AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Co-Developing a Culturally Responsive, Theory-Informed Dyadic Mind-Body Intervention to Improve Sleep and Wellbeing in People with Dementia and Their Caregivers in the UK. [PDF]
Healthcare (Basel)Chan SHW, Hui R, Haq Z, Cheston R.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.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
Enhancing competency and self-directed learning in anesthesiology residency: an outcome-based education model integrating online-offline hybrid teaching and mind mapping: a randomized controlled trial. [PDF]
Front Med (Lausanne)Yu R, Cheng C, Zhang F.
europepmc +1 more source
Relationship Between Qualitative Differences in Discourse Impairment and Theory of Mind in Patients With Right Hemisphere Damage: A Case Series. [PDF]
CureusHoyano K, Kobayashi Y.
europepmc +1 more source
Effectiveness of a Short Mentalization Video Feedback Intervention Aimed at Adolescent and Young Mother-Infant Dyads: A Pilot Study. [PDF]
Children (Basel)Ierardi E +5 more
europepmc +1 more source
Clinician-Led Code-Free Deep Learning for Detecting Papilledema and Pseudopapilledema Using Optic Disc Imaging. [PDF]
Transl Vis Sci TechnolShenoy R +8 more
europepmc +1 more source