Mycobacterium tuberculosis (Mtb) infection elicits both protein and lipid antigen-specific T cell responses. However, the incorporation of lipid antigens into subunit vaccine strategies and formulations has been under-explored, and the properties of vaccine-induced Mtb lipid-specific memory T cells have remained elusive. Mycolic acid (MA), a major lipid component of the...
Soft materials in nature are formed through programmed self-assembly of biomolecules to create complex architectures and optimized physical properties. It is therefore a key challenge in biomaterials science and engineering to understand the principles that govern the structure and properties of such materials, and the interactions between their different components....
Transport along and across the grain boundaries of solid-state electrolytes has implications for a broad range of materials and in an equally broad range of technologies. Over the past 2-3 decades, a substantial body of literature has been developed to explain grain boundary transport properties within the context of space...
Many theories of categorization have included an intuitive role for our ability to detect and judge similarity. Yet, this important role of similarity processing has been disputed. This research adopts a model of similarity processing through structure mapping (Gentner, 1983) to explore its role in similarity processing and categorization. Relational...
Dark matter (DM) is one of the most outstanding problems in physics and is a promising hint for physics beyond the Standard Model. Many dark matter detection experiments have been built, with weakly-interacting massive particles (WIMP) as a popular DM candidate. There are also growing interest in light (keV-GeV)...
Visual Question Answering (VQA) increasingly attracts industry and academia attention. It requires the model to provide a natural language answer by an image and a related natural language question. Meanwhile, it relates to multidisciplinary research such as natural language understanding, visual information retrieval, and multimodal reasoning. As a multimodality task,...
This dissertation investigates the muscle-powered transport technologies that pervaded the Japanese empire. It examines the production, adoption, evolution, and decline of draft animals, rickshaws, human-powered railways, and push-car railways in Japan and colonial Taiwan, 1850-1930. Invented in Tokyo in 1870, rickshaws proliferated across Asia and became a symbol of modern...
Navigating through the world is typically a multisensory experience. Mammals are believed to navigate using a cognitive map of space stored in the hippocampus. Yet, it is unclear how and whether spatial information of different sensory modalities can contribute to this map. A major barrier to addressing this question has...
Nanoparticle synthesis is capable of producing particles with any combination of structure, chemistry, size, shape, and surface. All of the different combinations of these physical properties can produce nanoparticles with almost countless materials properties suited for many applications. Given this interest in using nanoparticles in so many different fields, including...
Friction modulation technology developed over the past decade now enables the creation of rich textural effects on flat haptic displays. However, an intuitive and manageably small design space for construction of such haptic textures remains an unfulfilled goal for user interface designers. In this thesis, I explore perceptually relevant features...
Cuteness is a popular aesthetic in product design, yet there is a lack of understanding of who is most likely to engage in cute consumption and, more importantly, why. In this dissertation, I consider the role of sex and gender identity in cute consumption, proposing a strong mental association between...
The thesis is concerned with the design and control of large-scaled queueing systems that are operated under heavy traffic, focusing on the following two research questions: For a given queueing system, how to find a proper heavy-traffic limit that accurately approximates various performance metrics? For multi-class queueing systems, how to...
Our experience of the physical world is mediated by our senses, but while most people have five senses, interactions with computer systems are largely limited to the visual sense. When working with nonvisual artifacts, like sound, on computers, such artifacts are typically transformed, or re-encoded, into something visual. Determining how...
The goal of this thesis is to prove that topological restriction homology, TR, is locally even in the quasi-syntomic topology in characteristic p. This local evenness was already known for the other main trace theories, but is more subtle for TR.
Romantic and sexual relationships are an integral part of human development, with implications for emotional, social, and physical well-being across the lifespan. However, what, when, and how we teach young people remain pertinent questions. Using a combination of interview data from 24 recent high-school graduates and survey data from a...
Search engines and social media are two ubiquitous modes of accessing Web information, and they dictate what information people view, influencing their thoughts and beliefs and potentially shaping their opinions about news and facts. Network effects propagate the beliefs, often magnified, disseminating information rapidly and leaving little time for fact...
Three-dimensional (3D) imaging has been widely used in academic research and industrial applications. Compared to 2D representations, 3D imaging can yield more information about geometric structures of an object such as small surface variations that are difficult to perceive otherwise. 3D image contents provide additional information that is complementary to...
Autism spectrum disorder (ASD) is a heterogeneous disorder defined by core deficits in social communication as well as the presence of restricted interests and repetitive behaviors, including sensory processing atypicalities. Individuals with ASD also have atypicalities in integration of multiple sensory modalities (i.e., sensory integration), which are hypothesized to underlie...
Astrocytes are the most abundant cell type in the brain, yet the mechanisms involved in astrocyte differentiation and the level of astrocyte heterogeneity in the CNS, particularly in the human cortex, is largely unknown due to the lack of subtype-specific astrocyte markers and inaccessibility of human brain tissue. Here we...
The logistics of policy implementation can lead to a delay from when the actual change in behavior occurs, leading to a shift in a time series. Using change point analysis allows for the data to determine where a change in mean, or other parameters, occurred. But when policy is implemented...
In this dissertation, I combine quasi-experiments and computational tools with large-scale data in new ways to address questions that revolve around the Matthew Effect of status. My dissertation is a collection of four empirical papers on status at both the organizational and the individual levels. I employ two distinct empirical...
Drawing from the data I collected through nine months (between 2014 to 2017) of participant observations, 120 in-depth, semi-structured interviews, and archival work, the project explores the tactics that Chechen and Dagestani journalists utilize to resist state pressure and circumvent state-imposed censorship. Specifically, I explicate how these regional journalists in...
We live in an increasingly computational world; one that, in the near term, may require everyone to be computationally literate. Computer science (CS) education has greatly increased its reach in the last two decades with an increasing number of students having access to formal computer science classroom experiences in the...
This dissertation is an ethnographic study of the dance makerspace, a learning environment designed to support STEM engagement through making and embodied experience for a group of African American youth dancers. It looks at how participants in a 4-week summer camp program at an urban creative arts center-turned-makerspace, constructed embodied...
Drawing on archival research and a new attention to literary form, Sion’s Muse argues that the religious poetry of the English Reformation decisively constituted new modes of devotional affect for laypeople. At the beginning of the English Reformation, the psalm translator Miles Coverdale wrote, “Would God that our minstrels had...
Within scholarship on mid-century Hollywood musicals, celebrity, glamour, and spectacle are commonly included in the conversation about the films themselves. Yet, what happened when these films – which privilege visuality – were adapted into purely aural forms, has not been as deeply analyzed. In this project, I track the cross-media...
Economic inequality has reached historically high levels in both the United States and in the world. The research literature in sociology and political science has long shown that individuals tend to be very persistent in their views on the determinants of economic success, although these views may be formed on...
Neurodegenerative diseases (NDs) commonly involve the accumulation and aggregation of neurotoxic proteins that impair and ultimately destroy specific neurons. Considerable evidence from human and animal studies indicates that many NDs show disrupted circadian and sleep as symptoms. Yet little is known about the molecular mechanisms by which genes cause NDs...
Dystonia is a movement disorder characterized by involuntary and repetitive co-contractions of the agonist and antagonist muscles. Dystonia 6 (DYT6) is an autosomal dominant dystonia caused by loss of function mutations in the zinc finger transcription factor THAP1. I have generated Thap1 knock-out mice with a view to understanding its...
The Brink-Schwarz superparticle is a one-dimensional analogue of the Green-Schwarz superstring. In this thesis, we use the Batalin-Vilkovisky formalism to study the superparticle. After proving a vanishing result for its Batalin-Vilkovisky cohomology, we explain the sense in which the superparticle exhibits general covariance in the world-line. Using techniques from rational...
Spinal cord injury (SCI) is a devastating injury, which can be caused by motor vehicle accidents, violence, and non-traumatic causes. These injuries can leave patients with lifelong paralysis, as well as incontinence and life threatening autonomic dysreflexia. There is currently no FDA approved treatment for SCI. Spinal injury disrupts the...
Developing materials with comparable structural complexity and programmed hierarchy as those found in nature is a grand challenge in materials science. One way to synthesize soft materials with these complex architectures is to use bottom-up self-assembly of nanoscale building blocks, mimicking how organisms grow tissues with specific functions from peptides,...
Bio-inspired materials have a distinct advantage over other materials by virtue of their mimicry of nature’s own products, which have been subjected to the inimitable tests of time and evolutionary pressure. Here we have taken instruction from natural nanostructures that are ubiquitous across the animal kingdom, namely high-density lipoproteins (HDL)....
This dissertation, titled “Empire of Ruins: France in Roman Africa, 1830-1900,” explores the relationship between French colonialism in Algeria and Tunisia and the study of Roman Africa in the nineteenth century. Its central argument is that the French study and use of Roman ruins produced a version of Roman history...
Carbonates constitute Earth's largest carbon (C) reservoir, with most shallow marine deposition occurring on the low-latitude carbonate platforms covering ~800,000 km2. The Yucatán Platform situated between the Western Caribbean and Gulf of Mexico basins, is one of the largest present-day carbonate platforms. As with post-Paleozoic carbonates generally, it is readily...
Speech recognition in complex acoustic environments is dependent on myriad bottom-up (i.e., peripheral) and top-down (i.e., central) processes. While bottom-up processes remain fairly stable during childhood, the development of top-down processes persists into young adulthood. The immaturity of top-down processes places younger children at considerable risk for poorer speech recognition...
Optimization via simulation (OvS) is the practice of minimizing or maximizing the expected value of the output of a stochastic simulation model with respect to controllable decision variables. Stochastic simulation is a standard tool within operations research and is often required to model complex systems subject to uncertainty where it...
The increasing demand for green energy has created great demand for high purity lanthanide elements because of their wide range of applications, such as in permanent magnets, batteries, and high-energy capacitors. Solvent extraction, which transfers ions from aqueous solutions to organic liquid phases with the support of extractant molecules, is...
Proper partitioning of mitochondria and mtDNA is critical for cellular health. Investigations into mitochondrial inheritance, specifically how mtDNA inheritance is coupled with the inheritance mitochondrial compartment, are still in the early stages. We use budding yeast as a model polarized cell system to study a mitochondrial Myo2-adaptor protein, Mmr1, in...
This dissertation investigates the use of organic and semiconductor nanomaterials as chromophores in solar fuels production and energy transfer-mediated [2+2] cycloadditions. A series of novel N-annulated perylene chromophore amphiphiles was synthesized via a modular synthesis. These perylene amphiphiles were found to self-assemble in aqueous solution, forming extended ribbon-like nanostructures that...
The study and design of machines that are able to analyze the auditory scene and organize sound into parts that are perceptually meaningful to humans is referred to as machine hearing. Such machines are expected to distinguish between different sound categories (e.g., speech, music, background noise), focus on a sound...
Imagine sitting in a room listening to some friends play a song. Perhaps one friend is playing guitar, another playing bass, and a third is playing drums. The musical content in this scene is extraordinarily complex, yet it contains many types of structure that is easy for us to comprehend....
In the late 2000’s, scientific studies in cultural heritage saw a great advancement in macro X-ray fluorescence (XRF) imaging of paintings. These images are used to generate elemental distribution maps, which aid in identifying chemical elements and paint pig- ments as well as their locations throughout the layers of the...
We consider data-driven approaches for universal texture modeling via generative adversarial networks and inversion methods. We investigate the properties of the learned representation spaces and demonstrate that a strong link between texture analysis and synthesis is the key to successful texture modeling. First, we visit the problem of texture synthesis...
Location-aware technologies, such as personal navigation applications, location-based AR games, and artificial intelligence systems that learn from data about places, increasingly mediate our understanding of and interactions with the world. However, a number of risks associated with location-aware technologies have emerged, jeopardizing the welfare of its users. This dissertation seeks...
Recent advancements in processing and manufacturing techniques have spurred an exponential increase in use of polymer nanocomposites in a variety of applications. A key challenge in using these nanocomposites effectively is the dispersion of nanoparticles in the polymer matrix. Matrix-free assemblies of polymer grafted nanoparticles, called hairy nanoparticles assemblies(aHNPs) have...
Intelligence in humans is largely characterized by the ability to encode information into compressible representations to facilitate efficient communication for collaboration and learning. The goal of this thesis is to enable robots to both learn and act on compressible representations in real-time. I show how active exploration with respect to...
While optimization has received much attention in the machine learning community, most of them consider unconstrained supervised learning models such as neural networks and support vector machine. In this dissertation, we introduce a new class of optimization problems called scale invariant problems that include interesting unsupervised learning models such as...
This thesis focuses on applications of recurrent neural networks (RNNs) for three aspects of sequential classification. In the first chapter, a novel method to generate synthetic minority data generation to improve imbalanced classification is discussed. Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic...
Previous studies have documented a systematic discrepancy between probabilistic seismic hazard maps and historical records of shaking (Stein et al., 2015; Brooks et al., 2016, 2017, 2018, 2019; Salditch et al., 2020; Salditch, 2021). In almost every case, shaking predicted by the hazard map is higher than that historically observed....