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A new simulation approach is presented in this paper for the generation of ensembles of spatially correlated accelerograms such that the simulated motions are consistent with (i) a parent accelerogram in the sense of temporal variations in frequency content, (ii) a design spectrum in the mean sense, and (iii) with a given instantaneous coherency structure.
However, when BLASTing difSL on ε-proteobacteria genomes, we discovered a difSL homolog presenting all key features of a dif motif, i.e. (i) located near to the peak of the cumulative GC skew, (ii) present in non-coding regions and (iii) with a low G+C content (Table 2).
The success of national pandemic preparedness strategies may depend on providing appropriate H5N1 pre-pandemic vaccines (i) in a proactive controlled manner (ii) that induce immunologic memory and demonstrate cross-reactivity in the whole population, including the elderly, and (iii) with a proven safety profile.
This paper has sought to address issues (i), (ii) and (iii), with a particular emphasis on (i).
The MHC is composed of 250 genes subdivided into three classes (I, II, and III) with a strong linkage disequilibrium (LD) spanning the region.
The schematic overview of this mitogenome shows three unassigned regions (indicated as I, II and III) with a length of 394, 181 and 189 nt, respectively.
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Figure 5B (upper panel) shows that the initial approximately 4 s of tethered attachment had two segments of LCh orientation (i and iii) with an intermediate RCh segment (ii).
In this order, the core component with tions may also found a grouping of the studied tissues into those (i) with output-dominated TRNs (prostate, testis, brain, ovary and liver), where SRinput < SRcore << SRoutput, (ii) with a symmetric TRN (heart, spleen), where SRinput ≅ SRoutput > SRcore and (iii) with an input-dominated TRN (kidney), where SRinput >> SRcore > SRoutput (Fig. 4b).
Three systems models relating performance to cumulated training bouts have been tested: (i) with a single component for adaptation to training, (ii) with two components to distinguish the adaptation and fatigue produced by exercise bouts, and (iii) with an additional component to account for training-related changes in exercise-induced fatigue.
The results of a BLAST analysis of the clonally selected A/H1N1 isolates are shown in Table 2. Based on the phylogenetic relationship, the clones were assigned to three groups (I, II, and III, with letters a, b, c, and d marking individual clones within a group).
Although positive selection would accelerate non-synonymous mutation rate in a short period, in the long term, especially for duplicated genes in Group II and III with such a large divergence, dN is possible to use as an index of evolutionary time.
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