Results 201 to 210 of about 122,624 (309)

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

Game-based learning in undergraduate medical education: evaluation of an interdisciplinary escape room. [PDF]

open access: yesBMC Med Educ
Baessler F   +16 more
europepmc   +1 more source

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

open access: yesAdvanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur   +4 more
wiley   +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

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
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

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