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This categorisation is based on the Risk of Malignancy Index (RMI) calculation 2 This model calculates a score which is the product of the value of the CA 125 (U/ml), a score for menopausal status (1 if premenopausal and 3 if postmenopausal) and a greyscale ultrasound score of 0, 1 or 3 where 1 score is given each for bilaterality, ascites, multilocular, solid areas and intra-abdominal metastases.
The FiveThirtyEight model calculates a national poll average, using a more sophisticated method than the simple average I've taken in the chart.
Using this technology their model calculates a 47 73 % self-consumption.
The model calculates a saliency map by considering intensity and edge orientation information from a given image.
The model calculates a progressive reduction in structural properties with increasing size of microvascular channels due to increased ply waviness, which was confirmed using experimental property data.
Once the entrainment rate has been computed, the model calculates a new flow height due to the scouring by adding in a cumulative manner the entrained material.
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The first part of the model calculates an optimal steam injection rate (Eq. 1).
The model calculates an optimal aperture flux that maximizes the local efficiency, constrained by a maximum receiver working temperature.
The model calculates an estimated environmental concentration (EEC) in the water column that could be released from the rice paddy.
For each CDS, the model calculates an index that represents the likelihood that CDS will have a dinucleotide composition compatible with that of the core genes.
A random-effects model calculated a small summary effect size of 0.039 955% confidence interval −0.013 to 0.092).
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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