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To test the robustness of the modular structure obtained above, we implemented the standard (but computationally expensive) LOO-CV technique by removing a node and its corresponding interactions from the data to predict the changed module distribution.
In conventional rotor profile generation for the twin-screw compressor, the designed parameters are often decided by trial-and-error method and cannot distinctly predict the changed difference when adjusting one of parameters.
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With advanced climate models, we can predict the changes.
The method can be used to predict the change in the cutpoint when using porous substrates.
Moreover, the model was applied to predict the changes of nutrient with different species in SH.
We can predict the change in the naturalness of vegetation based on the spatial changes in the land cover pattern.
The trend line is used to predict the changes in y with the changes in x.
Thus, it is difficult to accurately predict the changes that will occur postoperatively.
Many do not have the internal resources to track the new regulatory changes, much less predict the changes that are coming.
KF will not be able to predict the changes in direction of motion of the human, whereas the CMKF will.
It also fails to predict the change of sign during the deceleration phase in the solitary wave profile.
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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