Sexual abuse of children occurs at a very high rate and most of the victims are young children who have never been taught about the possibility of being abused. Victims of abuse are not equipped with appropriate knowledge and vocabulary to enable them to explain properly when they experience abuse. Acquisition of a vocabulary and understanding of the concepts of sexuality would assist children in recognizing, resisting and reporting sexual abuse. The young age at which abuse occurs makes the study at primary school level important and relevant. There is little literature on how child sexual abuse can be identified, addressed and handled by schools or what unique role the school should play in the management of child sexual abuse cases. Educators are in a position to identify sexually abused children because of their close and ongoing contact with school-going children. Therefore, young children place a great deal of trust in their teachers and look to them for protection when they feel unsafe. Teachers are trained to observe changes in the appearance and progress of individual children. Therefore, they can also assist in uncovering and reacting appropriately to disclosures of abuse. The study was conducted in poor, disadvantaged, rural primary schools in a part of the North West Province. There is a limited access to social work services in rural areas and therefore, educators are considered to be appropriate people to educate children about sexual abuse issues because children spend most of their time at school. There is a relationship between educators, parents and children which creates a proper channel of communicating information about sexual abuse of children. That is, educators are in a position not only to educate but also to reinforce what children have learnt at home. Educators' role have been limited in the identification and dealing with sexual abuse cases and therefore, there is a need to empower them with appropriate knowledge and skills to enable them to handle sexual abuse cases at school level successfully. / Psychology / M. A. (Psychology)

The problem investigated in this research is the ongoing crime threat and the extreme risks which impact negatively on the sustainability of the Rosslyn Industry - the industrial hub of Tshwane in the Gauteng Provence of South Africa. Businesses in Rosslyn are desperate for a solution that will mitigate these crime threats and risks, and ensure the future sustainability of this important industrial community. An intervention model is urgently required to prevent this type of crime, not only as a short term solution but as a sustainable long term intervention. This research study initiated the collaboration required for the successful implementation of a Crime Prevention Intervention Model (CPIM) in the Rosslyn industrial environment. The intended crime prevention model has been designed in such a way that it addresses the entire environment of crime that prevails in the Rosslyn area involving both the offender and the victim. This design is rooted in the ontology of Environmental Criminology and more specific on the applied epistemology of Crime Prevention Through Environmental Design (CPTED). Participants in this project are representatives who are responsible for all security functions in both big businesses and small enterprises. And with their dedicated assistance the research findings disclosed the current crime status of the Rosslyn environment regarding the threat, risk, security vulnerabilities, controls and needs: • Crime and its causal factors, in Rosslyn, are rife and no noteworthy action has been implemented to mitigate these threats. • Collaboration between Rosslyn role players (neighbours, local government and law enforcement) is for all purposes non-existent. • And to complicate matters even more, knowledge of how to effectively mitigate crime is limited and handicapped by the re-active physical security methods currently being used. • The implication of these findings is that the status quo will eventually render business in Rosslyn unsustainable. Thus a CPIM in Rosslyn is inevitable. What was crucial to this research and to the CTPED design is the detailed sourcing of accurate data addressing the experiences and the needs the respondents identified in the current Rosslyn crime situation concerning; status, the threat, risk, security, vulnerabilities and controls. In order to achieve this level of data sourcing and assimilation, the essential features of the research method were based on a mixed approach where quantitative and qualitative methods were implemented in parallel. The diverse fields, sources and respondent mix required for a Rosslyn Industry CPIM also necessitated a MIT (Multi,-Inter,-Trans,-Disciplinary) approach. This MIT requirement is successfully facilitated through the applied criminological CPTED approach. The CPIM is based on the combined outcomes of the following three research fields: • Field-one: Environmental criminology theories are researched through an in-depth literature review to demonstrate the criminological grounding of crime prevention and to guide its application through the development of an applied CPTED SUITE. • Field-two: Supply Chain Security (SCS) are researched through an in-depth literature review to establish its criminological relevance and applications. SCS requirements are identified and built into the Field-Three research process and tested for relevance and for incorporation in the CPTED SUITE. • Field-three: Based on a mixed research process, using a custom designed Criminological Risk Analyses tool incorporating scheduled interviews and questionnaires, the crime and needs profile of the Rosslyn Industry are uncovered and analysed. The results are filtered through the CPTED SUITE to indicate the correct criminological approach for mitigating the identified problems and needs. Even though this study takes an applied crime preventative approach, the criminological-philosophical mould of crime prevention is imperative for the effective application of the CPTED. Security and crime prevention training, planning and application, without this approach will remain underdeveloped and outdated. Finally the underlying intention of this research is for this Crime Prevention Intervention Model (CPIM) to be adapted and implemented and to serve as a guide or a benchmark for security practitioners in any industrial environment that has the same crime threats and crime risk challenges. / Criminology and Security Science / D. Litt. et Phil. (Criminology)

MSc (Statistics) / Department of Statistics / Wind offers an environmentally sustainable energy resource that has seen increasing global adoption in recent years. However, its intermittent, unstable and stochastic nature hampers its representation among other renewable energy sources. This work addresses the forecasting of wind speed, a primary input needed for wind energy generation, using data obtained from the South African Wind Atlas Project. Forecasting is carried out on a two days ahead time horizon. We investigate the predictive performance of artificial neural networks (ANN) trained with Bayesian regularisation, decision trees based stochastic gradient boosting (SGB) and generalised additive models (GAMs). The results of the comparative analysis suggest that ANN displays superior predictive performance based on root mean square error (RMSE). In contrast, SGB shows outperformance in terms of mean average error (MAE) and the related mean average percentage error (MAPE). A further comparison of two forecast combination methods involving the linear and additive quantile regression averaging show the latter forecast combination method as yielding lower prediction accuracy. The additive quantile regression averaging based prediction intervals also show outperformance in terms of validity, reliability, quality and accuracy. Interval combination methods show the median method as better than its pure average counterpart. Point forecasts combination and interval forecasting methods are found to improve forecast performance. / NRF