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Loss to follow up is a common problem of longitudinal studies that we were able to minimise by using the WADLS.
There was a possibility of recall bias, which we tried to minimise by using a two weeks recall period.
Using recall as the basis for data may lead to inaccurate reporting, which we hoped to minimise by using a limited period, particularly in relation to the number of times respondents consulted different health practitioners.
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Recall bias regarding injurious falls was minimised by using register data.
The edge effects are minimised by using an appropriate design of the substrates so that experimental results give reliable data.
This allows fairly large time-steps to be made for a given accuracy while the required number of spatial points is minimised by using high order differencing formulae.
The wasteful use of hydrocarbons can be minimised by using nuclear as a source of energy and water as a source of hydrogen.
These non-linear distortion functions were minimised by using three different numerical methods, which were Least Squares, Levenberg Marquard (LM) and Gauss Newton (GM).
It is shown that profile power is minimised by using an untwisted elliptical planform whereas induced power is minimised by a more highly tapered planform similar to that of a hummingbird.
The impact of numerical artifacts has been minimised by using the very precise weighted essentially non-oscillatory (WENO) method, which can be applied to both kinetic and fluid simulations.
In order to achieve this, material and production costs have to be minimised by using device architectures, which are suited to tap the full potential of reel-to-reel production.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com