bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study on the Impact of Higher Education Expansion on Human Capital Accumulation and Economic Development - An Empirical Analysis Based on Structural Equation Model
Authors: Ren Xiufeng 
Published: October 2023

Abstract
Based on structural equation modeling, this paper investigates the impact of expanding higher education levels on human capital accumulation and economic development. The relationship between latent and latent variables is used to estimate the maximum likelihood estimates of scale expansion by calculating unstabilized and stabilized weights. A weighted linear combination of weights in the weights pool is used to construct the SL estimator. Based on the structural equation model, the prediction model of the impact of higher education scale expansion on human capital and economic development is constructed, and four impact hypotheses are proposed. The results show that the rate of return to higher education for expanding the higher education scale is 4.36%. The rate of human capital accumulation is 102.36%, while the level of economic development is 63.89%. It indicates that the positive effect of expanding higher education levels on human capital accumulation and economic development is significant.
Research on construction project cost budget and cost control based on matrix model
Authors: Yang Jingsi , Li Zhenhai , Yang Ge 
Published: October 2023

Abstract
In this paper, based on the matrix model to count the number of elements and judge the symmetry of matrix elements, the nearest neighbor space in high-dimensional space is converted into a symmetry matrix. The boundary extraction is discretized and iterated repeatedly until the fitness satisfies the final condition. The genetic algorithm finds the optimal solution, which is transformed into the fitness function, and the system reliability constraints are processed to solve the cost control problem. According to the results, the cost control cost of the construction project is reduced by 10% based on the matrix model. It shows that the proposed model can promptly solve the existing project cost over-budget situation, which makes the enterprise obtain more economic benefits and enhance the market’s competitiveness.
Research on multi-sensor-based online inspection technology for electric vehicle charging pile transfer type equipment
Authors: Chen Zhiru , Zhao Xi , Zhang Zhi , Jing Zhen 
Published: October 2023

Abstract
This paper performs data fusion based on a multi-sensor fusion algorithm, which measures the sensors and calculates the distance between the data to obtain the measurement weights when participating in the fusion. The sensor observation model is created using an extended Kalman filter, and the nonlinear state transition function is linearized using the covariance matrix. Accurately estimating sensor inter-cluster data is necessary to achieve the scalability of online detection technology for charging piles. The results show that the disconnection time of the contactor of the charging pile transfer type equipment is 1.153s after the simulated charging pile output over-voltage in the disconnection time detection. The online detection efficiency can be improved by using multiple sensors, the method analysis can be intuitive, and the charging service capability of the electric vehicle charging pile can be effectively improved.
Research on the Application of Red Music in the Construction of Curriculum Civics Based on the Knowledge Dissemination Model
Authors: He Tao , Dong Ting 
Published: October 2023

Abstract
Most ideological and political educators in colleges and universities are focused on improving students’ work in ideological and political education. This paper perfectly integrates ideological education with Internet technology, making it more scientific and modernized based on this realistic demand. Based on analyzing the process and influencing factors of red music dissemination, drawing on the idea of SIS epidemic dissemination, the influencing factors of knowledge dissemination are abstracted as parameter variables in the process of knowledge dissemination, and the K-SIS knowledge dissemination model based on metacellular automata is constructed. To explore the practical significance that reading music, a media form with special meaning and characteristics possesses for expanding students’ ideological and political education work ideas. Simulations were conducted with trust levels of 20%, 40%, 60%, 80%, and 100%, and it was found that higher trust led to knowledge equilibrium at higher knowledge possession levels for the ideology and politics course team.
Path identification and effect assessment of digital economy-driven manufacturing quality development in the context of big data analysis
Authors: Liu Yu , Zhang Zhengchao , Ding Yunfei , Jiang Shicao 
Published: October 2023

Abstract
This paper uses big data analysis technology to construct a digital intelligent manufacturing system. Firstly, the K-mean algorithm is used to cluster the enterprise manufacturing data, and then the fuzzy C-mean algorithm is combined to detect the abnormal data and realize the preferential selection and control of product features. A semi-parametric algorithm is introduced to establish index weights to achieve optimal resource allocation. The results show that after manufacturing enterprises produce through the digital intelligent manufacturing system, qualified products account for 82% of the total output and productivity increases by approximately 44% on average. Big data analysis technology enables enterprises to analyze data effectively and enhances the development of the manufacturing industry in the digital economy.
Construction of Student Information Management System for Universities Based on Cloud Computing Platform
Authors: Chen Wei 
Published: October 2023

Abstract
The first step in this paper is to establish an integrated education information management platform that utilizes cloud computing as the scheduling center, considering the characteristics of cloud computing. The hierarchical structure of the student information management system and each business function module is designed using the B/S three-layer architecture. The fitness function evaluates individual merit based on K-means teaching data to ensure the genetic algorithm’s population diversity. The analysis model of university teaching data is constructed using the penalty function of chromosomes. The final test results show that when the network data transmission time reaches the 60s, the average network data traffic consumed is 260Byte, which indicates that the constructed student information management system has wide applicability.
Research on Promoting Professional Development of Foreign Language Teachers in Higher Education Based on Cross-cultural Competence in the Context of Deep Learning
Authors: Liu Chang 
Published: October 2023

Abstract
This paper introduces support vector machines in deep learning algorithms that can model and analyze cross-cultural teaching and knowledge bases. Wavelet functions are used instead of traditional functions to perform deep learning on training samples. Finally, the learning ability of the support vector machine is improved by the wavelet kernel function to complete the effective instruction of higher education teachers to develop students’ intercultural competence. The results show that the accuracy rate of the intercultural teaching level of the deep learning algorithm proposed in this paper reaches up to 99.25%, and the results of the intercultural ability performance of the higher vocational students are excellent, which shows that the method of this paper can improve the intercultural teaching ability of foreign language teachers and strengthen the intercultural knowledge training of students in higher vocational institutions.
A Modeling Study on the Teaching System of Chinese Language in Colleges and Universities and the Cultivation Path of Bi-Creative Talents
Authors: Shen Fei 
Published: October 2023

Abstract
The trend of cultivating Chinese language dual-creative talents in colleges and universities is inevitable due to the increasing importance of national soft power. This paper studies the Chinese language teaching system and the cultivation path of dual-creative talents in colleges and universities using a modeling approach. The competency model’s iceberg model determines the dimensions and measurement items of dual-creative talents, verified through reliability analysis. At the same time, a QFD model for quality assurance of dual-creative talent cultivation in universities was established, and the importance of demand factors was calculated by analyzing the obtained results of each rating. Among the four factors, the degree of conformity was from the highest to the lowest: creative attitude, basic creative ability, creative expansion ability, professional knowledge, and skills, with rating values of 4.19, 4.12, 3.67, and 3.49, respectively. The empirical analysis of QFD showed that the highest weight of the demand level of development achievement of dual-creative talents cultivation reached 0.4066, followed by the basic conditions of teaching, which reached This study can provide some reference and help for the cultivation of Chinese language double-creative talents in colleges and universities, and help improve the quality of double-creative talents cultivation.
Online Education Platform for Chinese Language Abroad Based on Remote Recognition System and Machine Learning
Authors: Zhao Mingming 
Published: October 2023

Abstract
The remote video transmission system and machine learning are this paper’s first areas of analysis. Secondly, the remote recognition system’s image processing and content-based image retrieval are analyzed algorithmically, including image filtering, morphological processing, and canny edge extraction. The Chinese Bon platform dataset is the platform chosen for this research. The analysis of learners’ learning behavior and grade prediction is conducted based on the Chinese Bon platform dataset’s four categories: basic course information, basic learner profile, learning behavior record and learning effect. A prediction model was established for grades based on the feature variables, and its model accuracy reached 60.83%, while the accuracy of the model obtained based on the remote recognition system and machine learning algorithm was 73.35%.
Research on the optimal allocation of resources for innovation and entrepreneurial education in universities in the context of deep learning
Authors: Zhou Xuemei 
Published: October 2023

Abstract
Optimizing educational resource allocation will undoubtedly influence how universities construct their entrepreneurship and innovation curricula. In this study, we examine innovation and entrepreneurial education, allocate educational resources, and choose neural network methods related to deep learning. The convolutional neural network algorithm is studied in four stages: the convolutional layer, the pooling layer, the activation function, and the fully connected layer. The convolutional neural network model uses backpropagation to adjust the output parameters’ divergence from the ideal values, adjust and update the weight parameters, and confirm the computational layer data and hidden layer data from the propagation process. The DEA algorithm is reviewed to enhance and evaluate the resource allocation for innovation and entrepreneurial education at universities, and a DEA-BPNN efficiency assessment technique is created. The complete quality of students has a strong positive association with the effectiveness of allocating resources for entrepreneurship and innovation education. The efficiency of deploying resources for innovation and entrepreneurial education increases by 0.0512 per unit improvement in student quality.
Optimisation of the training path of college students’ education management talents based on data mining algorithm
Authors: Zhao Zichun , Wang Wei 
Published: October 2023

Abstract
Network information development speeds up digital and text mining and influences the optimization of university talent training. We analyze the basic process and main text mining algorithms in this paper and combine the bag-of-words model and TF-IDE to complete the vectorization of text information. The model for generating document topics, i.e. LDA topic model, is refined and analyzed in terms of sampling methods. Analyze the degree of influence of education management talent skill development on other professional skills using quantitative means. Analyzing the education management curriculum system and talent cultivation characteristics, the cultivation of college students’ education management talents involves several skills, including communication skills, organizational skills, teamwork, and the ability to control the overall situation. Problem-solving and learning abilities are given greater attention regarding professionalism, with 85.3% and 82.5%, respectively.
Higher education management work based on information fusion technology for the development of innovation ability of college students
Authors: Wang Zhijuan 
Published: October 2023

Abstract
This paper explores the optimization methods of higher education management work to develop innovation competence. Focusing on classroom management, a method for assessing learning engagement based on information fusion technology is proposed. The facial images are localized based on Haar classification, and CNN is used to determine the learning emotion. Then, the fatigue level and learning concentration are detected based on eye state recognition and face posture estimation, respectively. The assessment of learning engagement is complete when the multidimensional information of classroom learning is fused. Among them, the better-performing face position decision layer features (F1=76.25%) and the facial expression decision layer features (F1=79.12%) are spliced and fused to increase the classification accuracy. The evaluation of learning engagement aids in improving the quality of classroom management and optimizing educational management of universities.
Transfer of higher education system and switching of education model based on multi-scale feature fusion network
Authors: Zhang Yuankui , Zhang Yuting 
Published: October 2023

Abstract
In this paper, we use computer techniques to extract the features of each convolutional layer of CNN, analyze the feature variations of different depth convolutions, and propose a new network framework to improve the head pose estimation task performance by combining the task characteristics of head pose estimation. Multi-scale feature information fusion is the basis of the proposed head pose estimation method (IRHP-Net), which consists of a feature extraction module and a multi-scale feature information fusion module. In the smart classroom learning environment, the algorithm is used to identify students’ attention areas and construct the distraction index and threshold parameters to determine the inattentive state and provide relevant teaching measures. Smart classroom teaching resulted in a 39.69% increase in students’ attention, as shown in the results. Students in the traditional teaching mode showed a 16.7% lower level of learning engagement. A 17.24% increase in academic performance was also a result of the increase in attention and learning engagement.
Research on the application of ergonomics in UI interface design
Authors: Chen Zhiyong 
Published: October 2023

Abstract
This paper firstly discusses the design method and design process of UI interface based on ergonomics, focusing on applying ergonomics principles on interactive UI interface, and discusses the design of UI interface text and color respectively. Secondly, a resilient optimization design model based on the human-computer interaction UI interface is proposed, and the constraints of the first stage and the first stage resilient sub-model are constrained using the equivalence planning method, respectively. The results show that the new version of the interactive UI interface based on ergonomics has a maximum absolute value of 26.83 for the visual coefficient and a minimum of 0.58 for the short-term memory, which is significantly more inclusive than the old version of the UI interface. This paper’s research results are expected to offer a more scientific and reliable design method for UI interface design, which will have greater practical application value and promotion prospects.
A study on the linkage between strategic human resource management and organizational effectiveness based on gradient descent algorithm
Authors: Ye Chunyan , Gou Huan 
Published: October 2023

Abstract
Using a gradient descent algorithm, a study on the linkage between strategic human resource management and organizational effectiveness. A logarithmic function with a base of 10 is used to represent the useful value of the fused elements of the association and simplify the expression formula for the usefulness of management. The usefulness of the management approach in achieving organizational effectiveness is measured using the information gain approach. The square of the difference between the predicted and true values is used as the loss function value, and the gradient descent algorithm is combined with the gradient descent algorithm to divide the effective joint data and calculate the solution gradient for all samples. Evaluation indexes such as accuracy and recall test the joint degree effective prediction model. The results show that the usefulness of the joint degree effective prediction model is classified into three degree levels: average [0,0.2), useful [0.2,0.4), and 40% or more as very useful. The team’s organizational commitment results in 50% of employees working hard, and only 5% are unmotivated to work.
The Construction of Cultivation System of Chinese Youth Football Players in the Perspective of Multimedia Era
Authors: Wang Xuye 
Published: October 2023

Abstract
The first step in this paper is to standardize each index based on factor analysis, then extract factors based on eigenvalues, and then use a rotation matrix to rotate and name the factor variables. The soccer player development system was created by determining the principal components based on the eigenvectors of the eigenvalues. The relationship between exogenous and endogenous latent variables was investigated by establishing structural equations to investigate the linear combination of variables. The model was used to conduct correlation and path analysis on the influencing factors of youth soccer player development. The study showed family factors strongly correlated with youth soccer player socialization r=0.656, p<0.01. Coaching factors moderately correlated with youth soccer player socialization r=0.456, p<0.01. The study of this paper provides some reference value for the development of youth soccer players.
Research on the design and implementation of computer experiment cloud platform under the application of big data technology
Authors: Dong Xiao , Cai Zhaohui , Xu Hemin , An Yuan 
Published: October 2023

Abstract
In this paper, the computer experiment cloud platform is built using big data technology, and various functions are implemented based on optimizing the platform parameters based on distributed estimation algorithms. The functional and non-functional requirements of the platform are determined, and the overall architecture design and system database design of the platform are carried out. The distributed estimation algorithm and the UDMA algorithm are used to identify the motor model, and the PID controller uses a particle swarm-based algorithm for parameter optimization. The platform system’s requirements are evaluated from environmental and performance perspectives to ensure that it meets the requirements proposed by the requirements analysis. The value of W(S
i) is small, and the actual performance load of the platform remains. The performance of the platform function is good and can withstand a large amount of concurrency, and the average value of 90% response time is maintained at 5.8698s, showing an increasing trend.
Analysis of Civic Education Discourse in Universities Based on Numerical Analysis Kruskal Algorithm
Authors: Tian Rong 
Published: October 2023

Abstract
This paper first proposes the discourse system of ideological and political education in colleges and universities, which mainly includes discourse goal innovation, discourse structure innovation, discourse paradigm innovation and discourse behavior innovation. Secondly, to facilitate the analysis and comparison of the data set, it is necessary to standardize various data and construct a similar relationship matrix based on the standardized data. Then, the correlation between teachers’ and students’ characteristics is incorporated to cluster the users to derive the user similarity and the final predicted rating of the Civic Education resources. Simulation experiments and statistical analysis validate the Kruskal algorithm-based example study of Civic Education discourse in colleges and universities. The results show that the measures of value perception and discourse power are in a reasonable interval, with a minimum value of 1 and a maximum value of 5, and the mean values are between 3.72 and 4.03, and the standard deviations are all greater than 0.75, reflecting the wide distribution of the samples, indicating that this study can improve the efficiency of the recommendation of Civic Education resources and the accuracy of discourse power analysis.
Construction and Improvement of Curriculum Civic System Based on Synergy Theory
Authors: Wang Zhijuan 
Published: October 2023

Abstract
This paper first studied the synergistic theory of college and university thinking, then constructed a factor analysis model of the influence of the thinking education environment, established the factor variables, used the rotation method to reduce the dimensionality of the variables and extracted the common factors. After that, the principal component analysis approach is used to calculate the covariance matrix, eigenvalues, and unit eigenvector. The continuous contribution of variance defines the primary components. A structural equation is constructed based on the correlation between potential and observed variables. In the end, the variables that affect the ideological and political climate of higher education are identified, and the educational impact of current college curricula and the possibility of influence of factors that influence them are assessed. The critical ratio of excellent tradition and quality advantage is 5.613. The critical ratio of multicultural challenges was 20.589, all greater than 0. All educational environment influences had a direct path relationship with educational effectiveness.
Numerical simulation of magnetization induction coupled discharge plasma discharge process
Authors: Wang Xudan , Ding Junling 
Published: October 2023

Abstract
First, this paper analyzes the plasma discharge and fluid model, and constructs the plasma discharge model by drift-diffusion approximation control equation, heavy particle component control equation, electric field distribution and volume force calculation, and plasma chemical kinetic model. Next, the coupling mechanism of inductively coupled RF plasma and its discharge characteristics are analyzed. Finally, the magnetized inductively coupled plasma discharge is simulated numerically. The results demonstrate that the current flowing on an inductor coil develops quicker at 0.045T and then calms down with an increase in the supplied constant dynamic magnetic field power, but the coil voltage exhibits the reverse effect.