... multiple linear regression models calibrated with NCEP-NCAR reanalysis data and validated using historical station observations and calibrated with CanESM2 (CMIP5) GCM outputs under RCP4.5. Downscale projections from 2011 to 2100 were split into three-time intervals: 2020s, 2050s and 2080s. Findings...

... relationship analysis was performed on a series of 92 substituted benzenes derivatives using multiple linear regression (MLR), artificial neural network (ANN) and support vector machines (SVM) methods, which correlate aquatic toxicity (LC50) values of these chemicals to their structural descriptors. At first...