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In our model experimental variables related to the number of available ultrasound machines and the necessity of an extra consultation influenced the cost-effectiveness most.
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In our model the experimental variables related to the number of US machines in combination with an extra consultation affected cost-effectiveness the most.
We found the CPD for PC2 remained similar when a reduced model of experimental variables was used, containing 6 coregressors rather than 19 – a constant term for each trial type, an indicator variable for the chosen action (L-R), the action value difference between left and right options, and the chosen value.
A forward model, given the experimental variables, predicted the time course of the Cl− current after immersion of the cilium in a bath containing Ca2+.
In this study, we compared available toxicogenomic data assessing the impact of the known teratogen, methylmercury (MeHg) across a diverse set of in vitro and in vivo models to investigate the impact of experimental variables (i.e. model, dose, time) on our comparative assessments.
The response surface method and central composite design techniques were used to design the experiments and to model the results, with the experimental variables being the bowl speed (G-Level), air fluidising pressure and the feed rate.
This in vitro model was performed to simplify experimental variables and to isolate different components and study them in well-controlled and reproducible conditions.
For main Figure 3C, a regression model was estimated containing 19 coregressors to model out the effect of all experimental variables (see Supplementary file 1 for a full list), plus the regressor of interest (trial-by-trial weights of PC2, derived from PCA decomposition of LFP from a simultaneously recorded electrode in another part of DLPFC).
An artificial neural network (ANN -based dynANN -based for an experimental variable speedynamict expansion (DX) air conditioning (A/C) systemodel been developed, linking the indoor air temperature and humidity controlled by the DX A/C system with the variations oforompressor and supply fan spexperimental
The common influence of experimental variables is modeled by connecting a virtual node, whose time course reflects stimulus onsets, to the sensory or "input" region in all subjects.
This would introduce multiple experimental variables into the model that would allow false conclusions to be drawn [51].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com