01. Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed

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Interplay of Neighborhood and Psychosocial Factors in Predicting Trajectories of Allostatic Load Among Latinx Adults in the United States
(SAGE Publications Inc., 2025) Gutiérrez, Á.; Supiyev, A.; Thomas Tobin, C.; Sevi, B.; Marroig, A.; Voll, S.; Muniz-Terrera, G.
Research highlights the independent roles of neighborhood and psychosocial risk and protective factors for accelerated physiological aging. However, the combined role of neighborhood and psychosocial factors for allostatic load among Latinx adults in the U.S. remains unclear. Informed by the Health Disparities Framework, the study aims are to: (1) examine the direct associations between neighborhood (cohesion and disorder) and psychosocial (loneliness) factors, respectively, and allostatic load trajectories; and (2) determine whether family social support moderates the association between loneliness and allostatic load trajectories. Data for Latinx adults ages ≥50 (n = 319) are from the Health and Retirement Study (waves 2006–2016). Linear mixed models estimated baseline and rate of change in allostatic load, adjusting for sociodemographics. Loneliness was positively associated with baseline allostatic load. This association persisted when we considered neighborhood factors. Family social support moderated the association between loneliness and allostatic load slope. As neighborhood features, loneliness, and physiological dysregulation are each associated with worse cognitive outcomes, findings underscore the protective role of family social support for physiological dysregulation, thereby promoting cognitive resilience. © The Author(s) 2025.
High School and University Students' Reasoning About Decision-Making Autonomy and Parental Authority Legitimacy in Child–Mother Conflicts
(WILEY, 2025) Kuyel, N.; Acar, M.
This study investigated youths' reasoning about personal autonomy and maternal authority in hypothetical emerging adult child–mother conflicts in Türkiye. High school and university students (N = 138, Mage = 19.72 years) from secular and religious schools completed a self-report questionnaire including eight conflict scenarios where the mother opposes her child's decision to marry a non-Muslim or get a tattoo. Maternal opposition in hypothetical scenarios was presented in the forms of maternal advice and maternal use of haram opposition. Haram opposition implies the declaration of maternal accrued rights (a concept deeply rooted in Turkish culture) as haram. The results showed that participants were more likely to subordinate child autonomy to maternal authority when the mother in hypothetical scenarios was depicted as using haram opposition. Authoritative parenting appeared to strengthen this effect. This study has shown that haram opposition is a psychological control mechanism to subordinate child autonomy to maternal authority. © 2025 British Psychological Society.
Gain Sensitivity and Cheating: the Role of Psychological Entitlement
(Hogrefe, 2023) Şahin, Türkay; Demircan, Nilhan; Koloğlugil, Serhat; Peker, Müjde
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Citation - WoS: 11
Citation - Scopus: 11
Resolving Conflicts During Human-Robot Co-Manipulation
(IEEE Computer Society, 2023) Al-Saadi, Zaid; Hamad, Yahya M.; Aydin, Yusuf; Kucukyilmaz, Ayse; Basdogan, Cagatay
This paper proposes a machine learning ( ML) approach to detect and resolve motion conflicts that occur between a human and a proactive robot during the execution of a physically collaborative task. We train a random forest classifier to distinguish between harmonious and conflicting human-robot interaction behaviors during object co-manipulation. Kinesthetic information generated through the teamwork is used to describe the interactive quality of collaboration. As such, we demonstrate that features derived from haptic (force/torque) data are sufficient to classify if the human and the robot harmoniously manipulate the object or they face a conflict. A conflict resolution strategy is implemented to get the robotic partner to proactively contribute to the task via online trajectory planning whenever interactive motion patterns are harmonious, and to follow the human lead when a conflict is detected. An admittance controller regulates the physical interaction between the human and the robot during the task. This enables the robot to follow the human passively when there is a conflict. An artificial potential field is used to proactively control the robot motion when partners work in harmony. An experimental study is designed to create scenarios involving harmonious and conflicting interactions during collaborative manipulation of an object, and to create a dataset to train and test the random forest classifier. The results of the study show that ML can successfully detect conflicts and the proposed conflict resolution mechanism reduces human force and effort significantly compared to the case of a passive robot that always follows the human partner and a proactive robot that cannot resolve conflicts.
Interpersonal Factors and Suicidal Behavior During Covid-19 in Young Adults in Turkey
(Hogrefe, 2023) Çalışkan, Neslihan; Şahin, Banu Çankaya; Caine, Eric D.
...
Citation - Scopus: 3
Selection of the Best Face Recognition System for Check in and Boarding Services
(Springer, 2022) Ucal Sarı, İrem; Sergi, Duygu; Kuchta, Dorota
Check-in and boarding services are one of the most human oriented pre-flight services in aviation industry. The process of using face recognition systems increase with the aviation 4.0 concept, decreases need for manpower and increases the efficiency of the processes. Therefore, problems, developments and challenges of face recognition in terms of aviation 4.0 are discussed in this chapter to determine the best face recognition system for check in and boarding systems. Analytic hierarchy process and grey relational analysis are used to analyze current system providers. To handle the ambiguity in the linguistic evaluations, fuzzy Z- numbers are used. 10 face recognition system providers are evaluated according to five criteria with the proposed methodology and the results are discussed. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 1
The Association of Subordinates' Perception of the Manager's Ambiguous Behaviors With the Likelihood of Conflict Occurrence: a Cross-Cultural Study
(International Association for Conflict Management, 2024) Honuk, H.; Küçük, B.A.; Çağlar, C.T.
The research aims to provide evidence to explain the contradictive findings in the literature on the organizational conflict phenomenon and the relationship between conflict and culture, by focusing on the relationship between ambiguous behaviors and conflict. To achieve this goal, in the context of low-status compensation theory, the relationship between incivility, humor as ambiguous behaviors, and the likelihood of managersubordinate conflict occurrence was investigated. To test the culture’s effect on this relationship, survey data were collected from 478 white-collar subordinates working in SMEs in Turkey and the UK. According to the results, the subordinate’s perception of the manager’s ambiguous behaviors affects the likelihood of relationship conflict and task conflict occurrence. In addition, the study reveals that culture is associated with the likelihood of relationship conflict occurrence but not task conflict. The study contributes to the literature by providing evidence for the relationship between humor, incivility, conflict, and culture. © 2024 International Association for Conflict Management.
Citation - WoS: 3
Citation - Scopus: 3
Organizational Humor as Making Our Work More Meaningful: Mediation by Crafting Job Resources
(De Gruyter, 2022) Keskin, İrem N.; Turnalar Çetinkaya, Neslihan; Bora, Gamze; Gümrükçü, Şeyma; İkan, Reyhan
In the present study, we examined the impact of humor’s positive functions on the perception of a job’s meaningfulness. We argued that liberating and stress-relieving humor act as job resources enhancing job crafting to increase social and structural resources to experience meaningfulness. We hypothesized that crafting the job to increase structural and social resources would mediate the link between organizational humor functions (i.e., liberating and stress-relieving) and meaningfulness. We conducted a cross-sectional study among 200 Turkish employees from different occupations. Our results revealed that increasing structural resources mediated the relationship between liberating humor and meaningfulness, while this mediation was partially for stress-relieving humor. The mediating role of increasing social resources was partial and conditional for both types of organizational humor functions. The practical and theoretical implications have been discussed from a positive organizational scholarship perspective.
Citation - Scopus: 4
Economic Impact and Complications of Treated and Untreated Hepatitis C Virus Patients in Turkey
(2015) Altinbaş, Akif; Baser E; Kariburyo, F; Başer, Onur
Background: According to the Turkish Ministry of Health’s guidelines,standard double therapy, a combination of pegylated interferon-alphaand ribavirin, was the only treatment option for patients withhepatitis C virus (HCV) infection until the end of 2011. Objective: Theprimary objective was to compare risk-adjusted clinical and economicoutcomes between treated and untreated patients with HCV infection.Methods: Patients with HCV infection were identified from theTurkish National Health Insurance Database (2009–2011) using International Classification of Diseases, 10th Revision, Clinical Modification codes.The first prescription date was designated as the index date. Mortalityand hepatocellular carcinoma (HCC) rates and health care costs oftreated and untreated patients were compared using propensity scorematching. Baseline demographic and clinical factors were controlledin the models. Subgroup analysis was conducted for patient groupswith and without a cirrhosis diagnosis. Results: Out of 12,990 patientsincluded in the study, 1,583 were treated for HCV infection. Out of2,467 patients who had a cirrhosis diagnosis, 231 were treated,whereas out of 10,523 patients without cirrhosis, 1,352 patients weretreated. Treated patients were younger, less likely to be diagnosedwith comorbid conditions, and less likely to reside in Central orEastern Anatolia. After adjusting for baseline demographic andclinical factors, mortality (2.27% vs. 5.31%; P o 0.001) and HCC rates(0.69% vs. 1.96%; P o 0.001) were found to be lower for treatedpatients. Differences were more significant among patients diagnosedwith cirrhosis. Treated patients incurred higher risk-adjusted annualcosts (€6172 vs. €1680; P o 0.001), mainly because of pharmaceuticalcosts (€4918 vs. €583; P o 0.001). Conclusions: HCV infection treatment, although costly, significantly reduces mortality and HCC ratesin Turkey.
Citation - Scopus: 7
The Use of Neurometric and Biometric Research Methods in Understanding the User Experience During Product Search of First-Time Buyers in E-Commerce - Conference Paper
(Springer, 2017) Rızvanoğlu, Kerem; Gürvardar, İrfan; Çakar, Tuna; Öztürk, Özgürol; Zengin Çelik, Deniz
Understanding user experience (UX) during e-commerce has been a relatively important research area especially in the last decade. The use of conventional methods in UX such as task-observation, in-depth interviews and questionnaires has already contributed for the measurement of the efficiency and effectiveness. This empirical study has aimed to make use of both conventional and neuroscientific methods simultaneously to provide a richer analysis framework for understanding the product search experience of the first-time buyers. The current work provides insights for the results from the combined use of conventional and neuroscientific-biometric methods in a UX study. Although this has been an exploratory study within a limited literature, the obtained results indicate a potential use of these methods for UX research, which may contribute to improve the relevant experience in various digital platforms.
Citation - WoS: 2
Citation - Scopus: 2
Facial Expression Recognition From Still Images
(2017) Gökmen, Muhittin; Gazioglu, Bilge Suheyla Akkoca
With the development of technology, Facial Expression Recognition (FER) become one of the important research areas in Human Computer Interaction. Changes in the movement of some muscles in face create the facial expressions. By defining these changes, facial expressions can be recognized. In this study, a cascaded structure consists of Local Zernike Moments (LZM), Local XOR Patterns (LXP) and Global Zernike Moments (GZM) methods is proposed for the FER problem. The generally used database is the Extended Chon - Kanade (CK +) in FER problems. The database consists of image sequences of 327 expressions of 118 people. Most FER system includes recognition of 7 classes of emotions happiness, sadness, surprise, anger, disgust, fear and contempt, and we use Library of Support Vector Machines (LIBSVM) classifier for multi class classification with the leave one out cross-validation method. Our overall system performance is measured as 90.34% for FER.
Citation - WoS: 23
Citation - Scopus: 22
Modeling of Carbon Credit Prices Using Regime Switching Approach
(2018) Çanakoğlu, Ethem; Ağralı, Semra; Adıyeke, Esra
In this study, we analyze the price dynamics of carbon certificates that are traded under the European Union's Emissions Trading System (EU-ETS). With the aim of investigating the joint relations among carbon, electricity, and fuel prices, we model historical prices using several methods and incorporating structural changes, such as econometric time series, regime switching, and multivariate vector autoregression models. We compare the results of the structural model with the results of traditional Markov switching and autoregressive models with breaks and present performance analysis based on the mean average percentage error, root mean squared error, and coefficient of determination. According to these performance tests, models with regimes outperform the approaches where breaks are defined using ex ante dummy variables. Moreover, we conclude that among regime switching models, univariate models are better than multivariate counterparts for modeling carbon price series for the analysis of both in-sample and out-of-samples. Published by AIP Publishing.
Selimiye as a Commemorative Monument in Modern Turkey
(Routledge Journals, Taylor & Francis Ltd, 2025) Sezgin, Ahmet
Selimiye, an Ottoman dynastic mosque, became a contested site of memory in the 20th century. As the Ottoman Empire disintegrated, Bulgaria, Greece, and Turkey all had ambitions and even temporary control over Edirne during the first decades of the 20th century. Its unique location at the crossroads of nation-states provides fertile ground for investigating the role of architectural heritage in the formation of a nation's collective memory, with a consideration of transnational influences. This article investigates the development and reception of commemorations involving the monument through close readings of newspaper reports from Greece, Turkey, and Bulgaria, as well as international media. It reveals the transnational dimension in forming a national frame of remembrance for the liberation of Edirne.
Citation - WoS: 11
Architectural Design Research: Drivers of Practice
(Routledge Journals, Taylor & Francis Ltd, 2022) Aydemir, Ayse Zeynep; Jacoby, Sam
Research, professional practice, and learning in architecture are becoming increasingly integrated as the understanding of research and practice is transforming and research assessment criteria are expanding. This changing research landscape has created more diverse iterative and cyclical design research processes and opened new areas of exploration and experimentation in architecture. Building on existing tripartite design research models, such as research 'into', 'for', and 'through' or research stages of 'processes', 'products/outcome', and 'performance/impact', this paper uses the concepts of 'process-driven', 'output-driven', and 'impact' to analyse and classify current architectural design research practices. This framework is used to clarify how research criteria are differently understood in academia and practice, explore the challenges arising from translation between them, and analyse the methods commonly used. While focusing on the UK context, the paper offers transferable insights while using some international case studies.
Water Diplomacy Between Türkiye and Iraq: Pathways, Challenges, and Future Prospects
(Johns Hopkins University Press, 2025) Kibaroǧlu, Ayşegül
Systematic analyses of transboundary water relations in the Euphrates-Tigris basin reveal that key riparian states—Türkiye, Syria, and Iraq—favor water diplomacy over conflict. Despite political instability, including the Syrian civil war, Türkiye and Iraq have re-engaged in formal and informal water diplomacy mechanisms. This paper argues that water diplomacy in this region will likely continue to adapt to the evolving dynamics of conflict impacting transboundary water relations. Notably, cooperation on water issues between Türkiye and Iraq is closely linked with their security collaboration, whose success will likely depend on socioeconomic developments that support fair and sustainable water use across the region. The paper further emphasizes the need to prioritize the swift implementation of existing agreements that address future water availability and demand, particularly in the context of climate change.
Citation - WoS: 17
Citation - Scopus: 24
Identification of the Dynamic Characteristics of Luffa Fiber Reinforced Bio-Composite Plates
(NC State University, 2017) Genç, Garip; Körük, Hasan
Luffa cylindrica plant fiber is a new biodegradable engineering material. However, the dynamic behaviors of these new green materials or their composites should be explored to consider them for practical applications. The dynamic characteristics including modal behavior and the elastic and sound isolation properties of luffa-based bio-composite plates were explored in this study. Structural frequency response function measurements were conducted using a few luffa bio-composite plates to identify their modal behavior. The modal frequencies and loss factors of the luffa bio-composite plates were identified by analyzing the frequency response function measurements using a few modal analysis methods such as half-power, circle-fit, and line-fit. The same luffa bio-composite structures were modelled using a finite element formulation with damping capability, and the elastic moduli of the composite plates were identified. In addition, the transmission loss levels of the same luffa composite samples were measured using the impedance tube method. The results showed that luffa composite structures have considerably high stiffness (elasticity modulus: 2.5 GPa), damping levels (loss factor: 2.6%), and transmission loss level (25 to 30 dB for a 1 cm thickness), and their mechanical properties are promising as an alternative disposable material for noise and vibration control engineering applications.
Memory and Anxiety: A Sociocultural Approach
(Cambridge University Press, 2025) Batiashvili, Nutsa; Topcu, Meymune Nur; Wertsch, James, V.
Citation - WoS: 11
Citation - Scopus: 17
Quantification and Minimization of Sensor Effects on Modal Parameters of Lightweight Structures
(JVE INTERNATIONAL LTD., 2014) Körük, Hasan
This paper aims to quantify the adverse effects of contact type sensors on modal parameters of lightweight structures and to present a practical way for identification of modal parameters of structures with minimal sensor effects. The adverse effects of a contact type sensor on natural frequencies, damping levels and mode shapes are explored using the theoretical model of a typical beam-like sample carrying a sensor and a controlled experimental study based on measurement of frequency response functions using non-contact excitation and response sensors. The half-power and circle fit modal identification methods are used to extract modal parameter from measured data. The experimental and theoretical modal analysis results are evaluated, and a practical methodology based on classical acoustic and vibration frequency response functions is suggested to identify modal loss factors and natural frequencies of lightweight structures with minimal sensor effects.
Calling for a Reset in Turkish-American Relations in the Post-COVID International Order
(SETA Foundation, 2020) Kibaroğlu, Mustafa
Analysts emphasize that nothing will be the same after the pandemic and refer to the ‘new normal’ that is likely to prevail everywhere in the world. It would be a legitimate question to ask if this would provide a conducive environment for Turkey and the United States to reset their relations that have much deteriorated lately. This article will, first, highlight the contours of the ‘new normal’ narrative by referring to the views expressed by politicians, academics, analysts, journalists and intellectuals from around the world. Second, the article will assess the implications of the parameters of the ‘new normal’ for key actors in world politics, such as the United States, China, the European Union and Russia, as well as Turkey’s Middle Eastern neighbors, with respect to the issues that will be at stake in the international security environment. Finally, the article will make a call for a reset in Turkish-American relations in order for the two long-standing allies to adapt themselves better to post-COVID international politics. © 2020, SETA Foundation. All rights reserved.
Citation - Scopus: 4
Classification of Skin Lesion Images With Deep Learning Approaches
(University of Latvia, 2022) Kulavuz, Bahadır; Ertuğrul, Berkay; Bakırman, Tolga; Çakar, Tuna; Doğan, Metehan; Bayram, Bülent; Bayram, Buket
Skin cancer is one of the most dangerous cancer types in the world. Like any other cancer type, early detection is the key factor for the patient's recovery. Integration of artificial intelligence with medical image processing can aid to decrease misdiagnosis. The purpose of the article is to show that deep learning-based image classification can aid doctors in the healthcare field for better diagnosis of skin lesions. VGG16 and ResNet50 architectures were chosen to examine the effect of CNN networks on the classification of skin cancer types. For the implementation of these networks, the ISIC 2019 Challenge has been chosen due to the richness of data. As a result of the experiments, confusion matrices were obtained and it was observed that ResNet50 architecture achieved 91.23% accuracy and VGG16 architecture 83.89% accuracy. The study shows that deep learning methods can be sufficiently exploited for skin lesion image classification. © 2022 Baltic Journal of Modern Computing. All rights reserved.

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