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Logistic regression models were fitted for each species and from these models we determined the threshold tree height at which 85% mortality occurred, H85.
Using discrete-time probabilistic models, we determined quantitative probability ranges that transmissible variants with 1 5 mutations and transmissible re-assortants evolve after a given number of zoonotic IAV infections.
Before obtaining parameter estimates and comparing models, we determined the optimal threshold for each possible model.
Using agent-based models, we determined how social vigilance affects socio-spatial properties of primate groups.
To further quantify autophagy induction in our cell line models, we determined endogenous LC3B puncta by confocal microscopy.
Using these models we determined that purifying selection has a dominant role across subfamily 1 nitrilases (ω = 0.04) (Table 1).
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Comparing the coated sphere theory to two generic disordered core-shell models, we determine wavelength domains in which specific information can be extracted.
After extracting the energy models, we determine the energy and power laws, as showed in Figure3. Figure 2 The methodology of OS energy characterization.
Using a combination of human variation databases and existing animal models, we determine 22 KMTs and KDMs as additional candidates for dominantly inherited developmental disorders.
Using finite element models, we determine the dispersion relations and band gaps for the propagation of elastic waves in the undeformed and fully deformed stable configurations.
In these last models, we determine the perturbations in the transcriptomic profiles afforded by ATRA.
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