1950'li yıllarda imar planlama çalışmaları

Ankara : İhsan Doğramacı Bilkent Üniversitesi İktisadi, İdari ve Sosyal Bilimler Fakültesi, Tarih Bölümü, 2015.This work is a student project of the The Department of History, Faculty of Economics, Administrative and Social Sciences, İhsan Doğramacı Bilkent University.by Yeni, Harun

Early Cosmetic Results and Midterm Follow-up Findings of Rhinophyma Patients Treated With High-Frequency Electrosurgery and a Discussion on the Severity Assessment of the Disease

Background: Different methods can be used in the surgical treatment of patients with rhinophyma. There are limited numbers of reports on high-frequency electrosurgery treatment. In addition, an efficient scoring system is required to evaluate severity of the disease in clinical progress and recurrence after treatment. Objectives: We evaluated patients with rhinophyma who were treated with high-frequency electrosurgery and discussed the methods used to assess severity of the disease. Methods: Data and photos of 13 patients were retrospectively evaluated and scored via 2 different forms of the rhinophyma severity index. Results: Median rhinophyma severity index scores of patients at first visits were significantly higher than those at second and third visits (P = .002 and P = .002, respectively). Likewise, median modified rhinophyma severity scores of patients at first visits were significantly higher than those at second and third visits (P = .001 and P = .001, respectively). Also, there was a strong positive correlation between these 2 assessment methods (r = 0.838, P < .001). Conclusions: The rhinophyma severity assessment methods used in this study are positively correlated. High-frequency electrosurgery seems to be a procedure that is safe, effective, and relatively cost-effective in the treatment of rhinophyma lesions

Machine learning aided diagnosis of hepatic malignancies through in vivo dielectric measurements with microwaves

In the past decade, extensive research on dielectric properties of biological tissues led to characterization of dielectric property discrepancy between the malignant and healthy tissues. Such discrepancy enabled the development of microwave therapeutic and diagnostic technologies. Traditionally, dielectric property measurements of biological tissues is performed with the well-known contact probe (open-ended coaxial probe) technique. However, the technique suffers from limited accuracy and low loss resolution for permittivity and conductivity measurements, respectively. Therefore, despite the inherent dielectric property discrepancy, a rigorous measurement routine with open-ended coaxial probes is required for accurate differentiation of malignant and healthy tissues. In this paper, we propose to eliminate the need for multiple measurements with open-ended coaxial probe for malignant and healthy tissue differentiation by applying support vector machine (SVM) classification algorithm to the dielectric measurement data. To do so, first, in vivo malignant and healthy rat liver tissue dielectric property measurements are collected with open-ended coaxial probe technique between 500 MHz to 6 GHz. Cole-Cole functions are fitted to the measured dielectric properties and measurement data is verified with the literature. Malign tissue classification is realized by applying SVM to the open-ended coaxial probe measurements where as high as 99.2% accuracy (F1 Score) is obtained