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In each part of the analysis, we employed the SLID longitudinal weights, which are designed to generate estimates that are representative of the population of Canada's 10 provinces at the time the longitudinal sample was selected.
In this part of the analysis, we employed the backbone FunCoup network with transcripts altered in our microarray.
For the global spatial analysis, we employed the location provided by the users within their profiles.
Hence, for our analysis, we employed the Δ932 940 and W932A mutant yChd1 proteins.
For inter- and intraobserver reliability analysis, we employed the intraclass correlation coefficient (ICC).
For preprocessing and general linear model analysis we employed the SPM5 software package (www.fil.ion.ucl.ac.uk/spm/) implemented in Matlab 7.1.
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In our analysis, we employ the most commonly used food consumption indicator, i.e., the "food consumption score (FCS)".
To capture the energy efficiency perspective in the analysis, we employ the energy consumption index (ECI) from EARTH project [15].
In this particular analysis, we employ the Internet traffic model with an average packet arrival rate of packets/sec, corresponding to a data rate of R = 441.72 kbps.
Therefore to facilitate and simplify the analysis, we employ the STDL model in this paper to study the capacity of a UWB system with PPM and PAM over indoor fading channels.
In our analysis, we employ the classical time-hopping PPM (TH-PPM) [7], and the signal format is described by x ( t ) = E b N s ∑ i = 0 M - 1 g t - i T f - c i T b - d i / N s Δ t (1).
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