This study was an ethnographic case study of a
Vietnamese unaccompanied minor in a post secondary setting.
There were two guiding questions for the study: (1) How
does the subject perceive language as it relates to
educational experience? (2) What kinds of observable
personality, cognitive, or affective factors have
contributed...
This dissertation addresses three topics on applied microeconomics. First, we investigate issues of market power and tax incidence in the U.S. brewing industry. Since alcohol consumption can be addictive, we derive a structural econometric model of addiction from a dynamic oligopoly game. This model identifies the degree of market power...
Functional polymers and proteins at interfaces and surfaces are of fundamental importance for biomaterials, biocatalysis and microreactor applications. Candida antarctica lipase B immobilized on poly-DL-tryptophan tethers showed 30x higher
specific activity in aqueous and non-aqueous media than the same enzyme adsorbed or covalently bound directly to the surface. An excess...
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DEDICATION
This work is dedicated to my father, Dr. John F. Schilke, for his
It is desirable for complex engineered systems to perform missions efficiently and economically, even when these missions' complex, variable, long-term operational profiles make it likely for hazards to arise. It is thus important to design these systems to be resilient so that they will actively prevent and recover from hazards...
Appendices include the report "Crisis in Oregon's Estuaries" from the Oregon Chapter of the American Fisheries Society, ordinances of the Port of Toledo, and the petition for what would become the Oregon Beach Bill.
Methane is a product of biogeochemical processes which respond to changes in climate. The history of atmospheric methane is recorded by ice cores providing insight into past changes in these biogeochemical processes. This dissertation is comprised of three studies which focus on centennial- and millenial-scale variability of methane from ice...
We developed and investigated machine learning methods that require
minimal preprocessing of the input data, use few training examples, run fast, and
still obtain high levels of accuracy.
Most approaches to designing machine learning programs are based on the
supervised learning paradigm – training examples are chosen randomly and given...