On the basis of this seismic pattern, we divide the Atotsugawa fault into eastern, central, and western sections as shown in Fig. 1(c).
To illustrate these patterns, we divided participants using a median split into groups of frequent manga readers while growing up (N = 14, mean frequency M = 6.57 out of 7) and infrequent manga readers (N = 14, M = 3.14) and depict this in Fig. 6.
To further clarify the spatial patterns, we divided the study region as countries, reporting zones, and biome types.
Then, to detect specific expression patterns, we divided consecutive reads within these loci into blocks using blockbuster (with parameters: -distance 30, -minBlockHeight 1, -minClusterHeight 50, -scale 0.5) (Langenberger et al., 2009).
To identify such patterns, we divided the midline of the animal to 20 equi-length segments, and quantified the fraction of time spent in quiescence by the individual angles between pairs of segments, during the period from mid L4int to the mid young adult stage.
To investigate this pattern further, we divided our original data set into CpG and non-CpG coincident SNPs and repeated the analysis as above.
As implied by the patterns in the figure, when we divided the 11 year study period into 22 six month intervals, the median plasma HIV-1 RNA concentration and the HIV-1 incidence were correlated (Spearman correlation coefficient 0.48; P=0.024).
Based on the basic design patterns within Facebook, we divided β (the metric of contagiousness) into two forms: β –passive which results from observed behaviour and β –active which results from direct invitations or proactive, intentional contact from one user to another.
According to the patterns of distribution we divided metabolites into 3 key clusters (Methods), grouping together metabolites with similar levels of accumulation across RIL (Additional file 1).
To visualize the spatial patterns of shear contributions, we divided the entire wing into a fixed grid of non-overlapping boxes, sized 26 μm × 26 μm.
