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. …”

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_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. …”

A study of the effects of canopy coverage on the abundance of herbaceous plant species in Danby Woodlot at York University by Justin Kim (3117231)

“…For the first data set we obtained the abundance of native plants, abundance of exotic plants, and total number of flowers via quadrat sampling (n=25) along a 50m transect (east to west). …”

Identification of KSHV components that are responsible for the epigenetic regulation of PROX1 gene expression. by Yao Ding (1429924)

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

Rotenone leads to apoptosis in porcine oocytes. by Geun Heo (14185618)

<b>Uncovering the role of the yeast lysine acetyltransferase NuA4 in the regulation of nuclear shape and lipid metabolism</b> by Sarah Laframboise (18338787)

“…<p dir="ltr">Here, we report a novel role for the yeast lysine acetyltransferase NuA4 in regulating phospholipid availability for organelle morphology. …”

Image_1_Identification of a PEST Sequence in Vertebrate KIR2.1 That Modifies Rectification.JPEG by Muge Qile (6917804)

The composite Southeast Bering Sea shelf nutricline, within a multi-decade compendium of NOAA Alaska hydrography by Noel Pelland (16909461)

“…</i></b></p><p dir="ltr">The abstract for this presentation was as follows:</p><p dir="ltr">Researchers at NOAA’s Pacific Marine Environmental Laboratory and Alaska Fisheries Science Center are currently working on the first edition of a nearly 50-year CTD and 22-year nutrient data collection based on NOAA sampling in Alaska waters. …”

Alterations in the vitamin D endocrine system during pregnancy: A longitudinal study of 855 healthy Norwegian women by Miriam K. Gustafsson (5089163)

“…Estimate of change between trimesters was (95% CI): 25(OH)D -1.8 (-2.8 to -0.7) nmol/L, DBP 0.62 (0.57 to 0.66) μmol/L, calculated free 25(OH)D -1.7 (-2.0 to -1.4) pmol/L, PTH 0.81 (0.72 to 0.90) pmol/L, 1,25(OH)₂D (sub-analysis) 31.4 (CI 24.7 to 38.2) pmol/L. A decrease in 1,25(OH)₂D occurred in 45% of those with vitamin D deficiency, and they also exhibited lower levels than women with adequate vitamin D status. …”

<i>Kpna1</i> KO mice show significant impairment in short-term recognition memory and avoidance learning and/or memory. by Koki Sakurai (11690201)

Data_Sheet_1_The APSES Gene MrStuA Regulates Sporulation in Metarhizium robertsii.DOC by Wenjing Yang (466552)

“…We also show that the median lethal time (LT₅₀) of the mutant increased by 19%. …”

Image1_A Novel Meiosis-Related lncRNA, Rbakdn, Contributes to Spermatogenesis by Stabilizing Ptbp2.PDF by Wensheng Liu (205723)

Table1_A Novel Meiosis-Related lncRNA, Rbakdn, Contributes to Spermatogenesis by Stabilizing Ptbp2.XLSX by Wensheng Liu (205723)