Results 201 to 210 of about 552,282 (301)

Super‐Resolution Compatible DNA Labeling Technique Reveals Chromatin Mobility and Organization Changes During Differentiation

open access: yesAdvanced Science, EarlyView.
A novel chromatin‐labeling probe is developed to investigate chromatin mobility during differentiation. The silicon rhodamine–conjugated dCTP is efficiently delivered into iPSCs and NSCs using a synthetic transporter. Super‐resolution microscopy and single‐particle tracking show decreased chromatin mobility during differentiation.
Maruthi K. Pabba   +11 more
wiley   +1 more source

Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning

open access: yesAdvanced Science, EarlyView.
AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
wiley   +1 more source

A multi-stage 3D convolutional neural network algorithm for CT-based lung segment parcellation. [PDF]

open access: yesJ Appl Clin Med Phys
Siddharthan T   +11 more
europepmc   +1 more source

ZnO Quantum Dots@CsPbBr3 Poly‐Heterocrystalline Film Enables High‐Performance Floating‐Gate Transistor Arrays for Edge Computing

open access: yesAdvanced Science, EarlyView.
The ZnO QDs@CsPbBr3 poly‐heterocrystalline film, featuring a semi‐coherent interface, delivers high electrical conductivity and excellent photoelectric properties. Functioning as a floating gate in photosensitive transistors, it enables high hole storage at 1 V and achieves a conductivity ratio of ≈3.57×105.
Jiajun Xu   +9 more
wiley   +1 more source

Convolutional Neural Networks for Detecting and Mapping Crowds in First Person Vision Applications [PDF]

open access: green, 2015
Juan Sebastián Olier   +3 more
openalex   +1 more source

Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling

open access: yesAdvanced Science, EarlyView.
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji   +7 more
wiley   +1 more source

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