Results 241 to 250 of about 321,943 (355)
Inflation: Do Expectations Trump the Gap?
Jeremy Piger, Robert H. Rasche
openalex +1 more source
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Adaptive food price forecasting improves public information in times of rapid economic change. [PDF]
MacLachlan MJ +5 more
europepmc +1 more source
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn +3 more
wiley +1 more source
The unintended consequences of the inflation reduction act on biosimilar market incentives and Medicare savings. [PDF]
Beinfeld MT +5 more
europepmc +1 more source
U.S. Consumers Sometimes Prefer Seemingly Redundant Labels
ABSTRACT More food products are carrying seemingly redundant labels, which are marketing claims or certifications that reiterate product attributes already conveyed. In this paper, we aim to answer two questions on redundant labels. First, do consumers view redundant labels as deceptive or informative? Second, how do redundant labels affect product and
Jackson Lusk +2 more
wiley +1 more source
Exploring the associations between food security and multidimensional well-being under economic uncertainty: a cross-sectional study in Türkiye. [PDF]
Haydaroğlu M, Kopuz TNY, Güneş FE.
europepmc +1 more source
Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve
Sophocles Mavroeidis +2 more
openalex +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source

