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The HEVC encoder consists of prediction, transformation, loop filters, and entropy coder, which are the same cores as the prior hybrid video coders.
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Prediction of transformation, typically from plexiform neurofibroma, is clinically and histologically challenging.
An incremental mean-field model is developed for the prediction of transformation induced plasticity (TRIP) in multiphase steel.
The model is designed in such a way that the carbon redistribution during bainite formation is accounted for, leading to prediction of transformation kinetics both with and without of carbide precipitation during bainite formation.
To this end, complementing experimental analysis with computational prediction of transformation products could be a powerful strategy to enhance the discovery potential of analytical experiments, as it has been suggested by several previous studies on experimental detection of biotransformation products [ 9– 13].
Unexplained residual variability for PSA kinetics was modeled using an exponential residual error model, written as an additive model for the log-transformed PSA observations and predictions (log-transformation both sides).
This issue applies mostly to the purely prediction-driven transformations that do not have sufficient experimental evidence to confirm the predicted effect (so-called "amplified" transformations).
For example, prediction-based transformations provided more than 1,000 hits for the Permethrin molecule, whereas experiment-based transformations provided only 25.
The prediction-based transformations produced significantly more hits and in most cases increased the effectiveness compared to the experiment-based transformations.
It is apparent that prediction-driven transformations provide significantly more hits than experimentally-based ones.
For each endpoint, we demonstrate the additional knowledge gained from the prediction-driven transformations and the practical value of such knowledge for the molecular optimization procedure.
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