Results 71 to 80 of about 149,229 (279)
Sampling genotypes in large pedigrees with loops
Markov chain Monte Carlo (MCMC) methods have been proposed to overcome computational problems in linkage and segregation analyses. This approach involves sampling genotypes at the marker and trait loci. Scalar-Gibbs is easy to implement, and it is widely
Guldbrandtsen Bernt +4 more
doaj +1 more source
Modeling migraine severity with autoregressive ordered probit models [PDF]
This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. Since ordinal severity measurements arise from a single patient dependencies among the measurements have to be accounted ...
Heyn, Anette +3 more
core +1 more source
Light irradiation activates the Fe2O3‐BiVO4 heterostructure, enabling efficient solar‐electrochemical coupling in zinc‐air batteries. The built‐in electric field drives directional charge separation, guiding photoelectrons toward oxygen reduction sites and accumulating holes for oxygen evolution, thereby reducing polarization and enhancing discharge ...
Yili Liu +7 more
wiley +1 more source
Bayesian estimation of discretely observed diffusion processes using Wiener chaos expansion
We employ a Bayesian inference technique for discretely observed diffusion processes that arise as solutions of stochastic differential equations. Our aim is to estimate the parameters of the stochastic differential equation.
Fernando Baltazar-Larios +2 more
doaj +1 more source
Controlled carbonization of an Al‐MOF partially decomposes its linkers, exposing coordinatively unsaturated Al centers within an oxide/carbon composite. The resulting Lewis acid sites, rather than surface area, govern organochlorine capture: the composite removes chemically diverse organochlorines from waste plastic pyrolysis oil, outperforms a ...
Seong Cheon Kim +6 more
wiley +1 more source
GIBBS SAMPLERS FOR A SET OF SEEMINGLY UNRELATED REGRESSIONS [PDF]
SummaryBayesian estimation of a collection of seemingly unrelated regressions, referred to as a ‘set of seemingly unrelated regressions’ is considered. The collection of seemingly unrelated regressions is linked by common coefficients and/or a common error covariance matrix.
Griffiths, W. E. +1 more
openaire +3 more sources
Description: Indium metal serves as a reversible calcium‐alloying negative electrode. By transitioning from planar electrodes to powders and (sub‐)micron indium particles, the specific surface area is increased, improving the areal capacity density and cycling stability for calcium‐based batteries.
Wouter Monnens +10 more
wiley +1 more source
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh +11 more
wiley +1 more source
On Bayesian Estimation in Mixed Linear Models Using the Gibbs Sampler [PDF]
This paper tackles the estimation of parameters of linear mixed random effect one–classification model by Bayesian technique which includes Gibbs sampling. Gibbs sampling is a special case of Monte Carlo Method which uses Markov Chain and so called MCMC (
doaj +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source

