Dongfang Lu, Jing Yang, Wei Shen, Min Chen
Attitudes toward uncertain results from prenatal exome sequencing: a national survey among healthcare professionals working in the prenatal setting
Frontiers in medicine
continuous release migration heavy metals coalbased solid waste csw dumpsites often results significant encroachment ecological lands pollution natural environments result urgent need longterm rapid monitoring analysis assessment control environmental risks associated large csw dumpsites constructed new composite model plsfl uses partial least squares regression plsr fuzzy logic inference fli accurately predict heavy metal concentrations soils assess pollution risk levels potential application plsfl tested gully type csw case study compared 20 modeling strategies using plsfl five types heavy metals cd zn pb cr four spectral transformation methods first derivative fd second derivative sd reverse logarithm rl continuum removal cr one variable selection method competitive adaptive reweighted sampling cars results showed combination derivative transformation cars recommended estimation r2c 080 r2p 050 comparing plsr model four traditional machine learning methods support vector machines svm random forests rf extreme learning machines elm knn plsr model demonstrated highest average prediction accuracy additionally fli process longer relies human perception expert opinion enhancing models objectivity reliability evaluation results revealed heavy metal contamination areas csw dumpsite concentrated bottom gully severe contamination north furthermore highrisk zone exists interim storage area csw east dump findings align initial detections sampling sites highlight need targeted monitoring control areas application model empower regulators quickly assess overall situation largescale heavy metal pollution provide scientific program data support continuous largescale pollution risk monitoring sustainable risk management