Your English writing platform
Discover LudwigExact(1)
Here, the ionospheric model used in the ray tracing programme was developed by fitting realistic ionosphere profiles with a number of exponential functions.
Similar(58)
To make this distinction even more apparent, Figure 10 shows cumulative hybridized state time distributions for two populations that are apparent in Figure 9 as ranges of d (d < 0.4 and 0.4 < d < 1.2) and fit with a number of exponentials selected by the maximum entropy method.
Therefore, the time dependence of the coefficient of optical absorption can be written as an expansion comprised of a certain number of exponential terms: ( A={displaystyle {sum}_{i=1}^n{A}_i}{e}^{-{d}_it} ), where A i is the weighting factor and d i is the logarithmic decrement measured in s−1.
The streak camera datasets were analyzed globally with a sequential model in order to extract a minimum number of exponential components n (with increasing lifetimes τn) that can satisfactorily describe the data (no structure in the residuals).
Briefly, an adequate number of exponential phase HeLa cells were plated in quintuplicate in a 96-well flat bottomed microplate and incubated for 24 h in the presence of drug/particles.
Briefly, an adequate number of exponential phase HeLa cells, MG-63 cells, and MCF-7 cells was plated in quintuplicate in a 96-well flat-bottomed microplate and incubated for 24 h in the culture solution containing NDs, NRs, NSs, or free HCPT.
A number of numerical experiments with exponential, normal and lognormal distributions of the batch sizes are presented and analyzed.
We compared the ability of a number of regression models (linear, exponential, logistic, and polynomial) to capture a relationship between EAGB (DBH ≥ 60 cm) and EAGB (60 cm < DBH ≥ 30 cm).
We compared the ability of a number of regression models (linear, exponential, logistic, and polynomial) to capture a relationship between EAGB (DBH ≥ 60 cm) and EAGB (60 cm < DBH ≤ 30 cm).
However, this method of defining the track geometrical layout is facing a number of difficulties related with the exponential nature of errors rising together with the distance [20].
In this case study, it was observed that the SWPM, in order to provide reasonably accurate results, requires a very high number of exponentials M, and as a result, it also requires a high value of N for the optimal window of analysis.
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