bluuebunny/crossref_metadata_2025 huggingface dataset:
Multimodal Discourse Analysis of English Teaching Materials in Colleges and Universities from the Perspective of Ecological Philosophical Perspective
Authors: Lyu Ting , Cao Dong
Published: June 2024

English teaching materials serve as a critical vehicle for instruction, with well-designed materials fostering positive learning habits and interests among students. This study employs an ecological philosophy approach and multimodal discourse analysis to examine the modal shifts in college English textbooks. It utilizes the BiFPN network model to capture image features within these materials. Furthermore, the TF-IDF method extracts key terms from the textbook text, while the integration of a CNN-GRU model facilitates the classification of these terms. Additionally, this research introduces relevant computational formulas from text readability theory to evaluate the difficulty levels of these textbooks. The analysis focuses on the “New Vision College English Textbook” series, volumes Compulsory 1 through Compulsory 4. It explores the semantic relationships between text and graphics, chapter-specific reading challenges, and overall text readability indices. Findings indicate that the average proportion of graphic-text equality relations stands at 58.30%, with the highest occurrence of images depicting detailed relationships totaling 217. The Grade Level index for Compulsory 4 reaches 1.61, signifying a high complexity, whereas the Flesch Reading Ease (FRE) score for Compulsory 1 peaks at 75.42, suggesting easier comprehension. In contrast, Compulsory 2 and Compulsory 4 exhibit lower readability scores. Through multimodal discourse analysis, the study delineates the varying difficulty levels across college English textbooks, advocating for a graded approach to textbook development that aligns with students’ evolving competencies. This strategy is poised to significantly boost students’ engagement and facilitate more effective learning.
Research on Teaching Methods of Higher Vocational Education Based on Multi-source Data Fusion under the Concept of Entrepreneurship and Innovation Education
Authors: Wang Shiguang , Si Xuyan , Wang Xiaolong , Zhang Jingliang , Wang Peng
Published: June 2024

With the development of the times, traditional innovation and entrepreneurship education exist in the backwardness of education concept and learning concept. This paper proposes a model for entrepreneurship innovation that incorporates multi-source data fusion technology. From both online and offline sources, we obtain multi-source data about the education and teaching methods of the entrepreneurship innovation education concept in higher vocational colleges and universities. In the process of multi-source data fusion, data is preprocessed to improve its quality and efficiency during data fusion. Using the least squares method to complete the multi-source data fusion operation, combined with the concept of entrepreneurship innovation education, co-designed a data fusion-driven innovative entrepreneurship education teaching model that integrates interactive and targeted teaching methods. The model underwent validation and analysis. The data show that after some time of adopting the targeted teaching method to teach students innovative and entrepreneurial concepts, the difference between the mean value of the level of creative and entrepreneurial concepts of the students in the experimental group mean value (43.79) and the control group mean value (43.79) is 4.55. The sig value is 0.019<0.05. Compared with traditional didactic teaching, the targeted teaching mode based on the multi-source data fusion technology is more helps to improve the level of innovation and entrepreneurship concepts of students in higher vocational colleges and universities.
Data-driven analysis of carbon emissions from buildingization under the CRISP-DM framework
Authors: Wang Wanying
Published: June 2024

As a crucial pillar of the national economy, the healthy and stable development of the construction industry provides strong support to the national economy. In the current developmental context, it is particularly important to address the relationship between growth and low-carbon emission reduction. This paper proposes a study of carbon emissions from buildings using the CRISP-DM framework. According to the current situation of carbon emissions from building construction, data on the building stage is obtained from two parts: prefabricated works and on-site pouring. Because the original list data of engineering materials is partially missing, the data is processed by the weighted average method for each building material usage and carbon emission to avoid affecting the analysis results of the overall data. Combining the carbon emission measurement formula, carbon emission factor, and CRISP-DM, the carbon emission measurement model for buildingization is constructed using CRISP-DM. According to the model, the carbon emission in the transportation phase of prefabricated building materials is 1039925.978 kgCO2e, and the carbon emission of C30 concrete is the largest, with a value of 510,156.027 kgCO2e. In addition, the carbon emission in the transportation phase of cast-in-place building materials is 180.812 kgCO2e, of which the largest carbon emission is crushed stone (85.007 kgCO2e). This study can provide a reference for the construction industry in each province to set the carbon emission reduction target according to the local conditions, which is of practical significance to promote the low-carbon development of building construction.
Research on the Cultivation of Cross-border Talents for Art and Design Majors of Virtuous Art Transmission and Creation under the Background of Deep Learning
Authors: Wang Zeqiang
Published: June 2024

In this paper, we design the cultivation program of virtue and art transmission of cross-border talents under the perspective of deep learning, which mainly includes the creation of talent cultivation bases, the construction of the professional layout structure, the complete talent cultivation system, and the practice platform. Then, combined with the construction principles of the evaluation index system, it determines the evaluation index system for the cultivation of cross-border talents of virtue and art transmission and creation of art and design majors in the context of deep learning and then applies the fuzzy hierarchical synthesis analysis method, constructs the evaluation model, and carries out a comprehensive assessment of the designed cultivation program. The results present that the comprehensive score of school-enterprise cooperation in the second-level index is 0.8148, while the comprehensive score of the corresponding first-level index of talent cultivation base is 0.819. The combination of the index scores and weights ultimately results in a score of 0.814 for the talent cultivation program, which indicates that the quality of the talent cultivation program as a whole is at the medium-high level. This study can comprehensively reflect the teaching effectiveness of the cross-border talent cultivation program of Deyi Chuanchuang under the perspective of deep learning, which helps to detect the degree of mastery of students’ professional operational skills and employability.
Research on the Integration of Chinese Traditional Architectural Elements in Modern Architectural Design under Digital Technology Support
Authors: Wei Yunjia
Published: June 2024

This study seeks to enhance the integration of traditional Chinese cultural and artistic elements into contemporary architectural design, providing a rich source of inspiration. This paper investigates the connections between modern architectural symbols and traditional Chinese architectural and cultural elements. It identifies key characteristics of traditional architectural elements and proposes the integration of superficial structural features into contemporary designs, focusing on architectural space, form, and color. Utilizing Building Information Modeling (BIM) technology, this research designs a program that merges traditional Chinese elements with contemporary architectural practices. A specific test site was selected to implement this design. The study conducts a quantitative analysis of the space, form, and color characteristics extracted from the test site. The results indicate an overall symbolic value of the test building at 7.566. The analysis identifies the “stone lion” as an element with a high degree of alignment with traditional Chinese architectural elements, with nearly 50% of the participants rating its compatibility as 4 or above. Further quantitative analysis of the integration of color elements reveals that the color scale of the building’s main body predominantly ranges from 0 to 65, with a brightness level of 25 to 65, aligning with the aesthetic principles of traditional Chinese architecture.
Exploring the Integration and Innovation Path of Chinese Traditional Music Culture in Popular Percussion Education in Colleges and Universities
Authors: Xue Xiaolun
Published: June 2024

This study explores the integration of Chinese traditional music culture with contemporary percussion education in higher education institutions. It delves into three primary areas: the rhythmic language inherent in Chinese national instrumental music, the acoustic properties of combined percussive instruments, and the distinctive features of percussion music compositions. In response to the evolving trends in popular percussion education at universities, we have designed a curriculum framework titled “Chinese Percussion,” which leverages the abundant percussive resources available. This framework includes a detailed examination of audio signal processing and the extraction of percussion rhythms. Furthermore, we address the significant challenges in teaching percussion at the collegiate level and propose using the music spectrum to direct instructional rhythms. Employing the creative environment of the music classroom as a methodological tool, this study assesses the atmosphere of creativity in college percussion classes before and after incorporating traditional Chinese music elements. With the exception of the sixth dimension (classroom conflict atmosphere), which did not show statistical significance, all other positive dimensions—challenge/involvement, freedom, trust/openness, reflective thinking time, joy, support for creativity, discussion, and adventurous spirit—demonstrated significant improvements. Specifically, the seventh and eighth dimensions showed increases of 0.4121 and 0.6459 points, respectively, in post-test scores. Incorporating Chinese musical elements into percussion teaching not only enhances the uniqueness of the educational experience but also stimulates interest and engagement, thereby fostering the advancement of music education.
Logical Mechanisms and Innovative Practices of Digitization of Traditional Cultures for the Promotion of Common Wealth
Authors: Yang Liu , Liu Jun
Published: June 2024

The development of digitalization has injected vigorous impetus into the innovation and transformation of traditional culture. After exploring the logical conventional culture mechanism digitization construction to promote commonwealth, the study makes relevant hypotheses. It establishes a regression model with traditional culture digitization construction as the independent variable and commonwealth development level as the dependent variable. Then, taking the assumption of conventional culture digitization in a certain region as an example, the hypotheses proposed in this paper are verified through the descriptive statistical analysis of the model, multiple commonality diagnosis and regression analysis, and then the innovative, practical ideas of traditional culture digitization construction for commonwealth are explored. After the regression model verification, the digital construction of conventional culture can enhance the development level of the commonwealth. Its dimensions have a significant positive impact on the level of personal income, personal consumption level, and employment opportunities with a level of at least 5%, among which the effect of the integration of traditional culture and tourism is the most prominent, with the coefficients of 0.637, 5.724 and 0.638, respectively. The digitization of conventional culture needs to be built with a The digitization of traditional culture needs to be constructed with the practical ideas of “top + bottom” two-way support, “decoding + translating” two-way mutual feeding, “online + offline” two-channel smooth flow, to realize the acceleration of the commonwealth.
Application of three-dimensional printing technology to the customized design of spinal implants
Authors: Yang Zecheng , Zhang Hengwei , Liu Xiaowei , Qiu Yujin
Published: June 2024

In recent years, the field of 3D printing technology has experienced rapid advancements, notably expanding its application within the medical sector. This study focuses on the custom design of 3D-printed spinal implants, specifically examining porous interbody fusion products. It integrates considerations of mechanical strength and bone ingrowth to establish a finite element model of porous interbody fusion, subsequently conducting topology optimization to design three distinct types of spinal interbody fusion implants. Analytical investigations were carried out on the stress and displacement responses of these three implant types under compressive loading. Furthermore, a detailed stress analysis was conducted on implants varying in porosity, length, and screw angle of the bone graft to assess the performance characteristics of the porous interbody fusion devices. Results indicated that the Type C implant exhibited superior performance, demonstrating a stress reduction to 89.21 MPa and a displacement change of 0.006 mm, optimally at a 60% porosity level. Adjustments in the lengths and screw clamp angles of the splint ensured that the maximal stress experienced by each vertebra remained below the yield limits of both cortical and cancellous bone, thus preventing vertebral damage. This paper presents a comparative analysis of three types of porous interbody fusion devices, providing substantial data support and a theoretical framework that can inform the future development of fusion products.
A Study on the Application of Image Analysis Techniques to Autocoders in Civil and Hydraulic Engineering
Authors: Yu Yusi
Published: June 2024

With the continuous updating of computer vision and image analysis technology, image processing, as well as analysis technology has become an important auxiliary means in the analysis of civil engineering and water conservancy projects. In this study, an image analysis model is constructed by defining the autoencoder and its expansion relation, combined with a convolutional neural network. On this basis, an engineering detection model is built by using a sparse-stacked autoencoder. The structural sub-transmission characteristics of civil engineering and water conservancy projects were investigated. The image separation optimization was carried out by using Beer Lambert’s law, and finally the engineering structure extraction and recognition model based on deep learning was formed. Then, the performance of the model is examined. The average value of the repetition rate is higher than 80% in the brightness adjustment, rotation, and scaling operation change test. The Dice and IoU indexes are higher than 90%, and the HD distance is less than 27mm, so the overall performance is excellent. The practical application of civil engineering and water conservancy engineering has a fantastic performance, with a relative error of no more than 2%. The method in this paper has excellent stability and practical effect. It proposes an improvement method for optimizing the image analysis method in civil engineering and water conservancy engineering.
Research on passenger flow prediction of tourist attractions by integrating differential evolution and GWO optimization
Authors: Zhang Baohui , Zhang Jinqing , Xu Qingqing
Published: June 2024

With the rapid development of tourism, the rapid growth in the number of tourists caused by the imbalance of the passenger flow carrying capacity of tourist attractions, tourist crowding, overloading, and other problems caused by the frequent occurrence of safety accidents, to the tourist attractions has caused a huge negative impact. For this reason, this paper constructs a model for predicting passenger flows at tourist attractions based on the GWO algorithm. Optimizing the model involves using a differential evolutionary algorithm following a feature study with the Gray Wolf Optimization (GWO) algorithm. Then, for the problems that are prone to occur in the fusion of the GWO algorithm and DE algorithm for solving nonlinear systems of equations, a combined GWO-DE-SVM model is proposed to realize the accurate prediction of tourist attractions’ passenger flow. On this basis, the prediction effect of the GWO-DE-SVM combination model is examined. The loss values of the model in the training set and test set of this paper are around 0.034 and 0.029, respectively, with the lowest average error of 2.524% among all the models. The passenger flow and the total tourism revenue of W tourist attraction in the coming year are successfully predicted in the practical application, which is estimated to be 681 million and 106.88 million yuan, respectively. Million and 106.88 million yuan are the respective amounts. And two peaks of tourist attractions in W were predicted in May and October. This study provides a scientific basis for the management of scenic spots to prevent tourist crowding.
The Development of Film and Television Industry and the Shaping of Cultural Values: An Exploration from the Perspective of Art History and Theater Aesthetics
Authors: Zhang Suyu , Song Bo
Published: June 2024

Art history and theater aesthetics carry unique cultural values. This paper uses the hierarchical DEMATEL method to construct the IDR matrix of influencing factors. It obtains the key influencing factors of cultural value shaping art history and theater aesthetics. The fsQCA method is used to explore the influence of cultural value shaping the development of the film and television industry, including art history and theatrical aesthetics, and the related paths are specifically analyzed. The results of the study show that the influence and centrality of “social and cultural consciousness”, “the spirit of the times”, “governmental cultural values,” and “consumer demand The results show that “social and cultural consciousness”, “spirit of the times”, “government cultural values” and “consumer demand” have higher influence and centrality analysis values, and are the key influencing factors in shaping the cultural values of art history and theater aesthetics. 4 key influencing factors have 4 influencing paths on the degree of development of the film and television industry of art history and theater aesthetics, and the consistency is in the range of 0.84-0.95, which is a high influence role. This paper lays a foundation for shaping cultural values in art history and theater aesthetics and provides a reference path for the flourishing development of the film and television industry.
A study of the subsequent measurement of goodwill in the valuation of financial assets
Authors: Zhao Ling
Published: June 2024

In recent years, China has embarked on a trajectory of high-quality economic development. Concurrently, the magnitude of goodwill determination among listed companies, as well as the scale of goodwill impairment, has been on the rise. This trend has catalyzed scholarly interest in the subsequent measurement of goodwill, positioning it as a focal point of research. This study employs the binomial tree option model, supplemented by the Black-Scholes (B-S) option model, to devise a method for the subsequent measurement of goodwill in financial asset valuation. The methodology optimizes the parameters associated with goodwill measurement for deviations from a normal distribution and introduces impact parameters to refine the valuation technique. The selection of Enterprise A as a representative entity for this study reveals significant findings. Among its industry peers, the goodwill impairment loss recorded by Enterprise A ranks fourth, yet its influence on net profit stands as the most important in the sector. By utilizing the B-S option model for subsequent measurement, this research confirms that the valuation of Enterprise A’s financial assets, including the quantification of goodwill and impairment losses, can be executed with enhanced precision. Post-implementation of this refined measurement method, Enterprise A exhibited a net asset interest rate of 36.59% in financial asset valuation, a marked improvement over the 29.52% achieved via systematic amortization methods. The findings of this paper are instrumental for corporations seeking to optimize their approaches to goodwill measurement, ultimately safeguarding their interests in financial asset assessment.
Reflections on Rhythm Control in the Stage Performance Process of Dancers
Authors: Zhong Shu
Published: June 2024

The article proposes a dance score generation model based on the graph attention model and Transformer, which first preprocesses the stage motion capture data of dancers, utilizes a multi-scale attention network to realize motion feature aggregation, and introduces the gated loop unit in the Transformer model to enhance the recognition accuracy of dance movements. Based on the recognition of the dancer’s stage movements, the skeleton size normalization is performed on the joints of the dancer’s gestures, and the skeleton replacement method is combined to realize the correction of the dance movements. Next, we test the model’s dance score generation effect, the matching accuracy of dance movements and music rhythm, and evaluate and analyze the quality of dance movement correction. The results show that the Former model in this paper scores 8.33% higher in beat consistency than the traditional dance generation model Bailando, and the matching coefficient of the rhythmic intensity of the generated dance is basically the same as that of the original dance, with a difference of only 0.02-0.06. It shows that the rhythmic control of the stage performance of dancers carried out by the Transformer model can enhance the stage performance power of dancers and strengthen their stage performance. It shows that using the Transformer model to control the rhythm of dancers’ stage performances can improve the stage performance of dancers and enhance the viewability of stage performances.
Artificial Intelligence Technology Enabling the Construction of Employment Nurturing System in Colleges and Universities
Authors: Zhou Fengjin
Published: June 2024

Employment forms the cornerstone of societal welfare. Within the rapidly evolving landscape of artificial intelligence technology, the challenge for higher education institutions is to leverage these advancements to forge a robust employment and educational framework. This study integrates personalized recommendation algorithms to address the prevalent issue of accuracy deficits in the employment education systems of colleges and universities. Utilizing both content-based and collaborative filtering algorithms predicated on latent factor decomposition, this approach enables the precise tailoring of job recommendations that align closely with individual student preferences. This targeted recommendation process not only enhances the quality of student employment outcomes but also addresses the enduring challenge of sustaining effectiveness in the employment education systems within academic institutions. Furthermore, this paper examines the contributory factors to the efficacy of these systems through the structural equation modeling (SEM) of student satisfaction with university employment education systems. The analysis reveals that in the perceived quality of these systems, as assessed by the SEM, the factor loading for the precision of employment recommendation approaches reaches a value of one. This underscores the critical importance of aligning job recommendations with the student’s circumstances and preferences, highlighting it as a central concern among students.
Research on the Integration and Development of Intangible Cultural Heritage and Tourism Management Industry in the Context of Digitization
Authors: Zhou Wei
Published: June 2024

This study employs the entropy power method to disaggregate the development potential of intangible cultural tourism resources in Area Z, further analyzing these resources via the RMP model. This model comprehensively evaluates the quantity and categorical structure of Area Z’s intangible tourism resources. Additionally, this research explores the dynamics of intangible tourism product design, focusing on the interplay between intangible tourism resources and products, herein referred to as the R-P relationship. The Herfindahl index serves as the primary analytical tool in this paper to assess and quantify the degree of integration between the tourism and cultural industries in Area Z. The findings reveal that the most significant developmental potential lies in the appeal of non-heritage resources and products, which score 50.8 in terms of development value. Intangible tourism resources in Area Z are abundant and diverse, with skill-based resources constituting 50% of the total. From 2014 to 2023, tourism revenue in Area Z surged from 28.046 billion yuan to 69.915 billion yuan, indicating substantial market potential. The design of non-heritage tourism products should, therefore, prioritize items with significant collectible and cultural heritage value. The integration index between the cultural industry and the tourism management industry in Area Z is measured at HI=0.6058, while the core product index for non-heritage and tourism stands at HI=0.2604. This paper underscores the critical role of strategic resource allocation and product design in maximizing the economic impact and cultural preservation of intangible tourism resources.
The Innovative Path of Patriotism Education for College Students in the New Era under the Environment of Intelligent Education
Authors: Li Anqi
Published: June 2024

This paper combines modern information technology with the design of mobile Internet smart classrooms and its realization. Using the structural equation model to summarize and refine the key elements of college smart patriotic teaching, the college smart patriotic teaching practice model is proposed, and the quantitative information of each influence path is explored through empirical evidence. After analysis, it can be seen that in the first and second standardized regression coefficient tests, the path coefficient of the wisdom patriotic teaching method on the environment of wisdom patriotic teaching in colleges and universities is 1.138, P=0.262. In addition to this, the other nine influence path hypotheses passed the significance test (P<0.05). In terms of the path coefficient of each path, the highest value reaches 0.58, and the lowest value to -0.14, revealing that the main development of college students’ patriotism is also affected by the diversified and rich influence of various other complex factors. The wisdom patriotic teaching model is highly rated by college students and has a significant difference in satisfaction between different academic degrees (P=0.008). Data support for the innovative path of patriotic education in a smart environment is provided by the findings of this paper.
Study on the Development Trends and Strategies of International Economy and Trade under the New Situation
Authors: Zhai Yu , Song Meijing
Published: June 2024

In today’s increasingly globalized world, trade between countries has become more interconnected, and international trade has emerged as the primary driver of economic development for all nations. This paper proposes a standard trade model for the new situation using the Dixit-Stiglitz model. Starting from the consumer’s point of view, the two-stage maximum method is adopted. Using the Lagrange function, the demand utility function of consumer preferences is processed, and the model optimization scheme is deduced. The ARMA model is used to predict the volume of merchandise foreign trade, and the prediction range includes autoregressive and moving average processes. The indicators are used to evaluate the smoothness of the series within the sample period. A suitable sample of international trade data is selected. The results of the analysis are as follows: in the logistic autoregressive analysis test, the significance of all factors, except for the language and religion factors, passes the significance test of 0.001, and at the same time, the model goodness-of-fit is greater than 0.1, ranging from 0.115 to 0.175. In the analysis of the spatial evolution pattern of international economic trade and trade dynamic development, the spatial Gini coefficients of the first category of goods in 2000, 2014, and 2019 and the third category in 2000 are 0.4306, 0.4717, 0.4956, and 0.4673, respectively, which are lower than 0.5, showing a more balanced evolution pattern.
Modeling Student Management and Civic Education Strategies from an Interdisciplinary Perspective
Authors: Zhao Xinying , Zhang Chengming , Wang Zisong , Yu Shuaiyi
Published: June 2024

This paper issues from an interdisciplinary perspective, combining computer technology, principles of management and other multi-disciplinary knowledge to build a model of student management and civic education strategy. Two modules are part of the student management model: student behavior analysis and prediction. In student behavior analysis, the fuzzy C-means clustering algorithm is improved, and the Gaussian density function is used to determine the initial clustering center. In student behavior prediction, the convolutional network is used to input raw data, and the extracted features are inputted into the CABLSTM model for training and prediction of student behavior. The Civic Education Strategy Model is built on the principle of feedback control and is constructed at the school, family, and individual levels. In the analysis of student management and Civic and Political Education practice, teaching practice was conducted at University C in Lanzhou City, Gansu Province, China. After the practice, the number of students who are very satisfied and satisfied with the overall student management is 2, 356, accounting for 65.81%, and the comprehensive quality of students is in the middle to high range. The students’ life values, family and national sentiment, and thought level dimensions in Civic and political literacy have significant differences (P<0.05), and the level of mastery of Civic and political knowledge is good.
The impact of digital trade rule networks on the advancement of global value chains in the Internet era
Authors: Wang Jingbu , Chu Xiwei
Published: June 2024

In the context of the digital era, global value chains are facing unprecedented reconstruction and upgrading. The development of global trade is influenced by the importance of digital trade in upgrading the status of global value chains. Based on the research of digital trade and global value chain theory, we construct a mechanism model of digital trade to enhance the status of the global value chain and measure digital trade and global value chain by combining the multi-indicator panel hierarchical factor analysis method and the trade value-added accounting method, respectively. Benchmark regression analysis of digital trade and global value chain status indices of major economies is used to explore the impact of digital trade on the status of global value chains. There is a positive correlation between the level of digital trade and the GVC status index, with the GVC status index increasing by 1.6 percentage points for every 1 percentage point increase in the level of digital trade. The level of digital trade has a positive impact on the GVC position of both developed and developing economies. For every 1% increase in the level of digital trade, the GVC position index of developed and developing economies increases by 2.5% and 1.7%, respectively.
A Study of Output Vocabulary Knowledge in the English Writing Process
Authors: Ning Yan
Published: June 2024

Vocabulary acquisition is pivotal in enhancing English writing proficiency. Effective integration of output vocabulary into written English is essential for improving students’ compositional skills. This study proposes a methodology for extracting vocabulary from English textual materials and subsequently applying it to student writing endeavors. To ensure the integrity and accuracy of the text materials utilized, this research employs a Long Short-Term Memory (LSTM) algorithm to perform a comprehensive spelling check on the English writing corpus prior to vocabulary extraction. Further, this paper adopts the high-frequency word list and Term Frequency-Inverse Document Frequency (TF-IDF) techniques to identify and evaluate the significance of vocabulary within the texts. Key vocabulary that significantly impacts word importance classification is preliminarily identified using the Graph Convolutional Network-K Nearest Neighbor (GCKN) algorithm. These pivotal words, termed ‘key nodes, ’ form the basis for constructing a network within the English texts. Utilizing the message-passing mechanism, information from associated nodes is aggregated at the central node, facilitating the acquisition of output vocabulary. The study findings indicate that students, after learning and applying the acquired vocabulary, demonstrate considerable improvements in their English writing capabilities. They exhibit a broader and more sophisticated use of vocabulary, leading to marked enhancements in their writing performance and overall English proficiency.
Research on Enterprise Management Process Reengineering Strategies for Integrating Innovation Ecosystems in the Age of Artificial Intelligence
Authors: Huang Yamin
Published: June 2024

Innovation is the inexhaustible driving force for an enterprise to realize sustainable development, and enterprise management process reengineering within the innovation ecosystem is the key know-how for the growth of enterprise benefits. This paper focuses on the realization of enterprise management process reengineering within the innovation ecosystem. The study starts with the construction of an embedded innovation ecosystem model, and it is then analyzed for threshold effects. The hexadecimal structure of fuzzy Petri nets is used to establish a diagnostic model of enterprise management processes, and problems in enterprise management processes are supervised through fault tree analysis so as to improve and optimize the management processes and process reengineering of the enterprise. The research on enterprise management process reengineering in this paper employs F-cluster analysis and fuzzy C-mean cluster analysis to fully demonstrate the relationship between the activities of every management process in the enterprise. Through the study, it is concluded that the open innovation and shared cognitive capital variables designed in this paper in constructing the embedded innovation ecosystem model have successfully passed the reliability and validity test and play an important role in enterprise innovation. In the case study of enterprise management process reengineering, the management process of enterprise A that implemented process reengineering realized intelligent transformation. The resulting total share of production cost of enterprise A decreased to 91.2%, and the overall cost of energy saving was about 10% or so.
Study on the Development Trend of Ideological and Political Education Discourse in Colleges and Universities in the Age of Network Media
Authors: Qiu Wenting
Published: June 2024

Network virtual information is complex and ever-changing, and people’s value orientation and way of thinking are unknowingly assimilated into multiple network scenarios. In order to fully analyze the discourse evolution of ideological and political education, this paper proposes a methodology for early warning and assessment of public opinion on the Internet in colleges and universities. Firstly, the risk assessment index system for university network public opinion is constructed, and different types of events related to university network public opinion are selected for analysis. The risk assessment index weights are calculated using the entropy weight method. The closeness was computed using the TOPSIS method, and the gray correlation coefficient and degree were calculated according to the gray correlation theory. The risk assessment level is classified using the k-means clustering algorithm. Among the risk assessment indexes of university online public opinion, the most influential index on the risk of university online public opinion is the amount of original participation of public opinion, and the weight of this index is 0.12. The second index is the attention of the public opinion publisher and the index of the publisher’s attention, and the weights are 0.114 and 0.11, respectively. Among the six university online public opinion events, the closeness is the highest one of event 6, which is 0.5872, and the grey correlation coefficients are 0.4395, 0.4072, 0.4952, 0.3864, 0.5321, and 0.6412. The results of the events evaluated through the college’s online public opinion early warning match the degree of influence of the actual public opinion, which indicates that the method can accurately predict public opinion. Colleges and universities can formulate targeted strategies according to the risk level and the factors that have an important impact on the development of public opinion to prevent the discourse of ideological education in colleges and universities from developing in a negative direction.
Research on the Innovative Model of Artificial Intelligence Technology Facilitating Sports Management in Colleges and Universities
Authors: Yan Bingcai , Xing Xuanshuo
Published: June 2024

The challenge of managing information in collegiate physical education has progressively escalated, thereby amplifying the complexities inherent in the sports management domains at higher education institutions. The advent of artificial intelligence technology heralds a promising avenue for the evolution of sports management frameworks within these settings. This study delineates the development of a specialized cloud platform tailored for the management of collegiate sports, encompassing aspects such as teaching and research management, quality assurance in education, general teaching affairs, practical instruction, and support for auxiliary teaching processes. This platform is engineered using the OpenStack cloud architecture, and it meticulously explores advanced scheduling algorithms for virtual machines to enhance platform efficiency. Systematic testing of the platform reveals critical performance metrics; notably, prior to optimization, the CPU utilization of the educational system spikes to 100% with a Time to First Byte (TTFB) reaching indefinite timeouts when concurrent accesses surpass 9, 000, leading to a system shutdown and cessation of service availability. Post-optimization, the platform robustly sustains business accessibility even under similar stress conditions. Furthermore, the empirical usage data of the sports management systems indicate predominant utilization for fulfilling work-related needs (0.796), psychological requirements (0.74), and the pursuit of enhanced operational efficiency (0.732).
Traditional Cultural and Creative Product Design Methods Combining Digital Art Elements
Authors: Xu Xiaoqing , Chen Jingxin
Published: June 2024

As a mode of perpetuating and revitalizing traditional culture, cultural and creative products have garnered widespread affection and recognition from the public. In the context of evolving societal trends and advancements in science and technology, the digitization of traditional cultural and creative products has emerged as a prominent trend. This study undertakes the digital design of these products, primarily focusing on the innovative application of a style transfer algorithm to traditional motifs, supplemented by their visualization through digital platforms such as augmented reality (AR) and virtual reality (VR). Furthermore, it facilitates intelligent consumer interaction via gesture recognition algorithms, thereby enhancing user engagement and experience. During the implementation phase, this research conducts comparative analyses of style transfer and gesture recognition within digital cultural and creative products. It also employs the Kano questionnaire to categorize and analyze user needs effectively. Notably, while the recall rate of the style transfer algorithm documented in this study remains below 0.9, it consistently achieves high precision, significantly enhances feature extraction capabilities, and improves the quality of the style transfer effects produced. Moreover, the static gesture recognition algorithm achieves an impressive average recognition rate of 98.2%. The dynamic gesture recognition algorithm, meanwhile, maintains an average recognition rate of 94% with a processing time of 3.2 seconds, balancing the demands of real-time interaction and accuracy effectively. This study systematically analyzes the significance of each requirement element across six dimensions, classifying customer needs for digital cultural and creative products into four distinct categories. Additionally, it delineates a viable pathway for the integration of digital art elements into the design of artistic and innovative products, setting a foundation for future innovations in this field.
Research on the Application of Deep Learning Algorithm Based Design Technology in Lacquer Art Teaching
Authors: Yang Xionghui , Fan Hui , Zhou Linzhi
Published: June 2024

In the era of big data, analyzing students’ classroom behavioral status is an effective means of enhancing teaching quality and performance. This paper proposes algorithmic research on student behavior recognition and detection, researches the related algorithms of convolutional neural network’s target detection, further improves the student behavior recognition algorithm of YOLOv5, and tests the optimization program of lacquer art teaching as a real-world test research in terms of students’ behaviors and teaching effects. After using the behavior recognition algorithm proposed in this paper, the students achieved certain results in the creative learning of lacquer artworks. The student’s final grades in lacquer art have a good improvement; the mean value of the final grades of the experimental class is 89.43, the mean value of the final grades of the control class is 85.32, and the mean value of the final grades of the experimental class is higher than that of the control class by 4.11. It can be concluded that the use of learning behavioral recognition algorithms in the teaching of lacquer art has a good effect on enhancement.
An analysis of the cultivating mode and its existing problems of university-enterprise cooperation for engineering majors in college in the information technology age
Authors: Liu Lingna
Published: June 2024

School-enterprise cooperation in talent cultivation enhances the quality of talent training, enriches and updates enterprise production resources, and promotes stable and healthy societal development. This paper, after reviewing relevant research materials, designs an evaluation index system for the university-enterprise cooperation talent training model for engineering majors in colleges and universities and employs the combination assignment method to calculate the weight value of each index. The comprehensive evaluation index method is used to assess the development level of the university-enterprise cooperation talent cultivation model. The cluster analysis is conducted for each college and university according to their measurement levels. The study results show that colleges and universities are classified into four types. Type A colleges and universities have the highest level of talent cultivation, though they only constitute 7.14% of the total. Type D colleges and universities are the least advanced in developing the school-enterprise cooperation talent cultivation model for engineering majors, with a score of 2.14 points. The correlation between the proportion of schools uniformly equipped with teachers’ terminals (0.493) and the development level of the university-enterprise cooperation talent cultivation model is the strongest. The optimization suggestions presented in this paper, in response to the research findings, provide an innovative and breakthrough direction for the university-enterprise cooperation talent cultivation model in colleges and universities.
Research on the Teaching Mode of College English Education based on Big Data Technology
Authors: Li Lei
Published: June 2024

Cognitive diagnosis, as an important means of personalized learning, has the advantage of being able to diagnose students’ knowledge levels and individual differences and provide targeted learning services. In this paper, we use the Markov Monte Carlo method to estimate the parameters in the FuzzyCDF model. Then, we calculate students’ English proficiency level and knowledge mastery by constructing fuzzy sets to realize the diagnosis and analysis of students’ English cognitive levels. Finally, the teaching model of English education in colleges and universities is built using the cognitive diagnosis method. The study shows that the teaching model can accurately and dynamically detect students’ cognitive level for each knowledge point in English teaching. After the implementation of the teaching model, the average score of the overall knowledge water of the students in the experimental class in English teaching reaches 77.25. There is a highly significant difference between it and the students in the control class (P=0.001<0.01), which indicates that the implementation of the teaching model improves the cognitive level of the student’s English learning. This paper presents a novel idea for the improvement of English teaching in colleges and establishes the foundation for improving the effectiveness of English learning.
Research on the Reform Path of “Three Teachings” of Higher Vocational Mathematics in the Context of Digital Transformation of Education
Authors: Chen Yeqin , Tan Jing , Liu Jia
Published: June 2024

According to the cultivation goal of vocational education, this paper analyzes the ontological connotation of digital transformation of vocational education from four aspects, namely, precise teaching, embodied learning experience, intelligent management mode, and visualization of evaluation path, and points out the direction of reform of “three-teaching” in higher vocational mathematics. The research subjects were selected and questionnaires were distributed to analyze the current situation of the “Three Teaching Reforms” of higher vocational mathematics under the perspective of digital education. The results summarize that 8 teachers believe that their ability to basically meet the needs of the “Three Teachings” reform, and the number of teachers who say that their ability is not quite able to meet the “Three Teachings” reform is the same, both accounting for 26.67%, while 53.33% of the teachers are still adopting traditional teaching methods and means. Teaching methods and methods. Based on the results of the current situation analysis, we propose a path for the reform of the three aspects of higher vocational mathematics under the perspective of digital education from the three dimensions of teacher cultivation, textbook innovation and teaching methods.