Background:Previous studies demonstrate an exchange of bacteria between hospital room surfaces, room, and patients, and that light reduces the survival of microorganisms in dust inside buildings. This
The study applies Machine learning algorithms to predict the presence of unexploded ordnances such as TNT in Baltic Sea sediments (Kolberger Heide close to Kiel, Germany) by using microbial community
Currently, there is limited information on commuter exposure to the microbial fraction of airborne particles (i.e. bioaerosols) in different types of transport. To address this, a comparative investig