Results 161 to 170 of about 672,218 (293)
Daily meal frequency and its associated factors among children aged 6-23 months in Ethiopia: a Bayesian hierarchical Poisson model. [PDF]
Asgedom DK, Mohammed AA, Anbesu EW.
europepmc +1 more source
This study presents a novel mechanically responsive optical device that modulates light transmission and generates iridescent structural colors under reflection. The optical transition arises from the exposure of nanoparticles upon stretching, which are initially embedded beneath the surface.
Nguyen Hoang Minh +4 more
wiley +1 more source
The hazard of using the Poisson model to cope with immortal time bias in the case of time-varying hazard. [PDF]
Rea F +3 more
europepmc +1 more source
Poisson Model To Generate Isotope Distribution for Biomolecules. [PDF]
Sadygov RG.
europepmc +1 more source
The N concentration in an epitaxial VN bilayer is tailored from overstoichiometric V0.49N0.51 to understoichiometric V0.56N0.44. Based on ab initio, diffraction, and microscopy data, the overstoichiometric V0.49N0.51 layer contains V vacancies, N Frenkel pairs, and a high density of dislocations.
Marcus Hans +7 more
wiley +1 more source
On the Linear Stability of Crystals in the Schrödinger-Poisson Model. [PDF]
Komech A, Kopylova E.
europepmc +1 more source
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee +5 more
wiley +1 more source
Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas. [PDF]
Wan H +6 more
europepmc +1 more source
A tensor product quasi-Poisson model for estimating health effects of multiple ambient pollutants on mortality. [PDF]
Xu LJ +5 more
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source

