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Faith-based mental health provision in Africa: a mixed methods systematic review
Published 2023“…This mixed-methods systematic review study looked at these aspects of faith-based mental health provision in the African context. …”
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Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding
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Investigation of a practical application of the maturity method to estimate the early-age strength of concrete
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Barrier to cervical cancer screening in Gwanda district, Zimbabwe : a mixed method analysis
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Barriers to cervical cancer screening in Gwanda district, Zimbabwe : a mixed method analysis
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An inverse finite element approach for material characterization of small hyperelastic samples.
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The Development of Post-Soviet Health Systems: A Mixed Methods Historical Case Study
Published 2023“…To begin to address this gap, a mixed-methods historical case study was conducted, analysing and comparing two post-Soviet health system development experiences—in Estonia and Moldova. …”
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New spectrophotometric method for the determination of Gabapentin in bulk and dosage forms using p-dimethylaminobenzaldehyde
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Comparing airport apron layout designs using computer simulation and the cross-entropy method
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The valuation of Intaka Island : a comparison of the contingent valuation method and hedonic pricing analysis
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A finite difference based finite strip method for the analysis of translational shell structures
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Investigation of excited duffing's Oscillator using versions of second order Runge-Kutta methods
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Evaluating validity of MODAPTS as an assessment method of work speed in relation to the open labour market
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Testing the orphanhood method against benchmark mortality rates in South Africa since 1996
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Simple and Reliable methods of Estimating Ground Heat Flux at a Tropical location in Nigeria
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Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods
Published 2021“…This dissertation presents an introduction to human-in-the-loop deep learning methods for remote sensing applications. It is motivated by the need to decrease the time spent by volunteers on semantic segmentation of remote sensing imagery. …”
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