bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.