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Next, we compare the performance of algorithms at two different target locations.
The first was an encoding maze during which subjects learned eight olfactory or eight visual cues at different target locations.
Participants performed simultaneous reaching movements with the left and right hand from same and different starting locations to same and different target locations.
We combined the attentional maps for each of the 18 target locations for each subject into a unique composite display to identify common principles of attentional organization for different target locations.
Most intriguingly, the passive viewing of uninformative number symbols can shift visuo-spatial attention to different target locations according to the number magnitude, i.e., small/large numbers facilitate processing of left/right targets, respectively.
This indicates that MCA and NNK have different target locations in lung tumorigenesis.
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Furthermore, Fig. 8 shows the CRLBs of the location estimates vs. SNR at six different target node locations that are represented by triangle marks in Fig. 7. Solid lines represent the CRLBs corresponding to the RIPS-u and dashed lines correspond to that of the RIPS-sq.
Coverage comparisons of the different target set locations were done using BEDTools v.2.6.0.
Table 2 displays the horizontal illumination of the road surface at target locations under different road lighting intensities: Table 2 Horizontal illumination of the experiment point in different lighting levels Illumination of target point (lm/m2) 100%2.871%1.649%1.4% 100%2.871%1.649%1.4
The simulation set is created with all chromophore concentrations and diffusion perturbations in the same location with different target values.
The second set is more complicated with concentrations for HbO2 and HbR in the same location with different target values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com