BACKGROUND Unexpected surgical cancellation is common and can have significant adverse effects. Cancellation rates vary because of a lack of a standard definition, different patient populations and study methodology. We hypothesized that case cancellation has a different pattern in a dedicated ambulatory surgical center compared to a general operating room (OR) setting in a large academic cente...

In this paper, by combining modular forms and characteristic forms, we obtain general anomaly cancellation formulas of any dimension. For .4kC 2/–dimensional manifolds, our results include the gravitational anomaly cancellation formulas of Alvarez-Gaumé and Witten in dimensions 2, 6 and 10 [1] as special cases. In dimension 4k C 1 , we derive anomaly cancellation formulas for index gerbes. In d...

In this paper, a non-stationary errors-in-variables (EIV) model estimation method is proposed and applied to the problem of model estimation for noise-cancellation in transient electromagnetic mineral exploration. Alternative methods for noise cancellation in these systems rely on specific signal characteristics, and are thus less readily transferable to other applications. The proposed method ...

By studying modular invariance properties of some characteristic forms, we prove some new anomaly cancellation formulas which generalize the Han-Zhang and Han-Liu-Zhang anomaly cancellation formulas

A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable high data rate transmission over a broadband wireless channel. A main challenge in wireless communication is retrieval of the channel state information and ICI cancellation. The channel estimation and ICI cancellation is estim...

Commonly used wideband adaptive feedback cancellation techniques do not provide satisfactory performance for reducing feedback oscillation in hearing aids. In this paper, a band-limited adaptive feedback cancellation algorithm using normalized filtered-X LMS techniques is proposed that provides good cancellation efficiency, convergence behavior and better output sound quality for speech signals...