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Continuous ROC curve analyses were used to assess the predictive values of modelled K and hCGres in the Model data set.
To study the issues arising when multimodal imaging data sets are combined a model data set concerned with induced tumour haemorrhaging was studied.
If the model data set does not have a molecule similar to the one submitted, the confidence in the predicted value decreases.
To create a model data set mouse fibrosarcoma tissue was visualised via magnetic resonance imaging (MRI), Matrix-Assisted Laser Desorption/Ionisation-Mass Spectrometry (MALDI-MSI) and histology.
Two examples data sets were used to demonstrate the use of smoothing by regularization: a model data set constructed by adding random errors to a sine curve and global mean temperature data from the NASA Goddard Institute for Space Studies.
The test results from the CFRP of the current study allow for the derivation of an experimentally based orthotropic continuum material model data set that is capable of predicting the mechanical behaviour of CFRP under hypervelocity impact.
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Fig. 4 Orbit tracks of the first modelling data set used for the single-day approach where the red section presents geomagnetically quiet data only (Robinson projection).
As applied here, the coefficients were re-estimated using the current modelling data set.
Our method was evaluated by two types of model data sets.
When developing a prediction model, data sets having sufficient size are required.
For the calibration of the proposed model, data sets collected from Copais Greecee) were used.
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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