This article presents electricity demand forecasting models for industrial and residential facilities, developed using ensemble machine learning strategies.Short term electricity demand forecasting is beneficial for both consumers and suppliers, as it allows improving energy efficiency policies and the rational use of resources.Computational intell
Ca2+ oscillations play an important role in various cell types.Thus, understanding the dynamical mechanisms underlying astrocytic Ca2+ oscillations is of Calendar great importance.The main purpose of this article was to investigate dynamical behaviors and bifurcation mechanisms associated with astrocytic Ca2+ oscillations, including stability of eq
The accelerated process of urbanisation in China is resulting in a decline in and threat to the historic landscape of historic districts.This study is based on the theory of historic urban landscapes and employs a multi-dimensional layers research framework for historic districts.It adopts a single case study and a research method that combines qua
Introduction: Carotid body tumor (CBT) is a neuroendocrine tumor, located at the carotid artery bifurcation.Management of such tumors is challenging due to the silent presentation and difficulties encountered during surgical excision which is the standard treatment method.Aim: This study aimed to report our experience in the diagnosis and managemen
One of the greatest challenges in interpreting the pulsations of rapidly rotating stars is mode identification, i.e.correctly matching theoretical modes to observed pulsation frequencies.Indeed, the latest observations as well as current theoretical results show the complexity of pulsation spectra in such stars, and the lack of easily recognisable