Results 151 to 160 of about 308,148 (284)

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

open access: yesAdvanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na   +10 more
wiley   +1 more source

HER2 and HLA-A*02 dual CAR-T cells utilize LOH in a NOT logic gate to address on-target off-tumor toxicity. [PDF]

open access: yesJ Immunother Cancer, 2023
Bassan D   +16 more
europepmc   +1 more source

Stress‐Programmed Immune Niches Fuel TNFR2+ Treg Activation and Drive Neoadjuvant Chemotherapy Resistance in Breast Cancer

open access: yesAdvanced Science, EarlyView.
Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao   +18 more
wiley   +1 more source

All-photon logic gate calculation based on phase change materials. [PDF]

open access: yesNanophotonics
Sun J   +9 more
europepmc   +1 more source

Dangling-bond logic gates on a Si(100)-(2 × 1)–H surface

open access: green, 2012
Hiroyo Kawai   +5 more
openalex   +2 more sources

Performance Perspective of Gate-All-Around Double Nanosheet CMOS Beyond High-Speed Logic Applications

open access: diamond, 2022
Eddy Simoen   +7 more
openalex   +2 more sources

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

open access: yesAdvanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang   +10 more
wiley   +1 more source

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