BIG DATA-DRIVEN ABNORMAL BEHAVIOR DETECTION IN HEALTHCARE BASED ON ASSOCIATION RULES


Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models

Recent progress in machine learning has shown how to forecast and, to some extent, learn the dynamics of a model from its output, resorting in particular to neural networks and deep learning techniques.We will show how the same goal can be directly achieved using data assimilation techniques without leveraging on machine learning software libraries

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Marinobacter subterrani, a genetically tractable neutrophilic Fe(II)-oxidizing strain isolated from the Soudan Iron Mine

We report the isolation, characterization, and development of a robust genetic system for a halophilic, Fe(II)-oxidizing bacterium isolated from a vertical borehole originating 714 m below the surface located in the Soudan Iron Panasonic NN-CS89LB 4-in-1 Combination Steam Oven with Microwave Mine in northern Minnesota, USA.Sequence analysis of the

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