bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Exhibition Marketing Strategies in the Context of Network Era
Authors: Qian Ruo 
Published: January 2024

Abstract
In the network era, consumers’ behavior of shopping through the Internet can be seen everywhere in daily life. In this paper, starting from consumers’ online shopping behavior preference, the equilibrium mode of conventional advertising is studied, based on which the mass and targeted advertising strategies under decentralized and centralized decision-making modes are proposed, respectively. After comparing and studying the marketing channel structure in various modes, the corresponding advertising optimization model was established to derive four theorems. According to the deduced theorems, the enterprise revenue model is constructed and solved to maximize the benefits. Compare the mixed and separated equilibrium models of the two-stage model in the sales process, and at the same time, construct the XGBoost algorithm model to classify the characteristics of consumers’ shopping behaviors and collect the enterprise’s product marketing strategies. The results of the empirical experiments show that the reasons why consumers do not buy the exhibits of Company W are mainly due to “the price is too high”, “the sense of participation is insufficient” and “the attraction is too low”, with the values of 2.5, 2.5, 2.5, 2.5 and 2.5 respectively. The number of consumers who are satisfied and very satisfied with W brand exhibitions is the largest, and the number of people in all four aspects is around 50, so the marketing strategy of W company exhibitions adjusted according to consumer behavioral preferences is effective.
A Study on Macro Measurement Methods and Volatility Characteristics of Interest Rate Risk of Commercial Banks under the New LPR Mechanism
Authors: Wang Lingling , Shang Keru , Wang Xiaoyu 
Published: January 2024

Abstract
The interest rate risk of commercial banks is closely related to the effectiveness of the LPR mechanism. In this paper, the interest rate market is divided into three stages according to the process of interest rate marketization, and a six-sector New Keynesian MS-DSGE model is constructed by adding monetary regulation variables. The parameters in the model that are influenced by interest rate marketization and the new LPR mechanism are transformed by Markov zone transformation. The interest rate risk of commercial banks is measured by the impulse response functions of uncertain interest rate shocks to the interest rate sensitivity gap and the duration gap, and the volatility characteristics of interest rate risk in different stages of interest rate marketization are compared and analyzed. The results show that in the third stage (2019-present), the LPR mechanism is transformed from old to new. Under the δR
= 0.5 shock, the commercial lending interest rate tends to stabilize around 0.00038, and the borrowing interest rate tends to 0 in all 3 differentiated target parameters in the 10th period. For this reason, the differentiated interest rate pricing behaviors of commercial banks should be considered comprehensively, and the LPR target should be set reasonably so as to get the optimal policy effect.
Informatization of Physical Education Curriculum Education and Training Management in Colleges and Universities under the Maximum Information Entropy Model
Authors: Wang Wanli 
Published: January 2024

Abstract
Currently, there are problems such as weak training purpose, poor training effect and backward auxiliary decision-making means in college physical education. In this paper, we first construct a college sports training management decision-making system based on Multi-Agent and adopt the blackboard model to realize the communication between Agents. The training management decision-making agent system uses the maximum information entropy model to identify the benefits and drawbacks of executing college sports training management decisions. Secondly, feature selection is carried out through the correlation filter (CFS), and the best priority search method is used to obtain the required subset of features. Finally, the reliability of the college sports training management decision-making agent system was verified by testing experiments. The results show that the inter-rater of the system is 0.92<unk>0.95, and the intra-rater is 0.94, reflecting the good reliability and practicality of the training management decision-making Agent system. This study enhances the effectiveness of sports training management to some extent, and it also serves as a valuable reference for the development of similar systems.
The Practical Path of Ruling Colleges and Universities According to Law in the New Era Combined with Big Data Analysis
Authors: Ma Yingjun 
Published: January 2024

Abstract
With the development of the information age, big data analysis has become the basis for social management and the development of new ideas for intelligent governance. In this paper, the governance process of colleges and universities is presented and stored in the form of data by simulating the content of governance through the full domain data set, and the relationship between different subjects and object features is mapped through the generalized Cartesian product. From there, various data patterns are clustered to effectively manage various types of operations’ linkage. The multi-objective optimization algorithm is used to solve the Pareto optimal solution for different governance subjects, i.e., the mutual coordination between teachers and students. The objective optimization function is established to identify the Pareto frontiers of various governance programs and emergency plans. The results show that in the driving pathway of college big data governance, the correct rate of classification of policing grid governance events in 28 colleges and universities is 0.8279 on average, which effectively improves governance efficiency. Big data governance in colleges and universities enables college governance to continuously move from decentralized to centralized, from part to whole, and to achieve accurate and efficient governance modes.
Analysis of the timeliness of teaching methods of university education oriented to comprehensive development in student management
Authors: Xu Wenting 
Published: January 2024

Abstract
With the development of higher education, the number and scale of college students are expanding, and the new situation poses challenges to the management of college students. This paper proposes a comprehensive development evaluation model for college students based on combination assignments and conducts a consistency test for expert ranking using Spearman’s rank correlation coefficient. The indicators are scored using the fuzzy affiliation degree method to eliminate the influence of dimensionlessness and the positive and negative differences between indicators. The correlation coefficient of G1 is corrected by standard deviation to determine the optimal combination of weights for the objective function, and it is dynamically adjusted according to the changes of the data in practice to reflect the degree of deviation and the comparative difference of each single weight. Finally, School C was chosen as the research object to study the timeliness of the comprehensive development teaching model in student management. The results show that among the 650 students in School C, the highest score of student comprehensive development evaluation is 4.083±0.65, which indicates that the comprehensive development evaluation in School C possesses goals and needs with high recognition as the premise of implementation and has strong theoretical and practical significance for the comprehensive development of college students.
A Practical Study of Computer-Assisted College English Intelligent Teaching Course Based on OBE Theory
Authors: Chen Bimei 
Published: January 2024

Abstract
The development of wisdom teaching has brought great impact and examination to the traditional English education mode. Based on the educational platform of Rain Classroom, this paper constructs a university English wisdom teaching classroom, designs the teaching activities of wisdom teaching classroom, and constructs a diversified evaluation index system for wisdom teaching mode based on the OBE concept. The objective weights obtained by the entropy weight method, CRITIC method and coefficient of variation method are combined by linear weighting method to solve the comprehensive weights of each evaluation index. In order to verify the effectiveness of the relevant methods in this paper, the verification and analysis of the data were carried out with the actual situation of the students in the School of Foreign Languages of Zhuhai Institute of Science and Technology. The results show that the highest weights of teachers’ classroom teaching organization and students’ classroom communication and cooperation under the wisdom teaching mode are 0.3761 and 0.3649, respectively, and the correlation of each evaluation index exceeds 0.5, showing a strong correlation. The fuzzy comprehensive evaluation score of university English teaching quality in the School of Foreign Languages of Zhuhai College of Science and Technology is 75.975, indicating that the overall teaching quality of university English smart classrooms is good to excellent. The English smart teaching course helps cultivate students’ independent learning abilities and innovative thinking and promotes the deep integration of language proficiency and intercultural communication skills.
Innovative Research on Industrial Upgrading and Transformation Path of Regional Economy in the Perspective of Digital Economy
Authors: Ge Xuan 
Published: January 2024

Abstract
This paper utilizes the digital economy, regional spatial distribution digital mining technology, establishes the indicator system, assigns values to the indicators, and applies the indicator system to evaluate the development of industrial structure upgrading and transformation of the regional economy. According to the research results of the basic structure and algorithm of the self-organized neural network model, combined with the classification layer smoothing algorithm, the regional spatial clustering model is constructed. Using the constructed model, the regional economic spatial dynamic data is mined, and the path of industrial transformation and upgrading in the regional spatial area is dynamically studied. Furthermore, using the CA algorithm, the evolution law of land use structure in the region is predicted, and the development of the regional economy is inferred. At the same time, through the spatial autocorrelation regional prediction model, the relevant regional spatial expansion prediction method is proposed, the three research hypotheses of this paper are made, and the constructed model is utilized to innovate the exploration of industrial transformation and upgrading paths from the spatial dimension. Using empirical research methods, descriptive statistics, and mediating effect heterogeneity analysis are carried out to analyze the factors that influence regional economic variables in place A. The empirical analysis shows that the fluctuation range interval of industrial structure is between [0.811,10.2805], which brings a large positive impact on the regional economy.2017 national digital economic growth rate changed from -0.17446 to 0.17143 to realize a positive growth rate, and at the same time, there is a heterogeneity in the development of the east-west and central regions of A. The hypotheses presented in this paper are all valid.
Research on Talent Cultivation Mode of Vocational Education in the Context of Information Technology
Authors: Chen Xinrui 
Published: January 2024

Abstract
This paper mainly analyzes the educational level of vocational education in the context of information technology from the perspective of matching degrees of vocational education specialty settings and talent demand. Combined with the framework of vocational education service supply under information technology, the SARIMA-BP model is utilized to predict the demand for talent training, and then the match between the professional setting and the education level is explored in a quantitative description. The PSO algorithm is used to optimize the linear combination prediction model of the SARIMA-BP neural network, and the prediction accuracy is compared. The degree of vocational education development and talent cultivation mode are analyzed from four aspects. According to the division of secondary vocational school graduates according to the three industries, the proportion of graduates from Guangdong’s primary industry decreased by 0.1053, and the proportion of graduates from the secondary industry decreased by 0.0123. At the same time, the proportion of graduates from the tertiary industry increased by 0.0243. It can be seen that, to cope with the change of industrial structure in the context of information technology, secondary vocational education should adjust the relevant specialties offered to upgrade the industry’s development and the market’s need for the Talent cultivation mode.
A study on the construction of the ideological elements of public physical education courses in colleges and universities using multivariate data fusion
Authors: Chen Kai 
Published: January 2024

Abstract
Based on a multimodal topic network, this paper constructs a knowledge combination model for the cross-discipline of public sports and civic politics. Through multimodal data fusion, the knowledge combination between the two kinds of public sports courses and Civic and political education in colleges and universities is obtained. Finally, using the China Knowledge Network database as the source of data retrieval, the hot spots and their evolution paths of Civic Politics in public sports courses were explored so as to excavate the elements of Civic Politics in Civic Politics of Public Sports Courses. The results show that among the elements of ideology and politics in the curriculum, “patriotism education” has the greatest emergence intensity, with a value of 49.382, followed by “establishing moral character” with an emergence intensity of 16.338, which indicates that the main purpose of the construction of the elements of ideology and politics in the physical education curriculum is to cooperate with the orientation and requirements of ideological and political education, which is the most important part of the public sports curriculum. It shows that the main purpose of the construction of the ideological and political elements of the physical education curriculum is to match the orientation and requirements of ideological and political education and to clearly link the goal of one’s struggle with the destiny of the state and nation.
Innovative Practice of Physical Education Teaching Mode in Colleges and Universities in the Information Age
Authors: Zheng Zheng , Xia Qiudong , Yang Renwei 
Published: January 2024

Abstract
The information age needs to change the traditional physical education teaching mode, set up modern teaching concepts, and pay attention to the cultivation of strong physical talents. This paper combines the ADDIE model and MOOC education platform to construct a hybrid teaching model for college sports, and gives the teaching design of the three phases of college sports hybrid teaching before, during and after class. Based on the GCN model and the similarity between MOOC sports teaching resources, a sports teaching resource recommendation model based on link prediction was proposed. Relevant research subjects and questionnaires were selected, and a blended teaching experiment was designed. Empirical analysis was conducted using the method of comparison of teaching experiments. The results show that the NDCG metrics of sports teaching resources based on the GCN model improved by 0.99%, 1.30%, and 1.16% on average compared with the CF-User algorithm on the Gowalla, Yelp2018, and Amazon-Book datasets. After going through the sports blended teaching experiment, the students in the experimental group improved their average scores on exercise attitude by 1.5 to 5 points, and their interest in learning increased by about 1 point. The blended teaching mode of combining MOOC platform and college sports teaching in the information age has changed students’ learning attitude to a certain extent, which can effectively enhance the quality of college sports teaching and improve the cultivation of college talents’ physical quality.
Machine Learning Based Optical Separation of Overlapping Handprints
Authors: Li Tong 
Published: January 2024

Abstract
Since overlapping handprints often have the potential to become a breakthrough point in criminal cases, extracting and separating overlapping handprints at the scene has become an urgent problem to be solved in criminal technical examination. In this context, this paper proposes a machine learning-based optical separation method for overlapping handprints, which uses SVM to simplify the classification of the features of the training samples and completes the measurement of the features based on the statistical properties of the image grayscale histogram. Using image blind source separation, independent component analysis and pixel iteration algorithm to separate the overlapped image to get two different spatial resolution images, SSIM is chosen to evaluate the quality of the separated image. Then, the target classification recognition and extraction techniques of the method in the paper are analyzed by overlapping handprint optical separation experiments. The results show that compared with the traditional algorithms, the TPR, FPR, overlap degree and accuracy of this paper’s method in dealing with overlapping handprint images with deep fuzzy features are at a minimum of 0.9258, 0.3723, 0.4645, 0.9572, which are all greater than several other algorithms, which proves that the overlapping handprint optical separation method proposed in this paper based on machine learning has obvious advantages.
New Vocational Education Law on Artificial Intelligence Helps Build a Skilled Society
Authors: Zou Xiangling , Chen Xiaoxu 
Published: January 2024

Abstract
Under the guidance of the new vocational education method of artificial intelligence, this paper divides the skill-based society into skill-based organizations, and constructs a knowledge dynamic equilibrium model based on superimposed knowledge fields. The knowledge-explicit module of skill-based talent flow and the external dynamic equilibrium module are integrated to achieve the evolutionary modeling of knowledge resources in skill-based organizations. Based on the discussion of the new vocational education law, the characteristic models of intellectual resource development, knowledge dynamic growth, group evolution and talent motivation in skill-based organizations are proposed respectively. The simulation analysis of the knowledge dynamic equilibrium network is combined with the analysis of influencing factors to inspire the education of higher vocational colleges and universities under the new vocational education method. As measured by the data, the average path length mean values of the intra-organizational knowledge network when N=160, 260, 330 are 2.2761, 2.4437 and 2.5394, respectively, which indicates that skilled talents have a strong willingness to interact with each other and share knowledge. The construction of skill-based organizations should fully create a strong environment for talent exchange and focus on cultivating students’ willingness and ability to communicate in vocational education.
Modernization of Intellectual Property Discipline Governance Based on Multivariate Statistical Analysis Towards the Construction of a Powerful Intellectual Property Country
Authors: Qi Yin 
Published: January 2024

Abstract
In this paper, after using the TF-IDF algorithm to calculate the weights of intellectual property keywords of digital content, the weights of fused word multi-features are improved to obtain the proportion of intellectual property keywords. Based on intellectual property keywords, combining adversarial fingerprint generation and intellectual property authentication, an intellectual property protection model based on RCNN is constructed. From the perspective of strong nation-building, the research on intellectual property affecting the artificial intelligence industry is designed, and multivariate statistical analysis of scientific governance of intellectual property in the context of strong nation-building is carried out. The results show that the SSIM values obtained by the method of this paper are much better than those obtained by the comparison method in terms of model analysis. Except for the anti-quantization attack, the rest of the indicators are all greater than 0.9. It confirms that the method presented in this paper has excellent robustness in protecting intellectual property. In the empirical analysis of the impact of intellectual property rights on the artificial intelligence industry, except for RDF, which is significant at the 5% level, the regression coefficients of the other explanatory variables are all significant at the 1% level, 2 R amounting to 0.860771 and with a DW value of 1.667387 in the range of 1.5-2.5, that is, it indicates that the level of China’s intellectual property rights protection and the competitiveness of the AI industry are positively correlated. It is positively correlated. This study promotes the improvement of China’s innovation ability and the formation of innovation mechanisms from the aspect of intellectual property protection so as to realize the comprehensive catching up of technology and economy of late-developed countries.
A study to analyze the importance of establishing a mathematical model for teaching college physics
Authors: Liang Jinrong 
Published: January 2024

Abstract
Numerical simulation technology to assist the teaching of university physics is a higher education to continuously adapts to the social development of its own needs. This paper classifies the common forms of university physics courses involving numerical computation, explores the current computer simulation in physics teaching, and establishes the development process of the university physics computer numerical computation simulation program. Numerical simulation technology is applied to the design of university physics teaching, and two examples of numerical simulation technology assisting university physics teaching are designed from two cases of grating diffraction intensity distribution and gas diffusion based on Matlab. In Example N = 10, the light intensity distribution of diffraction grating with different slit numbers is analyzed by numerical simulation, and it is obtained that at 1, there are 9 minima between two adjacent main maxima, 8 sub-maxima, and the maximum value is 100, which verifies the theoretical results of the physical derivation of the grating diffraction intensity distribution. In the exposition, mathematical modeling is combined with examples to show that mathematical modeling can greatly exert the role of mathematical ideas in physics teaching, simplify physics teaching, and further cultivate students’ ability to solve practical problems.