Your English writing platform
Discover LudwigSuggestions(3)
Exact(11)
We assume that d ¯ is relatively large and the existence of this assumption does not affect our results thus far.
We firstly use three basic structures as input of graph G to obtain the corresponding propagation speed ν and then calculate the corresponding propagation power F. Here, to simplify the simulation, the time taken for a node to infect another node is assumed to be 1 (this assumption does not affect the results).
As stated above, this assumption does not affect the estimate of a genotype's fitness.
Results show that this assumption does not affect the resonant properties of this neuron.
This assumption does not affect the sensitivity, as FP does not occur in the equation, but it affects the PPV.
These results also serve as a robustness check for our model, as this assumption does not affect our main results.
Similar(49)
As regards faithfulness, we show that violations of this assumption do not affect the predictive powers of causal models.
Sensitivity analysis found that this assumption did not affect the study results.
However, time-varying graph assumption does not affect the existence of steady state.
Such assumption does not affect overall authentication efficiency comparisons in our simulation model [11, 12, 25, 27 30].
This analysis confirmed that the violation of the proportional hazards assumption did not affect the reliability of our results.
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