scholarly journals Creating Web Based Applications For Instrument Data Transfer Using Visual Studio.Net

2020 ◽  
Author(s):  
David Hergert
2020 ◽  
Vol 4 (2) ◽  
pp. 108-114
Author(s):  
Sabina B. Gesell ◽  
Jacqueline R. Halladay ◽  
Laurie H. Mettam ◽  
Mysha E. Sissine ◽  
B. Lynette Staplefoote-Boynton ◽  
...  

AbstractBackground:Research Electronic Data Capture (REDCap) is a secure, web-based electronic data capture application for building and managing surveys and databases. It can also be used for study management, data transfer, and data export into a variety of statistical programs. REDcap was developed and supported by the National Center for Advancing Translational Sciences Program and is used in over 3700 institutions worldwide. It can also be used to track and measure stakeholder engagement, an integral element of research funded by the Patient-Centered Outcomes Research Institute (PCORI). Continuously and accurately tracking and reporting on stakeholder engagement activities throughout the life of a PCORI-funded trial can be challenging, particularly in complex trials with multiple types of engagement.Methods:In this paper, we show our approach for collecting and capturing stakeholder engagement activities using a shareable REDCap tool in one of the PCORI’s first large pragmatic clinical trials (the Comprehensive Post-Acute Stroke Services) to inform other investigators planning cluster-randomized pragmatic trials. Benefits and challenges are highlighted for researchers seeking to consistently monitor and measure stakeholder engagement.Conclusions:We describe how REDCap can provide a time-saving approach to capturing how stakeholders engage in a PCORI-funded study and reporting how stakeholders influenced the study in progress reports back to PCORI.


2021 ◽  
pp. 104063872199669
Author(s):  
Katie Woodard ◽  
Jordan Kraft ◽  
Shiva Adhikari ◽  
Daniel Patanroi ◽  
Bret Crim ◽  
...  

As client interactions with veterinary diagnostic laboratories have evolved, so have client expectations: faster results, enhanced accessibility to cases, and more seamless data transfer from the laboratory database; all of these factors have encouraged the evolution of diagnostic laboratory systems. This evolution started with 24-h access to laboratory results via the web, yet data quality remained at the mercy of the person filling out the form. If bad (incomplete) information was flowing in, then the data coming out was equally bad (incomplete or inconsistent). By designing a web-based system integrated into our existing reporting platform, the Iowa State University Veterinary Diagnostic Laboratory (ISU-VDL) set out to improve the quality of submission data by including the premises identification number (PIN) and obtaining consistent location data, all while presenting to the client an easy-to-use interface. Efforts continued by incentivizing the use of this tool and client submission practices. As clients transitioned, data have become more complete, resulting in easier queries and an improved ability to leverage the diagnostic data. To further enhance the client experience, a streamlined daily reporting summary was designed to communicate laboratory results succinctly. The use of these web-based tools had a positive impact on the quality and consistency of the diagnostic data. As new ideas develop, the ISU-VDL strives to foster continuous improvement and positively impact the clients’ experience.


2021 ◽  
pp. 165-174
Author(s):  
Masaki Kohana ◽  
Shinji Sakamoto ◽  
Shusuke Okamoto

2019 ◽  
Vol 12 (3) ◽  
pp. 1119-1137 ◽  
Author(s):  
Yuanyuan Huang ◽  
Mark Stacy ◽  
Jiang Jiang ◽  
Nilutpal Sundi ◽  
Shuang Ma ◽  
...  

Abstract. Predicting future changes in ecosystem services is not only highly desirable but is also becoming feasible as several forces (e.g., available big data, developed data assimilation (DA) techniques, and advanced cyber-infrastructure) are converging to transform ecological research into quantitative forecasting. To realize ecological forecasting, we have developed an Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models. EcoPAD (v1.0) is a web-based software system that automates data transfer and processing from sensor networks to ecological forecasting through data management, model simulation, data assimilation, forecasting, and visualization. It facilitates interactive data–model integration from which the model is recursively improved through updated data while data are systematically refined under the guidance of model. EcoPAD (v1.0) relies on data from observations, process-oriented models, DA techniques, and the web-based workflow. We applied EcoPAD (v1.0) to the Spruce and Peatland Responses Under Climatic and Environmental change (SPRUCE) experiment in northern Minnesota. The EcoPAD-SPRUCE realizes fully automated data transfer, feeds meteorological data to drive model simulations, assimilates both manually measured and automated sensor data into the Terrestrial ECOsystem (TECO) model, and recursively forecasts the responses of various biophysical and biogeochemical processes to five temperature and two CO2 treatments in near-real time (weekly). Forecasting with EcoPAD-SPRUCE has revealed that mismatches in forecasting carbon pool dynamics are more related to model (e.g., model structure, parameter, and initial value) than forcing variables, opposite to forecasting flux variables. EcoPAD-SPRUCE quantified acclimations of methane production in response to warming treatments through shifted posterior distributions of the CH4:CO2 ratio and the temperature sensitivity (Q10) of methane production towards lower values. Different case studies indicated that realistic forecasting of carbon dynamics relies on appropriate model structure, correct parameterization, and accurate external forcing. Moreover, EcoPAD-SPRUCE stimulated active feedbacks between experimenters and modelers to identify model components to be improved and additional measurements to be taken. It has become an interactive model–experiment (ModEx) system and opens a novel avenue for interactive dialogue between modelers and experimenters. Altogether, EcoPAD (v1.0) acts to integrate multiple sources of information and knowledge to best inform ecological forecasting.


2018 ◽  
Author(s):  
Yuanyuan Huang ◽  
Mark Stacy ◽  
Jiang Jiang ◽  
Nilutpal Sundi ◽  
Shuang Ma ◽  
...  

Abstract. Predicting future changes in ecosystem services is not only highly desirable but also becomes feasible as several forces (e.g., available big data, developed data assimilation (DA) techniques, and advanced cyberinfrastructure) are converging to transform ecological research to quantitative forecasting. To realize ecological forecasting, we have developed an Ecological Platform for Assimilating Data (EcoPAD) into models. EcoPAD is a web-based software system that automates data transfer and processes from sensor networks to ecological forecasting through data management, model simulation, data assimilation, and visualization. It facilitates interactive data-model integration from which model is recursively improved through updated data while data is systematically refined under the guidance of model. EcoPAD relies on data from observations, process-oriented models, DA techniques, and web-based workflow. We applied EcoPAD to the Spruce and Peatland Responses Under Climatic and Environmental change (SPRUCE) experiment at North Minnesota. The EcoPAD-SPRUCE realizes fully automated data transfer, feeds meteorological data to drive model simulations, assimilates both manually measured and automated sensor data into Terrestrial ECOsystem (TECO) model, and recursively forecast responses of various biophysical and biogeochemical processes to five temperature and two CO2 treatments in near real-time (weekly). The near real-time forecasting with EcoPAD-SPRUCE has revealed that uncertainties or mismatches in forecasting carbon pool dynamics are more related to model (e.g., model structure, parameter, and initial value) than forcing variables, opposite to forecasting flux variables. EcoPAD-SPRUCE quantified acclimations of methane production in response to warming treatments through shifted posterior distributions of the CH4:CO2 ratio and temperature sensitivity (Q10) of methane production towards lower values. Different case studies indicated that realistic forecasting of carbon dynamics relies on appropriate model structure, correct parameterization and accurate external forcing. Moreover, EcoPAD-SPRUCE stimulated active feedbacks between experimenters and modelers so as to identify model components to be improved and additional measurements to be made. It becomes the first interactive model-experiment (ModEx) system and opens a novel avenue for interactive dialogue between modelers and experimenters. EcoPAD also has the potential to become an interactive tool for resource management, to stimulate citizen science in ecology, and transform environmental education with its easily accessible web interface.


2009 ◽  
Vol 29 (S 01) ◽  
pp. S13-S15 ◽  
Author(s):  
S. Reitter ◽  
R. Sturn ◽  
W. Streif ◽  
T. Schabetsberger ◽  
F. Wozak ◽  
...  

SummaryThe treatment of haemophilia requires continuous development of knowledge related to various aspects of diagnosis and therapy. It is, therefore, essential to collect valid and representative data, which are comparable on an international level. The Austrian Haemophilia Registry was set up by the Scientific Advisory Panel of the Austrian Haemophilia Society and by the patient organisation. For the design, it was decided to divide the registry into three sections, two concerning quality control and a third concerning scientific questions, the latter requiring written informed consent. A web-based software is used to collect data. Transfer and storage of data are secured and the server is situated in a computer center with video and access control. Data entry was initiated early 2008. Currently, only preliminary data are available. Our further focus is on continued data entry, which will further enable us to provide information concerning the characteristics of the haemophilia patient population in Austria and the actual treatment modalities used.


Materials ◽  
2003 ◽  
Author(s):  
Amit Bhandwale ◽  
Thenkurussi Kesavadas ◽  
Ken English ◽  
Christina Bloebaum ◽  
Kemper Lewis ◽  
...  

This paper describes a Virtual Reality (VR) based environment for conceptual design that allows the generation of an entire plant design along with an accurate cost estimate. The use of visualization coupled with advanced design and optimization methodologies help to rapidly investigate competing plant designs. The software is composed of two modules; the Optimization Engine or Optimizer and the Graphical User Interface (GUI) or Visualizer. The Optimizer comes up with various layouts (designs) along with a cost estimate, which the Visualizer uses to give a 3-D model of the plant. The Visualizer operate in three different modes; (1) Virtual Reality mode with advanced interface to visualize on a CAVE type large display systems, (2) Web viewer designed to be used in conjunction with a distributed design environment and (3) a PC desktop mode for quick design review with additional functionalities over a Web based system. To allow a seamless integration between the Optimizer and the Visualizer an efficient XML based data transfer has been developed. XML provides a robust, non-proprietary, persistent and verifiable file format for the storage and transmission of text and data. As XML data is to be manipulated from within a programming language, the Xerces XML parser, written in a portable subset of C++, has been used.


2017 ◽  
Vol 7 (1) ◽  
pp. 17-31 ◽  
Author(s):  
Subhash Medhi ◽  
Abhijit Bora ◽  
Tulshi Bezboruah

The web services have emerged as a web based matured and popular technology paradigm. Due to increasing popularity, the reliability assurance and prediction have acquired more attentions to the developers, researchers and service providers. In this paper, the authors propose to design, develop and implement a service oriented prototype research electronic automated teller machine service using Windows Communication Foundation technology to study and predict some reliability aspects of web services. One master service is designed to authenticate a particular user to access services that is acting as a service broker and redirects the query to content service executing agents, acting as a service provider. The system has been implemented using C# programming language, Visual Studio.NET framework, Internet Information Service web server and Microsoft Structured Query Language database server. The authors present here the novel prototype architecture, testing procedures, HTTP transactional status and reliability analysis of the system under massive stress of consumers.


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