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Remote sensing-assisted estimates of aboveground forest biomass are essential for modeling carbon budgets.
While such simulations are sufficient for rapid design and for predicting root mean square properties of the beam, large-scale simulations are essential for modeling the tails of the beam.
Nevertheless, simulations presented here demonstrate these non-linear regulatory properties are essential for modeling the network level regulation that maintains the robustness of a biological system.
The most recent SBML Level 3 release introduces extension packages and is required to include qualitative models (qual), groups, and layout information in the document, which are essential for modeling signaling pathways.
Robust computational algorithms are essential for modeling and development of diffusion distillation technology; these are indicated.
The thermodynamic properties of food as a function of pressure and temperature are essential for modeling high-pressure processes.
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An understanding of burial/thermal geo-histories of Taranaki Basin is essential for modeling hydrocarbon generation.
Disentangling seed dispersal and survival processes is essential for modeling recruitment patterns in the case of distance-dependent survival.
Then the parameter estimation is essential for modeling biological systems.
This model can handle an anisotropic point light source, and is essential for modeling a light with hard directivity like an LED [3].
4-D light field (Fig. 1 d), which presents light field by 2-D directivity × 2-D spatial distribution of light sources, is essential for modeling actual lighting environments.
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