bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Learning Based Image Recognition Technology for Civil Engineering Applications
Authors: Yang Delan 
Published: February 2024

Abstract
In this paper, we use Caffe framework to implement the improved Faster R-CNN recognition technique for building images in civil engineering under Linux system and add feature pyramid network and regional feature aggregation into the ResNet-50 network and ResNet-101 network, respectively, to strengthen the training effect, and establish ResNet-101+FPN+ROI Align image recognition technique. Simulated crack experiments and concrete surface quality defect detection experiments confirm that the ResNet-101 FPN ROI Align method is accurate and detects defects at a high rate. The method established in this paper has a minimum error of only 0.4% in the simulated crack experiment, and the detection rate is much higher than that of other detection methods when detecting quality defects on the concrete surface, and the accuracy can reach up to 94% at the same time. In civil engineering, the image recognition technology established in this paper has practical significance and high application value, as demonstrated by the experiment.
Construction of Knowledge Mapping of College Students’ Civic and Political Informatization Education in Colleges and Universities
Authors: Zheng Yu 
Published: February 2024

Abstract
This paper combines the knowledge related to the Knowledge Graph to store and manage the ideological knowledge in the schema layer in the form of an ontology repository. The Bootstrapping-based extraction method has been improved for entity relationship extraction at the data layer, and semantically constrained relationships have been added to reduce the problem of extraction bias. Civics education’s characteristic attributes are identified through attribute extraction using crowdsourcing. For the entity alignment problem in entity extraction, the relationship triad and attribute triad are jointly used for entity vector characterization, and the entity alignment model based on BERT and TransE is proposed. Finally, in the process of testing knowledge mapping, more than 70% of college students were satisfied, and the percentage of college students agreeing and strongly agreeing in the dimensions of knowledge construction were 68.81%, 77.92%, and 75.63%, respectively. In the six dimensions of positive psychological quality of college students who have used knowledge mapping, there is a significant increase in the data of the courage dimension from 3.4 to 4.14, and the other dimensions have also increased. The performance of the knowledge graph constructed in this paper for civic information education is outstanding.
Exploring the Impact of Digital Economic Development on Green Energy Consumption of Rural Residents Using Principal Component Analysis Methods
Authors: An Jing 
Published: February 2024

Abstract
The digital economy has become an important driving force for green energy consumption, and its impact has covered rural areas. This paper establishes a comprehensive evaluation model of green energy consumption based on group principal component analysis, and at the same time establishes evaluation indicators of the green energy consumption level of rural residents to explore the impact of the development of the digital economy on green energy consumption. Based on the comprehensive evaluation model and evaluation indexes, the green energy consumption level of rural residents in the “2+26” cities and the three major economic zones is analyzed. The rural areas with higher green energy consumption levels by 2022 include Tangshan, Jining, and Kaifeng, with 0.794, 0.788, and 0.852, respectively. The willingness of rural residents in the three major economic zones to consume green energy is in line with the trend of the degree of development of the digital economy, in which the willingness to consume green energy is highest among rural residents under the age of 20 in the eastern region, with an average of 4.81. At the same time, the development of the digital economy has a direct effect on the level of consumption of green energy. The regression coefficient of the direct effect on the level of green energy consumption is 0.289. Overall, the development of the digital economy has a greater promotion effect on the level and willingness of rural residents to consume green energy.
Optimization of product marketing and management path of cross-border e-commerce enterprises relying on big data technology
Authors: Luo Yangxue 
Published: February 2024

Abstract
Precision marketing is an intrinsic motivation for enterprises as a strategic consideration and guiding principle. In this paper, we first constructed a cross-border e-commerce precision marketing and management strategy based on big data technology. We mined user data and analyzed user behavior and characteristics. Moreover, the initial group division of users is carried out to realize the construction of user segmentation and user portrait, followed by the prediction of user purchasing behavior based on the Stacking algorithm and the use of a collaborative filtering algorithm to carry out accurate recommendations for different user groups. The effectiveness of the marketing management strategy is evaluated based on the level of customer value perception of Enterprise H. By using regression modeling, the impact of the marketing management method on customer loyalty and user purchase intention is investigated. The results show that the perceived level of each dimension of precision marketing is between (4,5.6), and the perceived risk is 3.657. The degree of explanation of the precision marketing model on the customer’s willingness to buy is 78.8%, and the t-value significance is 0.005, which reaches a significant level, indicating that the marketing management model is effective. The purpose of this study is to provide practical marketing management suggestions for enterprises that can obtain and maintain competitive advantages in fierce market competition, which will promote enterprise performance improvement and stable growth.
Research on the Application of Information Fusion Technology in the Choreography of Hezhen Dance
Authors: An Lina 
Published: February 2024

Abstract
The difficulty of creating and choreographing group dances lies in the need for dozens or even hundreds of actors and choreographers to work together to complete the workload and its complexity. A computer-aided dance creation and choreography technology based on information fusion technology is proposed in this paper as a solution to this problem. The movement path is extracted from the movement trajectory of the character’s root joints using information fusion technology. The interactive interface is used to create the target path, which is then mapped to the dance movement. The actor’s dance is freely edited based on the characteristics of their body’s movement posture. To confirm the effectiveness of the method, the Herzhe ‘Fish Eagle Dance’ dance movements were tested with dance creation and choreography technology. The results show that the spatiality intensity of the first and second movement segments was found to be 0.1618 and 0.4555, respectively, during the choreography process. The standard and measured values of the movement angle of the left arm joints appeared to have the maximum difference value of 0.19771 between 9~10 s. The choreographers can use these resultant parameters to optimize the cumbersome, repetitive rehearsal process by providing data references.
Promoting the Reform of Civic and Political Education to Improve the Quality of Talent Cultivation Based on the Background of Deep Learning
Authors: Chen Yujun 
Published: February 2024

Abstract
With the rapid development of the times, civic education and talent cultivation have become an important goal of the reform of civic education, and the reform of civic education under the background of deep learning and the improvement of the quality of talent cultivation has also become the research direction of today’s education reform. Based on the deep learning background, this paper constructs a deep learning model of civic and political education that combines the elements of the education model and evaluation elements. Based on the objectives and specifications of talent cultivation, the curriculum system of civic and political education is designed in reverse, through the framework of deep learning Civic and political education reform talent cultivation combined with factor analysis and multiple linear regression analysis to construct a deep learning-oriented evaluation system for talent cultivation in Civic and political education. The evaluation data are analyzed through practical verification, and in the results of the statistical analysis of the Civic and Political Education Reform, the standard deviation of the overall average score is 0.51 and less than 0.65, and its internal consistency is high. In the results of the talent cultivation survey and analysis, it can be seen that the frequency of scores from 131 to 140 is the highest, the frequency of scores from 151 to 160 is the lowest, and the overall number of high scores is higher, comparing the quality of the effect of talent cultivation, the level of achievement, student enthusiasm, the level of cultivation of comprehensive competence and student satisfaction have been improved compared with the traditional Civic Education. This study can effectively improve the quality and effect of talent cultivation, promote the reform process of Civics education in the context of deep learning, and provide practical significance for the reform of Civics education.
Challenges and Ability Enhancement of College Students’ Employment and Entrepreneurship in the Context of Big Data
Authors: Zhai Wenqiu 
Published: February 2024

Abstract
College students’ entrepreneurship and employment have been considered an important factor in the country’s social and economic development. This paper firstly establishes a multivariate linear regression model, uses the least squares method and the great likelihood estimation method to estimate the parameters of the model, and uses the T-test and F-test to test the model. Then, we take the employment and entrepreneurship level of students in 10 colleges and universities in X urban area as an example to explore the feelings and reactions to the pressure of employment and entrepreneurship of college students and dig out the challenging factors faced by students’ employment and entrepreneurship. Finally, the regression model was used to test the influence of each factor on college students’ entrepreneurship and employment and to explore the cultivation path of college students’ employment and entrepreneurship ability enhancement. The raw mean score of college students’ employment and entrepreneurship pressure feeling is 3.046±0.418, and the explanatory strength of entrepreneurial environment and personal traits on employment and entrepreneurship intention is 43.7% and 37.7%, respectively, which indicates that personal traits and employment and entrepreneurship environment have a significant influence on college students’ employment and entrepreneurship. This study helps to promote the reform of innovation and entrepreneurship education in colleges and universities, improve the talent cultivation mechanism, and provide a positive reference value for the research on the cultivation of employment and entrepreneurship ability of college students.
Exploring the Impact of Digital Shared Services in Finance on Corporate Treasurers’ Job Anxiety
Authors: Guo Yuying 
Published: February 2024

Abstract
It has become a trend for enterprises to establish financial shared service centers for digital financial transformation, but the emotional impact of this transformation on the original financial staff of enterprises has been neglected. In this paper, we collect relevant intranet texts of enterprises, mine the emotions of the collected texts through the LDA theme algorithm, use the improved LSTM model to classify and identify the emotions of the collected texts, and construct the LDA-BiLSTM sentiment analysis model to analyze the anxiety condition of the financial staff of enterprises. The efficiency of LDA can be improved by using the weighted median to deal with outliers. Two LSTM networks are combined to form a BiLSTM network to improve the problem of inaccurate judgment of sentiment indicators by a single LSTM. Finally, the model is used to empirically analyze the emotions of financial staff before and after the transformation of an enterprise’s financial digital service. Negative feelings that are linked to anxiety have an accuracy rate of 95.23%. The frequency of separation after the transition was as high as 0.5, and the frequency of dismissal was as high as 0.423. Overall sentiment scores were lower than 0.7. After the transition, the number of people worried about negative feelings related to anxiety rose from 32% to 64%. Finance professionals are experiencing a significant increase in anxiety due to the post-transition of the enterprise.
Research on the efficiency evaluation of rural festivals based on DEA modeling
Authors: Qiao Man 
Published: February 2024

Abstract
As a special form of cultural tourism, rural festival activities have a significant driving effect on regional development. Based on the DEA model, this paper constructs a three-stage DEA model by adjusting the decision-making unit and combines the Malmquist index method at each stage to establish a three-stage DEA-Malmquist’s efficiency assessment model to launch the research on the efficiency of rural festival activities. On this basis, the efficiency evaluation index system of rural festival activities was constructed, and 15 rural festivals in place M from 2015 to 2020 were selected as research objects, and the model was applied to analyze their static efficiency and dynamic total factor productivity. The study shows that in the first stage, there are 8 rural festival activities with a comprehensive efficiency greater than 1 (53.33%), and the comprehensive efficiency of the eastern and central parts of Land M is greater than 1, and the overall rural festival activities in this land are at a higher level. Seven rural festivals in Stage 1 had combined efficiencies greater than 1 (46.67%), with both East and Central having combined efficiencies greater than 1. Seven festivals (46.67%) in Stage 3 had combined efficiencies that were DEA effective, and the regional rankings of combined efficiencies for all four years between 2015 and 2020 were East>Central>West. The Malmquist Index mean before adjustment was 1.103, which was a 10.3% improvement, while the mean after adjustment was 1.091, which was a 9.1% improvement. Changes in technical efficiency and the rate of technological progress have a combined impact on the efficiency of rural festivals.
Study on the Application of Digital Media Animation in Folk Culture Dissemination in the 2D Animated Short Film “Red Bank” under the Perspective of Cultural Integration
Authors: Zheng Di 
Published: February 2024

Abstract
Digital media animation can better promote folk culture inheritance and innovation, and at the same time, folk culture also provides rich inspiration materials and cultural elements for the creation of digital media animation. In this paper, the mathematical structure of the threshold regression model is first sorted out, and the parameters of the model are estimated by using the search method and the smooth least squares method. Secondly, it analyzes the promotion effect of digital media animation on the dissemination of folk culture, takes the 2D animated short film “Red Bank” as a research example, and designs a questionnaire to obtain the research data. Finally, the benchmark regression model and threshold regression model were established with folk culture dissemination as the dependent variable, and benchmark regression, robustness test, and threshold effect verification were conducted. The results show that the audiovisual language, creation method, and display medium of digital media animation are significantly correlated with folk culture dissemination at 1% level, and its R2 fit value reaches 0.7439. The level of development of digital media technology has an obvious double-threshold effect on the dissemination of folk culture, and its double-threshold value is 1.028 and 2.251 respectively. Digital media animation can enhance the dissemination medium of folk culture, expand the dissemination medium, and improve the quality of folk culture. Communication media and enhance the influence of folk culture.
Optimization of the Improvement Path of Legal Supervision System in the Information Age
Authors: Wang Zhao , Qin Na 
Published: February 2024

Abstract
In the information age, the traditional legal supervision system has exposed many problems in practice, and has been unable to meet the needs of the development of governance modernization. The text of the legal supervision system is analyzed using text feature extraction to examine the supervisory content and effect. The TF-IDF algorithm is used to set the highest threshold and the lowest threshold to reduce the dimensionality of the feature items in the text of the legal supervision and improve the efficiency of text feature extraction. Add TextRank algorithm to annotate the lexical properties in the legal supervision system, remove the deactivated words, and sort the keyword PR values of the nodes to derive the most important keywords. The LDA model is used to divide the subject of legal supervision text, and the corresponding optimization strategy is explored according to the current situation of legal supervision content and the supervision effect under different supervision subjects. The results show that the most influential factor in state supervision is the soundness of legal documents, with an impact score of 4.1586, and the grade in the effectiveness score of the soundness of legal documents is average, indicating that state supervision still needs to be strengthened in the piece of soundness of legal documents. The effectiveness score of supervision awareness in the effectiveness score of social supervision is 50.0694, which indicates that the cultivation of supervision awareness should be emphasized in the legal supervision system.
Dilemmas Facing College Labor Education in the Context of Deep Learning and the Way of Innovative Development
Authors: Yang Weimin 
Published: February 2024

Abstract
Due to the influence of the background of the era and its ideological and cognitive factors, some college students lack independent labor ability and awareness, and it is necessary to build a labor education system that meets the requirements of the new era to further improve the effectiveness of educating people. By updating the pheromone, the ant colony algorithm is introduced to improve the convergence speed of the basic clustering algorithm. A linear combination of average similarity and cosine distance function is used to cluster labor education-related data, and the probability conversion function is used to increase the accuracy of clustering. The dilemmas that confront labor education in colleges and universities become clustered after a finite number of iterations. And quantitative analysis is carried out from the two aspects of learning quality of labor education in colleges and the influence of learner characteristics on learning effect to explore the innovative road of labor education in colleges and universities. The results show that: in the analysis of learning quality, learners’ average learning readiness is the highest (M=3.89, S=0.49), and the cluster centers corresponding to the sub-dimensions of “knowledge reserve”, “learning attitude” and “learning skills” are 3.66, 4.33 and 3.98. The mean value of “learning skills” is the highest, with 0.875 learners above the medium level, indicating that most of the learners think they can conduct independent learning in labor technology. The development of a labor education model is given an innovative direction by this study.
The Application of Central Plains Regional Culture in Commercial Space Design under the View of Artificial Intelligence
Authors: Yue Lu 
Published: February 2024

Abstract
The rapid advancement of the internationalization process has led to the gradual labeling and commoditization of commercial space, which is detached from the connotation of regional culture. This paper establishes a commercial space layout model and a commercial space layout optimization design process based on Bayesian network, combined with the geometric characteristics and layout attributes of commercial space layout. It also utilizes Simpson’s index and kernel density analysis to explore the influencing factors of regional culture integration into commercial space design and finally takes the design of comprehensive commercial space with regional characteristics of culture in the Central Plains as a research case to specifically explore the feasibility of integrating regional cultural characteristics into commercial space design. The results show that in the process of designing the commercial space of regional culture in the Central Plains, the audiovisual comfort reaches its best when the space aspect ratio is about 1.42 and the color saturation is about 25.05. The layout effect is the best with a visual exposure degree of 995 for the row and column layout. The integration of regional culture into commercial space design can be referenced by this study.
Analysis of the influence of red culture on students’ patriotism education in multimedia environment
Authors: Zhang Li 
Published: February 2024

Abstract
During the multimedia era, the nurturing function of red culture has become an important hand in the development of patriotic education in colleges and universities. The use of factor analysis and gray correlation rules are used in this paper to analyze the influence of different forms of red culture on patriotism education. The relationship between red culture and patriotism education is obtained by calculating the common degree of variables of the influence of red culture on patriotism education, and the public factors in red culture are extracted by using the method of principal component analysis. Combined with the gray correlation to calculate the correlation coefficients of different red culture public factors on the content of patriotism education, and based on the correlation coefficients to judge the degree of influence of red culture factors on patriotism education. The results show that the correlation coefficient between red behavioral culture and moral outlook education is 0.89814, and the correlation coefficient between red behavioral culture and cultural education is 0.810615, which indicates that red behavioral culture is conducive to the shaping of students’ moral outlook and cultural outlook. Red spiritual culture has a deeper influence on moral outlook and cultural outlook in patriotism education, the corresponding correlation coefficients are 0.89117 and 0.86851 respectively, which indicates that red spiritual culture can provide spiritual power for the realization of the Chinese dream.