Results 251 to 260 of about 651,322 (324)
ABSTRACT Climate variability is affecting the productivity, profitability, and resilience of smallholder dairy producers in developing countries. The adoption of climate‐smart (CS) dairy practices has been promoted to mitigate these negative effects. However, while interest in dairy CS practices is growing, empirical evidence on their adoption patterns
Mercy Mburu+4 more
wiley +1 more source
The Behavioral Economics of Healthier School Lunch Payment Systems
Brian Wansink+2 more
openalex +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
Psychology and Behavioral Economics Lessons for the Design of a Green Growth Strategy
Elke U. Weber, Eric J. Johnson
openalex +3 more sources
Evolution and market behavior in economics and finance: introduction to the special issue [PDF]
Giulio Bottazzi, Pietro Dindo
openalex +1 more source
ABSTRACT The Mekong Delta (MKD), Vietnam has achieved high rice productivity through rapid intensification. However, this progress has led to environmental degradation and adverse economic and health effects. To mitigate these challenges, sustainable agricultural practices (SAPs) have been promoted.
Nguyen Thi Thu Hien+5 more
wiley +1 more source
Behavioral Economics Perspectives on Public Sector Pension Plans
John Beshears+3 more
openalex +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo+5 more
wiley +1 more source
Repeated stress exposure causes strain‐dependent shifts in the behavioral economics of cocaine in rats [PDF]
Peter A. Groblewski+4 more
openalex +1 more source