Caves are accessible windows into the shallow subsurface, serving as transitional ecosystems between the photosynthesis-dependent surface and the deeper subsurface. Without a source of solar energy to ultimately power carbon (C) fixation (photolithoautotrophy), cave ecosystems are either reliant on surface-derived nutrients, recovering reducing power from the microbial oxidation of redox-sensitive...
Global dementia diagnoses are steeply increasing. While advances in neuroimaging, neuropathology, and genetics research have improved our understanding of neurodegenerative diseases causing dementia, precise antemortem diagnosis, as well as sensitive and specific biomarkers that can facilitate a differential diagnosis and aid in participant recruitment in clinical trials, remains elusive. The...
This dissertation explores critiques of mass education alongside the rise of the research university as they appear in the early writings of Friedrich Nietzsche and Walter Benjamin. More specifically, it traces the development of a theory of (un)learning that inserts distance into the pedagogical relation to produce a discretized educational...
Cancer is a complex and heterogeneous disease characterized by aberrant gene regulation. Gene regulation is fundamentally orchestrated by the 3D genome organization which involves chromatin looping, compartmentalization, and the formation of topologically associating domains (TADs). Structural variations (SVs), such as genomic rearrangements, deletions, inversions, and duplications, are commonly observed in...
This dissertation explores how dominant U.S. constructions of race, class, and gender are embedded into and inscribed onto artificially intelligent virtual assistants and the labors they perform. I examine virtual assistants like Amazon’s Alexa, Apple’s Siri, and Microsoft’s Cortana, interrogating their complex relationship to humanness, the tasks they are programmed...
This thesis explores how beyond-the-Standard-Model physics interactions could lead to the detection of neutrino decay with lifetimes that are orders of magnitude smaller than a second. I mainly focused on right-handed neutrino fields, new heavy states, and non-zero daughter neutrino masses, assuming the neutrinos are Dirac fermions. An extensive description...
Clustering is a fundamental task in unsupervised learning, which aims to partition the data set into several clusters. It is widely used for data mining, image segmentation, and natural language processing. One of the most popular clustering methods is centroid-based clustering, including k-medians and k-means clustering. k-medians and k-means clustering...
This dissertation focuses on the study of the superionic state in multicomponent systems, where the smaller component exhibits delocalization and mobility while still maintaining system compactness through component attractions. Superionic behavior is widely observed in various systems and plays a crucial role in ceramic superionic conductors, which offer high ion...
One of the greatest challenges in heterogeneous catalysis is the rational design and development of new catalytic systems, due to synthetic limitations in the design of solid catalysts and inhomogeneity of chemical sites at solid surfaces. This obfuscates understanding of catalyst behavior and slows improvements of processes. One approach to...
Clean water supplies are required for industry and general life. However, water shortages dueto pollution and human activity are increasingly common, and new, more efficient, materials need
to be made to increase clean water supplies. To do this, fundamental information on the interaction
of water with ions at the atomic...