Results 171 to 180 of about 1,160,952 (340)

Imaging of Lipid Droplets in Living Cells and Mice with Metabolic Dysfunction‐Associated Steatotic Liver Disease via a Galactose‐Modified Supramolecular Near‐Infrared Fluorescent Glycoprobe

open access: yesAdvanced Functional Materials, EarlyView.
A galactose‐modified supramolecular near‐infrared (NIR) glycoprobe, TCF‐FBN@Gal‐BSA, enables targeted delivery to the liver through the asialoglycoprotein receptor (ASGPR) and facilitates liver‐targeting fluorescence visualization of lipid droplets (LDs) in metabolic dysfunction‐associated steatotic liver disease (MASLD) mice.
Han‐Min Wang   +12 more
wiley   +1 more source

From Low Symmetry to High Dissymmetry: Chiral Plasmonic Films of Binary and Nanobipyramid Assemblies

open access: yesAdvanced Functional Materials, EarlyView.
This work develops highly dissymmetric chiral plasmonic thin films by helically assembling gold nano bipyramids within a liquid‐crystal template. Engineering of the chiroptical response is achieved by varying particle size and geometry, as well as preparing binary assemblies.
Martyna Wasiluk   +10 more
wiley   +1 more source

Fast Neutron Detector Based on Hybrid 2D Perovskite Thin Films

open access: yesAdvanced Functional Materials, EarlyView.
This work presents the direct detection of fast neutrons using flexible hybrid 2D perovskite (PEA2PbBr4) thin‐film detectors. Thanks to their high low‐Z elements content and good charge transport, these materials enable efficient neutron detection. The thin film configuration allowed the operation at low voltage, and offer scalability, flexibility, and
Ilaria Fratelli   +11 more
wiley   +1 more source

Associations between perceived discrimination and health: a cross-sectional public health study. [PDF]

open access: yesBMC Public Health
Friesinger JG   +4 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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