Lifting path planning is critical for the safety and efficiency of tower cranes operating in dynamic construction environments.This paper proposes a lifting path planner to efficiently generate safe and smooth lifting paths for tower cranes in an unknown construction environment through a deep reinforcement learning (DRL) method.Based on the Twin-D
Abstract Sepsis, one of the most fatal diseases in the world, is known to culminate in multiple organ failure due to an uncontrolled inflammatory response.Hence, the use of animal models in sepsis research is very important to study complex immune responses.The current study was undertaken to compare commercial stocks with KFDA stocks of DBA/2 mice
Research on journey-to-crime distance has revealed the importance of both the characteristics of the offender as well as those of target communities.However, the effect of the home community has so far been ignored.Besides, almost all journey-to-crime studies were done in Western societies, and little is known about how the distinct features of com
Introduction: Duodenal obstruction due to annular pancreas is a rare entity.Among the causes of neonatal obstruction described by Robert Gross, annular pancreas comprises less than 1% of total group (Gross and Chisholm, 1944) [1].Herewith, we present a case of annular pancreas causing duodenal obstruction in a neonate for which we performed laparos
Under the challenge of climate change, fuel-based vehicles have been receiving increasingly harsh criticism.To promote the use of battery electric vehicles (BEVs) as an alternative, many researchers have studied the deployment of BEVs.This paper proposes a new method to choose locations for new BEV charging stations considering drivers’ perce