CCS (Cluster Computing System) is coming to solve the problems of standard technology. Whose, objective is to improve the performance/power efficiency of a single processor for storing and mining the large data sets, using the parallel programming to read and process the massive data sets on multiple disks and CPUs. The thing which makes these systems somewhat performant than the standard technology is the physical organization of computing nodes in the cluster. Currently, this kind of cluster does not entirely solve the problem because it comes with its challenges, which are Node failures, Computations, Network Bottleneck, and Distributed programming. All these problems are coming when we are mining and storing the massive volume of data using cluster computing. To solve these challenges, Google invented a new Big Data framework of data processing called MapReduce, to manage large scale data processing across large clusters of commodity servers. The paper outlines the running of CCS and presents its challenges in this era of Big Data. Moreover, it introduces the most popular Big Data solutions proposed to overcome the CCS challenges. Also, it shows how Big Data technologies solve CCS issues. Generally, the main goal of this work is to provide a better understanding of the challenges of CCS and identify the essential big data solutions in this increasingly important area.
{"title":"Big Data Solutions Proposed for Cluster Computing Systems Challenges: A survey","authors":"Fatima Es-Sabery, Abdellatif Hair","doi":"10.1145/3386723.3387826","DOIUrl":"https://doi.org/10.1145/3386723.3387826","url":null,"abstract":"CCS (Cluster Computing System) is coming to solve the problems of standard technology. Whose, objective is to improve the performance/power efficiency of a single processor for storing and mining the large data sets, using the parallel programming to read and process the massive data sets on multiple disks and CPUs. The thing which makes these systems somewhat performant than the standard technology is the physical organization of computing nodes in the cluster. Currently, this kind of cluster does not entirely solve the problem because it comes with its challenges, which are Node failures, Computations, Network Bottleneck, and Distributed programming. All these problems are coming when we are mining and storing the massive volume of data using cluster computing. To solve these challenges, Google invented a new Big Data framework of data processing called MapReduce, to manage large scale data processing across large clusters of commodity servers. The paper outlines the running of CCS and presents its challenges in this era of Big Data. Moreover, it introduces the most popular Big Data solutions proposed to overcome the CCS challenges. Also, it shows how Big Data technologies solve CCS issues. Generally, the main goal of this work is to provide a better understanding of the challenges of CCS and identify the essential big data solutions in this increasingly important area.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127412068","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. E. Moutaouakil, M. Boukendil, Z. Zrikem, A. Abdelbaki
In this paper, the LBM method is used to simulate the natural convective flow and thermal behaviors of air inside a differentially heated cavity containing two inner circular cylinders maintained at different temperatures. Several configurations namely Bh -- TC, BB -- Th, Mh -- MC and MC -- Mh corresponding to different possible arrangements of the two cylinders inside the cavity were analyzed. The results are presented in the form of streamlines and isotherms for a selected range of the Rayleigh number Ra (103-106). The obtained results show that the arrangement of the cylinders inside the cavity considerably affects the flow structure in the cavity.
{"title":"Natural Convection in a Differentially Heated Cavity with a Heated and Cooled Circular Cylinders","authors":"L. E. Moutaouakil, M. Boukendil, Z. Zrikem, A. Abdelbaki","doi":"10.1145/3386723.3387885","DOIUrl":"https://doi.org/10.1145/3386723.3387885","url":null,"abstract":"In this paper, the LBM method is used to simulate the natural convective flow and thermal behaviors of air inside a differentially heated cavity containing two inner circular cylinders maintained at different temperatures. Several configurations namely Bh -- TC, BB -- Th, Mh -- MC and MC -- Mh corresponding to different possible arrangements of the two cylinders inside the cavity were analyzed. The results are presented in the form of streamlines and isotherms for a selected range of the Rayleigh number Ra (103-106). The obtained results show that the arrangement of the cylinders inside the cavity considerably affects the flow structure in the cavity.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122105","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}
Developments in telecommunications technology has opened up the possibility of circumventing intellectual property in the digital world, outside the legal and technical methods proposed for copyright protection, the information retrieval is considered as a computer field helping to protect these rights by proposing methods of search, analysis and comparison for protected documents. This article proposes an approach based on the distributed information retrieval allowing the detection of any unlawful manipulation for copyrighted works. In particular, we propose an architecture of a distributed information retrieval system on a peer-to-peer network as well as the specific architecture of its nodes, in addition, a double indexation (local & distributed) was proposed.
{"title":"A Distributed Information Retrieval Approach for Copyright Protection","authors":"Sonia Benbelgacem, L. Guezouli, Rachid Seghir","doi":"10.1145/3386723.3387882","DOIUrl":"https://doi.org/10.1145/3386723.3387882","url":null,"abstract":"Developments in telecommunications technology has opened up the possibility of circumventing intellectual property in the digital world, outside the legal and technical methods proposed for copyright protection, the information retrieval is considered as a computer field helping to protect these rights by proposing methods of search, analysis and comparison for protected documents. This article proposes an approach based on the distributed information retrieval allowing the detection of any unlawful manipulation for copyrighted works. In particular, we propose an architecture of a distributed information retrieval system on a peer-to-peer network as well as the specific architecture of its nodes, in addition, a double indexation (local & distributed) was proposed.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131060648","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}
Different lower limbs robotic rehabilitation devices are under study to help patients to recover gestures altered, affected or lost after traffic accident injury, illness or disability. Especially ankle because is a complex part of the human skeleton. In this paper we present our contribution to the ankle foot robotic device. We will present our strategy to generate the setpoint trajectory for ankle devices that is based on neural networks. The latter will generate the trajectory of the ankle from the angular position sensors of the hip joint and the knee joint. This gave good results, but we noticed during the tests that the ankle trajectory contained sporadic peaks. This was the case of the right and left ankle. An optimization algorithm is developed to eliminate this phenomenon; it will be presented soon.
{"title":"Ankle gait-pattern generators","authors":"Mohamed Amine Mamou, N. Saadia","doi":"10.1145/3386723.3387833","DOIUrl":"https://doi.org/10.1145/3386723.3387833","url":null,"abstract":"Different lower limbs robotic rehabilitation devices are under study to help patients to recover gestures altered, affected or lost after traffic accident injury, illness or disability. Especially ankle because is a complex part of the human skeleton. In this paper we present our contribution to the ankle foot robotic device. We will present our strategy to generate the setpoint trajectory for ankle devices that is based on neural networks. The latter will generate the trajectory of the ankle from the angular position sensors of the hip joint and the knee joint. This gave good results, but we noticed during the tests that the ankle trajectory contained sporadic peaks. This was the case of the right and left ankle. An optimization algorithm is developed to eliminate this phenomenon; it will be presented soon.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132448681","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}
Recommender systems use algorithms to provide users with product or service recommendations. In recent times, these systems have been using Artificial Intelligence algorithms. However, choosing a suitable AI algorithm for a recommender system is difficult because of the number of algorithms described in the literature. Researchers and practitioners developing recommender systems are left with little information about the current approaches in algorithm usage. Moreover, the development of recommender systems using AI algorithms often faces problems and raises questions that must be resolved. In this context developing recommender system in the medical domain are presented as complementary tools in decision-making processes in healthcare services, it allows to increase the usability of technologies and reduce information overload in processes. This paper presents a systematic review of the literature that analyze the use of AI algorithms in recommender system and identify new research opportunities. The goals of this study are to (i) identify latest trends in the use or research of AI algorithms in recommender system applied in the medical domain;(ii)identify open questions in the use or research of AI algorithms, and (iii)assist new researchers to position new research activity in this domain appropriately.
{"title":"Latest Trends in Recommender Systems applied in the medical domain: A Systematic Review","authors":"O. Stitini, S. Kaloun, O. Bencharef","doi":"10.1145/3386723.3387860","DOIUrl":"https://doi.org/10.1145/3386723.3387860","url":null,"abstract":"Recommender systems use algorithms to provide users with product or service recommendations. In recent times, these systems have been using Artificial Intelligence algorithms. However, choosing a suitable AI algorithm for a recommender system is difficult because of the number of algorithms described in the literature. Researchers and practitioners developing recommender systems are left with little information about the current approaches in algorithm usage. Moreover, the development of recommender systems using AI algorithms often faces problems and raises questions that must be resolved. In this context developing recommender system in the medical domain are presented as complementary tools in decision-making processes in healthcare services, it allows to increase the usability of technologies and reduce information overload in processes. This paper presents a systematic review of the literature that analyze the use of AI algorithms in recommender system and identify new research opportunities. The goals of this study are to (i) identify latest trends in the use or research of AI algorithms in recommender system applied in the medical domain;(ii)identify open questions in the use or research of AI algorithms, and (iii)assist new researchers to position new research activity in this domain appropriately.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"19 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120813752","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}
Over the last decade, the web 2.0 has been shifting the web to turn it into an opinion platform. This results in a large amount of raw data that overwhelms human capacity to extract valuable knowledge without assistance of machines. In real world applications, sentiment analysis faces imbalanced data problem. To tackle this problem, sampling techniques have been proposed. In this paper, we focus on studying the performance of these techniques on Imbalanced Data of Arabic Sentiment. We then conduct a comparative evaluation using Support Vector Machine (SVM), Naive Bayes (NB), and Random Forest (RF) as classification algorithms.
{"title":"Sampling techniques for Arabic Sentiment Classification: A Comparative Study","authors":"H. A. Addi, R. Ezzahir","doi":"10.1145/3386723.3387899","DOIUrl":"https://doi.org/10.1145/3386723.3387899","url":null,"abstract":"Over the last decade, the web 2.0 has been shifting the web to turn it into an opinion platform. This results in a large amount of raw data that overwhelms human capacity to extract valuable knowledge without assistance of machines. In real world applications, sentiment analysis faces imbalanced data problem. To tackle this problem, sampling techniques have been proposed. In this paper, we focus on studying the performance of these techniques on Imbalanced Data of Arabic Sentiment. We then conduct a comparative evaluation using Support Vector Machine (SVM), Naive Bayes (NB), and Random Forest (RF) as classification algorithms.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116145267","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}
Ait Lahcen Yassine, Jali Abdelaziz, El Oirrak Ahmed
In this article, we put forth an approach to build a geometric Islamic pattern, according to a method called Hasba. This kind of geometric pattern is generally found in Moroccan geometric art, adopted by artisans; it is rather suitable for sculpture and painting on wood. It is based on geometric rules and the concept of symmetry. Here we describe step by step the basic approach to create a new model respecting certain rules of the "Hasba" method.
{"title":"Approach of Constructing an Islamic Pattern Respecting the \"HASBA\" Method","authors":"Ait Lahcen Yassine, Jali Abdelaziz, El Oirrak Ahmed","doi":"10.1145/3386723.3387872","DOIUrl":"https://doi.org/10.1145/3386723.3387872","url":null,"abstract":"In this article, we put forth an approach to build a geometric Islamic pattern, according to a method called Hasba. This kind of geometric pattern is generally found in Moroccan geometric art, adopted by artisans; it is rather suitable for sculpture and painting on wood. It is based on geometric rules and the concept of symmetry. Here we describe step by step the basic approach to create a new model respecting certain rules of the \"Hasba\" method.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126483886","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 advent of Internet of Things (IoT) technologies in the 21st century has led to exciting achievements. IoT smart medical devices along with wearables are generating and communicating high volume and high-velocity of heterogeneous data. Consequently, services provided by traditional methods such as cloud computing to manage these data become insufficient. Fog computing is seen as being the most effective solution for IoT-based healthcare. The stringy demand of this model was principally driven by a growing need for real-time analysis and low latency. It is apparently envisioned that the medicine field expects to draw enormous interest in combining IoT and fog computing. This in turn, improved the patient treatment, staff satisfaction, and operational efficiency and showed positive influence on all aspects of healthcare. This paper has reviewed fog computing in the context of medical IoT while comparing it with cloud computing and has attempted to present the three-layer architecture of fog-based healthcare system containing: edge, fog and cloud. It has also highlighted challenges facing IoT-driven healthcare in an ever-changing world.
{"title":"Fog Computing for Smart Healthcare data Analytics: An Urgent Necessity","authors":"Hayat Khaloufi, Karim Abouelmehdi, A. B. Hssane","doi":"10.1145/3386723.3387861","DOIUrl":"https://doi.org/10.1145/3386723.3387861","url":null,"abstract":"The advent of Internet of Things (IoT) technologies in the 21st century has led to exciting achievements. IoT smart medical devices along with wearables are generating and communicating high volume and high-velocity of heterogeneous data. Consequently, services provided by traditional methods such as cloud computing to manage these data become insufficient. Fog computing is seen as being the most effective solution for IoT-based healthcare. The stringy demand of this model was principally driven by a growing need for real-time analysis and low latency. It is apparently envisioned that the medicine field expects to draw enormous interest in combining IoT and fog computing. This in turn, improved the patient treatment, staff satisfaction, and operational efficiency and showed positive influence on all aspects of healthcare. This paper has reviewed fog computing in the context of medical IoT while comparing it with cloud computing and has attempted to present the three-layer architecture of fog-based healthcare system containing: edge, fog and cloud. It has also highlighted challenges facing IoT-driven healthcare in an ever-changing world.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125561674","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}
Nickson M. Karie, V. Kebande, R. Ikuesan, Mehdi Sookhak, H. Venter
Even though the cloud paradigm and its associated services has been adopted in various enterprise applications, there has been major issues with regard to authenticating users' critical data. Single Sign on (SSO) is a user authentication technique through which a server authenticates and allows a user to use a single aspect of login credentials, for example, to access multiple services in the cloud. Even though SSO reduces the number of logins that are needed over heterogeneous environments, the risk that might be associated with the security of SSO might be detrimental if, for example, a Man-in-the Middle (MITM) attacker manages to gain control of the SSO credentials. It is also possible to get the identity of the users who have logged into Active Directory or intranet and this identity can easily be used to log into other web-based applications, and this requires the use of the Security Assertion Mark-up Language (SAML). SAML is basically a standard that allows users to be logged into applications as per their sessions. The problem that this paper addresses is the lack of a proactive technique of hardening cloud-based SAML while combining SSO with a Multi-Factor Authentication (MFA) at the time of writing this paper. The authors have, therefore, proposed an effective approach that unifies SSO with MFA in this context. Based on the base score index conducted over Common Vulnerability Scoring System (CVSS), the architecture proves to be reliable, feasible and with better performance.
{"title":"Hardening SAML by Integrating SSO and Multi-Factor Authentication (MFA) in the Cloud","authors":"Nickson M. Karie, V. Kebande, R. Ikuesan, Mehdi Sookhak, H. Venter","doi":"10.1145/3386723.3387875","DOIUrl":"https://doi.org/10.1145/3386723.3387875","url":null,"abstract":"Even though the cloud paradigm and its associated services has been adopted in various enterprise applications, there has been major issues with regard to authenticating users' critical data. Single Sign on (SSO) is a user authentication technique through which a server authenticates and allows a user to use a single aspect of login credentials, for example, to access multiple services in the cloud. Even though SSO reduces the number of logins that are needed over heterogeneous environments, the risk that might be associated with the security of SSO might be detrimental if, for example, a Man-in-the Middle (MITM) attacker manages to gain control of the SSO credentials. It is also possible to get the identity of the users who have logged into Active Directory or intranet and this identity can easily be used to log into other web-based applications, and this requires the use of the Security Assertion Mark-up Language (SAML). SAML is basically a standard that allows users to be logged into applications as per their sessions. The problem that this paper addresses is the lack of a proactive technique of hardening cloud-based SAML while combining SSO with a Multi-Factor Authentication (MFA) at the time of writing this paper. The authors have, therefore, proposed an effective approach that unifies SSO with MFA in this context. Based on the base score index conducted over Common Vulnerability Scoring System (CVSS), the architecture proves to be reliable, feasible and with better performance.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131257449","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}
B. Ikram, Lotfi El Aachak, Boudhir Anouar Abdelhakim, B. Mohammed
Malwares attacks are becoming increasingly destructive. Hackers target all types of devices from big to the most little ones. Researcher's communities in cybersecurity field are working hard to defend malwares attacks as well as any other malicious activity. In fact, the primary goal is to defend cyberattacks as fast as possible to avoid catastrophic damages. In this paper, we proposed new cybersecurity architecture specialized in malwares attacks defense. This proposal puts together four layers based on malwares behaviors. In addition, we perform malware classifier using malware visualization technique, GIST descriptor features and K-Nearest Neighbor algorithm. The classifier is able to put each input malware image into its corresponding family. Families distribution is been divided by malwares behaviors. For the purpose of attaining speedy malwares classifier, we use Univariate Feature Selection technique to reduce GIST feature. So we succeeded in getting from 320 to only 50 features in less timing with very close accuracy of 97,67%.
{"title":"Speedy and efficient malwares images classifier using reduced GIST features for a new defense guide","authors":"B. Ikram, Lotfi El Aachak, Boudhir Anouar Abdelhakim, B. Mohammed","doi":"10.1145/3386723.3387839","DOIUrl":"https://doi.org/10.1145/3386723.3387839","url":null,"abstract":"Malwares attacks are becoming increasingly destructive. Hackers target all types of devices from big to the most little ones. Researcher's communities in cybersecurity field are working hard to defend malwares attacks as well as any other malicious activity. In fact, the primary goal is to defend cyberattacks as fast as possible to avoid catastrophic damages. In this paper, we proposed new cybersecurity architecture specialized in malwares attacks defense. This proposal puts together four layers based on malwares behaviors. In addition, we perform malware classifier using malware visualization technique, GIST descriptor features and K-Nearest Neighbor algorithm. The classifier is able to put each input malware image into its corresponding family. Families distribution is been divided by malwares behaviors. For the purpose of attaining speedy malwares classifier, we use Univariate Feature Selection technique to reduce GIST feature. So we succeeded in getting from 320 to only 50 features in less timing with very close accuracy of 97,67%.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130363572","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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