Results 241 to 250 of about 3,731,861 (383)
Upon ischemia/reperfusion‐induced iron overload condition, neurons and astrocytes exhibit similar oxidative stress changes but opposite alterations in endogenous antioxidant defense mechanisms, leading to divergent ferroptotic outcomes. The iron deposition and neuronal loss are increased within the perilesional cortex of stroke patients ...
Yi Guo +17 more
wiley +1 more source
Investigation of drivers' visual attributes in highway entrance zones utilizing Self-Organizing Mapping neural network. [PDF]
Xu W +7 more
europepmc +1 more source
Segment routing for effective recovery and multi-domain traffic engineering
A. Giorgetti +4 more
semanticscholar +1 more source
Top‐Down Fabricated Wood‐Derived Pressure and Strain Sensors: A Review
This review focuses on wood‐derived pressure/strain sensors fabricated via top‐down strategies. It analyzes wood's structural composition, examines processing techniques, discusses sensor types and sensing mechanisms, and reviews existing research. The article concludes with future directions for enhancing performance and scalability.
Yi Ren +8 more
wiley +1 more source
Three food‐grade nanomaterials induce dysregulated RyR‐Ca2+ signaling through epigenetic modifications. This dysregulation impairs the autophagic clearance process, ultimately leading to abnormal Aβ deposition and increase phosphorylated tau levels.
Jiaxin Shang +7 more
wiley +1 more source
A Dynamic QoS Mapping Algorithm for 5G-TSN Converged Networks Based on Weighted Fuzzy C-Means and Three-Way Decision Theory. [PDF]
Wu Y +6 more
europepmc +1 more source
This work shows, for the first time, that the stereocilia membrane in cochlear hair cells is dynamically regulated by the mechanotransduction channel to impact the membrane mechanical properties. This work provides direct evidence that the opening and closing associated with the MET channel is regulating the membrane viscosity suggesting that the MET ...
Shefin S. George, Anthony J. Ricci
wiley +1 more source
Correction: Yuan et al. Machine Learning Prediction Models to Evaluate the Strength of Recycled Aggregate Concrete. <i>Materials</i> 2022, <i>15</i>, 2823. [PDF]
Yuan X +6 more
europepmc +1 more source

