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Aim: Tendon injuries remain challenging to treat, and successful outcomes depend on surgical precision and experience. Simulation-based models are widely used to develop these skills. This study aimed to evaluate the eff...

ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency mod...

This paper proposes a reinforcement learning framework for vision-based locomotion control of bipedal robots on complex, unstructured terrains, integrating privileged perception transfer, offline Transformer-based depth ...

This paper addresses the challenge of packet-based information routing in large-scale communication networks. The problem is framed as a constrained statistical learning task, where each network node operates using only ...

The rapid proliferation of unmanned aerial vehicles (UAVs) has created an urgent need for robust detection & identification systems to ensure airspace security and safety. However, the scarcity of large-scale, div...

Abstract Background Graduate Medical Education increasingly emphasizes competency-based education, requiring faculty proficiency in teaching and assessment. However, many faculty report limited formal educational trainin...

Abstract The growing deployment of grid-connected voltage source inverters (GC-VSIs) in the smart grids poses some significant issues that include harmonic distortion, grid impedance fluctuations, nonlinear loading, and ...

ABSTRACT Background and Aims The COVID‐19 pandemic exposed critical gaps in healthcare preparedness globally, including in Aotearoa New Zealand (NZ). This study explored healthcare workers' experiences during the initi...

Robin Lüchinger,1 Katherine Blondon,2,3 Noelle Junod Perron,1,2 Marie-Claude Audétat1,4 1Unit of Development and Research in Medical Education, University of Geneva, Geneva, Switzerland; 2Medical Directorate, Universit...