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The main model predicts gene transcription levels, the auxiliary model specifies RNA half-lives.
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The main differences are that our model predicts a higher gain at the lowest frequencies, due to the presence of the additional integrator, and it predicts a lower amplitude and a greater phase shift at very high frequencies, compared to the Angelaki data.
The model predicts all the main features of the evolution of the toughness/yield strength compromise with changing quench rate or ageing treatment.
Specifically, the model predicts that the main function of ferritin is to operate as an extremely fast, high-capacity, iron buffer that maintains mobile iron concentrations (cLIP) until transcriptional or translational regulatory processes occur (e.g. changes in ferritin synthesis).
The model predicts that genetic growth potential is the main driver for achieved growth of infected hosts when nutrient availability (N) is high (Figures 4A C).
The model predicts the conversion of anisole and the formation of the main products well.
The dashed lines then show what the model predicts.
Accordingly, although some theorists have raised concerns, main theoretical models predict that these secondary symptoms will reduce as PTSD symptoms reduce or may even underlie reductions in PTSD symptoms.
For the main well vascularized axis, the model predicted that one single apical meristem larger than its neighbouring laterals, was enough to generate a taprooted system.
The main effects binary logistic regression model, predicting the odds that a patient reported definite confidence and trust in the doctor, is shown in table 2. Although increases in all seven interpersonal aspects of care predicted increased confidence and trust, the ORs associated with these seven aspects differed significantly (likelihood ratio test, p<0.0001).
Table 4 shows the main results of the linear regression model predicting the intention to delay sexual intercourse.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com