Incorporation of nanoparticles (NPs) into consumer products is on the rise and human exposure to NPs is unavoidable. Currently, there is insufficient data to assess the safety of nanoparticles. I conducted a series of five studies using the zebrafish model to determine which NP components (i.e., core material or surface...
To increase the knowledge needed to successfully implement the ecosystem-based approach to fishery management, this dissertation investigates important issues within the economics of choice and the economics of displacement. In particular, a discrete choice model of the fishing location decision in the Newport, Oregon bottom trawl groundfish fishery is estimated...
New ice cores retrieved from the Taylor Glacier (Antarctica) blue ice area contain ice and air spanning the Marine Isotope Stage (MIS) 5/4 transition, a period of global cooling and ice sheet expansion. Chronologies were determined for the ice and air bubbles in the new ice cores by visually matching...
Many development organizations now recognize the importance of culturally sensitive project design and implementation. Unfortunately most of these groups continue to disregard the significance of gender. This qualitative research examines a women's cooperative in rural El Salvador which formed in order to find a means of generating income and to...
I introduce a compositional approach to application software development. In this approach, an extended entity-relationship diagram (EERD), which represents the component types and the relationship types within an application domain, is used as a template of executable programs in that application domain. As we use structural active objects as the...
Emerging applications for robotic data collection include ocean monitoring, emergency response and urban search and rescue. At the core of these applications is a robot's ability to make informed decisions on incomplete data. This dissertation addresses this problem by developing novel techniques for modeling and estimating structured environments using deep...
Reinforcement Learning (RL) is the study of learning agents that improve
their performance from rewards and punishments. Most reinforcement learning
methods optimize the discounted total reward received by an agent, while, in many
domains, the natural criterion is to optimize the average reward per time step. In this
thesis, we...
Seagrasses and coral reefs play important roles in nutrient cycling, coastal protection, and maintaining marine biodiversity. However, these coastal marine organisms are declining globally due to anthropogenic stressors, such as rising ocean temperatures, ocean acidification, and eutrophication. These organisms live in close association with their microbiomes, which can be beneficial...
Simulated Annealing and Threshold Accepting are two stochastic search algorithms that have been successfully used on a variety of complex and difficult problem sets. Due to their stochastic nature they are not guaranteed to produce the same result for each run. This means that these techniques actually produce a distribution...
About 1% of U.S. births each year are planned home births (Vital Statistics Reports 2017). Of these, roughly 10% transfer to a higher level of care during labor (Melissa Cheyney et al. 2014), yet their experiences are rarely heard. Storytelling has long been used not only as entertainment, but as...