We read with great interest the paper published in the Medico-Legal Journal [1] concerning a 52-year-old diabetic male patient with allergy to amoxicillin and ampicillin, who developed cardio-respiratory collapse due to type II variant of Kounis syndrome following ceftazidime intravenous administration (without previous penicillin skin testing) and finally succumbed despite intensive care treatment. Histopathology revealed myocardial cellular infiltrates primarily consisting of neutrophils with some mast cells and eosinophils, while autopsy tryptase levels were increased to 118 mg/L (normal < 11.4 mg/L). This report raises significant important issues in establishing anaphylactic death and tryptase levels at autopsy.
We propose a design of an adaptive digital audio effect for artificial reverberation, controlled directly by desired reverberation characteristics, that allows it to learn from the user in a supervised way. The user provides monophonic examples of desired reverberation characteristics for individual tracks taken from the Open Multitrack Testbed. We use this data to train a set of models to automatically apply reverberation to similar tracks. We evaluate those models using classifier f1-scores, mean squared errors, and multi-stimulus listening tests.
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