ABSTRACT Brassica napus (canola) is a significant contributor to the world's oil production and is cultivated across continents, yet acidic soils with aluminium (Al3+) and manganese (Mn2+) toxicities limit its production. The genetic determinants underlying natural variation for acidic soil tolerance in canola are unknown and need to be determined ...
Harsh Raman +13 more
wiley +1 more source
Valid Standard Errors for Bayesian Quantile Regression With Clustered and Independent Data
Feng Ji +2 more
openalex +1 more source
A non-parametric adaptive conformal inference based probabilistic hour-ahead solar PV power forecasting method. [PDF]
Suresh V, Revathi BS, Guerrero JM.
europepmc +1 more source
Bayesian reciprocal bridge composite tobit quantile regression
Zainab S Alsaadi, Rahim Alhamzawi
openalex +2 more sources
Bayesian Inference for Multivariate Monotone Densities
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
Comparison of environmental mixture methods for estimating the joint effects of environmental mixtures. [PDF]
Qian W +5 more
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Association between PFAS and renal function indicators in cord blood of newborns: modifying effects of newborn sex and maternal factors. [PDF]
Yan W +8 more
europepmc +1 more source
Computational study of permeability in cardboard coating layers
Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman +6 more
wiley +1 more source
Bayesian Estimation of Marginal Quantiles with Missing Data in a Multivariate Regression Framework. [PDF]
Morán-Vásquez RA +2 more
europepmc +1 more source

