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Constructing novel biological systems that function in a robust and predictable manner requires better methods for discovering new functional molecules and for optimizing their assembly in novel biological contexts.
Thus, if a strategy allowing for consistency in aggregate formation could be developed, it should be possible to define conditions which allow these aggregates to self-organize in a robust and predictable manner.
Synthetic biology is an emerging engineering discipline that attempts to design and rewire biological components, so as to achieve new functions in a robust and predictable manner.
The TSST has been shown to evoke a robust and predictable response curve for subjective distress, heart rate, blood pressure, cortisol, and ACTH (Kirschbaum et al. 1993; Singh et al. 1999).
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The observed broadening and stabilisation of the activity of the confined protein individually addresses each of these issues and allows for a more robust and predictable activity of the resulting therapeutic.
However, independent studies demonstrated some inconsistencies in the effects of these markers [ 11, 35, 36] which necessitates additional investigations so that such markers can be deployed in maize breeding in a more robust and predictable manner.
The study provides evidence that contrary to the robust and predictable performance of a neural network in an organism there exists substantial inter-individual variability in a task specific tuning of topological and cellular properties.
Thus, it is an important challenge to integrate such data and determine at what level it is meaningful to look for general patterns that are robust and predictable on a global scale, to investigate what these patterns mean in terms of function and phenotype, and what the main components that govern these patterns are.
Teicoplanin aglycone columns allow efficient separation of amino acid enantiomers in aqueous mobile phases and enable robust and predictable simulated moving bed (SMB) separation of racemic methionine despite a dependency of the adsorption behavior on the column history (memory effect).
And the high correlation coefficient, (R2) shows that the model was reliable, robust and predictable.
The difference is that Facebook's advertising business is much more robust and predictable, as is its user growth, while Snap's advertising business is still a work in progress.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com