Results 211 to 220 of about 121,389 (288)

Freestanding Hierarchical‐Porous BCZT Thin Films Enable Efficient Ultrasonic Energy Harvesting in Soft Tissue

open access: yesAdvanced Science, EarlyView.
Freestanding hierarchical‐porous BCZT thin films integrate a compliant porous surface with a dense piezoceramic backbone to balance mechanical reliability, voltage sensitivity, and acoustic coupling. The films enable stable wearable pulse‐wave monitoring and enhanced tissue‐coupled ultrasonic energy harvesting, offering a promising route toward soft ...
Zifan Li   +14 more
wiley   +1 more source

Oral Nanomicelle‐Mediated Sequential Butyrate Production in the Intestine for Ulcerative Colitis and Immunosuppression Treatment

open access: yesAdvanced Science, EarlyView.
After oral administration, inodorous GLU‐BA self‐assembles into nanomicelles in aqueous environments to resist premature gastric adsorption. Upon reaching the intestine, endogenous esterases rapidly cleave the built‐in ester bonds in these nanomicelles to release BA and GLU, with GLU further metabolized by gut microbiota to gradually generate BA ...
Feifei Xin   +9 more
wiley   +1 more source

Photoactivation‐Enabled Tunable Room‐Temperature Phosphorescence and Thermally Activated Delayed Fluorescence in Crystalline Materials

open access: yesAdvanced Science, EarlyView.
This work is the first to demonstrate the regulation of photoactivated room‐temperature phosphorescence (RTP) and thermally activated delayed fluorescence (TADF) in crystalline materials without any pretreatment. Furthermore, we reveal the underlying mechanisms by uncovering the role of host‐guest energy level alignment, exciton lifetime, crystallinity,
Lisha Zhang   +5 more
wiley   +1 more source

Virtual photon-counting micro-CT platform for simulation of head and neck cancer imaging in mice. [PDF]

open access: yesPhys Med Biol
Nadkarni R   +6 more
europepmc   +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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