Vps34 supports Treg maintenance in lymphoid and non-lymphoid tissues. by Erienne G. Norton (9612079)

“…Two-tailed Student <i>t</i> test (<b>A</b>–<b>D</b>, <b>F</b>–<b>I</b>) or Benjamini–Hochberg test (<b>E</b>); NS, not significant. …”

Vps34 orchestrates transcriptional and epigenetic remodeling events corresponding to terminal eTreg differentiation during perinatal life. by Erienne G. Norton (9612079)

“…Data are shown as mean ± s.e.m. (<b>D</b>). Wilcoxon rank-sum test (<b>A</b>, <b>B</b>; <b>J</b>, right), Benjamini–Hochbert test (<b>C</b>), two-tailed Student <i>t</i> test (<b>D</b>, <b>I</b>), Fisher’s exact test (<b>F</b>–<b>H</b>), or bionomial test (<b>J</b>, left); NS, not significant. …”

Blood test data. by Yasuaki Mushiga (21485741)

“…However, the volume may increase as serum lipid levels elevate after DR development. …”

Characteristic of the eyes. by Yasuaki Mushiga (21485741)

“…However, the volume may increase as serum lipid levels elevate after DR development. …”

Raw data of the participants. by Yasuaki Mushiga (21485741)

“…However, the volume may increase as serum lipid levels elevate after DR development. …”

Model parameters. by Nan Zhang (46264)

“…In contrast, comparing with no hand washing, handwashing every 2 hours can reduce the infection risk per visit to the airport by only 2.0%, making public surface disinfection significantly more effective than handwashing. If the mask-wearing rate increases from 0% to 50%, the infection risk of norovirus would be decreased by 48.0% (95% CI, 43.5–52.3%). …”

Driving variables recorded from the simulator. by Mobina Faqani (22783963)

“…Additionally, HF conversation was associated with a decrease in ART among conservative participants, while it significantly increased TIBL for both moderate and conservative groups. …”

KSHV lytic replication enhanced PML-IKKε interaction and disrupted PML NBs in BCBL-1 cells. by Xiaoqian Wang (460263)

IKKε interacts with PML and disrupts the PML nuclear bodies. by Xiaoqian Wang (460263)

Effects of Ni²⁺ on mitochondrial (A), glycolytic (B), and total (C) ATP production rates in BMDM. by Jesse Corbin (21736578)

STM2457 and PD98059 enhanced PRV replication <i>in vivo.</i> by Lucai Wang (22050158)

Effect of ibuprofen (IBU) on COX-2 expression. by Katarina Grossmannova (7543517)

“…(C) Analysis of signaling pathways involved in COX-2 expression using specific inhibitors LY294002 (inhibiting PI3K/AKT pathway) and PD98059 (inhibiting ERK1/2 pathway) in hypoxic cell lines show that both pathways are involved in COX-2 expression in HCT116, RKO and UM-22A cells. In FaDu cells, only the ERK1/2 inhibitor decreased the level of IBU-mediated COX-2 expression.…”

Effect of ibuprofen (IBU) on cancer cell apoptosis, autophagy and migration ability. by Katarina Grossmannova (7543517)

Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Classification of hand grip strength. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Rating scale for functional severity [28]. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Regression model coefficients. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

WHO BMI classification for adults. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Baseline characteristics of participants. by Mei Zhou (269746)

“…</p><p>Results</p><p>After DRG implementation, the logarithmic mean of total hospitalization expenditures decreased significantly (3.914 ± 0.837 vs. 3.872 ± 1.004), while rates of unplanned readmissions, unplanned reoperations, postoperative complications, and patient complaints within 30 days increased significantly (3.784% vs 4.214%, 0.083% vs 0.166%, 0.207% vs 0.258%, 3.741% vs 5.133%). …”