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However, to increase the number of nodes contributing to the network reconstruction, we used a higher replication number (500) (Fig. [2](#F2){ref-type="fig"}). Even with this data set, our search for the most parsimonious network only resulted in the tree shown in Figure [2](#F2){ref-type="fig"}. Reconstruction of the three-gene phylogeny ------------------------------------------ Bayesian inference (BI) is a formal probabilistic method for phylogenetic reconstruction. BI infers the most likely tree (species tree) based on a set of DNA sequences, by approximating a marginal likelihood of the tree (or gene tree), and finding the tree that maximizes the marginal likelihood. A bootstrap value indicates the degree to which the observed data supports the tree (Santos et al. [@B40]). BI software, MrBayes version 3.1.2 (Huelsenbeck and Ronquist [@B16]), was used for tree reconstruction. We used MrBayes because it can accept input trees with different levels of gene duplication (Fitch et al. [@B10]). Analyses were run with two independent runs of four chains for 100,000 generations with a sample frequency of 50. Likelihood values were sampled every 1000 generations. The first 25% of the samples were discarded as burn-in, leaving 800 trees for each run. A bootstrap analysis was performed on the remaining samples of trees from both runs. For the bootstrap analysis, the same software and parameters were used, except we only used a total of 25 runs. The first 25% of the trees were discarded as burn-in, leaving 800 trees for each run. Unlike previous studies (Boussau et al. [@B2]; Thomassen et al. [@B47]; Marais and Gresham [@B26]; Gresham et al. [@B12]; Guella and Thorne [@B13]; Mable et al. [@B24]; Khan et al. [@B20]), we used the REV+GTR+I+Γ substitution model and variable rates across sites, as recommended by Messer and Goldberg ([@B28]) for a well-supported phylogeny of viruses. These analyses rejected the Tamura-Nei+Γ (TN93+I+Γ What's New In? 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Thirty consecutive patients were treated with AOP for > or = 2 hours (mean +/- standard deviation, 9.7 +/- 4.5 h) and then cardioverted. Electrical cardioversion was performed using 50 J/10 Hz biphasic shocks. In 15 patients (group 1), there was a > or = 10% decrease in ventricular response and/or successful cardioversion. In 15 patients (group 2), there was a > or = 10% increase in ventricular response and/or unsuccessful cardioversion. The patients of group 2 were restarted with AOP. The mean AOP current at the time of cardioversion was 0.71 +/- 0.19 mA and the mean duration of AOP was 12.3 +/- 3.7 h. 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