İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
DSpace@İSTÜN, Üniversite mensupları 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 telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Phase-selective synthesis of nanoshell hollow V2O3 and V3O5 microspheres as high-performance cathodes for aqueous Zn-ion batteries
(Elsevier, 2025) Aydın Şahin, Selay; Aydoğdu, Büşra; Yaman Uzunoğlu, Gülşah; Yüksel, Recep
Divanadium trioxide (V2O3) microspheres having nano-sized shells were produced by a facile and cost-efficient solvothermal method. Thermal treatment of V2O3 yielded trivanadium pentoxide (V3O5) microspheres. After the synthesis, the structural and electrochemical characterizations were performed in detail. Cathodes produced with the V2O3 and V3O5 materials reached specific capacities of 388 and 320 mAh g− 1 , respectively, at a current density of 0.1 A g− 1 . Aqueous zinc-ion batteries (ZIBs) fabricated with V2O3 and V3O5 cathodes demonstrated high-rate capability and capacity retention. The V2O3 microspheres, which possess a rhombohedral corundum type structure, showed outstanding rate capability (412 mAh g− 1 at 0.1 A g− 1 ; 149 mAh g− 1 at 20 A g− 1 ) and notable cycling stability (95.6 % capacity retention after 1200 cycles at 2 A g− 1 ; 80 % retention at the 2400th cycle at 5 A g− 1 ). Conversely, monoclinic V3O5 provided a comparable initial capacity (374 mAh g− 1 at 0.1 A g− 1 ) but faced rapid capacity decline at high current (26 % retention after 6000 cycles at 5 A g− 1 ). These results emphasize the significance of crystal structure in achieving stable and high-rate Zn2+ storage. In summary, the rhombohedral V2O3 phase exhibits superior Zn2+ transport kinetics and mechanical strength compared to the monoclinic V3O5, which accounts for the differences observed in their electrochemical performance.
Lowered phase transition temperature of VO2(m) via molybdenum doping toward efficient aqueous zinc-ion batteries
(Wiley, 2025) Aydın Şahin, Selay; Aydoğdu, Büşra; Yaman Uzunoğlu, Gülşah; Yüksel, Recep
Rechargeable aqueous zinc-ion batteries have attracted considerable attention as large-scale energy storage systems owing to their safety, sustainability, and cost-effectiveness. However, their practical application has been hindered by limited energy density, primarily determined by cathode performance. Among transition metal oxides, vanadium dioxide (VO2) is particularly appealing due to its layered structure, rich polymorphism, and ability to host Zn2+ ions reversibly. The thermally driven transition from insulating VO2(M) to conductive VO2(R) enhances charge transport through the metal–insulator transition (MIT). In this work, molybdenum doping is employed to lower the MIT temperature of VO2(M). Doping reduces the MIT temperature of the VO2(M) phase to 56.7 °C, resulting in the VO2(R) phase. Electrochemical measurements reveal that Mo-VO2(R) cathodes deliver up to ten times higher capacity than the pristine VO2(M), with 3Mo-VO2(R) reaching 404.8 mAh g–1 at 0.1 A g–1. These findings demonstrate that Mo doping serves as a practical approach to modify VO2(M) and decrease the MIT temperature, while improving electrochemical performance. Moreover, the heteroatom doping strategy suggests a promising pathway for developing other VO2 cathodes for efficient rechargeable batteries, which can leverage the heat dissipated in energy storage systems.
Polyherbal ointment with bromelain for chronic diabetic wounds: Insights from a clinical case series
(Springer Nature Link, 2025) Bostanabad, Saber Yari; Özdemir, Samet; Saadati, Mahrokh; Karaca, Banu; Şener, Alper
Purpose Chronic diabetic wounds are characterized by prolonged inflammation and impaired healing. This study evaluates a novel polyherbal ointment, W Cura D Plus®, which contains Azadirachta indica oil, Hypericum perforatum oil, and bro melain from Ananas comosus. After initial debridement with W Cura D Plus®, treatment continued with W Cura G Plus®. To our knowledge, this is the first clinical report examining this specific combination in the treatment of chronic diabetic wounds. Methods A single-center clinical case series was conducted in 13 diabetic patients with Wagner grade 2–3 diabetic foot ulcers of at least 4 weeks’ duration. All patients were on standard type 2 diabetes therapy (oral agents and/or insulin) and routine wound care prior to enrollment. W Cura D Plus® was applied daily for 7 days to promote debridement, followed by W Cura G Plus® until complete closure or no further reduction in ulcer size for two consecutive weeks. Clinical endpoints included wound area, closure percentage, and recovery time. White blood cell (WBC) and C-reactive protein (CRP) levels were monitored. Results Fourteen wound observations were analyzed. Mean wound area decreased from 25.07±24.56 cm² at baseline to 7.38±5.15 cm² (p=0.0103), and mean closure rate was 64.15±0.23% (p=0.0108), surpassing the 50% benchmark for clini cally meaningful improvement. Recovery time averaged 97.7 days compared to baseline (initial status prior to treatment). WBC and CRP significantly declined (p<0.0001). No adverse events were reported. Conclusion This polyherbal formulation may represent a safe adjunct to standard care, but larger controlled trials are needed to confirm efficacy.
Unveiling the interplay of EBV, HSV-1, and ınflammatory biomarkers in psychiatric disorders
(MDPI Publishing, 2025) Akgül, Özer; Demirel, Ömer Faruk; Tosun, İlker; Kavla, Yasin; Kırkpınar, Mehmet Murat; Sapmaz, Burcu; Şenyiğit, Gülçin; Çalışkan, Reyhan; Öner, Yaşar Ali
Background/Objectives: Schizophrenia (SCH), bipolar disorder (BPD), and major depres sive disorder (MDD) are increasingly viewed as neuroimmune disorders shaped by viral exposure and inflammation. Disorder-specific immunovirological profiles, however, re main poorly defined. Methods: In this cross-sectional study, we assessed Epstein–Barr Virus (EBV) and Herpes Simplex Virus type 1 (HSV-1) seropositivity and measured serum CRP, IL-6, and IL-1β in 708 participants: 110 with SCH, 121 with BPD, 135 with MDD, and 342 healthy controls (HC). Statistical analyses included Shapiro–Wilk tests for nor mality; Kruskal–Wallis with Bonferroni-adjusted Dunn post hoc comparisons; and logistic regression adjusted for age, sex, and marital status. Results: EBV seropositivity was higher in SCH (90.9%) than in HC (78.9%) (OR = 3.46, 95% CI: 1.68–7.12; p = 0.001) but not in BPD or MDD. HSV-1 seropositivity was elevated in BPD (83.5%) versus HC (67.0%) (OR = 2.29, 95% CI: 1.34–3.92; p = 0.003), with no differences in SCH or MDD. Inflammatory biomarkers were significantly increased in SCH and MDD compared to HC (p < 0.001), while BPD showed no differences. Conclusions: The findings delineate distinct immunovi rological patterns across major psychiatric disorders. Schizophrenia was characterized by EBV seropositivity accompanied by systemic inflammatory activation, bipolar disorder by HSV-1 seropositivity in the absence of inflammatory changes, and major depressive disor der by inflammatory dysregulation independent of viral exposure. These disorder-specific profiles highlight heterogeneity in neuroimmune pathways and underscore the potential relevance of biomarker-based stratification for generating hypotheses regarding targeted antiviral or anti-inflammatory interventions in psychiatric populations.
Visual quality assessment of E-commerce product images using convolutional neural networks
(Springer Nature Link, 2025) Tbaileh, Imad; Bağrıyanık, Selami
High-quality product images are vital in shaping consumer trust and driving engagement on e-commerce platforms. This study proposes a deep learning-based approach for evaluating the visual quality of product images, with the aim of improving the overall customer experience and presentation standards in online marketplaces. A custom-labeled dataset was developed, containing thousands of product images categorized into five quality levels. A convolutional neural net work (CNN) was trained to classify these images based on their visual quality. In addition, two well-known architectures, MobileNetV2 and EfficientNetB0, were trained under identical conditions to serve as benchmarks for performance com parison. The proposed CNN model achieved an accuracy of 94.93%, outperforming both MobileNetV2 (76.60%) and EfficientNetB0 (92.77%). It also delivered the highest performance in terms of precision, recall, and F1-score, confirming its effectiveness in this domain. The results highlight the CNN model’s suitability for real-time quality assessment of e-commerce images. Its strong performance and efficiency make it a promising candidate for integration into commercial platforms. Future work will investigate the use of transformer-based models and more diverse training data to further improve accuracy and generalizability.
