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
Neurobiology of suicide in depressive disorders
(Springer Science+Business Media, 2025) Sönmezi Doğancan; Kurhan, Faruk; Hocaoğlu, Çiçek
Suicide is a complex phenomenon that arises from the interaction of biological, social, and psychological risk factors and is considered a serious health problem worldwide. Recent research has revealed the complexity underlying the neurobiological mechanisms of suicide. In particular, genetic factors, dysfunction of the serotonergic system, hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis, stress system, and lipid metabolism are implicated. Findings have highlighted the association between noradrenergic hyperactivity, abnormalities in glial cells, and signaling errors with suicidal behavior. Additionally, differences in cognitive functions have been observed in individuals who attempted suicide, and morphological changes in the frontolimbic network have been detected in brain neuroimaging studies. Identification of neurobiological risk factors can play a crucial role in preventing suicide and developing treatment strategies. This book chapter aims to examine the neurobiological basis of suicidal behavior.
Clinical profiles and in-hospital outcomes of pre-existing versus newly diagnosed atrial fibrillation in coronary care units: insights from the MORCOR-TURK national registry
(Wiley, 2025) Aydın, Ertan; Öğütveren, Muhammed Mürsel; Mert, Gurbet Özge; Yeni, Mehtap; Gülaşti, Sevil; Küçük, Uğur; Yılmaz, Ahmet Seyda
Objective: To compare demographic, clinical, and laboratory profiles and short-term outcomes between pre-existing (chronic) atrial fibrillation (AF) and newly diagnosed AF among patients admitted to coronary care units (CCUs) in Turkey, and to identify factors associated with in-hospital mortality within AF subtypes. Methods: This multicenter, prospective national registry analysis included 540 consecutive AF patients from 50 CCU centers across seven geographic regions in Turkey (MORCOR-TURK National Registry; September 1–30, 2022). Patients were categorized as pre-existing AF (documented AF prior to or at admission) or newly diagnosed AF (first detected during hospitalization). Demographics, comorbidities, admission diagnoses, laboratory biomarkers (including NT-proBNP and hs-troponin I), management, and outcomes were recorded. Multivariable logistic regression identified independent predictors of in-hospital mortality. Results: Pre-existing AF (n = 324) had higher prevalences of diabetes mellitus (42.3% vs. 31.5%; p = 0.012) and acute coronary syndromes (58.6% vs. 34.7%; p < 0.001). Newly diagnosed AF (n = 216) more frequently presented with heart failure (45.8% vs. 28.4%; p < 0.001) and dyspnea (67.1% vs. 48.5%; p < 0.001). Newly diagnosed AF exhibited higher inflammatory burden (CRP median 28.4 vs. 12.6 mg/L; p < 0.001) and lower hemoglobin (11.8 ± 2.1 vs. 12.9 ± 1.8 g/dL; p < 0.001). NT-proBNP was elevated in both groups and higher in newly diagnosed AF (median 4850 vs. 3240 pg/mL; p = 0.003). In-hospital mortality was greater with newly diagnosed AF (12.0% vs. 6.8%; p = 0.042). Independent mortality predictors included age, chronic kidney disease, cardiogenic shock, and log-transformed NT-proBNP, hs-troponin I, and CRP. Conclusion: In Turkish CCUs, pre-existing and newly diagnosed AF constitute distinct clinical phenotypes with differing presentations, biomarker profiles, and short-term risk. Newly diagnosed AF is associated with greater inflammatory and hemodynamic stress and higher in-hospital mortality. Biomarker-enriched risk stratification may refine prognostication and guide targeted management within AF subtypes.
Synthesis and applications of NPB derivatives as hole transport molecules for performance manipulation of fiber-based triboelectric nanogenerators
(Nature Research, 2025) Arkan, Mesude Zeliha; Yalçın, Eyyup; Sarılmaz, Adem; Lowe, Alexander Rowland; Chorążewski, Mirosław; Arkan, Emre; Özel, Faruk; Karabiber, Abdulkerim
Nanofibers are emerging as a crucial component in triboelectric nanogenerators (TENGs) to enhance energy extraction from dissipated mechanical work. Polymer fiber-based triboelectric nanogenerators (PF-TENGs) are particularly prominent due to their numerous advantages, such as facile synthesis, affordability, eco-friendly production, and the ability to integrate into a wide range of applications. However, due to the surface charge mitigation mechanism, its complex material network suffers from insufficient charge production. Thus, chemical modification of triboelectric polymer matrix through molecular design and processing of modified structures via materials engineering is a feasible mechanism to promote surface charge. Herein, we showed the synthesis and application of three novel NPB-based hole transport organic molecules to enhance charge production and improve the fabricated device output. Modifying the main molecular body with distinct side groups enabled us to play with the resonance and inductive effects of the molecules. This modification resulted in the ability to tune the HOMO levels of the molecules. The application of these molecules also gave rise to both structural and topological alterations of the nanofibers that changed the surface features of the fiber films. As for TENG parameters, this strategy produced, in turn, 52% and 74% enhancement in instant voltage and power values compared to the reference device under the same experimental conditions. Under external electrical loads, the increase in the voltage reached 50%, and the recorded maximum value was 598 V. In contrast, the highest current value of 52.5 µA corresponds to a 67% enhancement compared to the reference TENG. The outcome of this study provides a significant improvement of the materials processing methodology, which applies to future printable and flexible TENG devices and further contributes to material design for improved tribotronic systems using the integration of dielectrics and semiconductors.
A novel q-ROHFS prospect theory based MABAC method for failure mode risk prioritization in aircraft landing systems
(Nature Research, 2025) Köseoğlu, Ali; Altun, Fatma; Şahin, Rıdvan
Failure mode risk prioritization is crucial in aircraft landing systems, where undetected or misjudged failures can lead to catastrophic outcomes. Effective risk analysis enables proactive maintenance and enhances aviation safety in such critical phases of flight. In this study, a novel hybrid decision-making framework is proposed to prioritize failure modes in aircraft landing systems by integrating the Multi-Attributive Border Approximation Area Comparison (MABAC) method with Prospect Theory under a q-Rung Orthopair Hesitant Fuzzy Set (q-ROHFS) environment. Traditional failure modes and effects analysis (FMEA) approaches often suffer from rigid weighting schemes, lack of sensitivity to expert hesitancy, and an inability to incorporate psychological factors such as risk aversion or subjective evaluations—especially in high-risk domains like aviation. To address these limitations, the proposed model incorporates human psychological behaviour and uncertainty in expert assessments. Prospect Theory is employed to capture decision makers’ risk attitudes and reference-dependent evaluations, while q-ROHFSs allow more flexible and comprehensive representation of hesitant and uncertain information. In this approach, Best-Worst Method (BWM) is used to determine the relative importance of risk factors for each decision maker, and their individual weights are obtained using TOPSIS-based similarity measures. A novel generalized q-ROHF Minkowski distance measure is also introduced and implemented to determine the weights of decision makers in the TOPSIS method, as well as to construct the prospect decision matrix and the distance matrix in the MABAC method, thereby enhancing computational precision. The applicability and effectiveness of the proposed method are demonstrated through a real-world case study on aircraft landing systems, and a sensitivity analysis is conducted to validate the robustness of the results. The findings highlight the method’s capability to reflect expert preferences more realistically and improve risk prioritization decisions in complex safety-critical systems.
Innovative molecular architecture of a new Hg2+/Cu2+-dual chemosensor based on functionalizable chromenylium-cyanine framework
(Elsevier, 2026) Gündüz, Muhammed İkbal; Özdemir, Emre; Alcay, Yusuf; Yılmaz, Elif; Yavuz, Özgür; Ejder, Nebahat; Yılmaz, İsmail
A novel chromenylium-cyanine based near-infrared (NIR) and dual chemosensor (NIR9) has been developed for the highly sensitive and selective detection of mercury (Hg2+) and copper (Cu2+) ions. The NIR9 is the first example of NIR probes developed for independently analysis of Hg2+ and Cu2+ in real samples. The probe exhibits turn-on fluorescence and ratiometric UV–Vis absorption and colorimetric responses for Hg2+. It also displays a turn-off UV–Vis absorption signal to Cu2+. Upon interaction with Hg2+, NIR9 undergoes a desulfurization-induced spirolactam ring opening, resulting in a strong fluorescence emission at 750 nm and a visible color change from yellow to green, with a detection limit as low as 0.02 μM. For Cu2+ detection, the probe shows a unique absorbance decrease at 380 nm, enabling quantification with a detection limit of 0.01 μM. The sensing capability of NIR9 is supported by theoretical DFT studies and further validated through successful applications in real environmental (water and food) and biological (A549 cells) samples. Additionally, the probe enables smartphone-assisted detection of Hg2+, promoting field-deployable analytical capabilities. This work introduces a next-generation multiplexed NIR chemosensor with high versatility, selectivity, and sensitivity for environmental and biomedical applications.
