Pub Date : 2015-07-20DOI: 10.1109/HPCSim.2015.7237078
Abderrahim Ait Wakrime, Sébastien Limet, S. Robert
An interactive scientific visualization application is constructed from different codes to implement simulation, data treatment, visualization and interaction parts. The application construction requires support for the assembly of the different parts considering their heterogeneity in the one hand and the need to achieve an efficient application to be run in real time on the other hand. Component-based approach is an interesting paradigm to handle such applications. Moreover in a context of visual analytics, some applications need to be dynamically reconfigured since some components as analysis steps are not persistent and need to be restarted or stopped on the fly. This paper describes a reconfiguration process for ComSA applications, a component based approach dedicated to interactive scientific visualization applications that relies on an exogenous coordination model. This process enables the reconfiguration of running applications. It aims to minimize the number of stopped components during the reconfiguration phase while avoiding the application to crash. It uses the properties of the coordination model to circumscribe the part of the application impacted by the reconfiguration. This region is safely paused, then modified and finally restarted.
{"title":"On the fly reconfiguration of interactive scientific visualization applications","authors":"Abderrahim Ait Wakrime, Sébastien Limet, S. Robert","doi":"10.1109/HPCSim.2015.7237078","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237078","url":null,"abstract":"An interactive scientific visualization application is constructed from different codes to implement simulation, data treatment, visualization and interaction parts. The application construction requires support for the assembly of the different parts considering their heterogeneity in the one hand and the need to achieve an efficient application to be run in real time on the other hand. Component-based approach is an interesting paradigm to handle such applications. Moreover in a context of visual analytics, some applications need to be dynamically reconfigured since some components as analysis steps are not persistent and need to be restarted or stopped on the fly. This paper describes a reconfiguration process for ComSA applications, a component based approach dedicated to interactive scientific visualization applications that relies on an exogenous coordination model. This process enables the reconfiguration of running applications. It aims to minimize the number of stopped components during the reconfiguration phase while avoiding the application to crash. It uses the properties of the coordination model to circumscribe the part of the application impacted by the reconfiguration. This region is safely paused, then modified and finally restarted.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127838435","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237054
Karim Elsayed, Nesrine Amin Elessawy, A. El-Shenawy
This paper propose a Simulink model for Wireless Power transfer to emulate the effect of air gap and the distance, misalignment, noise and harmonic. This model is based on practical neural Network weight matrix where it read the value of output voltage from the transmitter coil and then calculates the voltage produced in the received coil with taken in consideration the circuit configuration variable as capacitor, inductor, and number of turns. The frequency in the receiver part is controlled by an adaptive filter where the band width of operating frequency is very large and contains a lot of noise otherwise known it is very important for the accuracy of neural network. The system is tested in simulation and the hardware set up and showed acceptable performance illustrated by presented experiments.
{"title":"Wireless Power transfer system modelling based on neural Network with adaptive filtering","authors":"Karim Elsayed, Nesrine Amin Elessawy, A. El-Shenawy","doi":"10.1109/HPCSim.2015.7237054","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237054","url":null,"abstract":"This paper propose a Simulink model for Wireless Power transfer to emulate the effect of air gap and the distance, misalignment, noise and harmonic. This model is based on practical neural Network weight matrix where it read the value of output voltage from the transmitter coil and then calculates the voltage produced in the received coil with taken in consideration the circuit configuration variable as capacitor, inductor, and number of turns. The frequency in the receiver part is controlled by an adaptive filter where the band width of operating frequency is very large and contains a lot of noise otherwise known it is very important for the accuracy of neural network. The system is tested in simulation and the hardware set up and showed acceptable performance illustrated by presented experiments.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128775407","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237110
S. Petit
Simulation of many-core HPC systems is nowadays an active and fruitful area of research. Recent and future proposals are driven by the need of a fast, efficient, and comprehensive simulation framework. This simulation framework should be complete in several ways. First, it should model a wide range of components and provide the mechanisms necessary to plug-in more components as needed. Second, it should allow the designer to focus on critical components while avoiding a large part of the simulation complexity. Each of these components should be able to be evaluated with multiple models with distinct detail levels, ranging from simply analytical models to detailed cycle-accurate simulations. Third, a complete simulation framework should provide a wide range of metrics of interest for the designer and the market. Finally, support for heterogeneous architectures combining CPU and GPU, as well as some degree of reconfigurability is surely required. Building such titanic framework is and will be a collaborative process between researchers around the globe and it is expected to be a hot research topic for the next years.
{"title":"Current challenges in simulations of HPC systems","authors":"S. Petit","doi":"10.1109/HPCSim.2015.7237110","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237110","url":null,"abstract":"Simulation of many-core HPC systems is nowadays an active and fruitful area of research. Recent and future proposals are driven by the need of a fast, efficient, and comprehensive simulation framework. This simulation framework should be complete in several ways. First, it should model a wide range of components and provide the mechanisms necessary to plug-in more components as needed. Second, it should allow the designer to focus on critical components while avoiding a large part of the simulation complexity. Each of these components should be able to be evaluated with multiple models with distinct detail levels, ranging from simply analytical models to detailed cycle-accurate simulations. Third, a complete simulation framework should provide a wide range of metrics of interest for the designer and the market. Finally, support for heterogeneous architectures combining CPU and GPU, as well as some degree of reconfigurability is surely required. Building such titanic framework is and will be a collaborative process between researchers around the globe and it is expected to be a hot research topic for the next years.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121572425","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237064
E. Kresch
This paper presents a comparison of the performance between a hexagonal network and a rectangular network under similar conditions. It also presents a comparison of performance of data transmission among cores between a proposed technique and a more standard technique. A hexagonal arrangement was used in the hopes that the additional connectivity would provide an increase in performance. An increase in performance was found, but only a modest one. The proposed technique does quite well at low injection rates compared with the standard technique, but not so well at high injection rates.
{"title":"Comparison of hexagonal and rectangular processor arrays","authors":"E. Kresch","doi":"10.1109/HPCSim.2015.7237064","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237064","url":null,"abstract":"This paper presents a comparison of the performance between a hexagonal network and a rectangular network under similar conditions. It also presents a comparison of performance of data transmission among cores between a proposed technique and a more standard technique. A hexagonal arrangement was used in the hopes that the additional connectivity would provide an increase in performance. An increase in performance was found, but only a modest one. The proposed technique does quite well at low injection rates compared with the standard technique, but not so well at high injection rates.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121592567","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237028
A. Gholami, J. Dowling, E. Laure
Biobanks store genomic material from identifiable individuals. Recently many population-based studies have started sequencing genomic data from biobank samples and cross-linking the genomic data with clinical data, with the goal of discovering new insights into disease and clinical treatments. However, the use of genomic data for research has far-reaching implications for privacy and the relations between individuals and society. In some jurisdictions, primarily in Europe, new laws are being or have been introduced to legislate for the protection of sensitive data relating to individuals, and biobank-specific laws have even been designed to legislate for the handling of genomic data and the clear definition of roles and responsibilities for the owners and processors of genomic data. This paper considers the security questions raised by these developments. We introduce a new threat model that enables the design of cloud-based systems for handling genomic data according to privacy legislation. We also describe the design and implementation of a security framework using our threat model for BiobankCloud, a platform that supports the secure storage and processing of genomic data in cloud computing environments.
{"title":"A security framework for population-scale genomics analysis","authors":"A. Gholami, J. Dowling, E. Laure","doi":"10.1109/HPCSim.2015.7237028","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237028","url":null,"abstract":"Biobanks store genomic material from identifiable individuals. Recently many population-based studies have started sequencing genomic data from biobank samples and cross-linking the genomic data with clinical data, with the goal of discovering new insights into disease and clinical treatments. However, the use of genomic data for research has far-reaching implications for privacy and the relations between individuals and society. In some jurisdictions, primarily in Europe, new laws are being or have been introduced to legislate for the protection of sensitive data relating to individuals, and biobank-specific laws have even been designed to legislate for the handling of genomic data and the clear definition of roles and responsibilities for the owners and processors of genomic data. This paper considers the security questions raised by these developments. We introduce a new threat model that enables the design of cloud-based systems for handling genomic data according to privacy legislation. We also describe the design and implementation of a security framework using our threat model for BiobankCloud, a platform that supports the secure storage and processing of genomic data in cloud computing environments.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114285961","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237074
Pierre Schweitzer, C. Mazel, D. Hill, C. Cârloganu
Physics simulations are known to be great resources exhausters (CPU, memory). Hardware acceleration can help reduce the need for CPU time and increase the available memory bandwidth. In this paper, we present the performance gain when running a memory-bound muon Monte Carlo simulation on an Intel Xeon Phi and an Intel Xeon CPU. We show how to increase performance on the Xeon Phi without modifying the Physics software frameworks we are using for our application. We investigate distributed simulations on multicore and manycore systems and also the impact of hyper-threading on performance. We extend this to a hybrid computing model, balancing the computing burden between both the manycore and multicore processors of a computing node. Finally, we improved memory usage on the Xeon Phi by sharing Kernel Memory pages using KSM, and we show that, using this approach, we can run 16% more simulation instances.
{"title":"Performance analysis with a memory-bound Monte Carlo simulation on Xeon Phi","authors":"Pierre Schweitzer, C. Mazel, D. Hill, C. Cârloganu","doi":"10.1109/HPCSim.2015.7237074","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237074","url":null,"abstract":"Physics simulations are known to be great resources exhausters (CPU, memory). Hardware acceleration can help reduce the need for CPU time and increase the available memory bandwidth. In this paper, we present the performance gain when running a memory-bound muon Monte Carlo simulation on an Intel Xeon Phi and an Intel Xeon CPU. We show how to increase performance on the Xeon Phi without modifying the Physics software frameworks we are using for our application. We investigate distributed simulations on multicore and manycore systems and also the impact of hyper-threading on performance. We extend this to a hybrid computing model, balancing the computing burden between both the manycore and multicore processors of a computing node. Finally, we improved memory usage on the Xeon Phi by sharing Kernel Memory pages using KSM, and we show that, using this approach, we can run 16% more simulation instances.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121875121","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237096
S. Mocavero, A. Nigro, Arianna Resta, C. Rosato, Giacomo Sciolti, I. Epicoco, G. Aloisio
COSMO-CLM is a non-hydrostatic parallel atmospheric model, developed by the CLM-Community starting from the Local Model (LM) of the German Weather Service. Since 2005, it is the reference model used by the german researchers for the climate studies on different temporal scales (from few to hundreds of years) with a spatial resolution from 1 up to 50 kilometers. It is also used and developed from other meteorological research centres belonging to the Consortium for Small-scale Modelling (COSMO). The present work is focused on the analysis of the CCLM model from the computational point of view. The main goal is to verify if the model can be optimised by means of an appropriate tuning of the input parameters, to identify the performance bottlenecks and to suggest possible approaches for a further code optimisation. We started analysing if the strong scalability (which measures the improvement factor due to the parallelism given a fixed domain size) can be improved acting on some parameters such as the subdomain shape, the number of processes dedicated to the I/O operations, the output frequency and the communication strategies. Then we profiled the code to highlight the bottlenecks to the scalability and finally we performed a detailed performance analysis of the main kernels using the roofline model.
{"title":"Performance analysis of the COSMO-CLM model","authors":"S. Mocavero, A. Nigro, Arianna Resta, C. Rosato, Giacomo Sciolti, I. Epicoco, G. Aloisio","doi":"10.1109/HPCSim.2015.7237096","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237096","url":null,"abstract":"COSMO-CLM is a non-hydrostatic parallel atmospheric model, developed by the CLM-Community starting from the Local Model (LM) of the German Weather Service. Since 2005, it is the reference model used by the german researchers for the climate studies on different temporal scales (from few to hundreds of years) with a spatial resolution from 1 up to 50 kilometers. It is also used and developed from other meteorological research centres belonging to the Consortium for Small-scale Modelling (COSMO). The present work is focused on the analysis of the CCLM model from the computational point of view. The main goal is to verify if the model can be optimised by means of an appropriate tuning of the input parameters, to identify the performance bottlenecks and to suggest possible approaches for a further code optimisation. We started analysing if the strong scalability (which measures the improvement factor due to the parallelism given a fixed domain size) can be improved acting on some parameters such as the subdomain shape, the number of processes dedicated to the I/O operations, the output frequency and the communication strategies. Then we profiled the code to highlight the bottlenecks to the scalability and finally we performed a detailed performance analysis of the main kernels using the roofline model.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128089438","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237069
Asma ElAdel, R. Ejbali, M. Zaied, C. Amar
This paper presents a new scheme for image classification. The proposed scheme depicts a shallow architecture of Convolutional Neural Network (CNN) providing deep learning: For each image, we calculated the connection weights between the input layer and the hidden layer based on MultiResolution Analysis (MRA) at different levels of abstraction. Then, we selected the best features, representing well each class of images, with their corresponding weights using Adaboost algorithm. These weights are used as the connection weights between the hidden layer and the output layer, and will be used in the test phase to classify a given query image. The proposed approach was tested on different datasets and the obtained results prove the efficiency and the speed of the proposed approach.
{"title":"Deep learning with shallow architecture for image classification","authors":"Asma ElAdel, R. Ejbali, M. Zaied, C. Amar","doi":"10.1109/HPCSim.2015.7237069","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237069","url":null,"abstract":"This paper presents a new scheme for image classification. The proposed scheme depicts a shallow architecture of Convolutional Neural Network (CNN) providing deep learning: For each image, we calculated the connection weights between the input layer and the hidden layer based on MultiResolution Analysis (MRA) at different levels of abstraction. Then, we selected the best features, representing well each class of images, with their corresponding weights using Adaboost algorithm. These weights are used as the connection weights between the hidden layer and the output layer, and will be used in the test phase to classify a given query image. The proposed approach was tested on different datasets and the obtained results prove the efficiency and the speed of the proposed approach.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114381472","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237115
S. Klous
We live in a time where borders between organizations are vanishing. A time where division equals multiplication. Where Open Source is the new alternative for a patent application. And in a time where Big Data offers new ways to add value to business and society. Such a time requires new ways of collaboration and organization of partners in the value chain. What we need is ecosystems that assure responsible application of data analysis and stimulate quality and innovation. In such a way that participants can easily plug in and out.
{"title":"A new reality requiers new ecosystems","authors":"S. Klous","doi":"10.1109/HPCSim.2015.7237115","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237115","url":null,"abstract":"We live in a time where borders between organizations are vanishing. A time where division equals multiplication. Where Open Source is the new alternative for a patent application. And in a time where Big Data offers new ways to add value to business and society. Such a time requires new ways of collaboration and organization of partners in the value chain. What we need is ecosystems that assure responsible application of data analysis and stimulate quality and innovation. In such a way that participants can easily plug in and out.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114524798","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 : 2015-07-20DOI: 10.1109/HPCSim.2015.7237052
V. Zeljkovic, C. Tameze, D. Pochan, Yingchao Chen, V. Valev
Nanoparticles represent material particles in which one dimension measures ~100 nanometers or less. When processed into nanoparticles, the properties of many conventional organic and inorganic materials change. Since nanoparticles can be made from organic or inorganic substances, they are versatile in potential technological applications, from delicate electronics to revolutionary medical procedures. While an average structure and size is clear from characterization measurements and observations there is always a dispersity in size and shape of the final nanoparticle system. Even though microscopy is an excellent technique in capturing direct images of the nanoparticle morphology, it is difficult to assess the dispersity in size and shape of the nanostructure simply by observation of the microscopy data. This is why we propose a computer-assisted tool developed for the purpose of facilitated nanoparticle detection and its morphology identification.
{"title":"Automated nanostructure microscopic image characterization and analysis","authors":"V. Zeljkovic, C. Tameze, D. Pochan, Yingchao Chen, V. Valev","doi":"10.1109/HPCSim.2015.7237052","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237052","url":null,"abstract":"Nanoparticles represent material particles in which one dimension measures ~100 nanometers or less. When processed into nanoparticles, the properties of many conventional organic and inorganic materials change. Since nanoparticles can be made from organic or inorganic substances, they are versatile in potential technological applications, from delicate electronics to revolutionary medical procedures. While an average structure and size is clear from characterization measurements and observations there is always a dispersity in size and shape of the final nanoparticle system. Even though microscopy is an excellent technique in capturing direct images of the nanoparticle morphology, it is difficult to assess the dispersity in size and shape of the nanostructure simply by observation of the microscopy data. This is why we propose a computer-assisted tool developed for the purpose of facilitated nanoparticle detection and its morphology identification.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"506 Pt B 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126045482","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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