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The excitation of toroidicity-induced Alfven eigenmodes (TAEs) using prescribed external electromagnetic perturbations (hereafter 'antenna') acting on a confined toroidal plasma, as well as its nonlinear couplings to other modes in the system, is studied. ...
When spreading information over social networks, seeding algorithms selecting users to start the dissemination play a crucial role. The majority of existing seeding algorithms focus solely on maximizing the total number of reached nodes, overlooking the is ...
Precise control of bionic limbs relies on robust decoding of motor commands from nerves or muscles signals and sensory feedback from artificial limbs to the nervous system by interfacing the afferent nerve pathways. Implantable devices for bidirectional co ...
Préoccupées par l’intérêt des jeunes pour la vie publique et la politique, les autorités des régimes démocratiques tentent d’agir sur la citoyenneté des jeunes. En Suisse, où la démocratie directe repose en premier lieu sur l’engagement citoyen au niveau d ...
Could deliberative democracy, and specifically citizens' assemblies be applied to engaging the broad population on public health? The experience of the Academic Citizens’ Assembly on climate and sufficiency is promising. How could this be adapted for impro ...
This paper analyzes and evaluates several policies aiming to mitigate the congestion effect a Transportation Network Company (TNC) brings to bear on an idealized city that contains a dense central core surrounded by a larger periphery. The TNC offers both ...
Dispatching active distribution networks (ADNs) is an energy-intensive application that, if implemented via battery-energy storage systems (BESSs), can require a large capacity of these assets in order to fully balance the uncertainties caused by the stoch ...
The objective of any Citizens’ Assembly is better decision-making on complex and divisive issues. “Better” decision-making means that a fully inclusive group of well-informed people, free of the influence of lobbies and fake news, engaged and knowing their ...
In an ideal world, sufficiency, efficiency, and clean energy would be balanced, with an emphasis on sufficiency in the critical decade ahead of us. Given this importance, how could we get closer to this ideal world, and improve the general acceptance of su ...
We propose an end-to-end Multitask Learning Transformer framework, named MulT, to simultaneously learn multiple high-level vision tasks, including depth estimation, semantic segmentation, reshading, surface normal estimation, 2D keypoint detection, and edg ...