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The scientific memory of Kadir Has University. Publications, projects, and researchers—all in one place. The heart of open science beats here. 'Open Science. Visible Impact.'
Most Viewed Publications
10 Metrelik Bir Çubuk-Düzlem Hava Boşluğunda Yavaş Ön Darbe Voltajının Pozitif Akış Lideri Gelişimi Üzerindeki Etkisi
Master Thesis
308
Most Downloaded Publications
Sabahattin Ali'nin Kürk Mantolu Madonna Romanında Romantik Aşk Anlayışı ve Oyun Yazımı için Eleştirel Olanaklar
Master Thesis
2724
Tasarımların Hükümsüzlüğü
Master Thesis
2285
Rekabet Hukuku Açısından Rekabet Yasakları
Master Thesis
1676
Recent Submitted Publications
Citation - WoS: 22
Citation - Scopus: 34
A Quality-of-Service-Aware Service Composition Method in the Internet of Things Using a Multi-Objective Fuzzy-Based Hybrid Algorithm
(Mdpi, 2023) Hamzei, Marzieh; Khandagh, Saeed; Navimipour, Nima Jafari
The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing billions of intelligent objects capable of bridging the physical and virtual worlds across various locations. IoT services are responsible for delivering essential functionalities. In this dynamic and interconnected IoT landscape, providing high-quality services is paramount to enhancing user experiences and optimizing system efficiency. Service composition techniques come into play to address user requests in IoT applications, allowing various IoT services to collaborate seamlessly. Considering the resource limitations of IoT devices, they often leverage cloud infrastructures to overcome technological constraints, benefiting from unlimited resources and capabilities. Moreover, the emergence of fog computing has gained prominence, facilitating IoT application processing in edge networks closer to IoT sensors and effectively reducing delays inherent in cloud data centers. In this context, our study proposes a cloud-/fog-based service composition for IoT, introducing a novel fuzzy-based hybrid algorithm. This algorithm ingeniously combines Ant Colony Optimization (ACO) and Artificial Bee Colony (ABC) optimization algorithms, taking into account energy consumption and Quality of Service (QoS) factors during the service selection process. By leveraging this fuzzy-based hybrid algorithm, our approach aims to revolutionize service composition in IoT environments by empowering intelligent decision-making capabilities and ensuring optimal user satisfaction. Our experimental results demonstrate the effectiveness of the proposed strategy in successfully fulfilling service composition requests by identifying suitable services. When compared to recently introduced methods, our hybrid approach yields significant benefits. On average, it reduces energy consumption by 17.11%, enhances availability and reliability by 8.27% and 4.52%, respectively, and improves the average cost by 21.56%.
Identity and the Availability of Emergency Contraception From Pharmacies in Istanbul
(2021) Oneıl, Mary Lou; Fidan, Bahar Aldanmaz
Emergency contraception (EC) has been and remains available in Turkey without prescription since 2002. This study attempted to determine the availability of emergency contraception from pharmacies in Istanbul, Turkey and whether the identity of the purchaser had any impact on availability. More specifically, we sought to understand if young women feel shamed or denied access to EC. This study employed a mystery patient/shopper approach where mystery patients attempted to purchase emergency contraception from a random sample of 352 pharmacies in Istanbul. Mystery shoppers, ages 18-22, were trained and provided a standard scenario and identity. The identities included: conservative/ religious female; secular/modern female; and male. After each pharmacy visit, the mystery patients recorded the details of their attempts to purchase EC. In 95.4% of visits mystery shoppers were able to purchase EC. Despite the availability of several types of EC, little choice was given to shoppers. Male mystery shoppers were given more choice of EC than their female counterparts and were more often able to purchase the less expensive form of EC. In the majority of transactions, pharmacists offered no medical instructions or recommendations. EC is widely available from pharmacies in Istanbul but lack of choice and information from pharmacists result in a less than ideal health care experience.
Citation - WoS: 17
Citation - Scopus: 20
In Silico Design of Novel and Highly Selective Lysine-Specific Histone Demethylase Inhibitors
(Scientific Technical Research Council Turkey-Tubitak, 2011) Akdoğan, Ebru Demet; Erman, Burak; Yelekçi, Kemal
Histone lysine-specific demethylase (LSD1) is involved in a wide range of epigenetic processes and plays important roles in gene silencing DNA transcription DNA replication DNA repair and heterochromatin formation. Its active site shows a resemblance to those of 2 homologous enzymes monamine oxidase A and B (MAO-A and MAO-B.) In the present work starting from suitable scaffolds and generating thousands of structures from them 10 potential inhibitors were obtained with structural and physicochemical properties selectively suitable for inhibiting LSD1. iLib Diverse software was used to generate the diverse structures and 3 docking tools CDOCKER GOLD and AutoDock were used to find the most probable potential inhibitor based on its binding affinity. The dispositions of the candidate molecules within the organism were checked by ADMET_PSA_2D (polar surface area) versus ADMET_AlogP98 (the logarithm of the partition coefficient between n-octanol and water) and their suitability is discussed. The LSD1 inhibition activities of the candidates were compared with the properties of trans-2-phenylcyclopropylamine (tranylcypromine) and 2-(4-methoxy-phenyl) cyclopropylamine which are the 2 known inhibitors of LSD1.
Citation - Scopus: 3
Cloud Elearning: Transforming Education Through Cloud Technology: Preliminaries for Generation C
(Academic Conferences Limited, 2012) Oberer, B.; Erkollar, A.
Cloud computing is a buzz word that is also spilling over into the education industry, which enables access to software applications, hardware, data, and computer processing power on the Web, rather than installing software onto one's computer or server. For education, it offers new possibilities to structure and perform learning processes. In this study, the potential impact of cloud computing on education is analyzed, showing what it means for educators and students as well as institutions, and summarized under the heading 'Generation C', where C stands for cloud. The results of the study revealed that cloud computing can be used by educators, institutions, and individual students as well as by jurisdiction to support particular teaching and learning experiences and to organize software availability. Challenges for educators and institutions using cloud computing in teaching could be summarized under the following keywords: interoperability and transferability, terms and conditions, security and privacy issues, backup and perpetuity, denial of service and content issues. On a whole, some implications of using cloud computing need to be kept in mind, good understanding of the applications in use, development of guidelines for use and migration strategies as well as the implementation of risk management could allow educators and institutions to take advantage of cloud computing, in turn offering rich online learning experiences for students.
Citation - WoS: 145
Citation - Scopus: 145
Psychological Correlates of Covid-19 Conspiracy Beliefs and Preventive Measures: Evidence From Turkey
(Springer, 2020) Alper, Sinan; Bayrak, Fatih; Yılmaz, Onurcan
COVID-19 pandemic has led to popular conspiracy theories regarding its origins and widespread concern over the level of compliance with preventive measures. In the current preregistered research, we recruited 1088 Turkish participants and investigated (a) individual differences associated with COVID-19 conspiracy beliefs; (2) whether such conspiracy beliefs are related to the level of preventive measures; and (3) other individual differences that might be related to the preventive measures. Higher faith in intuition, uncertainty avoidance, impulsivity, generic conspiracy beliefs, religiosity, and right-wing ideology, and a lower level of cognitive reflection were associated with a higher level of belief in COVID-19 conspiracy theories. There was no association between COVID-19 conspiracy beliefs and preventive measures while perceived risk was positively and impulsivity negatively correlated with preventive measures. We discuss the implications and directions for future research.