Browsing Theses and Dissertations by Title
Now showing items 4499-4518 of 6862
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Non-Parametric Priors for Functional Data and Partition Labelling Models
(2017)Previous papers introduced a variety of extensions of the Dirichlet process to the func-tional domain, focusing on the challenges presented by extending the stick-breakingprocess. In this thesis some of these are examined ... -
Non-Pharmacological Approaches for Pain Management in Sickle Cell Disease: Development of a Mindfulness-Based Intervention
(2016)Background: Sickle Cell Disease (SCD) is a genetic hematological disorder that affects more than 7 million people globally (NHLBI, 2009). It is estimated that 50% of adults with SCD experience pain on most days, with 1/3 ... -
Non-recurrent Wideband Continuous Active Sonar
(2014)The Slow-time Costas or "SLO-CO" Continuous Active Sonar (CAS) waveform shows promise for enabling high range and velocity revisit rates and wideband processing gains while suppressing range ambiguities. SLO-CO is made up ... -
Non-Taxation and Representation: an Essay on Distribution, Redistribution, and Regime Stability in the Modern World
(2007-12-17)Drawing upon formal modeling, cross-national statistical analysis, and in-depth case studies, this dissertation explores the relationship between patterns of government revenue generation and political regime stability. ... -
Non-uniform Interstitial Loading in Cardiac Microstructure During Impulse Propagation
(2009)Impulse propagation in cardiac muscle is determined not only by the excitable properties of the myocyte membrane, but also by the gross and fine structure of cardiac muscle. Ionic diffusion pathways are defined by the ... -
Non-viral Transfection and Direct Reprogramming of Fibroblasts to Neurons and Glia: Importance of Physical and Chemical Microenvironments
(2014)The recent discovery that fibroblasts can be reprogrammed directly to functional neurons with lentivirus has reinvigorated the belief that autologous human cell therapies against many neurodegenerative diseases may be ... -
Nonholonomically Constrained Dynamics and Optimization of Rolling Isolation Systems
(2016)Rolling Isolation Systems provide a simple and effective means for protecting components from horizontal floor vibrations. In these systems a platform rolls on four steel balls which, in turn, rest within shallow bowls. ... -
Noninvasive Vascular Characterization with Low-cost, Label-free Optical Spectroscopy and Dark Field Microscopy Enables Head and Neck Cancer Diagnosis and Prognosis
(2016)Worldwide, head and neck squamous cell cancers (HNSCC) account for over 375,000 deaths annually. The majority of these cancers arise in the outermost squamous cells which progress through a series of precancerous changes ... -
Nonlinear Aeroelastic Analysis of Flexible High Aspect Ratio Wings Including Correlation with Experiment
(2009)A series of aeroelastic analyses is performed for a flexible high-aspect-ratio wing representative of a high altitude long endurance (HALE) aircraft. Such aircraft are susceptible to dynamic instabilities such as flutter, ... -
Nonlinear Dynamics and Network Properties in Granular Materials under Shear
(2013)Granular materials are hard to understand due to their discrete and a-thermal nature. The mechanical response of a granular packing under external deformations, although highly relevant in industrial processes, is still ... -
Nonlinear Dynamics of Discrete and Continuous Mechanical Systems with Snap-through Instabilities
(2012)The primary focus of this dissertation is the characterization of snap-through buckling of discrete and continuous systems. Snap-through buckling occurs as the consequence of two factors, first the destabilization, or more ... -
Nonlinear Electroelastic Dynamical Systems for Inertial Power Generation
(2011)Within the past decade, advances in small-scale electronics have reduced power consumption requirements such that mechanisms for harnessing ambient kinetic energy for self-sustenance are a viable technology. Such devices, ... -
A Nonlinear Harmonic Balance Solver for an Implicit CFD Code: OVERFLOW 2
(2009)A National Aeronautics and Space Administration computational fluid dynamics code, OVERFLOW 2, was modified to utilize a harmonic balance solution method. This modification allows for the direct calculation of the nonlinear ... -
Nonlinear Prediction in Credit Forecasting and Cloud Computing Deployment Optimization
(2015)This thesis presents data analysis and methodology for two prediction problems. The first problem is forecasting midlife credit ratings from personality information collected during early adulthood. The second problem is ... -
Nonparametric Bayes Analysis of Social Science Data
(2015)Social science data often contain complex characteristics that standard statistical methods fail to capture. Social surveys assign many questions to respondents, which often consist of mixed-scale variables. Each of the ... -
Nonparametric Bayes for Big Data
(2014)Classical asymptotic theory deals with models in which the sample size $n$ goes to infinity with the number of parameters $p$ being fixed. However, rapid advancement of technology has empowered today's scientists to collect ... -
Nonparametric Bayes Models for High-Dimensional and Sparse Data
(2010)Bayesian nonparametric methods are useful for modeling data without having to define the complexity of the entire model a priori, but rather allowing for this complexity determined by the data. We consider novel nonparametric ... -
Nonparametric Bayesian Context Learning for Buried Threat Detection
(2012)This dissertation addresses the problem of detecting buried explosive threats (i.e., landmines and improvised explosive devices) with ground-penetrating radar (GPR) and hyperspectral imaging (HSI) across widely-varying ... -
Nonparametric Bayesian Dictionary Learning and Count and Mixture Modeling
(2013)Analyzing the ever-increasing data of unprecedented scale, dimensionality, diversity, and complexity poses considerable challenges to conventional approaches of statistical modeling. Bayesian nonparametrics constitute a ... -
Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies
(2012)The thesis develops nonparametric Bayesian models to handle incomplete categorical variables in data sets with high dimension using the framework of multiple imputation. It presents methods for ignorable missing data in ...
