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These results show that carryover should be minimized using two droplets.
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Two objective functions (reactor core volume and maximum process temperature rise, ΔTmax) were to be minimized using seven design variables as optimization variables.
This resulted in total of 40 structures (five general models, each model including a WT, R18K, L66H and R213W version, and each WT or mutated structure being minimized using the two aforementioned fields).
Variations in SUV between two institutions were minimized using an anthropomorphic body and six spheres (inner diameter, 10, 13, 17, 22, 28, and 37 mm).
The global dissimilarity function between the two graphs is minimized using randomized tree search and genetic algorithms.
CVaR is minimized using linear programmes, while a multiobjective genetic algorithm is designed for minimizing VaR, considering two scenarios for each currency.
Head movements were minimized using a chin and forehead rest.
Head movements were minimized using foam paddings.
Structures were minimized using Xplor-NIH [51].
Head movements were minimized using a vacuum cushion.
Any order effects were minimized by using two versions of the test that differed in item sequence and giving each student a different version on the pre- and posttest.
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