Results 171 to 180 of about 2,848,958 (338)
Learnable Diffusion Framework for Mouse V1 Neural Decoding
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Ultrafast Multilevel Switching and Synaptic Behavior in a Planar Quantum Topological Memristor
Dry‐transferred Bi2Te3 layers enable a planar quantum topological memristor framework. In‐plane topological surface states facilitate ultrafast & low‐power operations. Coexisting analog and digital modes support current‐controlled multilevel states. PQTM exhibits 105 s retention, 103 cycles endurance, and reproducibility across 24 devices.
Mamoon Ur Rashid +12 more
wiley +1 more source
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source
Quantitative Kernel estimation from traffic signs using slanted edge spatial frequency response as a sharpness metric. [PDF]
Pandey A +4 more
europepmc +1 more source
Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay
An AI‐facilitated real‐time digital micromotor tracking‐enabled immunoassay is developed, which leverages a self‐developed multi‐microparticle tracking system to monitor micromotor motion trajectories in a real‐time manner for digital protein analysis.
Jingjing Shi +6 more
wiley +1 more source
A blind image super-resolution network guided by kernel estimation and structural prior knowledge. [PDF]
Zhang J +10 more
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans +8 more
wiley +1 more source
A Fully Self‐Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis
This study reports a system‐level fully self‐powered digital wearable system (FS‐DWS) for the auxiliary treatment of plantar fasciitis. By integrating arch support, energy harvesting, wearable sensing, and machine learning‐driven closed‐loop visualized feedback, the system enables effective plantar pressure reduction and self‐powered, real‐time plantar
Jiacheng Hou +10 more
wiley +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

