Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085484
Jiazhi Du, Shijun Dong, Chunrong Li, Weigang Lu
With the advancement of new curriculum reform, educators put more attentions on the quality of physical education (PE). However, the traditional way to evaluate the PE class is not efficient and often time-wasting. In this paper, we attempt to realize the automatic evaluation of PE class by activity recognition. Recently, activity recognition methods are widely applied in various fields, e.g., surveillance, content-based video indexing. This paper utilizes an activity recognition method to evaluate the performance of students in PE from their activities recorded in videos in order to realize intelligent evaluation of the physical education. In this process, the improved dense trajectory (IDT), fisher vector (FV), principal component analysis (PCA) and support vector machine (SVM) are in use. The experiments demonstrate that no matter what feature descriptor is used, the classification accuracy is adequate, so that the activity recognition is effective in PE and the quality of PE can be evaluated automatically.
{"title":"Research on activity recognition of students in physical education based on IDT method","authors":"Jiazhi Du, Shijun Dong, Chunrong Li, Weigang Lu","doi":"10.1109/ICCSE.2017.8085484","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085484","url":null,"abstract":"With the advancement of new curriculum reform, educators put more attentions on the quality of physical education (PE). However, the traditional way to evaluate the PE class is not efficient and often time-wasting. In this paper, we attempt to realize the automatic evaluation of PE class by activity recognition. Recently, activity recognition methods are widely applied in various fields, e.g., surveillance, content-based video indexing. This paper utilizes an activity recognition method to evaluate the performance of students in PE from their activities recorded in videos in order to realize intelligent evaluation of the physical education. In this process, the improved dense trajectory (IDT), fisher vector (FV), principal component analysis (PCA) and support vector machine (SVM) are in use. The experiments demonstrate that no matter what feature descriptor is used, the classification accuracy is adequate, so that the activity recognition is effective in PE and the quality of PE can be evaluated automatically.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125481301","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085532
Zhengchao Lei, Weiyan Chai, Sanyuan Zhao, Hongmei Song, Fengxia Li
Saliency detection in images attracts much research attention for its usage in numerous multimedia applications. In this paper, we propose a saliency detection method based on optimization for RGBD images. With RGBD images, our method utilizes the depth channel to enhance the identification of background and foreground regions. We firstly generate new depth image by using non-linear transformation and outstand object region. Then, we introduce saliency optimization framework to integrate the depth cue and other low-level cues to obtain the final saliency map. The experimental results demonstrate that our method performs better in saliency detection for RGBD Images.
{"title":"Saliency detection for RGBD image using optimization","authors":"Zhengchao Lei, Weiyan Chai, Sanyuan Zhao, Hongmei Song, Fengxia Li","doi":"10.1109/ICCSE.2017.8085532","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085532","url":null,"abstract":"Saliency detection in images attracts much research attention for its usage in numerous multimedia applications. In this paper, we propose a saliency detection method based on optimization for RGBD images. With RGBD images, our method utilizes the depth channel to enhance the identification of background and foreground regions. We firstly generate new depth image by using non-linear transformation and outstand object region. Then, we introduce saliency optimization framework to integrate the depth cue and other low-level cues to obtain the final saliency map. The experimental results demonstrate that our method performs better in saliency detection for RGBD Images.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131350188","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085591
Zhang Chunying, Liu Ying
The large-scale construction of MOOC curriculum is an opportunity and a challenge to the teaching mode reform of university computer in ordinary colleges and universities. This paper first analyzes the urgency of the “basic requirement” proposed teaching content reform to promote the needs of MOOC courses in ordinary colleges and universities; Second, leveraging the elite, build MOOC courses in collaboration with Beijing Institute of Technology in depth, the course structure featured design, has greatly attracted the active participation of teachers and students learning initiative; Third, carefully build our school SPOC curriculum, research and design of the MOOC+SPOC based teaching model, to enable students through SPOC online learning to complete the virtual experiment report, design work documents and PPT etc. Practice shows that the colleges and universities by leveraging Elite schools, build MOOC collaboration with other universities in depth, can save financial, material and human, but also greatly enhance the level of teachers, improve the teaching quality.
{"title":"Research on the model of university computer innovation teaching in MOOC + SPOC under deep cooperative","authors":"Zhang Chunying, Liu Ying","doi":"10.1109/ICCSE.2017.8085591","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085591","url":null,"abstract":"The large-scale construction of MOOC curriculum is an opportunity and a challenge to the teaching mode reform of university computer in ordinary colleges and universities. This paper first analyzes the urgency of the “basic requirement” proposed teaching content reform to promote the needs of MOOC courses in ordinary colleges and universities; Second, leveraging the elite, build MOOC courses in collaboration with Beijing Institute of Technology in depth, the course structure featured design, has greatly attracted the active participation of teachers and students learning initiative; Third, carefully build our school SPOC curriculum, research and design of the MOOC+SPOC based teaching model, to enable students through SPOC online learning to complete the virtual experiment report, design work documents and PPT etc. Practice shows that the colleges and universities by leveraging Elite schools, build MOOC collaboration with other universities in depth, can save financial, material and human, but also greatly enhance the level of teachers, improve the teaching quality.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132058528","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085507
Ying Wang, Yongsheng Rao, Hao Guan, Yu Zou
NetPad is an online dynamic geometry software system designed for mathematics education. It is a Web-based application which can run on various terminals by browsers developed by HTML5. The system not only includes intelligent drawing, dynamic geometry, geometric transformations, animations, measurements, but also provides an open platform to share works and explore mathematics problems. In the paper, we describe the features of NetPad and show how it works in concrete scenario. Through geometric drawing experiments, we demonstrate the simplicity, effectiveness, and efficiency of NetPad.
{"title":"NetPad: An online DGS for mathematics education","authors":"Ying Wang, Yongsheng Rao, Hao Guan, Yu Zou","doi":"10.1109/ICCSE.2017.8085507","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085507","url":null,"abstract":"NetPad is an online dynamic geometry software system designed for mathematics education. It is a Web-based application which can run on various terminals by browsers developed by HTML5. The system not only includes intelligent drawing, dynamic geometry, geometric transformations, animations, measurements, but also provides an open platform to share works and explore mathematics problems. In the paper, we describe the features of NetPad and show how it works in concrete scenario. Through geometric drawing experiments, we demonstrate the simplicity, effectiveness, and efficiency of NetPad.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132482593","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085500
Celong Liu, Zhonggui Chen, Xin Li
We develop a structured quad meshing algorithm for large-scale 2D geometric regions based on solving a low-distorted poly-square map. The poly-square map is constructed through a divide-and-conquer strategy in a distributed way. First, a geometry-aware partitioning is performed to decompose the geometric region into solvable subparts. Then, parameterizations and meshing are computed on subregions under certain boundary constraints. The local results are merged and refined through a multi-pass optimization until the global convergence of the polysquare map is achieved. We demonstrate that our algorithm can process huge geometric model effectively on high performance clusters.
{"title":"2D quad mesh generation using divide and conquer poly-square maps","authors":"Celong Liu, Zhonggui Chen, Xin Li","doi":"10.1109/ICCSE.2017.8085500","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085500","url":null,"abstract":"We develop a structured quad meshing algorithm for large-scale 2D geometric regions based on solving a low-distorted poly-square map. The poly-square map is constructed through a divide-and-conquer strategy in a distributed way. First, a geometry-aware partitioning is performed to decompose the geometric region into solvable subparts. Then, parameterizations and meshing are computed on subregions under certain boundary constraints. The local results are merged and refined through a multi-pass optimization until the global convergence of the polysquare map is achieved. We demonstrate that our algorithm can process huge geometric model effectively on high performance clusters.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133961903","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085458
L. Shanshan, Yang Shiqiang
Traditional experiments and EDA technique-based CPLD experiments have their own characteristics in digital logic experiment teaching. Therefore, we try to combine such two kinds of experiments in teaching with the aim of taking full advantage of them. This paper introduces the practice in digital logic experiment teaching based on experimental platform, which is under the guidance of such ideas. We scheduled experimental contents to be performed on the platform developed by us, which considers the ratio of the two kinds of experiments, also arranges the comprehensive experiment with topics selected independently by students. The results prove that the combination of such two kinds of experiments is beneficial to train students in improving their software and hardware application ability, not only in mastering the digital logic course effectively, but also in strengthening the ability of practice.
{"title":"Digital logic experiment teaching based on experimental platform","authors":"L. Shanshan, Yang Shiqiang","doi":"10.1109/ICCSE.2017.8085458","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085458","url":null,"abstract":"Traditional experiments and EDA technique-based CPLD experiments have their own characteristics in digital logic experiment teaching. Therefore, we try to combine such two kinds of experiments in teaching with the aim of taking full advantage of them. This paper introduces the practice in digital logic experiment teaching based on experimental platform, which is under the guidance of such ideas. We scheduled experimental contents to be performed on the platform developed by us, which considers the ratio of the two kinds of experiments, also arranges the comprehensive experiment with topics selected independently by students. The results prove that the combination of such two kinds of experiments is beneficial to train students in improving their software and hardware application ability, not only in mastering the digital logic course effectively, but also in strengthening the ability of practice.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130830917","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085586
L. Ma, Ji-chao Hu, Yiying Chen, X. Liu, Wenbin Li
In view of the teaching actual situation of the basic computer course, taking C language programming as an example, this paper analyzes the characteristics of the course, and puts forward the reform program of the blended teaching mode combined with flipped classroom. The teaching effect improved significantly; it strengthens the students' ability of computational thinking, self-learning ability and innovation ability. Finally, this paper carries on the thinking and the summary to the teaching reform work, in order to continuously improve the course quality.
{"title":"Teaching reform and practice of the basic computer course based on flipped classroom","authors":"L. Ma, Ji-chao Hu, Yiying Chen, X. Liu, Wenbin Li","doi":"10.1109/ICCSE.2017.8085586","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085586","url":null,"abstract":"In view of the teaching actual situation of the basic computer course, taking C language programming as an example, this paper analyzes the characteristics of the course, and puts forward the reform program of the blended teaching mode combined with flipped classroom. The teaching effect improved significantly; it strengthens the students' ability of computational thinking, self-learning ability and innovation ability. Finally, this paper carries on the thinking and the summary to the teaching reform work, in order to continuously improve the course quality.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"42 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133103307","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085498
Yong Zhang, Shuoming Zhang, Ruonan Li, Da Guo, Yifei Wei, Yan Sun
WiFi Fingerprint Positioning (WFP) in outdoor scenario needs mass location information including WiFi signal map and GPS (Global Positioning System) information. Generally pre-measured solution can provide high quality data but it needs lots of labor and time. Different from pre-measured solution, crowdsourcing is an economic and efficient way to obtain location information. WFP based on Clustering (WFP-C) in mobile crowdsourcing system is proposed to improve positioning accuracy and reduce computation complexity. WFP-C includes three phases: offline database building, dataset preprocessing and online positioning. In offline database building phase, Android-based APP is developed to collect crowdsourcing data. In dataset preprocessing phase, according to some clustering algorithm, the geography area is divided into several fingerprint clusters which are identified by Position Feature Vectors (PFVs). In online positioning phase, two-stage matching method is proposed. Firstly, the WiFi signal vector is used to match some cluster according to PFVs. And then, the accurate position is calculate using the WiFi signal vector of the cluster. The Android-based APP is installed in smart phones which are carried by ten volunteers. The collected data is used to evaluated our proposal. The experiment compares WFP-C, grid-based WFP and non-cluster WFP. The evaluation results indicate that WFP-C can achieve higher positioning accuracy and low computation complexity.
{"title":"WiFi fingerprint positioning based on clustering in mobile crowdsourcing system","authors":"Yong Zhang, Shuoming Zhang, Ruonan Li, Da Guo, Yifei Wei, Yan Sun","doi":"10.1109/ICCSE.2017.8085498","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085498","url":null,"abstract":"WiFi Fingerprint Positioning (WFP) in outdoor scenario needs mass location information including WiFi signal map and GPS (Global Positioning System) information. Generally pre-measured solution can provide high quality data but it needs lots of labor and time. Different from pre-measured solution, crowdsourcing is an economic and efficient way to obtain location information. WFP based on Clustering (WFP-C) in mobile crowdsourcing system is proposed to improve positioning accuracy and reduce computation complexity. WFP-C includes three phases: offline database building, dataset preprocessing and online positioning. In offline database building phase, Android-based APP is developed to collect crowdsourcing data. In dataset preprocessing phase, according to some clustering algorithm, the geography area is divided into several fingerprint clusters which are identified by Position Feature Vectors (PFVs). In online positioning phase, two-stage matching method is proposed. Firstly, the WiFi signal vector is used to match some cluster according to PFVs. And then, the accurate position is calculate using the WiFi signal vector of the cluster. The Android-based APP is installed in smart phones which are carried by ten volunteers. The collected data is used to evaluated our proposal. The experiment compares WFP-C, grid-based WFP and non-cluster WFP. The evaluation results indicate that WFP-C can achieve higher positioning accuracy and low computation complexity.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133785246","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085457
Nadeem Hassan
In the universities where undergraduate Computer Engineering (CE) and Computer Science (CS) programs are offered, people often wrongly argue that the CE program should be offered under College of Engineering instead of under the college where CS program is offered, this is mostly because they think CE program has “Engineering” word in it. This school of thought does not realize that by this, it will take CE program apart from CS program, which will break the natural alliance of both of these programs. In this paper, this natural alliance of CE and CS programs is discussed, which gives strong argument that both CE and CS programs should be put together under the same college. To further support these arguments of putting CE and CS programs together, the best practices adopted in this regards by the top 10 universities in KSA, USA, UK and other European Universities are studied and results are provided to prove that CE and CS programs should be put together under the same college. Since, this is the current debate at AlBaha University in Saudi Arabia (KSA), therefore the case of AlBaha University is presented to settle the argument.
{"title":"Putting computer engineering and computer science programs together — The case of AlBaha university","authors":"Nadeem Hassan","doi":"10.1109/ICCSE.2017.8085457","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085457","url":null,"abstract":"In the universities where undergraduate Computer Engineering (CE) and Computer Science (CS) programs are offered, people often wrongly argue that the CE program should be offered under College of Engineering instead of under the college where CS program is offered, this is mostly because they think CE program has “Engineering” word in it. This school of thought does not realize that by this, it will take CE program apart from CS program, which will break the natural alliance of both of these programs. In this paper, this natural alliance of CE and CS programs is discussed, which gives strong argument that both CE and CS programs should be put together under the same college. To further support these arguments of putting CE and CS programs together, the best practices adopted in this regards by the top 10 universities in KSA, USA, UK and other European Universities are studied and results are provided to prove that CE and CS programs should be put together under the same college. Since, this is the current debate at AlBaha University in Saudi Arabia (KSA), therefore the case of AlBaha University is presented to settle the argument.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114544196","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 : 2017-08-01DOI: 10.1109/ICCSE.2017.8085497
Jiemin Zhang, Fang Lu, Jian Mao
Information equipment industry is knowledgeintensive and technology-intensive industry. The ability of independent innovation is the key driver for industry development. This paper studied modeling of the information equipment industry development. The academic attributes and the technical attributes be introduced into the model, through defining the theoretical density, the technology density and the new product density. It is proposed that establishing information equipment industry model with the innovation index, equity index and productivity index, as well as these expressions. Additionally, the paper put forward new way to calculate the weight of indicators which related to specific research problems' context-relevant. Analyzed the batch data of information equipment industry from 2010 to 2014 based on the established model, and through a Python program to achieve the sorting and global optimization of decision-making, shows part of the data analysis results as visualize graphs.
{"title":"Research on information equipment industry data analysis modelling establish","authors":"Jiemin Zhang, Fang Lu, Jian Mao","doi":"10.1109/ICCSE.2017.8085497","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085497","url":null,"abstract":"Information equipment industry is knowledgeintensive and technology-intensive industry. The ability of independent innovation is the key driver for industry development. This paper studied modeling of the information equipment industry development. The academic attributes and the technical attributes be introduced into the model, through defining the theoretical density, the technology density and the new product density. It is proposed that establishing information equipment industry model with the innovation index, equity index and productivity index, as well as these expressions. Additionally, the paper put forward new way to calculate the weight of indicators which related to specific research problems' context-relevant. Analyzed the batch data of information equipment industry from 2010 to 2014 based on the established model, and through a Python program to achieve the sorting and global optimization of decision-making, shows part of the data analysis results as visualize graphs.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117310482","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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