Data mining algorithm is a very popular algorithm now. Today, with the popularization of e-commerce models, the relationship between traditional enterprises and customers has undergone certain changes, and enterprises need to be customized according to customer needs. Based on the data mining algorithm, this paper conducts an in-depth study of the marketing data refined push algorithm, and finds the balance point in line with the relationship between the enterprise and the customer. This research is in the specific marketing process, applying data mining algorithms and related technologies to analyze the collected customer information, and formulating appropriate refined and private marketing strategies. Using this algorithm can achieve long-term and effective results with customers. cooperate. Experimental results show that customer relationship management is now one of the most important issues for enterprises to consider. The accuracy and recall rates of customer data information are 0.102875 and 0.095874, respectively. Now the relationship with customers is effectively maintained and corresponding. The push has gradually attracted attention from many aspects.
{"title":"Refined Push Algorithm of Marketing Data Based on Data Mining Algorithm","authors":"Zhen-hong Xie","doi":"10.1145/3510858.3510883","DOIUrl":"https://doi.org/10.1145/3510858.3510883","url":null,"abstract":"Data mining algorithm is a very popular algorithm now. Today, with the popularization of e-commerce models, the relationship between traditional enterprises and customers has undergone certain changes, and enterprises need to be customized according to customer needs. Based on the data mining algorithm, this paper conducts an in-depth study of the marketing data refined push algorithm, and finds the balance point in line with the relationship between the enterprise and the customer. This research is in the specific marketing process, applying data mining algorithms and related technologies to analyze the collected customer information, and formulating appropriate refined and private marketing strategies. Using this algorithm can achieve long-term and effective results with customers. cooperate. Experimental results show that customer relationship management is now one of the most important issues for enterprises to consider. The accuracy and recall rates of customer data information are 0.102875 and 0.095874, respectively. Now the relationship with customers is effectively maintained and corresponding. The push has gradually attracted attention from many aspects.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"23 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83555128","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}
Breast cancer is the second leading cause of cancer death in women, which seriously endangers women's health. Breast tumor segmentation is one of the most critical and difficult tasks. In order to realize the automatic and rapid positioning of seed points and meet the needs of real-time online image segmentation, this paper presents an automatic positioning method of seed points in ultrasound breast tumor images based on fuzzy logic algorithm. The fuzzy logic is innovatively introduced into neural network, which is combined with the method of recalibrating the importance of characteristic elements in attention mechanism. By defining a reasonable fuzzy membership function, different diffusion coefficients are adopted for different pixel gradients. Automatic reference points are obtained by using the automatic reference point selection method based on texture features of image gray level co-occurrence matrix. On this basis, the seed points are iteratively obtained by Mean−Shift algorithm, which is the tumor area. Simulation results show that the proposed method is superior to most existing fuzzy closed-value segmentation methods.
{"title":"Research on Automatic Location of Seed Points in Ultrasound Breast Tumor Images Based on Fuzzy Logic Algorithm","authors":"Tianyu Zhao, Hang Dai","doi":"10.1145/3510858.3511380","DOIUrl":"https://doi.org/10.1145/3510858.3511380","url":null,"abstract":"Breast cancer is the second leading cause of cancer death in women, which seriously endangers women's health. Breast tumor segmentation is one of the most critical and difficult tasks. In order to realize the automatic and rapid positioning of seed points and meet the needs of real-time online image segmentation, this paper presents an automatic positioning method of seed points in ultrasound breast tumor images based on fuzzy logic algorithm. The fuzzy logic is innovatively introduced into neural network, which is combined with the method of recalibrating the importance of characteristic elements in attention mechanism. By defining a reasonable fuzzy membership function, different diffusion coefficients are adopted for different pixel gradients. Automatic reference points are obtained by using the automatic reference point selection method based on texture features of image gray level co-occurrence matrix. On this basis, the seed points are iteratively obtained by Mean−Shift algorithm, which is the tumor area. Simulation results show that the proposed method is superior to most existing fuzzy closed-value segmentation methods.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"85 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84083429","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}
Modern educational technology is the deep integration of educational technology and information technology, using computer-based information technology as the core of the theory and technology of educational teaching. Modern educational technology can provide students with a personalised and independent learning teaching environment and facilitate communication between teachers, students and pupils across time and space. Based on modern education technology, the online teaching platform of "Exercise Physiology" course is constructed to complement the traditional pre- and post-course education, maximising the release of teaching energy and allowing learning to never go offline. This paper constructs a knowledge mapping of "Exercise Physiology" course, based on the principles and methods of modern educational technology, and uses use case model for requirements analysis and a hierarchy diagram for functional design to improve a complete solution for platform development and help online teaching and learning to take place.
{"title":"Analysis of Knowledge Graph Model of Exercise Physiology Based on Computer Information Technology","authors":"J. Chi","doi":"10.1145/3510858.3511003","DOIUrl":"https://doi.org/10.1145/3510858.3511003","url":null,"abstract":"Modern educational technology is the deep integration of educational technology and information technology, using computer-based information technology as the core of the theory and technology of educational teaching. Modern educational technology can provide students with a personalised and independent learning teaching environment and facilitate communication between teachers, students and pupils across time and space. Based on modern education technology, the online teaching platform of \"Exercise Physiology\" course is constructed to complement the traditional pre- and post-course education, maximising the release of teaching energy and allowing learning to never go offline. This paper constructs a knowledge mapping of \"Exercise Physiology\" course, based on the principles and methods of modern educational technology, and uses use case model for requirements analysis and a hierarchy diagram for functional design to improve a complete solution for platform development and help online teaching and learning to take place.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83786778","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}
With the improvement of my country's international status and closer exchanges with other countries, English is the universal language of the world. The country and society urgently need compound talents with comprehensive qualities and pay more attention to the practical skills of English. In this case, an intelligent fuzzy system(IFS) for English teaching was created. The system uses data mining technology to analyze the learning effects of students and optimize the teaching mode. This paper uses interviews to understand the students' English learning situation, constructs an English teaching IFS, and uses the online recommendation algorithm in data mining to analyze the data of the students' English learning situation in the system. The analysis results show that the majority of students learn English by watching English movies in their spare time, accounting for 37%, and the least number of students learning English by other methods, accounting for 11%.
{"title":"Construction of an Intelligent Fuzzy System for English Teaching Based on Data Mining Algorithms","authors":"Yang Gao","doi":"10.1145/3510858.3510910","DOIUrl":"https://doi.org/10.1145/3510858.3510910","url":null,"abstract":"With the improvement of my country's international status and closer exchanges with other countries, English is the universal language of the world. The country and society urgently need compound talents with comprehensive qualities and pay more attention to the practical skills of English. In this case, an intelligent fuzzy system(IFS) for English teaching was created. The system uses data mining technology to analyze the learning effects of students and optimize the teaching mode. This paper uses interviews to understand the students' English learning situation, constructs an English teaching IFS, and uses the online recommendation algorithm in data mining to analyze the data of the students' English learning situation in the system. The analysis results show that the majority of students learn English by watching English movies in their spare time, accounting for 37%, and the least number of students learning English by other methods, accounting for 11%.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"159 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80044393","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}
With the wide application of virtual reality technology in the field of architecture, the research on three-dimensional digital technology and virtual simulation technology of building model has become an important topic. Based on the analysis of the structural characteristics of Chinese ancient buildings, this paper takes the structure of Chinese ancient buildings as the standard to model 3D scenes, and discusses the process and method of reconstructing 3D models of Chinese ancient buildings from image sequences. Furthermore, using the techniques of line segment detection, image region merging and image segmentation, the units of ancient buildings are subdivided to get more detailed features of ancient buildings. At the same time, OpenGL or DirectX and other related roaming technologies are used to build 3D scenes, and a real-time virtual simulation system is established, thus realizing the virtual roaming of 3D models of ancient buildings in the simulation scene environment. Truly reappearing traditional architecture and its representative culture provides a feasible route for the digital protection of ancient Chinese architecture.
{"title":"Research on 3D Digital Modeling and Virtual Simulation Technology of Ancient Architecture Based on Image Sequence","authors":"Meng Wang, Mingyang Li","doi":"10.1145/3510858.3511351","DOIUrl":"https://doi.org/10.1145/3510858.3511351","url":null,"abstract":"With the wide application of virtual reality technology in the field of architecture, the research on three-dimensional digital technology and virtual simulation technology of building model has become an important topic. Based on the analysis of the structural characteristics of Chinese ancient buildings, this paper takes the structure of Chinese ancient buildings as the standard to model 3D scenes, and discusses the process and method of reconstructing 3D models of Chinese ancient buildings from image sequences. Furthermore, using the techniques of line segment detection, image region merging and image segmentation, the units of ancient buildings are subdivided to get more detailed features of ancient buildings. At the same time, OpenGL or DirectX and other related roaming technologies are used to build 3D scenes, and a real-time virtual simulation system is established, thus realizing the virtual roaming of 3D models of ancient buildings in the simulation scene environment. Truly reappearing traditional architecture and its representative culture provides a feasible route for the digital protection of ancient Chinese architecture.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73225781","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}
Machine translation English technology uses computers to translate one natural language into another, and quickly convert between different languages. The translation efficiency of English automatic translation technology is low. In order to meet the needs of real-time application rather than people's expectations, the process of generating correct translation in English translation system is inseparable from the participation of translators. In this case, researchers turn their attention from automatic English translation to computer-aided English translation. The system provides translators with useful translation and auxiliary tools to help them review the translation. The interaction between the machine translation English system and the translator can guide the computer to decode and improve the quality of the output translation, so as to realize the combination of the high efficiency of the English translation system and the high accuracy of the translator. The current basic IMT method takes Internet information technology as an example to expand the scope of candidate translation elements, and designs an interactive interface based on the translator's cognitive translation process to improve the post-translation process. This paper introduces the research situation and subject source of relevant researchers in the field of interactive machine translation English in detail. The research results show that this method is effective. More computer experts and scholars also study machine translation English system and devote themselves to the research of Internet machine translation. Compared with the traditional translation methods, it improves the work efficiency.
{"title":"Optimization of English Machine Translation Algorithm Based on Internet Information Technology","authors":"Qiang Tong","doi":"10.1145/3510858.3510898","DOIUrl":"https://doi.org/10.1145/3510858.3510898","url":null,"abstract":"Machine translation English technology uses computers to translate one natural language into another, and quickly convert between different languages. The translation efficiency of English automatic translation technology is low. In order to meet the needs of real-time application rather than people's expectations, the process of generating correct translation in English translation system is inseparable from the participation of translators. In this case, researchers turn their attention from automatic English translation to computer-aided English translation. The system provides translators with useful translation and auxiliary tools to help them review the translation. The interaction between the machine translation English system and the translator can guide the computer to decode and improve the quality of the output translation, so as to realize the combination of the high efficiency of the English translation system and the high accuracy of the translator. The current basic IMT method takes Internet information technology as an example to expand the scope of candidate translation elements, and designs an interactive interface based on the translator's cognitive translation process to improve the post-translation process. This paper introduces the research situation and subject source of relevant researchers in the field of interactive machine translation English in detail. The research results show that this method is effective. More computer experts and scholars also study machine translation English system and devote themselves to the research of Internet machine translation. Compared with the traditional translation methods, it improves the work efficiency.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"256 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76669791","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}
As for the optimization of Web sites, the optimization technology in the background is mature, but the research and attention on the performance optimization of Web front-end is far from enough. Based on XML, this paper first analyzes the research status from the research background of Web front-end performance optimization. Then, the principles of request response mechanism, HTTP protocol analysis, browser response mechanism and the particularity of mobile Web front-end are analyzed. According to the research and analysis of front-end related theories and the experience of engineering practice, a series of optimization schemes are put forward from the aspects of page composition, picture and Web cache. Finally, a comprehensive experimental test is carried out by combining theory with practice, which verifies the positive influence of the optimization scheme on the performance optimization of Web front-end.
{"title":"Research on Web Front-end Performance Optimization Based on XML","authors":"Shu-Jie Han","doi":"10.1145/3510858.3511366","DOIUrl":"https://doi.org/10.1145/3510858.3511366","url":null,"abstract":"As for the optimization of Web sites, the optimization technology in the background is mature, but the research and attention on the performance optimization of Web front-end is far from enough. Based on XML, this paper first analyzes the research status from the research background of Web front-end performance optimization. Then, the principles of request response mechanism, HTTP protocol analysis, browser response mechanism and the particularity of mobile Web front-end are analyzed. According to the research and analysis of front-end related theories and the experience of engineering practice, a series of optimization schemes are put forward from the aspects of page composition, picture and Web cache. Finally, a comprehensive experimental test is carried out by combining theory with practice, which verifies the positive influence of the optimization scheme on the performance optimization of Web front-end.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"186 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76946212","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}
It is very important to continuously strengthen cost control in construction project management, which can further improve the effective utilization of funds and better promote the development of enterprises. Therefore, in the process of practical application, enterprise managers need to improve their awareness of cost control, follow relevant principles and optimize control from many aspects, so as to better ensure the overall cost control effect and promote the development of construction enterprises. In this case, the construction engineering unit should reduce the production and operation cost of the enterprise and maximize the economic benefit. This paper studies the application of data mining technology in the operation and management of construction enterprises, and puts forward the construction project quality cost optimization and control algorithm based on data mining model, so as to improve the operation and management performance of construction enterprises by accurately mining the relevant data of construction enterprises.
{"title":"Optimization and Control Algorithm of Construction Engineering Quality Cost Based on Data Mining Model","authors":"Lu Han","doi":"10.1145/3510858.3511407","DOIUrl":"https://doi.org/10.1145/3510858.3511407","url":null,"abstract":"It is very important to continuously strengthen cost control in construction project management, which can further improve the effective utilization of funds and better promote the development of enterprises. Therefore, in the process of practical application, enterprise managers need to improve their awareness of cost control, follow relevant principles and optimize control from many aspects, so as to better ensure the overall cost control effect and promote the development of construction enterprises. In this case, the construction engineering unit should reduce the production and operation cost of the enterprise and maximize the economic benefit. This paper studies the application of data mining technology in the operation and management of construction enterprises, and puts forward the construction project quality cost optimization and control algorithm based on data mining model, so as to improve the operation and management performance of construction enterprises by accurately mining the relevant data of construction enterprises.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73863249","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}
Rapidly developed artificial intelligence technology has become one of the main areas of high-tech future competition. The advancement of communication technology has entered the agenda for the application of the Internet of Things, and has entered the implementation phase. Artificial intelligence has been used as an important network. This paper introduces the concept of artificial intelligence and the Internet of Things, discusses the technical support and combination behind them, based on related applications on the Internet and artificial intelligence. Provide some reference value for the development of the Internet of Things.
{"title":"Research on the Application of Internet of Things Based on Artificial Intelligence Technology","authors":"Xiao-hua Wang","doi":"10.1145/3510858.3510987","DOIUrl":"https://doi.org/10.1145/3510858.3510987","url":null,"abstract":"Rapidly developed artificial intelligence technology has become one of the main areas of high-tech future competition. The advancement of communication technology has entered the agenda for the application of the Internet of Things, and has entered the implementation phase. Artificial intelligence has been used as an important network. This paper introduces the concept of artificial intelligence and the Internet of Things, discusses the technical support and combination behind them, based on related applications on the Internet and artificial intelligence. Provide some reference value for the development of the Internet of Things.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78893901","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}
With the development of the Internet, the international trade system has the characteristics of complexity. According to the idea of complex networks, we regard international trade as a complex network: countries are the key points of international trade networks, trade links between countries are links in the network, and trade flows are used to assign weights to links. Therefore, how to apply accurate algorithms to analyze the characteristics of the international trade network has become an important subject of our research. In-depth study of the characteristics of the international trade network and the simplification of the network are of very important significance. This article introduces the overview of the international trade network and the PageRank algorithm in detail through a large number of literature readings and questionnaire surveys, and proposes an improved algorithm for PageRank. Through an in-depth study of the PageRank algorithm knowledge of international trade students from a university and technical personnel and management personnel of a foreign trade company, the improved PageRank algorithm simulates the information diffusion process in the network and uses all data points to spread to the network. Each node receives information from other nodes as the basis for merging between communities, and introduces modularity as the basis for merging between communities to evaluate the pros and cons of community division. Finally, the test results of the network algorithm show that the improved algorithm can achieve excellent performance quality on the international trade network.
{"title":"Analysis of Characteristics of International Trade Network Based on PageRank Algorithm","authors":"Zhong Chen","doi":"10.1145/3510858.3510966","DOIUrl":"https://doi.org/10.1145/3510858.3510966","url":null,"abstract":"With the development of the Internet, the international trade system has the characteristics of complexity. According to the idea of complex networks, we regard international trade as a complex network: countries are the key points of international trade networks, trade links between countries are links in the network, and trade flows are used to assign weights to links. Therefore, how to apply accurate algorithms to analyze the characteristics of the international trade network has become an important subject of our research. In-depth study of the characteristics of the international trade network and the simplification of the network are of very important significance. This article introduces the overview of the international trade network and the PageRank algorithm in detail through a large number of literature readings and questionnaire surveys, and proposes an improved algorithm for PageRank. Through an in-depth study of the PageRank algorithm knowledge of international trade students from a university and technical personnel and management personnel of a foreign trade company, the improved PageRank algorithm simulates the information diffusion process in the network and uses all data points to spread to the network. Each node receives information from other nodes as the basis for merging between communities, and introduces modularity as the basis for merging between communities to evaluate the pros and cons of community division. Finally, the test results of the network algorithm show that the improved algorithm can achieve excellent performance quality on the international trade network.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"11 11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86161416","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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