bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative Analysis and Modeling of Student Innovation Capability in Higher Education Management in an Innovative and Entrepreneurial Environment
Authors: Miao Yuee 
Published: November 2024

Abstract
Colleges and universities often focus on cultivating talent, a practice that directly contributes to the lack of creativity among their students. In light of this, this paper aims to promote education reform and enhance students’ capacity for innovation. This paper constructs the evaluation index system and model of innovation ability of students in colleges and universities to promote the cultivation of innovative talents. Based on the AHP model to determine the index weight of each evaluation factor, with the help of gray correlation to analyze the relationship of each evaluation index, the decision matrix is established, and the gray comprehensive judgment model is constructed. We establish the evaluation sample matrix by using the whitened weight function to determine the evaluation gray class. We then calculate the gray evaluation coefficients, weight vectors, and weight matrices to arrive at a comprehensive evaluation of innovative ability. This paper employs the Hebei University of Technology in China as its research site and applies its methodology to evaluate the innovation capacity of its students. The comprehensive evaluation value of the students’ innovative abilities is only 6.67, placing them at the medium level. The maximum relative error between the evaluation mean value of each specific index at the index level and the expert evaluation result is 1.84%. In terms of the satisfaction of the evaluation method, the satisfaction mean value of this paper’s method exceeds that of the expert evaluation method in the dimensions of the evaluation concept, the evaluation subject, the evaluation method, the evaluation indexes, the evaluation procedure, and the application of the evaluation result, which are respectively 0.14, 1.25, 1.43, 0.7, 1.45, and 0.49.
Research on the Innovative Expression of Folk Art under Intelligent Technology Support
Authors: Wan Yuanyuan 
Published: November 2024

Abstract
Chinese folk art is a valuable cultural treasure of China, and in the context of digitalization and the information revolution, the growth of productivity has laid a solid foundation for the advancement of folk art display modes. Therefore, this paper combines three-dimensional modeling, human-computer interaction technology, and augmented reality technology to design a digital folk art display system. It aims to create an innovative display system with interactive features, thereby enhancing the inheritance and development of folk art. This paper employed a quantitative testing method to test the folk art display system, focusing on cultural identity and psychological experience. The data results show that the students’ overall cultural identity after using the folk art digital display system proposed in this paper is 88.15%.
Mathematical and Intellectual Innovation in Higher Education Talent Training Models
Authors: Wu Chunhua 
Published: November 2024

Abstract
The economy and society have entered a highly transformative digital age. Digital Intelligence promotes the change of social and economic forms and promotes the integration and innovation of technology, economy and society. In this paper, we formulate the goal of training talents with digital intelligence thinking and the model of training talents with digital intelligence thinking, and propose a strategy for implementing talent training. Using big data technology (cloud computing resource scheduling method, virtual scene dynamic splicing technology) to assist in the implementation of teaching strategies. Conduct simulation experiments to analyze the performance of the cloud resource scheduling algorithm proposed in this paper on different numbers of virtual machines. Evaluate the effect of virtual scene splicing technology on image alignment. Discuss the influences factors from the three aspects of cultivation objectives, curriculum arrangement, and scientific research training in light of the satisfaction of the implementation of the mathematical and intellectual talent cultivation model. The cultivation objectives for numerical intelligence ability are viewed by 40.61% of the students as average, and 13.75% of them feel completely satisfied. Only 4.31% of the students agreed on scientific research and innovation. It can be seen that most of the students did not carry out any interdisciplinary research in depth. It shows that the implementation of the strategy for cultivating mathematical and intellectual talents still needs improvement and strengthening.
Analysis of Internet Communication Effect and Influencing Factors of Traditional Music
Authors: Xiong Ying 
Published: November 2024

Abstract
This paper digs out the corresponding influencing factors by defining the traditional music communication effect. For research purposes, the questionnaire is analyzed to analyze the impact of traditional music communication from an Internet perspective. Two distribution methods, online and offline, are used to collect research data. The data are analyzed based on the Pearson correlation coefficient and multiple regression model, after testing the reliability of the questionnaire. The music form scored the highest, with a mean of 20.70 and a standard deviation of 12.09, and it had the greatest influence on the traditional music dissemination process. There is a significant positive correlation between music content, music form, creator, communicator, audience, and communication media and traditional music communication effect, P<0.05, and the explanatory power of the independent variable to the dependent variable is 68.8%, which leads to the regression equation of the factors influencing the communication effect of traditional music in the Internet perspective. This study provides a new understanding of the Internet communication effect of traditional music, allowing it to be comprehensively improved.
Research on Multidimensional Data Analysis and Predictive Modeling for International Political Stability Assessment
Authors: Xu Yupu 
Published: November 2024

Abstract
International political stability has been a hot issue of global concern. Starting from the factors influencing international political stability, the study constructs a prediction model based on the CNN neural network and takes some international countries as the case study objects to predict the political stability of each country. The system of political stability influencing factor indicators is constructed. 13 influencing factor indicators are selected and divided into three categories, and the warning intervals of early warning indicators are determined. The study trained and validated the CNN neural network model, and the results showed that the mean square error of the prediction model was 1.862 × 108, the average accuracy of the model was 1.53%, and the relative error of each year was within ±4%, which reached the set model accuracy, and thus the prediction model proposed in this paper can be highly accurate. Subsequently, 44 countries along the route were selected to carry out political stability prediction research using the early warning model, and finally, the political stability of some countries was investigated according to the stability interval level classification method, and the results showed that the political stability of Syria, Iran, and many other countries had a high-risk phenomenon.
Innovation of Physical Education and Health Curriculum Teaching Models in Colleges and Universities in the Digital Era and Its Contribution to Students’ Core Literacy
Authors: Yang Shen 
Published: November 2024

Abstract
Physical education and health curricula in colleges and universities are obsolete, and there is an urgent need to innovate teaching models and methods. To achieve innovation in physical education and health teaching, this paper utilizes cutting-edge information technology like motion recognition to construct a physical education and health data monitoring model. Firstly, the positional relationship between coordinate systems is determined, and the established coordinate system is used to describe the orientation and position of human postural joints, and the rotation matrix is used to define the rotation from the global coordinate system to the current orientation of the local coordinate system of bones. A human motion joint skeletal chain model is created that has 21 bones and 21 joints. The joint pose solution method is proposed, and the human kinematic model is constructed by combining robot ortho kinematics and coordinate transformation. A position estimation algorithm combining inertial navigation and a human kinematics model has been designed. After analyzing the performance of the recognition model, analyze the effects of its application on the innovation of college physical education courses. It is found that the model in this paper monitors the heart rate data with an error of only 3 or less, and the accuracy of human movement recognition on the MHealth and PAMAP2 datasets is 97.38% and 96.63%, respectively, and the learning ability is optimal. After one semester of innovative mode teaching and the use of a physical education and health data monitoring model, the mean values of physical education and health knowledge, physical education behavior, physical fitness and health, motor skills, and physical character of the experimental class were 35.77, 25.53, 25.04, 35.73, and 31.56 points higher than those of the control class, respectively. Motivation, skill acquisition, after-school sports, and sports concern were significantly higher in the experimental class, with scores of 5.66, 6.71, 5.61, and 3.65 points higher than the control class. This paper’s innovative teaching mode and model have been effective in improving teaching quality and stimulating students’ sports and health habits.
Study on the Promoting Role of Non-Heritage Cultural and Creative Designs on Rural Revitalization Strategy in Multimedia Environment
Authors: Zhang Lihua 
Published: November 2024

Abstract
The innovative combination of multimedia technology and non-legacy can enrich the expression of non-legacy and let traditional culture show new vitality. This paper selects, combines, and weights the evaluation indexes for non-heritage cultural creation and rural revitalization in the multimedia environment. We use the cloud model to measure the development level of non-heritage cultural creation and rural revitalization in a region from 2018 to 2023. We construct the regression model of non-heritage cultural and creative design and rural revitalization on this basis, applying the multiple linear regression method to determine the contribution of non-heritage cultural and creative design to rural revitalization and to investigate their role in promoting it. The results for non-heritage cultural and creative design and rural revitalization measures in the sample area are 0.301 and 0.331 respectively, reflecting uneven regional development. For every 1% increase in non-heritage cultural and creative design, the development level of rural revitalization increases by 0.316%. Notably, the derivative products of non-heritage cultural and creative design significantly contribute to rural revitalization, with a contribution of 0.315. Facilitating the transformation of non-heritage cultural and creative products into cultural and tourism products, establishing a mechanism for the incorporation of non-heritage cultural and creative design, and innovating non-heritage cultural and creative brands can promote further development of rural revitalization.
Model Design and Discourse Construction of Intercultural Communication of Chinese Cultural Community in Globalized Business Environment
Authors: Zhang Tingfang 
Published: November 2024

Abstract
China has a long history and unique cultural traditions, containing many rich wisdom and values. This paper focuses on cross-cultural communication within the Chinese cultural community and how to strengthen the discourse power of Chinese culture in the context of global business. Global principal component analysis and spatial econometric modeling are used to analyze the impact of cross-cultural communication on China’s export trade, highlighting the importance of cross-cultural communication in China and global economic development. The cross-cultural communication platform is constructed based on Vue.js and Koa framework, and the merchandise purchase module is developed to meet the needs of the development of the global business environment. The spatial Durbin model is identified as the optimal model that can be selected in this paper by LM, Hausman, LR, and Wald tests. Based on the SDM model, the results of the spatial effect decomposition of the impact of cross-cultural communication on China’s export trade are given, in which the core explanatory variable cross-cultural communication is significantly positive in all three effects, and the direct and indirect effects of the cross-cultural communication variables pass the test at the 5% significant level. By analyzing the application effect of the cross-cultural communication platform in this paper, the significant role of the platform in promoting cross-cultural communication between China and foreign countries is fully demonstrated.
A Study on the Cultivation of Clinical Thinking Ability of Vocational Education Nursing Students Assisted by Information Technology
Authors: Zhu Qing , Li Yufang 
Published: November 2024

Abstract
The proliferation of information technology has provided innovative developments in the clinical training and education of nursing students. The auxiliary role of information technology in the medical field is discussed in this paper, which encompasses medical-related surgery, medical specialty teaching, scientific research, and remote diagnosis and treatment. A virtual simulation teaching system was constructed based on the assistance of information technology, and the development process of the system was divided into three-dimensional modeling, interactive function design, system packaging and distribution, and testing and evaluation sections. It also performs functional simulation of each section and provides 3-dimensional visualization of traveling waves, standing waves, and the acceleration principle through the mathematical modeling of traveling wave and standing wave simulation. Finally, the human-computer interaction was realized through the collision detection technology of the smoothing function and directed envelope box algorithm. There was a significant difference between the experimental and control groups in terms of exam performance scores, as well as the total clinical thinking skills scores of the two groups. The average evaluation score of students on the 14 evaluation items reached 8.69. It is clear that the VERT virtual simulation teaching system has a positive impact on the teaching of nursing, and the assistance of information technology is beneficial to the development of good clinical thinking ability of nursing students.
Computational fluid dynamics-based design method for gas turbine internal flow field optimization
Authors: Sui Xin 
Published: November 2024

Abstract
The performance of a gas turbine directly affects its energy conversion efficiency and operation stability rate, while the optimization of the internal flow field is the key to improving its performance. Computational Fluid Dynamics (CFD), as a powerful numerical simulation tool, plays an important role in optimizing the gas turbine flow field. In this paper, the turbine of the gas turbine is taken as an object, and CFD technology is used to analyze the distribution of the flow field inside the turbine and to realize the optimization design of the gas turbine in this way. The finite volume method (FCM) based discretization of the N-S governing equations is selected, and the RNG k-ε turbulence model is used for numerical simulation. The mounting angle, geometric angle, and mid-arc are used to optimize the aerodynamic joint of the turbine’s dynamic and static blades based on the results of the 3D flow field analysis. The error of the RNG k-ε model in the efficiency characteristic line is smaller than that of the SST model and the EARSM model, and its maximum relative errors with the experimental values of efficiency and flow rate are 3.4% and 4.6%, respectively, which are within the reasonable range, indicating that the reliability of the numerical calculation method in this paper meets the requirements. Compared with the initial design of the turbine, the mass flow rate and total efficiency of the optimized turbine in this paper have been improved by 0.88% and 4.93%, respectively, and the expansion ratio has been reduced by 6.15%, which is a better optimization effect, and lays a practical foundation for further optimization of the design of the gas turbine.
Modeling Kindergarten Teachers’ Leadership in Child Care Education and Its Contribution to Teaching Quality
Authors: Wang Jingshu 
Published: November 2024

Abstract
This paper synthesizes the theories of kindergarten care education and leadership, constructs the kindergarten teachers’ leadership model of care education, and defines the four independent variables of the model. The questionnaire design is completed through interviews and references to related literature. The reliability and validity of the research data based on the questionnaire are evaluated, and the method of analysis and calculation process are provided. Using this data analysis method, the leadership model of kindergarten teachers in childcare education and the quality of teaching and learning are empirically analyzed. The results show that the leadership model of kindergarten teachers’ childcare education has a significant positive correlation with the quality of teaching and learning, and the regression equation between the two is teaching and learning quality = 1.838+0.276*leadership traits + 0.150*leadership behaviors + 0.171*leadership context + 0.153*leadership theory of change, and there is no multicollinearity, which reveals the mechanism of the interaction between the leadership model of kindergarten teachers’ childcare education and the quality of teaching and learning. The mechanism of action in teaching quality can elevate kindergarten teaching quality to a new level.
A Model of Sentiment Analysis for College Music Teaching Based on Musical Expression
Authors: Wang Xuecheng 
Published: November 2024

Abstract
In this paper, we first present the structure of the Hierarchical Sentiment Analysis Model for Multimodal Fusion (HMAMF). The model uses the Bi-LSTM method to extract unimodal music features and a CME encoder for feature fusion. After unimodal sentiment analysis, the loss function of the auxiliary training dataset is obtained and co-trained. Finally, the application of the HMAMF model in university music teaching is being explored. The results show that the agreement between the dominant sentiment of the HMAMF model and the prediction results is >80%, and the model is well-tested. The model underwent 35 training sessions when the correct rate for network recognition was 97.19%. The mean accuracy of the model’s 3-time recognition for music lengths from 50 seconds to 300 seconds ranged from 87.92% to 98.20%, and there was a slight decrease in the accuracy of the model’s recognition as the music length increased. The mood and beat of the music were judged by the model in a way that was highly consistent with the students’ delineation results. Students and teachers’ satisfaction with the performance of the sentiment analysis model in terms of “music tempo, rhythm, mood, content, and recognition time” ranged from 81.15% to 85.83% and from 83.25% to 92.39%, respectively. Teachers and students are satisfied with the HMAMF model proposed in this paper at a rate of 89.43% and 90.97%, respectively. The HMAMF model is proven to be suitable for use in the music teaching process.
A Strategic Study on Quality Improvement of Physical Education Teaching Empowered by Digital Intelligence Technology
Authors: Wei Lingling 
Published: November 2024

Abstract
The development of digital intelligence technology has created a brand new path for the improvement of physical education teaching quality. Aiming at the deficiencies of the current physical education teaching quality, the study introduces digital intelligence technology to design the strategy of physical education teaching quality improvement and establishes the physical education teaching quality evaluation model based on the PSO-BPNN algorithm to quantify the effect of physical education teaching quality improvement empowered by digital intelligence technology. Five courses, including basketball and soccer, taken by a university in 2022-2023 are evaluated as objects to assess the teaching quality of physical education after the empowerment of digital intelligence technology. The results show that the error between the actual output results and the expected output results of the PSO-BPNN model is within the ideal error range. And the evaluation grades of the five courses reached good and above, among which soccer and table tennis achieved excellent grades. It indicates that the PSO-BPNN model can effectively quantify the impact of the application of digital intelligence technology on the improvement of physical education teaching quality. At the same time, it shows that the teaching method of digital intelligence in physical education can significantly improve the quality of physical education teaching.
Quantification of the effect of environmental variables on the rate of starch accumulation during the potato growth cycle
Authors: Wu Guili 
Published: November 2024

Abstract
In this study, we selected potato varieties with varying starch contents, set up different degrees of water stress treatments, and varied temperatures to investigate the effects of water stress and high temperatures on the activities of key enzymes of potato starch synthesis and the rate of starch accumulation. We observed the mechanism of potato water stress on starch synthesis and accumulation. Next, we measured the amount of starch in potato tubers across various potato types exposed to varying levels of drought stress. The findings showed that soil moisture stress greatly decreased the activities of the AGPase, GBSS, SSS, and SBE enzymes (P<0.05). Under a severe drought-stress environment, the starch content was significantly reduced to a minimum value of 74 mg/g compared to normal moisture conditions.AGPase and GBSS enzyme activities were reduced by 7.14% and 19.05%, 40.69% and 10.34%, respectively, and the rate of starch accumulation was also significantly reduced after high-temperature treatment T1 compared to T2 and T3. The average accumulation rates in different environments: high temperature > drought stress > water stress.