bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penggunaan Metode Demonstrasi pada Pembelajaran Seni Budaya (Teater) di Kelas X E 1 SMA Negeri 7 Padang
Authors: Vanesa Abelita Khre , Susmiarti  
Published: October 2023

Tujuan penelitian ini ialah untuk mendeskripsikan metode demonstrasi pada pembelajaran seni budaya (teater) pada siswa kelas X E 1 SMA Negeri 7 Padang. Jenis penelitian ini ialah penelitian kualitatif dengan metode deskriptif. Alat penelitian ialah peneliti sendiri, dan alat bantu seperti alat tulis dan kamera sangat membantu. Data primer dan data sekunder dipakai pada bahan penelitian ini. Teknik pengumpulan data dilaksanakan melalui studi literatur, observasi, wawancara dan dokumentasi. Langkah-langkah menganalisis data ialah mengklasifikasi data, mengklarifikasi data, menganalisis data, mendeskripsikan data, dan menyimpulkan data. Hasil penelitian dan pembahasan disimpulkan kalau metode pembelajaran sudah sesuai dan hasil nilai peserta didik cukup meningkat. Pelaksanaan pembelajaran seni budaya (teater) dengan metode demonstrasi di kelas X E 1 SMA Negeri 7 Padang sangat berpengarauh kepada belajar peserta didik maka dari itu membantu akan meningkatnya kemauan belajar, pasrtisipasi dan hasil pembelajaran seni budaya (teater) di kelas X E 1. Meskipun masih ada siswa yang tidak mempresentasikan hasil monolog sesuai dengan teknik yang telah ditentukan.
Pengaruh Financial distress, Karakteristik Komite Audit dan Kualitas Auditor Eksternal terhadap Manajemen Laba Akrual
Authors: Arista Salsabilla Putri , Serly Vanica 
Published: October 2023

This study aims to examine the effect of financial distress, effectiveness audit committee, and external auditor quality on accruals earnings management. This type of research is causal associative with a quantitative approach. The data used is obtained from the annual reports of companies in the manufacturing listed on the Indonesia Stock Exchange 2017-2021. The sample selection method using purposive sampling obtained 435 samples from 87 companies. This study uses multiple linear regression analysis to test the hypothesis which is assisted by using the SPSS program. The results show that audit committee meetings have a significant and negative effect on accruals earnings management, while financial distress, audit committee size, audit committee expertise, and external auditor quality not have significant effect on accruals earnings management.
Mirada hermenéutica al Trabajo Social contemporáneo
Authors: Yáñez Pereira Víctor R. 
Published: October 2023

Este artículo se desarrolla en el marco del Postdoctorado en Trabajo Social de la Universidad Nacional de la Plata – Argentina, a partir de construcciones teórico-metodológicas derivadas de la investigación doctoral del autor, quien asume como foco de análisis la matriz hermenéutica y el potencial de comprensión que la disciplina ostenta en su condición contemporánea. Desde esa base, se propone una lectura a los lenguajes de la investigación e intervención, enclave una lógica capaz de complejizar su capacidad crítica y deconstructiva de la realidad. Se concluye que el posicionamiento de la profesión, en sus apuestas sociopolíticas por el desarrollo de la sociedad, reclama fundamentos de una práctica intelectual contrahegemónica, que nos adentre en las tensiones e intersticios dejados por la cuestión social, sin alejarnos de lo real, lo concreto, lo cotidiano.
Analysis of the use of pop singing in musical theater singing based on data analysis
Authors: Li Weiling 
Published: October 2023

Abstract
In this paper, we first systematically sorted out the characteristics of pop singing and musical theater singing and explored the generation of emotion and melody application of pop singing in musical theater singing. Then, the gray GM(1,1) model is analyzed, and a gray data mining model based on data analysis is constructed to predict the application of pop singing in combination with the data mining model under data analysis. Finally, the prediction analysis was conducted to use characterization, timbre and style in pop singing, respectively. The results showed that the score of character building was 90, and the errors between the predicted and actual values of timbre and style were between ±0.1 and ±1, respectively, which were within an acceptable range.
Analysis of film distribution methods based on artificial intelligence technology
Authors: Zeng Rong , Zhang Hui 
Published: October 2023

Abstract
In this paper, we first sort out the common film communication media and film communication methods and explore the application of visual language and multimodal discourse analysis based on artificial intelligence in film communication. Then, the maximum flow belief propagation algorithm is designed by combining the belief algorithm based on the information propagation algorithm with the maximum flow linear programming equation, and the minimum cost of movie propagation methods based on artificial intelligence technology is designed. Finally, the accuracy, speed, and cost of the movie dissemination method using AI technology are analyzed by the MovieLens dataset. The results show that this dissemination method has the lowest MAE and RMSE values of 0.79 and 0.82, respectively, and the minimum average cost is 0.38 per person, which can be effectively disseminated.
Multimedia intelligent 3D images for automatic detection of sports injuries
Authors: Liu Hongyu 
Published: October 2023

Abstract
This paper uses the types and causes of sports injuries as the entry point to fuse 2D dynamic MRI with a 3D static motion for image alignment in multimedia 3D image plane technology. Using a weight-sharing network and convolution operation, sports injury features are extracted and fused, and a fusion detection framework for sports injury image features is created. Data analysis was conducted using an example to verify the detection framework’s effectiveness. The results show that the peak signal-to-noise ratio of acquiring athletes’ sports injury region imaging by the algorithm in this paper is 43 dB, and the average detection time is 5.91 s. The error control for sports injury detection was reduced from 0.102 to 0.011 after 600 iterations of the algorithm in this paper.
Research on digital design and experience of urban landscape based on parametric model
Authors: Xue Yujia , Zhao Yanyun 
Published: October 2023

Abstract
In this paper, according to the characteristics of parametric landscape design, practical landscape architecture is selected for parameter and rule sets, and then the program calculation is established by parametric software to realize the digital design of urban landscapes. The parametric model of urban architectural design is designed for site factor indexing, construction, and management of space and form. The automatic identification model based on the building plan for the construction of building functions is carried out to generate candidate target areas and location refinement analysis, and the parametric generation of the urban landscape is optimized for design. Compared to the initial scheme, the economic and technical indicators increased the volume ratio by 11.2%, the building density by 17.3%, and the green area ratio by 3.6%. The three performance indicators 1/VG̅, CHIS̅ and 1/VB̅ of Rop are 8.5%, 35.6% and 20.8%, respectively.
Construction of a secure storage and sharing model for medical data under computer network technology
Authors: Yin Peng , Yin Ting , Zhao Sijia , Yu Shan 
Published: October 2023

Abstract
This paper constructs a secure storage and sharing model of medical data based on the blockchain technology of computer network technology, and the model mainly designs the encryption process, storage process and sharing process of medical data. The model combines asymmetric encryption algorithm and ciphertext access strategy and designs a hybrid encryption method for secure storage and sharing of medical data through three stages: public parameters and key generation, encryption and decryption. The comprehensive performance of the constructed model is tested, and the security performance indexes are 0.998, 0.989, 0.996 and 0.993 and the execution time of the sharing mechanism is 1~16s, the data upload time is 1200ms, and the data download time is only 200ms.
Optimization Model Construction of Online Public Opinion Dissemination Based on Behavioral Data Mining
Authors: Yao Sijia 
Published: October 2023

Abstract
In this paper, we propose an optimization method based on behavioral data mining for the emergence of negative emotions in network public opinion in unexpected situations leading to problems that endanger social stability and use data mining to confirm the correspondence of the kNN algorithm. In the opinion propagation model, the radius of opinion radiation is assumed to use the network node density and distribution density as features of node exchange information. Then, the kNN algorithm is used to train the comment set for the analysis of user sentiment evolution of network opinion in the social network environment, and the web crawler technology is used to obtain the output interface data APIs of microblogs and WeChat, and the social media user comment data is used as the data for the empirical analysis of network opinion. snowNLP and kNN algorithms are used to analyze the sentiment score of network opinion and the sentiment score less than 0.5, i.e., the sentiment polarity. There were 15 days when the sentiment score tended to be negative and 65 days when the sentiment score was greater than 0.5, i.e., the sentiment polarity tended to be positive.
The effective path of ideological governance of university cyberspace in the context of big data
Authors: Shang Fengbiao 
Published: October 2023

Abstract
This paper analyzes the characteristics of university cyberspace ideology in the context of big data and the causes of risk formation and designs the index system of university cyberspace ideology governance at three levels: micro level, meso level and macro level. The combination of hierarchical analysis and entropy method is used to determine the weight of each evaluation index and establish the evaluation model of governance performance based on gray correlation analysis. After calculating the weights of ideological security in college cyberspace are 0.58, 0.52, 0.55, 0.55 and 0.53, the evaluation result of the constructed college cyberspace ideology governance system is 0.28, which is good.
A study on the strategy to improve the informatization teaching ability of teachers in higher education institutions based on OBE concept
Authors: Jia Man 
Published: October 2023

Abstract
This paper focuses on the outcome-oriented OBE concept and the teacher information-based teaching model. Then, a regression model was constructed to study teachers’ ability to teach in information technology, and the correlation between variables was studied using regression equations and significance tests. The influencing factors of teachers’ informatization teaching ability enhancement were studied through the indicators of teacher factor, school factor, and policy training, and the strategies of teachers’ informatization teaching ability enhancement in higher education institutions were proposed. The study showed that the overall mean value of teachers’ factors among the influencing factors was 4.09, and the mean values of motivation and self-efficacy were greater than 4 points. The overall mean value of school factors was 3.9, the overall mean value of policy training was 3.55, and the mean values of training, policy, and competition were all greater than 3. This study provides some references and ideas for improving teachers’ information technology teaching abilities in higher education institutions.
The integration of vocal music teaching and traditional music culture in colleges and universities with a full media perspective
Authors: bilige Gegen 
Published: October 2023

Abstract
The first part of this paper examines the classification of traditional music culture and the method of integrating it with modern vocal teaching. Then, the association rule algorithm was used to establish the calculation model of integrating college vocal teaching and traditional music culture, and the weighted MINWAL algorithm improved the model. Finally, the degree of integration and the effect of integration between college vocal music teaching and traditional music culture were analyzed using indicators of integration degree, value, and acceptance. The fusion levels of singing style, voice, tune melody, lyrics, performance technique and dynamics were 4, 3.5, 4.3, 4.4, 4.1 and 3.9, respectively. The fusion level regarding teaching content was 4.1, and the fusion level in terms of practical activities was 4.0. A teaching strategy that is feasible and effective and has promotion value is the combination of college vocal music teaching and traditional music culture.
Quality assessment of intelligent physical education teaching in universities based on multivariate statistical analysis and regression analysis
Authors: Li Bo , Guo Wei 
Published: October 2023

Abstract
In this paper, we first propose the basic technical support and service and management of university intelligent physical education composition, and on this basis, we propose a teaching quality assessment model based on multivariate statistical analysis and regression analysis. Among them, multivariate statistical analysis is used to calculate the factor loadings A of physical education teaching, and multiple linear regression is used to establish the teaching quality assessment model and test it. Finally, an empirical analysis of teaching quality assessment was conducted with smart physical education as an example. The results show that the comprehensive assessment value of smart physical education teaching quality based on a multiple linear regression model is very close to the actual value, and the error value ranges from [0.003 to 0.027]. The error values are smaller than [0.0135~0.0921] of the ANN model and [0.0635~0.1033] of the neural network model. The research in this paper can provide scientific quality assessment methods and theoretical support for smart physical education in colleges and universities to promote the development of smart physical education and improve teaching quality in colleges and universities.
Design and implementation of a startup business incubation platform based on VAR model
Authors: Ren Huixi 
Published: October 2023

Abstract
This paper first analyzes the startup incubation platform’s design requirements and builds the application system’s functional structure and architecture. Secondly, the technical analysis of the startup business incubation platform is carried out to model the complex system with multi-factor synergy using time series and capture the linear interdependence between multiple time series with the VAR model. Finally, the startup incubation platform design’s performance was tested. The results show that the system response time slows as the number of users increases, and the longest response time is 2.3 seconds when the number of users is 4000. It shows that the startup incubation platform meets the technical requirements and can fulfill the talent incubation needs of enterprises.
Study on the synergy between ecological landscape planning and architectural design in green building practice
Authors: Liao Bei , Anuar Ahmad Nazrin Aris Bin , Li Xiaoxian , Zhou Huihui 
Published: October 2023

Abstract
This paper analyzes the coupling relationship and coupling factors between ecological landscape planning and architectural design, combines ecological planning with landscape planning and design and explores the practical value of green architecture. The ecological landscape construction is divided into five systems, and three indicators with a high degree of influence on the health of the urban ecosystem are selected as the system influence factors to construct a healthy coupling synergy model of ecological landscape planning and architectural design. Taking Fujian Province as an example, we analyze the degree of coupling between ecological landscape planning and architectural design systems and the regional distribution of the level of coupling coordination in Fujian Province. The highest coupling coordination degree between ecological landscape planning and architectural design is R
10 and Rl for green buildings, with coupling coordination degrees of 0.8341 and 0.8001, respectively, and the lowest is R = 59 0.3854. Thus, it is important to synergize between architectural design and ecological landscape planning and construction.
Emotional design theory of digital art combined with perceptual machine model
Authors: Deng Ting , She Xing 
Published: October 2023

Abstract
The article begins by exploring the emotional design of brands in various categories and proposes a mathematical morphological visual perceptual machine model to implement emotional design. The model constructs a mathematical model capable of capturing and expressing emotional features through numerical sets. Point sets and images, and basic operations in image algebra. Finally, the influence of the applicable fields of brand digital art design, personal emotional needs, and personal experience needs on brand choice is analyzed. The entertainment industry and the Internet industry account for the largest share, each accounting for 30% and 29%, respectively. The influence of personal emotion on choosing a brand is more than 0.8, and the influence of personal experience on choosing a product is more than 0.6. The research results of this paper have certain practical and theoretical significance for the development of brand digital art design.
Study on the influence of vocational education on artisan skills personnel based on statistical methods
Authors: Xu Xinsen 
Published: October 2023

Abstract
This paper explores the multilayer linear relationship between vocational education and artisan skills talent based on a multilayer linear model using statistical methods. By dividing vocational education and artisan skills data into first and second layers, the limitations of traditional linearity or the problem of biased results can be effectively avoided. The multilayer correlation between vocational education and artisanal skills talents is explored by constructing an evaluation. Combining the variables and assignments of vocational education and skilled artisanal talents, the influence mechanism of vocational education on cultivating skilled artisanal talents is explored. The results show that the regression coefficients of vocational education input and students’ situation are high, 0.180 and 0.224, respectively, and significant at P<0.01 regarding the creative awareness of skilled artisan talents. Regarding students’ skill execution, the multi-layer regression coefficients were higher for students’ situation and vocational education input, respectively, at 0.239 and 0.179.
Examining the relationship between adult education participant engagement and learning effectiveness using statistical analysis
Authors: Xu Wenlong 
Published: October 2023

Abstract
In this paper, firstly, the process of building a statistical analysis model is studied in detail, the process of calculating the structural equation is described, and the structural equation algorithm is improved. A correlation model was created based on three dimensions: cognitive involvement, behavioral involvement, and affective involvement. After analyzing the model’s reliability and validity, it was modified to examine the correlation between learning engagement and effectiveness. The results showed that the overall effects of behavioral engagement, cognitive engagement, and affective engagement on key competencies were 0.978, 0.769, and -0.819, and the overall effects of behavioral engagement, cognitive engagement, and affective engagement on basic knowledge were 0.668, -0.569, and 0.586. The correlation between learning engagement and learning effectiveness was significant. This paper’s study has significant implications for educational reform in colleges and universities and for students to enhance their learning effectiveness.
Application of unsupervised machine learning algorithms to credit classification methods for tobacco retailers
Authors: Zhu Lili , Xiao Jun , Jiang Hao , Zhang Liang 
Published: October 2023

Abstract
This paper uses a clustering algorithm to extract and classify credit rating features of tobacco retailers and evaluates whether the classification results are reasonable by combining clustering evaluation indexes. The distance between samples is calculated using the similarity measure. The natural domain method density and peak clustering method are used to analyze the distribution of sample points in the data set. Combining the cluster analysis creates the tobacco retail credit rating evaluation index. The results show that cluster analysis can effectively extract credit rating features from tobacco retailers. When the number of features is 25, the model has the best classification effect, with a classification accuracy rate of 91.1%, a recall rate of 91.5%, and an F1 value of 91.3%. The classification of tobacco retailers’ credit ratings can be improved effectively by the research in this paper.
Design of an online interactive teaching platform for rural music education based on artificial intelligence
Authors: Zhang Yifan , Song Wei 
Published: October 2023

Abstract
This paper analyzes the elements of music curriculum based on artificial intelligence, reveals the nature of weighted linear regression through the nature of the weight function, and establishes a rural music education model using the weighted least squares method. According to the numerical characteristics of multidimensional random vectors, given multidimensional random vectors, the data set of the music teaching platform is set as the country music education indicator using the coordinate coefficient number vectors of each dimension of teaching. It was found that the passing rate of learning ability in the rural music education interactive teaching platform was as high as 97%, and schools should make full use of artificial intelligence technology to promote the better application of the interactive teaching platform in music online education and provide an effective way for rural primary and secondary school music education.
Analysis and Comparison of Limitation Interests in Civil Procedure Law in the Context of Information Technology
Authors: Shen Baosheng 
Published: October 2023

Abstract
This paper first discusses the application of text mining techniques in public security, with the research focus on case classification, feature extraction, and collusion analysis in civil litigation. A plain Bayesian-based first-level classifier is proposed to accurately classify first-level case texts. For all second-level case category document sets, keyword cooccurrence mapping is used to replace word frequency as a metric for feature selection, and a second-level classifier is constructed using a simple vector distance algorithm. Finally, the impact of time-barred benefit abandonment and time-barred benefit loss on the evolutionary system in civil litigation is investigated in depth using the pilot water tax reform in Hunan Province as a case study. The results show that when one of the subjects chooses to discard the statute of limitations benefits, x and y show a trend of steadily increasing convergence to 1 from the initial point, and the final stabilization point tends to (1,1). This paper aims to provide references and suggestions for reforming information and optimizing civil litigation.