Political connectedness and business performance:evidence from Turkish industry rankings

This paper examines the degree to which political connections affect business rankings through a statistical analysis of Turkey's industry rankings between 2003 and 2011. The analysis demonstrates that business performance is associated with connectedness through industry and firm level data. We show that political connectedness varies according to the firm's channel of access to obtain favouritism either through direct personal ties or institutional networks. Ideological motivations emerge to be significant in mobilizing, shaping and tying firm behaviour to broader political agendas. In the conclusion we discuss the impact of deepening connectedness on long-term business fortunes and political institutions.</jats:p

Comparison of Direct Payments Paid in European Union and Turkey Agricultural Sector

Bu çalışma ile AB ve Türk çiftçilerinin aldıkları desteklerin karşılaştırmasını yapmak amaçlanmıştır. Türkiye’de işletme başına ortalama destek 1.171 Euro iken AB25’de 5.052 Euro’dur. Türkiye’de hektar başına yapılan destek 185 Euro iken AB25’de 249 Euro’dur. Ayrıca örnek işletmeler seçilmiş ve bu işletmeler için Türkiye ve AB’de verilen destekler karşılaştırılmıştır.The aim of this study was to make a comparison of supports received with the EU and Turkish farmers. The average per farm support is 1.171 Euro in Turkey and 5.052 Euro in EU25. Per hectare support is 185 Euro in Turkey and 249 Euro in EU25. Also farms were selected as an example and given supports for these farms in Turkey and EU were compared

Real-Life Data of Chronic Hepatitis C Patients Treated with Direct-Acting Oral Antivirals: A Single-Center Study

Introduction:Chronic hepatitis C virus (HCV) infection is one of the important causes of liver cancer and cirrhosis all over the worldwide.Methods:The data of the patients diagnosed with chronic hepatitis C infection who applied to the Adult Infectious Diseases and Clinical Microbiology Outpatient Clinic of Erzincan Binali Yildirim University, Mengücek Gazi Training and Research Hospital were retrospectively analyzed. Accordingly, 51 patients treated with direct-acting oral antiviral drugs (DAAs) between January 2016 and May 2021 were included in the study. Patients whose treatment is still ongoing, whose treatment was completed but did not come to the 12th week after treatment, or whose control time has not yet come, were excluded from the study.Results:It was observed that 58.8% of the cases participating in the study were male, 80.4% were infected with genotype 1b, and 74.5% were treatment-naive. When the treatment regimens used in the cases were examined, glecaprevir/pibrentasvir in 7.8%, sofosbuvir (SOF)/ledipasvir (LED), SOF/LED/ribavirin, and SOF/ribavirin in 15.7%, ombitasvir (OBV)/paritaprevir (P)/ritonavir (R)/dasabuvir and OBV/P/R/ribavirin in 76.5% (n=39) appears to be used. A statistically significant difference was found between the alanine aminotransferase, aspartate aminotransferase measurements, and platelet counts of the subjects participating in the study at the beginning, at the 4th week, at the end of the treatment, and at the 12th week (p=0.001). In these cases, a sustained virological response was achieved in 100%. In the follow-up of the cases, no serious side effects that required drug discontinuation were observed.Conclusion:Our study showed that the treatment success of DAAs is 100% and their side-effect profiles are good

The impact of hybrid capture-based comprehensive genomic profiling on treatment strategies in patients with solid tumors

Objective: The development of bioinformatics and comprehensive genomic profiling (CGP) has provided insights into the ap-plicability and functionality of the genomic alterations (GA). In this study, we evaluated the impact of CGP on the treatment plan and outcomes in a significant number of patients. Material and Methods: We carried out a retrospective case-control study on 164 adult patients with advanced solid tumors from 15 oncology centers in Türkiye. Results: In all cases, CGP was performed within 23.8 [standard deviation (SD)±32.1] months of initial diagnosis. Non-small cell lung carcinoma, breast cancer, unknown primary carcinoma, colorectal carcinoma, and sarcoma were among the most common tumor types, accounting for 61.5% of all cases. CGP was performed immediately after the diagnosis of advanced cancer in 13 patients (7.9%). In 158 patients (96.4%), at least one GA was found as per the CGP report. Also, in the reports, the average tumor mutational burden (TMB) and GAs were 7.3 (SD±8.7) mut/Mb and 3.5 (SD±2.0), respectively. According to CGP reports, 58 patients had 79 evidence-based drug suggestions for their particular tumor type, whereas 97 patients had 153 evidence-based drug suggestions for another tumor type. After the primary oncologist interpreted the CGP reports, significant changes were made to the treatment of 35 (21.3%) patients. Conclusion: We strongly believe that in the future, high-TMB or other tumor-agnostic biomarkers will become much more afford-able, and CGP will serve as one of the major decision-making tools for the treatment of patients along with pathological, radiological or lab-oratory tests

Evaluation Of Urban Heat Island In Istanbul Trough Remote Sensing Techniques

Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Bilişim Enstitüsü, 2007Thesis (M.Sc.) -- İstanbul Technical University, Institute of Informatics, 2007Şehirlerde ya da şehre yakın kesimlerde nüfusun hızla artışı şehirleşmeye neden olmaktadır. İnsanların belirli bir bölgede ya da şehirde yerleşirken, o şehrin topografik özelliklerini yani, karaların kullanım şeklini değiştirmesi sonucu şehirleşme oluşmaktadır. Karaların kullanım şeklinin değişmesi lokal ya da bölgesel iklimin değişmesine sebep olmaktadır. Özelliklede şehirleşmenin artışı son iki yüzyıl içinde şehirlerin ikliminde değişikliklere neden olmuştur. Endüstriyel gelişim sonucu şehirlerde nüfusun artışı, şehirleşmenin iklimi etkilemesinin nedenlerinden biridir. Şehirleşme, şehir atmosferini etkileyen değişiklilere sebep olmaktadır. Bunlar; doğal yüzeylerin yerini binaların ve ısıyı daha çok tutup, ısıyı ve havayı geçirmeyen yapay maddelerin alması ve hava kirlenmesidir. Yüzeyin değişmesi, yüzey radyasyonunu, su ve enerji dengesini etkilemektedir. Isıyı ve suyu geçirmeyen maddelerin kullanımının artması, asfalt gibi koyu renkli yüzeylerin giderek artması evapatranspirasyonun ve yüzeyden gerçekleşen gizli ısı akısının azalmasına neden olmaktadır. Aynı zamanda bu maddeler ısıyı yer yüzeyine kıyasla daha fazla tutma kapasitesine sahiptirler. Geometrik etki olarak tanımlanan, şehirlerdeki yüksek binaların artması nedeni ile rüzgarın hareketi kısıtlanmakta ve dar sokaklarda hava akımının oluşamaması şehrin daha fazla ısınmasına ve neden olmaktadır. Tüm bunlar şehir atmosferinin etrafına göre daha fazla ısınmasına neden olmaktadır. Bu durum ?şehir ısı adası ? olarak isimlendirilmektedir. Şehir ısı adaları en çok bulutsuz gecelerde, radyatif soğumanın şehirler ve etrafı arasında çok farklı değerlere sahip olduğu zamanlarda belirgin olmaktadır. 41,01 °N ve 28,58 °E koordinatlarına sahip olan İstanbul şehri 12,5 milyon ile Türkiye'nin nüfusu en yoğun olan şehridir. 1980 ile 2000 yılları arasındaki 20 yıllık dönem İstanbul ilinin en hızlı büyüdüğü dönemdir ve nüfusu yaklaşık iki katı değerlere ulaşmıştır. 1990 ile 2000 yılları arasında İstanbul ilinde; merkezi bölgelerdeki büyüme oranı %29,64, kırsal kesimlerdeki büyüme oranı ise % 81dir. Şehrin toplam büyüme oranı ise % 33.1dir. Bu büyüme oranı ile 2030 yıllarında İstanbul'un 20 milyonluk nüfusa sahip olması beklenmektedir. İstanbul ili de giderek artan nüfusu ile şehirlerde oluşan ve şehrin ısısını arttıran ısı adalarından etkilenmektedir. Bu çalışmada da nüfusu hızla artan İstanbul ilinde ısı adalarının oluşumu incelenmiştir. Isı adalarının incelenebilmesi için İstanbul ili için Landsat 5 TM uydusundan alınan 25 Eylül 1987, 18 Temmuz 1997 ve 28 Haziran 2007 yıllarına ait görüntüler ve yine aynı tarihler için Devlet Meteoroloji Müdürlüklerinden sağlanan sıcaklık değerleri kullanılmıştır. Görüntüler şehir kanalları ve termal kanal için ayrı ayrı sınıflandırılmış, yapılan sınıflandırmalar birbiri ile ilişkilendirilmiştir. İstanbul ili için İstanbul Boğazının güney kısmında, Avrupa ve Asya Kıtalarında oluşmuş şehir ısı adası ile şehrin güney doğusunda oluşmuş başka bir ısı adası bulunmuştur. Şehir ısı adalarının oluştuğu yerler özellikle yerleşimin çok yoğun olduğu bölgeler olarak tespit edilmiştir. Bunun temel nedeni plansız olarak hızlı bir şekilde şehirleşmenin artmasıdır.Yüksek LisansM.Sc

Bayesian Learning and Relevance Vector Machines Approach for Downscaling of Monthly Precipitation

In this study, statistical downscaling of large-scale general circulation model (GCM) simulations to monthly precipitation of Kemer Dam, in Turkey, has been performed through relevance vector machines (RVMs). All possible regression methods along with statistical measures have been used to select potential predictors through reanalysis data providing air850, hgt850, and prate variables as the optimal. The determined explanatory variables are then used for training RVM-based statistical downscaling model. A least-squares support vector machine (LSSVM)-based downscaling model is also constructed to compare the downscaling performance of RVM through some performance evaluation measures such as R-2, AdjR(2) and RMS error (RMSE). Because RVM is able to obtain the better modeling accuracy in terms of all performance measures during the testing period, third-generation coupled climate model (CGCM3) simulations run through the trained RVM to obtain future scenario results. The effectiveness of the RVM model is illustrated through its integration to climate scenarios (20C3M and A2). The statistical significance of the probable changes obtained with used methods is examined by Mann-Whitney U (M-W) and t-tests considering scenario forecasts. According to pessimistic A2 scenario results, statistically significant decreasing trends are foreseen for both seasonal and annual precipitation in the study basin. (C) 2014 American Society of Civil Engineers

Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios

In this study, statistical downscaling of general circulation model (GCM) simulations to monthly inflows of Kemer Dam in Turkey under A1B, A2, and B1 emission scenarios has been performed using machine learning methods, multi-model ensemble and bias correction approaches. Principal component analysis (PCA) has been used to reduce the dimension of potential predictors of National Centers for Environmental Prediction and National Center for Atmospheric Research (NCEP/NCAR) reanalysis data. Then, the reasonable GCMs were selected by investigating the rank correlations between the selected predictors in NCEP/NCAR reanalysis data and those in GCMs for 20C3M scenario between periods 1979 and 1999. Upon the training of feedforward neural network (FFNN), least squares support vector machine (LSSVM) and relevance vector machine (RVM) downscaling models, the general performance of the downscaled predictions using NCEP/NCAR reanalysis data for Kemer watershed showed that the trained RVM model produced adequate results. The effectiveness of RVM model was illustrated by its integration with 20C3M scenario between periods 1979 and 1999 and A1B, A2, and B1 future climate scenarios between periods 2010 and 2039. Afterwards, the flow forecasts were obtained by building a multi-model ensemble through the selected GCMs followed by a bias correction approach. Finally, the significance of the probable changes in trends was identified through statistical tests based on the corrected forecasts. Results showed that decreasing flows trends in winter, spring and fall seasons have been foreseen over the study area for the period between 2010 and 2039