The Observation of Jet Azimuthal Angular Decorrelation at FCC-ep

Higher collision energies at future colliders will eventually lead to the falsification of standard fixed-order perturbation theory and linear evolutions due to non-linear structure of QCD at small-x. New physics researches that is strictly based on accurate jet measurements will undoubtedly have this observation known as BFKL effect via angular jet decorrelations taking into account the Mueller-Navelet jets. As one of the frontier colliders, FCC-ep, has a great observation potential on parton densities through asymmetrical collisions. We aim to test the observability of azimuthal angular jet decorrelations with the recent event generators (HERWIG, PYTHIA) at the particle level for FCC-ep centre of mass energies 3.5 TeV in proton-electron collisions. Jets are reconstructed by the Anti-kT algorithm (R = 0.5), with p_{T} > 35 GeV and selected in the range of |y|<6. Relevant rapidity regions has been analyzed with the azimuthal-angle difference between Mueller-Navelet Jets ({\Delta}{\Phi}) in the rapidity seperation ({\Delta}y) and the distributions of cosn({\pi}-{\Delta}{\Phi}) are presented in comparison as the result.Comment: 11 pages, 15 figures, 2 table

Protective effects of aspirin and vitamin C against corn syrup consumption-induced cardiac damage through sirtuin-1 and HIF-1α pathway

Objective: The aim of this study was to investigate the protective effects of aspirin (AS) and vitamin C (VC) against cardiac damage induced by chronic corn syrup (CS) consumption via a mechanism involving sirtuin-1 (ST-1), hypoxia-inducible factor-1α (HIF-1α), and the caspase-3 pathway in rats. Methods: Forty male Sprague-Dawley rats (14-16 weeks) that weighed 250-300 g were randomly distributed into 5 groups, each containing 8 rats: control group, CS+AS group, CS+VC group, CS+AS+VC group, and CS group. AS (10 mg/kg/day) and VC (200 mg/kg/day) were orally given to the rats. F30 (30% fructose syrup solution) was given to the rats in drinking water for 6 weeks. The rats were sacrificed by exsanguination 24 h after the last administration. Blood samples and tissue were collected for biochemical, histopathological, and immunohistochemical examinations. Non-parametric Kruskal-Wallis test and Mann-Whitney U test used for the parameters without normal distribution and ANOVA and post-hoc LSD tests were used for parameters with a normal distribution to compare groups. Results: Uric acid, creatine kinase (CKMB), and lactate dehydrogenase (LDH) levels were increased in the CS group compared with the control group (1.45±0.39 and p=0.011; 3225.64±598.25 and p=0.004; 3906.83±1064.22 and p=0.002, respectively) and decreased in all the treatment groups. In addition, increased levels of MDA and decreased activity of CAT in the CS group (0.172±0.03 and p=0.000; 0.070±0.005 and p=0.007, respectively) were reversed with AS and VC therapy. A decrease in ST-1 activity and increases in caspase-3 and HIF-1 activities corrected by VC and AS therapy were observed. Conclusion: AS and VC, which display antioxidant and antiapoptotic activities, ameliorated cardiac damage induced by chronic fructose consumption by increasing the levels of ST-1 and decreasing the levels of HIF-1α and caspase-3. © 2016 by Turkish Society of Cardiology

Perimenopozal duygudurum bozukluklarında mao-a vntr gen polimorfizminin rolü

Bu tezin, veri tabanı üzerinden yayınlanma izni bulunmamaktadır. Yayınlanma izni olmayan tezlerin basılı kopyalarına Üniversite kütüphaneniz aracılığıyla (TÜBESS üzerinden) erişebilirsiniz.[Abstarct Not Available

Financial Development, Technological Innovation and Income Inequality: Time Series Evidence from Turkey

The main aim of the study is to analyze the link between technological innovation and income inequality for Turkey in terms of financial Kuznets curve (FKC) hypothesis. The study uses time-series data from 1987 to 2018. We employ the Hatemi-J cointegration, ARDL bounds test and VECM Granger causality techniques to investigate the relations between the variables. We also employ the DOLS, FMOLS and CCR approaches to estimate the long-run parameters. The results reveal that the series are cointegrated under the structural breaks. The results also reveal that the FKC is valid for Turkish economy in the long run. Technological innovation positively affects income inequality while economic growth is negatively linked with income inequality. There exists a bi-directional causal linkage between financial development and income inequality. Technological innovation and income inequality cause each other. In addition, economic growth causes income inequality. Empirical results suggest a twofold policy implication: i) improvement of the financial system and ii) to eliminate the adverse effects of technological innovations on income distribution. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature

The impact of agricultural sector on environmental pollution: A cointegration and causality analysis for Turkish economy

In recent years, environmental pollution and the accurate determination of the main factors affecting it are an important subject of investigation. The aim of this study is to explore the relationship between agricultural sector and environmental pollution in Turkey for the period of 1968-2016. There is no consensus on the empirical relationship between agricultural sector and environmental pollution in the literature. For this reason, the study both contributes to the literature and provides an important evidence for future studies. Agricultural value added and agricultural land are preferred as determinants of agriculture while carbon dioxide emission is used as a measure of environmental degradation. In addition, economic growth and renewable energy consumption are added to the models as other independent variables. In empirical analysis, the relationship between agriculture and environmental pollution is estimated by establishing two models. The methodology comprises of three stages. Firstly, the stationarity properties of the series are tested with conventional unit root tests such as DF-GLS and Ng-Perron. In addition, the stationarity levels of the series are investigated by Zivot-Andrews and Lee-Strazicich structural break unit root tests. Secondly, the cointegration between the series and long-run coefficients are estimated by the ARDL model. Lastly, the existence of causality between the series is determined by the Toda-Yamamoto test. The findings points out a cointegration between the underlying series. The findings also reveal that agricultural value added and agricultural land decrease carbon dioxide emission in the long run. The study supports that the environmental Kuznets curve (EKC) hypothesis is valid for the Turkish economy. It is found that agriculture causes carbon dioxide emission. Moreover, it is detected that agricultural value added and agricultural land are the causation of renewable energy consumption. Consequently, policy makers should attach more importance to the agricultural sector for sustainable economic development in Turkey. Additionally, the agricultural lands should be protected and encouraged for value added manufacturing. Thus, environmental pollution will tend to decrease. © 2020 Namik Kemal University - Agricultural Faculty. All rights reserved

Tarım ve Çevre Kirliliği Arasındaki İlişki: Türkiye Ekonomisi İçin Bir Eşbütünleşme ve Nedensellik Analizi

In recent years, environmental pollution and the accurate determination of the main factors affecting it are an important subject of investigation. The aim of this study is to explore the relationship between agricultural sector and environmental pollution in Turkey for the period of 1968-2016. There is no consensus on the empirical relationship between agricultural sector and environmental pollution in the literature. For this reason, the study both contributes to the literature and provides an important evidence for future studies. Agricultural value added and agricultural land are preferred as determinants of agriculture while carbon dioxide emission is used as a measure of environmental degradation. In addition, economic growth and renewable energy consumption are added to the models as other independent variables. In empirical analysis, the relationship between agriculture and environmental pollution is estimated by establishing two models. The methodology comprises of three stages. Firstly, the stationarity properties of the series are tested with conventional unit root tests such as DF-GLS and Ng-Perron. In addition, the stationarity levels of the series are investigated by Zivot-Andrews and Lee-Strazicich structural break unit root tests. Secondly, the cointegration between the series and long-run coefficients are estimated by the ARDL model. Lastly, the existence of causality between the series is determined by the Toda-Yamamoto test. The findings points out a cointegration between the underlying series. The findings also reveal that agricultural value added and agricultural land decrease carbon dioxide emission in the long run. The study supports that the environmental Kuznets curve (EKC) hypothesis is valid for the Turkish economy. It is found that agriculture causes carbon dioxide emission. Moreover, it is detected that agricultural value added and agricultural land are the causation of renewable energy consumption. Consequently, policy makers should attach more importance to the agricultural sector for sustainable economic development in Turkey. Additionally, the agricultural lands should be protected and encouraged for value added manufacturing. Thus, environmental pollution will tend to decrease. © 2020 Namik Kemal University - Agricultural Faculty. All rights reserved

AG Dağıtım Şebekelerinde Kaçak Kullanımın Tespiti ve Otomatik Faturalama İçin Örnek Laboratuvar Çalışması

Bu çalışma ile akıllı şehirleşmeye katkı sağlayacağı düşünülerek, kaçak enerji kullanımının tespiti, otomatik faturalama ve puant yük talebinin takibi için kullanıcı enerji tüketim verilerinin kablosuz haberleşme ile aktarılması sağlanarak PLC destekli SCADA ile örnek bir laboratuvar uygulaması yapılmıştır. Kaçak enerji kullanımı, arıza tespiti ve hızlı müdahale, uzaktan sayaç okuma ve faturalama, puant yük taleplerinin spesifik şekilde izlenmesi gibi birçok sebep, dağıtım sistemleri için enerji yazılımlarını gerekli kılmaktadır. Bununla birlikte elektrikli araçların kullanımının hızla artışı şehirlerde şarj istasyonlarının varlığını gerekli kılacaktır. Bu durum enerji dağıtım firmaları için tüm şehri kapsayacak bir ağda kompleks topolojilere sahip enerji yazılımlarını zorunlu hale getirecektir. Tüm bu sebeplerle gelecekte akıllı şehirlere geçiş için enerji yönetimi gerekli bir unsur olacaktır

Transport sector transformation: integrating electric vehicles in Turkey's distribution grids

This study investigates the impacts of integrating electrical vehicles to pilot distribution grids in Turkey to quantify technical concerns and solutions for the year 2030. Different charging loads that discern home, workplace and public charging are considered under two different cases; “home-charging-support” and “public-charging-support.” Random variables describing arrival time of electrical vehicles to the charging stations and associated state of charge at arrival time are modeled with a stochastic approach. Dependencies of electrical vehicle integration capacities of the pilot regions are investigated quantitatively based on several key performance indices. The study also analyzes effects on key performance indicators of demand response by electrical vehicle users, defined as smart charging. Key results show that there is sufficient capacity in the four selected Turkish distribution grids to integrate almost 10% electrical vehicles in the vehicle stock by 2030. Based on the results, priority areas are outlined for stakeholders including energy policymakers