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In the context of the transformation method, we propose a general approach to construct numerically the mapping generated by imposing specific boundary conditions with a targeted function, and the necessary material and heat source spatial distributions are then derived with the help of transformation method.
By using the Runge-Kutta algorithm and Riccati transformation method, we study the dynamical properties of a class of two-order neutral delay nonlinear models and establish some new sufficient conditions.
From the model transformation method, we have the Leibniz-Newton formula of the form begin{aligned} &0=x t -x bigl(t-tau(t) bigr)- int_{t-tau(t)}^{t}dot{x}(s),ds, end{aligned} (3.1) begin{aligned} &0=x t -x x bigl t-taumatau(t) bigl t-tau_{t-gammatau(t)}^{t}dot{x}(s),ds, end{aligned} (3.2) where γ is a given positive real constant.
The transformation method we selected is therefore well within a plausible range.
Following our decision on the choice of the transformation method, we accomplish a comparative study of ICA-based RotBoost accuracy performance against other ensemble and an independent single classifier system including AdaBoost, Bagging, Rotation Forest, single tree, and SVMs.
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Independent of the transformation method, when dsRNA was present we obtained successful nematode control in some transgenic lines, suggesting that silencing the Pv010 gene orthologous to C. elegans prp-8 is very effective in controlling root lesion nematodes.
The second method we introduce is the linear transformation method.
We apply the transformation method to the T-cell model.
To express heterologous genes in KY3, we followed the transformation method for K. marxianus[ 24].
To express heterologous enzymes in KY3, we followed the transformation method for K. lactis (Sánchez et al., 1993).
The deletion cassette was transformed using the protoplast transformation method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com