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The technique achieved an average accuracy of 72% for correctly merging actions performed by different participants.
Through the use of the IMID technique in Sprints 4 and 5, we noticed that the technique achieved the goal of detecting defects in interaction models.
The technique achieved both visual recognition with obvious color change of the beads and efficient removal of the radioactive 60Co ion.
The technique achieved in 96.7% normal or nearly normal results for the objective IKDC.
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The technique achieves a reduction of variability due to variation in raw material qualities, compared to ordinary robust process optimization.
For young and sparse forests the technique achieves high accuracies.
None of the techniques achieved a CI of 70% or more.
Both the techniques achieve the same embedding impact, whereas PSB+1 gets lower error probability.
The techniques achieve a reduction in dimensionality by incorporating the response in the out-of-plane directions into the response along the surface.
In the optimized conditions, the developed technique achieved high enrichment factors (738 2347), low limits of detection (0.0012 0.018 μg L−1) and wide linearity (0.001 5 μg L−1) for detecting PAEs.
Therefore, the researcher reported that the DDP technique achieved a detection performance comparable to manual segmentation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com