We tested the performance of Cocoa, an existing dictionary/rule based entity tagger that tags multiple semantic types in biomedical domain including diseases, on disease/sign/symptom detection in clinical records in the ShARe/CLEF eHealth task. Initial analysis showed that the precision was high (≥ 90%), but recall was low (≈ 50%) due to (a) phrases peculiar to clinical notes (b) disambiguation...

Two simple class-F NVI1VIIC power amplifiers are described using 0.7tm field-plated GaN HEMT devices. One circuit was designed for operation at 2.0 GHz and achieved a power-added-efficiency of 50%, 38 dBm output power, and 6.2 W/mm power density. A second circuit was designed at 2.8 GHz and achieved a PAE of 46% with 37 dBm output power and 7.0 W/mm power density.