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In-vitro biomineralization and biocompatibility of friction stir additively manufactured AZ31B magnesium alloy-hydroxyapatite composites (open access)

In-vitro biomineralization and biocompatibility of friction stir additively manufactured AZ31B magnesium alloy-hydroxyapatite composites

Article presents research where friction stir additive manufacturing technique was employed to fabricate AZ31B magnesium-hydroxyapatite composite. The study aims to evaluate effect of hydroxyapatite (HA, Ca₁₀(PO₄)₆OH₂), a ceramic similar to natural bone, into AZ31B Mg alloy matrix on biomineralization and biocompatibility.
Date: June 30, 2020
Creator: Ho, Yee-Hsien; Man, Kun; Joshi, Sameehan; Pantawane, Mangesh V.; Wu, Tso-Chang; Yang, Yong et al.
System: The UNT Digital Library
PPAD: a deep learning architecture to predict progression of Alzheimer’s disease (open access)

PPAD: a deep learning architecture to predict progression of Alzheimer’s disease

Article asserts that Alzheimer’s disease (AD) is a neurodegenerative disease that affects millions of people worldwide. The authors of the article propose two deep learning architectures based on RNN, namely Predicting Progression of Alzheimer’s Disease (PPAD) and PPAD-Autoencoder.
Date: June 30, 2023
Creator: Olaimat, Mohammad Al; Martinez, Jared; Saeed, Fahad & Bozdag, Serdar
System: The UNT Digital Library