WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12469/4465

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Editorial Boards of Finance Journals: The Gender Gap and Social Networks
(Springer, 2025) Bedowska-Sojka, Barbara; Tarantola, Claudia; Mare, Codruta; Paccagnini, Alessia; Ozturkkal, Belma; Pisoni, Galena; Skaftadotti, Hanna Kristin
We investigate gender disparities and network linkages among editors of Finance journals at the end of 2022. The role of journal editors in shaping academic disciplines is crucial, yet gender imbalances and the geographic concentration of editors remain poorly understood. Ethical considerations arise when examining the representation of women on editorial boards, as these imbalances can impact academic equity and the diversity of perspectives. We examine the gender composition of editorial boards and uncover the network structures among editors, seeking to shed light on the concentration of editorial power and its implications for diversity and inclusion. Our findings reveal that women account for an average of 20% of all editors, with notable variations across countries. Additionally, editorial affiliations are heavily concentrated in the United States and the United Kingdom. Through typological metrics, we identify highly connected editors with significant board memberships. While gender ratios remain consistent in substructures involving highly central editors or those serving on multiple boards, men consistently outnumber women.
A Nano-Scale Quantum-Dot Multiplexer Architecture for Logic Units in Internet of Things Healthcare Systems
(Elsevier, 2025) Safoev, Nuriddin; Karimov, Madjit; Ahmadpour, Seyed-Sajad; Zohaib, Muhammad; Tashev, Komil; Ahmed, Suhaib
The Internet of Things (IoT) is a propelling technological shift that enables seamless networking between billions of physical devices across healthcare sectors, agriculture, smart cities, and industrial production lines. By integrating embedded sensors, actuators, and communication modules, IoT systems can gather real-time data, leading to better operational decisions and improved efficiency in healthcare systems. The rapid growth of IoT devices creates three main operational challenges related to power usage, efficiency, and thermal management requirements. The demand for more efficient, compact, high-speed, and energy-efficient devices poses significant challenges for these systems. Traditional complementary metal-oxide-semiconductor (CMOS)-based architectures struggle to meet these demanding requirements, representing a major barrier to the development of reliable and scalable next-generation IoT systems. This research demonstrates Quantum-Dot Cellular Automata (QCA) nanotechnology as an alternative solution because it performs logical operations through electron positioning rather than conventional current flow. This paper proposes a modified version of a QCA-based multiplexer design (MUX) since digital logic systems require these signal routing elements for operation. The fundamental 2:1 MUX is established using QCA cell-interaction principles, and then 4:1 and 8:1 QCA MUXs are designed through hierarchical expansion. The suggested modified MUX devices operate on a compact scale with minimal cells to reduce the occupied area compared to current MUX designs. The research outcomes demonstrate that QCA circuits hold promising potential for creating energy-saving, powerful, and scalable computational platforms for future IoT healthcare systems.
Heritage Geopolitics: Hegemonic Meaning-Making, International Orders, and the Heritagisation of Traditional Archery in Turkey and Beyond
(Cambridge Univ Press, 2025) Hisarlioglu, Fulya; Yanik, Lerna K.
This piece argues that to understand how cultural heritage functions as a form of power at the international level, it is essential to deconstruct the 'productive politics' that surround and shape the material and symbolic spatial formations of heritage and heritagisation. To this aim, by integrating critical accounts on heritage politics, geopolitics, and biopolitics, this piece deconstructs the dynamics of Turkey's heritagisation of traditional Turkish archery (TTA) in Turkey and beyond. We introduce heritage geopolitics as a novel analytical framework to unpack the role of these multiple intertwined scales of spaces in heritagisation and the 'productive politics' behind it. Heritage geopolitics, explained through the heritagisation of TTA, helps to illustrate how heritagisation becomes a multiscalar hegemonic process that shapes various features of the domestic and international orders, from the biopolitical to the geopolitical, attempting to challenge existing narratives of power and moral authority. We demonstrate that heritage geopolitics differs from other uses of heritage in world politics (such as cultural diplomacy, heritage diplomacy, or soft power) by foregrounding the domestic and embodied moral foundations of biopolitical and geopolitical imaginations embedded in the heritagisation processes.
Engineering of Geobacillus Kaustophilus Lipase for Enhanced Catalytic Efficiency and Methanol Tolerance in Biodiesel Production from Sunflower Oil
(Elsevier, 2025) Tulek, Ahmet; Poyraz, Yagmur; Sukur, Gozde; Pacal, Nurettin; Ozdemir, F. Inci; Yildirim, Deniz; Essiz, Sebnem
Lipase-mediated biodiesel production offers a sustainable and environmentally friendly alternative to conventional chemical methods. However, enzyme limitations such as low activity, poor thermal stability, and limited solvent tolerance remain challenges. In this study, a lipase from Geobacillus kaustophilus (Gklip) was engineered for improved biodiesel production using molecular docking, molecular dynamics (MD) simulations, and molecular mechanics/generalized born surface area (MM/GBSA) free energy calculations. Five mutants (Y29S, Q114T, F289D, Q184M, and Q114F) were generated via site-directed mutagenesis and expressed in Escherichia coli. Biochemical characterization revealed that all mutants retained the wild-type's optimal temperature (50 degrees C) and pH (8.0), while showing varying pH ranges, with the broadest observed in Q184M. Thermal stability increased significantly in Q184M (32.86-fold) and Q114F (5.93-fold). Catalytic efficiencies improved by 2.07-, 2.05-, and 2.63-fold in Q184M, F289D, and Y29S, respectively, compared to the wild-type (0.57). In the presence of 60 % methanol, the wild-type retained only 30.4 % activity, while Q184M maintained 67.5 %, highlighting superior solvent tolerance. Biodiesel conversion assays using sunflower oil showed no product formation by the wild-type, whereas Q184M, Q114F, and F289D achieved yields of 58.7 %, 56.3 %, and 49.2 %, respectively. These findings identify Q184M and Q114F as promising enzyme candidates for enzymatic biodiesel production.
Steady-State Entanglement Generation Via Casimir-Polder Interactions
(Nature Portfolio, 2025) Izadyari, Mohsen; Pusuluk, Onur; Sinha, Kanu; Mustecaplioglu, Ozgur E.
We investigate the generation of steady-state entanglement between two atoms resulting from the fluctuation-mediated Casimir-Polder (CP) interactions near a surface. Starting with an initially separable state of the atoms, we analyze the atom-atom entanglement dynamics for atoms placed at distances in the range of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sim 25$$\end{document} nm away from a planar medium, examining the effect of medium properties and geometrical configuration of the atomic dipoles. We show that perfectly conducting and superconducting surfaces yield an optimal steady-state concurrence value of approximately 0.5. Furthermore, although the generated entanglement decreases with medium losses for a metal surface, we identify an optimal distance from the metal surface that assists in entanglement generation by the surface. While fluctuation-mediated interactions are typically considered detrimental to the coherence of quantum systems at nanoscales, our results demonstrate a mechanism for leveraging such interactions for entanglement generation.
Riemannian Manifold Approach for RIS/IOS-Assisted Wireless Networks Design
(IEEE-Inst Electrical Electronics Engineers Inc, 2025) Li, Bin; Guo, Ning; Hu, Yulin; Panayirci, Erdal; Dong, Zhicheng
Reconfigurable Intelligent Surfaces (RIS) and Intelligent Omni-Surfaces (IOS) have emerged as transformative technologies in wireless communications, offering enhanced energy and spectral efficiency. However, the inherent characteristics of RIS/IOS also bring new challenges to the resource allocation design of RIS/IOS-assisted wireless networks, such as the nonconvexity caused by the constant modulus constraint of RIS/IOS phase shift elements and the complexity of jointly designing RIS/IOS phase shifts and base station beamforming. Although existing approaches, such as the max-min algorithm and the alternating optimization algorithm, can address these challenges, they suffer from high computational complexity. This paper systematically analyzes the challenges in the design of RIS/IOS-assisted wireless networks and briefly introduces the principles of Riemannian manifold optimization. To address these complex design challenges, we introduce four pivotal manifolds: the complex circle manifold, sphere manifold, Cholesky manifold, and product manifold, each providing unique solutions for enhancing network performance. Finally, we discuss future research directions for Riemannian manifold methods in the design of RIS/IOS-assisted networks.
Sociospatial Dynamics of Workplace Discrimination Against LGBTI Plus Employees in Turkey: Systemic Implications, Discursive Patterns, and Legal Considerations
(Springer, 2025) Selen, Eser; O'Neil, Mary Lou; Ergun, Reyda
IntroductionDiscrimination against LGBTI+ employees in Turkey is widespread and structurally embedded in the spatial and social organization of the workplace. In this study, we investigate the pervasive discrimination faced by LGBTI+ employees in Turkey's workplaces, focusing on how sociospatial dynamics shape these experiences. We draw from Henri Lefebvre's spatial triad-which conceptualizes space as comprising perceived (physical), conceived (institutional), and lived (experiential) dimensions-we examine how workplace environments reproduce and sustain cisnormativity and heteronormativity.MethodsWe conducted a critical interpretive content analysis of open-ended survey responses from 2695 LGBTI+ employees collected between 2015 and 2020 to uncover multifaceted discrimination across employment stages. This qualitative approach enabled the identification of recurring patterns of discrimination across different stages of employment. Inductive coding revealed three central domains: systemic implications, discursive patterns, and legal considerations.ResultsParticipants reported discrimination throughout all stages of employment, from recruitment to dismissal. Many felt pressure to deploy their identity strategically, often negatively impacting their mental health and job satisfaction. While concealment was a common coping strategy, it often failed to protect individuals from structurally embedded discrimination. The findings show how institutional norms, biased language, and legal shortcomings reinforce systemic exclusion. These dynamics demonstrate how perceived, conceived, and lived spaces converge to create hostile work environments for LGBTI+ individuals.ConclusionsThrough the sociospatial analysis, the study reveals how workplace discrimination against LGBTI+ employees in Turkey is deeply embedded through institutional norms, discriminatory discourses, and legal shortcomings that systematically reinforce cisnormative and heteronormative exclusion. The sociospatial organization of these workplaces creates a paradox where LGBTI+ employees become hypervisible targets of bias while remaining invisible in terms of legal protection, demonstrating how spatial dynamics perpetuate structural discrimination that current legal frameworks cannot adequately address.Policy ImplicationsLegal and institutional reforms are urgently needed to challenge heteronormative and cisnormative workplace structures. Explicit legal protections and inclusive organizational practices must be adopted to ensure equity and safety for LGBTI+ employees.
Evaluating Green Marketing Practices in the Logistics Industry Under Type-2 Neutrosophic Fuzzy Environment
(Elsevier Sci Ltd, 2025) Gorcun, Omer Faruk; Ul Ain, Noor; Kucukonder, Hande; Durmusoglu, Serdar Salih; Uray, Nimet; Tirkolaee, Erfan Babaee
The logistics industry is under increasing pressure to implement Green Marketing (GM) strategies in response to growing environmental concerns and rising stakeholder expectations. Although international organizations and governments encourage the adoption of sustainability, practical decision support tools for executing GM strategies, particularly within logistics Small and Medium-Sized Enterprises (SMEs), remain underdeveloped. This study tries to advance the literature by introducing a novel hybrid Multi-Criteria Decision-Making (MCDM) framework that uniquely integrates Delphi, CRiteria Importance Through Inter-criteria Correlation (CRITIC), and Mixed Aggregation by cOmprehensive Normalization Technique (MACONT) methods with Type-2 Neutrosophic Numbers (T2NNs). Unlike prior fuzzy MCDM studies, this integration simultaneously incorporates subjective and objective weighting, preserves ordinal consistency, and explicitly manages higher-order uncertainty. The model is applied to evaluate the GM performance of logistics SMEs in Turkey, identify key evaluation criteria, and rank firms accordingly. Among the evaluated criteria, "Land usage" and "Investment in reducing greenhouse gas emissions" emerged as the most influential, while "Omsan Logistics" is identified as the top-performing firm in GM practices. The model's reliability is then confirmed through a two-phase sensitivity analysis, demonstrating robustness across different scenarios. The findings of this work provide significant implications for logistics managers, policymakers, and researchers aiming to enhance environmental performance and make informed decisions in complex and ambiguous operational environments.
Flattery and the Misanthrope
(Wiley, 2025) Diken, Bulent; Akcali, Elif; Tuzun, Defne
Molière's Alceste is often discussed with reference to his misanthropic personality, but what he aspires to doing, truth-telling, has received relatively less attention. This is curious especially if we consider that Alceste defines flattery, the opposite of truth-telling, as his main adversary. Indeed, it is Alceste's hatred of flattery that explains his misanthropy, not the other way around. We will first discuss the significance of flattery. Then, we trace the consequences of this idea in the play drawing on Aristophanes, Plato, and Aristotle where they define flattery as a relation to untruth and in opposition to friendship. In Plato's Gorgias, however, a second sense of flattery transpires: distorting ideas and practices through instrumental use. We ask what a reflection on flattery in these two interrelated senses can contribute to our understanding of Molière's comedy. What frames our discussion is the relation between Alceste and Philinte (as a stand-in for the social), on the one hand, and the relation between Alceste and Célimène (as a stand-in for seduction) on the other. Alceste cuts an abject figure in relation to both Philinte and Célimène. We end with a discussion of how Alceste can, for all his abjection, continue to fascinate us.
Novel Designs of Fault-Tolerant Nano-Scale Circuits for Digital Signal Processing Using Quantum Dot Technology
(Elsevier, 2026) Zohaib, Muhammad; Navimipour, Nima Jafari; Aydemir, Mehmet Timur; Ahmadpour, Seyed-Sajad
Digital signal processing (DSP) is a crucial engineering field dedicated to the processing and analysis of digital signals. DSP is particularly significant in critical sectors such as telecommunications, medical imaging, and secure communications, where it demands high accuracy, reliability, and real-time performance. In addition, the fault-tolerant (F-T) Arithmetic and Logic Unit (ALU) provides a fundamental building block of DSP architectures, enabling the accurate implementation of arithmetic and logical functions that are essential for advanced computational tasks. However, traditional ALUs were designed using complementary metal-oxide semiconductors (CMOS) and very large-scale integration (VLSI), which led to several challenges, such as high energy consumption, high occupied area, and slow operating speed. These limitations can be effectively addressed through nanotechnology, specifically quantum-dot cellular automata (QCA), which offers high speed, reduces occupying area, and has low power consumption. Accordingly, this paper proposes a QCA-based ALU circuit for DSP applications. The proposed designs integrate an F-T full adder (FA), a QCA-based multiplexer (MUX), and an ALU circuit to enhance performance and efficiency for DSP applications. The validation and verification of all suggested designs are performed using the simulation tool QCADesigner.
6-Point Tripled Ashkin-Teller Global Phase Diagrams in Two and Three Dimensions
(Elsevier, 2025) Zeynioglu, Deniz Ipek; Berker, A. Nihat
The tripled Ashkin-Teller model including 6-point interactions is solved in d = 2 and 3 by renormalization-group theory that is exact on the hierarchical lattice and approximate on the recently first/second-order-transition improved Migdal-Kadanoff procedure. Five different ordered phases occur in the dimensionally distinct global phase diagrams. 16 different phase diagram cross-sections in the 2-point and 4-point interaction space are obtained, with first-and second-order phase transitions, multiple tricritical points and critical endpoints.
Spin-Glass Phases and Multichaos in the Ashkin-Teller Model
(Pergamon-Elsevier Science Ltd, 2026) Saray, Alican; Berker, A. Nihat
The global phase diagram of the Ashkin-Teller spin glass is calculated in d = 3 spatial dimensions by renormalization-group theory. Depending on the value of the positive or negative four-spin interaction, qualitatively different topologies are found for the spin-glass phase diagram in the usual variables of temperature and fraction of antiferromagnetic nearest-neighbor interactions. Two different spin-glass phases occur. Both spin-glass phases are chaotic. One spin-glass exhibits phase reentrance that is reverse from the reentrances seen in previous spin-glass phase diagrams. Seven different phases: Ferromagnetic and antiferromagnetic, entropic ferromagnetic and entropic antiferromagnetic, spin-glass and entropic spin-glass, and disordered phases occur. The entropic ferromagnetic phase unusually but understandably occurs at temperatures above one spin-glass phase. A random disorder line is identified and no phase transition occurs on this line. Our calculation is exact on the d = 3 hierarchical lattice and Migdal-Kadanoff approximate on the cubic lattice.
Kant on the Ontological Argument for the Existence of God: Why Conceivability Does Not Entail Real Possibility
(MDPI, 2025) Thorpe, Lucas; Thorpe, Zubeyde Karadag
In the ontological argument for the existence of God, Descartes famously argues that the idea of God is the idea of a perfect being. As such, the idea of God must combine all of the perfections. Now, as (necessary) existence is a perfection, God must exist. Leibniz criticized Descartes' argument, pointing out that it rests upon the hidden assumption that God is possible. Leibniz argues, however, that God is really possible because realities cannot oppose one another, and so there could be no real opposition between the perfections. So, at least in the case of God, conceivability entails real possibility. Kant rejects this assumption and insists that the non-contradictoriness of an idea is not an adequate criterion for the real possibility of the object of the idea, for although predicates may be combined in thought to form a concept, this does not entail the properties they indicate may be so combined in reality. For this reason, Kant believes that it is impossible to prove the real possibility of God, and so the ontological argument is not sound. In this paper, I examine Kant's reasons for reaching this conclusion. I pay particular attention to Kant's argument in the Amphiboly, which deals with the concepts of agreement and opposition, and where Kant stresses the importance of the distinction between logical and real opposition. I will argue that this distinction plays a crucial role in Kant's rejection of the ontological argument and rationalist Leibnizian-Wolffian metaphysics in general. I also show how Kant's rejection of the possibility of what he calls the complete determination of a concept in the Ideal of Pure Reason, plays a role in his rejection of the conceivability entails real possibility principle.
Forecasting Critical Economic & Political Events Via Electricity Consumption Patterns in the United States of America and Turkey
(Springernature, 2025) Ozdes, Celik; Ediger, Volkan S.; Eroglu, Deniz
Impacts from natural disasters, government decisions and public's reactions can significantly alter societal daily routines. These effects resonate in systems where individual contributions, such as energy consumption, serve as indirect indicators of societal welfare and living standards. Preparedness for unforeseen events is crucial to enhancing societal well-being. Thus, analysing historical data for unexpected critical transitions and forecasting future occurrences is paramount. Recurrence properties of gross monthly electricity consumption in the United States of America and Turkey are examined, revealing coinciding critical periods with extreme regimes identified by a determinism time series. An ensemble of neural network proxies is then employed to forecast critical periods within a limited time frame, enabling the anticipation of similar occurrences. Validation of this approach demonstrates high predictive performance when measured quantities adequately reflect underlying system dynamics. Predictions based on electricity consumption data suggest potential systemic and socioeconomic crises for both nations within one year, with probabilities, 85% for the US and 32% for Turkey.
Cooperative Mission Planning for Multiple Aerial and Ground Vehicles Based on Evolutionary Computation
(IEEE-Inst Electrical Electronics Engineers Inc, 2025) Eker, A. Harun; Oznigolyan, Masis; Karaagacli, Kemal Faruk; Gokalp, Dogukan; Bickici, Yigit; Stroppa, Fabio
The limited flight endurance of unmanned aerial vehicles (UAVs) necessitates multiple battery replacements to complete long-duration missions. In this paper, we address the cooperative mission planning of multiple UAVs and unmanned ground vehicles (UGVs), where UAVs are tasked with visiting a predetermined set of waypoints, and UGVs act as mobile battery replenishment platforms. The objective is to determine a cooperative mission plan that minimizes the overall mission completion time while respecting UAV flight time constraints. To this end, the mission is decomposed into a set of flight-and-recharge segments, and a genetic algorithm is applied to solve the resulting optimization problem. The proposed approach is evaluated using real-world datasets from three different operational areas. Extensive experiments are conducted to analyze parameter settings and validate the robustness of the method. Simulation results show that the algorithm adapts to variations in mission layout and can efficiently plan large-scale missions with thousands of waypoints, involving multiple UAVs and UGVs. A comparative study demonstrates that the proposed method achieves mission times very close to optimal solutions with a single-robot pair and remains competitive with a theoretical lower bound in multi-robot scenarios.
Structural Characteristics and Political Correlates of Public Opinion on Turkish Engagement With the Syrian Civil War
(Uluslararası İlişkiler Konseyi Derneği, 2025) Canan-Sokullu, Ebru; Aydin, Mustafa; Senyuva, Ozgehan
This study conducts a comprehensive quantitative examination of Turkish public opinion about its foreign and security policies, focusing on policy towards the Syrian civil war. By linking scholarly literature to policy, the paper analyzes structural characteristics and political correlates of foreign policy attitudes and perceptions of using military force in the Turkish public. The empirical analysis reveals that (i) increased soft power activism reduces support for policies favoring military interventions; (ii) the type of militarism affects support for a policy that resorts to cross-border military operations; (iii) foreign policy attitudes towards the war vary depending on the internationalization type; (iv) immigration policies shape support for foreign policy concerning the country-of-origin of immigrants affected by the conflict; (v) public support for foreign policy actions is contingent upon the level of knowledge on political matters; and (vi) on the alliance preferences and the self-image. Utilizing a binary logistic regression model, the study employs 2019 Turkish Foreign Policy Trends data, encompassing a wide range of foreign policy indicators on structural characteristics and political correlates of foreign policy attitudes in Turkey and a comprehensive set of indicators on the Syrian conflict. The findings contribute to the theoretical and practical understanding of the problem under examination, with implications for international relations and foreign policy policymaking.
Signaling Shaped by the Context: Early-Stage Funding in the Turkish Startup Ecosystem
(Sciendo, 2025) Topaler, Basak; Khan, Hamza
Providers of early-stage financing tend to be highly selective due to significant uncertainty surrounding the future potential of new businesses. Since these ventures typically lack established performance records, potential investors focus on observable qualities of the founder as signals of the venture's viability and chances for success in the market. Despite extensive research on new venture signaling and financing, the impact of context on investors' decision-making has not been thoroughly explored. This oversight is significant because both firm performance and investor decision-making are influenced by economic, social, and institutional contexts. This study aims to address this gap in the literature by identifying sector-level, entrepreneurial ecosystem-level, and economy-level factors that serve as contextual influences on new venture signaling. We examine early-stage angel and venture capital investments in Turkey, which is an emerging economy with a thriving entrepreneurial ecosystem. Our results on the sample of 2,231 startups show that returnee founders are more likely to obtain early-stage financing than local entrepreneurs, and investors tend to hold particularly favorable views of returnee entrepreneurs in high-tech industries. Moreover, the likelihood of securing investment increases with the diversity of the founder's prior work experience, a trend that has been amplified during the heightened turbulence caused by the COVID-19 pandemic. Finally, investors' evaluations of female entrepreneurs slightly improve as women-led startups become more prevalent in the ecosystem and gain legitimacy. These findings indicate that finance providers have a significantly broad attention span for context-specific influences, and their decisions are shaped by both rational and socio-cognitive processes.
Assessing the Renewable Energy Sources for Sustainable Energy Generation Systems: Interval-Valued Q-Rung Orthopair Fuzzy SWARA-TOPSIS
(Pergamon-Elsevier Science Ltd, 2026) Gorcun, Omer Faruk; Aytekin, Ahmet; Korucuk, Selcuk; Tirkolaee, Erfan Babaee
Renewable Energy Sources (RESs) help decarbonize power systems, but selecting among them is a challenging decision problem due to multiple, often conflicting, technical, economic, environmental, and health-related criteria. Consequently, numerous studies in the literature have attempted to address this decision-making issue using objective, subjective, and fuzzy decision-making procedures. However, there are still unaddressed research gaps in the literature, particularly regarding the explicit modeling of expert hesitation and ambiguity in real-world RES selection cases. The current study develops a decision-making model based on Step-wise Weight Assessment Ratio Analysis (SWARA) and Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) methods integrated with Interval-Valued q-Rung Orthopair Fuzzy Sets (IV-q-ROFSs) to fill these gaps. Unlike previous studies that have predominantly applied conventional fuzzy MCDM techniques, our model introduces the first integration of IV-q-ROFS into RES selection. This novelty enables a more accurate representation of expert hesitation and uncertainty. The study is applied to a real industrial case in Turkey, where six RES alternatives are evaluated across 43 criteria by five senior experts under the supervision of a three-member professionals' board. Furthermore, the structured robustness check and systematic literature mapping ensure that the proposed approach is methodologically robust and practically relevant for policymakers and energy planners. The application results of the developed model demonstrate that the estimated energy production potential of the RES and the effects of carcinogens generated from utilizing these energy sources are the critical factors influencing the selection of the most appropriate RESs. Solar energy ranked first among the alternatives. The applicability and validity of the developed model are examined by a comprehensive robustness check consisting of tests of sensitivity, comparison, and resilience to the rank reversal problem. Overall, the study provides (i) a novel methodological framework integrating IV-q-ROFS with SWARA and TOPSIS, (ii) empirical evidence from a comprehensive real-world RES selection case, and (iii) policy-relevant insights into the drivers of renewable energy adoption.
Governing Migrant Mobilities in the Aegean Sea: From Moral Rhetoric to Blatant Use of Violence
(SUNY-State Univ New York Press, 2024) Karadag, Sibel; Political Science and International Relations; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has University
In Silico Identification and Evaluation of Antibiofilm Agents to Overcome Drug Resistance in Hepatocellular Carcinoma
(Wiley, 2025) Baltaci, N.; Alisarli, S.; Guven, E. Bilget; 01. Kadir Has University

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