Sentence examples for orientation of current from inspiring English sources

Biophysical modeling approaches generate testable predictions regarding the impact of interindividual variations in cortical anatomy on the injected electric fields or the influence of the orientation of current flow on the physiological stimulation effects.

From this analysis, it can be suggested that the electron separatrix is a more important boundary than the magnetic separatrix, responsible for the changing of the orientation of current flow, the enhancements of the electron pressure tensor and of the out-of-plane electron velocity, all of which occur at the electron separatrix.

Given the orientation of current policy, it is noteworthy that there has been relatively little research into the processes by which industry actors seek to influence policy.

It also gives useful information about the outcomes of the dental career of former students as an important tool for orientation of current students.

Thus, for switches within sequences from a single, (V) or (H), orientation to a superimposed (VH) stimulus, adaptation alone would explain the resulting dominant representation of the newly added orientation (instead of both of the current orientations).

On Earth, lava takes on the magnetic orientation of the current magnetic field as it solidifies.

For the single-satellite solution, an additional uncertainty is due to the unknown orientation of the current sheet.

They concluded that the individual orientation of previous, current, and future owners of a family business might be the key to those differences in performance of such businesses.

Special feature is the upside-down orientation of the current leads because of the location of the power supplies in the basement of the experimental area of W7-X.

Additionally, the method was extended for polycrystalline wires of tungsten using a special cut-off algorithm, which deals with variable etching speed for various crystallographic orientation of the current grain.

Assuming that the position of the target in the current input sample remains unchanged, the deep network estimates the probability (pleft ({{g_{j}} = j|{{mathbf {u}}_{(n,m)}}} right)) of the orientation of the current input sample belonging to the orientation index j, where g j is the j-th output unit of the network and the u (n,m) is the m-th input sample of the n-th block (group).