Results 181 to 190 of about 45,910 (214)

YAP1‐Driven Pathogenic Fibro‐Adipogenic Progenitors Secrete IL‐6 and FGF21 to Mediate Muscle‐Bone Crosstalk and Promote Bone Loss

open access: yesAdvanced Science, EarlyView.
Fibro‐adipogenic progenitors (FAPs) in atrophic muscle undergo YAP1‐driven pathogenic activation, secreting IL‐6 and FGF21 as bone‐catabolic myokines that mediate muscle‐bone crosstalk and promote bone loss. Genetic or pharmacological targeting of this YAP1‐FAP‐myokine axis rescues skeletal deterioration, identifying FAP‐derived myokines as therapeutic
Xiaoyu Cai   +16 more
wiley   +1 more source

Single‐Atom‐Enhanced Fully Inkjet‐Printed Electrochemical Sensor for Dopamine Detection

open access: yesAdvanced Science, EarlyView.
Fully inkjet‐printed paper‐based dopamine sensors are fabricated using nitrogen‐doped graphene acid functionalized with copper single atoms. The copper sites uniquely enhance dopamine oxidation through strong molecular adsorption, as verified by electrochemical measurements and DFT calculations. The approach highlights the potential of single‐atom inks
Martin‐Alex Nalepa   +11 more
wiley   +1 more source

Magnetoelectric Nanoparticles Enable Modulation of Cortical Networks by Low‐Intensity Static Magnetic Fields In Vitro

open access: yesAdvanced Science, EarlyView.
Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes   +13 more
wiley   +1 more source

Integrating nutrition as a transversal competence: a curriculum mapping and implementation study in undergraduate medical education. [PDF]

open access: yesBMC Med Educ
Lackner S   +11 more
europepmc   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

open access: yesAdvanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang   +5 more
wiley   +1 more source

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