Pub Date : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379218
Eva Lieskovská, Maroš Jakubec, R. Jarina
Nowadays, speech emotion recognition is a promising area of research mainly for human-computer interaction. Emotions play significant role in educational process. E-learning such as online classes or student-computer interaction setting may require monitoring of emotional state of students, due to the maintaining of quality of provided education. Thus, automatic speech emotion recognition represents a powerful tool for this purpose. The following paper provides an overview of speech emotion recognition and related works. A comparison of various forms of recurrent networks (LSTM, LSTM with peephole connections, GRU) and recognition accuracy on IEMOCAP database is also presented.
{"title":"Speech Emotion Recognition Overview and Experimental Results","authors":"Eva Lieskovská, Maroš Jakubec, R. Jarina","doi":"10.1109/ICETA51985.2020.9379218","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379218","url":null,"abstract":"Nowadays, speech emotion recognition is a promising area of research mainly for human-computer interaction. Emotions play significant role in educational process. E-learning such as online classes or student-computer interaction setting may require monitoring of emotional state of students, due to the maintaining of quality of provided education. Thus, automatic speech emotion recognition represents a powerful tool for this purpose. The following paper provides an overview of speech emotion recognition and related works. A comparison of various forms of recurrent networks (LSTM, LSTM with peephole connections, GRU) and recognition accuracy on IEMOCAP database is also presented.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375139","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379251
M. Jakubik, P. Počta
The COVID-19 pandemic has been one of the biggest disruptions to education that the world has ever experienced, affecting the most of the world student population. Many countries turned to online based distance education to ensure that learning never stops. As a consequence, throughout the globe there has been an increasing trend among the students to use different broadcasting systems and web-casting applications for the purpose of online learning. However, the video or audio quality that these various applications offer will be the key factor for their acceptance, i.e. whether or not the students will be willing to use those systems for online learning. Therefore, a machine learning technique, i.e. Genetic Programming, is used in this work for the purpose of assessing audio quality using an objective approach. A design and performance evaluation of the parametric models estimating the audio quality perceived by the end user of broadcasting systems and web-casting applications are presented in this paper. To estimate the quality of audio broadcasting systems and web-casting applications, a set of parameters influencing the quality is used as an input for the developed parametric quality estimation models. The results obtained by the developed parametric audio quality estimation models have validated Genetic Programming as a powerful technique, providing a good accuracy and generalization capabilities. This makes it a possible candidate for the estimation of audio quality perceived by the end user in the context of the broadcasting systems and web-casting applications.
{"title":"Parametric audio quality estimation models for broadcasting systems and web-casting applications based on the Genetic Programming","authors":"M. Jakubik, P. Počta","doi":"10.1109/ICETA51985.2020.9379251","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379251","url":null,"abstract":"The COVID-19 pandemic has been one of the biggest disruptions to education that the world has ever experienced, affecting the most of the world student population. Many countries turned to online based distance education to ensure that learning never stops. As a consequence, throughout the globe there has been an increasing trend among the students to use different broadcasting systems and web-casting applications for the purpose of online learning. However, the video or audio quality that these various applications offer will be the key factor for their acceptance, i.e. whether or not the students will be willing to use those systems for online learning. Therefore, a machine learning technique, i.e. Genetic Programming, is used in this work for the purpose of assessing audio quality using an objective approach. A design and performance evaluation of the parametric models estimating the audio quality perceived by the end user of broadcasting systems and web-casting applications are presented in this paper. To estimate the quality of audio broadcasting systems and web-casting applications, a set of parameters influencing the quality is used as an input for the developed parametric quality estimation models. The results obtained by the developed parametric audio quality estimation models have validated Genetic Programming as a powerful technique, providing a good accuracy and generalization capabilities. This makes it a possible candidate for the estimation of audio quality perceived by the end user in the context of the broadcasting systems and web-casting applications.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125439238","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379226
O. Kováč, E. Pietriková
Motion sensors have been used in a number of diverse applications recently. They can be found in aviation, virtual reality, robotics, medicine, advanced scientific research or even on our bodies. With this growing presence of motion sensors in the field of information technology, problems related to working with them seamlessly have appeared. One of major issues stems from technological differences between sensors and requires their users to implement sensorspecific software logic independently for every sensor used. This paper aims at solving the problem described by proposing a solution designed to integrate this logic into an application programming interface for straightforward work with motion sensors.
{"title":"API for Communication between Motion Sensors and Raspberry Pi","authors":"O. Kováč, E. Pietriková","doi":"10.1109/ICETA51985.2020.9379226","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379226","url":null,"abstract":"Motion sensors have been used in a number of diverse applications recently. They can be found in aviation, virtual reality, robotics, medicine, advanced scientific research or even on our bodies. With this growing presence of motion sensors in the field of information technology, problems related to working with them seamlessly have appeared. One of major issues stems from technological differences between sensors and requires their users to implement sensorspecific software logic independently for every sensor used. This paper aims at solving the problem described by proposing a solution designed to integrate this logic into an application programming interface for straightforward work with motion sensors.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124882885","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379157
M. Sivý, B. Sobota, Š. Korečko, M. Hudák
This paper focuses on the description of the interface design of a backend server and the design implementation of a user interface suitable for the visualization of virtual and real objects/appliances controlled in a SMART environment, for example in the home, with regard to the cognitive abilities of the user. Client applications will be able to use the REST API and communicate through this API using requests, use implemented logic, and store objects and their states in the database. The server is deployed in the cloud to be accessible outside the local network. The solution is universal and offers a generic standard to support different types of appliances using a generic form. Task scheduling is also an important function. In virtual reality, it is possible to quickly test the cognitive abilities of the user and thus adapt the user interface to his needs.
{"title":"SMART environment control in virtual and mixed reality based on cognitive user abilities","authors":"M. Sivý, B. Sobota, Š. Korečko, M. Hudák","doi":"10.1109/ICETA51985.2020.9379157","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379157","url":null,"abstract":"This paper focuses on the description of the interface design of a backend server and the design implementation of a user interface suitable for the visualization of virtual and real objects/appliances controlled in a SMART environment, for example in the home, with regard to the cognitive abilities of the user. Client applications will be able to use the REST API and communicate through this API using requests, use implemented logic, and store objects and their states in the database. The server is deployed in the cloud to be accessible outside the local network. The solution is universal and offers a generic standard to support different types of appliances using a generic form. Task scheduling is also an important function. In virtual reality, it is possible to quickly test the cognitive abilities of the user and thus adapt the user interface to his needs.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124156156","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379268
J. Lenický, M. Hradsky, M. Kalina, J. Erdelyi, P. Cicák
These days, E- Health became a very interesting domain. We can use this domain to improve health in every job. We can remotely monitor the health of different subjects. In this paper, we presented an E-Health device for remote health monitoring on humans. We created a device, where a human can measure his heat, heartbeat, and blood pressure, and then send this data to the server. This device was developed to monitor student health. With this device, we want to find out the health difference between standard learning processes and E-Learning processes. At the end of the experiment, we want to improve both learning processes.
{"title":"E-Health device for remote health monitoring","authors":"J. Lenický, M. Hradsky, M. Kalina, J. Erdelyi, P. Cicák","doi":"10.1109/ICETA51985.2020.9379268","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379268","url":null,"abstract":"These days, E- Health became a very interesting domain. We can use this domain to improve health in every job. We can remotely monitor the health of different subjects. In this paper, we presented an E-Health device for remote health monitoring on humans. We created a device, where a human can measure his heat, heartbeat, and blood pressure, and then send this data to the server. This device was developed to monitor student health. With this device, we want to find out the health difference between standard learning processes and E-Learning processes. At the end of the experiment, we want to improve both learning processes.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124276155","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379255
L. Jansen, L. Buzna
Firstly, this work briefly introduces the Collaborative Doctoral Program (CDP), which fosters collaborations between the Joint Research Centre and Universities, in order to provide a European qualification framework to doctoral students, who are trained to be at the intersect of science and policy through multinational projects. Secondly, this work provides an example of research conducted in the context of the CDP in the field of energy modeling aiming at developing improved modeling tools to assess the efficiency of nodal against zonal pricing and providing evidence for policy-makers. The electricity system is evolving with increasing incorporation of renewable energies, therefore also the transmission system is facing expanding challenges. As a consequence, also electricity markets are evolving. A topic of increasing interest is nodal pricing as an alternative to zonal pricing-based electricity markets in Europe. This work is giving an overview of different formulations of optimization problems in power systems and in particular, in electricity markets, which are commonly applied in literature. We focus on two different aspects being the type of optimization problem and the representation of the transmission network. In this context, the trade-off between modeling accuracy and computational efforts is the topic assessed in this study. We find that computational times increase drastically when employing unit-commitment, but remain rather moderate when sticking to economic dispatch using DC- as well as AC-OPF. The representation of networks in terms of aggregated node systems, which are relevant when aiming to compare zonal to nodal pricing-based electricity markets, show that power flows within zones are difficult to predict and it is vital to further investigate the aggregation of nodes into zones to support comparative studies.
{"title":"Evaluation of Modeling Differences of Nodal vs. Zonal Pricing Based Electricity Markets: Optimization Models and Network Representation","authors":"L. Jansen, L. Buzna","doi":"10.1109/ICETA51985.2020.9379255","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379255","url":null,"abstract":"Firstly, this work briefly introduces the Collaborative Doctoral Program (CDP), which fosters collaborations between the Joint Research Centre and Universities, in order to provide a European qualification framework to doctoral students, who are trained to be at the intersect of science and policy through multinational projects. Secondly, this work provides an example of research conducted in the context of the CDP in the field of energy modeling aiming at developing improved modeling tools to assess the efficiency of nodal against zonal pricing and providing evidence for policy-makers. The electricity system is evolving with increasing incorporation of renewable energies, therefore also the transmission system is facing expanding challenges. As a consequence, also electricity markets are evolving. A topic of increasing interest is nodal pricing as an alternative to zonal pricing-based electricity markets in Europe. This work is giving an overview of different formulations of optimization problems in power systems and in particular, in electricity markets, which are commonly applied in literature. We focus on two different aspects being the type of optimization problem and the representation of the transmission network. In this context, the trade-off between modeling accuracy and computational efforts is the topic assessed in this study. We find that computational times increase drastically when employing unit-commitment, but remain rather moderate when sticking to economic dispatch using DC- as well as AC-OPF. The representation of networks in terms of aggregated node systems, which are relevant when aiming to compare zonal to nodal pricing-based electricity markets, show that power flows within zones are difficult to predict and it is vital to further investigate the aggregation of nodes into zones to support comparative studies.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127624908","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379151
F. Jakab, D. Cymbalák, R. Vápeník, P. Hrčka, J. Kováčová
This paper introduces technical challenges with National Telepresence Infrastructure in Slovakia during COVID-19 Pandemic. Rapidly increasing demand for videoconference technology from academic and research institutions is calling for quick sometimes not yet stable solutions during these days. Paper should be a summary of operational and innovative rapid development activities of large telepresence infrastructure. There will be also a vision for transforming telepresence technology regarding current situation into more effective digital tool not only for communication, but also for remote work, digital traveling etc.
{"title":"Technical Challenges and Vision of Slovak National Telepresence Infrastructure during the COVID-19 Pandemic","authors":"F. Jakab, D. Cymbalák, R. Vápeník, P. Hrčka, J. Kováčová","doi":"10.1109/ICETA51985.2020.9379151","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379151","url":null,"abstract":"This paper introduces technical challenges with National Telepresence Infrastructure in Slovakia during COVID-19 Pandemic. Rapidly increasing demand for videoconference technology from academic and research institutions is calling for quick sometimes not yet stable solutions during these days. Paper should be a summary of operational and innovative rapid development activities of large telepresence infrastructure. There will be also a vision for transforming telepresence technology regarding current situation into more effective digital tool not only for communication, but also for remote work, digital traveling etc.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132603017","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379158
T. Javorcik, T. Havlaskova
The paper describes partial results and findings of an extensive questionnaire survey, which took place among students of teaching disciplines of the Faculty of Education, University of Ostrava. The aim of this questionnaire survey was to find out what knowledge, skills and overview students of various teaching disciplines have in the use of digital technologies in the educational process. We conducted the questionnaire survey at a time of several key changes in education. These changes affect all subjects and levels of education making the use of digital technologies in the Czech school environment inevitable for all those involved - teachers, pupils and students. For this reason, we consider it necessary to map whether future graduates of teaching disciplines are sufficiently prepared for these changes.
{"title":"Level and Ways of Educating Future Teachers in the Use of Digital Technologies: Basic Results of a Questionnaire Survey","authors":"T. Javorcik, T. Havlaskova","doi":"10.1109/ICETA51985.2020.9379158","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379158","url":null,"abstract":"The paper describes partial results and findings of an extensive questionnaire survey, which took place among students of teaching disciplines of the Faculty of Education, University of Ostrava. The aim of this questionnaire survey was to find out what knowledge, skills and overview students of various teaching disciplines have in the use of digital technologies in the educational process. We conducted the questionnaire survey at a time of several key changes in education. These changes affect all subjects and levels of education making the use of digital technologies in the Czech school environment inevitable for all those involved - teachers, pupils and students. For this reason, we consider it necessary to map whether future graduates of teaching disciplines are sufficiently prepared for these changes.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132931429","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379233
Hana Bucková, Jirí Dostál
The article focuses on issues related to the innovation of the curriculum of informatics and digital technologies in the Czech Republic. Within the research survey, special attention is paid to the opinions of secondary school teachers. It is found out how they view the ongoing curricular changes, which are characterized by strengthening the curriculum focused on algorithmization and programming.
{"title":"Innovative changes in the curriculum of information and communication technologies in the Czech Republic from the perspective of primary school teachers","authors":"Hana Bucková, Jirí Dostál","doi":"10.1109/ICETA51985.2020.9379233","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379233","url":null,"abstract":"The article focuses on issues related to the innovation of the curriculum of informatics and digital technologies in the Czech Republic. Within the research survey, special attention is paid to the opinions of secondary school teachers. It is found out how they view the ongoing curricular changes, which are characterized by strengthening the curriculum focused on algorithmization and programming.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134289116","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 : 2020-11-12DOI: 10.1109/ICETA51985.2020.9379189
J. Rabcan, Patrik Rusnak, J. Kostolny, R. Stankovic
The objective of the classification is to assign a class label to a data sample based on previous, learned experience. Despite the long tradition of classification algorithms research, there is not a unique technique that yields the best classification performance in all scenarios. Many real-world problems are uncertain. In this case, the crisp classification can be difficult to perform. The usage of fuzzy logic can be useful to describe real-world problems with higher accuracy. In this paper, we describe and compare algorithms of Fuzzy Decision Trees (FDTs), which are an extension of traditional decision trees. These algorithms are popular for their easy understandability and interpretability. But today there are many algorithms for FDT induction. These algorithms differ in many aspects. The most common difference is in information measures for selecting splitting attributes. Generally, the goal of decision tree induction is to create the smallest tree which is the most accurate as possible. In this paper, we use various information measures to induct FDTs and compare the accuracy and size of obtained FDTs. In comparison, information measures that are based on a generalization of the Shannon entropy and cumulative mutual information are included. The comparison shows that FDTs based on the cumulative mutual information acquired the best results. These results will also be included in a course on data mining that is taught at Faculty of Management Science and Informatics of University of Zilina.
{"title":"Comparison of Algorithms for Fuzzy Decision Tree Induction","authors":"J. Rabcan, Patrik Rusnak, J. Kostolny, R. Stankovic","doi":"10.1109/ICETA51985.2020.9379189","DOIUrl":"https://doi.org/10.1109/ICETA51985.2020.9379189","url":null,"abstract":"The objective of the classification is to assign a class label to a data sample based on previous, learned experience. Despite the long tradition of classification algorithms research, there is not a unique technique that yields the best classification performance in all scenarios. Many real-world problems are uncertain. In this case, the crisp classification can be difficult to perform. The usage of fuzzy logic can be useful to describe real-world problems with higher accuracy. In this paper, we describe and compare algorithms of Fuzzy Decision Trees (FDTs), which are an extension of traditional decision trees. These algorithms are popular for their easy understandability and interpretability. But today there are many algorithms for FDT induction. These algorithms differ in many aspects. The most common difference is in information measures for selecting splitting attributes. Generally, the goal of decision tree induction is to create the smallest tree which is the most accurate as possible. In this paper, we use various information measures to induct FDTs and compare the accuracy and size of obtained FDTs. In comparison, information measures that are based on a generalization of the Shannon entropy and cumulative mutual information are included. The comparison shows that FDTs based on the cumulative mutual information acquired the best results. These results will also be included in a course on data mining that is taught at Faculty of Management Science and Informatics of University of Zilina.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134340418","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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