A5075337457- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cognitive Science and Mapping
- Computational Physics and Python Applications
- Treatment of Major Depression
- Ophthalmology and Eye Disorders
- Cosmology and Gravitation Theories
- Facial Rejuvenation and Surgery Techniques
- Schizophrenia research and treatment
- Multi-Criteria Decision Making
- Astrophysics and Cosmic Phenomena
- Mental Health and Psychiatry
- Mental Health Research Topics
- Cognitive Computing and Networks
- Electroconvulsive Therapy Studies
- Tryptophan and brain disorders
- Neutrino Physics Research
- Industrial Vision Systems and Defect Detection
- Psychosomatic Disorders and Their Treatments
- Bipolar Disorder and Treatment
- Bone fractures and treatments
- Advanced X-ray and CT Imaging
University of Thessaly
2010-2025
Aristotle University of Thessaloniki
2006-2024
University of the Aegean
2014-2023
National and Kapodistrian University of Athens
2018-2023
Democritus University of Thrace
2023
Institute of Educational Policy
2022
University of Piraeus
2022
Papageorgiou General Hospital
2022
Medical University of Vienna
2010-2021
Telio (Norway)
2021
Problems in the perception of emotional material, particular deficits recognition negative stimuli, have been demonstrated schizophrenia including first-episode samples. However, it is largely unknown if emotion impairment present people with subthreshold psychotic symptoms. Here, we examined capacity to recognize facially expressed and affective prosody 79 individuals at ultra high-risk for psychosis, 30 clinically stable assessed as outpatients during early recovery phase illness,...
Bone metastasis is one of the most frequent diseases in prostate cancer; scintigraphy imaging particularly important for clinical diagnosis bone metastasis. Up to date, minimal research has been conducted regarding application machine learning with emphasis on modern efficient convolutional neural networks (CNNs) algorithms, cancer from images. The advantageous and outstanding capabilities deep learning, learning's groundbreaking technological advancement, have not yet fully investigated...
The molecular basis for anatomically dispersed clinical manifestations in Graves' disease (GD) eludes our understanding. Bone marrow-derived, pluripotent fibrocytes represent a subset of peripheral blood mononuclear cells and infiltrate the orbital thyroid tissues GD. These may be involved pathogenesis thyroid-associated ophthalmopathy (TAO).The objective study was to quantify fibrocyte display functional cell surface TSH receptor (TSHR), identify profile chemokines they express after TSHR...
Every development and production process needs to operate within a circular economy keep the human being safe limit of planetary boundary. Policymakers are in quest powerful easy-to-use tool for representing perceived causal structure complex system that could help them choose develop right strategies. In this context, fuzzy cognitive maps (FCMs) can serve as soft computing method modelling knowledge developing quantitative dynamic models. FCM-based includes aggregation from variety sources...
Antidepressants (ADs) are known to have the potential cause various cardiovascular adverse drug reactions (ADRs). The tricyclic antidepressants (TCAs) were first revealed be a possible source of ADRs. In recent years, newer classes ADs also suggested higher risk effects. particular, selective serotonin reuptake inhibitors (SSRIs) suspected induce QTc interval prolongation, and therefore increase ventricular arrhythmia. This descriptive study is based on continuous pharmacovigilance program...
In smart manufacturing, the automation of anomaly detection is essential for increasing productivity. Timeseries data from production processes are often complex sequences and their assessment involves many variables. Thus, with deep learning approaches considered as an efficient effective methodology. this work, autoencoders examined. Three employed to analyze industrial dataset performance assessed. Autoencoders based on long short-term memory convolutional neural networks appear be most promising.
Purpose.: CD40–CD40 ligand (CD40L) interactions appear to play pathogenic roles in autoimmune disease. Here we quantify CD40 expression on fibrocytes, circulating, and bone marrow–derived progenitor cells. The functional consequences of ligation are determined since these may promote tissue remodeling linked with thyroid-associated ophthalmopathy (TAO). Methods.: levels cultivated fibrocytes orbital fibroblasts (GOFB) from patients Graves' disease (GD), as well fibrocyte abundance, were by...
Background:Drug-induced liver injury is a common cause of damage and the most frequent reason for withdrawal drug in United States. The symptoms drug-induced are extremely diverse, with some patients remaining asymptomatic.
(1) Background: Bone metastasis is among diseases that frequently appear in breast, lung and prostate cancer; the most popular imaging method of screening bone scintigraphy presents very high sensitivity (95%). In context image recognition, this work investigates convolutional neural networks (CNNs), which are an efficient type deep networks, to sort out diagnosis problem on cancer patients; (2) Methods: As a learning model, CNN able extract feature use classify images. It widely applied...
Photovoltaic Solar Energy (PSE) sector has sparked great interest from governments over the last decade towards diminution of world’s dependency to fossil fuels, greenhouse gas emissions reduction and global warming mitigation. solar energy also holds a significant role in transition sustainable systems. These systems their optimal exploitation require an effective supply chain management system, such as design network, collection, storage, or transportation this resource, without...
Objective: To compare soft tissue and fat volumes in the supraorbital area of healthy patients with thyroid-associated orbitopathy (TAO) using 3-dimensional reconstruction software. Methods:The superiolateral orbital was delineated on a bony framework.Three-dimensional volumetric calculation retroorbicularis oculi (brow fat), galeal (including retro-orbicularis soft-tissue muscle were performed.Results: We analyzed 100 computed tomographic scans from 48 TAO 52 control subjects.All showed an...
The Sundarbans is the world’s largest coastal river delta and uninterrupted mangrove ecosystem. A complex socio-ecological setting, coupled with disproportionately high climate-change exposure severe ecological social vulnerabilities, has turned it into a climate hotspot requiring well-designed adaptation interventions. We have used fuzzy cognitive maps (FCM)-based approach to elicit integrate stakeholders’ perceptions regarding current forcing, consequent impacts, efficacy of existing...
While international guidelines recommend monotherapy with antidepressants for depressed patients, recent investigation has demonstrated augmenting effects of antipsychotics (APs) in patients major depression. We set out to investigate the use APs a European sample inpatients and possible changes their prescription over period from 2000 2007. On two reference days years (32 psychiatric institutions, N=1078) 2007 (54 N=1826), following data were recorded all (ICD-10: F32.00, F32.01, F32.1,...
The eyebrows and eyebrow fat pads, key structures in upper facial aesthetics, are particularly vulnerable to age-related changes.In this study, the authors compare impact of aging on pad volume men women through three-dimensional (3D) volumetric analysis.Electronic medical records patients seen at Jules Stein Eye Institute Division Orbital Ophthalmic Plastic Surgery between 2005 2010 were reviewed. Patients included if they had undergone investigative imaging orbit for unilateral pathology....
Objectives: Venous thromboembolism (VTE) can be a life-threatening medical condition that may lead to leg swelling, respiratory distress and death.Methods: The AMSP (Arzneimittelsicherheit in der Psychiatrie) is continuous multicentre drug surveillance programme assesses severe adverse reactions during treatment of psychiatric inpatients. We report on total 264,422 inpatients who were treated with antipsychotics (APs) monitored from 1993 2011 99 hospitals.Results: During this period VTE...
This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim of forecasting is to obtain reasonably accurate forecasts future data from analyzing records data. In the paper, we proposed an ensemble-based forecast combination methodology as alternative approach methods technique combines various algorithms, including SOGA (structure...