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Participants were assigned iteratively to each experimental condition in order to minimize sampling issues.
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Specifically, two issues are addressed: feasibility evaluation of black-box processes using Kriging and development of an adaptive sampling strategy in order to minimize sampling cost, while maintaining feasibility space accuracy.
To minimize sampling variability, the following steps were taken.
To minimize sample variation, we used high quality RNA.
Store RNA solutions on ice to minimize sample degradation.
For this reason, we minimized sample processing by staining for monocyte subsets in whole blood samples.
To circumvent this issue, a lateral flow immunoassay system was developed that measures iC3b in whole blood, plasma, and serum and avoids in vitro activation by minimizing sample handling.
Although we did not collect data on specimen quality for analysis, the study laboratories operated under quality assurance programs to minimize issues with sample collection.
A strategy that has recently been developed and that could help to minimize the issues related to the heterogeneity of the sample is the idea of "data sharing" proposed by Belmonte et al. [ 60].
All the samples were run in triplicates in order to minimize the sample to sample variation.
"The basic policy is to minimize bond issues," said Taichi Sakaiya, the head of the Economic Planning Agency.
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