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As Greenland continues to melt, which it's doing at a speed far faster than any of the computer modeling predicted, the production of icebergs will actually increase.
In silico molecular modeling predicted the structure of Tn-AFP1 as a single coil attached by a unique disulfide bond.
Molecular modeling predicted the binding of pentamidine to the transmembrane pore region of Kir4.1 at aminoacids T127, T128 and E158.
Molecular modeling predicted the unsaturated sulfone 7 was thermodynamically more stable than the higher conjugated sulfone 6 and this was confirmed by the isomerization of 6 to 7 at room temperature under mild basic conditions.
The RSM modeling predicted the optimal operating conditions to be the pressure of 29.6 MPa, temperature of 68 °C, CO2 flow rate of 2 ml/min, dynamic extraction time of 108 min, methanol concentration of 46.5% in water (v/v) in which the maximum recovery of 54.4% was obtained.
Computational modeling predicted the physical appearance, derived from hair growth rate, biologic rhythms, and mental state for human remains from the Roman period.
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The model predicted the observed vancomycin concentrations with reasonable precision.
For instance, no forecasting model predicted the impact of the current economic crisis.
As Dr. Couzin's model predicted, the human swarm made a quick, unconscious decision about which way to go.
The quadratic model predicted the optimal levels of the variables.
But the modelling predicted the way that the time delay is introduced, too.
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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