Rainfall is a very important weather variable, especially for agriculture. Unfortunately, rain gauges fail frequently. This paper describes a conditional mixture model for predicting the presence and amount of rain at a weather station based on measurements at nearby stations. The model is evaluated on simulated faults (blocked rain gauges) inserted into observations from the Oklahoma Mesonet. Using the negative log-likelihood as an anomaly score, we evaluate the area under the ROC and precision-recall curves for detecting these faults. The results show very good performance.
{"title":"Conditional mixture models for precipitation data quality control","authors":"Tadesse Zemicheal, Thomas G. Dietterich","doi":"10.1145/3378393.3403823","DOIUrl":"https://doi.org/10.1145/3378393.3403823","url":null,"abstract":"Rainfall is a very important weather variable, especially for agriculture. Unfortunately, rain gauges fail frequently. This paper describes a conditional mixture model for predicting the presence and amount of rain at a weather station based on measurements at nearby stations. The model is evaluated on simulated faults (blocked rain gauges) inserted into observations from the Oklahoma Mesonet. Using the negative log-likelihood as an anomaly score, we evaluate the area under the ROC and precision-recall curves for detecting these faults. The results show very good performance.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125266365","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}
Smart technologies have recently come under scrutiny for automating inequality. Given the current push towards developing and implementing smart cities policies that affect transportation systems in places like Kampala and Kigali, it is important to examine how the different modes of transportation meet the needs of diverse passengers and identify opportunities for technology to address any inequities. Prior studies have focused on the impact of informal public transportation on government policy and examined drivers' perspectives, but they largely overlooked the experiences of passengers and other industry stakeholders. In this study, we conducted interviews and surveys with public transportation riders with different disabilities as well as other stakeholders, including transport and financial technology creators. Our findings illuminate inequities in the transportation system surrounding discrimination and harassment, influence of ability on preferred transportation modes despite inaccessible interfaces, and influence of perceived social hierarchical structures on innovation. We present insights into how passengers appropriate technology to overcome challenges, and we uncover opportunities for technology to fill additional gaps. Lastly, we discuss how these findings support emergent frameworks such as aspiration-based design, and we present potential envisioned futures of technology for informal public transportation.
{"title":"\"You are asking me to pay for my legs\": Exploring the Experiences, Perceptions, and Aspirations of Informal Public Transportation Users in Kampala and Kigali","authors":"Lynn Kirabo, E. Carter, Aaron Steinfeld","doi":"10.1145/3378393.3402269","DOIUrl":"https://doi.org/10.1145/3378393.3402269","url":null,"abstract":"Smart technologies have recently come under scrutiny for automating inequality. Given the current push towards developing and implementing smart cities policies that affect transportation systems in places like Kampala and Kigali, it is important to examine how the different modes of transportation meet the needs of diverse passengers and identify opportunities for technology to address any inequities. Prior studies have focused on the impact of informal public transportation on government policy and examined drivers' perspectives, but they largely overlooked the experiences of passengers and other industry stakeholders. In this study, we conducted interviews and surveys with public transportation riders with different disabilities as well as other stakeholders, including transport and financial technology creators. Our findings illuminate inequities in the transportation system surrounding discrimination and harassment, influence of ability on preferred transportation modes despite inaccessible interfaces, and influence of perceived social hierarchical structures on innovation. We present insights into how passengers appropriate technology to overcome challenges, and we uncover opportunities for technology to fill additional gaps. Lastly, we discuss how these findings support emergent frameworks such as aspiration-based design, and we present potential envisioned futures of technology for informal public transportation.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125633518","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}
Public services, such as public health supply chains, in low- and middle-income countries can be characterized as low-resource environments, where both infrastructure and human capacity are limited. There is no strong culture of data recording or use, with ad hoc reporting practices, poor planning and lack of coordination. All these lead to poor supply chain performance, thereby restricting access to medicines, and eventually resulting in poorer health and mortality. We describe the ground-up design of Logistimo SCM, a supply chain management software, offered as a service, that has enabled a transformative change in public health supply chains, leading to improved performance. Our approach is rooted in bottom-up empowerment of the human value chain, based on the principle that higher self-efficacy amongst health workers and managers can lead to sustained changes in data recording and use behaviors. This is achieved through a service that optimizes data collection effort, maximizes supervisory bandwidth, promotes proactive and collaborative operations, and enables frictionless performance recognition. We describe the guiding principles of inclusive software service design and four mechanisms that enable the appropriate conditions for stimulating a behavior of data recording and use. We demonstrate their effectiveness in achieving good supply chain performance through case studies in India and Africa. The principles and methods discussed here are generic and can be applied to any low-resource environment.
{"title":"Enabling sustainable behaviors of data recording and use in low-resource supply chains","authors":"A. Ramanujapuram, Charan Kumar Malemarpuram","doi":"10.1145/3378393.3402248","DOIUrl":"https://doi.org/10.1145/3378393.3402248","url":null,"abstract":"Public services, such as public health supply chains, in low- and middle-income countries can be characterized as low-resource environments, where both infrastructure and human capacity are limited. There is no strong culture of data recording or use, with ad hoc reporting practices, poor planning and lack of coordination. All these lead to poor supply chain performance, thereby restricting access to medicines, and eventually resulting in poorer health and mortality. We describe the ground-up design of Logistimo SCM, a supply chain management software, offered as a service, that has enabled a transformative change in public health supply chains, leading to improved performance. Our approach is rooted in bottom-up empowerment of the human value chain, based on the principle that higher self-efficacy amongst health workers and managers can lead to sustained changes in data recording and use behaviors. This is achieved through a service that optimizes data collection effort, maximizes supervisory bandwidth, promotes proactive and collaborative operations, and enables frictionless performance recognition. We describe the guiding principles of inclusive software service design and four mechanisms that enable the appropriate conditions for stimulating a behavior of data recording and use. We demonstrate their effectiveness in achieving good supply chain performance through case studies in India and Africa. The principles and methods discussed here are generic and can be applied to any low-resource environment.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"1006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123107867","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}
Chahat Bansal, Aditi Singla, A. Singh, Hari Om Ahlawat, M. Jain, Prachi Singh, Prashant Kumar, Ritesh Saha, S. Taparia, S. Yadav, Aaditeshwar Seth
With growing urbanization, being able to track urban change is important to plan cities better. Land-use classification of satellite data has been actively used for this purpose. We augment this analysis through the use of crowd-sourced data about the road network in cities, obtained through the Open Street Maps platform. We develop several indicators to quantify the spatial layout of cities and how different localities have changed over time. We apply our methods to study seven Indian cities (Bangalore, Chennai, Delhi, Gurgaon, Hyderabad, Kolkata, and Mumbai) and relate our findings with that of other studies. Our contribution lies in synthesizing two freely available datasets of satellite imagery and road information to develop a series of standardized indicators for different aspects of urbanization, which can serve to compare various cities with one another and to track change happening in the cities over time.
{"title":"Characterizing The Evolution Of Indian Cities Using Satellite Imagery And Open Street Maps","authors":"Chahat Bansal, Aditi Singla, A. Singh, Hari Om Ahlawat, M. Jain, Prachi Singh, Prashant Kumar, Ritesh Saha, S. Taparia, S. Yadav, Aaditeshwar Seth","doi":"10.1145/3378393.3402258","DOIUrl":"https://doi.org/10.1145/3378393.3402258","url":null,"abstract":"With growing urbanization, being able to track urban change is important to plan cities better. Land-use classification of satellite data has been actively used for this purpose. We augment this analysis through the use of crowd-sourced data about the road network in cities, obtained through the Open Street Maps platform. We develop several indicators to quantify the spatial layout of cities and how different localities have changed over time. We apply our methods to study seven Indian cities (Bangalore, Chennai, Delhi, Gurgaon, Hyderabad, Kolkata, and Mumbai) and relate our findings with that of other studies. Our contribution lies in synthesizing two freely available datasets of satellite imagery and road information to develop a series of standardized indicators for different aspects of urbanization, which can serve to compare various cities with one another and to track change happening in the cities over time.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134160033","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}
Godliver Owomugisha, Pius K. B. Mugagga, F. Melchert, Ernest Mwebaze, J. Quinn, Michael Biehl
We present our initial proof of concept study towards the development of a low-cost 3-D printed smartphone add-on spectrometer. The study aimed at developing a cheap technology (less than 5 USD) to be used for detection of crop diseases in the field using spectrometry. Previously, we experimented with the problem of disease diagnosis using an off-the-shelf and expensive spectrometer (approximately 1000 USD). However, in real world practice, this off-the-shelf device can not be used by typical users (smallholder farmers). Therefore, the study presents a tool that is cheap and user friendly. We present preliminary results and identify requirements for a future version aiming at an accurate diagnostic technology to be used in the field before disease symptoms are visibly seen by the naked eye. Evaluation shows performance of the tool is better than random however below performance of an industry grade spectrometer.
{"title":"A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field","authors":"Godliver Owomugisha, Pius K. B. Mugagga, F. Melchert, Ernest Mwebaze, J. Quinn, Michael Biehl","doi":"10.1145/3378393.3402252","DOIUrl":"https://doi.org/10.1145/3378393.3402252","url":null,"abstract":"We present our initial proof of concept study towards the development of a low-cost 3-D printed smartphone add-on spectrometer. The study aimed at developing a cheap technology (less than 5 USD) to be used for detection of crop diseases in the field using spectrometry. Previously, we experimented with the problem of disease diagnosis using an off-the-shelf and expensive spectrometer (approximately 1000 USD). However, in real world practice, this off-the-shelf device can not be used by typical users (smallholder farmers). Therefore, the study presents a tool that is cheap and user friendly. We present preliminary results and identify requirements for a future version aiming at an accurate diagnostic technology to be used in the field before disease symptoms are visibly seen by the naked eye. Evaluation shows performance of the tool is better than random however below performance of an industry grade spectrometer.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130291249","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}
Waylon Brunette, Clarice Larson, Shourya Jain, Aeron Langford, Y. Low, Andrew Siew, Richard J. Anderson
This paper explores the challenge of taking Global Goods software to international scale. Global Goods software is non-commercial software designed to support global development goals. We argue that a fundamental challenge behind this type of software is the different roles of the global organizations that fund projects, the country leadership that controls implementation, and the actual users of the software. To address this, it necessary to have a design process that balances interests of stakeholders and a technical design that allows for modularity and extensibility. We present a case study of an application for country level management of the immunization cold chain that we have developed and contrast it with major Global Goods software systems such as DHIS2 and OpenMRS. The contributions of the work include the design of a pipeline for building a Global Goods application that is deployed across multiple countries, a collection of lessons learned during system design and implementation, and a comparison of extensibility strategies of different global goods applications.
{"title":"Global Goods Software for the Immunization Cold Chain","authors":"Waylon Brunette, Clarice Larson, Shourya Jain, Aeron Langford, Y. Low, Andrew Siew, Richard J. Anderson","doi":"10.1145/3378393.3402278","DOIUrl":"https://doi.org/10.1145/3378393.3402278","url":null,"abstract":"This paper explores the challenge of taking Global Goods software to international scale. Global Goods software is non-commercial software designed to support global development goals. We argue that a fundamental challenge behind this type of software is the different roles of the global organizations that fund projects, the country leadership that controls implementation, and the actual users of the software. To address this, it necessary to have a design process that balances interests of stakeholders and a technical design that allows for modularity and extensibility. We present a case study of an application for country level management of the immunization cold chain that we have developed and contrast it with major Global Goods software systems such as DHIS2 and OpenMRS. The contributions of the work include the design of a pipeline for building a Global Goods application that is deployed across multiple countries, a collection of lessons learned during system design and implementation, and a comparison of extensibility strategies of different global goods applications.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128925561","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 concept of competitive cities has been spreading greatly over the years; a way to measure the advancement of cities economically speaking using several socio-economic indicators: GDP per capita, personal income and employment rate for most rankings. However, as time goes on and the impact of technology and Data Science-related jobs in the industry is more prevalent, the level at which this aspect is present in a competitive city is unknown. In this study, we aim to establish classification models that can accurately define a competitive city using Data Science-related job offers found for said city in indeed.com, a job application website. Our results signal the KNN-based model as the best classification method, with a reported accuracy of 0.65 and an AUC of 0.58.
{"title":"Competitive Cities: Establishing a Classification Model using Data Science-related Jobs","authors":"C. Fantoni, A. Mero, Denisse Orozco","doi":"10.1145/3378393.3402291","DOIUrl":"https://doi.org/10.1145/3378393.3402291","url":null,"abstract":"The concept of competitive cities has been spreading greatly over the years; a way to measure the advancement of cities economically speaking using several socio-economic indicators: GDP per capita, personal income and employment rate for most rankings. However, as time goes on and the impact of technology and Data Science-related jobs in the industry is more prevalent, the level at which this aspect is present in a competitive city is unknown. In this study, we aim to establish classification models that can accurately define a competitive city using Data Science-related job offers found for said city in indeed.com, a job application website. Our results signal the KNN-based model as the best classification method, with a reported accuracy of 0.65 and an AUC of 0.58.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121088984","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 use of information technology (IT) in public administration is seen as a significant tool for improving efficiency, transparency and accountability and in popular rhetoric, and is often heralded as a necessary and sufficient condition for this. We study the use of various forms of IT such as computerization, public management information systems (MIS), a digital ID and biometrics in two welfare programmes in India. Using publicly available administrative data, we look at some performance metrics of welfare programmes, try to understand whether and which IT intervention has been beneficial to programme implementation and comment on the extent to which IT has fulfilled its potential to enhance transparency. We find, as others have earlier, that there is no automatic link between the use of IT and enhanced transparency or accountability, and the use of IT may reinforce existing power imbalances. We argue for unbundling IT interventions in their evaluations.
{"title":"Information Technology (IT) and Welfare in India: Does IT work?","authors":"R. Khera, Vineeth Patibandla","doi":"10.1145/3378393.3402243","DOIUrl":"https://doi.org/10.1145/3378393.3402243","url":null,"abstract":"The use of information technology (IT) in public administration is seen as a significant tool for improving efficiency, transparency and accountability and in popular rhetoric, and is often heralded as a necessary and sufficient condition for this. We study the use of various forms of IT such as computerization, public management information systems (MIS), a digital ID and biometrics in two welfare programmes in India. Using publicly available administrative data, we look at some performance metrics of welfare programmes, try to understand whether and which IT intervention has been beneficial to programme implementation and comment on the extent to which IT has fulfilled its potential to enhance transparency. We find, as others have earlier, that there is no automatic link between the use of IT and enhanced transparency or accountability, and the use of IT may reinforce existing power imbalances. We argue for unbundling IT interventions in their evaluations.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130995922","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}
Digital work platforms can serve as trust-mediating agents between workers and employers who are previously unknown to each other. The design decisions made by digital work platform developers have an impact on the power dynamics between workers and employers. We report on our experience with piloting a social digital platform, VASTBlu, designed to enable workers from township communities in South Africa to access work opportunities in the mainstream economy. We also discuss ways in which factors like symmetry of review or the frequency of review between parties could be consciously chosen to change the power dynamics between parties in a digital work platform, reducing unfair practices and bringing increased power and dignity to workers.
{"title":"The Role of Digital Work Platforms in Negotiating New Power Dynamics: Experiences from a Social Digital Skills Platform in South Africa","authors":"Raphael Kamanga, Jeanna Neefe Matthews","doi":"10.1145/3378393.3402251","DOIUrl":"https://doi.org/10.1145/3378393.3402251","url":null,"abstract":"Digital work platforms can serve as trust-mediating agents between workers and employers who are previously unknown to each other. The design decisions made by digital work platform developers have an impact on the power dynamics between workers and employers. We report on our experience with piloting a social digital platform, VASTBlu, designed to enable workers from township communities in South Africa to access work opportunities in the mainstream economy. We also discuss ways in which factors like symmetry of review or the frequency of review between parties could be consciously chosen to change the power dynamics between parties in a digital work platform, reducing unfair practices and bringing increased power and dignity to workers.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128341109","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}
Despite the importance of elections in India, the world's largest democracy, data on Indian electoral outcomes has not been easily available for political analysis in the past. This has been due to the problems inherent in assembling any data archive of social and political data spanning many decades. In this paper, we shed some light on these problems and present some solutions in the context of a system we built called LokDhaba. LokDhaba includes the first freely-available, structured and cleaned data archive on Indian electoral outcomes at the national or state level from 1962 onwards. To build this archive, we overcame the challenges of data scraping, parsing, cleaning, consistency checking and integration between multiple sources, with the help of some novel tools. LokDhaba is being used extensively by political scientists, researchers, journalists and others to better understand long-term electoral trends in India.
{"title":"LokDhaba","authors":"Mohit Kumar, Chinmay Narayan, Sudheendra Hangal, Priyamvada Trivedi","doi":"10.1145/3378393.3402285","DOIUrl":"https://doi.org/10.1145/3378393.3402285","url":null,"abstract":"Despite the importance of elections in India, the world's largest democracy, data on Indian electoral outcomes has not been easily available for political analysis in the past. This has been due to the problems inherent in assembling any data archive of social and political data spanning many decades. In this paper, we shed some light on these problems and present some solutions in the context of a system we built called LokDhaba. LokDhaba includes the first freely-available, structured and cleaned data archive on Indian electoral outcomes at the national or state level from 1962 onwards. To build this archive, we overcame the challenges of data scraping, parsing, cleaning, consistency checking and integration between multiple sources, with the help of some novel tools. LokDhaba is being used extensively by political scientists, researchers, journalists and others to better understand long-term electoral trends in India.","PeriodicalId":176951,"journal":{"name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127069367","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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