Results 191 to 200 of about 104,361 (260)
Strong Target Attack on Hypergraph Neural Networks via Label Poisoning and Structure Modification. [PDF]
Huang J, Sun Q, Zhang N, Zheng M.
europepmc +1 more source
This study identifies FXYD1 as an epigenetically silenced tumor suppressor in breast cancer. DNA methylation turns off the gene FXYD1 in breast cancer, and low levels predict worse outcomes. Restoring FXYD1 limits breast cancer cells proliferation and metastasis. In the nucleus, FXYD1 recruits the E3 ligase MAEA to K63‐ubiquitinate DDX5 for proteasomal
Ping Wen +11 more
wiley +1 more source
TGN-MCDS: A Temporal Graph Network-Based Algorithm for Cluster-Head Optimization in Large-Scale FANETs. [PDF]
Fan X, Yang Y, Zhang S, Cai W.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Structure-aware generalization for heterogeneous histopathology via prototype-based multiple instance learning. [PDF]
Yu Z +9 more
europepmc +1 more source
The cascade supramolecular assembly of charge‐transfer arrays not only triggered a topological transformation from nanofiber to nanorod and vesicles, but also promoted single‐molecule phosphorescent resonance energy transfer, expanding phosphorescence emission at 500 nm to near‐infrared delayed fluorescence emission at 650 nm with a lifetime of 11.20 ...
Zhuo Lei +5 more
wiley +1 more source
Tight Bounds Between the Jensen-Shannon Divergence and the Minmax Divergence. [PDF]
Akopyan A +3 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Eco-Inspired terraform networks emerge from material self-organization. [PDF]
Convertino M, Migliore E, Martines A.
europepmc +1 more source
ALKBH3 m1A Demethylase Deficiency Reduces Alzheimer's Amyloid‐β Pathology
This study identifies that ALKBH3‐driven m1A demethylation orchestrates Alzheimer's disease progression by disrupting mitochondrial and synaptic homeostasis. This epitranscriptomic mechanism suppresses PINK1‐mediated mitophagy via m1A erasure, leading to mitochondrial dysfunction, oxidative stress, elevated Aβ production, and impaired microglial ...
Yueyang Li +25 more
wiley +1 more source

