Results 131 to 140 of about 2,042 (241)

Comparison of two Metop-3MI instrument models and implications for on-ground testing in multi-unit space missions. [PDF]

open access: yesSci Rep
Clermont L   +7 more
europepmc   +1 more source

Markets Mitigate Land‐Use Competition From Energy Crops and Increase Farm Revenues

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Meeting the US Sustainable Aviation Fuel Grand Challenge target of 35 billion gal annually by 2050 will require an estimated 380 million–700 million dry tons of agricultural biomass feedstock. This study evaluates the implications of large‐scale biomass production for land use, crop production, and market outcomes under mature market ...
Daniel G. De La Torre Ugarte   +2 more
wiley   +1 more source

Transient modeling of extraction columns: Parameter estimation, uncertainty analysis, and operation optimization

open access: yesAIChE Journal, EarlyView.
Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag   +2 more
wiley   +1 more source

Mean and variance heterogeneity loci impact kernel compositional traits in maize. [PDF]

open access: yesPlant Genome
Ismail YMA   +5 more
europepmc   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

open access: yesAIChE Journal, EarlyView.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed   +4 more
wiley   +1 more source

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

open access: yesAIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi   +2 more
wiley   +1 more source

Multi-omics data integration for enhanced cancer subtyping via interactive multi-kernel learning. [PDF]

open access: yesBrief Bioinform
Cao H   +11 more
europepmc   +1 more source

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