Recep Tayyip Erdoğan Üniversitesi Kurumsal Akademik Arşivi
DSpace@RTEÜ, Recep Tayyip Erdoğan Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Psychometric properties and measurement invariance of the Perth Alexithymia Questionnaire Short Form (PAQ-S) in Arabic, English, Italian, Spanish, Turkish, and Ukrainian
(American Institute of Mathematical Sciences, 2025) Malas, Olga; Colombini, Giulia; Shyroka, Anastasiia; Omotoso, Dayo; Avşar, Asiye Şengül; Boustani, Nada Mallah; Blanch, Angel
Alexithymia is a personality trait with significant clinical impact worldwide. It is a relevant transdiagnostic risk factor for a wide range of psychopathologies, including depression, anxiety, eating and substance use disorders, and other psychosomatic conditions. This underscores the importance of having validated instruments to measure alexithymia, particularly brief scales suitable for quick and practical applications. The Perth Alexithymia Questionnaire (PAQ-S) has shown promising results in this context. However, few cross-cultural studies have validated its use, which is the aim of the present study. To this end, a sample of 2535 university students was recruited (mean age = 20.59 years; SD = 2.04; 26.75% males and 73.25% females) from Spain (n = 388), Italy (n = 376), Lebanon (n = 487), Nigeria (n = 561), T & uuml;rkiye (n = 410), and Ukraine (n = 313). The PAQ-S and the Type D Personality Scale (DS-14)-designed to assess Negative Affectivity (NA) and Social Inhibition (SI)-were administered. The Classical Test Theory (CTT) and Network Analysis (NwA) were applied. The confirmatory factor analysis yielded satisfactory results in all cases, with an adequate internal consistency. Metric invariance was obtained between genders and cultures. Additionally, several of the analysed countries presented strict invariance. Therefore, the data obtained in these countries can be compared and their results extrapolated between them. The NwA supports the data obtained through the CTT, as well as the independence of alexithymia, NA, and SI constructs. Hence, the scale proved to be useful for its intended aim and may be useful to monitor alexithymia in large-scale health campaigns.
Fibrosis-4 score and postoperative outcomes in metabolic dysfunction-associated steatotic liver disease
(AVES, 2026) Eren, Fatih; Göktuğ, Mehmet Refik; Bülbüller, Eda Nur; Gençdal, Genco; Güleryüzlü, Yüksel; Keklilkıran, Çağlayan; Kıyıcı, Murat
Background/Aims: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing globally. The Fibrosis-4 (FIB-4) score is a noninvasive biomarker used for assessing potential advanced fibrosis. The study aimed to evaluate the role of the FIB-4 score in predicting postoperative complications and mortality in patients undergoing surgery. Materials and Methods: This multicenter retrospective study included 11 072 patients who underwent surgery under general anesthesia. Demographic and clinical data-including age, gender, comorbidities, FIB-4 scores, American Society of Anesthesiologists classification, postoperative complications, and mortality-were analyzed. Results: A total of 1667 MASLD patients were included. Patients were classified based on FIB-4 scores: 70% (n = 1167) had FIB-4 < 1.30, 25.1% (n = 418) had 1.30 < FIB-4 <= 2.67, and 4.9% (n = 82) had FIB-4 >= 2.67. Due to the limited number of patients with possible advanced fibrosis (FIB-4 >= 2.67), propensity score (PS) matching was performed. After PS matching, patients with a high FIB-4 score exhibited a significantly higher rate of postoperative complications (P < .001), and 12-month mortality was elevated (11%), although the difference was not statistically significant (P = .481). Conclusion: A high FIB-4 score may serve as a predictive marker for postoperative complications in patients with MASLD undergoing surgery.
Architectural design and active vibration suppression of sandwich plates using deep neural network-based validation
(World Scientific, 2026) Pu, Hongyu; Hang, Hoang Thi; Ahmed, Anwar; Yaylacı, Murat
This research explores the architectural design and active vibration suppression of three-layer rectangular sandwich plates through a deep neural network (DNN)-based verification framework. The proposed structure has been designed as a sandwich plate subjected to a time-dependent external force and consists of the piezoelectric actuator and sensor face sheets bonded to a zinc oxide-graphene oxide (ZnO-GO) hybrid nanocomposite-reinforced polymer core. The structural mechanics are modeled by the Carrera unified formulation (CUF), allowing a systematic hierarchical representation of displacement fields. The unified formulation produces the governing equations for dynamic response and control via an appropriate discretization strategy and a mixed-interpolation finite element technique. These equations are switched to the Laplace domain for computational efficiency, and the corresponding time-domain solutions are retrieved through the modified Dubner-Abate (MDA) inversion method. A wide range of control schemes has been applied to achieve active vibration suppression, including simple linear damping (SLD) controllers, adaptive band-limited derivative (ABL-D) controllers, hysteresis-based nonlinear (HBN) controllers, fuzzy logic supervisory (FLS) controllers, and hybrid predictive sliding mode (HPSM) controllers. Comparative studies show that the HPSM controller is more robust, has better performance in terms of vibration reduction, and is more stable under different loading and material conditions. In order to ensure the reliability of the control strategies in a more certain way, a DNN-based verification framework is developed to compare the predicted vibration responses with the finite-element-derived control outputs. The outcomes from the deep neural networks (DNNs) show a significant relationship with the predicted structural responses that, in turn, support the credibility of the CUF method and the management system.
Turkish NGOs in global governance - insights from ECOSOC engagements
(Routledge Journals, 2026) Tabak, Hüsrev; Ünal, Gürhan; Kaan Renda, Kadri; Özçelik, Ali Onur
This article offers the first empirical analysis of Turkish NGOs' engagement with global governance through the UN Economic and Social Council (ECOSOC). Addressing a significant gap in the literature, it examines Turkish NGOs' access to and participation in ECOSOC-an underexplored area despite Turkey's expanding role within the UN system. The analysis draws on previously unexamined UN archival materials from ECOSOC meetings between 1995 and 2024 and incorporates 21 interviews with Turkish NGOs that hold or seek ECOSOC consultative status. Together, these sources provide robust evidence on the evolving roles, challenges, and strategies of Turkish NGOs in global governance.
Core characteristics of the social studies teacher from stakeholder perspectives: A comparative analysis
(2026) Beldağ, Adem; Öztürk, Fatih; Pala, Çiğdem Baki; Geçit, Yılmaz; Tay, Bayram; Doğanay, Ahmet
The primary aim of this study is to identify the core qualities that social studies teachers in Türkiye are expected to possess, based on stakeholder perspectives. Designed as a qualitative case study, the research sought to address the question: “What kind of teacher?” Data were collected from academics, graduate and undergraduate students, and in-service social studies teachers who participated in the International Social Studies Education Symposium held in June 2022. A total of 97 participants contributed their views and experiences during the stakeholder workshops conducted as part of the symposium. The data were analyzed using both deductive and inductive thematic analysis approaches. The findings indicate that, despite notable variations among stakeholder groups, common qualities emphasized for social studies teachers include subject matter knowledge, pedagogical competence, and technological proficiency. A smaller number of participants highlighted qualities such as having a project-oriented mindset and maintaining high motivation. The study offers important implications for the development of undergraduate social studies teacher education programs and highlights the potential role of the Social Studies Educators Association, along with other associations and civil society organizations with similar aims, in collaboratively establishing field-specific standards.
