Results 1 to 10 of about 1,678,161 (269)
Duaal processes in recognition and in recognition failure [PDF]
It is argued that adherence of the results of experiments in the recognition failure paradigm to the function observed by Tulving and Wiseman (1975) reflects the operation of two distinct processes in recognition similar to those described by Mandler (1979, 1980).
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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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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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Sparse self-attention aggregation networks for neural sequence slice interpolation
Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 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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We improve data extrapolation for truncated computed tomography (CT) projections by using Helgason-Ludwig (HL) consistency conditions that mathematically describe the overlap of information between projections. First, we theoretically derive a 2D Fourier
Yan Xia +5 more
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Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors.
Mingming Tan +5 more
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Exploring Misclassification Information for Fine-Grained Image Classification
Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
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