluded that using the college employment recommendation platform can realize the precise employment of college students.
The Origin and Significance of Research on Music Education Reform and Talent Cultivation Based on Evaluation Index
Authors: Zhou Yumei , Huang Yingjie 
Published: September 2023

Abstract
In order to explore the origin and significance of music education reform and talent cultivation in the new era, this paper constructs a new music curriculum evaluation model based on SVM. Firstly, we explore the path of music education reform and the goal of music talent cultivation by taking the trend of Internet of everything as the origin of the proposed “high-quality courses” for music in universities. Then, we analyzed that the recognition accuracy of SVM is significantly better than most machine learning methods in solving high-dimensional small sample data, so we established a new music curriculum teaching evaluation model on this basis. The average score of each index of the new course teaching effect is 74, and the evaluation grade is better, obtained by establishing the evaluation system of the new music course of SVM. In the evaluation index, the CVI indexes were all kept in the range of 0.82 to 0.98, which was higher than the standard 0.78 of the CVI index, and the Kappa value of each evaluation index was higher than 0.86. The attendance rate in college teaching rose from 78% to 100%, the ability to master music knowledge rose from 67% to 93%, the ability to apply knowledge rose from 76% to 92%, and the average score on weekly tests rose from 86 to 96. Finally, it is concluded that the Internet-based music education reform approach can promote the development of music education careers and cultivate the important means of all-around talents.
Research on the method of ideological and political education in college physical education based on knowledge mapping
Authors: Yan Wen , Cao Xiaojing , Ye Peng 
Published: September 2023

Abstract
The development and use of Internet technology have led to a reform of college physical education, which presents new difficulties for the study of the strategies for ideological and political education in this setting. This study examines the descriptive perspective encoder, structural perspective encoder, and knowledge graph comparison learning algorithm of the KGCL model, as well as the relevance analysis of correlation coefficients based on the Bayesian algorithm and KGCL model. Second, it concentrates on classifying the teaching methods for college physical education in the context of the Internet and on the online practical teaching interaction approach for this discipline. It is investigated how ideological and political education might be included in the online instruction of college athletics. Lastly, students’ cognitive analysis and students’ evaluative analysis of the application of ideological and political knowledge in college physical education are undertaken using Internet technology to integrate ideological and political education in college physical education. According to the study, 24.9% of respondents believe that the ideological and political information given in physical education fully satisfies student needs, 30.9% believe that it can only partially satisfy student requirements, and 8.8% believe that it cannot fully satisfies student needs. Internet technology can therefore further the study of political and ideological education strategies in college physical education.
Research on the construction and reform path of online and offline hybrid English teaching model based on time series
Authors: Fu Yuemei , Ying Shichao 
Published: September 2023

Abstract
With the widespread use of blended English teaching, the teaching model has become increasingly rigid and needs to be reformed. This paper proposes an analytical model of student learning behavior under blended English teaching based on big spatiotemporal data and constructs a structure of offline and online student learning behavior. The DWT-FCM clustering method for learning behaviors is constructed by using a similar distance based on time series instead of Euclidean distance in the traditional fuzzy C-mean algorithm. The maximum information coefficient was used to analyze the correlation between learning behaviors and grades based on MI. the DWT-FCM algorithm divided learning behaviors into five clusters, where the discussion number of cluster 0 reached an average of 45.2, which was 3.2 times higher than that of cluster 1. Cluster 4 has an average number of task completions of only 1.88, which will skip almost the entire course taken. The correlations of the number of task completion, course video progress, and assignment evaluation scores are all highly correlated, with correlation coefficients reaching 0.884 and 0.825, respectively. This study suggests the influence of learning characteristics on English performance in a blended teaching model, which can effectively guide the reform of the blended English teaching model.
Application of traditional symbols in interior decoration based on VR technology
Authors: Hong Ying , Hu Xiaoqiang , Peng Maolong 
Published: September 2023

Abstract
Traditional symbols, as visual symbols, are not only extremely widely used in traditional fields but are also constantly used in interior design. This paper first investigates the use of traditional symbols in interior decoration and the trend of integration of traditional symbols with modern design. Then, an index system is constructed to evaluate the level of development of interior design incorporating traditional symbols by establishing the original data matrix and determining the index weights. Finally, a fusion coordination model was established, and the data were analyzed for reliability, validity, and consistency tests to analyze the richness, taste, and emotional expression of interior design incorporating traditional symbols. The overall integration of traditional symbols with interior design increased from 0.4621 to 0.7346. The effect of traditional symbols in interior design based on VR technology on emotional performance in office scenes increased by 20% on average. The average of those who rated very conforming in different scenes was 20%, those who rated more conforming was 30%, and those who rated average performance was 10-20%. The research in this paper has important references and reference values for the use of traditional symbols in interior design.
Research on the structure of corporate financial management objective system based on BRP method
Authors: Han Baozhen 
Published: September 2023

Abstract
Exploring the architecture of corporate financial management objectives of the BRP method is to help companies achieve revenue growth. In this paper, we analyze the motivation for implementing business process reengineering and constructing an intelligent financial management system based on the BRP method and intelligent technology. The DSBPR data analysis and processing model is constructed by using Bayesian ranking model combined with similarity in heterogeneous information networks in the intelligent financial management system. The intelligent financial management system constructed in this paper is analyzed in terms of the operating capacity and profitability of the enterprise. From the viewpoint of operating capability, the turnover rate of receivables, total assets, and current assets decreased by 87.17%, 91.85% and 49.68%, respectively in ten years, and the change rate of inventory turnover was 7.91%. In terms of profitability, there is a difference of 166.12% between the maximum and minimum values of return on net assets. This shows that the use of an intelligent financial management system can provide intuitive data analysis for enterprise development, which helps enterprises to target the coordinated development of enterprise strategies and thus promote the improvement of economic returns.
Innovative Research on Deep Learning Algorithm in Intelligent Attractions Recommendation Technology
Authors: Wang Yu 
Published: September 2023

Abstract
In order to discover users’ interest preferences from the massive travel information and meet users’ needs for personalized tourist attraction recommendations. In this paper, we construct correspondingly according to the domain knowledge and complete the design and implementation of the mapping according to the corresponding process. The item representation enhancement module is designed to obtain a more comprehensive user preference by extracting information from the user’s historical preferences and then using graph convolution to learn the correlation between the user’s historical behavioral preferences and entities to enhance the KG semantic information of items. An item representation enhancement model based on RippleNet is proposed, from the item representation enhancement module to the interest module, to establish a connection between the user and the implicit information of the item so as to consider their mutual influence and represent the missing information more comprehensively, and finally, a personalized travel recommendation model based on knowledge graph and deep learning is constructed. From the results of the study, it is obtained that the model in this paper is 4.14% and 4.6% better than the best model SASRec in the comparison method in NDCG@10, Recall@10, MRR@10 indicators on both 1.93% higher. At the recommended list length K=20, the Recall rate Recall@20 has reached 80.78%. The superiority of the performance of the model constructed in this paper is demonstrated in the experiments, which brings technical innovation to the personalized attraction recommendation system.
An empirical analysis of the impact of Cross-border E-commerce on the competitiveness of SMEs based on the context of big data
Authors: Xie Tian 
Published: September 2023

Abstract
Cross-border E-commerce has advanced greatly with the help of big data technology, cross-border payment and logistics maturity and improvement, and backing from the national “One Belt, One Road” policy. Firstly, based on the study of enterprise core competitiveness evaluation index system, one is proposed for the core competitiveness of Cross-border E-commerce enterprises, and an evaluation model based on SA-LSTM for the core competitiveness of Cross-border E-commerce enterprises is constructed. Then, with the research objective of refining the core competitiveness of Cross-border E-commerce enterprises, the model was applied to empirically analyze the core attractiveness of major domestically listed Cross-border E-commerce enterprises. The results show that laws and regulations have no significant influence on enterprise competitiveness, the regression coefficient is not significant, and the t-value = 1.793 < 2. Hypothesis A is not verified. And the p-values of the technical environment, development potential, market demand, capital management, process cost, information sharing and service level are all less than 0.05, and the regression coefficients are all significant with t-values greater than 2, indicating that indicators B to H has a significant positive influence on enterprise competitiveness. This study reduces the barriers for SMEs to apply Cross-border E-commerce to participate in foreign trade, reduces the cost of enterprises, and improves their own competitiveness.
Construction of preschool education resource sharing platform based on matrix model
Authors: Wu Xunhua 
Published: September 2023

Abstract
This paper achieves high-quality sharing of preschool educational resources among learners based on a matrix model. Through the shared resource matrix analysis method, the symmetry of the matrix about this educational resource is judged so that the resource can transmit information implicitly among all subjects. The difference between noise and preschool education resource data points is enhanced using the K-nearest neighbor search algorithm. Combined with the ant colony particle swarm optimization algorithm, the sharing sequence and time of the optimal preschool education resources are calculated, and a preschool education resource-sharing platform is constructed. To verify the applicability of the constructed platform, the simulation analysis results show that the resource search accuracy of the platform constructed in this paper reaches 94.51% on average, and the compatibility performance index is as high as 7.287vw, which is 3.25vw and 3.421vw higher compared to other platforms, respectively. The results show that the matrix model can eliminate resource heterogeneity and provide convenient and efficient interactive technical support for constructing a preschool education resource-sharing platform.
Research on the prediction method of string-supported dome cable force based on digital twin technology
Authors: Meng Fanmin , Yu Shaozhi , Xue Jianying 
Published: September 2023

Abstract
To improve the accuracy of rope force prediction and the safety of the construction process. In this paper, based on digital twin technology in the design process, digital twins of physical entities in virtual space are constructed using digital to achieve digital control and optimization of physical entities. The structural response information collected by sensors is brought into the dynamic load identification method by calculating the solution method of the dynamic load of the digital twin technology. The damping effect is considered in the load vector. The displacement is eliminated by constructing an average loss function to disperse the motion time to solve for the dynamic load imposed on the structure and obtain the load-bearing state of the structure for dome cable force prediction. To verify the feasibility of the model, the results of the cable force prediction analysis show that the overall displacement of the mesh shell displacement nodes at the bishop number 200-400 has a more uniform step distribution, and the cable force of the internal and external radial cables has a small change in the predicted structural cable force at the position of 40° angle with the long axis. Thus, it can be seen that the cable force prediction of a circular chord-supported dome with digital twin technology can break the tradition and further improve structural safety and implementability.
Exploring the innovation of visual communication design style based on artificial intelligence technology
Authors: Yan Haian , Wen Weimin , Wang Long 
Published: September 2023

Abstract
By exploring the application of artificial intelligence technology in visual communication design, the design efficiency and innovation of visual communication can be effectively improved. In order to automatically arrange graphic language in visual communication design, a novel algorithm is proposed in this research, together with a functional model of artificial intelligence technology design. The minimum and maximum values of the number of orchestrated pages are used as the objective orchestration function for calculating the display size of buffer images in visual communication design. In visual communication design, an ant colony method is used to determine where graphics should be displayed best, and ASM semantics is used to describe the graphics language. The proposed algorithm is programmed and runs to achieve the innovation and development of visual communication design style by using the parallel selection mark to describe the graphic language and realize the automatic arrangement. The experimental results show that the visual saturation obtained based on artificial intelligence technology can reach up to 97%, the mean value of user satisfaction is 7.789, and the TGB consideration characteristics are evenly distributed. It can be seen that an innovative visual thinking mode can convey novel design concepts in visual communication design and optimize the visual communication design effect.
Research on the evaluation system and teaching optimization effect of animation aesthetics education based on principal component analysis method
Authors: Liu Zhiqiang 
Published: September 2023

Abstract
To improve the animation design ability of animation aesthetics students and the teaching ability of teachers, this paper constructs an evaluation system of animation aesthetics education based on Internet+. Firstly, the feasibility of Internet+ education is analyzed, and the Kohonen grid is introduced to fuzzy classify the images and get the corresponding affiliation vector. Then the mean value method is used to fuse the two-dimensional images, and the evaluation index of animation aesthetics education is derived according to the gray value. Secondly, considering the limited capacity of the animation aesthetics education evaluation system, the principal component analysis method is used to calculate the feature values, weight percentages, etc., to filter out the range of index values and construct the evaluation system according to the main indexes. Finally, according to the scores of students’ animation works and teachers’ satisfaction before and after the platform was implemented, it was confirmed that the built platform could optimize the teaching effect. The results showed that after the teachers adjusted their teaching according to the evaluation system, the students’ work scored 90 and above, and the student’s satisfaction with the teachers increased from the highest 6.5 to 9.8, which optimized the teaching effect.
Impact of combining photodynamic diagnosis with reflectance confocal microscopy, on tumor margin detection and surgical outcomes in patients with extramammary Paget disease
Authors: Cheng Xiaolei , Zhang Qian , Zhang Wei , Huang Liming , Sun Jia , Zhao Liang , Zhao Yan , Tian Cuicui , Cheng Wei , Shao Xuebao , Wang Yan , Gong Xiangdong 
Published: September 2023

Background
The recurrence rate of extramammary Paget disease after surgical resection is high due to the lesions' poorly delineated and unclear margins.

Aim
To evaluate the impact of non-invasive tumour margin detection via photodynamic diagnosis plus reflectance confocal microscopy on the surgical outcomes of patients with extramammary Paget disease.

Methods
Thirty-six patients with histopathologically confirmed primary extramammary Paget disease between January 2017 and June 2018 were included in this study. The skin lesion margins were preoperatively observed using the naked eye, photodynamic diagnosis, and reflectance confocal microscopy. An incision was made 0.5–2 cm from the outermost non-invasive detection marker line. The incision depth was more significant than the follicle level or the deepest level affected by the tumour in the biopsy specimens. After the skin lesions were removed, a pathological examination of the specimens was conducted to ensure clear margins to prevent tumour recurrence and metastases.

Results
A total of 166 good-quality tissue sections were selected from 36 patients. The tumour surfaces and deep margins were within the scope of resection. Six patients (6/36, 15.4%) experienced local recurrence 2–12 months postoperatively. One patient (1/36, 2.8%) had lymph node metastasis without local recurrence 36 months postoperatively and died 50 months postoperatively (1/36, 2.8%).

Limitations
This study is limited by the small patient population, especially the number of patients with mucous membrane involvement.

Conclusion
Using photodynamic diagnosis plus reflectance confocal microscopy to detect the margins of extramammary Paget disease lesions non-invasively reduces the postoperative tumour recurrence rate and is a valuable guide for tumour treatment.