Results 181 to 190 of about 20,570 (262)

Application of Machine Learning in the Study of Creep Properties of Alloys

open access: yescScience, Volume 2, Issue 2, June 2026.
ABSTRACT Creep resistance is a critical performance indicator for alloy components operating under extreme conditions such as high temperature, high pressure, and long‐term loading, directly affecting operational reliability in key sectors, including the aerospace, nuclear power, and deep‐sea sectors.
Kai Zhou   +4 more
wiley   +1 more source

Females Fly Further—Sex‐Specific and Seasonal Differences in Migration Patterns of Pied Avocets

open access: yesEcology and Evolution, Volume 16, Issue 6, June 2026.
GPS tracking of 122 pied avocets revealed pronounced sex‐ and season‐specific migration strategies, with females migrating further than males, while spring migration was faster and more fragmented than autumn migration. Avocets spent a substantial part of their annual cycle in the Wadden Sea during the post‐breeding period before starting migration to ...
Mads Eskildsen   +7 more
wiley   +1 more source

Recommendations for structural magnetic resonance imaging in infants with first afebrile seizure or new onset epilepsy: Evidence‐based recommendations from the ILAE Neuroimaging Task Force

open access: yesEpilepsia, Volume 67, Issue 6, Page 2725-2738, June 2026.
Abstract Infants aged 1–24 months with new onset epilepsy frequently present with structural brain abnormalities, yet no updated evidence‐based magnetic resonance imaging (MRI) guidelines exist for this population. The International League Against Epilepsy (ILAE) Neuroimaging Task Force developed evidence‐based recommendations for structural brain MRI ...
Gavin P. Winston   +15 more
wiley   +1 more source

The GBR Hypothesis Revisited

open access: yesJournal of High Energy Physics, Gravitation and Cosmology
openaire   +1 more source

Application of Machine Learning in Heat Treatment Process Design of Carburized Steel

open access: yesMaterials Genome Engineering Advances, Volume 4, Issue 2, June 2026.
To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy