The vaudeville remains an oft-overlooked genre of French song that was popularized by Paris’s fairground theaters and street singers on the Pont Neuf. Many histories of French music point to the middle of the eighteenth century as the period when the vaudeville began its rapid disappearance from the city’s musical...
Prior studies about restatements generally examine outcomes under assumed auditor responsibility. Surprisingly, however, about 20% of the restatements obtained from Audit Analytics correspond to cases where the current auditor was not engaged during the misstatement period. I refer to these cases as uninvolved. The first chapter examines current literature findings...
Decision making is an essential and indispensable element in everyday life. It is posited that parallel, distinct systems subserving deliberative, goal-directed control and automatic, habitual control underlie decision making. Computational accounts suggest that model-based and model-free learning strategies give rise to these two systems respectively. The model-based system is a...
For years, neuroscientists have strived to understand memory consolidation, where salient memories are sorted and organized into distributed cortical networks for long-term storage. A large body of sleep research suggests that slow-wave sleep is an optimal opportunity for memory consolidation, and that consolidation is driven, at least in part, by...
This thesis deals with modeling long-term deformation and failure of concrete and shale structures. First concrete structures are studied. For concrete structures, design lifetime of over a hundred years is required. Shrinkage, swelling, creep and Alkali-silica reaction are significant parts of the long-term deformation of concrete and are studied here....
Complex fluids are ubiquitous, from natural materials to manufactured products. Understanding their behavior under flow is vital for engineering these materials. Extensional flow, despite being industrially relevant and often producing dominant impacts upon complex fluids, is an underserved topic compared to shear flow due to a lack of reliable apparatuses...
This dissertation develops a new framework and algorithms for statistical process control of stochastic textured surface data that have no distinct features other than stochastic characteristics that vary randomly (e.g., image data of textiles or material microstructures and surface metrology data of metal parts). All methods are general and nonparametric...
Polymer nanocomposites are a class of advanced materials comprised of soft polymer matrix and nano-filler inclusions. While it has been found qualitatively that enhancements of material properties could be achieved by dispersing inorganic nano-particles into organic polymer matrix, the intrinsic governing principles of such composite has not been thoroughly studied...
Solvent-rich polyelectrolyte complexes display a wide range of rheological properties, when different environmental parameters are applied. Due to the low energy barrier of the complexation (~10 kT), these materials possess tunable properties, with the states of these materials varying from Newtonian liquids to very tough hydrogels. This thesis aims to...
NSD2, a histone methyltransferase specific for methylation of histone 3 lysine 36 (H3K36), exhibits a glutamic acid to lysine mutation at residue 1099 (E1099K) in childhood acute lymphocytic leukemia (ALL). Cells harboring this mutation can become the predominant clone in relapsing disease. We studied the effects of this mutant enzyme...
Some of the oldest drugs targeting metabolism are the antifolates such as aminopterin and methotrexate (MTX). MTX started being used in the 1950s to treat rheumatoid arthritis. Aminopterin and MTX both target one carbon metabolism and inhibit proliferation of cells. MTX was a potent inhibitor of inflammation, because it prevented...
Connecting structure and function in nanoscale engineered materials and devices relies on the analysis of the fundamental arrangement of matter, frequently under dynamic conditions. The demand to image structures at fundamental length scales has touched inorganic materials, biology, and frequently hybrid hard/soft materials with unique phenomena driven by heterogeneous components....
Cancer radiation therapy relies on optimized treatment plans whose quality assessment is judged by dosimetric planning aims. It is computationally prohibitive to incorporate the planning aims into the optimization models. Therefore, there exists a disconnect between the two steps of (1) optimizing a plan and (2) evaluating the optimized plan,...
In this dissertation, we study different machine learning algorithms including probabilistic, sparse and deep learning based models applied to multi-sensory datasets. In many machine learning problems, samples are collected from more than one source or modality. Also, various feature extraction methods can be used to provide more than one set...
Children are known to be curious and persistent question-askers. The pervasiveness of voice interfaces represents an opportunity for children who are still learning to read and write to independently search the Internet by directing questions at conversational agents such as Amazon’s Alexa, Apple’s Siri, and the Google Assistant. However, little...
The Controlled, Site-Isolated Synthesis of Polyelemental Nanostructures in Polymer Nanoreactors Pengcheng Chen Polyelemental nanoparticles are an attractive class of materials due to their potential applications, which span the fields of catalysis, plasmonics, electronics, magnetics, targeted drug delivery, and bio-imaging. However, conventional synthetic methods for such structures are limited, especially when...
This thesis focuses on the development of a cochlear implant (CI) that uses photons to stimulate surviving auditory neurons in severe-to-profoundly deaf individuals. The benefit of optical over electrical stimulation is its spatial selectivity with the potential to create significantly more independent channels to encode acoustic information and likely enhances...
Conventional methods in industrial organization assume that firms are strategically sophisticated and set prices as best responses to their competitive environment. In the first two chapters of this dissertation, I use a detailed dataset of retail and wholesale prices from the newly legalized cannabis industry in Washington state to show...
The National Rifle Association (NRA) is much more politically powerful than we might expect it to be. Despite both shockingly high rates of gun violence and deep, durable public support for stricter rules on gun ownership, the NRA regularly defeats or weakens the content of gun control legislation. Its influence...
Interleukin 33 (IL-33) is a complex inflammatory cytokine with diverse functions. In the context of cancer development, depending on the model, the implementation and dosage, and the immune cells involved, IL-33 can elicit dramatically different outcomes. Recent studies, including our own, have explored definitive contributions of the adaptive immunity in...
Metal-organic frameworks (MOFs) are a class of nanoporous materials with highly tunable pore shape and chemistry. They are synthesized in a "building block" approach to form crystalline porous materials, which have been explored for diverse applications including gas storage and separations. Given the enormous size of the MOF design space,...
A stroke occurs when blood flow in the brain is impaired and often causes damage to corticospinal tract projections that control the muscles of the upper-extremity. Due to this damage, 50-70% of stroke survivors experience long-term upper-extremity functional deficits(Faria-Fortini, Michaelsen, Cassiano, & Teixeira-Salmela, 2011). These deficits result from motor impairments...
This dissertation investigates long-term biographies of seventeen small medieval settlements in the region of Hegranes, Skagafjörður, North Iceland, placing their creation, development, and reuse in the context of coupled social and environmental change. The individuals and households who lived at the Hegranes sites were at the nexus of both kinds...
Data mining is multidisciplinary process involving computer science, artificial intelli- gence, and machine learning. The aim of data mining is discovering knowledge from a vast amount of data. This process consists of a set of stages forming a pipeline. This pipeline process consists of multiple steps: 1) Finding the right...
Hybrid pixel detectors, comprising of pixelated sensors coupled to readout integrated circuits (ROICs) with complex in-pixel processing, are essential for many of today’s scientific instruments and imaging systems. Large-area detectors are required in a variety of systems: from detectors for synchrotron beamlines to telescopes for astronomy, which range from a...
This dissertation contains four essays. The first essay, Strategically Giving Service: The Effect of Real-Time Information on Service Efficiency, analyzes the impact of the increased availability of real-time information on the behavior of strategic agents and the implications of this phenomenon for service efficiency using data from one of the...
Localized corrosion involves the selective attack of a metal at a small, exposed site. This can be particularly devastating for load-bearing structures like bridges, which can fail catastrophically even with very little material loss. Unfortunately, such corrosion is very hard to prevent, predict, and detect. Corrosion can be prevented by...
Records of temperature and precipitation during Quaternary interglacial periods on Greenland are notably scarce, limiting assessment of the magnitude and rate of local environmental response to orbitally-driven Arctic warming. It is largely unknown if warming across Greenland was spatially uniform through past interglacials, and if warming was accompanied by major...
In solar energy conversion ranging from artificial photosynthesis to photocatalysis, transition metal complexes (TMC) are essential building blocks due to several attractive properties: intense absorption within the solar spectrum, presence of charge-transfer excited state, and substrate binding capability through coordination geometry changes. In order to gain insight into controlling solar...
Proteins represent a critical class of biomolecules, universally employed by all living organisms to fulfill essential structural, functional, and enzymatic roles necessary to support life. In nature, these polymers are composed generally of twenty natural amino acid (AA) building blocks, which can be modified with covalent adducts known as post-translational...
This dissertation researches the Cenomanian, Turonian, and Coniacian Stages (100.5 - 86.3 Ma) of the Cretaceous Period, a geologic interval of interest due to its extreme global warmth, iconic faunas, and oceanic anoxic events (OAEs). Five globally dispersed geochemical and stratigraphic case studies reconstruct interactions of the mid-Cretaceous carbon cycle...
Organic semiconductors have shown great promise for optoelectronic applications, particularly solar photovoltaics. Critical to their success is the ability to understand and manipulate the relationship between molecular structure and bulk properties. Substantial progress on understanding structural influences on electronic properties has been made for the conjugated polymers and small molecules...
In this paper, we study the basic locus in the fiber at $p$ of a certain unitary Shimura variety with a certain parahoric level structure. The basic locus $\widehat{\CM^{ss}}$ is uniformized by a formal scheme $\CN$ which is called Rapoport-Zink space. We show that the irreducible components of the induced...
The study of magnetic frustration has attracted considerable interest in the fields of materials science and condensed matter physics. Artificial Spin Ices (ASIs) are the primary systems in which magnetic frustration has been studied. To date, most studies on ASIs have been on fully periodic systems. In this thesis, we...
Owing to policy action as well as continued cost declines, solar and wind resources are projected to play a central role in many future electricity systems. Since the technological characteristics and cost structures of these resources differ significantly from traditional thermal technologies, many have questioned how market designs will need...
Blockchains are an exciting new type of Peer-to-Peer (P2P) distributed systems, which enable parties to transact directly, and maintain the record of said interactions in a distributed manner. A unique feature of blockchains is their ability to maintain a consensus without requiring knowledge on the number of participants, nor their...
In multiatomic systems, high applied pressures reduce interatomic contact distances. At pressures comparable to those inside planets, this relatively simple principle completely changes the guiding principles of chemistry and physics established at near-ambient conditions. High-pressure investigations of precisely how the laws of nature evolve in the gigapascal and megabar regime...
This dissertation explores two topics in macroeconomics related to aggregation assumptions and microfoundations. Chapters 1 and 2 focus on the representative agent aggregation assumption in the context of open economies, using both an empirical as well as a theoretical approach. Chapter 3 on the other hand, deals with the microfoundations...
Plasmonic metasurfaces are leading the development of next-generation optical devices with unprecedented compactness and functionality. In contrast to bulk refractive optics, these planar surfaces manipulate light with rationally designed subwavelength building blocks. This thesis focus on how emerging materials and design methods advance the eld of metasurfaces. Chapter 1 reviews...
Chromatin, a complex nuclear structure comprised of DNA, histones, RNA, and other nuclear proteins, is one of the most critical components within the cell because it houses the genetic information and its organization regulates important cellular functions, such as transcription, replication, and repair. Its structural organization is well understood at...
Magnetic resonance imaging (MRI) is used widely and frequently in the clinical setting to image and diagnose patients. In addition to the anatomical scans that can be acquired using MRI, different kinds of physiological parameters, such as blood flow, can be obtained by utilizing pulse sequence, scan protocol and post-processing....
Polymer nanocomposites are a designer class of materials where nanoscale particles, functional chemistry and polymer matrix combine to yield unprecedented combinations of superior physical properties. While well-defined data representation and quantitative models have been developed in material science domains such as metallic alloys, polymer nanocomposites have remained a largely untouched...
The brain is known to shrink in normal aging or neurodegenerative disease and yet the neurobiological underpinnings of the cortical atrophy remain elusive. The structural changes that represent cortical atrophy can be measured during life using the reliable and quantitative method known as magnetic resonance imaging (MRI). Primary progressive aphasia...
Electrochemical reactions on the nanoscale play a pivotal role in a variety of areas, including electrocatalysis, energy conversion and storage, corrosion prevention, plasmon driven chemistry, and so forth. An in-depth knowledge of how site-specific compositions and morphologies locally affect the electron transfer kinetics will greatly benefit the design of catalysts,...
Phenotypic variation is the functional unit that evolution acts upon and is the main contributor to the diversity of species. The phenotype of an individual is shaped by genetic and environmental factors. These genetic and environmental factors contribute to biomedically relevant traits such as an individual’s susceptibility to disease and...
Women living with human immunodeficiency virus (WLWH) have unique health challenges. Understanding psychological strengths that help WLWH manage their disease and improve health outcomes could reduce disease burden. Although spirituality, a multidimensional construct that includes a search for meaning and purpose, connection with a higher dimension, and experiences and feelings...
I investigate the spillover effects of disclosure requirements imposed by state governments on oil and gas companies operating in the state. Recently, several state governments have begun requiring companies to publicly disclose information about chemicals used in their fracking operations. The chemicals can result in land and water contamination, thereby...
The Picard group is an important invariant of the $K(n)$-local category. If the prime $p$ is relatively large compared to the height $n$, the Picard group of the $K(n)$-local category is purely algebraic. In \cref{chapter:finitetype}, we describe the necessary and sufficient numerical condition when an element $X$ in the Picard...
Contest theory is an area of game theory that studies environments in which agents make sunk investments in order to get a prize. These investments could be money, effort, time, etc. Contest theory is used to study a wide range of applications, like political contests, research and development, advertisement campaigns,...
DNA topoisomerases are enzymes present in all domains of life. They are responsible for maintaining the topological state of DNA in cells through supercoiling, relaxation, catenation, decatenation, knotting and unknotting. DNA gyrase is a unique topoisomerase, present mainly in bacteria that can introduce negative supercoils into DNA utilizing ATP hydrolysis....