The emerging field of regenerative medicine is mainly approached by two different aspects. First is the use of stem cell based models to generate a suite of differentiated cells for therapeutic applications and the alternative approach is to utilize the non-mammalian models that have the inherent capacity to regenerate their...
Most studies suggest that LGBTQ+ young adults make up between 20 and 40 percent of the houseless young adult population (Edidin, Ganim, Hunter, and Karnik 2011; Nolan 2006). However, LGBTQ+ young adults compose only 1.3–3.8% of the general young adult population (Rosario, Schrimshaw, and Hunter 2012). Thus LGBTQ+ young adults...
PURPOSE OF THE STUDY The purpose of the study was to determine the effectiveness of televised instruction to aid in changing attitude toward problem solving. The study determined whether fifth and sixth grade students would demonstrate significant differences in: 1) attitude toward the nature of problem solving, 2) self-confidence in...
Purpose of the Study: The purpose of this study was to determine the perceptions of university cooperative education coordinators regarding the importance of tasks identified by cooperative education experts as being critical to the operation of university programs. The study was also concerned with coordinators' preferences regarding the organizational formats...
Published February 1946. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalog
Published March 1990. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalog
This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...