<i>In vitro</i> and <i>in vivo</i> antitumor activity of PEITC and Trisenox in imatinib resistant cells. by Jérome Kluza (5649763)

“…Cumulative survival data were compiled from two separate experiments and presented by a Kaplan–Meier survival analysis. GFP+ DA1-3b/M2 bearing mice were treated with Trisenox (4 mg/kg ip 5days/week) or PEITC (50 mg/kg ip 5days/week). …”

The effect of BMP-2 on type I collagen expression in HSFs. by Honghui Li (383749)

“…<p>The expression of type III collagen in HSFs after 3 days (A), 1 week (B) and 2 weeks (C). Lane 1-Untreated control, Lane 2–10 ng/ml BMP-2, Lane 3–50 ng/ml BMP-2, Lane 4–100 ng/ml BMP-2, Lane 5–10 ng/ml TGF-β1. …”

Pearson correlation between various aspects of selenocysteine insertion sequences from the seed alignment of Rfam family RF00031 [23]. by Evan Senter (110590)

“…Using the Monte Carlo algorithm, we determined the mean first passage time (MFPT), defined as the average taken over 50 runs, of the number of Monte Carlo steps taken to fold the empty structure into the MFE structure, where an absolute upper bound of 5 million steps was allowed in the simulation. …”

Live Fast, Die Young: Experimental Evidence of Population Extinction Risk due to Climate Change by Elvire Bestion (818248)

Supplementary Material for: Urine Metabolomics by ¹H-NMR Spectroscopy Indicates Associations between Serum 3,5-T₂ Concentrations and Intermediary Metabolism i... by Pietzner M. (4152400)

“…In detail, the odds for intermediate or suppressed serum 3,5-T₂ concentrations doubled owing to a 1-standard deviation (SD) decrease in urine trigonelline levels, or increased by 29-50% in relation to a 1-SD decrease in urine pyroglutamate, acetone and hippurate levels. …”

Changes in mRNA levels of microglial ion channels, transporters, and exchangers in the absence of microglial NKCC1 and after LPS treatment. by Krisztina Tóth (12009827)

“…(<b>C</b>) <i>Slc9a1</i>, <i>Slc8a1</i>, <i>Slc12a6</i>, <i>Clic1</i>, <i>Clcn3</i>, <i>Kcnk13</i>, <i>Kcnk6</i>, <i>Kcnj2</i>, <i>Sgk1</i>, <i>P2RY12</i> gene did not show altered expression between WT and NKCC1 KO microglia after intracisternal LPS treatment. …”

Image_4_NLRP6 controls pulmonary inflammation from cigarette smoke in a gut microbiota-dependent manner.tif by Mégane Nascimento (5445878)

Image_6_NLRP6 controls pulmonary inflammation from cigarette smoke in a gut microbiota-dependent manner.tif by Mégane Nascimento (5445878)

Image_2_NLRP6 controls pulmonary inflammation from cigarette smoke in a gut microbiota-dependent manner.tif by Mégane Nascimento (5445878)

Image_5_NLRP6 controls pulmonary inflammation from cigarette smoke in a gut microbiota-dependent manner.tif by Mégane Nascimento (5445878)

Image_8_NLRP6 controls pulmonary inflammation from cigarette smoke in a gut microbiota-dependent manner.tif by Mégane Nascimento (5445878)

Image_3_NLRP6 controls pulmonary inflammation from cigarette smoke in a gut microbiota-dependent manner.tif by Mégane Nascimento (5445878)

Image_7_NLRP6 controls pulmonary inflammation from cigarette smoke in a gut microbiota-dependent manner.tif by Mégane Nascimento (5445878)

Image_1_NLRP6 controls pulmonary inflammation from cigarette smoke in a gut microbiota-dependent manner.tif by Mégane Nascimento (5445878)

Monthly temperature changes during 1951–2002. by Evan H. Girvetz (256065)

Depth range modulation of ERP signals (Exp. 2). by Britta Graewe (332479)

Amount and type of maternal dietary fat induced altered Pe-induced vasoconstriction in the offspring. by Christopher J. Kelsall (173702)

“…<p>Values are mean ± SD (n = 6/group) concentration which produced 50% maximum response (EC₅₀) such that increasing values on the y-axis correspond to decreasing vasoconstriction. …”

Sequential broadside application of 100 µM FCCP at two separate regions in the same FDB fibre. by Joseph Bruton (635407)

“…Red vertical calibration bar in <b>A</b> represents 50 µm.</p>…”

HG module schematic. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Label data volume and label distribution. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”