nicht vorhanden

Assignment (MCur)--University of Stellenbosch, 2008. / Bibliography. Also available via the Internet.

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2001. / Includes bibliographical references.

Dissertation (Ph.D.)--Auburn University,2006. / Abstract. Vita. Includes bibliographic references (p.114-117).

Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: urban safety; arterial roads. Includes bibliographical references (p. 287-291).

Thesis (M.B.A.)--Naval Postgraduate School, December 2003. / "MBA professional report"--Cover. Joint authors: Scott A. Gustin, Eri W. Brinkerhoff, Jr., Ernest Govea. Thesis advisor(s): Kenneth J. Euske, Mary A. Malina. Includes bibliographical references (p. 37-38). Also available online.

Thesis (M.S.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains ix, 94 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 35-36).

Construction has a higher injury and fatality rate than most of the other industries. Given this situation, existing research has studied various issues and factors affecting construction safety management and has attempted to use all available methods to improve the construction safety performance. However, the construction accident rate remains among the highest in the United States and the world. The primary objective of this research is to advance autonomous proximity monitoring and hence provide a safer environment for construction workers. In particular, I seek to advance current evaluations of proximity warning technologies to a more robust engineering approach to the design and deployment of autonomous safety monitoring systems. The contributions of the research are demonstrated through specifications, deployments, and testing of proximity monitoring systems for crane loads and falling from height. My research advances current knowledge in three areas. First, I develop specifications for proximity safety monitoring in a sensed environment, built from existing guidelines and expert interviews. Second, I translate the specifications to computer interpretable rules and deploy them in a distributed computing environment. This demonstrates the feasibility of a systems approach and reusability of components to speed deployment. Third, I evaluate the accuracy of the specifications and systems under imperfect data. I further evaluate some approaches to dealing with imperfect data. Collectively, these advances move existing proximity warning research from evaluation of specific systems to an engineering approach to development and deployment of distributed systems with reusable components that explicitly treats imperfect data. / text

Blood safety is an issue of public health concern. Sensitive screening assays for excluding infectious donations have been widely adopted to reduce the risk of transfusion-transmitted infections, especially for hepatitis B virus (HBV), hepatitis C virus (HCV) and (human immunodeficiency virus) HIV infections. Even with sensitive screening assays, residual risk of undetectable infectious donations remains because donations may be made in the “window period” when the infection is present but difficult to detect with serological tests. Currently, serological screening tests are mainly used in China, rather than the more expensive and sensitive DNA based tests. From a public health perspective, choice of the screening test depends on overall cost-effectiveness, including assessment of the residual risk. To facilitate a full cost-effectiveness analysis, this review identifies the best residual risk estimating model in a Chinese setting. The search was conducted using databases including PubMed and ISI Web of Knowledge filtered by publication date, English language and accessibility of full text. Both exclusion and inclusion criteria were used for articles identification. Five papers on residual model estimation were retrieved. The blood donor profile in China was used to understand how these models differ and how these differences would affect their use and interpretation. This study identified the Michael P. Busch model as the optimal residual risk estimating model for Chinese blood banks’ to facilitate the cost-effectiveness assessment of a screening strategy in terms of achieving a balance of blood safety and cost. / published_or_final_version / Public Health / Master / Master of Public Health

Cyberspace has dramatically improved our daily lives in the past several decades. Meanwhile, people’s personal identifiable information (PII) is exposed online and is at risk of identity theft and cybercrimes. The Identity Ecosystem developed by the Center for Identity in the University of Texas at Austin addresses this problem and provides a statistical framework for understanding the value, risk and mutual relationships of PII. The Identity Ecosystem currently uses a general Bayesian Network Model to simulate the relationships among PII, which may be quite inaccurate for specific groups of people. This thesis proposes a solution that specializes the Bayesian Network used for particular groups of people. Both one-dimension specialization and multi-dimension specialization are investigated. Research problems like how to choose specialization criterion, how to set specialization boundaries, and how to overcome the difficult of insufficient data, are carefully studied. Specialization functionality is demonstrated based on empirical data. Finally, experiments of specialization are conducted on data obtained from online stories. This work is important in the sense that it provides a guide-line of designing more accurate models of PII within the Identity Ecosystem. / text