Results 151 to 160 of about 804,688 (262)

Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi   +2 more
wiley   +1 more source

Prosocial behaviour in primary and secondary school students. Effects of the CYBUPRE intervention

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Prosocial behaviour is regarded as a critical factor in reducing aggressive behaviours among peers, both in physical settings and virtual spaces. This variable facilitates the enhancement of social relationships, promoting empathy, deep listening, physical and verbal service, and even solidarity, among other benefits.
Mercedes Chicote‐Beato   +3 more
wiley   +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

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