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This study aimed to explore the decision-making process of patients with pregnancies affected by serious congenital abnormalities. The study design was an exploratory qualitative study. The sample for this study was pregnant individuals who had a prenatal diagnosis of a serious congenital abnormality and were offered termination of pregnancy. Semi-structured face-to-face interviews with closed and open-ended questions, recorded and transcribed verbatim, were used to collect the data; this was then analyzed using a thematic data analysis approach. Five topics were developed: "Health care services", "Home", "Being a mother", "Finding meaning", and "The aftermath". The first four topics describe the decision-making process where the participants filtered through multiple factors to reach their final decision. Although the participants consulted with their families, partners, and community, they made the final decision themselves. The final topics describes activities which were necessary for closure and coping. This study has provided valuable insight into the decision-making process, which can be used to improve services offered to patients. Information should be communicated clearly with follow-up appointments to discuss further. Healthcare professional should show empathy and assure the participants that their decision is supported. • There are limited qualitative data on termination of pregnancy decision-making for serious congenital abnormalities in the African setting. • This paper provides insight into the decision-making process of pregnant individuals from the Western Cape, South Africa. • Decision-making for terminating pregnancy affected by congenital abnormality is multifaceted but with one deciding factor. • Contrary to what is anecdotally expected, in this study the participants made the final decision. • Tragic optimism was necessary for the participants to carry on with their lives. [ABSTRACT FROM AUTHOR]

Abstract: The operating curve parameters of a wind turbine should match the local wind regime optimally to ensure maximum exploitation of available energy in a mass of moving air. This paper provides estimates of the capacity factor of 20 commercially available wind turbines, based on the local wind characteristics of ten different sites located in the Western Cape region of South Africa. Ten-min average time series wind-speed data for a period of 1 year are used for the study. First, the wind distribution that best models the local wind regime of the sites is determined. This is based on root mean square error (RMSE) and coefficient of determination (R 2) which are used to test goodness of fit. First, annual, seasonal, diurnal and peak period-capacity factor are estimated analytically. Then, the influence of turbine power curve parameters on the capacity factor is investigated. Some of the key results show that the wind distribution of the entire site can best be modelled statistically using the Weibull distribution. Site WM05 (Napier) presents the highest capacity factor for all the turbines. This indicates that this site has the highest wind power potential of all the available sites. Site WM02 (Calvinia) has the lowest capacity factor i.e. lowest wind power potential. This paper can assist in the planning and development of large-scale wind power-generating sites in South Africa. [Copyright &y& Elsevier]