Scopus İndeksli Yayınlar Koleksiyonu

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

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Sustainable Aviation Fuel Supplier Evaluation for Airlines Through Lopcow and Marcos Approaches With Interval-Valued Fuzzy Neutrosophic Information
(Elsevier Ltd, 2025) Ecer,F.; Tanrıverdi,G.; Yaşar,M.; Görçün,Ö.F.
In line with the 2050 net zero emission target, sustainable aviation fuel (SAF) is recognized as one of the most effective decarbonization solutions for the aviation industry, which has been identified among the critical areas for mitigating climate change. However, although sustainability issues and decarbonization have attracted scholars' attention in various terms for the airline industry, we identified some significant theoretical and managerial gaps as follows: (i) the number of studies evaluating sustainable suppliers by airlines via multi-criteria decision-making (MCDM) approaches are very few, (ii) the extant literature has no paper addressing airlines' SAF supplier selection process, and (iii) no widely established criteria set in the literature to evaluate the SAF suppliers for airlines. We propose a novel model for the decision-making process of airlines' sustainable SAF supplier selection, including 39 criteria from 5 aspects considering the triple bottom of sustainability. The proposed model involves the combination of the logarithmic percentage change-driven objective weighting (LOPCOW) and measurement alternatives and ranking according to the compromise solution (MARCOS) approaches' extended forms based on the interval-valued fuzzy neutrosophic numbers (IVFNN). A comprehensive sensitivity and comparison control is further exploited to display the developed framework's robustness and practicality. Our results suggest that airlines prioritize the green initiatives of SAF suppliers over the economic aspect in the process of sustainable SAF supplier selection. We provide some managerial and policy insights for practitioners and policy-makers in the airline industry and some directions for further research. © 2024 Elsevier Ltd
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Effects of Rendering Discrete Force Feedback on the Wrist During Virtual Exploration
(Springer Science and Business Media Deutschland GmbH, 2025) Ercan,S.M.; Adeyemi,A.; Sarac,M.
Relocating the haptic feedback from the fingertip to the wrist is a trendy topic in haptic-assisted virtual interactions, and finding its best practices still requires a lot of research. In this paper, we investigate the perceptual and performance differences while rendering haptic feedback on the wrist in single-bump, discrete force feedback (through custom voice coil actuation of CoWrHap) or continuous force feedback (through linear DC actuation of LAWrHap). We conducted a user study experiment where participants interacted with identical-looking virtual objects with different stiffness properties and identified the ones with a higher stiffness level based on the haptic feedback they received. Our results indicate that participants performed the tasks (i) with higher sensitivity (higher JND), with more confidence (Number of Taps), and with better user experience using LAWrHap compared to using CoWrHap, and (ii) with no difference in terms of task accuracy (PSE), exploration and interaction time between using LAWrHap and CoWrHap. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
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Global Solidarity
(Routledge, 2024) Sevinç,T.
As we grapple with the far-reaching global issues of climate catastrophe, refugee crisis, economic inequalities, environmental destruction, pandemics, and more, the call for global (international) solidarity has never been more urgent. While these issues have significant local implications and necessitate action at the nation-state level, it is widely recognized that their resolution surpasses the capabilities of individual nations. Instead, they demand global cooperation and solidarity. However, the nature, basis, sources, potentials, and conditions of such global solidarity remain largely unexplored. This article aims to fill this gap by critically examining our conceptual alternatives for understanding and fostering global solidarity and proposing an extension of what I term solidarity of associates to a global context. © 2024 Informa UK Limited, trading as Taylor & Francis Group.
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Dilemmas, Pained Frustration, and New Possibilities: Masculinities, Violences, and Disabilities
(Taylor and Francis, 2024) Myrttinen,H.; Sünbüloğlu,N.Y.; Sikweyiya,Y.
Disabled masculinities pose a theoretical and, more importantly, a very visceral, real-life dilemma for many men. This dilemma arises from disability being linked with being reliant on others, feeble and defenceless, yet masculinity is primarily associated with being physically strong, healthy, dominant, and independent. Violence can play an ambiguous role in disabled men’s lives. Some men may have become disabled through their participation and/or exposure to violence, such as in war; men with disabilities may be more exposed to various forms of violence; living with disabilities may lead to violent, negative, ‘coping’ strategies against others and oneself; but disabilities can also lead some men re-assessing their masculinities and adopting more caring ways of being a man. This chapter seeks to explore these dilemmas, vulnerabilities, as well as shifts in masculinities and their links to violence, both amongst men born with disabilities and those who acquired disabilities later in life. It draws mainly on previous work by the authors in four different contexts: Turkey, Kachin State in Myanmar, South African township, and rural areas of Ghana. We thereby cover areas affected by armed conflict and high levels of criminal violence, as well as areas where these are largely absent. © 2024 Taylor and Francis.
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Fuzzy Logic Multicriteria Decision-Making for Broadcast Storm Resolution in Vehicular Ad Hoc Networks
(Wiley, 2024) Heidari, Arash; Jamali, Mohammad Ali Jabraeil; Navimipour, Nima Jafari
In vehicular ad hoc networks (VANETs), the challenge of broadcast storms during data transmission arises due to an exponential increase in message rebroadcasts. This problem is exacerbated by high-speed node movements, frequent topology changes, and repetitive discontinuities within these networks, hindering the development of efficient broadcasting protocols. Addressing this gap, our study introduces a pioneering approach utilizing a novel fuzzy method based on multicriteria decision-making (MCDM) to prioritize vehicles in selecting optimal neighbors for data broadcast. The aim of this work is to propose for VANETs a fuzzy MCDM-based re-broadcasting scheme (FMRBS). This method seeks to eliminate broadcast storms and raise data distribution efficiency. We choose the best vehicles for data transportation by using fuzzy logic. The FMRBS system excelled in many respects over UMB and 802.11-Distance. It decreased end-to-end latency and overhead while increasing packet delivery ratio (PDR) and network performance. By efficiently optimizing data distribution inside VANETs, FMRBS lowers broadcasting traffic and network congestion.
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Investigation and Development of Novel Synthetic Approaches for Synthesis of Euxanthone and Derived Dyes
(Royal Soc Chemistry, 2024) Cetin, M. Mustafa
The historical dye Indian yellow, derived from euxanthic acid formed from 1,7-dihydroxyxanthone (euxanthone) and methyl (tri-O-acetyl-alpha-d-glucopyranosyl bromide) uronate, has significantly influenced the art world due to its vibrant color and unique production process. Studying Indian yellow is important for its historical relevance and impact on various art forms, as well as the challenges in its synthetic production. Herein, this work investigates the synthesis of the two main components, a novel method for obtaining euxanthone, and attempts to produce euxanthic acid and Indian yellow. All key intermediates and desired compounds have successfully been synthesized with good to high isolated yields, and characterized using different analytical and spectroscopic techniques. A proposed mechanism for euxanthone synthesis via 2,6,2 ',5 '-tetramethoxybenzophenone formation is also offered. During this process, 2,7-dihydroxyxanthone has also been synthesized, revealing an equilibration reaction that produced three isomeric tetramethoxybenzophenones, confirmed by both GC/MS and NMR. Following the synthesis of euxanthone and clarification of the equilibration, the production of Indian yellow via euxanthic acid formation has further been explored.
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Türkiye's Relations With/Within Nato: the Ontological Security Dilemmas of Türkiye's Transatlantic Identity
(Sage Publications inc, 2024) Akgul-Acikmese, Sinem; Aksu, Fulya
Since 1952, T & uuml;rkiye's Transatlantic identity has been largely shaped by its NATO membership and interactions with the Allies. During the Cold War, T & uuml;rkiye aligned its national interests and security concerns with NATO, making its membership a central element of its identity. However, starting in the 2000s, T & uuml;rkiye shifted toward a more independent foreign policy, influenced by its new activism and regional ambitions, particularly in the Middle East. This shift has caused tensions with NATO, especially considering T & uuml;rkiye's military interventions in Syria, its purchase of the S-400 missile defense system from Russia, and its reactions to the latest enlargement of NATO. This paper examines T & uuml;rkiye's evolving Transatlantic identity through the lens of ontological security, according to which states act in order to provide continuity in their identities (T & uuml;rkiye's Transatlantic identity) and to prevent any instabilities to feel ontologically secure, which then might create security dilemmas between the protective security cocoons (T & uuml;rkiye's NATO membership) and the crises with other actors (T & uuml;rkiye's clashes with/within NATO). In other words, this paper aims to understand how T & uuml;rkiye's Transatlantic identity is still valued, desired, and reconstructed, despite the security dilemmas of T & uuml;rkiye's contentions with/within the NATO Alliance, from the ontological security perspective.
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The Link Between Early Iconic Gesture Comprehension and Receptive Language
(Wiley, 2024) Dogan, Isil; Ozer, Demet; Aktan-Erciyes, Asli; Furman, Reyhan; Demir-Lira, O. Ece; Ozcaliskan, Seyda; Goksun, Tilbe
Children comprehend iconic gestures relatively later than deictic gestures. Previous research with English-learning children indicated that they could comprehend iconic gestures at 26 months, a pattern whose extension to other languages is not yet known. The present study examined Turkish-learning children's iconic gesture comprehension and its relation to their receptive vocabulary knowledge. Turkish-learning children between the ages of 22- and 30-month-olds (N = 92, M = 25.6 months, SD = 1.6; 51 girls) completed a gesture comprehension task in which they were asked to choose the correct picture that matched the experimenter's speech and iconic gestures. They were also administered a standardized receptive vocabulary test. Children's performance in the gesture comprehension task increased with age, which was also related to their receptive vocabulary knowledge. When children were categorized into younger and older age groups based on the median age (i.e., 26 months-the age at which iconic gesture comprehension was present for English-learning children), only the older group performed at chance level in the task. At the same time, receptive vocabulary was positively related to gesture comprehension for younger but not older children. These findings suggest a shift in iconic gesture comprehension at around 26 months and indicate a possible link between receptive vocabulary knowledge and iconic gesture comprehension, particularly for children younger than 26 months.
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Editorial: Compartmental Models for Social Interactions
(Frontiers Media Sa, 2024) Bilge, Ayse Humeyra; Peker-Dobie, Ayse; Severin, Irina; Piqueira, Jose Roberto Castilho; Bellingeri, Michele; Prodanov, Dimiter
[No Abstract Available]
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Anatolia - Unveiling Its Multidisciplinary Landscape and Future Orientations
(Routledge Journals, Taylor & Francis Ltd, 2024) Kaurav, Rahul Pratap Singh; Singhania, Shubham; Kozak, Metin
Using methods such as Latent Dirichlet Allocation (LDA) and content analysis, this paper does a comprehensive analysis of Anatolia's contributions to tourism and hospitality research over the last 27 years, analyzing publishing trends, regional distribution, and topic evolution. The results show a significant increase in worldwide contributions, covering 92 nations, and an interdisciplinary strategy in line with the UN Sustainable Development Goal (UNSDG) 11. Important subject clusters are identified by the study, underscoring the journal's growing influence and its part in determining the course of future research. Through the identification of emergent topics, the study highlights Anatolia's engagement in varied topics and offers a strategic framework for future research.
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An Eco-Decolonial Narrative: Toward a Dividual Self and Slow Wit(h)nessing in Yvonne Adhiambo Owuor's the Dragonfly Sea
(Routledge Journals, Taylor & Francis Ltd, 2024) Ibrisim, Deniz Gundogan
This article focuses on the Kenyan novelist Yvonne Adhiambo Owuor's The Dragonfly Sea (2019) and examines how dividuality as an eco-decolonial move is manifested in the novel. Dividuality, as I argue, derives from an ecodecolonial approach and challenges the human-nature dualism, and at the same time extends the Western-oriented, enlightened image of a firmly insular person into a less bounded and porous presence comprised of both human and nonhuman forces. From this vantage point, this article claims that the notion of the dividual in Owuor's text helps us imagine the act of witnessing beyond European and Western thought with regard to being in the world, history, memory, and environment at large. Witnessing, as perceived in this article, is recognised as a mode of being in the world from an everyday perspective, be it individual, political, social, or environmental. In this way, The Dragonfly Sea, gestures toward what I call "slow wit(h)nessing" in this study as an open-ended and permeable act which is significantly constituted by slow and entangled interactions and exchanges among humans, animals, plants, seascapes, landscapes, matter, and spirits through transoceanic experiences in Kenya, China, and Turkey. This article draws from and builds on the theories of dividual personhood from McKim Marriott's seminal work on Indian cultural material analysis to Marylin Strathern's innovative Melanesian ethnography as well as Bracha Ettinger's inspiring study on the collapse of boundaries between the "I" and the Other.
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Pious People, Patronage Jobs, and the Labor Market: Turkey Under Erdoğan's Akp
(Springer, 2024) Oyvat, Cem; Tekguc, Hasan; Yagci, Alper H.
In fragmented societies, electoral competition often entails using public office to advance group interests. Using individual-level polling data from 2012 to 2018, we analyze whether age cohorts entering the labor market before and after the religiously conservative Justice and Development Party (AKP) assumed power in Turkey experienced different public employment outcomes based on their religion and religiosity. Our analysis reveals that under the AKP rule, pious Sunnis (who constitute a large part of the society) significantly increased their presence in public sector employment (notably among women) and in high-status private jobs (notably among men). Furthermore, the subset of highly religious Sunnis (only 9.3% of the population) improved their likelihood of being employed in the public sector compared to other pious Sunnis and everyone else. Our findings are likely to be driven by the lifting of the headscarf ban in public employment and AKP's strategic use of public employment and resources to reward like-minded groups in both the public and private spheres.
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Enhancing Solar Convection Analysis With Multi-Core Processors and Gpus
(Wiley, 2024) Heidari, Arash; Amiri, Zahra; Jamali, Mohammad Ali Jabraeil; Navimipour, Nima Jafari
In the realm of astrophysical numerical calculations, the demand for enhanced computing power is imperative. The time-consuming nature of calculations, particularly in the domain of solar convection, poses a significant challenge for Astrophysicists seeking to analyze new data efficiently. Because they let different kinds of data be worked on separately, parallel algorithms are a good way to speed up this kind of work. A lot of this study is about how to use both multi-core computers and GPUs to do math work about solar energy at the same time. Cutting down on the time it takes to work with data is the main goal. This way, new data can be looked at more quickly and without having to practice for a long time. It works well when you do things in parallel, especially when you use GPUs for 3D tasks, which speeds up the work a lot. This is proof of how important it is to adjust the parallelization methods based on the size of the numbers. But for 2D math, computers with more than one core work better. The results not only fix bugs in models of solar convection, but they also show that speed changes a little based on the gear and how it is processed.
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'let the Black Sea Unite Us': the 1967 Soviet-Turkish Industrial Agreement and Ankara's Cold War Rapprochement With Moscow
(Routledge Journals, Taylor & Francis Ltd, 2024) Isci, Onur; Hirst, Samuel J.; Bayraktar, Orhun
This article explores a turning point in Soviet-Turkish relations during the Cold War: the 1967 interstate agreement that enabled construction of the backbone of Turkey's post-war state-owned industry, including the petroleum refinery in Alia & gbreve;a, the steel plant in & Idot;skenderun, and the aluminium plant in Seydi & scedil;ehir. It shows that Turkish leaders were not unusual in their balancing of Western and Soviet aid, nor in their attempt to use state intervention to overcome underdevelopment. During the 1950s and 1960s, Jawaharlal Nehru and Gamal Abdel Nasser employed similar tactics for similar ends. What was indeed unusual, was that Turkey was the only NATO member to receive such significant Soviet industrial aid. To explore the Soviet approach and the Turkish response, the article uses recently declassified records from the Russian State Archive of Contemporary History (RGANI) and the Turkish state archives (BCA).
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Mathematical Foundations and Implementation of Coniks Key Transparency
(Mdpi, 2024) Mollakuqe, Elissa; Dag, Hasan; Dimitrova, Vesna
This research paper explores the CONIKS key management system's security and efficiency, a system designed to ensure transparency and privacy in cryptographic operations. We conducted a comprehensive analysis of the underlying mathematical principles, focusing on cryptographic hash functions and digital signature schemes, and their implementation in the CONIKS model. Through the use of Merkle trees, we verified the integrity of the system, while zero-knowledge proofs were utilized to ensure the confidentiality of key bindings. We conducted experimental evaluations to measure the performance of cryptographic operations like key generation, signing, and verification with varying key sizes and compared the results against theoretical expectations. Our findings demonstrate that the system performs as predicted by cryptographic theory, with only minor deviations in computational time complexities. The analysis also reveals significant trade-offs between security and efficiency, particularly when larger key sizes are used. These results confirm that the CONIKS system offers a robust framework for secure and efficient key management, highlighting its potential for real-world applications in secure communication systems.
Securereg: Combining Nlp and Mlp for Enhanced Detection of Malicious Domain Name Registrations
(Institute of Electrical and Electronics Engineers Inc., 2024) Colhak,F.; Ecevit,M.I.; Dag,H.; Creutzburg,R.; 0
The escalating landscape of cyber threats, charac-terized by the registration of thousands of new domains daily for lar ge-scale Inter net attacks such as spam, phishing, and drive-by downloads, underscor es the imperati ve for innovative detection methodologies. This paper introduces a cutting-edge approach for identifying suspicious domains at the onset of the registration process. The accompanying data pipeline generates crucial featur es by comparing new domains to register ed do-mains, emphasizing the crucial similarity score. The proposed system analyzes semantic and numerical attrib utes by leveraging a novel combination of Natural Language Processing (NLP) techniques, including a pretrained CANINE model and Multilayer Perceptr on (MLP) models, providing a robust solution for early threat detection. This integrated Pretrained NLP (CANINE) + MLP model showcases the outstanding perf ormance, surpassing both individual pretrained NLP models and standalone MLP models. With an PI score of 84.86% and an accuracy of 84.95%on the SecureReg dataset, it effecti vely detects malicious domain registrations. The finding demonstrate the effecti veness of the integrated appr oach and contrib ute to the ongoing efforts to develop proactive strategies to mitigate the risks associated with illicit online activities through the ear ly identificatio of suspicious domain registrations. © 2024 IEEE.
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Evaluating the Financial Credibility of Third-Party Logistic Providers Through a Novel Frank Operators-Driven Group Decision-Making Model With Dual Hesitant Linguistic Q-rung Orthopair Fuzzy Information
(Pergamon-elsevier Science Ltd, 2025) Sarkar, Arun; Gorcun, Omer Faruk; Ecer, Fatih; Senapati, Tapan; Kucukonder, Hande
In the relevant literature, there is no study dealing with the financial credibility of third-party logistic providers with the help of decision-making frames. Further, there are no criteria to evaluate the third-party logistics providers' creditworthiness in practice, and decision-makers in the banks consider their judgments and experiences to assess the demand of the logistics firms. This study proposes a multi-criteria group decision-making framework through a dual hesitant linguistic q-rung orthopair fuzzy (DHLq-ROF) set to manage uncertainties more effectively and make a theoretical contribution to the academic literature. For ranking, the score function and accuracy function are defined. Additionally, some novel operational laws based on Frank t-norms and t-conorms are defined for DHLq-ROF numbers. A wide range of generalized aggregation operators, such as DHLqROF Frank weighted averaging, DHLq-ROF Frank weighted geometric, DHLq-ROF Frank generalized weighted averaging, and DHLq-ROF Frank generalized weighted geometric operators, are also investigated. Beyond that, several prominent characteristics of the proposed operators are studied. It is applied to a financial credibility problem for a multinational organization to demonstrate the introduced model's applicability. Considering the results obtained regarding the importance of the criteria, the most crucial criterion is market indebtedness, followed by fleet vehicle structure and current rate criteria, respectively. The results indicate that UPS, Kuhne & Nagel and DHL Deutsche Post are the best third-party logistic providers. The sensitivity analysis shows that the framework possesses favourable flexibility and effectiveness. Thanks to the framework's ability to produce practical solutions to challenging decision-making problems, it can be reliably preferred in engineering and other fields.
Citation Count: 0
Splitout: Out-Of Training-Hijacking Detection in Split Learning Via Outlier Detection
(Springer-verlag Singapore Pte Ltd, 2025) Erdogan, Ege; Teksen, Unat; Celiktenyildiz, M. Salih; Kupcu, Alptekin; Cicek, A. Erciment
Split learning enables efficient and privacy-aware training of a deep neural network by splitting a neural network so that the clients (data holders) compute the first layers and only share the intermediate output with the central compute-heavy server. This paradigm introduces a new attack medium in which the server has full control over what the client models learn, which has already been exploited to infer the private data of clients and to implement backdoors in the client models. Although previous work has shown that clients can successfully detect such training-hijacking attacks, the proposed methods rely on heuristics, require tuning of many hyperparameters, and do not fully utilize the clients' capabilities. In this work, we show that given modest assumptions regarding the clients' compute capabilities, an out-of-the-box outlier detection method can be used to detect existing training-hijacking attacks with almost-zero false positive rates. We conclude through experiments on different tasks that the simplicity of our approach we name SplitOut makes it a more viable and reliable alternative compared to the earlier detection methods.
Art and Collective Healing Sarkis Zabunyan and the Politics of Denial
(Duke University Press, 2024) Aslan,N.T.
Sarkis Zabunyan, one of the prominent figures in Turkish contemporary art, was selected to represent the Turkish pavilion in the Venice Biennale in 2015. Since 2015 was the centennial of the Armenian Genocide, a genocide that has not been recognized by the Turkish Republic for more than a hundred years, and Sarkis being an Istanbul Armenian born and raised in Turkey, the selection caused quite a stir and sparked a public discussion on art and collective healing when it was announced. As a result, the catalog of Sarkis’s work Respiro was subjected to censorship. Through this censorship case, this article scrutinizes various reconciliation discourses developed in Turkey in the early 2000s regarding the Armenian Genocide and how contemporary art could possibly engage/disengage with those discourses. © 2024 Duke University Press.
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Reducing Consumer-Brand Incongruity Through Corporate Social Responsibility and Brand Trust: Exploring Negative Word-Of (nwom)
(Wiley, 2024) Tosun, Petek; Cagliyor, Sandy Ipeker; Gurce, Merve Yanar
Drawing upon consumer-brand disidentification theory and balance theory, this study examines symbolic and ideological incongruity in consumer-brand relationships through an original conceptual model shaped by negative past experiences, brand trust, perceived corporate social responsibility (CSR), and negative word-of-mouth (NWOM). A preliminary study was conducted to explore the dimensions of consumers' negative past experiences by topic detection. Latent Dirichlet allocation (LDA) topic modeling was undertaken to analyze online consumer reviews (n = 6095) about a coffee chain brand. The dimensions detected in this preliminary study were included in the research model and further analyzed in the main study. The main study, a cross-sectional consumer survey (n = 522), tested the original research model by way of partial least squares structural equation modeling (PLS-SEM) on SmartPLS. The findings showed that negative past experiences consisted of product-related, service-related, and technology-related problems and negatively influenced brand trust. It was found that brand trust and perceived CSR negatively affected symbolic and ideological incongruity, while symbolic and ideological incongruity positively influenced NWOM. The findings provide empirical evidence for balance theory by showing that the three critical domains of consumer-brand relationships (ideological, symbolic, and experiential) provide a complex cognitive model that covers personal-symbolic and moral-societal aspects of consumer-brand disidentification and consequent NWOM intentions. In line with consumer-brand disidentification theory, the results contribute to the literature by demonstrating the direct negative impacts of brand trust and perceived CSR on symbolic and ideological incongruity, as well as the direct positive impacts of symbolic and ideological incongruity on NWOM.

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