Browsing Duke Dissertations by Issue Date
Now showing items 21-40 of 5764
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Essays on the Economics of Affordable Housing
(2023)There is growing evidence suggesting that neighborhoods play a crucial role in the accumulation of human capital and have tremendous effects on the opportunities available to people who live in them. The fact that selecting ... -
Integrating Psychology and Neuroscience Approaches to Optimize Physical Activity Behavior Change
(2023)Physical activity has many benefits including promoting healthy aging, reducing risk of chronic disease, and supporting general well-being. Despite this, many adults do not get significant amounts of daily physical activity. ... -
Crisis: Masculinity and an Ethic of Care in American Literature
(2023)This dissertation takes three crisis periods that have occurred throughout American history—times of war, times of disease, and times of apocalypse—and examines how such periods simultaneously provoke what can be called ... -
Essays on Information and Dynamic Incentives
(2023)This dissertations consists of three essays on information and dynamic incentives. In Chapter 1, I study the value of information in monotone decision problems where the action spaces are potentially multidimensional. As ... -
Weak Lensing Cosmology Analysis with Stage-III Cosmic Shear Surveys
(2023)As light travels from distant galaxies it is coherently bent by the gravitational potential of the mass distribution between the source and the observer. This weak gravitational lensing creates correlations between galaxy ... -
The Demand for Businessperson Politicians: How Do Businesspeople Win Electoral Nominations and Votes?
(2023)Businesspeople are a highly represented occupational group in the governments of many countries. What electoral strategies do these businessperson politicians employ that afford them high electoral success? In a context ... -
Improving Scalability of Trapped-Ion Quantum Computers Using Gate-Level Techniques
(2023)Trapped ions provide a promising platform to build a practical quantum computer. Scaling the high performance of small systems to longer ion chains is a technical endeavor that benefits from both better hardware system design ... -
Essays in Public Economics
(2023)This thesis focuses on multiple themes in the field of public economics with intersectionsin development economics, environmental economics, and political economy. The overarching themes of this work are focuses on the city, ... -
Energetics of Turbulence Explains Physical Transport Processes in the Environment
(2023)The indispensability of turbulent transport processes in environmental flows for a broad spectrum of applications, such as river restoration, sediment transport, and wetland design, is a widely acknowledged fact. Notably, ... -
MITIGATING COHERENT NOISE
(2023)Stochastic errors in quantum systems occur randomly but coherent errors may be more damaging since they can accumulate in a particular direction. We develop a framework for designing decoherence free subspaces (DFS), that ... -
Three Papers on Public Schools and Political Participation Among Americans of Color
(2023)For students of color, how do school experiences early in life affect adult political participation later on? Political scientists have long understood that race plays a critical role in political behavior; however, scholars ... -
Software-Hardware Co-design For Deep Learning Model Acceleration
(2023)Current deep neural network (DNN) models have shown beyond-human performance in multiple artificial intelligent tasks. However, state-of-the-art DNN models still exhibit great issues on efficiency that pose significant obstacles ... -
Rereading Lucretius: The Plague of Athens and Epicurean Attachment in De Rerum Natura
(2023)This dissertation addresses the problem of the concluding passage of Lucretius’ didactic poem De Rerum Natura, which famously consists of a vivid and evocative account of the Plague of Athens of 430 BCE that ends abruptly ... -
Dynamic Models of Innovation and Learning
(2023)This dissertation analyzes three dynamic models of innovation. The primary focus of the analysis of each model is to highlight the role of endogenous mechanisms---such as observational learning and product market competition---in ... -
Interpretable Machine Learning With Medical Applications
(2023)Machine learning algorithms are being adopted for clinical use, assisting with difficult medical tasks previously limited to highly-skilled professionals. AI (artificial intelligence) performance on isolated tasks regularly ... -
Machine Learning to Estimate Exposure and Effects of Emerging Chemicals and Other Consumer Product Ingredients
(2023)Chemicals in consumer products can influence our risk for developing adverse health conditions. This research addresses knowledge gaps in our ability to evaluate chemical safety, particularly for emerging substances on the ... -
Investigating the Influence of Red Blood Cell Interactions on Large-Scale Cancer Cell Transport: Bridging the Gap through Advances in Computational Techniques
(2023)Metastatic cancer, the leading cause of cancer mortality, involves the complex process of circulating tumor cells (CTCs) spreading through the bloodstream and forming secondary tumors far away from the primary mass, which ... -
Deep Learning for the modeling and design of artificial electromagnetic materials
(2023)Artificial electromagnetic materials (AEMs) are materials that exhibit unusual electromagnetic properties. With sub-wavelength, periodic structures, AEMs can achieve incredible abilities to manipulate light, like the cloaking ... -
Context-Specific Adjustments of Cognitive Flexibility
(2023)The stability-flexibility dilemma describes the challenge of balancing the antagonistic goals of focusing on the current task-set (cognitive stability) and updating that task-set in response to changes in the environment ... -
Causal Inference for Natural Language Data and Multivariate Time Series
(2023)The central theme of this dissertation is causal inference for complex data, and highlighting how for certain estimation problems, collecting more data has limited benefit. The central application areas are natural language ...
