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The hierarchical Bayesian model we have used is grounded in the fundamental mathematical and computational imperatives for adaptive biological systems like the brain (Friston et al., 2006), and also makes very specific predictions about both its functional anatomy and the kinds of measurable responses it should generate (Friston, 2005 b ; Garrido et al., 2009).
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In order to develop a clinically relevant rotary blood pump, a combination of theoretical, experimental, and computational techniques is imperative.
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Here we focus on characterizing the computational generality of modular imperative agent-based modeling.
Moreover, due to the massive amount of data that is usually involved in CBIR, compact descriptions are imperative when computational resources are limited.
As biologists increasingly rely upon computational tools, it is imperative that they be able to appropriately apply these tools and clearly understand the methods the tools employ.
These allow the convenient use of this computational paradigm in commonly used imperative languages.
In the context of SARS outbreak and our new knowledge of pandemic flu genesis it becomes imperative to produce computational signatures: of the anti-infective targets, of the successful targets against chronic disease, and of the ligands capable of being viable leads.
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Scholars examining this trend tend to diagnose it at once as techno positivist in its insistence on design yoked to quantifiable variables and computational modeling and, alternatively, as an imperative integral to realizing ecologically sustainable innovation.
It is therefore imperative to develop efficient computational methods to infer effective drug combinations in order to reduce the labor-intensive, time consuming trial-and-error experiments.
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