2020 Systems and Information Engineering Design Symposium (SIEDS)最新文献

{"title":"Measuring Airport Similarity to Create a Towering Decision Aid","authors":"A. Anderson, Toby Hansford, M. Jordan, Sragdhara Khakurel, C. Marshall, M. Quinn, Katherine Taylor, Amy Xie, C. Fleming","doi":"10.1109/SIEDS49339.2020.9106689","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106689","url":null,"abstract":"The focus of this project was on formulating a model and decision support tool to aid in the decision to build and maintain an Air Traffic Control Tower (ATCT). An important aspect of air travel are ATCTs, towers that help facilitate communication between the airport system and airplanes ascending and descending. ATCTs bring economic, safety, and efficiency benefits to airports and nearby communities. Currently, the Federal Aviation Administration (FAA) uses a document outlining a benefit-cost ratio for building a new tower, with tower funding provided if the ratio is greater than 1. However, the current policy lacks a comprehensive and systematic assessment of factors that influence both costs and benefits to operators and the region.To address these issues, we started by speaking with air traffic stakeholders and then began to collect data from a variety of aviation datasets. Based on the collected data, we identified economy, safety, and efficiency as our three areas of focus. With this data, we were able to compute the similarity, using hierarchical clustering, of a given airport to currently towered airports based on data from the economy, safety, and efficiency sources. We then built an interactive interface to display these similarities and provide information for airports to contact the similar airports.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132202496","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}

{"title":"Digitization of Perioperative Surgical Flowsheets","authors":"Victoria Rho, Angela Yi, Bhavana Channavajjala, Luke McPhillips, Sarah Winston Nathan, Rex Focht, Nathan Ohene, W. Adorno, Marcel Durieux, Donald Brown","doi":"10.1109/SIEDS49339.2020.9106679","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106679","url":null,"abstract":"Perioperative mortality rate (POMR) is a metric widely used to describe the quality of treatment in hospitals. Perioperative data, or data collected during surgery, can be used to calculate POMR and determine factors that lead to adverse surgical outcomes. Access to such data is essential for decreasing POMR and improving medical treatment. In low- and middle-income countries (LMICs), perioperative data is often manually recorded on paper flowsheets. While these flowsheets capture essential information, their non-digital format leads to difficulty in analysis of perioperative data, as aggregating data and observing trends is a time-consuming and tedious task. The goal of this project is to design a system to digitize the information contained in surgical flowsheets that have been in use for six years at the University Teaching Hospital of Kigali in Rwanda. To accomplish this goal, the research team has done the following: 1) Designed a wooden scanning structure, SARA (Scanning Apparatus for Remote Access), to capture flowsheet images in a standard format, 2) Developed a web application to upload images and securely transfer them to UVA for processing, 3) Developed image processing programs to digitize medication, blood pressure, heart rate and logistical data, and 4) Created a PostgreSQL database system to store the digitized flowsheet data. Additional testing and validation of this system is needed to evaluate the accuracy of each processing technique in the fully integrated system.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126331010","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}

{"title":"Enterprise Resilience of Maritime Container Ports to Pandemic and Other Emergent Conditions","authors":"R. Donnan, Courtnay R. Edwards, Arjun R. Iyer, Tan Karamete, Peter F. Myers, Simone E. Olson, Robert S. Prater, D. J. Andrews, Thomas L. Polmateer, Mark C. Manasco, Daniel C. Hendrickson, J. Lambert","doi":"10.1109/SIEDS49339.2020.9106638","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106638","url":null,"abstract":"Emergent and future conditions that influence the global container port industry include pandemics, regulations, markets, technologies, environments, organizations, energy resources, workforces, supply-chain partners, and others. It is critical to simultaneously formulate and adapt multiple strategic plans of individual ports to the above stressors. The Port of Virginia (POV) generates 400,000 jobs, or roughly 11% of jobs across Virginia, and has an overall annual economic impact of $92 billion. POV is currently investing $800 million to expand its annual container throughput capacity by 40 percent by the end of 2020. This investment supports initiatives outlined in the port’s 2065 master plan through the investigation of different scenarios that impact emergent and future port conditions. This paper describes the most and least disruptive scenarios of emergent and future conditions, including hybrid scenarios involving the COVID-19 pandemic. The degree of disruption is measured by the changes in priorities of a port’s strategic plan, in particular for the rank order of investments by their individual contributions to the strategic goals of the port. The analysis described herein includes sixteen strategic goals, 31 strategic plan investments, and several dozen emergent and future conditions. The analysis assembles the emergent conditions into scenarios. The most disruptive scenarios are selected for contingency planning, enterprise risk management, and research & development. Seven scenarios are available for future exploration in detail: (1) Funding Decrease (2) Natural Disaster (3) Green Technologies (4) Pandemic (5) Increased Automation (6) Alternative Financing (7) Population Changes. Green Technologies, Pandemic and Alternative Financing are explored in detail in this paper. The results of this paper are thus both a methodology for any port to address its emergent and future conditions via its strategic plans, and also a case study of enterprise resilience of a major container port of the United States. The results will be of interest to port owners and operators, risk managers, transportation agencies, regulators, freight shippers, human resource managers, the military, and others.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115299535","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}

{"title":"Analyzing crop health in vineyards through a multispectral imaging and drone system","authors":"Isaac J. Miller, B. Schieber, Zachary De Bey, Ernest Benner, Jacob D. Ortiz, Justyn Girdner, Parth N. Patel, Dominic G. Coradazzi, J. Henriques, Jason Forsyth","doi":"10.1109/SIEDS49339.2020.9106671","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106671","url":null,"abstract":"This paper describes a system for collecting and analyzing multispectral imagery to evaluate crop health and streamline vineyard management in small to medium-sized vineyards. The system consists of three main components: a sensor assembly with a multispectral camera, quadcopter with flight automation, and a web-based decision support information system for analyzing multispectral imagery. Multispectral imagery can provide a holistic view of crop health through the use of different indices. A widely used index is the Normalized Difference Vegetative Index, which uses red and near-infrared reflectance as a proxy measurement for plant health. The authors tested the system at a small vineyard located in Albemarle County, Virginia, to better inform vineyard management of existing problems and trends in primary crop and undergrowth. Preliminary findings indicate the value of using this indicator-based approach for analyzing crop health in vineyards.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122470088","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}

{"title":"Automated Rotor Assembly CNC Machine","authors":"V. Lawson, Meagan Phister, Clara Rogers","doi":"10.1109/SIEDS49339.2020.9106641","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106641","url":null,"abstract":"The process of manually removing material to restore rotational balance to a rotor assembly can be time-consuming and labor-intensive. This results in the inability of tool shops and machinists to get through their queue during any current workday. In this paper, the design and creation of an automated system capable of removing material from rotor assemblies. The system will recognize inputs including part number, component dimensions, amount of material to be removed, and which surface the material will be removed from. The purpose of this system is to remove material from different planar surfaces with respect to inputs provided by the machinist. This will provide a more efficient and effective way to ensure the balance of a rotor assembly for use in the operation of an Auxiliary Power Unit (APU). Due to the complex architecture of the APU rotor assembly, a 3-axis milling technique was needed. A CNC machine was found to have the ability to move in the x, y, and z planes which would allow for the proper range of motion that is desired. In addition, the use of CNC technology was chosen due to the need for high accuracy and no conditions for complex angles. Due to the time constraints provided by the client for process completion, install, and removal a CNC design where speed can be controlled was chosen to meet these constraints. The design must be adaptable for use on varying sized rotor assemblies, it must have a removal limit of 0.001 milli ounces(moz), and run based on a code that incorporates a graphical user interface. This interface must be capable of accepting and using manual inputs along with being able to convert from one coding language to another. Initial prototyping was used to explore the accuracy and range of movement in both the x and y directions through the use of stepper motors controlled via g-code; an open-source code useful in controlling multiple stepper motors in 3 degrees of motion. Stepper motors were used due to their high torque and low speed as well as their reliability and accuracy. It was found that when given the same command repetitively the prototype was able to perform the action in the exact same manner as before making it have a high precision. The speed of the prototype was variable and cost was a little over $300 making it highly affordable. In order to interface with the CNC machine, custom software was designed and developed. After the initial testing, z-axis control was added into the design and is currently being tested. The outcome of the current prototyping phase is a system capable of moving in all three planes of motion.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114409007","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}

{"title":"A Digital Green Thumb: Neural Networks to Monitor Hydroponic Plant Growth","authors":"M. Tenzer, N. Clifford","doi":"10.1109/SIEDS49339.2020.9106645","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106645","url":null,"abstract":"Hydroponics systems present an extraordinary opportunity to lessen the environmental impact of agriculture and increase access to fresh produce. Automated hydroponics systems contain many sensors to monitor plant growth and health, but recovering information about plant status is a non-trivial task; most methods require specialized camera hardware or extensive manually-annotated data. A common alternative is to simply take a photograph of plants using an ordinary digital camera and calculate the percentage of the image that is green, since previous research links this percentage very closely to plant biomass; however, this approach fails with anthocyanin-producing (purple) plants or night-vision (greyscale) imagery.We developed a data-driven approach with no requirement of manual annotation. For each of 20 distinct time series of green plant images, we calculated which pixels were green, a proxy for labeling which pixels were occupied by plant matter. We then converted all images to greyscale and trained convolutional neural networks, inspired by state-of-the-art object detection and image segmentation literature, to take a greyscale image and classify which pixels were originally green. We systematically compared several network architectures, including Unet, Linknet, FPN, and PSPNet, using a 34-layer ResNet architecture for the encoder and evaluated model performance by ten-fold cross-validation, training on 18 series and leaving out two per fold.We calculated cross-validated receiver operating characteristic (ROC) curves for each model and achieved a maximum validation-set area under the curve (AUC) over 0.92, after only ten epochs of training from randomly-initialized weights. Time series plots of the average per-pixel predicted probability (predicted percent greenness of an image) followed the true percentages quite closely but displayed much smoother and more interpretable trends, even when the true label was very noisy. The resulting plant growth index retains the power of the simpler percent-green metric, but by design generalizes to difficult images where green is completely absent. We have therefore developed a robust and deployable monitoring system for the growth of diverse plant species in automated hydroponics systems.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125719056","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}

{"title":"Smart Infrastructure: Solutions to Improve Privacy and Security","authors":"Peyton Kardos, Benjamin Suter, Dylan Mullican, Joseph J Nicol, Matthew Kline, Emily York, A. Salman","doi":"10.1109/SIEDS49339.2020.9106650","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106650","url":null,"abstract":"The development and implementation of smart infrastructure raises legitimate security and privacy concerns for both the specific users of these systems as well as the public at large. The consolidation of big data through smart applications within smart infrastructure systems allows large tech companies and government entities to gather and potentially exploit the personal information of consumers. These powerful organizations collect consumer data in order to perform analysis on it, trade or sell it, or simply store it for later use. The gathering of big data or metadata, data about data, provides an opportunity for the collector to observe or predict the behaviors of specific individuals or groups. Those holding this information could use it to promote their own agendas or to otherwise exploit those from whom it has been collected without their knowledge or consent. Additionally, the current lack of legislation and policies concerning the security of smart applications or IoT devices makes the possibility of security and privacy breaches more prevalent. A breach would allow access to sensitive information which would be a threat to security and privacy at an individual and/or national scale. Due to the dynamic nature of smart infrastructure, we employed a systems analysis of this problem as a methodological approach leading to three solutions. We recommend a three-part solution-based analysis, consisting of 1.) Financial Backing 2.) Creation of Policies and Regulations and 3.) Technical Integration. This solution addresses market mitigation, data privacy for consumers, and data authentication between smart technologies and critical infrastructure. Preliminary results of this research suggest that these components are necessary for a sustainable smart infrastructure.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128008902","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}

{"title":"Explorer51 – Indoor Mapping, Discovery, and Navigation for an Autonomous Mobile Robot","authors":"Gabriel Argush, William Holincheck, Jessica Krynitsky, Brian McGuire, D. Scott, Charlie Tolleson, Madhur Behl","doi":"10.1109/SIEDS49339.2020.9106581","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106581","url":null,"abstract":"The nexus of robotics, autonomous systems, and artificial intelligence (AI) has the potential to change the nature of human guided exploration of indoor and outdoor spaces. Such autonomous mobile robots can be incorporated into a variety of applications, ranging from logistics and maintenance, to intelligence gathering, surveillance, and reconnaissance (ISR). One such example is that of a tele-operator using the robot to generate a map of the inside of a building while discovering and tagging the objects of interest. During this process, the tele-operator can also assign an area for the robot to navigate autonomously or return to a previously marked area/object of interest. Search and rescue and ISR abilities could be immensely improved with such capabilities. The goal of this research is to prototype and demonstrate the above autonomous capabilities in a mobile ground robot called Explorer51. Objectives include: (i) enabling an operator to drive the robot non-line of sight to explore a space by incorporating a first-person view (FPV) system to stream data from the robot to the base station; (ii) implementing automatic collision avoidance to prevent the operator from running the robot into obstacles; (iii) creating and saving 2D and 3D maps of the space in real time by using a 2D laser scanner, tracking, and depth/RGB cameras; (iv) locating and tagging objects of interest as waypoints within the map; (v) autonomously navigate within the map to reach a chosen waypoint.To accomplish these goals, we are using the AION Robotics R1 Unmanned Ground Vehicle (UGV) rover as the platform for Explorer51 to demonstrate the autonomous features. The rover runs the Robot Operating System (ROS) onboard an NVIDIA Jetson TX2 board, connected to a Pixhawk controller. Sensors include a 2D scanning LiDAR, depth camera, tracking camera, and an IMU. Using existing ROS packages such as Cartographer and TEB planner, we plan to implement ROS nodes for accomplishing these tasks. We plan to extend the mapping ability of the rover using Visual Inertial Odometry (VIO) using the cameras. In addition, we will explore the implementation of additional features such as autonomous target identification, waypoint marking, collision avoidance, and iterative trajectory optimization. The project will culminate in a series of demonstrations to showcase the autonomous navigation, and tele-operation abilities of the robot. Success will be evaluated based on ease of use by the tele-operator, collision avoidance ability, autonomous waypoint navigation accuracy, and robust map creation at high driving speeds.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127302534","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}

{"title":"Interacting with Autonomous Platoons: Human Driver’s Adaptive Behaviors in Planned Lane Changes","authors":"Xiang Guo, Yichen Jiang, Inki Kim","doi":"10.1109/SIEDS49339.2020.9106667","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106667","url":null,"abstract":"With an increasing reliance on autonomous driving technologies, mixed traffic is expected to emerge as a dominant mode in the traffic ecosystem of the coming future, which will drastically change how the human drivers of manual vehicles perceive and interact with autonomous vehicles. From the standpoint of human-automation interaction, a question arises whether it is humans or vehicles algorithms that should adapt themselves to the myriads of traffic situations. To address this question, the current paper recruited eleven participants to a medium-fidelity driving simulation study, and collected driving performance and gaze behaviors during the planned lane changes when they were expected to cut their ways through vehicle platoons of different time headways. The results showed a varying degree of adaptive behaviors and risk attitudes from participants in response to the different headways during the lane change. Due to this large individual variation in mixed traffic interaction, highly adaptive algorithm for autonomous platoon is much desired. In this regard, some behavioral markers for planned lane change was recommended in this paper.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122875179","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}

{"title":"Secure Data Collection Using Autonomous Unmanned Aerial Vehicles","authors":"John Bowman, J. Brooks, Chandler Lopez, A. Marcos-Martinez, A. Salman","doi":"10.1109/SIEDS49339.2020.9106687","DOIUrl":"https://doi.org/10.1109/SIEDS49339.2020.9106687","url":null,"abstract":"In recent years, drones have become a practical solution for data collection in both academic and commercial fields. The use of drones allows users to collect data without disrupting the environment and keep safe from dangerous areas such as: military operations and surveillance in locations where maneuverability is difficult. The different data collected via unmanned aerial vehicles include field work GPS coordinates, environmental quality measurements, photographs/video and much more. The data collected by unmanned aerial vehicles may contain sensitive information, leading to an increased value on the security of that data. Without proper security services, information may be used in unforeseen, or even malicious ways, such as planting false information or leaking particularly sensitive data. In this paper we introduce a secure data collection method from wireless sensor nodes using autonomous unmanned aerial vehicles. We built a sensor node with multiple sensors designed to collect data for rainfall, temperature, humidity, ultra violet index, and soil moisture. Along with another sensor node with sensors used to collect data from water, we created a wireless sensor network where the sensor data was collected using an unmanned aerial vehicle. The sensor nodes collected environmental data through several sensors which are securely stored in the sensor node itself. The collected data was then transferred securely to a central node mounted on a DJI F450 Flamewheel quad-copter, which was loaded with a predetermined flight path via Mission Planner to perform the autonomous flight. Aside from previous environmental focus, technical improvements were made such as adding a solar battery to the sensor node and implementing energy efficiency in the nodes’ systems while the drone collected data autonomously during a predetermined flight path. This project served as a proof-of-concept that communication with a wireless sensor node has the capability to be deployed for data collection in remote areas efficiently and effectively while maintaining a low power and energy consumption.","PeriodicalId":331495,"journal":{"name":"2020 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128647191","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}