Results 211 to 220 of about 6,146,051 (311)
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Exploration of 'generational' peer-led CPR training in the Australian community using blended learning approaches: a pilot randomised controlled trial. [PDF]
Pallas J +6 more
europepmc +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Perceived effectiveness and preferences of medical students toward blended learning in anatomy: a multi-institutional cross-sectional study. [PDF]
Elzawawy EM +7 more
europepmc +1 more source
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Blended Learning in Bachelor's Nursing Education: Exploring Student Experiences, Satisfaction, and Knowledge. [PDF]
Abusabeib ZA.
europepmc +1 more source

