Results 81 to 90 of about 262,567 (294)

Mechanically Tunable Bone Scaffolds: In Vivo Hardening of 3D‐Printed Calcium Phosphate/Polycaprolactone Inks

open access: yesAdvanced Functional Materials, EarlyView.
A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz   +7 more
wiley   +1 more source

The Mediating Effect of Intracranial Hemorrhage Status on the Relationship between the INR and Mortality in Patients with Ischemic Stroke

open access: yesNeurology and Therapy
Introduction The international normalized ratio (INR) is a biomarker of coagulopathy. The objective of this study was to assess the relationship between the INR and clinical outcomes in patients with large vessel occlusion (LVO) stroke who received ...
Yapeng Guo   +10 more
doaj   +1 more source

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

open access: yesAdvanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen   +30 more
wiley   +1 more source

Decoupling Size and Electronic Effects in Doped SrTiO3 Photocatalysts Through Surface Area–Normalized CO2 Hydrogenation Rates

open access: yesAdvanced Functional Materials, EarlyView.
Exploring the photocatalytic reverse water–gas shift (RWGS) reaction on doped SrTiO3 nanoparticle films, reveals that normalizing catalytic rates by the catalyst's specific surface area (SSA) disentangled surface area effects from the catalyst's intrinsic material properties.
Dikshita Bhattacharyya   +6 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Extremely Elevated International Normalized Ratio of Warfarin in a Patient with CYP2C9*1/*3 and Thyrotoxicosis [PDF]

open access: gold, 2014
Ji Eun Lee   +6 more
openalex   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

open access: yesAdvanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim   +7 more
wiley   +1 more source

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