bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Analysis of the Acceptance of SPOC Teaching Models in Foreign Language Courses in Colleges and Universities
Authors: Peng Fang , Bian Yuzhu 
Published: May 2024

Abstract
SPOC teaching effectively integrates online and traditional education, significantly enhancing the quality of basic education. In this study, we first conducted a 6-week teaching practice of SPOC mode, and then constructed an acceptance analysis model of SPOC teaching mode in foreign language courses in colleges and universities on the basis of UTAUT, defined the variables and measurement dimensions, and put forward four research hypotheses. A questionnaire is conducted for the students who use SPOC mode foreign language classroom in a university, and the relevant data obtained are subjected to exploratory factor analysis to construct the structural equation model that affects the acceptance. The research hypotheses were tested, and it was concluded that the p-values of the four paths were less than 0.010, with significant correlation, and all the paths showed positive and significant correlation, except for the significant negative correlation between effort expectation and intention to use. This study aims to conduct deeper research on the integration of the English SPOC teaching model to effectively and efficiently enhance students’ interest in learning foreign languages.
Innovative Development Path of Hands-on Ability Cultivation for College Students Combined with SPSS Statistical Analysis Modeling Based on Innovation and Entrepreneurship Education Orientation
Authors: Qi Xiaomeng , Chen Qi , Zhou Haijuan , Zhang Dongliang , Lu Liang , Huang Rong 
Published: May 2024

Abstract
In the context of China’s ongoing educational reform and the increasing diversity of employment options for college students, there is a growing emphasis on the practical skills of undergraduates. This study focuses on the development of these competencies, selecting a sample of 816 students from five universities to explore the requirements currently placed on Chinese college students. Utilizing factor analysis and ANOVA, we constructed a scale to assess the hands-on abilities of college students, as well as a scale for the influencing factors. The study was conducted using SPSS multiple linear regression to examine the correlations between the identified factors. The Hands-on Ability Scale consists of four primary indicators and 15 secondary indicators. Additionally, the analysis revealed that the influencing factors account for varying degrees of impact on key competencies: 23.4% on self-management ability, 13.3% on teamwork ability, 39.8% on innovation ability, and 25.5% on problem-solving ability. This study underscores the critical need for integrating practical skills training in the curriculum to better prepare students for the challenges of modern employment landscapes.
Parameter optimization of 3D printing process for ceramic sculptures
Authors: Shao Changzong 
Published: May 2024

Abstract
In this paper, for the problems of ceramic sculpture 3D printing process, such as the accuracy is difficult to predict and the process control parameters are difficult to choose, we propose to establish an accuracy prediction model using BP neural network optimized by particle swarm algorithm, and put forward the optimization algorithm of the printing process parameters based on genetic algorithm, and construct the fitness function by using the method of the weight coefficients, to achieve the search for the molding angle under the optimal surface quality and to improve the printing efficiency. In the simulation experiments of printing accuracy prediction, the average errors of dimensional error and surface roughness prediction of the PSO-BP network model proposed in this paper are 5.59% and 5.02%, respectively, and the prediction is accurate and reliable. In the 3D printing parameter optimization experiments, the average deviation of the Y and Z dimensions of the physical size printed with the optimized parameters is 0.0496mm and 0.058mm, respectively, which is smaller than the deviation before optimization. Parameter optimization has also reduced surface roughness in the molded parts of the porcelain sculpture. The extrusion head and hot bed temperature were adjusted to reach the temperature target after maintaining hollow finger precision within 3 degrees.
Emotional Characterization Mining in Music Performance and Its Guiding Role
Authors: Yan Jie , Hu Mingzhao 
Published: May 2024

Abstract
Emotional attributes are crucial in music performance, serving a pivotal role in guiding interpretation and execution. This study employs a Wavenet layer within a Waveform-Deep Neural Network (WLDNN) to extract emotional features from musical performances. An activation function is then applied to process and refine these features. Additionally, a Generative Adversarial Network (GAN) is utilized to identify and remove irrelevant features, thereby enhancing the quality of the emotional attributes extracted. The evaluation of these emotional features employs both music emotion language values and an emotion vector model. Our analysis demonstrates that this methodology achieves a 90% accuracy rate in identifying and extracting emotional features from music performances. Based on these findings, a stage lighting control system was developed, tailored to respond to the emotional cues within the music. The system was tested across ten different performances with a sampling frequency of 5 seconds, achieving an average synchronization rate of 94.01% with the emotional content of the music. This approach not only proves effective for stage lighting design but also offers valuable insights for enhancing the emotional expressiveness of musical performances.
Citespace-based Research on the Current Situation and Development Trend of the Art of “Sky Jumping” of the Zhuang on the Chinese-Vietnamese Border
Authors: Yang Feixue , Chen Wenying 
Published: May 2024

Abstract
China and Vietnam share both land and maritime borders, rendering the exchange and cooperation in ethnic arts along these frontiers crucial for their cultural evolution. This significance underscores the importance of organizing and analyzing the artistic expressions of the Zhuang people, particularly the “Tien Jumping” art form prevalent along the Sino-Vietnamese border. This study introduces an innovative method for text feature expansion utilizing Citespace, integrated with a deep learning-based text classification model, to establish a systematic framework for text classification within this cultural context. Furthermore, acknowledging the multidisciplinary nature of “Tien Jumping” art research, this paper develops a Citespace-based cross-collection system. This system harnesses a thematic network that amalgamates various disciplines to aggregate pertinent data efficiently. Empirical analysis validates the model’s robustness, evidencing an accuracy of 0.95, a recall of 0.87, and an F1 score of 0.91. The investigation into the current state and future trends of “Tien Jumping” research reveals a significant increase in publication volume, from 500 articles in 2013 to 1,108 in 2022— an increment of 608 articles. This growth highlights the strengthening focus on inheritance development, cultural preservation, and the artistry of the Zhuang people, with scores surpassing 7.5 in these emergent research areas. These findings affirm the effectiveness of the proposed methodologies in this study. The approach not only provides a rigorous analysis but also forecasts the trajectory of “Tien Jumping” art research along the Sino-Vietnamese border, offering a scientific foundation for future scholarly inquiries.
A Study of the Utility of Artificial Translation in English Reading Comprehension
Authors: Wang Shiyun 
Published: May 2024

Abstract
Human translation always has an incomparable role in the process of English learning, especially in the promotion of English reading comprehension. This paper centers on the research problem of selecting suitable research objects, combining questionnaire surveys and test methods to obtain relevant data on artificial translation and English reading comprehension. Then, it analyzes the correlation between the dimensions of artificial translation and the effect on English reading comprehension, constructs the multiple regression model of artificial intelligence on English reading comprehension, and proposes the corresponding significance test method. The results show that the correlation coefficients between the five dimensions of human translation and English reading comprehension scores are, in descending order: accuracy (0.824) > completeness (0.636) > fitness (0.579) > fluency (0.485) > consistency (0.372), which are all significantly positively correlated with English reading scores. The regression results showed that the level of manual translation dimension explained 26.7% of the variation in reading achievement. Among the human translation dimensions, accuracy, completeness, and consistency have significant positive effects on English reading comprehension. The study suggests that human translation accuracy, completeness, and consistency can be optimized to improve English reading comprehension.
The Construction of Online-Offline Blended Teaching Mode of Professional English Based on Java Web
Authors: Xu Mengyi 
Published: May 2024

Abstract
The “online + offline” blended teaching mode capitalizes on the Internet environment to seamlessly integrate traditional classroom instruction with online learning, representing a progressive trend in educational development. This study, grounded in Java Web technology, proposes a hybrid model for teaching professional English structured around three core components: preparation, instruction, and assessment. The model’s efficacy was assessed by devising a set of factors and rubrics to evaluate teaching quality, utilizing a fuzzy logic approach. Empirical validation was conducted using English majors from S colleges as participants. The overall teaching quality score was 87 points, meeting the established rubric standards, thus confirming the model’s applicability to professional English instruction. A controlled experimental analysis of students’ scores—pre-test, mid-test, and post-test—revealed a consistent improvement, with mid-test scores surpassing pre-test and post-test scores exceeding mid-test scores. This progression underscores the effectiveness of the Java Web-based online blended teaching model in enhancing students’ proficiency in English.
Research on Knowledge Graph Multiple Environment-Aware Recommendation Algorithm for Teaching Course Recommendation
Authors: Zhu Lina 
Published: May 2024

Abstract
With the rapid development of education informatization and intelligence, personalized teaching and course recommendations have gradually become an important research direction in the field of education technology. A knowledge graph, as a structured knowledge representation and organization, provides rich semantic information and a relationship network for teaching course recommendations. Based on this research background, this paper focuses on the research of knowledge graph multivariate environment-aware recommendation algorithms for teaching courses. The article firstly constructs the ontology of course resources, researches and analyzes the methods and steps of acquiring and processing data in order to build the knowledge graph, and then constructs the framework of the recommendation model combining multivariate perception in order to further analyze and explore the user’s course-aware representation learning and the user’s course-aware embedded learning. Embedded Learning, and finally, the teaching course of a school as an empirical study, it is shown that the performance of Ripple_mlp+ and Ripple_mlp in this article are higher than the benchmark algorithms through the experimental class and the control class of the pre and post-test scores have been sorted out and counted. The experimental students’ scores are steadily increasing, and the overall scores are better than the control class. In the experimental class, the significance value is 0.013, indicating that there is a significant difference between the midterm and final grades of the experimental class. Through the paired samples t-test on the midterm and final grades of the experimental class, after analyzing and comparing the midterm and final grades of students at different levels, it can be concluded that the t-value of the superior students is −3.326. The value of significance is 0.049, indicating that there is a significant difference between the midterm and final grades of the exceptional students. The T-value for intermediate students is −0.134, and the value of significance is 0.045, which indicates that there is a significant difference in the midterm final grades of intermediate students. The T-value of −1.623 and the value of significance is 0.534 for advanced students indicates that the difference in midterm final grades of advanced students is not significant.
The Practice of Intelligent Auxiliary Rib Equipment in the Flipped Classroom Teaching Mode of College Physical Education
Authors: Peng Xinxin , Wang Xue 
Published: May 2024

Abstract
This paper innovatively applies smart wearable devices to college sports flipped classrooms, using the photoelectric volumetric method to measure blood oxygen pulse and monitor heart rate during exercise, and realizing the calculation and measurement of exercise status by detecting the discrimination between peak exercise and normal exercise threshold. The sports-flipped classroom will improve the quality of physical education by using intelligent sports equipment to enable students to learn independently and teachers to guide them at the right time. The results show that there is a significant difference in the cognition of college students’ sports behavior in the duration of using smart wearable devices (P=0.044), and the frequency and time of using smart wearable devices will have a very significant impact on sports intensity (P<0.01). There were significant differences (P < 0.01) in height, 50-meter run, seated forward bend, and 800/1000 meters, and no significant differences in weight (P = 0.824), blood oxygen level, heart rate, and gait after smart device sports flipped classroom instruction. There were significant differences (P<0.05) in “novelty, negativity, attention, exploratory, enjoyment, and positivity” in the experimental group after the flipped classroom teaching of sports with intelligent devices, and the negativity showed a significant decreasing trend.
Collaborative Optimization Decision Support System for Biomass and Smart Energy Based on Virtual Power Plant
Authors: Wang Weirong , Chen Yangbo , Wang Zhongpeng , Li Jiawei 
Published: May 2024

Abstract
Energy is an important basic resource for the development of human society. This paper develops a decision support system for collaborative optimization of biomass energy and intelligence using biomass energy and smart energy management technology. Explain the various methods by which biomass can be transformed into usable energy for power plants. A smart energy management model is constructed using Internet of Things technology, and its performance prediction model is predicted using the gray prediction model. To study the optimal allocation of energy in the system constructed in this paper, the objective function and constraints are built using carbon capture technology, and the optimal allocation conditions of energy are calculated. After experimental analysis, it was found that in 2020, biomass energy power generation reached 29 million kilowatts, which was 020.1 million kilowatts higher than in 2015. The co-optimization strategy of biomass energy and smart energy constructed in this paper supports the energy utilization efficiency of the system to reach more than 60%. Compared to the traditional energy division system, the constructed system saves an annual cost of 52.71%. The payback period was shortened to 3.31 years, resulting in a net present value increase of 2.8991 million yuan. The energy synergy system’s power supply produces the least amount of carbon dioxide from an environmental perspective and has been stabilized at 50 kg.
Analysis of green art concept and interior design space utilization based on perception and behavioral association
Authors: Wu Fan 
Published: May 2024

Abstract
This paper summarizes 13 indoor space design indicators that affect perception and behavior from three aspects: physical elements, other elements, and spatial attributes. Then, through the K-means algorithm and FP-growth correlation rule algorithm, we obtain the user’s behavioral habit data and carry out the simple correlation analysis and curve estimation regression analysis of the user’s perception and behavior based on the indexes in turn. On this basis, it is proposed that the indoor space stay time factor of green art users and spatial perception have 10 highly significant correlation indexes with 0.01 boundaries (two-tailed). Under the quadratic function model of the time factor R2=0.3425, the width in the spatial scale and the significance of the time factor have a P-value of 0.0065. The peak value of indoor natural light intake of the neighborhoods adopting the green design is 2,667.3% higher than that of traditional neighborhoods on cloudy days. The cost is 2667.3951 more, but the green interior design that is based on perception and behavioral association is highly effective.
An Empirical Study on Improving Mathematics Application Skills of Engineering Students Using MATLAB Tools
Authors: Yan Junna 
Published: May 2024

Abstract
This paper discusses the implementation and application of MATLAB tools in the teaching of engineering majors so as to improve the quality of education and students’ mathematical application ability. Using the programming and GUI graphical interface design functions of MATLAB, the method of establishing the graphical user interface of the mathematical experiment module closely links the experimental content with the practical teaching of mathematical modeling. With the help of the operation functions provided by the system, we can set the experiment parameters and design the experiment interface ourselves to deepen our intuitive understanding of the mathematical content learned. After the pilot teaching in the mechanism major of University Z, 22 individuals failed to reach course objective 1, and 40 individuals were unable to reach course objective 2. The number of individuals passing the three lab reports increased continuously, from 40 to 57 in Class 1 and from 34 to 56 in Class 2. The math scores in the three exams improved significantly, and the distribution of the scores went from concentrating on scores below 60 to focusing on scores between 70–89. As a result, the teaching method for MATLAB tools application was effective.
Quantification of ecosystem service value and its guidance to land use strategy in Loess Plateau region: A case study of Qingyang City
Authors: Yang Yongchong , Bai Tieyan 
Published: May 2024

Abstract
Alterations in land use strategies significantly influence regional sustainable development, affecting ecosystem service functions, surface energy balance, and biodiversity. This study explores the impact of ecosystem service values on land use within Qingyang City, situated in the Loess Plateau. We employ an index system to assess ecosystem services at the Loess Plateau across four dimensions—supply, regulation, culture, and support. Utilizing physical and ecological value equivalent factors, we quantify these indices and the value of Qingyang City’s ecological service system. Specifically, the ecosystem equivalent factors for sloped cropland and terraced fields in Qingyang City are quantified as 1.1545 and 1.9788, respectively. Our findings reveal that ecosystem services significantly influence land use; notably, cropland and grassland, which collectively provide approximately 98% of climate regulation services, have experienced a reduction in their total climate regulation capacity by −14.19% and −9.42%, respectively, from 2010 to 2020. This reduction highlights a marked weakening in the climate regulatory capabilities of these land types, underscoring the need for Qingyang City to reassess and adjust its land use strategies to enhance the climate regulation service capacities of cropland and grassland.
Research on Graphic Visual Communication Design for User Perception Experience
Authors: Yuan Feng , Li Sen , Yang Bo , Liu Jianye 
Published: May 2024

Abstract
With the advancement of technologies such as big data, machine learning, and human-computer interaction, there has been a notable increase in the expectations for the perceptual experience offered by graphic visual communication design. This study builds upon existing research to define six principal layout features specific to graphic visual communication design and presents a formula for calculating these features. Employing HSV color space theory, we quantify color perception features and utilize a generative adversarial network to establish a model for generating graphic layouts. An example analysis is conducted to validate the model. Notably, except for Q3 (warm color percentage), where the significance level was not below 0.01, all other variables showed significance levels under 0.01. The seven perceptual features that emerged as most influential on user experience include cold color percentage (0.088), color contrast (0.223), color vibrancy (0.188), hierarchical richness (0.267), number of colors (0.088), number of color palettes (0.212), and number of patches (0.081). This research not only enhances the efficiency and quality of graphic visual communication design layouts but also significantly enriches the perceptual experience of users.
Reform and Effectiveness Assessment of Accounting Teaching in Colleges and Universities Based on Multi-source Data Mining
Authors: Zhang Mengwei 
Published: May 2024

Abstract
The growing discrepancy between the supply and demand of new accounting professionals underscores an urgent need for reform in the educational paradigms within higher education accounting programs. This paper introduces a comprehensive proposal for educational reform in accounting at the collegiate level, using ‘A school’ as a pilot site for our experimental teaching reform. Central to our methodology is the design of a multi-source data mining process, utilizing characteristics of educational information data. Employing the K-means clustering algorithm as a foundation, we further develop a Fuzzy C-Means (FCM) clustering algorithm to evaluate the impact of these pedagogical reforms. Subsequent to the reform, we collected and analyzed teaching data, establishing specific assessment metrics. The analysis, conducted via clustering, revealed significant improvements. Prior to the reform, the experimental class scored an average of 62.89, compared to the control class’s 63.05. Post-reform, the experimental class’s performance elevated to 74.57, while the control class saw a more modest increase to 65.14. This marked enhancement in the experimental class’s performance underscores the efficacy of the reform, aligning with our educational objectives, which anticipate an 80% qualification rate and a 42% excellence rate among accounting majors. This study not only advances the theoretical framework but also refines the practical approaches to cultivating accounting talent in collegiate settings. It offers valuable insights and serves as a reference for future reforms in accounting education at universities.