A SYNTHETIC SIGNAL VARIED WEIGHT INDICATOR IN BACTERIA

A Synthetic Signal Varied Weight Indicator in Bacteria

Biomolecular computing devices always work in a complex biochemical environment.The weight which shows the importance degree of a specific signal may vary in different environments because it may be influenced by other signals even in the absence of direct interaction.To measure a signal accurately, several biomolecular computing devices always nee

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Proficient randomized response model based on blank card strategy to estimate the sensitive parameter under negative binomial distribution

This paper has great potential for estimating population proportion amina muaddi scarpe trasparenti who possess stigmatized character by using Negative binomial distribution as a randomization device.The properties of the proposed estimation procedure have been examined.Measure of privacy protection for the proposed randomization device has been al

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Machine learning algorithm for early-stage prediction of severe morbidity in COVID-19 pneumonia patients based on bio-signals

Abstract Background Paralysis of medical systems has emerged as a major problem not only in Korea but also globally because of the COVID-19 pandemic.Therefore, early identification and treatment of COVID-19 are crucial.This study aims to develop a machine-learning algorithm based on bio-signals that predicts the infection three days in advance befo

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