This research explored psychological, social, and relational aspects of caregiving. It examined documented resolution of ethical dilemmas precipitated by veterans' medical crises and involved formal caregivers, informal caregivers, and veteran patients. The unit of analysis was caregiving relationships. The main research question asked, how does case documentation and documented processes of resolving ethical dilemmas in institutional healthcare for veterans reflect relational ethics? Relational ethics was defined as fairness of interpersonal give and take and included efforts to elicit, understand, and honor veteran's values and care preferences. The caregiving context was a Veterans Affairs Medical Center (VAMC). The research population was 25 male veterans whose cases required intervention by the VAMC ethics committee. The research was conducted in three phases using grounded theory methodology. The research purpose, guided by symbolic interaction theory, was to develop substantive theory in relational ethics. Study analyses used Atlas.ti qualitative software. Main study one, Veteran-Formal Caregiver Relations, focused on relational processes internal to the VAMC. It explored how members of professional healthcare disciplines documented ethical caregiving concerns amongst themselves and in interactions with veteran patients. Agency emerged as the core category. Agency meant that veteran patients could make choices and act on those choices in ways that impacted their care. When veterans' agency was compromised, formal caregivers' roles became more salient. The substantive theory was the dynamic process of clarifying agency. Main study two, Formal-Informal Caregiver Relations, focused on interactions between VAMC staff and veterans' significant others. It explored medical center staff communications with informal caregivers regarding veterans' health problems. Documented interactions confirmed the impact of relational ethics. Agendas and advocacy emerged as key categories that determined and respected veterans' relational autonomy. Relational autonomy validated other ethical concerns and resource demands, considered social context, and included obligations as well as entitlements. The substantive theory was the agenda to advocate for relational autonomy. Substantive theories from the two main studies were integrated. Categorical dimensions were combined into substantive theory; that doing the right thing in institutional caregiving for veterans was the dynamic process of clarifying agency with the agenda to advocate for relational autonomy. / Ph. D.

<p>Fuzzing, a technique for negative testing of programs using randomly mutated or gen?erated input data, is responsible for the discovery of thousands of bugs in software from web browsers to video players. Advances in fuzzing focus on various methods for enhancing the number of bugs found and reducing the time spent to find them by applying various static, dynamic, and symbolic binary analysis techniques. As a stochastic process, fuzzing is an inherently inefficient method for discovering bugs residing in deep logic of programs due to the compounding complexity of preconditions as paths in programs grow in length. We propose a novel system to overcome this limitation by abstracting away path-constraining preconditions from a statement level to a function level by identifying impeding functions, functions that inhibit control flow from proceeding. REFACE is an end-to-end system for enhancing the capabilities of an existing fuzzer by generating variant binaries that present an easier-to-fuzz interface and expands an ongoing fuzzing campaign with minimal offline overhead. REFACE operates entirely on binary programs, requiring no source code or sym?bols to run, and is fuzzer-agnostic. This enhancement represents a step forward in a new direction toward abstraction of code that has historically presented a significant barrier to fuzzing and aims to make incremental progress by way of several ancillary dataflow analysis techniques with potential wide applicability. We attain a significant improvement in speed of obtaining maximum coverage, re-discover one known bug, and discover one possible new bug in a binary program during evaluation against an un-modified state-of-the-art fuzzer with no augmentation.</p>

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<p> This thesis presents a virtual material testing laboratory that is highly generic and flexible in terms of both the material behaviour and experiments that it supports. Generic and flexible material behaviour was accomplished via symbolic computation, generative programming techniques and an abstraction layer that effectively hides the material model specific portions of the numerical algorithms. To specify a given member of the family of material models a domain specific language (DSL) was created. A compiler, which uses the Maple computer algebra system, transforms the DSL into an abstract material class. Three different numerical algorithms, including a return map algorithm, are presented in the thesis to illustrate the advantage of the abstract material model. To accomplish the goal of generic and flexible experiments the finite element method was employed and an API that supports both load and displacement controlled experiments, as well as the capability for the experiments to modify their state over time, was developed. The virtual laboratory provides a family of material models with the following behaviours: elastic, viscous, shear-thinning, shear-thickening, strain hardening, viscoelastic, viscoplastic and plastic. As well, the developed framework, by using the Ruby programming language, provides support for a wide variety of programmable experiments, including: uniaxial, biaxial, multiaxial extension and compression, shear and triaxial. </p> / Thesis / Candidate in Philosophy