Arcobacter species isolated from human stool samples, animal products, ready-to-eat salad mixes, and ambient water: prevalence, antimicrobial susceptibility, and virulence gene profiles.

Introduction: Arcobacter species are emerging foodborne pathogens increasingly associated with human illness worldwide. They are commonly found in the gastrointestinal tracts of animals and are frequently isolated from various food sources, including raw meat, poultry, and seafood. The aim of this study is to investigate the antimicrobial resistance patterns of Arcobacter spp.

Presence of Enteric Viruses in Shellfish Samples from the Persian Gulf.

Shellfishes are a significant economic and nutritious seafood amongst people in different countries. Seafood products, particularly shellfish, are potential reservoirs of enteric viruses. This research investigated the incidence of rotavirus (RoV), norovirus (NoV) GI and GII, hepatitis A virus (HAV), and hepatitis E virus (HEV) in shellfish samples from the Persian Gulf, Iran.

Isolation, characterization, and antimicrobial resistance profiles of and from raw meat of large livestock in Shahrekord, Iran.

spp. genera is one of the most common causes of microbial enteritis worldwide. This study aimed to find out how common Campylobacter organisms were in raw meat from large livestock in Iran, as well as to determine their antibiotic susceptibility profiles.

Anti- Effects of Jalas Essential Oils: A New Antimicrobial Approach.

Background: are the principal causative factor in the etiological factors of chronic, active, or type B gastritis; peptic and duodenal ulcers; stomach carcinoma; and epithelial tissue lymphoid malignancies. It infects more than half of the population worldwide. To reduce production, pharmacological therapy of diseases typically involves using threefold treatment methods.

Publish/Subscribe Method for Real-Time Data Processing in Massive IoT Leveraging Blockchain for Secured Storage.

In the Internet of Things (IoT) era, the surge in Machine-Type Devices (MTDs) has introduced Massive IoT (MIoT), opening new horizons in the world of connected devices. However, such proliferation presents challenges, especially in storing and analyzing massive, heterogeneous data streams in real time. In order to manage Massive IoT data streams, we utilize analytical database software such as Apache Druid version 28.