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

Key bioreactor parameters from a representative bioreactor run (R2) in diurnal conditions. by Adam D. Idoine (637684)

Supplementary Material for: Mortality and Cardiovascular Morbidity Associated with Haemoglobin Levels: A Pooled Analysis of Randomised Controlled Trials by Locatelli F. (3698788)

“…<b><i>Results:</i></b> Average Hb <10 g/dl, decrease from stable baseline Hb >1 g/dl, last Hb <10 g/dl, Hb decline >1.5 g/dl/4 weeks and increased Hb variability were associated with a higher risk of the composite end point and all-cause mortality. …”

A retrospective evaluation of the relationship between symmetric dimethylarginine, creatinine and body weight in hyperthyroid cats by Donald Szlosek (7872581)

“…Cats were retrospectively identified from the US IDEXX Reference Laboratories database where TT4, SDMA and creatinine were measured on the same cat at multiple time points. A hyperthyroid treated group was identified (TT4 ≤ 4.7 μg/dL and decreased by a minimum of 2.5 μg/dL) that had body weight and laboratory results available from more than one visit, and was used to evaluate body weight, creatinine, SDMA and TT4 pre-treatment and at 1–30, 31–60, 61–90, 91–120 days post-treatment. …”

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. …”

Motivators of HPV vaccination in multivariate logistic regression (Model 2, n = 84). by Aasith Villavicencio (14475240)

Predictors of HPV vaccination in multivariate logistic regression (model 1, n = 84). by Aasith Villavicencio (14475240)

Table 1_New insights in fluid monitoring for surgical patients. A concept study.docx by Audrius Andrijauskas (21751664)

“…</p>Results<p>The primary hypothesis was confirmed—aPD decreased as EQ_Hct decreased when EQ_Hct <40%, and a very weak positive correlation was found between EQ_Hct and absolute aPD (Spearman's correlation coefficient 0.1025, p < 0.001). …”

Table 3_New insights in fluid monitoring for surgical patients. A concept study.docx by Audrius Andrijauskas (21751664)

“…</p>Results<p>The primary hypothesis was confirmed—aPD decreased as EQ_Hct decreased when EQ_Hct <40%, and a very weak positive correlation was found between EQ_Hct and absolute aPD (Spearman's correlation coefficient 0.1025, p < 0.001). …”

Table 2_New insights in fluid monitoring for surgical patients. A concept study.docx by Audrius Andrijauskas (21751664)

“…</p>Results<p>The primary hypothesis was confirmed—aPD decreased as EQ_Hct decreased when EQ_Hct <40%, and a very weak positive correlation was found between EQ_Hct and absolute aPD (Spearman's correlation coefficient 0.1025, p < 0.001). …”

Table 4_New insights in fluid monitoring for surgical patients. A concept study.docx by Audrius Andrijauskas (21751664)

“…</p>Results<p>The primary hypothesis was confirmed—aPD decreased as EQ_Hct decreased when EQ_Hct <40%, and a very weak positive correlation was found between EQ_Hct and absolute aPD (Spearman's correlation coefficient 0.1025, p < 0.001). …”

Table 5_New insights in fluid monitoring for surgical patients. A concept study.docx by Audrius Andrijauskas (21751664)

“…</p>Results<p>The primary hypothesis was confirmed—aPD decreased as EQ_Hct decreased when EQ_Hct <40%, and a very weak positive correlation was found between EQ_Hct and absolute aPD (Spearman's correlation coefficient 0.1025, p < 0.001). …”

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. …”