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By increasing samples hydrophobicity, contact angle hysteresis and adhesion increase.
Its objective is to enhance the reliability of latest measurement by increasing samples numbers.
However, the existing attribute reduction algorithms with VPRS have no incremental mechanisms of handling dynamic datasets with increasing samples, so that they are computationally time-consuming for such datasets.
It can be seen that, the gap between the two methods is diminished with increasing samples which indicates that the SMI method using large number of samples may provide satisfying performance.
With the grafted polymer content increasing (samples 6 and 7), a heat of the exothermic process at 100 200 °C decreased with extremum shift towards high temperatures (Fig. 4, curve 7), which may be due to compaction of the polymeric layer grafted to the surface.
Alternatively, our results suggest that because the bias introduced by PS may not be as significant as once feared and that performing genome-wide association studies in admixed populations may be a reasonably strategy in increasing samples sizes to maximize power to detect associations.
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With increasing sample conductivity, the PD(A/H) will increase.
The fatigue strength apparently increases with increasing sample temperature.
The error decreases with increasing sample thickness and increases with increasing sample permittivity, gap width, radius of the electrode corner.
Under any sampling design the relative gain in efficiency decreases with increasing sample sizes.
Therefore, with increasing sample sizes, our chances of finding dR > 0 are increasing too.
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