Listar GI-ISLA-Artigos por título
Mostrando ítems 6-17 de 17
-
Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques
(2019)[Abstract]: Introduction: The unanticipated magnetic resonance imaging (MRI) detection in the brain of asymptomatic subjects of white matter lesions suggestive of multiple sclerosis (MS) has been named as radiologically ... -
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 ... -
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 ... -
Environmental Sustainability in Information Technologies Governance
(M D P I AG, 2018-12-15)[Abstract] In the present day, many risk factors affect the continuity of a business. However, this situation produces a conducive atmosphere to approach alternatives that relieve this situation for organizations. Within ... -
Machine Learning Based Moored Ship Movement Prediction
(MDPI, 2021)[Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) ... -
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 ... -
Random Forest-Based Prediction of Stroke Outcome
(Nature Research, 2021)[Abstract] We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques for prediction of mortality and ... -
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 ... -
Study of Temporal Variations of Equivalent Black Carbon in a Coastal City in Northwest Spain Using an Atmospheric Aerosol Data Management Software
(MDPI AG, 2021-01-07)[Abstract] Light-absorbing carbonaceous aerosols (including black carbon (BC)) pose serious health issues and play significant roles in atmospheric radiative properties. Two-year measurements (2015–2016) of aerosol light ... -
Using Artificial Neural Networks for Identifying Patients with Mild Cognitive Impairment Associated with Depression Using Neuropsychological Test Features
(M D P I AG, 2018-09-12)[Abstract] Depression and cognitive impairment are intimately associated, especially in elderly people. However, the association between late-life depression (LLD) and mild cognitive impairment (MCI) is complex and currently ... -
Web Application for Atmospheric Aerosol Data Management: Software and Case Study in the Spanish Network on Environmental Differential Mobility Analysers
(MDPI AG, 2019-05-17)[Abstract] SCALA© (Sampling Campaigns for Aerosols in the Low Atmosphere) is a web-based software system that was developed in a multidisciplinary manner to integrally support the documentation and the management and ... -
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 ...
