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In eye/head-velocity neurons and about half of gaze-velocity neurons in the caudal FEF, our results indicate that discharge modulation during passive head-on-trunk rotation was predicted well by linear addition of neck proprioceptive responses and vestibular responses (Fig. 8 G, H ).
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The average particle rotation speed was predicted with considerations of particle size, average particle collision velocity, particle collision rate and particle number density.
Multiple regression revealed that mental-rotation performance was predicted by perceptual speed and stimulus type (female or male stereotyped) but not by the perceived stereotyped nature or the perceived familiarity of the stimuli.
Because passive head-on-trunk rotation activates both vestibular and neck afferents (Fig. 1 E ), we asked whether the discharge modulation during head-on-trunk rotation (VOR ×1) was predicted by the sum of modulation due to vestibular and neck velocity responses.
It was predicted that anticlockwise rotations between 251° and 901° applied at the basal end of the array (on the right side) significantly reduce stress trauma on the BM which support the practice of applying small rotation partway through insertion of electrode array to minimize damage to the BM.
We perform an analysis of the kinetics of grain rotation: assuming that its rate is limited by grain boundary diffusion, we obtain very good agreement between the observed and predicted rates and the rotation rate is predicted to be very sensitive to the grain size.
A wandering of the rotation axis had been predicted by Swiss mathematician Leonhard Euler in 1765.
Minimum stirrer rotation speeds can be predicted by the evaluation of two diagrams for the drag of fluidized particles as a function of the concentration and for the pressure-head volumetric flow rate characteristics of an agitated vessel.
For most planets the rotation period and axial tilt (also called obliquity) are not known, but a large number of planets have been detected with very short orbits (where tidal effects are greater) and will probably have reached an equilibrium rotation that can be predicted.
Importantly, the visuomotor rotations could not be predicted in any single trial and required 'online adaptation', since the mapping from hand to cursor changed all the time.
The analysis of semi-rigid connections requires the calculation of the moment-rotation curve (Mj-ϕ), which can be predicted using the Finite Element (FE) method.
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