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In predictive coding, there are two kinds of descending predictions (shown in Fig. 9).
A good agreement between the experimental results and the theoretical predictions shown in part I [1] is found, together with determination of limitations on the delamination position offset with respect to the actuator sensor pair position.
Not only are the predictions shown to be in good accord with the experiments, but the model also contributes to the understanding of the extrusion process by identifying the variables and parameters to which the system is most sensitive, and thereby becomes a potentially powerful design tool.
Also the distributions of the AGB predictions shown in Fig. 5 are close to each other.
The predictions shown in Fig. 11a are for the balanced merit function.
Because of this, we've expanded the number or predictions shown in Japan to as many as eight (when Instant is on).
Similar(40)
Two predictions show good agreement.
Gross power generation predictions show good potential.
"Our internal predictions showed 10%to15%5%, so this is at the top of the range," she said.
Model predictions show reasonable agreement with experiments.
Burnout predictions show good agreement with measurements.
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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