Zobrazeno 1 - 10
of 251
pro vyhledávání: '"George Pavlidis"'
Autor:
Emmanouil Vrentzos, Ignatios Ikonomidis, George Pavlidis, Konstantinos Katogiannis, Emmanouil Korakas, Aikaterini Kountouri, Loukia Pliouta, Eleni Michalopoulou, Emilia Pelekanou, Dimitrios Boumpas, Vaia Lambadiari
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-11 (2024)
Abstract Backround Metabolic-dysfunction Associated Steatotic Liver Disease (MASLD) has been associated with increased cardiovascular risk. The aim of this Randomized Double-blind clinical Trial was to evaluate the effects of coenzyme-Q10 supplementa
Externí odkaz:
https://doaj.org/article/34739bbaa44a4330b551f698511ab3f5
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionThis study investigates the individual and combined impacts of loneliness and social isolation on 20-year mortality risks among older men and women.MethodsUtilizing data from the Norwegian Life Course, Ageing, and Generation study (NorLAG
Externí odkaz:
https://doaj.org/article/dc7d662755b64245ba9dd68ec13f68b1
Publikováno v:
IEEE Access, Vol 12, Pp 90287-90298 (2024)
In this study, a novel approach for solving the PU learning problem is proposed based on an anomaly detection strategy. A Convolutional Autoencoder (CAE) is used to extract latent encodings from positive-labeled data, which are then linearly combined
Externí odkaz:
https://doaj.org/article/edfb823878e542858f6f7adafb7314e0
Autor:
Ignatios Ikonomidis, Eleni Katsanaki, John Thymis, George Pavlidis, Kyriaki Lampadaki, Konstantinos Katogiannis, Aristeidis Vaiopoulos, Vicky Lazarou, Gavriella Kostelli, Eleni Michalopoulou, Sotirios Pililis, Dimitrios Vlachomitros, Konstantinos Theodoropoulos, Hans Vink, Robert Long, Evangelia Papadavid, Vaia Lambadiari
Publikováno v:
Nutrients, Vol 16, Iss 15, p 2572 (2024)
Psoriasis predisposes to cardiovascular dysfunction. We investigated whether glycocalyx dietary supplement (GDS), which contains glycosaminoglycans and fucoidan, improves endothelial glycocalyx and arterial stiffness in psoriatic patients. Fifty part
Externí odkaz:
https://doaj.org/article/5f19ade2e25449bd8a3f7345b2297801
Autor:
Konstantinos Katogiannis, John Thymis, Foteini Kousathana, George Pavlidis, Emmanouil Korakas, Aikaterini Kountouri, Konstantinos Balampanis, Vasiliki Prentza, Gavriella Kostelli, Helen Michalopoulou, Damianos Tsilivarakis, Vaia Lambadiari, Ignatios Ikonomidis
Publikováno v:
Medicina, Vol 60, Iss 3, p 395 (2024)
Background and Objectives: Glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) are cardioprotective drugs. We investigated their effects on left atrial function, a major determinant of cardiac d
Externí odkaz:
https://doaj.org/article/cb7f66ff4c944624851250bc34bcf33b
Autor:
Vaia Lambadiari, Pelagia Katsimbri, Aikaterini Kountouri, Emmanouil Korakas, Argyro Papathanasi, Eirini Maratou, George Pavlidis, Loukia Pliouta, Ignatios Ikonomidis, Sofia Malisova, Dionysios Vlachos, Evangelia Papadavid
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 5, p 2475 (2024)
The effect of different diet patterns on psoriasis (PSO) and psoriatic arthritis (PSA) is unknown. Τhe aim of our study was to evaluate the effectiveness of a Mediterranean diet (MD) and Ketogenic diet (KD), in patients with PSO and PSA. Twenty-six
Externí odkaz:
https://doaj.org/article/f40d3bc26c3f40628d1eb1d9ed98b03a
Publikováno v:
Computers, Vol 13, Iss 2, p 49 (2024)
Identifying accidents in road black spots is crucial for improving road safety. Traditional methodologies, although insightful, often struggle with the complexities of imbalanced datasets, while machine learning (ML) techniques have shown promise, ou
Externí odkaz:
https://doaj.org/article/307ff1d119264f7d9f5a81392b0e9c64
Publikováno v:
Information, Vol 14, Iss 10, p 538 (2023)
Immersive technologies are revolutionary technological advancements that offer users unparalleled experiences of immersion in a virtual or mixed world of virtual and real elements. In such technology, user privacy, security, and anonymity are paramou
Externí odkaz:
https://doaj.org/article/074e2966858b45a7a1eb952cfb500c24
Publikováno v:
IEEE Access, Vol 10, Pp 126832-126844 (2022)
The early 21st-century technological advancements tilted the scales towards data-driven learning. Thus, modern machine-learning systems rely heavily on data to learn complex models to efficiently provide relevant predictions. Data-driven learning suf
Externí odkaz:
https://doaj.org/article/bbf428979f014a92ad77d3c88d8a0091
Autor:
Ioannis Karamanlis, Alexandros Kokkalis, Vassilios Profillidis, George Botzoris, Chairi Kiourt, Vasileios Sevetlidis, George Pavlidis
Publikováno v:
Data, Vol 8, Iss 6, p 110 (2023)
Black spot identification, a spatiotemporal phenomenon, involves analysing the geographical location and time-based occurrence of road accidents. Typically, this analysis examines specific locations on road networks during set time periods to pinpoin
Externí odkaz:
https://doaj.org/article/7145b8096f4544bf87f07a63fc13fda5