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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Molecular Templating Enables Precise CeNiC 2 /Ni Heterostructures for Efficient Alkaline Hydrogen Oxidation (Adv. Funct. Mater. 36/2026)
How to cite Elkins, L. J., & Spiegelman, M. (2021). pyUserCalc: A revised Jupyter notebook calculator for uranium-series disequilibria in basalts. Earth and Space Science, 8, e2020EA001619. https://doi.org/10.1029/2020EA001619 How to cite text copied to clipboard! COPY TEXT Download Citation If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click on download.
Support vector machine-driven Parkinson’s disease identification: a 7-Tesla multidimensional structural MRI approach
Abstract Parkinson’s disease (PD) is a progressive neurodegenerative disorder diagnosed clinically by cardinal motor symptoms, with structural brain changes associated with its diverse motor and non-motor manifestations. This study integrated multidimensional 7-Tesla structural Magnetic Resonance Imaging (MRI) features (gray matter volume, cortical thickness, etc.) using Support Vector Machine (SVM) to distinguish 98 PD patients from 74 healthy controls.
Molecular Templating Enables Precise CeNiC2/Ni Heterostructures for Efficient Alkaline Hydrogen Oxidation
1 Introduction Hydrogen, as a high-density energy carrier with zero-carbon emissions, is pivotal for sustainable energy development [1-3]. Anion exchange membrane fuel cells (AEMFCs) are representative devices for hydrogen utilization, involving two main electrode reactions: the cathodic oxygen reduction reaction (ORR) and the anodic hydrogen oxidation reaction (HOR) [4-6].
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