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Exact(30)
Cueing effects for specific combinations of target eccentricity and hand alignment were only significant for outer targets with hands aligned [see the error bars in Fig. 2C; inner targets, inner hands, t(21) = 0.7; inner targets, outer hands, t(21) = 1.9, p =.07; outer targets, inner hands, t(21) = 0.5; outer targets, outer hands, t(21) = 4.7, p <.001].
However, unlike here, the interference for visual targets was not modulated by hand alignment (though see Spence, Pavani, & Driver, 2004, for a one-handed within-hemifield modulation of visual tactile congruence effects).
Thus, cueing effects will depend on the current hand alignment.
Figure 2B plots the cued-side advantage for each combination of target eccentricity and hand alignment.
Planned t tests explored the cueing effects for each target eccentricity and hand alignment.
The effect of hand alignment on the spatial cueing of inner targets was unreliable.
Similar(30)
Multiple alignment of coding regions was done using ClustalW [50] followed by hand alignments before removal of all gaps.
On the other hand, alignment-free network comparison methods aim to quantify the overall topological similarity between networks, irrespective of node mappings between the networks, and without intending to identify any conserved edges or subgraphs.
On the other hand, alignments that are too short do not yield reliable signals for secondary structure conservation.
On the other hand, alignments are more likely to be correct for higher levels of pairwise sequence identity; and are less likely to be correct in the so-called "twilight zone", where the sequence similarity is low [ 16].
These revealed that the significant ANOVA terms above were due to outer-target cueing effects being significantly larger when hands were aligned with targets [ t(23) = 3.6, p =.002], whereas inner-target cueing effects did not reliably differ between hand alignments [ t(23) = 0.4].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com