Effect of different light conditions on the growth response of sugar beet to NaCl by Ryota Obama (20179531)

“…Furthermore, the growth promotion by NaCl accumulation was accompanied by a significant decrease in NO₃–N concentration, which suggested that NaCl application affects nitrogen metabolism in sugar beet.…”

Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

Table 1_Effects of Tanreqing injection on the gut microbiota in healthy volunteers.docx by Shiyu Li (144475)

“…This study aimed to investigate the effect of TRQ on the gut microbiota of healthy volunteers.…”

Supplementary Material for: The effect of far infrared treatment on changes in biomarkers in the arteriovenous fistula by figshare admin karger (2628495)

“…Regardless of treatment group, four-hours of HD caused a significant decrease in tumor necrosis factor-alpha (-1.30 [-1.70;-1.03] pg/ml , P= <0.001), monocyte chemoattractant protein-1 (-32.50 [-50.50;-8.25] pg/ml, P= <0.001), nitrite, and nitrate (-20.00 [-27.75;-14.00] µmol/L, P= <0.001) as well as asymmetric dimethylarginine(-0.24 [-0.28;-0.18], µmol/L P= <0.001). …”

Raw data. by Mohamed Condé (22622306)

“…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”

Risk factors for ACS (multivariate analysis). by Mohamed Condé (22622306)

“…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”

Raw data. by Mohamed Condé (22622306)

“…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”

Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

“…Linear mixed model (LMM) analysis was performed by setting GMS and intraocular pressure (IOP) change as objective variables, and the postoperative days, preoperative mean deviation (MD), preoperative IOP, and various antiglaucoma medications as fixed effects. The preoperative IOP was 15.06 ± 3.51 mmHg and significantly reduced to 12.22 ± 2.23 mmHg at 3 months and 12.99 ± 2.45 mmHg at 12 months. …”

Characteristics of the 280 VOCs at inclusion. by Mohamed Condé (22622306)

“…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”

Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

“…Linear mixed model (LMM) analysis was performed by setting GMS and intraocular pressure (IOP) change as objective variables, and the postoperative days, preoperative mean deviation (MD), preoperative IOP, and various antiglaucoma medications as fixed effects. The preoperative IOP was 15.06 ± 3.51 mmHg and significantly reduced to 12.22 ± 2.23 mmHg at 3 months and 12.99 ± 2.45 mmHg at 12 months. …”

Functional enrichment analysis. by Andrea Salinas (4963834)

“…Finally, the extract significantly decreased concanavalin A (ConA)-induced T cell proliferation. …”

This figure illustrates the impact of <i>Lactobacillus reuteri</i> supplementation on cytokine concentrations in a mouse model of colitis induced by dextran sulfate sodium (DSS). by Mohsen Nazari (6299819)

Renamed 05c60. by Hongjun Sun (12554742)

“…However, when spatial correlation effects are considered, the transition characteristics of contribution levels show significant spatial dependence. …”

Region Division. by Hongjun Sun (12554742)

“…However, when spatial correlation effects are considered, the transition characteristics of contribution levels show significant spatial dependence. …”

Search strategy. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 1 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

GMT by age cohort for PWH and PWoH. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 4 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Difference in GMT for HPV16 and HPV18 in PWH. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 3 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”