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Considering the abovementioned, we summarize the costs of buffer-aided relaying in the following remark.
Due to the abovementioned, we aim at low-complexity suboptimal algorithms which can be easily implemented in practical systems.
Considering the abovementioned, we aim at controlling the data traffic and resource allocation, by addressing the following stochastic optimization problem: begin{array}rcl@ && max_{boldsymbol{a}^{0},boldsymbol{x,p}} sum_{k=0}^{K} mathcal{U}left overline{a}^{0}_{k}right), end{array} (4a).
Based on the abovementioned, we are able now to define the instantaneous problem (with the objective and constraints stated in terms of the instantaneous values of the variables) and study the algorithms for solving it, which will be presented in the next section.
Third, and critical to the novel point abovementioned, we are used to discussing epistasis in the context of its effect on survival and reproduction only.
(ii) Following the similar encoding strategy abovementioned, we can also determine the signs of x and y according to the base at the second codon position, and determine the absolute values of x and y by the bases at the first and third positions, respectively.
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From the abovementioned studies, we note that the two streams we focus on rely on similar assumptions.
To address the abovementioned problem, we need a reference frame where we will find the uncovered background for the current MB once that region is evidenced.
In order to overcome the abovementioned problems, we introduce a novel idea in VISTA, where we identify MO on a node and only send the information about MO without sending image data.
We would like to make clear that by making the abovementioned distinctions, we do not intend to disregard the suffering of individuals with any of the disorders used in this study, nor do we claim that individuals with these disorders do not have a disease.
In order to confirm the abovementioned analysis, we will present our experimental data in Cole-Cole form, as we will see in the next section.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com