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Supplemental Figure 1 (see Figure S1 in Additional file 1) shows the relation of the probability of collision with the distance between the two particles at different D (circles: D = 50 μm/s; stars: D = 100 μm/s).
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The analysis by MAR-FINDER is based on the integration of the frequency of the motif in a defined sequence in relation to the probability of their random occurrence in the same sequence.
Figure 1a shows the probability of RDS as predicted without fetal lung maturity tests in relation to the probability of RDS that was calculated after taking into account the result of the LBC.
When considering the whole dataset, it is clear that being a migrant has a significant relation to the probability of experiencing overeducation: migrants are 10% more likely to be overeducated than native workers.
Whilst the vmPFC patients adjusted their betting in relation to the probability of winning and losing to the same degree as healthy controls, the insular cortex lesion group were less sensitive to the odds of winning.
The relation of the logit probability to representative utility is sigmoid, or S-shaped.
Contains details of the relation between the probability of being best and the area under the curve (AUC).
The second interesting result is a relation between the probability of conservation of the non-consensus nucleotide and the probability of transition from a non-consensus state to the consensus state.
The main complication is that target specificity in eq. (11) is defined in terms of connection probabilities and the relation of connection probability with the number of synapses is nonlinear, see eq. (1).
This is done by means of a logit relation of the river flow probability of exceedance with the soil moisture indicator.
IRP refers to the inverse relation between the probability of p which may range over sentences of a given language (as in Bar-Hillel and Carnap) or events, situations or possible worlds (as in Dretske)—and the amount of semantic information carried by p (recall that Poe's raven, as a unary source provides no information because its answers are entirely predictable).
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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