The purpose of this document is to provide the SAH Workgroup with a summary of SAH strategy development and identify issues that have arisen so that all work group members have a common understanding of the context for their work. The second section discusses the background of state forests. Salmonid...
This document compiles written responses by experts in their respective fields to questions from the Salmon Anchor Habitat Work Group about the Salmon Anchor Habitat Strategy component of Oregon Department of Forestry Northwestern Oregon State Forest Management Plan.
Section I contains an introduction to the subject of Scientific Evidence Review. Section II reviews Oregon state mandates to use “best available science” in policymaking and summarizes ODF efforts to address these mandates. Section III provides an overview of Systematic Evidence Reviews and how they are conducted in the fields...
I studied small-mammal communities and their response to grazing in mixed-conifer forests and oak woodlands in the Cascade-Siskiyou National Monument in southern Oregon. My objectives were to (1) compare small-mammal communities among forest types and grazing intensities, (2) identify riparian affiliated species, and (3) describe microhabitat associations. Over two years,...
Celiac disease, an autoimmune response triggered by the consumption of seed storage proteins of cereals, affects an estimated 1% of the human population. In the case of wheat (Triticum aestivum L.), one of the world’s most consumed cereals, alcohol-soluble proteins, the gliadins, have been identified as the allergy-eliciting agents. Previous...
This dissertation addresses issues of oligopoly markets where advertising plays a prominent role. The first study empirically investigates the effect of advertising regulations on equilibrium consumption of an addictive commodity using U.S. cigarette industry data. The results of the first study show that the advertising regulations reduced cigarette consumption by...
The thesis focuses on model-based approximation methods for reinforcement
learning with large scale applications such as combinatorial optimization problems.
First, the thesis proposes two new model-based methods to stablize the
value–function approximation for reinforcement learning. The first one is the
BFBP algorithm, a batch-like reinforcement learning process which iterates between...