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It can predict the flux distribution of engineered cells, whereas the accurate prediction depends on the reasonable objective function.
It can predict the physical properties of materials by assuming an interacting potential between particles.
It can predict where the empty powder sacks landed when Maximilian's executioners threw them away after loading their muskets.
It can predict the DSS situation through measuring the temperature profile at the Transportable Storage Canister (TSC).
It can predict the frost heave ratio in the freezing direction based on the freezing rate and the constraining stress.
It can predict the risk of falling.
It can predict health status, survival and hospital costs.
It can predict a dichotomous outcome using independent variables.
It can predict physiological responses to intervention and compute previously unmeasurable haemodynamic parameters.
It can predict potential O-GlcNAc/Phos sites when linked to the NetPhos, which can recognize phosphorylated sites.
It can predict the risk of future disability and, therefore, may be useful in identifying people in the preclinical stage of sarcopenia who may benefit from interventions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com