bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the application mode of information technology in the course of deepening design of assembled concrete structures using OBE-CDIO as a framework
Authors: Ke Pu , Zhao Lingyi , Liu Bingyue 
Published: October 2024

Abstract
Assembly concrete deepening design, as an important part of the assembly building construction process, is an important direction for cultivating applied undergraduate talents. After studying the OBE-CDIO education model for a brief introduction, based on the course of deepening the design of assembly concrete structures, civil engineering students in an institution are investigated to carry out the degree of course identification, and the recovered data are analyzed for overall description and variability. The important teaching elements of information technology applications are then screened, and the ability of the sample students to match the teaching elements is measured. The OBE-CDIO framework-based teaching model was strengthened and the students’ level of course identity and competency match with teaching elements were assessed again after it was implemented. After the teaching practice was put into place, the overall level of student understanding of the course on improving the design of assembled concrete structures rose by 5.15 percent, and the matching level of skill for teaching elements based on the use of technology rose from 84.81% to 93.60%. The analysis shows that the teaching mode based on OBE-CDIO can promote the student’s ability to apply information technology while deepening their design of assembled concrete structures.
Genetic Algorithm-Based Assessment of the Legal Compliance of Regional Arbitration Pathways in Cross-Border Dispute Resolution
Authors: Wang Leiming 
Published: October 2024

Abstract
This paper uses the IF-IDF and word co-occurrence model to extract and process high-frequency words from the legal compliance text of cross-border dispute arbitration. The LDA theme model then combines with it to extract the theme of legal text compliance, which is then used to construct a cross-border dispute arbitration legal compliance evaluation index system. After that, the genetic algorithm is employed to optimize the BP neural network, construct the GA-BP legal compliance evaluation model, and conduct training simulation. The results show that the word frequency of regional, arbitration, cross-border, fair, consultation, maintenance, reasonable, system, perfect, and conformity is up to more than 3,000 times, which is a high-frequency keyword in the legal text of cross-border dispute arbitration. The output values of the three legal sample cases based on GA-BP are very compliant, compliant, and non-compliant, indicating that the regional arbitration path’s legal compliance in cross-border dispute resolution needs to be improved.
The Construction of Higher Vocational English Classroom Teaching Quality Assessment System under the Background of Intelligent Educational Technology
Authors: Tan Bo 
Published: October 2024

Abstract
This paper introduces the application and development of intelligent education technology. The algorithm of adaptive mutation, which is based on the traditional genetic algorithm, is proposed, and various mutation probabilities are employed during the calculation process at the right time. The genetic algorithm of adaptive mutation is used to optimize the initial weights and thresholds of the BP neural network. Then, the data-based entropy value method is introduced. The a priori guidance samples are obtained through the entropy value method. Then the adaptive mutation genetic algorithm is used to optimize the BP neural network model to learn the knowledge of the a priori samples. The teaching quality evaluation model based on the combination of the three algorithms is established, which completes the improvement of the existing English teaching quality evaluation system for a certain higher-level job. The English classroom teaching quality assessment system in this paper resembles the expert assessment scores. The implementation also prompted teachers to participate in learning seminars to learn advanced teaching concepts. It shows that the assessment results of the teaching quality assessment system proposed in this paper are reliable and can motivate teachers to work towards the goal of improving teaching quality.
Research on the optimization of teaching strategy of virtual reality and augmented reality technology in the training of construction craftsmen personnel training
Authors: Zhao Lingyi , Liu Bingyue , Ke Pu 
Published: October 2024

Abstract
The teaching forms of colleges and universities in the informationization era are diverse, and virtual reality and augmented reality technology appear in the field of teaching technology as a new type of teaching media and have become a hotspot of technology application in education and teaching. The article proposes a teaching strategy for training architectural talent through virtual reality and augmented reality technology. This article adopts the questionnaire survey method and correlation analysis on the architecture students of Zhengzhou University, which is divided into training class and ordinary class, and analyzes the data of three teaching strategy variables, namely, virtual experiment, virtual technology, and virtual training, in the training class, as well as the correlation between each variable. The results show that the overall competence is benign after the students enter the construction competence training, and the correlation coefficients of the training class in two different stages are between 0.6 and 1, and the variables are strongly correlated. Subsequently, a satisfaction survey on the effect of teaching strategies was conducted. The students were more satisfied with the teaching strategies and methods proposed in this paper. The proposed teaching strategies also improved the problem-solving ability of the students, such as the average score of the students in the cultivation class (M=5.346) was higher than the average score of the general class (M=4.264) and also improved the students’ ability to think innovatively in architecture, for example, the fluency of the students’ thinking was improved from stage 0.58 in Stage 1 to 1.23 in Stage 4, a significant improvement.
Network Architecture and Security Assessment in Industry 4.0 for Smart Manufacturing
Authors: Zhang Huashuai , Zheng Wei 
Published: October 2024

Abstract
In this paper, we propose a centralized SDN network architecture under a smart factory for the problems under the traditional industrial IoT architecture and carry out the security analysis of industrial IoT to improve the performance of the smart factory network. Briefly describing the industrial SDN network architecture, combined with the design of a blockchain system for smart factories, the hash algorithm and asymmetric encryption algorithm are introduced to anonymize and protect the data. For traditional SDN, propose a blockchain-based SDN and analyze the probability of state transfer between SDNs. In order to solve the security problem at the SDN control level, the blockchain-based distributed SDN control model is proposed, and the PBFT consensus algorithm is introduced to realize the blockchain consensus-based multi-controller decision-making model. Add the MD5 algorithm and compare its performance with the SHA256 algorithm. Set up Adder modules with different bit widths and CSA Tree modules with different bases to calculate the encryption time of the RSA algorithm for various combinations. Set up simulation experiments to compare different malicious nodes and the average trust value of the consensus mechanism proposed in this paper for abnormal nodes in an SDN multi-controller. From the results, it can be seen that the computational speed of the RSA system is the fastest for the system implemented by Montgomery’s algorithm in base 16 and bit width 32 bits, and the time to complete the encryption process of 1024 bits once is only 0.97 ms. However, when the number of nodes is controlled in [0~5000], the rejection rate of abnormal nodes by the PBFT consensus algorithm in this paper basically maintains at about 92%. The consensus node designed and proposed in this paper is able to reject error nodes effectively and effectively secure the SDN smart factory network architecture.
Research on Sustainable Innovation and Cultural Integration of Textile Apparel Supported by Information Technology
Authors: Zhou Yuanyuan 
Published: October 2024

Abstract
In the field of apparel design, the traditional manual work method can no longer meet the requirements of production and market, and the application of information technology in textile and apparel design has become increasingly important. The article outlines the significance and value of integrating cultural elements in textile apparel design and evaluates the significance and applications of information technology in textile apparel design. From the perspective of cultural genes, the article explores the cultural design factors in textile apparel design and establishes a cultural gene pool for textile apparel design. Based on the DCGAN model, the DCGAN model is improved by optimizing the loss function and residual module to construct the textile clothing style migration model. In order to verify the effectiveness of the above model in the sustainable design of textile apparel, the style migration of textile apparel and visual similarity were verified, and the attributes of sustainable design needs, importance, and satisfaction of textile apparel were evaluated. The IS values of the improved DCGAN model for textile apparel design were 0.428 and 0.439, and the visual similarity scores of the sample and migrated apparel ranged from 6.21 to 7.03. The coefficient of incorporating cultural themes reached a maximum of 75.19%, and the subjects’ satisfaction score with the culture of the textile dresses was the highest at 6.23 points. Relying on information technology can explore the connotations of cultural elements and provide a diversity of textile apparel design development.
Visual Simulation of Composite Material Performance Inspection and Interior Decoration Based on Sensor Image Recognition
Authors: Xu Zhimin , Zou Daitie 
Published: October 2024

Abstract
Wood-plastic composites, as green eco-materials, are widely used in the field of home and building materials, but with a single function. Phase-change heat storage materials can store or release heat through a physical phase transition to achieve energy savings and emission reduction. In this paper, plant fibers are used as the matrix, which is introduced into wood-plastic composites to construct a function/structure-integrated shaped phase change heat storage wood-plastic composites and endow the wood-plastic composites with the function of storing and releasing heat. The performance of wood-plastic composites is examined using image recognition and X-ray imaging. Simulating and analyzing the thermoregulatory and energy-saving functions of phase change wood-plastic composites in the building heating environment was done by establishing a heat transfer model. Finally, the material was visualized and applied to the interior decoration. The results show that the apparent density of the wood-plastic composite material is 1.15 g/cm3, the tensile property is 42.8 MPa, the flexural modulus is 2455 MPa, and its comprehensive physical and mechanical properties are better than those of the solid wood core when the amount of plant fiber added is 40 phr. At the same time, the thermal conductivity of this material is improved by 7.74% compared with the traditional solid wood core, which shows good energy saving and temperature regulation effects and possesses the potential of energy saving when applied in interior decoration.
The Influence of Complex Flow on Axial Force in Rotor-Stator Cavity of Centrifugal Compressor with Radial Ribs
Authors: Luo Yifan , Li Shuming , Zhang Hong , Kong Qingguo , Zhao Qiang 
Published: October 2024

Abstract
Research shows radial ribs can reduce the axial force acting on the centrifugal compressor but do not involve its impact on the flow of the rotational-stationary disk cavity. By establishing a coupling model of the centrifugal compressor and the ribbed rotational-stationary disk cavity, the flow characteristics of the ribbed rotational-stationary disk cavity and the effect of the complex flow in the cavity on the axial force were studied. The ribbed rotational-stationary disk cavity is in line with the basic flow structure and characteristics of the Batchelor flow pattern, as demonstrated by the results. The radial balance equation derived based on this flow pattern is suitable for describing the radial motion of the fluid in the ribbed cavity; the rib can increase the tangential velocity in the rotating core center and elevate the proportion of core center in the cavity while weakening the effect of the boundary layer in the region close the rotational disk, which increases the swirl ratio in the cavity; based on the radial balance equation, the mechanism of radial ribs on reducing the axial force was proposed from the perspective of complex flow. The mechanism is as follows: By increasing the swirl ratio, the ribs cause the radial pressure gradient in the cavity to increase, and the average pressure acting on the rotational disk surface is reduced, which leads to a reduction in axial force.
Optimization of CDA Blade Based on Surrogate Model
Authors: Meng Weishuai , Li Shuming , Zhang Hong , Kong Qingguo , Zhao Qiang 
Published: October 2024

Abstract
In order to shorten the design cycle of compressor blades and improve the performance evaluation and efficiency of compressor blade profiles, a blade database using CFD based on the key parameters of the arc in the CDA blade profile and the inlet conditions of the blade profile is constructed. Based on this database, a model for the total pressure loss coefficient surrogate that can predict variable operating conditions is proposed. By combining the total pressure coefficient surrogate model with genetic algorithms, efficient optimization of CDA blade profiles can be achieved. By comparing the prediction results of the total pressure loss coefficient surrogate model with the CFD results, it was found that the mean square error of the prediction was between 0.03% and 0.04%, with a correlation coefficient higher than 0.97. The optimization results show that using this method for optimization reduces the total pressure loss coefficient of the original blade profile by 15% while significantly reducing optimization time and greatly improving optimization efficiency.
Research on the Application of 3D Animation Technology in the Digital Reproduction and Brand Image Construction of Guibei Ancient Village Cultural Heritage
Authors: Sun Yan , Huang Guoan 
Published: October 2024

Abstract
The inheritance and protection of the historical, cultural and folk art values of ancient villages in development are generally carried out in three aspects, namely, architectural elements, landscape elements and living elements. This paper applies a 3D animation scanner to collect the point cloud data of Guibei ancient villages and completes the pre-processing of the point cloud data by using the algorithm of SAC-IA coarse alignment + ICP fine alignment for the alignment. After that, the Poisson equation is optimized by using Gaussian filtering to realize the point cloud surface reconstruction of Guibei village buildings, and the cultural information texture extracted by the K-Means clustering algorithm is mapped to realize the digital reproduction of the cultural heritage of ancient villages in the Guibei. On this basis, the cultural brand image of Guibei ancient villages is constructed from multiple perspectives by collecting tourists’ cognitive data about them. The accuracy of the established 3D animation model is as low as 88.02% and as high as 97.21%, the total fluctuation of completeness ranges from 84.93% to 96.43%, and the time used for modeling basically stays below 2.9h. It has a high awareness of its natural landscape (26.44%), humanistic landscape (37.33%), folk culture (20.57%), service facilities (9.23%), characters (4.40%), and specialty food (2.03%). The study provides a theoretical and practical foundation for communicating images of ancient villages.
Risk prediction modeling in the context of machine learning for injury prevention in sports
Authors: Zhang Guojie , Zhao Zhipeng , Xie Fei 
Published: October 2024

Abstract
Machine learning plays an increasingly important role in the field of disease risk prediction due to its optimization advantages. This paper proposes deep confidence network optimization based on the early warning model constructed by the neural network and chooses the restricted Boltzmann machine and backpropagation algorithm as the theoretical basis of deep confidence network construction. The deep confidence network is established through the construction and stacking of RBM, and backpropagation is used to fine-tune the network parameters to generate the model. Combined with the incidence rate data of sports injuries of physical education majors and the injury classification of the deep confidence network algorithm, the test data application results verify that the algorithm has a good effect of early warning in case of sports injuries. The survey data showed that the incidence of sports injuries was 228%, and the main risk indicators causing sports injuries were not drinking alcohol (95.31%) and incorrect sports knowledge (92.09%). The model correctly predicted 94.15% (95% CI: 0.9204, 0.9608) with sensitivity and specificity: 0.954 and 0.923, respectively.
Analysis of Influential Factors of Tourism Culture Development under the Orientation of Territorial Tourism
Authors: Fan Xuezhi , Zhang Jie 
Published: October 2024

Abstract
Tourism development is one of the main means of productive cultural protection, and culture is an important factor in the attractiveness of tourist attractions. With the development of the concept of regional tourism, China’s tourism and culture have moved to a new stage. In this paper, we screen the indicators from the perspective of industrial income, the number of institutions, service teams, etc., and use the entropy weight method with relevant data to measure the level of tourism and cultural development and tourism priority. Then, the influence factors of tourism and culture development are discussed by combining the least squares regression model and geographically weighted regression model. Finally, to ensure the reliability of the conclusions, the sample reconstruction method and the supplementary variable method are used to conduct the robustness test and endogeneity test. According to the regression results, the regression coefficients for market demand and government support are positive and pass the 5% significance level test. Government support and market demand are currently the main influencing factors for the development of national tourism and culture.
Research on Public Sector Information Resource Management Innovation in the Age of Digital Economy
Authors: Zhou Chao 
Published: October 2024

Abstract
As strategic resources, public sector information resources are increasingly in demand in the information society in the era of the digital economy, and their configuration and management have gradually become a hot topic of concern for the government and society. To enhance the management efficiency and information-sharing ability of public sector information resources, a public sector information resource management system is established with the support of information technology. A public sector information resource data encryption transmission scheme is created through the combination of cloud platform technology for integrated management of information resources and a key encapsulation mechanism. The public sector information resource sharing scheduling model is designed with the optimization objective of maximizing the utilization of information resources, and the fireworks optimization algorithm is used to optimize its fitness value function to obtain the optimal information resource sharing scheduling strategy. When the encrypted transmission of public sector information resources is carried out, the probability of information leakage is only 1.28%, and the information protection efficiency is up to 7.88%. The throughput of the sharing model for information resources can be up to 533.78MB, and the communication overhead for sharing information resources is less than 20%. The establishment of a public sector information resource management system based on information technology effectively enhances the management efficiency of information resources in the public sector and promotes the efficient sharing of information resources.
Study on the Role of Government Auditing in Promoting Green Accounting and Sustainable Development
Authors: Fei Jie 
Published: October 2024

Abstract
Since the reform and opening up more than forty years ago, China has become the second-largest economy in the world. The rapid economic growth has brought the bitter fruits of an industrialized economy, resulting in serious environmental pollution and over-exploitation of resources, etc. The severe environmental conditions and economic downward pressure have forced the Chinese government and people to pay attention to the sustainable development issue. This paper focuses on the role of government audit in green accounting and sustainable development and proposes two research hypotheses, respectively, that government audit is conducive to enhancing sustainable development and that government audit promotes sustainable development by improving the development of green accounting in enterprises. This paper’s explanatory variables are set by constructing the domain-wide productivity index of the SBM directional distance function. The benchmark regression model and the mediation effect model are both used to test the two hypotheses. The two research hypotheses are verified individually using the empirical analysis method. Combined with the impact of government auditing to promote sustainable development, the role played by the government as a facilitator is analyzed. The correlation coefficient between government auditing and the level of sustainable development is 0.0275, which is significant at the 5% level. And government auditing expenditures can promote the level of sustainable development, which is consistent with hypothesis 1. At the same time, when the intensity of government auditing is less than the threshold value of 2.1525, the impact coefficient of green accounting on sustainable development is −0.0753. When the intensity of government auditing is greater than the threshold value of 2.1525, the impact coefficient is 0.2458, which indicates that when the intensity of government auditing is greater, the regulatory function can play a good role, so the impact of green accounting on the sustainable development of the region plays the incremental dynamic regulatory role, hypothesis 2 is valid.