The cytoplasmic and extracellular domains are required for Sdc function. by Margaret U. Nguyen (3177789)

PTE inhibited food uptake. by YiHong Ding (689964)

“…<p>(a) The pumping rate of pharynx was gradually decreased with the increased concentrations of PTE. …”

<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). …”

Sensitivity of the long-term reduction in microfilarial load in individuals under 20 years of age to the assumed rate of decay of vaccine efficacy. by Hugo C. Turner (407442)

“…We illustrate with a pre-control endemicity of 40% microfilarial prevalence. …”

Metastatic castration resistant prostate cancer patients’ experience with Radium-223 treatment in Japan by Koichiro Akakura (760101)

“…Baseline median CTSQ scores SWT: 66.1 (IQR19.7), ET: 75.0 (IQR45), and FSE 68.8 (IQR 34.4) were unchanged during vists 3 and 5, but the SWT (-3.57 [IQR17.9]) and ET (-5.0 [IQR30]) decreased while FSE was unchanged (0.0 [IQR31.25]) at EOO. …”

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. …”

Task and behavior. by Susanna C. Weber (5873576)

“…</b> Change in liking ratings as a function of game outcomes. Liking decreased from pre- to postgame specifically for lost items but remained similar for won items (liking won pre versus won post: t(27) = 0.52, <i>p</i> = 0.609; liking lost pre versus lost post: t(27) = 4.50, <i>p</i> < 0.001). …”

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

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

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. …”

The structure of the context guided block. 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. …”

SEnet module. 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. …”

AC-LayeringNetV2 architecture module. 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. …”

Cracks included in the dataset. 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. …”

Loss function comparison plot. 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. …”

Edge device performance benchmarking. 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. …”

Typical error cases. 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. …”

Computational efficiency comparison. 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. …”