Results 201 to 210 of about 19,696 (269)

Leveraging Machine Learning to Predict Food Waste Quantity: Focusing on Military Dining Facilities as Large‐Scale Food Service Operations

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Food waste reveals inefficiencies in resource use and contributes significantly to environmental pollution. In the United States, food waste accounts for the majority of total waste, with more than 50 million tons generated annually. In military units that operate large‐scale institutional food‐service facilities and generate significant food ...
YongSun Kim, Hyun Shik Yoon
wiley   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu   +3 more
wiley   +1 more source

Overview of Digital Agriculture Technologies in Indonesia: Policies, Implementation, and Covid-19 Relation

open access: yes, 2022
Mangurai SUNM   +6 more
europepmc   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira   +5 more
wiley   +1 more source

A Reproducible SEM Surface Imaging Protocol for Monitoring Microstructural Changes During Gas–Rock Interactions

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT Reliable characterization of mineralogical and textural changes in rock samples is essential for understanding fluid–rock interactions, particularly in experimental studies simulating subsurface conditions. This study presents a reproducible protocol for scanning electron microscopy (SEM) analysis of rock surfaces before and after exposure to ...
Berta Ordóñez‐Casado   +3 more
wiley   +1 more source

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