Results 181 to 190 of about 293 (255)

Rational design of Ni‐based catalysts for methane dry reforming: Recent advances and future perspectives

open access: yesFlexMat, EarlyView.
Addressing the challenges inherent in dry reforming of methane (DRM), this paper focuses on the structural design and performance optimization of Ni‐based catalysts. The modulation strategies for DRM are systematically reviewed across four dimensions: the micromorphology of active metals, metal‐support interactions, electronic modifications by ...
Bowei Cao, Junlei Zhang, Wanglei Wang
wiley   +1 more source

Biopolymer composites from agri‐food wastes and by‐products: valorization, fabrication, and food related applications

open access: yesFood Biomacromolecules, EarlyView.
Agri‐food wastes and by‐products are transformed into sustainable biopolymer composites through extraction, modification, and advanced fabrication technologies. These value‐added materials exhibit enhanced mechanical, barrier, antimicrobial, and biodegradable properties, enabling applications in food packaging, edible coatings, and preservation systems
Samuel Ayofemi Olalekan Adeyeye   +1 more
wiley   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

¡Vive!: Designing an Intervention to Improve Timely HIV Diagnosis Among Latino Immigrant Men. [PDF]

open access: yesProg Community Health Partnersh, 2016
Grieb SD   +4 more
europepmc   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly   +2 more
wiley   +1 more source

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