Differentially expressed genes (DEGs)^a showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression. by Margaret A. Carpenter (6104180)

“…<p>Differentially expressed genes (DEGs)^a showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression.…”

Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively.... by Zoë Parker Cates (22184243)

“…The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively. …”

Third. by Cuicui Liu (1496260)

Effect of anti-<i>Leishmania</i> drugs added to a sugar diet on the longevity of <i>Lu. longipalpis</i> females. by Tainá Neves Ferreira (21601579)

Effect of anti-<i>Leishmania</i> drugs added to a sugar diet on the longevity of <i>Lu. longipalpis</i> males. by Tainá Neves Ferreira (21601579)

Effect of anti-<i>Leishmania</i> compounds added to a sugar diet on females of <i>Lu. longipalpis</i> pre and post-blood feeding. by Tainá Neves Ferreira (21601579)

Quantification of ingested proteins by females after 30 minutes of blood feeding. by Tainá Neves Ferreira (21601579)

Additional file 7 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Additional file 11 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Additional file 10 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Additional file 3 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

Variation curve of the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

Mean 0-30 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

Mean 0-20 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

Mean 0-10 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

Centrifuged FMT products consistently exhibit the lowest median log₁₀ drop of CFU/g following freezing and lyophilization. In contrast, unprocessed feces exhibited the greatest median log₁₀ drop and had a statistically significant loss of bacterial viability across both storage conditions.... by Nina K. Randolph (21030732)

“…In contrast, unprocessed feces exhibited the greatest median log₁₀ drop and had a statistically significant loss of bacterial viability across both storage conditions. …”

Heteroscedastic linear mixed model main results, estimating the volume (ml) of beer sold per day on the transformed (cube root) scale, on the original scale and on the relative sca... by Eleni Mantzari (6991172)

Subjects:

Mann-Kendall test for the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

Validation of child labor measures using third-party data, households with all children in school. by Guilherme Lichand (11410286)