Engulfment simulation by Mathieu Emily (39337)

Cell Sorting simulation by Mathieu Emily (39337)

Checkerboard simulation by Mathieu Emily (39337)

Demand relaxation in supplier selection processes by Felipe Vizzoto (7529924)

RER1 expression significantly reduces αSyn levels. by Hyo-Jin Park (4233949)

“…(B) Wild type RER1 expression significantly decreased αSyn levels (mean, 87.8 ±7.1%), but expression of RER1Δ25 resulted in significantly smaller effects on levels of αSyn (mean, 24.3 ±10.6%) (*p<0.05, **p<0.01; F_2,6 = 17.31, p = 0.0032) (n = 5/control, n = 7/RER1, n = 3/ RER1Δ25) in HEK293. …”

RT-qPCR quantification of the expression of <i>Lin28B</i> in peripheral blood monoculear cells. by Shu-Wen Cheng (484650)

“…(Bar: mean; Black dot: undetectable) (<b>A</b>). Patients with recurrent HCC had significantly higher expression levels of <i>Lin28B</i> than patients without recurrent HCC. …”

Urea and salt as supplementary diet for crossbreed milk cows by César Roberto Viana Teixeira (8402268)

“…Ten animals were used, mean body weight 480 kg ± 9,7, distributed in a 5 x 5 double Latin square, with treatments of supplements with different urea and mineral salt percentages, namely, 10:10; 10:20; 20:10 and 20:20, completed to 100% with corn meal. …”

sCD25 inhibits IL-2R signalling by sequestering secreted IL-2. by Shane E. Russell (303031)

“…<p>(<b>A–D</b>) Purified naive CD4+ T cells activated for 24 hrs under Th17 inducing conditions in the presence or absence of sCD25 and examined for levels of (<b>A</b>) p-Stat5 pY694, (<b>B</b>) intracellular IL-2 expression (<b>C</b>) surface binding of sCD25-His and (<b>D</b>) surface expression of endogenous CD25 by FACS analysis. …”

Land Management Practices Associated with House Loss in Wildfires by Philip Gibbons (120631)

“…Significant fuel variables in a logistic regression model we selected to predict house loss were (in order of decreasing effect): (1) the cover of trees and shrubs within 40 m of houses, (2) whether trees and shrubs within 40 m of houses was predominantly remnant or planted, (3) the upwind distance from houses to groups of trees or shrubs, (4) the upwind distance from houses to public forested land (irrespective of whether it was managed for nature conservation or logging), (5) the upwind distance from houses to prescribed burning within 5 years, and (6) the number of buildings or structures within 40 m of houses. …”

Description of data in 47 prefectures, Japan, 1975–2005. by Etsuji Suzuki (113381)

FITC-stained yeast binding to VEC is illustrated by Cara Hollmer (21646)

Quantification of VGLUT1 immunoreactivity in the molecular layer of the cerebellum from NBH, ES and LS 22L-animals. by Zuzana Šišková (286282)

Effect of oral tranexamic acid for macular edema associated with retinal vein occlusion or diabetes by Masayuki Takeyama (3683638)

Fluidigm analysis. by Mark McCully (4853851)

Evolving Highways Dataset by Sara Wigginton (797947)

Model Studies of Methacrylate Chain Transfer Polymerization Mediated by Cationic Zirconocene <i>tert</i>-Butyl Enolate by Bing Lian (1915672)

“…In this case, a moderate decrease in the molecular weight of the PMMAs is observed. …”

Data_Sheet_1_Estrogen Regulates Glucose Metabolism in Cattle Neutrophils Through Autophagy.ZIP by Xinbo Wang (1430794)

“…<p>Hypoglycemia resulting from a negative energy balance (NEB) in periparturient cattle is the major reason for a reduced glycogen content in polymorphonuclear neutrophils (PMNs). …”

Data_Sheet_1_Hesperetin but not ellagic acid increases myosin heavy chain expression and cell fusion in C2C12 myoblasts in the presence of oxidative stress.docx by Iris Cuijpers (19520122)

“…An oxidative stress-induced decrease in differentiation capacity of muscle satellite cells is a key factor in this process. …”

pri–miRNA abundance and Pol II occupancy at <i>MIR</i> genes in <i>pwr-1</i> and <i>pwr-2</i>. by Rae Eden Yumul (101996)

“…(C) Real-time RT-PCR analysis of other pri-miRNAs. A general decrease was observed in pri-miRNA transcript levels in both <i>pwr</i> alleles. …”

Comparison of different classifiers with varying amounts of imprecise data. by Mallory Sheth (6477662)

“…<p>This table compares the performance of different classifiers for the original MIMIC II data and a version of the MIMIC II data where 50% of observations were randomly perturbed by a value <i>ϵ</i>, distributed normally with mean zero and the empirical variance of the variable in question. …”