The Role of Supply Chain Management in Healthcare Waste Management: A Scoping Review on Reverse Logistics, Inventory Control, and Environmental Health Impacts. [PDF]
Nkomo S +4 more
europepmc +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Development and application of a standardized teaching assessment system for digital automated oral implantation planning skills: a randomized controlled pilot trial. [PDF]
Li S +6 more
europepmc +1 more source
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source
Polysomnographic Sleep in Idiopathic Nightmares: A Systematic Review and Meta-Analysis. [PDF]
Huang J +8 more
europepmc +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Early prediction of post-stroke depression using polysomnography parameters: a prospective cohort study. [PDF]
Chen L, Wang B, Kuang D, Chen L.
europepmc +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Evaluation of Clinical Efficiency of Two Single-file Ni-Ti Rotary Systems in Performing Root Canal Treatment in Primary Teeth: A Randomized Clinical Trial. [PDF]
Lakshmidevi L +5 more
europepmc +1 more source

