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Comparatively, RNG and RNG BIT models have successfully predicted the averaged flow field.
3D models have successfully modelled wetland dynamics but depend on very detailed bathymetry and land topography.
Agent based models have successfully been applied for the petrochemical industry, e.g. for supply chain problems.
Bingham plastic, Herschel Bulkley and Carreau Yasuda models have successfully been applied for modeling the magnetorheological properties of nanofluids.
Computational approaches using genome-scale models have successfully identified genetic modifications while considering their global effects on metabolism.
The obtained results proved that while the standard model failed against the attacks, both the proposed models have successfully prevented the wireless DoS and replay attacks.
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We allowed backbone sampling for residues 488 498, and selected the lowest energy closed loop; about 5% of the models had successfully closed N-lobe loops.
Use of physical models has successfully contributed to our understanding of a wide range of biological topics, with the study of animal behavior benefitting from physical models since at least the field's earliest publications.
These results are also consistent with the previous results, where the proposed models unlike the standard model have successfully prevented the DoS attacks.
According to the above results, we can see that both SCP-M and SCP-O proposed models, unlike the current 802.11 model, have successfully prevented wireless DoS attacks.
Ekins and his colleagues by using machine learning models and molecular modeling have successfully identified from collection of 2320 compounds 3 promising anti Ebola compounds with in vitro nanomolar activity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com