bluuebunny/crossref_metadata_2025_split huggingface dataset:
Studi In-Vitro Efektifitas Grain Kefir dengan Kombinasi Sorbitol Terhadap Pertumbuhan Streptococcus mutans
Authors: Sutanti Viranda , Rachmawati Yuanita Lely , Putra Bintang Vallentino Nugraha , Pangestu Herlambang 
Published: October 2023

Karies gigi adalah penyakit kronis jaringan keras gigi yang disebabkan oleh Streptococcus mutans (S.mutans). Berbagai metode termasuk aplikasi pasta gigi, senyawa antibakteri dan obat kumur yang mengandung fluoride bersama dengan penggunaan pemanis yang tidak dapat difermentasi seperti sorbitol telah disarankan untuk mengurangi aktivitas bakteri ini. Pada studi ekologi mulut telah mengkonfirmasi efektifitas bakteri probiotik dalam mengurangi jumlah S. mutans. Grain kefir merupakan salah satu produk probiotik. Tujuan penelitian ini adalah untuk melihat efektifitas grain kefir murni dan kombinasi dengan sorbitol terhadap pertumbuhan S. mutans secara in vitro. Penelitian dilakukan di laboratorium Biologi Oral Fakultas Kedokteran Gigi Universitas Brawijaya pada bulan Januari-Februari 2023. Dilakukan uji KHM (Konsentrasi Hambat Minimum) menggunakan uji tabung dan KBM (Konsentrasi Bakterisidal Minimum) menggunakan colony counter. Penentuan konstrasi perlakukan diawali dengan uji pendahuluan grain kefir murni konsentrasi 3,125% dan 6,25%, 12,5%, 25%, 50% dan 100%. Nilai KHM grain kefir murni uji pendahuluan terhadap S.mutans pada konsentrasi 12,5%. Pada konsentrasi perlakuan didapatkan nilai KHM grain kefir murni adalah 15% dan kombinasi grain kefir-sorbitol terhadap S.mutans yaitu pada konsentrasi 12,5%. Nilai KBM grain kefir murni didapatkan pada konsentrasi 15% dan kombinasi grain kefir-sorbitol pada konsentrasi 12,5%. Kombinasi grain kefir-sorbitol dapat menurunkan pertumbuhan S. mutans pada konsentrasi 12,5%.
Ventajas de uso de tecnologías de la información en educación a distancia digital en tiempos de COVID-19
Authors: Jaime-Vargas José Alejandro , Sánchez-Lezama Ana Paola 
Published: October 2023

Debido a la pandemia provocada por el covid-19, los gobiernos de casi 200 países decretaron el cierre total o parcial de instalaciones educativas presenciales con el fin de frenar la dispersión del virus. Específicamente en México, a mediados de marzo del 2020, se estableció el aislamiento social que obligó la suspensión de actividades educativas presenciales, lo que provocó la implementación de educación en modalidad online, por lo que las tecnologías de la información adquirieron un papel sobresaliente en el sector educativo. El objetivo del estudio, por tanto, es analizar la percepción de los universitarios en modalidad virtual sobre las ventajas de los cursos en línea, en especial en cuanto a herramientas virtuales, interacciones con profesores, interacción con materiales de aprendizaje e interacción dialógica con compañeros, controlando por género.
Para eso, se empleó un muestreo no probabilístico con 205 sujetos. La investigación buscó determinar, a través de un diseño cuantitativo y un análisis de ecuaciones estructurales, los puntos que se deben fortalecer para posibilitar el alcance, calidad e igualdad de la oferta educativa en línea. Los hallazgos indicaron que la percepción de herramientas pedagógicas y la interacción dialógica con compañeros afectan positiva y significativamente la apreciación de las ventajas de las clases virtuales. Este artículo, en definitiva, permite conocer la percepción de los estudiantes en relación con las herramientas pedagógicas y si su disposición varía según si es nativo o inmigrante digital. Por último, se considera necesario optimizar los materiales didácticos virtuales, pues se documentó que en la mayoría de los alumnos predomina un estilo de aprendizaje visual.
Bentuk (Form) Musik Pengiring Grup Barongsai H.B.T Kota Padang
Authors: Zikri Insanillahia Shuccy , Wimbrayardi  
Published: October 2023

Penelitian ini mencoba mengidentifikasi jenis komposisi musik Barongsai yang digunakan oleh Grup H.B.T. di Padang. Jenis penelitian ini menggunakan teknik analisis isi dan bersifat kualitatif. Peneliti adalah alat penelitian utama, dengan bantuan alat lain seperti alat tulis dan telepon genggam. Observasi, wawancara, dokumentasi, dan studi literatur digunakan sebagai pendekatan pengumpulan data. Analisis data meliputi pengumpulan data, mendeskripsikan data, dan menarik kesimpulan dari data. Temuan penelitian menunjukkan bahwa pola tabuhan permainan musik barongsai berbeda. Terdapat 11 repertoar musik barongsai yang berbeda yang berbasis perkusi. Namun, ketika semua repertoar tersebut digabungkan, terdapat kesamaan yang membuat musik barongsai terlihat seperti satu kesatuan yang kohesif. Hal ini terjadi karena beberapa repertoar menggunakan motif pukulan yang sama. Pada dasarnya, motif adalah penggabungan beberapa nada untuk menghasilkan pola pukulan tertentu. Hal ini membuat perlu untuk melakukan analisis yang lebih menyeluruh terhadap setiap repertoar musik barongsai untuk mengidentifikasi tema utama dan tema yang sering digunakan dalam pertunjukan barongsai. Ternyata, motif nada 1/8, yang mengeksploitasi kecepatan gaya permainan barongsai pada nada 1/16, merupakan motif pola irama yang paling banyak digunakan di antara 11 motif pola irama yang dibawakan. Hanya perjalanan jenis barongsai yang menggunakan nada 1/8. Di satu sisi, kecepatan barongsai diwakili oleh nada 1/16.
Sistem Manajemen Sanggar V Tunang di Kota Padang dalam Tata Kelola Organisasi dan Pemasaran
Authors: Hafizatul Ismi  , Indrayuda  
Published: October 2023

Penelitian tersebut mempunyai tujuan yang menjelaskan juga mendeskripsikan tentang Sistem Manajemen Seni Pertunjukan Sanggar V Tunang di Kota Padang Dalam Tata Kelola Organisasi dan Pemasaran. Jenis penelitian ini yaitu penelitian kualitatif yang memakai metode deskriptif. Instrumen di penelitian ini yaitu peneliti sendiri dengan memakai instrumen pendukung yaitu peralatan tulis dan camera. Contoh data yang dipakai merupakan data primer juga data sekunder. Teknik pengumpulan data yang dipakai di penelitian ini adalah menggunakan studi pustaka, observasi, wawancara, dan dokumentasi. Teknik analisis data, penyajian data juga menarik kesimpulan/verifikasi. Hal ini menujukan maka Sanggar V Tunang memiliki sistem manajemen kepemimpinan yang tunggal, dalam pelaksaannya leader yang telah dipilih dan ditetapkan memiliki tanggung jawab ketika ada acara maupun tidak. Sistem manajemen bertumpu pada manajemen tata kelola organisasi dan manajemen pemasaran. Sanggar V Tunang memakai tata kelola organisasinya dengan cara memilih 7 orang leader (Penari inti) yang telah mancangkup semua pekerjaan dan setiap leader tersebut mempunyai tanggung jawab masing-masing dalam posisi yang telah di tentukan. Kegiatan pemasaran yang di lakukan oleh sanggar V Tunang ialah dengan cara mempromosikan lewat media sosial yaitu instagram, facebook, dan tiktok. Sanggar V Tunang juga menjalin kerja sama dengan beberapa pelaminan yang ada di Kota Padang. Target pamasaran pada Sanggar V Tunang adalah event wedding, event pemerintahan, event komunitas dan lain-lainnya.
Real-time signal detection system and reliability analysis of wireless networks under 5G communication architecture
Authors: Zhang Weimin , Zhu Yanlong , Liang Mingliang , Zhang Guixiang 
Published: October 2023

Abstract
This paper first analyzes the network for 5G communication architecture and builds a framework for signal detection systems for wireless networks based on this architecture. Secondly, to better ensure the reliability of the signal detection system, the AE-ELM algorithm is built for wireless network signal detection by introducing an automatic coding machine and an overrun learning mechanism. Finally, an example is used to verify the reliability of the wireless network signal detection system in real-time. The results show that the signal detection rate of the real-time signal detection system with data volume over 300GB is 93% correct, and the maximum rate of missed rejection is about 6%. When SNR=25dB, the BER of the AE-ELM algorithm fluctuates around 10-5 with a variation of only about 0.1%. This shows that the signal detection system of a wireless network under 5G communication architecture has good reliability.
Research on the Analysis of Traditional Dance Performance Forms and Dance Movement Characteristics Based on Artificial Intelligence Technology
Authors: He Hui , Wang Baoyu , Chang Jing 
Published: October 2023

Abstract
This paper analyzes the performance forms and movement characteristics of traditional dances by using the method of movement feature extraction. We construct a dance key movement extraction system by merging optical flow computing and extracting the key movements of music and dance, which increases the efficiency of traditional dance movement analysis and reduces computational complexity. We can improve the similarity matching of human posture when using picture entropy computation. It uses an optical capture technique to record lively dancing motions. The results show that the accuracy of optical flow computation is 0.8 for distinguishing the form of the cultural lion performance, 0.85 for distinguishing the martial lion performance, 0.75 for distinguishing the aerial lion performance, and 0.6 for capturing the tumbling movement of the cultural lion and 0.7 for capturing the frolicking movement under the optical motion capture system.
Research on the construction of ecological mechanism and sustainable development of university English teaching based on multi-objective planning
Authors: Ke Xinli , Chen Siyi , Wang Jian 
Published: October 2023

Abstract
This paper firstly addresses the construction of the university English teaching ecosystem and gives the basic structure of the university English teaching ecological mechanism. Secondly, the multi-objective planning model is used to analyze the influencing factors of the university English teaching ecological mechanism, and the index evaluation system of the university English teaching ecological mechanism is constructed. Finally, to verify the effectiveness of the university English teaching ecological mechanism, the entropy weighting method was used to determine the index weights. The results show that the evaluation ratio of the first-level indicators with a C grade or above is 89.61%, and the weight values of the top three second-level indicators are 0.865, 0.808, and 0.715, respectively. It shows that multi-objective planning can effectively analyze the influencing factors of the ecological mechanism of English teaching and then promote the sustainable development of English teaching.
A study on the prediction of development strategies of art education in universities based on deep learning model
Authors: Zhu Xiaohong 
Published: October 2023

Abstract
In this paper, we propose a deep learning restoration method for fine art painting images based on a contextual encoder and select a convolutional self-encoder-based image restoration model for workflow analysis, including forward inference and backward network propagation. We design and develop a software system for predicting the grades of college art and painting students and apply the neural network prediction model to this system to realize the grade prediction of college art students. The accuracy of the GDPN model is 0.922, the precision is 0.904, and the recall is 0.966, which can consider both the temporal and overall information in the click behavior and achieve a better prediction effect.
Furniture collapsible design optimization using spatial geometric analysis
Authors: Qiu Qi , Dong Manman 
Published: October 2023

Abstract
In this paper, the function, style, and material of foldable furniture are designed, and the process of selecting, generating, and deforming the blocks is combined with parametric techniques to model the foldable furniture blocks. To generate shrinkable unfolded furniture, the objective function of the foldable furniture is optimized, combined with the optimization algorithm of Voronoi polygon and surface parameterization, and the spatial geometry results of the foldable furniture are optimized using spatial geometry. After analyzing the optimized foldable furniture, it was concluded that the overall mechanical strength index was greater than 0.76, and the optimized weight, fluidity, operational complexity, material, degree of structural wear, and node stability were all significant factors exceeding 0.7.
Exploring the innovation path of daily management mode of college students in the new era based on big data technology
Authors: Zhu Lin , Song Ruichao 
Published: October 2023

Abstract
This paper uses big data technology to focus on the clustering and correlation analysis of students’ daily behavior. The daily management workflow of students is constructed by analyzing the main algorithms of big data technology and the application scope. The association degree rules are combined to calculate students’ associated behaviors’ minimum support and confidence degree. The clustering algorithm was used to classify the daily management patterns of students into learning, closed, and active types. The student daily management clustering process was improved by using Newton interpolation to improve the inheritance and compatibility of node changes. In the correlation analysis, the support of the association label for regular type 1 was 0.441 in support and 0.852 in confidence, and the support of more regular type 2 was 0.425 in support and 0.846 in confidence.
The main problems and countermeasures of English teaching in higher education based on VAR model
Authors: Hu Zhihong , Min Yao , Min Lu 
Published: October 2023

Abstract
This paper first analyzes the current situation and characteristics of English teaching in higher education and explores the current classroom model of English teaching in higher education. Then, it combines the multiple regression model and VAR method to construct an improved multiple autoregressive model of English teaching based on VAR and apply it to higher vocational English teaching. Finally, the improved model was tested for smoothness and co-integration, and the problems of English teaching in higher education were analyzed using impulse responses. The results showed that when the number of teacher-student ratios increased, the teaching quality response was -3, the English teaching time increased, and the English teaching quality response was around 4.5. The best-fit teaching model yielded a positive and stable response of around 4.5.
Analyzing the aesthetic value of college piano in music education using cognitive mapping
Authors: Zhang Wei , Tan Yuan 
Published: October 2023

Abstract
This paper first analyzes the differentiating factors of piano music education in colleges and universities and constructs a cognitive mapping framework using a fusion graph convolutional network. Secondly, the cognitive mapping of the fusion graph convolutional network was used to extract the cognitive elements of aesthetic value, and then the aesthetic value analysis framework of piano education was constructed. Finally, an empirical analysis was conducted to verify the effectiveness of the aesthetic value analysis framework for piano education. The results showed that the average percentages of A-grade evaluation of the beauty of understanding life, training thinking, exercising ability, and practicing art felt from piano music were 0.494, 0.473, 0.456, and 0.419, respectively, indicating that cognitive mapping can effectively analyze the aesthetic value of college piano in music education.
Innovative research on the design of aging-friendly interior space in the context of computer simulation
Authors: Wang Feng , Qi Yichen , Liu Jie 
Published: October 2023

Abstract
This paper firstly takes the demand of older people for indoor space environment as a breakthrough and analyzes the characteristics of the elderly group, the spatial environment demand generated by the physiological and psychological characteristics of the elderly and the application of computer simulation in the design of aging-friendly indoor space. Secondly, we use a color space algorithm and feature extraction algorithm to construct an aging-friendly design model based on a human-computer interaction algorithm. Finally, several elderly individuals’ preferences are examined and analyzed. The results show that more older adults request the design of three aspects, namely anti-slip measures, intelligent door lock and handrail, in the space design, accounting for 86%, 83% and 87%, respectively. These data were used to generate the final interface form suitable for most older adults.
Exploring the structure of micro topics in Chinese language and literature based on the fusion of multiple features
Authors: Zheng Yiqing 
Published: October 2023

Abstract
In this paper, firstly, the topic structure of the Chinese language and literature is explained, and the micro topic structure representation system is constructed by using the main statement bit structure theory and the main bit advancement model. Secondly, the word2vec network is used to extract the features of Chinese language and literature elements, and a multi-feature fusion classification recognition model is constructed based on SVM. Finally, the corpus was used to validate the example. The results show that the percentage of radial primary advancement pattern of micro topic structure is the highest and reaches 94.13%, and the recognition accuracy of SVM-based multi-feature fusion recognition classification model for micro topic structure is improved by 12.04%, 18.29% and 7.45% respectively compared with BTM algorithm, LDA algorithm and K-means algorithm.
Research on intelligent soccer teaching and training model integrating virtual reality technology
Authors: Su Meng 
Published: October 2023

Abstract
This paper utilizes virtual reality technology to enhance players’ skills and tactical awareness in a soccer training system. The article first designs a soccer training system incorporating virtual reality technology, which contains key technologies such as common stance representation of soccer actions, stance solving algorithm and fusion Hausdorff Pearson algorithm. Then, the effect of virtual reality technology on soccer training was analyzed, including the impact on overall performance and players’ tactical awareness, and finally, a comparative analysis of the experimental and control groups was conducted. The results showed that the overall performance of the experimental group in the post-test was 22.08±6.37, and the overall performance of the control group in the post-test was 16.82±5.21. Regarding offensive passing and awareness of running without the ball, there was a significant difference between the experimental and control groups at P<0.05. Regarding co-defense complementary and convergence awareness from offense to defense, there was a highly significant difference between the experimental and control groups, with p<unk>0.01.
Research on the construction of intelligent dance teaching ecosystem in universities based on multi-data chain network
Authors: Zheng Xuan 
Published: October 2023

Abstract
In this paper, the Link16 data chain is used to cycle dance movement teaching resources by time and build the function of different nodes of dance teaching to form a distributed network topology without a central node. The network synchronization method integrates and updates the latest dance teaching resources. The MSK demodulation method is used to regulate the multi-data network information, and the network synchronization sequence is constructed by setting the relevant performance of the synchronization code and the judgment threshold. The motion error optimization algorithm reduces motion errors during high-speed dance. The results show that the variance of each classroom in the dance ecological teaching system is within 0.40, with minor fluctuations. In the evaluation results of the three evaluators, the scores of scientific knowledge were all 5, and the scores of ability, attitude and value were slightly different, but the variance of the total score and each index was under 0.10.
Research on the mechanism of digital economy to enhance the innovation efficiency of high-tech industry in the context of big data
Authors: Tan Jing 
Published: October 2023

Abstract
Investigating how the digital economy can improve the innovation efficiency of the high-tech industry in the context of big data. This study uses a three-stage DEA technique to measure the innovation efficiency of high-tech businesses. The index system is created by selecting innovation inputs and outputs and adjusting them with exogenous environmental factors. A thorough and organized method for evaluating digital economy indices has been developed, and weights are allocated to the indexes based on spatial autocorrelation. In the end, the Tobit model is utilized to investigate the impact of the digital economy’s growth on the innovation capacity of high-tech industries. The innovation efficiency of high-tech sectors is positively influenced by the digital economy index, increasing by 0.2102% for every 1% increase. The digital infrastructure regression coefficients for the eastern, central, and western areas are 0.00045, -0.0015, and 0.00076, respectively.
Feasibility study of deep learning based on data-based e-commerce operations
Authors: Yue Haohao 
Published: October 2023

Abstract
In this paper, we first study data-based e-commerce operation from the big data perspective and elaborate on data-based e-commerce operation from four aspects: professional terminology, operation core, theoretical operation basis, and operation method. Secondly, in the process of e-commerce data-based operation sales prediction, data pre-processing and feature selection are required, and the quality of data and features directly determines the accuracy of the model and based on deep learning, the structure of convolutional and XG fusion prediction model is proposed. Then, three-dimensional data frames are constructed based on four-dimensional data facets, which leads to more accurate model predictiveness, and the prediction model and e-commerce financial and operational risks are studied and analyzed. The results show that the convolutional and XG fusion forecasting model has a greater efficiency enhancement function than the traditional data computation model in the practical application of the forecasting model, proving the model’s stability in the long-term forecasting process. By predicting risk in e-commerce operations in time and improving it in real-time, this study can help the enterprise develop more competitively.
Design and implementation of student work management system in the context of deep learning
Authors: Sun Qiang 
Published: October 2023

Abstract
This paper aims to analyze and design the system’s functions by student work management requirements, focusing on the business and user modules. The security testing algorithm based on the deep learning model verifies the system’s operation, analyzes the adversarial sample attack in image and text scenarios, and uses a black-box-white-box attack algorithm and defense algorithm for system security testing. Perform environment testing, compatibility testing, data response performance testing, and instance model evaluation for implementing the student work management system. Less than 500ms is the response time, over 400 requests are processed per second, and the timeout response rate is below 5%. The security evaluation coefficient was 66.982 for Example Model I and 74.628 for Example Model II, showing the system has good loadability and security.