Future-Making From Afar: Digital Twins in Medicine. [PDF]
Elhadj E, Tanninen M, Van Hoyweghen I.
europepmc +1 more source
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
Cultural barriers influencing virtual community of practice: a scopic review. [PDF]
Manzoor S, Atiq N.
europepmc +1 more source
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
Engaging with Facebook Health Support Groups among Australian Culturally and Linguistically Diverse Populations. [PDF]
Zein MMA, Win KT, Alananzeh I.
europepmc +1 more source
The relationship between digital health literacy and problematic mobile social media use among adolescents: the chain mediating role of physical activity and social-emotional competence. [PDF]
Zhao C +6 more
europepmc +1 more source
Digital cultural intelligence and its role in enhancing expatriate work adjustment: A configurational approach in global work environments. [PDF]
Mahdy F, Binzafrah F, Elsawy O.
europepmc +1 more source
Maintaining wellbeing in remote work: a digital ethnography into resources, boundaries, and time. [PDF]
Yalçınyiǧit S.
europepmc +1 more source
RecoveryWorks: vocational support services for recovery capital growth. [PDF]
Lynch T +5 more
europepmc +1 more source

