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A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks
(2020)
[Abstract]: This paper addresses the measurement of the social dimension of cognitive trust in collaborative networks. Trust indicators are typically measured and combined in literature in order to calculate partners’ ...
Machine Learning-Based Radon Monitoring System
(MDPI, 2022)
[Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ...
Senolytic Activity of Small Molecular Polyphenols from Olive Restores Chondrocyte Redifferentiation and Promotes a Pro-Regenerative Environment in Osteoarthritis
(Impact Journals LLC, 2020-08-03)
[Abstract]
Articular cartilage and synovial tissue from patients with osteoarthritis (OA) show an overactivity of connexin43 (Cx43) and accumulation of senescent cells associated with disrupted tissue regeneration and ...
ASAP (Automatic Software for ASL Processing): A toolbox for processing Arterial Spin Labeling images
(2016)
[Abstract]: The method of Arterial Spin Labeling (ASL) has experienced a significant rise in its application to functional imaging, since it is the only technique capable of measuring blood perfusion in a truly non-invasive ...
White matter microstructural changes are related to cognitive dysfunction in essential tremor
(Nature Research, 2017-06-07)
[Abstract]: Diffusion tensor imaging (DTI) studies have detected white matter microstructural changes in essential tremor (ET). However, it is still unclear whether these changes are related to cognitive deficits, which ...
A review on machine learning approaches and trends in drug discovery
(Research Network of Computational and Structural Biotechnology, 2021)
Abstract: Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science ...
Deep Learning-Based Wave Overtopping Prediction
(MDPI, 2024-03-20)
[Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ...