Taking Advantage of Promiscuity of Cold-Active Enzymes

Cold-active enzymes increase their catalytic efficiency at low-temperature, introducing structural flexibility at or near the active sites.Inevitably, this feat seems to be accompanied by lower thermal stability.These characteristics have made cold-active enzymes into attractive targets for the industrial applications, since they could reduce the e

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COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images

The term COVID-19 is an abbreviation of Coronavirus 2019, which is considered a global pandemic that threatens the lives of millions of people.Early detection of the disease offers ample opportunity of recovery and prevention of spreading.This paper proposes a method for classification and early detection of COVID-19 through image processing using

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