This dissertation explores the impact of diversity, intersectionality, and diversity management on job satisfaction within the federal workforce. The three constituent st[...]

Medically unexplained symptoms (MUS), defined as symptoms lacking objective test findings or known biological causes, are highly prevalent and pose significant challenges[...]

Combat, a common source of trauma in the military, is consistently predictive of post-traumatic stress disorder (PTSD) among servicemembers deployed to Iraq and Afghanist[...]

Machine learning has risen to the forefront of scientific research due to its unparalleled predictive capabilities. As a result, researchers have become increasingly inte[...]

The problem of bias resulting from biological and technological sources is one that must be consistently reexamined alongside the development of new technologies and meth[...]

Climate change presents a pressing challenge for natural disaster management, to quantify its effects and associated disasters is a persistent challenge for regional clim[...]

Family engagement is a crucial component of student success, impacting academic performance, attendance rates, and behavior. However, many families, particularly those fr[...]

The purpose of this study was to better understand the living-learning community (LLC) experience and the residential-optional learning community (ROLC) experience, speci[...]

Trigger-action Internet of Things (IoT) platforms allow users to leverage functional dependencies between IoT event conditions and actions to set up trigger-action rules [...]

Diffusion is a scientific phenomena that can be modeled by partial differential equations. In this dissertation we first explore the development of equations for local, n[...]