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For the forest dominated scenarios, the model predicted more stable hydrology (less flashy) with lower average flows.
The model predicted more than 23,000 square kilometers of cooler tropical waters around the world, where sunlight and nutrients were still intense enough for kelp to flourish.
For example, our model predicted more than 60% glucose yield can be achieved by treating an equal part blend of energy cane, corn stover, and switchgrass with alkali pretreatment at 120 °C for 14.8 h.
In general, the three dimensional model predicted more heat generation than the porous-electrode theory model at large discharge rates due to the wider distribution of physical and electrochemical properties.
When modeling larval settlement as a function of distance from the Island to coastal reserves and monitored fishing areas (case c), for any period from 1 4 weeks the model predicted more settlement at northernmost sites (Sandy/La Cholla) (Fig. 3).
Furthermore, the Vertebrate model predicted more false positives than did the Purpuratus model.
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The model predicts more efficient doctors should be more likely to be offered a partnership.
The only difference is that at early times, the ECM model predicts more extensive boiling conditions.
On the other hand, the gravity model predicts more or less the same range of area in every hazard zone.
Model updating techniques are used to update a finite element model of a structure so that an updated model predicts more accurately the dynamics of a structure.
The numerical results are well consistent with tissue slice experiments and moreover, our model predicts more corticomedullary osmolality gradient in outer medulla than previous influential 1-D simulations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com