bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rural tourism incorporating artificial intelligence technology to help modernize rural revitalization
Authors: Gan Lu 
Published: December 2023

Abstract
In the process of modernization and development, intelligent technology empowers rural tourism, which in turn enables the effective implementation of the rural revitalization strategy. In this paper, a rural tourism recommendation model combined with artificial intelligence technology is constructed, which effectively improves the accuracy and personalization level of tourist attraction recommendation by mining and analyzing tourism data and extracting tourism characteristic factors. Secondly, the random forest classification algorithm is used to establish a random forest preference attraction prediction model, and several recommendation algorithms are combined to design a personalized rural tourism recommendation model to improve the accuracy of tourists’ tourism recommendations. Finally, the countryside around a city is being investigated to explore the modern development of rural tourism and help revitalize rural areas. The results show that the number of people received by rural tourism in City A and the number of tourists received by the province in 2022 is 972 million and 1,424 million more than that of 2014, and the total income from rural tourism in City A and the total income from tourism in the province in 2022 is 724.8 billion and 1,202.02 billion yuan more than that of 2014, and it can be seen that the high level of tourism income maintains a positive correlation with the number of tourists received. It shows that rural tourism improves the overall economic level of the countryside, accelerates the process of social progress in rural areas, and strongly contributes to the modernization and development of rural revitalization.
Research on the Teaching Reform of Physical Education Combined with Civic and Political Education in the New Era under the Background of Big Data
Authors: Chen Zeyong 
Published: December 2023

Abstract
This paper researches the teaching reform of the integration of sports and civic politics in the new era, and the addition of sports elements in civic politics education can achieve the mutual integration of the two. A personalized Civic and Political teaching model is constructed by combining the attention mechanism based on a recurrent neural network. Based on the personalized teaching model, a model of students’ academic ability in Civics and Politics is established. The EERNN model predicts the next Civics and Politics test scores and assists teachers in proactively intervening. The path of sports Civics integration is proposed from three aspects: increasing the implementation of sports Civics education, improving the awareness of Civics education of physical education teachers, and supervising the integration of students’ sports Civics thinking. Set up an experiment that compares the cognition of students in the experimental and control classes on health indicators and Civics elements. Analyze the student’s learning behaviors and the results after using the personalized recommendation Civics teaching model. The results of the experiment show that the students’ Civics elements of the seven dimensions improved after the experiment, respectively, by 3.05, 2.17, 3.79, 2.16, 2.67, 3.24, and 2.77. The Civics scores of the students in the experimental class increased from 113.89 to 123.48. The personalized learning model effectively enhanced the effectiveness of students’ civics learning.
Stability analysis of loess slope combined with limit equilibrium method under different rainfall intensities
Authors: Liu Yongde , Yang Yongdong , Hu Aiping 
Published: December 2023

Abstract
Due to the special characteristics of loess soil, once the stability of the slope is not detected in place, it is easy to cause serious loss of life and property, so this paper is based on the limit equilibrium method to analyze the stability of loess slopes under different rainfall intensities. The simplified Bishop’s method, the proposed static method, and the strength reduction method under the limit equilibrium method are studied to provide a reference basis for subsequent research. Explore the law of rainwater infiltration in loess under different rainfall conditions, construct a water-wetting model, investigate the seepage law of loess slope, and detect the degree of wetting and seepage of loess soil under different rainfall conditions. Combining the principle of effective stress of saturated soil, analyze the mechanical characteristics of the unsaturated soil on the loess slope. The stability of loess slopes under natural conditions and seismic conditions is analyzed, and the pore water pressure and shear strength of the sliding surface of loess slopes are analyzed under different rainfall conditions. The experimental data show that the slope safety coefficient of the simplified Bishop-limit equilibrium method under natural conditions is 1.118, and the difference with other algorithms is about 2.9%, which shows that the safety coefficient of the simplified Bishop-limit equilibrium method is more accurate to detect when combined with the slope stability model. When the rainfall intensity is 15, 30, 45, 60, and 75mm/h, the slope safety factor is 1.18, 1.14, 1.125, 1.12, and 0.98, respectively, the rainfall intensity is negatively correlated with the slope safety factor.
Mechanisms and Paths for Constructing the Organic Interface between Digital Economy and Chinese-Style Modernization Based on Cognitive Mapping
Authors: Zhao Jiaqi 
Published: December 2023

Abstract
In the process of China’s modernization, the organic articulation of the digital economy provides key support. This paper explores the articulation network paradigm of both and proposes a method for building cognitive mapping on a complex network. For the digital modernization industry, the vector representation encoding is completed by using the multi-granularity representation of this paper, and an N-gram encoder realizes the industry entity recognition. A basic idea of relationship template annotation is developed for recognizing entities, and the relationship extraction framework includes three parts: representation learning of templates, quality assessment of templates, and relationship classification model based on template quality. The regression results of the three major economic regions, namely, the eastern region, the central region and the western region, show that the level of digital economy development in the region has a more significant positive effect on the structure of manufacturing output value. The largest regression coefficient is 3.3044 for the eastern region, while the central, western and northeastern regions are 1.85567, 2.45457, and -0.13798, respectively. Through the study of cognitive mapping, the study provides an effective paradigm for Chinese-style modernization.
A study on the application of artificial intelligence in the design of intelligent medical robots
Authors: Miao Ke , Chen Chenglei , Zheng Xianqing 
Published: December 2023

Abstract
With the development of artificial intelligence and robotics technology, the combination of artificial intelligence and medical device research and development has been promoted, which is an important product of the development of artificial intelligence. In this paper, the general structure of the intelligent medical robot is designed by combining artificial intelligence technology and robotics-related technology. Then, the binocular vision function of the robot was realized by visually acquiring the image of the target object, 3D reconstruction of the target object, and combining the SIFT image recognition algorithm and target tracking algorithm. Then, a new speech recognition algorithm was constructed to realize the human-robot interaction function with the medical robot based on the deep learning Transforme network after the construction of the human acoustic model. Finally, the designed intelligent medical robot was tested, and its overall performance was evaluated. The results show that the recognition errors of the intelligent medical robot on the features of the items are all within 0.05, the recognition errors on the features of the human body are within 0.2, and the speed of the target tracking is between 6km/h and 16km/h. The average recognition accuracy of the medical robot for voice commands is about 0.9, the recognition time is about 0.7s, the normal working rate of each function is more than 0.99, and the test speed is within 2s.
A Systematic Integration Study of Traditional Hand-Weaving Techniques in Lingnan Region in the Context of Deep Learning
Authors: Li Jiali , He Shuai 
Published: December 2023

Abstract
In this paper, firstly, on the basis of the traditional hand weaving technique in Lingnan area, modern digital technology is used to integrate it systematically, so as to construct the three-dimensional weaving technique. Secondly, the structural properties of the three-dimensional woven fabrics are investigated through the two-step and four-step weaving methods in terms of the movement trajectories of the three-dimensional woven fabrics within the cross-section. Finally, the basic properties of bamboo weaving materials were analyzed in order to facilitate the force simulation analysis of the obtained morphological model samples of parametric Lingnan region bamboo weaving craft products using the structural simulation analysis software SIM-SOLID. The results show that in the structural force study of bamboo weaving craft products, the equivalent viscous damping coefficient is calculated by taking the first hysteresis loop of each stage of the loading cycle, and its maximum deformation is 0.428 mm, which is 0.003 mm smaller than that of the model with unfixed joints, which indicates that the performance of the Lingnan region weaving technique is optimized obviously by adopting the three-dimensional weaving technique. This paper provides theoretical references for the digital integration of traditional hand-woven techniques and the enhancement of structural properties of woven materials in the Lingnan region.
Analysis of the path to enhance the quality development of rural tourism with the help of rural revitalization strategy in the context of the Internet
Authors: Liu Shaolin 
Published: December 2023

Abstract
This paper first determines the research method of rural tourism and the selection of research objects and carries out the corresponding pre-processing operation for the data. Secondly, the spatial distribution characteristics of key villages of rural tourism are analyzed by using the nearest neighbor index, standard deviation ellipse, geographic concentration index and geographic detector so as to understand the development of rural tourism in the five regions of east, west, south, north and central. The spatial clustering structure of key villages in rural tourism is calculated again using the fractal model to explore grid aggregation and correlation of high-quality development in rural tourism. From the spatial distribution characteristics, the nearest neighbor index of the southern region is 0.838, showing an aggregation-random distribution pattern, and the standard deviation ellipse of the southern region is 51.67°. From the spatial clustering structure, the aggregation dimension of the southern region is 0.485, and the correlation dimension of the four regions of east, west, south, north and south is relatively close to that of highway accessibility, for example. Thus, rural tourism in the context of the Internet needs to further strengthen infrastructure construction, enhance the means of training high-quality personnel, build diversified marketing channels, and realize the rural revitalization strategy to boost rural tourism.
Three-dimensional visualization and analysis of marketing data based on GIS information technology
Authors: Yu Zhenhai 
Published: December 2023

Abstract
This paper explores the GIS spatial analysis technique, which models the data as a whole and performs three-dimensional coordinate transformations, maps points in one coordinate system to another, and then establishes slice maps according to the slice resolution and visualizes and analyzes the data. This paper analyzes the spatial evolution characteristics of product A’s marketing dominance, time domain and geographical concern based on the GIS analysis model and compares the traditional method with the GIS spatial analysis method to analyze the market influence of using GIS marketing in order to highlight the advantages of the GIS analysis method in product marketing and data analysis. The results show that the annual contribution rates of the differences in product A attention between regions from 2013 to 2018 are 36.46%, 40.85%, 46.68%, 48.89%, 43.62%, and 44.21%, with an average value of 45%. The influence analysis efficiency of the GIS analysis method is more than 4.4, whereas that of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0, indicating that the influence analysis efficiency of the GIS analysis method is above 4.4, while the influence analysis efficiency of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0. 4.0, indicating that GIS technology has the absolute advantage for marketing data visualization analysis.
A Practical Exploration of the Integration of Civics into Student Education and Management in Colleges and Universities Empowered by Information Integration Technology in the Context of Three-Whole Parenting
Authors: Rong Jing 
Published: December 2023

Abstract
Internet information technology has brought challenges to the integration of college and university Civics in student education and management work, and at the same time, it also provides an opportunity for the integration of information technology. In this paper, on the basis of two kinds of nodes of basic Petri nets, the library and change, we constructed the workflow of identification Petri nets oriented to the education and management of students in the Civic Government of colleges and universities. The workflow engine is designed as the center of gravity of the reference model, consisting of six basic elements of student management. In the information fusion workflow, a multi-source information fusion method based on CNN and LSTM is proposed to further integrate Civics into student education management. The response time of the student management action flow is shorter than the retrieval time based on the original mechanism, and the average response time is reduced by 57.4 ms when the workflow reaches 5000. The fusion of Civic Politics and education management in the context of three-whole-parenting optimizes the management work method.
Exploring the Integration Development Strategy of Outdoor Sports and Sports Tourism in the Background of Internet
Authors: Zhao Zuofu 
Published: December 2023

Abstract
In this section, a fusion development model of outdoor sports and sports tourism is constructed to analyze the interactions and effects of the time series variables in the fusion development model through the algorithms of time series, vector autoregression and vector error correction. Then, the spatial spillover effect is utilized to test the spatial correlation of the integrated development of outdoor sports and sports tourism, which helps the transition to test the spatial spillover effect of outdoor sports and sports tourism on economic development. Finally, the integration development strategy for outdoor sports and sports tourism is proposed, and its spatial impact is analyzed. The results show that the Log L values of the SLM model, SEM model and SDM model are 125.0624, 123.8756 and 160.9998, respectively, and the model fit R²is 0.8633, 0.8730, 0.8728 and 0.8884 respectively. Comparing the results of each spatial effect model, it is found that the use of the fixed effect SDM model has a significant impact on the development of the integration of outdoor sports and sports tourism. Spatial heterogeneity of factors affecting the integration development of outdoor sports and sports tourism is the most scientific and reasonable approach.
Research on the Era Value and Communication Path of Human Destiny Community and Socialist Core Values in the Context of Big Data
Authors: Ren Li , Yang Liu 
Published: December 2023

Abstract
This paper analyzes the socialist core values and explores the contemporary characteristics and values of socialist core values under the background of big data. On this basis, in order to better practice the socialist core values, through the communication path of big data, combined with the belief propagation algorithm and the association effect, it constructs a node influence propagation NIP model based on the improvement of knowledge graph to realize the propagation of socialist core values. At the same time, the algorithm constructed in this paper is subjected to performance verification experiments, and the effect of socialist core value dissemination and the value of the times are explored. The results show that the influence range of the national level and the individual level are roughly the same as 1200 and 1190, respectively, both slightly higher than the individual influence range of 1000, and the propagation time of the state, society and individual is within 150s, 200s and 300s respectively. Resistance to Western ideology rose by 0.13, the deepening of socialist theory grew by 0.09, and the process of constructing a world value system increased by 0.06. Based on this paper, the study of the value of time and the path of dissemination has a positive impact on the development of socialism.
Exploring the analysis of the benefits of different types of urban park landscape spaces on the health of residents
Authors: Qin Wenyong , Chiang Yen-Cheng , Shen Rong-show 
Published: December 2023

Abstract
In this paper, we first used the expected utility function to explore the benefits of urban park landscape construction on residents’ health. In order to reduce the estimation bias caused by omitted variables, the structural equation model with multiple mediators was used to test the multiple health behavior paths of the built environment of urban parks affecting residents’ health. Secondly, landscape ecology was used to reveal the changing law of landscape space patterns in urban parks, and different pattern indices were selected to quantitatively describe the changes in landscape space patterns in parks. Finally, three different types of parks, A, B and C, were selected as case studies to investigate the differences in the health benefits of different types of urban park landscape space for residents. The results showed that the utility model adjusted R
2 = 0.2745 and the standardized coefficient beta=0.089, i.e., for every 1 gradient increase in the landscape pattern index of urban park landscapes, the health benefits of residents increased by 0.089 gradients. This study is of great significance for enhancing the health of residents and achieving the strategic goal of ‘Healthy China’.
Analysis of the Practical Path of Vocational Education Serving Rural Revitalization by Digital Means and Philosophy of Technology
Authors: Tian Feifei 
Published: December 2023

Abstract
In this paper, based on digital means and technical philosophy, the histogram algorithm in the Light GBM model is used to calculate the floating point values of the raw data for the analysis of vocational education service for rural revitalization so that each of its features is converted into a histogram. In order to prevent the feature training overfitting problem of the Light GBM model, the LightGBM model is optimized by the iterative tree MPA algorithm, and the prediction model of returning to poverty risk based on IMPA-LightGBM is constructed. Starting from the current situation of vocational education service for rural revitalization, we put forward research hypotheses to realize the research design of vocational education accurate poverty alleviation service for rural revitalization and carry out an example analysis of vocational education service for rural revitalization combined with digital technology. The results show that in terms of model performance, the WAPE values of the return-to-poor risk values obtained from the prediction of the IMPA-LightGBM model are all lower than 5.5%, so the prediction effect is relatively satisfactory, and the return-to-poor risk values of poverty-eradicating households can be effectively predicted. On the practice road analysis, the standard deviation (SD) of the rural revitalization development index in China as a whole decreased from 0.63 to 0.52, which means that the differences in rural revitalization among provinces are decreasing. This study explores the synergistic development of the community of interest between vocational education and rural revitalization through the cultivation of new vocational farmers.
Exploration of Cultural Teaching Mechanisms of Ideology and Politics Courses under the Background of “Internet Plus”
Authors: Wang Fei 
Published: December 2023

Abstract
As the cradle of cultivating and conveying talents, colleges and universities should innovate the education of ideological and political courses under the background of “Internet+”, focusing on cultivating students’ cultural self-confidence. This paper first explains blockchain-related technology in Internet technology, including the basic principle and structure of blockchain, the consistency Hash algorithm, the consensus mechanism and the credit mechanism of blockchain. Secondly, it discusses the fit between the blockchain and the cultural teaching mechanism of the Civics course, through which blockchain technology can effectively realize the interactive sharing of the cultural teaching resources of the Civics course. Based on the blockchain technology and MVC network structure, an interactive model of cultural teaching resources for Civic and Political Science courses is constructed, which further improves the way students access cultural teaching resources. Finally, a simulation test is conducted to evaluate the interactivity of the cultural teaching resources in the Civics and Political Science course and the effectiveness of the model. The results show that the average write bandwidth of the consistent Hash algorithm is 756.68MBps, and the average read bandwidth is 215.42MBps, and when the total amount of data exceeds 64GB, the relative standard deviation of the Hash algorithm decreases to about 0.15% and remains stable. The cultural teaching mechanism of the Civics course with the introduction of blockchain technology is based on a digital platform, and when the number of network nodes is 150, the delay of the consensus mechanism is 236.73ms, and the throughput reaches about 98 data interactions per second. The cultural teaching mechanism of the Civics and Politics course in the background of the Internet needs to be based on digitization, fully combining with information technology to realize the common construction and sharing of cultural teaching resources and cultivate new-age talents with higher cultural self-confidence for the development of society.