Results 101 to 110 of about 7,233 (199)

Lost ground, lost value: Investigating the relationship between soil erosion and agricultural land value

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract This study examines the impact of soil erosion on agricultural land values in the United States (US) Midwest. Based on a novel county‐level panel data set with information on soil erosion levels and agricultural land values covering five census years (1997, 2002, 2007, 2012, and 2017), we separately investigate the direct effect of two types ...
Le Chen   +3 more
wiley   +1 more source

A quantum-inspired classification for random mixed states. [PDF]

open access: yesSci Rep
Sergioli G   +6 more
europepmc   +1 more source

The Herfindahl neutral point: A firm‐level threshold for managing market concentration with evidence from US hog packing

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract This paper derives a firm‐level threshold, the Herfindahl Neutral Point, from the standard concentration index used in merger review. At this threshold, a marginal expansion leaves the index unchanged. Firms below the threshold reduce concentration when they expand; firms above it increase concentration.
Andrew J. Keller, Krishna P. Paudel
wiley   +1 more source

Testing two-step models of negative quantification using a novel machine learning analysis of EEG. [PDF]

open access: yesLang Cogn Neurosci
Ramotowska S   +6 more
europepmc   +1 more source

Generalized Revenge. [PDF]

open access: yesAustralas J Philos, 2020
Murzi J, Rossi L.
europepmc   +1 more source

T. rex cognition was T. rex‐like—A critical outlook on diverging views of the neurocognitive evolution in dinosaurs

open access: yesThe Anatomical Record, EarlyView.
Abstract A recent debate has emerged between Caspar et al. (2024) and Herculano‐Houzel (2023) on inferring extinct dinosaur cognition by estimating brain neuron counts. While thought‐provoking, the discussion largely overlooks the function of cognition, as well as partly neglects the difficulties involved in estimating neuron numbers, which according ...
Thomas Rejsenhus Jensen   +7 more
wiley   +1 more source

Dynamic, Unconstrained Optimization of Secreted Enzyme Production in Fed‐Batch Fermentation Using Reinforcement Learning

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Reinforcement learning (RL) has been used to control a wide range of dynamic processes, especially ones that are too complex to model well or have stochastic environmental perturbations. Fed‐batch fermentations are subject to changes in starting cell growth rates and process variations that can affect cell growth and secreted target production.
Sai Harish Uthravalli   +3 more
wiley   +1 more source

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