Results 171 to 180 of about 114,379,755 (296)
Photobiomodulated microglia release engineered extracellular vesicles that deliver UFL1 to the injured spinal cord. UFL1 competitively binds p53 with MDM2, inhibiting p53 ubiquitination and stabilizing p53 signaling. This dual mechanism simultaneously promotes anti‐inflammatory microglial polarization and directs neural stem cell differentiation toward
Yunxiao Fang +12 more
wiley +1 more source
Breast Cancer Incidence and Groundwater Contamination in Southwestern Ohio: An Ecological Analysis of Communities Overlying the Great Miami Buried Valley Aquifer. [PDF]
Glaser R.
europepmc +1 more source
Proposed model of CHST1‐associated immune remodeling in triple‐negative breast cancer. In CHST1‐low tumors, greater nuclear accumulation of NKRF is associated with repression of an NF‐κB‐related CCL20 transcriptional program and an immune‐inflamed microenvironment.
Shu‐Hao Jiang +6 more
wiley +1 more source
Can big data answer the big questions about specific mental disorders? The example of obsessive-compulsive disorder. [PDF]
Simpson HB, Wall M.
europepmc +1 more source
Programmable Sequential 4D Actuation in Multistable Kirigami Metamaterials
This study presents a modular kirigami metamaterial framework enabling programmable multistability and sequential 4D actuation. By coupling geometry‐controlled multistability with material‐dependent recovery kinetics, spatiotemporal deformation can be precisely programmed.
Eui‐Hyun Kim +3 more
wiley +1 more source
Correction: Dream content and slow waves benefit prey against predator in a video game confrontation. [PDF]
Brandão DS +4 more
europepmc +1 more source
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English +9 more
wiley +1 more source
Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care. [PDF]
Leiwolf M +6 more
europepmc +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source

