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The relation between the annual bias and RMS with latitude for the models is not obvious, and a latitude dependency between the models could not be detected.
An additional possible experiment to get a more conclusive choice between the models could be the use of partially deuterated OA and MO, for example, deuterating the carbons in the tail end (C11 to C18).
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Because important biological differences still exist between animal models and humans that could significantly impair drug discovery [ 11], although the models could usually recapitulate many of the key features in physiology.
In part, the differences observed between these models could be due to a lesser degree of hypertrophic remodelling in the AAB model here compared with the SHR model or may imply that the increased reliance on glucose oxidation is a later event in the progression of hypertrophy.
The presence of lignin was modelled using linear discriminant analysis (LDA), where the model could distinguish between high and low lignin content with 88% accuracy.
We calculated the area under the receiving operator characteristic (AUC) to test whether the model could discriminate between the test localities and 10,000 localities randomly selected from across Taiwan.
We also evaluated how well the model could distinguish between presence and absences (model discriminatory power) using calculations of the Area Under the Curve (AUC) of a Receiver Operating Characteristic Plot [ 43].
Overall, the ACS model was statistically significant with a χ2 value of 192.8 (4 degrees of freedom, N = 15806, p < 0.01) indicating that the model could distinguish between frequently readmitted patients and non-frequently readmitted patients.
Now, the model could distinguish between product-level (i.e., within-category) effects and category-level (i.e., between-category) effects of healthiness, which were estimated separately in the regression analysis.
The model could be anywhere between Venezuelan socialism and Swedish social democracy.
The model could find a compromise between trends of the COI and RCs via, for example, time series cointegration.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com