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Paulin [ 64] developed a computational physical model estimating the movement status, useful for trajectory tracking and trajectory prediction; Paulin concluded that the cerebellum is not a motor control device per se but a device for optimizing sensory information about movements.
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We present a methodology entitled Device Thrombogenicty Emulator (DTE) for optimizing the thrombo-resistance performance of PHV by combining numerical and experimental approaches.
Numerical study of gas liquid flow in a wet-type desulphurization absorber is presented and the influences of different inlet and deflector structures on the device performance are identified for optimizing its structure.
Here we present a theoretical analysis of these devices and a procedure for optimizing their design.
The experimental results with different parameters and layout structures of these LTPS thin-film devices have been evaluated for optimizing ESD protection design for liquid crystal display (LCD) panel.
The reported study contributes for the improvement of simulation models that can be extremely useful for predicting the acoustic effects of new materials in fluidic devices, as well as for optimizing the transducers and matching layers positioning in a fluidic structure.
The difficulty, however, lies in the incorporation of CNT films into such devices, because the anisotropic CNT films of submicron to micron scales need to be manipulated for optimizing the device layout.
For optimizing the device, outlet reservoirs with diameters of 1, 3 and 9 mm were employed.
The magnitude of modulation depends sensitively on the position of the local perturbation, implying that a precise molecular design is necessary for optimizing the device performance.
In this case, a better understanding of the role played by the fluctuations of QW thickness, and composition on the optical properties of the InGaAs/InAlAs heterostructures, is highly desirable for optimizing the device performance [38, 39].
These facts evidence the possibility of carried out film strain engineering for optimizing optoelectronics devices as we propose for the case of thin-film solar cells.
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