bluuebunny/crossref_metadata_2025 huggingface dataset:
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.
High school students’ level of mathematics anxiety and use of self-regulatory learning strategies
Authors:   Balıkesir University, Institute of Science, Department of Mathematics and Science Education, Balıkesir (Turkey). E-mail: gamze_aykurtlu@hotmail.com, GÜRSEL Gamze , DIKKARTIN ÖVEZ Filiz Tuba ,   Balıkesir University, Necatibey Faculty of Education, Department of Mathematics and Science Education, Balıkesir (Turkey). E-mail: f.tubadikkartin@gmail.com, ÖZTÜRK Gülcan ,   "Balıkesir University, Necatibey Faculty of Education, Department of Computer Education and Instructional Technology, Balıkesir (Turkey). E-mail: ozturkg@balikesir.edu.tr"
Published: October 2023

"We aimed to examine high school students’ level of mathematics anxiety and use of self-regulatory learning strategies as a function of different variables and to examine the correlation between these variables. The sample consisted of 330 students at 11th and 12th grades from three different high schools in the west of Turkey. We used the Revised Mathematics Anxiety Rating Scale, Self‐Regulatory Strategies Scale, and a personal information form. We found that female students’ level of mathematics anxiety and use of self‐regulatory learning strategies were higher than male students. Moreover, we found that 11th grade students had higher mathematics anxiety than 12th grade students and that there is a significant difference in students’ level of mathematics anxiety by mathematics achievement. In contrast, use of self-regulatory learning strategies did not demonstrate a significant difference by mathematics achievement scores. We found no correlation between students’ level of mathematics anxiety and use of selfregulatory learning strategies."
The graceful teacher: the choice of volunteering
Authors:   University of Oradea, Oradea (Romania), carmen_berce@yahoo.com, BERCE Carmen , LAURIAN-FITZGERALD Simona ,   University of Oradea, Oradea (Romania), mmonalaurian@yahoo.co.uk, FITZGERALD Carlton J. ,   New England College, Henniker, NH (USA), cfitzgerald@nec.edu
Published: October 2023

"During the 2022 and 2023 school year, a group of eight college professors, 67 university education students, 27 primary school teachers and principals, and 200 primary school students participated together in a project titled, The Caravan of Friendship and Games. During the year, students suggested that they should also work with the elderly. Consequently, the project team added visitation to facilities for the elderly which included 240 elderly people. From the analysis of the survey data, the professor team realized that volunteering was not only beneficial to young students and the elderly people, but the data also revealed that the volunteers (university professors, university students, primary school teachers and principals) benefited from their efforts in the project. Showing once again that when people volunteer, they enter into a reciprocal beneficiary relationship—that one might call the ultimate win-win situation."
A Research on Mathematical Epistemological Beliefs and Mathematics Motivation of High School Students
Authors:   Aydınlıkevler Anatolian High School, Ankara, Turkey. E-mail: bakirnursebnem@gmail.com, BAKIR Nur Şebnem , GÜLŞEN TURGUT İlknur ,   "Faculty of Education, Kütahya Dumlupınar University, Kütahya, Turkey. ilknurgulsen@gmail.com"
Published: October 2023

"This research aimed to investigate the relationship between mathematical epistemological beliefs and the mathematics motivation of high school students. The survey model was employed in the research. Four hundred twenty-four high school students constitute the study group from public high school. Data were collected through the “Mathematics-Oriented Epistemological Belief Scale” and the “Mathematics Motivation Scale.” The Mann-Whitney U and Kruskal-Wallis H tests were used to analyze the data. The findings showed a significant positive relationship at a moderate level between the belief that learning depends on effort with motivation, a weak and negative significant relationship between the belief that learning depends on ability with motivation and a negative and insignificant relationship between the belief that there is only one truth with motivation. The mathematical epistemological beliefs and mathematical motivations of high school students differ statistically in terms of gender, mother's education level, and daily studying time. However, they do not differ statistically regarding out-of-school support, technology, internet use, class level, father's education level, or perceived income level."
A case study of implementing engineering design process to build a “controllable switch instrument”
Authors:   Ağri İbrahim Çeçen University, Ağrı (Turkey). E-mail: nilokur7@hotmail.com, OKUR AKÇAY Nilüfer , AKKUŞ ÇİTFÇİ Ezgi ,   Ağri İbrahim Çeçen University, Ağrı (Turkey).
Published: October 2023

"STEM education serves to prepare a workforce in which integration of scientific information as well as technological literacy are becoming more and more widespread. Important skills for success in the twenty-first century include critical thinking, problem solving, creativity, cooperation, self-directed learning, scientific environmental and technological literacy. In this study, primary school teacher candidates used a STEM activity, following the engineering design process. The case study, a qualitative research approach, was used in this study. The participants in the study were thirty primary school teacher candidates from second class at university. This study used audio and video recordings and engineering design notebooks as data collection tools. The engineering design process as a context for developing science, mathematics and technology concepts was used. An electrical engineering activity requiring students to design and build an electrical instrument to control the current intensity was created. This activity has been determined in an engineering context where students were introduced to the work of electrical engineers, such as designing basic electric circuits and using different electrical tools. As a result of this research, primary school teacher candidates had an opportunity to experience engineering design-based science education focused on electricity saving, which is a problem they may encounter in real life and also results demonstrated that the adjustable wrench designed by primary school teacher candidates changes the bulb's brightness. "
Analyzing the meanings that fourth grade elementary school students assign to the four operation symbols and their forms of representation
Authors:   Mehmet Zeki Obdan İlkokulu, Republic of Turkey Ministry of National Education, İstanbul, Turkey, DEMİRTAŞ Berat ,   beratdemm@gmail.com, IŞIK TERTEMİZ Neşe ,   Gazi University, Ankara, Turkey; netertemiz@gazi.edu.tr
Published: October 2023

"The aim of this study is to reveal the meanings that fourth grade students in elementary school attach to the four operation symbols (+, -, x, :) that are abstract, in different representations. The pattern of the study is a case study of qualitative research methods. In the study, the evaluation tool developed by the researchers was applied to elementary school fourth grade students. It was tried to present the situations of writing a mathematical sentence and expressing terms, formulating a problem, displaying the problem with a figure/diagram from students related to the symbols (+, -, x, :) for four processing skills. Based on the findings obtained in the study, it is seen that students attach concept and operation meanings to four operation symbols (+, -, x, :), create more routine word story problems related to symbols, and are more successful in writing a mathematical sentence appropriate for the problem they are writing than drawing a figure/diagram. In addition, it can be said that students made mistakes throughout the process from a linguistic point of view in terms of; using punctuations correctly, writing letters, numbers, units and expressions correctly, naming terms, and legible and understandable writing."
Promoting and hindering factors in mathematics teaching in South African high schools
Authors:   University of Pretoria, Pretoria (South Africa). E-mail: steyn.mokgwathi@gmail.com, Mokgwathi Mathelela Steyn , Graham Marien Alet ,   "University of Pretoria, Pretoria (South Africa). E-mail: marien.graham@up.ac.za", de Villiers Johannes Jozua Rian ,   University of Pretoria, Pretoria (South Africa). E-mail: rian.devilliers@up.ac.za
Published: October 2023

"This study explores what factors enable or prevent South African educators from carrying out effective mathematics teaching. The objectives are to explore the qualifications and experience of those involved, which skills, tools, and resources they use and what barriers they encounter. A qualitative approach using an interpretivist paradigm with multiple case studies was used. Eighteen participants were interviewed, and the data were analysed using qualitative content analysis. Findings showed that the barriers impeding effective mathematics teaching included lack of resources, teachers leaving the profession and many principals not attending workshops or professional development programmes. From the findings, we recommend the Department of Basic Education encourage more teachers to specialise in mathematics and that more funding is directed toward allocating the necessary resources to schools where resources are lacking. The department can provide incentives to encourage more student teachers to pursue mathematics teaching. "
Comparison of Turkish Pre-Service Science Teachers and Secondary School Students within the Scope of Natural History Topics
Authors:   Balıkesir University, Department Of Biology Education, (Balıkesir) Turkey. Email: ozaydinserap@gmail.com, ÖZ AYDIN Serap , ŞAHİN Selin ,   Balıkesir University, Department Of Biology Education, (Balıkesir) Turkey. E-mail: selinfen83@gmail.com
Published: October 2023

"Natural history includes the period from the formation of the Earth to recent times and all the changes it has gone through throughout this vast period. The biggest challenge in understanding natural history is the age of the Earth. Even though natural history is quite difficult to understand, pre-service science teachers are expected to be knowledgeable about this matter to a fundamental degree. Therefore, this study aims to determine the knowledge levels of secandary school students and pre-service science teachers on some natural history topics and compare compare these two groups in this context. . To conduct such research in which a qualitativenatured case study design was used, the data obtained through 15 open-ended questions were analyzed through content analysis. As a result, percentages of correct answers regarding the time perception component were quite low both for secaondary students and pre-service science teachers. While both groups were close in the component of the transformation of the Earth, it was founden that students answered more questions correctly. As expected, pre-service teachers correctly answered more questions regarding the component of diversity of living things than the students."
Climatic data comparison between mid-latitude Azores (North Atlantic) and Tristan da Cunha (South Atlantic) islands
Authors:   Babeș-Bolyai University, Faculty of Geography, Centre for Regional Geography, Cluj-Napoca, 5-7 Clinicilor Street, e-mail: raularian.rusu@ubbcluj.ro, RUSU Raularian
Published: October 2023

"The Azores islands in the North Atlantic and the Tristan da Cunha islands in the South Atlantic are approximately located at the same latitude, stretching between 36 and 41 degrees North and South respectively. Nevertheless, there are important climatic differences between the two archipelagos. The average annual temperature is higher in the Azores by more than 3 degrees, while the amount of precipitation is higher in Tristan da Cunha by about 600 mm/year on average. The warmer climate of the Azores may be explained by several contributing factors, such as: the smaller distance to the nearest continental landmass – less than 1500 km, compared to more than 2700 km in the case of Tristan da Cunha; the land mass of the islands themselves, as the Azores are much larger; the location of the Azores in the area of the North Atlantic High, with more stable weather and a higher amount of sunshine hours compared to the Tristan da Cunha islands, where westerlies prevail; and, not in the least, the influence of the Gulf Stream in the case of the Azores. The larger amount of precipitation in the case of Tristan da Cunha islands is due to their location on the southern flank of the South Atlantic High, which causes a higher degree of cloudiness and therefore more precipitation. The altitude is also a factor, as both archipelagos feature volcanic mountains rising above 2000 metres, providing a barrier for the air masses and determining orographic precipitation, especially on the windward side of the islands. The climate has had an impact on the settlement and human life on the islands. The Azores were settled immediately after their discovery in the 15th century and there is a rich social and economic life ever since. By contrast, the small community on Tristan da Cunha main island was formed only in the 19th century and has endured many hardships. Keywords: climatic comparison, Azores, Tristan da Cunha, average temperature, precipitation."
Equidad con calidad en la educación del estudiantado de la Universidad de Costa Rica
Authors: Gómez-Díaz David
Published: October 2023

Este estudio examina las perspectivas del estudiantado sobre las acciones de equidad con calidad en la Educación Superior en la Universidad de Costa Rica. Fue realizado a partir del análisis de las respuestas a un cuestionario, de acuerdo a un modelo que considera cuatro estadios de desarrollo progresivo en la organización institucional. La equidad implica la creación de estructuras destinadas a proporcionar una variedad de recursos, modelos, programas y estrategias educativas adecuadas a las necesidades particulares de los estudiantes. Pretende mitigar los efectos de la discriminación estructural en que se desarrollan los individuos en un sistema social injusto. Abordar las causas profundas de la desigualdad requiere un esfuerzo colectivo para un trato diferenciado, pero no preferencial. La educación es un escenario clave para ello. El objetivo del estudio es identificar y evaluar las etapas específicas por la que atraviesa la institución universitaria seleccionada para eliminar las barreras que obstaculizan una mayor equidad e inclusión dentro del cuerpo estudiantil. Los resultados de una encuesta aplicada a 214 estudiantes muestran que la universidad se encuentra en transición entre los estadios 2 y 3, de modo tal que, a pesar de los esfuerzos realizados, todavía aparece como un espacio que necesita mejorar.
Peran Media Sosial terhadap Strategi Pemasaran dalam Meningkatkan Penjualan Pada CV. Bintama Makmur Paciran Lamongan
Authors: Wahyuningsih Yulie , Sari Finna Puspa , Wulandari Nisa Ananda , Wulandari Nisa Ananda , Deviani Ery Shofia , Deviani Ery Shofia
Published: October 2023

Untuk lebih memahami CV. Pendekatan pemasaran Bintama Makmur Paciran Lamongan, penelitian ini akan mengkatalogkan dan mengkaji banyak taktik yang telah digunakan perusahaan di masa lalu. Iklim bisnis saat ini ditandai dengan maraknya teknologi pemasaran bisnis, seperti penggunaan media sosial sebagai media promosi. Informasi disebarluaskan, daya tarik produk dibangun, volume penjualan ditingkatkan dan dipertahankan. Subyek penelitian ini adalah para karyawan dan pekerja CV. Penelitian ini dilakukan di Bintama Makmur Paciran Lamongan, dan jumlah sampelnya adalah 22 orang. Hal ini mengarahkan kita untuk memilih strategi pengambilan sampel jenuh. Penelitian ini memiliki hubungan tiga arah antara strategi pemasaran (X), penjualan (Y), dan media sosial (Z). Metode pengumpulan data rinci perangkat lunak IBM SPPSS statistik 26 digunakan untuk analisis data penelitian ini (1) wawancara, (2) kuesioner, dan (3) dokumentasi. Penelitian strategi pemasaran untuk mendongkrak penjualan menunjukkan bahwa taktik tersebut berkontribusi signifikan terhadap pertumbuhan CV. Lamongan, Bintama Makmur Paciran. Tetapkan tingkat signifikansi sig 0,000 0,05 untuk ini. Nilai Thitung sebesar 2,065 juga lebih signifikan dibandingkan dengan nilai Ttabel sebesar 2,07387. Data menunjukkan bahwa media sosial berdampak besar terhadap pertumbuhan penjualan CV. Lamongan, Bintama Makmur Paciran. Nilai sig sebesar 0,0000,05 menunjukkan hal tersebut. Selain itu selisih nilai Thitung dan Ttabel lebih besar yaitu sebesar 2,07387.Kata Kunci: Media Sosial, Strategi Pemasaran, Produk, Harga, Promosi, Tempat, Peningkata Penjualan.
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

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

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

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

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

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

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

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

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

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

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

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 p0.01.
Research on the construction of intelligent dance teaching ecosystem in universities based on multi-data chain network
Authors: Zheng Xuan
Published: October 2023

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

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

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

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.
The Historical Evolution of Marxist Ideas on Civic Education Based on the Cognitive Mapping Construct
Authors: Liu Lu
Published: October 2023

In today’s rapidly changing society, exploring the historical evolution of Marxist ideology in Civic Education can provide a more comprehensive understanding of the subject. In this paper, oriented to Civic Education, we use crawlers and other related technologies to obtain a Civic Text Corpus and complete the acquisition of Civic entities based on the BiLSTMCRF model for its annotation and collection. The acquired entities are divided into unstructured and semi-structured data, and the former is used to extract the relational triad by crawling technology, while the latter is obtained with the help of dependency syntactic analysis. Based on the analysis of the constructed cognitive map of Civic Education, the word “construction” in Marxist Civic Education in the 21st century has the highest degree of enthusiasm, reaching 0.191, followed by “student”, with a degree of enthusiasm of 0.150.
Research and application of intelligent information processing system in power hierarchical control
Authors: Yang Guang , Gu Hong
Published: October 2023

In this paper, we propose a distributed secondary FM control method for microgrids to address the problem that the operating cost of microgrids increases significantly under load dropout and use the consistency algorithm to make the system reasonably distribute the load power to re-achieve the stable state. In the actual microgrid, the communication delay discusses the influence of information transmission and system stability. Simulation experiments are used to verify and set different convergence coefficients to obtain a suitable range of convergence coefficients. Then, the microgrid economic power allocation algorithm was used to describe the operating cost of microsources and limit the generator output power of the microgrid system to obtain the microgrid economic power allocation values. The cost amount of MG1 is $1327.3 in the equal micro-increase rate consistency calculation. The control condition test reduced 73.14 kWh in the overall load outage of intelligent microgrid control. The power system’s efficiency can be improved through a control method using intelligent information processing.
Innovative development of music education model in universities under stochastic process model analysis
Authors: Wang Xiaoning , Zhang Dajun
Published: October 2023

Based on the analysis of random phenomena, random variables, and random processes, this paper constructs a Markov chain-based model for evaluating the effectiveness of music teaching using Markov chains. Aiming at the core literacy of college music education, a new education model is proposed to cultivate students’ comprehensive music literacy and transform the method of college music education. Traditional evaluation methods and the Markov chain model are used to analyze data examples for the new model of music education. The probability of transferring the number of students whose first score was on the 89.9-80 scale to the 100-90 scale was 0.5115, greater than the probability value of 0.3650 for those still on the 89.9-80 scale. The transfer matrix of the experimental class was shifted to the left as a whole, indicating a high degree of student progress.
Research on the application of virtual reality technology for interactive experience in interior design
Authors: Zhang Ying
Published: October 2023

First, This paper quantifies and ranks each constituent element using two methods of interior interaction design: extraction and weight determination. Secondly, the interaction experience mechanism of the scene space is proposed based on the user’s interaction behavior and feedback in the virtual reality interaction mechanism of Bayes’ theorem. The positioning of the virtual scene and the transformation of the user’s perspective in virtual reality are achieved through human spatial location mapping and the field-of-view range approach. The results show that in the virtual environment, the mean satisfaction value for the designer’s top view presentation is 5.876, the mean usability value is 22.52, the mean satisfaction value for the first view presentation is 4.929, and the mean usability value is 19.50. This paper provides new ideas and methods for the application of virtual reality technology in the field of interior design by providing a variety of interaction methods and immersive experiences for interior designers.
Analysis of the adaptability of constructing a system for helping poor students in colleges and universities in the context of big data
Authors: Xu Gaochao , Hui Jie
Published: October 2023

This paper first analyzes the procedure process and needs of identifying poor students in colleges and universities and constructs a working system to help them. Secondly, it analyzes the evaluation process of the comprehensive system for assisting poor students and constructs an evaluation index system for their aid work. Then, the fuzzy comprehensive evaluation was established to comprehensively evaluate the work of poor students’ aid, and the results were tested using the EDA model. Finally, the quantitative analysis of index weights and satisfaction was conducted with the example of H University. The results showed that, from the index weights, the index weight of the identification of poor students was the largest, 0.3294, and the weights of the construction of rules and regulations and work effectiveness were the smallest, 0.0838 and 0.0178, respectively.
Construction of a digital economy accounting system based on statistical analysis methods
Authors: Wang Canxiong
Published: October 2023

For a long time, the economic field has not been able to establish a more unified accounting standard for the digital economy. In this paper, the concept of an input-output table is introduced for the digital economy, and an input-output model for the digital economy is established based on three different types of equilibrium relationships with three types of input-output correlation coefficients. With the help of the demand-side statistical model based on the direct consumption coefficient and the supply-side statistical model based on the direct distribution coefficient, and through the determination of the conversion coefficient matrix, the construction of the accounting system of the digital economy is completed. Based on the statistical analysis method, the added value of “digital industrialization” reached 4,922.23 billion yuan in 2018, and the added value of “industrial digitization” was 5,076.04 billion yuan, and the total added value of digital economy reached 9,998.27 billion yuan in 2018. The digital economy’s total value added in 2018 amounted to 9,998.27 billion yuan, roughly 15 times the value added by the digital economy in 2005.
Analysis of ice and snow tourism service quality improvement strategy based on grey correlation model in the perspective of sharing economy
Authors: Xu Changgui
Published: October 2023

The evaluation model and index system of ice and snow tourism service quality are derived from this paper’s perceived evaluation of ice and snow tourism service quality. The TOPSIS ideal solution ranking method is improved using the entropy power method, and the entropy-TOPSIS-grey correlation model is jointly constructed to evaluate the ice and snow tourism service quality by introducing the grey correlation model. To verify the validity of the evaluation model, a quantitative analysis of the data was conducted through examples. The results show that the perception evaluation scores of transportation, tour, catering, shopping, accommodation and service are around 4, and the comprehensive posting progress of transportation, tour and catering are 0.623, 0.584 and 0.557, respectively. Thus, it indicates that the service quality of ice and snow tourism needs to be improved in various aspects, such as transportation, tours, and catering.
High-resolution art recognition of modern packaging design and images based on texture image classification
Authors: Shi Jun
Published: October 2023

First, this paper proposes the EPNN algorithm to recognize the high-resolution art of texture images. Then, a multi-scale multivariate image analysis method for color-textured surface classification is established. Regarding probabilistic neural networks, a differential evolutionary algorithm is proposed to optimize the smoothing parameters of basic probabilistic neural networks. Texture feature extraction involves extracting energy and statistical features of texture images using tree-structured wavelet packet decomposition and statistical-based methods. The image classification is performed by estimating similarity distances and classifying typical feature clusters. The results show that in terms of recognition ability, the proposed EPNN in this paper achieves an average improvement of 0.216 in CCP compared to the LBP method. In terms of classification ability, the proposed multi-scale multivariate image analysis color texture surface classification method in this paper generally achieves more than 10% higher classification ability than LGP in CUReT and Outex texture image libraries.
Studying the role of English and American literature in the dissemination of digital health concepts
Authors: Niu Xiaohong
Published: October 2023

This paper first analyzes the implementation of digital health education in English and American literature descriptively, based on the principles and characteristics of language art in English and American literature. Then, based on the word vector model, the CBOW model and Glove model are proposed for assigning weights to words with different occurrence frequencies, followed by linear splicing of word vectors and their additional feature vectors in sentences into final word vectors fed into the semantic analysis model, thus eliminating the phenomenon of illegal labels being predicted, improving the accuracy of semantic analysis prediction, and empirically analyzing English and American literary works under the concept of digital health analysis. The results showed that on digital health, the mean value of students’ evaluation of their mental health status in class 4 increased from 2.88 in the pre-test to 3.48 in the post-test, and the overall evaluation scores of mental health status were on an upward trend. For the model performance analysis, AvgPool’s summation and averaging of all features in the pooling domain can retain more linguistic information and reduce the training parameters to improve the model performance further. This study explores the concept of digital health in English and American literature to improve one’s cultural literacy.
Path analysis of financial assistance to business development by applying coupled coordination degree model
Authors: Lin Xin , Chen Gaoxiang
Published: October 2023

The interaction between financial assistance and enterprise development is examined in this paper by constructing a coupled coordination degree model. The weights of the secondary indicators in the financial assistance and enterprise development system are calculated using the entropy weighting method. By calculating the coupling degree between financial assistance and enterprise development, we can judge the strength of the coupling effect between them and the time interval. The financial system and enterprise development evaluation indexes were constructed to explore the factors affecting financial assistance for enterprise development. Under certain conditions, financial support and enterprise development can positively affect each other, as shown in the results. The development support weights in the financial support system are 0.1979 and 0.2231, and the total weight is 0.421. The enterprise development system has a technical weight of 0.5806 for technological innovation.