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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
A Qualitative Look Into Repair Practices, Jumana Labib
A Qualitative Look Into Repair Practices, Jumana Labib
Undergraduate Student Research Internships Conference
This research poster is based on a working research paper which moves beyond the traditional scope of repair and examines the Right to Repair movement from a smaller, more personal lens by detailing the 6 categorical impediments as dubbed by Dr. Alissa Centivany (design, law, economic/business strategy, material asymmetry, informational asymmetry, and social impediments) have continuously inhibited repair and affected repair practices, which has consequently had larger implications (environmental, economic, social, etc.) on ourselves, our objects, and our world. The poster builds upon my research from last year (see "The Right to Repair: (Re)building a better future"), this time pulling …
Reconstitution Efficiency On Elution Process, Brandon Winter, Landon Beachy, Samantha Stejskal, Zachary Rice
Reconstitution Efficiency On Elution Process, Brandon Winter, Landon Beachy, Samantha Stejskal, Zachary Rice
Scholar Week 2016 - present
Our group is presenting on the Reconstitution Efficiency on Elution Process for MilliporeSigma. The process that we are working with is the mixing of BAAP (Bovine Albumin Acetone Powder) into reverse osmosis water. This process is the first step of many in the making of medical test kits, of which include HIV/AID, strep throat, and pregnancy tests. Our initial task was to reduce the mixing time by 50%, however after further exploration of the problem, a more stable and consistent process turned into our primary goal and a significant reduction in time became a secondary goal. Initially, we were using …
Predictive Power And Validity Of Connectome Predictive Modeling: A Replication And Extension, Michael Wang, Joaquin Goni, Enrico Amico
Predictive Power And Validity Of Connectome Predictive Modeling: A Replication And Extension, Michael Wang, Joaquin Goni, Enrico Amico
The Summer Undergraduate Research Fellowship (SURF) Symposium
Neuroimaging, particularly functional magnetic resonance imaging (fMRI), is a rapidly growing research area and has applications ranging from disease classification to understanding neural development. With new advancements in imaging technology, researchers must employ new techniques to accommodate the influx of high resolution data sets. Here, we replicate a new technique: connectome-based predictive modeling (CPM), which constructs a linear predictive model of brain connectivity and behavior. CPM’s advantages over classic machine learning techniques include its relative ease of implementation and transparency compared to “black box” opaqueness and complexity. Is this method efficient, powerful, and reliable in the prediction of behavioral measures …
Designing A Mobile Space Habitat Analog, Victor Kitmanyen, Matthew Burkhard, Timothy Disher
Designing A Mobile Space Habitat Analog, Victor Kitmanyen, Matthew Burkhard, Timothy Disher
Human Factors and Applied Psychology Student Conference
No abstract provided.
Automatic Food Expiration Notification System, Nikolas-Viktor P. Doukas, Ozan Celebi, Lindsey E. Colgrove, Michael D. Werner, Tre Commings, Christopher M. Zatek, Daniel E. Odihi
Automatic Food Expiration Notification System, Nikolas-Viktor P. Doukas, Ozan Celebi, Lindsey E. Colgrove, Michael D. Werner, Tre Commings, Christopher M. Zatek, Daniel E. Odihi
Engagement & Service-Learning Summit
No abstract provided.
A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross
A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross
Yale Day of Data
Post-market surveillance is a collection of processes and activities used by product manufacturers and regulators, such as the U.S. Food and Drug Administration (FDA) to monitor the safety and effectiveness of medical devices once they are available for use “on the market”. These activities are designed to generate information to identify poorly performing devices and other safety problems, accurately characterize real-world device performance and clinical outcomes, and facilitate the development of new devices, or new uses for existing devices. Typically, a device is monitored by comparing adverse events in the exposed population to a matched unexposed population. This research considers …