bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial Intelligence Technology Facilitates Model Innovation in Higher Education Management and Student Training Mechanisms
Authors: Liu Dangying 
Published: May 2024

Abstract
In order to promote the model innovation of higher education management and student training mechanisms, this paper proposes data mining technology to assist the research of education management and training mechanisms. Using web crawler technology to obtain the required initial data for the study, data cleaning and conversion are carried out to ensure the accuracy of the results of the research and analysis in response to the problems of missing data, intermingled noise, and attribute redundancy in the initial data. Aiming at the slow efficiency and collapse of the traditional association rule algorithm in the face of massive data, the whale optimization algorithm is used to optimize the association rule algorithm for multi-objective optimization, and the optimized association rule algorithm is used to analyze the data of higher education management. The data showed that the Confidence=77.82% for the association rule poor grades in introductory courses=>poor grades in major courses, which indicates that the probability of students whose average grades in introductory courses are outside the 75th percentile and those whose average grades in significant classes are outside the 60.00th percentile is 77.82%. This study aids teachers and administrators in making scientific decisions to enhance teaching management, enhance teaching quality, and reduce costs associated with school operations.
Dynamic Object Detection and Tracking in Vision SLAM
Authors: Liu Heng , Niu Lele , Deng Yufan 
Published: May 2024

Abstract
Addressing the trade-off between operational efficiency and localization accuracy in visual SLAM, this paper introduces a monocular visual-inertial SLAM algorithm that integrates point and line features. To construct the point-line reprojection error and optimize the observation volume in front-end vision initialization, the motion recovery structure method (SFM) is employed through 3D reconstruction with a sliding window. The marginalization method uses the removed keyframe information as a priori constraint for nonlinear optimization in the back-end. In addition, the loopback detection algorithm is optimized in combination with the bag-of-words model and four-degree-of-freedom global bitmap to improve the accuracy of dynamic object detection, and the performance of the algorithm is tested. The results show that in the case of no closed loop, the absolute root mean square error of the algorithm proposed in this paper is lower than that of VINS-Mono (0.0625), PL-VIO (0.0401), and PL-VINS (0.0554) for the majority of sequences. In the case of closed loops, the absolute root mean square error of the proposed algorithm in this paper is reduced by 0.0395 and 0.0139 on average over most sequences compared to VINS-Mono and PL-VINS. The proposed algorithm in this paper demonstrates higher accuracy and robustness for improved detection and tracking of dynamic objects.
Analysis of School-Enterprise Cooperation Talent Cultivation Mode and Its Problems in Agricultural Colleges and Universities Involving Agriculture in the Era of Melting Media
Authors: Qu Yanpeng , Li Heng 
Published: May 2024

Abstract
School-enterprise cooperation and innovation is an essential support for the implementation of an innovation-driven development strategy. This study examines the stages of school-enterprise cooperation and innovation, underpinned by integrated media, through the lens of deep coupling theory. It categorizes the process into pre-, mid-, and post-stages. The pre-stage involves analyzing university agricultural programs to develop a credit network database identifying optimal school-enterprise pairings. The mid-stage focuses on enhancing knowledge exchange mechanisms to tightly integrate participating entities. The post-stage assesses the impact of these integrations, revealing a coordination degree of 0.416 among agricultural majors, suggesting that effective interaction mechanisms are yet to be established, occasionally leading to mutual constraints. This research informs strategies to foster robust school-enterprise collaborations in agricultural education.
Construction of a Questionnaire System for College Students’ Consumption Views Based on Discrete Regression Algorithm in the Context of Ideological and Political Education
Authors: Su Dongmin , Li Yangfan 
Published: May 2024

Abstract
This paper constructs a questionnaire system for college students’ consumption views based on the discrete regression algorithm combined with the questionnaire method. The least squares staggered identification method is employed in the discrete regression algorithm to select the window width and reduce the integral square error of the estimation. On the basis of continuous and discrete data, the density function and regression function are estimated, and the parametric and nonparametric estimation methods are utilized to select the optimal smoothing parameters of the regression function by the method of least squares interleaved identification. In the survey of college students’ consumption outlook, the consumption outlook of college students in colleges and universities in the S province region is taken as the research object. In the questionnaire analysis, it is known that the first factor considered by college students is the sustainable use of products. The mean value of the sustainability dimension is 4.86, and the last factor considered is the ostentatiousness and extravagance of the consumption products, and the mean values are 2.65 and 2.71, respectively. Each basic situation of the college students and the social, family, personal, and influencing factors have a significant predictive effect on each dimension of the college students’ consumption outlook status.
Mechanism of grain refinement in FSW joints of 6063-T6 aluminum alloy under different rotational speeds
Authors: Sun Xuejiao , Ji Liangbo 
Published: May 2024

Abstract
The inherent properties of aluminum alloys often result in defects like deformation and porosity in joints and welds created through conventional fusion welding. Our paper investigates the impact of varying rotational speeds in the friction stir welding of 4mm thick 6063-T6 aluminum alloy, focusing on microscopic grain refinement and mechanical property alterations in T-joints. Using mechanical stretching and numerical simulation methods, we observed that the initial weld joint is robust, with minimal flying edges and a distinct fish-scale pattern on the surface. Moreover, the grain sizes in the weld’s core area are notably smaller than those in the region affected by the upper axial shoulder. The mechanical properties of the joint experienced a first increase and then a decrease in mechanical properties when the friction stir welding rotational speed, was increased from 600r/min to 1500r/min. Moreover, in 1000r/min rotational speed, the material welded tensile strength and yield strength of the best tensile strength compared to the raw material to enhance the 21MPa, yield strength of 30MPa, elongation close to the raw material of 89.86%.
The Impact of International Trade Development on China’s Free Trade and the Value of the Agricultural Industry Chain
Authors: Yin Zhiwei 
Published: May 2024

Abstract
The development of international trade is both a challenge and an opportunity for China’s free trade and agricultural industry chain. Linear regression modeling is employed in this paper to examine how international trade development affects the value of China’s free trade and agricultural industry chain. The variables in the linear regression model are set, and the correlation coefficient is calculated to obtain the correlation coefficient between them. This basis is used to test the regression coefficients for significance and multicollinearity using the least squares method. The data show that the difference between the minimum value and the mean value of the free trade economy index is significant, about 0.3-0.6, while the difference between the maximum value and the mean value is slight, about 0.1-0.4, which indicates that the free trade economy of the provinces with poor free trade economy in China is much lower than the average free trade economy level in China. The degree of international trade development shows the most apparent upward fluctuation from the five quantile regressions of 0.2, 0.4, 0.6, 0.8, and 1.0, gradually increasing from a regression coefficient of 0.2428 to 1.149, which suggests that the international trade development has a significant positive effect on the change of the positional situation of the value chain of the agricultural industry. This study not only enriches the connotation of the theory of free trade and the agricultural industry chain in China but also provides reference and information for enhancing the resilience and sustainability of the development of the agricultural industry.
Analysis of Diversification of Intelligent Teaching in English Literacy Integrated Classroom Empowered by Artificial Intelligence Technology in Colleges and Universities
Authors: Yuan Chunhui , Zhang Xiaoli 
Published: May 2024

Abstract
In recent years, an increasing number of English teachers have recognized the importance of reading and writing skills. Traditional English teaching methods often overlook the essential link between these skills, which hinders the improvement of students’ overall English proficiency. This paper introduces an adaptive Huber growth curve model to represent cognitive abilities in English reading. It develops an English reading ability detection model using a function-based approach. The model involves word feature extraction, fine-grained learning, and establishing information channels. These processes collectively contribute to a sequence annotation model that not only identifies but also automatically corrects errors in English writing samples. This facilitates integrated intelligent teaching of reading and writing skills. Analysis of English reading and writing capabilities among students at various colleges and universities reveals that the most notable improvement is in students’ critical thinking abilities during English reading, with most scores ranging between 3.5 and 4 and a total of 52 students participating. The difference in writing scores of the subject classes was 1.4186, of which the T value was 3.7855, the DF value was 112.3, and the P value was 0.000, which was significant, and the magnitude of the English writing scores of the subject class A was greater than that of the class B, which indicated that the integration of literacy and writing effectively improved the overall writing skills of the students.
A Study on the Development Trend and Mechanism Perfection of Cultural Industry in Western China Based on Variable Model
Authors: Luo Jing , Su Jiafu , Aumeboonsuke Vesarach , Yu Xin , Li Yuan 
Published: May 2024

Abstract
As an emerging industry with high growth, the cultural industry plays an increasingly prominent role in boosting national economic construction and enriching people’s lives. This paper utilizes the relevant statistical data of the culture industry in 2022, selects the indicators of input-output variables, and adopts the three-stage DEA method to measure the efficiency level of the culture industry in Western China and explore the development trend of the culture industry in western China after eliminating the influence of external environment and random variables on the analysis results. In addition, the level of cultural industry efficiency in West China is taken as an explanatory variable. Relevant explanatory variables are selected to derive the influence of each variable on cultural industry efficiency by the partial least squares method, and regional heterogeneity is detected. The overall cultural industry efficiency in the western region is low; more than 30% of the inputs do not create value, and 50% of the provinces and municipalities have a low level of cultural industry operation and management and low development of industry scale. Except for Chongqing and Shaanxi, all other provinces and cities are in the stage of increasing returns to scale. The selected explanatory variables all positively contribute to the comprehensive technical efficiency of the cultural industry, with the most significant effect of the urbanization level, with a regression effect of 0.387. Focusing on improving the operation and management levels and the scale of the cultural industry is the key to enhancing the efficiency of the overall cultural industry in the West.
Innovative Application of Modularized Virtual Interaction Design Technology in Clothing Design
Authors: Sun Ning , Sun Tao , Cao Botao , Mu Xichan 
Published: May 2024

Abstract
CAD-based clothing design is known for its ease and flexibility, yet it often lacks intuitiveness and requires extensive experience for successful garment creation. To address these limitations, this paper presents a novel modular virtual interactive clothing design system using OpenGL and 3D modeling technologies. This system employs virtual reality to enable three-dimensional interactions, creating 3D garments that are then mapped onto a 2D plane for further evaluation. The evaluation module assesses the garment’s balance, line coherence, looseness, and wrinkle aesthetics to finalize the design. The research demonstrates that design discrepancies are kept below 1% in this virtual setting. The system’s modular nature also ensures satisfactory garment fit and appearance, underscoring its practical significance and potential impact.
Exploration of Cultural Change of Film and Television Art Media Formation and Digital Cultivation Path of Media Talents
Authors: Wang Yi 
Published: May 2024

Abstract
The ongoing evolution of digital technology significantly transforms the format of film and television media, simultaneously diversifying the training modes and requirements for media professionals. In this paper, the comprehensive characteristics of film and television art media are analyzed, and specific manifestations of cultural change in the form of film and television art media are identified. At the same time, combined with the cultural change manifestations, it helps media talents to find their role positioning, clarifies the digital literacy structure of media talents, and establishes a double-loop digital cultivation model of the connotation and form change of film and television art media. To further explore the digital cultivation of media talents, a quantitative analysis of data was conducted on the market development trend and the cultivation of media talents. It was found that the overall market demand for media talents increased by 65.67% between 2015 and 2023, but the employment rate of media talents decreased by 3.85 percentage points between 2016 and 2020. The χ2 -test value of digital training of media talents is 26.317, which has a very significant difference at the 1% level. The digital cultivation mode of media talents based on digital technology can effectively enhance the satisfaction of media talents, better meet the demand for talents in the film and television art media market, and help the media industry develop with high quality.
Research on the Innovation of Smart Teaching Mode of University Physical Education Driven by Digital Technology
Authors: Cao Li , Cui Pengtao 
Published: May 2024

Abstract
Physical education teaching mode is the link between physical education teaching theory and physical education teaching practice, which has a direct impact on the quality and teaching effect of physical education teaching. In this paper, the recognition algorithm is applied to physical education, and a graph-convolutional neural network is constructed. In order to solve the problem that a graph convolutional neural network can only deal with non-motion graphs, using the Masked Attention mechanism, assigning different weights to neighboring nodes, extracting node features and features between neighboring nodes, thus the graph attention neural network, and introducing the YOLO model to predict the single and multiple postures and correct the students’ technical movements. Through the comparative experimental study in this paper, it was found that the p-values of the four dimensions of students’ attention to athletics, adverse interest in athletics learning, positive interest in athletics learning, and daily athletics exercise were all 0.000<0.05. In the two dimensions of positive interest in athletic learning and daily athletic exercise, the mean values of the students in the experimental group reached 29.11 and 32.89, respectively. In terms of comparing the results of the students in the two groups, the 50-meter Run p=0.021<0.05, Vertical Long Jump p=0.002<0.05, Seated Body Flexion and Sit-ups for girls p=0.000<0.05. Therefore, the data-intelligent physical education teaching model constructed in this paper can increase the degree of students’ interest in physical education, improve students’ participation in physical education classrooms, and optimize students’ physical education achievement and performance.
Exploring the Practice of Enterprise education in Higher education institutions in Information Age
Authors: Zhai Wenqiu 
Published: May 2024

Abstract
With the advent of information technology, higher education institutions are urged to elevate the role of enterprise education. This includes a focus on the strategic use of information technology and the platforms that support IT practices, alongside refining the educational and assessment frameworks for enterprise studies. This paper advances enterprise education in higher education institutions by leveraging information technology to enhance the evaluation framework for entrepreneurship and innovation skills. We construct an enterprise education assessment index system and optimize the BP neural network with the ABC algorithm. Additionally, empirical quantitative research utilizing the ABC-BP model explores the effects of enterprise instruction and execution in these institutions. The results of the quantitative analysis show that overall, creativity and enterprise environment are the main factors affecting the implementation of creativity and enterprise (weight 0.722), and there is also a significant correlation between the three aspects of creativity and enterprise awareness (0.134), practice (0.111), and ability. In the percentage of each type of option in the statistics of the effect of the implementation of enterprise education in University X, the percentages of “agree with The total proportion of “agree” and “somewhat agree” is more than half of 70%, indicating that the main body of the survey is more satisfied with the current implementation effect of enterprise education in University X. The effect of the implementation of the University of X is influenced by the degree of knowledge (0.475), the degree of recognition (0.234), etc. which is significant in general. In conclusion, the assessment system for enterprise education in this paper can improve the degree of automation and the teaching effect of creativity and enterprise.
The Construction of Physical instruction Teaching Reform and Innovation Guarantee System in the Information Age
Authors: Dong Bo 
Published: May 2024

Abstract
Enhancing the technical methods of teaching physical instruction in the information age and building an ideal guarantee system for teaching physical instruction reform and innovation are essential components of higher education development. The construction path of the physical literacy teaching reform guarantee system is presented in this paper, along with the development of an evaluation model for the effects of physical instruction reform teaching. This model serves as the basis for evaluating the impact following the implementation of the physical instruction teaching reform. The assessment model relies on the hierarchy analysis approach, which also establishes the second-level fuzzy complete judgment matrix, creates the rubric set for the assessment of the teaching reform effect, and demonstrates the weight value of each indicator in the evaluation model. With respect to the research object in the case analysis of the CA University physical instruction teaching reformation effect, the evaluation’s overall rating is 0.693, and it receives a “good” grade. The 50-meter run, seated forward bending test, and BMI endurance test items showed significant differences (P<0.05). Significant differences (P<0.05) were also presented in the dimensions of athletic ability, athletic participation, athletic awareness, athletic character, and learning interest in physical instruction learning outcomes, except for the dimension of athletic participation interest.
Constructing a Multimodal Music Teaching Model in College by Integrating Emotions
Authors: Song Jia 
Published: May 2024

Abstract
In this study, we enhanced the CaffeNet network for recognizing students’ facial expressions in a music classroom and extracted emotional features from their expressions. Additionally, students’ speech signals were processed through filters to identify emotional characteristics. Using the LRLR fusion strategy, these expression and speech-based emotional features were combined to derive multimodal fusion emotion results. Subsequently, a music teaching model incorporating this multimodal emotion recognition was developed. Our analysis indicates a mere 6.03% discrepancy between the model’s emotion recognition results and manual emotional assessments, underscoring its effectiveness. Implementation of this model in a music teaching context led to a noticeable increase in positive emotional responses—happy and surprised emotions peaked at 30.04% and 27.36%, respectively, during the fourth week. Furthermore, 70% of students displayed a positive learning status, demonstrating a significant boost in engagement and motivation for music learning. This approach markedly enhances student interest in learning and provides a solid basis for improving educational outcomes in music classes.
Exploration of Talent Cultivation Strategies for Higher Vocational Industry-Teaching Integration under the Orientation of Career Trajectory Portrait
Authors: Fan Junyan 
Published: May 2024

Abstract
The fusion of industry and education plays a pivotal role in optimizing talent training structures, facilitating the conversion of scientific and technological achievements, and driving the upgrade and high-quality growth of the economy. This study applies a clustering algorithm, a form of data mining, to categorize students based on personality traits, learning capabilities, and career preferences. This categorization aids vocational institutions in selecting suitable corporate partners for training programs. Furthermore, we introduce a collaborative filtering algorithm to establish a bipartite graph that matches the attributes of students and companies. This approach enhances the practical skills of students and supports the strategic integration of industry and education in talent development. After the experimental research, it was found that after the implementation of the senior industry-teaching integration talent cultivation measurement rate, the average score of the higher vocational education improvement status is 4.20, the average score of the industry’s satisfaction with the higher vocational is 3.35, and the average score of the higher vocational talent cultivation characteristics is 4.41, which indicates that the industry-teaching integration education model constructed in this paper can effectively promote the formation of the characteristics of the higher vocational schooling and talent cultivation. By integrating industry teaching, this paper’s parenting model can help change the vocational faculty structure and improve student employment rates.