首页|Hangzhou Dianzi University Reports Findings in Machine Learning (Behavioral toxi cological tracking analysis of Drosophila larvae exposed to polystyrene micropla stics based on machine learning)
Hangzhou Dianzi University Reports Findings in Machine Learning (Behavioral toxi cological tracking analysis of Drosophila larvae exposed to polystyrene micropla stics based on machine learning)
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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 th e subject of a report. According to news originating from Hangzhou, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Microplastics, as a pivotal concern within plastic pollution, have sparked widespread apprehension d ue to their ubiquitous presence. Recent research indicates that these minuscule plastic particles may exert discernible effects on the locomotor capabilities an d behavior of insect larvae.” Our news journalists obtained a quote from the research from Hangzhou Dianzi Uni versity, “This study focuses on the impact of polystyrene microplastics (PS-MPs) on the behavior of Drosophila melanogaster larvae, utilizing fruit flies as a model organism. Kinematic analysis methods w ere employed to assess and extrapolate the toxic effects of PS-MPs on the larvae . Drosophila larvae were exposed to varying concentrations (Control, 0.1 g/L, 1 g/L, 10 g/L, 20 g/L) of 5 mm PS-MPs during their developmental stages. The study involved calculating and evaluating parameters such as the proportion of larvae reaching the edge, distance covered, velocity, and angular velocity within a 5- min timeframe. Across different concentrations, Drosophila larvae exhibit differ ential degrees of impaired motor function and disrupted locomotor orientation. T he proportion of larvae reaching the edge decreased, velocity significantly decl ined, and angular velocity exhibited a notable increase. These findings strongly suggest that when exposed to a PS-MPs environment, Drosophila larvae exhibit sl ower movement, increased angular rotation per unit time, leading to a reduction in the proportion of larvae reaching the edge.”
Hangzhou, People’s Republic of China, As ia, Benzene Derivatives, Benzylidene Compounds, Cyborgs, Emerging Technologies, Machine Learning, Polystyrenes, Styrenes
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