Abstract
New research on Machine Learning is th e subject of a report. According to news reporting out of Nanjing, People's Repu blic of China, by NewsRx editors, research stated, "Little information is availa ble on the influence of substantial precipitation and particulate matter enterin g during the monsoon process on the release of potentially toxic elements (PTEs) into lake sediments. Sediments from a typical subtropical lake across three per iods, pre-monsoon, monsoon, and post-monsoon, were collected to determine the ch emical forms of 12 PTEs (As, Cd, Co, Cr, Cu, Fe, Hg, Pb, Mn, Ni, Sb, and Zn), ma gnetic properties, and physicochemical indicators." Our news journalists obtained a quote from the research from Nanjing University, "Feature importance, Shapley additive explanations, and partial dependence plot s were used to explore the factors influencing bioavailable PTEs. The proportion of bioavailable forms of PTEs decreased from 3.85 % (Cd) to 87.84 % (Hg) after the monsoon. Gradient extreme boosting demonstrated robust fitting accuracy for the prediction of the bioavailable forms of the 12 P TEs (R > 0.84). Shapley additive explanations identified that the bioavailable forms were influenced by the total PTE concentrations, wi nd, shortwave radiation, and particle inputs (25.1 %-88.5 % for total importance), either individually or in combination. The partial depend ence plots highlighted the influence thresholds of background values and anthrop ogenic factors on the bioavailable forms of PTEs. Changes in environmental prope rties could indicate the process of external sediment influx into lakes."
NETL
NSTL