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Exploring immersive multimodal virtual reality training, affective states, and ...

Oliveira, Joana; Dias, Joana Aires; Correia, Rita; Pinheiro, Raquel; Reis, Vitor; Sousa, Daniela; Agostinho, Daniel; Simões, Marco

Background: Firefighters face stressful life-threatening events requiring fast decision-making. To better prepare for those situations, training is paramount, but errors in real-life training can be harmful. Virtual reality (VR) simulations provide the desired realism while enabling practice in a secure and controlled environment. Firefighters’ affective states are also crucial as they are a higher-risk group. ...


Nutritional evaluation of flour obtained from Tacca leontopetaloides used as an...

Uachisso, Arminda; Silva, Marta Nunes da; Agostinho, Daniel; Pinho, Olívia; Vasconcelos, Marta W.; Carvalho, Susana M. P.

Tubers from wild Tacca leontopetaloides plants are frequently used as a food commodity, but when consumed raw it has a bitter taste and can be toxic, thus threatening food security. This study aimed to evaluate the nutritional composition of flour from T. leontopetaloides subjected to distinct washing treatments, hoping to improve its suitability as a pivot food commodity in regions affected by poverty and food...


Combined Structural MR and Diffusion Tensor Imaging Classify the Presence of Al...

Agostinho, Daniel; Caramelo, Francisco; Moreira, Ana Paula; Santana, Isabel; Abrunhosa, Antero; Castelo Branco, Miguel

Background: In recent years, classification frameworks using imaging data have shown that multimodal classification methods perform favorably over the use of a single imaging modality for the diagnosis of Alzheimer's Disease. The currently used clinical approach often emphasizes the use of qualitative MRI and/or PET data for clinical diagnosis. Based on the hypothesis that classification of isolated imaging mod...


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