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Multi-Stage Stochastic Optimization And Reinforcement Learning For Forestry Epidemic And Covid-19 Control Planning, Sabah Bushaj Aug 2021

Multi-Stage Stochastic Optimization And Reinforcement Learning For Forestry Epidemic And Covid-19 Control Planning, Sabah Bushaj

Dissertations

This dissertation focuses on developing new modeling and solution approaches based on multi-stage stochastic programming and reinforcement learning for tackling biological invasions in forests and human populations. Emerald Ash Borer (EAB) is the nemesis of ash trees. This research introduces a multi-stage stochastic mixed-integer programming model to assist forest agencies in managing emerald ash borer insects throughout the U.S. and maximize the public benets of preserving healthy ash trees. This work is then extended to present the first risk-averse multi-stage stochastic mixed-integer program in the invasive species management literature to account for extreme events. Significant computational achievements are obtained using …


The Associations Of Chronic Stress, Social Support, Health Behaviors And Metabolic Syndrome Among Hispanic Women, Edna Esquer May 2021

The Associations Of Chronic Stress, Social Support, Health Behaviors And Metabolic Syndrome Among Hispanic Women, Edna Esquer

Dissertations

The Associations of Chronic Stress, Social Support, Health Behaviors and Metabolic Syndrome Among Hispanic Women

Background: Metabolic syndrome (MetS) prevalence is 25% among Mexican American women 30 – 49 years of age, compared to 22% among non-Hispanic Whites in the United States. Little is known about the additional contributions of chronic stress, social support and health behaviors to the development of MetS among this population.

Purpose: Describe the associations between chronic stress, social support, and health behaviors and the presence of MetS in Hispanic women living in an underserved community.

Methods: A retrospective cohort study design. The Adult Treatment Panel …