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A simple multivariable predictor scheme is developed based on a previous methodology presented by the authors.
Building upon a methodology presented by Sachs et al. (2003), a Gross Domestic Product (GDP) value (US$, 2000, purchase power parity adjusted (PPP)) is estimated for each grid cell.
Design methodology presented by the authors is user friendly and can be applied for calibration of values of partial safety factors in accidental fire situation for particular reliability classes suggested by EN 1990.
1 2, from the methodology presented by Priestley et al. (2007).
We use the same methodology presented by Hamam et al. [7] and focus on low-dissipation conditions that permit resonance.
Columns 2 and 3 show results for the ((MSPE_{r} - MSPE_{u}))-adjusted statistic, using the methodology presented by Clark and West (2006).
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The accuracy and efficiency of the solution methodology presented are demonstrated by computing different benchmark steady and unsteady incompressible flow problems.
We then briefly review the methodology presented in more detail by Püthe and Kuvshinov ([2013]) before outlining the estimation of distortion matrices.
Although the methodology presented has been illustrated by focusing on the genetics of heat stress tolerance, more applications could be considered.
The results obtained by this methodology presented good agreement with validation experiments.
The methodology presented here provides a framework by which to generate and evaluate microsatellite data from samples of much greater antiquity than attempted before, and opens new opportunities for ancient DNA research.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com