EXPLORING THE GENOMIC AND ANTIMICROBIAL RESISTANCE TAPESTRY: COMPARATIVE INSIGHTS INTO SALMONELLA ENTERICA SEROTYPES AGONA, BRAENDERUP, MUENCHEN, AND PANAMA IN LATIN AMERICAN SURFACE WATERS

Exploring the genomic and antimicrobial resistance tapestry: comparative insights into Salmonella enterica serotypes Agona, Braenderup, Muenchen, and Panama in Latin American surface waters

ABSTRACT Surface waters function as ecological niches where Salmonella enterica can persist and disseminate to fresh produce production systems.We examined the genomic characteristics of S.enterica serotypes Agona (n = 86), Braenderup (n = 47), Muenchen (n = 53), and Panama (n = 69) isolates from surface waters in Chile, Mexico, and Brazil between

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Some Methodological Aspects of the Application of Analytical Procedures in Determining by the Auditor the Application of the Principle of Continuity in the Preparation of Financial Statements by Management of the Transport and Logistics Company

One of the important conditions for the activities of audit firms is the control and optimization of the costs of conducting audit procedures, which allows to minimize unjustified costs.This is especially true EYE LINER of transport and logistics companies with their specifics of business, document flow, and internal control.Therefore, in this matt

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European Population of Pectobacterium punjabense: Genomic Diversity, Tuber Maceration Capacity and a Detection Tool for This Rarely Occurring Potato Pathogen

Enterobacteria belonging to the Pectobacterium and Dickeya genera are responsible for soft rot and blackleg diseases occurring in many crops around the world.Since 2016, the number of described species Sleeper has more than doubled.However, some new species, such as Pectobacterium punjabense, are often poorly characterized, and little is known abou

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Improved YOLOv5s With Coordinate Attention for Small and Dense Object Detection From Optical Remote Sensing Images

The objects in optical high-resolution remote sensing images (HRRSIs) are usually tiny, dense, and exist in complex backgrounds, which brings great challenges to accurate object detection.This article presents an improved YOLOv5s network-based technique for remote sensing object recognition to overcome these difficulties.First, unnecessary residual

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