CTRP3 inhibits high glucose/high lipids (HGHL)-induced expression of VCAM-1 in a time- and dose-dependent manner. by Zheyi Yan (4162180)

“…Results are expressed as means±SD from 5–6 independent experiments. Each experiment was repeated 3 times. …”

Table 1_Sex disparities in the risk of intracranial aneurysm rupture: a case–control study.docx by Dong Shen (485693)

“…Although ruptured IAs were most common in males and females aged 50–59 and 60–69 years, respectively, risk of IA rupture peaked at ages 30 and 30–50 years in females and males, respectively, and decreased with age in both sexes.…”

Assessing the Microbial Community and Functional Genes in a Vertical Soil Profile with Long-Term Arsenic Contamination by Jinbo Xiong (115147)

The impact of sgRNA-mediated knockout cell lines on viral replication during PRV replication. by Lucai Wang (22050158)

HIFN reduces retinal and visual function deficits following ocular trauma. by Shweta Modgil (12864344)

“…(E) Data are expressed as total RBPMS-positive cells/ROI (mean ± SEM) ** p = 0.002; **** p ≤ 0.0001; n = 20–56. …”

Identification of cell cycle re-engaging postmitotic excitatory neurons in single-nucleus transcriptomic profiles. by Deng Wu (805710)

The effect of Pro-Ca on rice seedlings morphology under salt stress. by Yao Li (154923)

TLR3 deficiency exacerbated liver fibrosis caused by <i>C</i>. by Yuru Wang (846969)

Exogenous prohexadione-calcium (Pro-Ca) application conferred salt stress resistance of rice seedlings. by Yao Li (154923)

The effective reproduction number <i>R</i>_<i>t</i> for confirmed mpox cases in Spain, France, Germany, the UK, the Netherlands, Portugal, and Italy from June 25 to Septe... by Fernando Saldaña (16979376)

Table_6_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_1_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_5_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_2_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_1_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_4_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_5._Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_3_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_6_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_4_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”