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GPU-Meta-Storms [ 27] were performed to measure structural similarity of metagenomic samples (Efficiency of GPU-Meta-Storms is shown in Additional file 2: Figure S1).
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Efficiency for each qPCR reaction was determined by evaluation of a dilution series run on the same plate as the samples (Efficiencies are included in Additional file 3).
Analysis of comparative sample efficiency shows that the household sample is more efficient than the school sample, leading to the household sample getting a higher weight relative to its size in the consolidated sample relative to the school sample.
However, higher numbers of moves lead to lower sampling efficiency.
The error maximization sampling is compared with Latin hypercube designs to demonstrate its sampling efficiency.
The comparison has indicated that the new sampling devices effectively improved sampling efficiency, reliability and possibilities.
Sample efficiency of these designs can be very high compared with simple random sampling.
Sampling efficiency is a measure of the optimality of a sampling strategy.
In these experiments, SHMC achieves an order magnitude speedup in sampling efficiency for medium sized proteins.
Sampling efficiency may be evaluated based on the representation of the predictor space.
The option enforcing non-adjacency potentially increases sampling efficiency by reducing the effect of spatial autocorrelation.
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