Results 181 to 190 of about 20,570 (262)
Application of Machine Learning in the Study of Creep Properties of Alloys
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
Complex Regional Pain Syndrome After Herpes Zoster Infection: An Uncommon and Underrecognized Clinical Entity. [PDF]
Mantri A, Ayaluri VK, Reddy H, Jose N.
europepmc +1 more source
Females Fly Further—Sex‐Specific and Seasonal Differences in Migration Patterns of Pied Avocets
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
Peritoneal Lymphomatosis Mimicking Advanced Ovarian Malignancy: A Diagnostic Challenge in Diffuse Large B-Cell Lymphoma. [PDF]
Kyeremateng D +3 more
europepmc +1 more source
Peri-implant marginal bone topography at the uncover stage: a classification proposal and retrospective observational study. [PDF]
Villarreal-Arizpe K +4 more
europepmc +1 more source
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
Apocrine Hidrocystoma of Foreskin: A Rare Benign Cystic Lesion. [PDF]
Han LA, Potter L, Bardapure M.
europepmc +1 more source
Application of Machine Learning in Heat Treatment Process Design of Carburized Steel
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

