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We demonstrate the nuclear dynamics with nuclear network abundance calculations, with a model of sudden compression and reexpansion of the nuclear gas, and with nuclear energy decompositions of a nuclear-mass law.
Combining GA and the mathematical analysis method, this paper proposed a pollution source identification model of sudden water pollution incidents in small straight rivers, which can concisely and effectively deal with the problem of the pollution source determination.
When ICAM-1 expression in the disturbed flow region was compared to theoretical stress distributions obtained from a computational model of sudden expansion flow, a modest trend (R2 = 0.327, p < 0.01 was observed between ICAM-1 and shear stress but the correlation between ICAM-1 and shear stress gradient was insignificant.
The unimodality of the nucleotide frequency mismatch distribution was almost identical to a model of sudden expansion.
Mismatch distribution analysis describes the distribution of pairwise nucleotide differences among haplotypes based on a model of sudden population expansion [52], [53].
To test for the signature of rapid expansion, we created a nucleotide mismatch frequency distribution in DnaSP, version 4.10.9 [44] and compared this to a model of sudden population expansion [45], [46].
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For the mtDNA dataset, both the western and northern populations conformed to the model of sudden-expansion (p > 0.05; Figure S3a,b [see Additional file 8]), which was further supported by low raggedness values (p > 0.05).
Numerical models of sudden onset flood behaviour, particularly those applied to real world events, have tended to neglect sediment transport processes.
A second major strength of our approach is the improved modeling of sudden directional changes or jumps in the trends of an outcome.
Moreover, based on Harpending's r, we failed to reject models of sudden demographic expansion in all cases (Table 3), indicating the coalescent model accurately accounted for observed polymorphism patterns.
Here, we apply two invasive species distribution models (iSDMs) of sudden oak death establishment and spread risk to target early detection and control further disease spread in Oregon forests.
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