Results 221 to 230 of about 1,014,233 (314)

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

Progress test as an assessment for learning approach in an Infectious Diseases Residency Program: a case study. [PDF]

Braz J Infect Dis
Hoekstra BE, Feliciano CS, Nascimento RT, Bollela VR.   +3 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

International trends in the implementation of assessment for learning revisited: Implications for policy and practice in a post-COVID world. [PDF]

Policy Futur Educ
Volante L, DeLuca C, Barnes N, Birenbaum M, Kimber M, Koch M, Looney A, Poskitt J, Smith K, Wyatt-Smith C.   +9 more
europepmc   +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

Assessment of learning abilities and school performance of Sudanese children with epilepsy. [PDF]

Sudan J Paediatr
Babikir HEH, Elmoustafa SBA, Mustafa NA, Elwali SN.   +3 more
europepmc   +1 more source

Work place based Surgical Assessments: Assessment for Learning or Assessment of Learning?

International Journal of Surgery, 2010
Satpathy, Anjana, Kneebone, Roger
openaire   +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

Comparing remote versus in-person assessment of learning skills in children with specific learning disabilities. [PDF]

Digit Health
Lampis V, Dondena C, Mauri C, Villa M, Salandi A, Molteni M, Cantiani C, Mascheretti S.   +7 more
europepmc   +1 more source

Gamification in engineering education - An empirical assessment on learning and game performance. [PDF]

Heliyon, 2020
Díaz-Ramírez J.
europepmc   +1 more source