Results 171 to 180 of about 176,011,173 (302)
Early‐life manganese exposure induces behavioral deficits and aberrant hippocampal synaptic remodeling by enhancing microglial phagocytosis in young adult male mice. Mechanistically, manganese promotes Yin Yang 1 (YY1)/triggering receptor expressed on myeloid cells 2 (TREM2) signaling through enhanced HIF1α‐mediated transcription and suppressed SMURF2 ...
Keyu Chen +4 more
wiley +1 more source
Six pragmatic steps to separate medical GenAI's promise from its inherent dangers. [PDF]
Gilbert S, Ostermann M, Freyer O.
europepmc +1 more source
A dual‐randomness hardware platform is demonstrated by integrating PUF and TRNG functionalities into mixed‐ZGO nanoclusters. By leveraging spatial and temporal stochasticity, the mixed‐ZGO NCs device enables both unique identification and random signal generation.
Seungme Kang +6 more
wiley +1 more source
A nationwide study of community- versus facility-based management of malaria in Sierra Leone from 2019 to 2023. [PDF]
Sillah-Kanu M +18 more
europepmc +1 more source
Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links
An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li +5 more
wiley +1 more source
Biomedical ethics and regulatory capacity building in Africa: the case study of São Tomé and Príncipe. [PDF]
Batista JPB +5 more
europepmc +1 more source
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues +10 more
wiley +1 more source
Integrating macro- and meso-level perspectives on school nutrition programs in Dubai: a joint display mixed methods integration study. [PDF]
AlGurg R +7 more
europepmc +1 more source
AI‐EXAFS: Physics‐Informed Prediction of EXAFS from Atomic Structure
AI‐EXAFS presents a neural network to reproduce EXAFS. Trained on synthetic data and with a careful selection of the settings both for the physical representation of the system and following the experimental heuristic loss functions, the model is capable of reproducing EXAFS spectra for molecules from the tridimensional structure.
Javier Heras‐Domingo +6 more
wiley +1 more source

