Results 161 to 170 of about 633,975 (339)
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
We performed a survival analysis of abdominal gastroenterological cancer surgery cases with and without anti‐adhesive barriers, with the development of adhesive bowel obstruction as the outcome. The incidence of adhesive bowel obstruction was significantly lower in patients undergoing open or laparoscopic colorectal surgery in the anti‐adhesive ...
Shota Ebinuma +5 more
wiley +1 more source
Perception, length of its duration, evaluation: Various authors, related observations
Ondřej Krátký
doaj +1 more source
Explicitly predicting outcomes enhances learning of expectancy-violating information [PDF]
Garvin Brod +4 more
openalex +1 more source
Emotional responses to violated expectations
Nicholas, Levy, Eddie, Harmon-Jones
openaire +1 more source
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana +3 more
wiley +1 more source
Violation of eating expectancies does not reduce conditioned desires for chocolate
Karolien van den Akker +3 more
openalex +2 more sources
Multiple Testing Techniques in Growth Econometrics [PDF]
This paper discusses two longstanding questions in growth econometrics which involve multiple hypothesis testing. In cross sectional GDP growth regressions many variables are simultaneously tested for significance.
Deckers, Thomas, Hanck, Christoph
core +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
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source

