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
Turkish real-life atrial fibrillation in clinical practice: 2-year clinical outcomes of the TRAFFIC study
(Kare Publishing, 2026) Karabay, Can; Astarcıoğlu, Mehmet; Ağca, Fahriye; Yılmaz, Ahmet Seyda; Akture, Gülşah; Aslan, Ahmet; Özkalaycı, Flora; Tanboga, Ibrahim
Background: Atrial fibrillation (AF) is a major public health issue associated with thromboembolism and mortality. Real-world data from Tü rkiye are limited despite expanding use of non-vitamin K antagonist oral anticoagulants (NOACs). The Turkish Real Life Atrial Fibrillation in Clinical Practice (TRAFFIC) study aimed to characterize the demographic features, risk profiles, treatment patterns, and 2-year clinical outcomes of patients with non-valvular AF (NVAF) in Tü rkiye. Methods: TRAFFIC was a national, prospective, multicenter, observational registry enrolling 1659 NVAF patients from 36 centers with 6-monthly follow-up for 24 months. Baseline data included demographics, comorbidities, CHA2DS2-VASc, HAS-BLED, AF subtype, European Heart Rhythm Association (EHRA) score, and antithrombotictherapy. Outcomes were ischemic stroke/systemic embolism (SE), major bleeding, and all-cause mortality. Predictors of mortality were evaluated using adjusted Cox regression, and associations of risk scores were explored using univariate Cox models with restricted cubic splines. Results: Median age was 70 years, 48% female, with intermediate CHA2DS2-VASc (most 2-5) and low-to-intermediate HAS-BLED scores (most 0-2). Permanent AF wasthe most common subtype (48%). Antithrombotic therapy largely reflected risk profiles, with NOACs being the dominant treatment (65%). Over 2 years, all-cause mortality was 8.9%, ischemic stroke/SE 2.4%, and major bleeding 1.3%. In adjusted analysis, age, congestive heart failure, and diabetes mellitus were independent predictors of mortality. Both CHA2DS2-VASc and HAS-BLED scores showed threshold effects for mortality and thromboembolic risk but notfor bleeding. Conclusion: TRAFFIC provides contemporary Turkish NVAF data, showing lower event rates than historical cohorts. Outcomes are comparable with international registries; persistent mortality burden highlights the needforAF care beyond anticoagulation.
Effects of a puppet-assisted house-tree-person test on fear and anxiety in children receiving chemotherapy and associated influencing factors: A projective, quasi-experimental study
(Elsevier, 2026) Kahriman, İlknur; Göger, Berrin; Aksoy, Bahar; Kırba, Zila Özlem; Kandaz, Ufuk; Boran, Serpil
Objectives: This study investigated the effect of the puppet-assisted House-Tree-Person Test (HTP-T) on fear and anxiety levels in children undergoing chemotherapy treatment and the factors influencing these outcomes. Methods: The study employed a one-group pretest-posttest quasi-experimental design combined with HTP-T analysis. The study was conducted with 29 children aged 5-12 years receiving chemotherapy at the pediatric hematology-oncology outpatient clinics of a university hospital in the Eastern Black Sea Region of T & uuml;rkiye during the 2022-2024 years. Data were collected using "the Demographic Information Form for Children and Parents, the Children's State Anxiety Scale (CSA), the Children's Fear Scale (CFS), and HTP-T". Data analysis was performed using descriptive statistics, repeated measures ANOVA, and HTP-T analysis. Results: Statistically significant differences were observed in children's mean CSA (F = 3.898, p = 0.026, eta 2 = 0.122) and CFS (F = 5.313, p = 0.008, eta 2 = 0.159) scores across the pre-treatment, during-treatment, and post-treatment measurements. The HTP-T analysis revealed that children had difficulty regulating anxiety and fear, expressed concerns about family and environmental events, reported feelings of loneliness, and exhibited strong emotional attachment to their families. Conclusion: The study demonstrated that incorporating puppet-assisted HTP-T during chemotherapy contributed to reducing children's fear and anxiety and offered a useful approach for identifying influencing factors. Implications for nursing practice: HTP-T, a therapeutic play technique incorporating puppetry and projective methods, may be effective in reducing fear and anxiety among children undergoing chemotherapy. (c) 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Smart structural design for vibration control and energy harvesting in sandwich structures with concrete cores and piezoelectric face sheets
(Techno-Press, 2026) Shen, Chunmei; Ahmed, M. A.; Baniasadi, Arefeh; Yaylacı, Murat
This research examines the performance optimization of smart energy systems for vibration control and energy harvesting in coal mining components, with a focus on appropriate rock mechanics and dynamic interactions. External mechanical loads are applied to a sandwich plate model with a concrete core and sensor-actuator integrated face sheets to simulate structural elements used in mining applications. The structural formulation applies higher-order shear deformation theory (HSDT) to accurately account for the effects of transverse shear in thick composite laminates. The governing equations of motion are produced from Hamilton's principle, allowing an energy-based formulation to stay consistent with the foundation of the physics involved. Additionally, the generalized differential quadrature (GDQ) method is used for the spatial discretization in addressing the coupled electromechanical response, while the temporal domain is treated analytically with the Laplace transform. Various control strategies are verified (classical, robust, optimal) for their potential to suppress vibrations, while at the same time maximizing energy harvested. The comparative analysis developed was able to identify the most suitable controller to increase the stability of a concrete structure while also increasing the energy conversion efficiency, despite being acted on by both operational and non-operational disturbances. The framework proposed has great potential to enhance the reliability, durability, and self-sustainability of concrete structures. The results and findings of this thesis offer professional implications for understanding how to implement smart materials in combination with modern control algorithms and effective modeling practices for use in the practice of concrete engineering.
Enhancing the structural integrity of sport stadium roof panels using nano-reinforced composites and machine learning techniques
(Techno-Press, 2026) Wang, Zixuan; Chen, Liquan; Yaylacı, Murat
The rising demand for strong lightweight materials which can withstand test of time has resulted in using nano-reinforced composite materials for roof panel systems which protect current sports stadiums against intense dynamic forces. The researchers created an analytical-computational framework which enhances stadium roof panel strength through graphene platelet-reinforced composite materials and deep neural network verification which functions as an advanced machine learning method. The roof system is modeled as a doubly curved graphene platelet-reinforced composite panel exposed to dynamic loading conditions that simulate wind gusts and seismic excitations. The effective material properties of the nano-reinforced composite are evaluated by incorporating the contribution of graphene platelets within the polymeric matrix. The panel's structural behavior operates under first-order shear deformation theory which defines transverse shear deformation through a specific shear correction factor. The researchers use energy principles to derive governing equations of motion which they solve analytically using Navier's solution technique that employs double trigonometric series expansions. The Laplace transform handles analytical work for dynamic system behavior through its ability to evaluate transient response which needs its inverse transformation to be solved using a modified Dubner and Abate numerical method. The research confirms roof panel dynamic response through deep neural network training which uses analytical method datasets to produce fast computational results. The research findings demonstrate that analytical methods and machine learning approaches generate identical results which confirm the system's accuracy. The results deliver important information which assists in designing nano-reinforced stadium roof panels that provide superior stability and strength, and vibration control performance.
Governance challenges and non-traditional security threats in Pakistan: terrorism, cybersecurity, and climate risks
(2025) Khan, Muhammad Bahar; Anser, Muhammad Khalid; Naseem, Imran; Aamir, Alamzeb; Zaman, Khalid
Pakistan's security concerns have expanded to include terrorism, cyber insecurity, and climate-induced risks. These interconnected concerns are straining governance, institutional coordination, and long-term stability, necessitating a comprehensive reevaluation of national security beyond military solutions. The study analyses Pakistan's non-traditional security threats over time, evaluates institutions and governance's responses to cyber threats, climate change, and terrorism, and identifies policy gaps that hinder integrated security management. Systematic document analysis underpins the study's qualitative research design. Official papers, anti-terrorism initiatives, cybersecurity frameworks, climate change adaptation measures, and scientific studies from 2001-2024 provided information. The study uses thematic and comparative methodologies to track risks, institutional responses, and governance effectiveness across sectors. The Result show Three significant patterns emerge. First, even while counterterrorism efforts have considerably reduced militant violence, governance issues, including social and economic marginalization and ideological radicalization, have not been addressed. Second, as Pakistan's digital dependence has outpaced institutional cybersecurity safeguards, regulatory monitoring and policy responses are lacking. Third, climate-related hazards, including water stress and extreme weather events, aggravate food insecurity and rural livelihoods, increasing social and security vulnerabilities. The lack of policy integration and interagency coordination limits long-term effectiveness across the board. The study's results and policy implications suggest that integrated governance is needed to address Pakistan's security issues, rather than sector-specific initiatives. Policy implications include improving institutional coordination, integrating climate resilience and cybersecurity into national security planning, and implementing inclusive governance reforms to promote community resilience. A flexible and comprehensive plan is needed to improve national stability and sustainable growth.
