Thesis (MA (Psychology))--University of Stellenbosch, 2005. / The purpose of this study was to ascertain whether certain Ron Davis techniques which have been applied by the Davis Dyslexia Correction Center in America the past two decades could in the short term have a significantly positive influence on the reading ability and psychological functioning of children with a reading disorder, especially regarded against the background of escalating concern about the reading ability of South African learners in general and learners with a reading disorder in particular.

This dissertation provides the first in-depth examination of American artist Stuart Davis’s early theoretical writings made between 1918 and 1923. These writings are seminal documents in his artistic development. They lay the foundation for the creation of some of his most important works, inlcuding his groundbreaking Tobacco paintings of 1921 to his renowned Egg Beater series of 1927–1928, which Davis claimed set the direction for all his subsequent artistic output. One of the key ideas in these early writings is Davis’s concept of realism. This study traces the origin of Davis’s realism to his interaction with a network of ideas arising from cubism, symbolism, New York dada, and anarchist philosophy. In doing so, this study considers how Davis’s notion of realism informed both the development of his style and his iconography in his works of the 1920s.

A Magnet-recognized academic hospital system experienced an increase in patient falls and patient falls with injury after transitioning to a new electronic health record. The purpose of the project was to evaluate the effectiveness of a system-wide quality improvement practice change. The practice-focused question addressed a Magnet model implementation of a standardized, system-wide, evidence-based Hester Davis Scale (HDS) fall risk assessment and intervention tool and the impact on the nursing-sensitive indicators of patient fall rates and fall rates with injury. Successful implementation and sustained, correct use of the HDS fall risk assessment and targeted fall-prevention-intervention tools added to the evidence of multifactorial fall-intervention-prevention strategies designed to reduce patient falls and patient injury associated with falls. Two models were used to inform the project: the American Nurses Credentialing Center next-generation Magnet model and the Institute for Healthcare Improvement framework for spread. The primary source of evidence was the National Database of Nursing Quality Indicators. A run chart approach to process improvement was determined to be the best method to assess the effectiveness of the HDS Falls Prevention Program for 28 months post implementation. The run chart for patient fall rates and fall with injury rates demonstrated a reduction in falls and sustained improvement over 28 months. The decreases in falls and fall with injury rates of this project have implications for positive social change. Magnet recognition supports the implementation of the evidence-based HDS Fall Reduction Program, thereby improving the quality of life for patients and families and reducing the burden and cost of health care associated with falls.

Twentieth Century Americans witnessed the construction of numerous massive dams that controlled the flow of rivers across the country. Many of these dams were built by the U.S. Army Corps of Engineers to improve navigation and to provide inexpensive electricity and flood control. This paper will seek to shed light on Georgia’s current water crisis by analyzing the initial purposes behind the building of Buford Dam in North Georgia, investigating how water supply issues were addressed in the first half of the twentieth century, and exploring how expectations of the Chattahoochee River changed over time due in part to metropolitan Atlanta’s population growth. This paper will show that Atlanta area leaders secured appropriations for Buford Dam primarily to obtain a reliable water supply and additional electricity for their burgeoning community.

This research uses the recent development of bus rapid transit (BRT) on Cleveland, Ohio’s Euclid Avenue corridor as a case-study to explore the links between public transit, public space, and urban planning. Using Fredric Jameson’s (1981) method of textual analysis from The Political Unconscious, I explore the ways the BRT provides access to a buried class consciousness in the city as well as a “symbolic resolution” between conflicting agendas of development and equity. Contextualizing the new spaces of the BRT using a synthesis of Jameson’s (1984) theorization of postmodernism, Mike Davis’ (1990) militarization of public space, and Michel de Certeau’s (1984) spatial practices, I discuss the ways these spaces are remade by individual users as a vital public space despite the BRT’s embedded market ideology and repressive security apparatus. Additionally, I explore what BRT’s ‘ideology of form’ can tell us about the ideology of the dominant paradigm of planning today, New Urbanism, and use it as departure for a closing discussion of Utopian desires in planning. / text

Archaeogeophysics, the use of eophysical mapping techniques to recover archaeological information, is being used with increasing success in North America. Archaeologists can often use geophysics as a tool for collecting data suitable for direct archaeological interpretation (Kvamme 2003). In some cases, geophysics can be used to map entire archaeological landscapes providing an image of the site that is not easily achievable through the use of traditional archaeological excavations. This dissertation uses archaeogeophysical data from three prehistoric sites to gain insights into their layout and community organization as well as explore the possibilities and potentials of using broad scale geophysical surveys in North American archaeological research. / text

Thesis (Ph. D.)--University of California, Santa Cruz, 2001. / Typescript. Includes bibliographical references (leaves 190-199).

Thesis (Ph. D.)--University of Alabama at Birmingham, 2007. / Description based on contents viewed June 25, 2007; title from title screen. Includes bibliographical references (p. 142-148).

Spectral methods have become increasingly popular in designing fast algorithms for modern highdimensional datasets. This thesis looks at several problems in which spectral methods play a central role. In some cases, we also show that such procedures have essentially the best performance among all randomised polynomial time algorithms by exhibiting statistical and computational trade-offs in those problems. In the first chapter, we prove a useful variant of the well-known Davis{Kahan theorem, which is a spectral perturbation result that allows us to bound of the distance between population eigenspaces and their sample versions. We then propose a semi-definite programming algorithm for the sparse principal component analysis (PCA) problem, and analyse its theoretical performance using the perturbation bounds we derived earlier. It turns out that the parameter regime in which our estimator is consistent is strictly smaller than the consistency regime of a minimax optimal (yet computationally intractable) estimator. We show through reduction from a well-known hard problem in computational complexity theory that the difference in consistency regimes is unavoidable for any randomised polynomial time estimator, hence revealing subtle statistical and computational trade-offs in this problem. Such computational trade-offs also exist in the problem of restricted isometry certification. Certifiers for restricted isometry properties can be used to construct design matrices for sparse linear regression problems. Similar to the sparse PCA problem, we show that there is also an intrinsic gap between the class of matrices certifiable using unrestricted algorithms and using polynomial time algorithms. Finally, we consider the problem of high-dimensional changepoint estimation, where we estimate the time of change in the mean of a high-dimensional time series with piecewise constant mean structure. Motivated by real world applications, we assume that changes only occur in a sparse subset of all coordinates. We apply a variant of the semi-definite programming algorithm in sparse PCA to aggregate the signals across different coordinates in a near optimal way so as to estimate the changepoint location as accurately as possible. Our statistical procedure shows superior performance compared to existing methods in this problem.

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