bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Exploration of the Impact of Social Integration on the Re-employment Patterns of the Mobile Elderly Population in the Context of Informatization
Authors: Xiang Liping 
Published: December 2023

Abstract
Re-employment of the mobile elderly population is an important factor in promoting the development of social integration, and the study of the interaction between the two can further realize re-employment. This paper evaluates the level of social integration from four dimensions: economic integration, behavioral integration, cultural integration, and psychological integration, and explains different integration indicators. The indicator factors and their weights of the social integration measurement model were identified through the use of factor analysis and principal component analysis. At the same time, categorical variables were used to set up the re-employment mode of the migrant elderly population, which led to the formulation of three research hypotheses on the impact of social integration. In the description of the overall characteristics of the re-employment of the mobile elderly population, with the help of the multiple covariance test to confirm the accuracy of the estimation of the impact effect, binary logistic regression is used to verify the relationship between the impact of social integration on the re-employment of the mobile elderly population. The test results show that the minimum value of tolerance is 0.804, and the maximum value is 0.954. The maximum value of VIF is 1.199, and the minimum value is 1.009. Model 1 shows that social integration has a negative effect on re-employment of the mobile elderly population, and the value of EXP(B) is 0.541. This study verifies the relationship of the effect of social integration on re-employment and guides the re-employment of the mobile elderly population.
Comprehensive Evaluation of Enterprise Financial Management Based on Full-Cost Accounting Economic Management Model
Authors: Du Liyan 
Published: December 2023

Abstract
The full-cost accounting economic management model plays a key role in the comprehensive evaluation of enterprise financial management. This paper first discusses the application of the full-cost accounting economic management mode, including its importance and application mode. Secondly, it constructs a comprehensive financial management evaluation index system to analyze the effectiveness of the full-cost accounting economic management mode and uses the entropy value method to calculate the weight of the indexes as well as the efficacy coefficient method to determine the financial risk level. Finally, examples are used to verify the financial management risk of the enterprise in the full-cost accounting economic management mode. The results show that the entropy value method combined with the efficacy coefficient to solve the investment risk under the accounts receivable turnover rate entropy value of 0.9523, the financing risk of the weight value of 0.2465. Through full-cost accounting economic management model can be evaluated for the level of risk of enterprise financial management so that the enterprise understands its financial development and then makes more correct business decisions.
The application of immersive multimedia information technology in the teaching of vocal music
Authors: Guo Shanyu 
Published: December 2023

Abstract
In this paper, immersive multimedia information technology is utilized to perform frame-splitting and window-adding operations on vocal signals in college vocal music teaching to facilitate the extraction of vocal signal features. According to the Principal Component Analysis feature space projection and Relief feature selection, the vocal emotion regression model combining multimedia information technology is constructed, and the structure of the vocal emotion regression model and its teaching application are explored in the vocal emotion regression model. Determine the research object and method, according to the research program on the integration of multimedia information technology of vocal music teaching research design and implementation, and the use of statistical analysis of multimedia information technology-based vocal music teaching empirical analysis. The results show that the subjects had the best emotional experience with an emotional immersion degree of 5.651 when the music of the calm category and the visual music motion picture of the calm category constituted the visual music and the vocal music immersion based on the vocal music emotional regression model of “combining multimedia information technology” was significantly enhanced when the emotional type of the music and the emotional type of the dynamic picture of the visual music was the same. This study carries out college vocal music teaching based on students’ emotional characteristics, which is of great significance to improve the quality of college vocal music teaching and students’ musical literacy.
Research on the integration management innovation path of tea culture and rural tourism industry under the background of information technology
Authors: Gou Qian 
Published: December 2023

Abstract
This paper analyzes the development of the integration of tea culture and the rural tourism industry by using the coupling coordination model with the goal of promoting rural economic development. The entropy value method is used to calculate the evaluation index of the development level between tea culture and rural tourism industries. Combined with the geometric coefficient of deviation method to calculate the coupling coordination between tea culture and the rural tourism industry. The development index of tea culture and rural tourism industry is built using the index construction principle. By exploring the positive indicators of both tea culture and the rural tourism industry, the problems in the integration of tea culture and the rural tourism industry are analyzed, and the corresponding solution paths are proposed. The results show that the comprehensive development level of tea culture has been on a growing trend from 2018 to 2022.2021 the coupled coordination type of tea culture and rural tourism has reached the state of synchronous development, with a coupled coordination degree of 0.715, which is in the intermediate level of coordination. The development of the rural tourism industry has risen from 0.516 to 0.784. This study improves a new perspective on the integration of tea culture and the rural tourism industry and promotes the integration of the two.
Visualization analysis of architectural interior design combined with virtual reality technology under new process conditions
Authors: Li Xiang 
Published: December 2023

Abstract
In this paper, a 3D model based on semantic annotation is constructed with the goal of improving the efficiency of building interior design. By analyzing the basic methods of semantic annotation for building interiors, the method of positioning and map construction is selected to obtain the indoor point cloud data. The distance between 3D spatial lines is calculated using the frame line extraction algorithm, and the target area of the frame line candidate is divided according to the distance. According to the principle of detecting raster circles using the Hough transform, an interior design structure recognition method is proposed for recognizing windows, doors, and walls in building interiors. The results show that the modeling time of the semantically annotated 3D model is 10 seconds faster than the other models on the wall; 9 seconds are saved on the door modeling, and 7 seconds are saved on the window modeling. The visualization effect of semantically annotated 3D models is mostly concentrated in (0.5-1), and a large number of data points are distributed in (0.6-0.9), which indicates that the visualization effect of semantically annotated 3D models is better. The semantically annotated 3D model proposed in this paper can improve the visualization of architectural interior design, which can improve the efficiency of designers to a certain extent.
Standardized Construction Indicator Assessment and Practice of Digital Government for Chaos Computing Theory
Authors: Liu Jinyu 
Published: December 2023

Abstract
In this paper, the maximum Lyapunov exponent and chaotic phase space reconstruction method of the chaotic computing model are studied, the embedding dimension is obtained by using the saturated correlation dimension method, and the fractal scale of the chaotic model is determined by the DFA method. Based on the relevant policy documents, an index system for assessing the level of government digital construction is constructed, and the weights of each index are calculated. The constructed index system is used to analyze the digital construction level and digital service quality of the Chinese government, and the evolutionary characteristics of the standardized construction of China’s digital government are analyzed based on the chaotic computing model. The results show that the total score of each provincial government in the sample reaches above 90, only one provincial government has a total score below 80, and the average score of the total score reaches 85.72, which indicates that most of the provincial governments in China have a good level of digital construction. The purpose of this study is to promote and optimize the digital construction of provincial governments and improve their digital construction level, which is of greater practical significance.
Research on the Problems and Countermeasures of Government-Enterprise Interaction Based on the Background of Informationization Era
Authors: Peng Caodie , Wen Zhisen , Xu Zhiwu 
Published: December 2023

Abstract
Government-enterprise interaction is related to the synergistic development of the government and enterprises, and it is also the wind vane of regional economic development. This paper starts with the problems of the government-enterprise interaction mechanism, analyzes the causes of these problems, and constructs a model for government-enterprise interaction based on them. In order to verify the effectiveness of the government-enterprise interaction model, an evaluation index system is constructed to evaluate it, and the entropy weight method and TOPSIS method are utilized to calculate the weights and rank the comprehensive score. Based on the constructed government-enterprise interaction model, this paper utilizes examples to conduct government-enterprise interaction correlation analysis. The results show that the highest mean value of the first-level index in 2010-2020 after solving by entropy weighting method is 0.2829, and the weight of the government purchasing service in 2017-2020 is 0.2059. Among the 10 sample enterprises, the relative posting progress is the highest at 0.5662, and the highest composite score for the level of government-enterprise interaction is 0.52171 points. Under the background of informationization, it is necessary to further strengthen the government’s “delegating-regulation-service” reform, fully do a good job of macro-control in order to guide enterprises to better carry out government-enterprise interaction, innovate the mode of government-enterprise interaction, and fundamentally improve the interactive behavior of the government and enterprises.
Exploring English Long Sentence Translation Methods by Applying Natural Language Processing Techniques
Authors: Shang Fengmei , Li You 
Published: December 2023

Abstract
This paper analyzes the “encoder-decoder” framework in neural machine translation and clarifies that the task of natural language processing is sequence learning. Secondly, recurrent neural networks are used to combine the historical hidden layer output information with the current input information, which is specialized in processing sequence data to achieve good translation results. Applying the attention mechanism to the field of natural language processing, a Transformer model based on the full attention mechanism is constructed in order to achieve the purpose of translating the source language while also performing alignment operations on the target language. The evaluation and analysis of the Transformer model based on the full-attention mechanism concludes that the Transformer model has 0.0152 Pearson correlation coefficients higher than the Bilingual Expert model, which is also 2.92% higher than the Bilingual Expert model, with the participation of f feature in both models. This further proves the Transformer model’s ability to correctly and effectively translate English sentences. At the same time, it also shows that the application of natural language processing technology can improve the efficiency of English long-sentence translation and comprehensively improve the quality of long-sentence translation.
Integration of Marxist ideology education in the education of ideologic and politic system of colleges and universities
Authors: Jiang Lan 
Published: December 2023

Abstract
Based on the technology of big data, this paper utilizes the IKH algorithm to study the optimal selection of education of ideologic and politic strategies, and constructs the education of ideologic and politic strategy selection model according to the IKH-PP algorithm according to the positive and negative incentive strategies of education of ideologic and politic and the improved krill swarm algorithm. Starting from the ideological and political teaching objectives, the evaluation system is determined, and the objective function of the education of ideologic and politic strategy selection model of the IKH-PP algorithm is derived by using projection-seeking analysis. Combining the research dimensions and research hypotheses, we complete the design of the ideological and political research in institution of higher education that integrates Marxist ideology, and use statistical analysis to conduct empirical analysis of education of ideologic and politic in institution of higher education. The results depict that on the model, compared with KH-PP, the precision of education of ideologic and politic strategy selection is improved by 3.96% and 4.1%, and IKH-PP can effectively improve the precision of education of ideologic and politic strategy selection. On the analysis of teaching examples, the Sig. Values of all 11 independent variables are less than 0.01, indicating that all 11 common factors show a significant positive correlation with the ideologic and behavioral choices of making ideologic and politic of identifying with the integration of Marxism in the value conflict. This study makes the theory of education of ideologic and politic in institution of higher education richer and better and is of great significance to the development of ideological and political and Marxist ideology integration teaching.
Knowledge Graph-based Interactive Sharing Platform for Teaching English Majors in Colleges and Universities
Authors: Zhang Juan 
Published: December 2023

Abstract
In this paper, we found that the traditional FCM clustering algorithm is over-sensitive to noise or outliers, and AP clustering is added on the basis of the FCM algorithm to improve and optimize the FCM algorithm. The improved and optimized algorithm is used to derive high-frequency words for teaching English majors, and the hot knowledge map of English teaching is studied according to the high-frequency words. Construct the knowledge map framework and utilize the knowledge map framework to build the U+ English teaching interactive sharing platform. Adopt a top-down approach to construct the knowledge graph, and after defining entity relationships and attributes, propose the learning path recommendation method of the U+ platform based on the knowledge graph. Comparative experiments are used to analyze the teaching effect of the U+ platform and students’ English learning engagement. After 8 weeks of interactive and shared learning on the U+ platform, the students in the experimental class improved their English single choice, perfect fill-in-the-blank, and reading comprehension scores by 2, 4, and 3 points, respectively, and the U+ platform had obvious help in improving the students’ English scores, and the platform was effective in teaching. The mean value of the positive dimension of learning engagement of the students in the experimental class is 4.1634, with an interval range of [4,4.3], and they are positively engaged in English learning, and the mean value of the negative dimension is 1.8341, with a range of [1.6,2.4], and there are fewer negative performances, and the U+ platform has a positive impact on the student’s English learning engagement.
Design of self-cleaning low-temperature plasma fume cleaning device based on computational fluid dynamics
Authors: Liu Tengda 
Published: December 2023

Abstract
With the rapid development of the catering industry, catering fume pollution has become one of the important sources of urban air pollution. How to realize the purification of catering fumes is a huge problem related to public life health and safety. This paper first constructs the structure of self-cleaning low-temperature plasma soot purification and provides the equipment, materials, and process required for soot purification experiments. Secondly, CFD simulation of the flue of the oil smoke purification device is introduced into Computational Fluid Dynamics, and the relevant physical parameters of the oil smoke flow are obtained by solving the equations of mass conservation, momentum conservation and energy conservation. The self-cleaning low-temperature plasma oil smoke purification device was also analyzed by numerical simulation using Fluent software, and the method for detecting VOCs in restaurant oil smoke was given. Lastly, the oil smoke purification device constructed in this paper was tested for its impact on oil smoke. The results show that for every 100W·m−2 increase in the intensity of oil smoke, the temperature error will increase by about 0.01℃ accordingly, and when the intensity of oil smoke reaches 500W·m−2, the temperature error of the oil smoke purification device is 0.074℃. The highest imported concentration of all kinds of VOCs in the barbecue smoke produced by the experiment reached 3762.53 μg / m
3, and the average treatment efficiency of 98.69% was achieved under the actual air volume of about 800m3/h. This shows that the use of computational fluid dynamics can realize the simulation analysis of a self-cleaning low-temperature plasma fume purification device, and the fume purification device has a strong fume purification ability.
Research on the Innovative Application of Particle Swarm Algorithm in the Improvement of Management Efficiency of Digital Enterprises
Authors: Yin Xiong 
Published: December 2023

Abstract
This paper constructs a model of the particle swarm algorithm, compares and analyzes the performance of the particle swarm algorithm under the two parameters of w and k in detail, and solves the constrained optimization problem by the particle swarm algorithm. On the basis of the local optimal value to find the global optimal value, the particle swarm algorithm is improved with reference to the particle’s motion state and behavior. Based on the particle swarm algorithm, a digital enterprise management system is constructed to plan enterprise management operations and optimize efficiency. Finally, we compare the performance of different algorithms in enterprise management risk prediction, analyze the correlation between the management system and enterprise management efficiency, and compare the management efficiency of different enterprises to explore the effect of the particle swarm algorithm in digital enterprise management. The results show that the predictive classification effect of the particle swarm algorithm model reaches more than 95% correct rate, and the management system of the particle swarm algorithm presents significance at 1% and 5% significance level for enterprise management efficiency, respectively.
The Application of Multimodal Discourse Analysis in Urban Intercultural Communication
Authors: Chen Baiying 
Published: December 2023

Abstract
This paper firstly analyzes the basic composition of intercultural communication ability, discusses the specific function of cultural promotion of urban tourism, and gives the promotion effect of intercultural communication on urban tourism. Secondly, the connotation of multimodal discourse analysis is given, and the technical analysis of text, audio, and visual features is carried out for the analysis of urban tourism discourse. Then, the TF-IDF algorithm is used to realize the feature extraction of tourism culture text, the MFCC algorithm is used to extract the audio features of tourism culture, and the modal classification network is used to realize the recognition of the visual features of urban tourism culture video. Finally, to verify the effectiveness of the application of multimodal discourse analysis in urban cross-cultural communication, three aspects were tested and analyzed respectively. The results show that the F1 value of the TF-IDF algorithm is 0.912, which is 17.07% higher than that of the CTF-TF-IDF algorithm. When the amount of audio recognition is 5GB, the recognition time of the MFCC audio recognition method is 10.4 s. When the weight value of the visual feature extraction network is set to 1.0, the highest visual feature extraction error rate is only 3.96%. Using multimodal discourse analysis to carry out urban tourism discourse analysis can realize more comprehensive urban tourism feature extraction, help tourists strengthen their tourism perception, and then promote the enhancement of urban cross-cultural communication ability.
Innovative and entrepreneurial education reform strategy based on algorithmic recommendation of social media information sharing characteristics in colleges and universities
Authors: Dai Wei 
Published: December 2023

Abstract
In this paper, the student documents are processed by experimental strategy, with the topic of college innovation and entrepreneurship resources recommendation, word diffusion and improved LDA topic model distribution training, set the training topic model and the number of topic top-words, and compare the high-frequency vocabulary and the probability distribution error of the 80% user coverage case and 90% user coverage case. Explore the stability of social media information pushing, the performance comparison results of both combine LDA based on user comment information text and LDA modeling directly using user comment information text as a reference. Select the experimental objects of innovation and entrepreneurship resources in colleges and universities, obtain the recommendation information of innovation and entrepreneurship resources in social media, and analyze the accuracy and satisfaction of algorithmic recommendation. Analyze the sharing characteristics of algorithmic recommendation information on social media and propose educational countermeasures against its adverse effects. According to the analysis, the improved LDA topic model results in a 15% and 85% increase in the number of same words in each topic when top_words is 10. When top_words is 20, the proportion of the same words in each theme is 15% and 78%, respectively. This indicates that the innovation and entrepreneurship education topic features are stable, and the accuracy and satisfaction of the algorithmic recommendation have improved.