Effect of each software transition and any hardware transition on daily minutes of exercise (negative binomial models with a random intercept per participant) among participants wi... by Shelby L. Sturrock (10751675)

Change in the ERCC1 secretion level in plasma(pg/ml). by Hao Deng (409186)

S1 Data - by Hao Deng (409186)

“…AA (OR = 3.016) and CA (OR = 2.130) genotypes were identified as risk factors for stage II. ERCC1 significantly decreased in processing of CWP. The cutoff value of ERCC1 was 5.265 pg/ml, with a sensitivity of 90.0% and specificity of 86.7%. …”

Change in the genotypes of <i>ATM</i>, <i>ERCC1</i>, and <i>XRCC1</i>. by Hao Deng (409186)

“…AA (OR = 3.016) and CA (OR = 2.130) genotypes were identified as risk factors for stage II. ERCC1 significantly decreased in processing of CWP. The cutoff value of ERCC1 was 5.265 pg/ml, with a sensitivity of 90.0% and specificity of 86.7%. …”

Supplementary Table S2 from Elevated Transglutaminase-2 in SOX10-Deficient Melanoma Promotes Tumor Onset and Decreases Intratumoral CD4⁺ T Cells by Signe Caksa (16745174)

Reduced expression of thermogenic and lipogenic genes of <i>aP2-Drp1</i>^f/f neonatal mice. by Yuta Ibayashi (20404811)

Characteristics of census tracts that are projected to have high (groups: 250-399 and 400+) and low (groups: 50-99 and 100-249) MHC utilization for COVID-19 vaccination before Marc... by Fatih Gezer (21485468)

Data. by Su Hwan Park (15158181)

“…Participants in the progression group were younger (60.7 vs. 65.7 years, P = 0.015) and showed a larger BCVA change (0.20 vs. 0.04, P < 0.001) and greater ERM area decrease (34.2% vs. 11.7%, P < 0.001) during the follow-up period. …”

Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Baseline characteristics of patients. by Su Hwan Park (15158181)

“…Participants in the progression group were younger (60.7 vs. 65.7 years, P = 0.015) and showed a larger BCVA change (0.20 vs. 0.04, P < 0.001) and greater ERM area decrease (34.2% vs. 11.7%, P < 0.001) during the follow-up period. …”

Difference in proportion of lesions correctly identified by young and old cohort of optometrists (A) Performance of subjects with normal color vision. by Richard C. Trevino (22676460)

Mean total cholesterol levels over time in the roxadustat group (A) and ESAs group (B) according to the statins subgroup. by Jie Liu (15128)