Social network sites (SNS) play a role of paramount importance in the political landscape and influence the elections' outcomes around the world in an enormous way. As cases in point as for these phenomena, the world has witnessed the 2016 US presidential elections, the Brexit referendum, the yellow vests movement in France and the boycott campaign which took place in Morocco two years ago. In this vein, the citizens of all countries, especially the young ones, have been using social media to share and to get political information as well as to express their opinions, trends and contestations relating to economic, social and political issues as the habitual militating's ways are nowadays unable to make the citizen's expectations heard. The contents and networks structure of parties' candidates and politically engaged users have been used by many researchers to extract political insights that could help to understand the political events developments and to predict their results. Our contribution aims to explore the multiple techniques applied by the different approaches, examine their results in terms of accuracy and political insights and suggest a standard approach that will rely on the advantages of these contributions and standardize the processes of extracting and analyzing the political discourse which could help to decipher the enormous democracy's challenges raised by social media.
{"title":"Democracy in the time of social media: towards a standard approach","authors":"Abderrazzak cherkaoui, O. Beqqali, Salim Alami","doi":"10.1145/3419604.3419801","DOIUrl":"https://doi.org/10.1145/3419604.3419801","url":null,"abstract":"Social network sites (SNS) play a role of paramount importance in the political landscape and influence the elections' outcomes around the world in an enormous way. As cases in point as for these phenomena, the world has witnessed the 2016 US presidential elections, the Brexit referendum, the yellow vests movement in France and the boycott campaign which took place in Morocco two years ago. In this vein, the citizens of all countries, especially the young ones, have been using social media to share and to get political information as well as to express their opinions, trends and contestations relating to economic, social and political issues as the habitual militating's ways are nowadays unable to make the citizen's expectations heard. The contents and networks structure of parties' candidates and politically engaged users have been used by many researchers to extract political insights that could help to understand the political events developments and to predict their results. Our contribution aims to explore the multiple techniques applied by the different approaches, examine their results in terms of accuracy and political insights and suggest a standard approach that will rely on the advantages of these contributions and standardize the processes of extracting and analyzing the political discourse which could help to decipher the enormous democracy's challenges raised by social media.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127709511","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}
Software Defined Networking (SDN) is a new paradigm used in Wide Area Networks and Data Centers. This technology considers two levels: first, the control plane represented by controllers. Those ones are dedicated to the network management and secondly, the data plane devoted to the execution of network functions. Data plane executes the controller instructions and performs routing of packets thanks to switches called forwarding devices. However, the static assignment of switches to controllers may cause problems of network latency resulting from traffic load variations especially in a data center. In this paper, we propose a novel approach based on communication between controllers in order to define the total load of the network and balance it among all controllers according to their capacities. For this, we propose an algorithm assigning switches to controllers in an optimal way. Results obtained confirm the efficiency of the proposed algorithm in terms of network latency.
{"title":"Optimized Switch-Controller Association For Data Center","authors":"Janati Idrissi Mohamed, Mohammed Raiss El-Fenni","doi":"10.1145/3419604.3419753","DOIUrl":"https://doi.org/10.1145/3419604.3419753","url":null,"abstract":"Software Defined Networking (SDN) is a new paradigm used in Wide Area Networks and Data Centers. This technology considers two levels: first, the control plane represented by controllers. Those ones are dedicated to the network management and secondly, the data plane devoted to the execution of network functions. Data plane executes the controller instructions and performs routing of packets thanks to switches called forwarding devices. However, the static assignment of switches to controllers may cause problems of network latency resulting from traffic load variations especially in a data center. In this paper, we propose a novel approach based on communication between controllers in order to define the total load of the network and balance it among all controllers according to their capacities. For this, we propose an algorithm assigning switches to controllers in an optimal way. Results obtained confirm the efficiency of the proposed algorithm in terms of network latency.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116460968","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 aim of this paper is to put into practice a framework we proposed in an earlier work for evaluating on-going decision support systems. The framework serves as a base for a method to compute evaluation criteria scores using an AHP model. The paper also illustrates the automation of this method into a tool to enable GASCO company to choose between two already implemented DSSs in order to reduce IT operating cost. The evaluation covers three axes: Process, outcome and decision maker metrics. The results highlight the importance of using users' learning as a measure to determine DSS success.
{"title":"Evaluating Ongoing Decision Support System: A Case Study","authors":"Khaoula Boukhayma, M. Idrissi, Lamia Benhiba","doi":"10.1145/3419604.3419802","DOIUrl":"https://doi.org/10.1145/3419604.3419802","url":null,"abstract":"The aim of this paper is to put into practice a framework we proposed in an earlier work for evaluating on-going decision support systems. The framework serves as a base for a method to compute evaluation criteria scores using an AHP model. The paper also illustrates the automation of this method into a tool to enable GASCO company to choose between two already implemented DSSs in order to reduce IT operating cost. The evaluation covers three axes: Process, outcome and decision maker metrics. The results highlight the importance of using users' learning as a measure to determine DSS success.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126172954","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}
Salah Eddine Essalhi, Mohammed Raiss El-Fenni, H. Chafnaji
The Internet of Things (IoT) is a paradigm that continues to stir the curiosity of the scientific community, which has been the subject of several research studies in recent years. Formed by a very large number of connected devices, IoT applications generate a huge amount of data to be processed and analyzed taking into account the constraints of latency and energy. Fog computing has proven to be an efficient way to provide computing, management and storage resources through small distributed data centers located at the edge of the network, as close as possible to end-users and connected devices, offering accordingly reduced latency and energy saving. In this context, energy efficiency is one of the parameters that must be emphasized in order to cope with the increased consumption of energy associated with this gigantic volume of data. The proposed work presents a new approach based on a Fog-IoT architecture with the objective of ensuring smart energy management during communication and processing of offloaded tasks in IoT applications while respecting the latency constraint. Experimental results attests the effectiveness of the proposed approach in terms of energy efficiency.
{"title":"Smart Energy Management for Fog-Enabled IoT Network","authors":"Salah Eddine Essalhi, Mohammed Raiss El-Fenni, H. Chafnaji","doi":"10.1145/3419604.3419757","DOIUrl":"https://doi.org/10.1145/3419604.3419757","url":null,"abstract":"The Internet of Things (IoT) is a paradigm that continues to stir the curiosity of the scientific community, which has been the subject of several research studies in recent years. Formed by a very large number of connected devices, IoT applications generate a huge amount of data to be processed and analyzed taking into account the constraints of latency and energy. Fog computing has proven to be an efficient way to provide computing, management and storage resources through small distributed data centers located at the edge of the network, as close as possible to end-users and connected devices, offering accordingly reduced latency and energy saving. In this context, energy efficiency is one of the parameters that must be emphasized in order to cope with the increased consumption of energy associated with this gigantic volume of data. The proposed work presents a new approach based on a Fog-IoT architecture with the objective of ensuring smart energy management during communication and processing of offloaded tasks in IoT applications while respecting the latency constraint. Experimental results attests the effectiveness of the proposed approach in terms of energy efficiency.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126580428","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}
At present, the modernization of public administrations, fostered by technological progress, is leading to a rapid growth in services and information exchange between public administrations (across borders and sectors). Therefore, the heterogeneity and the interoperability of e-government systems represent a real challenges in facilitating these information exchanges, it is then necessary to find a solution to overcome these challenges. The aim of this article is to propose a novel design of government data warehouse based on the ETL process and Service Oriented Architecture. We describe a framework that provides a comprehensive set of interoperability services to help organizations collaborate flexibly and deliver better quality of services.
{"title":"Business Intelligence and SOA Based Architecture for E-government System Interoperability","authors":"Oumkaltoum Barakat, O. Beqqali","doi":"10.1145/3419604.3419790","DOIUrl":"https://doi.org/10.1145/3419604.3419790","url":null,"abstract":"At present, the modernization of public administrations, fostered by technological progress, is leading to a rapid growth in services and information exchange between public administrations (across borders and sectors). Therefore, the heterogeneity and the interoperability of e-government systems represent a real challenges in facilitating these information exchanges, it is then necessary to find a solution to overcome these challenges. The aim of this article is to propose a novel design of government data warehouse based on the ETL process and Service Oriented Architecture. We describe a framework that provides a comprehensive set of interoperability services to help organizations collaborate flexibly and deliver better quality of services.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129211376","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}
Due to the evolution of new information technologies, several courses have been made available on the web via educational platforms, websites, or educational applications. But there is no follow-up for the detection of faults in these online courses which allows the improvement of their quality. In this study, we used online formative assessment to provide useful information to writers of teaching materials to improve their quality and to identify areas for improvement. Based on the learners' responses, we calculated the failure rate per unit, per question and the frequency of false answers per question, which allowed us to detect faults in course material, and to ensure from the effectiveness of the corrective measures carried out by the teaching materials editors based on the information we have talked about, we calculated the failure rate by version of the teaching materials.
{"title":"Use of formative assessment to improve the online teaching materials content quality","authors":"Maryem Zarqtouni, Adil Haddi, H. Allali","doi":"10.1145/3419604.3419808","DOIUrl":"https://doi.org/10.1145/3419604.3419808","url":null,"abstract":"Due to the evolution of new information technologies, several courses have been made available on the web via educational platforms, websites, or educational applications. But there is no follow-up for the detection of faults in these online courses which allows the improvement of their quality. In this study, we used online formative assessment to provide useful information to writers of teaching materials to improve their quality and to identify areas for improvement. Based on the learners' responses, we calculated the failure rate per unit, per question and the frequency of false answers per question, which allowed us to detect faults in course material, and to ensure from the effectiveness of the corrective measures carried out by the teaching materials editors based on the information we have talked about, we calculated the failure rate by version of the teaching materials.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121052112","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}
Aicha bembarka, A. Tribak, Hamza Nachouane, L. Setti
A tunable monopole antenna in the European Union (EU) norms for the Sub-6 GHz band in picocell base stations application is presented in this paper. The antenna has a simple design with a bandpass filter incorporated in its ground plane. The frequency tunability capability of the antenna is achieved by varying varactor diodes capacitance, which leads to changing the effective length of the bandpass filter slots, as a result the operating frequency continuously tuned from 3.4 to 3.8 GHz. The designed antenna is modeled in CST, then verified using HFSS and ADS. The simulated antenna performance is analyzed in detail including the return loss, radiation patterns, and gain. The obtained results show that the developed antenna is very suitable for picocell base stations, especially for the 5G/Sub-6 GHz band.
本文提出了一种符合欧盟标准的可调谐单极天线，用于piccell基站的sub - 6ghz频段。该天线具有简单的设计，在其地平面上集成了带通滤波器。该天线的频率可调谐能力是通过改变变容二极管的电容来实现的，从而改变带通滤波器槽的有效长度，从而使工作频率在3.4 GHz到3.8 GHz之间连续调谐。设计的天线在CST中建模，然后使用HFSS和ADS进行验证，详细分析了模拟天线的回波损耗、辐射方向图和增益等性能。实验结果表明，所研制的天线非常适合于皮蜂窝基站，特别是5G/ sub - 6ghz频段。
{"title":"Tunable Monopole Antenna in the Sub-6 GHz Spectrum for Picocell Base Stations","authors":"Aicha bembarka, A. Tribak, Hamza Nachouane, L. Setti","doi":"10.1145/3419604.3419756","DOIUrl":"https://doi.org/10.1145/3419604.3419756","url":null,"abstract":"A tunable monopole antenna in the European Union (EU) norms for the Sub-6 GHz band in picocell base stations application is presented in this paper. The antenna has a simple design with a bandpass filter incorporated in its ground plane. The frequency tunability capability of the antenna is achieved by varying varactor diodes capacitance, which leads to changing the effective length of the bandpass filter slots, as a result the operating frequency continuously tuned from 3.4 to 3.8 GHz. The designed antenna is modeled in CST, then verified using HFSS and ADS. The simulated antenna performance is analyzed in detail including the return loss, radiation patterns, and gain. The obtained results show that the developed antenna is very suitable for picocell base stations, especially for the 5G/Sub-6 GHz band.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123108915","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}
Mounia Elqortobi, Amine Rahj, J. Bentahar, R. Dssouli
Model-Based Testing (MBT) approaches are becoming an attractive prospect for safety-critical software testing due to their efficiency and the flexibility. Requirements based testing and structural testing are used for safety-critical systems software assessment. Structural testing criteria such as Modified Condition/Decision Coverage (MC/DC) satisfaction are required by DO-178C standard. Existing tools and techniques use MC/DC coverage criterion on the code. We propose to use model-based testing that integrates several coverage criteria such as du-path and MC/DC to enhance testing efficiency. We propose an approach that starts with requirements modeled as an Extended Finite State Machine (EFSM) that will be transformed into graphs, we add special "coverage element" data structures that are integrated into the different models via graph labeling. The resulting transformation facilitates the traceability of testing information when moving from dataflow testing to control-flow testing and vice versa, therefore making the combination of both approaches efficient for specification structural testing. The process view and the architecture of a supporting tool are given as well as the steps needed to generate MC/DC test sequences.
{"title":"Test Generation Tool for Modified Condition/Decision Coverage: Model Based Testing","authors":"Mounia Elqortobi, Amine Rahj, J. Bentahar, R. Dssouli","doi":"10.1145/3419604.3419628","DOIUrl":"https://doi.org/10.1145/3419604.3419628","url":null,"abstract":"Model-Based Testing (MBT) approaches are becoming an attractive prospect for safety-critical software testing due to their efficiency and the flexibility. Requirements based testing and structural testing are used for safety-critical systems software assessment. Structural testing criteria such as Modified Condition/Decision Coverage (MC/DC) satisfaction are required by DO-178C standard. Existing tools and techniques use MC/DC coverage criterion on the code. We propose to use model-based testing that integrates several coverage criteria such as du-path and MC/DC to enhance testing efficiency. We propose an approach that starts with requirements modeled as an Extended Finite State Machine (EFSM) that will be transformed into graphs, we add special \"coverage element\" data structures that are integrated into the different models via graph labeling. The resulting transformation facilitates the traceability of testing information when moving from dataflow testing to control-flow testing and vice versa, therefore making the combination of both approaches efficient for specification structural testing. The process view and the architecture of a supporting tool are given as well as the steps needed to generate MC/DC test sequences.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116612853","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}
Khalid Bahani, Hamza Ali-Ou-Salah, Mohammed Moujabbir, B. Oukarfi, M. Ramdani
The designs of solar energy systems depend mainly on the solar radiation that reaches the earth's surface, as it is difficult to determine the amount of solar radiation precisely due to several climatic, geographical and temporal factors. Therefore, forecasting of solar radiation is necessary before using solar energy systems. In this paper, the researchers present an accuracy MAMDANI fuzzy inference system for solar radiation prediction with meteorological data. This system is based with a two-stage method for Fuzzy Rules Learning through Clustering (FRLC). In the first stage, the subtractive clustering is used to extract the fuzzy rules, the second stage is a linguistic approximation and a refinement of the learned solutions with linguistic hedges. FRLC is compared to multilayer feed-forward neural network and support vector regression. The results of the experiments show the efficacy of linguistic fuzzy rules in the forecasting of solar radiation. In parallel with the prediction, the model provides a good balance between interpretability and accuracy.
{"title":"A Novel Interpretable Model for Solar Radiation Prediction based on Adaptive Fuzzy Clustering and Linguistic Hedges","authors":"Khalid Bahani, Hamza Ali-Ou-Salah, Mohammed Moujabbir, B. Oukarfi, M. Ramdani","doi":"10.1145/3419604.3419807","DOIUrl":"https://doi.org/10.1145/3419604.3419807","url":null,"abstract":"The designs of solar energy systems depend mainly on the solar radiation that reaches the earth's surface, as it is difficult to determine the amount of solar radiation precisely due to several climatic, geographical and temporal factors. Therefore, forecasting of solar radiation is necessary before using solar energy systems. In this paper, the researchers present an accuracy MAMDANI fuzzy inference system for solar radiation prediction with meteorological data. This system is based with a two-stage method for Fuzzy Rules Learning through Clustering (FRLC). In the first stage, the subtractive clustering is used to extract the fuzzy rules, the second stage is a linguistic approximation and a refinement of the learned solutions with linguistic hedges. FRLC is compared to multilayer feed-forward neural network and support vector regression. The results of the experiments show the efficacy of linguistic fuzzy rules in the forecasting of solar radiation. In parallel with the prediction, the model provides a good balance between interpretability and accuracy.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121887934","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 proliferation of Massive Open Online Courses (MOOCs) has generated conflicting opinions about their quality. In this paper, we aim at improving the quality of MOOCs through assisting teachers and designers from the initiation phase of MOOCs. For this purpose, we propose a recommendation system Framework based on the knowledge about teachers and MOOCs. Our approach aims to overcome the problems of traditional recommendation systems, by using and integrating different techniques: modeling via ontologies, semantic web technologies, extracting and integrating Linked Data from different sources, ontology mapping and semantic similarity measures.
{"title":"Recommender System to Support MOOCs Teachers: Framework based on Ontology and Linked Data","authors":"Hanane Sebbaq, N. E. Faddouli, S. Bennani","doi":"10.1145/3419604.3419619","DOIUrl":"https://doi.org/10.1145/3419604.3419619","url":null,"abstract":"The proliferation of Massive Open Online Courses (MOOCs) has generated conflicting opinions about their quality. In this paper, we aim at improving the quality of MOOCs through assisting teachers and designers from the initiation phase of MOOCs. For this purpose, we propose a recommendation system Framework based on the knowledge about teachers and MOOCs. Our approach aims to overcome the problems of traditional recommendation systems, by using and integrating different techniques: modeling via ontologies, semantic web technologies, extracting and integrating Linked Data from different sources, ontology mapping and semantic similarity measures.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122001264","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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