Your English writing platform
Discover LudwigSimilar(60)
The resulting auto-correlation functions are non-negative and decreasing functions with a prescribed scale of fluctuation.
We introduce a novel method to study capillary hemodynamics based on measuring the time scale of fluctuations of the dynamic scattering component.
The typical time scale of fluctuations within the pulse is only hundreds of picoseconds.
Timashev et al. [32] used the scale of fluctuations in the difference moment of the second-order SFs as an objective diagnosis of psychiatric disorders, such as schizophrenia, by analyzing the EEG signals recorded from scalp-mounted frontal electrodes at locations F3 and F4.
Hence, the time scale of fluctuations in activity is likely to be shorter than the time scale of fluctuations in density.
To ensure that the autocorrelation function estimate is Hermetian, we impose the following constraint: We approximate the autocorrelation of the dynamic component by subtracting the static scattering component from the estimated autocorrelation function: Our goal is to determine the time scale of fluctuations of the dynamic scattering component.
The first one is the time scale of fluctuations of the modification of individual histones (short time scale < 1 h (Hayashi-Takanaka et al., 2011)) which is determined by the histone (de-) modification rates kM, and kD for modification and de-modification, respectively.
The results show that, for a given horizontal scale of fluctuation relative to the slope geometry, there is a wide range of possible slide volumes and slide geometries.
This study explores the phenomenon of a worst case scale of fluctuation (SOF) in basal heave analysis for excavation in spatially variable clays.
The vertical scale of fluctuation has a much higher effect on the probabilistic result with respect to the tunnel convergence than the horizontal scale of fluctuation.
Moreover, for the problems analysed, an optimal sampling distance of half the horizontal scale of fluctuation was identified.
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