Results 171 to 180 of about 249,495 (259)

AI‐driven circular economy optimization in waste management: A review of current evidence

open access: yesEnvironmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade   +3 more
wiley   +1 more source

Commodity risk assessment of Prunus persica and P. dulcis plants from Türkiye. [PDF]

open access: yesEFSA J, 2023
EFSA Panel on Plant Health (PLH)   +31 more
europepmc   +1 more source

WHEAT BUFFER STOCKS AND TRADE IN AN EFFICIENT GLOBAL ECONOMY [PDF]

open access: yes
This study assesses storage and trade of wheat in an integrated global economy. Domestic and international linkages are analyzed using a dynamic rational expectations model of the world wheat market.
Makki, Shiva S.   +2 more
core   +1 more source

The EU's Strategy for Sustainability: A Landmark Turn With the European Green Deal?

open access: yesEuropean Policy Analysis, EarlyView.
ABSTRACT While the European Green Deal (EGD) has been widely recognized as a milestone in the EU's sustainability strategy, scholars disagree on the nature of the policy change it represents. Critics highlight its limited social and environmental ambitions, despite its portrayal as a “man on the moon” moment.
Ekaterina Domorenok, Franco Gatti
wiley   +1 more source

Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence

open access: yesEnergy Science &Engineering, EarlyView.
Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek   +3 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

Development of the Human–Equine Attachment Scale

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Human–horse relationships encompass diverse roles, from companion to competition partner. The impact of such bonds informs owner decision‐making regarding horse management and veterinary care, yet standardised instruments to measure these unique bonds are limited.
Richard H. Corrigan   +5 more
wiley   +1 more source

Allocating Vote: Biosecurity - Towards an "Economics-Based" Approach for Setting Priorities for the Importation of Risk Goods [PDF]

open access: yes
The New Zealand government (through its agency the Ministry of Agriculture and Forestry, MAF) seeks to mitigate the potential negative impacts of importation through requiring commodities that may pose a risk to New Zealand's primary production systems ...
Ryan, Michael
core   +1 more source

When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley   +1 more source

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