Results 171 to 180 of about 6,378,755 (279)

Clinical Characteristics and Concordance of Anti‐MDA5 Antibodies: A Multicenter Australian Study

open access: yesArthritis Care &Research, EarlyView.
Objective In Australia, anti‐MDA5 antibodies are exclusively tested by a line immunoblot assay (LIA). The clinical concordance of an LIA‐positive anti‐MDA5 result is unclear. We aimed to describe the clinical features and determine the clinical concordance of patients with anti‐MDA5 antibodies. Methods Electronic records of a multisite cohort (patients
Syed B. Ali   +11 more
wiley   +1 more source

Alzheimer's Disease Beyond Amyloid: Lessons From Atherosclerosis

open access: yes
Annals of Clinical and Translational Neurology, EarlyView.
Marcello Ciaccio, Luisa Agnello
wiley   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced 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   +17 more
wiley   +1 more source

A Multimodal Morphological and Immunohistochemical Analysis of the Human Thymus-Parathyroid Relationship. [PDF]

open access: yesInt J Mol Sci
Comanescu MP   +9 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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