Briefly, the 1st principal component (i.e., the direction along which the miRNAs show largest variation) and the 2nd principle component (i.e., the direction uncorrelated to the 1st component along which the miRNAs show the largest deviation) were shown to capture the clustering structures.
The primary source of these deviations is shown to be related to intermittent deactivation of metathesis pathways which transform the newly added monomer into a chain end capable of further propagation.
For the particular example, the relative deviations are shown to be in the neighborhood of 5% for a 600 × 600 lattice and a density scale of about 0.1.
Whichever hand was used for SA estimates, long-lasting lateral deviations were shown to the same side of our brief LP task, without change in accuracy.
Furthermore, for small strain and linear isotropic elasticity, the deviation, TH−TN, is shown to be quadratic in the differences between the principal values of the stress tensor and −pF.
The dependence of experimental and model data root-mean-square deviation on the F10.7 index is shown to be nearly linear.
And higher standard deviation is shown due to the increased difference of T1 and T2 caused by higher replacement ratio of slag, which leads to lower safety index.
The mean magnetization is shown to converge to a stable value when the sampling period is reaching 105 MCS, and the standard deviation of the mean is shown to be described better with an equation from Kikuchi and Ito.
The DAR method is shown to be quite robust; however, other methods of standardizing streamflow, such as standardizing flows by means (SM) or normalizing flows with means and standard deviations (SMS), are shown to be superior for a subset (∼42%) of sites.
The standard deviation of the DAL over the uncertain parameters-box is also addressed, and a method to minimize this standard deviation is shown.
