Pub Date : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00101
Yarding Zheng
First, different cultural backgrounds of China and western countries are introduced in this paper. Then, the cultural differences between Chinese and English in the use of polite language are illustrated through the examples, including the differences of salutation, greetings, appreciation language, praise language, taboo language and other polite language. Finally, we summarize the various differences between Chinese and Western culture in the use of polite language, so we can eliminate the cultural interference, avoid the cultural conflict, seek common ground while reserving differences and create a good communicative atmosphere to promote the cross-cultural communication.
{"title":"The Comparison in Polite Language between Western Culture and Chinese Culture","authors":"Yarding Zheng","doi":"10.1109/ICNISC54316.2021.00101","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00101","url":null,"abstract":"First, different cultural backgrounds of China and western countries are introduced in this paper. Then, the cultural differences between Chinese and English in the use of polite language are illustrated through the examples, including the differences of salutation, greetings, appreciation language, praise language, taboo language and other polite language. Finally, we summarize the various differences between Chinese and Western culture in the use of polite language, so we can eliminate the cultural interference, avoid the cultural conflict, seek common ground while reserving differences and create a good communicative atmosphere to promote the cross-cultural communication.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124371144","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00181
Yonghe Lu, Ruijie Zhao, Shan Huang, Runjia Liu
To integrate medical data which is scattered over the internet, natural language processing (NLP) is widely used in medical text mining. BERT (Bidirectional Encoder Representations from Transformers) is outstanding among many other representation models and vector representation based on Bert pre-training language model can help the target task learn more semantic information. The knowledge graph intuitively reveals the relationship between entities and helps explore deeper semantic connections between entities. There are three important parts in the construction of a knowledge graph, including entity extraction, relation extraction, and graph generation. Based on these methods this paper proposes a Bert-based named entities identification model Bert-BiLSTM-CRF and it is outperforming the established methods. In the relation extraction part, use the BERT-Softmax to improve the semantic expression and its F1-value increased by 12 percent compared with the traditional entity relation extraction model. Based on the above redefined the entities of diabetes and their relationships to enrich the semantics of the knowledge graph. Finally, the Neo4j graph database was used to realize the visualization of the diabetes knowledge map.
为了整合分散在互联网上的医疗数据，自然语言处理(NLP)被广泛应用于医学文本挖掘。BERT (Bidirectional Encoder Representations from Transformers)是众多表示模型中的佼佼者，基于BERT预训练语言模型的向量表示可以帮助目标任务学习到更多的语义信息。知识图直观地揭示了实体之间的关系，有助于探索实体之间更深层次的语义联系。知识图谱的构建包括实体抽取、关系抽取和图形生成三个重要部分。在此基础上，提出了一种基于bert的命名实体识别模型Bert-BiLSTM-CRF，并取得了较好的效果。在关系提取部分，使用BERT-Softmax对语义表达进行改进，其f1值比传统实体关系提取模型提高了12%。在此基础上重新定义了糖尿病的实体及其关系，丰富了知识图谱的语义。最后利用Neo4j图形数据库实现糖尿病知识图谱的可视化。
{"title":"Construction of Diabetes Knowledge Graph Based on Deep Learning","authors":"Yonghe Lu, Ruijie Zhao, Shan Huang, Runjia Liu","doi":"10.1109/ICNISC54316.2021.00181","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00181","url":null,"abstract":"To integrate medical data which is scattered over the internet, natural language processing (NLP) is widely used in medical text mining. BERT (Bidirectional Encoder Representations from Transformers) is outstanding among many other representation models and vector representation based on Bert pre-training language model can help the target task learn more semantic information. The knowledge graph intuitively reveals the relationship between entities and helps explore deeper semantic connections between entities. There are three important parts in the construction of a knowledge graph, including entity extraction, relation extraction, and graph generation. Based on these methods this paper proposes a Bert-based named entities identification model Bert-BiLSTM-CRF and it is outperforming the established methods. In the relation extraction part, use the BERT-Softmax to improve the semantic expression and its F1-value increased by 12 percent compared with the traditional entity relation extraction model. Based on the above redefined the entities of diabetes and their relationships to enrich the semantics of the knowledge graph. Finally, the Neo4j graph database was used to realize the visualization of the diabetes knowledge map.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124845554","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00180
Tiansheng Xu, Rumeng Wang
In order to avoid the adverse impact of barrages on teenagers on video website, the author realizes the layering, classification and grading of users' barrages by using the text classification algorithm of deep learning, guides the users' barrages and creates a good ecological environment of network language. The algorithm of barrage classification display needs to be updated in real time. In terms of data, we need to expand the sample of machine learning training in real time, in addition, the classification of language score should be further refined and accurate. In terms of technology, we can combine the latest development of psychology, communication and statistics to make the classification of barrages more accurate.
{"title":"Research on the Barrage Classification Algorithm for the Protection of Teenager on Video Websites","authors":"Tiansheng Xu, Rumeng Wang","doi":"10.1109/ICNISC54316.2021.00180","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00180","url":null,"abstract":"In order to avoid the adverse impact of barrages on teenagers on video website, the author realizes the layering, classification and grading of users' barrages by using the text classification algorithm of deep learning, guides the users' barrages and creates a good ecological environment of network language. The algorithm of barrage classification display needs to be updated in real time. In terms of data, we need to expand the sample of machine learning training in real time, in addition, the classification of language score should be further refined and accurate. In terms of technology, we can combine the latest development of psychology, communication and statistics to make the classification of barrages more accurate.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123299975","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00105
Yue Du, Baokang Liu, Weiguo He
Lyciumbarbarum is a kind of shrub which can endure barren and drought. Its remote sensing image texture characteristics are significantly different from that of grain crops. This paper uses the maximum NDVI of MODIS images of the main Lyciumbarbarum production areas in the Qaidam Basin from 2002 to 2015 to analyze the dynamic change characteristics of the planting area of Lyciumbarbarum. The main conclusions are as follows: 1) From 2002 to 2015, the maximum NDVI of Lyciumbarbarum decreased in 2008 in the main production areas of Qaidam Basin and began to stabilize in 2010; 2) The vegetation NDVI in the main production areas of Lyciumbarbarum decreased sharply in 2008, mainly because the coverage of growing crops in the growing season was significantly greater than that of Lyciumbarbarum; 3) The Lyciumbarbarum planting in the western basin was later. Planting generally started after 2011; 4) The annual average wind speed reduction trend in the Lyciumbarbarum planting area in the past 55 years is generally greater than that in the non-Lyciumbarbarum planting area, the wind speed reduction trend in the Lyciumbarbarum planting area is more significant since 2000.
{"title":"Analysis on Growth Characteristics of LyciumBarbarum in Qaidam Basin from 2002 to 2015","authors":"Yue Du, Baokang Liu, Weiguo He","doi":"10.1109/ICNISC54316.2021.00105","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00105","url":null,"abstract":"Lyciumbarbarum is a kind of shrub which can endure barren and drought. Its remote sensing image texture characteristics are significantly different from that of grain crops. This paper uses the maximum NDVI of MODIS images of the main Lyciumbarbarum production areas in the Qaidam Basin from 2002 to 2015 to analyze the dynamic change characteristics of the planting area of Lyciumbarbarum. The main conclusions are as follows: 1) From 2002 to 2015, the maximum NDVI of Lyciumbarbarum decreased in 2008 in the main production areas of Qaidam Basin and began to stabilize in 2010; 2) The vegetation NDVI in the main production areas of Lyciumbarbarum decreased sharply in 2008, mainly because the coverage of growing crops in the growing season was significantly greater than that of Lyciumbarbarum; 3) The Lyciumbarbarum planting in the western basin was later. Planting generally started after 2011; 4) The annual average wind speed reduction trend in the Lyciumbarbarum planting area in the past 55 years is generally greater than that in the non-Lyciumbarbarum planting area, the wind speed reduction trend in the Lyciumbarbarum planting area is more significant since 2000.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125362870","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00178
Rui Zhao, Songyang Wu, Yi Mao, Ning Li
To solve the problem that existing machine reading comprehension models can't understand the semantics of articles and questions well, this paper proposes a multi-level semantic fusion neural network based on natural language understanding and deep learning. The model combines calculations of attentions at different levels with cross-layer fusions of historical data. Experiments on the SQuAD dataset prove that our proposed model is superior to traditional models in terms of the exact match rate and F1 value. Our model can better transmit and interpret data and enhance the performance of question answering systems.
{"title":"A Multi-Level Semantic Fusion Algorithm Based on Historical Data in Question Answering","authors":"Rui Zhao, Songyang Wu, Yi Mao, Ning Li","doi":"10.1109/ICNISC54316.2021.00178","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00178","url":null,"abstract":"To solve the problem that existing machine reading comprehension models can't understand the semantics of articles and questions well, this paper proposes a multi-level semantic fusion neural network based on natural language understanding and deep learning. The model combines calculations of attentions at different levels with cross-layer fusions of historical data. Experiments on the SQuAD dataset prove that our proposed model is superior to traditional models in terms of the exact match rate and F1 value. Our model can better transmit and interpret data and enhance the performance of question answering systems.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"297 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114396146","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00033
Caixia Li, Jimei Li
Smart classroom is an intelligent and efficient classroom based on the “Internet +” and the new generation information technologies such as big data and cloud computing. The teaching process of smart classroom contains a large amount of teaching behaviour data with the value of research and application. Based on the review of smart classroom teaching behaviours analysis and evaluation, this paper first compared classical classroom teaching behaviours analysis methods at home and abroad, and then proposed the construction principles and process, and designed the smart classroom teaching behaviours analysis model (SCTBA) to provide research foundation for the analysis and evaluation of teaching behaviours on smart classroom.
{"title":"Construction of Teaching Behaviours Analysis Model for Smart Classroom","authors":"Caixia Li, Jimei Li","doi":"10.1109/ICNISC54316.2021.00033","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00033","url":null,"abstract":"Smart classroom is an intelligent and efficient classroom based on the “Internet +” and the new generation information technologies such as big data and cloud computing. The teaching process of smart classroom contains a large amount of teaching behaviour data with the value of research and application. Based on the review of smart classroom teaching behaviours analysis and evaluation, this paper first compared classical classroom teaching behaviours analysis methods at home and abroad, and then proposed the construction principles and process, and designed the smart classroom teaching behaviours analysis model (SCTBA) to provide research foundation for the analysis and evaluation of teaching behaviours on smart classroom.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114428277","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00136
Xin He Miao, Kai Ren, Xiao-qiang Li, Baolian Liu
More and more researchers focus on visible light communication technology in recent years because of the shortage of spectrum resource. Channel capacity and data rate are depended by the modulation bandwidth of the LED. A test system of LED's modulation bandwidth is designed. This system includes two parts: transmission and reception. The transmition circuit is BiasT structure. The receiving circuit is TIA structure. The parameters of the chip were analyzed in detail. The 3dB modulation bandwidth is about 3.15MHz. The 20dB modulation bandwidth is about 8MHz. After using a blue filter lens, the 3dB modulation bandwidth is raised to about 5.5MHz. All data is the only for the sample LED.
{"title":"Test of the Modulation Bandwidth of the LED in Visible Light Communication","authors":"Xin He Miao, Kai Ren, Xiao-qiang Li, Baolian Liu","doi":"10.1109/ICNISC54316.2021.00136","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00136","url":null,"abstract":"More and more researchers focus on visible light communication technology in recent years because of the shortage of spectrum resource. Channel capacity and data rate are depended by the modulation bandwidth of the LED. A test system of LED's modulation bandwidth is designed. This system includes two parts: transmission and reception. The transmition circuit is BiasT structure. The receiving circuit is TIA structure. The parameters of the chip were analyzed in detail. The 3dB modulation bandwidth is about 3.15MHz. The 20dB modulation bandwidth is about 8MHz. After using a blue filter lens, the 3dB modulation bandwidth is raised to about 5.5MHz. All data is the only for the sample LED.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129588728","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00124
Yimin Yang, Zhaochong Wang, Zongshen Jiang
The legal knowledgebase of properties involved in criminal cases aims to automatically complete the knowledge fusion related to the disposal of case-involved properties in criminal cases based on the existing laws and regulations, and provide support to the case handlers of law enforcement and judicial units such as public prosecutors and law enforcement in judicial practice. In this paper, we explore semi-supervised learning based on tri-training for named entity identification of case-related property knowledgebase based on a small amount of annotated data to reduce the workload of corpus annotation. To overcome the problem that the original tri-training method tends to degenerate into a single learner when the amount of training data is small, we propose an improved tri-training method. Experiments show that our proposed method can effectively improve the performance of named entity recognition compared to the traditional tri-training scheme.
{"title":"An Improved Tri-Training Based Named Entity Identification Approach for Legal Knowledgebase of Properties Involved in Criminal Cases","authors":"Yimin Yang, Zhaochong Wang, Zongshen Jiang","doi":"10.1109/ICNISC54316.2021.00124","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00124","url":null,"abstract":"The legal knowledgebase of properties involved in criminal cases aims to automatically complete the knowledge fusion related to the disposal of case-involved properties in criminal cases based on the existing laws and regulations, and provide support to the case handlers of law enforcement and judicial units such as public prosecutors and law enforcement in judicial practice. In this paper, we explore semi-supervised learning based on tri-training for named entity identification of case-related property knowledgebase based on a small amount of annotated data to reduce the workload of corpus annotation. To overcome the problem that the original tri-training method tends to degenerate into a single learner when the amount of training data is small, we propose an improved tri-training method. Experiments show that our proposed method can effectively improve the performance of named entity recognition compared to the traditional tri-training scheme.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"452 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129934902","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00146
Lijuan Gao, Jiong Li, Jincheng Li
The knowledge of satellite Sub-Satellite point is the basis of many courses, such as: satellite launching, Manned space flight, satellite communication, Spacecraft System, and so on. It analyzes the effects of Sub-Satellite point in the course of Satellite Communication. It analyzes the Sub-Satellite point from different aspects. According to different characteristics, it uses many different teaching methods. It can enhance the positivity with animation demonstration, STK simulation software and actual task instances. With the different methods in teaching, the students can study the theory knowledge better and grasp the knowledge better.
{"title":"The Teaching Research on Satellite Sub-Satellite Point Knowledge","authors":"Lijuan Gao, Jiong Li, Jincheng Li","doi":"10.1109/ICNISC54316.2021.00146","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00146","url":null,"abstract":"The knowledge of satellite Sub-Satellite point is the basis of many courses, such as: satellite launching, Manned space flight, satellite communication, Spacecraft System, and so on. It analyzes the effects of Sub-Satellite point in the course of Satellite Communication. It analyzes the Sub-Satellite point from different aspects. According to different characteristics, it uses many different teaching methods. It can enhance the positivity with animation demonstration, STK simulation software and actual task instances. With the different methods in teaching, the students can study the theory knowledge better and grasp the knowledge better.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128232094","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 : 2021-07-01DOI: 10.1109/ICNISC54316.2021.00012
Shuzhi Nie
Wireless sensor networks are widely used in various fields. How to use data fusion technology to effectively reduce network redundant data, improve data transmission efficiency, and reduce network energy consumption is one of the current research hotspots of wireless sensor networks. In this paper, the improved region growth method is used to divide the network into several similar areas. Dividing sub-regions is equivalent to dividing into several clusters. Selecting a representative node in the subregions selects a cluster head node, and implements data acquisition while letting other nodes sleep. The representative node should best reflect the data change trend of the sub-region, thereby reducing the collection of a large amount of redundant data in the data acquisition stage. The simulation experiment results verified the effectiveness and reliability of the algorithm. By comparison, the improved region growing algorithm is better than the traditional clustering-fusion method in the redundant data processing in the cluster.
{"title":"Application of Improved Region Growing Algorithm in WSNs Data Acquisition and Fusion","authors":"Shuzhi Nie","doi":"10.1109/ICNISC54316.2021.00012","DOIUrl":"https://doi.org/10.1109/ICNISC54316.2021.00012","url":null,"abstract":"Wireless sensor networks are widely used in various fields. How to use data fusion technology to effectively reduce network redundant data, improve data transmission efficiency, and reduce network energy consumption is one of the current research hotspots of wireless sensor networks. In this paper, the improved region growth method is used to divide the network into several similar areas. Dividing sub-regions is equivalent to dividing into several clusters. Selecting a representative node in the subregions selects a cluster head node, and implements data acquisition while letting other nodes sleep. The representative node should best reflect the data change trend of the sub-region, thereby reducing the collection of a large amount of redundant data in the data acquisition stage. The simulation experiment results verified the effectiveness and reliability of the algorithm. By comparison, the improved region growing algorithm is better than the traditional clustering-fusion method in the redundant data processing in the cluster.","PeriodicalId":396802,"journal":{"name":"2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123632482","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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