As context-aware applications are becoming increasingly popular, there are also mounting demands for privacy protection systems. In our work, we propose a context-aware privacy protection system that consists of three modules and aims to recognize the user privacy behavior, classify the context-aware applications and recommend a set of protection action scenarios for the user privacy profile settings. Each module is a challenging problem that needs to be addressed using supervised and unsupervised Machine Learning (ML) algorithms. Part 1 of our work, this paper, consists of deploying hybrid techniques to handle the privacy controller module tasks. Logistic Regression (LR) learning algorithm is integrated with Statistical Method (SM) to recognize user privacy complex activities. The potential of the proposed system is demonstrated using a large-scale real-world dataset provided by institutes from Kuwait, the United States and Belgium. The system demonstration shows promising results with an accuracy of 97.9%.
{"title":"A Privacy Protection System in Context-aware Environment The Privacy Controller Module","authors":"Tahani Hussain, Ranya Alawadhi","doi":"10.1145/3428757.3429090","DOIUrl":"https://doi.org/10.1145/3428757.3429090","url":null,"abstract":"As context-aware applications are becoming increasingly popular, there are also mounting demands for privacy protection systems. In our work, we propose a context-aware privacy protection system that consists of three modules and aims to recognize the user privacy behavior, classify the context-aware applications and recommend a set of protection action scenarios for the user privacy profile settings. Each module is a challenging problem that needs to be addressed using supervised and unsupervised Machine Learning (ML) algorithms. Part 1 of our work, this paper, consists of deploying hybrid techniques to handle the privacy controller module tasks. Logistic Regression (LR) learning algorithm is integrated with Statistical Method (SM) to recognize user privacy complex activities. The potential of the proposed system is demonstrated using a large-scale real-world dataset provided by institutes from Kuwait, the United States and Belgium. The system demonstration shows promising results with an accuracy of 97.9%.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129844806","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}
The "digital transformation" is perceived as the key enabler for increasing wealth and well-being by many in politics, media and among the citizens alike. In the same vein, e-Government steadily received and receives more and more attention. e-Government gives rise to complex, large-scale system landscapes consisting of many players and technological systems - and we call such system landscapes e-Government ecosystems. In this talk, we are interested in the architecture of e-Government ecosystems. "Form ever follows function." Now, what is the function that determines e-Government? And what is the form in which it manifests? After briefly reviewing the purpose of e-Government from a democratic as well as a technocratic viewpoint, we will discover the primacy of the state's institutional design in the architecture of e-Government ecosystems. From there, we will arrive at the notion of data governance architecture, which provides the core of all system design efforts in e-Government. A data governance architecture maps data assets to accountable legal entities and represents the essence of co-designing institutions and technological systems. Against the background of what has been achieved, we review a series of established and emerging technologies that have been explicitly designed for or are otherwise relevant for building e-Government systems.
{"title":"On Architecture of e-Government Ecosystems: from e-Services to e-Participation: [iiWAS'2020 Keynote]","authors":"D. Draheim","doi":"10.1145/3428757.3429972","DOIUrl":"https://doi.org/10.1145/3428757.3429972","url":null,"abstract":"The \"digital transformation\" is perceived as the key enabler for increasing wealth and well-being by many in politics, media and among the citizens alike. In the same vein, e-Government steadily received and receives more and more attention. e-Government gives rise to complex, large-scale system landscapes consisting of many players and technological systems - and we call such system landscapes e-Government ecosystems. In this talk, we are interested in the architecture of e-Government ecosystems. \"Form ever follows function.\" Now, what is the function that determines e-Government? And what is the form in which it manifests? After briefly reviewing the purpose of e-Government from a democratic as well as a technocratic viewpoint, we will discover the primacy of the state's institutional design in the architecture of e-Government ecosystems. From there, we will arrive at the notion of data governance architecture, which provides the core of all system design efforts in e-Government. A data governance architecture maps data assets to accountable legal entities and represents the essence of co-designing institutions and technological systems. Against the background of what has been achieved, we review a series of established and emerging technologies that have been explicitly designed for or are otherwise relevant for building e-Government systems.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122405853","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}
V. Carchiolo, Marco Grassia, A. Longheu, M. Malgeri, G. Mangioni
The provision of wellness in workplaces gained interest in the last decades. A factor that contributes significantly to workers' health is their diet, expecially when provided by canteen services. The assessment of such a service involves questions as food cost, its sustainability, quality, nutritional facts and variety, as well as employees' health and diseases prevention, productivity increase, economic convenience vs eating satisfaction when using canteen services. In this paper, a multi-company canteen service dataset is presented and first significant considerations, as well as future directions, are discussed.
{"title":"A network-based analysis to understand food-habits of a multi-company canteen's customers","authors":"V. Carchiolo, Marco Grassia, A. Longheu, M. Malgeri, G. Mangioni","doi":"10.1145/3428757.3429093","DOIUrl":"https://doi.org/10.1145/3428757.3429093","url":null,"abstract":"The provision of wellness in workplaces gained interest in the last decades. A factor that contributes significantly to workers' health is their diet, expecially when provided by canteen services. The assessment of such a service involves questions as food cost, its sustainability, quality, nutritional facts and variety, as well as employees' health and diseases prevention, productivity increase, economic convenience vs eating satisfaction when using canteen services. In this paper, a multi-company canteen service dataset is presented and first significant considerations, as well as future directions, are discussed.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127973793","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}
Building on the rising interest in online crowdsourcing platforms, and the ever-rising concerns over mental health issues worldwide; in this paper, we propose a novel citizen-oriented web-based Collective Intelligence (CI) platform called 'CommunityCare'. The platform is meant to be focused on end-users' communities and aims to empower its users by allowing them to work collectively when helping those suffering from mental health issues such as depression, anxiety, and stress. Through our work, we attempt to make two distinct contributions: first, we elucidate an abstract yet novel CI platform for mental health, that could enable citizen volunteers and medical practitioners to work together to help those suffering from psychological/behavioural issues; and second, we evaluate our previously proposed 'generic' CI framework by utilizing the said platform as a use case for the same. We describe the 'CommunityCare' platform through the four primary components of CI systems, namely: staffing, processes, goals and motivation.
{"title":"CommunityCare","authors":"Shweta Suran, Vishwajeet Pattanaik, D. Draheim","doi":"10.1145/3428757.3429114","DOIUrl":"https://doi.org/10.1145/3428757.3429114","url":null,"abstract":"Building on the rising interest in online crowdsourcing platforms, and the ever-rising concerns over mental health issues worldwide; in this paper, we propose a novel citizen-oriented web-based Collective Intelligence (CI) platform called 'CommunityCare'. The platform is meant to be focused on end-users' communities and aims to empower its users by allowing them to work collectively when helping those suffering from mental health issues such as depression, anxiety, and stress. Through our work, we attempt to make two distinct contributions: first, we elucidate an abstract yet novel CI platform for mental health, that could enable citizen volunteers and medical practitioners to work together to help those suffering from psychological/behavioural issues; and second, we evaluate our previously proposed 'generic' CI framework by utilizing the said platform as a use case for the same. We describe the 'CommunityCare' platform through the four primary components of CI systems, namely: staffing, processes, goals and motivation.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114967342","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}
In recent years, studies on hypergraph that is a generalization of graphs and can represent relationships of two or more nodes, have been actively conducted, however, clustering methods over them have not been established yet. In this study, we propose a fast clustering method where a hypergraph is expanded to a bipartite graph by treating hyperedges as nodes, the relationship between the node and the hyperedge is defined by TFIDF, and the value is treated as the weight of the bipartite edge. Our algorithm can efficiently grasp clusters by restoring bipartite edges in descending order of TFIDF weights and merging nodes reachable along the edges into clusters. Based on the bipartite edge restoration and node reachability, we can realize an efficient and effective clustering for a large-scale hypergraph. Furthermore, by performing our method to hyperedges, one can obtain hard-partitioned hyperedges, and exploiting them, also obtain soft-partitioned nodes. Experimental evaluations using small-scale artificial and large-scale real datasets show that our method outputs more accurate clusters in terms of F1 score between the estimated and the actual clusters, and modularity. In addition, the execution time of our method is significantly faster than the compared existing method. As for the soft-clustering, our method produces results with a more balanced size of clusters.
{"title":"Fast Clustering of Hypergraphs Based on Bipartite-Edge Restoration and Node Reachability","authors":"Shuta Ito, Takayasu Fushimi","doi":"10.1145/3428757.3429095","DOIUrl":"https://doi.org/10.1145/3428757.3429095","url":null,"abstract":"In recent years, studies on hypergraph that is a generalization of graphs and can represent relationships of two or more nodes, have been actively conducted, however, clustering methods over them have not been established yet. In this study, we propose a fast clustering method where a hypergraph is expanded to a bipartite graph by treating hyperedges as nodes, the relationship between the node and the hyperedge is defined by TFIDF, and the value is treated as the weight of the bipartite edge. Our algorithm can efficiently grasp clusters by restoring bipartite edges in descending order of TFIDF weights and merging nodes reachable along the edges into clusters. Based on the bipartite edge restoration and node reachability, we can realize an efficient and effective clustering for a large-scale hypergraph. Furthermore, by performing our method to hyperedges, one can obtain hard-partitioned hyperedges, and exploiting them, also obtain soft-partitioned nodes. Experimental evaluations using small-scale artificial and large-scale real datasets show that our method outputs more accurate clusters in terms of F1 score between the estimated and the actual clusters, and modularity. In addition, the execution time of our method is significantly faster than the compared existing method. As for the soft-clustering, our method produces results with a more balanced size of clusters.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116427651","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 advent of the web 2.0, user-centric, consumers are increasingly becoming producers of information. He can express his opinions on the monetary exchange of goods, services and information through annotations. An annotation takes many different forms and is used for many different functions. This annotative activity is carried out by systems specially developed to annotate the products or services of an online commerce web site. In the literature, many tools have been developed to annotate various products and services. In this article, we present a classification of thirty annotation tools developed by industry and academia. This organization of annotation tools is built on the basis of functionalities that they offer. From this classification, we present our observations and the limits of these systems.
{"title":"Web-based Applications and Services of Annotation in Electronic Commerce","authors":"N. Charradi, Anis Kalboussi, A. Kacem","doi":"10.1145/3428757.3429122","DOIUrl":"https://doi.org/10.1145/3428757.3429122","url":null,"abstract":"With the advent of the web 2.0, user-centric, consumers are increasingly becoming producers of information. He can express his opinions on the monetary exchange of goods, services and information through annotations. An annotation takes many different forms and is used for many different functions. This annotative activity is carried out by systems specially developed to annotate the products or services of an online commerce web site. In the literature, many tools have been developed to annotate various products and services. In this article, we present a classification of thirty annotation tools developed by industry and academia. This organization of annotation tools is built on the basis of functionalities that they offer. From this classification, we present our observations and the limits of these systems.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"648 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123349759","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}
N. Kosugi, Shunsuke Sato, K. Yoshiyama, Dai Noguchi, K. Yamanaka, H. Kazui
This paper introduces the newest features and analysis of access logs of Ninchisho Chienowa-net, a web system that publishes the probability that coping methods for various symptoms occurring in patients with dementia will "go well" (probability of success). With an aim of reducing the burden on dementia caregivers, Ninchisho Chienowa-net not only publishes the probability of success of coping methods and information on dementia care, but is also equipped with features to collect experiences of coping methods for specific symptoms and to support the discovery of various coping methods. Since its launch in 2015, the site has seen a steady increase in the number of registered users and amount of access. Analysis of the access logs of Ninchisho Chienowa-net carried out in this study revealed that the access rate for the list of individual care topics is high and that it is necessary to prepare for large-scale access in the future.
{"title":"Ninchisho Chienowa-net: A web system that calculates and publishes the probability of success of coping methods for behavioral and psychological symptoms of dementia","authors":"N. Kosugi, Shunsuke Sato, K. Yoshiyama, Dai Noguchi, K. Yamanaka, H. Kazui","doi":"10.1145/3428757.3429119","DOIUrl":"https://doi.org/10.1145/3428757.3429119","url":null,"abstract":"This paper introduces the newest features and analysis of access logs of Ninchisho Chienowa-net, a web system that publishes the probability that coping methods for various symptoms occurring in patients with dementia will \"go well\" (probability of success). With an aim of reducing the burden on dementia caregivers, Ninchisho Chienowa-net not only publishes the probability of success of coping methods and information on dementia care, but is also equipped with features to collect experiences of coping methods for specific symptoms and to support the discovery of various coping methods. Since its launch in 2015, the site has seen a steady increase in the number of registered users and amount of access. Analysis of the access logs of Ninchisho Chienowa-net carried out in this study revealed that the access rate for the list of individual care topics is high and that it is necessary to prepare for large-scale access in the future.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806612","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}
Emoticons are pictographic representations of facial expressions that are used to convey emotions in text messages and other similar methods of communication. Most research on emoticons has examined how they are used in public forums rather than in private messaging. Using a sample of undergraduate students (n=106; male 52.83%; mean age 20.26 years, SD 1.93), this study examines the use of emoticons in private text communication. Results reveal that emoticon usage is highest amongst friends, followed by siblings, then parents, other family members and more distant connections. Emoticons representing positive emotions are more commonly used than those representing strong negative emotions. Emoticons representing relief were found to be used particularly within peer group communication, whereas emoticons representing contentment were used more with family members and other, more distant, connections. The use of the "Relieved" emoticon with peers may reflect overcoming the stressors associated with shared educational challenges, whereas using the "Content" emoticon outside peers and family may represent emotional modulation and presentation.
{"title":"Relationships between emoticon usage and recipient groups in students' text messages","authors":"P. Teh, Pei Boon Ooi, C. M. Gill","doi":"10.1145/3428757.3429127","DOIUrl":"https://doi.org/10.1145/3428757.3429127","url":null,"abstract":"Emoticons are pictographic representations of facial expressions that are used to convey emotions in text messages and other similar methods of communication. Most research on emoticons has examined how they are used in public forums rather than in private messaging. Using a sample of undergraduate students (n=106; male 52.83%; mean age 20.26 years, SD 1.93), this study examines the use of emoticons in private text communication. Results reveal that emoticon usage is highest amongst friends, followed by siblings, then parents, other family members and more distant connections. Emoticons representing positive emotions are more commonly used than those representing strong negative emotions. Emoticons representing relief were found to be used particularly within peer group communication, whereas emoticons representing contentment were used more with family members and other, more distant, connections. The use of the \"Relieved\" emoticon with peers may reflect overcoming the stressors associated with shared educational challenges, whereas using the \"Content\" emoticon outside peers and family may represent emotional modulation and presentation.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125235475","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}
Semantic content generalization is a method for text summarization that reduces the difficulty of training of neural networks by replacing some phrases such as named entities with generalized terms. The semantic content generalization has achieved remarkable results in enhancing the performance of the sequence to sequence attention model. Besides that, the pointer generator network could ease the training of the summarization based on a mechanism that copies words from the original text, which shares a similar idea with semantic content generalization. The purpose of this work is to test and verify the effect of semantic content generalization on the pointer generator network. Therefore, we use the preprocessing of semantic content generalization and then combine it with the pointer generator network. We examine the performance through an experiment using CNN/DailyMail dataset. From the experiment, we found that the semantic content generalization can improve the performance of the pointer generator network.
{"title":"Effect of Semantic Content Generalization on Pointer Generator Network in Text Summarization","authors":"Yixuan Wu, Kei Wakabayashi","doi":"10.1145/3428757.3429118","DOIUrl":"https://doi.org/10.1145/3428757.3429118","url":null,"abstract":"Semantic content generalization is a method for text summarization that reduces the difficulty of training of neural networks by replacing some phrases such as named entities with generalized terms. The semantic content generalization has achieved remarkable results in enhancing the performance of the sequence to sequence attention model. Besides that, the pointer generator network could ease the training of the summarization based on a mechanism that copies words from the original text, which shares a similar idea with semantic content generalization. The purpose of this work is to test and verify the effect of semantic content generalization on the pointer generator network. Therefore, we use the preprocessing of semantic content generalization and then combine it with the pointer generator network. We examine the performance through an experiment using CNN/DailyMail dataset. From the experiment, we found that the semantic content generalization can improve the performance of the pointer generator network.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116784159","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}
Most recommendation systems excessively pursue the recommendation accuracy and give rise to over-specialization. However, the existing recommendation systems research has not studied serendipity much. Hence, the serendipitous item recommendation has received more attention in recent years. The serendipitous recommendation of our research is not included in the area that the user predict easily but recommends the keywords that match the potential preferences. Potential preferences are those that are present in the user profile, which the user may not know. In this research, we recommend keywords that can express serendipity by intersecting the relation between keywords mainly. Furthermore, we propose the related page recommendation method on Web IndeX System for recommending linked pages related to these serendipitous keywords based on the user's potential preferences.
{"title":"Serendipitous Page Recommendation on Web IndeX System with Potential Preferences","authors":"Xingyu Chen, Jun Nemoto, Motomichi Toyama","doi":"10.1145/3428757.3429132","DOIUrl":"https://doi.org/10.1145/3428757.3429132","url":null,"abstract":"Most recommendation systems excessively pursue the recommendation accuracy and give rise to over-specialization. However, the existing recommendation systems research has not studied serendipity much. Hence, the serendipitous item recommendation has received more attention in recent years. The serendipitous recommendation of our research is not included in the area that the user predict easily but recommends the keywords that match the potential preferences. Potential preferences are those that are present in the user profile, which the user may not know. In this research, we recommend keywords that can express serendipity by intersecting the relation between keywords mainly. Furthermore, we propose the related page recommendation method on Web IndeX System for recommending linked pages related to these serendipitous keywords based on the user's potential preferences.","PeriodicalId":212557,"journal":{"name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","volume":"578 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127085085","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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