Results 71 to 80 of about 1,556 (171)

Quantitative Detection of Entotic Cell‐In‐Cell Structures Using Deformable Segmentation and Deep Learning

open access: yesCytometry Part A, EarlyView.
ABSTRACT Cell‐in‐cell (CIC) structures are among the most intriguing cellular phenomena occasionally observed in human cancer specimens. Once regarded as incidental findings, accumulating evidence has linked specific CIC subtypes, particularly entosis, to tumor progression and patient prognosis.
Maria V. Leyba‐Mesa   +4 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

open access: yesDeep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li   +7 more
wiley   +1 more source

VQ‐Wave: A Physics‐Driven Spatiotemporal Deep Learning Approach for Noncontrast‐Enhanced Lung Ventilation and Perfusion MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman   +3 more
wiley   +1 more source

A Review of Mechanical Reinforcement and Piezoresistive Self‐Sensing in Carbon Nanotube Fiber Composites

open access: yesPolymer Composites, EarlyView.
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang   +5 more
wiley   +1 more source

Virtual Overlay Staining With Plasmonic Oligomer Metasurface

open access: yesSmall, EarlyView.
A scalable plasmonic metasurface enables “virtual staining” of living cells by enhancing optical contrast from refractive index differences. Through electrostatically assembled nanoparticle oligomers on a mirror, cellular components such as nuclei, mitochondria, and lipid‐rich regions are visualized without molecular dyes. This approach simplifies cell
Doeun Kim   +8 more
wiley   +1 more source

Recognition of Emotional States Using Multiscale Information Analysis of High Frequency EEG Oscillations

open access: yesEntropy, 2019
Exploring the manifestation of emotion in electroencephalogram (EEG) signals is helpful for improving the accuracy of emotion recognition. This paper introduced the novel features based on the multiscale information analysis (MIA) of EEG signals for ...
Zhilin Gao   +3 more
doaj   +1 more source

WFSuite: a Python software suite for X‐ray wavefront sensing and at‐wavelength metrology

open access: yesJournal of Synchrotron Radiation, EarlyView.
WFSuite is an open‐source Python suite for speckle‐based X‐ray wavefront reconstruction, offering both relative metrology and absolute phase modules. It streamlines wavefront characterization and feedback control for synchrotron and XFEL applications.WFSuite is a Python‐based software suite for X‐ray wavefront sensing and at‐wavelength metrology for ...
Xianbo Shi   +4 more
wiley   +1 more source

Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy