Various communication-based computer network technologies have penetrated the lives of people because of the widespread use of smartphones and the rapid development of computer network technology. In social communication, people can not only transmit information through various language messages (such as speech, vocabulary, and sentences), but also transmit emotions and attitudes through Paralanguage Cues (such as tones, body posture and facial expression). However, the lack of expression, tone, gestures, and other non-verbal symbols in online communication will affect the transmission of information. To solve this problem, various expressions of Internet emoticons have emerged, such as emojis and stickers. In order to explore the differences between paralanguage and language in Internet communication, we reviewed the literature findings based on ERP technology （i.e., event related potentials technology can provide a more accurate time-window for the brain to respond to events in the last 20 years and found that the early neural mechanisms (activation of attention and configuration recognition around 100-200milliseconds activated in cerebral cortex) of paralanguage based on Internet network are generally similar to those induced by language. In addition, the Neural mechanism of visual paralanguage is like language, also can configuration cognition (around 200 milliseconds), and semantic activation in the middle stage (around 400 milliseconds) as well as reanalysis of syntactic processing in the later stage (around 600 milliseconds).
{"title":"Neural mechanism of visual paralanguage based on computer network","authors":"Kai Zhang, Li Zhang","doi":"10.1117/12.2669543","DOIUrl":"https://doi.org/10.1117/12.2669543","url":null,"abstract":"Various communication-based computer network technologies have penetrated the lives of people because of the widespread use of smartphones and the rapid development of computer network technology. In social communication, people can not only transmit information through various language messages (such as speech, vocabulary, and sentences), but also transmit emotions and attitudes through Paralanguage Cues (such as tones, body posture and facial expression). However, the lack of expression, tone, gestures, and other non-verbal symbols in online communication will affect the transmission of information. To solve this problem, various expressions of Internet emoticons have emerged, such as emojis and stickers. In order to explore the differences between paralanguage and language in Internet communication, we reviewed the literature findings based on ERP technology （i.e., event related potentials technology can provide a more accurate time-window for the brain to respond to events in the last 20 years and found that the early neural mechanisms (activation of attention and configuration recognition around 100-200milliseconds activated in cerebral cortex) of paralanguage based on Internet network are generally similar to those induced by language. In addition, the Neural mechanism of visual paralanguage is like language, also can configuration cognition (around 200 milliseconds), and semantic activation in the middle stage (around 400 milliseconds) as well as reanalysis of syntactic processing in the later stage (around 600 milliseconds).","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114980501","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}
With the rapid development of smart grid technology, more and more attention has been paid to the stability of the power grid. When the power grid fails, the dispatch center will receive various types of data, including the PMU data collected by the PMU (Power Management Unit) device used by the Wide Area Monitoring System (WAMS) and the data collected by the Supervisory Control System for Data Acquisition and Control (SCADA). Alarm information data, they describe the same grid fault from different dimensions. At present, the power grid fault diagnosis based on PMU data and alarm information texts has been fully studied, but the information source is single, and it is difficult to ensure the accuracy of the diagnosis results when complex faults and multiple faults occur in the power grid. This paper starts with the information source of power grid fault diagnosis and develops a power grid fault diagnosis method that integrates the dual data sources of PMU and alarm information: 1. effectively connect alarm message text and PMU based on fault events. 2. complete the fusion of PMU and alarm information to improve the scope and accuracy of power grid fault diagnosis. Finally, the simulation fault data is used to test. The experimental results show that the accuracy of fault diagnosis of dual data source fusion is higher than that of single data.
{"title":"Power grid fault diagnosis method based on alarm information and PMU fusion","authors":"Jiang Liu, Ling Zheng, Xu Zhang, Zixing Guo","doi":"10.1117/12.2668200","DOIUrl":"https://doi.org/10.1117/12.2668200","url":null,"abstract":"With the rapid development of smart grid technology, more and more attention has been paid to the stability of the power grid. When the power grid fails, the dispatch center will receive various types of data, including the PMU data collected by the PMU (Power Management Unit) device used by the Wide Area Monitoring System (WAMS) and the data collected by the Supervisory Control System for Data Acquisition and Control (SCADA). Alarm information data, they describe the same grid fault from different dimensions. At present, the power grid fault diagnosis based on PMU data and alarm information texts has been fully studied, but the information source is single, and it is difficult to ensure the accuracy of the diagnosis results when complex faults and multiple faults occur in the power grid. This paper starts with the information source of power grid fault diagnosis and develops a power grid fault diagnosis method that integrates the dual data sources of PMU and alarm information: 1. effectively connect alarm message text and PMU based on fault events. 2. complete the fusion of PMU and alarm information to improve the scope and accuracy of power grid fault diagnosis. Finally, the simulation fault data is used to test. The experimental results show that the accuracy of fault diagnosis of dual data source fusion is higher than that of single data.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126849222","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}
Jiancheng Liu, Zhenming Wang, Zaikun Han, Yinglong Feng, Gang Hou
In harsh environments such as rain, snow, fog, and haze, the target perception capability of the optoelectronic system is seriously reduced. At the same time, the embedded image processing hardware platform completes high-definition video image preprocessing, target detection and other image processing tasks with slow response and time-consuming. The key video frame decoding proposed in this paper reduces the requirement of the tracker on the computing power of the system, and the image enhancement reduces the influence of the environment on the tracking effect. At the same time, the target tracking problem is converted into a "detection-prediction-tracking" problem. The detection model obtains the target position of the current video frame in real time, and the prediction model introduces the historical motion information of the target to predict the current position of the target. The tracker determines the target position of the detection model and the prediction model. Confidence tracking results are obtained after scoring. The experimental results show that the method can solve the influence of target deformation and occlusion and harsh environment on the tracking results to a certain extent, reduce the loss rate of tracking targets, and improve the accuracy and stability of tracking.
{"title":"Research on multi-target tracking method based on Kalman filter and deep learning","authors":"Jiancheng Liu, Zhenming Wang, Zaikun Han, Yinglong Feng, Gang Hou","doi":"10.1117/12.2667871","DOIUrl":"https://doi.org/10.1117/12.2667871","url":null,"abstract":"In harsh environments such as rain, snow, fog, and haze, the target perception capability of the optoelectronic system is seriously reduced. At the same time, the embedded image processing hardware platform completes high-definition video image preprocessing, target detection and other image processing tasks with slow response and time-consuming. The key video frame decoding proposed in this paper reduces the requirement of the tracker on the computing power of the system, and the image enhancement reduces the influence of the environment on the tracking effect. At the same time, the target tracking problem is converted into a \"detection-prediction-tracking\" problem. The detection model obtains the target position of the current video frame in real time, and the prediction model introduces the historical motion information of the target to predict the current position of the target. The tracker determines the target position of the detection model and the prediction model. Confidence tracking results are obtained after scoring. The experimental results show that the method can solve the influence of target deformation and occlusion and harsh environment on the tracking results to a certain extent, reduce the loss rate of tracking targets, and improve the accuracy and stability of tracking.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115059455","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}
This paper proposes a song accompaniment generation method that combines audio analysis and symbolic music generation so that human music theory can be used to build a reinforcement learning model, training an agent to create music. The key to this algorithm is to extract music theory concepts from audio and a reward model that works well in reinforcement learning. However, some music theory rules are complex and challenging to describe. It is difficult to achieve competitive results only by hardcoding the reward. Therefore, to build an effective reward model, a neural network is used to evaluate the perceptual part of composition quality, and program discrimination is used to model easy-to-describe music theory, and the two work together. Experiments show that the proposed algorithm can generate accompaniment arrangements close to human composers, is compatible with various musical styles, and outperforms the baseline algorithm in multiple evaluation metrics.
{"title":"DJ-Agent: music theory directed a cappella accompaniment generation using deep reinforcement learning","authors":"Jiuming Jiang","doi":"10.1117/12.2667902","DOIUrl":"https://doi.org/10.1117/12.2667902","url":null,"abstract":"This paper proposes a song accompaniment generation method that combines audio analysis and symbolic music generation so that human music theory can be used to build a reinforcement learning model, training an agent to create music. The key to this algorithm is to extract music theory concepts from audio and a reward model that works well in reinforcement learning. However, some music theory rules are complex and challenging to describe. It is difficult to achieve competitive results only by hardcoding the reward. Therefore, to build an effective reward model, a neural network is used to evaluate the perceptual part of composition quality, and program discrimination is used to model easy-to-describe music theory, and the two work together. Experiments show that the proposed algorithm can generate accompaniment arrangements close to human composers, is compatible with various musical styles, and outperforms the baseline algorithm in multiple evaluation metrics.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115566441","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}
As the main way of underwater data transmission, acoustic communication is still limited by the low-level signal-to-noise ratio and channel capacity. The Orbital Angular Momentum (OAM) based wireless optical communication provides a new dimension to data transmission with an expanded channel capacity. We introduce the basic OAM multiplexing communication system, analyze the basic principle of its transmission process, and verify the feasibility of underwater vortex optical communication by simulation. On this basis, the influence of transmission distance and underwater turbulence on the communication system is studied. Our results show that the transmission performance of the system is better in the transmission range of 30 m, and the influence of turbulence on the system performance increases gradually with the increase of signal-to-noise ratio.
{"title":"Design and analysis of OAM-DM underwater wireless optical communication system","authors":"Jingyu Wang, Shaohua Zhou, Juan Li, Chengjin Wang","doi":"10.1117/12.2667334","DOIUrl":"https://doi.org/10.1117/12.2667334","url":null,"abstract":"As the main way of underwater data transmission, acoustic communication is still limited by the low-level signal-to-noise ratio and channel capacity. The Orbital Angular Momentum (OAM) based wireless optical communication provides a new dimension to data transmission with an expanded channel capacity. We introduce the basic OAM multiplexing communication system, analyze the basic principle of its transmission process, and verify the feasibility of underwater vortex optical communication by simulation. On this basis, the influence of transmission distance and underwater turbulence on the communication system is studied. Our results show that the transmission performance of the system is better in the transmission range of 30 m, and the influence of turbulence on the system performance increases gradually with the increase of signal-to-noise ratio.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116133568","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}
Based on Microsoft Kinect equipment, this paper adopts motion capture technology to collect human motion data in the actual training process of rhythmic gymnastics, designs and develops the functional module of motion data analysis combined with ASP.NET development environment, and integrates and packages other auxiliary functional modules to form an auxiliary training system of rhythmic gymnastics. Aiming at all kinds of problems in the teaching practice of rhythmic gymnastics in colleges and universities, the system will put forward a comprehensive application solution, which takes the physical movements, equipment movements and self-selected complete movements of rhythmic gymnastics students in daily training in colleges and universities as the research objects, takes the transformation and analysis of movement information data as the method, and takes the visual interaction at the network end as the display form. It greatly facilitates the practical application of students and teachers, effectively improves the training effect of students, achieves the purpose of auxiliary training, optimizes the teaching process of rhythmic gymnastics education, and further promotes the process of information teaching construction in colleges and universities.
{"title":"Design and application of rhythmic gymnastics auxiliary training system based on Kinect","authors":"Qinghua Zhuang","doi":"10.1117/12.2667911","DOIUrl":"https://doi.org/10.1117/12.2667911","url":null,"abstract":"Based on Microsoft Kinect equipment, this paper adopts motion capture technology to collect human motion data in the actual training process of rhythmic gymnastics, designs and develops the functional module of motion data analysis combined with ASP.NET development environment, and integrates and packages other auxiliary functional modules to form an auxiliary training system of rhythmic gymnastics. Aiming at all kinds of problems in the teaching practice of rhythmic gymnastics in colleges and universities, the system will put forward a comprehensive application solution, which takes the physical movements, equipment movements and self-selected complete movements of rhythmic gymnastics students in daily training in colleges and universities as the research objects, takes the transformation and analysis of movement information data as the method, and takes the visual interaction at the network end as the display form. It greatly facilitates the practical application of students and teachers, effectively improves the training effect of students, achieves the purpose of auxiliary training, optimizes the teaching process of rhythmic gymnastics education, and further promotes the process of information teaching construction in colleges and universities.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114153283","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}
At present, generative adaptive networks (GAN), has become a popular module in deep learning. GAN is very effective in image generation and image style migration. At present, the research on the migration of image style is focused on images such as oil painting and landscape painting, and lacks the research on the conversion between object images. This paper extends the style transfer technology to object recognition, uses CycleGAN method to learn the mapping relationship between zebra and horse, and realizes the transformation between zebra and horse. Viewing the generation effect of different learning methods by changing the learning times and learning rate policy. This work realizes the conversion between zebra and horse, and shows the generated pictures under different training times and different learning situations. Under the same training times, the conversion effect from horse to zebra will be better. After a certain number of trainings, the training effect will gradually decline. The conversion effect of the same type will be improved with the increase of training times. Different learning rate policies will bring different generation effects.
{"title":"The study of object transformation based on CycleGAN","authors":"Junqing Wang","doi":"10.1117/12.2667890","DOIUrl":"https://doi.org/10.1117/12.2667890","url":null,"abstract":"At present, generative adaptive networks (GAN), has become a popular module in deep learning. GAN is very effective in image generation and image style migration. At present, the research on the migration of image style is focused on images such as oil painting and landscape painting, and lacks the research on the conversion between object images. This paper extends the style transfer technology to object recognition, uses CycleGAN method to learn the mapping relationship between zebra and horse, and realizes the transformation between zebra and horse. Viewing the generation effect of different learning methods by changing the learning times and learning rate policy. This work realizes the conversion between zebra and horse, and shows the generated pictures under different training times and different learning situations. Under the same training times, the conversion effect from horse to zebra will be better. After a certain number of trainings, the training effect will gradually decline. The conversion effect of the same type will be improved with the increase of training times. Different learning rate policies will bring different generation effects.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129772099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The unattended operation of substations has become the development trend of today's power system. The traditional substation management system has outstanding problems such as complex management process and inability to realize remote unmanned control. In order to solve the above problems, electronic visa technology is proposed to realize remote unmanned permit, to realize real-time detection of remote specific targets using detection algorithms, and to track and record specific targets and behaviors using target-tracking algorithms. This system has been promoted and used in various substations in Yuxi City, Yunnan Province, solving the problem of remote safety control in the process of power production.
{"title":"AI-based substation construction remote management and violation detection system","authors":"Quan Li, Kai Yan, Hao Li, Yang Yang","doi":"10.1117/12.2667408","DOIUrl":"https://doi.org/10.1117/12.2667408","url":null,"abstract":"The unattended operation of substations has become the development trend of today's power system. The traditional substation management system has outstanding problems such as complex management process and inability to realize remote unmanned control. In order to solve the above problems, electronic visa technology is proposed to realize remote unmanned permit, to realize real-time detection of remote specific targets using detection algorithms, and to track and record specific targets and behaviors using target-tracking algorithms. This system has been promoted and used in various substations in Yuxi City, Yunnan Province, solving the problem of remote safety control in the process of power production.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124028925","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}
Combined with the actual needs of scoring in line dancing competition, an Android-based competition scoring system is designed. The system is mainly divided into Android terminal and PC terminal. The administrator can enter the main interface of the PC terminal by entering the correct username and password, and perform user management, parameter setting, data import, printing score table, and data export operations. On the Android side, the judges can perform user management, parameter setting, scoring and other operations after entering the correct username and password. The implementation of the system effectively improves the efficiency of scoring in the line dance competitions and ensures the correctness of the final score.
{"title":"Design and implementation of art grading line dance scoring system based on Android and SQLite","authors":"Ting Meng, Han Li","doi":"10.1117/12.2667704","DOIUrl":"https://doi.org/10.1117/12.2667704","url":null,"abstract":"Combined with the actual needs of scoring in line dancing competition, an Android-based competition scoring system is designed. The system is mainly divided into Android terminal and PC terminal. The administrator can enter the main interface of the PC terminal by entering the correct username and password, and perform user management, parameter setting, data import, printing score table, and data export operations. On the Android side, the judges can perform user management, parameter setting, scoring and other operations after entering the correct username and password. The implementation of the system effectively improves the efficiency of scoring in the line dance competitions and ensures the correctness of the final score.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121723007","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}
Yikai Sun, Ming Gao, Chuyuan Yang, Dong Yuan, Penghui Zhu, Hao Dong, Neng Zhou
The accuracy of traditional stock trading prediction is lacking, and stock trading is risky, so this study tries to use machine learning models for stock trading change prediction in big data. This study proposes an algorithm based on the combination of the MAD (Median Absolute Deviation) method and Q-learning model to improve the accuracy of predicting stock trades. The simulation results based on "^GSPC" data show that the new method can better help predict stocks. Of course, this study has some limitations, as the method currently adopts a combination of traditional econometric models and machine learning models, which has some efficiency problems. However, the method proposed in this study is innovative and can provide new ideas for stock price trend prediction and provide new research methods and perspectives for stock market practitioners.
{"title":"Research on stock trading prediction based on MAD and Q-learning","authors":"Yikai Sun, Ming Gao, Chuyuan Yang, Dong Yuan, Penghui Zhu, Hao Dong, Neng Zhou","doi":"10.1117/12.2668175","DOIUrl":"https://doi.org/10.1117/12.2668175","url":null,"abstract":"The accuracy of traditional stock trading prediction is lacking, and stock trading is risky, so this study tries to use machine learning models for stock trading change prediction in big data. This study proposes an algorithm based on the combination of the MAD (Median Absolute Deviation) method and Q-learning model to improve the accuracy of predicting stock trades. The simulation results based on \"^GSPC\" data show that the new method can better help predict stocks. Of course, this study has some limitations, as the method currently adopts a combination of traditional econometric models and machine learning models, which has some efficiency problems. However, the method proposed in this study is innovative and can provide new ideas for stock price trend prediction and provide new research methods and perspectives for stock market practitioners.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132010702","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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