bluuebunny/crossref_metadata_2025 huggingface dataset:
Ensuring Factors for Financial Sustainability of the Higher Education Organizations
Authors:   Financial University under the Government of the Russian Federation, Gorbachev Andrei A.
Published: May 2024

This article identifies significant factors influencing the financial sustainability of higher education organizations and presents an authorial classification thereof. It is noted that the entire diversity of factors ensuring the sustainability of the university’s economic activities can be expressed through cost and non-financial indicators. Among the former are microeconomic, macroeconomic, and market factors determining the level of income of higher education organizations, their potential revenue streams, key expenditure items, as well as strategies for conducting activities based on the situation in the educational services market. Non-financial factors are subdivided into organizational-legal, political, social, and global categories. They imply an indirect but significant influence on the financial sustainability of an educational organization, regulating its activities through documents, state policies in various spheres, the university’s image in the domestic and global educational environment, etc. The prepared classification of factors provides a visual representation of the components of financial sustainability of higher education organizations, which can be effectively utilized in organizing management by stakeholders.
The Wildlife of Africa
Authors: Olej-Kobus Anna
Published: May 2024

An extraordinary safari guide – a wonderful resource in Polish for everyone who loves to go “animal hunting” armed with a camera.
Predictive analysis algorithm in educational technology: student behavior prediction and intervention strategy design
Authors: Zhang Rui , Hao Gang
Published: May 2024

In this paper, we use random forest feature extraction to classify and rank the importance of the behavioral features in the student behavior dataset and obtain the behavioral features with top importance. In the knowledge tracking model, the multidimensional feature strategy is integrated, and the attention weight is introduced in the prediction stage, respectively, so as to predict the results of students’ spatiotemporal behavioral prediction behavioral prediction. The results show that the dormitory area activity has the highest percentage of 30.27%, followed by the teaching area and dining hall area activities. Rest > Study > Eat reflects the regularity of students’ behavior. Behaviors vary at different times of the day. From 0:00 to 7:00, most behaviors are related to rest, while from 8:00 to 11:00, behaviors related to class and eating are predominant. Attending classes abnormally only happened in the second week (3%) and the third week (5%). In the prediction of consumption behavior, the sixth type of students, the average monthly consumption is shallow (541.34) and less frequent (249), and teachers should pay more attention to the life of these students and intervene in the education of mental and physical health.
Investigation into the matching problem between insurance demands and insurance supply in Shanxi Province, China
Authors: Tian Chenjun
Published: May 2024

With the development of the social economy and the improvement of people’s living standards, the role of insurance in society has become increasingly important. The insurance industry’s growth is not in line with social demands. Insufficient insurance capacity or a mismatch between insurance products and demands in specific regions or industries can lead to increased social risks and unprotected interests. Taking Shanxi province as an example, it is a substantial industrial and energy base in China with abundant resources such as coal and power. Shanxi province is facing challenges of transformation and upgrading due to the transformation of economic structure and the increasing environmental awareness. The matching problem between social demands and insurance capacity becomes particularly important in this process. This paper aims to examine the issue of insurance demand and supply matching, using Shanxi province as a case study. The demand for insurance protection is increasing as social risks increase with rapid economic development and improvements in people’s living standards. However, there is a gap between insurance capacity and social demands, which limits the development of the insurance industry and the effective management of social risks. The characteristics of insurance demands and the current situation of insurance supply in Shanxi province are analyzed through a literature review and empirical research methods in this paper. It discusses the problems and shortcomings of the insurance industry in meeting social demands and proposes a series of policy recommendations to promote the matching of insurance demands and supply.
Teaching the process of free throw action in basketball course based on motion vector field transformation
Authors: Li Bin , He Weizhao
Published: May 2024

In order to improve the teaching quality of the free throw action process in basketball courses, this paper proposes research on the teaching of free throw action by integrating motion vector field transformation. Starting from the actual situation of the player’s free throw action, it describes the problems in the teaching process of free throw action. It elaborates on the structure and principle of the motion vector field transformation algorithm in depth. In video analysis teaching of free-throw shooting action processes, the player’s motion vectors can easily be interfered with by random noise, which needs to be optimized using smoothing processing and compensation models. Combined with the teaching objectives of free throw action, the design and development of the “basketball free throw action” microteaching by integrating the motion vector field transformation through the analysis of a university sports college basketball class of 2021 students found that from the seventh week and the eighth week of the experimental group and the control group, respectively, there is a difference of 7.8% and 13%. The ball-hitting rate is significantly different from that of the control group (<0.5). A significant difference occurred (<0.05). Although both methods have improved the free throw shooting rate of the athletes, the teaching of free throw shooting action in the basketball course integrating the motion vector field transformation performs better compared to the traditional free throw shooting action teaching mode. This study provides technical support and diversified media presentation methods for the design and development of basketball micro-courses. It constructs a feasible way to develop and innovate college basketball teaching.
Research on phosphorite photoelectric sorting process based on fuzzy algorithm
Authors: Luo Kunyi , Zhang Bin , Li Ruolan , Peng Liqun , Ou Zhibing
Published: May 2024

In this paper, we synthesize the differences in grayscale and texture information of phosphorite X-ray images and extract a total of six feature quantities under their grayscale and texture features, respectively. After feature fusion, a fuzzy support vector machine classifier with a normal plane-type affiliation function is used to optimize the binary classification method of traditional support vector machines, which improves the accuracy of classification. To improve the sorting model’s division of the optimal classification hyperplane, the centroid position of the two types of samples is considered comprehensively. In order to give full play to the classification performance of the sorting model, the particle swarm algorithm is further used to optimize the core parameters of the fuzzy support vector machine, the penalty factor, and the kernel parameters to complete the construction of the classifier model. In the face of the mixed colloidal phosphorite that can not be exploited, based on the PSO-NP-FSVM photoelectric sorting operation, the concentrate yield rate, operation recovery rate, and optical sorting waste rate are 56.52%, 20.87%, and 71.17%, respectively. After photoelectric sorting, the grade of concentrate P2 O5 can be increased to 20.98%, which can meet the requirements for the grade of the processing plant. Therefore, the photoelectric sorting process combined with a fuzzy algorithm is capable of meeting the actual production requirements.
Constructing a Theoretical Methodological System for Vocal Music Education in Colleges and Universities in the Context of Deep Learning Algorithms
Authors: Zhang Weifang
Published: May 2024

In recent years, artificial intelligence technology has been deeply integrated into college education to comply with the call for teaching reform. The research first uses endpoint detection and Mel frequency cepstrum coefficients to realize the recognition and extraction of vocal music feature signals. Then it uses a deep convolutional neural network to output the extracted signals to complete the recognition and error correction of different vocal music. Finally, different vocal audio is used as a sample to deeply analyze the recognition of various styles of vocal music, as well as the recognition and error correction of music. The model in this paper has a more satisfactory effect on vocal music recognition and music style classification. The recognition rate of vocal music under different signal-to-noise ratios is above 90%. It can also well realize the error correction of vocal music and accurately judge the time value (95%) and pitch (93.57%) of the playing, which reflects a high application value in vocal music teaching. The use of deep learning in vocal music recognition and error correction in college vocal music education can assist vocal music learners and decrease the work intensity of vocal music educators.
Research on Data Acquisition and Regulation Methods of Basement Flashing Pressure Relief System Based on Digital Technology
Authors: Zhao Shixiao , Shi Wei , Zhang Lei , Zhang Yan , Zhang Hailiang
Published: May 2024

This study utilizes digital technology to monitor water pressure changes within basement flashings, facilitating targeted drainage operations. By implementing an active water discharge method, drainage holes are strategically placed around or beneath basements to decompress and reduce water levels, thereby alleviating hydrostatic pressure on underground structures. This approach helps prevent basement uplift. The paper addresses challenges such as high energy consumption and ample data storage in long-term monitoring, introducing an acceleration trigger module and a data correction algorithm based on an enhanced BP neural network. A WOA-BP neural network model was developed using historical data to monitor water pressure efficiently. Our findings indicate that at 0.076MPa, flashing connections begin to fail, progressing to shear damage at 0.085MPa. Consequently, to preserve basement integrity, it is crucial to activate complete drainage when monitored pressure exceeds 0.045MPa to maintain pressures below the critical threshold of 0.076MPa.
Analyzing the Effectiveness of Corporate Management Decision Making Using Information Entropy and Information Gain Ratio
Authors: Huang Qixin , Zhang Yajing
Published: May 2024

The information industry has increasingly become the dominant modern economy, and the introduction of informationization into enterprise management has become one of the necessary means for enterprises in various countries to improve their competitiveness and enhance their vitality. This paper is dedicated to studying the impact of information entropy and information gain ratio on enterprise management decision-making, which further confirms the necessity of modern enterprise management to implement informationization. This paper defines the relationship between information entropy and information gain ratio in enterprise management and establishes a comprehensive evaluation model that matches the two. The objective of indicator assignment improvement is improved by using weight determination based on information entropy to solve the issue of weighting between different indicators of two layers. According to the advantage that the information gain ratio can reflect the information orientation, the expert’s primary viewpoint assignment in the traditional enterprise management decision-making is replaced by the ratio of the information gain ratio of the sorted neighboring indicators to obtain the weights of each evaluation indicator. Taking enterprise Y as the research object to carry out empirical analysis, the entropy weight value of “consistency with the planned target” is 0.8599, which is an essential factor affecting the enterprise management decision. It can fully reflect the information orientation of the data itself and the subjective will of the experts or decision makers, which not only overcomes the shortcomings of the existing assignment methods that cannot objectively reflect the information orientation of the number or the subjective will of the experts or decision makers but also avoids the drawbacks of the existing combination assignment methods that cannot reasonably allocate the combination coefficients.
Research on the decision-making model of power purchase in electricity spot market oriented to market force suppression
Authors: Song Mingshu , Su Changsheng , Wu Maoqian , Song Wei , He Kai
Published: May 2024

In this study, for the electricity spot market under the market power suppression scenario, the market power suppression effect of contractual decomposed electricity is quantitatively evaluated by first reconstructing different electricity consumption loads using the combined MLR method and then combining the market power assessment model with the Lerner index. In addition, a contract for difference based on surveillance price is designed to inhibit market members from utilizing market power by adjusting the space of competitive electricity and the space of contracted electricity to avoid the market risk of rising electricity prices. Finally, a dynamic power purchase optimization decision model is constructed with CVaR as the risk metric and the profit of the power selling company and customer satisfaction as the objectives, and the MOSADE algorithm is used to solve the model and explore the optimal power purchase scheme. The analysis results show that the risk of the spot market can be avoided by bilateral contracts, option contracts, and unit power generation, and the price of electricity sales can be reduced. The expected returns of the four combinations are 21.37M$, 20.43M$, 19.24M$, 18.88M$, and 17.49M$ under the five risk coefficients, respectively. The CVaR values are −23.14, 2.84, 8.83, 10.75, 12.58. Higher than all the other cases, and their selling price for electricity is lower than all the different cases.
Application of Balanced Scorecard in Performance Evaluation of Educational Management
Authors: Wu Linfan , Li Ming
Published: May 2024

Good or lousy school education management is closely related to students’ growth, so research on the improvement of education management performance has become a hot topic. Taking School H as an example, this study utilizes the balanced scorecard to construct a system for evaluating school education performance at four levels: financial, customer satisfaction, internal operation processes, and learning and growth. Based on this basis, the weights of the educational management performance evaluation indicators at all levels are calculated by combining the entropy method and hierarchical analysis method, and the comprehensive evaluation scores of all indicators are derived. In addition, the multiple concurrent causal relationships and realization paths of the high-level development of educational management are also explored using the qualitative comparative analysis model. The results show that the evaluation score of educational management quality is 4.108, and the scores of each dimension of the secondary indexes are 4.102, 4.05, 4.13, and 4.15, respectively, which are above 4, indicating that the quality of educational management in the sample universities is good. This study provides the implementation steps of balanced scorecard performance evaluation for colleges and universities and, at the same time, provides a reference for other colleges and universities’ performance evaluations.
Analysis on the Design and Timeliness of English Teaching Models in Colleges and Universities under the Background of Informatization
Authors: Nong Siqi
Published: May 2024

The informationization era has accelerated people’s learning changed their thinking and cognitive styles, and the English teaching mode is also evolving and innovating. The purpose of this paper is to develop an English learning behavior analysis model, select an improved K-means algorithm for clustering learners, and examine the association rules between learning behaviors and learning effects. In addition, based on the sequence of learners’ behaviors, the article also combines the EduHawkes prediction model with multi-type features to quantify the learning effect in terms of learning engagement and predict the learning effect of students. The blended English teaching model is designed by combining learning behavior analysis and learning effect prediction models. In the experimental study of the timeliness of the English teaching model, the dimensions of students’ English literacy in terms of thinking quality, learning ability, and language ability showed significant differences before and after the experiment (P<0.05). In the evaluation of teaching methods, the dimensions of teaching materials, teaching tools, evaluation of learning outcomes assessment methods, and evaluation of teaching level showed significant differences (P<0.05). The English teaching model proposed in this paper is timely.
Exploring the Diversified Development of Vocal Music Teaching Methods in Colleges and Universities Combined with Multi-Priority Dynamic Threshold Algorithm
Authors: Shang Xiaoan
Published: May 2024

Enhancing the integration of modern information technology with educational practices, particularly in the vocal classroom, is crucial for improving academic quality. This paper presents an optimization method aimed at addressing the limitations of the existing multi-priority dynamic threshold algorithm. The specific performance is as follows: first, on the original basis of the PDT-RED algorithm, the expected cache utilization is set to ensure the utilization of the buffer. The optimized OPDT-RED algorithm should be used to ensure that the data frame is received with a high probability. Then, according to the channel environment, the dynamic fullness threshold was adjusted, which improved the performance of the highest priority queue with a high transmission success rate. Lastly, the measurements of vocal characteristic parameters like pitch, rhythm, beat, melody, and others. The goal was to create a complete evaluation network model for vocal teaching, which was applied to actual cases. The model’s performance and its effectiveness were evaluated. After testing, the subjects’ vocal rhythmic tempo was below 60, while the range of the sample repertoire was between 60 and 90, presenting two different forms of expression. The model proposed in this paper has the optimal effect on the enhancement of expressive movements while singing; 15.33% of the students improved by two notches, and the vocal teaching model designed in this paper has a very good effect on vocal enhancement.
Research on the framework of sports event management system of colleges and universities based on big data
Authors: Xie Yi , Guo Shuqing , Wang Shuling
Published: May 2024

With the continuous expansion of the scale of colleges and universities and the rapid development of network technology, the management of college sports events is facing more and more challenges. This study first constructs a collaborative management model for college sports events based on the SFIC model. It selects teachers and students from M school as the research object and presents relevant hypotheses. Factor analysis is used to verify the effectiveness of college sports event management, and multiple regression analysis is employed to analyze the factors. The results show that the four public factors extracted have been able to cumulatively summarize 71.408% of the original indicators of information starting conditions, catalytic leadership, institutional design, and synergistic process that can explain the management effect. Furthermore, the correlation coefficients between the variables and management effects are greater than 0.96, indicating a significant correlation. According to the study, there is potential for optimizing the management system of university sports events in terms of management power, management capacity, administrative duties, system improvement, management cooperation, transparency, and openness.
Aerobics Arm Movement Trajectory Recognition with Motion Computer Assistance
Authors: Xiong Chunzi
Published: May 2024

Aerobics is an internationally famous fitness and sports competition program. This paper aims to design an aerobics arm movement trajectory recognition method with the assistance of a sports computer to detect aerobics movements in real-time. The study first introduces the Gaussian kernel function based on the Kalman filter pose solution method to construct the aerobics arm GP-SUKF pose solution model. The acceleration data are then coordinate transformed to remove the gravity component of each axis, and the features of the aerobics action trajectory are extracted by combining the time-frequency domain integration method and eliminating the cumulative error. Finally, a support vector machine algorithm based on particle swarm optimization is constructed to classify and identify the features extracted from the trajectory of the extracted aerobics arm. In the simulation experiments, the algorithm in this paper provides more motion trajectory points for the aerobics arm movements. It is closer to the actual value of the wrist movements offered by the OptiTrack system, with the error ranging from 0.02m to 0.04m, and a better tracking effect can be obtained in the case of fast movements. This study can accurately track the trajectory of aerobics arm movements and provide more accurate posture and movement assistance for professional athletes and bodybuilders.
Research on the Integration Development Strategy of E-commerce and Cross-border Logistics Supply Chain in the Internet Era
Authors: Yang Lixia , Gong Jingjing , Feng Yujun
Published: May 2024

Based on industrial integration theory and system theory, this paper combines the development characteristics of e-commerce and cross-border logistics, utilizes the entropy weight method to assign weights to the indicators, and constructs a comprehensive evaluation model of e-commerce and cross-border logistics. Measure the coupling degree and integration degree of e-commerce and cross-border logistics. Using the multiple regression method to comprehensively study the technique of variable correlation and the important measures of the link between each variable, thus put forward optimization strategies for the logistics supply chain model, enterprise scale, and other aspects. The results of the analysis show that the proportion of cross-border e-commerce import transaction scale reached 22.7% in 2023, which increased 1.29 times compared with 2019, and the proportion of cross-border e-commerce import transactions continued to increase. In the analysis of the factors of the industrial integration of e-commerce and cross-border logistics, the influence of information network technology (0.108), the influence of platform resources, and the degree of influence of manufacturing technology occupy the top 3 places, which are the elements to focus on. Enterprise performance is significantly impacted by the economic level of the host province through regression analysis, with a coefficient of 0.1847 and significant at the 10% level. The evaluation value of the logistics alliance model is the best (comprehensive evaluation of 0.384), and it is most in line with the current development needs of cross-border e-commerce companies.
Research on the Monitoring and Evaluation System for the Growth of Innovation and Entrepreneurship Ability of College Students Based on Markov Model
Authors: Cao Changfang , Wang Hanmin , Guo Zhipeng
Published: May 2024

Human resources equipped with innovative entrepreneurial abilities are a vital catalyst in advancing enterprise development and the socio-economic landscape, as well as in transforming old and new kinetic energies. This study explores methods for fostering innovation and entrepreneurship among college students within the sphere of scientific and technological advancement. We developed an index system to measure these abilities and designed a questionnaire to assess the factors influencing student entrepreneurship. Our analysis, utilizing the Markov model and multiple regression, examines the skills of students from Universities A and B and identifies key factors that influence their entrepreneurial capabilities. The general proficiency of students at Universities A and B is moderate, with overall scores of 75.24 and 76.28, respectively. The data indicates that student capabilities increase alongside their academic progression. Influential factors contributing to innovation include curriculum teaching (0.054), campus atmosphere (0.041), and research conditions (0.047), with curriculum teaching playing a significant role. Higher education institutions must enhance students’ holistic abilities. By creating a diverse innovation-driven curriculum, these institutions can effectively boost the innovation and entrepreneurship skills of engineering students.
An Analysis of the Innovation of English Teaching Strategies and Their Impact on Learning Effectiveness in the Age of Big Data
Authors: Gao Haiyang , Zhang Qingping
Published: May 2024

In recent years, a wealth of research on English language teaching practice has emerged in the academic community at home and abroad, mainly focusing on the use of teachers’ strategies in the English language teaching classroom and less on whether the use of strategies can enhance students’ English language learning effectiveness. In this paper, we look for the factors affecting the effectiveness of English learning from the two subjects of teachers and students respectively, identify the main variables of the study, and put forward the relevant research hypotheses. By using partial least squares regression to construct a model of research impact on learning effectiveness, a regression test is proposed that utilizes Person’s correlation analysis as a benchmark. The research data were collected by means of an online survey, and in the descriptive statistics of the variables, the content mastery measure of the sense of learning goal effectiveness scored the highest at 4.253, and the learning content explanation of the English teaching innovation was adequate. The R2 of English learning strategies and goal effectiveness sense is 0.289 and adjusted is 0.265, the F value is 378.621, and the P value is less than 0.001, which is positive and significant. The more frequently English teaching innovation strategies are used in this study, the higher the sense of goal efficacy, which can significantly improve the effectiveness of learning.
A Study on the Effect of Color Preference on Purchase Intention of Picture Books for 3-7 Year Old Children in China and South Korea
Authors: Lei Qingyun , Zhong Guilin
Published: May 2024

This paper adopts a linear regression model to study the relationship between picture book color and purchase intention. The research object is selected, the research data are obtained by distributing questionnaires, the correlation coefficient formula of the linear regression model is used to get the correlation of the research independent variables, and then the least squares method is used to conduct regression analysis of picture book color preference and purchase intention. The research data show that the R² of model 1 (control variable) is 0.015. The R² of model 2 (independent variable) is 0.625, which increases the degree of explanation by 61.00% compared with model 1. The regression coefficients of the independent variables are 0.214, 0.122, and 0.126, respectively. All of them reach a significant level, which indicates that there is a significant positive effect of the color preference of picture books of Chinese and Korean children between the ages of 3-7 on the willingness to purchase. The color preference of Chinese and Korean children’s picture books aged 3-7 has a significant positive effect on purchase intention, as indicated by this. The cross-border children’s book market can benefit from this study as a good sales strategy and suggestion to better promote children’s picture books.
Simulation of bridge steel structure construction process based on BIM technology
Authors: Pan Wenming
Published: May 2024

With the rapid development of computer technology and information technology, bridge engineering is gradually transformed into information technology, and bridge BIM design technology is increasingly concern by the industry. This paper uses BIM technology to simulate the construction process of bridge steel structures. In order to solve the problem that the first model of BIM is too complicated, this paper utilizes the edge folding algorithm and quadratic error metric to refold the model and establish the new vertex coordinates, and at the same time, introduces the folding cost function to maintain the model characteristics. In the simulation experiments of the bridge structure construction, stress changes of the main girder of the bridge body are analyzed in various merging states. When the fitting error is +15mm, +25mm, and +35mm, the stress on the upper edge of the main girder near the top of the pier increases by 0.24MPa, 0.52MPa, and 0.78MPa, respectively, for the selection of materials and the prediction of construction and assembly parameters, in which the length of the steel girder N1 is accurate to the millimeters, which is 39940mm, and the single piece weighs 9,532.5kg. To prevent collision and interference with the bridge pier, the crane should be raised at a height of not less than 6.6m during the lifting stage. It can be seen that BIM technology can not only simulate and predict non-geometric factors such as the materials used but also simulate the margin of error and the bridge stresses as a way to help bridge projects on the ground.
The Application of Blended Teaching Model in Practical Teaching in the Context of Big Data
Authors: Tian Juanjuan
Published: May 2024

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

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

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

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

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

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

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

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

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

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

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.