Results 271 to 280 of about 9,658,672 (368)
Recent advances in nanophotonics‐based chiral biosensing approaches are comprehensively reviewed, highlighting key trends, advantages, and limitations of each technology. Special attention is given to emerging strategies that exploit magneto‐optical and quantum plasmonic phenomena to enhance sensitivity down to the level of a few molecules, or even a ...
Jorge Ricardo Mejía‐Salazar
wiley +1 more source
Psychometric properties of a questionnaire assessing the extent of integration in a problem-based learning curriculum. [PDF]
Abu-Hijleh MF +8 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
wiley +1 more source
Unlocking public health competencies: the dose-response effect of problem-based learning on undergraduate student outcomes. [PDF]
Falcon A +5 more
europepmc +1 more source
English for Specific Purposes and Problem-Based Learning: Strengths and Opportunities
Cristina Mariotti
openalex +2 more sources
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
wiley +1 more source
Randomized, controlled study evaluating multi-disciplinary team-based learning (MDTBL) as optimal teaching paradigm for residents, comparing with problem-based learning (PBL) and lecture-based learning (LBL). [PDF]
Tao R +11 more
europepmc +1 more source
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
wiley +1 more source

