Amplifying Marginalised Voices Through Advocacy: Community-Informed Curriculum Development for Cultural Safety in Homeless Health. [PDF]
Puddifoot C +6 more
europepmc +1 more source
The start of sexual health curriculum development and evaluation at Stellenbosch University. [PDF]
Van Deventer H +7 more
europepmc +1 more source
Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons +11 more
wiley +1 more source
A Model for Sustainable Curriculum Development in Dentistry. [PDF]
Dixon J +5 more
europepmc +1 more source
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig +11 more
wiley +1 more source
Development and assessment of a curriculum model for virtual simulation in nursing: curriculum development and pilot-evaluation. [PDF]
Shin H, Rim D.
europepmc +1 more source
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
The science module in the MHH's model curriculum - development, implementation, results. [PDF]
Paulmann V +4 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Theoretical models to guide undergraduate medical curriculum development: an integrative review. [PDF]
Yin X +5 more
europepmc +1 more source

