Nowcasting World Trade With Machine Learning: A Three‐Step Approach
Journal of Forecasting, EarlyView.ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal 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
Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
iNew Medicine, EarlyView.ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren +6 more
wiley +1 more source
Journal of International Development, EarlyView.ABSTRACT Food insecurity remains a persistent challenge in rural Colombia, driven by structural inequalities, livelihood constraints and exposure to shocks. This paper examined the determinants and predictive drivers of household food insecurity using nationally representative data from the Food and Agriculture Organisation (FAO) Data in Emergencies ...
Adrino Mazenda
wiley +1 more source
Efficient First‐Principles Inverse Design of Nanolasers
Laser &Photonics Reviews, EarlyView.This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch +5 more
wiley +1 more source
Research on Noise Reduction and Analysis of Reciprocating Friction Vibration Signals Based on the Complementary Ensemble Empirical Mode Decomposition. [PDF]
Sensors (Basel)Yu Y, Wei H, Liu Z.
europepmc +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley +1 more source
A Deep Learning-Guided Ensemble Empirical Mode Decomposition Method for Single-Channel Fetal Electrocardiogram Extraction. [PDF]
Sensors (Basel)Xu X, Zhang Y, Rao Y, Xu Y, Gao Y, Tu H.
europepmc +1 more source
Benthic megafauna and the functioning of macroalgal forests and urchin barrens
Oikos, EarlyView.Two temperate rocky reef food‐web models, representing the trophic diversity of the Mediterranean rocky reef communities, were built for the two stable states: macroalgal forests and barren grounds, which are characterized by opposite amounts of erect macroalgal biomass.
Chiara Bonaviri +18 more
wiley +1 more source
Hybrid Framework for Cartilage Damage Detection from Vibroacoustic Signals Using Ensemble Empirical Mode Decomposition and CNNs. [PDF]
Sensors (Basel)Machrowska A +5 more
europepmc +1 more source