Irish born British composer, teacher, conductor, and organist Sir Charles Villiers Stanford (1852-1924), is today best known for his choral works and as teacher to some of Britain's most successful composers of the twentieth century. Stanford was a prolific composer of numerous genres of music, and his chamber works for strings comprise a significant portion of his total compositional output. A great many of Stanford's chamber compositions were never published and are absent among today's standard chamber music repertoire. Until now, Stanford's String Quartet No. 4 in G minor, Op. 99 has never been published. This project comprises the first published edition of the String Quartet No. 4, making the work more readily available to performers and scholars. The String Quartet No. 4 is the last of Stanford's string quartets to be published, and this project makes the publication of his works in this genre complete. The author hopes that this project will help generate interest in Stanford as an important figure in British music history and bring his works to a greater public awareness through performance and study.

Avoidable use of the Emergency Departments (EDs) constitutes a significant public health problem, which has health, economic and ethical implications. The factors that affect avoidable use of the EDs are complex and poorly understood. The goal of this dissertation was to examine the role of medical home in avoidable pediatric ED visits, assess the impact of Medicaid policy on ED visits for dental problems and assess the factors affecting follow-up dental care after a dental ED visit. Iowa Household Health Survey data was used for the first study, which included a sample of families with at least one child residing in Iowa. It was found that 68% of parents who took their child to an ED in the previous year thought the ED visit could have been avoided if primary care was available to them. Having a medical home was not found to be associated with pediatric ED visits; however, food insecurity was significantly associated. Parents of children with public insurance, those who were not referred by a healthcare provider and those who reported difficulty in getting routine care appointments were more likely to report an avoidable ED visit by their child. The second study examined a policy change in California where Medicaid eliminated its comprehensive adult dental coverage on July 1, 2009. State Emergency Department Database were obtained from Agency for Healthcare Research and Quality for California for 2006 through 2011. Interrupted time series, a quasi-experimental approach of was used to examine the impact of the policy change on rate of dental ED visits by Medicaid enrolled adults. Segmented linear regression revealed that policy change led to an immediate significant increase in the rate of dental ED visits. The policy had a differential impact on various subgroups based on age, race-ethnicity and residential location. The annual costs associated with dental ED visits made by Medicaid adults also increase 68%. Survival analytic approach was used in the final study to examine the patterns of dental care following a dental ED visit by Medicaid enrolled adults in Iowa. Medicaid claims and enrollment data were used to identify adults with an index dental ED visit in 2011, and then each subject was followed for up to 6 months. About 52% of all adults who satisfied the study inclusion criteria, had a follow up dental visit within 6 months of the index dental ED visit. Cox regression model revealed that adults who had visited a dentist in the year prior to the ED visit had greater hazards of having an early dental follow up after the ED visit. Having repeated dental ED visits was found to have a dose-response relationship to follow-up time to dentist visit, with those having 1 repeat ED visit having 53% hazards and those with 2 or more repeat ED visits having 34% hazards of having a follow-up dentist visit, compared to those with no repeat ED visits. Collectively, the results from this dissertation provide important insights in understanding the complex problem of avoidable ED visits. Factors such as food insecurity and medical home need to be further investigated in their association with avoidable ED visits. State Medicaid policy plays an important role and limiting Medicaid adult dental coverage may lead to an increased reliance of the affected population on EDs for dental care. However, EDs do not provide any definitive dental care, and our results indicate that almost half of the adults with dental ED visit do not have a follow-up dentist visit in the next 6 months.

Objective: The goal of the present study was to investigate the effect of chairside surface treatments on biaxial flexural strength and subsurface damage of monolithic zirconia ceramics. Methods: Specimens (15x15x1.2 mm3) were prepared by sectioning from commercially available zirconia blanks (BruxZirTM) and sintering according to manufacturer's recommendations. Fully dense specimens were randomly divided into five groups (n=30) and treated as follows; 1) as-sintered (AS) 2) air abraded with 50 μm alumina fine particles (AAF), 3) air abraded with 250 μm coarse alumina particles (AAC), 4) ground (G), and 5) ground and polished (GP) to mimic chairside and dental laboratory treatments. Microstructural changes were thoroughly characterized by optical and scanning electron microscopy, surface profilometry and atomic force microscopy. Crystalline phases and their depth profile were investigated by x-ray diffraction (XRD) and grazing incidence x-ray diffraction (GIXRD). Results were analyzed by Kruskal-Wallis test and Tukey's adjustment for multiple comparisons. A 0.05 level of significance was used. Reliability was evaluated by Weibull analysis. Results: All treatment groups exhibited a significant difference in mean surface roughness (Rq) compared to the as-sintered group (p<0.05). The AAC group showed the highest surface roughness at 1.08 ± 0.17 μm, followed by the G, AAF and AS groups. The GP group exhibited the lowest surface roughness. The group air abraded with fine particles showed the highest mean biaxial flexural strength (1662.62 ± 202.58 MPa), but was not different from the ground and polished group (1567.19 ± 209.76 MPa). The groups air abraded with coarse particles or ground with diamond bur exhibited comparable mean biaxial flexural strength at 1371.37 ±147.62 MPa and 1356.98 ±196.77 MPa, respectively. The as-sintered group had the lowest mean biaxial flexural strength at 1202.29 ±141.92 MPa. The depth of compressive stress layer, measured by GIXRD was approximately 50 μm in the AAF group, followed by the AAC group with ~35 μm, ~10 μm for the ground group and ~5 μm for the ground and polished group. Deep subsurface cracks were observed in the AAC group (~80 μm in depth) and G group (~25 μm in depth), whereas shallower flaws were present in the AAF and GP groups at 10 and 3 μm, respectively. Weibull analysis represented a greater reliability in zirconia specimens treated with air abrasion groups. Conclusions: Surface treatments induced the t-m transformation in 3Y-TZP and associated development of compressive stresses to a depth that varied with the severity of the treatment performed. GIXRD revealed that AAF led to the thickest compressive stress layer, followed by AAC, G and GP. SEM revealed that subsurface damage was most severe with AAC, followed by G, AAF and GP. We propose that the flexural strength results can be explained by the difference between the depth of the compressive stress layer induced by the transformation and the depth of the subsurface flaws.

This study examined whether first-generation South Asian American college students are different from continuing-generation South Asian American college students in their college adjustment, as measured by the Student Adaptation to College Questionnaire and their psychological well-being (PWB), as measured by the Scales of Psychological Well-Being (SPWB). The Asian population is one of the fastest growing minority groups in the United States. Despite being the third largest Asian subgroup, South Asians continue to be underrepresented within the educational and psychological literature. A review of studies shows that compared to continuing-generation college students (CGCS), first-generation college students (FGCS) are disadvantaged in terms of their demographic characteristics, pre-college preparation, knowledge about higher education, non-cognitive variables (e.g., self-esteem), and adjustment to college. Additionally, existing research shows that FGCS experience higher levels of psychological distress and lower levels of PWB. This study found that FGCS were significantly more likely to live and work off campus, have lower household incomes, and spend fewer hours per week participating in co-curricular activities than their CGCS peers. Furthermore, FGCS had lower levels of social and academic adjustment compared to their counterparts. Finally, while FGCS had lower mean scores on the SPWB than their peers, only the scores on the Personal Growth subscale were significantly different. Understanding and contextualizing the experiences of racial/ethnic minority students who are first in their family to pursue higher education will help educators and psychologists to identify, develop, and implement culturally appropriate instructional strategies, programs, services, and treatments. Consequently, this would help nontraditional youth transition successfully into college and thrive psychologically.

The characterization of the normal pulmonary acinus is a necessary first step in understanding the nature of respiratory physiology and in assessing the etiology of pulmonary pathology. Murine models play a vital role in the advancement of current understanding of the dynamics of gas exchange, particle deposition and the manifestations of diseases such as COPD, Cystic Fibrosis and Asthma. With the advent of interior tomography techniques, high-resolution micro computed tomography (μCT) systems provide the ability to nondestructively assess the pulmonary acinus at micron and sub-micron resolutions. With the application of Systematic Uniform Random Sampling (SURS) principles applied to in-situ fixed, intact, ex-vivo lungs, we seek to characterize the structure of pulmonary acini in mice and study the variations across dimensions of age, location within the lung and strain phenotypes. Lungs from mice of three common research strains were perfusion fixed in-situ, and imaged using a multi-resolution μCT system (Micro XCT 400, Zeiss Inc.). Using lower resolution whole lung images, SURS methods were used for identification of region-specific acini for high-resolution imaging. Acinar morphometric metrics included diameters, lengths and branching angles for each alveolar duct and total path lengths from entrance of the acinus to the terminal alveolar sacs. In addition, other metrics such as acinar volume, alveolar surface area and surface area/volume ratios were assessed. A generation-based analysis demonstrated significant differences in acinar morphometry across young and old age groups and across the three strains. The method was successfully adapted to large animals and the data from one porcine specimen has been presented. The registration framework provides a direct technique to assess acinar deformations and provides critical physiological information about the state of alveolar ducts and individual alveoli at different phases of respiration. The techniques presented here allow us to perform direct assessment of the three-dimensional structure of the pulmonary acinus in previously unavailable detail and present a unique technique for comprehensive quantitative analysis. The acinar morphometric parameters will help develop improved mathematical and near-anatomical models that can accurately represent the geometric structure of acini, leading to improved assessment of flow dynamics in the normal lung.

Andy Warhol's Exploding Plastic Inevitable (EPI) was a drug-fueled rock concert-cum-multimedia art event where layers of mediation mixed with immediate experience: The Velvet Underground performed their innovative music in front of films of themselves performing, Factory Superstars danced and performed poetry, various Warhol films projected on the walls, flashing lights flickered on mirrored surfaces, and a crowd of spectators – both famous and unknown – packed in to see and be seen, to dance and trip into the early hours of the morning. The experience of the EPI was a potent combination of alienation, mediation, and commercialization. The EPI was a promotional vehicle for Warhol, Warhol's Factory crew, and the Velvet Underground, but is also a complex example of spectacle that has been under-analyzed in recent scholarship. The EPI's unabashed emphasis on marketing, packaging, consumer goods, and empty celebrity are all manifestations of fears of late capitalist excess, but beneath the veneer of vapidity was an undercurrent of counterculture political activism and social awareness. Original contributions include cultural analysis, interpretation of contemporary reviews and reports, examination of the event's lack of art historical presence, and incorporation of music scholarship into the Warhol historical canon.

Key theoretical and empirical results from the past two decades have established that peak discharges exhibit power-law, or scaling, relation with drainage area across multiple scales of time and space. This relationship takes the form Q(A)= $#945;AΘ where Q is peak discharge, A is the drainage area, Θ is the flood scaling exponent, and α is the intercept. Motivated by seminal empirical studies that show that the flood scaling parameters α and Θ change from one rainfall-runoff event to another, this dissertation explores how certain rainfall and catchment physical properties control the flood scaling exponent and intercept at the rainfall-runoff event scale using a combination of extensive numerical simulation experiments and analysis of observational data from the Iowa River basin, Iowa. Results show that Θ generally decreases with increasing values of rainfall intensity, runoff coefficient, and hillslope overland flow velocity, whereas its value generally increases with increasing rainfall duration. Moreover, while the flood scaling intercept is primarily controlled by the excess rainfall intensity, it increases with increasing runoff coefficient and hillslope overland flow velocity. Results also show that the temporal intermittency structure of rainfall has a significant effect on the scaling structure of peak discharges. These results highlight the fact that the flood scaling parameters are able to be estimated from the aforementioned catchment rainfall and physical variables, which can be measured either directly or indirectly using in situ or remote sensing techniques. The dissertation also proposes and demonstrates a new flood forecasting framework that is based on the scaling theory of floods. The results of the study mark a step forward to provide a physically meaningful framework for regionalization of flood frequencies and hence to solve the long standing hydrologic problem of flood prediction in ungauged basins.

Investigating flow and turbulence structure around a barrier mounted on the ground or placed in its vicinity is a fundamental problem in wind engineering because of many practical applications related to protection against adverse effects induced by major wind storms (e.g., hurricanes) and snow events (e.g., snow fences used to reduce adverse effects of snow drifting on the roads). In this work the focus is on the case when the obstacle/barrier is porous and the shape of the obstacle is close to a high-aspect-ratio rectangular cylinder situated in the vicinity of the ground. The study employs a range of numerical and experimental techniques to achieve this goal that include 3D LES and 2D RANS numerical simulations, and RTK survey and 3D photogrammetry techniques to measure ground elevations and snow deposits in the field. In the first part of the study, high-resolution large eddy simulations are used to understand the fundamental flow physics of flow past 2D solid and porous vertical plates with a special focus on describing the unsteady wind loads on the obstacle, vortical structure of the turbulent wake, spectral content of the wake, the separated shear layers and of the characteristics of the large-scale vortex shedding behind the plate, if present. Results show that LES can accurately predict mean flow and turbulence statistics around solid/porous cylinders. Then, a detailed parametric study of flow past vertical solid and porous plates situated in the vicinity of a horizontal bed is performed for the purpose of understanding changes in the mean flow structure, turbulence statistics and dynamics of large scale coherent structures as a function of the main nondimensional geometrical parameters (bottom gap for solid and porous plates, and porosity and average hole size of porous plates) and flow variables (e.g., bed roughness) that affect the wake flow. In particular, the LES flow fields allowed clarifying how the interactions between the bottom and the top separated shear layers change with increasing bottom gap and what is the effect of the bleeding flow on the interactions between the separated shear layers that determine the coherence of the large-scale eddies at large distances from the wake. In the second part of the thesis, a novel methodology based on field monitoring of the snow deposits and RANS numerical simulations is proposed to improve the design of snow fences and in particular the design of lightweight plastic snow fences that are commonly used to protect roads in the US Midwest against the snow drifting. The goal of the design optimization procedure is to propose a snow fence design that can retain a considerable amount of snow within a shorter downwind distance compared to fences of standard design. A major contribution of the present thesis was the development of a novel non-intrusive image-based technique that can be used to quantitatively estimate the temporal evolution of the volume of snow trapped by a fence over long periods of time. This technique is based on 3-D close range photogrammetry. Results showed that this technique can produce estimations of the snow deposits of comparable accuracy to that given by commonly used methods. This is the first application of this type of techniques to measurements of the snow deposits.

The primary objective of this study is to develop new computational methods for robust design optimization (RDO) and reliability-based design optimization (RBDO) of high-dimensional, complex engineering systems. Four major research directions, all anchored in polynomial dimensional decomposition (PDD), have been defined to meet the objective. They involve: (1) development of new sensitivity analysis methods for RDO and RBDO; (2) development of novel optimization methods for solving RDO problems; (3) development of novel optimization methods for solving RBDO problems; and (4) development of a novel scheme and formulation to solve stochastic design optimization problems with both distributional and structural design parameters. The major achievements are as follows. Firstly, three new computational methods were developed for calculating design sensitivities of statistical moments and reliability of high-dimensional complex systems subject to random inputs. The first method represents a novel integration of PDD of a multivariate stochastic response function and score functions, leading to analytical expressions of design sensitivities of the first two moments. The second and third methods, relevant to probability distribution or reliability analysis, exploit two distinct combinations built on PDD: the PDD-SPA method, entailing the saddlepoint approximation (SPA) and score functions; and the PDD-MCS method, utilizing the embedded Monte Carlo simulation (MCS) of the PDD approximation and score functions. For all three methods developed, both the statistical moments or failure probabilities and their design sensitivities are both determined concurrently from a single stochastic analysis or simulation. Secondly, four new methods were developed for RDO of complex engineering systems. The methods involve PDD of a high-dimensional stochastic response for statistical moment analysis, a novel integration of PDD and score functions for calculating the second-moment sensitivities with respect to the design variables, and standard gradient-based optimization algorithms. The methods, depending on how statistical moment and sensitivity analyses are dovetailed with an optimization algorithm, encompass direct, single-step, sequential, and multi-point single-step design processes. Thirdly, two new methods were developed for RBDO of complex engineering systems. The methods involve an adaptive-sparse polynomial dimensional decomposition (AS-PDD) of a high-dimensional stochastic response for reliability analysis, a novel integration of AS-PDD and score functions for calculating the sensitivities of the failure probability with respect to design variables, and standard gradient-based optimization algorithms, resulting in a multi-point, single-step design process. The two methods, depending on how the failure probability and its design sensitivities are evaluated, exploit two distinct combinations built on AS-PDD: the AS-PDD-SPA method, entailing SPA and score functions; and the AS-PDD-MCS method, utilizing the embedded MCS of the AS-PDD approximation and score functions. In addition, a new method, named as the augmented PDD method, was developed for RDO and RBDO subject to mixed design variables, comprising both distributional and structural design variables. The method comprises a new augmented PDD of a high-dimensional stochastic response for statistical moment and reliability analyses; an integration of the augmented PDD, score functions, and finite-difference approximation for calculating the sensitivities of the first two moments and the failure probability with respect to distributional and structural design variables; and standard gradient-based optimization algorithms, leading to a multi-point, single-step design process. The innovative formulations of statistical moment and reliability analysis, design sensitivity analysis, and optimization algorithms have achieved not only highly accurate but also computationally efficient design solutions. Therefore, these new methods are capable of performing industrial-scale design optimization with numerous design variables.