Your English writing platform
Discover LudwigExact(4)
To visualize the performance of the different algorithms, we performed a number of benchmarking simulations spanning a range of sample thicknesses, sizes, and with varying degrees of sampling.
Second, we conducted a taxonomic distinctness analysis, which is useful for comparing diversity across studies with uncontrolled, unequal, or unknown degrees of sampling effort, and where quantitative data are not available and samples consist of a species list [16], [17].
Taxonomic distinctness analysis avoids most problems associated with traditional measures of species richness, and is thus useful for comparing diversity across data sets and studies with uncontrolled, unequal, or unknown degrees of sampling effort, where quantitative data are not available and samples consist of a species list (presence/absence data) [46], [47].
This result suggests that these markers are resistant to varying degrees of sampling error.
Similar(56)
A modified rehydration model was developed based on a thermodynamic model for cement hydration and used to predict the hydration degrees of samples at different times.
However, we strongly believe that this did not affect our results since we assured similar time periods at similar degrees of samples of the three different groups.
In order to better understand the interaction between water molecules and cellulose sites, H NMR measurements were performed under different degrees of samples hydration.
Given the large degree of sampling for each region, we are able to investigate population structure at different spatial scales, as well as controlling for sex-biased structure.
The inability to predict past distributions using training data from modern, contracted distributions is consistent with previous findings showing that the degree of sampling bias with respect to climatic conditions has a negative effect on predictive accuracy [75].
Any use of a sample statistic to estimate a population parameter is subject to some degree of sampling variation.
Therefore, there may be a degree of sampling bias that weakens the generalizability of our findings to chronic care facilities.
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