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Enhanced and variation less threshold voltage and mobility of dual-k underlap FinFET due to of better screening of longitudinal field and pronounced volume inversion effect, are studied in detail.
Both SITA algorithms demonstrated slightly less threshold agreement and larger between-subject variability when compared against the Full threshold algorithm.
There was less threshold crossing over 0.1 N with the motorized tool compared to Hifocus 1J electrode insertion tool and the forceps manual technique.
Both SITA algorithms had less threshold agreement (group mean RMSE) and larger confidence intervals across all visual field regions when compared to Full Threshold.
Both SITA algorithms had less threshold agreement (group mean RMSE) and larger confidence intervals across all visual field regions when compared against Full Threshold.
As sectors increase in eccentricity from fixation, the group mean RMSE increased indicating less threshold agreement within an algorithm across visits 2 and 3.
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In order to avoid this problem, a less restrictive threshold, i.e., μglobal, is used instead.
Those samples with amplitude less than threshold would not be used in model extraction.
A less conservative threshold can be also obtained by using the central limit theorem.
To increase the sparseness of H s, elements of H s, which are less than threshold, are rounded to zero.
Both sets provided a similar general pattern but the effect was more prominent for the less stringent threshold.
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