The shift from hypothesis-driven to data-driven science implies new methods for hypothesis generation. Creativity support has to be offered for problem finding based on research data. DataCreativityTools (DCT) is a research & development project building a pilot creativity support tool for the OpEN.SC biomedical data.
{"title":"Creativity Support Tools for Data Triggered Hypothesis Generation","authors":"Lars Müller, T. Wetzel, H. Hobohm, T. Schrader","doi":"10.1109/KICSS.2012.12","DOIUrl":"https://doi.org/10.1109/KICSS.2012.12","url":null,"abstract":"The shift from hypothesis-driven to data-driven science implies new methods for hypothesis generation. Creativity support has to be offered for problem finding based on research data. DataCreativityTools (DCT) is a research & development project building a pilot creativity support tool for the OpEN.SC biomedical data.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125108102","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}
Oskar Gross, Hannu (TT) Toivonen, Jukka M. Toivanen, A. Valitutti
A fluent ability to associate tasks, concepts, ideas, knowledge and experiences in a relevant way is often considered an important factor of creativity, especially in problem solving. We are interested in providing computational support for discovering such creative associations. In this paper we design minimally supervised methods that can perform well in the remote associates test (RAT), a well-known psychometric measure of creativity. We show that with a large corpus of text and some relatively simple principles, this can be achieved. We then develop methods for a more general word association model that could be used in lexical creativity support systems, and which also could be a small step towards lexical creativity in computers.
{"title":"Lexical Creativity from Word Associations","authors":"Oskar Gross, Hannu (TT) Toivonen, Jukka M. Toivanen, A. Valitutti","doi":"10.1109/KICSS.2012.38","DOIUrl":"https://doi.org/10.1109/KICSS.2012.38","url":null,"abstract":"A fluent ability to associate tasks, concepts, ideas, knowledge and experiences in a relevant way is often considered an important factor of creativity, especially in problem solving. We are interested in providing computational support for discovering such creative associations. In this paper we design minimally supervised methods that can perform well in the remote associates test (RAT), a well-known psychometric measure of creativity. We show that with a large corpus of text and some relatively simple principles, this can be achieved. We then develop methods for a more general word association model that could be used in lexical creativity support systems, and which also could be a small step towards lexical creativity in computers.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126944658","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}
E-Governance, a faster pace in the recent years and extensive investment has been done towards it. On the other side knowledge is increasingly recognized as an important, strategic resource by all types of organizations and institutions either public or private, Knowledge Management is vital for apposite functioning of e-Governance. KM & e-governance are two facets of the coin for providing smooth functioning of the activities, still lesser importance is given to explore the benefits of KM in Public sector. This paper focuses the need of KM, some issues challenges and opportunities for government sectors are analyzed. KM provides the overall strategy and techniques to manage e-government content eloquently in order to make knowledge more usable and accessible and to keep it updated. A case study on the e-kiosks in India is shown to support the importance of KM towards awareness among the citizen about the services provided at e-kiosks.
{"title":"Knowledge Management and E-governance: A Case Study of E-kiosk in India","authors":"Archana Singh, D. Goyal, Sarika Sharma","doi":"10.1109/KICSS.2012.37","DOIUrl":"https://doi.org/10.1109/KICSS.2012.37","url":null,"abstract":"E-Governance, a faster pace in the recent years and extensive investment has been done towards it. On the other side knowledge is increasingly recognized as an important, strategic resource by all types of organizations and institutions either public or private, Knowledge Management is vital for apposite functioning of e-Governance. KM & e-governance are two facets of the coin for providing smooth functioning of the activities, still lesser importance is given to explore the benefits of KM in Public sector. This paper focuses the need of KM, some issues challenges and opportunities for government sectors are analyzed. KM provides the overall strategy and techniques to manage e-government content eloquently in order to make knowledge more usable and accessible and to keep it updated. A case study on the e-kiosks in India is shown to support the importance of KM towards awareness among the citizen about the services provided at e-kiosks.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114945451","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}
For any pitched sound in nature, there is an inner structure of that sound displaying a series of harmonics, or partials, that vibrate with different frequencies. Due to the mathematical underpinnings of those frequencies, the pitched sound may be visualized with a Cartesian (logarithmic) spiral design [16]. The language of mathematics and music can therefore be pictorial, and so the elements of music - e.g., intervals, rhythmic and harmonic structures, these originate in the harmonic series (THS), and can be matched against spiral and circle designs. This paper discusses such visualizations suggesting from preliminary findings that pictorial representations of music are beneficial to: I. Explain the form in a musical piece, II. Facilitate students' understanding of compositional processes in music, III. Enhance memorization in music performance, IV. Develop such visualizations into a method of teaching in music and coaching for music performance. Narrative enquiry is the framework for an envisaged qualitative study [5], [23] which engages creativity and visualization in music performance, teaching, learning, coaching, music composition and analysis.
{"title":"The Zone of Musical Creativity: Harmonic Series Structures - From Pictorial Representation to a Method of Teaching","authors":"Alina Abraham","doi":"10.1109/KICSS.2012.41","DOIUrl":"https://doi.org/10.1109/KICSS.2012.41","url":null,"abstract":"For any pitched sound in nature, there is an inner structure of that sound displaying a series of harmonics, or partials, that vibrate with different frequencies. Due to the mathematical underpinnings of those frequencies, the pitched sound may be visualized with a Cartesian (logarithmic) spiral design [16]. The language of mathematics and music can therefore be pictorial, and so the elements of music - e.g., intervals, rhythmic and harmonic structures, these originate in the harmonic series (THS), and can be matched against spiral and circle designs. This paper discusses such visualizations suggesting from preliminary findings that pictorial representations of music are beneficial to: I. Explain the form in a musical piece, II. Facilitate students' understanding of compositional processes in music, III. Enhance memorization in music performance, IV. Develop such visualizations into a method of teaching in music and coaching for music performance. Narrative enquiry is the framework for an envisaged qualitative study [5], [23] which engages creativity and visualization in music performance, teaching, learning, coaching, music composition and analysis.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122362390","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}
A new semi-supervised approach for Chinese relation extraction (RE) over constantly growing and edgeless web data is introduced in this paper. Existing semi-supervised approaches have the better improvement potential while lacking syntactic structure and semantic meaning of a sentence and unsuitable to loosely structured Chinese sentences. To follow their basic procedures as well as covering their remaining shortages, a dependency tree (DT) including both structure and semantic information is drawn in. Based on DTs, a new kind of pattern, called DT-based pattern, is proposed to extract new triples. Later patterns are optimized according to the characteristics of Chinese and typed dependency trees. Finally, extensive experiments show the higher precision and more efficiency of the proposed approach against DIPRE.
{"title":"Dependency Tree Based Chinese Relation Extraction over Web Data","authors":"Shanshan Zheng, J. Yang, Xin Lin, Junzhong Gu","doi":"10.1109/KICSS.2012.32","DOIUrl":"https://doi.org/10.1109/KICSS.2012.32","url":null,"abstract":"A new semi-supervised approach for Chinese relation extraction (RE) over constantly growing and edgeless web data is introduced in this paper. Existing semi-supervised approaches have the better improvement potential while lacking syntactic structure and semantic meaning of a sentence and unsuitable to loosely structured Chinese sentences. To follow their basic procedures as well as covering their remaining shortages, a dependency tree (DT) including both structure and semantic information is drawn in. Based on DTs, a new kind of pattern, called DT-based pattern, is proposed to extract new triples. Later patterns are optimized according to the characteristics of Chinese and typed dependency trees. Finally, extensive experiments show the higher precision and more efficiency of the proposed approach against DIPRE.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130397070","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}
Discovering discourse units in Thai, a language without word and sentence boundaries, is not a straightforward task due to its high part-of-speech (POS) ambiguity and serial verb constituents. This paper introduces definitions of Thai elementary discourse units (T-EDUs), grammar rules for T-EDU segmentation and a longest-matching-based chart parser. The T-EDU definitions are used for constructing a set of context free grammar (CFG) rules. As a result, 446 CFG rules are constructed from 1,340 T-EDUs, extracted from the NE- and POS-tagged corpus, Thai-NEST. These T-EDUs are evaluated with two linguists and the kappa score is 0.68. Separately, a two-level evaluation is applied, one is done in an arranged situation where a text is pre-chunked while the other is performed in a normal situation where the original running text is used for test. By specifying one grammar rule per one T-EDU instance, it is possible to make the perfect recall (100%) in a close environment when the testing corpus and the training corpus are the same, but the recall of approximately 36.16% and 31.69% are obtained for the chunked and the running texts, respectively. For an open test with 3-fold cross validation, the recall is around 67% while the precision is only 25-28%. To improve the precision score, two alternative strategies are applied, left-to-right longest matching (L2R-LM) and maximal longest matching (M-LM). The results show that in the L2R-LM and M-LM can improve the precision to 93.97% and 94.03% for the running text in the close test. However, the recall drops slightly to 94.18% and 92.91%. For the running text in the open test, the f-score improves to 57.70% and 54.14% for the L2R-LM and M-LM.
{"title":"A Rule-Based Method for Thai Elementary Discourse Unit Segmentation (TED-Seg)","authors":"Nongnuch Ketui, T. Theeramunkong, C. Onsuwan","doi":"10.1109/KICSS.2012.33","DOIUrl":"https://doi.org/10.1109/KICSS.2012.33","url":null,"abstract":"Discovering discourse units in Thai, a language without word and sentence boundaries, is not a straightforward task due to its high part-of-speech (POS) ambiguity and serial verb constituents. This paper introduces definitions of Thai elementary discourse units (T-EDUs), grammar rules for T-EDU segmentation and a longest-matching-based chart parser. The T-EDU definitions are used for constructing a set of context free grammar (CFG) rules. As a result, 446 CFG rules are constructed from 1,340 T-EDUs, extracted from the NE- and POS-tagged corpus, Thai-NEST. These T-EDUs are evaluated with two linguists and the kappa score is 0.68. Separately, a two-level evaluation is applied, one is done in an arranged situation where a text is pre-chunked while the other is performed in a normal situation where the original running text is used for test. By specifying one grammar rule per one T-EDU instance, it is possible to make the perfect recall (100%) in a close environment when the testing corpus and the training corpus are the same, but the recall of approximately 36.16% and 31.69% are obtained for the chunked and the running texts, respectively. For an open test with 3-fold cross validation, the recall is around 67% while the precision is only 25-28%. To improve the precision score, two alternative strategies are applied, left-to-right longest matching (L2R-LM) and maximal longest matching (M-LM). The results show that in the L2R-LM and M-LM can improve the precision to 93.97% and 94.03% for the running text in the close test. However, the recall drops slightly to 94.18% and 92.91%. For the running text in the open test, the f-score improves to 57.70% and 54.14% for the L2R-LM and M-LM.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134407826","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}
Yee Wei Law, T. Alpcan, V. Lee, A. Lo, S. Marusic, M. Palaniswami
A power grid has four segments: generation, transmission, distribution and demand. Until now, utilities have been focusing on streamlining their generation, transmission and distribution operations for energy efficiency. While loads have traditionally been a passive part of a grid, with rapid advances in ICT, demand-side technologies now play an increasingly important role in the energy efficiency of power grids. This paper starts by introducing the key concepts of demand-side management and demand-side load management. Classical demand-side management defines six load shape objectives, of which "peak clipping" and "load shifting" are most widely applicable and most relevant to energy efficiency. At present, the predominant demand-side management activity is demand response (DR). This paper surveys DR architectures, which are ICT architectures for enabling DR programs as well as load management. This paper also surveys load management solutions for responding to DR programs, in the form of load reduction and load shifting algorithms. A taxonomy for "group load shifting" is proposed. Research challenges and opportunities are identified and linked to ambient intelligence, wireless sensor networks, nonintrusive load monitoring, virtual power plants, etc.
{"title":"Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey","authors":"Yee Wei Law, T. Alpcan, V. Lee, A. Lo, S. Marusic, M. Palaniswami","doi":"10.1109/KICSS.2012.45","DOIUrl":"https://doi.org/10.1109/KICSS.2012.45","url":null,"abstract":"A power grid has four segments: generation, transmission, distribution and demand. Until now, utilities have been focusing on streamlining their generation, transmission and distribution operations for energy efficiency. While loads have traditionally been a passive part of a grid, with rapid advances in ICT, demand-side technologies now play an increasingly important role in the energy efficiency of power grids. This paper starts by introducing the key concepts of demand-side management and demand-side load management. Classical demand-side management defines six load shape objectives, of which \"peak clipping\" and \"load shifting\" are most widely applicable and most relevant to energy efficiency. At present, the predominant demand-side management activity is demand response (DR). This paper surveys DR architectures, which are ICT architectures for enabling DR programs as well as load management. This paper also surveys load management solutions for responding to DR programs, in the form of load reduction and load shifting algorithms. A taxonomy for \"group load shifting\" is proposed. Research challenges and opportunities are identified and linked to ambient intelligence, wireless sensor networks, nonintrusive load monitoring, virtual power plants, etc.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115483007","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}
Many studies have suggested that service system service value creation is considered crucial for electronic and online systems. However few studies have focused on the success factors that drive it. This paper proposes a research model for determining the relationship between complementary services and the service system value of eMarketplaces in Saudi Arabia (SA). It was tested by Saudi online customers (n=337) divided into two groups: student (N=156) and non-student (N=181) based on their age, experience and their involvement in the technology. The findings have proven that there is a positive correlation between complementary services and service system value creation moderated by cultural values of SA.
{"title":"The Relationship between Complementary Services and Service System Value Creation: A Case Study of eMarketplaces in Saudi Arabia","authors":"F. Algarni, Y. Cheung, V. Lee","doi":"10.1109/KICSS.2012.16","DOIUrl":"https://doi.org/10.1109/KICSS.2012.16","url":null,"abstract":"Many studies have suggested that service system service value creation is considered crucial for electronic and online systems. However few studies have focused on the success factors that drive it. This paper proposes a research model for determining the relationship between complementary services and the service system value of eMarketplaces in Saudi Arabia (SA). It was tested by Saudi online customers (n=337) divided into two groups: student (N=156) and non-student (N=181) based on their age, experience and their involvement in the technology. The findings have proven that there is a positive correlation between complementary services and service system value creation moderated by cultural values of SA.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129809817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As the explosive growth of online linked data, the task of mining link patterns attracts more and more attention. A practical issue is how to perform mining efficiently in large-scale linked data. Existing pattern mining algorithms usually assume that the dataset can fit into the main memory, while linked data of billion triples is far beyond the memory limitation. In this paper we give a pilot study of a novel partitioning strategy for mining link patterns in large-scale linked data. First, we propose an algorithm named Par Group to divide and group large linked data to partitions based on vertex label, Second, an adapted gSpan is applied for mining link patterns in each partition, At last, discovered link patterns are merged into a global result set. Experiments show that our strategy is feasible and promising in some scenarios.
{"title":"A Label-Based Partitioning Strategy for Mining Link Patterns","authors":"Cuifang Zhao, Xiang Zhang, Peng Wang","doi":"10.1109/KICSS.2012.15","DOIUrl":"https://doi.org/10.1109/KICSS.2012.15","url":null,"abstract":"As the explosive growth of online linked data, the task of mining link patterns attracts more and more attention. A practical issue is how to perform mining efficiently in large-scale linked data. Existing pattern mining algorithms usually assume that the dataset can fit into the main memory, while linked data of billion triples is far beyond the memory limitation. In this paper we give a pilot study of a novel partitioning strategy for mining link patterns in large-scale linked data. First, we propose an algorithm named Par Group to divide and group large linked data to partitions based on vertex label, Second, an adapted gSpan is applied for mining link patterns in each partition, At last, discovered link patterns are merged into a global result set. Experiments show that our strategy is feasible and promising in some scenarios.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129919273","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}
This paper proposes a novel concept called "Creativity Mining" for making use of everybody's potential creativity. Even though it is quite difficult for general people to create novel things, that does not mean that we are not creative. We all potentially have creativity. We simply cannot manifest our potential creativity at will or are unaware of its existence. In this sense, we are not uncreative but not-yet-creative. To increase creative human resources to establish the coming "Creative Society" we require new technologies for finding the buried creativity deep within not-yet-creative people and for supporting its manifestation. Although creativity support technologies have been widely studied, they have supported the creative activities of already creative people. They are not useful for supporting not-yet-creative people. In contrast, creativity mining technology supports not-yet-creative people to find and confirm their potential creativity. We illustrate three example systems developed at the author's laboratory and discuss how they work as creativity mining systems and their requisites.
{"title":"Creativity Mining: Humane Technology for Creating a Creative Society","authors":"Kazushi Nishimoto","doi":"10.1109/KICSS.2012.31","DOIUrl":"https://doi.org/10.1109/KICSS.2012.31","url":null,"abstract":"This paper proposes a novel concept called \"Creativity Mining\" for making use of everybody's potential creativity. Even though it is quite difficult for general people to create novel things, that does not mean that we are not creative. We all potentially have creativity. We simply cannot manifest our potential creativity at will or are unaware of its existence. In this sense, we are not uncreative but not-yet-creative. To increase creative human resources to establish the coming \"Creative Society\" we require new technologies for finding the buried creativity deep within not-yet-creative people and for supporting its manifestation. Although creativity support technologies have been widely studied, they have supported the creative activities of already creative people. They are not useful for supporting not-yet-creative people. In contrast, creativity mining technology supports not-yet-creative people to find and confirm their potential creativity. We illustrate three example systems developed at the author's laboratory and discuss how they work as creativity mining systems and their requisites.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128437898","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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