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Thus, using a simplified path loss model and denoting by P R thr the SU receiver sensitivity threshold, as determined by hardware specifications, the transmission range R T i m of node i over channel m can be estimated as: R T i m = d 0 a P ( i ) P i, m G t G r P R thr · c 0 4 π d 0 f m 2 1 η (1).
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For example, for an asymmetric Gaussian delay model, and denote the uplink and downlink variances, respectively.
Considering the possible energy consumption flow at R k from a statistical perspective, which is called as an on-off model and denoted by (acute {S_{i}}).
We assume a block fading channel model and denote with Hk,j t), t=0,1,…,T−1, the multiple-input multiple-output (MIMO) channel matrix of size N×M between BS j and UE k in block t.
We call the model given in Eq. (1) as full model and denote its sub model as M α, where (alpha = alpha_{0} cup alpha_{l}), α 0 = {0} denotes intercept and α l denotes a non empty subset of (left{ {1,2, ldots,k - 1} right}).
In a scenario with noisy communication links, simply modeled as binary symmetric channels (BSCs), the decision sent by the th sensor can be flipped with a probability corresponding to the cross-over probability of the BSC model and denoted as [18].
In this work, we use the latter model and denote it by BM energy model.
Together, they regulate the expression of lineage-specific downstream genes, which are not further specified in the model and denoted by Mac (x5) and Neut (x6).
These figures can be interpreted as the positive and negative predictive values of the model, and denote a moderate ability to predict CD and an excellent ability to rule it out.
This is an important aspect of students' interpersonal self-efficacy (i.e. the beliefs in one's future professional expertise as a physician) that was recently established as relevant to learning communication skills among medical students [ 24] Low frustration tolerance (LFT) is a concept rooted in rational-emotive behavior therapy (REBT) models and denotes an irrational thinking pattern.
Let and, respectively, denote the optimal solutions of the objective function from the expectation model and the new hybrid model, while and denote the violation degrees against all constraints of the expectation model and the hybrid model, respectively.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com