[Choice architecture in institutional food services: strategies to promote sustainable nutrition]. [PDF]
Meis-Harris J, Dohle S.
europepmc +1 more source
Correction for Mertens et al., The effectiveness of nudging: A meta-analysis of choice architecture interventions across behavioral domains. [PDF]
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Care and choice architecture: Relatives' support for adults with intellectual disabilities in supported decision-making processes. [PDF]
Demic S +3 more
europepmc +1 more source
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
Choice architecture promotes sustainable choices in online food-delivery apps. [PDF]
Lohmann PM +4 more
europepmc +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
An evaluation of a choice architecture-based intervention on prescribing of TB preventive treatment to people living with HIV in southern Africa (the CAT study): a cluster-randomised trial. [PDF]
Shearer K +19 more
europepmc +1 more source
Choice architecture-based prescribing tool for TB preventive therapy: a pilot study in South Africa. [PDF]
Caturegli G +8 more
europepmc +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source

