摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者从中国人民共和国北京发回的新闻报道，研究表明：“天然水体中的微塑料(MPs)与包括铝细胞和悬浮沉积物在内的其他天然颗粒不均匀混合。一种简单易行、快速的方法直接测量和区分MPs和环境中其他天然胶体将加快分析流程。”新闻记者引用了北京师范大学的一篇研究文章，“在这里，我们建立了一个MP散射和荧光PR的数据库，无论是单独的还是与天然颗粒混合的，都是用无染色流式细胞术进行的。所得的高维数据用机器李宁方法进行分析，无论是无监督的（如viSNE）还是有监督的（如viSNE）。我们评估了我们在识别和定量各种悬浮离子中具有不同大小、形态和聚合物组成的模型MPs的方法，包括光养微生物、悬浮生物膜、矿物颗粒和沉积物。我们可以通过这两种机器学习模型精确定量微生物光养生物和高有机碳天然沉积物中的MPs(识别准确率超过93%)。虽然无法区分不同的MP大小或聚合物组成。通过将MP加标到淡水样品中测试环境样品中的结果方法，我们进一步强调了该方法作为MP快速筛选工具的适用性。
Abstract
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 reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Microplastics (MPs) in nat ural waters are heterogeneously mixed with other natural particles including alg al cells and suspended sediments. An easy-to-use and rapid method for directly m easuring and distinguishing MPs from other naturally present colloids in the env ironment would expedite analytical workflows.” The news correspondents obtained a quote from the research from Beijing Normal U niversity, “Here, we established a database of MP scattering and fluorescence pr operties, either alone or in mixtures with natural particles, by stain-free flow cytometry. The resulting high-dimensional data were analyzed using machine lear ning approaches, either unsupervised (e.g., viSNE) or supervised (e.g., random f orest algorithms). We assessed our approach in identifying and quantifying model MPs of diverse sizes, morphologies, and polymer compositions in various suspens ions including phototrophic microorganisms, suspended biofilms, mineral particle s, and sediment. We could precisely quantify MPs in microbial phototrophs and na tural sediments with high organic carbon by both machine learning models (identi fication accuracies over 93 %), although it was not possible to dist inguish between different MP sizes or polymer compositions. By testing the resul ting method in environmental samples through spiking MPs into freshwater samples , we further highlight the applicability of the method to be used as a rapid scr eening tool for MPs.”
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