Results 181 to 190 of about 1,892 (214)
Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez +3 more
wiley +1 more source
Unravelling the Holomorphic Twist: Central Charges. [PDF]
Bomans P, Wu J.
europepmc +1 more source
Drought Exposure and Dynamic Input Adjustment in North Central U.S. Agriculture
ABSTRACT This article examines whether realized extreme drought episodes affect the speed of adjustment of derived input demands and output supplies toward their long‐run equilibrium in U.S. agriculture, focusing on states in the North Central Region.
Victor H. Lana Pinto +2 more
wiley +1 more source
Complexity, Uncertainty, and Entropy: Applications to Food Sensory Perception and Other Complex Phenomena. [PDF]
Sturtewagen L, van Mil H, Linden EV.
europepmc +1 more source
ABSTRACT Background Frailty predicts outcomes after colorectal cancer surgery, but postoperative changes remain unclear. We previously reported improvement in FRAIL Scale‐based frail/pre‐frail status 1 year after curative minimally invasive surgery (MIS).
Hajime Ushigome +9 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Artificial intelligence in bread making: Applications in quality control, formulation and sensory prediction. [PDF]
Marimuthu Murugesan +6 more
europepmc +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Nematic and Partially Polarized Phases in Rhombohedral Graphene with Varying Number of Layers: An Extensive Hartree-Fock Study. [PDF]
Parra-Martínez G +3 more
europepmc +1 more source

