Results 151 to 160 of about 15,536 (307)
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
A method of key positioningbased on laser virtual keyboard
The paper puts forward a method of virtual keyboard key positioning based on infrared laser reflection and image processing technology.In this paper,the positioning principle is introduced first.And the experimental system is established based on image ...
GAO Xiang, ZHANG Xiao-jing
doaj
Human pluripotent stem cells were differentiated to cTnT+ cardiomyocytes and imaged throughout the process using phase contrast. We predicted differentiation efficiency (cTnT+ area) from phase contrast and compared model performance with a live‐cell cTnT‐GFP reporter.
Austin K. Feeney +6 more
wiley +1 more source
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li +14 more
wiley +1 more source
Dynamic Calibration of DEM Simulations Using Rotating Drum Experiments Using the Mean Absolute Error
Calibrating DEM simulations is challenging due to unknown microscopic parameters. Rotating drum experiments are combined with image‐based analysis and Latin Hypercube Sampling (LHS). An area‐based Mean Absolute Error (MAE) enables reliable identification of optimal parameter sets.
Marius Hoffmann +2 more
wiley +1 more source
Model split-based data privacy protection method for federated learning
Split learning (SL) enables data privacy preservation by allowing clients to collaboratively train a deep learning model with the server without sharing raw data. However, the SL still has limitations such as potential data privacy leakage.
CHEN Ka
doaj
Loss-aware binarization of deep networks
Deep neural network models, though very powerful and highly successful, are computationally expensive in terms of space and time. Recently, there have been a number of attempts on binarizing the network weights and activations.
Yao, Quanming, Hou, Lu, Kwok, James T.
core
ABSTRACT Arp2/3 complex is a seven‐component protein complex that facilitates the assembly of branched actin filament networks by binding to pre‐existing “mother” actin filaments and initiating the nucleation of new branched “daughter” filaments. Arp2/3 complex must be activated by a nucleation promoting factor such as the WASP/Scar protein family. The
Caitlin A. Anderson +8 more
wiley +1 more source
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
Acoustic‐driven surface cleaning with millimeter‐sized bubbles at translational resonance
Time‐lapse visualization comparing bubble trajectories. The top panel (0 Hz) shows a bubble's linear path under no acoustic forcing, while the bottom panel (50 Hz) demonstrates the oscillatory motion induced by acoustic waves at a resonance mode. This mechanism holds promising potential for applications such as surface cleaning.
Yan Jun Lin +2 more
wiley +1 more source

