Your English writing platform
Discover LudwigSimilar(60)
A confirmation run was performed with the prime set of subcriteria identified from the step before.
If the average MD of abnormal group with the prime set of subcriteria identified was lower than that of all the subcriteria, then retain the excluded subcriteria also in the prime set of subcriteria identified; if not, then consider only the subcriteria which were identified as the prime set from the previous step, for the anticipation of further observations.
The principles of the Taguchi method were used for screening the important criteria in the system and generate the prime set of criteria for each category.
Since the average MD of the abnormal group with the prime set of subcriteria identified was lower than that of all the subcriteria, it would be valid.
However, in this method, the L32 (227) orthogonal array was utilized for the identification of the prime set of subcriteria with minimum number of subcriteria combinations.
The reduced measurement scale was constructed by utilizing the prime set of subcriteria identified, and then MDs corresponding to the abnormal observations were obtained using Equation 1.
At this stage, the prime set of subcriteria was identified by applying orthogonal arrays (OAs) and signal-to-noise (S/N) ratios.
In the next step, the average MD based on the abnormal observations obtained with the prime set of subcriteria identified was compared to that gained from all the subcriteria originally used.
Since all the criteria may not be necessary for the decision process, it is important to identify the prime set of criteria, which is a subset of the original criteria.
Since all the criteria may not be necessary for the decision process, as they are eliminated in the early stage traditionally, it is important to identify the prime set of criteria, which is a subset of the original criteria and affects decision making.
The prime set for NGAL was forward, 5′-TCA CCT CCG TCC TGT TTA G-3′ and reverse, 5′-CTC CTT GGT TCT CCC GTA-3′, and that for KIM-1 was forward, 5′-ACTCCTGCAGACTGGAATGG-3′ and reverse, 5′-CAAAGCTCAGAGAGCCCATC-3′.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com