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To exemplify this model; the prediction of miR-19a after therapy for a high-risk BC patient, the predicted serum level of that miR is 1/{0.60941 + 0.09981} ≈ 1.410 (see parameter estimates from Table 1B).
When we enter this into our statistical model, the prediction is that the Conservatives will obtain 361 seats (55.6percentt of the seats) — see the figure below.
Based on the model, the prediction of the controller-to-actuator (CA) delay in the current sampling period is obtained.
Compared with the prediction method of flow stress using the Zerilli Armstrong model, the prediction method using the BP artificial neural network had higher accuracy.
Based on the established model the prediction of springback was done in the phase of tools design and hence the drawn part accuracy was increased.
Using the new hydrophobic model, the prediction error of contact angle can be less than 3% compared with the measured one.
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In the PS09 model, the prediction-model coefficients have been revised on recent data; the model still includes all those subsets by using age, a transformation of ISS, GCS, gender, and Gender × Age interaction as predictors [ 9].
According to the model prediction, the first whorl grows carpels, and the second whorl grows stamens.
where R is the model prediction and the set {A i } constitutes the model parameters.
In order to evaluate the coherence of the two types of models, the forward prediction model and the backward prediction model, we used the predictions of the forward prediction model as an input to the backward prediction model and compared the resulting predicted values with the actual values.
The model prediction coincided well with the biological observations confirming the validity of the model.
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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