The nonprofit Urban Institute is dedicated to elevating the debate on social and economic
policy. For nearly five decades, Urban scholars have conducted research and offered evidence…

Deep neural networks have increased the accuracy of automatic segmentation, however
their accuracy depends on the availability of a large number of fully segmented images. …

The performance of deep neural networks typically increases with the number of training
images. However, not all images have the same importance towards improved performance …

… (D) Representative images from the frontal cortex, showing Iba1 + cells (arrows) and neurons
(arrowheads) from FGR and control brains. CA3: cornu ammonis 3. Data were analyzed …

Three novel imidazolium-based gemini surfactants had been synthesized and characterized
using different spectroscopic techniques. The surface properties of the synthesized …

BACKGROUND AND PURPOSE: Congenital diaphragmatic hernia is associated with high
mortality and morbidity, including evidence suggesting neurodevelopmental comorbidities …

… Also, its 1 H NMR spectrum showed a triplet at δ 7.50 (J = 5.87 Hz) assigned to the anomeric
proton, indicating the presence of the β-D-erythro-pentofuranose moiety [26]. Moreover, its …

… The reaction of 4-amino-6-methyl-1,2,4-triazine-3,5-dione with 2-deoxy-3,5-di-(4-methylbenzoyl)-α-D-erythro-pentofuranosyl
chloride in DMF and Et 3 N at room temperature afforded …

Deep learning models for medical image segmentation can fail unexpectedly and spectacularly
for pathological cases and images acquired at different centers than training images, …

… cm, VL and Vf, volume of the F and P, D is diffusion coefficient, qn is the positive roots of
equation tanqn… data on migration level (µg/cm2) versus time, the model parameter D was 3.6×10 …