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First, we define the fuzzy decision of a sample by using the concept of fuzzy neighborhood.
Finally microstructure study has been performed for the optimal sample by using optical microscope.
To reject the residual vibrations, the probe tracks the sample by using a displacement sensor for feedback control.
Furthermore, we obtain the 2D mapping image of the leaf blade sample by using the ellipsoidal capillary we designed.
It quantifies class membership probability to each unlabeled sample by using a well-designed soft assignment technique.
This study estimated the prevalence of growing pains in a well-designed sample by using a validated instrument of measure.
Thereafter, the reaction was carried out with the spent sample by using the same reaction conditions mentioned in "Experimental section".
Cytocentrifuge slides were prepared from each sputum sample by using a cytospin machine (Shandon, Inc., Pittsburgh, PA).
Table 4 summarizes some characteristics of the networks obtained for the uniform sample by using FNCA and LPA.
Therefore, we investigate this sample by using CL and UPS in order to confirm the quantum size effect.
Subsequently, local currents were detected at the surface of the sample by using the scanning vibrating electrode technique.
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