CT images of GGNs at different radiation dose settings. by Cherry Kim (3863416)

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Forest plot of the effect of high-dose TXA on transfusion rate. by Xin Liu (43569)

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Forest plot of the effect of high-dose TXA on operation time. by Xin Liu (43569)

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Shift of measured dose distribution. by Seongmoon Jung (9310778)

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Significant variables in decreasing importance for varietal clustering based on Random forest method. by Wilfried Chevalier (10521466)

Spleen PAX5 significantly decreased in APRIL/BLyS blockade treated mice. by Natalie M. Bath (6316517)

Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells. by Xiang-Fan Chen (13932983)

Cabozantinib significantly decreases tumor volume and prolongs survival in SCNPC PDX models. by Mark P. Labrecque (10011469)

Glass dosimeter dose verification results for ITV-SBRT with different BPMs and amplitudes. by Bong Kyung Bae (8736945)

Effects of single drugs on mouse survival (different injection doses and timings). by Guowen Zhang (5450483)

Evaluation of analgesic effect according to dose of lidocaine: Lidocaine dose response test. by Geun Joo Choi (7391252)

Estimated prevalence (A), DALYs (B), and mortality (C) rates for IBD among WCBA by 2040. by Jiefeng Zhao (9090305)

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Catalytic fold of WT PARG1 C1-GAP domain for RhoA interaction. by Zen Kouchi (14898435)

Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions. by Lingzhi Tan (19146572)

The mean relative risk reduction (RRR) of health outcomes for the alternative starting time modeled with (A) IBM and (B) MPM. by Louis Yat Hin Chan (14493190)

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SNX9 gene knockdown showed significant dose-dependent inhibition. by Ching Hua, Regina Lee (7310261)

“…Significant dose-dependent inhibition of CHIKV infection was observed from 25 nM to 50 nM, with approximately 2-log₁₀ PFU/mL reduction in virus titre. …”

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

MADRS >32 –between group differences. by Davinder Hans (12015279)

Variation in dose-response slope estimates can be explained by genetic differences among strains. by Amanda O. Shaver (3263472)

“…Solid points denote strains with significantly different dose-response slopes (Student’s t-test and subsequent Bonferroni correction with a <i>p</i>_<i>adj</i> < 0.05), and faded points denote strains without significantly different slopes than the N2 strain. …”

Dose-response curve for emodepside. by Amanda O. Shaver (3263472)