Results 231 to 240 of about 172,572 (332)
6 nm iron oxide nanoparticles (IONP6) exhibit enzyme‐like activities that scavenge reactive oxygen and nitrogen species (RONS), including nitric oxide (NO). In stroke models, IONP6 promotes microglial polarization toward the M2 phenotype, reduces neuroinflammation, and improves neurological outcomes, offering a promising drug‐free approach to mitigate ...
Yilin Qi +12 more
wiley +1 more source
Optimizing the Color Shapes Task for Ambulatory Assessment and Drift Diffusion Modeling: A Factorial Experiment. [PDF]
Kim SH +7 more
europepmc +1 more source
A Van der Waals Material Exhibiting Room Temperature Broken Inversion Symmetry with Ferroelectricity
This study reports a βp$\ubeta^{\text{p}}$ phase of indium selenide showing ferroelectricity over large areas at room temperature in a low‐dimensional limit. It is found that indium selenide films with βp$\ubeta^{\text{p}}$ layers display electric field‐induced switchable polarization characteristic of ferroelectric materials, suggesting the breaking ...
Fabia F. Athena +10 more
wiley +1 more source
Cognitive Mechanisms of Aberrant Self-Referential Social Perception in Psychosis and Bipolar Disorder: Insights From Computational Modeling. [PDF]
Lasagna CA +3 more
europepmc +1 more source
Interlayer Dzyaloshinskii–Moriya Interaction in Synthetic Ferrimagnets for Spiking Neural Networks
This work introduces a groundbreaking integration of asymmetric magnetic structures (synthetic ferrimagnets) and antisymmetric magnetic interaction (interlayer Dzyaloshinskii–Moriya interaction) for the first time. It addresses the critical challenge of IL‐DMI detection and shows the discovery of unprecedented analog‐like spin‐orbit torque switching ...
Shen Li +14 more
wiley +1 more source
Economic burden of dengue in Puerto Rico, 2010-2023. [PDF]
Camprubí-Ferrer D +13 more
europepmc +1 more source
Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source

