Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
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Article Citation - WoS: 6Citation - Scopus: 6Modeling the Transmission Dynamics of Middle Eastern Respiratory Syndrome Coronavirus with the Impact of Media Coverage(Elsevier, 2021) Fatima, BiBi; Alqudah, Manar A.; Zaman, Gul; Jarad, Fahd; Abdeljawad, ThabetMiddle East respiratory syndrome coronavirus has been persistent in the Middle East region since 2012. In this paper, we propose a deterministic mathematical model to investigate the effect of media coverage on the transmission and control of Middle Eastern respiratory syndrome coronavirus disease. In order to do this we develop model formulation. Basic reproduction number R-0 will be calculated from the model to assess the transmissibility of the (MERS-CoV). We discuss the existence of backward bifurcation for some range of parameters. We also show stability of the model to figure out the stability condition and impact of media coverage. We show a special case of the model for which the endemic equilibrium is globally asymptotically stable. Finally all the theoretical results will be verified with the help of numerical simulation for easy understanding.Article Developing and Validating a Rubric-Based Approach to Quality Assurance in Turkish Higher Education(Pergamon-Elsevier Science Ltd, 2025) Akkoyunlu, Buket; Bardakci, Salih; Yildirim, Sibel Aksu; Avsaroglu, M. Dilek; Uludag, Gonca; Kocer, Ayhan; Elmas, MuzafferThis study, initiated by the Turkish Higher Education Quality Council (THEQC), develops and validates a rubricbased approach for evaluating institutional quality assurance (QA) processes within the Turkish higher education ecosystem. Effective quality assurance (QA) in higher education requires evaluation tools that are methodologically robust, responsive to institutional needs, and aligned with international benchmarks. A rubric-based approach offers a structured and transparent framework for consistent assessments. The rubric was created through an iterative, evidence-based process incorporating expert feedback, international benchmarks, site visits, and prior research. It consists of 22 main criteria across four key domains-Leadership, Governance and Quality; Learning and Teaching; Research and Development; and Service to Society-subdivided into 46 sub-criteria, each assessed on a five-point maturity scale. The validity and reliability of the rubric were rigorously examined. Content validity was established through evaluations by 10 QA professionals, addressing four key dimensions: relevance, alignment with the intended domain, appropriateness for the target audience, and clarity of language. Construct and criterion validity were assessed through consistency checks and usability analyses, with data collected from 252 external evaluators across 57 higher education institutions. Additionally, 360-degree feedback was gathered from both external evaluation teams and the institutions involved in the evaluation process. Results: demonstrate strong content validity (Lawshe coefficient =1.00, p < .05), high interrater consistency, and strong usability across various evaluator groups. Further evaluation confirmed the rubric's applicability and robustness across diverse institutional contexts. This study concludes that the developed rubric is a reliable and valid tool for enhancing and evaluating quality assurance practices in higher education.Article Citation - WoS: 7Citation - Scopus: 8Life Cycle Assessment of Geopolymer Materials Utilizing Construction and Demolition Waste(Academic Press Inc Elsevier Science, 2025) Unsal, Zeynep; Ekinci, Mehmet Ozkan; Ilcan, Huseyin; Sahin, Oguzhan; Selcuk, Seda; Sahmaran, MustafaThis study assessed the environmental impacts of construction and demolition waste (CDW)-based geopolymers. For analysis, the cradle-to-gate system boundary was established. Two different geopolymer mixtures were evaluated: one composed entirely of CDW-based precursors-(CDW100), and another incorporating supplementary cementitious materials-(SCMs) as a 20 % replacement of CDW-based precursors-(CDW80SCM20). Raw materials were sourced from a diverse range of demolition waste. NaOH and Ca(OH)2 were employed as activators. Additionally, a cementitious mixture with comparable strength was included in the analysis as a benchmark for comparison with the geopolymers. The results of the impact analyses revealed that CDW80SCM20 had a greater environmental impact across various categories compared to CDW100. The relatively higher environmental impacts of the CDW80SCM20 mixture are largely attributed to the transport-related environmental burdens associated with the inclusion of SCMs. The largest differences were for land occupation and global warming, at 30.8 % and 16.9 %, respectively. Moreover, the results indicated that the environmental impacts of the CDW-based mortars were significantly lower than those of the cementitious system, with the exception of aquatic eutrophication and ozone layer depletion. The increase in ozone layer depletion is mainly associated with the production of NaOH via the chlor-alkali process, which contributes to emissions affecting stratospheric ozone. The advantages of geopolymers in terms of environmental impact made it possible to reduce the effects of global warming by 48.1 %, aquatic acidification by 22.1 %, land occupation by 45.2 %, and nonrenewable energy consumption by 1.83 %. However, aquatic eutrophication and ozone layer depletion were found to be higher compared to cementitious mortar.Article Citation - WoS: 15Citation - Scopus: 18The Role of Positive Relationship Events in Romantic Attachment Avoidance(Amer Psychological Assoc, 2023) Bayraktaroglu, Deniz; Gunaydin, Gul; Selcuk, Emre; Besken, Miri; Karakitapoglu-Aygun, ZahideMotivated by the Attachment Security Enhancement Model (Arriaga et al., 2018), the present research investigated the associations between positive relationship experiences and romantic attachment avoidance in three dyadic studies that combined multiple methods, including daily diaries, laboratory observations, and longitudinal follow-ups. Frequency of daily positive relationship events (but not external positive events) during a 21-day diary period predicted declines in romantic attachment avoidance (but not anxiety) from pre- to post-diary in fledgling couples (Study 1) and newlyweds (Study 2). Video-recorded discussions of fledgling couples' shared positive experiences revealed that behaviors validating the relationship (but not simply showing conversational interest) predicted lagged declines in romantic attachment avoidance (but not anxiety) over 1 month (Study 3). The associations were mediated by positive affect during the diary period in Studies 1 and 2, and by changes in positive affect from pre- to post-discussion in Study 3. Positive relationship experiences did not significantly interact with time in predicting romantic avoidance over a 1-year follow-up with quarterly assessments of attachment orientations in Study 1, over an 8-month follow-up with monthly assessments in Study 2, or over a 2-month follow-up with monthly assessments in Study 3. Altogether, these studies provide one of the most comprehensive tests of how positive relationship experiences in nondistressing contexts are linked to romantic attachment.Article Citation - WoS: 11Citation - Scopus: 17Convolutional Neural Network-Based Deep Learning for Landslide Susceptibility Mapping in the Bakhtegan Watershed(Nature Portfolio, 2025) Feng, Li; Zhang, Maosheng; Mao, Yimin; Liu, Hao; Yang, Chuanbo; Dong, Ying; Nanehkaran, Yaser A.Landslides pose a significant threat to infrastructure, ecosystems, and human safety, necessitating accurate and efficient susceptibility assessment methods. Traditional models often struggle to capture the complex spatial dependencies and interactions between geological and environmental factors. To address this gap, this study employs a deep learning approach, utilizing a convolutional neural network (CNN) for high-precision landslide susceptibility mapping in the Bakhtegan watershed, southwestern Iran. A comprehensive landslide inventory was compiled using 235 documented landslide locations, validated through remote sensing and field surveys. An equal number of non-landslide locations were systematically selected to ensure balanced model training. Fifteen key conditioning factors-including topographical, geological, hydrological, and climatological variables-were incorporated into the model. While traditional statistical methods often fail to extract spatial hierarchies, the CNN model effectively processes multi-dimensional geospatial data, learning intricate patterns influencing slope instability. The CNN model outperformed other classification approaches, achieving an accuracy of 95.76% and a precision of 95.11%. Additionally, error metrics confirmed its reliability, with a mean absolute error (MAE) of 0.11864, mean squared error (MSE) of 0.18796, and root mean squared error (RMSE) of 0.18632. The results indicate that the northern and northeastern regions of the Bakhtegan watershed are highly susceptible to landslides, highlighting areas where proactive mitigation strategies are crucial. This study demonstrates that deep learning, particularly CNNs, offers a powerful and scalable solution for landslide susceptibility assessment. The findings provide valuable insights for urban planners, engineers, and policymakers to implement effective risk reduction strategies and enhance resilience in landslide-prone regions.Article Stability Analysis and Solutions of Fractional Boundary Value Problem on the Cyclopentasilane Graph(Cell Press, 2024) Wang, Guotao; Yuan, Hualei; Baleanu, DumitruThe study is being applied to a model involving silane and on cyclopentasilane graph. We consider a graph with labeled vertices by 0 or 1 inspired by the molecular structure of cyclopentasilane. In this paper, we first study the existence of solutions to fractional conformable boundary value problem on the cyclopentasilane graph by applying Scheafer and Krasnoselskii fixed point theorems. Furthermore, we investigate different kinds of Ulam stability such as Ulam-Hyers stable, generalized Ulam-Hyers stable, Ulam-Hyers-Rassias stable and generalized Ulam-HyersRassias stable for the given problem. Finally, we give an example to support our important results.Article Citation - WoS: 1Citation - Scopus: 2Initial Validation of the Turkish Version of the Defense Mechanisms Rating Scales-Self(Frontiers Media Sa, 2024) Yilmaz, Meltem; Tas, Berke; Celik, Deniz; Perry, J. Christopher; Tanzilli, Annalisa; Di Giuseppe, Mariagrazia; Lingiardi, VittorioThe Defense Mechanisms Rating Scales-Self Report-30 (DMRS-SR-30) was recently developed to add a self-report alternative to the assessment of defenses, reflecting their generally accepted hierarchical organization. In this study, we aimed to examine psychometric properties and factor structure of the Turkish language version of the DMRS-SR-30. The sample consisted of 1.002 participants who filled out a survey comprising the DMRS-SR-30, the Brief Symptom Inventory, and the Inventory of Personality Organization through Qualtrics. Confirmatory Factor Analysis indicated a three-factor structure (CFI = 0.89, RMSEA = 0.05) that confirms the DMRS theoretical frame with a relatively acceptable fit. Defensive categories and total scale scores showed good to excellent reliability (alpha values ranging from 0.64 to 0.89). Correlations between defenses, symptoms, and personality functioning demonstrated good convergent and discriminant validity. The individuals with clinically significant BSI scores (T-score >= 63) differed on the DMRS-SR-30 scores from the individuals in the non-clinical range. The Turkish version of the DMRS-SR-30 is a reliable and valid instrument to self-assess the hierarchy of defense mechanisms and overall defensive functioning. Moreover, the current study supports the validity of the tripartite model of defenses in a language and culture different from the origins of the DMRS and DMRS-SR-30.Article Citation - WoS: 3Citation - Scopus: 4Your Need for Cognition, Cognitive Flexibility, and Cognitive Emotion Regulation Strategies Matter! the Path Beyond a Satisfied Life(Routledge Journals, Taylor & Francis Ltd, 2024) Kaynak, Hande; Nazligul, Merve Denizci; Cengil, Betul Beyza; Denizci Nazlıgül, MerveThis study explored the associations among cognitive flexibility, cognitive emotion regulation (CER) strategies, need for cognition, and life satisfaction, which represents a cognitive component of subjective well-being. Previous studies have shown the importance of adaptive CER strategies for well-being, while maladaptive strategies have been linked to negative outcomes such as psychological distress, depression, and anxiety. Additionally, the need for cognition has been associated with cognitive flexibility and positive outcomes in various domains. However, the specific roles of cognitive flexibility and CER strategies in the relationship between need for cognition and life satisfaction remain relatively unexplored in the existing literature. This study aimed to address this gap by investigating how cognitive flexibility and different CER strategies contribute to the relationship between need for cognition and life satisfaction in a non-clinical sample of 239 adults via a survey consisting of a demographic information form, need for cognition scale, cognitive flexibility inventory, cognitive emotion regulation questionnaire, and satisfaction with life scale. The results demonstrated that when individuals with a high need for cognition had cognitive flexibility, they were more likely to use adaptive cognitive emotion regulation strategies, resulting in elevated life satisfaction. The findings of this study may provide insights into the underlying mechanisms that influence individuals' cognitive processes, cognitive emotional regulation, and overall life satisfaction. Such understanding can have implications for interventions aimed at enhancing cognitive flexibility, promoting adaptive CER strategies, and ultimately fostering improved life satisfaction.Article Citation - WoS: 41Citation - Scopus: 44Psychological Well-Being in Europe After the Outbreak of War in Ukraine(Nature Portfolio, 2024) Scharbert, Julian; Humberg, Sarah; Kroencke, Lara; Reiter, Thomas; Sakel, Sophia; ter Horst, Julian; Back, Mitja D.The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war. Our data show a significant decline in well-being on the day of the Russian invasion. Recovery over the following weeks was associated with an individual's personality but was not statistically significantly associated with their age, gender, subjective social status, and political orientation. In general, well-being was lower on days when the war was more salient on social media. Our results demonstrate the need to consider the psychological implications of the Russo-Ukrainian war next to its humanitarian, economic, and ecological consequences.Article Citation - WoS: 3Citation - Scopus: 3My Partner Really Gets Me: Affective Reactivity To Partner Stress Predicts Greater Relationship Quality in New Couples(Amer Psychological Assoc, 2024) Selcuk, Emre; Gunaydin, Gul; Ascigil, Esra; Bayraktaroglu, Deniz; Ong, Anthony D.Affective reactivity, defined as within-person increases in negative affect triggered by daily stressors, has well-established links to personal well-being. Prior work conceptualized affective reactivity as an intrapersonal phenomenon, reflecting reactions to one 's own stressors. Here, we conceptualized reactivity interpersonally, examining one 's responses to a romantic partner 's daily stressors. Across four longitudinal dyadic studies, we investigated how reactivity to partner stress predicts relationship quality appraisals. In fledgling couples, reactivity to a partner 's stressors, assessed via weekly (Study 1; N = 152) and daily (Study 2; N = 144) diaries, positively predicted partner relationship quality. In both studies, the associations were mediated by the partner 's perceptions of responsiveness. Furthermore, reactivity to partner stress buffered against declines in partner relationship quality over 8 weeks in Study 1 and 13 months in Study 2. The relevance of reactivity to partner stress for relationship quality diminished in the later stages of relationships. Among samples of established couples (Studies 3 and 4, Ns = 164 and 208, respectively), reactivity to partner stress did not directly predict partner relationship quality or moderate its trajectory over time. Overall, the predominant pattern across four studies painted a portrait of relational well-being benefits specific to fledgling relationships. Through its novel framework of situating affective reactivity interpersonally between partners, the present research contributes to both affective science and relationship science.