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It turns out that evolutionary computing methods present good performance in handling phased array design problems [7, 8].
Moreover, the two methods present good concordance.
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Their proposed GA method presents good performance in dealing with such problems.
A comprehensive validation of the developed method was conducted, and confirmed that the method presented good sensitivity, precision and accuracy.
We used only Gaussian approximation to show that, for this purpose, this simpler method presents good results.
The proposed method presented good linearity (coefficient of determination R2>0.99) and repeatibilty (1 25%) for all the compounds under study.
The results show that the proposed hybrid directional step method presents good robustness and more efficient computation in practical application.
The method presents good performance even with noisy images and is robust to different acquisition conditions (illumination, camera settings, shadow, etc).
Under the optimized experimental conditions the method presents good level of repeatability with coefficients of variation under 6% (n = 8; spiking level 10 μg L−1).
In Figure 7, the high value of the standard deviation in most of the methods can be observed; this indicates that each method presents good results in some cases and bad results in others.
According to the authors, liposomes formed by this method presented good physicochemical characteristics and a higher encapsulation efficiency was obtained with pressures up to 20 MPa, temperatures of 323 to 338 K, and ethanol mole fractions of 5%to15%5% in scCO2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com