We propose modeling this situation as a scheduling problem, and then present specific heuristics for its solution.
Therefore, to model this situation correctly, the DFT with LDA and a double-ζ-polarized basis set were applied [22].
A typical way to model this situation is the linear logistic model: Pr ( y = 1 | x ) = 1 1 + exp ( - β ′ x ), (3).
To more accurately model this situation, Tg2576 neurons (which accumulate Aβ intraneuronally) were cultured in the presence of extracellular Aβ.
We sought to model this situation in the laboratory, by growing C. gattii on plant substrates, and then examining its virulence in a murine model of cryptococcosis.
To experimentally model this situation, Tg2576 neurons (which accumulate substantial amounts of intracellular Aβ) and wildtype neurons received daily treatment with soluble, monomeric Aβ for 6 days.
In modeling this situation, we re-ran our method on the curated data set, using as filter vocabulary a subset of the publications in each individual's manually curated publication list.
To experimentally model this situation, we have exposed cultured neurons from Tg2576 mice (which accumulate substantial amounts of intracellular Aβ) to daily treatment with exogenous Aβ1-40 for 6 days.
We modelled this situation in the analysis of the changes of gene expression in macrophages following exposure to hypoxia.
To model this situation, I evaluated the efficacy of using H3K4me1 and H3K27ac collected in mouse hearts to predict known human heart enhancers.
