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In addition, for elected incumbent senators who are running for another term, the model considers their previous margin of victory relative to the overall partisan climate at that time.
The term the model uses for these key states is tipping point states, meaning that they could tip the balance between winning and losing in an election that came down to the final vote.
The second term, the model error, can be approximated via Taylor series expansion: (17 where τ ε is the typical time scale of the error ε.
When %Inhibition against FVO strain P. falciparum was the response term, the model showed a strong effect for adjuvant (FA had on average 2.9037 times higher %Inhibition responses than ISA-720, p<0.003) but affect of antigen was not significant (p = 0.185).
To determine the impact of this nonlinearity, the sensitivity of the Goodwin models (single-loop, EP, and EI) was compared, with the original nonlinear degradation term (the model form denoted Partially Linear Degradation, PLD) or after converting this term to a linear degradation term (Fully Linear Degradation, FLD; the linearised model equations are presented in supplementary material).
The CBN dynamics is hidden by an observation process; we therefore term the model hidden CBN (H-CBN).
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For subsequent analyses, we termed the model best supported by the data the 'base model'.
Every microtubule has one of its ends in the same point in space, which point is termed the model centrosome; the other end is free.
In computational terms, the model is composed of three modules.
In statistical terms, the model featuring narrow personality traits performed better.
With only zeroth or first-order terms, the model cannot predict motion.
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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