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ANOVA results indicate that the designed model is strongly significant (P value < 0.0001).
Some of these applications require that the designed network has a unique stable equilibrium point [2].
Hence, it is significant that the designed neural networks are globally robustly stable.
The results also clearly indicated that the designed fluorescent aptasensor embraced to be highly specific.
Safety audit is to verify that the designed project meets security requirements.
It also shows that the designed model reasonably represents the features of a real reservoir.
So, it can be concluded that the designed compounds can be potent antitubercular agents.
Numerous results demonstrate that the designed filter can effectively suppress the jamming and noise.
Our simulations demonstrated that the designed device can be utilized as SRAM and DRAM.
It can be seen that the designed filter meets the specified requirement.
This figure shows that the designed framework produces the best results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com