Pub Date : 2020-10-07DOI: 10.1109/AICT50176.2020.9368686
Buldin Ilya, Murov Vadim, D. Silnov
Recently, scientists have shown great interest in the processing of natural language. This article presents a template-based approach to the automatic generation of test questions that takes note of the semantic structure of the text. The main idea of the work consists in an automated composition of questions for testing from affirmative sentences that make up the text. The generated questions are then selected by the teacher. The results of experiments with text fragments from literary sources on various topics are given. The main problems for further work and successful testing of the software product in the conditions of classrooms of educational institutions are singled out.
{"title":"Automatic generation of questions based on semantic text analysis","authors":"Buldin Ilya, Murov Vadim, D. Silnov","doi":"10.1109/AICT50176.2020.9368686","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368686","url":null,"abstract":"Recently, scientists have shown great interest in the processing of natural language. This article presents a template-based approach to the automatic generation of test questions that takes note of the semantic structure of the text. The main idea of the work consists in an automated composition of questions for testing from affirmative sentences that make up the text. The generated questions are then selected by the teacher. The results of experiments with text fragments from literary sources on various topics are given. The main problems for further work and successful testing of the software product in the conditions of classrooms of educational institutions are singled out.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127466161","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368583
A. Dukhanov, Leonid Gorokhovatsky, Nikita Dobrovolskii, A. Lutsenko
This paper deals with the proposal to make the learning process suitable according to contemporary digital and educational trends. We offer to design and apply entities named "Basic learning resources" and "Individual learning resources" in an educational process. They are based on two reusable abstractions: research object and reusable learning object. Thanks to them and the object-oriented approach, we received the flexible means to construct from existing digital objects, individualize, and personalize learning resources for different reasons and educational conditions. Our approach allows us to shift writing textbooks/learning manuals to the creative process of building of learning resources. In addition, we extend possibilities to evaluate the quality of learning resources, solve auto-actualization and copyright protection issues, and problem in digital footprint accumulation.
{"title":"An Approach for Arranging the Learning Process in Terms of Digital Transformations with the Use of the Object-Oriented Approach and Reusable Abstractions","authors":"A. Dukhanov, Leonid Gorokhovatsky, Nikita Dobrovolskii, A. Lutsenko","doi":"10.1109/AICT50176.2020.9368583","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368583","url":null,"abstract":"This paper deals with the proposal to make the learning process suitable according to contemporary digital and educational trends. We offer to design and apply entities named \"Basic learning resources\" and \"Individual learning resources\" in an educational process. They are based on two reusable abstractions: research object and reusable learning object. Thanks to them and the object-oriented approach, we received the flexible means to construct from existing digital objects, individualize, and personalize learning resources for different reasons and educational conditions. Our approach allows us to shift writing textbooks/learning manuals to the creative process of building of learning resources. In addition, we extend possibilities to evaluate the quality of learning resources, solve auto-actualization and copyright protection issues, and problem in digital footprint accumulation.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128025942","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368789
Muminov B. B., Karimov U.U., Bekmurodov U.B.
At present a lot of automated systems are developing and implementing to support the educational and research processes in the universities. Often these systems duplicate some functions, databases, and also there are problems of compatibility of these systems. The most common educational systems are systems for creating electronic libraries, access to scientific and educational information, a program for detecting plagiarism, testing knowledge, etc. In this article, models and solutions for the integration of such educational automated systems as the information library system (ILS) and the anti-plagiarism system are examined. Integration of systems is based on the compatibility of databases, if more precisely in the metadata of different information models. At the same time, Cloud technologies are used - data processing technology, in which computer resources are provided to the user of the integrated system as an online service. ILS creates e-library of graduation papers and dissertations on the main server. During the creation of the electronic catalog, the communication format MARC21 is used. The database development is distributed for each department. The subsystem of anti-plagiarism analyzes the full-text database for the similarity of texts (dissertations, diploma works and others). Also it identifies the percentage of coincidence, creates the table of statistical information on the coincidence of tests for each author and division, indicating similar fields. The integrated system was developed and tested at the Tashkent University of Information Technologies to work in the corporate mode of various departments (faculties, departments, TUIT branches)
{"title":"Models Of Integration Of Information Systems In Higher Education Institutions","authors":"Muminov B. B., Karimov U.U., Bekmurodov U.B.","doi":"10.1109/AICT50176.2020.9368789","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368789","url":null,"abstract":"At present a lot of automated systems are developing and implementing to support the educational and research processes in the universities. Often these systems duplicate some functions, databases, and also there are problems of compatibility of these systems. The most common educational systems are systems for creating electronic libraries, access to scientific and educational information, a program for detecting plagiarism, testing knowledge, etc. In this article, models and solutions for the integration of such educational automated systems as the information library system (ILS) and the anti-plagiarism system are examined. Integration of systems is based on the compatibility of databases, if more precisely in the metadata of different information models. At the same time, Cloud technologies are used - data processing technology, in which computer resources are provided to the user of the integrated system as an online service. ILS creates e-library of graduation papers and dissertations on the main server. During the creation of the electronic catalog, the communication format MARC21 is used. The database development is distributed for each department. The subsystem of anti-plagiarism analyzes the full-text database for the similarity of texts (dissertations, diploma works and others). Also it identifies the percentage of coincidence, creates the table of statistical information on the coincidence of tests for each author and division, indicating similar fields. The integrated system was developed and tested at the Tashkent University of Information Technologies to work in the corporate mode of various departments (faculties, departments, TUIT branches)","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132530892","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368715
P. Pavlov
The paper deals with attribute extensions that represented at skeleton models of parts and assembly units of aviation pipeline. The aviation pipelines are one of the important parts of aircraft systems such as fuel system, control system, hydraulics system and many others. The main functions of aviation pipeline are transfer of energy and matter. This skeleton model is allow to build associative links between conceptual, geometrical and physical spaces. The use of such associative links allows expanding the precedent model that uses to accumulation of professional experience. In addition, skeleton models is used as digital shadows that save production processes data for using at life cycle stages.
{"title":"The Support of aircraft pipeline production with precedent-oriented skeleton models","authors":"P. Pavlov","doi":"10.1109/AICT50176.2020.9368715","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368715","url":null,"abstract":"The paper deals with attribute extensions that represented at skeleton models of parts and assembly units of aviation pipeline. The aviation pipelines are one of the important parts of aircraft systems such as fuel system, control system, hydraulics system and many others. The main functions of aviation pipeline are transfer of energy and matter. This skeleton model is allow to build associative links between conceptual, geometrical and physical spaces. The use of such associative links allows expanding the precedent model that uses to accumulation of professional experience. In addition, skeleton models is used as digital shadows that save production processes data for using at life cycle stages.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130635761","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368635
D. Nazarov, D. Kovtun, T. Reichert
The global trend of transition to a digital economy is pushing the scientific community to thoroughly research intellectual analytics models since the quality of models directly affects the choice of an effective decision-making strategy. The article discusses the possibilities and technologies for constructing data mining models in the digital service SAP Analytics Cloud, based on open data on the registration of legal entities and individual entrepreneurs in the Russian Federation. The impact of government support measures on the business activity of small and medium-sized businesses in the context of the spread of COVID-19 is assessed. Predictive analytics models are being implemented in the SAP Analytics Cloud, which allows us to assess the future development trends of small and medium-sized businesses in Russia.
{"title":"SAP Analytics Cloud: intellectual analysis of small and medium-sized business activities in Russia in the context of COVID-19","authors":"D. Nazarov, D. Kovtun, T. Reichert","doi":"10.1109/AICT50176.2020.9368635","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368635","url":null,"abstract":"The global trend of transition to a digital economy is pushing the scientific community to thoroughly research intellectual analytics models since the quality of models directly affects the choice of an effective decision-making strategy. The article discusses the possibilities and technologies for constructing data mining models in the digital service SAP Analytics Cloud, based on open data on the registration of legal entities and individual entrepreneurs in the Russian Federation. The impact of government support measures on the business activity of small and medium-sized businesses in the context of the spread of COVID-19 is assessed. Predictive analytics models are being implemented in the SAP Analytics Cloud, which allows us to assess the future development trends of small and medium-sized businesses in Russia.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125293896","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368577
Samah Abu Shamma, Aseel Ayasa, Wala’ Sleem, A. Yahya
Information hidden in unstructured or semi-structured law documents can be very useful but may not be readily accessible. To get this information, an information extraction (IE) system is needed. Making extracted information available in structured form enables answering complex queries that may go well beyond simple keyword search and thus may be of interest to law professionals. In this paper we address the issue of Arabic information extraction from law documents. We describe a system we developed to extract important information, that may be of interest to potential users of these documents, with minimal human intervention. We employs a hybrid approach that utilizes machine learning and rule-based methods and Arabic NLP to facilitate the extraction of needed information. The approach was applied to a limited class of Arabic law documents and we are working on extending it to other document types and to other fields.
{"title":"Information Extraction from Arabic Law Documents","authors":"Samah Abu Shamma, Aseel Ayasa, Wala’ Sleem, A. Yahya","doi":"10.1109/AICT50176.2020.9368577","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368577","url":null,"abstract":"Information hidden in unstructured or semi-structured law documents can be very useful but may not be readily accessible. To get this information, an information extraction (IE) system is needed. Making extracted information available in structured form enables answering complex queries that may go well beyond simple keyword search and thus may be of interest to law professionals. In this paper we address the issue of Arabic information extraction from law documents. We describe a system we developed to extract important information, that may be of interest to potential users of these documents, with minimal human intervention. We employs a hybrid approach that utilizes machine learning and rule-based methods and Arabic NLP to facilitate the extraction of needed information. The approach was applied to a limited class of Arabic law documents and we are working on extending it to other document types and to other fields.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114743500","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368802
A. Ryndin, E. Pakulova, O. Basov, Gennady Veselov
Today multimodal approach is relevant in any sphere of our digital life. The technologies aim to suggest the best and the most comfortable way for human-human and human-machine interaction. One of the direction to do that is the usage of multimodal interaction. We consider that modalities may be different by priority. It means that some modalities are more significant than others in a particular task. In this paper, we propose the mathematical model of the multi-path transmission system of various priority multimodal information based on queueing theory. We present a multipath multimodal data transmission system as a multi-phase queuing system (QS), consisting of two typical nodes. The first node (QS1) defines the queue of packets of modalities of different priority, the second node (QS2) distributes the packets over available access networks. We build a simulated model on AnyLogic tool. We show that the rate of packets losses is significant depends on the priority level.
{"title":"Modelling of multi-path transmission system of various priority multimodal information","authors":"A. Ryndin, E. Pakulova, O. Basov, Gennady Veselov","doi":"10.1109/AICT50176.2020.9368802","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368802","url":null,"abstract":"Today multimodal approach is relevant in any sphere of our digital life. The technologies aim to suggest the best and the most comfortable way for human-human and human-machine interaction. One of the direction to do that is the usage of multimodal interaction. We consider that modalities may be different by priority. It means that some modalities are more significant than others in a particular task. In this paper, we propose the mathematical model of the multi-path transmission system of various priority multimodal information based on queueing theory. We present a multipath multimodal data transmission system as a multi-phase queuing system (QS), consisting of two typical nodes. The first node (QS1) defines the queue of packets of modalities of different priority, the second node (QS2) distributes the packets over available access networks. We build a simulated model on AnyLogic tool. We show that the rate of packets losses is significant depends on the priority level.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123638741","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368621
Mukhsimbayev Bobur, Kuralbayev Aibek, Bekbaganbetov Abay, Fuad Hajiyev
The problem of searching for anomalies or outliers are extremely important in various fields with problems like fraud detection, crime research, network reliability analysis, medical diagnostics etc.What is an anomaly in the judicial system? A court case is to be considered as an anomaly if the judge’s decision differs significantly from existing decisions in similar cases.In most cases, the existing outlier’s search methods use high-dimensional domains in which data can contain hundreds of dimensions. Such an approach requires lots of resources and clearly is not efficient.Objectives: In this article, the authors:•present two methods (or two models) for searching for anomalies in judicial practice;•give a comparative analysis of the results of the effectiveness of both methods.Methodology: The First method for searching for anomalies is a mix of two models: classification and similarity algorithms. Here algorithms like Logistic regression, Extreme Gradient Boosting (XGBoost), Tensorflow for classification and Latent Dirichlet Allocation (LDA), Latent semantic indexing (LSI) to find similar documents. The Second method shows the usage of the Bidirectional Encoder Representations from Transformers (BERT) embedding model and the Annoy indexing model.Findings: The second method shows better and fast results for searching outliers.Data source: Authors used the set of acts provided by the Supreme Court of the Republic of Kazakhstan. The dataset contains 1 million text documents and metadata.
{"title":"Anomaly Detection Between Judicial Text-Based Documents","authors":"Mukhsimbayev Bobur, Kuralbayev Aibek, Bekbaganbetov Abay, Fuad Hajiyev","doi":"10.1109/AICT50176.2020.9368621","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368621","url":null,"abstract":"The problem of searching for anomalies or outliers are extremely important in various fields with problems like fraud detection, crime research, network reliability analysis, medical diagnostics etc.What is an anomaly in the judicial system? A court case is to be considered as an anomaly if the judge’s decision differs significantly from existing decisions in similar cases.In most cases, the existing outlier’s search methods use high-dimensional domains in which data can contain hundreds of dimensions. Such an approach requires lots of resources and clearly is not efficient.Objectives: In this article, the authors:•present two methods (or two models) for searching for anomalies in judicial practice;•give a comparative analysis of the results of the effectiveness of both methods.Methodology: The First method for searching for anomalies is a mix of two models: classification and similarity algorithms. Here algorithms like Logistic regression, Extreme Gradient Boosting (XGBoost), Tensorflow for classification and Latent Dirichlet Allocation (LDA), Latent semantic indexing (LSI) to find similar documents. The Second method shows the usage of the Bidirectional Encoder Representations from Transformers (BERT) embedding model and the Annoy indexing model.Findings: The second method shows better and fast results for searching outliers.Data source: Authors used the set of acts provided by the Supreme Court of the Republic of Kazakhstan. The dataset contains 1 million text documents and metadata.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"53 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123709553","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368794
V. Moshkin
The aim of the work was to develop a model of a knowledge base of an information system that collects information from various social networks. The model should improve search efficiency and facilitate the unification of data from heterogeneous sources. The work presents an ontological model for the unification of data profiles of different social networks. This model avoids data redundancy by including contextual information in annotations to ontology relations. In addition, an approach to information retrieval using syntagmatic patterns in the formation of a database tree of posts of social network users is proposed. The article also presents the results of experiments with data from the social network Facebook confirming the effectiveness of the proposed models and algorithms.
{"title":"The approach to building a graph knowledge base using social media data","authors":"V. Moshkin","doi":"10.1109/AICT50176.2020.9368794","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368794","url":null,"abstract":"The aim of the work was to develop a model of a knowledge base of an information system that collects information from various social networks. The model should improve search efficiency and facilitate the unification of data from heterogeneous sources. The work presents an ontological model for the unification of data profiles of different social networks. This model avoids data redundancy by including contextual information in annotations to ontology relations. In addition, an approach to information retrieval using syntagmatic patterns in the formation of a database tree of posts of social network users is proposed. The article also presents the results of experiments with data from the social network Facebook confirming the effectiveness of the proposed models and algorithms.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126969856","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 : 2020-10-07DOI: 10.1109/AICT50176.2020.9368841
A. Adamov
It becomes obvious that traditional platforms and processing paradigms can’t store and process huge amounts of data. The only solution is to use specially designed ad-hoc platform/architecture based on parallelization that distributes data across large cluster of physical machines. Data Intensive Computing is a subclass of general parallel computing concept which is based on division of large amounts of data into independent parts and processing them in parallel. In the paper the alternative parallelization architectures are reviewed. MapReduce Programming model associated with distributed massive parallel processing of large amount of data is examined. The main objective of this study is to investigate conceptual fundament behind very popular data-drive computation model MapReduce.
{"title":"Computation Model of Data Intensive Computing with MapReduce","authors":"A. Adamov","doi":"10.1109/AICT50176.2020.9368841","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368841","url":null,"abstract":"It becomes obvious that traditional platforms and processing paradigms can’t store and process huge amounts of data. The only solution is to use specially designed ad-hoc platform/architecture based on parallelization that distributes data across large cluster of physical machines. Data Intensive Computing is a subclass of general parallel computing concept which is based on division of large amounts of data into independent parts and processing them in parallel. In the paper the alternative parallelization architectures are reviewed. MapReduce Programming model associated with distributed massive parallel processing of large amount of data is examined. The main objective of this study is to investigate conceptual fundament behind very popular data-drive computation model MapReduce.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130779646","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：