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In this contribution a population model for crystallization processes with two independent particle properties is developed.
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The contribution of a population to the diversity is evaluated by computing the loss or gain of diversity ΔGD when the population is removed.
Poisson regression indicated that these variables were all highly correlated and could not determine the level of independent contribution at a population level.
The final subtracted data collected for 230 μM samples were fitted in the q range between 0.013 and 0.040 Å–1 by a function representing the sum of the scattering contributions from a population of uniformly filled spheres of two sizes.
Haplotype number, as well as haplotypic richness and diversity contribution after rarefaction to a population size of 15, were estimated using CONTRIB [47].
Our analyses of two-source systems outlines the manner in which our techniques of correction for enrichment would allow determination of the relative contribution of sources to a population of animals under more realistic field conditions.
While distinguishing between these options is biologically interesting, from the perspective of local population recovery the ultimate consequence of these two fates is identical – an individual that either emigrates or perishes will fail to make a contribution to population growth.
Although they are individually rare, they are collectively common and therefore may make a significant contribution to disease risk on a population level.
However, these risks cluster together and it is difficult to determine the individual contribution of each variable at a population level.
The burden of alcohol use usually is expressed as a function of the contribution of alcohol use in a population to morbidity and mortality in that population (Rehm et al. 2010).
The magnitude of indirect effects was measured by their contribution to phenotypic variance in a population in which interacting individuals are unrelated, which is given by n − 1 σ P S 2 and was equal to 0.25, 1, or 4 (σ P S 2 = σ A S 2 + σ E S 2 ).
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