Classification tree method for bacterial source tracking with antibiotic resistance analysis data.

Evaluation of Bacterial Species to Determine Antimicrobial Resistance in Patients with Chronic Rhinosinusitis after Surgery of Paranasal Sinuses Referring to Amiralmomenin Hospital in Rasht, 2018

Background and Aim: Bacterial resistance to antibiotics has made treatment difficult. The purpose of this study was to investigate bacterial species in patients with chronic rhinosinusitis after surgery of paranasal sinuses to determine antimicrobial resistance patterns of them. Materials and Methods: The data of 70 patients after paranasal sinuses surgery in Amiralmomenin hospital in Rasht ci...

Upper Hillsborough River Bacterial Contamination Assessment Bacterial Source Tracking: Antibiotic Resistance Analysis of Fecal Coliform Bacteria

Study on the Antibacterial Effect from Moonmilk Pindul Cave, Indonesia

Background and Objective: Antibiotic resistance is the ability of microbes to survive antibiotic exposure with standard doses. Regular updating of antibiotics is one solution to overcome antibiotic resistance. One source with potential new antibiotics is moonmilk from caves because it contains various bacteria proven to have antibacterial activity. The objective of the present study is to explo...

Investigation of prevalence and antibiotic resistance pattern of bacteria isolated from urinary tract infections in women referred to Ghaem hospital in Mashhad

Background: Urinary tract infection (UTI) is one of the most commonly problematic bacterial infections, especially among women. Increasing drug resistance requires the determination of an antibiotic resistance pattern for proper treatment. Therefore, this study aimed to investigate the prevalence and antibiotic resistance against bacterial agents isolated from urinary tract infections in women ...

Identification of the sources of Escherichia coli in a watershed using carbon-utilization patterns and composite data sets.

The field of bacterial source tracking (BST) has been rapidly evolving to meet the demands of water pollution analysis, specifically the contamination of waterways and drinking water reservoirs by point source and nonpoint source pollution. The goal of the current study was to create a BST library based on carbon-utilization patterns (CUP) for predicting sources of E. coli in a watershed, to co...