Relationship between the antioxidant effect of the extracts and their cannabinoid content. by Bruno Musetti (9527085)

RZC purification of 6-hb dimer. by Jason Sentosa (16617743)

Number of fish tagged by treatment and date. by April S. Cameron (8622711)

“…For all study fish, the presence of two intact sutures seven days post-surgery (generally associated with good suturing technique) was negatively correlated with survival. A generalized linear mixed effects model indicated that suture presence, increasing tagging temperature, and the presence of foreign material on sutures decreased survival by 0.56, 0.72 and 0.60 respectively. …”

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

Comparisons of normalized reads of indicated classes of small RNAs in <i>lin-35(n745)</i> with wild type. by Ashwin Seetharaman (615458)

“…The rest of the small RNAs are represented as light gray data points. Lines denoting equal, 5-fold increased and 5-fold decreased expression are shown as light gray dashed lines. …”

Comparisons of normalized reads of indicated classes of small RNAs in <i>lin-15b(n744)</i> with wild type. by Ashwin Seetharaman (615458)

“…The rest of the small RNAs are represented as light gray data points. Lines denoting equal, 5-fold increased and 5-fold decreased expression are shown as light gray dashed lines. …”

Comparisons of normalized reads of indicated classes of small RNAs in <i>lin-52(n771)</i> with wild type. by Ashwin Seetharaman (615458)

“…The rest of the small RNAs are represented as light gray data points. Lines denoting equal, 5-fold increased and 5-fold decreased expression are shown as light gray dashed lines. …”

Comparisons of normalized reads of indicated classes of small RNAs in <i>lin-9(n112)</i> with wild type. by Ashwin Seetharaman (615458)

“…The rest of the small RNAs are represented as light gray data points. Lines denoting equal, 5-fold increased and 5-fold decreased expression are shown as light gray dashed lines. …”

Comparisons of normalized reads of indicated classes of small RNAs in <i>lin-35(n745); glp-4(bn2)</i> with <i>glp-4(bn2)</i>. by Ashwin Seetharaman (615458)

“…The rest of the small RNAs are represented as light gray data points. Lines denoting equal, 5-fold increased, and 5-fold decreased expression are shown as light gray dashed lines. …”

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. …”

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. …”