Consequently, it can use a similar approach to build the Markov chain model for duty-cycle MAC protocol of a saturated node to obtain the relationship between p s and p f because of low duty-cycle MAC protocols used the same factors like IEEE802.11 protocols to quantify the QoS parameters.
Subsequently, this method was applied to human cells using the same factors or a different combination in a lentivirus vector (Oct4, Sox2, Lin28 and Nanog) [2] [5].
Therefore, we compared the results of Experiment 1 and Experiment 2 directly using the same factors as in the separate analyses of those experiments – modality (vision or haptics) and size (same or different) – but with the addition of transfer (unimodal – i.e., Experiment 1 – or crossmodal – i.e., Experiment 2) as a between-participants factor.
Secondly, in order to test for the impact of alexithymia on affective priming and valence of primes and targets, RM-MANCOVA was carried out using the same factors as above and additionally including scores on the alexithymia questionnaire TAS-20 as a covariate.
The permutation test used the same factors generated from our human PBMC training set.
Next, we examined GAG accumulation using the same factors used to test for type II collagen change.
In the scenarios where the AMS is selectively used, the same factors are the most influential in the sensitivity analyses.
We used the same factors excepted for atopy, replaced by self-reported history of physician-diagnosed allergies.
We used the same factors generated in the original training set, but randomly assigned samples to either the training or validation sets (100 permutations).
We used the same factors to correct traveller and general population rates, which were then applied to the traveller population aged 15 years and over in 2008 and the general population aged 15 years and over in 2006, respectively.
