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Pôr a Revolução no Lugar – as políticas de memória da democracia através dos Mo...

Gonçalves, Gil; Pereira, Henrique; Ribeiro, Ana Sofia

Este artigo propõe uma reflexão acerca das políticas de memória do Portugal democrático através do mapeamento e análise dos “monumentos ao 25 de Abril”. As transformações dos primeiros anos da democracia ressoaram na arte pública, que passou a cel-ebrar figuras, episódios e valores que, durante anos, só puderam ser evocados em privado. Cingindo-nos às evocações escultóricas da Revolução, pretendemos identificar...


Nanomaterials Science & Engineering (NMS&E), Vol.7, No.1, 2025

Bdikin, Igor; Marques, Paula; Fagg, Duncan Paul; Gonçalves, Gil


Populism in the “mild-mannered” country – a history of Portuguese twentieth-cen...

Gonçalves, Gil

This paper analyses Portuguese twentieth-century populist moments from a historical perspective. At the start of the current “populist wave”, pundits and academics justified the lack of support for populism in Portugal by falling back on the conservative metaphor of the “mild-mannered country” – claiming that the Portuguese were not prone to political radicalism. An examination of the country’s contemporary his...

Date: 2024   |   Origin: Análise Social

Putting the Revolution in Place – The Democracy’s Politics of Memory through th...

Gonçalves, Gil; Pereira, Henrique; Ribeiro, Ana Sofia

This article proposes a reflection on the memory policies of democratic Portugal by mapping and analysing the ‘monuments to the 25th of April’. The transformations of the first years of democracy resonated in public art, which began to celebrate figures, episodes and values that, for years, could only be evoked in private. Focussing on the sculptural evocations of the Revolution, we aim to identify the moments ...

Date: 2024   |   Origin: Práticas da História

Dynamic AMR Navigation: Simulation with Trajectory Prediction of Moving Obstacles

Cadete, Tomás; Pinto, Vítor H.; Lima, José; Gonçalves, Gil; Costa, Paulo Gomes da

Autonomous Mobile Robots (AMRs) have significantly transformed task management in factories, warehouses, and urban environments. These robots enhance operational efficiency, reduce labor costs, and automate various tasks. However, navigating dynamic environments with moving obstacles, such as human workers, vehicles, and machinery, remains challenging. Traditional navigation systems, which rely on static maps a...

Date: 2024   |   Origin: Biblioteca Digital do IPB

Data Analytics and AI for Quality Assurance in Manufacturing: Challenges and Op...

Catti, Paolo; Freitas, Artur; Pereira, Eliseu; Gonçalves, Gil; Lopes, Rui Pedro; Nikolakis, Nikolaos; Alexopoulos, Kosmas

Data analytics and Artificial Intelligence (AI) have emerged as essen- tial tools in manufacturing over recent years, providing better insight into pro- duction systems. Their importance can be highlighted by the way it can transform quality control, from prescriptive to proactive. Data analytics combined with AI can identify abnormal trends and patterns in huge amounts of data, that could uncover potential def...

Date: 2024   |   Origin: Biblioteca Digital do IPB

Operation Volume in Pancreatic Cancer Surgery: How Long Will We Keep Looking th...

Bouça Machado, Tiago; Gigante Cristino, Humberto; Mieog, Jan Sven David; Mortensen, Michael Bau; Gonçalves, Gil

N/a.; N/a.

Date: 2024   |   Origin: Acta Médica Portuguesa

Nanomaterials Science & Engineering, Volume 5, Number 1, October 2023

Bdikin, Igor; Marques, Paula; Fagg, Duncan Paul; Gonçalves, Gil


Nanomaterials Science & Engineering, Volume 6, Number 1, May 2024

Bdikin, Igor; Marques, Paula; Fagg, Duncan Paul; Gonçalves, Gil


Next-generation chemotherapy treatments based on black hole algorithms: from ca...

Santos, Marco P. Soares dos; Bernardo, Rodrigo M. C.; Vidal, João V.; Moreira, Ana; Torres, Delfim F. M.; Herdeiro, Carlos A. R.; Santos, Hélder A.

Problem: Therapeutic planning strategies have been developed to enhance the effectiveness of cancer drugs. Nevertheless, their performance is highly limited by the inefficient biological representativeness of predictive tumor growth models, which hinders their translation to clinical practice. Objective: This study proposes a disruptive approach to oncology based on nature-inspired control using realistic Black...


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