bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Teachers’ Roles and Skills in Teaching English in Colleges and Universities under the Rasch Model
Authors: Liu Liwen 
Published: June 2024

Abstract
The proficiency of English teachers in accurately understanding their roles and employing diverse teaching skills is crucial for enhancing the quality of English instruction. This study utilizes the Rasch model, a component of the Item Response Theory (IRT), to develop assessment scales aimed at evaluating English teachers’ role orientation and teaching skill levels. We selected 267 English teachers from higher education institutions in X province as participants. The assessment instruments, designed around these scales, were disseminated via the Questionnaire Star platform and analyzed using Excel and SPSS software. This research examines the application of the Rasch model in assessing the role orientation and teaching skills of English teachers. It specifically investigates the scales’ unidimensionality, goodness of fit, and scoring quality across various levels. The results from the unidimensionality test of teachers’ role orientation skills yielded weighted fit values ranging from 0.90 to 0.97, with logit results for teachers’ role orientation skills spanning from -2.065 to 4.651. Furthermore, the loadings for teacher skill levels remained within the acceptable range of ±0.6. Interestingly, the discrepancy between the logit values of the strictest and most lenient teacher raters was significantly smaller (1.189 logits) compared to that of student raters, which was 2.562 logits. The findings suggest that employing the Rasch model to analyze English teachers’ role orientation and skill levels can significantly support the enhancement of teachers’ capability to grasp their educational roles and improve their teaching skills.
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.