Results 201 to 210 of about 1,119,408 (283)
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia +4 more
wiley +1 more source
A Physical Framework for Algorithmic Entropy. [PDF]
Edmonds J.
europepmc +1 more source
ABSTRACT Estimates of reductions in greenhouse gas (GHG) emissions from lower demand for cattle‐based products must account for substitution effects. This study collected data through two surveys—one on ground beef and another on dairy milk—to evaluate substitution effects and potential GHG reductions.
Brandon R. McFadden +5 more
wiley +1 more source
A Bayesian Framework with Dirichlet Priors and Spatial Smoothing for Protein Rotamer Prediction. [PDF]
Al Nasr K +3 more
europepmc +1 more source
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source
Exact path-integral representation of the Wright-Fisher model with mutation and selection. [PDF]
Waxman D.
europepmc +1 more source
Abstract This study explores the rent price ratio in agricultural land markets, crucial for evaluating market efficiency, policy needs, and farmer decision‐making. Traditionally, the analyses faced challenges due to the absence of concurrent sale and rent data for the same land, potentially leading to biased results.
Marius Michels +4 more
wiley +1 more source
A time-dependent reliability model for spatial intermittent motion mechanisms via constant-amplitude alternating fatigue load equivalent method. [PDF]
Cheng P, Zhang T, Zhu Y.
europepmc +1 more source
ABSTRACT Vending is an important sector in the daily lives of many people, and coffee is the most frequently consumed product in the European market. Like many other sectors, vending is responding to the challenge of sustainable development by taking various actions, such as offering increasingly ecologically sound coffee while maintaining/improving ...
Alberto Bertossi +2 more
wiley +1 more source
Learning Covariate Relations in Disease Progression Models Using Symbolic Neural Networks. [PDF]
Sundell J +4 more
europepmc +1 more source

