Albacore tuna (Thunnus alalunga) rolls were developed using two albacore meat levels and three different treatment combinations. Albacore meat levels of 82 and 88% (Alb82 and Alb88) of the total weight formulation were examined. The different treatments consisted of 0.3% sodium tripolyphosphate (STPP), 0.3% STPP plus nitrites (150 ppm), and...
As the zebrafish (Danio rerio) becomes increasingly popular as a biomedical model for various laboratory studies, the need for efficient and accurate diagnostic assays for the pathogens that infect it has grown. The most common pathogen infecting laboratory zebrafish is Pseudoloma neurophilia, a microsporidium that has been known to cause...
Statistical Process Control techniques have been successfully
implemented in the mechanical fabrication and chemical manufacturing
industries. The techniques consist of the application of statistical
theory in conjunction with quality control procedures. To date the
Forest Products industry has yet to apply these techniques toward lumber
drying. This thesis focuses on...
Few studies have evaluated non-migratory Roosevelt elk (Cervus elaphus roosevelti)
interactions and habitat use on lands undergoing extensive timber removal. We captured and
radio-tracked for 14 months representatives from 29 different bands of elk across a 37,000 ha area
of Oregon's Coast Range. We identified 6 habitat variables within individual...
This Thesis explores the possibility of increased export and
export earnings stability for Costa Rica after the implementation of
the Caribbean Basin Economic Recovery Act (CBERA) or Caribbean Basin
Initiative (CBI). It was expected that this policy would not only
increase trade and exports for some developing nations in the...
The work described herein details the synthesis and application of
biphenyls that probe the effects of hydrogen, Cl / Br, and methyl substituents
on the aryl ring of the terminal acetylenic carbon. From this work, we
successfully developed the rapid synthesis of phenyl acetylenes in 3-4 steps
from inexpensive commercially...
This thesis addresses the problem of learning dynamic Bayesian network (DBN) models to support reinforcement learning. It focuses on learning regression tree models of the conditional probability distributions of the DBNs. Existing algorithms presume that the stochasticity in the domain can be modeled as a deterministic function with additive noise....