Results 181 to 190 of about 2,603 (224)

RNA Promotes Synapsin Condensates That Organize Synaptic Vesicles in Live Neurons and Enable Localized Translation in Reconstituted System

open access: yesAdvanced Science, EarlyView.
Condensates at synapses organize synaptic vesicles (SVs) and are crucial for efficient neurotransmitter release, yet how RNA contributes to this mesoscale architecture remains poorly understood. Here we uncover that RNA modulates synapsin–driven condensates.
Branislava Rankovic   +21 more
wiley   +1 more source

3D Printed Meter‐Scale Soft Origami Robots Capable of Load‐Bearing Actuation Via Crease Stiffness Modulation

open access: yesAdvanced Science, EarlyView.
Origami has inspired numerous soft deployable mechanisms for safe human‐robot interaction, while its intrinsic kinematic instability at arbitrary configurations limited their practical robotic application. This work presents a 3D printed meter‐scale origami robotic actuator capable of load‐bearing deformation through creaseline stiffness modulation.
Sung Yol Yu   +5 more
wiley   +1 more source

Implementation of the ISO 4037:2019 standard using voltage dividers and X-ray spectrometry. [PDF]

open access: yesRadiat Prot Dosimetry
Rinaldi L   +11 more
europepmc   +1 more source

Perceived Time Shapes Physical Fatigue Accumulation and Its Neural Oscillatory Correlates

open access: yesAdvanced Science, EarlyView.
Can a clock change the course of physical fatigue? By covertly manipulating the clock calibration during repeated isometric contractions, we showed that perceived time shapes fatigue accumulation and frontal oscillatory dynamics. While fatigue accumulation was only reduced when the clock was slowed down, frontal oscillatory dynamics followed perceived ...
Pierre‐Marie Matta   +3 more
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

open access: yesAdvanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

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