MICROARRAY EVALUATION OF ANTIMICROBIAL RESISTANCE AND VIRULENCE OF ESCHERICHIA COLI ISOLATES FROM PORTUGUESE POULTRY

Microarray Evaluation of Antimicrobial Resistance and Virulence of Escherichia coli Isolates from Portuguese Poultry

The presence of antimicrobial resistance and virulence factors of 174 Escherichia coli strains isolated from healthy Portuguese Gallus wac 4011 gallus was evaluated.Resistance profiles were determined against 33 antimicrobials by microbroth dilution.Resistance was prevalent for tetracycline (70%) and ampicillin (63%).Extended-spectrum beta-lactamas

read more

Iterable Forward Reachability Analysis of Monitor-DPNs

There is a close connection between data-flow analysis and model checking as observed and studied in the nineties by Steffen and Schmidt.This indicates that automata-based analysis techniques developed in the realm of infinite-state model checking can be applied as data-flow analyzers that interpret complex control click here structures, which moti

read more

LANGUAGE SKILLS, SUB-SKILLS AND VOCABULARIES NEEDED BY AUTOMOTIVE DEPARTMENT STUDENTS OF TECHNICAL HIGH SCHOOL: A NEED ANALYSIS STUDY

This study aimed to analyze specific English language skills iphone 13 pro max price winnipeg and kind of technical vocabulary that are needed by the third year automotive students of SMKN 2 Kota Bengkulu.The sample for interview comprised of 12 alumni, they were teachers and various company officers who have a MOU with SMKN 2 Kota Bengkulu.In the

read more

mRNA Extraction from Gill Tissue for RNA-sequencing

Adaptation is thought to proceed in part through spatial and temporal changes in gene expression.Fish species such as the threespine stickleback are powerful vertebrate models to study the genetic architecture of adaptive changes in gene expression since divergent adaptation to different environments is common, click here they are abundant and easy

read more

Time Series from Sentinel-2 for Organic Durum Wheat Yield Prediction Using Functional Data Analysis and Deep Learning

Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain.This research aims to develop a yield forecasting system by combining vegetation index veuve ambal rose time-series data from Sentinel-2 L2A time-se

read more