Waterborne Tebuconazole Exposure Induces Male-Biased Sex Differentiation in Zebrafish (Danio rerio) Larvae via Aromatase Inhibition by Kun Qiao (6017606)

Subjects:

Waterborne Tebuconazole Exposure Induces Male-Biased Sex Differentiation in Zebrafish (Danio rerio) Larvae via Aromatase Inhibition by Kun Qiao (6017606)

Subjects:

Waterborne Tebuconazole Exposure Induces Male-Biased Sex Differentiation in Zebrafish (Danio rerio) Larvae via Aromatase Inhibition by Kun Qiao (6017606)

Subjects:

Waterborne Tebuconazole Exposure Induces Male-Biased Sex Differentiation in Zebrafish (Danio rerio) Larvae via Aromatase Inhibition by Kun Qiao (6017606)

Subjects:

Waterborne Tebuconazole Exposure Induces Male-Biased Sex Differentiation in Zebrafish (Danio rerio) Larvae via Aromatase Inhibition by Kun Qiao (6017606)

Subjects:

Waterborne Tebuconazole Exposure Induces Male-Biased Sex Differentiation in Zebrafish (Danio rerio) Larvae via Aromatase Inhibition by Kun Qiao (6017606)

Subjects:

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…However, how global land use changes impact soil N supply and potential N loss remains elusive. By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

Decrease in cleavage score by randomly permuting string-of-beads vaccines. by Emilio Dorigatti (9558024)

“…<p>(a) For each vaccine in the Pareto frontier of each bootstrap, we created 50 new string-of-beads by randomly permuting its epitopes and compared the cleavage scores of the two vaccines. …”

Decreased Incidence of Type 1 Diabetes in Young Finnish Children by Anna Parviainen (9343391)

“…In the middle age group, a significant decrease was observed only among females. …”

Data_Sheet_1_Microclimatic Warming Leads to a Decrease in Species and Growth Form Diversity: Insights From a Tropical Alpine Grassland.PDF by Sisimac A. Duchicela (11503918)

“…To understand the likely trajectory of these shifts in the Andes, we conducted a warming experiment in the northern Andes—using open-top chambers (OTC). …”

Decreased echinocandin susceptibility in <i>Candida parapsilosis</i> causing candidemia and emergence of a pan-echinocandin resistant case in China by Yating Ning (11264310)

Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

Does Mean Platelet Volume Decrease in the presence of Coronary Artery Fistula? by Isa Sincer (7234577)

“…<div><p>Abstract Background: Coronary artery fistula (CAF) is an abnormal connection that links a coronary artery to a cardiac chamber or another major blood vessel. …”

Repeated LSPC treatment prolongs survival of and decreases PrP^Res accumulation in a subset of prion-infected mice. by Heather Bender (363996)

DataSheet1_Decreasing viscosity and increasing accessible load by replacing classical diluents with a hydrotrope in liquid–liquid extraction.docx by Asmae El Maangar (19690522)

“…We show that using hydrotropes as a diluent decreases the viscosity of solutions by more than a factor of ten, even under high load by extracted cations. …”

Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD. by Rozita Mohd (7411322)

Partial correlation of <i>ε</i>_max (left column) and IC₅₀ (right column) estimates at 10 days and 20 days (first and second bar of each color, respectively) o... by Hope Murphy (8843516)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Neural networks classify states which differ in neuronal activity levels using ensembles of neurons that increase/decrease their activity in each state. by Nicholas A. Frost (10739821)

“…As a result, there is an increase (neurons 51:100) or decrease (neurons 1:50) in activity levels in State B compared to State A. …”