Results 191 to 200 of about 4,014,006 (256)

Problem-based learning

open access: yesAcademic Medicine, 1993
M A Albanese, S Mitchell
openaire   +2 more sources

Ultra‐Durable Information‐Encoded Anti‐Counterfeiting Self‐Assembled Nanocrystal Labels

open access: yesAdvanced Optical Materials, EarlyView.
Ultra‐durable cost‐effective information‐encoded anti‐counterfeiting labels are fabricated to secure semiconductor chips. A novel method is used to self‐assemble colloidal quantum wells (CQWs) into color bars. Information can be encoded spatially, spectrally, and opto‐spatially.
Taha Haddadifam   +6 more
wiley   +1 more source

Nanophotonic Strategies for Chiral Biosensing: Nanoparticles, Metasurfaces, Magneto‐Optical, and Quantum Approaches

open access: yesAdvanced Photonics Research, EarlyView.
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]

open access: yesBMC Med Educ
Abu-Hijleh MF   +8 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

open access: yesAdvanced Robotics Research, EarlyView.
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

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

open access: yesAdvanced Robotics Research, EarlyView.
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

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