bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing the Beginning and End of the Rebellion of Shi Zhou Tusi by Lanyu’s Suppression in the Early Ming Dynasty in the Perspective of Algorithm Criticism
Authors: Qin Jiangkun , Hong Xia 
Published: January 2024

Abstract
The Tusi system was the main means of border minority rule in the Ming Dynasty, and analyzing the beginning and end of the Tusi rebellion and its pacification is an effective perspective to analyze the governance of the system. The paper builds an algorithmic criticism paradigm for the historical study of the Shizhou Rebellion in the early Ming Dynasty, proposes a framework extraction algorithm to realize the automatic acquisition of historical knowledge, identifies the consistency of the knowledge framework based on the conceptual lattice, and corrects the inconsistency by combining with the unity algorithm. After using an iterative algorithm to fuse the multi-source knowledge framework, constraints are added to the conditional random field to improve the extraction of event elements. The semantic reasoning of event features is completed by establishing a semantic knowledge association network of historical events through the association of elements. Based on the results of knowledge association, it is found that the knowledge flow between the topic pair “Tusi→Shizhouwei” is most likely to occur in the future with an association probability of 0.631. “kampong→Education” The probability of association between the theme pairs “kampong→Education”, “Shizhou→Appliance”, “Lanyu→Military”, and “Crackdown→Politics” is 0.631. The same possibility of knowledge flow in the future exists between theme pairs such as “Shizhou→Appliance”, “Lanyu→Military” and “Crackdown→Politics”, with association probabilities greater than 0.550, which suggests that the core contradiction between the Shizhou Tusi Rebellion and governance lies in the contradiction between the Tusi and the leadership rights and interests of the Shizhou Guards. The dissection of the Shi Zhou Tusi rebellion declares the profound influence of the Tusi system on the frontier governance of the Ming Dynasty and reveals the fundamental problems of local governance in the ancient Chinese Great Unification Dynasty.
The Application of CIPP Model in the Evaluation of Teaching Quality of College Education in the Context of New Era
Authors: Lei Zhong 
Published: January 2024

Abstract
The flaws in the conventional teaching quality evaluation system that have always existed have not been fixed since the start of the new century. This study suggests a teaching assessment model for college education that utilizes the CIPP model since there is a pressing need for a model that can satisfy the demands of the modern educational environment. The investigation examines the relevance of both approaches to teaching quality evaluation in educational institutions by combining the advantages of CIPP and BP neural networks. The artificial neural network’s working mechanism is described, the weights within the BP learning algorithm are modified, and the first version of the teaching assessment model is inferred based on an analysis of the structure and function of neurons. The conceptual model of teaching quality assessment in higher education is intended to be completed by the model’s algorithm and framework. Investigate and analyze the teaching quality of S colleges and universities using the empirical analysis approach. The results of the empirical investigation show that the correlation coefficients of the 4 dimensions of teaching evaluation are above 0.6, with control between 0.3-0.8, and they have a strong correlation. The Cronbach’s alpha coefficients of the survey are all above 0.7, with very good reliability.
A Study on a New Way of Thinking Based on Linear Programming to Analyze Civic Education in Colleges and Universities
Authors: Tang Qi , Yang Yue 
Published: January 2024

Abstract
This paper intends to construct a new multi-dimensional preference analysis model for learners by using the improved linear programming method of multi-dimensional preference analysis (LINMAP) to get the weight vector of attributes under the situation that the weights of attributes are completely unknown and for the uncertain multi-attribute decision-making problem that the elements of decision-making matrix are triangular fuzzy numbers, and the preference information is ordered pairs. The data of subjective or objective Civics education learning preferences are aggregated, and the statistical analysis of the data is carried out using SPSS.21 to generate the Civics education learning preference input degree weighting system. The results show that the offline behavioral input weight in the college Civics course is 0.5769, which is greater compared to the online input. And the attribute weights of course Civics preference are calculated to get Z
max = 2.29, Z
min = 0.73. Multiple feasible solutions can be obtained by taking any value between [0,1]. Based on the development law of the times, this paper makes a new thinking on ideological and political education and actively explores a new road suitable for the development of ideological and political education in colleges and universities.
The Design and Development of Traditional Elements in Visual Communication Design under the Perspective of New Media
Authors: Cai Yifei 
Published: January 2024

Abstract
This paper takes visual communication design as the entry point and reduces the complexity of the network model and the number of parameters by a convolutional neural network. The Faster R-CNN algorithm has been improved and is now used as the main algorithm for traditional element extraction and detection. The global detection and segmentation extraction algorithm based on U2-Net is utilized to reduce the depth of the network model, and the VGG16 algorithm is improved according to the characteristics of traditional elements, migration learning and its network structure in order to increase the sensory field and solve the problem of loss of accuracy of the feature maps on the basis of not changing the feature layer. An empirical study of traditional element extraction is conducted by using shadow costume patterns as an example. The results show that in multiple shadow images, the range of hues used for the five character types, namely, small Dan, Sheng, Jingsheng, Chou and old Dan, is H ∈ [0°, 210°] ∪ [345°, 360°], and medium-high saturation is dominant, and the range of brightness of the colors used is also basically the same, which is between 0.5-1. This research experiment verifies the feasibility of the element extraction algorithm, which can realize the feature extraction and classification of traditional elements, and its application in visual communication design can improve the visual impact of the works, provide consumers with more diversified design solutions, and can also effectively realize the innovative application and development of traditional elements.
Connotation analysis of vocational literacy of higher vocational students in modern service industry based on MOA model
Authors: Xu Xiaobin , Zhao Ruiye 
Published: January 2024

Abstract
In order to cope with the challenges of the rapid development of the information society and economy, the educational reform aiming at students’ development of vocational literacy in higher vocational education has become a basic consensus in the field of global education. Based on MOA theory, this paper constructs the research hypotheses on the influencing factors of vocational literacy of higher vocational students in the modern service industry from the dimensions of motivation, opportunity and ability. Multiple linear regression theory is introduced to analyze the influencing factors of vocational literacy of higher vocational students in the modern service industry, and the regression coefficients are estimated by penalized quantile regression. In order to verify the application validity of the research hypotheses and regression model constructed based on MOA theory in this paper, an empirical analysis was carried out by using the data in the way of a questionnaire survey. The results show that the factor loading values of each variable of the model are higher than the critical value of 0.6, and most of the factor loading values are above 0.8. The correlation coefficients between vocational literacy and the dimensions of the influencing factors are all in the range of 0.2-0.5, and the adjusted R2 results of the model of motivation, opportunity as well and competence exceed 65% of the degree of explanation. The connotation of vocational literacy for higher vocational students of the modern service industry under the MOA theory needs to deeply excavate their motivation for learning and pay attention to the construction of the internal and external environments as a way of improving the learning ability of the students.
Research on the classification and application of precision marketing based on big data e-commerce platforms
Authors: Dong Shaobin , Li Aihua , Kong Decai 
Published: January 2024

Abstract
This paper proposes and improves the traditional K-means algorithm, utilizes the HC-Kmeans algorithm to deeply analyze the marketing status quo of the M e-commerce platform, and constructs the overall framework of precision marketing based on big data technology. The RFM model is used to measure customer value and segment customer behavior. Formulate marketing strategies that correspond to the consumption habits and preferences of different categories of users. The data from 40 consecutive days of observation is used to verify the precision marketing effect of the A/B testing method, and the final results show a good improvement in the click rate, order rate, payment rate, and order amount. During the Double Twelve Shopping Festival, compared with the traditional mode, the payment amount of M Company’s product recommendation increased by 64,604 yuan, and the order increased by 301 units, so the implementation of the precision marketing strategy was effective.
Analysis of the Art and Emotional Skills of College Vocal Singing in the Age of Big Data
Authors: Zhang Fan 
Published: January 2024

Abstract
In this paper, the extracted acoustic features are processed using the MFCC method to classify the sound recognition. The linear spectrum of the sound is mapped onto the Mel FPP coefficients and Mel nonlinear spectrum, respectively, and the MFCC is obtained by cepstrum processing. The Mel FPP coefficients and Gaussian mixture model are combined to create the acoustic model. On this basis, the art and emotional skills of vocal singing are explored, and simulation and empirical experiments are set up to analyze the effect of the model constructed in this paper. The experimental results show that the model constructed in this paper tends to stabilize when the number of iterations is 2, the final accuracy rate stabilizes near 0.9, and the model is effective. Different vocal types are recognized by the model constructed in this paper, and the recognition rate of emotional expression of all vocal types is above 0.7, and the model recognition rate is high. The accuracy and recall classification for emotional expression techniques are 0.73 and 0.79, resulting in a more balanced evaluation overall.
Research on the Cultivation of Innovation and Entrepreneurship Ability of College Students under the Background of Big Data
Authors: Liu Yuran , Liang Xiaoying 
Published: January 2024

Abstract
This paper firstly coordinates the relationship between the internal elements of university innovation and entrepreneurship incubation systems through positive and negative feedback regulation so that the system reaches equilibrium or rises to a higher level of equilibrium. Secondly, based on the whole process of innovation and entrepreneurship, the diffusion model of the university innovation and entrepreneurship system is constructed, setting university students’ innovation and entrepreneurship ability as the expected benefit and cognitive bias as the cost and exploring the benefit curve of innovation and entrepreneurship ability and cognitive bias. Finally, we initialize the parameters of the simulation system for incubating innovation and entrepreneurship among college students and simulate the constructed scale-free network model using Matlab simulation. The results show that in the simulation Corporation1, when tick=5, the maximum value of the Y coordinate appears to be 27.5, which responds to the growing process of college students’ innovation and entrepreneurship incubation objects. The simulation of college students’ innovation and entrepreneurship proposed in this paper complements the short board of college students’ inability to practice innovation and entrepreneurship and provides a practical reference for the cultivation of innovation and entrepreneurship talent ability in college education.
A study on the impact of theater performing arts combined with drama arts on the stage in the context of big data
Authors: Yin Yiming 
Published: January 2024

Abstract
In this paper, based on the law of motion, combining the spherical coordinate system representation with the drama art of action feature recognition in the process of theatrical performance, the joint points of wrist, elbow and shoulder and the corresponding feature vectors as well as the school angular velocity are calculated. The affine invariant domain of feature matching is constructed, and the algorithms of dynamic frame difference merging and dynamic detection of human-computer interaction are applied to obtain similar feature components of the recognition of body movements and gesture commands in the process of theatrical performance. The harmony factor, emotion factor and contrast factor in the stage scene are used as evaluation parameters to derive the color evaluation function and keyframes of theatrical stage lighting combined with drama art. For the research purpose, the research on the stage influence of the theatrical performance of combining drama is designed, and the example analysis of the stage influence of the theatrical performance of combining drama is analyzed by using origin software. The results show that the level of the audience’s arousal dimension is significantly higher than its level in CSP, t(1, 29)=3.959, p<0.001, upper threshold (Engagement=0.38, Arousal=0.26), lower threshold (Engagement=0.35, Arousal=0.21), i.e., the specific performance episode for the audience to bring about significant emotional relaxation. Audience ratings of CAC were generally higher than their ratings of CSP, with differences ranging from 0.2 to 1.5. The mean times that subjects were in the “S(n)=1” state in the three modes were 219.86 (SD=60.62), 287.37 (SD=80.68), and 310.7 (SD=45.83), respectively. 45.83). This study greatly improves the impact of stage art and gives a whole new life to the combination of theater performance and drama stage art.
The path of management of dispute cases of legal issues of webcasting bandwagon industry in the information age
Authors: Chang Chao , Zhang Wei 
Published: January 2024

Abstract
In this paper, for the common live streaming with cargo dispute cases in the context of the information technology era, the live streaming with cargo industry dispute case retrieval algorithm based on case-based reasoning calculates the attribute similarity measure and weights of the dispute cases in order to realize the live streaming with cargo industry dispute case retrieval. Three thousand judicial documents with live streaming with cargo disputes as the cause of the case were crawled from the China Judicial Documents Network as the initial data for the study and the method of BIOES was used to annotate the initial data and formulate eight basic legal elements of live streaming with cargo dispute cases. The form of extracting legal elements of live streaming with goods industry is transformed into a multi-label text classification task, and the neural network modeling method combined with the attention mechanism is used to design the extraction model of legal elements of the live streaming with goods dispute cases, and then the live streaming with goods dispute cases on the Internet are analyzed by examples. The results show that the Acc value of this paper’s model is 0.973, the Loss value is 0.051, and the F1 value is 0.981, and on the whole, this paper’s model performs better compared with the other five models, i.e., it shows that this paper’s model can be more intelligent and accurate to collect the case element information under the field of live streaming with goods disputes. This study aims to contribute to the development of a new sales model of live streaming with goods benignly.
An analysis of the effects of a physical education web-based instructional program on college students exercising at home during COVID-19
Authors: Li Chunyan , Han Yue , Du Wanxin 
Published: January 2024

Abstract
Teaching online physical education courses under the epidemic normalization plays a positive role in students’ physical fitness. In this paper, taking 308 college students of X Sports College as a research case, personalized recommendation of physical education online teaching courses is carried out through a user collaborative filtering recommendation algorithm based on fuzzy clustering and user interests. The model of sports skill action development is constructed based on the mountain peak model and hourglass model, and the exercise intensity of the initial exercise is modified according to the results of home exercise intensity adjustment to obtain a personalized home exercise program suitable for individuals. Finally, the effectiveness of the home exercise optimization program was verified through the analysis of teaching constraints and exercise effects. The results show that under the epidemic normality, the difference between the demonstration movements and the test results in the 1st, 2nd and 3rd optimized teaching phases is between ±5.86, which is closer to the value of each index of the demonstration movements, indicating that the optimization and adjustment scheme of the home exercise of the physical education network teaching course has good effects. This paper has reference value for universities to conduct online teaching and training of university physical education courses in the context of major public health emergencies.
The Impact of the Big Thinking Program on Students’ Mental Health in the Context of Three-Way Parenting
Authors: Liu Yan 
Published: January 2024

Abstract
This paper combines the stepwise regression algorithm as well as the decision tree algorithm to design a decision tree stepwise regression algorithm model of the impact of the big Civics program on students’ mental health. This paper focuses on the use of a stepwise regression algorithm to eliminate the independent variables that do not have a significant impact on the dependent variable, and through the decision tree, ID3 method to test all the features, in-depth exploration of the degree of influence of the large courses of ideology and politics on students’ mental health. In order to be able to more deeply solve the degree of influence of the large course of thought and politics on students’ mental health, a oneway linear regression analysis is carried out on the basis of the relevant analysis data of students’ mental health. The results show that the histogram of the independent variable of the large course of ideology and the dependent variable of the total mean score is distributed in a normal curve, with a mean of 2.82E-16, a standard deviation of 0.999, and a correlation coefficient squared of 0.057, which indicates that the large course of ideology has a predictive effect on the mental health of students and that the students’ anorexia mental health is influenced by the large course of ideology by 0.057. This study shows that the large course of ideology is able to promote the physical and mental health development of students and contribute to the mental health of the students. This study shows that the large ideology and politics program can promote the healthy development of student’s physical and mental health, provide a direction for mental health education to become an effective carrier of “moral education”, and also provide a breakthrough point for the reform and innovation of students’ mental health education.
Study on the Historical Evolutionary Process and Practical Significance of Xiangxi Nuo Witch Culture Based on the Hierarchical Analysis Method
Authors: Hu Qian , Liu Jinming 
Published: January 2024

Abstract
This paper, through the method of subjective screening indicators, initially determined the Xiangxi Wu Nuo cultural evaluation indicators, and the use of hierarchical analysis of the history of Xiangxi Wu Nuo cultural indicators decomposed into different levels, and then the way the block diagram to indicate the hierarchical recursive structure and the affiliation of the factors. According to the effective amount of information provided by the metric data, using entropy weighting method to calculate the subjective weights to construct the subjective evaluation model of the historical evolution of Xiangxi Wunuo culture and research and analysis of Xiangxi Wunuo culture. The results show that based on the hierarchical-entropy weight method of Xiangxi Wunuo cultural history evaluation of the likelihood ratio test of P<0.05, McFadden R2 value between 0.2 ~ 0.4, indicating that based on the hierarchical-entropy weight method can be more accurate to Xiangxi Wunuo cultural history evolution process evaluation. The overall satisfaction of the current status of the communicative revitalization of Xiangxi Wu Nuo culture is 2.504, the importance is 4.381, and the IPA index is 29.296, indicating that the intangible cultural heritage has a stronger communicability. This study provides theoretical guidance for the study of the historical evolutionary process and practical significance of Xiangxi Wunuo culture and is of practical significance for the promotion of the sustainable development of Xiangxi Wunuo intangible cultural heritage.
Application of Electronic Communication Signal Modulation Recognition System Based on Fourier Transform
Authors: Liu Jingxue , Zhang Huale , Cheng Rui , Liu Jun 
Published: January 2024

Abstract
In this paper, the weighted class fractional Fourier transform is redefined by means of the weighted superposition of state functions, and the Fourier transform is applied to dissect the intrinsic relationship between the M-WFRFT and the 4-WFRFT and to obtain the weighting coefficients of the electronic communication signals. On the basis of the WFRFT discrete algorithm, the electronic communication signal is expanded to include M a term after the M -WFRFT and the hybrid carrier modulation method based on the WFRFT is given. According to the design idea of the electronic communication system, the hardware part and software part of the electronic communication system are designed, and the electronic communication signal modulation recognition system is experimentally analyzed by using the simulation experiment method. The results show that when the signal-to-noise ratio is -8dB and the optimization algorithms are the Sgd algorithm, Sgdm algorithm, and Adam algorithm, the modulation identification accuracy of OFDM signal is 39.3%, 57.5% and 43.5%, respectively, which indicates that the Sgdm optimization algorithm is the most suitable one compared with other algorithms, and it is more effective in the modulation identification of OFDM signals at low signal-to-noise ratio. The number of scans of the three-layer multi-parameter WFRFT signal by the non-cooperative party is 6.4 × 1013 times, and the increase in the number of scans leads to an increase in the cost paid by the non-cooperative party, which confirms that the secure communication system based on three-layer weighted fractional-order Fourier transform has good resistance to parameter scanning characteristics and high confidentiality. This study further improves the a priori parameter setting of the electronic communication system and enhances its complexity, resulting in better anti-interception identification features.