L. Terças, D. D. S. Moraes, D. D. S. Ribeiro, M. C. M. Neto, Carlos de Salles Soares Neto
NCL (Nested Context Language) is a notation for hypermedia application authoring, designed to facilitate the modeling and authoring of Digital TV applications for authors with different levels of programming knowledge. However, the ease of use of NCL is questionable due to XML notation and has been the subject of study of several works that analyze its usability while proposing other solutions. This work presents sNCL (simpler NCL), a declarative domain specific language, projected using guidelines established by the CDN (Cognitive Dimensions of Notation) framework applied to NCL. To validate the proposal, an experiment with a questionnaire on the success factors in NCL and sNCL is applied to users with experience in authoring with NCL, comparing their opinions on both languages. The experiment demonstrates that sNCL gains in usability, which can improve, therefore, the performance of authors in the development of applications.
{"title":"Usability-based Language for Authoring NCL Documents","authors":"L. Terças, D. D. S. Moraes, D. D. S. Ribeiro, M. C. M. Neto, Carlos de Salles Soares Neto","doi":"10.1145/3126858.3126866","DOIUrl":"https://doi.org/10.1145/3126858.3126866","url":null,"abstract":"NCL (Nested Context Language) is a notation for hypermedia application authoring, designed to facilitate the modeling and authoring of Digital TV applications for authors with different levels of programming knowledge. However, the ease of use of NCL is questionable due to XML notation and has been the subject of study of several works that analyze its usability while proposing other solutions. This work presents sNCL (simpler NCL), a declarative domain specific language, projected using guidelines established by the CDN (Cognitive Dimensions of Notation) framework applied to NCL. To validate the proposal, an experiment with a questionnaire on the success factors in NCL and sNCL is applied to users with experience in authoring with NCL, comparing their opinions on both languages. The experiment demonstrates that sNCL gains in usability, which can improve, therefore, the performance of authors in the development of applications.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650873","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}
Renan Soares, Rostand E. O. Costa, Manuella Aschoff, T. Araújo
Deaf people communicate naturally through visual-gesture languages, called sign languages (LS). As a result, they have a great deal of difficulty absorbing oral content, either in written or spoken form, even in the oral language (LO) of their native country. In addition, if it is already difficult to a deaf to access information in the oral language of your country, obstacles to accessing information in foreign languages become almost insurmountable, reducing the level of access to information. Among the approaches to the problem, one of the most promising ones involves the use of automatic translators to translate written or spoken content into sign language through an avatar. However, the vast majority of these machine translation platforms are focused on translating a single oral language into a single associated sign language. In order to expand the range of oral languages that Brazilian deaf people could have access to, this article investigates the use of "text-to-text" machine translation mechanisms before the "text-to-gloss" machine translation. The idea is to evaluate the offer of a service for automatic translation of digital content (text, audio or video, for example) in any oral language for the Brazilian Language of Signals (LIBRAS). As a way of validating the proposal a prototype based on the Suite VLibras was constructed. A series of computational and user evaluations were carried out to verify if the proposed flow of chained translations allows the suitable understanding of the content in foreign languages.
{"title":"AnyLanguage-To-LIBRAS: Evaluation of an Machine Translation Service of Any Oralized Language for the Brazilian Sign Language","authors":"Renan Soares, Rostand E. O. Costa, Manuella Aschoff, T. Araújo","doi":"10.1145/3126858.3126871","DOIUrl":"https://doi.org/10.1145/3126858.3126871","url":null,"abstract":"Deaf people communicate naturally through visual-gesture languages, called sign languages (LS). As a result, they have a great deal of difficulty absorbing oral content, either in written or spoken form, even in the oral language (LO) of their native country. In addition, if it is already difficult to a deaf to access information in the oral language of your country, obstacles to accessing information in foreign languages become almost insurmountable, reducing the level of access to information. Among the approaches to the problem, one of the most promising ones involves the use of automatic translators to translate written or spoken content into sign language through an avatar. However, the vast majority of these machine translation platforms are focused on translating a single oral language into a single associated sign language. In order to expand the range of oral languages that Brazilian deaf people could have access to, this article investigates the use of \"text-to-text\" machine translation mechanisms before the \"text-to-gloss\" machine translation. The idea is to evaluate the offer of a service for automatic translation of digital content (text, audio or video, for example) in any oral language for the Brazilian Language of Signals (LIBRAS). As a way of validating the proposal a prototype based on the Suite VLibras was constructed. A series of computational and user evaluations were carried out to verify if the proposed flow of chained translations allows the suitable understanding of the content in foreign languages.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114485555","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}
Daniel C. Andrade, D. G. Costa, João B. Rocha-Junior
Wireless sensor networks are an important part of smart cities, but there are still many challenging issues, demanding optimizations in those networks for higher efficiency. Events of interest may be identified analyzing data posted in social media, and such events may be used to assign priority levels to sensor nodes. This paper proposes an automatic mechanism to update sensors' priorities based on events mined and identified in social medias, which may be then optimized for higher monitoring efficiency.
{"title":"Adaptive Sensing Relevance Exploiting Social Media Mining in Smart Cities","authors":"Daniel C. Andrade, D. G. Costa, João B. Rocha-Junior","doi":"10.1145/3126858.3131568","DOIUrl":"https://doi.org/10.1145/3126858.3131568","url":null,"abstract":"Wireless sensor networks are an important part of smart cities, but there are still many challenging issues, demanding optimizations in those networks for higher efficiency. Events of interest may be identified analyzing data posted in social media, and such events may be used to assign priority levels to sensor nodes. This paper proposes an automatic mechanism to update sensors' priorities based on events mined and identified in social medias, which may be then optimized for higher monitoring efficiency.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114490718","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. Silva, Diego Carvalho, A. Pereira, Fernando Mourão, L. Rocha
Recommender Systems (RSs) have assumed a prominent role in e-commerce domains, affecting decisively distinct business phases, such as convert new users into customers. The total absence of information about new users is one of the main challenges in this area, and it is known in the literature as Ramp-up Problem. In this scenario, non-personalized strategy are chosen for simplicity, domain independence and effectiveness. State-of-the-art strategies assume that popular items are more likely to represent useful recommendations when the user profile is not known. In contrast, other strategies consider that diversifying recommendations represents potential chances of attracting new users. This work performs an extensive characterization of this problem, in order to contrast the main existing techniques. Our analyses point to a trade-off of popularity and diversity, suggesting that these two dimensions are essential to the Ramp-up problem. However, the main e-commerce systems insist on presenting only strategies that consider accuracy, prioritizing popularity over diversity. The results show that, indeed, both dimensions are relevant to this important scenario in e-commerce.
{"title":"Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains","authors":"N. Silva, Diego Carvalho, A. Pereira, Fernando Mourão, L. Rocha","doi":"10.1145/3126858.3126878","DOIUrl":"https://doi.org/10.1145/3126858.3126878","url":null,"abstract":"Recommender Systems (RSs) have assumed a prominent role in e-commerce domains, affecting decisively distinct business phases, such as convert new users into customers. The total absence of information about new users is one of the main challenges in this area, and it is known in the literature as Ramp-up Problem. In this scenario, non-personalized strategy are chosen for simplicity, domain independence and effectiveness. State-of-the-art strategies assume that popular items are more likely to represent useful recommendations when the user profile is not known. In contrast, other strategies consider that diversifying recommendations represents potential chances of attracting new users. This work performs an extensive characterization of this problem, in order to contrast the main existing techniques. Our analyses point to a trade-off of popularity and diversity, suggesting that these two dimensions are essential to the Ramp-up problem. However, the main e-commerce systems insist on presenting only strategies that consider accuracy, prioritizing popularity over diversity. The results show that, indeed, both dimensions are relevant to this important scenario in e-commerce.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130593208","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}
R. G. Rodrigues, Rodrigo Reis Gomes, Kaio Tavares Rodrigues, G. Guedes
This work aims at creating a tool for analyzing the psychological and linguistic changes of texts translated from English into Brazilian Portuguese. The aim is to analyze differences between texts translated by automatic translators and human translators. For this purpose, a tool named LIWC is used in its Brazilian Portuguese version. LIWC is a tool that distributes lexical words in categories with linguistic and psychological characteristics. Through accounting the word categories, this work seeks to evaluate the percentage of psycholinguistic changes in automatically translated documents in comparison with a reliable translation performed by a human expert. In this way, this study aims to contribute to the improvement of the process of automatic translation of documents. Experimental results indicate promising directions for further research.
{"title":"TATMaster: Psycholinguistic Divergences in Automatically Translated Texts","authors":"R. G. Rodrigues, Rodrigo Reis Gomes, Kaio Tavares Rodrigues, G. Guedes","doi":"10.1145/3126858.3131601","DOIUrl":"https://doi.org/10.1145/3126858.3131601","url":null,"abstract":"This work aims at creating a tool for analyzing the psychological and linguistic changes of texts translated from English into Brazilian Portuguese. The aim is to analyze differences between texts translated by automatic translators and human translators. For this purpose, a tool named LIWC is used in its Brazilian Portuguese version. LIWC is a tool that distributes lexical words in categories with linguistic and psychological characteristics. Through accounting the word categories, this work seeks to evaluate the percentage of psycholinguistic changes in automatically translated documents in comparison with a reliable translation performed by a human expert. In this way, this study aims to contribute to the improvement of the process of automatic translation of documents. Experimental results indicate promising directions for further research.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116296312","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}
Wesllen Sousa, E. Souto, Jonatas Rodrigres, Pedro Sadarc, Roozbeh Jalali, K. El-Khatib
The recognition of users' physical activities through data analysis of smartphone inertial sensors has aided the development of several solutions in different domains such as transportation and healthcare. Mostly of these solutions have been supported by the cloud communication technologies due to the need of using accurate classification models. In an attempt to solve problems related to the smartphone orientation (e.g. landscape) in the user's body, new types of features classified as orientation independent have arisen in the last years. In this context, this paper presents an extensive comparative study between all the features mapped in literature derived from inertial sensors. A number of experiments were carried out using two databases containing data from 30 users. Results showed that the new orientation independent features proposed in literature cannot discriminate properly between the users' activities using the inertial sensors. In addition, this paper provides an extensive analysis of these type of features and a tool that implements all methodological process of human activity recognition based on smartphones.
{"title":"A Comparative Analysis of the Impact of Features on Human Activity Recognition with Smartphone Sensors","authors":"Wesllen Sousa, E. Souto, Jonatas Rodrigres, Pedro Sadarc, Roozbeh Jalali, K. El-Khatib","doi":"10.1145/3126858.3126859","DOIUrl":"https://doi.org/10.1145/3126858.3126859","url":null,"abstract":"The recognition of users' physical activities through data analysis of smartphone inertial sensors has aided the development of several solutions in different domains such as transportation and healthcare. Mostly of these solutions have been supported by the cloud communication technologies due to the need of using accurate classification models. In an attempt to solve problems related to the smartphone orientation (e.g. landscape) in the user's body, new types of features classified as orientation independent have arisen in the last years. In this context, this paper presents an extensive comparative study between all the features mapped in literature derived from inertial sensors. A number of experiments were carried out using two databases containing data from 30 users. Results showed that the new orientation independent features proposed in literature cannot discriminate properly between the users' activities using the inertial sensors. In addition, this paper provides an extensive analysis of these type of features and a tool that implements all methodological process of human activity recognition based on smartphones.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126534899","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}
D. Silva, Antonio A. Rocha, P. B. Velloso, Guilherme de Melo Baptista Domingues
Video streaming is one of the greatest application on the Internet, and mobile devices became more powerful and popular every passing day. Understanding live-streaming-mobile-user behavior is imperative to map issues, to then seek solutions. The purpose of this work is to characterized mobile users watching popular live events, such as Dilma's Impeachment and Opening of Rio2016 Games.
{"title":"A First Look at Mobile-Live-Users of a Large CDN","authors":"D. Silva, Antonio A. Rocha, P. B. Velloso, Guilherme de Melo Baptista Domingues","doi":"10.1145/3126858.3131565","DOIUrl":"https://doi.org/10.1145/3126858.3131565","url":null,"abstract":"Video streaming is one of the greatest application on the Internet, and mobile devices became more powerful and popular every passing day. Understanding live-streaming-mobile-user behavior is imperative to map issues, to then seek solutions. The purpose of this work is to characterized mobile users watching popular live events, such as Dilma's Impeachment and Opening of Rio2016 Games.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125211797","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 Internet of Things (IoT) emerged with the objective to integrate physical objects into classical computer networks. These objects usually generate larges amount of data, transferring the bottleneck of data processing from sensors to communication systems. For example, analyzing IoT data often demands data centralization before running a mining algorithm. Thus, in order to reduce the data transference commonly required by the data clustering task, this paper proposes a grid-based data summarization approach. The proposed approach uses a single uniform grid to partition the space into cells and to summarize data before centralization. Summarization ensures the reduction of the amounts of data transferred. This approach also includes a data clustering algorithm that deals with the summarized and centralized data. Our preliminary experiments revealed good results in terms of data compression and quality of clustering with a two-dimensional benchmark dataset.
{"title":"Distributed Data Clustering in the Context of the Internet of Things: A Data Traffic Reduction Approach","authors":"R. Brandão, R. Goldschmidt","doi":"10.1145/3126858.3131579","DOIUrl":"https://doi.org/10.1145/3126858.3131579","url":null,"abstract":"The Internet of Things (IoT) emerged with the objective to integrate physical objects into classical computer networks. These objects usually generate larges amount of data, transferring the bottleneck of data processing from sensors to communication systems. For example, analyzing IoT data often demands data centralization before running a mining algorithm. Thus, in order to reduce the data transference commonly required by the data clustering task, this paper proposes a grid-based data summarization approach. The proposed approach uses a single uniform grid to partition the space into cells and to summarize data before centralization. Summarization ensures the reduction of the amounts of data transferred. This approach also includes a data clustering algorithm that deals with the summarized and centralized data. Our preliminary experiments revealed good results in terms of data compression and quality of clustering with a two-dimensional benchmark dataset.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114463819","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}
Guilherme Lima, R. Azevedo, S. Colcher, E. Haeusler
In this paper, we present the conversion of NCL to Smix and discuss its main implications. NCL is a declarative language for the specification of interactive multimedia presentations which was adopted by the ITU-T H.761 recommendation for interoperable IPTV services. Smix is a synchronous domain-specific language with a similar purpose, but with a simpler and more precise semantics. By implementing NCL over Smix, we bring to the former the notions of reaction and execution instants, and with them some benefits. From a practical perspective, we fix the semantics of the converted documents, get a leaner NCL player (the Smix interpreter), and simplify further conversions. From a systems-design perspective, the structured conversion of NCL to Smix helps us tame the complexity of mapping the user-oriented constructs of NCL into the machine-oriented primitives that realize them as a multimedia presentation. In the paper, we present NCL and Smix, discuss related work on document conversion, and detail the conversion process and a prototype implementation.
{"title":"Converting NCL Documents to Smix and Fixing Their Semantics and Interpretation in the Process","authors":"Guilherme Lima, R. Azevedo, S. Colcher, E. Haeusler","doi":"10.1145/3126858.3126876","DOIUrl":"https://doi.org/10.1145/3126858.3126876","url":null,"abstract":"In this paper, we present the conversion of NCL to Smix and discuss its main implications. NCL is a declarative language for the specification of interactive multimedia presentations which was adopted by the ITU-T H.761 recommendation for interoperable IPTV services. Smix is a synchronous domain-specific language with a similar purpose, but with a simpler and more precise semantics. By implementing NCL over Smix, we bring to the former the notions of reaction and execution instants, and with them some benefits. From a practical perspective, we fix the semantics of the converted documents, get a leaner NCL player (the Smix interpreter), and simplify further conversions. From a systems-design perspective, the structured conversion of NCL to Smix helps us tame the complexity of mapping the user-oriented constructs of NCL into the machine-oriented primitives that realize them as a multimedia presentation. In the paper, we present NCL and Smix, discuss related work on document conversion, and detail the conversion process and a prototype implementation.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114952396","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}
Mobile app reviews are important as a crowdsource to improve the quality of these softwares. App stores, which have app reviews, provide a wealth of information derived from users. These information help developers to fix bugs and implement new features desired by users. Despite the reviews usefulness, one of the challenges of application developers is the huge number of reviews published daily, making manual analysis laborious. Hence, the delay in satisfying users may influence the loss of customers. Current researches into this topic have adopted a supervised approach to classify the reviews of the users. In this paper, we used an unsupervised approach to categorize the reviews aiming to generate a summary of the main bugs and new features pointed by users, assisting the application developers to improve the quality their apps. We evaluated the approach empirically and obtained promising results to generate user reviews summaries.
{"title":"Exploring Unsupervised Learning Towards Extractive Summarization of User Reviews","authors":"Rafael Torres Anchiêta, R. Moura","doi":"10.1145/3126858.3131583","DOIUrl":"https://doi.org/10.1145/3126858.3131583","url":null,"abstract":"Mobile app reviews are important as a crowdsource to improve the quality of these softwares. App stores, which have app reviews, provide a wealth of information derived from users. These information help developers to fix bugs and implement new features desired by users. Despite the reviews usefulness, one of the challenges of application developers is the huge number of reviews published daily, making manual analysis laborious. Hence, the delay in satisfying users may influence the loss of customers. Current researches into this topic have adopted a supervised approach to classify the reviews of the users. In this paper, we used an unsupervised approach to categorize the reviews aiming to generate a summary of the main bugs and new features pointed by users, assisting the application developers to improve the quality their apps. We evaluated the approach empirically and obtained promising results to generate user reviews summaries.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129866036","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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