Pub Date : 2016-08-31DOI: 10.1109/IIAI-AAI.2016.231
Jingyun Wang, H. Ho, Y. Ono
This paper propose to develop and evaluate a learning support system which can provide personalized feedbacks for helping learners to improve their learning ability. To support the analysis of learners' cognitive processes during learning activities, this system will collect not only their learning logs and questionnaires' responses, but also their visual biometric data (eye-movement data). Eye-tracking systems with not only eye safety advance but also precision advance will be used in this research. By analyzing all the collected data, the system will identify learners' characteristics and provide real-time feedbacks in response to their characteristics.
{"title":"Enhancing Personalized Feedback System by Visual Biometric Data Analysis","authors":"Jingyun Wang, H. Ho, Y. Ono","doi":"10.1109/IIAI-AAI.2016.231","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.231","url":null,"abstract":"This paper propose to develop and evaluate a learning support system which can provide personalized feedbacks for helping learners to improve their learning ability. To support the analysis of learners' cognitive processes during learning activities, this system will collect not only their learning logs and questionnaires' responses, but also their visual biometric data (eye-movement data). Eye-tracking systems with not only eye safety advance but also precision advance will be used in this research. By analyzing all the collected data, the system will identify learners' characteristics and provide real-time feedbacks in response to their characteristics.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129669946","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.109
Yuko Hayashi, H. Yanagimoto
We proposed a title generation method with a recurrent neural network using concepts of machine translation. The title generator consists of an encoder and a decoder and they are constructed with Long Short Term Memory, which is one of the recurrent neural networks. We construct a distributed representation of an article in the encoder and the decoder generates a title without extraction of an article. In some evaluational experiments we confirmed that our proposed method could generate appropriate titles from articles but in some articles the method generate random titles.
{"title":"Title Generation with Recurrent Neural Network","authors":"Yuko Hayashi, H. Yanagimoto","doi":"10.1109/IIAI-AAI.2016.109","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.109","url":null,"abstract":"We proposed a title generation method with a recurrent neural network using concepts of machine translation. The title generator consists of an encoder and a decoder and they are constructed with Long Short Term Memory, which is one of the recurrent neural networks. We construct a distributed representation of an article in the encoder and the decoder generates a title without extraction of an article. In some evaluational experiments we confirmed that our proposed method could generate appropriate titles from articles but in some articles the method generate random titles.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123041643","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.157
Ko Ichinose, Kazutaka Shimada
The market analysis is one of the important tasks for text mining. Many researchers have proposed methods using text information for analyzing the market. In this situation, news on the Web has an important role to predict stock prices. In this paper, we propose a method to predict the Nikkei Stock Average, which is one of the most important stock market indexes. We also focus on the evaluation of the prediction. In general, the results are evaluated by some criteria such as recall and precision rates. However, the most important point in the stock market prediction task is not always the accuracy of classifiers. We demonstrate the effectiveness of our method with simulated trading on a real stock market. We compare some strategies for the trading, and then discuss relations between the accuracy of classifiers and profit-and-loss. For the purpose, we introduce a criterion computed from the property change graph in each demo-trading. We call it CPC (Criterion based on Property Changes). By using the criterion CPC, we can easily understand the effectiveness of one-day classifiers in terms of the real trading situation.
{"title":"Stock Market Prediction from News on the Web and a New Evaluation Approach in Trading","authors":"Ko Ichinose, Kazutaka Shimada","doi":"10.1109/IIAI-AAI.2016.157","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.157","url":null,"abstract":"The market analysis is one of the important tasks for text mining. Many researchers have proposed methods using text information for analyzing the market. In this situation, news on the Web has an important role to predict stock prices. In this paper, we propose a method to predict the Nikkei Stock Average, which is one of the most important stock market indexes. We also focus on the evaluation of the prediction. In general, the results are evaluated by some criteria such as recall and precision rates. However, the most important point in the stock market prediction task is not always the accuracy of classifiers. We demonstrate the effectiveness of our method with simulated trading on a real stock market. We compare some strategies for the trading, and then discuss relations between the accuracy of classifiers and profit-and-loss. For the purpose, we introduce a criterion computed from the property change graph in each demo-trading. We call it CPC (Criterion based on Property Changes). By using the criterion CPC, we can easily understand the effectiveness of one-day classifiers in terms of the real trading situation.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127178550","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.158
Hsiu‐Ting Hung, H. Yeh, Chuan-Wen Chiang
The present study aims to investigate whether and how keeping vocabulary notebooks in digital forms influence students' vocabulary learning practices, performance, and perceptions. Of particular interest to this study is the use of learner-constructed vocabulary notebooks to engage students in the process of intentional vocabulary learning, and ultimately, to enhance their vocabulary acquisition. A Computer Assisted Vocabulary Learning (CAVL) system was developed in this study to assist learners of English as a foreign language. The usage of the CAVL system involved three major steps (i.e., Select, Organize, and Integrate), which engaged learners in watching online videos to intentionally study target words, through the construction of personal vocabulary notebooks. The effectiveness of this system, in combination with the intentional vocabulary learning strategy, was evaluated through a quasi-experimental study with two groups of students from a university in Taiwan. The students' use of vocabulary notebooks, scores of vocabulary tests, individual interviews, and responses to a perception survey were closely analyzed, and the results showed the overall positive impact of the investigated strategy on vocabulary learning. The practical implications of this study are thus discussed to promote the use of digital vocabulary notebooks as an intentional learning strategy in vocabulary instruction.
{"title":"Computer Assisted Vocabulary Learning: Examining English Language Learners' Vocabulary Notebooks","authors":"Hsiu‐Ting Hung, H. Yeh, Chuan-Wen Chiang","doi":"10.1109/IIAI-AAI.2016.158","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.158","url":null,"abstract":"The present study aims to investigate whether and how keeping vocabulary notebooks in digital forms influence students' vocabulary learning practices, performance, and perceptions. Of particular interest to this study is the use of learner-constructed vocabulary notebooks to engage students in the process of intentional vocabulary learning, and ultimately, to enhance their vocabulary acquisition. A Computer Assisted Vocabulary Learning (CAVL) system was developed in this study to assist learners of English as a foreign language. The usage of the CAVL system involved three major steps (i.e., Select, Organize, and Integrate), which engaged learners in watching online videos to intentionally study target words, through the construction of personal vocabulary notebooks. The effectiveness of this system, in combination with the intentional vocabulary learning strategy, was evaluated through a quasi-experimental study with two groups of students from a university in Taiwan. The students' use of vocabulary notebooks, scores of vocabulary tests, individual interviews, and responses to a perception survey were closely analyzed, and the results showed the overall positive impact of the investigated strategy on vocabulary learning. The practical implications of this study are thus discussed to promote the use of digital vocabulary notebooks as an intentional learning strategy in vocabulary instruction.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125307280","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.51
Ray Wang
Purchasing behavior is a kind of consuming behavior caused by visual stimulation of and attraction to a consumer. In other words, consumers are visual creatures. Although existing literature has explored the influences of the senses and perception on purchasing behavior, there is very little literature deeply exploring the influence of the visual sense on dish preferences in the catering industry. This study adopted purposive sampling and importance-performance analysis. A total of 38 questionnaires were collected, and Excel 2013 was used to analyze the influences of consumers' visual preferences on their levels of love for a dish. The study results show proper color matching can effectively increase the purchase behavior of consumers. The important preference factors include color contrast, harmony, shape matching, and the space design between food and receptacle. The study results can be used as references for the operational practices of the catering industry, and as an academic basis for subsequent studies on food aesthetics by researchers and teachers.
{"title":"Eating with Eyes: Assessing the Importance of the Visual Perception of Consumers","authors":"Ray Wang","doi":"10.1109/IIAI-AAI.2016.51","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.51","url":null,"abstract":"Purchasing behavior is a kind of consuming behavior caused by visual stimulation of and attraction to a consumer. In other words, consumers are visual creatures. Although existing literature has explored the influences of the senses and perception on purchasing behavior, there is very little literature deeply exploring the influence of the visual sense on dish preferences in the catering industry. This study adopted purposive sampling and importance-performance analysis. A total of 38 questionnaires were collected, and Excel 2013 was used to analyze the influences of consumers' visual preferences on their levels of love for a dish. The study results show proper color matching can effectively increase the purchase behavior of consumers. The important preference factors include color contrast, harmony, shape matching, and the space design between food and receptacle. The study results can be used as references for the operational practices of the catering industry, and as an academic basis for subsequent studies on food aesthetics by researchers and teachers.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128324551","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.195
Nan Kyu Yang, Khin Thida San, Y. Chang
This paper describes the real time monitoring system (RTMS) for the UAV delivery system. In this case, a novel real time monitoring system is provided to support not only as the ground station to control the flight of UAVs but also the tracking of the delivery products regarding their current status and locations. RTMS can be classified into two main systems. The first system is RTMS-GCS for ground control system purpose. The second system is RTMS-onboard for UAV autonomous flight purpose.
{"title":"A Novel Approach for Real Time Monitoring System to Manage UAV Delivery","authors":"Nan Kyu Yang, Khin Thida San, Y. Chang","doi":"10.1109/IIAI-AAI.2016.195","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.195","url":null,"abstract":"This paper describes the real time monitoring system (RTMS) for the UAV delivery system. In this case, a novel real time monitoring system is provided to support not only as the ground station to control the flight of UAVs but also the tracking of the delivery products regarding their current status and locations. RTMS can be classified into two main systems. The first system is RTMS-GCS for ground control system purpose. The second system is RTMS-onboard for UAV autonomous flight purpose.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129048585","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.118
Tatsuya Ohbe, Tadachika Ozono, T. Shintani
It is important to analyze the reputation or demands for a local event, such as a school festival. The aim of this research is to develop a system that enables its users to collect and to analyze local event information from social media. In this paper, we have shown the over view and described the implementation of the proposed system. Our system extracts tweets by sentiment polarity classification and visualizes them. In this paper, we described the performance of the sentiment polarity classification and showed that the system is efficient for coordinating tweets. We collected tweets about a local event and classified them manually. The sentiment polarity classification of our system was evaluated by comparing it with the manually classified tweets. We also discussed an example of local event analysis using our system and showed the efficiency of our system.
{"title":"Developing a Sentiment Polarity Visualization System for Local Event Information Analysis","authors":"Tatsuya Ohbe, Tadachika Ozono, T. Shintani","doi":"10.1109/IIAI-AAI.2016.118","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.118","url":null,"abstract":"It is important to analyze the reputation or demands for a local event, such as a school festival. The aim of this research is to develop a system that enables its users to collect and to analyze local event information from social media. In this paper, we have shown the over view and described the implementation of the proposed system. Our system extracts tweets by sentiment polarity classification and visualizes them. In this paper, we described the performance of the sentiment polarity classification and showed that the system is efficient for coordinating tweets. We collected tweets about a local event and classified them manually. The sentiment polarity classification of our system was evaluated by comparing it with the manually classified tweets. We also discussed an example of local event analysis using our system and showed the efficiency of our system.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"507 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123392414","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.117
Pitambar Gautam
This study attempts a comparative disciplinary analysis of a Web of Science (WoS) recorded dataset (ca. 15,000 core journal articles and reviews) of real publications for 5-years period by the research departments, dedicated to science, technology, engineering, mathematics, and medicine (STEMM), of a comprehensive university using different disciplinary schemes: Essential Science Indicators (ESI) 22 research fields, SCOPUS 27 subject areas and OECD Frascati 38 subordinate research fields. It demonstrates that assigning the publications to departments and disciplines followed by correspondence analysis and clustering of the contingency table comprising disciplinary share of publications results in enhanced understanding and visualization of the research output at different levels of disciplinary or research entities. Such exercise improves creation of publication subsets (for different research entities and disciplinary schemes) for further processing, visualization and interpretation with sophisticated bibliometric/scientometric tools including the science mapping techniques.
{"title":"Comparative Analysis of Scientific Publications of Research Entities Using Multiple Disciplinary Classifications","authors":"Pitambar Gautam","doi":"10.1109/IIAI-AAI.2016.117","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.117","url":null,"abstract":"This study attempts a comparative disciplinary analysis of a Web of Science (WoS) recorded dataset (ca. 15,000 core journal articles and reviews) of real publications for 5-years period by the research departments, dedicated to science, technology, engineering, mathematics, and medicine (STEMM), of a comprehensive university using different disciplinary schemes: Essential Science Indicators (ESI) 22 research fields, SCOPUS 27 subject areas and OECD Frascati 38 subordinate research fields. It demonstrates that assigning the publications to departments and disciplines followed by correspondence analysis and clustering of the contingency table comprising disciplinary share of publications results in enhanced understanding and visualization of the research output at different levels of disciplinary or research entities. Such exercise improves creation of publication subsets (for different research entities and disciplinary schemes) for further processing, visualization and interpretation with sophisticated bibliometric/scientometric tools including the science mapping techniques.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126235274","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.47
H. Hirose
Due to the shrinkage of high school students and growth of the number of acceptance to universities in Japan, almost all the high school students are to be enrolled to universities, which causes various educational difficulties in universities. Taking care of students who were taught insufficiently in high schools and junior high schools is one of them. The follow-up program is aimed at helping students who need basic learning and aimed at assisting teachers who have to engage in teaching a variety of students. The follow-up systems are recognized as a part of the follow-up program, and consist of the learning check testing, follow-up program testing, and collaborative work testing. They are connected to the portfolio system which manages students' scores and behaviors. We have developed the follow-up systems using online testing systems. In the systems, many persons playing roles are involved, such as teachers, students, peer supporters, and item contributors. We adopted the item response theory to evaluate students' learning skills accurately. The systems are now successfully working.
{"title":"Meticulous Learning Follow-Up Systems for Undergraduate Students Using the Online Item Response Theory","authors":"H. Hirose","doi":"10.1109/IIAI-AAI.2016.47","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.47","url":null,"abstract":"Due to the shrinkage of high school students and growth of the number of acceptance to universities in Japan, almost all the high school students are to be enrolled to universities, which causes various educational difficulties in universities. Taking care of students who were taught insufficiently in high schools and junior high schools is one of them. The follow-up program is aimed at helping students who need basic learning and aimed at assisting teachers who have to engage in teaching a variety of students. The follow-up systems are recognized as a part of the follow-up program, and consist of the learning check testing, follow-up program testing, and collaborative work testing. They are connected to the portfolio system which manages students' scores and behaviors. We have developed the follow-up systems using online testing systems. In the systems, many persons playing roles are involved, such as teachers, students, peer supporters, and item contributors. We adopted the item response theory to evaluate students' learning skills accurately. The systems are now successfully working.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115193298","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.151
Tatsuo Matsuura, Tadachika Ozono, T. Shintani
In this study, we developed a system that records the PC user's past work and enables the user to resume a previous task. Previously, we used screenshots to record work processes. However, this method demands a huge storage capacity. Therefore, in the proposed system, duplicate screenshots are deleted through similar-image determination. In addition, screenshots are transformed into a compressed moving image by introducing the H.264 video coding standard. Moreover, we integrate a backup system into our system to help users reach files based on their queries. The information on the user's past work is organized in Research Episode Networks, which are graphs representing relationships among events, tasks, and files. Research Episode Networks make it easier for users to search for target files.
{"title":"An Akashic Desktop Recorder for Resumption of Works","authors":"Tatsuo Matsuura, Tadachika Ozono, T. Shintani","doi":"10.1109/IIAI-AAI.2016.151","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.151","url":null,"abstract":"In this study, we developed a system that records the PC user's past work and enables the user to resume a previous task. Previously, we used screenshots to record work processes. However, this method demands a huge storage capacity. Therefore, in the proposed system, duplicate screenshots are deleted through similar-image determination. In addition, screenshots are transformed into a compressed moving image by introducing the H.264 video coding standard. Moreover, we integrate a backup system into our system to help users reach files based on their queries. The information on the user's past work is organized in Research Episode Networks, which are graphs representing relationships among events, tasks, and files. Research Episode Networks make it easier for users to search for target files.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128546941","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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