bluuebunny/crossref_metadata_2025_split huggingface dataset:
GPF Filtration Characteristics Considering Fractal Characteristics of Particles and Filters
Authors: Zhang Jian , Wang Lei , He Chao , Liu Xueyuan 
Published: April 2024

Abstract
To reduce the emission of fine particulate matter (PM) from gasoline engines, a gasoline particulate filter (GPF) filtration model that considers the fractal characteristics of both particulate matter and filters is designed and its filtration characteristics are analyzed based on several GPF filtration models. Based on the GPF filtration mechanism, a new mathematical model of fiber efficiency filtration is established after correcting the classical filtration formula based on correcting the particle size of particles and considering the relationship between the porosity of the fiber filter and the fractal dimension of the filter. Simulation of the filtration efficiency of the established mathematical filtration model is carried out to obtain visual filtration efficiency curves. The filtration efficiency and pressure drop of the model are analyzed, and the effects of parameters such as particle fractal dimension, filter fractal dimension, filter thickness, flow rate, and fiber diameter on filtration efficiency are also comprehensively analyzed. The results show that when the fractal dimension of particles is in the range of 1.8-2.8, the most penetrating particle size decreases with the increase of the fractal dimension of particles. When the particle size is small, the effect of fractal dimension on filtration efficiency is not obvious. When the particle size is larger than the most penetrating particle range, the larger the fractal dimension, the filtration efficiency increases obviously. Considering the relationship between the fractal dimension of the filter body and the porosity and the influence of each on the filtration efficiency, the optimal fractal dimension of the filter body should be between 1.82 and 1.925, and the thickness of the filter has some influence on the filtration efficiency. The slower the gas flow rate is, the better the trapping effect will be. However, considering the problem of automobile emission, a lower exhaust speed can be chosen. Increasing the fiber diameter can improve the trapping efficiency of the model, but will reduce the porosity of the trapping collective. Therefore, the fiber diameter should not be too large under the combined action.
Research on the Application of Big Data in College Physical Education Teaching and Training
Authors: Wang Dongle , Chen Yong 
Published: April 2024

Abstract
During college physical training, a substantial amount of data is continually generated through various activities. Historically, technological constraints have hindered the effective collection and utilization of this data, limiting its potential to enhance physical education (PE) and training through intelligent support. This study explores the application of data mining (DM) in managing and analyzing PE classrooms. It aims to streamline PE teaching management and evaluation, conduct in-depth analyses of students’ physical fitness data, and ultimately elevate the quality of school PE instruction. In designing a big data system for this purpose, data collection is prioritized based on its difficulty. To facilitate data analysis and presentation, a high-performance framework for storing and analyzing data is selected. The results indicate a 13.28% improvement in accuracy compared to traditional assessment models. By leveraging DM in PE classroom assessments, we can mitigate subjectivity and uncertainty associated with manual weight and correlation coefficient selection. This approach enhances the intelligence, adaptability, and usability of the assessment model, paving the way for more effective PE teaching and learning.
A Study of Big Data Prediction in Accounting Management Risks
Authors: Chen Jinhua , Cai Yuan 
Published: April 2024

Abstract
With the continuous development of big data technology, the application of big data prediction in enterprise risk management is getting more and more attention. After proposing a framework for applying big data prediction in accounting management risk, this study builds an accounting management risk prediction model based on the optimized particle swarm and random forest algorithms.Company X’s accounting management risk-related data is taken as a research sample, and the effect of the constructed accounting management risk prediction model is investigated by comparing the models and assessing the risk prediction accuracy. The study shows that the PSO-random forest model built in this paper has faster convergence and higher accuracy than the ordinary random forest, and the overall accuracy of accounting management risk prediction is 12% higher. The model’s accuracy in predicting the overall and various types of risks in Company X’s accounting management is more than 85%. The PSO-Random Forest model is a reliable tool for predicting accounting management risks, which is of great practical importance.
Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision
Authors: Gao Feng , Zhao Yuantao , Shangguan Fujun , Chen Xinfeng , Li Wenge , Xu Yanlong , Rong Xiancheng , Shi Shanshan , Yang Zhiyuan , Qu Wendong , Yu Zhonghan 
Published: April 2024

Abstract
Automated laser descaling represents a crucial advancement in marine maintenance, particularly in localized corrosion treatment. This research utilizes AH32 marine steel for corrosion testing, applying color feature extraction and the OTSU thresholding method, refined with morphological processing, to accurately delineate descaling areas. We have engineered a laser descaling protocol with an impressive 97% recognition accuracy through the innovative application of LabVIEW technology combined with machine vision. Implementing this technology promises enhanced corrosion resistance for marine vessels, setting a new standard for maintenance efficiency and quality.
Research on the Logic and Path of Red Culture in the Information Age for Promoting the Casting of Chinese National Community Consciousness ---- Taking Guangxi as an Example
Authors: Zhou Jinhua 
Published: April 2024

Abstract
Chinese national community consciousness is an important task and distinctive main line to strengthen and improve national work in the information age, and the role of red culture as an essential carrier of Chinese national historical memory to promote Chinese national community consciousness cannot be ignored. The transformation of red culture resources through digital empowerment is described in this paper, and the digital development path of red culture in the information age is constructed. Then, it analyzes the internal logic of red culture forging the sense of community of the Chinese nation, and utilizes the coupling model and regression analysis to study the path of red culture forging the sense of community of the Chinese nation. Finally, taking Guangxi Province of China as an example for empirical evidence, the comprehensive score of Guangxi’s red culture development rises from 0.268 in 2016 to 0.735 in 2022, an increase of 0.123, and the degree of coupling and coordination between red culture and casting a firm sense of community of the Chinese nation is in the range of 0.3 to 0.5. It indicates that the red culture and casting a firm sense of community of the Chinese nation of Guangxi Province have an excellent coordinated development trend in the period of 2016-2022, and the red culture for the promotion of Chinese national community consciousness is a good solution. The trend of coordination development provides a practical path for red culture to promote the development of casting Chinese national community consciousness.
Analysis of the Integration Path of Chinese Traditional Culture in College English Education and Teaching under the Background of Big Data
Authors: Su Tao 
Published: April 2024

Abstract
The cloud platform teaching system utilizes the optimized load balancing algorithm and DP algorithm to allocate and cluster massive teaching resources respectively, organize massive Chinese cultural knowledge scientifically and rationally into relevant network modules, and present it to English learners in a combination of graphic and text, audio and video. By investigating the selection of resource content and the quality of each functional module on the cloud platform, it can be found that the five primary cultural contents are generally well balanced, with the two that account for the most significant proportion of the content being cultural practices and cultural products, and the proportion of the other three varying little. Most students preferred the functional modules of Learning Center (84.3%), Resource Center, Extracurricular Paradise, and PK Pavilion, but only 12% preferred the Psychological Center module. The correlation coefficient between different factors and the intensity of Chinese culture penetration is the highest, 0.924. The average score of the degree of realization of the five teaching objectives in teaching practice is 3.838, close to “basically realized”. The scores of the four major dimensions of the university students increased significantly (p<0.05). The most significant improvement was seen in the quality of thinking dimension, with a mean increase of 2.678 points.
Construction of fuzzy mathematical model for judging financial indexes of private enterprises under the perspective of deep learning
Authors: Li Min , Tu Yanshi 
Published: April 2024

Abstract
This paper introduces a novel financial evaluation framework combining deep learning, hierarchical analysis, and fuzzy comprehensive evaluation to form the AHP-fuzzy comprehensive model. This model is designed to refine financial analysis by constructing precise evaluation indexes and determining weight values, specifically tailored for the financial management of private enterprises. Through a case study on Enterprise A, focusing on solvency, operational efficiency, and cash flow, we observed significant trends: a decline in the quick ratio from 0.92 in 2017 to 0.49 in 2021, a decrease in the accounts payable turnover ratio from 2.58 in 2017 to 2.01 in 2020, and a concerning downward trend in the cash to current liabilities ratio, culminating in −11.30% in 2020. These findings validate the effectiveness of the AHP-fuzzy comprehensive evaluation model in providing nuanced financial assessments for private enterprises.
Exploration of Talent Cultivation Mode for Industry-Teaching Integration in Higher Vocational Education Based on Multi-scale Feature Integration
Authors: Liu Weilu 
Published: April 2024

Abstract
Industry-teaching integration of vocational education is a systematic and innovative schooling system that effectively integrates the resources of the government, vocational colleges and industrial enterprises to realize the coordinated development of applied talent training. This study focuses on using multi-scale feature fusion to study the classroom attention of students in the talent training classroom. It sets up the classroom facial expression detection and head posture estimation modules to realize the intelligent teaching mode reform of teaching, learning and doing integration. Then based on the background of integration of industry and education, combined with the concept of triangular helix, explore the talent training innovation model of higher vocational education, and utilize the QCA method to carry out empirical analysis to explore the synergistic path of integration of industry and education and talent training. The average accuracy of the constructed model for identifying student expressions has been shown to be 93.56%. The original coverage (0.38651) of big business * project motivation * project constraints is the highest, which explains more than 38% of the resultant variables, which is about to be nearly 40% of the industry-teaching fusion projects obtaining high project effectiveness through this path. The synergistic model of industry-teaching integration and talent cultivation in higher vocational education is provided with new ideas by this study.
Synergistic development path of ecological civilization construction and rural revitalization
Authors: Ma Zhaoli , Guo Xia , Liu Xin 
Published: April 2024

Abstract
The core strategy for national development in the new era is the establishment of an ecological civilization. In contrast, the overall understanding of the three concerns facing rural communities in the new era is the rural revitalization strategy. The paper examines the present state of the linkage development between constructing an ecological civilization and implementing a rural revitalization strategy in rural areas. It does this by developing an evaluation index system and drawing on the theoretical underpinnings of the linkage development between the two strategies (rural revitalization strategy and ecological civilization construction). The entropy value approach is used to compute the comprehensive index and determine the weights of each index. The coupling and coordination degree models are used to measure the coordination degree and coupling correlation of the two, and the correlation factors between them are analyzed by constructing the gray correlation model. The findings indicate that overall, County A’s rural revitalization development level between 2012 and 2021 tends to be better, although overall levels are not very high. The comprehensive index of development for rural revitalization goes from 0.194 in 2012 to 0.754 in 2021. Yearly fluctuations in ecological civilization-building are evident, with the complete index of ecological civilization construction rising from 0.380 in 2012 to 0.945 in 2021. The overall trend is slowly increasing when the coupling coordination degree of 0.610 from 2015 is taken as a limit, but high-quality coordination is still a significant distance away.
Practical Exploration of College Students’ Ideological and Political Education under the Perspective of Collaborative Parenting in Colleges and Universities
Authors: Wang Cheng 
Published: April 2024

Abstract
Aiming at the problems existing in the ideological and political education of college students, this paper puts forward the research on the ideological and political education of college students based on CIPP evaluation. From the CIPP evaluation, the fundamental value of ideological and political education evaluation of “enhancing output” and the evaluation objectives of effect, efficiency and effectiveness are clarified, and the four-dimensional evaluation content framework of ideological and political education of college students is formed. An evaluation index system consisting of 4 first-level indicators, 11 second-level indicators, and 36 third-level indicators was finally created by selecting experts. Through the second round of expert consultation, we obtained the results of assigning the degree of importance of indicators at all levels. Then we finalized the weights of indicators at all levels using the hierarchical analysis method. Based on the evaluation index system, colleges and universities’ ideological and political education is analyzed through examples. The results show that the overall evaluation scores of the three colleges and universities are all in the “ good “ range, with the scores of 78.3005, 80.4134 and 81.6171, respectively. This study aims to provide guidance and reference for the practice of ideological and political education for college students, and to promote the standardization and sustainable development of ideological and political education. This study aims to provide guidance and references for the practice of ideological and political education of college students, and promote the standardization and sustainable development of ideological and political education.
Research on Intelligent Monitoring Technology of Municipal Road and Bridge Engineering Construction and Quality
Authors: Wang Dong 
Published: April 2024

Abstract
This study addresses quality control challenges in municipal road and bridge construction by introducing an intelligent monitoring approach. Utilizing three-dimensional laser scanning, we monitor roadbed settlement and deformation accurately. Compaction quality is assessed through vibration acceleration metrics from milling operations, applying a compaction monitoring value. Furthermore, a combination of regression models and stochastic processes in a Kriging function model evaluates the reliability of detecting bridge steel corrosion. In J city’s political road bridge analysis, we observed a differential settlement with the least affected areas showing subsidence within 250mm. In contrast, the most impacted point, B1, recorded a settlement of 2597mm in December. Compaction quality monitoring revealed that control error margins for E and CV indicators lie between −2.65% to 2.35% and −2.7% to 2.6%, respectively, demonstrating a narrower error range for E compared to CV.
Analysis of the Effectiveness of Generative Adversarial Technology in Intelligent Buildings in terms of Design
Authors: Wang Lu 
Published: April 2024

Abstract
This paper combines the training method of generative adversarial network and the robust row layout design method of building based on CGAN, and selects pix2pix model to carry out the spatial layout design of intelligent building, to explore the actual effect of intelligent building design. Using the building layout design of a generative adversarial network, different parameters and residual block numbers are set to compare the impact of building texture generation. The intelligent building using GAN technology is selected to carry out the spatial design characterization of both Light and shadow and luminance, and the SD spatial environment evaluation factor is used to refine the discussion of the spatial design experience of intelligent buildings designed using generative adversarial technology. The Light and shadow distribution of intelligent building design is mainly presented as four types, in which the light and shadow location types of reading room, hall, rest space and exhibition hall are primarily offered as horizontal division types. In a public intelligent building, the rest area is separated into 25% of the distance and 25% of the vertical division, with an improved design balance.
An Inquiry into the Factors Influencing the Role of Marxist Chineseization on the Discourse System of Chinese-Style Modernization
Authors: Zhang Haili 
Published: April 2024

Abstract
This paper starts from the definition of the concepts of both Marxism and Chinese-style modernized discourse system, and carries out the division of independent variables, control variables and dependent variables to pave the way for the construction of the multiple linear regression model later. Based on determining the variables, the Pearson correlation coefficient formula is used to obtain the correlation between the variables, followed by the construction of the multiple linear regression model and other methods such as significance test to analyze the influencing factors of Chinese-style modernized discourse system. The results show that all the regression coefficients are positive, indicating that the six independent variables positively influence the construction of modernization discourse. The standard regression coefficient of “Deng Xiaoping Theory” is 0.227, which is significantly higher than the regression coefficients of the other indexes, indicating that Marxist political economy dimension of “Deng Xiaoping Theory” has a positive influence on the construction of modernization discourse, and that “Deng Xiaoping Theory” is more important than the other indexes. Deng Xiaoping Theory” has the most significant influence on the modernization discourse system. The Chinese modernization discourse system is a system that promotes both the development of revolution and construction practice, as well as cultural modernization and the generation of people’s subjective consciousness, as revealed by this study.
An analysis of the effectiveness of linguistic ecosystem building on local landscape language governance
Authors: Xu Haoran , Zhang Xinyu , Wang Yifang , Yang Zihan 
Published: April 2024

Abstract
With the social and economic development and the improvement of people’s living standards, people have put forward higher requirements for the governance of the ecological environment, and the goals for the management of local landscapes are becoming more and more diversified. This paper constructs a dynamic and coordinated GRL governance model according to the characteristics of local landscape language. It uses the gray correlation model to explore the correlation between the constituent factors of the damaging ecological environment effect. Taking the loess hills landscape of S province as the research object, the governance effect of ecological environment construction on vegetation, soil, and landscape patterns is explored. The study shows that after the environmental environment management, the number of landscape patches in the region increased by 18, and the fragmentation index of each landscape increased by 0.0475 Block / km2 on average, which increased the spatial structure complexity of the landscape. The study’s findings can provide theoretical guidance for managing local landscape language comprehensively and have a specific scientific basis.
Research on enterprise talent ladder construction strategy based on multidimensional data analysis methodology
Authors: Zhang Qiulin , Zhang Qiuli 
Published: April 2024

Abstract
In the face of increasingly fierce competition for talents, strengthening the cultivation of high-potential talent echelon and improving the core competitiveness of enterprises have become the most serious, urgent and realistic issues. The competency iceberg model and the talent echelon construction process are combined in this paper, and a talent competency model and a hierarchical thesaurus are established. For the influencing factors and comprehensive evaluation of talent competency elements in enterprise talent ladder construction, this paper introduces the entropy weight and TOPSIS methods for assessment. It explores the relevant factors of talent competency through multiple linear regression model. The research example is Enterprise Z, and appropriate research data is gathered through questionnaires to examine the development of enterprise talent echelon construction based on multidimensional data analysis technology. The study found that among the elements of talent competency, the weight of knowledge and skills reaches 0.3718, and the highest relative closeness of the ten middle managers is 0.798. The enterprise’s talent competency will significantly increase by 0.772 percentage points when the job evaluation process rises by 1 percentage point. The enterprise talent ladder construction needs to improve the corresponding job assessment process, establish a sustainable talent reserve system, and smooth career development channels to effectively enhance the enterprise talent ladder construction capacity.