Exact(2)
To verify the analytical predictions, this work also builds up a time-variant model of the same system under the conventional inertial frame.
In order to maximize the confidence in the model predictions, this work employs a set of different modeling approaches of varying complexity, including a semi-analytical model, a sharp-interface vertical equilibrium (VE) model and a TOUGH2-ECO2N model.
Similar(58)
For template-based modeling in the CASP8 Critical Assessment of Techniques for Protein Structure Prediction, this work develops and applies six new full-model metrics.
To improve inter-patient similarity measure for HCC co-occurrence prediction, this work aims to establish a PubMed-supported approach for estimating more precisely the conditional probability p i.
The findings of this study reveal that the predictions of this work are much accurate than those obtained from the existing empirical correlation.
The findings of this study reveal that the predictions of this work are much accurate than those obtained from the existing empirical correlation (about 10%).
We are grateful for the hint to the Ruvinsky & Meyuhas article that supports some of the predictions in this work.
The predictions from this work should be should be interpreted accordingly, but it would be reasonable to expect, given the current state of knowledge on ASF in Africa, that another set of experts' average suitability estimates using the same set of criteria would be likely to fall between the 5th and 95th percentiles of our own.
This was verified by the prediction of this work as shown in Figure 3.
Based on the analysis in [4, 6], we selected the Exponential Moving Average (EMA) load tracker, to be used for load prediction in this work.
In terms of brain dynamics, the theoretical prediction of this work is that oscillations in different parts of epileptic brain networks have different degrees of "excitability" due to their proximity to a bifurcation into a different oscillatory dynamic regime.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com