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Diffusion tensor imaging in orthostatic tremor: a tract‐based spatial statistics study
(John Wiley & Sons Ltd., 2019-10-06)
[Abstract]
Objective
The pathogenesis of orthostatic tremor (OT) is unknown. We investigated OT‐related white matter changes and their correlations with scores from a neuropsychological testing battery.
Methods
Diffusion ...
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 ...
SCALA: Sampling Campaigns for Aerosols in the Low Atmosphere
(2017)
[Abstract]: Software to manage sampling campaigns on atmospheric aerosol in a comprehensive way: call and agreements on the campaigns, data upload and intra‐ and inter‐campaign data analysis.
ESCAPE: Environmental Sampling Campaigns for Aerosols and Precursor GasEs
(2020)
[Abstract] Software to manage sampling campaigns on atmospheric aerosol in a comprehensive way: call and agreements on the campaigns, data upload and intra‐ and inter‐campaign data analysis, including those regarding not ...
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 ...