Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.khas.edu.tr/handle/20.500.12469/1248

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Citation - Scopus: 0
18 - Turkey
(Cambridge University Press, 2020) Diner,C.
Each of these chapters contains a case study of a couple from the relevant country. Each includes a description of the everyday life of the couple with respect to the division of housework and childcare, a recounting of the history of their relationship and how it became equal, a discussion of how they balance paid work and family, and an analysis of the factors that facilitate their equality. Those factors include their conviction in gender equality, their rejection of essentialist beliefs, their familism, and their socialization in their families of origin. By showing how and why they undo gender, these couples provide lessons on how equality at home can be achieved. © Cambridge University Press 2020
Citation - Scopus: 0
2nd tourism and hospitality networking conference | RESNET’22
(Routledge, 2023) Serra, J.
[No abstract available]
Citation - WoS: 2
Citation - Scopus: 1
3D self-assemble formation of molybdenum disulfide (MoS2)-doped polyacrylamide (PAAm) composite hydrogels
(Tubitak Scientific & Technological Research Council Turkey, 2022) Özuğur Uysal, Bengü; Pekcan, Mehmet Önder; Uysal, Bengu Ozugur; Pekcan, Onder
Polyacrylamide (PAAm), a renowned member of the hydrogel class, has many uses throughout a wide range of industrial processes, including water absorbed diapers, contact lenses, wastewater treatment, biomedical applications such as drug delivery vehicles and tissue engineering because of its physical stability, durability, flexibility easier shaping, and so on. PAAm also provides new functionalities after the incorporation of inorganic structures such as molybdenum disulfide (MoS2). During the copolymerization process, the transmittance of all samples reduced significantly after a particular time, referred to as the gel point. Microgels form a tree above the gel point as projected by Flory-Stockmayer classical theory. Because of microgels positioned at the junction points of the Cayley tree, the addition of MoS2 results in strong intramolecular crosslinking and looser composites. Moreover, fractal geometry provides a quantitative measure of randomness and thus permits characterization of random systems such as polymers. Fractal dimension of these polymer composites is calculated from power-law-dependent scattered intensity. It was also confirmed that a hydrogel rapidly formed within a few seconds, indicating a 3D network formation inside the gel. These materials may have a great potential for application in wearable and implantable electronics due to this highly desired 3D self-assemble feature.
Citation - WoS: 1
Citation - Scopus: 1
Accelerated Trends in Tourism Marketing and Tourist Behaviour
(Routledge, 2023) Kozak, Metin; Kozak, Metin; Kozak, Metin
[No Abstract Available]
Citation - Scopus: 0
ACOUSTIC TRANSFORMATION OF ROCK-CUT CAVES INTO PERFORMANCE SPACES
(European Acoustics Association, EAA, 2023) Şaher, Konca; Saher,K.; Tozoglu,A.E.
Cappadocia Region in Turkey is a center of attention as a tourism destination with its rock-cut caves, some of which are being used as performance spaces for concerts, festivals and local entertainment activities. However, these spaces are not fully investigated for their acoustic performance before being transformed into performance venues. This paper reports on the findings of an initial survey which presents a systematic mapping of the rock-cut caves used as performance spaces to locate, explore and document a sample of structures scattered in this historic district. A typological classification based on volume, size, type of tuff rock material and historical original use has been proposed and an acoustic analysis of some selected rock-cut caves has been carried out. The acoustic analysis included reverberation time calculations and simulations based on apparent volume, and tuff stone absorption characteristics, which were studied by other researchers in the area. © 2023 Aslan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation - WoS: 6
Citation - Scopus: 5
The acquisition and use of relative clauses in Turkish-learning children's conversational interactions: a cross-linguistic approach
(Cambridge University Press, 2019) Arslan Uzundağ, Berna; Küntay, Aylin C.
Using a cross-linguistic approach, we investigated Turkish-speaking children's acquisition and use of relative clauses (RCs) by examining longitudinal child-caregiver interactions and cross-sectional peer conversations. Longitudinal data were collected from 8 children between the ages of 8 and 36 months. Peer conversational corpus came from 78 children aged between 43 and 64 months. Children produced RCs later than in English (Diessel, 2004) and Mandarin (Chen & Shirai, 2015), and demonstrated increasing semantic and structural complexity with age. Despite the morphosyntactic difficulty of object RCs, and prior experimental findings showing a subject RC advantage, preschool-aged children produced object RCs, which were highly frequent in child-directed speech, as frequently as subject RCs. Object RCs in spontaneous speech were semantically less demanding (with pronominal subjects and inanimate head nouns) than the stimuli used in prior experiments. Results suggest that multiple factors such as input frequency and morphosyntactic and semantic difficulty affect the acquisition patterns.
Citation - Scopus: 10
Actively open- minded thinking and the political effects of its absence
(Oxford University Press, 2023) Baron, J.; Isler, O.; Yilmaz, O.
[No abstract available]
Citation - WoS: 0
Citation - Scopus: 0
Adaptive Sampling Noise Mitigation Technique for Feedback-Based Quantum Algorithms
(Springer international Publishing Ag, 2024) Karabacak, Özkan; Clausen, Henrik Glavind; Karabacak, Ozkan; Wisniewski, Rafal
Inspired by Lyapunov control techniques for quantum systems, feedback-based quantum algorithms have recently been proposed as alternatives to variational quantum algorithms for solving quadratic unconstrained binary optimization problems. These algorithms update the circuit parameters layer-wise through feedback from measuring the qubits in the previous layer to estimate expectations of certain observables. Therefore, the number of samples directly affects the algorithm's performance and may even cause divergence. In this work, we propose an adaptive technique to mitigate the sampling noise by adopting a switching control law in the design of the feedback-based algorithm. The proposed technique can lead to better performance and convergence properties. We show the robustness of our technique against sampling noise through an application for the maximum clique problem.
Citation - Scopus: 0
Age Classification by Wgan Brain Mr Image Augmentation
(Institute of Electrical and Electronics Engineers Inc., 2024) Özmen, Atilla; Yilmaz, O.Z.; Darici, M.B.; Ozmen, A.
Medical image augmentation plays a crucial role in enhancing the performance of Artificial Intelligence (AI) applications in medical sciences. Augmenting medical images is important for solving data scarcity, increasing data diversity, enhancing robustness and reliability of model and improving training and test results that can be done in medical sciences. In this work we show that Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) can be used for increasing the performance of data classification. To achieve that, we have augmented healthy brain MR images by using WGAN and updated the dataset. The results give that when dataset augmented by WGAN-GP is used as input for CNN-based model to solve age classification problem, accuracy of this model increases to 98,37% from 95,14%. It can be concluded that the purposed WGAN-based brain MR image augmentation method enhances the performance of image classification. © 2024 IEEE.
Citation - Scopus: 1
Algorithm for Key Transparency With Transparent Logs
(F1000 Research Ltd, 2024) Mollakuqe, E.; Rexhepi, S.; Bunjaku, R.; Dag, H.; Chukwu, I.J.
Background: Cryptography plays a crucial role in securing digital communications and data storage. This study evaluates the Transparent Key Management Algorithm utilizing Merkle trees, focusing on its performance and security effectiveness in cryptographic key handling. Methods: The research employs simulated experiments to systematically measure and analyze key operational metrics such as insertion and verification times. Synthetic datasets are used to mimic diverse operational conditions, ensuring rigorous evaluation under varying workloads and security threats. Implementation is carried out using R programming, integrating cryptographic functions and Merkle tree structures for integrity verification. Results: Performance analysis reveals efficient insertion and verification times under normal conditions, essential for operational workflows. Security evaluations demonstrate the algorithm's robustness against tampering, with approximately 95% of keys verified successfully and effective detection of unauthorized modifications. Simulated attack scenarios underscore its resilience in mitigating security threats. Conclusions: The Transparent Key Management Algorithm, enhanced by Merkle trees and cryptographic hashing techniques, proves effective in ensuring data integrity, security, and operational efficiency. Recommendations include continuous monitoring and adaptive algorithms to bolster resilience against evolving cybersecurity challenges, promoting trust and reliability in cryptographic operations. Copyright: © 2024 Mollakuqe E et al.
Citation - WoS: 4
Citation - Scopus: 4
Alternative Credit Scoring and Classification Employing Machine Learning Techniques on a Big Data Platform
(Institute of Electrical and Electronics Engineers Inc., 2019) Dağ, Hasan; Kiyakoğlu, Burhan Yasin; Rezaeinazhad, Arash Mohammadian; Korkmaz, Halil Ergun; Dağ, Hasan
With the bloom of financial technology and innovations aiming to deliver a high standard of financial services, banks and credit service companies, along with other financial institutions, use the most recent technologies available in a variety of ways from addressing the information asymmetry, matching the needs of borrowers and lenders, to facilitating transactions using payment services. In the long list of FinTechs, one of the most attractive platforms is the Peer-to-Peer (P2P) lending which aims to bring the investors and borrowers hand in hand, leaving out the traditional intermediaries like banks. The main purpose of a financial institution as an intermediary is of controlling risk and P2P lending platforms innovate and use new ways of risk assessment. In the era of Big Data, using a diverse source of information from spending behaviors of customers, social media behavior, and geographic information along with traditional methods for credit scoring prove to have new insights for the proper and more accurate credit scoring. In this study, we investigate the machine learning techniques on big data platforms, analyzing the credit scoring methods. It has been concluded that on a HDFS (Hadoop Distributed File System) environment, Logistic Regression performs better than Decision Tree and Random Forest for credit scoring and classification considering performance metrics such as accuracy, precision and recall, and the overall run time of algorithms. Logistic Regression also performs better in time in a single node HDFS configuration compared to a non-HDFS configuration.
Citation - Scopus: 0
Aluminum accumulation in treatment using submerged membrane electro-bioreactor of young landfill leachate: Statistical analysis
(Environmental Research & Technology (Online), 2020) Kurtoğlu Akkaya, Gülizar; Ayvaz Çavdaroğlu, Nur; Bilgili, Mehmet
Herein, landfill leachate containing high amount of organic matter, which is quite difficult to treat, was first treated using the new submerged membrane electro-bioreactor (SMEBR) system. Aluminum (Al) electrode was used for the treatment of leachate in the SMEBR and Al accumulation was detected. This study aims to examine Al accumulation in the treatment of leachate with high organic content in the SMEBR system. The Al values obtained were plotted on a graph using MS Excel, and Mann–Whitney U test was used to determine whether there is a statistical difference between the observed Al values. Also, correlations between Al accumulations and conductivity and TOC in SMEBR and SMBR were evaluated. Resultantly, it was found that relationship between Al and conductivity is very weak, correlation between Al and TOC% is a weak-moderate, the Al accumulation in the SEMBR has a linear relationship with time and there is a very strong correlation between the two variables (R2= 0.7591). Its correlation with time in the SMBR is moderate (R2= 0.3316). MS Excel 2016 and Minitab 16.0 programs were utilized in the statistical analyses.
Citation - Scopus: 23
Analog VLSI Design Automation
(CRC Press, 2003) Balkir,S.; Dündar,G.; Öğrenci,A.S.
The explosive growth and development of the integrated circuit market over the last few years have been mostly limited to the digital VLSI domain. The difficulty of automating the design process in the analog domain, the fact that a general analog design methodology remained undefined, and the poor performance of earlier tools have left the analog. © 2003 by CRC Press LLC.
Citation - WoS: 0
Citation - Scopus: 1
Analysis and Optimization of the Network Throughput in IEEE 802.15.13 based Visible Light Communication Networks
(IEEE, 2021) Baykaş, Tunçer; Elamassie, Mohammed; Baykas, Tuncer; Uysal, Murat
In line with the growing interest on visible light communication (VLC), IEEE has initiated standardization efforts on this emerging technology. In this work, we consider IEEE 802.15.13 Optical Wireless Personal Area Networks (OWPAN) standard draft. The underlying MAC protocol uses contention free and contention access periods. For a standard-compliant VLC network, we analyze the network load and propose an algorithm to improve the network throughput by proper selection of period lengths. Our suggested algorithm improves the network performance by at least 5% in the case of variable network traffic up to 15 active users.
Citation - WoS: 1
Citation - Scopus: 5
Analysis of deep learning based path loss prediction from satellite images
(IEEE, 2021) Baykaş, Tunçer; Ates, Hasan F.; Baykas, Tuncer; Gunturk, Bahadir K.
Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands faster determination of at least major channel parameters. In this paper, we investigate the idea of using deep convolutional neural networks and satellite images for channel parameters (i.e., path loss exponent n and shadowing factor sigma) prediction in a cellular network with aerial base stations. Specifically, we investigate the performance dependency of the method on three different factors: height of the transmitter antenna, quantization levels of the channel parameters and architectural design of CNN. The results presented in this paper show a high prediction accuracy of the channel parameters in real-time.
Citation - Scopus: 2
Analysis of the Effects of Intermodal Terminals for the Solutions of Urban Logistics Problems in Istanbul City
(Springer Science and Business Media B.V., 2016) Görçün, Ömer Faruk
We analyzed the urban logistics problems in Istanbul City, and we tried to show the solutions of these problems thanks to intermodal freight terminals. Istanbul is a center of trade, tourism, and industry; 60 % of total logistics activities take place in Istanbul. At the same time, capacities, infrastructures, and performance of logistics system are affecting the logistics systems and industries of European countries and neighborhoods. However, solving the urban logistics problems have become regional and global ones and especially European countries, industries, and their commercial actors cannot ignore these problems. In addition to urban freight flows, high volume of international and domestic cargo flows causes different problems related to urban logistics. On the other hand, Istanbul has the different logistics nodes as airports, organized industrial zones, business centers, whereas logistics networks and links between nodes are not required level. This study focuses on the logistics nodes, relationships, opportunities and facilities of transportation, and effects of intermodal freight terminals to solving problems of the insufficient connections between these nodes. © Springer International Publishing Switzerland 2016.
Citation - Scopus: 2
Analytical approaches for the amplitude and frequency computations in the astable cellular neural networks with opposite sign templates
(2007) Özmen, Atilla; Özmen, A.
In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x1,2(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign Templates" which was proposed by Zou and Nossek [1], are obtained under oscillation conditions. The mentioned explicit expressions are employed in a cellular neural network based, amplitude and frequency tuneable oscillator design.
Citation - Scopus: 0
Application of fluorescence technique for understanding film formation from polymer latexes and composites
(Elsevier, 2021) Pekcan, Mehmet Önder; Pekcan, Önder
This chapter summarizes the application of fluorescence technique to understand all aspects of film formation using both pure polymer latexes and polymer nanocomposites. Transient fluorescence, steady state fluorescence, and photon transmission techniques were used in conjunction with scanning electron microscopy/atomic force microscopy to learn this process with different latex coatings. Polystyrene latexes and poly(methyl methacrylate) latexes labeled with fluorescence probes (such as pyrene, fluorescein, and naphthalene) were used as the model polymer matrixes. We also introduced theoretical models to describe film formation stage by stage including void closure, healing, and interdiffusion and produced the activation energies related to the process. Furthermore the contributing parameters to the film formation process are identified including annealing time-temperature, solvent vapor, film thickness, particle size, and different filler materials and ratios (clay, TiO2, carbon nanotube, etc.) in both pure latex and composite systems. © 2021 Elsevier B.V. All rights reserved.
Citation - Scopus: 0
Apprenticeship-Type Learning in the Local: Insights from a Cooperative Weaving Practice for Design Education
(Springer Nature, 2023) Öz, Gizem; Timur, Ş.
A growing area in design research concerns learning from local practices and diversifying design’s knowledge space. By understanding and documenting how women in a village in Turkey learn the craft of weaving, this paper reformulates the relationship between the design field and the local context as learning from the local and aims to contributes to the design education field. During the summers of 2017, 2018, and 2019, fieldwork using the participant observation method was conducted in the village. The detailed account of the learning process in this local weaving practice allows us to define this learning as “apprenticeship type learning in the local.” The practice consists of a process in which the forms of learning and teaching are inseparably interwoven with socio-spatial elements. It draws together flexible learning processes where the teaching moments blur and students learn in action in a dialogical exchange through observing and making. During these interactions, the importance of considering the cooperative and social aspects of the learning arises: not only technical knowledge, but also social values and beliefs are transferred in an interdependent process. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - WoS: 79
Citation - Scopus: 95
The association of the severity of obstructive sleep apnea with plasma leptin levels
(Amer Medical Assoc., 2003) Öztürk, Levent; Ünal, Murat; Tamer, Lülüfer; Çelikoğlu, Firuz
Objective: To examine whether circulating leptin levels correlate with the severity of disease in patients with obstructive sleep apnea. Design: Prospective nonrandomized study. Setting: Referral sleep laboratory for patients with sleep-disordered breathing and biochemistry laboratory. Patients: Thirty-two subjects (mean+/-SD age 47+/-12 years) who were referred for suspected sleep apnea underwent an overnight sleep study and fasting morning venous blood sampling. Patients were divided into 3 groups with respect to apnea-hypopnea index: (1) severe sleep apnea (n=8) apnea-hypopnea index greater than 20

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