Abstract Background Maps and mapping tools through geographic information systems (GIS) are highly valuable for turning data into useful information that can help inform decision-making and knowledge translation (KT) activities.However, there are several challenges involved in incorporating GIS applications into the decision-making process.We highl
Background: The genetics domain is witnessing great advances in diagnosing and predicting genetic diseases.In a clinical setting, autosomal recessive genetic disorders are frequently observed as a result of the high rate of consanguinity.The advances in genomic technologies and methods in recent years have facilitated new tools for gene discovery i
Abstract Cerebral malaria is the most serious complication of malaria infection, with 26% of Remotes surviving children having neurological sequelae, which may be caused by neuron damage, but the mechanism is not clear.Ferroptosis has been reported to play an important role in neuron damage in several nervous system diseases.However, the occurrence
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, 4 pin DIN Cable semantics and physics, whic