Results 111 to 120 of about 2,049,823 (284)
Prognostic value of soluble endoglin in patients with septic shock and severe COVID-19 [PDF]
Veronika Tomášková +10 more
openalex +1 more source
Extensive Review of Materials for Next‐Generation Transparent Batteries and Their Design Strategies
Review explores emerging materials and design strategies for transparent batteries, examining electrodes, electrolytes, separators, and device architectures optimized for high electrochemical performance, mechanical flexibility, and optical transparency.
Atul Kumar Mishra +5 more
wiley +1 more source
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source
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
Acute Kidney Injury in Patients Hospitalized With COVID-19 in New York City: Temporal Trends From March 2020 to April 2021 [PDF]
Sergio Dellepiane +10 more
openalex +1 more source
Upcycling of Disposable Face Masks into Water‐Resistant and Flame Retardant Foams
Disposable mask waste is upcycled into lightweight polypropylene‐based foams with tunable porosity and composite architectures reinforced by ear‐loop fibers. The sustainable solvent‐based process enables upcycling rates of 91% and solvent recovery of >90%.
Jingjing Pan +3 more
wiley +1 more source
Diagnostic Utility of a Ferritin-to-Procalcitonin Ratio to Differentiate Patients With COVID-19 From Those With Bacterial Pneumonia: A Multicenter Study [PDF]
Amal Gharamti +14 more
openalex +1 more source
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

