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Both two methods exhibit good adaptability in discriminating adulterated milks from raw cow milks.
Compared to conventional zeolite-modified electrodes, the nanozeolite film modified ones (nanoZMEs) prepared by these methods exhibit good membrane morphologies with controllable thickness in nanometer scale and large zeolite/electrode contact areas due to the nanoscale zeolite film attached directly to the electrode.
These methods exhibit good sensitivity, broad dynamic range and are capable of detecting all AIVs subtypes.
Overall, our experiments demonstrate that ML methods exhibit good levels of precision, but suboptimal recall.
The results indicate that our methods exhibit good performance in terms of completing and inferring gene association networks with time-varying structures.
The sufficient statistic method exhibited good effect on sequential parameter learning in the text.
The analytical method exhibited good accuracy with percent recovery of 99.25 to 101.59%.
The proposed method exhibited good results for QF80 and SF0.8, which are common parameters for video scaling.
The electrochemical method exhibited good performance for geosmin removal under various conditions.
Furthermore, the proposed method exhibited good recovery and stability, indicating its potential for use in clinical studies.
The method exhibited good sensitivity, good selectivity with a limit of detection of 0.2 ng ml−1, and a wide linear range from 0.25 to 32 ng ml−1.
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