VictorJuiz/thesis huggingface dataset:
Mores of Addiction: Alcohol, Femininity, and Social Transformation in Western Ukraine
Keywords: gender
alcohol
addiction
Ukraine

Since the Austro-Hungarian and Tsarist eras, men’s intoxication has been deemed ‘masculine’ and women’s sobriety ‘feminine’ in western Ukraine; however, these ideologies are being rewritten to fit the new, post-socialist environment and to underscore a divergence from the Soviet past. While men are judged based on their ability to function after imbibing copious amounts of alcohol, women are explicitly expected to embody two stereotypes: the ‘Berehynia’ (a recently reformulated goddess of family and nation) and the ‘Barbie’ (a more globally-informed image). Digression from the ‘Barbie’ model is used as evidence to render public diagnoses of addiction, while the ‘Berehynia’ model underscores the sentiment that “we are not allowed to be weak.” Women are expected to be stronger than men; indeed, women are widely regarded as the carriers of morality. While men’s addiction is often met with sympathy – and linked to a presumed, inherent inability to cope with social, political and economic upheaval – addicted women are deemed to have consciously abandoned their femininity, their families, and their nation. These ideologies deeply affect the experiences of addicted people. In particular, women’s addiction is severely stigmatized, and they are extremely reluctant to “confess” and seek treatment. Based upon 14 months of ethnographic fieldwork, this thesis explores the gendered conceptualizations of ‘moral’ and ‘immoral’ that are being formulated with respect to drinking and addiction, and how these concepts inform the variety of addiction treatments that are available. In so doing, this analysis illuminates what is at stake for both the stigmatizers and stigmatized, and more specifically, the multiple ways that gender, drinking, and addiction have become implicated in constructions of the Ukrainian nation and state.
Development and Applications of 3D-DIVIMP(HC) Monte Carlo Impurity Modeling Code
Keywords: Nuclear Fusion
Boundary Physics
Plasma
Tokamaks

A self-contained gas injection system for the Divertor Material Evaluation System (DiMES) on DIII-D, the Porous Plug Injector (PPI), has been employed by A. McLean for in-situ study of chemical erosion in the tokamak divertor environment by injection of CH4. The principal contribution of the present thesis is a new interpretive code, 3D-DIVIMP(HC), which has been developed and successfully applied to the interpretation of the CH, C I, and C II emissions measured during the PPI experiments. The two principal types of experimental data which are compared here with 3D-DIVIMP(HC) code modeling are (a) absolute emissivities measured with a high resolution spectrometer, and (b) 2D filtered camera (TV) pictures taken from a view essentially straight down on the PPI. Incorporating the Janev-Reiter database for the breakup reactions of methane molecules in a plasma, 3D-DIVIMP(HC) is able to replicate these measurements to within the combined experimental and database uncertainties. It is therefore concluded that the basic elements of the physics and chemistry controlling the breakup of methane entering an attached divertor plasma have been identified and are incorporated in 3D-DIVIMP(HC).
Tracial State Spaces of Higher Stable Rank Simple C*-algebras
Keywords: Simple C*-algebras
Stable rank
Tracial state spaces

Ten years ago, J. Villadsen constructed the first examples of simple C*-algebras with stable rank other than one or infinity. Villadsen's examples all had a unique tracial state. It is natural to ask whether examples can be found of simple C*-algebras with higher stable rank and more than one tracial state; by building on Villadsen's construction, we describe such examples that admit arbitrary tracial state spaces.
The Beestons and the Art of Theatrical Management in Seventeenth-century London
Keywords: early modern English drama
theatre management
theatre history
business history
London history
patronage
Shakespeare

This dissertation examines three generations of the Beeston family and its revolutionary impact on the developing world of seventeenth-century London theatre management. Like other early modern businesses, the Beeston enterprise thrived on commercial innovation, the strategic cultivation of patronage, and a capacity to perpetuate itself dynastically. England’s mid-century political crisis disrupted the family’s commercial supremacy but its management system would endure as the de facto standard structuring successful theatre business long after the Restoration. Following a critical introduction to the early history of theatrical management, the thesis’s four chapters chart the creation and institution of the Beeston management model. Chapter One examines the early career of Christopher Beeston, a minor stageplayer from Shakespeare’s company in the 1590s who set out ambitiously to reshape theatrical management at Drury Lane’s Cockpit playhouse in 1616. Chapter Two analyzes Beeston’s later career, particularly his unique appointment as “Governor” of a new royal company in 1637. New evidence suggests that the office was a reward for service to the aristocratic Herbert family and that traditional preferment was therefore as important as market competition to the creation of the Caroline paradigm of autocratic theatrical “governance.” Chapter Three explores the overlooked career of Elizabeth Beeston who, upon inheriting the Cockpit in 1638, became the first woman in English history to manage a purpose-built London theatre. New evidence concerning her subsequent husband, Sir Lewis Kirke, an adventurer to Canada, ship-money captain, and Royalist military governor, indicates political ideology motivated their joint effort to keep the Beeston playhouse open during the civil wars. Chapter Four addresses the question of why the larger Beeston enterprise eventually collapsed even as the management system it refined continued to support later theatrical entrepreneurs. During the Interregnum, contemporaries anticipated that William and George Beeston, Christopher’s son and grandson, would eventually dominate a renascent London stage; however, managers such as William Davenant and Thomas Betterton ultimately adapted the Beeston system more efficiently to the political environment after 1660. Thereafter, exhausted patronage, lost assets, and the abandonment of family tradition marked the end of the Beestons’ influential association with the London stage.
Microrobotic Manipulation and Characterization of Biological Cells
Keywords: automation
microrobotics
cell manipulation
microinjection
zebrafish embryo
mouse embryo/oocyte
mitochondrial protein
molecule testing
cellular force measurement
oocyte quality assessment

Mechanical manipulation and characterization of biological cells have wide applications in genetics, reproductive biology, and cell mechanics. This research focuses on (1) the development of enabling microrobotic systems and techniques for automated cell microinjection and in situ mechanical characterization; and (2) the demonstration of molecule efficacy testing and cell quality assessment with the new technologies. Targeting high-speed cell injection for molecule screening, a first-of-its-kind automated microrobotic cell injection system is developed for injecting foreign materials (e.g., DNA, morpholinos, and proteins) into zebrafish embryos (~1.2 millimeter) and mouse oocytes/embryos (~100 micrometers), which overcomes the problems inherent in manual operation, such as long learning curves, human fatigue, and large variations in success rates due to poor reproducibility. Novel cell holding devices are developed for immobilizing a large number of embryos into a regular pattern, greatly facilitating sample preparation and increasing the sample preparation speed. Leveraging motion control and computer vision techniques, the microrobotic system is capable of performing robust cell injection at a high speed with high survival, success, and phenotypic rates. The mouse embryo injection system is applied to molecule testing of recombinant mitochondrial proteins. The efficacy of an anti-apoptotic Bcl-xL (Delta_TM) protein is, for the first time, quantitatively evaluated for enhancing the development competence of mouse embryos. For cell quality assessment, this research develops a vision-based technique for real-time cellular force measurement and in situ mechanical characterization of individual cells during microinjection. A microfabricated elastic device and a sub-pixel computer vision tracking algorithm together resolve cellular forces at the nanonewton level. Experimental results on young and old mouse oocytes demonstrate that the in situ obtained force-deformation data can be used for mechanically distinguishing healthy mouse oocytes from those with cellular dysfunctions. This work represents the first study that quantified the mechanical difference between young and old mouse oocytes, promising a practical way for oocyte quality assessment during microinjection.
Three Essays in Empirical Studies on Derivatives
Keywords: credit default swaps
systematic risk

This thesis is a collection of three essays in empirical studies on derivatives. In the first chapter, I investigate whether credit default swap spreads are affected by how the total risk is decomposed into the systematic risk and the idiosyncratic risk for a given level of the total risk. The risk composition is measured by the systematic risk proportion, defined as the proportion of the systematic variance in the total variance. I find that a firm’s systematic risk proportion has a negative and significant effect on its CDS spreads. Moreover, this empirical finding is robust to various alternative specifications and estimations. Therefore, the composition of the total risk is an important determinant of CDS spreads. In the second chapter, I estimate the illiquidity premium in the CDS spreads based on Jarrow’s illiquidity-modified Merton model using the transformed-data maximum likelihood estimation method. I find that the average model implied CDS illiquidity premium is about 15 basis points, accounting for 12% of the average level of the CDS spread. I further investigate how this parameter is affected by CDS liquidity measures such as the percentage bid-ask spread and the number of daily CDS spreads available in one month. I find that both liquidity measures are significant determinants of the model implied CDS illiquidity premium. In terms of relative importance, the bid-ask spread is more important than the number of daily CDS spreads statistically and economically. In the third chapter, I investigate the impact of the systematic risk on the volatility spread, i.e, the difference between the risk-neutral volatility and the physical volatility. I find that the systematic risk proportion of an underlying asset has a positive and significant impact on its volatility spread. The risk-neutral volatility in this study is measured with the increasingly popular approach known as the model-free risk-neutral volatility. The surprising positive systematic risk effect was first documented in Duan and Wei (2009) using the Black-Scholes implied volatility. I show that this effect is actually more prominent using the clearly better model-free risk-neutral volatility measure.
Disclosure, Analyst Forecast Bias, and the Cost of Equity Capital
Keywords: cost of capital
analyst forecasts
disclosure
cost of equity capital

This dissertation investigates the relation between firm disclosure, analyst forecast bias, and the cost of equity capital (COEC). Since analyst forecast bias is associated with both implied COEC estimates and disclosure, it is important to control for or remove it from COEC estimates when estimating the relation between disclosure and ex ante expected returns. I begin my analysis by predicting and removing systematic ex ante bias from analyst forecasts to produce de-biased analyst forecasts that better proxy for the market’s ex ante earnings expectations. I use these de-biased analyst forecasts to produce estimates of ex ante expected returns, both at the portfolio- and the firm-level. In addition, I develop a novel estimate of ex ante expected returns by applying Vuolteenaho’s (2002) return decomposition framework to ex post realized returns and accounting data. Finally, using several techniques to control for analyst forecast bias and self-selection bias, I find theoretically consistent evidence of a negative association between regular disclosure and ex ante expected returns. I predict and show that inferences can change when analyst forecast bias is controlled for.
Characterization and Utilization of Cement Kiln Dusts (CKDs) as Partial Replacements of Portland Cement
Keywords: cement kiln dust
ckd
hydration
durability
composition
expansion
sulfate
cement

The characteristics of cement kiln dusts (CKDs) and their effects as partial replacement of Portland Cement (PC) were studied in this research program. The materials used in this study were two different types of PC (normal and moderate sulfate resistant) and seven CKDs. The CKDs used in this study were selected to provide a representation of those available in North America from the three major types of cement manufacturing processes: wet, long-dry, and preheater/precalciner. Two fillers (limestone powder and quartz powder) were also used to compare their effects to that of CKDs at an equivalent replacement of PC. It was found that CKDs can contain significant amounts of amorphous material (>30%) and clinker compounds (>20%) and small amounts of slag and/or flyash (<5%) and calcium langbeinite (<5%). The study found that CKDs from preheater/precalciner kilns have different effects on workability and heat evolution than CKDs from wet and long-dry kilns due to the presence of very reactive and high free lime contents (>20%). The blends with the two CKDs from preheater/precalciner plants had higher paste water demand, lower mortar flows, and higher heat generation during initial hydrolysis in comparison to all other CKD-PC blends and control cements. The hardened properties of CKD as a partial substitute of PC appear to be governed by the sulfate content of the CKD-PC blend (the form of the CKD sulfate is not significant). According to analysis of the ASTM expansion in limewater test results, the CKD-PC blend sulfate content should be less than ~0.40% above the optimum sulfate content of the PC. It was also found that the sulfate contribution of CKD behaves similar to gypsum. Therefore, CKD-PC blends could be optimized for sulfate content by using CKD as a partial substitute of gypsum during the grinding process to control the early hydration of C3A. The wet and long-dry kiln CKDs contain significant amounts of calcium carbonate (>20%) which could also be used as partial replacement of limestone filler in PC.
Investor Attention, Earnings Management and Stock Mispricing
Keywords: investor attention
earnings management
stock mispricing

This thesis first examines the determinants of earnings management in an international setting using the Limited Investor Attention Model of Hirshleifer and Teoh (2003). The model predicts that investor attention reduces earnings management. I have four key findings. First, I document that financial analysts curb adjusted absolute abnormal accruals and absolute performance-matched abnormal accruals in global firms. Second, I document that institutional block-holdings curb adjusted absolute abnormal accruals across the world. Third, I document that analyst following is related to more reduction in earnings management in common law countries than in code-law countries. Fourth, I find that institutional block-holders are more effective monitors in common law countries than in code law countries. This thesis also examines the relation between investor attention and stock mispricing of abnormal accruals in an international setting using the Limited Investor Attention Model of Hirshleifer and Teoh (2003). Consistent with the model’s hypothesis that investor attention reduces stock mispricing, I document three key findings. First, I find a significant and negative correlation between stock mispricing and analyst following in global firms. Second, stock mispricing is negatively correlated with institutional ownership in U.S. firms. Stock mispricing is not significantly correlated with institutional block-holdings in global firms. Third, stock mispricing per dollar of abnormal accrual is decreasing in analyst following for sufficiently large abnormal accruals in U.S. and global firms.
Optical and Material Properties of Colloidal Semiconductor Nanocrystals
Keywords: semiconductor
nanocrystal
colloid
ultrafast
phonon
transient grating
polarization
CdSe
Bulk
EuS
third order
fifth order
elasticity
surface stress
anisotropy
fine structure
exciton
biexciton

This thesis presents an exploration of the photophysics of colloidal semiconductor nanocrystals using both linear and non-linear optical measurement techniques. These optical methodologies are used to follow population dynamics in both singly and multiply excited nanocrystal systems as well as determine material properties of the ensemble. Topics covered in the thesis include, the identification and characterization of bulk-like nanocrystals, study of the fine structure states of the lowest energy exciton, single and multiexciton population dynamics, acoustic phonon modes, elasticity and surface stress properties of a colloidal ensemble in solution.Through linear spectroscopy, the properties of both quantum confined and bulk-like colloidal semiconductor nanocrystals are compared. The identification of a model system of bulk-like nanocrystals with a non-standard absorption profile serves to resolve an ambiguity in literature concerning their characterization. The remainder of the thesis is focused on the size-dependent properties of quantum confined CdSe colloidal nanocrystals. The population dynamics and material properties of these systems are studied using a nonlinear optical technique called transient grating. A third order transient grating measurement with a cross-polarized configuration, which follows the relaxation within the fine structure levels of the lowest energy exciton state, is demonstrated and used to compare systems with different crystal field splittings. Transient grating experiments performed with specific polarization sequences allow for selective observation of the dynamics amongst nearly degenerate levels at room temperature. Cross-polarized transient grating is also used to observe a quantized acoustic phonon mode in a series of nanocrystal samples. The observation of this mode allows experimental determination of the elasticity and surface stress of the nanocrystal ensemble in solution. The anisotropic origin of the acoustic phonon is discussed using a combination of theoretical analysis, modelling and experimental data. In addition, third- and fifth-order transient grating experiments are used to study exciton and multiexciton population relaxation dynamics. The work presented here spans the optical and material properties of quantum confined and `bulk' nanocrystals. This thesis attempts to illustrate the broad scope of the observed behaviour of colloidal nanocrystal systems and to contribute to a greater understanding of their physical properties.
Cumulative Distribution Networks: Inference, Estimation and Applications of Graphical Models for Cumulative Distribution Functions
Keywords: Graphical models
Cumulative distribution function
Inference
Message-passing
Learning to rank
Information retrieval
Computational biology
Bioinformatics
Genomics
Extreme value distribution
microRNA
Gene regulation
Copula

This thesis presents a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks (CDNs). Unlike graphical models for probability density and mass functions, in a CDN, the marginal probabilities for any subset of variables are obtained by computing limits of functions in the model. We will show that the conditional independence properties in a CDN are distinct from the conditional independence properties of directed, undirected and factor graph models, but include the conditional independence properties of bidirected graphical models. As a result, CDNs are a parameterization for bidirected models that allows us to represent complex statistical dependence relationships between observable variables. We will provide a method for constructing a factor graph model with additional latent variables for which graph separation of variables in the corresponding CDN implies conditional independence of the separated variables in both the CDN and in the factor graph with the latent variables marginalized out. This will then allow us to construct multivariate extreme value distributions for which both a CDN and a corresponding factor graph representation exist. In order to perform inference in such graphs, we describe the `derivative-sum-product' (DSP) message-passing algorithm where messages correspond to derivatives of the joint cumulative distribution function. We will then apply CDNs to the problem of learning to rank, or estimating parametric models for ranking, where CDNs provide a natural means with which to model multivariate probabilities over ordinal variables such as pairwise preferences. We will show that many previous probability models for rank data, such as the Bradley-Terry and Plackett-Luce models, can be viewed as particular types of CDN. Applications of CDNs will be described for the problems of ranking players in multiplayer team-based games, document retrieval and discovering regulatory sequences in computational biology using the above methods for inference and estimation of CDNs.
Smooth-morphology Ultrasensitive Solution-processed Photoconductors
Keywords: Quantum Dots
Photoconductor

Solution-processed optoelectronic materials offer a route to low cost photodetectors, large area solar cells, and integrated optical sources. While significant progress has been reported in organic and polymer spin-cast optoelectronics, colloidal quantum dots offer a distinct further advantage -- the convenient tuning of absorption onset via the quantum size effect. Electronic transport has recently been enhanced in size effect tuned colloidal quantum dot films using ligand exchange, resulting in ultrasensitive photodetectors in both visible and infrared wavelengths. Solid-film ligand exchange, however, generally results in rough film morphologies that are incompatible with high uniformity image sensors. Here, we report a new route to visible-wavelength spin-cast lead sulfide (PbS) nanocrystal photoconductive photodetectors with a sub 1% roughness, compared to the ~10% roughness obtained using previously reported approaches. The new procedure yields devices that exhibit 10 A/W responsivities and reveals an added significant advantage: when illumination conditions change, the photodetectors respond with a single time constant of 20 ms. This compares very favorably to the multi second and multi-time-constant response of previously reported PbS-nanocrystal photoconductive photodetectors.