Results 221 to 230 of about 1,161,301 (335)

Preliminary investigation on pasting properties, solvent retention capacity and antioxidant properties of mature green breadfruit (Artocarpus altilis, Moraceae) flour modified using plant food waste Hibiscus sabdariffa bioactive components

open access: yesFood Biomacromolecules, EarlyView.
Abstract Effects of bioactive components of white variety of Hibiscus sabdariffa (WHS) at 4 regimen and 2 regimen samples without WHS as reference carried out at room temperature for 14 days, with periodical stirring on pasting, antioxidant and solvent retention capacity properties of mature green breadfruit flour were studied.
Bode Daramola
wiley   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

open access: yesFood Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Household indebtedness and well-being: Evidence from Australia. [PDF]

open access: yesPLoS One
Tammam M   +3 more
europepmc   +1 more source

Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang   +3 more
wiley   +1 more source

Forecasting House Prices: The Role of Market Interconnectedness

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen   +3 more
wiley   +1 more source

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