WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/256

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Empowering Electric Vehicle Adoption: Innovative Strategies for Optimizing Charging Station Placement Based on Projected Demand
(Wiley, 2025) Cekyay, Bora; Kabak, Ozgur; Ozaydin, Ozay; Isik, Mine; Toktas-Palut, Peral; Topcu, Y. Ilker; Ulengin, Fusun
Electric vehicles (EVs) are pivotal for reducing transportation-related emissions; however, the lack of adequate charging infrastructure remains a significant barrier to their widespread adoption. This study presents a comprehensive methodology for optimizing EV charging station placement. It combines a gravity model, scenario analysis, and mixed-integer linear programming (MILP) to ensure a thorough and robust approach. The model aims to maximize accessibility by ensuring both path-level and overall system demand coverage across diverse scenarios, providing reassurance about the validity of the findings. The methodology is tested on the Bursa-& Idot;zmir motorway in Turkey, a strategic intercity route with rapidly growing EV penetration. Results reveal that the optimal configuration involves locating charging stations in seven of the nine service areas. This allocation secures a minimum path coverage ratio of 0.903, meaning 90.3% of the route is covered by charging stations, and an overall demand coverage ratio of 0.935, indicating that 93.5% of total demand is covered across all scenarios. A sensitivity analysis further shows that increasing the network to 45 chargers elevates reachability levels to above 97%, indicating the infrastructure scale required for reliable service quality. The findings underscore the practical applicability of the proposed framework, providing policymakers and infrastructure planners with robust, data-driven guidance for charging network expansion. By integrating demand forecasting with resilient optimization, this study advances both methodological and empirical insights, empowering the audience to make informed decisions for sustainable EV adoption.
The Relational Nature of Punishment: Responses To Close Versus Distant Others' Moral Transgressions
(Sage Publications Inc, 2026) Tepe, Beyza; Faber, Nadira S.
How do people respond when a close other, as opposed to a distant other, commits a moral transgression against a third person? Across five preregistered experiments (total N = 2,170), supplemented by pilot studies, we find that people navigate punishment differently depending on relational closeness: they seek less punishment by authorities (institutional punishment) for close others but impose more punishment by themselves (relational punishment) and are more likely to confront the perpetrator directly (Experiments 1-5). Moreover, transgressions of close others elicit both other-blaming and self-blaming emotions, and they prompt individuals to adopt both victim and perpetrator roles (Experiments 2-5). These effects intensify with increasing relational closeness (Experiment 3) and persist across transgressions of varying moral and criminal severity (Experiment 4).
Techno-Philosophical and Techno-Pedagogical Implications of a Nonformal Technology and Design Education Model to Empower Youth: T3 Foundation's Deneyap Technology Workshops Program
(Springer, 2026) Bulut, Mehmet Akin; Kocoglu, Merve; Bas, Fatma Ruveyda; Gulunay, Oksana; Birgili, Bengi
This mixed-methods analysis explores the DENEYAP Technology Workshops program, launched by the T3 Foundation in 2017, which aims to develop scientific thinking and problem solving at the intersection of teaching technology skills and design thinking among 4th- and 9th- graders through nonformal learning. The study sought to investigate the program's techno-philosophical and techno-pedagogical formation. Data collection involved qualitative interviews with founders (n = 20) and program developers (n = 20). Additionally, to provide a comprehensive understanding of the program from multiple perspectives, lesson plans (n = 11) were analyzed to assess the curriculum, whereas classroom observations (n = 5) offered insights into instructional methods and learner engagement. The findings obtained through theories such as technology, pedagogy and content knowledge; technology philosophy; and design thinking reveal that the harmony between leaders' and instructional teams' visions, and the presence of a solid techno-philosophy in a technology and design education program lead to considerable success; the program's collaboration with official and unofficial institutions provides incalculable benefits; empathizing (needs analysis) stage at design cycle is crucial and yields critical insights; and the program fosters interest and competency in techno-scientific thinking skills among learners. Conversely, indicating areas in need of improvement in the program, continuous trainer professional development is pivotal; infrastructure and material provision are essential, and there is a lack of quality assurance in assessment practices, in other words, the test stage at design cycle. This study of the innovative, practical and skills-based program points to the critical role of nonformal learning in preparing the next generation for a technology-driven future through the intersection of technology and design education immersed in a strong and rigorous techno-philosophical and techno-pedagogical design.
A Comparative Study of Branch-And Algorithms for Vehicle Routing With Time Windows and Waiting Time Costs
(Wiley, 2026) Michelini, Stefano; Kucukaydin, Hande; Arda, Yasemin
Branch-and-price is one of the most commonly used methodologies for solving routing problems. In recent years, several studies have investigated advanced labeling algorithms to solve the related pricing problem, which is usually a variant of the elementary shortest path problem with resource constraints. Such algorithms include efficient techniques such as decremental state space relaxation, ng-route relaxation, and several hybridizations of these two relaxation methods. In this study, we compare the performance of these labeling algorithms in a branch-and-price framework when applied to the vehicle routing problem with time windows and a variant of this problem in which waiting times have a linear cost. For the latter problem, we also propose an appropriate label structure with associated resource extension functions and dominance rules. We perform these comparisons by using a rigorous methodology, which consists of parameterizing several features of these algorithms, obtaining a good parameter configuration for each algorithm, and analyzing the performance of these configurations on benchmark instances. In order to obtain good configurations, we make use of irace, which is a tool for automated parameter tuning, while statistical tests are used for performance comparisons. Our results show that a class of hybrid algorithms with certain features based on ng-route relaxation outperforms all the others.
A Discourse Analysis of Bilateral Water Agreements Between Türkiye and Iraq: Legal Instruments of Water Diplomacy in the Euphrates-Tigris River Basin
(International Environmental Agreements: Politics, Law and Economics, 2026) Güleç, Cansu; Kibaroglu, Aysegul
This study examines the discursive dynamics of bilateral water diplomacy between T & uuml;rkiye and Iraq through a detailed analysis of the legal agreements governing the Euphrates-Tigris (ET) River system. Rather than focusing on the implementation or efficacy of these agreements, the paper investigates how discourse shapes the roles, identities, and power hierarchies of the involved actors over time. Employing a discourse-analytical framework, the research explores how water agreements position actors, embed values, and narrate cooperation in evolving geopolitical contexts. The paper begins with a historical overview of transboundary water relations in the ET basin, emphasizing the prevalence of bilateralism. It then lays out the conceptual and methodological foundations of discourse analysis, drawing on key literature and analytical categories such as presupposition, predication, and subject positioning. The core section applies this framework to four key water agreements between T & uuml;rkiye and Iraq, highlighting thematic shifts and evolving actor roles. A discussion section synthesizes findings through Doty's (1993) discourse model, emphasizing how identities and relations are constructed over time. Finally, the conclusion reflects on the implications of these discursive trends for the future of water diplomacy in the region. The T & uuml;rkiye-Iraq case reveals how bilateral agreements can evolve into discursive tools that align with evolving global water management paradigms, offering politically sensitive basins a transferable approach to linking contested transboundary water issues with more comprehensive and partnership-based water diplomacy.
Seismic Behavior and Design of Reinforced Autoclaved Aerated Concrete Load-Bearing Panel Walls
(Taylor & Francis Ltd, 2026) Ugurlu, Koray; Halici, Omer Faruk; Demir, Cem; Comert, Mustafa; Ilki, Alper
Since the 1970s, numerous low-rise buildings in T & uuml;rkiye constructed with AAC load-bearing panels have withstood devastating earthquakes without significant damage, demonstrating a lightweight yet robust solution for seismic regions. This study investigates the seismic performance of AAC load-bearing panel wall systems through material tests, member-level cyclic in-plane testing, and finite element micro-modeling. The experimental results showed that individual panel behavior initiated at low lateral drift ratios of 0.25-0.50%, accompanied by measurable uplift and rocking at panel bases, with flexure governing failure in two-panel walls and combined flexure and diagonal tension - shear governing failure in four- and six-panel walls. Numerical models exhibited adequate reliability in terms of strength, stiffness, and cumulative energy, when validated against experimental data. The load-bearing capacity in the numerical simulations increased with both the number of panels and higher axial loads, consistent with observed experimental trends. These combined findings were used to determine seismic design factors leading to recommended values of D = 2 for overstrength and R = 4 for structural behavior. Experimental results were compared with corresponding design documents, including ACI 523.4 R and the Turkish Building Earthquake Code (TBEC). The findings indicated that flexure predominantly governed the failure of two-panel walls, while combined flexure and diagonal tension - shear mechanisms governed the failure of four- and six-panel walls. Accordingly, a revised diagonal tension capacity expression is proposed for the seismic design of AAC systems in future versions of TBEC.
To Restore the Dignity of Repair: Care, Architectural Education, and Resistance in a Broken World
(Intellect Ltd, 2026) Yucel, Sebnem
Citation - WoS: 1
Citation - Scopus: 1
Technology-Enhanced "gipsci" Approach in Developing Contexts Performs Well at Interest and Curiosity, Yet, Needs Reinforcing at Inquiry Level
(Routledge Journals, Taylor & Francis Ltd, 2025) Birgili, Bengi; Bulut, Mehmet Akin; Gulunay, Oksana; Kocoglu, Merve; Bas, Fatma Ruveyda
Numerous studies explore inquiry in science centers, but technology-enhanced science centers' (TeSC) curricula remain relatively nascent. This mixed-methods study explores how the GiPSci model, a technology-enhanced science center program developed in-house by curriculum experts, supports learners' inquiry skills aligned with international standards. Data were collected through learners' products (n = 161), lesson observations (n = 20), train-the-trainer activities (n = 405), expert evaluations (n = 14), and interviews with trainers (n = 10). Findings reveal curiosity and interest scored higher than inquiry, highlighting the challenges of inquiry in tech-enhanced settings. Consensus among trainers, observations, and learners' products points to gaps in fostering inquiry skills in the TeSC program. To enhance GiPSci-like models, collaboration among program designers, trainers, and train-the-trainer providers is essential to better align the technology-enhanced science centers' program with inquiry-based learning.
Bisexuals Are Just Greedy!: Developing the Bisexual Myths Scale and Testing Its Preliminary Psychometrics in Heterosexual and Bisexual Plus Samples
(Springer, 2025) Zurnaci, Burcu; Demirtas, Ezgi Toplu
IntroductionBisexual myths refer to misconceptions, prejudices, and stereotypes about bisexuality and the relationships of bisexual+ (bi+) individuals. Research on these myths has been limited, partly due to the absence of a measurement tool. This study aimed to develop and validate the Bisexual Myths Scale (Bisex-M), a standardized instrument for assessing both bisexual myths held by heterosexual individuals and internalized bisexual myths among bisexual individuals.MethodsAcross three independent studies, we evaluated the psychometric properties of the Bisex-M. Study 1 used a predominantly heterosexual sample to conduct an exploratory factor analysis. Studies 2 and 3, using heterosexual and bisexual samples respectively, tested the factor structure through confirmatory factor analyses and examined concurrent validity indicators.ResultsIn Study 1, exploratory factor analysis revealed a two-factor structure consisting of Bisexual Identity (nine items, eigenvalue = 8.995; 59.97% variance) and Bisexual Relationships (six items, eigenvalue = 1.536; 10.24% variance). Participants who had bisexual acquaintances endorsed fewer myths, while religiosity, conservatism, and negative attitudes toward gay and lesbian individuals were positively associated with myth endorsement. The two-factor structure was confirmed in Study 2 using a primarily heterosexual sample and again in Study 3 using an entirely bisexual sample. In Study 3, higher levels of internalized bisexual myths were also associated with increased psychological intimate partner violence perpetration.ConclusionsThe findings suggest that the Bisex-M is a reliable and valid instrument for measuring both externally held bisexual myths within heterosexual samples and internalized bisexual myths among bisexual individuals. The scale demonstrated consistent psychometric strength across diverse samples.Policy ImplicationsThe Bisex-M provides researchers, clinicians, and educators with a practical tool for identifying and addressing myth-related biases. Its use may support interventions aimed at reducing bisexual stigma and inform policies that promote the social and relational well-being of bi+ populations.
Are There Sex Differences in How Social Cohesion and Loneliness Relate To Cognitive Decline in Latinos
(Oxford University Press, 2025) Muniz-Terrera, Graciela; Marroig, Alejandra; Gutierrez, Angela; Tobin, Courtney Thomas; Sevi, Baris
Latinos are the largest minoritized population in the US, and therefore, understanding cognitive decline in this population is paramount. Previous literature has identified exogenous factors, such as social cohesion and endogenous factors, such as loneliness, as associated with cognitive decline in older men and women. To improve our understanding of the role of social cohesion and loneliness on cognitive decline in Latino older adults, we fitted independent linear mixed effects models to cognitive scores from men and women aged 50 and older (n = 2,321) who participated in the Health and Retirement Study (2006 - 2016), accounting for both, social cohesion and loneliness. Models were also adjusted for sociodemographic factors. In men and women, social cohesion was positively associated with baseline cognitive function (p < 0.001), while loneliness was negatively associated with baseline cognitive function (p < 0.001). The effect size of loneliness on baseline cognition in men was 3-fold the effect of social cohesion in men, while in women, it was 2-fold. However, none of these factors were significantly associated with cognitive trajectories over time. These findings highlight the importance of the role of exogenous and endogenous domains of the exposome in cognitive function among Latino adults. Health promotion initiatives should focus on implementing culturally appropriate strategies that enhance social cohesion within neighborhoods and help reduce feelings of loneliness.
Neighborhood and Psychosocial Predictors of Cognitive Function Among Latinos in the United States
(Oxford University Press, 2025) Gutierrez, Angela; Marroig, Alejandra; Tobin, Courtney Thomas; Aranda, Maria; Camacho, David; Thorpe, Roland; Muniz-Terrera, Graciela; Sevi, Barış
Quality of Government Cohesion Across EU Regions: Success or Failure
(Routledge Journals, Taylor & Francis Ltd, 2026) Karahasan, Burhan Can
Regional differences in institutions is a threat for political and economic integration. In this paper, we analyse the institutional convergence across regions of the European Union (EU). Preliminary results show that there is continuous improvement fostering institutional convergence. However, heterogeneity analyses point-out that the speed of institutional development is influenced by the enlargement phases of the union. Additional results indicate that the regions of the Central and Eastern European (CEE) countries and the southern regions belonging to Greece and Spain experience faster institutional convergence. Accordingly, the enlargement process, fostering further heterogeneity, is an important element to improve the institutional quality of the new EU members. However, temporal convergence trends show that the dynamics of institutional convergence shift over time, reflecting the non-stationary evolution of success-failure cases.
Mice Extrapolate Temporal Information Based on Previously Learned Spatiotemporal Mappings: An Asymmetrical Case
(Springer, 2026) Gur, Ezgi; Duyan, Yalcin A.; Toptas, Pinar; Balci, Fuat
One of the computational affordances of isomorphic magnitude representations is the extrapolation of temporal information based on previously experienced spatiotemporal pairings. We initially trained mice on the association of two intervals (10 s and 30 s) with two hoppers (H2 and H4, counterbalanced) in a five-choice nose-poke box with the following setup. One of the three novel hoppers (H1) neighbored H2 only, the other novel hopper (H5) neighbored H4 only, and the third novel hopper (H3) neighbored H2 and H4 (H1Novel -> H2Trained -> H3Novel -> H4Trained -> H5Novel). During test trials, one of the five hoppers was illuminated. We estimated the trial time at which the anticipatory response rate was maximal (peak time) separately for each hopper. Mice extrapolated temporal information only in a forward fashion; the peak time for H5 was longer than that for H4. Mice did not extrapolate temporal information backward; the timed response curves in H1 and H3 were closely similar to those in H2. Thus, our findings suggest that mice can extrapolate temporal information, but also indicate that the computations underlying this process are directionally constrained. We discuss the possible reasons behind asymmetrical extrapolation.
Increasing and Other Subsequence Problems for Random Interval Sequences
(Elsevier, 2026) Arslan, Ilker; Islak, Umit
Various relations for comparison of intervals of real numbers are introduced, and the expected length of the corresponding longest increasing subsequence is analyzed. When intervals are randomly generated by taking the minimum and maximum of two independent uniform random variables, we prove that the expected length of the longest increasing subsequence grows on root the order of 3 n. We also investigate the asymptotic behavior of the expected length under alternative comparison relations and random interval models. Discussions on other subsequence problems for interval sequences are included.
Powder Metallurgical Synthesis, Thermochemical Calculations and Characterization Studies of HfB2 Powders
(Springer India, 2025) Akbari, Amir; Suzer-Cicek, Ilayda; Mertdinc-Ulkuseven, Siddika; Gokce, Hasan; Ovecoglu, M. Lutfi; Agaogullari, Duygu
This study reports on the thermochemical calculations, mechanochemical synthesis, purification process, and characterization studies of the HfB2 powders by using native sources. Firstly, HfO2, native B2O3, and Mg starting powders were prepared with a multi-axial vibratory ball mill (NanoMultimix) in stoichiometric and excess amounts. The milling process was optimized by varying the time (2, 4, 6, 8, 10, 12 h). Then, unwanted by-products (HfO2, MgO) were removed by leaching with 4 and 6 M HCl. Phase and Rietveld analysis, microstructure investigations with scanning electron microscopy/energy dispersion spectroscopy and transmission electron microscopy, and particle size measurement were conducted. The purest HfB2 was obtained in the powders milled for 8 h in stoichiometric ratios and leached with 6 M HCl. The resulting optimum powder has an average particle size of 135 nm. Oxidation kinetics (500, 600, 700, 800, and 900 degrees C) were also investigated. As the temperature increased, the amount of oxidation increased based on the TG result. As a result of the characterization studies, the synthesis of single-phase, high-purity HfB2 was achieved using domestic resources.
Gender Differences in Cyber Dating Violence Among Adolescents and Young Adults: A Systematic Review and Meta-Analysis
(Wiley, 2025) Erbicer, Eyup Sabir; Metin, Ahmet; Zencir, Tolga; Boranli, Ece Nur; Demirtas, Ezgi Toplu; Sen, Sedat
Despite the growing body of research on cyber dating violence, a comprehensive understanding of gender differences in cyber-violent behaviors across developmental stages remains limited. The main purpose of this meta-analytic review was to estimate the direction and magnitude of gender differences in cyber dating violence perpetration and victimization by synthesizing results from various studies. The second purpose of this study was to examine the effect of potential moderators (i.e., continent, age, grade level, time frame, method of survey administration, the metric of the outcome, study design, publication status, and publication year) on these differences. Various databases were used to identify relevant studies, including PubMed, Web of Science (WoS), Scopus, PsycINFO, ERIC, and ProQuest. Eighty-one individual studies with a total sample of 70,233 participants, ranging in age from 10 to 30 years (M = 18.94), were included based on the inclusion and exclusion criteria in the present study. Most studies were conducted in North America and Europe with the largest proportions from the United States and Spain. Results indicated that there were no statistically significant gender differences (women vs. men; girls vs. boys) in perpetration and victimization of cyber dating violence. Moderator analyses showed that grade level and sample age were statistically significant moderators of gender differences in cyber dating violence victimization. However, other moderators (continent, time frame, method of survey administration, the metric of the outcome, study design, publication status, and publication year) were not statistically significant. This study contributes to understanding gender differences in cyber-violent behaviors during adolescence and emerging adulthood and highlights the importance of some moderators when developing targeted prevention and intervention strategies.
Solving Baer Wave Equation Reduced To Three-Parameter Eigenvalue Problem by Dynamic Thread-Based Computing
(Springer, 2026) Özer, H.Ü.; Tuncel, M.; Duran, A.; Duran, F.S.
Real-time computation of eigenvalues is valuable in science and engineering. This is possible via memory-efficient, scalable, robust, and high-performance algorithms when we take advantage of supercomputing. Baer wave equation arises from applying the separation of variables to the Helmholtz equation. When the Baer wave equation is discretized, a three-parameter eigenvalue problem is obtained. In this study, we consider the computationally challenging problem of finding eigenvalue tuples in a three-parameter eigenvalue problem reduced from the Baer wave equation. We solve this problem using a fused parameter optimization algorithm by implementing a dynamic thread-based computation in C and MATLAB. We achieved scaled speed-up for the dense coefficient matrices of the problem from the Baer wave equation to run up to 64 threads in our C implementation. To the best of our knowledge, this is the first study to solve the three-parameter eigenvalue problem using parallel thread-based computing. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
How Does Type of Moral Responsibility Affect the Extent of the Moral Circle? The Influence of Relational Models
(Sage Publications Inc, 2025) Sunar, Diane; Cesur, Sevim; Tepe, Beyza; Piyale, Zeynep Ecem; Hill, Charles T.
The "moral circle" defines entities toward which a person feels moral responsibility. Relational Models Theory (RMT) proposes four basic relational models (communal sharing, authority ranking, equality matching, and market pricing), each with distinct moral motivations. This study applies RMT to define different types of moral responsibility: caring, guiding, obeying/deferring, ensuring equality, or equity. We proposed that the type of moral responsibility may alter a judge's rating of degree of responsibility, affecting the entity's placement within the moral circle. Linear mixed model analyses of responsibility ratings toward various human and other targets across six closeness levels confirmed that relational models significantly affected felt responsibility ratings. Specifically, asking about Equality Matching responsibility (assuring equal rights and treatment) led to higher moral responsibility ratings than other definitions (Communal Sharing, Authority Ranking, Market Pricing), even for negatively judged targets like rapists. The two cultures tested (US and T & uuml;rkiye) differed in average responsibility ratings for various targets, but culture did not interact with Relational Models. Differences in moral inclusiveness are interpreted through relational model characteristics, such as boundedness and rule orientation. In addition to individual, situational, cultural differences, relational models between judge and target also affect extent of the moral circle.
Citation - WoS: 1
Evaluating Large Language Models in Data Generation for Low-Resource Scenarios: A Case Study on Question Answering
(International Speech Communication Association, 2025) Arisoy, Ebru; Menevse, Merve Unlu; Manav, Yusufcan; Ozgur, Arzucan
Large Language Models (LLMs) are powerful tools for generating synthetic data, offering a promising solution to data scarcity in low-resource scenarios. This study evaluates the effectiveness of LLMs in generating question-answer pairs to enhance the performance of question answering (QA) models trained with limited annotated data. While synthetic data generation has been widely explored for text-based QA, its impact on spoken QA remains underexplored. We specifically investigate the role of LLM-generated data in improving spoken QA models, showing performance gains across both text-based and spoken QA tasks. Experimental results on subsets of the SQuAD, Spoken SQuAD, and a Turkish spoken QA dataset demonstrate significant relative F1 score improvements of 7.8%, 7.0%, and 2.7%, respectively, over models trained solely on restricted human-annotated data. Furthermore, our findings highlight the robustness of LLM-generated data in spoken QA settings, even in the presence of noise.
Methane Emissions Forecasting Using Hybrid Quantum-Classical Deep Learning Models: Case Study of North Africa
(Springer, 2025) Belkadi, Widad Hassina; Drias, Yassine; Drias, Habiba; Ferkous, Sarah; Khemissi, Maroua
This study explores climate change by predicting methane emissions in North Africa using classical and quantum deep learning methods. Using data from Sentinel-5P, we developed hybrid quantum-classical models, such as quantum long short-term memory (QLSTM) and quantum-gated recurrent unit networks (QGRUs), along with a novel hybrid architecture combining quantum convolutional neural networks (QCNNs) with LSTM and GRU, namely QCNN-LSTM and QCNN-GRU. The results show that these quantum models, especially the proposed hybrid architectures, outperform classical models by approximately seven percent in root-mean-squared error with fewer training epochs. These findings highlight the potential of quantum methodologies for enhancing environmental monitoring accuracy. Future research will aim to refine model performance, incorporate explainable AI techniques, and expand to forecasting other greenhouse gases, contributing to climate change mitigation efforts.

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