bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development Status and Strategy Analysis of Medical Big Models
Authors: Zhang Guozheng , Liu Jinxin , Mu Jian 
Published: February 2024

Abstract
It is imperative to embark on a significant model-driven technology route for the intelligent development of the medical industry. This paper constructs a medical big model through three aspects: medical drug recommendation, medical data sampling, and medical image segmentation. The link between symptoms and drugs is established through the PALAS algorithm, the unbalanced numerical dataset is solved by using the oversampling SMOTE method, and the source domain of medical images is labeled by the MCDIFL method to adapt to the unsupervised domain in medical image segmentation. Finally, the development trend of medical macromodeling is discussed, and the data of diabetic patients admitted to Hospital X is used as a study case to specifically explore the effect of medical macromodeling in healthcare. The results show that the data of diabetic patient A was inputted into the medical extensive model analysis to obtain that the average values of patient A’s blood glucose value in the first three years were 7.13, 9.34, and 7.06 mmol/L, respectively, which experienced the evolution from mild to high and then to soft. The results can help medical personnel to make a scientific treatment plan for the patient. This study promotes the innovative application and development of artificial intelligence technology in medical services.
An innovative model of digitally empowered teaching of ideological and political courses for university students
Authors: Yang Han 
Published: February 2024

Abstract
In this paper, a large amount of data related to the teaching of ideological and political courses is collected using information technology and preprocessed in the four dimensions of data cleaning, missing value processing, sample labeling, and expert sample data. Aiming at the problem of underfitting of traditional neural network algorithm in the evaluation of digital teaching effect of ideological and political courses, the RBF neural network is improved and optimized by combining radial basis function and radial basis interpolation, and a teaching evaluation model based on the enhanced RBF network is constructed. The combination of statistical and simulation analysis is used to analyze the learning behavior of digitally empowered ideological and political courses. The results show that among the five types of teaching activities, participation in after-class discussion (-1.6443) performs better compared to the other four types of teaching activities (-1.7541, -1.6815, 1.7331, -1.8265), indicating that the neural network algorithm based on the Improved RBF accurately reflects the learning behavior of the group in the teaching of Digital Empowerment Ideology and Politics Course. This study realizes the scientific, modern and intelligent development of digitally empowered ideological and political course teaching. It promotes digital ideological and political course teaching to be more and more scientific and philosophical.
Analysis of Hot Topics and Evolution of Research in World-class Agricultural Universities Based on BERTopic
Authors: Lu Changyun , Zhu Longjiao , Xie Yushi , Xu Wentao , Zhao Yong , Cao Yuan 
Published: February 2024

Abstract
In this paper, the cited papers and cited patents of world-class agriculture-related universities are taken as the research objects, and the preprocessing process of the research hotspot text of agriculture-related universities is accomplished by combining the participle processing method and the TF-IDF method. To make up for the shortcomings of the semantic level of the LDA model, BERTopic is utilized to obtain the document-topic distribution probability and the topic-topic word distribution probability, and the topic hotness of different topics is calculated. Then the Glove method is used to extract the word vector features of the topic words, normalize them, calculate the word vectors by taking the distribution probability values as the weighted weights, solve the topic vectors, and then calculate the similarity of the hot topics in different time windows by the cosine similarity to explore the hot topics and the evolution of the world’s first-class agriculture-related colleges and universities research.
Experimental study of CD4-CART cells for the treatment of CD4-positive T-cell malignant hematologic diseases
Authors: Zang Pengyang 
Published: February 2024

Abstract
In the therapeutic field of T-cell lymphoma/leukemia, long-term efficacy has not yet reached a satisfactory level, especially for relapsed refractory T-cell hematological disorders. In this study, we experimentally explored the therapeutic potential of chimeric antigen-modified T cells targeting CD4 (CD4-CART). Specific CD4-CART-T cells were constructed and evaluated in vitro and in vivo against CD4+ T-cell malignant hematologic diseases using lentiviral vectors. The cytokine responses during CD4+-CART cell therapy were preliminarily analyzed. The study results showed that the incidence of adverse events associated with CAR-T cell therapy was 73.43%, and the incidence of > grade 2 CRS was 34.36%. All 20 patients achieved a 100% CR rate with guaranteed dose control, and none experienced grade 3 or higher CRS or severe neurotoxicity. This finding validates the effectiveness of novel therapeutic strategies such as CAR-T in combating T-cell malignant hematologic diseases and provides an experimental basis for future treatment.
Emotional Computing Technology Applications in Information Systems Security and Their Risk Prevention
Authors: Huang Gaofeng , Xu Xiangjun 
Published: February 2024

Abstract
This paper applies the emotion extraction method based on emotion lexicon to the group emotion analysis of the information system, combines the vector space model to process the text emotion in the information system, expresses the emotion in the form of vectors, and divides the different types of emotion according to the distance between the emotion vectors for identification. The five-level index system in fuzzy mathematics is chosen to measure the value of emotional intensity, and by analyzing the emotional state of the group in the information leakage incident, a decision in line with the user’s emotion is made based on the emotion of the information system security. Accordingly, the security defense index of the information system is improved according to the information security risk index. The results show that in identifying the emotions of the information system security events, the group’s emotions are mainly biased towards the negative. The proportion of negative emotions is the largest of 98%, which indicates that attention should be paid to the confidentiality of the user group’s information in the security of the information system. The maximum security event risk value in the evaluation in the information system is in the T8 period, with a value of 0.819, indicating that the security defense of the information system should be strengthened in the T8 period.
A Research on the Role of P.E. in Cultivating College Students from the Perspective of Integration of Academic Learning and Physical Exercising
Authors: Zhang Min 
Published: February 2024

Abstract
This paper discusses the importance of integrating sports and education in colleges and its role in the overall development of students. The study first constructs a basic framework for sports education in colleges and universities, and then analyzes in depth the positive effects of the integration of sports and education on students’ character, temperament, as well as sports morality and will quality by setting up a regression analysis model and using statistical test methods. The study’s results showed that the integration of sport and education not only significantly enhanced students’ sports morality and will quality, but also significantly positively affected character and temperament building. This finding emphasizes the importance of strengthening the position of the physical education discipline in higher education to promote the holistic development of students. The results showed that the integration of physical education had a positive effect on character and temperament, Sig=0.000<0.01. And the integration of physical education and teaching significantly affected students’ sports morality and volitional qualities, p<0.05. The present study is conducive to enhancing the importance of school physical education in the education system and promoting students’ all-round development.
Construction and Application of Random Forest (RF)-Based Early Childhood Development Assessment Models
Authors: Li Shengwei , Li Guiyun , Lu Xiaomeng 
Published: February 2024

Abstract
Early childhood development (ECD) is an essential foundation for children’s future development and a building block and driving force for society’s future development. Traditional evaluation models of early childhood development focus on children’s comprehensive evaluation, ignoring the importance of each evaluation data. In addition, the previous evaluation model mainly relies on the expert’s experience, which is highly dependent and has a strengthened subjectivity. Therefore, this paper combines the random forest algorithm to construct an early childhood development evaluation model and builds a multilayer evaluation index system. Test experiments show that the evaluation results obtained after the model’s training have a lower error than the traditional evaluation model, and the results are closer to the expected results. Application experiments show that the model can effectively present the evaluation results of children’s abilities and intuitively present comprehensive evaluation results, so that parents and teachers can view the corresponding evaluation data according to the needs of children’s development. At the same time, the evaluation results are consistent with the actual development of children, which can provide parents and teachers with effective and reliable evaluation data to improve children’s development program.
How Family Wealth Affects Fertility Intentions: the Roles of Social Media Exposure and Subjective Class Identification
Authors: Xia Qing , Yao Shun 
Published: February 2024

Abstract
Demographic dividend is an important driving force for sustainable economic development in developing countries. In recent years, the Chinese government has introduced a series of policies to encourage fertility, but the fertility rate still continues to decrease, which is likely to have a negative impact on China’s economic development. This study proposes a influencing mechanism model of the fertility intentions of the Chinese population from the perspectives of political economics and social psychology, and validates the model through a national sample survey. It is found that family wealth indirectly and positively affects fertility intentions through Chinese people’s subjective class identification; and social media exposure negatively moderates the relationship between family wealth and subjective class identification. This mechanism provides a theoretical explanation for the current special changes in fertility intentions to a certain extent, and also provides a practical basis for policy makers and media regulators to take measures to stimulate Chinese people’s fertility intentions.
Decorative Arts for International Cultural Exchange in the Information Age: Implications for Global Art Education and Identity Formation
Authors: Wang Xueyan 
Published: February 2024

Abstract
Using the “One Belt, One Road” initiative, the study constructs a model of decorative arts to promote international cultural exchanges, and analyzes its role in promoting the principles of harmony, tolerance and mutual benefit. Using principal component analysis and PLS-SEM model, the study focuses on the specific impact of decorative arts in four aspects: international cultural exchange concept, resource conditions, organizational structure and international cultural education. The study results show that decorative arts significantly promote the idea of international cultural exchange, optimize resource conditions, build an effective organizational structure and advance international cultural education. Specific data show that the impact coefficient of decorative arts in promoting the concept of international cultural exchange on global art education and identity shaping is 0.726, the impact coefficient of resource guarantee is 0.714, the impact coefficient of social organization is 0.788, and the indirect impact coefficient of international cultural education is 0.685.This indicates that decorative arts have an essential position in international cultural exchange and have a global art education and identity shaping has a significant favorable influence. The study highlights the critical role of decorative arts in the era of globalization, provides new perspectives for a deeper understanding of their role in international cultural exchange, and offers essential references for developing strategies to promote global arts education and identity shaping.
Research on Optimization of University English Practice Teaching Mode Based on Graph Structure in Online Learning Environment
Authors: Wang Linyan , Zhang Xinyu 
Published: February 2024

Abstract
This study investigates effective integration of node and edge features through N-way K-shot problem definition and iterative updating of graph structure information. The flexibility and effectiveness of the model are enhanced by using the gate function of the adaptive layer to control the degree of neighborhood aggregation and optimize the edge features through the double stochastic normalization technique. The introduction of the LGACN model strengthens the clustering performance through the Attention Network, and improves the adaptability and accuracy of the teaching model. The empirical Analysis shows that compared with the traditional method, the model has outstanding performance in enhancing students’ knowledge understanding, skill application and vocational quality, especially the student satisfaction in practical teaching effect and student-student mutual evaluation is significantly improved. Among the 256 students in the experimental class, the comprehensive satisfaction score increased from 68.15-80.21 to 80.21-89.89, significantly improving teaching effectiveness. By deeply optimizing the practical teaching mode of college English, this study provides new perspectives and effective strategies for language teaching in online learning environments, which helps to improve teaching effectiveness and student satisfaction.
The way of using digital media based on artificial intelligence technology and the path of creation
Authors: Lu Shan , Ma Shiming 
Published: February 2024

Abstract
This paper explores new approaches to the application and creation of digital media in the context of the rapid development of artificial intelligence technology, with a particular focus on virtual reality interaction. The study utilizes the spatial distance of the enclosing spheres in the hybrid hierarchical enclosing box and the characteristic of non-intersection between the enclosing boxes for collision detection, and the collision information returned by the rays is analyzed in depth. Meanwhile, the intersection test method is used to improve the efficiency of collision detection. And a subjective evaluation of 10 users’ experience in virtual reality art interaction was conducted. The results showed that the system was highly rated in accuracy (average score of 8.39), but rated lower in simplicity (average score of 4.28). There was a positive relationship between the user’s eye gaze duration and the number of interruptions and misoperations in art interactions. At an eye gaze duration of 0.2 seconds, half of the users did not experience interaction interruptions; when the gaze duration increased to 1.2 seconds, all users had no interruptions. This paper provides a practical reference case for using AI technology in digital media applications and creation, especially in enhancing the accuracy and efficiency of virtual reality interactions.
Artificial Intelligence Technology Empowers Communication and Dissemination of New Media Arts
Authors: Chen Huan 
Published: February 2024

Abstract
The study adopts digital ground model (DTM) and digital elevation model (DEM) to construct the virtual spatial environment, and combines extensive texture mapping and small texture mapping techniques to optimize the texture display on the surface of the 3D model. The coordinate system transformation of computer graphics further enhances the fidelity of the virtual environment. In addition, this study analyzes the information diffusion pattern in the network and real space based on the information space model. The empirical analysis shows that the spread of new media art in the virtual communication space has been significantly enhanced, especially in expressing individual and collective emotions, contemporary media art has obvious advantages compared with traditional art. The information dissemination analysis confirms the accuracy of the information diffusion model in predicting the communication trend of contemporary media art, and the negative sentiment index of modern media art is lower than that of traditional art between 2016 and 2023, showing a more positive emotional communication pattern. This study shows that artificial intelligence technology can effectively promote the communication and dissemination of new media art. Through the construction of virtual space and the application of information diffusion model, contemporary media art is not only improved in communication efficiency and dynamics.
Research on Effective Methods to Enhance the Quality of Ideological and Political Education in Colleges and Universities under the Perspective of Internet Plus
Authors: Qiao Xinjie 
Published: February 2024

Abstract
More current research focuses mainly on the construction and innovation of the mechanism of Civic and Political education, and there are few studies related to improving the quality of Civic and Political education from the perspective of student behavioral data. In this paper, we use the data mining structure to deeply mine the students’ civic and political behavior, give the improved K-means and plain Bayesian algorithms based on principal component analysis, and design a data warehouse by applying the campus card data for college students. The data on students’ ideological and political behaviors were mined from three aspects of consumption, study, and life. A perception model of students’ mental health status was established by combining the data of students’ ideological and political behaviors in the campus one-card system with the plain Bayesian algorithm to analyze the students’ mental health status in depth. The results show that the peak monthly consumption of students in the second category of student consumption behavior reaches 893.4 yuan, and the proportion of students in the second category of life behavior reaches 62.13%. In the results of mental health state perception, 32.67% of students have the potential risk of suicide, and more than 50% of students have different degrees of depression. Ideological and political education in colleges and universities need to focus on developing students’ mental health and carry out diversified educational activities to improve the quality of ideological and political education in colleges and universities.
Analysis of the institutional mechanism of school-site cooperation facilitated by artificial intelligence technology in the context of industry-education integration
Authors: Li Hui 
Published: February 2024

Abstract
School-local cooperation is an inevitable choice for higher vocational education, and the construction of school-local cooperation institutions and mechanisms has become the key to the deep integration of school-local, mutual benefit and win-win, long-term stability. Based on the evolutionary game theory under artificial intelligence technology, this paper establishes a tripartite game interaction model of government-enterprise-university, makes relevant research assumptions for the triple game interaction model, solves the threefold benefit function, and constructs a tripartite payment matrix of game interaction based on the research assumptions. Based on the three-party game payment matrix, the stability of the three-party evolutionary game model is studied by replicating the dynamic equations. To obtain the specific strategy of the institutional mechanism of school-local cooperation, the stability of the evolutionary game model was analyzed by numerical simulation and simulation using MATLAB software. The results show that: when the model parameters satisfy the stability condition H(1,1,1), the university and enterprise can reach stability after 0.4 and 0.2 unit time of evolution respectively, and the tripartite evolutionary stability can be realized when the participation costs of local government, enterprise and university are all 80, which promotes the choice of school-local cooperation strategy and enhances the quality of talent cultivation in higher vocational education.
Analysis on the Construction and Realization of Cultivation Mechanism of Young Marxists in Colleges and Universities in the Internet Era
Authors: Gao Yan 
Published: February 2024

Abstract
Based on the design of functional orientation, the training mechanism of young Marxists was innovated by combining network characteristics. Forty experts from enterprises, colleges, and universities were selected, and the Delphi method was applied to finalize the evaluation index system of the Marxist cultivation mechanism. Based on the evaluation index system, the Marxist cultivation mechanism’s evaluation model was constructed using principal component analysis. The results show that the weight coefficient of the effect index Q16 of the Marxist cultivation mechanism is 0.32415, and the weight coefficient of the innovation index Q8 of the Marxist cultivation mechanism is 0.20381. The extracted principal components can effectively explain the key factors of the cultivation mechanism. This study advances the new development of the Marxist cultivation mechanism in terms of epochal, scientific, and systematic, which is of great significance to the development of Marxist education in colleges and universities.
Considerations Regarding Electrical Equipment Monitoring Through Infrared Thermography
Authors: Dragomir Alin , Adam Maricel , Antohi Silviu-Marian , Vîlcu Adrian , Bodoga Alexandra 
Published: February 2024

Abstract
In the paper are highlighted the main advantages of wireless monitoring methods present in the market for electrical equipment temperature surveillance. Also, are considerate the mandatory corrections applied to the thermographic image in order to adjust the electrical equipment temperature. In the final part, there are shown the resulted values of an infrared thermography inspection performed in industrial environment, which reveals the thermal stresses identification of the busbar’s connections from a medium voltage switch separator. In addition, the paper present why a highly reflexive surface is not suitable for infrared thermography, and in what manner affects the data obtained from the monitoring devices.