Benefits of musculoskeletal health promotion in school communities through service-learning: a mixed-method approach. [PDF]
Calvo S +5 more
europepmc +1 more source
ABSTRACT Organoid research offers valuable insights into human biology and disease, but reproducibility and scalability remain significant challenges, particularly for epithelial organoids. Here, we present an integrated microfluidic platform that addresses these limitations by enabling high‐throughput generation of uniform hydrogel microparticles ...
Barbora Lavickova +8 more
wiley +1 more source
Training Socially-Conscious Dentists: Development and Integration of Community Service-Learning in Dental Curricula in Ontario, Canada. [PDF]
Jessani A +7 more
europepmc +1 more source
A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu +10 more
wiley +1 more source
Learning styles and online interfaces: contribution to blended learning in health education, in the discipline of Interaction University-Community-Service I in the Botucatu Medical School [PDF]
Renato Bezerra da Silva Ribeiro
openalex
In situ observation of VLS growth in a confined microreactor reveals various growth modes of monolayer TMDCs, including abnormal ribbon growth and particle‐driven growth. The confined space and precursor balance influence droplet behavior and growth dynamics, offering new insights into the controlled synthesis of TMDCs via the VLS mechanism.
Hiroo Suzuki +6 more
wiley +1 more source
Impact of a Service Learning Curriculum that Emphasizes Bidirectional Learning on Medical Students' Professional Identity Formation. [PDF]
Kovaric K, Luk J.
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

