https://www.science.org/doi/10.1126/sciadv.adh8263
QT:{{”
These rates imply that vapor pressure controls partitioning behavior and that house ventilation plays a minor role in removing smoke VOCs. However, surface cleaning activities (vacuuming, mopping, and dusting) physically removed surface reservoirs and thus reduced indoor smoke VOC concentrations more effectively than portable air cleaners and more persistently than window opening.
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Just stumbled on this. Amazing how well GPT-4 seems to do on AP tests. One notable exception is AP English. I wonder why?
https://twitter.com/mattgroh/status/1635755153830584321
https://cdn.openai.com/papers/gpt-4.pdf
Test results that gpt4 can get; Doesn’t do well in ap English
Primer
Published: 25 January 2023
Molecular quantitative trait loci
François Aguet, Kaur Alasoo, Yang I. Li, Alexis Battle, Hae Kyung Im, Stephen B. Montgomery & Tuuli Lappalainen
Nature Reviews Methods Primers volume 3, Article number: 4 (2023)
Related to the discussion about quantitative GWAS and QTL, this primer review (and in particular box 1) is helpful in clarifying the (non) difference between the two types of studies:
https://www.nature.com/articles/s43586-022-00188-6
The statistics behind quantitative GWAS and QTL studies is the same, the only main difference might be the multiple testing correction procedure.
In general, it’s more a nomenclature distinction, as the term “QTL” is often used specifically for molecular traits.
