Pub Date : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230246
Chen Wang, Pengjun Zhai, Yu Fang
Extracting valuable medical events from Chinese electronic medical records has important practical significance and application value for electronic medical record text mining, and event detection is a critical step in the event extraction task. Existing research methods for medical event detection in Chinese are mainly based on pattern matching and clustering, and they have two problems $:(1)$ None of them consider the named entities distribution characteristics of medical events. (2) Ignore the distribution of document consistency between medical events in each document. Therefore, this paper proposes an event detection method based on feature extension and document consistency. Firstly, design the medical event representation template and construct the event trigger dictionary according to the ACE standard. Secondly, use semiautomatic corpus labeling method to label entities and events. Then, based on the basic features, according to the distribution characteristics of the entities in the event, different entity information features are selected as extension features. Finally, use the consistency of the distribution of medical documents to improve the final result of event detection. The experimental results show that our method is significantly superior to the baseline.
{"title":"Chinese medical event detection based on feature extension and document consistency","authors":"Chen Wang, Pengjun Zhai, Yu Fang","doi":"10.1109/CACRE50138.2020.9230246","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230246","url":null,"abstract":"Extracting valuable medical events from Chinese electronic medical records has important practical significance and application value for electronic medical record text mining, and event detection is a critical step in the event extraction task. Existing research methods for medical event detection in Chinese are mainly based on pattern matching and clustering, and they have two problems $:(1)$ None of them consider the named entities distribution characteristics of medical events. (2) Ignore the distribution of document consistency between medical events in each document. Therefore, this paper proposes an event detection method based on feature extension and document consistency. Firstly, design the medical event representation template and construct the event trigger dictionary according to the ACE standard. Secondly, use semiautomatic corpus labeling method to label entities and events. Then, based on the basic features, according to the distribution characteristics of the entities in the event, different entity information features are selected as extension features. Finally, use the consistency of the distribution of medical documents to improve the final result of event detection. The experimental results show that our method is significantly superior to the baseline.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133271304","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 : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230097
Ren Yugang, Zheng Sen, Yang Lei, Liu Kun, L. Yanjun, Z. Jianhua, Ding Zhongjun
Deep-sea underwater connection and information interaction technology, including core technologies such as electromechanical hydraulic interface connection and underwater signal interactive transmission, is an effective technical means to solve the problem of information interaction and collaborative operation between underwater multi-platform and sensor nodes. With a large number of deep-sea vehicles in service in China, the energy, signal, data and other interfaces of the vehicles have not been unified, which leads to the difficulty in realizing multi-platform collaborative operations, so it is urgent to carry out corresponding research. In this paper, based on the analysis of the current situation of the information interaction technology of Jiaolong manned submersible, we carried out the research and summary of the multi-platform information technology of the deep-sea vehicle, and focused on the requirements of the exploration of the complex terrain and the detection of the morphology of accumulation body in the deep-sea hydrothermal region, proposed the design idea of the underwater multi-platform information interaction based on acoustic optic and electromagnetic transmission technology with Jiaolong manned submersible as the carrier, and completed the scheme design of the information interaction system of acoustic, optic and electromagnetic, which will provide technical support for the realization of the cooperative operation and high-efficiency application of the deep-sea vehicle cooperative operation.
{"title":"Research on information interaction design of underwater multi-platform of deep-sea vehicle based on acoustic optic and electromagnetic transmission technology","authors":"Ren Yugang, Zheng Sen, Yang Lei, Liu Kun, L. Yanjun, Z. Jianhua, Ding Zhongjun","doi":"10.1109/CACRE50138.2020.9230097","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230097","url":null,"abstract":"Deep-sea underwater connection and information interaction technology, including core technologies such as electromechanical hydraulic interface connection and underwater signal interactive transmission, is an effective technical means to solve the problem of information interaction and collaborative operation between underwater multi-platform and sensor nodes. With a large number of deep-sea vehicles in service in China, the energy, signal, data and other interfaces of the vehicles have not been unified, which leads to the difficulty in realizing multi-platform collaborative operations, so it is urgent to carry out corresponding research. In this paper, based on the analysis of the current situation of the information interaction technology of Jiaolong manned submersible, we carried out the research and summary of the multi-platform information technology of the deep-sea vehicle, and focused on the requirements of the exploration of the complex terrain and the detection of the morphology of accumulation body in the deep-sea hydrothermal region, proposed the design idea of the underwater multi-platform information interaction based on acoustic optic and electromagnetic transmission technology with Jiaolong manned submersible as the carrier, and completed the scheme design of the information interaction system of acoustic, optic and electromagnetic, which will provide technical support for the realization of the cooperative operation and high-efficiency application of the deep-sea vehicle cooperative operation.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"s3-31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130136580","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 : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230017
Hao Kang, Youyi Chen, Hailong Zhao
In this paper, the basic principle and optimization strategy of decision tree algorithm are described. The model is embedded into x software as an independent sub-module. On the premise of the analysis results of the previous failure law, the fault mode, grade and treatment mode of the vehicle are predicted through the setting of specific vehicle driving parameters. The results of the model test show that it can predict and analyze the immediate failure of the vehicle very well, and improve the precision and efficiency of vehicle support.
{"title":"Model Establishment of Decision Tree Algorithm and Its Application in Vehicle Fault Prediction Analysis","authors":"Hao Kang, Youyi Chen, Hailong Zhao","doi":"10.1109/CACRE50138.2020.9230017","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230017","url":null,"abstract":"In this paper, the basic principle and optimization strategy of decision tree algorithm are described. The model is embedded into x software as an independent sub-module. On the premise of the analysis results of the previous failure law, the fault mode, grade and treatment mode of the vehicle are predicted through the setting of specific vehicle driving parameters. The results of the model test show that it can predict and analyze the immediate failure of the vehicle very well, and improve the precision and efficiency of vehicle support.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"102 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113972882","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 : 2020-09-01DOI: 10.1109/CACRE50138.2020.9229966
Hao Wu
DC transformer (DCT) is a new type of intelligent power electronic device which uses power electronic switches and modern control technology to realize power conversion. Multi-ports DCT can directly interconnect multiple voltage level DC ports, and has a wide range of applications in DC distribution network. The equivalent circuit model of multi-ports DCT is studied in this paper, and the expression of transmission power is obtained. The small signal analysis method is used to get the control model. On this basis, a real-time control method is adopted, with the actual steady-state operating point replaced by the real-time calculation results of PI controller. The simulation and experimental results verify the correctness and effectiveness of the control method in this paper.
{"title":"A decoupling control method for multi-ports DC transformer","authors":"Hao Wu","doi":"10.1109/CACRE50138.2020.9229966","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9229966","url":null,"abstract":"DC transformer (DCT) is a new type of intelligent power electronic device which uses power electronic switches and modern control technology to realize power conversion. Multi-ports DCT can directly interconnect multiple voltage level DC ports, and has a wide range of applications in DC distribution network. The equivalent circuit model of multi-ports DCT is studied in this paper, and the expression of transmission power is obtained. The small signal analysis method is used to get the control model. On this basis, a real-time control method is adopted, with the actual steady-state operating point replaced by the real-time calculation results of PI controller. The simulation and experimental results verify the correctness and effectiveness of the control method in this paper.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132942895","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}
Tandem force sensor is an important sensor in human-robot collaboration and learning from demonstration, equipped with which robot can perceive the environment state and human attention simultaneously. The posture of a tandem force sensor changes with robot’s posture, which leads to the output of the sensor cannot accurately reflect the environmental states and human intention. In order to compensate the measurement error caused by attitude change, the numerical compensation method of tandem force sensor based on deep learning is proposed in this paper. And the experimental results of numerical compensation show that this method can effectively eliminate the influence of attitude change on the measurement of the sensor.
{"title":"Research on numerical compensation method of tandem force sensor installed at the end of industrial robot","authors":"Zhijian Zhang, Youping Chen, Dailin Zhang, Qi Tong","doi":"10.1109/CACRE50138.2020.9230141","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230141","url":null,"abstract":"Tandem force sensor is an important sensor in human-robot collaboration and learning from demonstration, equipped with which robot can perceive the environment state and human attention simultaneously. The posture of a tandem force sensor changes with robot’s posture, which leads to the output of the sensor cannot accurately reflect the environmental states and human intention. In order to compensate the measurement error caused by attitude change, the numerical compensation method of tandem force sensor based on deep learning is proposed in this paper. And the experimental results of numerical compensation show that this method can effectively eliminate the influence of attitude change on the measurement of the sensor.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133511301","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}
Tube-based hydroponics is one of the main production methods of greenhouse gardening in China. The traditional tube-based hydroponics method is labor intensive, inefficient, and labor costly to sustain. In this paper, an automated tube-based hydroponics system was designed, consisting of a longitudinal conveying mechanism, a transverse conveying mechanism, and a cleaning and disinfection mechanism, which can complete the automatic conveying of planting tubes, cleaning and disinfection of planting tubes, and realize the automatic production of leafy vegetables. In addition, key components for planting tube slope were designed and prototype preparation and performance testing were studied. The results showed that the prototype’s longitudinal conveying success rate was 100% with an average period of 2.09 s and transverse conveying success rate was 98.67% with an average period of 12.17 s. The prototype performance met the agronomic requirements. This equipment provides the technical basis for the unmanned production of piped hydroponic leafy vegetables.
{"title":"Design and testing of automated tube-based hydroponic system","authors":"Nihong Liu, Zheng Xiong, Canling Xu, Yu-Heng Wu, Huiling Li, Xianping Jiang, Junfeng Cheng","doi":"10.1109/CACRE50138.2020.9230147","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230147","url":null,"abstract":"Tube-based hydroponics is one of the main production methods of greenhouse gardening in China. The traditional tube-based hydroponics method is labor intensive, inefficient, and labor costly to sustain. In this paper, an automated tube-based hydroponics system was designed, consisting of a longitudinal conveying mechanism, a transverse conveying mechanism, and a cleaning and disinfection mechanism, which can complete the automatic conveying of planting tubes, cleaning and disinfection of planting tubes, and realize the automatic production of leafy vegetables. In addition, key components for planting tube slope were designed and prototype preparation and performance testing were studied. The results showed that the prototype’s longitudinal conveying success rate was 100% with an average period of 2.09 s and transverse conveying success rate was 98.67% with an average period of 12.17 s. The prototype performance met the agronomic requirements. This equipment provides the technical basis for the unmanned production of piped hydroponic leafy vegetables.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133399993","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 : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230020
Aoming Zhang, Haiyan Xie, Qinwen Cao
Based on the actual cases of ships’ sailing safety accident, this paper analyzes the factors affecting the safety of ships’ setting sail and establishes a safety evaluating system. Then the RBF neural network model is established on the security evaluation system and compared with the BP network model. The experimental results show that the RBF neural network model is more advantageous in the research of ships’ sailing safety evaluation.
{"title":"The Study of Safety of Ships’ Setting Sail Assessment Based on RBF Neural Network","authors":"Aoming Zhang, Haiyan Xie, Qinwen Cao","doi":"10.1109/CACRE50138.2020.9230020","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230020","url":null,"abstract":"Based on the actual cases of ships’ sailing safety accident, this paper analyzes the factors affecting the safety of ships’ setting sail and establishes a safety evaluating system. Then the RBF neural network model is established on the security evaluation system and compared with the BP network model. The experimental results show that the RBF neural network model is more advantageous in the research of ships’ sailing safety evaluation.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116228479","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 : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230351
Wendong Wang, Hanhao Li, Menghan Xiao, L. Qin
Traditional high-rigidity robots are difficult to meet the safety of human-machine interaction and the self-adaptability of complex environments. This paper proposed a new design method of variable stiffness flexible actuator for robot joints based on magnetorheological fluid, and completed relevant experiments. The magnetic field simulation results of the magnetorheological flexible actuator were analyzed, and the physical design was optimized to determine the final structure of the magnetorheological flexible actuator. The simulation model of the magnetorheological flexible actuator is established in Matlab/Simulink, so as to obtain the relationship between excitation current and maximum output torque of the magnetorheological flexible actuator. Finally, to analyze the effect of variable stiffness, an experimental prototype and a control system were fabricated to test the maximum torque of flexible actuator under different current. The results of position step test and collision test show that the new type of flexible actuator based on magnetorheological fluid designed realizes the function of variable stiffness, and its control system also meets the requirements.
{"title":"Design method and experiment of robot joint flexible drive based on magnetorheological fluid","authors":"Wendong Wang, Hanhao Li, Menghan Xiao, L. Qin","doi":"10.1109/CACRE50138.2020.9230351","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230351","url":null,"abstract":"Traditional high-rigidity robots are difficult to meet the safety of human-machine interaction and the self-adaptability of complex environments. This paper proposed a new design method of variable stiffness flexible actuator for robot joints based on magnetorheological fluid, and completed relevant experiments. The magnetic field simulation results of the magnetorheological flexible actuator were analyzed, and the physical design was optimized to determine the final structure of the magnetorheological flexible actuator. The simulation model of the magnetorheological flexible actuator is established in Matlab/Simulink, so as to obtain the relationship between excitation current and maximum output torque of the magnetorheological flexible actuator. Finally, to analyze the effect of variable stiffness, an experimental prototype and a control system were fabricated to test the maximum torque of flexible actuator under different current. The results of position step test and collision test show that the new type of flexible actuator based on magnetorheological fluid designed realizes the function of variable stiffness, and its control system also meets the requirements.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124917310","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 : 2020-09-01DOI: 10.1109/CACRE50138.2020.9230143
Lu Han, Xianjun Shi, Yuyao Zhai, Jiapeng Lv, Yufeng Qin, Taoyu Wang
The multi-signal flow graph model is the most widely used Testability model, but its ability to handle uncertain information is weak, and the failure information utilization rate is low, which cannot provide researchers with more data support. Moreover, the model cannot update the structure and parameters through learning. The model established may not be suitable for all stages of the entire life cycle of the equipment, and there is a risk of requiring multiple modeling. In order to solve the above problems, a Bayesian network was introduced and a MSFG-BN combined model was proposed. The multi-signal flow graph was used to reduce the difficulty of modeling the Bayesian network. The Bayesian network was used to increase the processing of uncertain information and improve the information utilization. At the same time, with the help of Bayesian network learning capabilities, the model can update its own structure and parameters, improving the applicability of the model at all stages. It has been verified that the model can play its role effectively.
{"title":"Testability modeling method based on MSFG-BN composite model","authors":"Lu Han, Xianjun Shi, Yuyao Zhai, Jiapeng Lv, Yufeng Qin, Taoyu Wang","doi":"10.1109/CACRE50138.2020.9230143","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230143","url":null,"abstract":"The multi-signal flow graph model is the most widely used Testability model, but its ability to handle uncertain information is weak, and the failure information utilization rate is low, which cannot provide researchers with more data support. Moreover, the model cannot update the structure and parameters through learning. The model established may not be suitable for all stages of the entire life cycle of the equipment, and there is a risk of requiring multiple modeling. In order to solve the above problems, a Bayesian network was introduced and a MSFG-BN combined model was proposed. The multi-signal flow graph was used to reduce the difficulty of modeling the Bayesian network. The Bayesian network was used to increase the processing of uncertain information and improve the information utilization. At the same time, with the help of Bayesian network learning capabilities, the model can update its own structure and parameters, improving the applicability of the model at all stages. It has been verified that the model can play its role effectively.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127947840","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 : 2020-09-01DOI: 10.1109/CACRE50138.2020.9229994
Sun Feng, B. Li
In view of the problems of low image brightness, obvious noise, poor contrast, and difficulty in obtaining detailed information in dark areas under low light environment, we propose to combine the improved particle swarm optimization algorithm with a single-scale Retinex algorithm. We convert the original RGB image to the HSI color space,and each pixel of the low light image is classified separately. The adjacent pixels are calculated with the same kernel function value. The pixels with different H values are use different filter templates to complete the image enhancement. And solve the problem of image halo effect and color distortion caused by the real-time operation of the Retinex algorithm spatial filtering. Experimental results show that the proposed algorithm performs well in brightness, contrast, and color restoration.
{"title":"Low-light color image enhancement based on Retinex","authors":"Sun Feng, B. Li","doi":"10.1109/CACRE50138.2020.9229994","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9229994","url":null,"abstract":"In view of the problems of low image brightness, obvious noise, poor contrast, and difficulty in obtaining detailed information in dark areas under low light environment, we propose to combine the improved particle swarm optimization algorithm with a single-scale Retinex algorithm. We convert the original RGB image to the HSI color space,and each pixel of the low light image is classified separately. The adjacent pixels are calculated with the same kernel function value. The pixels with different H values are use different filter templates to complete the image enhancement. And solve the problem of image halo effect and color distortion caused by the real-time operation of the Retinex algorithm spatial filtering. Experimental results show that the proposed algorithm performs well in brightness, contrast, and color restoration.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129920144","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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