A Rigorous Temperature-Dependent Stochastic Modelling and Testing for MEMS-Based Inertial Sensor Errors.

In this paper, we examine the effect of changing the temperature points on MEMS-based inertial sensor random error. We collect static data under different temperature points using a MEMS-based inertial sensor mounted inside a thermal chamber. Rigorous stochastic models, namely Autoregressive-based Gauss-Markov (AR-based GM) models are developed to describe the random error behaviour.

Inhaled foreign bodies: presentation, management and value of history and plain chest radiography in delayed presentation.

Objective: To assess the clinical and management aspects of tracheobronchial foreign body (FB) in children and adults; to judge the influence of the operator's experience on the outcome of the procedure and to evaluate the factors associated with delayed diagnosis of FB aspiration (FBA) in children; and to compare clinical, radiologic and bronchoscopic findings in the patients with suspected FB inhalation (FBI).

Study Design And Setting: Retrospective review of a 10-year experience (from 1995 to 2005), involving a 1512-bed Mansoura university hospital and a 184-bed Mansoura emergency hospital.

Material And Methods: Three thousand three hundred patients underwent rigid bronchoscopy for suspected FBI between 1995 and 2005 in Mansoura, Egypt.