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Advanced exergy-based analyses extend engineering knowledge beyond the respective conventional methods by quantifying the potential for improvement and the component interactions and facilitating the optimization of a system.
This paper aims to provide context for these computational methods by quantifying the accuracy and consistency of human identification.
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We first validated this method by quantifying levels of probe pulldown LoNA (Supplementary Fig. 3a).
Using this method, by quantifying the induction of chemicals for GUS activity in a specific screening system that we established previously, 5 candidate elicitors were selected from the 29 designed and synthesized phenoxyalkanoic acid derivatives.
We illustrate this method by quantifying the impacts of projected regional warming on diarrhea in this century.
We first determined the reproducibility of our method by quantifying instability index in 17 tissues from 2-6 different Hdh Q 111/+ mice at 5 months of age.
The formation of NO was determined by indirect method by quantifying the tissue level of nitrite by a calorimetric method by Griess reaction [ 23] using kit from BIORAD (England).
NO formation was determined by an indirect method by quantifying the tissue level of nitrite using a calorimetric method based on the Griess reaction [ 16] using a kit from Bio-Rad (UK).
Our method works by quantifying the degree of over-representation of associated SNPs in a pre-defined genomic region, given a specific definition of statistical significance.
Performance of the methods was assessed by quantifying the sensitivity, specificity, and z-score.
The method was validated by quantifying common sediment physical properties (mass, water content) of samples of different thicknesses (from 250 μm to 2 mm) collected from different sampling sites (mud and sandy-mud sediments) by operators with different levels of training.
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