Results 71 to 80 of about 1,624,324 (312)
Temperature and Farm Labor in Nigeria
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT We estimate the impact of temperature shocks on the composition of farm labor in rural Nigeria using a nationally representative household panel survey. Leveraging plausibly exogenous year‐to‐year variation in growing season temperatures, we find that warmer temperatures significantly alter farm labor composition, prompting a substantial shift
Andu Berha
wiley +1 more source
Planning of technical flood retention measures in large river basins under consideration of imprecise probabilities of multivariate hydrological loads [PDF]
Natural Hazards and Earth System Sciences, 2009 As a result of the severe floods in Europe at the turn of the millennium, the ongoing shift from safety oriented flood control towards flood risk management was accelerated.
D. Nijssen +3 more
doaj
Dilating and contracting arbitrarily [PDF]
, 2022 Standard accuracy-based approaches to imprecise credences have the consequence that it is rational to move between precise and imprecise credences arbitrarily, without gaining any new evidence.
Builes, David +2 more
core
Annals of Gastroenterological Surgery, EarlyView.This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási +7 more
wiley +1 more source
Adams Conditioning and Likelihood Ratio Transfer Mediated Inference
Scientific Annals of Computer Science, 2019 Bayesian inference as applied in a legal setting is about belief transfer and involves a plurality of agents and communication protocols. A forensic expert (FE) may communicate to a trier of fact (TOF) first its value of a certain likelihood ratio ...
Jan A. Bergstra
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.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
Learning Probabilities: Towards a Logic of Statistical Learning [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 We propose a new model for forming beliefs and learning about unknown probabilities (such as the probability of picking a red marble from a bag with an unknown distribution of coloured marbles).
Alexandru Baltag +2 more
doaj +1 more source
Propagating imprecise probabilities through event trees [PDF]
, 2007 Event trees are a graphical model of a set of possible situations and the possible paths going through them, from the initial situation to the terminal situations. With each situation, there is associated a local uncertainty model that represents beliefs
De Cooman, Gert +2 more
core +1 more source
American Journal of Industrial Medicine, EarlyView.ABSTRACT Background Classified as carcinogenic to humans by the International Agency for Research on Cancer, aluminum production has been transitioning towards lower polycyclic aromatic hydrocarbon‐emitting prebake smelters. This study explored the risk of cancer and mortality over 20 years follow‐up among a cohort of aluminum prebake smelter workers ...
Natasha Kinsman +7 more
wiley +1 more source
Chemical Engineering Transactions, 2013 Crack propagation in metallic mechanical components subject to cyclic loading may lead to loss of serviceability or even collapse. Often, these undesirable events may be prevented by performing appropriate maintenance activities.
E. Patelli +2 more
doaj +1 more source