bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Marketing Management Innovation and Planning Methods under Deep Learning Framework
Authors: Wu Deheng 
Published: December 2024

Abstract
In the context of big data, with the increasingly fierce competition in the enterprise market, many enterprises must do a good job of marketing management innovation and planning method research in order to survive so as to improve the level of enterprise marketing and management. In this paper, the precision marketing system is designed in detail from the perspective of big data, based on the overall system of precision marketing management. The experiment in this paper selects Company A as the research object, analyzes the data using the K-means clustering method, and constructs the user portrait. In this study, the users of Company A are categorized into interactive users, target users, exploratory users, and acquisition users. After applying the precision marketing strategy proposed in this paper, the sales share of all four types of interactive users, targeted users, exploratory users, and acquisitive users has improved. For example, the sales share of targeted users in the Asia region has improved by 3.43%.
Research on Optimized Allocation Model of Educational Resources in Colleges and Universities Based on Big Data
Authors: Xu Yiran 
Published: December 2024

Abstract
The characteristics of educational information, such as quantization, decentralization, redundancy and unstructuredness, bring complex and multi-level problems to the construction of high-quality educational resources in colleges and universities. The study constructs a model for the optimal allocation of educational resources in colleges and universities using a collaborative filtering algorithm. Taking big data as the background, the existing educational resources allocation ratio of colleges and universities is analyzed, and the current demand for resources in colleges and universities is predicted through the cosine similarity algorithm and the Pearson similarity algorithm, and the recommended resource items are derived and recommended. The study takes the university district of city Z as an example and uses the model in this paper to optimize the allocation of teaching and auxiliary room area, sports hall area, number of books, number of computers, and value of teaching instruments and equipment. After using the optimal allocation model to optimize the educational resources of colleges and universities, the pass rate of students’ exams increased to more than 70%, and the students were more satisfied with the subjective evaluation of the model. This paper’s model plays a significant role in the optimal allocation of educational resources, and colleges and universities can effectively utilize and reference it.
A study of positional flexibility and versatility training in football players
Authors: Zheng Yang 
Published: December 2024

Abstract
How to correctly conduct multifunctional training according to the individual position of soccer players will enable the players to better perform their ability level. The article utilizes the CCA algorithm to conduct correlation analysis of the competitive abilities of soccer players in different positions, obtaining a correlation between the competitive abilities of soccer players. Through correlation analysis of the athletic abilities of soccer players in different positions, a training strategy is proposed that matches the corresponding abilities. Through empirical research, the article concludes that in the correlation analysis of the competitive ability of soccer players in the striker position, the correlation coefficient of X1 and Y1 is 0.905, which means that there is a close correlation between shooting power and short passes.
Research on the Synergistic Development Mechanism of Rural Tourism and Leisure Agriculture--Based on the Perspective of Industry Chain Integration
Authors: Yan Yuxia 
Published: December 2024

Abstract
Rural tourism and leisure agriculture play an increasingly important role in rural economic development and have become an important engine for promoting the optimization and upgrading of industrial structures, realizing rural revitalization, and building beautiful countryside. This study constructs an evaluation index system from the perspective of industry chain integration and development, with reference to the content, characteristics, and coupling mechanisms of rural tourism development. Based on the entropy weight-TOPSIS method to establish the coupling coordination degree model, X province was selected as the research object, and its coupling relevance, coupling coordination degree and evaluation indexes were analyzed to provide a reference for realizing the high-quality development of leisure agriculture and rural tourism in the region. The results indicate that leisure agriculture and tourism in Province X experienced an overall upward trend in 2017 and 2018, with leisure agriculture developing slightly faster than tourism. Meanwhile, the coupling degree of leisure agriculture and rural tourism in Province X has always been maintained at a high level, and the values of the coupling degree from 2014 to 2022 are all above 0.900. Finally, by constructing the influencing factor indicators of the coupling coordination degree and using the gray correlation method for empirical analysis, it is found that, among the influencing factors, policy support>market demand>technical level>infrastructure, these four aspects have a positive role in promoting the development of the integration of agriculture and tourism.
Study on the Decorative Art of Ancient Theatre Stage in East Coast of Zhejiang, China under the Analysis of Big Data
Authors: Xue Lingya , He Caikao 
Published: December 2024

Abstract
This paper tries to extract the architectural decorative features of ancient theatre from the three levels of architectural form, architectural appearance and architectural structure. Combined with the historical status of the ancient theatre as well as its developmental lineage, the programmed and ceremonial nature of the theatre is taken as the main component influencing the decorative style of the ancient theatre. The decorative art of the ancient opera stage in the coastal area of East Zhejiang is comprehensively analysed in terms of motifs (construction decoration, carving decoration, painting decoration), graphics (tattoo symbols), and colours (traditional colours), respectively. Based on the development of opera in the Ming and Qing Dynasties, focusing on the Ming and Qing Dynasties, the structural changes of some of the opera stages in the coastal area of East Zhejiang during the Ming and Qing Dynasties are recorded and compiled. The craft techniques, application embodiment, humanistic connotations, and current problems of ancient stage decoration techniques are being analyzed. The modern development of the decorative art of ancient theatre is analyzed in relation to the interviewees’ concern for the decorative art of ancient theatre. The decorative art of ancient times was the overall expression of patterns, graphics, and colors. The ancient stage in the coastal area of East Zhejiang is decorated with five types of patterns: animal and bird patterns, human and god patterns, flower and grass patterns, geometric patterns, text patterns, as well as a combination of various patterns, and the colours are often embodied in the whole (monochrome) and part (coloured), showing the effect of the simplicity of the overall situation and the details.
Exploration of the integration and development of music education and national music culture in colleges and universities
Authors: Han Lintong , Wang Pengjia 
Published: December 2024

Abstract
Introducing ethnic music culture in college music education and realising the integration and development of the two are of great significance to both enriching music education in colleges and universities and realising the inheritance of ethnic music culture. In this paper, the RBF algorithm is simplified and designed, on the basis of which an ethnic music education system is proposed to achieve the integrated development of college music education and ethnic music culture. The experiment shows that the excellent rate of the two experimental groups in the dimension of ethnic music rhythm mastery increases by 8% and 12%, and the good rate increases by 16% and 14%, and the experimental groups also show better teaching effects in other dimensions. In addition, the experimental group students’ ethnic music cultural literacy has significantly improved, and their preference for ethnic music culture is higher than that of the control group. It can be seen that this paper proposes an effective ethnic music education system through the simplified design of the RBF algorithm, which is useful for realising the integration and development of music education and ethnic music culture.
Research on the Innovative Development Path of Physical Training in College Athletics in the Internet Era
Authors: Wei Zuotao 
Published: December 2024

Abstract
Athletics, as a competitive sport, puts high demands on athletes’ physical development. Physical fitness, as an important part of the athletic ability of track and field athletes, will directly affect their competitive level. To address this issue, this paper introduces wearable devices into the physical training of college track and field sports and provides users with a reasonable sports training program through real-time analysis of the collected training data of athletes. Taking H college track and field athletes as comparative experimental objects, we explore the innovative effect of college track and field sports physical training and combine the clustering algorithm and Apriori algorithm to deeply mine the college track and field sports physical training data rules. The results show that track-and-field physical training with wearable devices improves cardiorespiratory endurance better than traditional physical training (p<0.05), and track-and-field physical training with wearable devices significantly improves and enhances FMS tests. Furthermore, the association rules reveal that higher physical fitness in college athletics correlates with improved FMS test results. We can categorize users into three types of athletic groups and develop tailored physical training methods for each group.
Mechanism of “Industry-Teaching Integration and Collaborative Education” in Applied Colleges and Universities under Digitalization Environment
Authors: Feng Pengyu , Zhang Hainan 
Published: December 2024

Abstract
The impact of the digital environment on the “industry-teaching integration and collaborative education” of colleges and universities is increasing day by day, and the optimization and improvement of the related working mechanisms in applied colleges and universities is urgent. The study uses the triple helix model to discuss how “industry-teaching integration and collaborative education” work in digitalized applied colleges and universities. It also builds a model of “industry-teaching integration and collaborative education” using PLS-SEM and tests it using AMOS software. AMOS software was used to empirically test the model. It was discovered that the five factors—incentive mechanism, leadership mechanism, constraint mechanism, communication mechanism, and guarantee mechanism—have various levels of positive and significant impacts on the process of “industry-teaching integration and collaborative education” in universities (P<0.05). Based on this, it is suggested that applied colleges and universities should focus on improving the four mechanisms of scientific and technological achievements sharing mechanism, digital infrastructure guarantee mechanism, practice platform operation mechanism, and digital teaching management mechanism so as to ensure the high-quality cultivation of digital applied talents.
Data-driven optimisation of leadership models during enterprise digital transformation
Authors: Guo Yuntao 
Published: December 2024

Abstract
With the tightening of resource and environmental constraints and the normalization of enterprise transformation, enterprises are increasingly faced with the challenge of coping with unpredictable risks. As a core component of these enterprises, middle management plays a significant role in the success or failure of enterprise crisis management. This paper primarily focuses on the middle management of the enterprise, constructing a five-dimensional model of leadership and applying mathematical modeling through word frequency analysis. It also constructs a leadership evaluation index system through quantitative analysis, which it then combines with the hierarchical analysis method to comprehensively evaluate the leadership level of middle-level administrators. The results of factor analysis show that the predicted internal consistency reliability value and the total scale retest reliability value are over 0.85; the absolute fitness and factor loadings meet the statistical standards, and the constructed leadership model passes the test. In addition, the weights of foresight, decisiveness, planning ability, communication ability, goal management, competitiveness, and challenging the status quo are all greater than 0.7. The optimization of the leadership model can be carried out from the aspects of constructing the talent database of middle managers, strengthening the leadership training of middle managers, and building the mechanism of management culture.
Microstructural characterisation of magnesium alloy materials and its effect on macroscopic properties
Authors: Wang Yanli , Jiang Jianjun 
Published: December 2024

Abstract
Magnesium alloys are promising for use in many structures due to their low density, high specific strength, and specific stiffness. This study analyzes the microstructure of magnesium alloy materials and uses X-ray inspection to explore the characteristic situations of sparse and segregation defects in magnesium alloys. Combining the finite element method, Taylor strain gradient plasticity theory, the Eshelby equivalent inclusion model, and other fine mechanical simulation methods, finite element simulation and experimental analysis of magnesium alloys containing loose and segregation defects are carried out to systematically analyze the influence of defects on the macroscopic mechanical properties of magnesium alloys. The results show that a small number of defects in magnesium alloy materials have little effect on their mechanical properties, both at room temperature and high temperature. The tensile strength, yield strength, modulus of elasticity, and elongation decreased significantly with the increase in the grade of sparsity and segregation defects. It’s worth noting that the elongation of segregation grade 1 specimens increases slightly, with an increase of 0.64% and 0.35% at room temperature and high temperature, respectively. There is a certain negative relationship between the defect grade of magnesium alloy materials and their macroscopic mechanical properties.
The effect of Boolean logic optimisation of music teaching content on teaching effectiveness
Authors: Zhao Chunxiao 
Published: December 2024

Abstract
There is a vast array of music teaching resources on the Internet, and how to effectively access them through search engines requires some effective search methods. This article focuses on the impact of Boolean logic optimization on the effectiveness of music teaching. The article first discusses the Boolean model under the information retrieval model and discusses the specific operations of Boolean logic in detail. It then further optimizes and improves the traditional Boolean logic binary tree algorithm. The article finally tests the search rate and accuracy of the Boolean logic optimisation model proposed in this paper and validates the effect of the Boolean logic optimisation model proposed in this paper in music teaching by taking the students of a school as the empirical research object. After optimising the Boolean logic of music teaching content, in the analysis of the aesthetic perception dimension, about 95% of the students thought that they had been able to feel the emotions expressed by the author through feeling the music and also agreed that the use of the Boolean logic model in music class had the effect of improving music literacy. Thus, the Boolean logic optimisation method proposed in this paper has a positive effect on music teaching.
Research on Higher Vocational Faculty Building and Development Strategies Empowered by Digital Technology
Authors: Jia Bin 
Published: December 2024

Abstract
Higher vocational faculty construction is an important means for higher vocational colleges and universities to enhance their influence and innovate talent cultivation methods. This paper applies digital technology to the process of higher vocational teacher construction, innovates the path of higher vocational teacher team construction, and optimises the strategy of higher vocational teacher construction based on the three-pendulum coupling model. The evaluation index system for higher vocational teacher construction is constructed using hierarchical analysis, and each index in the system is empowered using the eigenvector method. Collect data on teacher construction in higher vocational colleges through questionnaire surveys and analyze the effects of teacher construction in higher vocational colleges through the weight calculation and consistency test of the evaluation system. Based on student satisfaction, we explore the effect of higher vocational teacher construction empowered by digital technology in this paper and use the resultant data to demonstrate the effectiveness and scientificity of the strategy in this paper. Teacher recruitment has the highest weight of 0.256, which has a significant impact on the building of higher vocational faculty. Students’ satisfaction with lecturers and professional competence in relation to higher vocational faculty buildings is above 80%, which fully demonstrates the positive effects of higher vocational faculty buildings based on the strategy discussed in this paper.
Identifying and Guiding Students’ Behavioural Patterns in the Perspective of Online Civic Education Based on Big Data
Authors: Gao Feng 
Published: December 2024

Abstract
In online Civic and Political Education classroom teaching activities, students as the main body of learning activities, and their classroom behaviour is a direct reflection of the teaching effect. In this paper, we take the teaching video of the online Civic and Political Education course as the data source, annotate and preprocess the students’ classroom behaviour data, and enhance the classroom behaviour data through spatial coordinate transformation and grey scale interpolation. The traditional posture recognition backbone network is improved by a joint linear inverse residual structure and lightweight attention model, and the OpenPose algorithm is combined to extract the skeletal key point information of students’ classroom learning behaviours. The YOLOv5 network is then used as the backbone network, and a feature pyramid is introduced to deliver the image semantic information from top to bottom, and a path aggregation network are combined to deliver the localisation information from bottom to top to achieve feature fusion at different levels. Finally, the hybrid attention mechanism is combined to further enhance the feature extraction and recognition of students’ classroom behavior. The average accuracy of the OpenPose algorithm in locating skeletal key points for different types of classroom behaviors is 98.03%, which is 13.84% higher than that of the AlphaPose algorithm. The average accuracy of the YOLOv5-MA model in recognizing students’ classroom behaviors is 5.28 percentage points higher than that of the CNN-LSTM model. The model is 5.28 percentage points higher, the learning motivation of 60-120 seconds students has increased, and their positive behavior rate is between 75% and 85%. Online Civic Education needs to focus on students’ positive classroom behavior in order to better provide for the enhancement of students’ ideological literacy level.
Design and Optimisation of Red Cultural Ceramic Landscape Immersive Experience Space Based on Augmented Reality Technology
Authors: Lu Xuan , Fang Yu 
Published: December 2024

Abstract
Artistic design using emerging technologies provides new carriers and inspiration for the Red Culture ceramic exhibition and innovates the aesthetic and technical aspects of artistic creation. This paper primarily utilizes augmented reality technology to enhance the spatial design of Red Culture ceramic exhibitions, thereby optimizing the immersive experience. Multimodal interaction is proposed, and finger recognition based on skin color segmentation is mainly analyzed. Creating a multi-sensory interactive space, combined with the principle of holographic imaging and designing a depth-of-field viewing area AR display method based on holographic optical elements, emphasizes the multi-viewpoint depth of field. Closely follow the red culture and use the ceramic landscape to convey the essence of red culture. Set the SLM and HOE parameters and simulate the experiment to analyze the normalized light intensity distribution and focus coordinates of the multi-viewpoint. Conduct user evaluation research to analyze the advantages and shortcomings of the digital exhibition of the ceramic landscape of red culture. The order of the dimensional ratings for the ceramic landscape digital exhibition is: cultural experience (91.52) > emotional experience (84) > functional experience (80.39) > interactive experience (79.95) > aesthetic experience (77.22). The ceramic exhibition using augmented reality technology can meet the cultural and emotional needs of visitors, and the AR function, as well as the interactive experience, meet the design requirements.
Ethical Risks and Legal Compliance of Big Data Analytics Technology in Medical Privacy Protection
Authors: Ma Yulian , Liu Chang 
Published: December 2024

Abstract
While big data analytics technology plays an important role in medical privacy protection, ethical risks and legal compliance issues are becoming more prominent. The study applies logistic regression models to analyse the ethical risk factors affecting medical privacy leakage. A hierarchical linear model is then applied to explore the impact of different legal factors on medical data compliance. Logistic regression analysis shows that corporate credibility, the ethical status of research units, institutional factors, and financial factors have a greater impact on the status of ethical risky behaviors. Hierarchical regression analyses show that different legal factors have different impacts on medical data compliance. Accordingly, this paper proposes countermeasures to avoid ethical risks. The paper suggests that ethical risk avoidance should start from four aspects: laws and regulations, industry self-regulation, technological innovation, and citizen quality. To enhance legal compliance, we should adhere to the four principles of principle, standardization, policy, and local legislation first.