To avoid crowd evacuation simulations depending on 2D environments and real data, we propose a framework for crowd evacuation modeling and simulation by applying deep reinforcement learning (DRL) and 3D physical environments (3DPEs).In 3DPEs, we construct simulation scenarios from the aspects of geometry, semantics and physics, lovesense 3 which in

Cardiovascular diseases are the leading cause of death worldwide.Due to advancements facilitating the integration of electric and adhesive technologies, long-term patch electrocardiogram (ECG) monitors (PEMs) are currently used to conduct daily continuous cardiac function assessments.This paper presents an ECG encoding sten jacket m scheme for join

Abstract Since 2004 there has been an increased recognition of the importance of Neglected Tropical Diseases (NTDs) as impediments to development.These diseases are caused by a variety of infectious agents - viruses, bacteria and parasites - which cause a diversity of clinical conditions throughout the tropics.The World Health Organisation (WHO) ha

Background: Pharmaceuticals waste is a public safety concern, resulting in a possible accidental poisoning, misuse, and environmental pollution.Thus, appropriate disposal of the damaged and expired medicines would save lives and protect the ecological system.Objective: The study was aimed to assess knowledge, attitudes, and disposal practices of ph