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Once the interval is fixed, we can calculate the number of false methylcytosines that would not change the methylation level, e.g. the methylation level would stay within the error interval.
For two false methylcytosines, the methylation level would be (17 2)/21 = 0.714 which lies within the error interval of 0.81 0.1 < 0.714 while 3 false methylcytosines would lead to a methylation level of 0.67 which lies outside the tolerated error interval.
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The model predictions fall within the error intervals b ± 1.3 Δ and b ± 2.4 Δ, respectively (Table 5 and Table 7).
This validation exercise allowed us to demonstrate that the proposed reformulation of the TCD, which is based on the use of simple power laws, is capable of accurately assessing the static and dynamic strength of the notched un-reinforced concrete being tested, with the estimates falling within an error interval of ± 20%.
However, for all genetic parameters, the subsample estimates were located within one standard error interval of the estimates obtained from the entire sample (Table 4).
In particular, the proposed method correctly predicted failures in the medium-cycle fatigue regime, allowing the high-cycle fatigue estimations to fall within an error interval of about ±20%.
Our method proved to be capable of estimates characterised by the usual level of accuracy shown by the TCD when used in other ambits of the structural integrity discipline, that is, of predictions falling within an error interval of about ±20%.
The predictions thus obtained were found to be highly accurate, falling within an error interval of about 15%, independent of specimen thickness, notch geometry and applied load type.
A statistical error analysis has been performed to test the model, which indicated that approximately 88% of the data lie within a ±10% error interval.
The results showed that only fatigue data from notch root radii, normalized with respect to the net cross section of the specimen, smaller or equal to 0.01 can provide estimates of ΔKth within an error interval about 20%.
Such an extensive validation exercise allowed us to prove that the proposed reformulation of the TCD is successful in predicting the dynamic strength of notched metallic materials, this approach proving to be capable of estimates falling within an error interval of ±20%.
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