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Our simulation results showed largest negative effect on the population abundance for hydropeaking during winter daylight.
Using hay or coal as cooking fuel has the largest negative effect on health and SES outcomes.
If decreasing the trait value is our selection objective, we should take the allele with the largest negative effect per main-effect QTL as novel allele.
The QTL on Chr.05 (qELO-c5-1, marker locus HAU0006a) had the largest negative effect.
Macrovascular complications showed the largest negative effect on the overall HRQoL (adjusted B = −4.98, 95%% CI −8.56 to −1.40).
The QTL on Chr.22 (qUHM-c22-3, marker locus HAU0086b) had the largest negative effect, and explained 6.31% of the phenotypic variance.
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Cancer and intestine problems (category 6) and migraine and dizziness (category 7) have the largest negative effects on well-being.
Economic level had the largest negative effects on TB prevalence in Zhejiang, Fujian, Guangdong, Guangxi and Hainan, with the coefficients −0.488 to −0.465, and the lowest negative effects on TB prevalence in Xinjiang, with the coefficients −0.371 to −0.293 (Fig. 7).
Geographic factor had the largest negative effects on TB prevalence in Jiangsu, Zhejiang and Fujian, with the coefficients −0.372 to −0.363, and the lowest negative effects on TB prevalence in Tibet and Xinjiang, with the coefficients −0.262 to −0.192 (Fig. 10).
TB service had the largest negative effects on TB prevalence in Tibet and Xinjiang, with the coefficients −0.291 to −0.240, and the lowest negative effects on TB prevalence in Zhejiang and Fujian, with the coefficients −0.107 to −0.098 (Fig. 4).
Health level had the largest negative effects on TB prevalence in Zhejiang, Fujian, Jiangxi, Guangdong, Guangxi and Hainan, with the coefficients −0.727 to −0.687, and the lowest negative effects on TB prevalence in Xinjiang, with the coefficients −0.538 to −0.458 (Fig. 6).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com