Your English writing platform
Discover LudwigExact(1)
The differing impacts of Tyr25 and Val260 on the low temperature properties of the hydride transfer step of ht-ADH made them excellent candidates for testing the sensitivity of time dependent changes in protein fluorescence at the active site Trp87 to catalytically relevant protein dynamics.
Similar(59)
This paper develops a framework for the construction and analysis of discrete adjoint sensitivities in the context of time dependent, adaptive grid, adaptive step models.
The sensitivity information is stored in the n y n t × n p dimensional sensitivity matrix S. S is a block matrix that consists of time dependent blocks s(t i ) of size n y × n p [ 34]: (7) The entries of s(t i ) are called sensitivity coefficients.
timeDepEffects: List of time dependent variables.
An analysis of time-dependent sensitivity showed that the detection rates were significantly higher for MODS than for MGIT by day 7 or day 14 (P<0.001 and P = 0.04), respectively.
Estimation of time-dependent sensitivity and specificity based on censored outcome was performed using nearest neighbours algorithm.
Since the sensitivity indexes are time dependent, the analysis may be said to be a dynamic sensitivity analysis.
Since the use of time-dependent covariates for predictive purposes is controversial (20), as a sensitivity analysis we reran our model replacing each of the time-dependent covariates with time-constant variables to determine whether that would impact the study findings.
We define the scaled sensitivities for time-dependent fluxes of reactions by (3) S (J i (t ), p j ) = p j J i (t ) ⋅ ∂ J i (t ) ∂ p j = ∂ log J i (t ) ∂ log p j where J i (t) are the time course of glycolytic rates and p j are rate constants.
In this section, we report the results of the time dependent sensitivity analysis [Eq. 8] for a time period of 100 seconds.
An MPSA analysis of the time dependent normalized sensitivity response is defined as: (9) S ij X j, p i = ∂ ln X j ∂ ln p i where X j is the mRNA concentration of the j-th gene, and p i is the i-th parameter in the dynamic model.
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