IoT increasingly permeates the public area, e.g., in traffic control and public transport. We propose to equip conventional urban objects with IoT technology to transform them into Smart Urban Objects (SUO’s). While there exists some research exploring the potentials, specific solutions to enhance safety for the elderly outdoors are still lacking. The elderly’s safety is threatened due to declim.ng physical conditions. As a consequence, the elderly may be excluded from outdoor activities such as participating in major events. Against this backdrop, we design SUOs for adaptive indications of urban hazards, barrier-free passages and for smart reservation of seats to enhance resting possibilities. We report on our solution using Bluetooth technology for remote sensing of older pedestrians serving as input for the objects’ adaptive capacities. The SUOs have been installed for test purposes on a major event in a larger German city.
{"title":"Smart Urban Objects to Enhance Safe Participation in Major Events for the Elderly","authors":"T. Zimpel, Marvin Hubl","doi":"10.15439/2019F180","DOIUrl":"https://doi.org/10.15439/2019F180","url":null,"abstract":"IoT increasingly permeates the public area, e.g., in traffic control and public transport. We propose to equip conventional urban objects with IoT technology to transform them into Smart Urban Objects (SUO’s). While there exists some research exploring the potentials, specific solutions to enhance safety for the elderly outdoors are still lacking. The elderly’s safety is threatened due to declim.ng physical conditions. As a consequence, the elderly may be excluded from outdoor activities such as participating in major events. Against this backdrop, we design SUOs for adaptive indications of urban hazards, barrier-free passages and for smart reservation of seats to enhance resting possibilities. We report on our solution using Bluetooth technology for remote sensing of older pedestrians serving as input for the objects’ adaptive capacities. The SUOs have been installed for test purposes on a major event in a larger German city.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116943273","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}
New kinds of data collection like GPS-tracking, wearable sensors and mobile apps impose both technical and privacy challanges for medical research. In the MOPS study (Machbarkeitsstudie für Ortsbezogene Parameter und Sensordaten – feasibility study for geocoded parameters and sensor data) we provided 10 participants with a newly developed app and sensors for various physical and environmental parameters. We want to explore the feasibility of the recently established Medical Research Platform (MRP) of the Medical Faculty of the University of Leipzig and similar platforms for this kind of data collection and processing. After briefly describing the Medical Research Platform we report on the technical set-up of the MOPS project in this setting and first practical experiences.
gps追踪、可穿戴传感器和移动应用程序等新型数据收集方式给医学研究带来了技术和隐私方面的挑战。在MOPS研究(machbarkeitsstudy f r Ortsbezogene Parameter und Sensordaten -地理编码参数和传感器数据的可行性研究)中，我们为10名参与者提供了一个新开发的应用程序和用于各种物理和环境参数的传感器。我们想探索最近建立的莱比锡大学医学院医学研究平台(MRP)和类似平台用于此类数据收集和处理的可行性。在简要描述了医学研究平台之后，我们报告了MOPS项目在这种环境下的技术设置和首次实践经验。
{"title":"MOPS - A feasibility study for working with GPS and sensor data in a medical context","authors":"C. Meigen, Mandy Vogel, J. Bumberger","doi":"10.15439/2019F328","DOIUrl":"https://doi.org/10.15439/2019F328","url":null,"abstract":"New kinds of data collection like GPS-tracking, wearable sensors and mobile apps impose both technical and privacy challanges for medical research. In the MOPS study (Machbarkeitsstudie für Ortsbezogene Parameter und Sensordaten – feasibility study for geocoded parameters and sensor data) we provided 10 participants with a newly developed app and sensors for various physical and environmental parameters. We want to explore the feasibility of the recently established Medical Research Platform (MRP) of the Medical Faculty of the University of Leipzig and similar platforms for this kind of data collection and processing. After briefly describing the Medical Research Platform we report on the technical set-up of the MOPS project in this setting and first practical experiences.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127548586","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 older drivers will be increasing therefore, their needs and requirements need to be taken into account when designing in-car user interfaces. Current solutions in car industry tend to use big touch screens for controlling the secondary tasks, such as navigation. These solutions are proved to be very distracting while driving. We present a design of conversational assistant for older drivers to improve secondary-task performance, help with decision making in primary tasks with reduced stress. We conducted a user study in the laboratory (N=7) and gained initial knowledge about how the conversational assistant should support older drivers in secondary tasks. Our exploration revealed potential opportunities for the future design of such in-car assistants.
{"title":"Exploration of older drivers interaction with conversation assistant","authors":"Jakub Berka, L. Chvatal, Z. Míkovec","doi":"10.15439/2019F193","DOIUrl":"https://doi.org/10.15439/2019F193","url":null,"abstract":"The number of older drivers will be increasing therefore, their needs and requirements need to be taken into account when designing in-car user interfaces. Current solutions in car industry tend to use big touch screens for controlling the secondary tasks, such as navigation. These solutions are proved to be very distracting while driving. We present a design of conversational assistant for older drivers to improve secondary-task performance, help with decision making in primary tasks with reduced stress. We conducted a user study in the laboratory (N=7) and gained initial knowledge about how the conversational assistant should support older drivers in secondary tasks. Our exploration revealed potential opportunities for the future design of such in-car assistants.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123804939","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. Yachir, Abdenour Amamra, Badis Djamaa, Ali Zerrouki, A. Amour
Human Activity Recognition (HAR) is an important area of research in ambient intelligence for various contexts such as ambient-assisted living. The existing HAR approaches are mostly based either on vision, mobile or wearable sensors. In this paper, we propose a hybrid approach for HAR by combining three types of sensing technologies, namely: smartphone accelerometer, RGB cameras and ambient sensors. Acceleration and video streams are analyzed using multiclass Support Vector Machine (SVM) and Convolutional Neural Networks, respectively. Such an analysis is improved with the ambient sensing data to assign semantics to human activities using description logic rules. For integration, we design and implement a Framework to address human activity recognition pipeline from the data collection phase until activity recognition and visualization. The various use cases and performance evaluations of the proposed approach show clearly its utility and efficiency in several everyday scenarios.
{"title":"A Deep Learning and Multimodal Ambient Sensing Framework for Human Activity Recognition","authors":"A. Yachir, Abdenour Amamra, Badis Djamaa, Ali Zerrouki, A. Amour","doi":"10.15439/2019F50","DOIUrl":"https://doi.org/10.15439/2019F50","url":null,"abstract":"Human Activity Recognition (HAR) is an important area of research in ambient intelligence for various contexts such as ambient-assisted living. The existing HAR approaches are mostly based either on vision, mobile or wearable sensors. In this paper, we propose a hybrid approach for HAR by combining three types of sensing technologies, namely: smartphone accelerometer, RGB cameras and ambient sensors. Acceleration and video streams are analyzed using multiclass Support Vector Machine (SVM) and Convolutional Neural Networks, respectively. Such an analysis is improved with the ambient sensing data to assign semantics to human activities using description logic rules. For integration, we design and implement a Framework to address human activity recognition pipeline from the data collection phase until activity recognition and visualization. The various use cases and performance evaluations of the proposed approach show clearly its utility and efficiency in several everyday scenarios.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114250403","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}
Knowledge represented in the semantic network, especially in the Semantic Web, can be expressed in attributive language AL. Expressions of this language are interpreted in different theories of information granules: set theory, probability theory, possible data sets in the evidence systems, shadowed sets, fuzzy sets or rough sets. In order to unify the interpretations of expressions for different theories, it is assumed that expressions of the $AL$ language can be interpreted in a chosen relational system called a granule system. In this paper, it is proposed to use information granule database and it is also demonstrated that this database can be induced by the measurement system of the adequacy of information retrieval, called a perceptual system. It can simplify previous formal description of the information granule system significantly. This paper also shows some examples of inducing rough and fuzzy granule databases by some perceptual systems.
{"title":"Information granule system induced by a perceptual system","authors":"Anna Bryniarska","doi":"10.15439/2019F147","DOIUrl":"https://doi.org/10.15439/2019F147","url":null,"abstract":"Knowledge represented in the semantic network, especially in the Semantic Web, can be expressed in attributive language AL. Expressions of this language are interpreted in different theories of information granules: set theory, probability theory, possible data sets in the evidence systems, shadowed sets, fuzzy sets or rough sets. In order to unify the interpretations of expressions for different theories, it is assumed that expressions of the $AL$ language can be interpreted in a chosen relational system called a granule system. In this paper, it is proposed to use information granule database and it is also demonstrated that this database can be induced by the measurement system of the adequacy of information retrieval, called a perceptual system. It can simplify previous formal description of the information granule system significantly. This paper also shows some examples of inducing rough and fuzzy granule databases by some perceptual systems.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121909297","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 this paper, we explain the development of a new Mizar tokenizer and parser program as a component of a search system that works on the Mizar Mathematical Library. The existing Mizar tokenizer and parser can handle only an article as a whole written in the Mizar language, however, the newly developed program can deal with a snippet of a Mizar article.In particular, since it is possible to handle a snippet of an article without specifying a vocabulary section of an environment part, it is expected that user input efforts will be greatly reduced.
{"title":"Development of a Flexible Mizar Tokenizer and Parser for Information Retrieval System","authors":"Kazuhisa Nakasho","doi":"10.15439/2019F151","DOIUrl":"https://doi.org/10.15439/2019F151","url":null,"abstract":"In this paper, we explain the development of a new Mizar tokenizer and parser program as a component of a search system that works on the Mizar Mathematical Library. The existing Mizar tokenizer and parser can handle only an article as a whole written in the Mizar language, however, the newly developed program can deal with a snippet of a Mizar article.In particular, since it is possible to handle a snippet of an article without specifying a vocabulary section of an environment part, it is expected that user input efforts will be greatly reduced.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128232930","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}
Many governments worldwide are taking advantage of the latest developments in mobile technology to take the digital delivery of government information and services (e-government) to their citizens a stage further. Accessing government information and services via a mobile device is known as m-government, a system designed to serve citizens, companies and government agencies alike. M-government also has unique advantages over e-government, not least enabling users to access government services at any time and from any location. This paper presents a pilot study of the MGAUM model that was developed to analyze factors influencing the adoption rate of m-government services in Saudi Arabia. With the aim of validating a survey instrument with which to conduct the main study in Saudi Arabia, a pilot survey instrument was developed and modified by using previous instruments from research into both e-government and m-government. This pilot questionnaire was distributed to 71 Saudi citizens in the UK, and the final sample was 58 valid responses. The results of this pilot study reveal that all items in the survey instrument were reliable and valid within the range of acceptable academic research and suitable for use in the main study. The results of this pilot study were analyzed using SPSS.
{"title":"Developing a Model and Validating an Instrument for Measuring the Adoption and Utilisation of Mobile Government Services Adoption in Saudi Arabia","authors":"Mohammed Alonazi, N. Beloff, Martin White","doi":"10.15439/2019F43","DOIUrl":"https://doi.org/10.15439/2019F43","url":null,"abstract":"Many governments worldwide are taking advantage of the latest developments in mobile technology to take the digital delivery of government information and services (e-government) to their citizens a stage further. Accessing government information and services via a mobile device is known as m-government, a system designed to serve citizens, companies and government agencies alike. M-government also has unique advantages over e-government, not least enabling users to access government services at any time and from any location. This paper presents a pilot study of the MGAUM model that was developed to analyze factors influencing the adoption rate of m-government services in Saudi Arabia. With the aim of validating a survey instrument with which to conduct the main study in Saudi Arabia, a pilot survey instrument was developed and modified by using previous instruments from research into both e-government and m-government. This pilot questionnaire was distributed to 71 Saudi citizens in the UK, and the final sample was 58 valid responses. The results of this pilot study reveal that all items in the survey instrument were reliable and valid within the range of acceptable academic research and suitable for use in the main study. The results of this pilot study were analyzed using SPSS.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128692531","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. Opaliński, K. Regulski, B. Mrzygłód, M. Glowacki, A. Kania, P. Nastalek, N. Celejewska-Wójcik, G. Bochenek, K. Sładek
The paper presents the implementation and use of the IT system implemented in the Department of Pulmonology of The University Hospital in Cracow. The system integrates data from heterogeneous sources of therapy, diagnosis and medical test results of patients with Obstructive Sleep Apnea (OSA). The article presents the main architectural assumptions of the system, as well as an example of data mining analyzes based on the data served by the system. The example of the research aims to present the possibilities offered by the integration of clinical data in telemedicine and the diagnosis of patients with sleep disordered breathing that may lead to certain comorbidities and premature death.
{"title":"Medical data exploration based on the heterogeneous data sources aggregation system","authors":"A. Opaliński, K. Regulski, B. Mrzygłód, M. Glowacki, A. Kania, P. Nastalek, N. Celejewska-Wójcik, G. Bochenek, K. Sładek","doi":"10.15439/2019F258","DOIUrl":"https://doi.org/10.15439/2019F258","url":null,"abstract":"The paper presents the implementation and use of the IT system implemented in the Department of Pulmonology of The University Hospital in Cracow. The system integrates data from heterogeneous sources of therapy, diagnosis and medical test results of patients with Obstructive Sleep Apnea (OSA). The article presents the main architectural assumptions of the system, as well as an example of data mining analyzes based on the data served by the system. The example of the research aims to present the possibilities offered by the integration of clinical data in telemedicine and the diagnosis of patients with sleep disordered breathing that may lead to certain comorbidities and premature death.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129738727","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}
Image stitching refers to the process of combining multiple images of the same scene to produce a single high-resolution image, known as panorama stitching. The aim of this paper is to produce a high-quality stitched panorama image with less computation time. This is achieved by proposing four combinations of algorithms. First combination includes FAST corner detector, Brute Force K-Nearest Neighbor (KNN) and Random Sample Consensus (RANSAC). Second combination includes FAST, Brute Force (KNN) and Progressive Sample Consensus (PROSAC). Third combination includes ORB, Brute Force (KNN) and RANSAC. Fourth combination contains ORB, Brute Force (KNN) and PROSAC. Next, each combination involves a calculation of Transformation Matrix. The results demonstrated that the fourth combination produced a panoramic image with the highest performance and better quality compared to other combinations. The processing time is reduced by 67% for the third combination and by 68% for the fourth combination compared to stat-of-the-art.
图像拼接是指将同一场景的多幅图像组合成一张高分辨率图像的过程，称为全景拼接。本文的目标是用更少的计算时间生成高质量的拼接全景图像。这是通过提出四种算法组合来实现的。第一种组合包括FAST角检测器、KNN (Brute Force K-Nearest Neighbor)和RANSAC (Random Sample Consensus)。第二种组合包括FAST, Brute Force (KNN)和Progressive Sample Consensus (PROSAC)。第三种组合包括ORB、Brute Force (KNN)和RANSAC。第四种组合包含ORB、Brute Force (KNN)和PROSAC。接下来，每个组合都涉及到变换矩阵的计算。结果表明，与其他组合相比，第四种组合产生的全景图像具有最高的性能和更好的质量。与最先进的组合相比，第三种组合的处理时间减少了67%，第四种组合的处理时间减少了68%。
{"title":"Creating See-Around Scenes using Panorama Stitching","authors":"Saja Alferidah, Nora Alkhaldi","doi":"10.15439/2019F282","DOIUrl":"https://doi.org/10.15439/2019F282","url":null,"abstract":"Image stitching refers to the process of combining multiple images of the same scene to produce a single high-resolution image, known as panorama stitching. The aim of this paper is to produce a high-quality stitched panorama image with less computation time. This is achieved by proposing four combinations of algorithms. First combination includes FAST corner detector, Brute Force K-Nearest Neighbor (KNN) and Random Sample Consensus (RANSAC). Second combination includes FAST, Brute Force (KNN) and Progressive Sample Consensus (PROSAC). Third combination includes ORB, Brute Force (KNN) and RANSAC. Fourth combination contains ORB, Brute Force (KNN) and PROSAC. Next, each combination involves a calculation of Transformation Matrix. The results demonstrated that the fourth combination produced a panoramic image with the highest performance and better quality compared to other combinations. The processing time is reduced by 67% for the third combination and by 68% for the fourth combination compared to stat-of-the-art.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"412 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123864888","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}
Stephan Balduin, Frauke Oest, Marita Blank-Babazadeh, Astrid Nieße, S. Lehnhoff
Surrogate models have proved to be a suitable replacement for complex simulation models in various applications. Runtime considerations, complexity reduction, and privacy concerns play a role in the decision to use a surrogate model. The choice of an appropriate surrogate model though is often tedious and largely dependent on the individual model properties. A tool can help to facilitate this process. To this end, we present a surrogate modeling process supporting tool that simplifies the process of generation and application of surrogate models in a co-simulation framework. We evaluate the tool in our application context, energy system co-simulation, and apply it to different simulation models from that domain with a focus on decentralized energy units.
{"title":"Tool-assisted Surrogate Selection for Simulation Models in Energy Systems","authors":"Stephan Balduin, Frauke Oest, Marita Blank-Babazadeh, Astrid Nieße, S. Lehnhoff","doi":"10.15439/2019F242","DOIUrl":"https://doi.org/10.15439/2019F242","url":null,"abstract":"Surrogate models have proved to be a suitable replacement for complex simulation models in various applications. Runtime considerations, complexity reduction, and privacy concerns play a role in the decision to use a surrogate model. The choice of an appropriate surrogate model though is often tedious and largely dependent on the individual model properties. A tool can help to facilitate this process. To this end, we present a surrogate modeling process supporting tool that simplifies the process of generation and application of surrogate models in a co-simulation framework. We evaluate the tool in our application context, energy system co-simulation, and apply it to different simulation models from that domain with a focus on decentralized energy units.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114766140","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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