Narendran Thangarajan, Nella Green, Amarnath Gupta, S. Little, Nadir Weibel
The number of new HIV infections per year in the U.S. has remained stable at 50,000 since the 1990's. To improve epidemic control, we need more public health tools that are aimed at decreasing HIV transmission. Online social networks and their real-time communication capabilities are emerging as novel platforms for conducting epidemiological studies and recent research has outlined the feasibility of using Twitter to study HIV epidemiology. We propose a new method for identifying HIV at-risk populations using publicly available data from Twitter as an indicator of HIV risk. In this paper we take existing approaches further by introducing a new infrastructure to collect, classify, query and visualize these data, and we show the feasibility of identifying and characterizing HIV at-risk populations in the San Diego area at a finer level of granularity.
{"title":"Analyzing social media to characterize local HIV at-risk populations","authors":"Narendran Thangarajan, Nella Green, Amarnath Gupta, S. Little, Nadir Weibel","doi":"10.1145/2811780.2811923","DOIUrl":"https://doi.org/10.1145/2811780.2811923","url":null,"abstract":"The number of new HIV infections per year in the U.S. has remained stable at 50,000 since the 1990's. To improve epidemic control, we need more public health tools that are aimed at decreasing HIV transmission. Online social networks and their real-time communication capabilities are emerging as novel platforms for conducting epidemiological studies and recent research has outlined the feasibility of using Twitter to study HIV epidemiology. We propose a new method for identifying HIV at-risk populations using publicly available data from Twitter as an indicator of HIV risk. In this paper we take existing approaches further by introducing a new infrastructure to collect, classify, query and visualize these data, and we show the feasibility of identifying and characterizing HIV at-risk populations in the San Diego area at a finer level of granularity.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133634086","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 wireless technologies such as smartphones, tablets, and other handheld devices continue to permeate into every aspect of everyday life, hospitals have attempted to integrate them into the clinical workflow. Similarly, wireless sensor devices are being used in healthcare institutions that have the infrastructure to support the technology. In this paper, we describe the current state and recent trends of hospital wireless networks, physician use of mobile devices, and medical device technology that interfaces with electronic medical records.
{"title":"Wireless networks, physician handhelds use, and medical devices in U.S. hospitals","authors":"R. Uy, F. Kury, P. Fontelo","doi":"10.1145/2811780.2811956","DOIUrl":"https://doi.org/10.1145/2811780.2811956","url":null,"abstract":"As wireless technologies such as smartphones, tablets, and other handheld devices continue to permeate into every aspect of everyday life, hospitals have attempted to integrate them into the clinical workflow. Similarly, wireless sensor devices are being used in healthcare institutions that have the infrastructure to support the technology. In this paper, we describe the current state and recent trends of hospital wireless networks, physician use of mobile devices, and medical device technology that interfaces with electronic medical records.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115153255","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}
In this paper, an image-based non-obtrusive indoor navigation system for the visually impaired is presented. The system makes use of image processing algorithms to extract floor regions from images captured from a wearable eye-mounted heads-up display device. A prototype system called VirtualEyes is presented, where floor regions are analyzed to provide the user with voiced guidance for navigation. The floor detection algorithm was tested against over 200 images captured from indoor corridors of various lighting conditions and achieved up to 81.8% accuracy.
{"title":"Wearable computing for image-based indoor navigation of the visually impaired","authors":"Gladys Garcia, A. Nahapetian","doi":"10.1145/2811780.2811959","DOIUrl":"https://doi.org/10.1145/2811780.2811959","url":null,"abstract":"In this paper, an image-based non-obtrusive indoor navigation system for the visually impaired is presented. The system makes use of image processing algorithms to extract floor regions from images captured from a wearable eye-mounted heads-up display device. A prototype system called VirtualEyes is presented, where floor regions are analyzed to provide the user with voiced guidance for navigation. The floor detection algorithm was tested against over 200 images captured from indoor corridors of various lighting conditions and achieved up to 81.8% accuracy.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116361503","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}
Harishchandra Dubey, J. C. Goldberg, M. Abtahi, L. Mahler, K. Mankodiya
About 90 percent of people with Parkinson's disease (PD) experience decreased functional communication due to the presence of voice and speech disorders associated with dysarthria that can be characterized by monotony of pitch (or fundamental frequency), reduced loudness, irregular rate of speech, imprecise consonants, and changes in voice quality. Speech-language pathologists (SLPs) work with patients with PD to improve speech intelligibility using various intensive in-clinic speech treatments. SLPs also prescribe home exercises to enhance generalization of speech strategies outside of the treatment room. Even though speech therapies are found to be highly effective in improving vocal loudness and speech quality, patients with PD find it difficult to follow the prescribed exercise regimes outside the clinic and to continue exercises once the treatment is completed. SLPs need techniques to monitor compliance and accuracy of their patients' exercises at home and in ecologically valid communication situations. We have designed EchoWear, a smartwatch-based system, to remotely monitor speech and voice exercises as prescribed by SLPs. We conducted a study of 6 individuals; three with PD and three healthy controls. To assess the performance of EchoWear technology compared with high-quality audio equipment obtained in a speech laboratory. Our preliminary analysis shows promising outcomes for using EchoWear in speech therapies for people with PD.
{"title":"EchoWear: smartwatch technology for voice and speech treatments of patients with Parkinson's disease","authors":"Harishchandra Dubey, J. C. Goldberg, M. Abtahi, L. Mahler, K. Mankodiya","doi":"10.1145/2811780.2811957","DOIUrl":"https://doi.org/10.1145/2811780.2811957","url":null,"abstract":"About 90 percent of people with Parkinson's disease (PD) experience decreased functional communication due to the presence of voice and speech disorders associated with dysarthria that can be characterized by monotony of pitch (or fundamental frequency), reduced loudness, irregular rate of speech, imprecise consonants, and changes in voice quality. Speech-language pathologists (SLPs) work with patients with PD to improve speech intelligibility using various intensive in-clinic speech treatments. SLPs also prescribe home exercises to enhance generalization of speech strategies outside of the treatment room. Even though speech therapies are found to be highly effective in improving vocal loudness and speech quality, patients with PD find it difficult to follow the prescribed exercise regimes outside the clinic and to continue exercises once the treatment is completed. SLPs need techniques to monitor compliance and accuracy of their patients' exercises at home and in ecologically valid communication situations. We have designed EchoWear, a smartwatch-based system, to remotely monitor speech and voice exercises as prescribed by SLPs. We conducted a study of 6 individuals; three with PD and three healthy controls. To assess the performance of EchoWear technology compared with high-quality audio equipment obtained in a speech laboratory. Our preliminary analysis shows promising outcomes for using EchoWear in speech therapies for people with PD.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124982781","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}
Children/Adolescents with Autism Spectrum Disorder (ASD) demonstrate communication skill deficits and often do not utilize appropriate turn-taking in conversations. Several intervention strategies have been designed to improve conversational skills, but assessing conversations and determining strategy effectiveness often prove to be complicated and time-consuming processes. In this paper, we present: (i) a lightweight smartphone-based conversational turn monitoring system which automatically measures turn-taking statistics of speakers involved in a conversation (thus significantly reducing the labor involved in determining intervention success); (ii) evaluations of the effectiveness of our proposed monitoring system using several collected conversational traces; (iii) a customizable Android application developed to teach students how to conduct conversations; and (iv) preliminary evaluations of the effectiveness of the Android application in improving the communication skills of adolescents with ASD/speech/language deficits using two unique communication skill rubrics designed by our speech therapist. Our preliminary evaluations show promising results of our proposed low-cost hybrid monitoring solution for tracking the conversational skills of students with communication skill deficits.
{"title":"A hybrid solution for monitoring conversational skills of children with special needs","authors":"L. Tian, M. Chuah, E. Cappellini","doi":"10.1145/2811780.2811922","DOIUrl":"https://doi.org/10.1145/2811780.2811922","url":null,"abstract":"Children/Adolescents with Autism Spectrum Disorder (ASD) demonstrate communication skill deficits and often do not utilize appropriate turn-taking in conversations. Several intervention strategies have been designed to improve conversational skills, but assessing conversations and determining strategy effectiveness often prove to be complicated and time-consuming processes. In this paper, we present: (i) a lightweight smartphone-based conversational turn monitoring system which automatically measures turn-taking statistics of speakers involved in a conversation (thus significantly reducing the labor involved in determining intervention success); (ii) evaluations of the effectiveness of our proposed monitoring system using several collected conversational traces; (iii) a customizable Android application developed to teach students how to conduct conversations; and (iv) preliminary evaluations of the effectiveness of the Android application in improving the communication skills of adolescents with ASD/speech/language deficits using two unique communication skill rubrics designed by our speech therapist. Our preliminary evaluations show promising results of our proposed low-cost hybrid monitoring solution for tracking the conversational skills of students with communication skill deficits.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131399754","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}
Mashfiqui Rabbi, J. Costa, F. Okeke, Max Schachere, Mi Zhang, Tanzeem Choudhury
Food journaling is an effective way to regulate excessive food intake. However manual food journaling is burdensome, and crowd-assisted food journaling has been explored to ease user burden. The crowd-assisted journaling uses a label & verify approach where an end-user uploads his/her food image and paid crowd-workers label content of the image. Then another set of crowd-workers verify the labels for correctness. In this paper, we propose an alternative approach where we label food images with only high performing labelers. Since high performing labelers generally provide good quality labels, our approach achieves high accuracy without verifying the food labels for correctness. We also propose a machine learning algorithm to automatically identify high performing crowd-labelers from a dataset of 3925 images collected over 5 months. Such automated identification of high performing workers and elimination of needless verification reduce cost of food labeling. Specially for large scale deployments where large number of images need to be labeled, our approach can reduce overall expenses by half.
{"title":"An intelligent crowd-worker selection approach for reliable content labeling of food images","authors":"Mashfiqui Rabbi, J. Costa, F. Okeke, Max Schachere, Mi Zhang, Tanzeem Choudhury","doi":"10.1145/2811780.2811955","DOIUrl":"https://doi.org/10.1145/2811780.2811955","url":null,"abstract":"Food journaling is an effective way to regulate excessive food intake. However manual food journaling is burdensome, and crowd-assisted food journaling has been explored to ease user burden. The crowd-assisted journaling uses a label & verify approach where an end-user uploads his/her food image and paid crowd-workers label content of the image. Then another set of crowd-workers verify the labels for correctness. In this paper, we propose an alternative approach where we label food images with only high performing labelers. Since high performing labelers generally provide good quality labels, our approach achieves high accuracy without verifying the food labels for correctness. We also propose a machine learning algorithm to automatically identify high performing crowd-labelers from a dataset of 3925 images collected over 5 months. Such automated identification of high performing workers and elimination of needless verification reduce cost of food labeling. Specially for large scale deployments where large number of images need to be labeled, our approach can reduce overall expenses by half.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130433109","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}
M. Patwardhan, R. Stoll, Derek B. Hamel, Ashish Amresh, K. Gary, A. Pina
This paper presents the design of an mHealth application for prevention and early intervention of childhood anxiety. The application is based on REACH, a preventative-early intervention protocol for childhood anxiety. This paper describes the multidisciplinary design process, sharing lessons learned in developing an effective mHealth application. This mHealth application is unique due to participant age, preventive-early intervention focus, and utilization of mobile technology in a situated manner. A design process inspired by user-centered leveraging key informant interviews was used to identify application features, including game based strategies and an animated motivational avatar. Validation was performed through external review and a usability study performed with target end users of the application. Results suggest overall satisfaction, ease of use, and increased motivation.
{"title":"Designing a mobile application to support the indicated prevention and early intervention of childhood anxiety","authors":"M. Patwardhan, R. Stoll, Derek B. Hamel, Ashish Amresh, K. Gary, A. Pina","doi":"10.1145/2811780.2811954","DOIUrl":"https://doi.org/10.1145/2811780.2811954","url":null,"abstract":"This paper presents the design of an mHealth application for prevention and early intervention of childhood anxiety. The application is based on REACH, a preventative-early intervention protocol for childhood anxiety. This paper describes the multidisciplinary design process, sharing lessons learned in developing an effective mHealth application. This mHealth application is unique due to participant age, preventive-early intervention focus, and utilization of mobile technology in a situated manner. A design process inspired by user-centered leveraging key informant interviews was used to identify application features, including game based strategies and an animated motivational avatar. Validation was performed through external review and a usability study performed with target end users of the application. Results suggest overall satisfaction, ease of use, and increased motivation.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123582312","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}
Maia L. Jacobs, James Clawson, Elizabeth D. Mynatt
Patient-centered technologies demonstrate great promise for users, however they often focus on solitary moments or singular tasks within a broader healthcare journey. We utilized a technology probe to investigate how patients managing long-term diseases use flexible health tools throughout their health journeys. Through a yearlong deployment, we provided 36 cancer patients with a suite of resources on customizable mobile tablets. The majority of our participants did engage with the technology throughout treatment and into survivorship. We analyzed participants' tablet adoption, usage patterns, and customization and describe how each of these influenced technology engagement and changes in use. Finally, we identified a set of lessons researchers can use to guide the design of future patient-centered technologies. Specifically, we discovered that customizable tools reveal insights into patients' goals and values, integrating health and non-health resources encourages participants to return to health resources when needed, and a need exists to expand our definition of health resources.
{"title":"Lessons learned from a yearlong deployment of customizable breast cancer tablet computers","authors":"Maia L. Jacobs, James Clawson, Elizabeth D. Mynatt","doi":"10.1145/2811780.2811951","DOIUrl":"https://doi.org/10.1145/2811780.2811951","url":null,"abstract":"Patient-centered technologies demonstrate great promise for users, however they often focus on solitary moments or singular tasks within a broader healthcare journey. We utilized a technology probe to investigate how patients managing long-term diseases use flexible health tools throughout their health journeys. Through a yearlong deployment, we provided 36 cancer patients with a suite of resources on customizable mobile tablets. The majority of our participants did engage with the technology throughout treatment and into survivorship. We analyzed participants' tablet adoption, usage patterns, and customization and describe how each of these influenced technology engagement and changes in use. Finally, we identified a set of lessons researchers can use to guide the design of future patient-centered technologies. Specifically, we discovered that customizable tools reveal insights into patients' goals and values, integrating health and non-health resources encourages participants to return to health resources when needed, and a need exists to expand our definition of health resources.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124333471","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}
A. Turchaninova, Ashik Khatri, Ilyas Uyanik, Ioannis T. Pavlidis
Physical activity is an area of life in which social influence plays a major role. Observing the activity of a sedentary person may cause the observer to exercise less; observing a persistently active person can serve as a motivating factor. The goal of this research is to determine how to optimally pair individuals in order to facilitate motivational relationships with respect to physical activity. This research performs an observational study of data collected from a mobile health and fitness application, iBurnCalorie, which allows users to follow each other in addition to tracking physical activity. Through this social feature, this study examines the influence of users on each other's activity patterns. Our preliminary results indicate that some users have chosen effective role models without any intervention. If this natural effect can be replicated, such a novel interventional networking feature could have a significant impact within iBurnCalorie and all similar applications.
{"title":"Role model in human physical activity","authors":"A. Turchaninova, Ashik Khatri, Ilyas Uyanik, Ioannis T. Pavlidis","doi":"10.1145/2811780.2811917","DOIUrl":"https://doi.org/10.1145/2811780.2811917","url":null,"abstract":"Physical activity is an area of life in which social influence plays a major role. Observing the activity of a sedentary person may cause the observer to exercise less; observing a persistently active person can serve as a motivating factor. The goal of this research is to determine how to optimally pair individuals in order to facilitate motivational relationships with respect to physical activity. This research performs an observational study of data collected from a mobile health and fitness application, iBurnCalorie, which allows users to follow each other in addition to tracking physical activity. Through this social feature, this study examines the influence of users on each other's activity patterns. Our preliminary results indicate that some users have chosen effective role models without any intervention. If this natural effect can be replicated, such a novel interventional networking feature could have a significant impact within iBurnCalorie and all similar applications.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125462922","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 majority of individuals with Parkinson's disease (PD) experience voice and speech difficulties at some point over the course of the disease. Voice therapy has been found to help improve voice and speech in individuals with PD, but the majority of these individuals do not enroll in voice therapy. The purpose of this study was to determine whether watching short videos about voice symptoms and treatment in Parkinson's disease influences readiness to change, stages of change, and self-efficacy in individuals with PD. Eight individuals with PD participated in the study. Fifteen videos were chosen, three representing each of the five stages of change. We chose videos from YouTube that represented variety in speakers, content, and genre. We found that readiness to change significantly increased after watching videos, suggesting that watching videos helped these individuals move closer to actively improving their voice and speech. In addition, five of the eight participants showed forward movement in stages of change. Finally, self-efficacy demonstrated a positive trend following video watching. Overall, our results demonstrate that watching videos available on the internet can influence individuals with Parkinson's disease in changing vocal behavior. Implications for future wireless health applications are described.
{"title":"Videos influence behavior change measures for voice and speech in individuals with Parkinson's disease","authors":"Lisa M. Kopf, S. Graetzer, Jina Huh","doi":"10.1145/2811780.2811932","DOIUrl":"https://doi.org/10.1145/2811780.2811932","url":null,"abstract":"The majority of individuals with Parkinson's disease (PD) experience voice and speech difficulties at some point over the course of the disease. Voice therapy has been found to help improve voice and speech in individuals with PD, but the majority of these individuals do not enroll in voice therapy. The purpose of this study was to determine whether watching short videos about voice symptoms and treatment in Parkinson's disease influences readiness to change, stages of change, and self-efficacy in individuals with PD. Eight individuals with PD participated in the study. Fifteen videos were chosen, three representing each of the five stages of change. We chose videos from YouTube that represented variety in speakers, content, and genre. We found that readiness to change significantly increased after watching videos, suggesting that watching videos helped these individuals move closer to actively improving their voice and speech. In addition, five of the eight participants showed forward movement in stages of change. Finally, self-efficacy demonstrated a positive trend following video watching. Overall, our results demonstrate that watching videos available on the internet can influence individuals with Parkinson's disease in changing vocal behavior. Implications for future wireless health applications are described.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127752386","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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