Results 231 to 240 of about 12,038,824 (373)

Relaxed controls for functional equations

open access: yesJournal of Functional Analysis, 1970
openaire   +2 more sources

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

A family caregiver’s relaxation enhances the gastric motility function of the patient: a crossover study [PDF]

open access: gold, 2015
Hideaki Hasuo   +5 more
openalex   +1 more source

Synthesis and Electronic Structure of the Fractionally Occupied Double Perovskite EuTa2O6 with Ordered Europium Vacancies

open access: yesAdvanced Functional Materials, EarlyView.
Two‐dimensional electronic states are the foundation of modern semiconductor technology. Here, we report molecular‐beam epitaxy growth of fractional double perovskite, EuTa2O6. Reciprocal space mapping and transmission electron microscopy confirm a layered ordering of A‐site cations.
Tobias Schwaigert   +15 more
wiley   +1 more source

Ultra-slow aging dynamics of glass and its application to geological dating. [PDF]

open access: yesNat Commun
Zhao Y   +7 more
europepmc   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

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