medication error (me) is the most common preventable cause of adverse drug events which negatively affects patient safety. inadequate, low-quality studies plus wide estimation variations in me from developing countries including iran, decreases the reliability of me evaluations. to clarify sources, underreporting reasons and preventive measures of mes, we reviewed iran current available literat...

BACKGROUND Medical errors and preventable adverse events are a major cause of concern, especially in the emergency department (ED) where its prevalence has been reported to be roughly of 5-10% of visits. Due to a short length of stay, emergency patients are often managed by a sole physician - in contrast with other specialties where they can benefit from multiples handover, ward rounds and staf...

A new methodology is proposed to estimate and account for systematic model error in linear filtering as well as in nonlinear ensemble based filtering. Our results extend the work of Dee and Todling (2000) on constant bias errors to time-varying model errors. In contrast to existing methodologies, the new filter can also deal with the case where no dynamical model for the systematic error is ava...

2. Properties of Odometry Errors This paper describes a practical method for reducing In a typical differential drive mobile robot incremental odometry errors caused by kinematic imperfections of a mobile encoders are mounted onto the two drive motors to count the robot. These errors, here referred to as "systematic" errors, stay wheel revolutions. After a short sampling interval I the left and...

LiDAR is a rapid and effective system to collect 3D surface data. In order to achieve the expected accuracy of LiDAR data, systematic errors in a LiDAR system should be defined and removed by a calibration procedure. In this paper, we consider mounting errors (lever-arm and boresight angles) and systematic errors of a laser scanner (scan mirror angle scale and laser range bias). Those systemati...

This paper describes position control of autonomous mobile robot using combination of Kalman filter and Fuzzy logic techniques. Both techniques have been used to fuse information from internal and external sensors to navigate a typical mobile robot in an unknown environment. An obstacle avoidance algorithm utilizing stereo vision technique has been implemented for obstacle detection. The odomet...

This paper gives two lossless speech compression schemes Hamming correction codes compressor (HCCC) and Systematic Linear Block Code Compressor (SLBC) based on error correcting Hamming code and systematic linear block codes respectively. Hamming codes are a family of linear errorcorrecting codes that can detect up to two-bit errors or correct one-bit errors. Systematic linear block code is any ...

A systematic review is review of published literature prepared with a systematic approach to minimise biases (systematic errors) and random errors (simple mistakes). It includes information on materials and methods used in published literature; the search strategy and criteria for including trials should be transparent. A systematic review should, therefore, be reproducible and allow critical a...