Yeşilçam'ın kötü adamları

Ankara : İhsan Doğramacı Bilkent Üniversitesi İktisadi, İdari ve Sosyal Bilimler Fakültesi, Tarih Bölümü, 2016.This work is a student project of the The Department of History, Faculty of Economics, Administrative and Social Sciences, İhsan Doğramacı Bilkent University.by Özer, Abdurrahim

Bornova Havza’sının Tümleşik Yerbilim Araştırması

In the Bornova Basin, especially in the Bayraklı district, more than500 buildings were damaged in the Aegean Sea (Samos) earthquake of30 October 2020. In order to determine the relationship between thestructural damage and the tectonic and soil properties of the basin;seismic reflection, electrical resistivity tomography (ERT), inducedpolarisation tomography (IPT) and spatial auto-correlation (SPAC)studies were carried out in the basin within the scope of TÜBİTAKproject. Within the framework of these studies; the definition of thebasin boundary faults was analysed by electrical methods, thesedimentary character of the basin, possible structural discontinuitiesand other changes within the basin were investigated by the seismicreflection method in two perpendicular lines, and the geometry of thebedrock in the basin and the shear wave velocity distribution of thesedimentary layers and the bedrock were analysed by the SPACmethod. Based on the seismic data, drilling studies were carried out atfour different locations to determine the sedimentary characteristics ofthe layers and the nature of the bedrock under the basin. As a result ofthe interpretation of the integrated geophysical data sets andgeological and palaeogeographical studies on the drilling cores,preliminary information on the geological evolution of the basin wastried to be obtained. By going deeper than any drilling done in thebasin since the 1950s, the thickness of the sediment and the nature ofthe bedrock under the sediment were determined, at least in the partof the basin where multi-storey construction exists. This has providedimportant data on the character of the sedimentary layers in thedensely populated study area. As a result, the general characteristicsof the basin, the characteristics of the sedimentary packages, the basinboundary faults and the faults within the basin were determined, andamodel of the basin was tried to be established. In this way, answerswere sought to the questions of why the damage caused by thisearthquake remained localised and whether it was due to the basineffect or other geological problems. In addition, it was seen that theresults provided an important basis for the microzonation studies ofthe city of İzmir. The numerical geoscientific data obtained from theproject were transferred to the TÜBİTAK Coordination Project No.221M169 "Effects of Simulation Based Earthquake Scenarios onStructural Damage Vulnerability Distribution and Resilient UrbanPlanning in Izmir Bornova Basin".This study was supported by the TÜBİTAK project under grant number121Y252. This project is an exemplary model of how geoscientificapplications can be carried out in many urban areas of Turkey wheresimilar problems are observed.</p

Clinical, Demographic, and Radiological Characteristics of Patients Demonstrating Antibodies Against Myelin Oligodendrocyte Glycoprotein

Background: Optic neuritis, myelitis, and neuromyelitis optica spectrum disorder (NMOSD) have been associated with antibodies against myelin oligodendrocyte glycoprotein-immunoglobulin G (anti-MOG-IgG). Furthermore, patients with radiological and demographic features atypical for multiple sclerosis (MS) with optic neuritis and myelitis also demonstrate antibodies against aquaporin-4 and anti-MOG-IgG. However, data on the diagnosis, treatment, follow-up, and prognosis in patients with anti-MOG-IgG are limited. Aims: To evaluate the clinical, radiological, and demographic characteristics of patients with anti-MOG-IgG. Study Design: Multicenter, retrospective, observational study. Methods: Patients with blood samples demonstrating anti-MOG-IgG that had been evaluated at the Neuroimmunology laboratory at Ondokuz Mayıs University’s Faculty of Medicine were included in the study. Results: Of the 104 patients with anti-MOG-IgG, 56.7% were women and 43.3% were men. Approximately 2.4% of the patients were diagnosed with MS, 15.8% with acute disseminated encephalomyelitis (ADEM), 39.4% with NMOSD, 31.3% with isolated optic neuritis, and 11.1% with isolated myelitis. Approximately 53.1% of patients with spinal involvement at clinical onset demonstrated a clinical course of NMOSD. Thereafter, 8.8% of these patients demonstrated a clinical course similar to MS and ADEM, and 28.1% demonstrated a clinical course of isolated myelitis. The response to acute attack treatment was lower and the disability was higher in patients aged > 40 years than patients aged < 40 years at clinical onset. Oligoclonal band was detected in 15.5% of the patients. Conclusion: For patients with NMOSD and without anti-NMO antibodies, the diagnosis is supported by the presence of anti-MOG-IgG. Furthermore, advanced age at clinical onset, Expanded Disability Status Scale (EDSS) score at clinical onset, spinal cord involvement, and number of attacks may be negative prognostic factors in patients with anti-MOG-IgG