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Statistics: Logistic regression was used to develop a model with extubation failure as the outcome and change in DT delta fraction), RSBI, E/e', E/A, fluid balance 24 hrs and other patient covariates as predictors.
Motivated by a real life case, we develop a model with positive lead times to control the replenishment quantities of the items in the kit, and study the performance of (s, S) policies under a service objective.
The motivation for the research is to develop a model with low computational demand so that it can serve as a basis for a model based controller that is able to keep pollutant concentrations under legislation limits.
Here we develop a model, with special reference to signal transduction cascades of bacteria, which predicts that in the face of ecological opportunity and lateral gene transfer, selection will favour modular genome architectures because such architectures minimise the pleiotropic effects associated with accommodation of potentially beneficial foreign DNA.
Logistic regression analysis was performed to quantify the net effect of hypothermia on admission to the ICU on 28-day mortality and to develop a model with predictors.
It is typical to develop a model with a single membrane location of the peptide based on data from the previously described approaches and the known peptide structure.
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Yan et al. (2014) developed a model with two complementary products.
(Lysak 1997, 1999) developed a model with a fully height resolved ionosphere to investigate the wave coupling under these conditions.
Classification is implemented by developing a model with existing records by using sample data.
This paper developed a model with not only the sectors of the market economy but also with social reproduction and leisure activities for men and women separately.
This study developed a model with literature values for variables and, where no values existed, used large error bounds to recognize uncertainty.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com