Results 231 to 240 of about 219,478 (314)

GPIHBP1 on oligodendrocytes binds lipoprotein lipase within the human brain. [PDF]

open access: yesProc Natl Acad Sci U S A
Liu M   +18 more
europepmc   +1 more source

Protein Corona Formation on Soft Nanocarriers Under Biomimetic Circulatory Flow

open access: yesAdvanced Materials Interfaces, EarlyView.
A biomimetic venous circulation system is developed to study protein corona formation on soft nanocarriers under physiological shear. Liposomes, PLGA nanoparticles, and lipid‐polymer hybrid nanoparticles acquire largely shared but material‐dependent protein coronas that alter surface properties and suppress cellular uptake, highlighting the importance ...
Anamarija Nikoletić   +7 more
wiley   +1 more source

Appendiceal Dieulafoy's Lesion: A Rare Cause of Lower Gastrointestinal Bleeding. [PDF]

open access: yesSurg Case Rep
Hoshino N   +7 more
europepmc   +1 more source

Nanoporous Silica Embedded in Nanoporous Platinum: A Versatile Composite Coating for Implant‐Associated Drug Delivery From Neuronal Electrodes

open access: yesAdvanced Materials Technologies, EarlyView.
Nanoporous silica nanoparticles incorporated in nanoporous platinum offer the possibility for implant‐associated drug delivery from neuronal electrodes. ABSTRACT Sensorineural hearing loss, resulting from damage to the hair cells of the inner ear, profoundly impairs quality of life.
Mosaieb Habib   +10 more
wiley   +1 more source

Overcoming Printing and Interfacial Challenges in Liquid Metal Direct Writing for Integrated Stretchable Electronics

open access: yesAdvanced Materials Technologies, EarlyView.
Liquid metal direct writing is advanced from a technological and fundamental point. Utilizing a kinematic bed, printing on large surfaces with irregularities is enabled. Furthermore, a pressure‐driven flow during printing is discovered that affects the thickness of traces.
Maximilian Krack   +15 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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