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Based on several lines of interesting data, the authors conclude that FMRP, though associated with stalled ribosomes, does not determine the position on the mRNAs at which ribosomes stall. Although ...
Description: The NCI graph datasets are commonly used as the benchmark for graph classification. Each NCI dataset belongs to a bioassay task for anticancer activity prediction, where each chemical ...
A novel multi-channel-based 3D convolutional neural network (3D-CNN) is proposed in this paper to classify sleep stages. Time domain features, frequency domain features, and time-frequency domain ...
1D CNN: Processes spectral information along the channel dimension 2D CNN: Captures spatial patterns within hyperspectral image patches 3D CNN: Jointly models both spatial and spectral information ...
Many studies have focused on classifying lung nodules in CT scans, primarily utilizing 2D approaches. However, CT scans are inherently 3D representations, which presents challenges for traditional ...
Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...
Kanazawa University, report in Small, on how short peptides self-assemble linearly on atomically-thick solid surfaces, such ...
A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of ...
With the "3dSen VR" emulator, retro fans can experience beloved 2D NES classics in full 3D dioramas for the first time – also in virtual reality. Developer Tran Vu Truc, founder of Geod Studio ...
Mario has had plenty of memorable 3D adventures beginning on N64, but some have clearly been better than others.
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
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