Results 261 to 270 of about 264,517 (319)
An ultralight, multilayer anisotropic tactile sensor—an artificial Pacinian corpuscle—exhibits ultrahigh tangential sensitivity (1022 kPa−1) and spatiotemporal sensing. It discriminates static, sliding, and rolling contacts, detects incipient stick–slip via high‑frequency signatures, and enhances robotic touch (100%/98.18% accuracy for active/passive ...
Jinghui Wang +12 more
wiley +1 more source
The electric‐field‐driven antiferroelectric‐to‐ferroelectric phase transition in epitaxial PbZrO3 films is directly visualized by in situ aberration‐corrected scanning transmission electron microscopy. A sequential transition pathway involving an orthorhombic ferrielectric phase and a monoclinic ferroelectric phase, ultimately stabilizing into a ...
Yan‐Peng Feng +6 more
wiley +1 more source
Comparison of image quality between Deep learning image reconstruction and Iterative reconstruction technique for CT Brain- a pilot study. [PDF]
Chandran M O +5 more
europepmc +1 more source
This study repurposes mitochondrial DNA mutations as endogenous barcodes for lineage tracing in human pluripotent stem cell‐derived organoids. Integrated with transcriptomic and spatial data, it reveals NOTCH‐mediated stromal‐progenitor crosstalk orchestrates clonal dynamics and spatial zonation during early hematopoietic development, offering a non ...
Yan Xue +17 more
wiley +1 more source
Image Quality and Lesion Detection of Multiplanar Reconstruction Images Using Deep Learning: Comparison with Hybrid Iterative Reconstruction. [PDF]
Yunaga H +6 more
europepmc +1 more source
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Performance of Iterative Reconstruction in Image Space Algorithm in Combination with Automatic Tube Current Modulation Compared to Filtered Back Projection in Brain CT Scan. [PDF]
Jafari S, Kolivand S.
europepmc +1 more source
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source

