243 documents found, page 1 of 25

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For a deeper encounter with cultural heritage: analysis of “Leonardo: Experienc...

Kosztyła, Aleksandra; Cardoso, Pedro; Alvelos, Heitor

Within the broader research focused on conveying the meaning and beauty of cultural heritage, immersive art exhibitions stand as the tangible embodiment of experience design principles, but require academic research to elevate them beyond perceived superficiality to provide deeper, meaningful encounters. This article presents a case study of the “Leonardo: Experience a Masterpiece” exhibition at the National Ga...


Practical Guidance on the Detection of NTRK Fusions in Sarcomas: Current Status...

Fernandes, Isabel; Macedo, Daniela; Gouveia, Emanuel; Ferreira, Ana; Lima, Jorge; Lopez, Dolores; Melo-Alvim, Cecília; Carvalho, Alice; Tavares, Paulo

Sarcomas are a rare and heterogeneous group of mesenchymal malignant tumors and account for approximately 1% of all adult cancers and around 20% of all pediatric solid tumors in Europe. Technology advances have enabled a more accurate and efficient characterization of the molecular mechanisms underlying the pathogenesis of sarcoma subtypes and revealed novel and unexpected therapeutic targets with prognostic/pr...

Date: 2025   |   Origin: Acta Médica Portuguesa

The magnitude of legal wildlife trade and implications for species survival

Michael Marshall, Benjamin; Alamshah, Aubrey L.; Cardoso, Pedro; Cassey, Phillip; Chekunov, Sebastian; Eskew, Evan A.; Fukushima, Caroline S.

The unsustainable use of wildlife is a primary driver of global biodiversity loss. No comprehensive global dataset exists on what species are in trade, their geographic origins, and trade’s ultimate impacts, which limits our ability to sustainably manage trade. The United States is one of the world’s largest importers of wildlife, with trade data compiled in the US Law Enforcement Management Information System ...


Human-centered AI in placemaking: a review of technologies, practices, and impacts

Cardoso, Pedro; Rodrigues, Joao

Artificial intelligence (AI) for placemaking holds the potential to revolutionize how we conceptualize, design, and manage urban spaces to create more vibrant, resilient, and people-centered cities. In this context, integrating Human-Centered AI (HCAI) into public infrastructure presents an exciting opportunity to reimagine the role of urban amenities and furniture in shaping inclusive, responsive, and technolo...


Affective computing databases: in-depth analysis of systematic reviews and surveys

Migueis Vaz Martins, Pedro Jorge; Rodrigues, Joao; Cardoso, Pedro

The field of affective computing (AffC) is a hot research topic, where keeping track of the latest state-of-the-art can be cumbersome. Probably, due to this, a huge increase in publications of systematic reviews or surveys (SRoS) is appearing in different journals, covering various aspects such as databases, methods, and overall perspectives. Nevertheless, this increase does not mean more and better information...


Editorial for the special issue applied and innovative computational intelligen...

Cardoso, Pedro; Rodrigues, Joao; Portalés, Cristina

We are pleased to present the third edition of the Special Issue “Applied and Innovative Computational Intelligence Systems” in Applied Sciences, a journal with an Impact Factor of 2.7 and a CiteScore of 4.5 (2022). This Special Issue offers a unique opportunity for computational intelligence (CI) researchers and practitioners to share their latest theoretical and experimental outcomes with the international co...


Multioccupancy activity recognition based on deep learning models fusing UWB lo...

Anguita-Molina, Miguel Ángel; Cardoso, Pedro; Rodrigues, Joao; Medina-Quero, Javier; Polo-Rodríguez, Aurora

Human activity recognition (HAR) focuses on developing systems and techniques to recognize and categorize human actions automatically based on sensor data. This study combines ultrawideband (UWB) technology and binary sensors to describe and recognize daily activities in real-world environments with multiple occupants, ensuring accurate user localization through noninvasive and privacy-respecting methods. A nov...


Air pollution forecasting using autoencoders: A classification-based prediction...

Rodríguez-García, María Inmaculada; Carrasco-García, María Gema; Cubillas Fernández, Paloma Rocío; Ribeiro, Conceição; Cardoso, Pedro

This study aims to evaluate and compare the performance of Autoencoders (AEs) and Sparse Autoencoders (SAEs) in forecasting the next-hour concentration levels of various air pollutants—specifically NO2(t + 1), PM10(t + 1), and SO2(t + 1)—in the Bay of Algeciras, a highly complex region located in southern Spain. Hourly data related to air quality, meteorological conditions, and maritime traffic were collected f...


Perspectives and pitfalls in preserving subterranean biodiversity through prote...

Mammola, Stefano; Altermatt, Florian; Alther, Roman; Rosário, Isabel Amorim Do; Bancila, Raluca; Borges, Paulo A. V.; Brad, Traian; Brankovits, David

Subterranean ecosystems (comprising terrestrial, semi-aquatic, and aquatic components) are increasingly threatened by human activities; however, the current network of surface-protected areas is inadequate to safeguard subterranean biodiversity. Establishing protected areas for subterranean ecosystems is challenging. First, there are technical obstacles in mapping three-dimensional ecosystems with uncertain bou...


The BALA project: A pioneering monitoring of Azorean forest invertebrates over ...

Pozsgai, Gabor; Lhoumeau, Sébastien; Rosário, Isabel Amorim Do; Boieiro, Mário; Cardoso, Pedro; Costa, Ricardo; Ferreira, Maria Teresa; Leite, Abrão

Globally, there is a concerning decline in many insect populations, and this trend likely extends to all arthropods, potentially impacting unique island biota. Native non-endemic and endemic species on islands are under threat due to habitat destruction, with the introduction of exotic, and potentially invasive, species, further contributing to this decline. While long-term studies of plants and vertebrate faun...


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