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Artigo Acesso aberto Revisado por pares

Maximos Frountzas, Victoria Michalopoulou, Γεωργία Γεωργίου, Despoina Kanata, Maria Matiatou, Despina Kimpizi, Georgia Matthaiou, Spilios Spiliotopoulos, Dimitrios Vouros, Konstantinos G. Toutouzas, George Theodoropoulos,

Background: Colorectal cancer surgery has been associated with surgical site infections (SSIs), leading to an increase in postoperative morbidity, length of stay and total cost. The aim of the present randomized study was to investigate the relationship between the preoperative administration of oral antibiotic therapy and SSI rate, as well as other postoperative outcomes in patients undergoing colorectal cancer surgery. Material and Methods: Patients who underwent colorectal cancer surgery in a ...

Tópico(s): Enhanced Recovery After Surgery

2024 - Multidisciplinary Digital Publishing Institute | Journal of Clinical Medicine

Revisão Revisado por pares

George Galyfos, Alexandros Chamzin, Nikolaos Intzes, Georgia Matthaiou, Spilios Spiliotopoulos, Demosthenis Sotirakis, Frangeska SIGALA, Konstantinos Filis,

Acute limb ischemia (ALI) is an emergency situation requiring rapid diagnosis and treatment. Although the traditional treating strategy for ALI includes open surgery, novel endovascular techniques have been introduced during the last decade. Additionally, many new cases of ALI have been reported due to infection by the SARS-CoV-2 virus. The aim of this study was to present an updated overview of characteristics, diagnosis, and current treating strategies of patients with ALI.

Tópico(s): Muscle and Compartmental Disorders

2023 - Edizioni Minerva Medica | The Journal of Cardiovascular Surgery

Artigo Acesso aberto Revisado por pares

Ioannis E. Saramantas, Panagiotis Konis, I M Kriatsiotis, Yuval Ofir, Iddo Kressel, P E Spiliotopoulos, F T Fera, John S. Sakellariou, Spilios D. Fassois, Fotios Giannopoulos, Christos Spandonidis, Moshe Tur, Z Tzioridis,

Abstract This study investigates the effectiveness of four robust to uncertainty data-driven methods of machine learning type for random vibration response-only damage detection and characterization in a population of composite aerostructures under various uncertainty factors. The employed methods are based on the Multiple Model (MM) and the Hyper-Sphere (HS) frameworks using Multiple Input Single Output AutoRegressive with eXogenous excitation Transmittance Function (MISO TF-ARX) models that may account ...

Tópico(s): Ultrasonics and Acoustic Wave Propagation

2024 - IOP Publishing | Journal of Physics Conference Series

Artigo Acesso aberto Revisado por pares

P E Spiliotopoulos, F T Fera, Ioannis E. Saramantas, John S. Sakellariou, Spilios D. Fassois, Yuval Ofir, Iddo Kressel, Moshe Tur, Panagiotis Papadopoulos, Fotios Giannopoulos, Christos Spandonidis,

Abstract The development and experimental validation of a Machine Learning (ML) vibration based Structural Health Monitoring (SHM) prototype system for composite aerostructures operating under uncertainty is presented. Following initial training, it is intended to operate autonomously, in almost real-time, without interrupting normal operation, relying on a limited number of acceleration and strain measurements from properly selected locations on the aerostructure. It is equipped with a multi-level ...

Tópico(s): Ultrasonics and Acoustic Wave Propagation

2024 - IOP Publishing | Journal of Physics Conference Series

Artigo Acesso aberto Revisado por pares

Ioannis E. Saramantas, P E Spiliotopoulos, Fation T. Fera, Dimitrios M. Bourdalos, John S. Sakellariou, Spilios D. Fassois, Yuval Ofir, Iddo Kressel, Moshe Tur, Christos Spandonidis,

Abstract A robust to uncertainty Machine Learning (ML) based Structural Health Monitoring methodology for populations of composite aerostructures is postulated. The methodology is founded upon a number of unsupervised ML algorithms for damage detection and a supervised counterpart for damage characterization. Damage detection is specifically based on two types of Healthy Subspace representations: A Multiple Model (MM) and a varying radii Hyper-Sphere (HS) type. Both are built upon response-only vibration ...

Tópico(s): Probabilistic and Robust Engineering Design

2024 - IOP Publishing | Journal of Physics Conference Series

Artigo Acesso aberto Revisado por pares

P E Spiliotopoulos, F T Fera, Ioannis E. Saramantas, Yuval Ofir, Iddo Kressel, Moshe Tur, Panagiotis Konis, I M Kriatsiotis, John S. Sakellariou, Spilios D. Fassois, Fotios Giannopoulos, Christos Spandonidis, Z Tzioridis,

Abstract The problem of random vibration response-based damage diagnosis (detection & type characterization) for a population of 26 composite aerostructures under varying operating conditions and uncertainty is experimentally investigated. Four damage scenarios are considered in a small sample of the population: Two distinct sizes of a square-shaped delamination and two energy levels of an impact-induced damage. The analysis of the intact (healthy) population indicates rich dynamical information within ...

Tópico(s): Probabilistic and Robust Engineering Design

2024 - IOP Publishing | Journal of Physics Conference Series