Results 241 to 250 of about 17,286,028 (305)

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

open access: yesAdvanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang   +5 more
wiley   +1 more source

Dual pKa Lipid Nanoparticles for Lung‐tropic mRNA Delivery and pH‐Programmed Endosomal Escape

open access: yesAdvanced Science, EarlyView.
Lipid nanoparticles’ bottleneck lies in low endosomal escape efficiency and liver‐dominant delivery after intravenous administration. To overcome these limitations, we present a stepwise pH‐programmed lipid nanoparticle system enabled by our newly synthesized ionizable lipid.
Seong Gi Lim   +12 more
wiley   +1 more source

Symbiont‐Induced HSP83 Establishes Two‐Tiered Control of Antifungal Immunity in an Invasive Beetle–Fungus Complex

open access: yesAdvanced Science, EarlyView.
In an invasive beetle–fungus complex, the mutualist Leptographium procerum induces host HSP83 and modulates Toll‐dependent antifungal immunity. HSP83 mediates two‐tiered control by associating with selected fungal recognition receptors and restraining Dorsal‐driven antimicrobial peptide transcription.
Qingtai Yang   +8 more
wiley   +1 more source

Constrained Forest Methane Sink by Thermal Adaptation of Soil Methanotrophs

open access: yesAdvanced Science, EarlyView.
Climate warming can stimulate methanotroph‐mediated CH4 oxidation in forest soils, thereby mitigating the increase in atmospheric CH4 concentrations. By integrating evidence from a macro‐climatic thermal gradient and a 70‐day incubation experiment, this study demonstrates that microbial methanotrophs can adapt to long‐term temperature changes at the ...
Baizhi Jiang   +5 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

open access: yesAdvanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko   +8 more
wiley   +1 more source

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