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The RH levels for the humidity sensor test herein were controlled to be approximately 11%, 33 %, 55 %, 75 %, 85and 95% and a hygrometer was used to monitor RH levels in the test chamber.
The miRNA expression levels in the test samples were compared to those in untreated last-instar larvae.
The cAMP levels in the test samples were calculated using cAMP standard curves determined in every independent experiment.
A Mann–Whitney U test was applied to the threshold levels in the test and the control groups.
We applied the regHMM to the training data and evaluated how well the trained model can predict the gene expression levels in the test data set.
Notably, the prediction for increased CDKN2A protein abundance was also supported by the observed increase in CDKN2A mRNA levels in the test data set.
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Figure 7 presents the mean accuracy, FPR, TPR, and G-Mean (i.e., averaged over all the MFP levels in the test-sets) of each classifier and for each training MFP level.
This in fact emphasizes the imbalance problem. Figure 7 Mean accuracy, FPR, TRP and G-Mean (over all the MFP levels in the test-sets) for each MFP in the training set.
Unlike other metals, the Cr levels in the tested samples were low.
They show the potential and the suitability of the proposed guided wave method for evaluating the stress levels in the tested seven-wire steel strands.
The results were expressed in ng/g lipidic weight (ng/g lwt) To compare the levels in the tested biological matrixes of the three considered xenobiotics, the non-parametric test of Kruskal-Wallis was used, using also the Kolmogorov-Smirnov test to evaluate any significant difference (p<0.025).
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