Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
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Dynamic Current Routing in Conductive Liquid Crystal Elastomers for Complex Deformation Actuators
This work introduces a novel actuation control strategy in which electrical stimulation generates localized Joule heating in conductive liquid crystal elastomer (LCE) surfaces, enabling complex 3D deformations from a single homogeneous surface without preprogramming.
Gloria PouWai Lei +2 more
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Peer-assisted learning combined with problem-based learning enhances clinical reasoning and knowledge application among medical students. [PDF]
Xie J +6 more
europepmc +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
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Efficacy of problem-based learning approach for teaching evidence-based practice to midwives and nurses: A systematic review protocol. [PDF]
Komuhangi G +5 more
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Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
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University students' subjective experiences with problem-based learning and associated generic skills. [PDF]
Lee A, Jung E.
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Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
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Enhancing the critical thinking skills, and knowledge acquisition of nursing students using problem-based learning: A quasi-experimental study. [PDF]
Sharifi N +3 more
europepmc +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
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