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A schematic description of these metric levels (hereafter named metric classes) in the time/metric domain is shown in Figure 1 and Figure 4. Figure 4 Projection of musical cues (metric classes) onto the dance trajectories.
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As in B- and P-networks both B- and P-centrality were consistently increased, the correlation between the two metrics would suggest that cues for one metric could be used as a reliable proxy of the other [21].
While objects and other visual cues can change the metric of perceived space, the results presented in these three experiments demonstrate that attentional distribution can also modulate location perception, suggesting a dynamic interaction between the form of space, the representation of objects, and attention.
This resource sharing pair is formed on the basis of PF metric value of CUEs and the interference level between the pair.
For resource allocation to DUEs, eNB calculates the PF metric values of CUEs and each D2D pair as follows: lambda_{c,n}^{S_{j}} = 1 + frac {r_{c,n}^{S_{j}}} {R_{c}^{S_{j}}} (4).
Moreover, the proposed resource allocation scheme has computational complexity of (Oleft (N_{C} times {N_{K}^{2}}right)) for computing PF metric values for all CUEs on all subchannels.
Taking one's cue from other scientific disciplines, a metric for complexity based on the performance of the load paths through the structural scheme is proposed.
We identified significant increases in phase-amplitude coupling between baseline and cue periods, measured using the PLV metric, in medial parietal cortex, extending into the posterior parahippocampal cortex (peak at [32; −66; 16], Z-score = 3.81, baseline PLV = 0.35 ± 0.0059, cue PLV = 0.38 ± 0.0059, Fig. 3).
It is also not clear if, for example, olfactory cues within an environment can serve as metric input to the hippocampus for the generation of spatial representations.
Calibration concerns (a) the deviation of a person's judgment from fact, introducing notions of bias and accuracy; and metric issues regarding (b) the validity of cues' contributions to judgments and (c) the grain size of cues.
show that grid patterns are initially determined by sensory cues but self-correct with experience to form the globally coherent pattern required of a spatial metric.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com