bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Application of Blended Teaching Model in Practical Teaching in the Context of Big Data
Authors: Tian Juanjuan 
Published: May 2024

Abstract
Under the tide of education informatization, the organic combination of information technology and teaching and the innovation and exploration of online and offline blended teaching modes have attracted wide attention. This paper innovatively proposes a three-phase hybrid teaching model of pre-course pre-study, classroom teaching, and post-course consolidation and explores its application in practical teaching. Specific to a university’s comprehensive practice course as an example, selected traditional practice teaching control class and the application of hybrid practice teaching of the experimental class for comparison experiments, respectively, before the experiment, during the experiment, and after the experiment to test the students’ comprehensive practice scores, and after the experiment on the students of the mode of application of the effect of the questionnaire after the application of the blended mode of teaching, 95% of the students on the mode of approval, 83% of the students in the positive performance in this mode of teaching. The experimental class’s comprehensive practice level increased by 32.81%. It is concluded that the blended teaching mode not only can effectively mobilize students’ learning enthusiasm but also has a positive effect on students’ practical ability.
Spatio-temporal evolutionary analysis of ecological economic resilience in typical Chinese tourist cities
Authors: Zhao Jing 
Published: May 2024

Abstract
In recent years, China’s tourism sector has experienced rapid growth. Ecological economic resilience, a crucial metric for assessing urban comprehensive strength, has increasingly garnered attention from academics and governmental bodies. In this study, we assess the resilience of tourism cities’ ecological economies using 28 selected indicators. By employing the entropy value method, we establish the weights for these indicators, facilitating an exploration of their temporal evolution. Spatial evolution characteristics are examined through spatial autocorrelation analysis, incorporating the global Moran’s I index. Utilizing a coupled coordination model, we calculate the ecological, economic resilience, and urban tourism development levels across various cities. Our findings indicate a significant increase in ecological resilience, rising from 0.2129 in 2014 to 0.2807 in 2023. The Moran’s I index rises from the trough value of 0.0532 to the peak value of 0.0951 and then steadily declines to 0.0738, presenting a fluctuating trend of alternately increasing and decreasing development. The coupling coordination degree is more significant than 0.5 in 2023, which is at a highly developed stage. This study serves as a reference for the sustainable development of urban tourism.
Research on the Continuous Protection and Development of Traditional Villages in Western Yunnan in the Context of the Internet Era
Authors: Li Jiangli 
Published: May 2024

Abstract
Traditional villages are facing many development dilemmas and problems, for this reason, this paper proposes to use hierarchical analysis to study the continuous protection and development of traditional villages in western Yunnan. Combined with China’s national conditions and the actual situation in western Yunnan, it points out the conditions for the contiguous protection and development of traditional villages. According to the principle of evaluation system construction, the evaluation standard system for contiguous protection and development of traditional villages in western Yunnan is determined. To eliminate the influence of indicators on the evaluation results, the relevant indicators are normalized, and the judgment matrix is constructed. Moreover, use the hierarchical analysis method to carry out single sorting and consistency tests on the judgment matrix to derive the weight coefficient of the evaluation index system. Then, a case study was conducted on the continuous protection and development of traditional villages in western Yunnan. The results show that the comprehensive evaluation score of the contiguous protection and development of traditional villages in western Yunnan is 4.08168, which is between excellent and good grades, indicating that the experts maintain a good and positive attitude towards the evaluation of the contiguous protection and development of traditional villages in western Yunnan. This study proposes strategies for protecting and developing traditional villages in southern Anhui, which are conducive to improving the research system for protecting and developing traditional villages.
Artificial Intelligence Enabled Apparel Design Research
Authors: Huang Gaolu 
Published: May 2024

Abstract
With the increasing demand for personalized fashion, the conventional approach to clothing design struggles to keep up with market expectations. This study explores how artificial intelligence can enhance clothing design, resulting in the creation of a digital customization process that is in step with the evolving trajectory of innovative fashion design. This study integrates the Deeplabv3+ model with a cross-cutting attention mechanism to develop a novel image segmentation network tailored for clothing design, aiming to expand the diversity of design forms. Additionally, the WGAN-GP model is introduced for adaptive optimization of clothing color design, ensuring that the designs align with user preferences. To verify the efficacy of these AI technologies in apparel design, separate simulation verifications for design segmentation and color optimization were conducted. The results show that the Deeplabv3+ network achieved a 6.97% improvement in Mean Intersection over Union (MioU) on the validation dataset, outperforming the OCRNet average by 2.28 percentage points. Moreover, the color optimization with the WGAN-GP model reached a 98.76% color match with the actual garment. Using artificial intelligence technology in apparel design can innovate the design process and provide an adequate technical guarantee to meet the personalized apparel needs of users.
An Exploration of Online Interactive Teaching Mode of Vocational Undergraduate Business English Based on Deep Learning Networks
Authors: Meng Weiwei 
Published: May 2024

Abstract
English teaching is highly dependent on interactive communication, and for a long time, interactive teaching methods and tools have often had difficulty fully showing their advantages in the classroom due to subjective and objective conditions. In this study, based on self-coding networks, KL entropy is introduced for sparse limitation. Then, an adaptive gradient method with dynamic momentum and an essential learning rate is used to optimize the deep self-coding network. At the same time, an online interactive teaching model of vocational undergraduate business English is constructed from the aspects of pre-course preparation, platform selection, and in-class content, and teaching practice is carried out to explore the effect of the model. The results show that the significant difference between the posttest English scores of the experimental class and the control class in University Z is 0.000<0.05, and the mean value of the English scores of the experimental class is slightly higher than the mean value of the English scores of the control class. This study is based on Adamdyn’s online interactive teaching model, which is effective in teaching vocational undergraduate business English.
Research on the Application of Augmented Reality Technology in Agricultural Product Packaging Design
Authors: Chen Ruijun 
Published: May 2024

Abstract
In this study, we employ 3D modeling technology for the virtual prototyping of agricultural products. Utilizing Unity3D, we integrate data from both virtual and natural environments. This integration allows the 3D models to be visualized within a virtual setting. Additionally, leveraging Kinect somatosensory tracking technology, we have developed a gesture recognition interaction method. This enables packaging designers and users to modify packaging forms, colors, and structures in real-time within the virtual environment. The results of the survey show that consumers prefer multi-sensory, human-centered, and other types of packaging design when choosing packaging. The interaction effect of applying augmented reality agricultural packaging type and market type (R2= 0.079, p=0.001) affects consumer purchase intention. User experience (B=0.334, T=3.385***) was significantly and positively related to applying augmented reality packaging design type. The sense of experience of applying augmented reality to produce packaging use is overall sound, with a mean score of about 4.4. Except for the sense of texture, the mean values of the other nine indicators are all greater than 3, and the evaluations are all in favor of being more satisfied. The use of augmented reality technology in agricultural packaging design is enhanced by the method of this paper.
Research on the model of martial arts classroom ideological practice for college students based on time-series data analysis
Authors: Ding Qian , Li Juan 
Published: May 2024

Abstract
This study employs multidimensional time-series data analysis to explore college students’ learning behaviors in martial arts civics classes. By analyzing learner interactions in three categories and time-series data from educational videos, we assess student engagement in mastery of knowledge and quantify learning outcomes for a detailed and accurate evaluation of their learning status. Our team has crafted a targeted learning path network that enhances offline teaching approaches by leveraging insights from online learning trends and in-class performance in martial arts civics education. The results show that the most popular and highest-rated course is Military Poetry (4.7 points) based on the analysis of recall data, and more elements of military poetry should be included in the design of teaching content. Student A64 had the lowest online note quality rating of 0.02, which can be hypothesized to indicate that the student’s attitude was not active enough. Online and offline Mixed Martial Arts classroom Civics education had a mean score of 46.856, with a p-value of 0, and there was a significant difference between traditional offline education and online mixed martial arts classroom Civics education. Most of the students’ personal patriotism, professional knowledge, and abilities were significantly enhanced after participating in online and offline mixed martial arts classroom Civic and Political Education.
Research on Text Analysis Methods in English Translation Teaching Based on Semantic Association Network Modeling
Authors: Fu Le 
Published: May 2024

Abstract
As the mainstream language of the world, English still occupies an unshakeable prime position, and English translation is one of the essential learning content for students. The semantic network association network model is introduced in this paper, and a text analysis model for English translation is proposed. The model obtains word vectors through the GloVe word embedding model, combines the relevance measure of the Jaccard index, and applies the improved RelArtNet algorithm to calculate semantic relevance in English texts. The translated data from a prominent English test is selected as a sample to analyze the relevance of each feature value of English translation scores. From the three aspects of word surface, conceptual fidelity, and semantic expression, the textual analysis of the experimental corpus by the model yields the comprehensive scoring effect of English translation by the model. The correlation between translation length and English translation scoring is the highest, and the correlation of scoring in both English to Chinese and Chinese to English is more significant than 0.58. The overall model scoring and manual scoring of English translation are closer, with a difference of 1.59 in scoring and a correlation coefficient of greater than 0.8, which verifies the practical value of the model for scoring English translations. The English translation scoring model can help teachers review translations and students practice independently, which has important practical significance.
Research on the High Quality Development of Ice and Snow Sports Tourism Industry under the Integration of Sports and Tourism
Authors: Gao Ming , Fu Yujie , Zhu Xiaohui , Fu Jihong 
Published: May 2024

Abstract
With the successful bidding for the 2022 Beijing Winter Olympics, the ice and snow sports tourism industry has received extensive attention from society. In this paper, under the background of the integration of sports and tourism, we construct an efficiency assessment system for the ice and snow sports tourism industry and then use the entropy value method and coefficient of variation method to improve the DEA model and construct a combination-weighted SE-SBM model to explore the operational and developmental efficiency value of the ice and snow sports tourism industry. In addition, considering the changes in regional industrial productivity over time, the Malmquist index model is utilized to respond to the dynamic development efficiency of the ice and snow sports tourism industry. Finally, the development efficiency of the ice and snow sports tourism industry is analyzed based on the panel data of some regions in China from 2014-2023, in which the mean value of the development efficiency of Jilin and Heilongjiang reaches 1.22778. Among the influencing factors, the value of weight gained from expanding consumption is 0.5426, which is greater than that of the other three factors. This study proposes that expanding consumption is the key to promoting the development of the ice and snow sports tourism industry.
Research on Social Media, Short Video, Digitization and International Communication of Chinese Culture
Authors: Lu Xiaohua , Ba Ningrui 
Published: May 2024

Abstract
Social media have become a pivotal platform for countries to engage in international discourse in the context of globalization and integration. In this study, a six-degree communication model is utilized to construct the online communication body of Chinese culture. Based on the social network analysis method, a communication analysis is completed for Chinese culture’s international communication. As a final step, 434 effective communication samples are chosen as research objects on the TikTok platform, which combines social media, short videos, and digital technology to facilitate the international communication of Chinese culture. The results show that on the TikTok platform, the global communication distance effect of Chinese culture is reflected in the network distance of 0.3900, the content distance of 0.2971, and the emotional distance of 0.3129, all of which are much smaller than the communication distance of traditional methods. The way Chinese culture spreads on TikTok, a platform that combines social media, short videos, and digitization, exhibits a degree of efficacy and feasibility.
Research on the Optimization Paths of the High-Quality Development of the TCM Industry
Authors: Zhang Jing 
Published: May 2024

Abstract
Numerous challenges persist within the industrial chain of Traditional Chinese Medicine (TCM), including issues related to unstable quality, limited capacities for scientific and technological innovation, weak brand competitiveness, and a low level of integrative development. Consequently, it is imperative to harness the relevance, growth potential, and catalytic effects of the TCM industry on economic and social progress. This necessitates exploring and implementing high-quality development strategies for the TCM sector. Utilizing a combination of interviews, theoretical modeling, and Qualitative Comparative Analysis (QCA), this study identifies critical drivers influencing the TCM industry and delineates pathways for optimizing its development. The research highlights multiple factors propelling the industry, such as environmental sustainability, technological advancements, branding, integration, and specialization. Based on these findings, three strategic pathways for optimization are proposed: leveraging technology and branding, enhancing green cultivation practices alongside technological proficiency, and fostering leadership through green and branded initiatives. These drivers collectively contribute to the robust development of the TCM industry. The study further suggests that different regions may adopt tailored high-quality development strategies and models based on local TCM resource endowments core and peripheral conditions. By aligning the existing developmental trajectories of the TCM industry with these regional variations, the selected optimization pathways can significantly promote its high-quality growth.
Audit Quality Control and Financial Risk Prevention Strategies for CPAs under Multi-Objective Optimization Calculation Considering Sustainable Development Strategy
Authors: Du Zhengyuan , Zhao Gongmin , Peng Youyuan 
Published: May 2024

Abstract
Audit functions as the “guardian” of the capital market by overseeing economic activities and providing forensic analysis on the major projects and financial transactions of the entities it examines. The sustainability of auditing as a profession hinges critically on audit quality. This study aims to investigate the characteristics and elements that influence audit quality control, employing modern risk-oriented audit theory to formulate a financial audit risk assessment process. The research uses a multiple linear regression model to analyze factors affecting audit quality control among certified public accountants (CPAs). The model analyzes data from 513 A+H share listed companies, with parameters estimated using the Singular Value Decomposition (SVD) method within an overall least squares framework. Furthermore, the Particle Swarm Optimization (PSO) algorithm, a technique within the multi-objective optimization algorithm suite, is utilized to refine parameters in the manipulability Jones model. This adjustment is intended to better quantify the level of earnings management of the audited entities, thus enhancing the reflection of financial audit risks. Findings from the study reveal that the coefficient reflecting the impact of a CPA’s practice experience on audit quality control is 0.249. Additionally, it was observed that a 1% deterioration in the financial condition of an audited entity correlates with a 0.505% decrease in audit quality. For high-risk clients classified under ‘Special Treatment’ (ST), the range of practice years for CPAs is predominantly between 6 to 14 years, which may not fully meet the clients’ auditing needs. The study suggests that tailored audit surveys should be conducted for various client types prior to audit engagements. This strategic approach would enable better allocation of CPA resources, thereby enhancing audit quality control and the capability to mitigate financial audit risks.
Research on Image Recognition and Visual Design Based on Artificial Intelligence
Authors: Zhang Yi 
Published: May 2024

Abstract
In this paper, the color image is converted to a grayscale image in the image recognition preprocessing stage to accelerate the image recognition processing, and then the image contrast is enhanced by grayscale stretching to compute the grayscale layer covariance matrix and image texture features. Multi-step Markov clustering method is proposed to optimize the GCN, and the instance normalization layer and batch normalization layer are added to strengthen the source domain representation ability of the GCN to form a cross-domain image recognition algorithm based on a pairwise generalization network. Elaborate the visual design path of image information by artificial intelligence image recognition and image processing technology, introduce image recognition technology into the field of visual design, establish a visual design partition model, and completely extract the local feature information of computer image graphics. Use the dataset to evaluate the performance of pairwise generalization networks, and conduct simulation experiments to analyze the visual expression effects of visual design. The PGN-RM method, with the addition of maximum mean distance, instance normalization, and batch normalization, is able to achieve a performance average of 91.843. The peak signal-to-noise ratio of the actual effect image of the visual design of the product packaging is maintained in the range of [95.0312, 97.0032], which is an excellent visual design effect. Visual design that utilizes artificial intelligence graphic recognition technology can express design ideas more deeply and enhance the visual design’s attractiveness.
Fusion of multifactor modeling and supervised learning algorithms in quantitative finance: a comparative analysis of predictive and explanatory power
Authors: Li Yuqi 
Published: May 2024

Abstract
Finance serves as the lifeblood of the real economy’s development, fundamentally aimed at bolstering the real economy and mitigating financial risks. This paper investigates the application of machine learning technologies in finance, organizing a detailed classification and analysis of associated risks within the sector. Specifically, the study employs the Conditional Value at Risk (CoVaR) to quantify systemic financial risks. It introduces both the Fama-French three-factor and five-factor models for constructing multifactor financial models. It assesses the significance and regression coefficients of risk factors within these models to provide a comparative analysis. Moreover, this research develops an early warning model for financial risk by incorporating financial risk measurement indices into the XGBoost machine learning framework. It utilizes the SHAP (Shapley Additive exPlanations) explanatory framework to elucidate the key features influencing financial risk. This comprehensive approach not only enhances the understanding of financial risk dynamics but also advances the predictive capabilities of financial risk management. It was found that the modified R² increased from 36.52% to 56.25% after adding the IMU factor to the three-factor model, and the coefficient of SMB decreased from 0.135 to −0.215 the larger the size of the enterprise. The accuracy of the financial risk early warning model was 96.35%, and the probability of being predicted by the model to be a high-risk sample was lower when the value of the characteristic INDI was taken as [0,0.125]. Financial institutions can enhance their risk prevention ability by combining the financial risk factors obtained from the multifactor model with the supervised learning algorithm.
An Analysis of the Application of the Core Ideas of Functional Linguistics to English Teaching in Colleges and Universities
Authors: Wang Jinfeng 
Published: May 2024

Abstract
Traditional English teaching methods primarily involve the teacher explaining textual knowledge, often leading to inefficient use of classroom time. This study employs functional linguistics, visual grammar, discourse analysis, and interactive communication theories to analyze multimodal discourse in teacher-student interactions within college English classrooms. The study employs both quantitative and qualitative methods, using ELAN annotation software to manually annotate and analyze classroom teaching videos and lessons on a second-by-second basis across multiple modalities. The results indicate that modal distribution varies across different stages of English teaching, with verbal moderation prevailing and non-verbal moderation serving as a supplement. Verbal interactions show that teacher discourse constitutes 42% of total course time, 1.24 times more than student discourse. These findings offer data-driven insights for teachers to refine their strategies and boost interaction in college English classes.