Energy management strategies with prediction message show great potential in optimizing control objectives for fuel cell hybrid vehicles.This paper presents a novelty model-predictive-control based energy management framework for fuel cell commercial vehicle, in which the vehicle mass is firstly introduced as a variable parameter for controller.A v
Introduction The aims of this study were to evaluate 1) glymphatic system function in patients with end-stage kidney disease (ESKD) before initiating dialysis compared to healthy controls, and 2) changes in the glymphatic system function after kidney replacement therapy including dialysis in patients with ESKD using the diffusion tensor image analy
Bibliometric analyses based on citations are most often at Decor the forefront where scientific publications are concerned.A fact often neglected is that the visibility and availability of scientific publications are basic prerequisites for future reading, citation and influence.Journal visibility can be significantly improved by providing open acc
The emergence of artificial intelligence (AI) with synergistic integration is currently a paradigm-shifting strategy for the direction of biomaterials development and design.This paper analyzes the connection between AI and biomaterials, explaining the significant influence of predictive modelling on the path of the area.By carefully investigating
Angela Di Cesare, Donato Traversa Faculty of Veterinary Medicine, University of Teramo, Teramo, Italy Abstract: Angiostrongylus vasorum is a parasitic nematode affecting the heart and pulmonary arteries of wild (eg, foxes) and domestic canids.The parasite has an indirect life cycle in which slugs and snails act as intermediate hosts.In the last few