Image_3_Specificity of Saliva Esterases by Wine Carboxylic Esters and Inhibition by Wine Phenolic Compounds Under Simulated Oral Conditions.TIFF by María Pérez-Jiménez (11644936)

“…Finally, under simulated wine consumption, a decrease in EA was produced, which was mainly provoked by the decrease in the salivary pH. …”

Image_3_Pre-transplant Thymic Function Predicts Is Associated With Patient Death After Kidney Transplantation.TIF by Cécile Courivaud (7912919)

“…One hundred and thirty-six patients having received a first kidney transplantation were included in the validation cohort. …”

Image_4_Specificity of Saliva Esterases by Wine Carboxylic Esters and Inhibition by Wine Phenolic Compounds Under Simulated Oral Conditions.TIFF by María Pérez-Jiménez (11644936)

“…Finally, under simulated wine consumption, a decrease in EA was produced, which was mainly provoked by the decrease in the salivary pH. …”

Data_Sheet_1_Pre-transplant Thymic Function Predicts Is Associated With Patient Death After Kidney Transplantation.doc by Cécile Courivaud (7912919)

“…One hundred and thirty-six patients having received a first kidney transplantation were included in the validation cohort. …”

Overexpression of c-Myc in ΔS6 livers does not prevent overgrowth or tumor development. by Sarah A. Comerford (3854917)

“…ΔS6:c-Myc mice show a modest, but statistically significant decrease in tumor latency relative to ΔS6 (<i>P</i> = .022) or Alb-c-Myc (<i>P</i> = .0003) mice (Log-rank (Mantel-Cox) test).…”

Supplementary Material for: Nasonia Parasitic Wasps Escape from Haller's Rule by Diphasic, Partially Isometric Brain-Body Size Scaling and Selective Neuropil Adaptations by Groothuis J. (4531123)

“…We show that <i>Nasonia</i> exhibits diphasic brain-body size scaling: larger wasps scale allometrically, following Haller's rule, whereas the smallest wasps show isometric scaling. …”

Difference in GHG emissions (<em>x</em>-axis) and food availability (<em>y</em>-axis) in 2050 for the different scenarios with respect to 'TREND' by H Valin (557174)

“…Panels (A)–(C) and (D) delineate domains where food provision increases ((A), (B)) or decreases ((C), (D)) and GHG emission savings increase ((B), (D)) or decrease ((A), (C)). …”

QRT-PCR for 27-hydroxylase and ABCA1 message in NS398-treated THP-1 cells exposed to prostaglandins by Edwin SL Chan (28334)

“…</p><p></p> 27-Hydroxylase message is decreased by the COX-2 inhibitor NS398 and this decrease is reversed by prostaglandins E, E, and D. …”

Image_3_Conditions Under Which Glutathione Disrupts the Biofilms and Improves Antibiotic Efficacy of Both ESKAPE and Non-ESKAPE Species.tif by Theerthankar Das (303852)

“…Biological levels (10 mM) of GSH did not have a significant effect in inhibiting growth or disrupting the biofilm in four out of six species tested. …”

S2 Data - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”

S3 Data - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”

S6 Data - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”

S7 Data - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”

Image_2_Conditions Under Which Glutathione Disrupts the Biofilms and Improves Antibiotic Efficacy of Both ESKAPE and Non-ESKAPE Species.tif by Theerthankar Das (303852)

“…Biological levels (10 mM) of GSH did not have a significant effect in inhibiting growth or disrupting the biofilm in four out of six species tested. …”

S8 Data - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”

Image_1_Conditions Under Which Glutathione Disrupts the Biofilms and Improves Antibiotic Efficacy of Both ESKAPE and Non-ESKAPE Species.tif by Theerthankar Das (303852)

“…Biological levels (10 mM) of GSH did not have a significant effect in inhibiting growth or disrupting the biofilm in four out of six species tested. …”

S5 Data - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”

S4 Data - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”

S1 Data - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”

S1 File - by Idika E. Okorie (11350612)

“…<div><p>We carry out a time series analysis on the yearly crop yield data in six east African countries (Burundi, Kenya, Somalia, Tanzania, Uganda and Rwanda) using the autoregressive integrated moving average (ARIMA) model. …”