Results 31 to 40 of about 11,064 (263)
A Hybrid Swarm-Based System for Commodity Price Forecasting During the Covid-19 Pandemic
IEEE Access, 2023 Commodity price forecasting is an essential task for the definition of economic strategies to reduce the impact of inflation in several countries. During the covid-19 pandemic, commodity prices have increased due to external factors such as the influence
Andre L. S. Xavier +2 more
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Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Revisiting super-cycles in commodity prices
Central Bank Review, 2016 It is argued that business cycles have been moderating. However, there are a limited number of studies in the literature analyzing the cyclical behaviour of commodity prices in the last decades.
Fatma Pınar Erdem, İbrahim Ünalmış
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Price Discovery of Agri Commodities: An Integrated Approach
Финансы: теория и практика, 2022 The purpose of this paper is to examine how the introduction of the pan-India electronic trading portal (eNAM) impacted the information transmission and price discovery in informationally linked markets of India for agricultural commodities.
A. Mishra, R. P. Kumar
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Advanced Materials, EarlyView.Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine +5 more
wiley +1 more source
Explaining the Persistence of Commodity Prices [PDF]
Computational Economics, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Serena Ng, Francisco Ruge-Murcia
openaire +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Commodity Prices at Record Level [PDF]
Intereconomics, 2005 Crude oil quotations have reached a historical high and prices for industrial raw materials continue to rise. However, the feared negative effects of higher commodity prices on economic growth appear to be limited in the consumer countries and producers would like to maintain the higher price level. Will they succeed?
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Advanced Science, EarlyView.Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 more
wiley +1 more source
Common factors of commodity prices [PDF]
Journal of Applied Econometrics, 2017 SummaryIn this paper, we extract latent factors from a large cross‐section of commodity prices, including fuel and non‐fuel commodities. We decompose each commodity price series into a global (or common) component, block‐specific components, and a purely idiosyncratic component.
Delle Chiaie, Simona +2 more
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