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By incorporating theoretical studies and looking at the underlying factors that favor or undermine certain governance models, we attempted to reduce the problem of overgeneralization from a limited empirical basis.
Informed by our studies suggesting that MCs augment DENV-induced vascular leakage in animal models, we attempted to block this vascular leakage using a panel of these drugs.
From the analysis of the literature and with reference to the more widely accepted theoretical models we attempted a description of the categories of impact more frequently measured, focusing on the indicators and metrics for each category.
Finally, using the random-effects meta-regression models, we attempted to predict risk levels based on study attributes, including the years in which the study was performed, as well as PM2.5 and temperature levels.
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Motivated by several papers on smoothness [ 26, 28, 30, 31] in BSS models, we attempt to further improve the EM-NMF algorithm by enforcing local smoothness both in the frequency and temporal profiles of the NMF factors.
By means of molecular modelling we attempted to get informations towards comprehension of differences in activity.
Using the model, we attempted to reproduce the diversity in the results of the LES model used in van Zanten et al. (2011) and to determine impact of the various cloud microphysical schemes.
Using this relationship between the parent monoclonal and the recombinant antibody derived from it as a model, we attempted to identify those residues responsible for this change in fine specificity.
Based upon the activation of TG2 in the fibroblast wounding model, we attempted to demonstrate injury-induced TG2 activation in vivo.
To validate our model, we attempted to replicate findings from the biochemical literature.
With the fourth model we attempted distinguishing between HNSCC at the two different sites: larynx and pharynx.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com