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High RI (37 45 ms− 2) was recommended to maximize heat transfer alone, whereas lower RI (16 19 ms− 2) was found optimal for simultaneous optimization of heat transfer & RI.
In all these configurations, the hidden layer with 200 neurons was found optimal.
Therefore, the system described above with no additional base was found optimal.
A soft noise reduction filter with a cutoff frequency of 0.6 to 0.7 cm−1 was found optimal.
Evaporation rate of 0.4 g/cm2 was found optimal for making monoliths in cylindrical enclosures of different sizes for experimentation.
Principal importance of pH on the efficiency of the systems containing ferric citrate was found (optimal pH near 3).
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This temperature has been found optimal for removal of nonspecific nanoMIPs [5].
A four-layered backpropagation neural network with an input layer, two hidden layers and one output layer is found optimal.
Generally, 64 and 96 updates were found optimal for LEHR-125 MBq designs, which is consistent with our earlier result [12].
This temperature has been found optimal for removal of nonspecific nanoMIPs [5]. Figure 4 Contour plot of the yield of MIP nanoparticles.
For reconstructions without PSF or TOF, three iterations were found optimal for both systems for the higher background-to-hot sphere ratio.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com