An online outlier identification and removal scheme for improving fault detection performance.

Measured data or states for a nonlinear dynamic system is usually contaminated by outliers. Identifying and removing outliers will make the data (or system states) more trustworthy and reliable since outliers in the measured data (or states) can cause missed or false alarms during fault diagnosis. In addition, faults can make the system states nonstationary needing a novel analytical model-based fault detection (FD) framework.

Solid phase extraction of ultra traces mercury (II) using octadecyl silica membrane disks modified by 1,3-bis(2-ethoxyphenyl)triazene (EPT) ligand and determination by cold vapor atomic absorption spectrometry.

A facile and highly efficient method was developed for the preconcentration of the ultra trace amounts of mercury (II) ions. Octadecyl silica membrane disk was modified by the recently synthesized triazene ligand, 1,3-bis(2-ethoxyphenyl)triazene (EPT), and cold vapor atomic absorption spectrometry was used to determine the resultant preconcentrated Hg(II) ions. Solution studies with EPT and a series of metal ions were done in advance, and the results showed a strong affinity of EPT to the mercury ions.

Histopathological studies on the effects of peroxynitrite on the lungs and trachea of rabbits.

Peroxynitrite (ONOO-) is the reaction product between nitric oxide and the superoxide anion. It is a biological oxidant and cytotoxic anion, produced in vivo, which might cause inflammation and damage to the lungs. This study was designed to investigate whether direct contact with peroxynitrite could cause pathological changes in the airways.