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To solve this problem, a new queueing model is proposed in this paper that adopts three kinds of vehicles velocities (free flow velocity, slow flow velocity and jam flow velocity).
Dot motions differed in velocity: slow (S), medium (M), and fast (F).
Four within-subjects factors were considered as sources of variability: Task (implicit, explicit), Stimulus (dot, human), Direction (up, down), and Velocity (slow, medium, fast), resulting in a total of 192 trials (8 replications per condition).
The present study analyzed the effect of moving visual stimuli, differing in shape (dot vs. human demonstrator) and in velocity (slow, medium, and fast speeds), on the kinematic features of a pointing task performed after the display of moving stimuli.
To these aims, we compared voluntary imitation performances to the motor features of pointing tasks both executed after the display of moving visual stimuli, differing in velocity (slow, medium, and fast speeds), in kinematic (biological vs. non-biological) and in shape (dot vs. human demonstrator).
For the lower velocity (slow), eight of 52 trials in the OMT group were excluded due to inattention or fuzziness.
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A higher end-to-end throughput consequently makes the packet velocity slower.
Wave dispersion can make the phase velocity slower than the non-dispersive.
During the later stage of the fusion process the site expansion velocity slowed down by two orders of magnitude.
Notice also that the eastward drift velocity slowed down after 1830 UT, as can be seen in Animation 1.
During the latter stage of the fusion process the site expansion velocity slowed down by two orders of magnitude.
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