background: noise is defined as unwanted or meaningless sound that apart from auditory adverse health effects may distract attention from cues that are important for task performance. human performance is influenced by many job-related factors and workplace conditions including noise level. objective: to study the effect of noise on human performance. methods: the participants included 40 healt...

In this paper, adaptive estimation based on noisy quantized observations is studied. A low complexity adaptive algorithm using a quantizer with adjustable input gain and offset is presented. Three possible scalar models for the parameter to be estimated are considered: constant, Wiener process and Wiener process with deterministic drift. After showing that the algorithm is asymptotically unbias...

We study the pathwise (strong) approximation of scalar stochastic differential equations with respect to the global error in the L2-norm. For equations with additive noise we establish a sharp lower error bound in the class of arbitrary methods that use a fixed number of observations of the driving Brownian motion. As a consequence, higher order methods do not exist if the global error is analy...

Purpose The purpose of these guidelines is to assist practitioners in improving their antineoplastic medication-use system and error-prevention programs. They supplement ASHP’s Guidelines on Preventing Medication Errors in Hospitals and address error prevention within diverse health care settings. Further, these guidelines provide updated general guidance to include a standard definition of a “...

ultrasound images suffer of multiplicative noise named speckle. different de-speckling algorithms run either in spatial domain or in transformed domain. in this paper, an adaptive filter in spatial domain according to assume the nakagami distribution as the statistic of log-compressed ultrasound images is used. for de-speckling in transformed domain, the non-sub sampled shearlet transform is us...