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Conversely, earlier data have demonstrated that the natural agent C. verbenacea displayed an anti-inflammatory activity linked to a vital protective effect on the gastric mucosa, and very low toxicity in acute models of experimentation in rats when systemically or topically administered [ 27- 31].
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As noted by one commentator, "the "lean start-up" model of experimentation and fail fast may not be appropriate under conditions where the ethics of playing with people's lives may be at the heart" (Bessant 2016).
In models of animal experimentation it was possible to diminish the degree of retinal neovascularization with use of indometacin [ 18], dexamethasone [ 19], rofecoxib [ 20], and bucillamine [ 21], and increased activity of cyclooxygenase 2 (COX2) was also demonstrated in vessels of neo-proliferation in retina and its inhibition decreases the neovascularization in 37% [ 20].
It draws on gradualist theories of political change, like Karl Popper's concept of "piecemeal social engineering" and John Dewey's model of democratic experimentation, rather than grand utopian project of overnight solutions.
The model now opens up great opportunities for hypothesis-driven research, combining theoretical models and novel types of experimentation, especially given the recently acquired ability to generate artificial, replicable soil-like microcosms on which to test model predictions.
Additionally, the posterior probability density evolved by the GA provides a parameter sensitivity analysis as well as a guide to experimental design which significantly assists in the development of accurate models with a minimum of experimentation.
The main topic of this paper is modeling the expected value of experimentation (EVE) for discovering causal pathways in gene expression data.
Today, however, the mouse model is the mainstay of experimentation in the skeletal metastasis field.
Dehaene summarizes two decades of experimentation and modeling in attempts to understand consciousness.
To obtain this library of model structures a huge amount of experimentation in environmental chambers will be required to determine how the structures vary over the enormous input space.
For systems described by ordinary differential equations, sensitivity analysis can identify interactions or species (i.e., genes or proteins) which most strongly dictate the behavior of the network output [ 16], ultimately guiding the next iteration of experimentation and model development.
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