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Unweighted auxiliary nodes, locally refining the network model, allow one to capture the complexity of the connections between weighted end-nodes.
The results of the model allow one to make a prediction about the probability of a non-GSU household switching to GSU water and the probability of a higher amount of GSU water being sold during the dry season compared with the volume sold during the rainy season as determined by characteristics of non-GSU households and GSU managers, respectively.
Both the Kaplan-Meier method and the Cox proportional hazards (PH) model allow one to analyze censored data [ 1, 19], and to estimate the survival probability, S t), that is the probability that a subject survives beyond some time t.
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A simple thermodynamic model allows one to predict αHD and peq on the basis of (1) the isotopic exchange equilibrium constants, (2) the plateau pressures of the pure isotopes, and (3) the composition.
Therefore, the model allows one of two immunization strategies based on risk level: (a) immunizing the entire population (i.e., universal vaccination) or (b) targeting at-risk individuals.
Analyzing markers together in a regression model allows one to consider the impact of markers on other markers; a weak effect may become more visible when other causal effects are already accounted for, and a false signal maybe removed by the inclusion of a stronger signal from a true causal association.
The model allows one to investigate the role of different factors on the film stability.
Assuming the application is provided with enough knowledge on the current traffic conditions, the model allows one to assess the suitability of various transmission power configurations.
The model allows one to calculate precisely the headstock's indices on the basis of which its optimal operating characteristics can be determined.
Analyzing variables together in a regression model allows one to consider the impact of one variable on another, the hope being that a weak effect may become more visible when other causal effects are already accounted for.
It has been shown that the model allows one to predict the effect of the strain rate on the cyclic lifetime and to take into account a phenomenon of void healing in the compression semi-cycle.
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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