首页|Chinese Academy of Sciences Reports Findings in Machine Learning (Seasonal variation of antibiotic resistance genes in activated sludge of a full-scale municipal wastewater treatment plant: Contribution of activated sludge functional taxa and ...)
Chinese Academy of Sciences Reports Findings in Machine Learning (Seasonal variation of antibiotic resistance genes in activated sludge of a full-scale municipal wastewater treatment plant: Contribution of activated sludge functional taxa and ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “It has been demonstra ted that antibiotic resistance genes (ARGs) exhibit seasonal variations in munic ipal wastewater treatment plants (MWTPs), but their relationship to bacterial ph ylogeny structure remains unclear. Using advanced metagenomic techniques and mac hine learning approach, the current study conducted a year-long investigation to explore the relationship between ARGs and the bacterial community of activated sludge in a full-scale MWTP in Beijing, where seasonal dynamics are remarkable.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesGeneticsMachine Learning
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