Shows the 5′ region and the exons of the <i>C3</i> gene in the vertical line and the three new SNPs that we found by sequencing. by Yonghui Wang (287491)

KDM6A mRNA expression is decreased in PTFE mice. by Simon Lebek (9756148)

IL-17A promotes the expression of osteoclast-related genes involved in osteoclastogenesis. by Hao Tang (44155)

IL-17A promotes OCP autophagy through the ERK/mTOR/Beclin1 pathway induced by RANKL. by Hao Tang (44155)

Exercise test characteristics for identifying stenosis ≥ 50% in any limb among the 60 limbs with normal ABIs (> 0.91). by O. Stivalet (6890189)

Analytical sensitivity and reproducibility. by Lizhi Yu (12476136)

Reference mutations versus background noise across replicates. by Lizhi Yu (12476136)

Depth of coverage and heterogeneity of the mutation loci. x-axis, mutation loci in sample set one or two; y-axis, depth of coverage after UMI consolidation. by Lizhi Yu (12476136)

Quantification and accuracy of average VAF. by Lizhi Yu (12476136)

IL-17A inhibits apoptosis of OCPs. by Hao Tang (44155)

IL-17A promotes RANKL-stimulated osteoclastogenesis. by Hao Tang (44155)

Demographic, anthropometric, mobility, health, and cognitive characteristics of the participants (N = 50). by Sirinun Boripuntakul (13994171)

Kylo-0603’s EC50 & tissue levels. by Xueqin lu (22250795)

Schematic overview of the cross-platform study. by Lizhi Yu (12476136)

Inhibition of autophagy attenuates IL-17A-mediated osteoclastogenesis. by Hao Tang (44155)

S1 File - by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

Detailed information on field experiments. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

List of symbols used in this study. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

Data sources for calibration and evaluation. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

S1 File - by Chantelle M. de Vet (16535257)

“…The student’s RV-GLS consistency was poor during the first 25 measurements, moderate-to good during the second 25 measurements and again poor-to-moderate during the final 50 measurements. Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i>_adj<0.001), which was not significantly different between trainees. …”