Introduction: Although post-COVID-19 syndrome (PCS) with cognitive impairment is increasingly encountered in primary care, evidence-based recommendations for its appropriate management are lacking.Methods: A systematic literature search evaluating the diagnosis and treatment of cognitive impairment associated with PCS was conducted.Practical recomm
Skeleton-based Graph Convolutional Networks (GCN) for human action and interaction recognition have received considerable attention of researchers due to its compact and view-invariant nature of skeleton data.However, the static skeleton graph topology in conventional GCNs does not reflect the implicit relationships of non-adjacent joints, which co
This paper proposes an algorithm that provides operational strategies for multiple tethered autonomous underwater vehicle (T-AUV) systems for entanglement-free navigation.T-AUVs can perform underwater tasks under reliable communication and power supply, which is the most substantial benefit of their operation.Thus, if one can overcome the entanglem
Abstract Pure K0.5Na0.5NbO3 (KNN) and KNN doped with Li+ (6% mole), La3+(1.66%, 5%, 6% mole), and Ti4+ (10% mole) were prepared by mixture of oxides using high-energy milling and conventional solid-state reaction.The effects of the dopant Art prints on the physical properties of pure KNN have been evaluated based on the structural, ferroelectric, p
Background: Surgery and anesthesia are essential parts of global healthcare.Surgical intervention has been largely beneficial but remains associated with significant morbidity and mortality.The increasing complexity of surgical interventions has made providers more prone to avoidable errors.The World Health Organization Surgical Safety Checklist (W