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A historical exploration of the institutional and residence cultures of Stellenbosch University, c. 2000-2018
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Optimal and adaptive foraging in heterogeneous and crowded resource landscapes
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Physicochemical understanding of enzymatically cross-linked casein nanoparticles across the scale
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An historical analysis of aspects of the Black Sash, 1955-2001
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An investigation of amygdala and hippocampal subregions and their relation to ageing in anxiety and related disorders
Published 2025“…Individuals with OCD without psychotropic medication use had significantly smaller hippocampal CA1 (d=-0.28, pFDR=0.016) compared to HCs. …”
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The psychosocial experiences of the patient and family of skin cancer diagnosis and treatment
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Guest-induced flexibility in crystals
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"Making good men better" : gender and freemasonry in South Africa, c. 1772-2024
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Planning for the medicalisation of household waste in informal settlements during the Covid-19 pandemic
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Community participation approaches to rural development in Ghana - a study of Fanteakwa District in the Eastern Region
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Identification of anti-HIV compounds in Helichrysum species (Asteraceae) by means of NMR-based metabolomic guided fractionation
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Exploring the role of employment status on learning support facilitators’ work experiences in a private school
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'n Evaluering van die volksboukuns van die Swellendam-omgewing
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'n Verkennende ondersoek na maatskaplikewerkprogramme vir straatkinders
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Genetic diversity comparison among invasive fish populations (Nemipterus randalli and Serranus cabrilla) from Mediterranean and Red Sea coastal waters using cytochrome c oxidase su...
Published 2019“…S. cabrilla from the Gulf of Suez also had a significantly reduced sequence divergence compared to Mediterranean Sea populations. …”
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Prediction of construction material prices using macroeconomic indicators: A neural networks model
Published 2019“…For prediction of Steel prices, the ANN model developed using Python programing language had the superior performance over other models with its ability to predict the month-to-month variations in Steel prices while having mean-absolute-percentage error of 9.0% and 10.1% for training and testing sets respectively. …”
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