The effective genome size (EGS) for each metagenome was estimated according to the method developed by Raes et al. [ 37], using the constants a =18.26, b =3650, and c =0.733.
In the process of exploring a, only a few studies have directly considered the potential information content of the normalization constant b [3] [6], and unexplored potential for using the normalization constant b to depict biologically important information remains.
Models based on simulated datasets will demonstrate that there is great potential for using the normalization constant b as a simple measure for characterizing environmental variability that seems typical of comparisons involving the allometric scaling relationships observed in different sets of biological data [12] [15].
In this paper, for example, we always used the constant background (L b = 0 in Eq. (14)) and the single-exponential kernel (L w = 1 in Eq. (13)) with τ 0 = 0.9 T, where T is the last time point in a time series.
The constant a can be viewed as the standard metabolic rate, whereas the constant b is a scaling constant describing the rate at which energy use increases with increasing swimming speed and the constant x, often called the speed exponent, describes the curvilinearity of the relationship between swimming speed and energy use.
Furthermore, they used the constant (C_{NJ}^{(p)}(mathcal{B})) to establish some new equivalent conditions for the uniform non-squareness of a Banach space (mathcal{B}).
We used the constant comparative analysis technique.
The constant b-roll partying scenes get tiresome.
A possible future modification of RI modeling includes the incorporation of regional variations in the b-value (Wiemer and Schorlemmer, 2007), whereas in the present study, we used a constant b = 0.9 for all testing regions.
