首页|First Medical Center of Chinese People’s Liberation Army (PLA)s General Hospital Reports Findings in Machine Learning (Prioritizations of the ecotoxicological hazard of PAHs towards aquatic speciess spanning three trophic levels using 2D-QSTR, …)
First Medical Center of Chinese People’s Liberation Army (PLA)s General Hospital Reports Findings in Machine Learning (Prioritizations of the ecotoxicological hazard of PAHs towards aquatic speciess spanning three trophic levels using 2D-QSTR, …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated,“Polycyclic aromatic hydrocarbons (PAHs) represent a common group of environmental pollutants thatendanger various aquatic organisms via various pathways. To better prioritize the ecotoxicological hazardof PAHs to aquatic environment, we used 2D descriptors-based quantitative structure-toxicity relationship(QSTR) to assess the toxicity of PAHs toward six aquatic model organisms spanning three trophic levels.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmergings TechnologiesMachine Learning
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