bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Promotion and Teaching Methods of Uyghur Dance in Colleges and Universities
Authors: Tian Xue
Published: January 2024

Uyghur dance has a long history and needs to rely on education to inherit. However, the Uyghur dance education in local colleges and universities does not follow the development of the times. Aiming at the situation of Uyghur dance education in colleges and universities, a Uyghur dance pose generation network is constructed. By analyzing the main components and tasks of the autoencoder, the process of extracting music and dance movement features is explored. Combine LSTM to retain the information of dance action features and solve the problem of disappearing dance gradients. Extract the dance video as a sequence of skeletal key points and replace each joint point position with a number accordingly to improve the representation of dance action. The Uyghur dance pose generation network is used to analyze the features of Uyghur dance and propose promotion strategies based on the dance features. The results show that the amplitude and power of female Uyghur dance movements are relatively small, and the distance between joints and points is only [10,90] cm, while the amplitude of male Uyghur dance movements is much larger, and the distance between joints of the point rubbing step is [-10,100] cm. in the promotion of the dance, the degree of validity of the promotion of the combination of modern technology and Uyghur dance is 0.8546. The present study has promoted the reform of Uyghur dance education to some extent. The reform of Uyghur dance education is conducive to the preservation of national traditional dance.
The construction of fine management system of library library materials under the background of informationization
Authors: Ma Lingyun
Published: January 2024

The growth in the number of books leads to the increasing inefficiency and cost of traditional library data management methods for book verification and classification. To solve the problems of book classification, this paper proposes an automatic classification model, ERBERT-HMATT, for book data features. Firstly, the pre-training of BERT is improved by adding masking at the word and entity level. Then, the network structure of the model is designed based on HMCN. Finally, a multi-label attention mechanism is introduced in the initial feature extraction module, which gives different weights to the words of the input text to increase the attention to the text features, and the model is subjected to recurrent learning, which enhances the robustness of the model by adding fine-grained knowledge. Finally, the classification performance of the three algorithms, KNN, SVM, and ERBERT-HMATT, is tested on the same dataset. The accuracy of the ERBERT-HMATT classification algorithm is 0.1% higher than that of the KNN according to the results. Classifying 300 book information takes less than 100ms, which is significantly less than the processing time for SVM and KNN. This paper also found that the subject word field in the book information has a large positive effect on the model classification, which can improve the classification accuracy by 0.09 compared with the model with only the title field. The test results indicate that the method enhances the classification of book data to a certain extent.
Research on the Construction of University Cultural Brand IP Driven by Network Cloud Platform Technology
Authors: Gao Shan
Published: January 2024

Campus culture brand IP, as the soft power in the construction of university brand culture, has become an important material carrier for the inheritance and dissemination of university brand culture. In the cloud platform technology, we are using an information diffusion model to explore the diffusion degree and influence of college culture brand IP information on the network platform. The dissemination process of cultural brand IP information is examined from the point of view of sharing information resources in colleges and universities. Construct a competitive information dissemination system based on the user nodes of online social networks and the interrelationship between users. Promote the dissemination and diffusion of university cultural brand IP information on online social networks using a data-driven approach. The results show that: k value is 0.12, the promotion effect of college culture brand IP is 2.59621e+04, and the relative risk index is 0.354264. Within 0-6 hours, the maximum number of IP views reaches 34,000 times, which indicates that the authority of the college platform and the information diffusion model can improve the diffusion of college culture brand IP.
Research on Network Security Situation Assessment Model in Decentralized Computing Environment
Authors: Zhu Ye
Published: January 2024

In this paper, decentralized computing is used as an entry point to review the latest research results on network security issues through two methods, namely task assignment and hierarchical analysis, and construct a network security posture assessment model based on decentralized computing. A control framework is constructed by utilizing the functional complementarity of continuous authentication and security threat assessment in order to facilitate real-time observation of the security situation of the network and timely elimination of malicious nodes. A quantitative network security threat posture assessment model is constructed through hierarchical analysis to observe the extent of the breach of confidentiality and integrity of network information based on the security threat posture index. The effectiveness of the network security posture assessment model and method proposed in this paper was verified by empirical analysis in a simulated environment. The results show that after the simulated attack lasts for 12 minutes, the network security risk index measured by the assessment model in the test cascade case becomes larger with the intensification of the network attack, and the risk index value is up to 5.5. In summary, the network security posture assessment model based on decentralized computing designed in this paper can quickly reflect the changes in the security status of the underlying network and provide administrators with the current security status of the network in a macroscopic way.
Exploration and Practice of College Students’ Career Guidance Program in the Perspective of Green China
Authors: Liu Wenneng
Published: January 2024

The employment of vocational college graduates is a matter of social stability. In this paper, we first introduce modularized teaching in vocational college students’ employment guidance courses to unify the teaching of vocational college students’ career development and employment guidance courses. Secondly, in the preference analysis module, the WOA algorithm is used to optimize the selection of LSSVM parameters, and the WOA-LSSVM model adapted to the regression prediction of vocational college students’ employment preferences is proposed. Then, in the module of employment optimal matching, the Lagrangian conditional function extreme value is found in the discrete job data through the residual optimization algorithm, and the results of the optimal matching of vocational college students’ employment supply and demand are obtained. Finally, the overall situation and group differences in the intensity of employment pressure felt by vocational college students are analyzed. The results show that the maximum value of students’ employment pressure in the modular teaching of employment guidance is 128.28, the mean value is 0.02283, and the Std.Dev is 0.90383. The multivariate kurtosis coefficient decreases from 6.385 to 0.874, which is the critical value (c.r.). Decreases to 1.983<1.95, and the data are normally distributed. This study provides some references to enhance the career planning function of vocational college students’ career guidance courses.
Exploring the Emotional Characteristics of Chinese Language Literature Based on the Thinking Operation Model
Authors: Li Xiaoyan
Published: January 2024

In this paper, each text is mapped as a point in a multidimensional vector space in a thought operation model to represent the emotion feature vocabulary in Chinese language literary works in the form of word embedding. The bootstrapping technique is utilized to collect initial seed set vocabulary and target vocabulary, and a corpus of literary works with six basic emotion categories is established. Based on the emotional features of Chinese language literary works, the memory network model for textual emotion analysis based on multiple attention is constructed, and the textual emotion features of Chinese language literary works are empirically analyzed. The results show that the precision is 82.19%, 93.12%, and 94.1%, and the F1Score is 81.93%, 93.4%, and 93.76%, respectively, and the precision and F1Score are better than the effect of the control group model, i.e., it indicates that the effect of sentiment analysis is more excellent. The ratio values of positive emotion, negative emotion, and neutral emotion are, respectively, 63.16%, 15.49%, and 21.35%, i.e., the expression of emotion in Chinese language literary works is more rational. This study provides new perspectives and theoretical references for the study of traditional literary works and has the potential to expand the study in depth.
Coordinated Development of Civic Education and Student Management in Colleges and Universities Incorporating Principal Component Analysis Approach
Authors: Xu Mei
Published: January 2024

This paper observes the relationship between variables that cannot be explained through the structure of variable explanatory variance-covariance and explores the method of applying the theoretical model of principal component analysis and factor analysis by using the method of hypothesis. After studying the scope of application of the principal component analysis method and factor analysis method, both of which can be used in the general model of comprehensive evaluation of variables, the scientific management approach of planned behavior for student management in the classroom of college and university civic education is proposed. By empirically analyzing the Civics learning management and education evaluation of students and teachers in L colleges and universities, the experimental results show that the cumulative contribution rate of the three principal components, namely, high moral character, perfect personality and good communication, is 87.4% as the main observed variables. In the cluster analysis of the Civics performance, the best Civics performance was found in the category 2 and category 1 students in college L, with a total of 9 students conforming to it. The four principal component factors of the first-ranked teachers did not differ much, respectively 1.6485, 0.4653, 1.7463, −0.645, except for the teacher numbered 1, who had a big difference in the ranking place under the two evaluation methods, and the rest of the teachers did not have any difference, and on the whole, the quality of Civic and Political education in College L was better, and the harmonization with the student management was good.
A study of the clinical impact of different heart rate control management in patients with STEMI after percutaneous coronary intervention
Authors: Du Wentao , Shi Xue , Chen Xianru , Wang Xiu
Published: January 2024

Post-PCI STEMI patients may suffer from reduced perfusion capacity and myocardial injury, and few existing studies have focused on the role of heart rate control management in the clinical impact of post-PCI. In this paper, we first selected post-PCI STEMI patients as an example, given specific inclusion and exclusion criteria, and conducted controlled experiments through heart rate stability testing with different heart rate control administration programs. Secondly, linear regression combined with the SCAD penalty function was utilized for the screening of clinical impact variables in post-PCI STEMI patients. Finally, the clinical response, TIMI flow classification and myocardial injury of STEMI patients after PCI were analyzed, and the clinical influencing factors of STEMI patients were fully explored by combining ROC curve with linear regression. The results showed that the total effective rate of clinical efficacy in the MACE group was 95.65%, the significance test result of TIMI flow classification was 0.012, and myocardial injury indexes showed significant differences at 1% level after different stages of the beta-lactam dosing regimen. The predictive sensitivity in the MACE group was 95.29%, and its 95% confidence interval was 0.882~0.945. The number of high risks in the linear regression decreased almost 9-fold when the threshold of LogP was increased from 0 to 0.4. The management of heart rate control in post-PCI STEMI patients can be effectively achieved by different stages of the beta-lactam dosing regimen, and the negative impact on STEMI patients after PCI can be reduced.
An Innovative Model of Higher Mathematics Curriculum Education Incorporating Artificial Intelligence Technology
Authors: Zhang Xiaohui
Published: January 2024

This paper first proposes the direction of constructing a higher mathematics teaching mode supported by intelligent technology and then models the learner portrait of the learning outcome data according to the subject knowledge graph. An improved ant colony optimization algorithm is used to search for the optimal learning path, which is then combined with an improved convolutional neural network to generate a personalized learning path. The Trans R method is used to quantify the relationship between learners and learning resources and a semi-supervised learning conditional random field method based on K-NN is proposed to label learning resources and generate learning accurate evaluation for smart teaching. The smart teaching model of advanced mathematics courses is applied and analyzed in terms of students’ advanced mathematics pre and post-test scores, students’ satisfaction, teachers’ teaching methods and teaching resources in four directions. The analysis obtained that the posttest scores of the learners in the experimental group were 75.631, and the posttest scores of the learners in the control group were 66.314, with a difference of 9.317. The significance level of the variance chi-square test was 0.000<0.05, which shows that there is a significant difference between the posttest scores of the experimental group and those of the control group, and it indicates that the wisdom teaching of higher mathematics significantly enhances the learning performance of the learners.
Analysis of the Evolution of Calligraphy Creation Style Combined with Numerical Analysis Methods
Authors: Shen Mingjie
Published: January 2024

The combination of computer technology and calligraphy art is better applied to people’s daily lives while promoting the popularization and development of calligraphy art. In this paper, the mechanical model of the brush tip is constructed on the basis of the spring-vibrator model according to the relationship between the force and the deformation of the brush tip in the real calligraphy creation and drawing. The projection plane is constructed by the method of mapping, and the two-dimensional brush strokes generated on the projection plane are mapped onto the surface of the three-dimensional model in real-time, and the method of minimally enclosing the sphere of the brush tip is used to solve the normal vector direction of the plane. Finally, the orthographic projection of the contact area between the brush and the plane is taken as the brush stroke, and the real brush stroke is simplified to be fitted by two symmetric B-spline curves. The results show that the maximum value of the relevant parameter of the sine equation in the four simulations of the regular script style is 1.5075, which has the best-fitting effect. After 300 iterations of calligraphic creation style evolution, the style recognizability reaches 24.8. The method feeds back the process of recreating calligraphic style and increases the interactivity of calligraphic creation.
A Study of Leadership Development for Psychoeducationally Integrated Students Based on Social Cognitive Theory
Authors: Zhang Hui
Published: January 2024

Based on the social cognitive theory, this paper explores five major factors affecting self-efficacy, on the basis of which the SCT influence model is constructed in order to facilitate the analysis of self-efficacy sources. In the process of studying the dynamic activities of students’ psychological beliefs, the concept of belief consistency in social networks is proposed. Based on the DeGroot Learning idea, a Bayesian updating algorithm is introduced. The idea of belief aggregation is projected through three ways, such as algebra, geometry, and harmonic averaging, and the idea is combined with the Bayesian algorithm to update the dynamic model of students’ psychological beliefs and signal structure and construct the likelihood mapping matrix. The social cognition algorithm is optimized by introducing the definition of relative entropy into the matrix and establishing the signal structure model. Intervention experiments were set up, subjects as well as control variables were selected, and the numbers required for the experiments were prepared to analyze the role of social cognition on psychology education as well as psychological control and self-efficacy, respectively. The experiment shows that the leadership behavior score range of college students is between [3.5,4.5], the emotional involvement in leadership behavior is high, and the strength of the influence of behavioral involvement, emotional involvement, and cognitive involvement is 0.356, 0.321, and 0.394, respectively, which is a significant positive influence. In the basic situation of psychological control and self-efficacy, students’ self-efficacy >2.5, which is in the middle to high level, and students’ psychological control plays a mediating role in self-efficacy.
Opportunities and Challenges of Ideological and Political Education for College Students in the Internet Era
Authors: Zhang Wei
Published: January 2024

Using political and ideological education as a starting point, this paper creates a knowledge map of political and ideological education by gathering data, extracting knowledge, fusing knowledge, and using knowledge reasoning. It uses kernel problems as hints to accurately represent the primary competencies of the field of political and ideological education through task completion or problem-solving. Three data analysis perspectives are used to validate the validity of the knowledge map: the knowledge map algorithm, the ideological and political education visualization, and the possibilities and problems associated with ideological and political education. The findings indicate that the average profile value S is 0.8348, which is larger than 0.7, and the Q value of the keyword grouping network knowledge map is 0.5268, which is greater than 0.3, based on the examination of high-frequency keyword clustering in ideological and political education. According to the data, the keyword clustering findings we were able to generate are realistic and can more accurately depict the link and connection between various terms. Furthermore, it demonstrates the effectiveness of the knowledge map for political and ideological education created for this research in assessing the state of political and ideological education today.
Research on the construction of industrial product design and service platform based on KANO-AHP model
Authors: Dai Ying , Zhang Shusen
Published: January 2024

This paper utilizes the KANO model to establish the nonlinear relationship between the degree of availability of requirements and user satisfaction and determines the importance of customer requirements through AHP analysis. An industrial product design and service platform based on the KANO-AHP model is then constructed, and the key factors for the success of industrial product design are derived by unifying and categorizing the quality characteristics of the products or services, and the management strategies for the key factors are explored. To verify the effectiveness of the constructed platform, user requirements and performance are tested and analyzed. The results show that in the simulation of the number of users is less than 8000, the average time for the server side to respond to requests is basically unchanged, maintained at 10ms, all requests can be processed in time, and the modular task reorganization and allocation method used by the platform convergence of the number of iterations fluctuates less, with the amplitude of the interval in [4.06, 25.09]. The industrial product design and service platform based on this research is capable of meeting the customer’s demands for product services.
Studying the Integration Development Strategy of Outdoor Sports and Physical Training in the Background of the Internet
Authors: Cheng Yao
Published: January 2024

The most important thing in sports training is the development of ability, and the emergence of outdoor sports has made people realize that sports can better improve the efficiency of sports when they are integrated into the outdoors. The association between outdoor sports and physical training is analyzed in this paper using the association rule algorithm and chi-square test. Based on the number of correlation items in the dataset of outdoor sports and physical training, it can be determined whether there is a correlation or not. Combining the chi-square values and the degrees of freedom calculated from the column table, the significance levels of outdoor sports and physical training were obtained under the condition that the null hypothesis was valid. To determine the association value of outdoor sports and physical training, the distance of the serial curves between them was calculated. The focus was on exploring the common motivations of outdoor sports and physical training, as well as the relationship between outdoor spatial elements and exercise time and frequency. The results showed that Pearson’s chi-square value of outdoor exercise and physical training was 77.367, p=0.000, and the p-value was less than 0.05. Accessibility had a direct effect on fitness frequency, with the role effect values of 0.237* and 0.213*, respectively. The role effect value of physical environment on fitness time was 0.192*. It shows that combining outdoor space with physical training can increase the fitness frequency of exercisers.
Optimal allocation system of urban land use types under multi-objective constraints
Authors: Guo Yi , Zhao Peiwen , Zhang Yijia
Published: January 2024

This paper arranges suitable land use types according to the quality characteristics of land parcel units, obtains the objective function of optimal land use allocation, and constructs a multi-objective constraint system in the process of land use planning. The integer vector is used to encode the land use types and represent the spatial distribution of land use, combined with the particle swarm algorithm to calculate its adaptability, speed and position update based on the initial population size and construct the land use optimization allocation model based on the constraint system. The particle swarm algorithm is used to explore the geographic environment and climate resources, the economy of the natural economy of the study area, and Landsat TM remote sensing image technology is used to obtain the initial data on the land use of the study area and empirical analysis is carried out on the optimization of the allocation of urban land use in the study area. The results show that the algorithm converges faster and achieves global convergence when the parameter is set to the fourth state, and the comprehensive suitability evaluation function achieves global convergence at generation 73, with a value of 1.64E+08, which is faster than the convergence of parameter settings 1 and 2 as well as 3. The land types that increase in area include garden land, forest land, transportation land, and water and water conservancy facilities land, which increase by 0.8%, 2.84%, 0.14%, and 0.8%, respectively, which protects the arable land and restricts the expansion of the construction land in terms of the quantitative structure. This study enriches the content and methods of optimizing land use space allocation, which helps to rationalize the use of land resources.
Research on Digital Construction and Design of Minority Clothing Based on Multivariate Statistical Analysis
Authors: Chen Ranxuan , Lin Xi
Published: January 2024

Digitizing minority costumes is a modern way to protect non-heritage. In this paper, after analyzing the Hu invariant moment features and HOG features, we propose a feature extraction method for ethnic minority costumes that integrates the fusion features of HOG features and Hu invariant moment features. On this basis, the structure of the extracted multivariate feature data is analyzed, and the KPCA method of multivariate statistical analysis is adopted to process the multivariate data of ethnic minority costumes and digitally construct and design the ethnic minority costumes. In addition, experiments were conducted to explore the effect of minority costumes on feature extraction and the effect of digitization construction and design. The results show that the extraction accuracy of six ethnic costumes is stable at 0.75, 0.45, 0.50, 0.75, 0.72, and 0.68, respectively, and its Top-10 accuracy reaches 0.61 at the highest level, while the accuracy of retrieving only some of them is less than 0.40, and the effects of constructed ethnic costume outlines are all around 0.9. The output results of ethnic dresses constructed based on this research are roughly similar to the original ethnic dresses, which is conducive to the inheritance of ethnic dress culture.
Integration and Construction of Intelligent Learning Models for Business English Courses in Colleges and Universities under Big Data Technology
Authors: Wang Weiwei
Published: January 2024

Intelligent education is an inevitable trend in the development of teaching in colleges and universities, and this paper constructs a smart teaching mode of business English in colleges and universities based on the achievement scalar function and multi-objective optimization algorithm. In the paper, the mixed difference operator is used to improve the singularity of business English teaching objectives and to diversify the teaching objectives. The achievement scalar function is used to assess students’ business English proficiency, and teaching strategies are proposed based on the target distribution parameters. By exploring the intrinsic connection between diversified objectives and intelligent classrooms, the intelligent classroom teaching model is constructed. Analyzing the learning effect and language proficiency of students under the smart classroom teaching mode of business English, the feasibility and effectiveness of the teaching mode are demonstrated. The results show that in terms of creating a relaxed classroom learning environment, 0.7267 students agreed that the smart classroom could create a relaxing and enjoyable learning environment, and around 0.7 learners believed that the learning resources released by teachers through the smart classroom could further promote their understanding of knowledge. This study provides an effective reference guide for business English teaching, which is more conducive to the development and progress of business English education.
Exploration of an Innovative Model of Higher Education Management and Student Training Mechanism Based on Cognitive Mapping
Authors: Jing Xianggui
Published: January 2024

In this paper, we use cognitive mapping for four-parameter Logistics model fitting computation and obtain personalized learning resource paths incorporating learners’ fuzzy cognitive mapping after eliminating the influence of blunders and guessing factors on learners’ cognitive assessment. After calculating peer similarity based on the cognitive map, the cognitive change trajectory is tracked, and learning resources are recommended iteratively until students become proficient. Based on the cognitive objective function and knowledge relevance, the cognitive mapping of education management of college students is constructed. The research on the mechanism of higher education management and student cultivation is analyzed from the goal of talent cultivation in colleges and universities. Statistical analysis is utilized to analyze the research on the mechanism of higher education management and student cultivation. The results show that the t-value of the regression results are all greater than 2, the regression results are significant, and its regression coefficient is 0.87, which means that all dimensions of the cultivation mechanism of colleges and universities have a positive impact on external employability. In terms of academic attitude, moral cultivation and academic norms, the supervisor has a greater role in influencing postgraduates, and its percentage values are 49.2%, 52.1% and 46.5%, respectively, and the mean values of the three dimensions are above 4.1, while the standard deviation values are above 1.0. This study provides basic references and effective suggestions to promote the continuous improvement of graduate student training quality and is of great significance to the innovation of educational management and student training mechanisms.
Coordinated Development of Civic Education and Three-Whole Parenting Concepts in Colleges and Universities Based on Gray Correlation Approach
Authors: Zhao Zhenyi
Published: January 2024

Three-whole-education leading ideological and political education collaborative education has become an important means of moral education in the new era, which is explored in this paper. In the paper, after measuring the comprehensive index of the coordinated development of college ideological education and three-whole-parenting through the entropy weight-Topsis method, the gray correlation analysis method and the coupled coordination model are used to explore the coordinated development degree of college ideological education and three-whole-parenting concept. In addition, the relevant data were screened, and the level of coordinated development between the two was explored with empirical evidence, on the basis of which the BVAR model of Civic and Political Education and Three-Whole Parenting Concepts was constructed to explore the coordinated development mechanism of the two. The results show that among the 108 correlation values of Civic and Political Education and Three-Whole Parenting, there are 94 values ranging from (0,0.65] presenting medium correlation, and the coupling coordination degree is around 0.7, and the two are at the level of high-quality, coordinated development. The influence of the two mutual impulse responses is positive and converges after reaching the peak value of 200 and 250, respectively, in the second period, with the effect of mutual influence.
Research on Morphological Innovation Design of Industrial Products Based on Combinatorial Genetic Algorithm
Authors: Han Yan
Published: January 2024

This paper applies the combinatorial genetic algorithm to the design of industrial product forms to achieve the effect of industrial product form design innovation. The standard genetic algorithm is applied to industrial product design, and the optimal order of genetic optimization is constructed through continuous population genetics, combined with the minimum value of the objective function to construct the constraints of the innovative design of industrial products. Using the method of combinatorial optimization to integrate different elements in industrial product design, a coding method based on rows and columns is proposed for the set coverage problem of design elements. Analyzing the user’s preference for industrial product form design allows us to explore the demand direction of industrial product innovation design and formulate a suitable innovation design scheme. The results show that the consensus satisfaction of hair dryer form design in genetic optimization 2nd and 9th are higher than 0.8. When users are stimulated by like and dislike sample pictures, there is no significant difference in the average response time, p=0.337>0.05, and the difference in the average response time of the users is more significant p=0.020<0.05 when they are confronted with the preferred design shape.
Exploring the Teaching Mechanism of School Mental Health Education Based on Social Networks
Authors: An Rong
Published: January 2024

This paper analyzes the social network, explores the association structure in the social network, optimizes the classical social network mining algorithm by combining the penalty matrix, and constructs the mining algorithm for students’ mental health status based on the social network by using the penalty matrix for clustering inference. On this basis, the constructed algorithm is verified by combining quality index, performance index and modularity, and the mining of students’ mental health status and mental health influencing factors is carried out to explore the teaching mechanism of school mental health education from the side. The results show that the mental health social network has a total of 50 nodes and 169 edges, and the module degree is generally in (0.4,0.9), which is reasonably divided, and is in the subhealth condition, and the mental disorder situation accounts for more. The correlation of students’ mental health is mostly distributed between (2,5), and the correlation coefficients of environmental changes, academic expectations, interpersonal relationships, self-perception, psychological conflicts, life events, family environment, and economic situation with students’ mental health are all greater than 0.5 so that the mechanism of teaching mental health education in schools is a home-school-society linkage mechanism.
Analyzing the Beginning and End of the Rebellion of Shi Zhou Tusi by Lanyu’s Suppression in the Early Ming Dynasty in the Perspective of Algorithm Criticism
Authors: Qin Jiangkun , Hong Xia
Published: January 2024

The Tusi system was the main means of border minority rule in the Ming Dynasty, and analyzing the beginning and end of the Tusi rebellion and its pacification is an effective perspective to analyze the governance of the system. The paper builds an algorithmic criticism paradigm for the historical study of the Shizhou Rebellion in the early Ming Dynasty, proposes a framework extraction algorithm to realize the automatic acquisition of historical knowledge, identifies the consistency of the knowledge framework based on the conceptual lattice, and corrects the inconsistency by combining with the unity algorithm. After using an iterative algorithm to fuse the multi-source knowledge framework, constraints are added to the conditional random field to improve the extraction of event elements. The semantic reasoning of event features is completed by establishing a semantic knowledge association network of historical events through the association of elements. Based on the results of knowledge association, it is found that the knowledge flow between the topic pair “Tusi→Shizhouwei” is most likely to occur in the future with an association probability of 0.631. “kampong→Education” The probability of association between the theme pairs “kampong→Education”, “Shizhou→Appliance”, “Lanyu→Military”, and “Crackdown→Politics” is 0.631. The same possibility of knowledge flow in the future exists between theme pairs such as “Shizhou→Appliance”, “Lanyu→Military” and “Crackdown→Politics”, with association probabilities greater than 0.550, which suggests that the core contradiction between the Shizhou Tusi Rebellion and governance lies in the contradiction between the Tusi and the leadership rights and interests of the Shizhou Guards. The dissection of the Shi Zhou Tusi rebellion declares the profound influence of the Tusi system on the frontier governance of the Ming Dynasty and reveals the fundamental problems of local governance in the ancient Chinese Great Unification Dynasty.
The Application of CIPP Model in the Evaluation of Teaching Quality of College Education in the Context of New Era
Authors: Lei Zhong
Published: January 2024

The flaws in the conventional teaching quality evaluation system that have always existed have not been fixed since the start of the new century. This study suggests a teaching assessment model for college education that utilizes the CIPP model since there is a pressing need for a model that can satisfy the demands of the modern educational environment. The investigation examines the relevance of both approaches to teaching quality evaluation in educational institutions by combining the advantages of CIPP and BP neural networks. The artificial neural network’s working mechanism is described, the weights within the BP learning algorithm are modified, and the first version of the teaching assessment model is inferred based on an analysis of the structure and function of neurons. The conceptual model of teaching quality assessment in higher education is intended to be completed by the model’s algorithm and framework. Investigate and analyze the teaching quality of S colleges and universities using the empirical analysis approach. The results of the empirical investigation show that the correlation coefficients of the 4 dimensions of teaching evaluation are above 0.6, with control between 0.3-0.8, and they have a strong correlation. The Cronbach’s alpha coefficients of the survey are all above 0.7, with very good reliability.
A Study on a New Way of Thinking Based on Linear Programming to Analyze Civic Education in Colleges and Universities
Authors: Tang Qi , Yang Yue
Published: January 2024

This paper intends to construct a new multi-dimensional preference analysis model for learners by using the improved linear programming method of multi-dimensional preference analysis (LINMAP) to get the weight vector of attributes under the situation that the weights of attributes are completely unknown and for the uncertain multi-attribute decision-making problem that the elements of decision-making matrix are triangular fuzzy numbers, and the preference information is ordered pairs. The data of subjective or objective Civics education learning preferences are aggregated, and the statistical analysis of the data is carried out using SPSS.21 to generate the Civics education learning preference input degree weighting system. The results show that the offline behavioral input weight in the college Civics course is 0.5769, which is greater compared to the online input. And the attribute weights of course Civics preference are calculated to get Z
max = 2.29, Z
min = 0.73. Multiple feasible solutions can be obtained by taking any value between [0,1]. Based on the development law of the times, this paper makes a new thinking on ideological and political education and actively explores a new road suitable for the development of ideological and political education in colleges and universities.
The Design and Development of Traditional Elements in Visual Communication Design under the Perspective of New Media
Authors: Cai Yifei
Published: January 2024

This paper takes visual communication design as the entry point and reduces the complexity of the network model and the number of parameters by a convolutional neural network. The Faster R-CNN algorithm has been improved and is now used as the main algorithm for traditional element extraction and detection. The global detection and segmentation extraction algorithm based on U2-Net is utilized to reduce the depth of the network model, and the VGG16 algorithm is improved according to the characteristics of traditional elements, migration learning and its network structure in order to increase the sensory field and solve the problem of loss of accuracy of the feature maps on the basis of not changing the feature layer. An empirical study of traditional element extraction is conducted by using shadow costume patterns as an example. The results show that in multiple shadow images, the range of hues used for the five character types, namely, small Dan, Sheng, Jingsheng, Chou and old Dan, is H ∈ [0°, 210°] ∪ [345°, 360°], and medium-high saturation is dominant, and the range of brightness of the colors used is also basically the same, which is between 0.5-1. This research experiment verifies the feasibility of the element extraction algorithm, which can realize the feature extraction and classification of traditional elements, and its application in visual communication design can improve the visual impact of the works, provide consumers with more diversified design solutions, and can also effectively realize the innovative application and development of traditional elements.
Connotation analysis of vocational literacy of higher vocational students in modern service industry based on MOA model
Authors: Xu Xiaobin , Zhao Ruiye
Published: January 2024

In order to cope with the challenges of the rapid development of the information society and economy, the educational reform aiming at students’ development of vocational literacy in higher vocational education has become a basic consensus in the field of global education. Based on MOA theory, this paper constructs the research hypotheses on the influencing factors of vocational literacy of higher vocational students in the modern service industry from the dimensions of motivation, opportunity and ability. Multiple linear regression theory is introduced to analyze the influencing factors of vocational literacy of higher vocational students in the modern service industry, and the regression coefficients are estimated by penalized quantile regression. In order to verify the application validity of the research hypotheses and regression model constructed based on MOA theory in this paper, an empirical analysis was carried out by using the data in the way of a questionnaire survey. The results show that the factor loading values of each variable of the model are higher than the critical value of 0.6, and most of the factor loading values are above 0.8. The correlation coefficients between vocational literacy and the dimensions of the influencing factors are all in the range of 0.2-0.5, and the adjusted R2 results of the model of motivation, opportunity as well and competence exceed 65% of the degree of explanation. The connotation of vocational literacy for higher vocational students of the modern service industry under the MOA theory needs to deeply excavate their motivation for learning and pay attention to the construction of the internal and external environments as a way of improving the learning ability of the students.
Research on the classification and application of precision marketing based on big data e-commerce platforms
Authors: Dong Shaobin , Li Aihua , Kong Decai
Published: January 2024

This paper proposes and improves the traditional K-means algorithm, utilizes the HC-Kmeans algorithm to deeply analyze the marketing status quo of the M e-commerce platform, and constructs the overall framework of precision marketing based on big data technology. The RFM model is used to measure customer value and segment customer behavior. Formulate marketing strategies that correspond to the consumption habits and preferences of different categories of users. The data from 40 consecutive days of observation is used to verify the precision marketing effect of the A/B testing method, and the final results show a good improvement in the click rate, order rate, payment rate, and order amount. During the Double Twelve Shopping Festival, compared with the traditional mode, the payment amount of M Company’s product recommendation increased by 64,604 yuan, and the order increased by 301 units, so the implementation of the precision marketing strategy was effective.
Analysis of the Art and Emotional Skills of College Vocal Singing in the Age of Big Data
Authors: Zhang Fan
Published: January 2024

In this paper, the extracted acoustic features are processed using the MFCC method to classify the sound recognition. The linear spectrum of the sound is mapped onto the Mel FPP coefficients and Mel nonlinear spectrum, respectively, and the MFCC is obtained by cepstrum processing. The Mel FPP coefficients and Gaussian mixture model are combined to create the acoustic model. On this basis, the art and emotional skills of vocal singing are explored, and simulation and empirical experiments are set up to analyze the effect of the model constructed in this paper. The experimental results show that the model constructed in this paper tends to stabilize when the number of iterations is 2, the final accuracy rate stabilizes near 0.9, and the model is effective. Different vocal types are recognized by the model constructed in this paper, and the recognition rate of emotional expression of all vocal types is above 0.7, and the model recognition rate is high. The accuracy and recall classification for emotional expression techniques are 0.73 and 0.79, resulting in a more balanced evaluation overall.
Research on the Cultivation of Innovation and Entrepreneurship Ability of College Students under the Background of Big Data
Authors: Liu Yuran , Liang Xiaoying
Published: January 2024

This paper firstly coordinates the relationship between the internal elements of university innovation and entrepreneurship incubation systems through positive and negative feedback regulation so that the system reaches equilibrium or rises to a higher level of equilibrium. Secondly, based on the whole process of innovation and entrepreneurship, the diffusion model of the university innovation and entrepreneurship system is constructed, setting university students’ innovation and entrepreneurship ability as the expected benefit and cognitive bias as the cost and exploring the benefit curve of innovation and entrepreneurship ability and cognitive bias. Finally, we initialize the parameters of the simulation system for incubating innovation and entrepreneurship among college students and simulate the constructed scale-free network model using Matlab simulation. The results show that in the simulation Corporation1, when tick=5, the maximum value of the Y coordinate appears to be 27.5, which responds to the growing process of college students’ innovation and entrepreneurship incubation objects. The simulation of college students’ innovation and entrepreneurship proposed in this paper complements the short board of college students’ inability to practice innovation and entrepreneurship and provides a practical reference for the cultivation of innovation and entrepreneurship talent ability in college education.