Cardiac tamponade associated with an elevated arterial blood pressure.

A 30-year-old male presented with acute pericarditis and a moderate pericardial effusion. His condition deteriorated suddenly with a marked elevation in blood pressure. The hypertension was erroneously correlated with a low probability of cardiac tamponade, leading to a delay in performing an echocardiogram.

Vegetation and bilateral congenital coronary artery fistulas.

This report describes the case of a man who presented with fever, weight loss, and Streptococcus mitis septicemia. He was found to have congenital bilateral coronary artery fistula, a rare condition. There was no evidence of vegetation on the heart valves on transthoracic or transesophageal echocardiography.

Acute neurological events in a patient with secondary polycythaemia and arteriovenous malformations.

General internists and adult cardiologist are seeing adult congenital heart disease more frequently in their clinical practices. We report the case of a polycythaemic patient with the cerebral and pulmonary arteriovenous malformations (AVMs) who presents with a transient ischaemic attack (TIA). Treatment strategies such as antiplatelet drugs and vensection may at best be ineffective and at worst detrimental to the patient.

Wiring the olfactory bulb--activity-dependent models of axonal targeting in the developing olfactory pathway.

Two recent experimental studies /20,21/ revealed that odorant-evoked activity-dependent competition is significant in the organisation and maintenance of the olfactory system. In this paper, we investigate the generation of a chemotopic sensory map in the olfactory bulb through three models driven by high-density optical chemosensor arrays which have similar properties to olfactory receptor neurons. By exposing the sensor arrays to various odours, these models were subjected to Hebbian learning to achieve self-organisation, potentially explaining the activity-dependent competition demonstrated by these recent studies.

Automatic decoding of sensor types within randomly ordered, high-density optical sensor arrays.

In this paper automatic sensor identification of sensor classes within a high-density randomized array, without a priori knowledge of sensor locations, is demonstrated. Two different fluorescence-based sensor types, with hundreds of replicates each, were randomly distributed into an optical imaging fiber array platform. The sensor element types were vapor-sensitive microspheres with the environmentally-sensitive fluorescent dye Nile Red adsorbed on their surface.