This research is concerned with establishing a rationale which will link safe printmaking practices with artists' individual and sustainable creative practices, by investigating the preconception that printmaking practices may be limited by adopting such an environmentally sensitive approach. This has been investigated through a practice-led approach, which implicitly involves the researchers' professional practice as a visual artist printmaker. The cross disciplinary nature of this practice-led research has established that diverse and non-text based sources be included in the literature review. The resulting contextual review established the evolutionary nature of printmaking practices, the role played by individual artists perceptions of risk, and the limited ability of available literature to adequately link evolving and didactic creative practices to emergent boundaries established by environmental and occupational health and safety legislative criteria. There was evidently no theoretical framework for linking these apparently divergent criteria. The multi-disciplinary and practice-led context i. e. the research was generated by practice and carried out through practice, determined the range of methods employed: questionnaire, quantitative tests of materials; participation in, and initiation of collaborative case studies; documenting workshop practice and visual development of printed art works; and exhibition for peer review. These multiple methods and their complex interrelationships were visualised as a system of consequential actions, in order to externalise possible alternative actions and choices made by the researcher in response to this research. Analysis of these methods revealed that: the collaborative case studies and the researcher's own visual and practical response, established that a systematic revaluation of practice could link the idiosyncratic and individual creative practices to the use and selection of nonhazardous practices, which did respond to objective occupational health and safety rationale. This revealed the extent to which a systematic re-evaluation of 'established practices' may be synthesised into the working practice of the researcher and lead to the diversification of that practice - visually and practically. This process has resulted in the generation of a body of printed art works which implicitly embodied the hypothesis developed in this research; the development of a electronic database or 'morphological framework', which initiates a sequential examination of process at a structural level, collating, comparing and promoting previously un-considered alternatives based on a heterarchical model of risk. This process has offered tangible means of visualising the generative processes involved in making prints. The 'morphological framework' has implicitly linked the researcher's printmaking to a sustainable and environmentally sensitive creative practice, which is methodologically transparent and procedurally transferable.

The City of Toronto experienced a particularly tremulous year in 2005. Dubbed the "year of the gun," the marked increase in violence among racialized youth lead to an increase in community cultural programming. These programs provide safe productive environments for youth to gather and develop self esteem and as well as important marketable life skills for the labour force. However there is currently a disconnect between these programs and the valuable training that they are imparting to youth. The traditional training and learning-to-work transitions have not enjoyed the success that was envisioned in the early stages of these initiatives. Through interviews and observation, the research documented in this thesis offers an opportunity for practitioners, policy makers and program funders to re-think the traditional approach as it relates to the arts and cultural programs for racialized at-risk youth in Canada's largest urban centre.

MUC1, a protein of epithelial and carcinoma cells, has recently been shown on activated T cells where it inhibits CD3-stimulated proliferation. Two immunoregulatory domains similar to ITAM and ITIMs are present on its cytoplasmic tail, suggesting that MUC1 can act as both a costimulatory and coinhibitory molecule of T cells. In my work, I have examined immunoregulatory function of MUC1 on human T cells. We first showed that MUC1, when ligated in a population of unpurified T cells with an anti-CD3 and a crosslinking antibody, enhances proliferative and cytokine responses in a NF-AT-dependent manner by recruiting the AP-1 transcription factor and translocating it into the nucleus. With purified CD3+ T cells, we instead observed inhibition after MUC1/CD3 coligation and crosslinking. Reconstituting with irradiated CD3- cells, we discovered that MUC1 costimulation is dependent on the amount of accessory cells. These data imply a novel role for MUC1 in T cell immunoregulation. / Experimental Surgery

This article examines methods to efficiently estimate the mean response in a linear model with an unknown error distribution under the assumption that the responses are missing at random. We show how the asymptotic variance is affected by the estimator of the regression parameter and by the imputation method. To estimate the regression parameter the Ordinary Least Squares method is efficient only if the error distribution happens to be normal. If the errors are not normal, then we propose a One Step Improvement estimator or a Maximum Empirical Likelihood estimator to estimate the parameter efficiently. In order to investigate the impact that imputation has on estimation of the mean response, we compare the Listwise Deletion method and the Propensity Score method (which do not use imputation at all), and two imputation methods. We show that Listwise Deletion and the Propensity Score method are inefficient. Partial Imputation, where only the missing responses are imputed, is compared to Full Imputation, where both missing and non-missing responses are imputed. Our results show that in general Full Imputation is better than Partial Imputation. However, when the regression parameter is estimated very poorly, then Partial Imputation will outperform Full Imputation. The efficient estimator for the mean response is the Full Imputation estimator that uses an efficient estimator of the parameter.

St. Gallen, University, Diss., 2005.

Thesis (LL. M.)--Judge Advocate General's School, U.S. Army, 1966. / "4th April, 1966." Typescript. Includes bibliographical references (leaf 38). Also issued in microfiche.

Thesis(M.S.)--Auburn University, 2005. / Abstract. Vita. Includes bibliographic references.

Thesis (J.C.L.)--Catholic University of America, 2005. / Includes bibliographical references (leaves 51-55).

Thesis (Ph. D.)--University of Hong Kong, 2007. / Title proper from title frame. Also available in printed format.

Thesis (M.S.)--Auburn University, 2008. / Abstract. Includes bibliographical references (p. 187-189).