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Third, our models follow STAR type division of the regression space both in the conditional mean and in the conditional variance with an expectation that this approach provides improvement in the modeling and forecasting capabilities as will be evaluated in Sect. 4.
The absence of Pcdh15-CD2 affects mature auditory transduction but not vestibular transduction, both in patients and in the conditional knockout mice, showing that the function of Pcdh15-CD2 in the inner ear is conserved between mice and humans.
We analyzed the fate of replication intermediates at this specific location by 2D gel analysis in WT cells and in the conditional lethal strain GAL::URL-HA-SEN1 in which Sen1 can be rapidly depleted in glucose medium.
In addition, this study proved that PPG, as well as homocysteine and methionine, increase cystathionine and homocysteine levels in the cells and in the conditional medium, which might result in an intensification of desulfuration processes.
These data found further confirmation in two other HD mouse models showing increased striatal BimEL in R6/1 mice at the late stages of disease and in the conditional model Tet/HD94.
In the multivariable generalised estimating equation model there was a reduced risk of ovarian cancer for ever use of oral contraceptives compared with never use (OR=0.58, 95% CI: 0.37, 0.91), and in the conditional logistic model there was a similar inverse association; however, it was not statistically significant (OR=0.52, 95% CI: 0.23, 1.17).
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There was no difference among genotypes, again indicating the normal amount of basal anxiety and fearfulness in the conditional knockout mice.
Moreover, comparison of the K a / K s results versus known drug-resistance mutations demonstrates that this approach predicts true drug-resistance mutation codons with a high level of accuracy (13 drug-resistance mutation codons in K a / K s analysis, and 19 in the conditional K a / K s analysis).
The study is conducted based on the BEKK-GARCH process developed by Kroner and Ng (1998) and outlining the asymmetry in the conditional variances of the stock and oil markets.
This paper introduces the Smooth Transition version of FIGARCH model which is designed to account for both long memory and nonlinear dynamics in the conditional variance.
This paper introduces a new long memory volatility process, denoted by adaptive FIGARCH, or A-FIGARCH, which is designed to account for both long memory and structural change in the conditional variance process.
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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