Market reactions to auditor change filings have been studied over a long Drinks period in the literature.We provide a review of the literature on market response to auditor changes and identify a superset of variables used in published research.Applying methods from machine learning to optimize variable selection, we build models that explain marke
Background: Breastfeeding is a highly efficacious, health-promoting activity that prevents many disorders and diseases.Successful breastfeeding depends on Switch various maternal physiological and psychological factors, among which breastfeeding self-efficacy is an adjustable framework.This study investigates the effect of breast massage training o
Previous research has examined the effects of emotional experience (i.e., the ease with which words evoke emotion information) in semantic categorization, word naming, and Stroop tasks (Moffat, Siakaluk, Sidhu, & Pexman, 2015; Newcombe, Campbell, Siakaluk, & Pexman, 2012; Siakaluk, Knol, & Pexman, 2014).However, to date there are no published repor
Abstract Background In cancer, normal epigenetic patterns are disturbed and contribute to gene expression changes, disease onset, and progression.The cancer epigenome is composed of the epigenetic patterns present in the tumor-initiating cell at the time of transformation, and the tumor-specific epigenetic alterations that are acquired during tumor
The paper main purpose is monitoring of tool wear in metal cutting using neural networks due to their ability of learning and adapting their self, based on experiments.Monitoring the cutting process is difficult to perform on-line because of the complexity of tool wear process, which is the most important parameter that defines the tool state at a