Results 191 to 200 of about 30,204 (293)

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
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

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

open access: yesAdvanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan   +13 more
wiley   +1 more source

Orthogonal Ionic Liquid‐Based Extraction Strategy Enables Amyloid‐Specific Profiling of Aggregate Proteome

open access: yesAdvanced Science, EarlyView.
An orthogonal ionic‐liquid extraction (Orth‐iEA) enables selective isolation of amyloid fibrils. TMGBF4 disrupts hydrogen‐bonded β‐sheet networks to solubilize amyloid aggregates, whereas C12ImCl interacts with hydrophobic regions of non‐amyloid proteins.
Shiying Zheng   +10 more
wiley   +1 more source

Microglia‐Targeted Biomimetic Tetrahedral Framework Nucleic Acid Nanovesicles for Synergistic Treatment of Sepsis‐Associated Encephalopathy

open access: yesAdvanced Science, EarlyView.
Sepsis‐associated encephalopathy (SAE) lacks effective therapies. We developed ME@FDsi, a biomimetic nanodrug using a tetrahedral framework nucleic acid to deliver disulfiram and siTNFα. It crosses the blood‐brain barrier, targets M1 microglia, inhibits pyroptosis and inflammation, and scavenges ROS.
Huimin Shi   +15 more
wiley   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy