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For ORFs below 2,000 bp we employed the phase 1 strategy.
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Different from our previous study, we employed the evacuation-repressurization cycles to BP-treating scaffolds.
Reference tissue model: To estimate the binding potential (BP*ND) of the radioligand in each brain region, we employed the original multilinear reference tissue model (MRTMO) [11].
We employ the following assumptions.
We employ the same approach here.
We employed REPUTER for the identification of the repeats, which are > 30 bp using a Hamming distance of 90.
A BP algorithm employs the momentum parameter,, to scale the influence of the previous step on the current.
In this paper, we adopt the queue model employed by the back-pressure algorithm in [12] to combine OR with BP and employ the differential queue backlog as our routing metric.
We employed 4000 bp as a window to detect the presence numbers of EcoRI and BsaXI recognition sites.
In this study, we employed ambulatory BP monitoring to allow for more precise estimation of the magnitude and the time-course of blood-pressure effects, in addition to office BP measurements.
In order to use MP, OMP, and BP for blind detection, MP-SA, OMP-SA, and BP-SA employ the two-step procedure, described in detail in Section 4, to compute the metric at each path of the tree.
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