Results 201 to 210 of about 817,680 (305)

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Learning health system for implementation, scale-up, and sustainment: a systematic review to consolidate guidance for improvement. [PDF]

Implement Sci
Lane C, McCrabb S, Turon H, Bialek C, Couper L, Wilczynska M, Gray S, Barnes C, Fee M, Kuchenmüller T, Marques Romao DM, Wolfenden L.   +11 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

From Insight to Impact: Advancing Learning Health System Capability Through a System-Wide Quality Improvement Symposium. [PDF]

Cureus
Dermenchyan A, Seiden DS, Bhayani M, Song A, Venkatesan N, Sharma K, Pandrangi K, Han MA.   +7 more
europepmc   +1 more source

Learning Health Systems

, 2016
openaire   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS). [PDF]

J Natl Med Assoc
Wi CI, Overgaard S, Malik M, Watson D, Sharma D, Le-Rademacher J, Kelleher D, Zheng L, Ohde J, Lynch B, Khurana A, Sohn S, AlJuhani MM, Carpenter C, Arteta M, Greenwood J, Hartz M, Foss R, Polat E, Absah I, Davis C, Gupta M, Myers L, Nordlund B, Tao C, Wieland ML, Patten C, Jones A, Varkey P, Loufek BT, Vidal DE, Gopala N, Klee E, Shah VH, Halamka JD, Callstrom MR, Rider NL, Liu H, Aliferis C, D Garovic V, J Juhn Y.   +40 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

An artificial intelligence-powered learning health system to improve sepsis detection and quality of care: a before-and-after study. [PDF]

NPJ Digit Med
Despraz J, Matusiak R, Nektarijevic S, Rossetti V, Bastardot F, Akrour R, Konasch A, Gauthiez E, Pignolet O, Pepe S, Chiche JD, Kaufmann DE, Calandra T, Raisaro JL, Meylan S, CHUV Sepsis consortium.   +15 more
europepmc   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source