MOLECULAR DETECTION OF PATHOGENIC SEROVAR SALMONELLA ENTERITIDIS BY LAMP METHOD USING A SPECIFIC MARKER SCREENED BY COMPARATIVE GENOMIC METHODS

Molecular detection of pathogenic serovar Salmonella enteritidis by LAMP method using a specific marker screened by comparative genomic methods

Background and Aim: Salmonella enteritidis is one of the most common causes of gastroenteritis, and in acute cases may lead to septicemia and even death.In this study, genetic markers of serovar were screened by comparative genomic methods, and the most specific marker was targeted to identify this pathetic serover by LAMP method.Materials and Meth

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Uncertain Interval Forecasting for Combined Electricity-Heat-Cooling-Gas Loads in the Integrated Energy System Based on Multi-Task Learning and Multi-Kernel Extreme Learning Machine

The accurate prediction of electricity-heat-cooling-gas loads on the demand side in the integrated energy system (IES) can provide significant reference for multiple energy planning and stable operation of the IES.This paper combines the multi-task learning (MTL) method, the Bootstrap method, the improved Salp Swarm Algorithm (ISSA) and the multi-k

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