Results 161 to 170 of about 613,752 (314)
Mean Square Error of Non-Sampled Area in Small Area Estimation [PDF]
Faisal Haris, Azka Ubaidillah
openalex +1 more source
Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System
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
The stability of IRT parameters under several test equating conditions. [PDF]
Weber D, Becker N, Spinath FM, Koch M.
europepmc +1 more source
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
Data-driven regression analysis of amylose using Sombor molecular descriptors. [PDF]
Mufti ZS +4 more
europepmc +1 more source
Device Integration Technology for Practical Flexible Electronics Systems
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa +5 more
wiley +1 more source
Does Past Myopia Progression Predict Future Progression? [PDF]
Beaulieu WT +14 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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
An Indoor UAV Localization Framework with ESKF Tightly-Coupled Fusion and Multi-Epoch UWB Outlier Rejection. [PDF]
Zhao J +5 more
europepmc +1 more source

