In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index, hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. Many factors such as political events, general economic conditions, and traders' expectations may have an influence on the stock market index. There are numerous research studies that use indicators to forecast the direction of the stock market index. In this study, we applied two types of input variables to predict the direction of the daily stock market index. The main contribution of this study is the ability to predict the direction of the next day's price of the Japanese stock market index by using an optimized artificial neural network (ANN) model. To improve the prediction accuracy of the trend of the stock market index in the future, we optimize the ANN model using genetic algorithms (GA). We demonstrate and verify the predictability of stock price direction by using the hybrid GA-ANN model and then compare the performance with prior studies. Empirical results show that the Type 2 input variables can generate a higher forecast accuracy and that it is possible to enhance the performance of the optimized ANN model.
{"title":"Application of the Artifical Neural Network in Predicting the Direction of Stock Market Index","authors":"M. Qiu, Li Cheng, Song Yu","doi":"10.1109/CISIS.2016.115","DOIUrl":"https://doi.org/10.1109/CISIS.2016.115","url":null,"abstract":"In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index, hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. Many factors such as political events, general economic conditions, and traders' expectations may have an influence on the stock market index. There are numerous research studies that use indicators to forecast the direction of the stock market index. In this study, we applied two types of input variables to predict the direction of the daily stock market index. The main contribution of this study is the ability to predict the direction of the next day's price of the Japanese stock market index by using an optimized artificial neural network (ANN) model. To improve the prediction accuracy of the trend of the stock market index in the future, we optimize the ANN model using genetic algorithms (GA). We demonstrate and verify the predictability of stock price direction by using the hybrid GA-ANN model and then compare the performance with prior studies. Empirical results show that the Type 2 input variables can generate a higher forecast accuracy and that it is possible to enhance the performance of the optimized ANN model.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130349609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The number of Massive Open Online Courses (MOOCs) has increased exponentially in the last years in all areas of knowledge. Some of these courses require that the learner has to acquire practical skills. This is a challenge for a MOOC since scalable new methodologies and tools have to be developed to teach and assess these skills. This paper presents an intelligent tutoring system (ITS) adapted for a MOOC to learn digital systems design. Learning this skill has several difficulties mostly for novice learners in the area of Computer Science or Electronic Engineering specialties. The problem aggravates on virtual environments without face-to-face interaction with the instructor. ITSs are suitable for MOOC environments since they promote the self-learning process and they improve the support to personalized feedback.
{"title":"Intelligent Tutoring System for Learning Digital Systems on MOOC Environments","authors":"David Bañeres, Joaquín Saiz","doi":"10.1109/CISIS.2016.47","DOIUrl":"https://doi.org/10.1109/CISIS.2016.47","url":null,"abstract":"The number of Massive Open Online Courses (MOOCs) has increased exponentially in the last years in all areas of knowledge. Some of these courses require that the learner has to acquire practical skills. This is a challenge for a MOOC since scalable new methodologies and tools have to be developed to teach and assess these skills. This paper presents an intelligent tutoring system (ITS) adapted for a MOOC to learn digital systems design. Learning this skill has several difficulties mostly for novice learners in the area of Computer Science or Electronic Engineering specialties. The problem aggravates on virtual environments without face-to-face interaction with the instructor. ITSs are suitable for MOOC environments since they promote the self-learning process and they improve the support to personalized feedback.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131396148","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}
L. Mossucca, Klodiana Goga, Gianluca Spoto, Thomas Bolognesi, G. Caragnano
BUS Services Mobilizing Living Lab, namely BUSSOLA, focuses on means of transport for people to make a living lab on the move upon which to design, implement and test innovative services that uses and feeds platform SmartDataNet. In particular, thanks to several sensors and devices, the system pays attention on three main macro-areas: air quality monitoring, passengers monitoring and safety on board the vehicles. A distributed and modular architecture has been adopted, to communicate and manage heterogeneous information. The solution is based on cloud technology for a better flexibility and scalability system and an easier adaptation at future requirements in term of computational resource and storage. It allows to experiment and adopt paradigms typical of the world of the Internet of Things and the Internet of Services, it made available by the platform SmartDataNet starting from the processing of big data and open-data.
{"title":"BUSSOLA: A Cloud Collaborative Platform of Oriented Services to Passengers","authors":"L. Mossucca, Klodiana Goga, Gianluca Spoto, Thomas Bolognesi, G. Caragnano","doi":"10.1109/CISIS.2016.91","DOIUrl":"https://doi.org/10.1109/CISIS.2016.91","url":null,"abstract":"BUS Services Mobilizing Living Lab, namely BUSSOLA, focuses on means of transport for people to make a living lab on the move upon which to design, implement and test innovative services that uses and feeds platform SmartDataNet. In particular, thanks to several sensors and devices, the system pays attention on three main macro-areas: air quality monitoring, passengers monitoring and safety on board the vehicles. A distributed and modular architecture has been adopted, to communicate and manage heterogeneous information. The solution is based on cloud technology for a better flexibility and scalability system and an easier adaptation at future requirements in term of computational resource and storage. It allows to experiment and adopt paradigms typical of the world of the Internet of Things and the Internet of Services, it made available by the platform SmartDataNet starting from the processing of big data and open-data.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131681901","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}
We have had practice of programming education using Scratch, which is a visual programming environment, and NanoBoardAG, which is a microcomputer board with multiple sensors. After students learned the basics of programming and how to treat values that sensors measured, they produced original games while giving ideas each other. Finally, they published completed games.
{"title":"Practice of Programming Education Using Scratch and NanoBoardAG for High School Students","authors":"Kazuaki Yoshihara, Kenzi Watanabe","doi":"10.1109/CISIS.2016.118","DOIUrl":"https://doi.org/10.1109/CISIS.2016.118","url":null,"abstract":"We have had practice of programming education using Scratch, which is a visual programming environment, and NanoBoardAG, which is a microcomputer board with multiple sensors. After students learned the basics of programming and how to treat values that sensors measured, they produced original games while giving ideas each other. Finally, they published completed games.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The utilization and flexibility of using resource embrace each organization builds its own private cloud. Cloud Federation is a recent paradigm that helps deal with both physical resources under-utilization and resource limitation in their local infrastructure. Due to the management separation, we are interested in self-sufficiency approach in discovering and matchmaking to establish the federation with other clouds. We leverage event-based design helps communicate over sites to enable negotiate scheduling between among providers. We propose decentralized broker supporting differentiated ratio-base job scheduling (DrbCF) to manage send/receive workload. Our evaluation shows the ability to accept new small capacity member and improve overall federation throughput with the differentiated rate approximately 14-16%. DrbCF is a useful tool supporting the differentiated capacity sites as well as the dynamic of interconnect structure under cloud circumstance.
{"title":"DrbCF: A Differentiated Ratio-Based Approach to Job Scheduling in Cloud Federation","authors":"Phuong Nguyen, N. Thoai","doi":"10.1109/CISIS.2016.93","DOIUrl":"https://doi.org/10.1109/CISIS.2016.93","url":null,"abstract":"The utilization and flexibility of using resource embrace each organization builds its own private cloud. Cloud Federation is a recent paradigm that helps deal with both physical resources under-utilization and resource limitation in their local infrastructure. Due to the management separation, we are interested in self-sufficiency approach in discovering and matchmaking to establish the federation with other clouds. We leverage event-based design helps communicate over sites to enable negotiate scheduling between among providers. We propose decentralized broker supporting differentiated ratio-base job scheduling (DrbCF) to manage send/receive workload. Our evaluation shows the ability to accept new small capacity member and improve overall federation throughput with the differentiated rate approximately 14-16%. DrbCF is a useful tool supporting the differentiated capacity sites as well as the dynamic of interconnect structure under cloud circumstance.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121732710","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}
In our precious work, we presented the design and implementation of a omnidirectional wheelchair. The wheelchair with good performance for the aged and disabled is attracting attention from the society. Also, the wheelchair can provide the user with many benefits, such as maintaining mobility, continuing or broadening community and social activities, conserving strength and energy, and enhancing quality of life. The wheelchair body must be compact enough and should be able to make different movements in order to have many applications. In this paper, we present the design of an omnidirectional wheelchair for playing tennis. Finally, we discuss some implementation and application issues.
{"title":"Design of an Omnidirectional Wheelchair for Playing Tennis","authors":"Keita Matsuo, L. Barolli","doi":"10.1109/CISIS.2016.79","DOIUrl":"https://doi.org/10.1109/CISIS.2016.79","url":null,"abstract":"In our precious work, we presented the design and implementation of a omnidirectional wheelchair. The wheelchair with good performance for the aged and disabled is attracting attention from the society. Also, the wheelchair can provide the user with many benefits, such as maintaining mobility, continuing or broadening community and social activities, conserving strength and energy, and enhancing quality of life. The wheelchair body must be compact enough and should be able to make different movements in order to have many applications. In this paper, we present the design of an omnidirectional wheelchair for playing tennis. Finally, we discuss some implementation and application issues.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"20 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131062393","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}
Dilawaer Duolikun, Ryoma Watanabe, T. Enokido, M. Takizawa
We have to reduce the electric energy consumed by servers in a cluster in order to realize eco-society. Types of algorithms for a request process to select an energy-efficient server in a cluster of servers are proposed in our previous studies. Furthermore, algorithms for energy-efficiently migrating a process on a host server to a more energy-efficient guest server is discussed. Virtual machines are now widely used to support applications with virtual computation service in cloud computing systems. Here, a virtual machine can migrate to a guest server, e.g. which is less loaded. By migrating a virtual machine, application processes performed on the virtual machine can also migrate from a host server to another guest server. In this paper, we newly propose an energy-aware migration algorithm of virtual machines (EAMV). Here, processes on a virtual machine can migrate to a guest server which consumes smaller electric energy and can be energy-efficiently performed in a cluster. We evaluate the EAMV algorithm compared with non-migration algorithms in terms of the total electric energy consumption and execution time of processes. We show the electric energy consumption and average execution time can be reduced in the EAMV algorithm.
{"title":"A Model for Migration of Virtual Machines to Reduce Electric Energy Consumption","authors":"Dilawaer Duolikun, Ryoma Watanabe, T. Enokido, M. Takizawa","doi":"10.1109/CISIS.2016.121","DOIUrl":"https://doi.org/10.1109/CISIS.2016.121","url":null,"abstract":"We have to reduce the electric energy consumed by servers in a cluster in order to realize eco-society. Types of algorithms for a request process to select an energy-efficient server in a cluster of servers are proposed in our previous studies. Furthermore, algorithms for energy-efficiently migrating a process on a host server to a more energy-efficient guest server is discussed. Virtual machines are now widely used to support applications with virtual computation service in cloud computing systems. Here, a virtual machine can migrate to a guest server, e.g. which is less loaded. By migrating a virtual machine, application processes performed on the virtual machine can also migrate from a host server to another guest server. In this paper, we newly propose an energy-aware migration algorithm of virtual machines (EAMV). Here, processes on a virtual machine can migrate to a guest server which consumes smaller electric energy and can be energy-efficiently performed in a cluster. We evaluate the EAMV algorithm compared with non-migration algorithms in terms of the total electric energy consumption and execution time of processes. We show the electric energy consumption and average execution time can be reduced in the EAMV algorithm.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125053832","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}
T. Wakahara, Toshitaka Maki, Kazuki Takahashi, A. Yamaguchi, Shinichiro Kimoto, Akinori Takagi, Yu Ichifuji, N. Sonehara
This paper presents a new tourism local community system based on the LOD (Linked Open Data). In this study, the tourism-related data are converted into the RDF (Resource Description Framework) data and stored as LOD database in the local community system. N-triple data are generated by parsing the texts and connected to other related terms. Therefore, the relationship could be realized close to the ontology. The prototype system is constructed and the validity of the proposed system is confirmed by the experiments.
{"title":"Tourism Local Community System Using LOD","authors":"T. Wakahara, Toshitaka Maki, Kazuki Takahashi, A. Yamaguchi, Shinichiro Kimoto, Akinori Takagi, Yu Ichifuji, N. Sonehara","doi":"10.1109/CISIS.2016.105","DOIUrl":"https://doi.org/10.1109/CISIS.2016.105","url":null,"abstract":"This paper presents a new tourism local community system based on the LOD (Linked Open Data). In this study, the tourism-related data are converted into the RDF (Resource Description Framework) data and stored as LOD database in the local community system. N-triple data are generated by parsing the texts and connected to other related terms. Therefore, the relationship could be realized close to the ontology. The prototype system is constructed and the validity of the proposed system is confirmed by the experiments.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121310253","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 large number of isomorphic polygons are included in design data of large scale integrated circuit. Fast search and classification for isomorphic polygons in these design data are expected to apply to compactification of design data and fast pattern search. A pattern matching method was proposed to reduce a large amounts of design data efficiently. In this method, feature of polygon shape is expressed by an angle-segment sequence called contour signature. So, this method realizes fast processing by efficient comparison using the contour signature. Furthermore, this method realizes compactification of the design data by hashing of classification results. However, there is a problem that feature amounts increase with increase of the number of vertices of polygons. As a result, computation amounts and memory usage amounts are increased. To solve this problem, in this paper, we propose a high speed and high accuracy classification method of isomorphic polygons. The proposed method can reduce a shape comparison process significantly by using a geometric invariant feature value for a polygon. The feature value is calculated by summation of distance from each vertex to center of gravity, and a polygon contour length. This value does not be affected by parallel shift, rotation and reduced scale. The feature value is same for isomorphic polygons and it is possible to fast access an isomorphic polygon group. From evaluation results of the proposed method, we verified that the proposed method can realize fast classification for isomorphic polygons, and compactification of design data.
{"title":"A Fast Classification Method of Isomorphic Polygons in Design Data of Large Scale Integrated Circuit","authors":"S. Shoji, A. Koyama","doi":"10.1109/CISIS.2016.65","DOIUrl":"https://doi.org/10.1109/CISIS.2016.65","url":null,"abstract":"A large number of isomorphic polygons are included in design data of large scale integrated circuit. Fast search and classification for isomorphic polygons in these design data are expected to apply to compactification of design data and fast pattern search. A pattern matching method was proposed to reduce a large amounts of design data efficiently. In this method, feature of polygon shape is expressed by an angle-segment sequence called contour signature. So, this method realizes fast processing by efficient comparison using the contour signature. Furthermore, this method realizes compactification of the design data by hashing of classification results. However, there is a problem that feature amounts increase with increase of the number of vertices of polygons. As a result, computation amounts and memory usage amounts are increased. To solve this problem, in this paper, we propose a high speed and high accuracy classification method of isomorphic polygons. The proposed method can reduce a shape comparison process significantly by using a geometric invariant feature value for a polygon. The feature value is calculated by summation of distance from each vertex to center of gravity, and a polygon contour length. This value does not be affected by parallel shift, rotation and reduced scale. The feature value is same for isomorphic polygons and it is possible to fast access an isomorphic polygon group. From evaluation results of the proposed method, we verified that the proposed method can realize fast classification for isomorphic polygons, and compactification of design data.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129066068","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. Scionti, P. Ruiu, O. Terzo, L. Spogli, L. Alfonsi, V. Romano
There is a strong relationship between scientific research and technology advancement. The former generally focuses on studying phenomena happening in the real world, the latter improves tools that are at the basis of this research. From this perspective, information and communication technologies allow the implementation of ever faster tools for analyzing data generated by experiments. The aim of DemoGRAPE project is to study the interaction of the upper earth atmosphere and the GNSS (Global Navigation Satellite Systems) signals received at ground, in critical environments such as the polar regions. This paper describes the ICT infrastructure used to manage the software applications used to analyzed data collected during project experimental campaigns, taking into account the following constraints: (i) the intellectual property of the applications must be protected, (ii) the underlying infrastructure resembles a cloud-federation, (iii) data are over-sized, (iv) provide a unified vision of the available resources to the user (i.e., what are the available applications, and where experimental data reside). Leveraging on a lightweight virtualization system, we proposed a management system that copes with all these four constraints. A case study is used to show the process of deploying an application through the proposed system on a specific node where data of interest reside.
{"title":"DemoGRAPE: Managing Scientific Applications in a Cloud-Federated Environment","authors":"A. Scionti, P. Ruiu, O. Terzo, L. Spogli, L. Alfonsi, V. Romano","doi":"10.1109/CISIS.2016.95","DOIUrl":"https://doi.org/10.1109/CISIS.2016.95","url":null,"abstract":"There is a strong relationship between scientific research and technology advancement. The former generally focuses on studying phenomena happening in the real world, the latter improves tools that are at the basis of this research. From this perspective, information and communication technologies allow the implementation of ever faster tools for analyzing data generated by experiments. The aim of DemoGRAPE project is to study the interaction of the upper earth atmosphere and the GNSS (Global Navigation Satellite Systems) signals received at ground, in critical environments such as the polar regions. This paper describes the ICT infrastructure used to manage the software applications used to analyzed data collected during project experimental campaigns, taking into account the following constraints: (i) the intellectual property of the applications must be protected, (ii) the underlying infrastructure resembles a cloud-federation, (iii) data are over-sized, (iv) provide a unified vision of the available resources to the user (i.e., what are the available applications, and where experimental data reside). Leveraging on a lightweight virtualization system, we proposed a management system that copes with all these four constraints. A case study is used to show the process of deploying an application through the proposed system on a specific node where data of interest reside.","PeriodicalId":249236,"journal":{"name":"2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129080912","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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