Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01402
Li Ren, Liu Yang
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.
{"title":"Research on the Era Value and Communication Path of Human Destiny Community and Socialist Core Values in the Context of Big Data","authors":"Li Ren, Liu Yang","doi":"10.2478/amns.2023.2.01402","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01402","url":null,"abstract":"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.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"38 16","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138597564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01396
Qin Qin
Abstract Lingnan Intangible Cultural Heritage (ICH) has a long history and contains rich and unique regional culture, which can provide new thoughts and ideas for cultural and creative product design. In this paper, firstly, the cVAE-GAN network model is utilized to extract the features of the modeling symbols of Lingnan intangible cultural heritage, which helps to obtain the modeling symbols of Lingnan intangible cultural heritage for cultural and creative product design. Secondly, the HSV color space model realizes the refinement of the color elements of Lingnan intangible cultural heritage, which promotes the application of color diversity in the design of Lingnan cultural and creative products. Then, the two methods are combined with artificial intelligence technology to construct the Lingnan emotional interactive cultural and creative product design framework, which enables the computer to integrate the designer’s design emotion on the basis of learning modeling and color and promotes the enhancement of the emotional value of Lingnan non-heritage cultural and creative products. Finally, to verify the effectiveness of the method described in this paper, a relevant test analysis was conducted. The results show that when the computational order is more than 60 orders, the cVAE-GAN network in this paper extracts the styling symbol features in only about 115ms, the PSNR improvement of the HSV color space model under different color blocks is more than 2dB, and the RSD of H-channel can be found to be in the range of 0.5% to 5.0% after performing color noise removal. Carrying out the cultural and creative product design of Lingnan intangible cultural heritage in the era of artificial intelligence needs to be more clear about the shape and color of the intangible heritage and fully combine with the designer’s emotion in order to make the Lingnan intangible cultural and creative products revitalized with new vitality.
{"title":"Research on the Design of Cultural and Creative Products Based on Lingnan Intangible Cultural Heritage in the Age of Artificial Intelligence","authors":"Qin Qin","doi":"10.2478/amns.2023.2.01396","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01396","url":null,"abstract":"Abstract Lingnan Intangible Cultural Heritage (ICH) has a long history and contains rich and unique regional culture, which can provide new thoughts and ideas for cultural and creative product design. In this paper, firstly, the cVAE-GAN network model is utilized to extract the features of the modeling symbols of Lingnan intangible cultural heritage, which helps to obtain the modeling symbols of Lingnan intangible cultural heritage for cultural and creative product design. Secondly, the HSV color space model realizes the refinement of the color elements of Lingnan intangible cultural heritage, which promotes the application of color diversity in the design of Lingnan cultural and creative products. Then, the two methods are combined with artificial intelligence technology to construct the Lingnan emotional interactive cultural and creative product design framework, which enables the computer to integrate the designer’s design emotion on the basis of learning modeling and color and promotes the enhancement of the emotional value of Lingnan non-heritage cultural and creative products. Finally, to verify the effectiveness of the method described in this paper, a relevant test analysis was conducted. The results show that when the computational order is more than 60 orders, the cVAE-GAN network in this paper extracts the styling symbol features in only about 115ms, the PSNR improvement of the HSV color space model under different color blocks is more than 2dB, and the RSD of H-channel can be found to be in the range of 0.5% to 5.0% after performing color noise removal. Carrying out the cultural and creative product design of Lingnan intangible cultural heritage in the era of artificial intelligence needs to be more clear about the shape and color of the intangible heritage and fully combine with the designer’s emotion in order to make the Lingnan intangible cultural and creative products revitalized with new vitality.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"52 24","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138595197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01393
Ying Ma
Abstract This paper describes the dynamic propagation process of the influence of public service advertisements (PSAs) using the information dissemination model and proposes a click probability function by modeling the click rate of advertisements, which is solved by a heuristic method. The EPR advertisement recommendation algorithm is selected to simulate the push process of the advertisement, and the experimental performance is analyzed. Analyze the presentation of Shaanxi regional culture and the network mobilization mechanism model of enterprise public service advertisement, predict and analyze the click rate of public service advertisement broadcasting, and emphasize the trust analysis of the audience. Variables such as the number of effective viewing of advertisements, the number of link clicks, the number of likes, and the amount of placement are selected to carry out descriptive analysis and correlation analysis of the effect of PSAs on Shaanxi regional culture. From the correlation coefficient matrix, it can be seen that the correlation coefficients between the explanatory variables take smaller values and are at the level below 0.11, and the number of likes has significant positive correlation coefficients with the indicators of advertisement effect at each stage. Thus it can be verified that the social attributes of advertisements play a positive role in the effect of advertisements.
{"title":"A Study on the Presentation and Communication Influence of Shaanxi Regional Culture in Public Service Advertisements from the Perspective of Social Network Analysis","authors":"Ying Ma","doi":"10.2478/amns.2023.2.01393","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01393","url":null,"abstract":"Abstract This paper describes the dynamic propagation process of the influence of public service advertisements (PSAs) using the information dissemination model and proposes a click probability function by modeling the click rate of advertisements, which is solved by a heuristic method. The EPR advertisement recommendation algorithm is selected to simulate the push process of the advertisement, and the experimental performance is analyzed. Analyze the presentation of Shaanxi regional culture and the network mobilization mechanism model of enterprise public service advertisement, predict and analyze the click rate of public service advertisement broadcasting, and emphasize the trust analysis of the audience. Variables such as the number of effective viewing of advertisements, the number of link clicks, the number of likes, and the amount of placement are selected to carry out descriptive analysis and correlation analysis of the effect of PSAs on Shaanxi regional culture. From the correlation coefficient matrix, it can be seen that the correlation coefficients between the explanatory variables take smaller values and are at the level below 0.11, and the number of likes has significant positive correlation coefficients with the indicators of advertisement effect at each stage. Thus it can be verified that the social attributes of advertisements play a positive role in the effect of advertisements.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"57 5","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138595756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01411
Xianglei Chen
Abstract This paper constructs the ADDIE-F teaching model based on the ADDIE model by introducing the feedback link and carries out the design of Civics teaching methods in colleges and universities based on the model. For the teaching of Civics in colleges and universities, the research object and the selection of teaching experimental methods are designed, and the index system is constructed to evaluate the quality of Civics teaching. The entropy weight method was utilized for the calculation of indicator weights, and the TOPSIS method was used for evaluating the quality of Civics teaching. In order to verify the timeliness of the method given in this paper for promoting the comprehensive development of students as well as student management, this paper carries out a practical application analysis. The results illustrate that the average score of the experimental class before and after the Civics teaching design experiment is 78.52, which is 15.06 points higher than that before the experiment, and the students’ comprehensive literacy situation shows a significant difference at the 5% level. Thus, the Civics teaching design based on the ADDIE-F teaching model under the guidance of comprehensive development can promote the improvement of students’ Civics literacy.
{"title":"Analysis of the timeliness of teaching methods in student management in the comprehensive development-oriented higher education civic politics","authors":"Xianglei Chen","doi":"10.2478/amns.2023.2.01411","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01411","url":null,"abstract":"Abstract This paper constructs the ADDIE-F teaching model based on the ADDIE model by introducing the feedback link and carries out the design of Civics teaching methods in colleges and universities based on the model. For the teaching of Civics in colleges and universities, the research object and the selection of teaching experimental methods are designed, and the index system is constructed to evaluate the quality of Civics teaching. The entropy weight method was utilized for the calculation of indicator weights, and the TOPSIS method was used for evaluating the quality of Civics teaching. In order to verify the timeliness of the method given in this paper for promoting the comprehensive development of students as well as student management, this paper carries out a practical application analysis. The results illustrate that the average score of the experimental class before and after the Civics teaching design experiment is 78.52, which is 15.06 points higher than that before the experiment, and the students’ comprehensive literacy situation shows a significant difference at the 5% level. Thus, the Civics teaching design based on the ADDIE-F teaching model under the guidance of comprehensive development can promote the improvement of students’ Civics literacy.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"68 11","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138596047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01400
Zuofu Zhao
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.
{"title":"Exploring the Integration Development Strategy of Outdoor Sports and Sports Tourism in the Background of Internet","authors":"Zuofu Zhao","doi":"10.2478/amns.2023.2.01400","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01400","url":null,"abstract":"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.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"86 12","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138596121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01412
Xiaopan Cao, Xueting Dong, Chuang Li, Baoliang Zhang, Fan Liu
Abstract The intelligent customer service dialog model is centered on human-machine dialog, which has good prospects for commercial applications in multiple domains. In this paper, we use the Siamese-LSTM model to do vectorization of questions in the FAQ question and answer database to get the semantic representation vector of sentences, and then use the approximate retrieval algorithm to index the question and answer database and perform approximate nearest-neighbor retrieval of the query. After completing the question query, migration learning is employed to create a mapping between input questions and human responses, enabling the model to produce sentences that are similar to human responses. Tests show that the task success rate gradually stabilizes around 0.80 at about the 100th round and fluctuates up to around 0.986 after that. For the average number of conversation rounds, migration learning improves the conversation efficiency of intelligent customer service, and the average number of conversation rounds gradually stabilizes at about 150 rounds and eventually stabilizes at about 4.2 rounds as the number of training rounds increases. The transfer learning strategy helps machine responses to be as close to human responses as possible.
{"title":"Research on Multi-Domain Intelligent Customer Service Dialog Modeling with Integrated Transfer Learning Strategies","authors":"Xiaopan Cao, Xueting Dong, Chuang Li, Baoliang Zhang, Fan Liu","doi":"10.2478/amns.2023.2.01412","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01412","url":null,"abstract":"Abstract The intelligent customer service dialog model is centered on human-machine dialog, which has good prospects for commercial applications in multiple domains. In this paper, we use the Siamese-LSTM model to do vectorization of questions in the FAQ question and answer database to get the semantic representation vector of sentences, and then use the approximate retrieval algorithm to index the question and answer database and perform approximate nearest-neighbor retrieval of the query. After completing the question query, migration learning is employed to create a mapping between input questions and human responses, enabling the model to produce sentences that are similar to human responses. Tests show that the task success rate gradually stabilizes around 0.80 at about the 100th round and fluctuates up to around 0.986 after that. For the average number of conversation rounds, migration learning improves the conversation efficiency of intelligent customer service, and the average number of conversation rounds gradually stabilizes at about 150 rounds and eventually stabilizes at about 4.2 rounds as the number of training rounds increases. The transfer learning strategy helps machine responses to be as close to human responses as possible.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"28 11","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138598130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01381
Yihua Zeng
Abstract In this work, the ideology and political characteristics are iteratively calculated using Cuckoo Search Algorithms and the Extreme Learning Machine. The ideology and political objective function are then obtained using CS-ELM. A CS-ELM-based index framework for ideology and political education effect in educational institutions is developed, all of the bird’s nest objective function values are calculated, as well as the bird’s nest position with the highest objective function value is retained in order to accurately and effectively evaluate the current state of ideology and political education effect in educational institutions. The experimental data set is an evaluation of the ideology and political education effects of colleges and universities from 2013 to 2022. Research and analysis are conducted on the evaluation of ideology and political education in institution of higher education in order to remove the quantitative definition of the collected raw data, and mixing is used to process the raw data to make it into a dimensionless one. The hierarchy of higher education has an impact on the establishment of high-quality economies. The CS-ELM model is the best way to assess ideology and political teaching effectiveness in higher education institutions, as per the results. This is because, when looking at the evaluation from an overall perspective, the RMSE value is 0.007, and the R-value is 0.995. This study enhances the quality of instruction in the classroom, promotes a positive environment and attitude, and motivates students to be actively involved in their education.
{"title":"Analysis of the Implementation Path of Civic Education Work in institution of higher education under the Background of Internet+","authors":"Yihua Zeng","doi":"10.2478/amns.2023.2.01381","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01381","url":null,"abstract":"Abstract In this work, the ideology and political characteristics are iteratively calculated using Cuckoo Search Algorithms and the Extreme Learning Machine. The ideology and political objective function are then obtained using CS-ELM. A CS-ELM-based index framework for ideology and political education effect in educational institutions is developed, all of the bird’s nest objective function values are calculated, as well as the bird’s nest position with the highest objective function value is retained in order to accurately and effectively evaluate the current state of ideology and political education effect in educational institutions. The experimental data set is an evaluation of the ideology and political education effects of colleges and universities from 2013 to 2022. Research and analysis are conducted on the evaluation of ideology and political education in institution of higher education in order to remove the quantitative definition of the collected raw data, and mixing is used to process the raw data to make it into a dimensionless one. The hierarchy of higher education has an impact on the establishment of high-quality economies. The CS-ELM model is the best way to assess ideology and political teaching effectiveness in higher education institutions, as per the results. This is because, when looking at the evaluation from an overall perspective, the RMSE value is 0.007, and the R-value is 0.995. This study enhances the quality of instruction in the classroom, promotes a positive environment and attitude, and motivates students to be actively involved in their education.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"60 27","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138595113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01388
Ke Miao, Chenglei Chen, Xianqing Zheng
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.
{"title":"A study on the application of artificial intelligence in the design of intelligent medical robots","authors":"Ke Miao, Chenglei Chen, Xianqing Zheng","doi":"10.2478/amns.2023.2.01388","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01388","url":null,"abstract":"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.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"49 11","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138595167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01405
Pei Tang, Mengxiao Zhang
Abstract In this paper, we first establish a locally converged bioinformatics dataset based on gradient sampling and design an optimal data mining control model to improve the accuracy of bioinformatics big data feature mining. The performance of the Compressive Tracking algorithm and Online Bosting algorithm is compared with the mining error as a test index. At the same time, we propose a social media information dissemination algorithm applicable to large-scale social network datasets, taking the degree value of each node as the node’s full influence and comparing and analyzing the dissemination influence of BP-IM, RAND and MC-CELF algorithms. Finally, taking public health big data as the research object, the least squares regression method was used to analyze the influence of the amount of public attention to bioinformatics scientific knowledge on their scientific literacy in different media. The results showed that there was a significant positive correlation between scientific literacy and willingness to engage in science participation behavior on social media when the amount of public attention to scientific information was β =0225, p <0.01. When more people are interested in scientific knowledge of bioinformatics on social media, their scientific literacy will improve.
摘要本文首先建立了基于梯度采样的局部融合生物信息学数据集，并设计了最优数据挖掘控制模型，以提高生物信息学大数据特征挖掘的准确性。以挖掘误差为测试指标，比较了压缩跟踪算法和在线提升算法的性能。同时，我们提出了一种适用于大规模社交网络数据集的社交媒体信息传播算法，以每个节点的度值作为节点的全影响力，对比分析了BP-IM、RAND和MC-CELF算法的传播影响力。最后，以公共卫生大数据为研究对象，运用最小二乘回归方法，分析不同媒介下公众对生物信息学科学知识的关注度对其科学素养的影响。结果表明，当公众对科学信息的关注度为β =0225, p <0.01时，科学素养与参与社会媒体科学行为的意愿呈显著正相关。当更多的人在社交媒体上对生物信息学的科学知识感兴趣时，他们的科学素养就会提高。
{"title":"An empirical study of the impact of biological information dissemination in social media on public science literacy","authors":"Pei Tang, Mengxiao Zhang","doi":"10.2478/amns.2023.2.01405","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01405","url":null,"abstract":"Abstract In this paper, we first establish a locally converged bioinformatics dataset based on gradient sampling and design an optimal data mining control model to improve the accuracy of bioinformatics big data feature mining. The performance of the Compressive Tracking algorithm and Online Bosting algorithm is compared with the mining error as a test index. At the same time, we propose a social media information dissemination algorithm applicable to large-scale social network datasets, taking the degree value of each node as the node’s full influence and comparing and analyzing the dissemination influence of BP-IM, RAND and MC-CELF algorithms. Finally, taking public health big data as the research object, the least squares regression method was used to analyze the influence of the amount of public attention to bioinformatics scientific knowledge on their scientific literacy in different media. The results showed that there was a significant positive correlation between scientific literacy and willingness to engage in science participation behavior on social media when the amount of public attention to scientific information was β =0225, p <0.01. When more people are interested in scientific knowledge of bioinformatics on social media, their scientific literacy will improve.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"25 12","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138596272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.2478/amns.2023.2.01380
Bing Han
Abstract In this paper, for the common behaviors of students in classroom teaching, deep learning and the improved student behavior detection algorithm based on YOLOv5s are used to transform the source data into another high-level and high-abstract data expression to realize the detection of students’ behavior in class. Then, taking into account the real conditions of college students and the internal logic of deep learning and classroom teaching, we sort out the target conditions of college students’ deep learning and their brand-new requirements for college classroom teaching and innovate the art teaching mode in colleges and universities. The innovative art teaching mode is applied in the art classroom teaching of W College of Fine Arts, and the teaching effect is analyzed. The results show that the mean values of students’ evaluation in the five core literacy skills of image literacy, art expression, aesthetic judgment, creative practice, and cultural understanding increased by 12.6, 14.95, 17.66, 12.27, and 19.1 points after the innovation compared with those before the innovation. The above data show that the innovation of art teaching mode can enhance students’ motivation to learn and stimulate their creative passion, thus cultivating their creative ability, making students learn to inherit and carry forward the traditional culture of the Chinese nation, and enhancing their cultural self-confidence and national pride.
{"title":"The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities","authors":"Bing Han","doi":"10.2478/amns.2023.2.01380","DOIUrl":"https://doi.org/10.2478/amns.2023.2.01380","url":null,"abstract":"Abstract In this paper, for the common behaviors of students in classroom teaching, deep learning and the improved student behavior detection algorithm based on YOLOv5s are used to transform the source data into another high-level and high-abstract data expression to realize the detection of students’ behavior in class. Then, taking into account the real conditions of college students and the internal logic of deep learning and classroom teaching, we sort out the target conditions of college students’ deep learning and their brand-new requirements for college classroom teaching and innovate the art teaching mode in colleges and universities. The innovative art teaching mode is applied in the art classroom teaching of W College of Fine Arts, and the teaching effect is analyzed. The results show that the mean values of students’ evaluation in the five core literacy skills of image literacy, art expression, aesthetic judgment, creative practice, and cultural understanding increased by 12.6, 14.95, 17.66, 12.27, and 19.1 points after the innovation compared with those before the innovation. The above data show that the innovation of art teaching mode can enhance students’ motivation to learn and stimulate their creative passion, thus cultivating their creative ability, making students learn to inherit and carry forward the traditional culture of the Chinese nation, and enhancing their cultural self-confidence and national pride.","PeriodicalId":52342,"journal":{"name":"Applied Mathematics and Nonlinear Sciences","volume":"1 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138597240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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