WIDE RANGE SCREENING OF ALGORITHMIC BIAS IN WORD EMBEDDING MODELS USING LARGE SENTIMENT LEXICONS REVEALS UNDERREPORTED BIAS TYPES.

Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types.

Concerns about gender bias in word embedding models have captured substantial attention in the algorithmic bias research literature.Other bias types however have received lesser amounts of scrutiny.This work describes a large-scale analysis of sentiment associations in popular word embedding models along the lines of gender and ethnicity but also a

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Experience with the use of combination antithrombotic therapy in a patient with acute coronary syndrome and underlying severe coronavirus infection

The paper presents the experience of treating a patient with acute coronary syndrome without ST segment elevation and underlying severe novel coronavirus infection (COVID-19) complicated by polysegmental viral pneumonia and significant respiratory events.Emphasis has been placed on the use of Stove Burner Distributer antithrombotic therapy after en

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