Interpretable Machine Learning Analysis of Stress Concentration in Magnesium: An Insight beyond the Black Box of Predictive Modeling

In the present work, machine learning (ML) was employed to build a model, and through it, the microstructural features (parameters) affecting the stress concentration (SC) during plastic deformation of magnesium (Mg)-based materials are determined.As a descriptor for the SC, the kernel average misorientation (KAM) was used, and starting from the mi

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The classification of chronic daily headache in French children and adolescents: A comparison between the second edition of the International Classification of Headache Disorders and Silberstein-Lipton criteria

Jean-Christophe Cuvellier1, Frédéric Couttenier2, Stéphane Auvin1, Louis Vallée11Department of Child Neurology, Pediatric Clinic, University Hospital, Lille, France; 2Division of Gastroenterology, Hepatology and Nutrition, Pediatric Clinic, University Hospital, Lille, FranceAbstract: Few data are availabl

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