Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever +2 more
wiley +1 more source
Optimized scheduling of integrated energy systems: a multi-dimensional electricity, hydrogen, ammonia, heat synergy approach using the LSDBO-WOA algorithm. [PDF]
Tu N, Yang J, Yan X, Fan Z.
europepmc +1 more source
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda +2 more
wiley +1 more source
Hybrid reinforcement learning optimization of aging aware energy management and powertrain sizing in fuel cell hybrid electric vehicles. [PDF]
Mostashiri A, Montazeri-Gh M.
europepmc +1 more source
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
Greenhouse Gas Emissions and Cost Trade-Offs of Renewable Feedstocks for Methyl Methacrylate Production. [PDF]
Bowler S, Hunt WC, McKechnie J.
europepmc +1 more source
Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
An emission-capacitated vehicle routing model for sustainable urban waste collection using hybrid guided local search. [PDF]
Khalid QS +3 more
europepmc +1 more source
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
AI in Membrane Design and Optimization for Hydrogen Fuel Cells. [PDF]
Nasser B +4 more
europepmc +1 more source

