When tested on an independent set of 52,870 patients, the network model yielded values for the area under the curve, sensitivity, specificity, and accuracy of 0.93, 86.3%, 85.7%, and 85.7%, respectively.
The model has been verified experimentally by characterising transistors under bending stress, which also yielded values for many of the model coefficients.
Diffusion-cell testing yielded values for the effective diffusion coefficient, sorption coefficient, and effective porosity of As in the tailings of 4.5 × 10−10 m2/s, 2 4 cm3/g and 0.36, respectively.
By the 1980s, advances in laser measurement techniques had yielded values for the speed of light in a vacuum of an unprecedented accuracy, and it was decided in 1983 by the General Conference on Weights and Measures that the accepted value for this constant would be exactly 299,792,458 metres per second.
Plant (ray grass)–soil pot studies showed that rock phosphate/(humic acid tryptophan) formulation yielded values for both ray grass dry matter production and shoot P concentration, clearly higher than those of rock phosphate and rock phosphate/tryptophan.
Double-reciprocal plots were fit by linear regression analysis, which yielded values for the slopes.
Both models yielded values for the biomarkers consistent with experimentally-reported ranges.
Fasting blood sample measurements yielded values for total cholesterol, high density lipoprotein cholesterol (HDL-c), low density lipoprotein cholesterol (LDL-c), trinsulinideserumsulin, serum glucose, and HOMA-IR.
In the case of the porcine 12-LOX, full kinetic studies yielded values for Km and Vmax that were statistically identical for AEA and AA, suggesting that the enzyme did not differentiate between the two substrates.
The analysis of the graph of substrate concentration against tannase activity yielded values for K m of 0.33 × 10−2 M and Vmax of 40 U/mg for the purified enzyme.
All three selected reference genes yielded values for the gene-stability measure M below the threshold (M = 0.7) and were therefore used to derive the specific normalization factor (NF) for each RNA sample as reported [ 30].
