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
The effects of light and vibration on the correction of lower incisor crowding with aligners
(Galenos Publishing House, 2025) Özcan, Mustafa; Nalbantgil, Didem
Objective: To compare the effects of low-frequency vibration (LFV), photobiomodulation (PBM), and their combination (HOT) on the rate of mandibular incisor alignment during clear aligner therapy. Methods: This retrospective study included 89 patients treated with a single clear aligner system for mild-to-moderate mandibular anterior crowding. Patients were assigned to four groups: control (n=19), LFV (n=26), PBM (n=21), and HOT (n=23). LFV [30 Hz, 0.25 N (≈25 g)] and PBM (850 nm, 16×5 mm LEDs, ≈9.5 J/cm2 ) devices were used daily for 20 minutes in relevant groups. The primary outcome was the change in Little’s Irregularity Index at baseline (T0), 28 days (T1), 48 days (T2), and 62 days (T3). Statistical analyses included one-way ANOVA, repeated measures ANOVA, and Pearson’s correlation. Results: The HOT group showed significantly greater crowding reduction compared to all other groups (p<0.05). LFV and PBM alone were not significantly different from the control. Within-group analysis revealed significant reductions in all groups over time, with the HOT group showing consistent improvements at each interval. Correlation analyses revealed no significant associations between device usage or aligner wear time and crowding reduction. Conclusion: Combining LFV and PBM during clear aligner therapy produced greater short-term acceleration of mandibular incisor alignment than either modality alone. Further randomized controlled trials are warranted to confirm long-term efficacy and safety.
Reflectance confocal microscopy for differentiating clear cell acanthoma from squamous cell carcinoma in situ
(Galenos Publishing House, 2025) Oraloğlu, Göktürk; Duman, Nilay; Yaman, Banu; Karaarslan, Işıl
Background and Design: There are few reports on the in vivo reflectance confocal microscopy (RCM) features of clear cell acanthoma (CCA). This study aimed to evaluate the diagnostic ability of RCM in CCAs that are difficult to diagnose clinically and to compare the RCM findings with those observed in squamous cell carcinoma in situ (SCCIS) lesions, which exhibit similar clinical morphology. Materials and Methods:We searched our database and identified three cases of CCA with atypical features and three cases of SCCIS with common morphological features. We described the clinical, dermoscopic, RCM, and histopathological characteristics of these cases. Results: Both lesion groups showed prominent epidermal hyperplasia on RCM; however, atypia in epidermal cells in CCAs was not as pronounced as that in SCCISs. The general architecture was preserved in the CCAs. In SCCISs, epidermal basal cells were increased in size, and prominent pleomorphism and atypia were observed in the full-thickness epidermis, whereas basal cells in CCAs were normal in pattern and appearance. Conclusion: We suggest that differentiating CCA from SCCIS on RCM is possible, even in atypical cases, by careful evaluation of the general architecture of the tumor and determination of the degree of epidermal disarray, nuclear features of the epidermal cells, presence of uniformity or pleomorphism of the epidermal cells, and features of the basal cells. A comparison of normal skin and tumor areas may also help in better evaluation.
Synthesis and supramolecular architectures of novel hydrazine derivative homometallic schiff base complexes and their spectroscopic and thermal chacterization
(Springer Nature Link, 2025) Temizkan Özdamar, Kevser
In this study, a hydrazine-containing Schiff base (ScB) and its metal complexes with five different metals—Co (ScB Co), Cu (ScB-Cu), Pb (ScB-Pb), Mn (ScB-Mn), and Zn (ScB-Zn)-were synthesized and subsequently characterized both structurally and thermally. The ScB was synthesized via an elimination reaction between vanillin and phenylhydrazine in ethanol. Hexadentate homometallic complexes (HMCs) were then obtained by reacting the ScB with five different metal salts in tetrahydrofuran. The structural architecture of the synthesized ScB and its HMCs was elucidated using Fourier Transform Infrared (FT-IR) spectroscopy, as well as proton (1 H) and carbon (13C) Nuclear Magnetic Resonance (NMR) spectroscopy. Optical, thermal, and surface characterizations of the structurally confirmed ScB and HMCs were performed using UV-Visible spectroscopy (UV-Vis), thermogravimetric and differential thermogravimetric analyses (TG-DTG), and scanning electron microscopy (SEM), respectively. According to thermogravimetric analysis, the char yield of ScB was 28.2%, while the char yields of its metal complexes—ScB-Co, ScB-Cu, ScB-Pb, ScB-Zn, and ScB-Mn—were 5.4%, 27%, 16%, 19%, and 7.1%, respectively. These results indicate that the incorporation of metal ions into the structure reduced its thermal stability, as evidenced by the decreased residue amounts at 1000 °C.
Neurodegenerative effects of boron and other elements on zebrafish and zebrafish embryos
(Taylor & Francis, 2025) Özel Korlu, Armağan Begüm; Yarat, Ayşen; Emekli Alturfan, Ebru
Zebrafish are a valuable model for studying neurodegenerative diseases (NDs) because of their rapid development, high reproductivity, and genetic similarity to humans. Their transparency during their early developmental stages and well-characterized nervous system renders them highly valuable for observing neurodevelopmental processes and identifying substances that can be harmful or protective. Various elements have been studied in zebrafish models to gain a clearer understanding of their roles in neurodegeneration and neuroprotection. These elements can influence cellular pathways associated with oxidative stress, apoptosis, neuroinflammation, and mitochondrial function, which are crucial in developing NDs. This review examines how different elements, such as boron, zinc, magnesium, selenium, iron, manganese, copper, lead, mercury, arsenic, cadmium, aluminum, silicon, cobalt, nickel, titanium, and tin, affect neural tissues in zebrafish. By synthesizing data from studies on neurotoxic and neuroprotective effects of different elements, we aim to provide a comprehensive overview of their interaction with neuronal systems. Research in this area continues to uncover these elements’ specific mechanisms and potential therapeutic applications in protecting neural tissues. A better understanding of these mechanisms could lead to the development of new treatments for diseases such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis.
Comparative analysis of artificial intelligence chatbots in orthodontic emergency scenarios: ChatGPT-3.5, ChatGPT-4.0, Copilot, and Gemini
(EH Angle Education and Research Foundation, 2025) Erdem, Buket; Özcan, Mustafa; Şar, Çağla
Objectives To evaluate and compare the accuracy of four AI chatbots, ChatGPT-3.5, ChatGPT-4.0, Copilot, and Gemini, in response to orthodontic emergency scenarios. Materials and Methods Forty frequently asked questions related to orthodontic emergencies were posed to the chatbots. These questions were categorized as fixed orthodontic treatment, clear aligner treatment, eating and oral hygiene, pain and discomfort, general concerns, retention, and sports and travel. The responses were evaluated by three orthodontic experts using a five-point Likert scale, and statistical analysis was conducted to assess variations in accuracy across chatbots. Results Statistical analysis revealed significant differences among the chatbots. Gemini and ChatGPT-4.0 demonstrated the highest accuracy in response to orthodontic emergencies, followed by Copilot, whereas ChatGPT-3.5 had the lowest accuracy scores. Additionally, the “Fixed Orthodontic Treatment” category showed a statistically significant difference (P = .043), with Gemini outperforming the other chatbots in this category. However, no statistically significant differences were found in other categories. Conclusions AI chatbots show potential in providing immediate assistance for orthodontic emergencies, but their accuracy varies across different models and question categories.
