bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the construction of personalized learning system supported by big data in education
Authors: Zhao Xuekong , Lao Li 
Published: September 2023

Abstract
In order to optimize the drawbacks of current personalized learning systems on the market, a big data algorithm is used to optimize the personalized learning system. This paper first analyzes the system model, constructs the basic framework of the system, and optimizes the algorithm based on a collaborative filtering algorithm that converts user behavior into ratings and recommends personalized learning content for learners. Since learning resources and learners are interconnected, this connection is analyzed by an ant colony algorithm to provide the optimal path for students to learn and create a personalized learning path. After comparing the student models, we understand that the clearer the description of students’ interests, the clearer the accuracy returned, where User A and User C have the highest similarity of 99% and accuracy of 85% and 88% respectively, proving the feasibility of the system. The personalized learning system supported by big data in education can optimize the drawbacks of the current personalized learning system in the market, meet the concept of teaching according to student’s abilities, and outperform the learning system in the market.
Research on the innovation of the path of ideological and political education in universities based on data mining
Authors: Rao Suyu 
Published: September 2023

Abstract
This paper first describes the parallel association rule mining method for the big data implementation process. To perform similar item merging, each data item in the dataset is scanned, the dataset is divided, and then the similarity degree is calculated. And the dynamic support threshold is obtained based on the idea of genetic iteration of the genetic algorithm to obtain the optimal solution. In order to conduct data mining, the mining process is then transferred to the MapReduce computing platform while the data output from the Map step is parallel LZO compressed. Finally, in the age of big data, the ideological and political work in colleges is mined and analyzed using a data mining algorithm, and route innovation remedies are proposed. According to the current state of ideological and political education, 77.6% of respondents believe that the ideological and political management system is not ideal, and 61.48 percent believe that the ideological and political content is fragmented and that data-based information makes it challenging to supervise. The immaturity of new media development and the growth of technological challenges amounted to 46%. After creative approaches, ideological and political education teaching satisfaction has grown by 15-20 percentage points. Ideological and political education at universities under the impact of big data should grab the possibilities and overcome the difficulties to achieve sustainability and innovative development.
Research on high quality development system of vocational education based on improved particle swarm optimization algorithm
Authors: Zhang Qiang , Lyu Lixin 
Published: September 2023

AbstractThis paper first investigates the implementation process of the particle swarm algorithm by introducing the weight factorωto make the algorithm population iterative, using the particles to perform a local search and make them stay near the optimal solution of the algorithm to find the best. Then, we discuss the improvement of the particle swarm optimization algorithm by adding inertia weightωand shrinkage factor to improve the performance of the algorithm and analyze the convergence of the optimization algorithm to determine the convergence conditions and the state of the system. Finally, the improved particle swarm algorithm was used to evaluate the development status of vocational education, analyze its problems, and propose countermeasures for high-quality development. In terms of problems, 68% believe that there is a misalignment in management. 69% believe that the internal management system of the school is not perfect. 66% believe that the school does not have enough funds for the cultivation of talents. As for the learning atmosphere, 294 people think the learning atmosphere is weak, and 487 people think the learning atmosphere is average. The study of this paper is important for the development and optimization of vocational education.
The Planning & Designing of Urban Building Water Supply and Drainage Engineering in AI Era
Authors: Jiang Yunfeng 
Published: September 2023

Abstract
To explore how to improve the quality of urban building water supply and drainage engineering and further promote the economic construction of urban buildings, this paper combines artificial intelligence with water supply and drainage engineering of urban buildings. A detailed analysis of water supply and drainage engineering is unfolded, and the combination of BP neural network algorithm and particle swarm algorithm is used to improve the convergence accuracy of the algorithm and network generalization ability to optimize the BP neural network algorithm and construct the artificial intelligence algorithm model. Through experiments in the artificial intelligence algorithm model, the actual output quality parameter is 82, and the difference with the desired output quality parameter of 81 is 1, while in the ordinary design, the actual output quality parameter is 70, and the difference with the desired output quality parameter is 11, get in the artificial intelligence model the desired output and the expected output close. It shows that combining artificial intelligence with urban building water supply and drainage engineering can improve the quality of the project, which is more accurate and superior to the ordinary design and reduce the project cost.
Analysis of the technical and tactical evolution characteristics of college men’s soccer based on simulated annealing algorithm
Authors: Wang Zhe 
Published: September 2023

Abstract
This paper aims to investigate the technical and tactical evolution characteristics of college men’s soccer, and improve and optimize the simulated annealing algorithm by analyzing its operation process, so as to improve its operational efficiency and accuracy of results. The optimized model is used to analyze the data of the last 5 matches of men’s college soccer teams and study the offensive, defensive, and shooting characteristics of men’s college soccer teams. The results show that in terms of offensive techniques, the number of passes made by men’s college soccer teams is not small, among which 2589 passes were made in the 13th match, 1108 passes in the 14th match, and 938 passes in the 15th match, but the success rate is very low, and all of them are ineffective passes, which are not purposeful and offensive enough. The study in this paper summarizes the evolution characteristics of the technical tactics of college men’s soccer and improves the guidance for the improvement and development of college men’s soccer technical tactics.
Research on fabric yarn detection based on improved fast R-CNN algorithm
Authors: Zhang Yang 
Published: September 2023

Abstract
For the current commercially available fabric yarn detection, which is based on traditional machine vision methods and relies heavily on manually designed features, an improved Faster R-CNN algorithm is proposed in this paper. In this paper, based on the Faster R-CNN algorithm, the deformable convolutional Resnet-50 network is fused to improve the learning ability of woven yarn features. By designing a multi-scale model for the detection of fine features in fabric yarns, a cascade network is introduced to improve the detection accuracy and localization accuracy of woven yarns, and an optimized loss function is constructed to reduce the effect of sample imbalance. Through the experiments of the improved fast R-CNN algorithm for fabric yarn detection, we can find that the confidence level of SSD algorithm detection is 58%, and the confidence level of the original Faster R-CNN algorithm detection is 78%, while the improved Faster R-CNN can not only accurately frame the finesse problem, but also the confidence level is as high as 97%. So this paper, based on the improved Faster R-CNN algorithm, can pinpoint the problem of fabric yarn detection, improve the learning ability of detection, and can meet the current demand for fabric yarn detection in the market.
A Green Supply Chain Management Strategy for E-Commerce Based on Multiple Blockchain Technology
Authors: Qu Min , Xu Tianpei , Ju Changzhi 
Published: September 2023

Abstract
In this paper, firstly, the e-commerce green supply chain management strategy of multivariate blockchain is explored, and digital assets are traded on the e-commerce supply chain platform through the information anchoring model. Secondly, the Diffie-Hellman algorithm is used to generate the key, the AES algorithm is used to encrypt the information, and the account data, transaction data and IoT data, are stored in three independent chains. Finally, the selection strategies of different e-commerce sales models and the green supply chain management strategies of e-commerce platforms are visually analyzed through numerical arithmetic examples. The results show that when E
0 = 10, it is optimized by the ecological R&D efforts of supply chain members. When E
0 = 50, the greenness of the product is decreasing. When it finally tends to the steady state, E
∞
C > E
∞
BR > E
∞
MR. The three green supply chain management models proposed in this study are conducive to enhancing consumer utility and in line with the sustainable development strategy.
The innovation path of agricultural products e-commerce marketing mode under the background of “live broadcast + short video”
Authors: Zhou Yan , Lu Liu , Liu Lijun , ZiJian Ji 
Published: September 2023

Abstract
In order to evaluate the dependability and validity of the scale, this paper first examines the features of farming direct seeding. It then builds a scale that includes charm, expertise, interactivity, spatial presence, perceived value, platform notoriety, and buy intention. The project’s internal coherence and logic are confirmed by extracting the common factors using the principal component analysis method, followed by factor rotation using the maximum variance method. In order to confirm the relationship between anchor characteristics, spatial presence, perceived value, platform reputation, and purchase intention, we conduct an empirical study on the impact of live-streaming media characteristics on consumers’ purchase intentions. We also conduct correlation analysis, regression analysis, adjustment effect test, and hypothesis test. Interactivity has a considerable positive impact on perceived value, as evidenced by the magnitude of the standardized regression coefficient of 0.138 and Sig=0.019005. Professionalism has a strong positive impact on perceived value, as shown by the standardized regression coefficient of professionalism on perceived value, which is 0.292, Sig=0.0000.05. Living agricultural products must combine their own qualities and concentrate on the marketing and selling their wares.
Exploration of the innovative development path of university civic education based on data mining algorithm
Authors: Luo Weigang 
Published: September 2023

Abstract
Addressing the issues of a single form, insufficient targeting, a lack of synergy, and the inability to create a customized collaborative education process in the current college Civic Education curriculum setting, This paper develops a recommendation system for a college Civic Education curriculum based on enhanced collaborative filtering technology. It adopts an enhanced algorithm of cooperative filtering based on the combination, and by having to introduce a gradual forgetting curve relying on the time-sensitive change of user interest, it more effectively resolves. The standard algorithm is outdated, inefficient, and not very adaptable. A similar classification method for college Civics courses is then constructed after data mining is performed to filter out the data noise present in the data set. Via empirical validation, it is discovered that the optimization method obtains an average accuracy of 78.83% when the amount of cycles is 40. When the number of cycles is 40, the recall rate of the optimized algorithm is the highest, and the recall rate is 78%. In terms of recommendation popularity comparison, the optimization algorithm popularity starts to be higher than the traditional algorithm when the number of cycles exceeds 80. Therefore, the system has excellent practicality and resilience, and it operates steadily, which is of positive significance for creating an atmosphere of collaborative and win-win university thinking and political education for teachers and students with various forms and individual innovation.
Analysis of the application of Internet multimedia technology in the mixed teaching of public physical education
Authors: Qi Xiangjun 
Published: September 2023

Abstract
In order to explore how to change the singularity of the existing public physical education teaching mode, this paper introduces Internet multimedia technology to analyze physical education. Firstly, the characteristics of Internet multimedia technology were analyzed to construct a fuzzy evaluation model based on Internet multimedia technology divided into index weights, primary fuzzy evaluation, and secondary fuzzy evaluation. Secondly, some teaching indicators were statistically categorized through the method of a statistical survey, and the results of the survey were calculated to eliminate indicators lower than 85%, and the evaluation system of public physical education mixed teaching indicators was constructed. Finally, it was concluded through the experiment that 52.11% of the experts think the application level of Internet multimedia technology in public physical education hybrid teaching is now advanced and in an acceptable state. There are 36.27% of experts think that the application level is now intermediate and needs to be reduced to an acceptable level according to the program regulations. 11.82% of the experts believe that the application level is now low, unacceptable, and needs to be rectified immediately. Thus, it is concluded that public physical education based on Internet technology can enrich the existing physical education model and increase the diversity of physical education models.
Exploring the relationship between digital transformation of enterprises and “information infrastructure” in the new infrastructure perspective - based on industrial connection
Authors: Wang Wei 
Published: September 2023

Abstract
This paper aims to investigate the relationship between enterprise digital transformation and “information infrastructure” by analyzing the mechanism of enterprise digital transformation under the new infrastructure, constructing an input-output analysis model and a double difference model, and conducting a parallel trend test on the two models, bringing in the data between enterprise digital transformation and “information infrastructure” on the model, and studying the relationship between the two and the degree of influence. The relationship between the two and the degree of influence is investigated by bringing in the data of “information infrastructure”. The resulting data show that artificial intelligence accounts for 25.4% of digital transformation, followed by IoT at 19.7% and 3D printing at 1.4% of digital transformation. The change in the number of state-owned enterprises and non-state-owned enterprises before and after digital transformation is the largest in the range of 0-50%, with 44.4% change in the number of state-owned enterprises and 31.25% change in the number of non-state-owned enterprises. The research in this paper provides favorable data and analysis to prove that “information infrastructure” drives the digital transformation of enterprises.
Exploring the reform of college mental health education based on multi-source data
Authors: Chen Lingjing 
Published: September 2023

Abstract
With the primary study emphasis on feature extraction, this article first suggests an algorithm for identifying students’ mental health issues based on multi-source data and employs one-dimensional convolutional neural networks to extract the online trajectory patterns of pupils from online behavior segments. Anomaly ratings were computed based on student consumption statistics from the cafeteria in order to depict the dietary variations among students. Next, a DeepPsy-based algorithm for identifying pupils with mental health issues was recommended after the algorithm suggested in the preceding phase was improved. A two-dimensional convolutional neural network was used to build the Internet trajectory matrix and retrieve the daily Internet trajectory pattern. A long and short-term memory network was used to record the time-dependent connection between each day, and a deep learning network was created by fusing the fundamental features and the Internet trajectory pattern. Through experimental research, the DeepPsy model was able to detect 75.5% of pupils with mental health issues and obtained a Recall of 0.755, outperforming the multi-source-based algorithm by 19.5%. Obsessive-compulsive symptoms took the top spot among the many variables influencing mental health, coming in at 22.8%, followed by interpersonal sensitivity at 17.25%. Depression came in third with a proportion of 10.76%. As a result, instructors can use the algorithm suggested in this article to spot pupils who may be suffering from undiagnosed mental health issues.
Analysis of high quality collaborative development path of university civic education based on Rete’s pattern matching algorithm
Authors: Lv Tiantian 
Published: September 2023

Abstract
The prerequisites for the separation of fuzzy sets for the assessment of ideological and political education in colleges are first looked at in this essay. Then the implementation of the quality evaluation algorithm is discussed, the factors associated with the system and the corresponding data are selected, then the theoretical domain of the data is defined, the set contained in the theoretical domain is calculated, and the final value of the non-fuzzy values is calculated by the nonfuzzification method. To get the evaluation findings, the evaluation method is then used to build a thorough evaluation factor set and evaluation set, choose the weight coefficients, and create the fuzzy connection matrix. The assessment method is then used to examine the existing state of political and ideological education, identify its challenges, and provide solutions for high-quality growth. In terms of regional development, the eastern area is ranked 0-6, the middle region −2 to 3, and the western region −2 to 2 in terms of ideological and political development. 80% of instructors agree that learning should incorporate the primary job of building moral education when it comes to growth approaches. 39% think that the curricular strategy needs to be improved. 54% of respondents think that teaching practices should be standardized in schools. 44% think that teaching strategies need to be improved. Based on the Rete pattern matching algorithm and fuzzy evaluation algorithm, it is important for the development and construction of college ideology and politics.
Analysis of the effect of user-understanding-based retrieval system improvement on the application of intelligent archive management
Authors: Wang Shouzhong 
Published: September 2023

Abstract
As a precipitation and accumulation of history, archives management has gradually tended to be digitalized and informalized with the continuous updating and development of modern technology. In this paper, we first study the retrieval system and focus on the Boolean model, vector model, and probabilistic model in information retrieval technology. The matching relationship between documents and queries is detected from the document set for the user’s query, and a relevance retrieval system based on user understanding is proposed to solve the matching problem. The amount of information that needs to be retrieved is growing exponentially, and how a user perceives the information is crucial to the process. Then, in order to solve the problem of insufficient retrieval efficiency caused by the explosive growth of wisdom files, the retrieval system is creatively optimized on the basis of the ant colony algorithm, which effectively improves the efficiency of wisdom file management. The efficiency of the optimized retrieval system is verified and analyzed in an experimental simulation environment. The findings demonstrate that when the amount of archives rises, the retrieval effectiveness of the improved ant colony algorithm described in this study marginally improves, but in 10~35s. As the inventory of the Smart Archives increases, the content retrieval of the archives will become more and more frequent. This study improves retrieval efficiency and serves as a good demonstration for the construction of archival management information technology.
A study on the influence of soccer culture on physical education in China's universities based on linear regression analysis
Authors: Yang Hui 
Published: September 2023

Abstract
With the continuous deep integration of the Internet and education, soccer culture has been popularized in the field of physical education, and its influence on physical education in Chinese colleges and universities has been deepened. This paper firstly constructs the evaluation index system of soccer culture on the teaching ability of physical education in Chinese colleges and universities based on the linear regression model and logistic regression model in the context of the Internet, determines the final evaluation index system, calculates the weight coefficients of the indexes, and derives the relative importance of each index through comparison. Secondly, the relative scores of indicators are determined according to the weights of the evaluation index system of teaching ability of physical education, and the influence of football culture on physical education in Chinese colleges and universities is analyzed. The numerical values show that the mean scores of experts’ scores of teaching ability as well as the coefficient of variation, have changed, which obviously can show that the modified indicators of teaching innovation ability have a higher degree of expert recognition. The means of the four indicators were 4.86, 4.7, 4.7, and 4.65, with standard deviations of 0.34713, 0.5, 0.5, and 0.56721, and coefficients of variation of 7.34%, 6.25%, 6.25%, and 12.45%. Thus, it is feasible to analyze the influence of soccer culture on physical education in Chinese colleges and universities using linear regression models and logistic regression models based on Internet technology.