Results 131 to 140 of about 5,903 (242)

Adaptive dynamics of diverging fitness optima. [PDF]

open access: yesJ Math Biol
Duong MH, Spill F, Van Rensburg B.
europepmc   +1 more source

The Newly Discovered Pathway for Oxygen Evolution Reaction: In‐Situ/Operando Characterization Techniques for Catalyst Development

open access: yesCarbon Energy, EarlyView.
This study introduces a newly discovered oxide path mechanism (OPM) for the oxygen evolution reaction (OER), emphasizing the role of in‐situ and operando characterization techniques in unraveling catalyst behavior under realistic conditions. The integration of advanced spectroscopic methods provides new mechanistic insights for the design of highly ...
Rabia Khalid   +4 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

open access: yesChemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain   +3 more
wiley   +1 more source

Optimal model‐based design of experiments for parameter precision: Supercritical extraction case

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley   +1 more source

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Rank‐based estimation of propensity score weights via subclassification

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang   +3 more
wiley   +1 more source

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