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Publicações

2026

Information Bottleneck for Attribution Applied to Object Detection

Autores
Coelho, B; Cardoso, JS;

Publicação
IEEE Trans. Artif. Intell.

Abstract

2026

Monetary policy and foreign direct investment: Global evidence, 1970–2023

Autores
Teixeira, AA; Nogueira, MM;

Publicação
Global Economics Research

Abstract

2026

Swimming against a Superfluid Flow: Self-Propulsion via Vortex-Antivortex Shedding in a Quantum Fluid of Light

Autores
Baker-Rasooli, M; Aladjidi, T; Ferreira, TD; Bramati, A; Albert, M; Larré, PÉ; Glorieux, Q;

Publicação
PHYSICAL REVIEW LETTERS

Abstract
A superfluid flows without friction below a critical velocity, exhibiting zero drag force on impurities. Above this threshold, superfluidity breaks down, and the internal energy is redistributed into incoherent excitations such as vortices. We demonstrate that a mobile, finite-mass impurity immersed in a flowing two-dimensional paraxial superfluid of light can swim against the superfluid current when the critical velocity is exceeded. This self-propulsion is achieved by the periodic emission of vortex-antivortex pairs downstream, which impart an upstream recoil momentum that results in a net propulsive force. Analogous to biological systems that minimize effort by exploiting wake turbulence, the impurity harnesses this vortex backreaction as a passive mechanism of locomotion. Based on a simple theoretical model, we quantitatively describe how this mechanism depends on the impurity geometry and the surrounding flow velocity. Our findings establish a fundamental link between internal-energy dissipation in quantum fluids and concepts of self-propulsion in active-matter systems and open new possibilities for exploiting quantum vortices for controlled transport at the microscale.

2026

Optimal Membership for Anchor-Centric Renewable Energy Communities

Autores
João Sousa; Rui Rodrigues; Alexandre Lucas; José Villar; Alexandre Chaves;

Publicação
2026 22nd International Conference on the European Energy Market (EEM)

Abstract

2026

Digital Technologies for the Transition to Collaborative Circular Economy Through R-Strategies - Insights from European Ventures

Autores
Fornasiero, R; Dalmarco, G; Zimmermann, R;

Publicação
HYBRID HUMAN-AI COLLABORATIVE NETWORKS, PRO-VE 2025, PT II

Abstract
Circular Economy is based on implementation of R-strategies to narrow or close the loop of material flows and to minimize raw material consumption by extending the life cycle of materials. Since this approach is expanding from individual organizational actions to a collaborative approach, the objective of this paper is to analyse the role of digital technologies such as AI and cloud platforms in facilitating and changing the collaboration between stakeholders to improve sustainability. This study adopts a qualitative multi case study methodology, using surveys, interviews and document analysis from 10 new ventures in the agri-food ecosystem supported by the cascade funding programme. The results show that collaboration among actors is changed by the different technologies and strategic drivers of circular economy in the considered ecosystem.

2026

Combining Large Language Models with Procedural Grammars for Scenario Generation in Driving Simulations

Autores
Rodrigues, NB; Coelho, A; Rossetti, RJF;

Publicação
GRIVAPP

Abstract

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