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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.
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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.
Comparatively, RNG and RNG BIT models have successfully predicted the averaged flow field.
Computational approaches using genome-scale models have successfully identified genetic modifications while considering their global effects on metabolism.
Bingham plastic, Herschel Bulkley and Carreau Yasuda models have successfully been applied for modeling the magnetorheological properties of nanofluids.
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.
Nonlinear and linear regression models have successfully shown accurate estimates of DBH using crown width or a combination with tree height [54, 121].
The researchers said that "epidemiological models" have successfully described the 'vast spread and eventual fade out' phenomena underlying both 'ideas' and 'diseases'diseases
Currently two animal models have successfully recapitulated developmental abnormalities similar to those found in patients with OFCD and Lenz microphthalmia.
More recently, Bayesian models have successfully accounted for multisensory integration in a variety of contexts [46], [47], [48], [49], [50].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com