Results 341 to 350 of about 1,705,978 (427)

Sensor‐Embedded Muscle for Closed‐Loop Controllable Actuation in Proprioceptive Biohybrid Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
Skeletal muscle tissue‐based bioactuators move in response to externally applied electrical stimuli in open‐loop control, which lacks knowledge of the actuator's state. Herein, a soft and fiber‐shaped piezoresistive mechanosensor that integrates with the soft tissue and operates in the cell culture environment is used to create the first proprioceptive
Miriam Filippi   +8 more
wiley   +1 more source

The Ambulatory Long-Block: An Accreditation Council for Graduate Medical Education (ACGME) Educational Innovations Project (EIP)

open access: green, 2008
Eric J. Warm   +6 more
openalex   +2 more sources

The Role of Ombuds in Graduate Medical Education: Fostering Wellness and Psychological Safety. [PDF]

open access: yesJ Educ Perioper Med
Danielsson J   +4 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Lessons Learned From the Liver About the Undergraduate to Graduate Medical Education Transition. [PDF]

open access: yesAm J Med Open
Pan AY   +12 more
europepmc   +1 more source

Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka   +7 more
wiley   +1 more source

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