Results 261 to 270 of about 226,393 (341)
Entrustable Professional Activities for Emergency Medicine specialists. [PDF]
Teng D +7 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
The role of R-loops-mediated epigenetic regulation in genome stability maintenance and disease pathogenesis: a systematic review. [PDF]
Jiang ZH +4 more
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
A Direct Current-to-Digital Converter IC for Luminescence-Based Detection Toward an Energy Efficient Transcutaneous Carbon Dioxide Sensor Wearable. [PDF]
Tufan TB, Larkin B, McNEILL J, Guler U.
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
Coherent Ising machine based on polarization symmetry breaking in a driven Kerr resonator. [PDF]
Quinn L +6 more
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
Ultrafast lasers for attosecond science. [PDF]
Hu X, Mak KF, Zhang J, Wei Z, Krausz F.
europepmc +1 more source

