Results 121 to 130 of about 1,181,988 (318)

Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System

open access: yesAdvanced Functional Materials, EarlyView.
A modular Muscle–Kidney proximal tubule‐on‐a‐chip integrates 3D skeletal muscle and renal proximal tubule tissues to model drug‐induced rhabdomyolysis and acute kidney injury. The coculture system enables dynamic tissue interaction, functional contraction monitoring, and quantification of nephrotoxicity, revealing drug side effect‐induced metabolic ...
Jaesang Kim   +4 more
wiley   +1 more source

Spontaneously quenchedγ-ray spectra from compact sources [PDF]

open access: bronze, 2013
M. Petropoulou   +2 more
openalex   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Engineered Interface and Spatial Arrangement of Inorganic Components for Dendrite‐Free Li Anodes in Carbonate‐Based Electrolyte

open access: yesAdvanced Functional Materials, EarlyView.
A solid‐state ion exchange strategy constructs dentrimental Li2CO3 into a high‐modulus, high‐surface‐energy interface to enable dendrite‐free deposition of Li metal anode in the harsh carbonate‐based electrolyte. Abstract The practical application of lithium metal batteries (LMBs) in carbonate‐based electrolytes is hindered by uncontrolled lithium (Li)
Qiannan Zhao   +5 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

Spontaneous Tympanoplasty

open access: yesArchives of Otolaryngology - Head and Neck Surgery, 1965
openaire   +3 more sources

Home - About - Disclaimer - Privacy