Index Catalog // ScholarsArchive@OSU

Creator:: Davis, Sean M.
Abstract:: Between Oregon State University and DHBW Ravensberg, Global Formula Racing produces two Formula style vehicles every year for competition. This thesis has served as a pre-development project in the ergonomics and driver interface of the team's vehicles. This project will determine the position of the seat back, steering wheel, and...
Resource Type:: Honors College Thesis
Full Text:: Analysis of the Global Formula Racing Driver Interface by Sean M. Davis A THESIS submitted to Oregon

Creator:: Dasari, Surendra, Newsom, Sean A., Ehrlicher, Sarah E., Stierwalt, Harrison D., and Robinson, Matthew M.
Abstract:: Excess fat intake can increase lipid oxidation and expression of mitochondrial proteins, indicating remodeling of the mitochondrial proteome. Yet intermediates of lipid oxidation also accumulate, indicating a relative insufficiency to completely oxidize lipids. We investigated remodeling of the mitochondrial proteome to determine mechanisms of changes in lipid oxidation following high-fat...
Resource Type:: Article
Full Text:: proteins in mice Surendra Dasari,1 Sean A. Newsom,2 Sarah E. Ehrlicher,2 Harrison D. Stierwalt,2 and

Creator:: McGregor, Eric L., Green, Rebecca E., Purcell, Kathryn L., Tucker, Jody M., Matthews, Sean M., and Green, David S.
Abstract:: This dataset is designed to capture landscape changes brought on by a severe tree mortality episode in California's southern Sierra Nevada range, by mapping multiple land cover types in a continuous way at annual time-steps throughout the mortality event. By mapping multiple land cover types we can see not only...
Resource Type:: Map or Cartographic Material

Creator:: McGregor, Eric L., Purcell, Kathryn L., Green, Rebecca E., Matthews, Sean M., Green, David S., and Tucker, Jody M.
Abstract:: These high resolution (5x5-meter pixel) categorical models of land cover were created by training random forest classification models on RapidEye (Planet Labs Inc.) satellite spectral data for each year and then predicting those models across the landscape. Training data were created by visually interpreting random plots over high resolution NAIP...
Resource Type:: Map or Cartographic Material

ScholarsArchive@OSU