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
American Indian community engagement and the structural and social determinants of health: results from the THRIVE assessment. [PDF]
Webb K +7 more
europepmc +1 more source
Wages and the risk of displacement [PDF]
In this paper a simultaneous-equations model of firm closing and wage determination is specified in order to analyse how wages adjust to unfavorable product demand shocks that raise the risk of displacement through firm closing, and to what extent an ...
Carneiro, Anabela, Portugal, Pedro
core
ABSTRACT This paper explores the convergence in on‐farm diversification strategies of agricultural holdings, between remote areas and more central ones. Using Italian farm‐level data, we explore the determinants of diversification strategies across farms.
Gianluca Grilli +2 more
wiley +1 more source
A reservation-based clinical trial on inflammatory biomarkers in American Indian/Alaska Native cancer patients: Rationale and design of the Adaptive Prehab Approaches in Cancer Healing and Education (APACHE) Program. [PDF]
Erdrich J +10 more
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Gender differences in access to extension services and major farm inputs among paddy seed growers in Rautahat district of Nepal. [PDF]
Timalsina S +4 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Positive narrativity enhances sense of agency toward a VR avatar. [PDF]
Hamagashira K, Azuma M, Shimada S.
europepmc +1 more source

