The widespread adoption of E-Learning has largely been driven by the recommendations of educational technologists seeking to convey the benefits of E-Learning as a valuable accessory to teaching and possible solution for distance-based education. Research in the E-Learning domain has mainly focused on providing and delivering content andinfrastructure. Security issues are usually not taken as central concern in most implementations either because systems are usually deployed in controlled environments, or because they take the one-to-one tutoring approach, not requiring strict security measures. The scope of this research work is to investigate the impact of Access Control and Copyright in E-Learning system. An extensive literature review, theories from the field of information systems, psychology and cognitive sciences, distance and online learning, as well as existing E-Learning models show that research in E-learning is still hardly concerned with the issues of security. It is obvious that E-learning receives a new meaning as technology advances and business strategies change. The trends of learning methods have also led to the adjustment of National Curriculum and standards. However, research has also shown that any strategy or development supported by the Internet requires security and is therefore faced with challenges. This thesis is divided into six Chapters. Chapter 1 sets the scene for the research rationale and hypotheses, and identifies the aims and objectives. Chapter 2 presents the theoretical background and literature review. Chapter 3 is an in-depth review of the methods and methodology with clear justification of their adaptation and explains the underlying principles. Chapter 4 is based on the results and limitations obtained from the six case studies observations supported with literature review and ten existing models, while Chapter 5 is focused on the questionnaire survey. Chapter 6 describes the proposed Dynamic E-Learning Access Control and Copyright Framework (DEACCF) and the mapping of the threats from the Central Computing and Telecommunications Agency (CCTA) Risk Analysis and Management Method (CRAMM) to Annualised Loss Expectancy (ALE). Chapter 7 presents the conclusions and recommendations, and the contribution to knowledge with further development plans for future work.

Magister Pharmaceuticae - MPharm / Background: Venous thromboembolism (VTE) is reported to be the leading cause of death in hospitalised patients worldwide. Thromboprophylaxis provides a well-established and evidence-based approach to preventing VTE. This approach employs individualised patient risk stratification followed by the provision of pharmacological and/or non-pharmacological prophylaxis. Although various VTE risk assessment models (RAMs) are available, the Caprini RAM offers an objective, evidence-based and validated approach to risk assessment in hospitalised medical patients. Literature findings are indicative of a trend towards both under- and inappropriate VTE prophylaxis prescribing in this patient population. Together with the reported lack of medical practitioner appreciation for VTE risk assessment, the necessity to explore these aspects of practice is evident. Methods: This study used a retrospective, cross-sectional study design. It was conducted at one regional- and two district-level public hospitals in the Cape Town Metropole in the Western Cape province of South Africa. Medical folders of all adult hospitalised medical patients who were admitted to a general medical ward between January and July 2020 were retrospectively reviewed using a uniquely designed data collection tool. The data collection tool included the 2013 version of the Caprini RAM, which was employed to document VTE risk factors and assess overall VTE risk. Thromboprophylaxis regimens prescribed as well as contraindications to pharmacological thromboprophylaxis were also reviewed

The efficient delivery of potable water for a community through its distribution system has historically been the backbone of nearly all metropolitan developments. Much of these systems are comprised of pipe networks made of various materials including concrete, iron, PVC, and even steel. As these communities expand and urbanize, water demand and population density simultaneously increase. This develops higher strains and stresses in the community‟s water distribution network causing pipes to corrode, crack, or rupture prematurely while in service. As a result, the deterioration of water distribution systems in growing cities is increasingly becoming a major concern for our nation. There have been several publications on the subject of evaluating pipe conditions within a water distribution network that use statistical models, estimation, and other mathematical analyses. However, many of these publications are cumbersome and are difficult to understand from a non-engineering perspective. In order to simplify the evaluation process for all varying professions in a city‟s public works division, the primary objective of this study was to develop a user-friendly risk assessment model that was practical, cost effective, and easy to follow. This risk assessment model focuses primarily on the physical condition of pipes in a water distribution system. It assesses the installation year, age, material, and break history of these water mains. It does not consider pipe fittings, pumps, or other network components. A pipe‟s probability of failure is determined from its physical condition. Page v The model then considers various economic degrees of impact that may affect the rehabilitation or replacement of these water mains. These degrees of impact include raw material costs, customer criticality, land use, demand, pipe material, and traffic impact. By focusing on pipes having the highest probability of failure and considering their economic impacts, this model identifies and prioritizes the most vulnerable water mains that require immediate attention. In order to validate this developed risk assessment model, the method was applied to a real water distribution system. Data from the City of Arroyo Grande, California was used in conjunction with WaterCAD and geographic information systems (ArcGIS) software during analysis. Application of the risk assessment model identified six cast iron pipes in Arroyo Grande‟s water distribution system as having a high risk of failure. Of the city‟s 3,057 individual pipe segments, recognizing only five of these pipes as high risk indicated that the assessment model was functional. Developing and testing this risk assessment model with real city data effectively demonstrated its practicality and easy application to a real water distribution system. If utilized, city officials can quickly identify and prioritize pipes needing rehabilitation or replacement by using reliable, up-to-date water distribution data from their city with this risk assessment model. Furthermore, use of this model may also simplify allocation of capital funds for future pipe improvement projects as the city continues its urbanization.

This research is to validate a risk assessment model?s ability to predict work-related musculoskeletal disorders (WMSDs). The model looks at the primary risk factors of repetition, force, deviated posture, tool design, duration, and frequency. The sum of the ratings for each factor is the risk assessment score for the person doing a certain job task. According to the score, the task is rated as a ?no risk? to an ?extreme risk? task. The data used for this research was from an epidemiological study preformed at a fish processing facility. To validate the model, the scores from the risk assessment model were compared to the operators? severity and frequency of pain in the median nerve distribution of the hand and to previous risk model. The statistical tests show that the risk assessment model can predict if the operator performing a task is at risk for forming a WMSD.

Weed seed contaminants in agricultural products from China in recent years have the potential for introducing new invasive plant species. Seeds of 169 weedy species from 39 families were collected from Chinese farmlands. Fifty-eight of these that are currently absent in Canada were evaluated. Two weed risk assessment (WRA) models (modified WRA+ secondary screen tool and weed elsewhere+ modified WRA+ secondary screen tool) rejected all invasive plant species and showed similar accuracy in non-invasvie plant species prediction based on 140 existing alien plant species in Canada, yet the second WRA model took significantly less time to conduct the evaluation. Fifty-five potential invasive species with various negative impacts in Chinese farmlands were rejected to enter Canada by the “weed elsewhere+ modified WRA+ secondary screen tool” model, including eight species that cause significant damage to Chinese farmlands. However, Anemone rivularis and Silene jenisseensis, which have no negative impacts in China, were also rejected. Seed germination characteristics among 18 Chinese weedy species were found with base temperatures for germination (Tb) varying from -2.5°C to 10.9°C, thermal time requirements to reach 50% germination (θ_50) ranging from 23.7 to 209.2℃*Day, and different optimal temperatures for germination, which may facilitate these species to cause different degrees of negative impacts in Canadian prairie provinces. An alien species would have a higher competitive advantage in resource uptake and space occupation than its congeneric with advantageous seed germination characteristics; otherwise it will be less competitive than its congeneric. In addition, plant functional traits that promote invasiveness would make an alien species more invasive. In conclusion, the “weed elsewhere+ modified WRA+ secondary screen tool” model is a fast and highly accurate way to screen out potential invasive species from Chinese environments, and is applicable to other environments with modification. Seed germination characteristics can be used to predict seasonal dynamics of weed seedling populations. The comparison of seed germination characteristics and other plant functional traits between alien plant and its congeneric weed from native areas provides a new way to evaluate the invasive potential of alien plant species.

A tool allowing the prediction of the risk of bleeding in patients with hemophilia would be relevant for patients, stakeholders, and policymakers. We performed a systematic review of the literature searching for available risk assessment models to predict the risk of bleeding in people living with hemophilia, and to determine the key risk factors that the ideal model should include. We also systematically review the literature to determine the acceptability and accuracy of wrist-wearable devices to measure physical activity in the general population. Finally, we validated the performance of a risk assessment model for the prediction of the risk for bleeding in people living with hemophilia. We identified the following risk factors for bleeding in people living with hemophilia: plasma factor levels, history of bleeds, physical activity, antithrombotic treatment, and obesity. The FitBit Charge and FitBit Charge HR are the most accurate devices for measuring steps, and the Apple Watch is the most accurate for measuring heart rate. No device proved to be accurate in measuring energy expenditure. The predictive accuracy of the risk assessment model that we validated does not endorse its use to drive decision making on treatment strategies based on the predicted number of bleeds. This might in part be explained by the methods used in the derivation phase. The need for an accurate risk assessment model to predict the risk of bleeding in people living with hemophilia is still unmet. This should be done by including the relevant risk factors identified through our work, with data on physical activity possibly collected using an accurate wrist-wearable device, and through the application of rigorous methods in the derivation and validation phases. / Thesis / Doctor of Philosophy (PhD) / People living with hemophilia lack a coagulation factor and tend to experience spontaneous bleeds, with frequency and intensity that vary between individuals. Predicting who will experience more bleeds would allow for changing the treatment strategies and directing the best resources to the persons that can benefit more. Through this project, we identified the variables that should be considered to estimate the risk for bleeding in people living with hemophilia, namely the blood levels of the lacking coagulation factor, the bleeding history, the physical activity levels, the concomitant treatment with blood thinners, and the presence of obesity. We determined that Fitbit Charge and Charge HR are the most accurate devices for measuring steps and Apple Watch for heart rate. Lastly, we found that an existing tool for predicting the risk of bleeding is not accurate enough to be used in this setting, and a new model should be produced.

In recent years, numerous high tech companies have developed and used technology roadmaps when making their investment decisions. Jay Paap has proposed the Customer Focused Technology Planning (CFTP) framework to draw future technology roadmaps. However, the CFTP framework does not include risk assessment as a critical factor in decision making. The problem addressed in this quantitative study was that high tech companies are either losing money or getting a much smaller than expected return on investment when making technology investment decisions. The purpose of this research was to determine the relationship between returns on investment before and after adding risk assessment to the CFTP framework. Paap's CFTP framework and process to improve technology investments thus served as the theoretical framework for this study. Data were obtained from cloud computing companies using the companies' market risk data and actual returns on investment data. The results and findings of paired sample two-tailed t tests for means and equal variances showed that return on investment was positively related to adding a traditional risk assessment model to Paap's CFTP framework. These findings regarding the addition of risk assessment to the technology investment framework may be used by investors to (a) make better and more expeditious decisions, and (b) obtain a high return on technology investment by selecting the highest return value and lowest risk value.

Determining the prognosis or risk of an individual experiencing a specific health outcome within a certain time period is essential to improve health. An important aspect of prognostic research is the development of risk assessment models (RAMs). In support of the movement towards personalized medicine, health care professionals have employed RAMs to stratify an individual patient’s absolute risk of developing a health condition and select the optimal management strategy for that patient. The development of RAMs is generally conducted using data driven methods or through expert consensus. However, these methods present limitations. Accordingly, we recognized the need to select factors for RAM development or update that are evidence-based and clinically relevant using a structured and transparent approach. In this sandwich thesis, I highlight the methods used to select prognostic factors for VTE and bleeding RAMs for hospitalized medical patients. However, the same methods can be applied to any clinical outcome of interest. This work presents a conceptualized and tested novel mixed methods approach to select prognostic factors for VTE and bleeding in hospitalized medical patients that are evidence-based, clinically meaningful and relevant. Our findings may inform the development of new RAMs, the update of widely used RAMs, and external validation and prospective impact assessment studies. Also, these findings may assist decision makers in evaluating the risk of an individual having an outcome to optimize patient care. / Thesis / Doctor of Philosophy (PhD) / Measuring the probability of an individual experiencing a specific health outcome in a certain period of time based on that individual’s risk factors is important to improve health. Prediction tools are often used to calculate the probability of an outcome. Health care practitioners use prediction tools to assess an individual’s risk of a certain health outcome and in turn provide individualized management. Prediction tools include a number of agreed upon risk factors that should be assessed in order to best estimate the risk of an outcome. These risk factors are usually selected through exploring sets of data or by consulting a group of experts in the field. However, these methods have limitations. Therefore, we recognized that it is important, when developing prediction tools, to select risk factors that are evidence-based and clinically relevant by adopting a systematic, comprehensive, structured and transparent approach. These sets of risk factors can then aid health researchers when developing new prediction tools or updating existing ones and help clinicians predicting risk. In this thesis, I highlight the methods used to select factors for prediction tools that evaluate the risk of having a venous clot or a bleeding event in patients that are hospitalized for a medical condition. However, the same methods can be applied to any clinical condition and outcome of interest. This work presents a new approach that we conceptualized and tested to select risk factors for venous clots and bleeding events in hospitalized medical patients that are evidence-based, clinically meaningful and relevant. Our findings may inform the development of new prediction tools, the update of widely used tools, and the design of studies to validate these tools. Also, these findings may assist decision makers in evaluating the risk of an individual having an outcome to optimize patient care.

The intensifying nature and extent of disasters together with the associated devastation and astronomical costs required to manage the rippling effects of disasters, enunciates the national and international focus on disaster risk reduction. Further the ever evolving and complex dynamics of risk as the decisive contributor to disasters has heightened the urgency to pursue effective disaster risk assessment as a prerequisite to inform the disaster risk management planning and disaster risk reduction intervention processes. A structured and systematic approach to disaster risk assessment assists in maintaining rigour thus promoting the quality and validity of the process and its outcomes. Appropriate models serve as valuable tools in enabling this methodological perspective to undertake disaster risk assessment. The nonexistence of an appropriate disaster risk assessment model in South Africa has initiated the emphasis and purpose of this study thereby underscoring the critical need for the development of an effective, holistic and integrated disaster risk assessment model for local government in South Africa. In spear heading the process towards the development of an appropriate disaster risk assessment model, the research commenced with establishing and asserting the fundamental link between disaster risk assessment and disaster risk reduction as an avenue to contextualise and ground the key issues in effective disaster risk reduction. The exploratory analysis engaged in presenting a theoretical construct of disaster risk assessment examined the core components informing the disaster risk assessment process. This discussion led to the comparative review of three disaster risk assessment models viz the Community-Wide Vulnerability and Capacity Assessment (CVCA) Model, the Community-Based Risk Reduction Model and the South African Disaster Risk Assessment Model interrogating the significant characteristics, structure and application of the models. The results of the comparison of the above three models provided the necessary insight for the development of the disaster risk assessment model for local government in South Africa. Further influenced by the outcomes of the applied research on the critical analysis of the current disaster risk assessment practice within the four selected municipalities representing local government in South Africa; viz eThekwini Metropolitan, Ekurhuleni Metropolitan, Bojanala District and Stellenbosch local Municipalities. Through the data coding, classification and interpretive process, constructive and correlated research findings were immanent guiding the final development of the integrated disaster risk assessment model for local government in South Africa. / Thesis (Ph.D. (Public Management and Administration))--North-West University, Potchefstroom Campus, 2012

The intensifying nature and extent of disasters together with the associated devastation and astronomical costs required to manage the rippling effects of disasters, enunciates the national and international focus on disaster risk reduction. Further the ever evolving and complex dynamics of risk as the decisive contributor to disasters has heightened the urgency to pursue effective disaster risk assessment as a prerequisite to inform the disaster risk management planning and disaster risk reduction intervention processes. A structured and systematic approach to disaster risk assessment assists in maintaining rigour thus promoting the quality and validity of the process and its outcomes. Appropriate models serve as valuable tools in enabling this methodological perspective to undertake disaster risk assessment. The nonexistence of an appropriate disaster risk assessment model in South Africa has initiated the emphasis and purpose of this study thereby underscoring the critical need for the development of an effective, holistic and integrated disaster risk assessment model for local government in South Africa. In spear heading the process towards the development of an appropriate disaster risk assessment model, the research commenced with establishing and asserting the fundamental link between disaster risk assessment and disaster risk reduction as an avenue to contextualise and ground the key issues in effective disaster risk reduction. The exploratory analysis engaged in presenting a theoretical construct of disaster risk assessment examined the core components informing the disaster risk assessment process. This discussion led to the comparative review of three disaster risk assessment models viz the Community-Wide Vulnerability and Capacity Assessment (CVCA) Model, the Community-Based Risk Reduction Model and the South African Disaster Risk Assessment Model interrogating the significant characteristics, structure and application of the models. The results of the comparison of the above three models provided the necessary insight for the development of the disaster risk assessment model for local government in South Africa. Further influenced by the outcomes of the applied research on the critical analysis of the current disaster risk assessment practice within the four selected municipalities representing local government in South Africa; viz eThekwini Metropolitan, Ekurhuleni Metropolitan, Bojanala District and Stellenbosch local Municipalities. Through the data coding, classification and interpretive process, constructive and correlated research findings were immanent guiding the final development of the integrated disaster risk assessment model for local government in South Africa. / Thesis (Ph.D. (Public Management and Administration))--North-West University, Potchefstroom Campus, 2012