bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bentuk Penyajian Kesenian Hadrah Dalam Prosesi Arak-arakan pada Pesta Pernikahan di Desa Dusun Sawah
Authors: Shella Meisaliara  , Wimbrayardi  
Published: October 2023

Penelitian ini bertujuan untuk menemukan dan mendeskripsikan bentuk penyajian kesenian Hadrah Arak-arakan di Desa Dusun Sawah dengan menggunakan metode penelitian Kualitatif dengan pendekatan analisis deskriptif. Untuk mengumpulkan data peneliti melakukan observasi, wawancara, dan dokumentasi. Objek penelitian ini adalah Kesenian Hadrah Arak-arakan dan penelitian ini menunjukkan bagaimana bentuk penyajian kesenian Hadrah dalam prosesi arak-arakan di Desa Dusun Sawah yang ditampilkan dalam acara pesta pernikahan. Dalam acara pesta penikahan di dapatkan bahwa dari segi bentuk kesenian Hadrah arak-arakan menggunakan rebana sebagai alat musiknya dan lirik yang digunakan berasal dari kitab Al-Barzanji yang berjudul Sidal Habi, Salabat Laila dan Ya Rasulullah sedangkan penyajian dari Kesenian Hadrah biasanya ditampilkan pada pukul 08.00 WIB, siang hari setelah sholat dzuhur pukul 13.00 WIB atau sore hari pukul 16.00 WIB dan dimainkan 15-35 orang. Kesenian Hadrah menjadi hiburan bagi masyarakat di Desa Dusun Sawah dan menjalin rasa kekeluargaan yang lebih erat antar masyarakat.
Bentuk Penyajian Tari Joget Sonde di Sanggar Kumpulan Seni Seri Melayu Kota Pekanbaru
Authors: Sella Oktafira Gea  , Herlinda Mansyur  
Published: October 2023

Tujuan dari penelitian adalah untuk mendeskripsikan Bentuk Penyajian Tari Joget Sonde dalam Acara Kenduri Riau di Anjungan Seni Idrus Tintin Kota Pekanbaru. Jenis penelitian ini kualitatif dengan memakai metode deskriptif analisis. Instrumen yang digunakan yaitu peneliti sendiri dengan penunjang seperti alat tulis, kamera dan gadget/ smartphone. Teknik pengumpulan data melalui studi pustaka, observasi, wawancara serta dokumentasi. Analisis data dilakukan dengan melakukan reduksi data, menyajikan data dan menarik kesimpulan. Hasil penelitian membuktikan bahwa Tari Joget Sonde Sanggar Kumpulan Seni Seri Melayu dalam acara Kenduri Riau di Anjungan Seni Idrus Tintin Kota Pekanbaru, adalah tari kreasi yang bersumber dari Tari Joget Sonde tradisi dengan bentuk penyajian non representasional dan hanya berfungsi sebagai sarana hiburan. Tari Joget Sonde ditampilkan dalam acara Kenduri Riau pada tanggal 17 Juli 2023. Unsur-unsur dari bentuk penyajian Tari Joget Sonde sebagai berikut: (1) Terdiri dari Gerak Sembah, Gerak Lenggang Petik Bunga, Gerak Melenggang, Gerak Pose, Gerak Dua Siku, Gerak Joget Itik, Gerak Jengger Jolo, (2) Menggunakan pola lantai garis lengkung dan garis lurus berjumlah 9 pola, (3) Musik Iringan yaitu Gong, Gendang Bebano, Biola dan 1 orang penyanyi wanita, (4) Penari berjumlah 6 orang penari wanita atau lebih, (5) Rias (cantik) kostum (baju kebaya, bros, kain panjang, kain selendang, sanggul cepol, kembang goyang, bunga kertas, (6) Tempat pertunjukan di panggung terbuka. Pentingnya Tari Joget Sonde ini diteliti untuk meningkatkan pengetahuan masyarakat tentang Tari Joget Sonde dan melestarikan Tari Joget Sonde yang dibahas melalui bentuk penyajiannya.
A multiple linear regression-based study of the effect of college teachers’ teaching training on teaching performance
Authors: Wei Liqing 
Published: October 2023

Abstract
The first part of this paper examines the training needs of college teachers teaching based on career management orientation and circular assessment model. Secondly, based on a multiple linear regression algorithm to construct the teaching training model for college teachers, the least squares method is used to find the optimal solution and mean square error to solve the parameters of the teaching training model. Finally, the situation was compared before and after the model was applied. The results showed that the mean score of academic achievement at the end of the experimental class in experiment group a was 12.2 points higher than that of the control class, and the mean score of academic achievement at the end of the experimental class in experiment group b was 11.1 points higher than that of the control class. This shows that teaching training for college teachers can improve teachers’ teaching abilities and thus improve teaching performance.
Analysis of news communication strategies in the era of full media based on data mining
Authors: Liu Xin 
Published: October 2023

Abstract
In this paper, we first study the representation of news text, build the content tree using the CTWE text method, and combine the word vector with the interrelationship between words in the content tree. Then, a feature word extraction technique is applied to filter key information, and Single-pass hierarchical clustering algorithm is used to classify the news content, and a data mining algorithm is applied to realize news delivery. Finally, the impact of information’s initial value and credibility on the transmission process is examined, and the model’s feasibility and practicality are assessed. The results show that the RMSE value of the data mining model is 0.0408, the Pearson correlation coefficient is 0.9334, and the cosine similarity is 0.9596, and the model in this paper has the smallest deviation from the real data and the greatest similarity compared with other models. This study confirms the unique advantages of the data mining model in news dissemination.
Application of Human-Computer Interaction and Digital Image Processing Technology in Virtual Simulation Game Design
Authors: Sun Ji 
Published: October 2023

Abstract
This paper first analyzes the design process, image imaging, and view reconstruction of virtual simulation game scenes and discusses the key technologies used in virtual simulation games. Then, the human-computer interaction techniques of gesture, pose, voice, and data interaction are combined to design a multi-touch detection algorithm based on human-computer interaction. Finally, the edge detection algorithm is combined with the edge detection algorithm to detect the edge of the image, and after the displacement conversion and extraction, the processing process of the digital image is completed. After the performance test, the usability of pose interaction, the accuracy of speech recognition and the timeliness of data interaction of the virtual simulation game are between 0.8 and 1.0, and the overall human-computer interaction capability is highly evaluated.
Analysis of factors influencing police investigation work based on principal component analysis
Authors: Huang Hao 
Published: October 2023

Abstract
In this paper, the generation and carrier models of criminal psychological traces are synthesized and applied to detect criminal cases by constructing a criminal psychological trace model. Secondly, the psychological state of the interrogated person is identified using the first and second layers of the principal component analysis network, and the psychological characteristics of the interrogated person are extracted based on the grey time series improved principal component analysis (GPCA) method. Finally, the psychological state of the interrogated person was analyzed by the psychological test of the criminal psychological trace model. The results showed that the AUC of the CIT psychological test effect on criminal experience was 0.638, while the CIT psychological test effect using the criminal psychological trace model was 0.875. This indicates that the research method in this paper can better understand the criminal psychological traces in the police investigation and their effects on the interrogated person and improve the effectiveness and accuracy of the police investigation.
The organic integration of college Civic Education and practice based on multi-data chain network
Authors: Huang Bo , Liu Yan 
Published: October 2023

Abstract
This paper first investigates the hierarchical structure of multiple data chains and classifies the data chain structure into the application layer, transport layer, physical layer, etc., according to the role classification. Then, the communication of multi-data chain network points is explored, and the forwarding paths between different data chain nodes are planned according to the types of data chains. The data chain messages are planned using the time slot evaluation algorithm, and the practical teaching platform for multi-data chain network thinking is constructed. Finally, the effectiveness of the practical teaching of Civics was evaluated in terms of practical ability, practical literacy, and student performance. The study showed that the significance test of the difference between the post-test of the Civics performance of the two classes was 0.001, which was less than 0.05. Under the dimension of science literacy, the mean value of the Civics practice pre-test was 6.75, and the mean value of the post-test was 7.55, with a difference of 0.4. The quality and efficiency of civics education were significantly improved by teaching civics practice.
Digital construction of higher education management based on multimodal machine database
Authors: Liu Shen 
Published: October 2023

Abstract
In this paper, we first study the multimodal interaction activities in higher education management from the two points of multimodal interaction types and multimodal interaction activity evaluation and propose the perfect way of digital construction of multimodal higher education management from the perspective of students, teachers and higher education institutions. Then, the higher education management system is constructed based on semi-supervised fusion feature learning and homogeneous multimodal features of multimodal machines, and the system architecture and database design are explained in detail. Next, the research literature statistics and system performance of ‘Digitalization of Higher Education Management’ are analyzed through experimental research. The results show that the periodicals’ literature statistics show a rapid increase in articles, mainly from 2003 to 2004 and 2006-2007. The higher education management system maintained an accuracy rate of 80.49% regarding system performance. It is confirmed that the management system constructed in this study can predict the learners’ status more accurately and predictably, contributing to the development of intelligent education management in higher education institutions.
Research on the optimization of the innovation path of university education and teaching management based on the weighted function algorithm of RFID technology
Authors: Wu Kun 
Published: October 2023

Abstract
College education and teaching management are experiencing a transition from traditional modes to informational modes. This paper constructs a management mode for university teaching informatization based on RFID technology and designs the workflow and functions for RFID. For the positioning of student RFID tags on campus, a time-gap ALOHA algorithm is proposed to reduce the collision rate by dividing the processing time of student tags into several time gaps. After obtaining the student tags, an improved K-weighted center-of-mass localization algorithm is proposed for multi-point localization, which makes the weight of multiple known nodes in the process of operation more reasonably distributed through the setting of the weight size. In the simulation test of campus student localization, when the number of beacon nodes is 40, the average error of the K-weighted prime is 6.5%, 4.25%, and 2.1% lower than that of the prime algorithm, weighted prime, and weighted differential prime, respectively.
Research on steel structure system of assembled building and its mechanical performance analysis
Authors: Yang Shengfei , Zhu Jiankai 
Published: October 2023

Abstract
In this paper, the steel structure system of the assembled building is studied, the box modular building stiffness matrix reduction is proposed, and the calculation method of nodal stiffness matrix reduction is proposed based on the concept of nodal degrees of freedom coalescence and substructure to make full use of the repeatability of the box unit to reduce the order of the matrix equilibrium equation. Then, an engineering profile and a comparison of the calculation results of reaction spectrum analysis are carried out for the assembled steel structure system, and studies on the distribution of overturning moments between the frame and core and the distribution of shear forces between the core and the frame are carried out. Lastly, the assembled steel structure system is examined for damage analysis. The results show that the total overturning moment between the box-type modular structure and the conventional structure differs by 5979.6 kN·m and 2.67% in the X-direction and by 4694 kN·m and 2.18% in the Y-direction. The quality and safety of construction projects can be guaranteed more reliably with the help of this study.
A Study of the Effectiveness of Corpus-Assisted Collocation Teaching on Improving College Students’ English Writing Ability Based on Random Matrix Theory
Authors: Lin Xuqin 
Published: October 2023

Abstract
This paper presents a semantic analysis of corpus-assisted collocation teaching based on the random matrix theory, taking into account the characteristics of the computer corpus. The construction of a word-document matrix is based on the potential semantic analysis of the corpus and the intrinsic relationships between words and documents. The aggregation and combination relations of collocation, i.e., the lexicon of word meanings, are used to calculate affirmative sentence similarity, incorporating dependent syntactic and semantic analysis. The error analysis method was applied to the teaching of collocations to analyze the common types of errors and the variability of writing errors in English writing and to discuss the correlation between the performance of English composition and the number of collocations used. The correlation coefficient between composition scores and the number of collocations in compositions was 0.924, and the composition scores of college students had a positive linear relationship with the number of collocations.
BP neural network-based prediction and optimal control of thermoelectric output of distributed solar PV/T systems
Authors: Li Lanqing , He Bin , Xie Yuxing , Huang Jiahui , Zhou Xizheng 
Published: October 2023

Abstract
This study employs An evolutionary algorithm to set up a multilayer BP neural network. The goal is to solve the issue that BP neural systems converge slowly and readily fall into local optimal solutions. The genetic algorithm reaches an initial set of evolutionary generations and outputs a BP neural network’s most appropriate starting weights and thresholds. In the GA-BP model, the fitness value is calculated as the sum of the total errors between the network’s output and the desired output. A communication protocol device was used to gather performance information for the global solar PV/T system, and the GA-BP neural network model parameters were adjusted. The GA-BP model had a mean absolute error of 0.7% lower than the BP model’s for the forecast of electrical efficiency. The GA-BP model has an average relative error of 0.21 in forecasting heating power.
The impact of international logistics cost on international trade based on VAR model
Authors: Liang Yan 
Published: October 2023

Abstract
In this paper, an impact degree indicator system with several indicators is established, and the stability, estimation, lag selection and forecasting of the VAR model are considered in the model construction, and the MVAR model structure and estimation methods are also studied. Chongqing city is selected as the object for the actual case, and the influence degree of international logistics factors on international trade is explored, and the influence of transportation costs on real trade is studied in depth from two aspects: the spatial and temporal dimensions and the influence of high logistics costs on the trade of CIS countries. The study results show that: high logistics costs lead to the concentration of international trade in Central Asian countries up to 0.4 to 0.5. More than half of the goods the six CIS countries sell to the EU are concentrated on one or two specific items. The impact of international logistics costs is so significant that it cannot be ignored in international trade.
The cultivation path of vocational talents in rural revitalization industry based on multidimensional data analysis method in the context of industry-education integration
Authors: Yang Yang 
Published: October 2023

Abstract
This paper firstly analyzes the demand for industrial technical talents and industrial vocational talents training specifications for rural revitalization and proposes a vocational talents training model for the rural revitalization industry based on the integration of industry and education. Secondly, a multidimensional talent training evaluation index system is constructed, and then a network hierarchy analysis of the evaluation index system is conducted using algorithms such as evaluation matrix, entropy value method and game theory combination assignment. Finally, quantitative data analysis was carried out on the indicator weights and the evaluation of indicators using County A of City B as an example. The results show that the overall score of the talent cultivation index evaluation system in County A is 79.96, among which the evaluation scores of first-level indicators are 16.73, 10.56, 21.42, 7.89, 17.06 and 6.30.
A study of asset portfolio risk control based on stochastic optimization
Authors: Bai Yucui , Chen Ran , Liu Lin , Luo Yi 
Published: October 2023

Abstract
This paper analyzes the main methods of stochastic optimization algorithms to construct a stochastic optimization model. The focus is on the calculation method for risk minimization, combined with the SGD algorithm to guarantee the speed of sublinear convergence. The mean variance of the risk evaluation model is determined by constructing the objective function and constraints, and the investor’s risk is minimized based on calculating the minimum variance of the model. The asset portfolio risk evaluation model can accurately describe the risk of different industries, as demonstrated by the results. According to the correlation coefficient reality, the correlation between industry indices is relatively strong, where the correlation coefficient between raw materials and the optional consumption industry is 0.865, and the correlation coefficient between the optional consumption industry and the financial industry is 0.697.
A study on the evolutionary model of legal disputes based on fractal theory
Authors: Hu Jing 
Published: October 2023

Abstract
In this paper, a legal dispute mediation game model is constructed based on fractal theory, characterized by self-similarity properties in disputes. Secondly, the legal dispute evolution game model is constructed, the dynamic differential equation of frequency or frequency is used, and an adaptive degree dispute evolution stabilization strategy (ESS) is proposed according to the evolution principle. Finally, the simulation and analysis of the dispute evolution game model are carried out with the medical-patient dispute as an example. The results show that when D<0 takes the values of −4 and -2, both sides of the doctor-patient dispute will rapidly move toward the norm and form a benign evolutionary trend. When D>0 takes the values of 2 and 4, the two sides of the doctor-patient dispute will rapidly gather toward the challenge and form a vicious evolutionary trend. The study of this paper helps to understand the evolutionary process of legal disputes better and provides a reference for resolving disputes.
A preliminary investigation of niche clothing brand design optimization based on ADDIE model
Authors: Mai Fayuan , Sun Jiajue , Tan Qiongyu , Zhao Boping 
Published: October 2023

Abstract
This paper utilizes the ADDIE model and feature extraction method to analyze and study the design of niche clothing brands. Through the study of the ADDIE model, the model’s components are applied to the design of niche clothing brands. The three elements affecting the design of clothing brands are studied, and the main reasons affecting niche clothing brands are explored through the analysis of the integrity, normality and planning of clothing design. Combining color feature extraction methods to calculate moments is used to describe the color distribution of the images. The results show that the niche clothing brand design has great uniqueness compared to the mass clothing brand design, with an embodiment rate of 75%. Compared to other feature extraction methods, the detection rate for color feature extraction is 65%, corner point detection is 70%, and speckle detection is 59%.
Research on the operation mechanism and path of regional public brand of agricultural products based on the perspective of industrial clusters
Authors: Zhang Xihua , Cai Qiaoyan 
Published: October 2023

Abstract
In this paper, the construction basis of an agricultural regional public brand, the construction main body and the structural model of resource advantageous agricultural regional public brand is discussed in the part of the agricultural regional public brand construction. In the part of the construction of the evaluation model of the competitive strength of agricultural regional public brands, the fuzzy power reconstraint BoD model based on Pareto optimum, Pareto importance criterion, Pareto rule and BoD discriminative criteria, fuzzy group opinion set and the proposed POGF-BoD evaluation algorithm are studied. Finally, an empirical analysis of the competitiveness of agricultural regional public brands was conducted. The results show that the evaluation system for regional public brand competitiveness of agricultural products has an evaluation result of 84.354, with a good evaluation grade. The first-level index brand element’s evaluation result is 88.964, which is the highest score among the four first-level indexes.
Research on the Synergistic Development Mechanism of Vocational Education and Open Education in the Context of High Quality Development with the Application of Multi-scale Integration Features
Authors: Yan Honglin 
Published: October 2023

Abstract
In this paper, firstly, the core literacy and teaching mechanism of the synergistic development of vocational education and open education is studied based on the school education plan under the requirement of the new engineering education goal to improve the quality of vocational school education. Then, the mechanism of collaborative development of vocational education and open education based on multi-scale integration characteristics is studied, and the teaching correction multi-scale integration network in the collaborative model of vocational education and open education is proposed according to the students’ learning state in the classroom. To avoid the problem of over-fitting the loss function in the prediction of the learning state, it is necessary to introduce the regular term to prevent the model from over-fitting and to analyze the learning state and the satisfaction of the collaborative model analysis. The results showed that the learning status of the two students was in a state of concentration, which was a more objective analysis of the distribution of students’ attention in the classroom. In terms of satisfaction with the collaborative model, the satisfaction level of the first-year students with the factors of the collaborative model of vocational education and open education was lower than that of the second-year and third-year students. This study is important for achieving the ambitious goal of achieving high-quality development of the synergistic mechanism between vocational education and open education.