Toward ambulatory monitoring of vocal behavior at the physiological level using deep ensembles and Bayesian neural networks. [PDF]
Zhang Z.
europepmc +1 more source
The Random Power Function for Tests Based on Pivotal Quantities
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis +2 more
wiley +1 more source
Quantifying urban and landfill methane emissions in the United States using TROPOMI satellite data. [PDF]
Wang X +10 more
europepmc +1 more source
Managerial Overoptimism and Discretionary Disclosure
ABSTRACT We examine the effect of managerial overoptimism on discretionary disclosure of subjective information, such as earnings forecasts. The market applies a discount upon disclosure to capture the possibility that the revealed subjective expectation is too optimistic.
Nikolaj Niebuhr Lambertsen +1 more
wiley +1 more source
Machine Learning Inversion Method for Elastoplastic Constitutive Parameters of Encapsulation Materials. [PDF]
Gao M +8 more
europepmc +1 more source
Contribution of Fat Adjustment to Residual Feed Intake Estimation in Beef Cattle
ABSTRACT Including fat thickness as a covariate in the regression model used to calculate residual feed intake (RFI) could help preserve carcass quality traits, such as marbling, flavour and juiciness, by accounting for variation in fat deposition.
Larissa Bordin Temp +8 more
wiley +1 more source
A primer on variational inference for physics-informed deep generative modelling. [PDF]
Glyn-Davies A +4 more
europepmc +1 more source
Background Reward learning is thought to undergo refinement in adolescence, but little is known about how computational components of reinforcement learning develop. Given that adolescence is a sensitive period for reward system plasticity with associated vulnerability for depression, it is important to understand developmental trajectories of ...
Holly Sullivan‐Toole +5 more
wiley +1 more source
Integrating physics and machine learning for unified seismic forward modeling and reservoir property inversion. [PDF]
Zayier Y, Yalikun Y, Cheng Y, Yang D.
europepmc +1 more source
Abstract Genomic resources, new microsatellite markers and a novel observation of a fractal pattern in the genetic population structure are presented for curimba, Prochilodus lineatus, a freshwater migratory model species of South America. Our main goals were to investigate the presence of mixed fish stocks and the effects of damming‐induced ...
Gabriel M. Yazbeck +5 more
wiley +1 more source

