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There are other issues I raised that the authors did not respond to, e.g. do animals know when reward is available, etc. (their analysis on this point is not addressing the point).
In Nepal and Zambia, there is some evidence that user-fee removal has particularly enhanced the utilization of poorer groups (Nepal) or areas (Zambia), although we have expressed some doubt about the Zambian analysis on this point.
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The rest of their "analysis" on this key point -- a point on which their entire argument depends -- consists of simply regurgitating industry talking points about the burdensome nature of the rule requirements.
A simple analysis elaborating on this point has been made by Jones (1980).
The other analysis bears on this point.
Since S-phase entry is the criterion that distinguishes the avian epithelium from that in mammals, we have concentrated our analysis on this time point.
Since we thought that change in scores between D1 and M6 were more suitable for assessing the evolution of HRQL, we mainly focused our analysis on these points.
The time at which URB597 had the greatest effect, when compared to vehicle, was selected and further analysis focused on this time point.
The analysis up to this point has concentrated on modeling the representations of individual objects, rather than categorical representations.
Subsequent scholarly analysis, however, resulted in spirited debate on this point.
To conclude on this point, fingerprinting analysis based on SSRs relies on the estimate of amplicon length, and differences due to homoplasy, that is alleles of the same size and different nucleotide sequence, are usually not considered.
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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