Results 251 to 260 of about 10,284,296 (292)

H4K12 Lactylation Regulates NDUFS7 to Drive Microglia Reverse Electron Transport in Spinal Cord Injury

Advanced Science, EarlyView.
Lactate accumulation after SCI promotes H4K12la lactylation, which upregulates NDUFS7, triggering mitochondrial RET and ROS, enforcing pro‐inflammatory microglial polarization. MM@mPTC, a biomimetic nanotherapeutic, degrades LDHA in activated microglia, reducing H4K12la lactylation and blocking RET, thus curbing ROS, fostering a reparative phenotype ...
Chenglong Hong, Zhichen Jiang, Zhouwei Wu, Chenyu Wu, Jiang Liu, Kaijie Guo, Yihui Liang, Shaobo Xu, Yuchen Jin, Yong Xiao, Lei Guo, Hui Xu, Sunren Sheng, Chenggui Wang   +13 more
wiley   +1 more source

Explainable few-shot learning workflow for detecting invasive and exotic tree species. [PDF]

Sci Rep
Gevaert CM, Aguiar Pedro A, Ku O, Cheng H, Chandramouli P, Dadrass Javan F, Nattino F, Georgievska S.   +7 more
europepmc   +1 more source

Streamlining the annotation process by radiologists of volumetric medical images with few-shot learning. [PDF]

Int J Comput Assist Radiol Surg
Ryabtsev A, Lederman R, Sosna J, Joskowicz L.   +3 more
europepmc   +1 more source

Few-shot learning for non-vitrified ice segmentation. [PDF]

Sci Rep
Vivas-Lago A, Castaño-Díez D.
europepmc   +1 more source

Self-supervised and few-shot learning for robust bioaerosol monitoring. [PDF]

Aerobiologia (Bologna)
Willi A, Baumann P, Erb S, Gröger F, Zeder Y, Lionetti S.   +5 more
europepmc   +1 more source

Discovery of antimicrobial peptides targeting Acinetobacter baumannii via a pre-trained and fine-tuned few-shot learning-based pipeline. [PDF]

Nat Commun
Huang J, Zhang W, Wang A, Jiang Y, Lai Y, Xu Y, Wang C, Zhao J, Zhang P, Ji J.   +9 more
europepmc   +1 more source

A Concise Review of Recent Few-Shot Meta-Learning Methods [PDF]

Neurocomputing, 2021
Few-shot meta-learning has been recently reviving with expectations to mimic humanity’s fast adaption to new concepts based on prior knowledge. In this short communication, we give a concise review on recent representative methods in few-shot meta ...
Xiaoxu Li, Jing-Hao Xue, Zhanyu Ma
exaly   +2 more sources

Few-Shot Learning With a Strong Teacher

IEEE Transactions on Pattern Analysis and Machine Intelligence
Few-shot learning (FSL) aims to generate a classifier using limited labeled examples. Many existing works take the meta-learning approach, constructing a few-shot learner that can learn from few-shot examples to generate a classifier. Typically, the few-shot learner is constructed or meta-trained by sampling multiple few-shot tasks in turn and ...
Han-Jia Ye
exaly   +6 more sources