This study presents ensemble machine learning (ML) models for predicting residential energy consumption in South Africa.By combining the best features of individual ML models, ensemble models reduce the drawbacks of each model and improve prediction accuracy.We present four ensemble models: ensemble by averaging (EA), ensemble by stacking each esti
Abstract Tropical cyclones (TCs) have experienced poleward migration in recent years, but whether this exists in future projections with high-resolution climate models remains unclear.This study investigates the poleward migration of TCs over the western North Pacific (WNP) using CMIP6-HighResMIP models.We first assess the model performance in TC g
In recent years, the role of sympathetic nervous fibers in chronic inflammation has become increasingly evident.At the onset of inflammation, sympathetic activity is increased in the affected tissue.However, sympathetic fibers are largely absent from chronically inflamed tissues.Apparently, there is a very dynamic relationship between sympathetic i
Cardiovascular (CV) and renal diseases are increasingly prevalent in the United States and globally.CV-related mortality is the leading cause of death in the United States, while renal-related mortality is the 8th.Despite advanced therapeutics, both diseases persist, warranting continued exploration of disease mechanisms to develop novel therapeuti
Thermal pollution occurs when heated wastewater is discharged into rivers, lakes, oceans, or other water bodies.This will raise the temperature of the water body above its normal level and, consequently, will harm the aquatic live.Thermal Pollution problems will intensify as electricity usage increases Watch Case + Bands unless substantial changes