Real Estate valuation and forecasting in non-homogeneous markets: A case study in Greece during the financial crisis

In this paper we develop an automatic valuation model for property valuation using a large database of historical prices from Greece. The Greek property market is an inefficient, nonhomogeneous market, still at its infancy and governed by lack of information. As a result modelling the Greek real estate market is a very interesting and challenging problem. The available data cover a wide range of properties across time and include the financial crisis period in Greece which led to tremendous changes in the dynamics of the real estate market. We formulate and compare linear and non-linear models based on regression, hedonic equations and artificial neural networks. The forecasting ability of each method is evaluated out-of-sample. Special care is given on measuring the success of the forecasts but also on identifying the property characteristics that lead to large forecasting errors. Finally, by examining the strengths and the performance of each method we apply a combined forecasting rule to improve forecasting accuracy. Our results indicate that the proposed methodology constitutes an accurate tool for property valuation in a non-homogeneous, newly developed market

Aortic Wall Inflammation in the Pathogenesis, Diagnosis and Treatment of Aortic Aneurysms

The role of inflammation in the development of aortic aneurysms is emerging, along with the potential diagnostic and therapeutical potential of this correlation. Abdominal aorta aneurysms have a strong inflammatory substrate since atherosclerosis, which is undoubtedly linked to inflammation, is also a predisposing factor to their formation. Yet, data have emerged that the development of thoracic aorta aneurysms involves several inflammatory pathways, although they were previously referred to as a non-inflammatory disease. Since aortic aneurysms are mainly asymptomatic during their clinical course until their complications—which may be lethal—serum biomarkers for their early diagnosis are a necessity. Studies highlight that inflammation molecules may have a critical role in that direction. In addition, imaging techniques that trace aortic wall inflammation are developed in order to predict aneurysm growth rates and sites vulnerable of rupture. Several anti-inflammatory agents have been also studied in animal models and clinical trials for the treatment of aortic aneurysms. This review highlights the role of inflammation in pathogenesis, diagnosis and treatment of aortic aneurysms. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature