Results 231 to 240 of about 319,661 (327)

High‐Resolution Characterization of Protein‐Conjugated, mRNA‐Loaded Lipid Nanoparticles by Analytical Ultracentrifugation

open access: yesAdvanced Functional Materials, EarlyView.
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird   +8 more
wiley   +1 more source

Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. [PDF]

open access: yesNeuroimage, 2013
Li Y   +5 more
europepmc   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou   +7 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

Detecting the determinants of cardiac and hepatic iron overload in patients with thalassemia major using a generalized estimating equations method [PDF]

open access: green, 2014
Amir Hossein Hashemian   +5 more
openalex  

Modulating Interfacial Potential Gradients in Metal−Carbon Catalysts via Phase‐Engineering for Lithium–Sulfur Batteries

open access: yesAdvanced Functional Materials, EarlyView.
It is elucidated that phase engineering of cobalt modulates the interfacial potential gradients of cobalt–carbon electrocatalysts, enhancing the intrinsic electrocatalytic performance. Modulating the dominant crystalline phase of cobalt from a hexagonal close‐packed to a face‐centered cubic enriches the electron density of carbon shells, thereby ...
Ji‐Oh Kim   +13 more
wiley   +1 more source

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