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By analogy to other phytochrome and CBCR systems, we modeled this as arising because of an inhomogeneous ground state rather than bifurcation on a homogeneous population on a excited-state surface.
We modeled this as low-pass filtered version of target acceleration, reasoning that high frequency changes in acceleration would be essentially unpredictable.
The negative charge of the acrylic acid monomer is located in the carboxyl group and we modeled this as CN2 where "N" represents a negative charge of -0.5.
We modeled this as an instantaneous displacement from the spatial coordinates for entity i at time t (u it ) to those at time t+1 (u it +1).
We implemented one calibration point, at the root node of Dryopteris, and modeled this as a lognormal prior with mean 2.0, stdev 0.5, and offset 35, in order to approximate the mean and 95% HPD intervals for the root of Dryopteris (42.4, 53.4-32.2 ma) found by Sessa et al. [ 16].
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Therefore, we modeled this density as an ATPγS molecule.
We sought to model this property as well.
We model this scenario as follows.
Our model adjusts for this as well.
In this paper, we model this as a sequential decision making Markov Decision Problem (MDP).
We model this as the following set of necessary conditions that must be satisfied by any feasible solution.
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