Results 41 to 50 of about 7,775,419 (309)
The Recognition-Theory of Perception. Recognition. [PDF]
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Aster glehni F. Schmidt (AG), is a natural product known to have anti-obesity effects, but the mechanism underlying these effects is not well documented. We hypothesized that AG may have inhibitory effects on enzymes related to lipid accumulation. Herein,
Hyunbeom Lee+4 more
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Palladium-catalysed formation of vicinal all-carbon quaternary centres via propargylation
Formation of vicinal, quaternary stereocentres is challenging, but such products are commonly encountered in nature. Here, the authors report a palladium catalysed process to form vicinal quaternary carbons via propargylation, including in enantiopure ...
Xin Huang+5 more
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Deep learning for terahertz image denoising in nondestructive historical document analysis
Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta+11 more
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Measure Recognition Problem [PDF]
This is an article in mathematics, specifically in set theory. On the example of the Measure Recognition Problem (MRP) the article highlights the phenomenon of the utility of a multidisciplinary mathematical approach to a single mathematical problem, in ...
Cantor G+4 more
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Deep High-Resolution Representation Learning for Visual Recognition [PDF]
High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection.
Jingdong Wang+11 more
semanticscholar +1 more source
CUG-binding protein 1 (CUGBP1) is a ubiquitous RNA-binding protein implicated in altered RNA metabolism linked to myotonic dystrophy type 1. Crystal structures of the RRM domains in complex with cognate RNAs (Teplova et al., 2010) reveal molecular details for the selectivity of CUGBP1 toward GU-rich mRNA elements.
Tripsianes, Konstantinos+1 more
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Segmentation is one of the most important parts of medical image analysis. Manual segmentation is very cumbersome, time-consuming, and prone to inter-observer variability. Fully automatic segmentation approaches require a large amount of labeled training
Tanja Kurzendorfer+6 more
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Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting ...
Christian Bergler+7 more
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