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Quantifying errors allows researchers to qualify the uncertainty of the estimation method in a better way.
The present paper addresses the challenge of conducting Finite Element (FE) micromechanical simulations based on 3D X-ray data, and quantifying errors between simulations and experiments.
The NEXT-peak program stands alone in quantifying errors by reporting a standard error for its estimates of binding intensity.
In this study we focused on identifying and quantifying errors in the handwritten drug ordering and dispensing documentation processes which could possibly lead to adverse drug events.
Therefore, our strategy still provides a valuable means for identifying and quantifying errors introduced during the processing of biological samples, such as field isolated during an epidemic, which typically have to amplified to achieve the required amount of RNA as standard.
Quantifying errors in past studies due to simplistic assumptions for the conductivity is necessarily incomplete as accuracy can depend on not only the conductivity values used but also the gradients and integrals.
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Challenges remain in quantifying error of remote sensing-based LFMC estimations and linking LFMC to fire behavior and risk.
A method for quantifying error rates, sensitivity, and specificity of the entire testing algorithm is being developed.
Quantifying error using normalized branch-score distance (nBS), which accounts for both topological and branch-length errors, showed very similar trends to those seen with the nRF measure (Additional file 4: Figure S3).
Mean Absolute Percentage Error (MAPE), given by the following equation was used to quantify errors.
Laboratory comparisons to quantify errors resulting from chamber design, operation and flux calculation methods are rare.
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