Index Catalog // ScholarsArchive@OSU

Active Learning from Examples, Queries and Explanations

Creator:: Hamidi-Haines, Mandana
Abstract:: Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
Resource Type:: Dissertation
Full Text:: minor advisor Professor Sarah Emerson from the Statistics Department at OSU. The knowledge I gained from

Measuring the Economic Impacts of Natural Disturbances and Policy Interventions on Log and Lumber Markets in Oregon

Creator:: Zhai, Jun
Abstract:: The forest sector forms an important part of Oregon’s economy, especially in rural communities. However, the economic performance and development of the sector are subject to both significant natural disturbances and to new and existing policies. The most common and disastrous natural disturbances in Oregon are wildfires. The Biscuit Fire...
Resource Type:: Dissertation
Full Text:: deeply thank my committee members Dr. Brandon Kaetzel, Dr. Tamara Cushing, and Dr. Kevin Lyons for

Regulation of Skeletal Muscle Mitophagy in Response to High-fat Feeding and Exercise Training

Creator:: Ehrlicher, Sarah E.
Abstract:: Understanding the mechanisms regulating mitochondrial respiratory function and adaptations to metabolic challenges, such as exercise and high dietary fat, is necessary to promote skeletal muscle health and attenuate metabolic disease. Autophagy is a constitutively active degradation pathway that promotes mitochondrial turnover and is suppressed by insulin and activated by exercise....
Resource Type:: Dissertation
Full Text:: DISSERTATION OF Sarah E. Ehrlicher for the degree of Doctor of Philosophy in Nutrition presented on May 29

Development of innovative applications for passive sampling devices : monitoring bioavailability, risk from exposure and environmental mixture toxicity

Creator:: Allan, Sarah E.
Abstract:: Chemicals must be bioavailable for there to be a potential for exposure and consequent risk to human or environmental health. Passive sampling devices (PSDs) are used to quantify the time-integrated concentration of bioavailable contaminants. We demonstrate that PSDs can be paired with the zebrafish developmental toxicity bioassay to produce site-specific,...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Sarah E. Allan for the degree of Doctor of Philosophy in

Going somewhere or getting stuck : transitions to adulthood in rural Oregon

Creator:: Cunningham, Sarah E.
Abstract:: This dissertation explores the real world problem of rural youth out-migration and finds that the central problem is one of persistent class difference in this rural Oregon town. The research that informs this dissertation was conducted in a rural community of approximately 2300 residents in Eastern Oregon, here called Talltown....
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Sarah E. Cunningham for the degree of Doctor of Philosophy in

The influence of community service volunteer work on perceptions of job satisfaction and organizational commitment among Oregon employees of Pacific Northwest Bell

Creator:: Stebbins, Sarah J.
Abstract:: Corporate employee volunteer programs are redefining "corporate social responsibility." Community benefits derived from these programs are well documented. However, there is limited research on what internal impact such programs have on the sponsoring corporations. Kast and Rosenzwieg (1978) define "organizational performance" as "effectiveness," "efficiency" and "participant satisfaction." The study focused...
Resource Type:: Dissertation

Estimation and Sparse Selection of Conditional Probability Models for Vector Time Series

Creator:: Ruiz, Trevor D.
Abstract:: Diverse scientific fields collect multiple time series data to investigate the dynamical behavior of complex systems: atmospheric and climate science, geophysics, neuroscience, epidemiology, ecology, and environmental science. Identifying patterns of mutual dependence among such data generates valuable knowledge that can be applied either for inferential or forecasting purposes. Vector autoregressive...
Resource Type:: Dissertation
Full Text:: : Sharmodeep Bhattacharyya Sarah C. Emerson Diverse scientific fields collect multiple time series data to

Utilizing a Lab-Based Minority Stress Paradigm for Experimental Research among Sexual and Gender Minority Groups: Application and Considerations

Creator:: Fahey, Kalina M. L.
Abstract:: Sexual and gender minority (SGM) samples report elevated rates of substance use and substance use disorder compared to their heterosexual and cisgender counterparts across a wide variety of substances (Connolly & Gilchrist, 2020; Krueger et al., 2020; Rice et al., 2019), in part due to the experience of minority stress....
Resource Type:: Dissertation
Full Text:: : ______________________________________________________ Anita Cservenka and Sarah S. Dermody Sexual and gender minority (SGM) samples

Construction of Anomaly Scores and Probabilities using Random Sampling : A New Score, Efficient Computation, and Threshold Selection.

Creator:: Zongo, Kalbi F.
Abstract:: Anomaly detection is the task of identifying observations (points) that differ from the majority of other points, which requires some measure of difference, or distance. Many anomaly detection methods rely on “implicit distance” measures: rather than directly calculating an explicitly defined distance, these approaches quantify a point’s “abnormality” by examining...
Resource Type:: Dissertation
Full Text:: Selection Abstract approved: Charlotte Wickham Sarah C. Emerson Anomaly detection is the task of

Localized Variable Selection with Random Forest

Creator:: Niyaghi, Faraz
Abstract:: Due to recent advances in computer technology, the cost of collecting and storing data has dropped drastically. This makes it feasible to collect large amounts of information for each data point. This increasing trend in feature dimensionality justifies the need for research on variable selection. Random forest (RF) has demonstrated...
Resource Type:: Dissertation
Full Text:: _________________________ Sarah C. Emerson Sharmodeep Bhattacharyya Due

ScholarsArchive@OSU

Active Learning from Examples, Queries and Explanations

Measuring the Economic Impacts of Natural Disturbances and Policy Interventions on Log and Lumber Markets in Oregon

Regulation of Skeletal Muscle Mitophagy in Response to High-fat Feeding and Exercise Training

Development of innovative applications for passive sampling devices : monitoring bioavailability, risk from exposure and environmental mixture toxicity

Going somewhere or getting stuck : transitions to adulthood in rural Oregon

The influence of community service volunteer work on perceptions of job satisfaction and organizational commitment among Oregon employees of Pacific Northwest Bell

Estimation and Sparse Selection of Conditional Probability Models for Vector Time Series

Utilizing a Lab-Based Minority Stress Paradigm for Experimental Research among Sexual and Gender Minority Groups: Application and Considerations

Construction of Anomaly Scores and Probabilities using Random Sampling : A New Score, Efficient Computation, and Threshold Selection.

Localized Variable Selection with Random Forest

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