Exact(3)
Hereafter, (a wedge b) for (a, b in mathbb{R}) represents the smaller value between a and b.
As shown in [8], the smaller value between t r and T s should be used to calculate the actual transmitted data volume.
As a result, the actual number of released nodes, N_R, will be the smaller value between MAX m r and the number of remaining nodes to be released in RE m (i.e. N _ R = min { | R E m |, M A X m r } ).
Similar(5)
where α is a fixed parameter, m represents the total number of channels, and C i represents the number of free channels available to node i. P i (t) is the smallest value between ( kalpha frac{C_i}{m} ) and 1.
A smaller value for between-trial variability might fit our data if other features of the model were adjusted.
Values between 0.20 and < 0.50 are considered as small, values between 0.50 and < 0.80 as moderate and ≥ 0.80 as high [ 26].
The edge weight is defined as, (1) where the first term is Euclidian distance of the two vertices, and g I in the second term constrains that the edge weight between bright voxels will have smaller value than that between dark voxels.
At smaller package diameter, NTRs with relatively smaller value of Y (between 20 and 25) lead to satisfactory winding giving suitable traverse ratios.
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