The scandals in publicly listed companies have highlighted the large losses that can result from financial statement fraud and weak corporate governance.Machine learning techniques have been applied to automatically detect financial statement fraud with great success.This work presents the first application of a Bayesian inference approach Cleaning
The past decade has witnessed the boom of porous carbon materials, especially three-dimensional (3D) ones, as supercapacitor electrode materials.Their large surface areas, tunable pore volumes, adjustable degrees of pore interconnectivity, and the potential to possess hierarchical porous networks have enabled them to achieve simultaneously high cap
This paper deals with the robust fault estimation based synchronization problem for a class of fractional-order multi-weighted complex dynamic networks subject to external disturbances.Specifically, the synchronization problem is converted to an equivalent uniformly ultimately boundedness problem of the corresponding error system by use of Audio Ou
Abstract In this paper, we examine the influence of medical malpractice tort reform on the level of private health insurance company losses incurred.We employ a natural experiment framework centered on a DVD Discs series of tort reform measures enacted in Texas in 2003 that drastically altered the medical malpractice environment in the state.The re
As the oceans absorb anthropogenic CO2 they become more acidic, a problem termed ocean acidification (OA).Since this increase in CO2 is occurring rapidly, OA may have profound implications for marine ecosystems.In the temperate northeast Pacific, fisheries play key economic and cultural roles and provide significant employment, especially in rural