NAT10 as a central node in cancer biology: integrating epitranscriptomic regulation, metabolic reprogramming, and immune modulation. [PDF]
Bo W, Yi Y, Zhao B, Dong H.
europepmc +1 more source
A novel carbon fiber reinforcement for dielectric elastomer actuators enhances actuation force while decoupling electromechanical performance from the actuator's aspect ratio. Unlike conventional fiber reinforcements, it enables a uniform planar stretch state along the entire actuator.
Markus Koenigsdorff +8 more
wiley +1 more source
Individualized Skill-Based Manikin Training Coupled with a Team Approach May Enhance Delivery Room Neonatal Resuscitation in Low-Resource Settings. [PDF]
Ahn E +6 more
europepmc +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Matrifibrocytes Redefine Cardiac Fibrosis: From Terminal Differentiation to Translational Modulation. [PDF]
Zhang Z, Zhu H.
europepmc +1 more source
Soft Robotic Snake with Tunable Undulatory Gait for Efficient Underwater Locomotion
This study designs an underwater soft snake robot using 3D‐printed soft actuators, controlled by specific signals to generate sinusoidal undulation. Results show a positive correlation between speed and swing amplitude, with optimal performance at 2/3π phase offset, PLA tail, 1.2 voltage growth rate, and 6s undulation period achieving a maximum speed ...
Huichen Ma, Junjie Zhou, Raye Yeow
wiley +1 more source
Mechanical control: parallel pathways for modulating movement. [PDF]
Reynaga CM, Azizi E.
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks. [PDF]
Pilzak A, Pennington B, Thivierge JP.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source

