The discussions presented in this dissertation have been undertaken in answer to the need for securing the intellectual assets stored on computer systems. Computer vulnerabilities and their influence on computer systems and the intellectual assets they possess are the main focus of this research. In an effort to portray the influence of vulnerabilities on a computer system, a method for assigning a measure of risk to individual vulnerabilities is proposed. This measure of risk, in turn, gives rise to the development of the vulnerability risk status of a computer system. In short, vulnerability risk status is the total measure of risk a computer system is exposed to according to its vulnerabilities, at a certain point in time. A prototype was developed to create the vulnerability risk status of a computer system, which summarizes the purpose of the research in this dissertation. The discussions start with background information concerning the influence of the inherent vulnerabilities on computer systems. A conceptual model is proposed for achieving the creation of the vulnerability risk status of a computer system. Later chapters are concerned with categorizing all known vulnerabilities so that the main areas of vulnerability within a computer system can be identified. Different security technologies and tools are also evaluated to determine those that could aid the creation of vulnerability risk status. A security tool is selected and the generic, architectural elements are manipulated to allow the added functionality of vulnerability risk status. In conclusion, discussions are evaluated to determine whether the problem statements have been addressed and thoroughly resolved. / Eloff, J.H.P., Prof.

Magister Scientiae (Physiotherapy) - MSc(Physio) / Assessing and understanding the health needs and abilities of university and college students is vital in creating healthy campus communities. Student learning is a central part of the higher education academic mission, and health promotion serves this mission by supporting students and creating healthy learning environments. Findings from various studies suggest that students entering the university setting put themselves at risk through unhealthy behaviours. Health science students are the future health professionals who will teach health promotion and disease prevention. The aim of this study was to determine and analyse health risk behaviours and health promoting behaviours among health science students at the University of the Western Cape. The study further aimed to identify the factors influencing these students' engagement in these risk behaviours. / South Africa

This study was undertaken in order to obtain an understanding of how Namibia in general, and the education sector in particular, deal with flood emergencies. The goal of the National Policy for Disaster Risk Management in Namibia (2009) is “to contribute to the attainment of sustainable development in line with Namibia’s Vision 2030 through strengthening national capacities to significantly reduce disaster risk and built community resilience to disasters” (Republic of Namibia, 2009). This goal was the starting point for determining the extent to which the Ministry of Education complies with these national standards, and for gauging, in the light of responses to flood emergencies so far, the Ministry’s preparedness and response capacities, in line with international frameworks that Namibia has ratified. This qualitative study is situated within the theory of resilience, and sustainable resilience particularly. To obtain some of the information sought, a non-probability sampling method was used to ‘hand-pick’ subjects within the Ministry of Education to be interviewed at their respective locations, nationally and regionally. Five education officials who were intimately involved in past responses to flood emergencies were interviewed – three in Oshana and Ohangwena Regions, and two at Head Office in Windhoek – by means of a semi-structured interview. In addition, a literature review was conducted. The conclusions drawn from both the literature review and the information obtained from the respondents accord with the research problem identified: the Ministry of Education does not appear to be adequately prepared for, and does not assign the necessary priority to deal with, flood emergencies in particular. Possible recommendations for uptake within the Ministry of Education include: mainstreaming Disaster Risk Reduction at all decentralized levels; sensitizing all education officials, school community members and relevant stakeholders to policy frameworks and accountability structures to strengthen resilience within school communities; deeming costed contingency planning a priority, and hence strengthening links between decentralized regional structures; and continuously monitoring implementation of designed interventions.

The objectives of this thesis are to develop an analytical method for economic risk quantification during feasibility analysis for large engineering projects and to computerize the method to explore its behavior, to validate it and to test its practicality for the measurement of uncertainty of decision variables such as project duration, cost, revenue, net present value and internal rate of return. Based on the probability of project success the method can be utilized to assist on strategic feasibility analysis issues such as contingency provision, "go-no go" decisions and adopting phased or fast track construction. The method is developed by applying a risk measurement framework to the project economic structure. The risk measurement framework is developed for any function Y = g(X), between a derived variable and its correlated primary variables. Using a variable transformation, it transforms the correlated primary variables and the function to the uncorrelated space. Then utilizing the truncated Taylor series expansion of the transformed function and the first four moments of the transformed uncorrelated variables it approximates the first four moments of the derived variable. Using these first four moments and the Pearson family of distributions the uncertainty of the derived variable is quantified as a cumulative distribution function. The first four moments for the primary variables are evaluated from the Pearson family of distributions using accurate, calibrated and coherent subjective percentile estimates elicited from experts. The correlations between the primary variables are elicited as positive definite correlation matrices. The project economic structure describes an engineering project in three hierarchical levels, namely, work package/revenue stream, project performance and project decision. Each of these levels can be described by Y = g(X), with the derived variables of the lower levels as the primary variables for the upper level. Therefore, the input as expert judgements is only at the work package/revenue stream level. Project duration is estimated by combining the generalized PNET algorithm to the project economic structure. This permits the evaluation of the multiple paths in the project network. Also, the limiting values of the PNET transitional correlation (0,1) permits the estimation of bounds on all of the derived variables. Project cost and revenue are evaluated in terms of current, total and discounted dollars, thereby emphasizing the economic effects of time, inflation and interest on net present value and internal rate of return. The internal rate of return is evaluated from a variation of Hillier's method. The analytical method is validated using Monte Carlo simulation. The validations show that the analytical method is a comprehensive and extremely economical alternative to Monte Carlo simulation for economic risk quantification of large engineering projects. In addition, they highlight the ability of the analytical method to go beyond the capabilities of simulation in the treatment of correlation, which are seen to be significant in the application problems. From these applications a technique to provide contingencies based on the probability of project success and to distribute the contingency to individual work packages is developed. / Applied Science, Faculty of / Civil Engineering, Department of / Graduate

In this dissertation I investigate initial public offering prospectuses to examine institutionalized outcomes about risk and strategy and test whether information about those outcomes can be used to predict firm performance. I use three conceptual perspectives—managerial risk, New Institutional theory, and Organizational Cognition—to explore these outcomes in the main body of this thesis. The main body contains four articles that, although connected by a common thread, are designed as independent standalone papers. In Chapter 2 I examine the risk factor section of 529 prospectuses from firms that went public of US stock exchanges in 1995 and 1996. Using this data I create a comprehensive content cognitive map of 98 risk factors at represent the content of IPO field's risk knowledge structure. I then identify three methods for measuring these risk factors—pervasiveness, priority, and proportion. Following this I examine how the IPO field structures the risk knowledge structure. In Chapter 3 I use the content map developed in Chapter 2 to test whether I can use this information to predict firm performance. Using the IPO data, I develop several risk measures and compare these to existing proxy measures. I then use multiple regression analyses to test the reliability and validity of the various measures. The final result is a risk factor measure, the BROAD measure, which produced the most consistent results. In Chapter 4 I expand the investigation by examining'how firms and fields make sense of strategy and how it relates to the risk factors. In this chapter I compare three fields with differing" levels of institutionalization to see whether I can find unique institutionalized outcomes—industry recipes—about risk and strategy. In this Chapter I find strong support for the idea that fields have distinctive industry recipes. The results show that the dynamics of these industry recipes differ according to the level and type of institutionalization. Finally, in Chapter 5 I test firm level cognitive maps against the field level industry recipes to examine whether conformity, convergence, or divergence matter to IPO performance. There is some support for the idea that firm conformity to an industry recipe improves firm performance. Additionally, in some institutional conditions, convergence toward an industry recipe also improves IPO performance. / Business, Sauder School of / Graduate

D.Ing. / For executive management to guide an enterprise, strategic planning is essential. Using Enterprise Wide Risk Management (EWRM) as an input to Scenario Analysis (SA) for Strategic Planning (SP) allows for improved accuracy over conventional methods. This would allow for greater realism from the executive management perspective of possible outcomes in scenario modelling by providing a solid quantitative base founded on real operational information. Emerging regulatory legislation for corporates also require quantitative risk management in the enterprise for reporting and rating purposes, providing a wealth of information for scenario modelling purposes. From the outset this research focuses on the industrial sectors in South Africa, though the model could be applied to any industry sector internationally. The core of any industrial enterprise is made up of the Operational Support Systems (OSS) that provide the hardware and software infrastructure to operate the business. The smooth operation and efficient handling of any unforeseen events in the OSS impacts the very survival of the en- terprise in a highly competitive environment. The development of an OSS risk management (RM) strategy to provide an efficient and effective way to recognise, classify and mitigate the risks involved in OSS is thus crucial to any enterprise that seeks to remain competitive. To implement this RM strategy and provide information regarding likely loss events, a quantitative risk model is required to simulate different scenarios. This research investigates the development of a Sector Wide Risk Model (SWRM) to simulate stress events in an industry sector and their impact on sector members.

Risk assessments for offenders often combine past records with current clinical findings from observations, interviews, and test data. Conclusions based on these risk assessments are highly consequential, sometimes resulting in increased criminal sentences or prolonged hospitalization. Offenders are therefore motivated to intentionally minimize their risk scores. Intentional minimization is especially likely to occur in offenders with high psychopathic traits because goal-directed deception is reflected in many of the core traits of the disorder, such as manipulativeness, glibness, and superficial charm. However, this connection appears to be based on the conceptual understanding of psychopathy, and it has rarely been examined empirically for either frequency or success. The current study examined the connection between psychopathic traits and the intentional minimization of risk factors using a sentenced jail sample. In general, offenders were able to effectively minimize risk on the HCR-20 and SAQ, while the PICTS, as a measure of cognitive styles, was more resistant to such minimization. Psychopathic traits, especially high interpersonal facet scores, led to greater minimization using a repeated measure, simulation design. Important differences in the willingness and ability to use deception were found based on (a) the content of subscales, and (b) the mode of administration (i.e., interview vs. self-report). The important implications of this research are discussed for risk assessment procedures regarding likely areas of deception and its detection. It also informs the growing literature on the connection between psychopathic traits and deception.

In this study, the formation mechanisms, distribution characteristics, and potential environmental risks of hazardous air pollutants from industrial-scale waste incineration processes were investigated. First, to clarify the dominant formation mechanism of polychlorinated dibenzo- p-dioxins and dibenzofurans (PCDD/Fs) in a hazardous waste (HW) incinerator, three tests were designed by adding different precursors in phenol-containing raw materials. With the addition of p-dichlorobenzene, PCDD/F levels at the quenching tower outlet were ten times higher than levels observed at the inlet. This indicates that the quenching tower failed to suppress the formation of PCDD/Fs and surface-mediated precursor reaction is the dominant formation mechanism in low-temperature stages. Besides, adsoprtive memory effect in air pollution control devices (APCDs) also led to high PCDD/F emissions. These findings suggest that to control PCDD/F emissions, strict regulation of chlorine contents in feed materials and frequent cleaning of APCDs are necessary. Meanwhile, single particles and solid residues were collected from the same HW incinerator. Morphologies and elemental compositions of particles in flue gas and indoor air were characterized by transmission electron microscopy-energy dispersive X-ray spectrometry (TEM-EDS). Eight types of single particles were classified, as organic, soot, K-rich, S-rich, Na-rich, Fe-rich, mineral and fly ash particles. The heavy metal partitioning behavior study suggested that Hg, Cd and Pb were mainly enriched in fly ash through evaporation, condensation, and adsorption; while Cr, Cu, Mn, and Ni were mostly remained in the bottom ash due to their low volatilities. In addition, the study also investigated environmental behaviors of certain characteristic pollutants. Thrity-two soil samples surrounding a cement plant co- processing HW were collected and analyzed for the presence of 16 polycyclic aromatic hydrocarbons (PAHs) and 12 heavy metals. Ten samples were selected for PCDD/Fs analysis. The highest concentration of PCDD/Fs occurred 1200 meters downwind from the cement plant. Levels of ∑16 PAHs ranged from 130.6 to 1134.3 μg/kg in soil. Source identification analysis suggested that the cement plant was the most likely source of PAH contamination. The concentrations of Cd and Hg were on average two times and six times higher than background values, respectively. Both incremental lifetime cancer risk model (ILCR) for PAHs and potential ecological risk index (RI) for heavy metals indicate potential risks to the population and the environment surrounding the cement plant. Last, to identify whether waste incineration is a major source for airborne environmentally persistent free radicals (EPFRs), tree leaf samples were collected from 120 sites surrounding four waste incinerators and one urban area. EPFR concentrations on leaves ranged from 7.5 × 10 16 to 4.5 × 10 19 spins/g. For the 10 N.D. samples, they were all collected from areas inaccessible by vehicles. Although previous work has linked atmospheric EPFRs to waste incineration, the evidence in this study suggests that vehicle emissions, especially from heavy-duty vehicles, are the main sources. According to our estimation, over 90% of the EPFRs deposited on tree leaves might be attributed to automotive exhaust emissions, as a synergistic effect of primary exhausts and degradation of aromatic compounds in road dust

A monitoring effort that spanned across one and a half years was conducted to examine three types of produce-associated microbiota. Produce type was determined to be the predominant factor affecting the microbial communities. Other significant factors that resulted in differences in the microbial populations were the origin and sampling date. Specifically, produce-associated microbiota among lettuce and tomatoes clustered based on the sampling period. Through molecular and cultivation-based approaches, sporadic presence of extended spectrum beta-lactamase (ESBL)-positive Klebsiella pneumoniae and Acinetobacter baumannii was detected on lettuce and cucumbers during certain periods of sampling. Quantitative microbial risk assessment denoted varying levels of ingestion risks associated with different types of produce. In particular, the risks arising from ESBL-positive K. pneumoniae in the lettuce were higher than the acceptable annual risk of 10-4. Commonly used approaches to clean and wash the produce were insufficient in removing majority of the produce-associated microbiota. More invasive cleaning approaches or thorough cooking of the produce would be required to mitigate the associated risks. Most of the current reports of ESBL-positive bacterial isolates were identified in nosocomial environment. However, the carriage of such drug-resistant bacteria in food that is consumed daily

Flooding is a major threat to coastal and inland communities in the state of Florida. There are a variety of reasons for the increasing risk of flooding, such as hurricanes, torrential downpours, sea level rise, and storm surge/tides. This paper will focus on Nassau County, the most northeastern county in the state. While the area is affected by most of the aforementioned flood become more prominent over the years and will continue to impact the safety and well-being of coastal communities. In this context, planning for the future entails conducting multi-hazard analysis of risks posed by current and future storm events. This study undertakes a comprehensive analysis of flood risks in Nassau County, Florida, and examines current and future zoning and land use plans and buildings codes to provide science-based recommendations for addressing these risks. / Includes bibliography. / Thesis (MURP)--Florida Atlantic University, 2021. / FAU Electronic Theses and Dissertations Collection