Results 231 to 240 of about 1,509,452 (312)

Exploring barriers and facilitators of preceptorship in undergraduate health professions education: insights from a qualitative needs assessment among preceptors in Eastern Uganda. [PDF]

BMC Med Educ
Wani S, Nantale R, Atuhairwe I, Makoko BT, Okello F, Waako P, Twineamatsiko A, Agaba B, Nyalihama A, Kibuule D, Kagoya EK.   +10 more
europepmc   +1 more source

Responsive Visible‐Wavelength Metasurfaces from Porous Silicon Based on Fano Guided‐Mode Resonance

Advanced Optical Materials, EarlyView.
The article introduces mesoporous silicon metasurfaces (pSi‐MS) supporting Fano guided‐mode resonances in the visible regime. By combining top‐down lithographic patterning of 2D gratings with bottom‐up electrochemical porosification, the approach realizes a new class of responsive metasurfaces, enabling highly sensitive and portable platforms for small
Tomoshree Dash, Saddam Gafsi, Estevao Marques Dos Santos, Ivan Kravchenko, Judson D. Ryckman   +4 more
wiley   +1 more source

Variation in caesarean section rates according to the Robson classification in four low- and middle-income countries: a meta-analysis of groups 1 to 4. [PDF]

BMC Pregnancy Childbirth
Ravit M, Etcheverry C, Kabore C, Lumbiganon P, Carroli G, Mac Qoc Nhu H, Betrán AP, Gialdini C, Robson M, Dumont A.   +9 more
europepmc   +1 more source

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

Advanced 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, Farzan Shabani, Mustafa Kalay, Aisan Khaligh, Evren Mutlugun, Mustafa Serdar Onses, Hilmi Volkan Demir   +6 more
wiley   +1 more source

Presence 5 for trauma informed care: teaching tangible practices towards bidirectional healing in undergraduate medical education. [PDF]

BMC Med Educ
King M, King Z, Zulman D, Shankar M.
europepmc   +1 more source

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

Advanced 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, Nicolas T. Sandino, Jason P. Terry, Mahdi Ghafariasl, Yohannes Abate   +4 more
wiley   +1 more source

Comparison of Online-to-Offline Teaching Rounds and Bedside Teaching Rounds in Nephrology Residency Training. [PDF]

Adv Med Educ Pract
Han B, Yang F, Yang M, Yang Q, Xiong Y, Ma K.   +5 more
europepmc   +1 more source

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

Advanced 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, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Transforming educator expectations in public health, nursing, and medicine: a two-phase survey on digital tools in education. [PDF]

BMC Med Educ
Schaal TK, Marchwacka MA, Tolks D, Kugler J.   +3 more
europepmc   +1 more source

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

Advanced 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