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Neck Injury Criteria Development For Use In System Level Ejection Testing; Characterization Of Atd To Human Response Correlation Under -Gx Accelerative Input, Craig M. Zinck
Theses and Dissertations
The use of Helmet Mounted Displays is ubiquitous in the field of aviation, adding operational capability, increasing head-supported weight and potential neck injury risk. Developing neck injury criteria to evaluate and quantify neck injury is important to ensure ejection systems are produced within acceptable standards. An ATD to human transfer function is developed that quantifies the difference between ATD and human neck response from -Gx accelerative tests, and demonstrates how this function can be applied to ATD test data to make previously developed human risk functions directly applicable to interpreting ATD data with a human based neck injury criterion. A …
Using Artificial Neural Networks To Predict Disease Associations For Chemicals Present In Burn Pit Emissions, Amanda R. Taylor
Using Artificial Neural Networks To Predict Disease Associations For Chemicals Present In Burn Pit Emissions, Amanda R. Taylor
Theses and Dissertations
In June of 2015, 27,378 of the 28,000 returning Operation Iraqi Freedom/Operation Enduring Freedom (OIF/OEF) veterans report being exposed to burn pits. According to Barth et al. (2014), 9,660 returning OIF/OEF veterans were diagnosed with respiratory diseases, to include asthma, bronchitis, and sinusitis, thus strengthening the need to develop decision support tools that can be used to understand the relationships between chemical exposure and disease. In this study an Artificial Neural Network (ANN) was used to predict the chemical-disease associations for burn pit constituents. Ten burn pit constituents were tested using varying hidden layers, similar chemical structure relationships, and three …