Computer Modeling of Physiological Conditions for Better Understanding of Intracranial Blood Pressure and Brain Vasculature

Millions of people suffer from various diseases of the central nervous system such as stroke, Parkinson's disease, Alzheimer's disease, and hydrocephalus. To improve the treatment options available, a better understanding of the intracranial dynamics is required. The understanding of intracranial dynamics leads to quantification of fluid flow, cerebrospinal blood pressure, and extension of brain vasculature during the cardiac cycle.

The identification of chemicals using clustering and extrapolation from an external database for electronic nose sensors

Electronic noses, small electronic instruments with carbon sensing films, provide an artificial version of our olfactory system. In conjunction with pattern recognition techniques, electronic noses can be used to identify odor combinations, perform rudimentary perceptual analysis, and classify unknown odors. Although many different algorithms, from statistical analysis to biologically-inspired neural networks, have been implemented as e-nose pattern recognition techniques, no perfect algorithm has been found. This paper explores the creation and implementation of a novel identification system that uses an outside database to extrapolate the identity of an unknown odor.

Comparison of Sodium Hypochlorite and Chlorhexidine Gluconate: Quality of Current Evidence

Successful endodontic treatment involves removal of necrotic tissue, bacterial infiltrates, and accumulated procedural debris. However, available irrigants may potentially cause postoperative pain which results in discomfort for the patients. This study aims to evaluate the quality of the current evidences that compared the mildness and antimicrobial activities of the most widely used endodontic irrigants: sodium hypochlorite and chlorhexidine gluconate. A Timmer analysis is performed in developing a best base series relevant to antibacterial effects of these two root canal irrigants.