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The Impact of Electronic and Conventional Cigarette Use towards Saliva Profile and Oral Microbiota in Adolescents.
Asian Pac J Cancer Prev
January 2025
Department of Rural Clinical Science, La Trobe Rural Health School, La Trobe University, Melbourne, Australia.
Objective: To compare the salivary profiles of smokers (e-cigarette smokers, e-cigarette and former conventional cigarette smokers, dual users, and conventional cigarette smokers) and non-smokers in adolescents, focusing on acidity level, flow rate, viscosity, as well as the quantity of Streptococcus mutans, Porphyromonas gingivalis, and Candida albicans.
Methods: This analytical observational study, with a cross-sectional design, involves collecting saliva samples from five groups through the draining method. Saliva viscosity was assessed visually, while saliva flow rate was monitored over a ten-minute period.
Sulfate and Dissolved Organic Carbon Concentrations Drive Distinct Microbial Community Patterns in Prairie Wetland Ponds.
Environ Microbiol Rep
February 2025
Department of Biology, University of Regina, Regina, Saskatchewan, Canada.
Prairie wetland ponds on the Great Plains of North America offer a diverse array of geochemical scenarios that can be informative about their impact on microbial communities. These ecosystems offer invaluable ecological services while experiencing significant stressors, primarily through drainage and climate change. In this first study systematically combining environmental conditions with microbial community composition to identify various niches in prairie wetland ponds, sediments had higher microbial abundance but lower phylogenetic diversity in ponds with lower concentrations of dissolved organic carbon ([DOC]; 10-18 mg/L) and sulfate ([SO ]; 37-58 mg/L) in water.
View Article and Find Full Text PDFForest Soil pH and Dissolved Organic Matter Aromaticity Are Distinct Drivers for Soil Microbial Community and Carbon Metabolism Potential.
Microb Ecol
January 2025
State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
The ecological niche separation of microbial interactions in forest ecosystems is critical to maintaining ecological balance and biodiversity and has yet to be comprehensively explored in microbial ecology. This study investigated the impacts of soil properties on microbial interactions and carbon metabolism potential in forest soils across 67 sites in China. Using redundancy analysis and random forest models, we identified soil pH and dissolved organic matter (DOM) aromaticity as the primary drivers of microbial interactions, representing abiotic conditions and resource niches, respectively.
View Article and Find Full Text PDFEffect of Racomitrium canescens on particulate matter reduction under flow and humidity condition.
Environ Pollut
January 2025
Department of Mechanical Engineering, Hanbat National University, Daejeon, Korea 34518. Electronic address:
This study investigated the effectiveness of Racomitrium canescens in the removal of particulate matter (PM) under controlled flow and humidity conditions. PM pollution is a major environmental and public health concern and exposure to PM is linked to various adverse health effects. Conventional PM removal methods, such as filtration and electrostatic precipitation present challenges, including frequent filter replacement and ozone generation.
View Article and Find Full Text PDFOptimized PCF architectures for THz detection of aquatic pathogens: Enhancing water quality monitoring.
PLoS One
January 2025
Department of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Waterborne bacteria pose a serious hazard to human health, hence a precise detection method is required to identify them. A photonic crystal fiber sensor that takes into account the dangers of aquatic bacteria has been suggested, and its optical characteristics in the THz range have been quantitatively assessed. The PCF sensor was designed and examined as computed in Comsol Multiphysics, a program in which uses the method of "Finite Element Method" (FEM).
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