Results 231 to 240 of about 2,125,910 (378)

Heterogeneity in Food Price Inflation Convergence Across the EU: Evidence From Club Dynamics and Structural Breaks

open access: yesAgribusiness, EarlyView.
ABSTRACT This study examines food price inflation rate convergence among EU27 Member States from 2005 to 2024, focusing on structural breaks, external shocks, and regional disparities. Using panel unit root tests and club convergence analysis, the findings reveal no overall convergence but identify multiple convergence clubs.
Tibor Bareith, Imre Fertő
wiley   +1 more source

An Indecent Proposal: The Dual Functions of Indirect Speech

open access: yesCognitive Sciences, 2015
Alek Chakroff   +3 more
semanticscholar   +1 more source

Combination of Ethoxybenzyl‐Diethylenetriamine Pentaacetic Acid‐Enhanced Magnetic Resonance Imaging and a Serum Biomarker Is Useful in the Diagnosis of Hepatic Sinusoidal Disorder After Chemotherapy Treatment

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ROC analyses of APRI score, EOB‐MRI, and a combination of EOB‐MRI and APRI score for blue liver. ABSTRACT Aim Sinusoidal obstruction syndrome (SOS), also known as “blue liver (BL),” is a common hepatic injury following oxaliplatin‐based chemotherapy in patients with colorectal liver metastases (CRLM).
Tomonari Shimagaki   +7 more
wiley   +1 more source

System‐level analysis of industrial electrification

open access: yesAIChE Journal, EarlyView.
ABSTRACT Electrification is a promising method for industrial decarbonization, but understanding its potential is challenging due to the plethora of relevant technologies and industrial sectors it can be applied to. To this end, we develop an assessment framework to quantify the cost and environmental impacts of electrification, including the option to
Julia Granacher   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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