bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of English Teaching Quality Based on Hierarchical Analysis and Fuzzy Decision Tree Algorithm
Authors: Li Haifen 
Published: October 2024

Abstract
How to improve classroom teaching evaluation so that it can really play the role of guidance, motivation, and promotion of evaluation in the new classroom model is a problem that needs to be solved urgently. This paper first introduces the concepts of fuzzy hierarchical analysis and fuzzy comprehensive evaluation, defines the fuzzy judgment matrix, designs a multi-level fuzzy comprehensive judgment algorithm, and constructs a fuzzy hierarchical analysis-fuzzy comprehensive evaluation model. Then, the generalized fuzzy decision tree model is constructed to achieve a clearer and more effective hierarchical categorization of teaching quality evaluation indexes, and the teaching evaluation index system is established accordingly. Teaching quality evaluation is carried out in the English classrooms of three different teachers in a university, and it is found that the classification effect of this paper’s algorithm is better than that of other comparative algorithms in each evaluation index on the datasets FLAGS and BIRDS. In the university’s teaching quality evaluation validation for three English teachers, X, W, and Y, the comprehensive evaluation scores given by this paper’s method are 94.98, 85.92, and 73.32, respectively, which are in line with the actual teaching situation of the three teachers. This study provides new ideas and methods for reforming classroom teaching evaluation.
Nonlinear Modeling Analysis of Stabilization Behavior of Robotic Gait Control System Based on Image Processing Techniques
Authors: Shen Dawang , Zhang Hui 
Published: October 2024

Abstract
Existing robot gait control methods have problems such as high gait energy consumption and difficulty in generating optimal gait strategies. This paper designs a robot gait automatic control system based on the X86 platform and robot sensor interface. The main board of the robot controller is designed based on CISC, which ensures high stability and anti-interference capabilities. The information provided by ultrasonic sensors and infrared sensors is used to adjust and execute the robot’s trajectory, action sequence, and gait. To extract the target in the gait image, the frame difference algorithm is employed, and the phase and amplitude factors are collected after the Radon and Fourier-Mellin transform to identify gait characteristics for robot gait recognition. The robot’s two-dimensional spatial dynamics model is constructed continuously, and its dynamics equations are derived. The residual fusion technique is used to combine image data with sensor data. A system for stabilizing gait control has been designed. The tracking error rate of the robot is not more than ±10% in general, and a variety of gait patterns can be used to cross the obstacles, which verifies the effectiveness of the designed system for realizing the gait control and performance of the robot.
Research on the Impact of Digital Currency on the Operation Mechanism of Traditional Financial Markets and Countermeasures
Authors: Wang Qingzi 
Published: October 2024

Abstract
Both digital currencies and traditional financial markets are affected by inflation, interest rates, money supply, etc. In terms of price volatility factors, there are cross-asset linkages and risk transfer problems. In this paper, we use the DCCGARCH model to calculate the time-varying nonlinear correlations between different financial markets during different periods. Firstly, we construct a GARCH model for univariate return series and derive standardized residual estimates to determine the conditional insured value and spillover risk that financial markets encounter when the risk materializes. The linkage and shock relationships of BTC with the stock and spot gold markets over ten years are analyzed, as well as the impact of unanticipated events on financial markets. It is found that the short-term impact of digital currency price volatility on the stock market is much larger than the short-term impact of stocks on the gold market and that risks in the digital currency market may be rapidly transmitted to the stock market in the short term. Bitcoin and stocks have a dynamic correlation coefficient that fluctuates between -0.075 and 0.085, with little correlation. Stocks and Bitcoin have a positive correlation of 0.021, meaning that when the price of Bitcoin rises, it can lead to a rise in the price of stocks to some extent. The dynamic correlation coefficient between bitcoin and gold, on the other hand, fluctuates in the range of -0.275 to 0.175, which may produce large fluctuations. During the Cyprus crisis, gold and bitcoin demonstrated a significant investment transfer effect, and there was a contagion and linkage between market risk, the UK’s exit from the European Union, and the new crown epidemic. This paper provides a useful exploration of cross-market financial risk regulation and professional investor risk control.
Research on the Optimization of English Translation Teaching Mode in Colleges and Universities Driven by Knowledge Mapping
Authors: Zhao Yu , Yan Yunxia 
Published: October 2024

Abstract
Due to various factors, the effect of university English translation teaching cannot reach the expected situation. This paper introduces the attention mechanism based on a knowledge graph, builds a graph neural network translation model based on this model, and constructs an English translation teaching model centered on this model. The performance test of the graph neural network model is carried out, and by comparing with other models, it is found that the perplexity of the graph neural network model is only 1.4 with the increase of the number of steps, and the highest value of the graph neural network model is only 28s and the lowest value is 17s in different English translation scenarios. It shows that the graph neural network model has high operational efficiency. The study tested the teaching model based on a graph neural network model with 80 logistics management students, using test papers and analyzing the data using the SPSS 21.0 statistical tool. It was found that the mean difference between the scores of the two classes after the experiment was 4.5675, which is a large difference, and the P=0.045<0.05 obtained from the T-test, indicating that there is a significant difference between the scores of the experimental class and the control class in the post-test. Except for listening comprehension and reading comprehension, there is no significant difference in the test scores of the experimental class compared to the control class in other subjects. The teaching model that utilizes graph neural network translation can improve students’ English translation performance to a certain extent, as demonstrated.
Research on Cross-Cultural Digital Communication Strategy of Musical Theatre Dance Based on Pattern Recognition Technology
Authors: Sun Xiaomu , Chen Shi 
Published: October 2024

Abstract
The dissemination and development of musical theater promote each other; smooth dissemination can promote development, and comprehensive development can expand the time and space of dissemination. With the development of time, the effective digital communication strategy of musical theater has gradually become the direction of research. The study utilizes pattern recognition technology to combine sensors for action pattern recognition of musical theater dance and first develops a human motion model that meets the needs of musical theater dance action. The sensor system was designed and developed from three parts, such as acceleration measurement sensors, plantar pressure measurement shoes, and a data acquisition motherboard. On this basis, the pattern recognition method of this paper is combined with the musical to realize the improvement and optimization of the musical stage, and the digital communication strategy of the musical dance is proposed according to the audience communication model. The sensor-based pattern recognition method of this paper has reduced the average output error of accelerometers by another 60%, and the average output error of gyroscopes by 48% after the calibration of its sensors, and the recognition rates of the eight patterns oriented to the musical theater dance are all above 91%. Based on the digital communication strategy of this paper, the communication effect of the musical theater in the digital platform attention to the total number of people, the total number of viewers, and the revenue of the theater company increased by 150,000 people, 53,000 people, and 28,000 yuan, respectively. This study, based on pattern recognition of musical digital communication strategies in practice, achieved good results. It provides an effective path for the development and promotion of musical theater.
Design of innovative teaching methods for classical dance based on group intelligence
Authors: Tu Xiaoyi 
Published: October 2024

Abstract
Compared with image records, 3D dance scores can realize the demonstration and practice of classical dance teaching more accurately and efficiently. In this paper, the Li group skeletal representation model is used for Li algebra space mapping processing to learn action feature data, classify them, and complete classical dance action feature extraction. Then, the residual network model is used as the backbone network to construct a two-stream spatiotemporal residual network for action recognition by using two different temporal spans and fusing the results of the two-channel networks through side connections. Finally, the group intelligence algorithm group intelligence algorithm ACOR-SGD is designed to optimize the parameters of the convolutional neural network, and then the dance score generation model is integrated into the design of the innovative teaching method of classical dance for the application of the professional teaching of classical dance in colleges and universities. There is basically no significant difference between the pre-test scores of the experimental and control classes. After one semester of applying the innovative teaching method based on the generation of dance scores, the scores of the experimental class in the five items of basic pace mastery, movement fluency, stage presence, technical quality, and coordination of the music rhythm were improved by 4.6, 4, 4.28, 3.63, and 4.72 respectively, and the total score of 81.54 was much higher than that of the control class of 60.57 points posttest scores, and all were significant at the 0.01 level. This study explores innovatively and provides an effective path for integrating dance teaching with cutting-edge information technology, thus improving the quality and efficiency of dance teaching.
The Development and Application of Computer-Assisted Painting Technology in the Convergence of Art and Technology
Authors: Tao Beijing , Lei Jielan 
Published: October 2024

Abstract
With the development of computer technology, digital painting has become more and more mature, which makes the whole creative process of painting more convenient, efficient, and diversified. This paper first introduces the definition, development history, and application of digital painting. A computerized painting model is created using knowledge representation, and the basic unit of the painting model is described. The paintbrush consists of hair filaments, each of which has its color tone and strokes. The brush’s movements are a result of position, pressure, and color tone, while the picture is a collection of strokes. Geometric transformations such as translation, rotation, and scaling are applied to the geometric information describing the strokes. This approach enables the simulation of painting effects, including the creation of scratches, color diffusion effects, texture mapping, and mutations on the strokes. This paper’s model enhances the painting skills of art students in six dimensions, achieving an efficiency evaluation score of 93 and a quality evaluation score of 96 in the abstract painting style. This model meets the realistic requirements for the advancement of computer-aided painting technology in art creation at a high level.
Nutritional and Scientific Research on Chinese Culinary Foods Based on Big Data Analysis
Authors: Shi Shouji 
Published: October 2024

Abstract
The current Chinese cooking nutritional and scientific degree is not high. Chinese cooking technology has made it difficult to meet people’s health needs. This paper explores the path of nutritional scientificization in digital cooking. The FCM algorithm based on MapReduce has been found to have a good clustering effect and execution efficiency. Based on big data processing for fuzzy clustering application research, the samples are preprocessed using big data processing techniques to determine the functions in the sample descriptions. The data analysis is completed using Mapreduce-based parallelized FCM, and the rules for optimizing the objective function are given. The method proposed in this paper can efficiently and accurately complete the data analysis, as evidenced by examples. Residents can choose the cooking technique that best suits their nutritional needs by reducing the ABT antioxidant capacity and FRAP antioxidant capacity of coriander by 42.67% and 44.21% by boiling and high pressure. Big data analysis-based cooking techniques outperformed traditional cooking techniques in all dimensions, ensuring a balance between food flavor and health and wellness.
Research on the Path of High-Quality Development of Rural Tourism Empowered by Digital Economy
Authors: Li Liangping , Zhu Xia 
Published: October 2024

Abstract
The digital economy is a part of the current industrial reform that should not be ignored. Moreover, rural tourism is an important way to realize rural revitalization and common prosperity, and the correlation and interaction between the two are crucial to rural development. In this paper, we explore the interactive influence between the two, use the entropy value method, kernel density function, global spatial autocorrelation analysis, and other measurement methods to measure the comprehensive development level of the two, and accordingly establish the coupling and coordination model for the high-quality development of digital economy and rural tourism. The spatiotemporal characterization of the high-quality development of the digital economy and rural tourism in 30 provinces in China is carried out, and the coupled and coordinated development of the digital economy and rural tourism in 16 cities and towns in Yunnan Province is explored as an example, according to which suggestions for the corresponding development paths are put forward. The digital economy development index of China’s seven major geographic regions during the five years of 2019-2023 is the highest in South China (0.473) and the lowest in Northwest China (0.219). Southwest China (0.518) has the highest rural tourism high-quality development index value, while Northwest China (0.386) has the lowest value. The degree of coupling and coordination of digital economy and rural tourism high-quality development in Yunnan Province increased by 0.0903 during the 5 years. The coupling and coordination of digital economy and rural tourism high-quality development in Yunnan Province in 2014, 2016, 2018, and 2020 Moran index was -0.0885, 0.0916, 0.1527, 0.1729, with the Z-value showing an increasing trend and the P-value showing a decreasing Trend. The coordination between the digital economy and rural tourism development in Yunnan Province has improved.
Study on the Trend of Changes in Manufacturing Agglomeration and Its Influencing Factors in the Context of Digital Transformation
Authors: Quan Li 
Published: October 2024

Abstract
In the tide of the global entering into the era of the digital economy, digital innovation and transformation of the manufacturing industry has become a popular trend, which has become a key development trend to drive the global manufacturing industry to leap forward. Against this background, this paper utilizes the E-G index to accurately calculate the aggregation degree of 18 manufacturing industries in China from 2010 to 2023 and examines the trend of the aggregation degree of China’s manufacturing industry in the past 14 years. China’s macro time-series data is used to examine how each factor affects industrial agglomeration using a panel data regression model. It is found that the overall level of manufacturing aggregation in China has been on an upward trend over the period 2010-2023. Among them, technology intensity (0.00051), number of enterprises (0.95), regional consumer demand (0.13), and average enterprise size (1.05) have positive effects on the increase of industrial agglomeration, while local protectionism (-0.01) and openness to the outside world (-0.01) have negative effects on the increase of industrial agglomeration.
Hubungan Antara Psychological Capital dengan Keterlibatan Kerja Pada Karyawan Bank X
Authors: Munika Diah Pera , Mirza Mirza 
Published: October 2024

Work engagement is a positive motivational state, compliance, and outlook on work conditions that can be influenced by a person's positive conditions, such as psychological capital. This study aims to determine the relationship between psychological capital and work engagement in Bank X employees. The sample of this study was 54 employees of Bank X. Respondents in the study were selected using a nonprobability sampling technique, namely quota sampling. The collection of research data used Psychological Capital Questionnaire (PCQ) contains 24 statement items and Utrect Work Engagement Scale (UWES) contains 17 statement items that have been adapted into Indonesian. The data obtained were then analyzed using the Pearson correlation technique and showed a correlation result of r = 0.490, with a significance value of p 0.05). These results indicate that there is a positive and significant relationship between psychological capital and work engagement in Bank X employees. This means that the higher the psychological capital, the higher the employee's work engagement or vice versa.Keterlibatan kerja merupakan keadaan motivasional positif, kepatuhan, dan pandangan terhadap kondisi kerja yang dapat dipengaruhi kondisi positif seseorang, seperti psychological capital. Penelitian ini bertujuan untuk mengetahui hubungan antara psychological capital dengan keterlibatan kerja pada karyawan Bank X. Sampel penelitian ini adalah 54 karyawan Bank X. Responden dalam penelitian dipilih menggunakan teknik nonprobability sampling yaitu dengan quota sampling. Pengumpulan data penelitian menggunakan Psychological Capital Questionnare (PCQ) berisi 24 butir pernyataan dan Utrect Work Enggagement Scale (UWES) berisi 17 butir pernyataan yang telah diadaptasi ke dalam Bahasa Indonesia. Data yang diperoleh kemudian dianalisis menggunakan teknik korelasi Pearson dan menunjukkan hasil korelasi r=0,490, dengan nilai signifikansi p0,05). Hasil ini mengindikasikan bahwa terdapat hubungan yang positif dan signifikan antara psychological capital dengan keterlibatan kerja pada karyawan Bank X. Artinya semakin tinggi psychological capital maka semakin tinggi keterlibatan kerja karyawan atau sebaliknya.
Memahami Motif Melakukan Binge-Watching pada Mahasiswa Perempuan
Authors: Ummah Izzatul , Charnita Shafira Putri , Riyani Silvi Rahma Putri , Fadhila Nisrina , Khansa Siti Athaya , Riamanda Irin 
Published: October 2024

Binge-watching is the activity of watching multiple episodes of a TV series or drama consecutively without breaks. This activity leads individuals to spend long periods in front of screens, and research has shown that women tend to engage in it more frequently. This study aims to understand the main motives behind binge-watching behavior among female university students. A qualitative research approach using qualitative descriptive methods was employed through interviews with five respondents aged 18-22, who are female students at a university in Aceh. The results revealed several primary motives for binge-watching among female students. While each subject had different motives, stress relief and seeking entertainment were the main reasons for binge-watching. These findings provide a deeper understanding of binge-watching behavior among female students and highlight the need for further research on the impact of binge-watching on other aspects such as mental health and interpersonal relationships.Binge-watching merupakan aktivitas menonton beberapa episode serial TV atau drama berturut-turut tanpa jeda. Aktivitas ini membuat seseorang berada di depan layar dalam waktu yang lama, dan penelitian mengungkapkan bahwa perempuan lebih sering melakukannya. Penelitian ini bertujuan untuk memahami motif utama di balik perilaku binge-watching pada mahasiswa perempuan. Pendekatan penelitian yang digunakan adalah kualitatif dengan metode kualitatif deskriptif melalui proses wawancara kepada lima responden berusia 18-22 tahun yang merupakan mahasiswa perempuan di sebuah universitas di Aceh. Hasil penelitian menunjukkan bahwa terdapat beberapa motif utama mahasiswa perempuan melakukan binge-watching. Setiap subjek memiliki perbedaan motif, namun meredakan stres dan mencari hiburan menjadi motif utama mahasiswa perempuan melakukan binge-watching. Temuan ini dapat memperdalam pemahaman tentang perilaku binge-watching pada mahasiswa perempuan dan perlu dilakukan penelitian lebih lanjut mengenai dampak binge-watching pada aspek lain, seperti kondisi kesehatan mental dan hubungan interpersonal.
ОРГАНІЗАЦІЯ ПОЗАУРОЧНОГО ОСВІТНЬОГО СЕРЕДОВИЩА В ПОЧАТКОВІЙ ШКОЛІ РЕСПУБЛІКИ ПОЛЬЩІ
Authors: Білавич Галина , Вербещук Світлана , Борис Уляна 
Published: October 2024

Стаття присвячена проблемі організації позаурочного освітнього середовища в Республіці Польщі. Проаналізовано нормативну базу, яка регламентує створення форм позаурочної та позашкільної навчально-виховної діяльності. Ключовим нормативно-правовим документом, що регулює діяльність початкової освіти загалом та позаурочної і позашкільної освіти зокрема, є Закон “Про освіту”. Розглянуто зміст, форми, педагогічні умови створення позаурочного навчально-виховного середовища для здобувачів початкової освіти. Виокремлено проблеми в організації так званих загальних кімнат (“світлиця”, “денна кімната / зала”) як невід’ємного складника освітнього процесу школи.
ОСОБЛИВОСТІ ПЕДАГОГІЧНОЇ ДІЯЛЬНОСТІ ВЧИТЕЛІВ ОПОРНИХ ЗАКЛАДІВ – НАВЧАЛЬНО-ВИХОВНИХ КОМПЛЕКСІВ У РАМКАХ ДИСТАНЦІЙНОГО НАВЧАННЯ
Authors: Жукова Анна , Марчук Ірина 
Published: October 2024

У статті досліджено особливості педагогічної компетентності вчителів опорних закладів навчально-виховних комплексів, що виконують свою професійну діяльність в умовах дистанційної освіти. Актуальність статі полягає у вивченні педагогічної компетентності, яка виступає одним із головних чинників високої ефективності освітнього процесу під час дистанційного навчання. У сучасних умовах в нашій країні виникає особлива потреба в дистанційному навчанні. У зв’язку з модернізацією освіти та створенням опорних закладів виникає проблема вивчення впровадження у них дистанційної форми навчання. На базі Опорного закладу навчально-виховного комплексу “Загальноосвітня школа І-ІІІ ступенів – навчальний дошкільний заклад – позашкільний навчальний заклад – гімназія” ми провели дослідження особливостей роботи педагогів. Для цього було проведено-онлайн дослідження, за яким визначено основні форми взаємодії учасників навчального процесу під час дистанційного навчання. Ми дослідили форми роботи вчителів, аспекти удосконалення їх педагогічної майстерності. З огляду на спостереження та спілкування з працівниками опорного закладу освіти висвітлили основні моменти педагогічної діяльності в умовах окупації та в контексті дистанційного навчання.