Pub Date : 2014-10-01DOI: 10.1504/IJKWI.2014.065064
T. Kojiri, Shuto Ohata, Yuki Hayashi
The collaborative learning remarks that were triggers of the past active discussion, which is called discussion promotion remark, can also be effective in the current discussion situation whose speech patterns are similar. The objective of this research is to construct the advising system for the collaborative learning which utilises discussion promotion remarks of the past collaborative learning as advice to solve current inappropriate situation. Discussion consists of various characteristics, so it is difficult to define appropriate speech pattern for each type of discussion promotion remark. This research introduces case-based reasoning approach to extract past discussion promotion remark which can solve current inappropriate situation. This paper describes two of the steps to accomplish the case-based reasoning system. First, several parameters that characterise the discussion situation are introduced and attached to past discussion promotion remarks. Second, discussion promotion remark database is constructed as a decision tree based on the attached parameters.
{"title":"Case-based reasoning approach for utilisation of past remarks as advice for collaborative learning","authors":"T. Kojiri, Shuto Ohata, Yuki Hayashi","doi":"10.1504/IJKWI.2014.065064","DOIUrl":"https://doi.org/10.1504/IJKWI.2014.065064","url":null,"abstract":"The collaborative learning remarks that were triggers of the past active discussion, which is called discussion promotion remark, can also be effective in the current discussion situation whose speech patterns are similar. The objective of this research is to construct the advising system for the collaborative learning which utilises discussion promotion remarks of the past collaborative learning as advice to solve current inappropriate situation. Discussion consists of various characteristics, so it is difficult to define appropriate speech pattern for each type of discussion promotion remark. This research introduces case-based reasoning approach to extract past discussion promotion remark which can solve current inappropriate situation. This paper describes two of the steps to accomplish the case-based reasoning system. First, several parameters that characterise the discussion situation are introduced and attached to past discussion promotion remarks. Second, discussion promotion remark database is constructed as a decision tree based on the attached parameters.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116899952","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 : 2014-10-01DOI: 10.1504/IJKWI.2014.065062
Xinlian Li, Toyohide Watanabe
Automating the process of paper-to-reviewer assignment is a difficult task to be adequately resolved. Many papers concerning the related topics have been published, but there is still scare of systematic research applications. In most real world conference management, the assignment task is carried out manually by the programme committee, lacking of intelligent assigning rules and efficient matching method. The manual assignment is not only of low efficiency but also does not guarantee to result in the best solution. Given such situation, our paper sets out to analyse the problem of reviewer selection and propose a method for automatically matching papers with reviewers. Our objective is to reduce the loads of both programme committee and reviewers and make the conference-paper assignment task effectual. In this paper, we address this issue of paper-to-reviewer assignment and propose a method to model reviewers, based on the matching degree between reviewers and papers by combining preference-based approach and topic-based approach. We explain the assignment algorithm and show the evaluation results in comparison with Hungarian algorithm.
{"title":"Paper-to-reviewer assignment, based on expertise degree of reviewers and relevance degree between reviewers and papers","authors":"Xinlian Li, Toyohide Watanabe","doi":"10.1504/IJKWI.2014.065062","DOIUrl":"https://doi.org/10.1504/IJKWI.2014.065062","url":null,"abstract":"Automating the process of paper-to-reviewer assignment is a difficult task to be adequately resolved. Many papers concerning the related topics have been published, but there is still scare of systematic research applications. In most real world conference management, the assignment task is carried out manually by the programme committee, lacking of intelligent assigning rules and efficient matching method. The manual assignment is not only of low efficiency but also does not guarantee to result in the best solution. Given such situation, our paper sets out to analyse the problem of reviewer selection and propose a method for automatically matching papers with reviewers. Our objective is to reduce the loads of both programme committee and reviewers and make the conference-paper assignment task effectual. In this paper, we address this issue of paper-to-reviewer assignment and propose a method to model reviewers, based on the matching degree between reviewers and papers by combining preference-based approach and topic-based approach. We explain the assignment algorithm and show the evaluation results in comparison with Hungarian algorithm.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116101306","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 : 2014-10-01DOI: 10.1504/IJKWI.2014.065063
Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, S. Hirokawa
In order to overcome mistakes, learners need feedback to prompt reflection on their errors. This is a particularly important issue in education systems as the system effectiveness in finding errors or mistakes could have an impact on learning. Finding errors is essential to providing appropriate guidance in order for learners to overcome their flaws. Traditionally the task of finding errors in writing takes time and effort. The authors of this paper have a long-term research goal of creating tools for learners, especially autonomous learners, to enable them to be more aware of their errors and provide a way to reflect on the errors. As a part of this research, we propose the use of a classifier to automatically analyse and determine the errors in foreign language writing. For the experiment in this paper, we collected random sentences from the Lang-8 website that had been written by foreign language learners. Using predefined error categories, we manually classified the sentences to use as machine learning training data. This was then used to train a classifier by applying SVM machine learning to the training data. As the manual classification of training data takes time, it is intended that the classifier would be used to accelerate the process used for generating further training data.
{"title":"Classification of English language learner writing errors using a parallel corpus with SVM","authors":"Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, S. Hirokawa","doi":"10.1504/IJKWI.2014.065063","DOIUrl":"https://doi.org/10.1504/IJKWI.2014.065063","url":null,"abstract":"In order to overcome mistakes, learners need feedback to prompt reflection on their errors. This is a particularly important issue in education systems as the system effectiveness in finding errors or mistakes could have an impact on learning. Finding errors is essential to providing appropriate guidance in order for learners to overcome their flaws. Traditionally the task of finding errors in writing takes time and effort. The authors of this paper have a long-term research goal of creating tools for learners, especially autonomous learners, to enable them to be more aware of their errors and provide a way to reflect on the errors. As a part of this research, we propose the use of a classifier to automatically analyse and determine the errors in foreign language writing. For the experiment in this paper, we collected random sentences from the Lang-8 website that had been written by foreign language learners. Using predefined error categories, we manually classified the sentences to use as machine learning training data. This was then used to train a classifier by applying SVM machine learning to the training data. As the manual classification of training data takes time, it is intended that the classifier would be used to accelerate the process used for generating further training data.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127413706","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 : 2013-09-01DOI: 10.1504/IJKWI.2013.056372
Kenji Matsuura, Hiroki Moriguchi, K. Kanenishi
This study proposes a system to support self-controlled motor-skill development in a web-community environment. We discuss the difficulties involved in sustaining self-controlled training without systematic supports. The system proposed provides a function to suggest an appropriate range of target goals based on data from previous training sessions. A prototype system has been designed and developed. This study reports a case study based on a trial use of the system. The results suggest that our approach contributes to each user's ability to achieve target goals.
{"title":"Supporting self-control of individual training for motor-skill development with a social web environment","authors":"Kenji Matsuura, Hiroki Moriguchi, K. Kanenishi","doi":"10.1504/IJKWI.2013.056372","DOIUrl":"https://doi.org/10.1504/IJKWI.2013.056372","url":null,"abstract":"This study proposes a system to support self-controlled motor-skill development in a web-community environment. We discuss the difficulties involved in sustaining self-controlled training without systematic supports. The system proposed provides a function to suggest an appropriate range of target goals based on data from previous training sessions. A prototype system has been designed and developed. This study reports a case study based on a trial use of the system. The results suggest that our approach contributes to each user's ability to achieve target goals.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875226","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 : 2013-09-01DOI: 10.1504/IJKWI.2013.056366
S. Shaila, A. Vadivel
Suitable architecture specification of a deep web crawler with surface web crawler as well as indexer is proposed for fetching large number of documents from deep web using rules. The functional dependency of core and allied fields in the FORM are identified for generating rules using SVM classifier and classifies them as most preferable, least preferable and mutually exclusive. The FORMs are filled with values from most preferable class for fetching large number of documents. The extracted document is indexed for information retrieval applications. The architecture is extended to distributed crawler using web services. The proposed crawler fetches large number of documents while using the values in most preferable class. This architecture has higher coverage rate and reduces fetching time. The retrieval performance is encouraging and achieves similar precision of retrieval as Google search engine system.
{"title":"Architecture specification of rule-based deep web crawler with indexer","authors":"S. Shaila, A. Vadivel","doi":"10.1504/IJKWI.2013.056366","DOIUrl":"https://doi.org/10.1504/IJKWI.2013.056366","url":null,"abstract":"Suitable architecture specification of a deep web crawler with surface web crawler as well as indexer is proposed for fetching large number of documents from deep web using rules. The functional dependency of core and allied fields in the FORM are identified for generating rules using SVM classifier and classifies them as most preferable, least preferable and mutually exclusive. The FORMs are filled with values from most preferable class for fetching large number of documents. The extracted document is indexed for information retrieval applications. The architecture is extended to distributed crawler using web services. The proposed crawler fetches large number of documents while using the values in most preferable class. This architecture has higher coverage rate and reduces fetching time. The retrieval performance is encouraging and achieves similar precision of retrieval as Google search engine system.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114318266","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 : 2013-09-01DOI: 10.1504/IJKWI.2013.056362
V. S. Dixit, Punam Bedi, Harita Mehta
The knowledge base of a traditional web recommender system is constructed from web logs, reflecting past user preferences which may change over time. In this paper, an algorithm, based on implicit user feedback on top N recommendations and normalised mutual information, is proposed for collaborative personalised web recommender system. The proposed algorithm updates the knowledge base taking into account the changing user preferences, in order to generate better recommendations in future. The proposed approach and collaborative personalised web recommender systems without feedback are compared. Significant improvements are observed in precision, recall and F1 measure for proposed approach.
{"title":"Generation of web recommendations using implicit user feedback and normalised mutual information","authors":"V. S. Dixit, Punam Bedi, Harita Mehta","doi":"10.1504/IJKWI.2013.056362","DOIUrl":"https://doi.org/10.1504/IJKWI.2013.056362","url":null,"abstract":"The knowledge base of a traditional web recommender system is constructed from web logs, reflecting past user preferences which may change over time. In this paper, an algorithm, based on implicit user feedback on top N recommendations and normalised mutual information, is proposed for collaborative personalised web recommender system. The proposed algorithm updates the knowledge base taking into account the changing user preferences, in order to generate better recommendations in future. The proposed approach and collaborative personalised web recommender systems without feedback are compared. Significant improvements are observed in precision, recall and F1 measure for proposed approach.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114522399","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 : 2013-09-01DOI: 10.1504/IJKWI.2013.056373
Kazuhisa Seta, Liang Cui, M. Ikeda, Noriyuki Matsuda, M. Okamoto
We think that to acquire a skill for co-creating knowledge with others cooperatively, it is important to develop meta-cognitive skill, but to do so is not straightforward. In this paper, we attempt to design a thinking skill particularly meta-cognitive skill development curriculum for first-year bachelor-degree students on the basis of the results obtained in two preceding studies that we have performed for postgraduate education and those engaged in medical services. To deal effectively with new learning for first-year bachelor students - 'thinking about thinking' - we designed a curriculum that gives students a knowledge co-creation programme and thinking externalisation tool to devote attention to the thinking process and to have the bodily sensation of its meaning, and we put it into practice. This paper describes a learning model for thinking skill, which is fundamental to appropriate curriculum design, and discusses the design intention of a curriculum conforming to it and the usefulness of the learning programme through examples of using the thinking externalisation tool in practice. Results show that the learning programme developed in this study is useful for cultivating the meta-cognitive skill of bachelor students.
{"title":"Meta-cognitive skill training programme for first-year bachelor students using thinking process externalisation environment","authors":"Kazuhisa Seta, Liang Cui, M. Ikeda, Noriyuki Matsuda, M. Okamoto","doi":"10.1504/IJKWI.2013.056373","DOIUrl":"https://doi.org/10.1504/IJKWI.2013.056373","url":null,"abstract":"We think that to acquire a skill for co-creating knowledge with others cooperatively, it is important to develop meta-cognitive skill, but to do so is not straightforward. In this paper, we attempt to design a thinking skill particularly meta-cognitive skill development curriculum for first-year bachelor-degree students on the basis of the results obtained in two preceding studies that we have performed for postgraduate education and those engaged in medical services. To deal effectively with new learning for first-year bachelor students - 'thinking about thinking' - we designed a curriculum that gives students a knowledge co-creation programme and thinking externalisation tool to devote attention to the thinking process and to have the bodily sensation of its meaning, and we put it into practice. This paper describes a learning model for thinking skill, which is fundamental to appropriate curriculum design, and discusses the design intention of a curriculum conforming to it and the usefulness of the learning programme through examples of using the thinking externalisation tool in practice. Results show that the learning programme developed in this study is useful for cultivating the meta-cognitive skill of bachelor students.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117134084","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 : 2013-09-01DOI: 10.1504/IJKWI.2013.056371
H. Kunimune, Masaaki Niimura
This paper proposes a remote lecturing system which has some features to complement non-verbal information in lectures. The proposed system provides students entire sight of the teacher, the blackboard, lecture slides, and so on with low definition video. The students can get the high definition pictures of where they would like to watch by clipping a region on the video. They also can write notes directly on the clipped pictures. The system collects data of clipped regions and wrote notes from the students, and offers its users the data to complement non-verbal information in the lecture. The system also provides the teacher and the students the video of others' faces depending on the situations of the lecture. This paper also organises the verbal and non-verbal information in several situations in a lecture.
{"title":"A remote lecturing system offering complementary non-verbal information in lectures","authors":"H. Kunimune, Masaaki Niimura","doi":"10.1504/IJKWI.2013.056371","DOIUrl":"https://doi.org/10.1504/IJKWI.2013.056371","url":null,"abstract":"This paper proposes a remote lecturing system which has some features to complement non-verbal information in lectures. The proposed system provides students entire sight of the teacher, the blackboard, lecture slides, and so on with low definition video. The students can get the high definition pictures of where they would like to watch by clipping a region on the video. They also can write notes directly on the clipped pictures. The system collects data of clipped regions and wrote notes from the students, and offers its users the data to complement non-verbal information in the lecture. The system also provides the teacher and the students the video of others' faces depending on the situations of the lecture. This paper also organises the verbal and non-verbal information in several situations in a lecture.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133053954","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 : 2013-09-01DOI: 10.1504/IJKWI.2013.056367
Aikaterini K. Kalou, Dimitrios A. Koutsomitropoulos, T. Papatheodorou
The current trends for the future evolution of the web are without doubt the Semantic Web and Web 2.0. A common perception for these two visions is that they are competing. Nevertheless, it becomes more and more obvious that these two concepts are complementary. Semantic web technologies have been considered as a bridge for the technological evolution from Web 2.0 to Web 3.0, the web about recommendation and personalisation. Towards this perspective, in this work, we introduce a framework based on a three-tier architecture that illustrates the potential for combining Web 2.0 mashups and Semantic Web technologies. Based on this framework, we present an application for searching books from Amazon and Half eBay with a focus on personalisation. This implementation purely depends on ontology development, writing of rules for the personalisation, and on creation of a mashup with the aid of web APIs. However, there are several open issues that must be addressed before such applications can become commonplace. The aim of this work is to be a step towards supporting the development of applications which combine the two trends so as to conduce to the term Web 3.0, which is used to describe the next generation web.
{"title":"Semantic web rules and ontologies for developing personalised mashups","authors":"Aikaterini K. Kalou, Dimitrios A. Koutsomitropoulos, T. Papatheodorou","doi":"10.1504/IJKWI.2013.056367","DOIUrl":"https://doi.org/10.1504/IJKWI.2013.056367","url":null,"abstract":"The current trends for the future evolution of the web are without doubt the Semantic Web and Web 2.0. A common perception for these two visions is that they are competing. Nevertheless, it becomes more and more obvious that these two concepts are complementary. Semantic web technologies have been considered as a bridge for the technological evolution from Web 2.0 to Web 3.0, the web about recommendation and personalisation. Towards this perspective, in this work, we introduce a framework based on a three-tier architecture that illustrates the potential for combining Web 2.0 mashups and Semantic Web technologies. Based on this framework, we present an application for searching books from Amazon and Half eBay with a focus on personalisation. This implementation purely depends on ontology development, writing of rules for the personalisation, and on creation of a mashup with the aid of web APIs. However, there are several open issues that must be addressed before such applications can become commonplace. The aim of this work is to be a step towards supporting the development of applications which combine the two trends so as to conduce to the term Web 3.0, which is used to describe the next generation web.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132941915","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 : 2013-09-01DOI: 10.1504/IJKWI.2013.056374
F. Durão, M. Caraciolo, Bruno J. M. Melo, S. Meira
In this paper, we propose a recommendation model to assist users find relevant courses for public tenders. The recommendations are computed based on the user study activity at Atepassar.com, a web-based learning environment for public tender candidates. Unlike traditional academic-oriented recommender systems, our approach takes into account crucial information for public tender candidates such as salary offered by public tenders and location where the exams take place. Technically, our recommendations rely on content-based techniques and a location reasoning method in order to provide users with most feasible courses. Results from a real-world dataset indicate reasonable improvement in recommendation quality over compared baseline models - we observed about 11 precision improvement and 12.7% of recall gain over the best model compared - demonstrating the potential of our approach in recommending personalised courses.
{"title":"Towards effective course-based recommendations for public tenders","authors":"F. Durão, M. Caraciolo, Bruno J. M. Melo, S. Meira","doi":"10.1504/IJKWI.2013.056374","DOIUrl":"https://doi.org/10.1504/IJKWI.2013.056374","url":null,"abstract":"In this paper, we propose a recommendation model to assist users find relevant courses for public tenders. The recommendations are computed based on the user study activity at Atepassar.com, a web-based learning environment for public tender candidates. Unlike traditional academic-oriented recommender systems, our approach takes into account crucial information for public tender candidates such as salary offered by public tenders and location where the exams take place. Technically, our recommendations rely on content-based techniques and a location reasoning method in order to provide users with most feasible courses. Results from a real-world dataset indicate reasonable improvement in recommendation quality over compared baseline models - we observed about 11 precision improvement and 12.7% of recall gain over the best model compared - demonstrating the potential of our approach in recommending personalised courses.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115638387","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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