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Validation procedures for the period between 2001 and 2002 were conducted to ensure the validity of the selected uncertainty parameters through the calibration process.
The validation procedures for standard- and micro-scale methods were carried out.
Since validation procedures for docking and scoring are mostly based on carefully, hand-prepared test cases, the influence of wrong tautomerism and protonation is quickly overseen.
The developed method was validated following the guidelines provided in the Guidance document on analytical quality control and validation procedures for pesticide residues analysis in food and feed (SANCO/12571/2013).
Testing and validation procedures for the implemented control strategies have been performed using an implementation of the aforementioned dynamic model in MATLAB-Simulink, assuming different trajectory curvatures and vehicle speeds.
However, harmonized methodology for the study of heat resistance of food pathogens is lacking, even though there is a need for such harmonized experimental design protocols and for harmonized validation procedures for heat treatment studies.
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The validation procedure for activating, deactivating, and releasing SPS is explained in section 9.2 of the 3GPP standard [19].
In this work, we present a comprehensive calibration and validation procedure for extracting the parameters of a high-level model of a micromechanical accelerometer that can be applied in system-level design.
The cross validation procedure for QMDR is the same as that used in original MDR.
After we had completed the validation with the exploration data, we repeated the validation procedure for a different sample, the cross-validation sample.
This independent validation procedure for microarray analysis results has become standard in genomic studies, although our use of triplicate measurements may have made this step redundant.
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