Results 211 to 220 of about 18,037 (258)

Visualizing and Quantifying Impact with Mechanochromic Sensing Paints Based on Self‐Assembled Polydiacetylene‐Silk Core‐Shell Vesicles

open access: yesAdvanced Science, EarlyView.
Tracking physical impacts is important in many fields. Self‐assembled microparticles made from polydiacetylene and silk fibroin that change color from blue to red when hit can provide an alternative approach to traditional mechanical transducers, quantitatively visualizing impact with responses ranging from <100 to 770 N.
Marco Lo Presti   +4 more
wiley   +1 more source

MELEGROS: Monolithic Elephant‐Inspired Gripper with Optical Sensors

open access: yesAdvanced Science, EarlyView.
MELEGROS is a monolithic, elephant‐inspired soft gripper integrating 3D‐printed optical sensors within a pneumatically actuated lattice. Simulation‐guided design decouples tactile and proprioceptive sensing. Characterized through grasping tests, MELEGROS can reach, scoop, and grasp, showcasing a paradigm where fully embedded sensing and continuous ...
Petr Trunin   +4 more
wiley   +1 more source

RePol: A high-throughput screen for optimizing membrane protein solubilization and purification using polymers. [PDF]

open access: yesProtein Sci
Evans A   +7 more
europepmc   +1 more source

Adipocyte‐Derived Exosomal miR‐5099 Mitigates M1 Macrophage Polarization and Adipose Inflammation via c‐Met/NF‐κB Axis to Improve Metabolic Health

open access: yesAdvanced Science, EarlyView.
Celastrol upregulates adipocyte‐derived exosomal miR‐5099, suppressing the macrophage c‐Met/NF‐κB axis to mitigate pro‐inflammatory M1 polarization and adipose inflammation. These miR‐5099‐enriched exosomes also act as endocrine signals targeting the liver, muscle, and adipocytes to significantly enhance systemic insulin sensitivity.
Ping Tang   +9 more
wiley   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

open access: yesAdvanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu   +13 more
wiley   +1 more source

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