WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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

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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
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.
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.
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.
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.
Big-5 Personality Traits as Predictors of Allostatic Load in Latino Americans: A Longitudinal Study
(Oxford Univ Press Inc, 2025) Sevi, Baris; Supiyev, Adil; Gutierrez, Angela; Graham, Eileen K.; Mroczek, Daniel K.; Muniz-Terrera, Graciela
Objectives Allostatic load (AL) refers to the measure of cumulative wear and tear resulting from chronic stress and life events. AL presents adverse consequences for a diverse range of health conditions, and Latino populations show a high risk for elevated AL. This study aimed to test the Big-5 personality traits as possible predictors of AL in Latinos.Methods Using data from the Health and Retirement Study, we examined the Big-5 and AL connection through three time points in 8 years (Time 1 = 2006/2008; Time 2 = 2010/2012; Time 3 = 2014/2016). Only self-identified Latinos were included in the analysis sample (N = 319). Big-5 and demographics were obtained at baseline, and AL scores were computed for each time point.Results First, separate longitudinal linear mixed-effect models examined the effects of each Big-5 personality trait on AL change over time, then a fully adjusted longitudinal linear mixed-effect model was tested entering the Big-5 personality traits simultaneously. All models controlled for sociodemographic factors. Conscientiousness emerged as the only consistent significant predictor, for the separate and the simultaneous models. In baseline associations, higher conscientiousness was associated with lower AL. For predicting change in AL over time, none of the personality traits had significant associations in any of the models.Discussion The findings bolster prior evidence that conscientious can be a protective factor against elevated AL. Conscientiousness is a possible protective factor and improving related traits can be a path to achieve better health in Latino Americans.
Moral Framing Effects on Environmental Attitudes: A Conceptual Replication and Extension of Feinberg and Willer (2013)
(Academic Press Ltd- Elsevier Science Ltd, 2025) Cavdar, Dilara; Tepe, Beyza; Saribay, S. Adil; Yilmaz, Onurcan
This study investigates the relationship between moral framing, political orientation, and pro-environmental attitudes, replicating and extending Feinberg and Willer (2013) in a non-Western context. Using a Turkish-speaking sample (N = 699), we examined the effectiveness of care and sanctity-framed messages and the moderating role of actively open-minded thinking (AOT). Our findings partially replicated the original study. Sanctity framing increased pro-environmental attitudes among conservatives, while care framing had no significant effect. Political conservatism was negatively associated with pro-environmental attitudes, confirming prior findings. Exploratory analyses revealed that AOT moderated the effects of sanctity framing on environmental attitudes, with individuals low or moderate in AOT being more responsive. Both care and sanctity frames increased environmental donation, addressing the intention-behavior gap. However, cultural nuances, such as the collectivist orientation of the sample, may have influenced the care frame's ineffectiveness. The study highlights the importance of cultural context in moral framing research and underscores the need for context-specific climate communication strategies.
Quantum FP-Growth Algorithm Using GPU Simulation-Application to Digital Soil Mapping
(Elsevier, 2026) Belkadi, Widad Hassina; Drias, Yassine; Drias, Habiba
This study introduces a novel quantum version of the FP-growth algorithm for frequent itemset mining, leveraging the combined strengths of classical FP-growth and quantum machine learning. Key contributions include the theoretical and practical framework for Quantum FP-growth, along with a comprehensive analysis of its time and space complexity. We implemented Quantum FP-growth using IBM Qiskit and conducted a comparative evaluation of various quantum amplitude estimation (QAE) methods, including Canonical QAE, Faster QAE, Maximum Likelihood QAE, and Iterative QAE for support estimation. Our findings reveal that Iterative QAE surpasses the other methods in both accuracy and speed. Additionally, we explored the advantages of GPU simulation with IBM Qiskit and NVIDIA cuQuantum. Notably, this research marks the first application of a quantum frequent itemset mining algorithm to a real-world dataset in Digital Soil Mapping (DSM), pioneering the use of quantum technologies in soil science. This study underscores the potential of quantum computing to revolutionize data mining and promote sustainable soil management practices.
Burdens of Masculinity Among Heterosexual, Gay, and Bisexual Men in Turkey: More Masculine, More Conflicted, Less Satisfied
(Springer, 2025) Toplu-Demirtas, Ezgi; Oztemur, Gizem; Keskin, Berat; Fincham, Frank D.
Although bivariate associations among masculinity ideology, gender role conflict, and life satisfaction have been documented in Western countries, they have received limited attention in Turkey. Moreover, the majority of peer-reviewed research on masculinity has focused on heterosexual men's experiences. The current study, therefore, explored the relationship between masculinity ideology and life satisfaction in Turkish men with gender role conflict as a mediator and sexual orientation (heterosexual men vs. gay or bisexual men) as a moderator variable. Data were collected online from 195 men (128 heterosexual, 53 gay, and 14 bisexual) between the ages of 18 and 42 (M = 25.39, SD = 3.53) using the Life Satisfaction Scale, Masculinity Ideology Scale, and Gender Role Conflict Scale. The moderated-mediation analysis revealed that masculinity ideology and life satisfaction were significantly associated via the mediator of gender role conflict. Both heterosexual and gay or bisexual men who adhered more to masculine ideology experienced greater gender role conflict and thus felt less satisfaction with life. After discussing the results and their limitations, recommendations for further research and practice are offered. We conclude that addressing gender role conflict in clinical work may be a profitable approach to increasing men's life satisfaction.
Citation - Scopus: 1
Heterogeneous Impact of Innovation on Economic Development: Evidence from EU Regions
(Elsevier Sci Ltd, 2026) Pinar, Mehmet; Karahasan, Burhan Can
This paper investigates the heterogeneous impact of innovation on economic development across European Union (EU) regions, with a focus on regional competitiveness driven by innovation-based capabilities. While innovation is a key driver of economic growth, its effects are not uniformly distributed. Using the Multiscale Geographically Weighted Regression models, the study examines how different dimensions of innovation (technological readiness, business sophistication, and overall innovation capacity) affect regional GDP per capita. The results show that regions with higher innovation-based competitiveness generally achieve higher income levels. However, the impact of innovation is spatially uneven. While core EU regions (particularly, in Northern and Western Europe) benefit more strongly from innovation, peripheral regions (in Southern and Eastern Europe) often experience weaker and in some cases even negative, effects. These results highlight the importance of accounting for spatial variation when designing innovation and cohesion policies. The paper calls for tailored, place-based strategies to address regional disparities in innovation-driven development and suggests that current EU policies should be adjusted to better support lagging regions.
Ruling Through Exception: Lawfare, Securitised Warfare and the Intermestic Logic of Authoritarianism
(Routledge Journals, Taylor & Francis Ltd, 2025) Çağlar, Barış
This article develops an original interdisciplinary framework for analysing authoritarian regimes. It coins, for the first time, the concept of securitised warfare, theorising its conceptual foundations, and it also originates and develops an original theoretical framework synthesising securitisation, authoritarianism and structuration. Securitised warfare - defined here as the outward intermestic manifestation of lawfare - is shown to be mutually constitutive with lawfare, the strategic misuse of the legal system for political gain, with both reinforcing the consolidation of authoritarian rule. Focusing on Turkey (2015-2025), the article illustrates how the regime employed legal repression as a political instrument, particularly in the cases of Selahattin Demirta & scedil; and Ekrem & Idot;mamo & gbreve;lu. Simultaneously, the suppression of Kurdish groups in Syria exemplifies securitised dynamics shaped in conjunction with domestic politics. Using Lijphart's hypothesis-generation method and within-case process tracing, the study demonstrates how lawfare and securitised warfare function both as Schmittian exceptions and as routinised Giddensian institutional practices. The framework conceptualises the historical transition from national security state to neoliberal security state, culminating in the consolidation of an autocratic regime whose logic exceeds conventional regime security. This transformation is theorised through securitised warfare - explaining how domestic and foreign policy are increasingly governed by a unified logic of authoritarian control.
Anamorphic Projection as a Novel Game Mechanic for Investigating Impossible Spaces in 3D Puzzle Games
(IEEE Computer Society, 2025) Aydındoğan, Irem; Alaçam, Sema
This study introduces a novel game mechanic for 3D puzzle games based on anamorphic projection to explore impossible spaces. By using perspective-driven spatial interactions, the mechanic creates environments that challenge conventional Euclidean logic. Players advance by aligning their viewpoint with distorted projections, making perception a central element of gameplay. A usability test with 33 participants assessed the mechanic's effectiveness through a structured questionnaire focusing on six dimensions: Ease of Control, Goals and Rules, Challenge, Mastery, Curiosity, and Immersion. Results indicate high engagement and cognitive stimulation, especially in mastery and goal clarity. These findings highlight the potential of anamorphic projection to support perceptually rich and mentally engaging puzzle experiences in future game design. © 2025 IEEE.

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