Results 161 to 170 of about 11,782,843 (259)

Long‐Term Expandable Periosteal Organoids Reconstruct a Functional Regenerative Niche That Support Hematopoietic Stem Cell Maintenance and Bone Repair

Advanced Science, EarlyView.
A robust periosteal organoid system enables long‐term expansion while preserving native cellular heterogeneity. These organoids recapitulate functional niche environments, support hematopoietic stem cell maintenance, and attenuate aging‐associated decline ex vivo.
Jia Qing, Lanxin Gu, Lipeng Fu, Xin Gao, Zechuan Li, Hui Zhang, Wenpeng Song, Huixin Lv, Yongsheng Zhou, Ping Zhang   +9 more
wiley   +1 more source

Human Engineered Heart Tissues Reproduce Trigger‐ and Substrate‐Driven Mechanisms of Ventricular Tachycardia

Advanced Science, EarlyView.
Engineered heart tissues (EHTs) derived from human iPSCs replicate mechanisms of ventricular tachycardia at the tissue level. Acquired Long‐QT conditions cause early afterdepolarizations, wavebreak, and transient rotors; in contrast, focal cryoinjury forms a stable substrate that supports ongoing reentry.
Matthew Fiedler, Alejandra Vasquez Limeta, Ernesto Reyes Sanchez, Leah Carter, Francisco Altamirano   +4 more
wiley   +1 more source

From Spectral Maps to Biomedical Evidence: A Minimum Evidentiary Framework for Label‐Free Raman Imaging (Reply to Letter‐to‐the‐Editor)

Advanced Science, EarlyView.
Jiaxin Li, Xiaoyu Zhao, Jun Yu
wiley   +1 more source

XChrom: A Cross‐Cell Chromatin Accessibility Prediction Model Integrating Genomic Sequence and Cellular Context

Advanced Science, EarlyView.
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao, Xuan Liang, Wenwen Zhang, Dongmei Han, Yurun Li, Zhen Wang   +5 more
wiley   +1 more source

Neutron Depth Profiling: The Core Link Connecting the Microscopic Mechanisms of Lithium‐Ion Batteries With Intelligent Design

Advanced Science, EarlyView.
Neutron depth profiling exploits the 6Li(n,3H)4He reaction to provide quantitative, isotope‐specific, depth‐resolved maps of lithium inside operating lithium‐ion batteries, directly linking lithium transport, dendrite growth and interfacial short‐circuiting to a physics‐informed machine‐learning roadmap that turns this non‐destructive operando ...
Yulong Zhang, Chunjing Yue, Shijiao Liu, Muyang Chen, Xiaokang Shi, Rui Tan, Hongqing Hao, Jie Yang, Xinhua Liu   +8 more
wiley   +1 more source

Accelerating High‐Fidelity Airfoil Design via Physics‐Informed Video Diffusion Model

Advanced Science, EarlyView.
Physics‐informed video diffusion enables rapid inverse aerodynamic design by mapping target lift‐to‐drag response to airfoil geometries and full‐field flow distributions. Trained on 53 400 DNS samples, the model achieves over 90% fidelity with ∼30 s inference, while experimentally realized propeller designs demonstrate a practical pathway from ...
Yifeng Ai, Yijia Guo, Hongfu Zhang, Lei Zhou, Tiejun Huang, Weiqiu Chen, Xuhui He, Peng Guo, C. W. Lim, Lei Ma   +9 more
wiley   +1 more source

Mechanically‐Gated Stochastic Resonance for All‐Optical Acoustic Sensing in Noisy Environments

Advanced Science, EarlyView.
A mechanically‐gated stochastic resonance (MGSR) sensing system is demonstrated, wherein stochastic resonance is enabled by an all‐optical bistable fiber Bragg grating feedback loop and gated by mechanical resonance. Under ambient noise, the system generates bistable outputs satisfying the Kramers escape‐rate condition, yielding signal‐to‐noise ratio ...
Xuyu Zhang, Minzheng Sun, Cunzheng Fan, Shuolong Zhu, Qilin Hong, Pan Xu, Min Zhu, Zhengliang Hu, Yongchao Zou, Qizhen Sun   +9 more
wiley   +1 more source

Image denoising by adaptive lifting schemes

, 2010
Image denoising by adaptive lifting ...
Abid, Manel, Cagnazzo, M., Pesquet-Popescu, Beatrice   +2 more
core  

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source