This in vitro study investigates effects of different thicknesses (1 mm, 2 mm, 3 mm) and post-curing durations (20 and 25 min) on the translucency parameters (TP), color differences, and microhardness (HV) of NextDent 3D-printed provisional restorations. Fifty-four disk specimens (10 mm diameter) in three thicknesses (1 mm, 2 mm, 3 mm) were post-cured for 20–25 min, forming six groups (n = 9 per group). Color measurements were taken against white and black backgrounds to calculate TP and color differences. Microhardness was measured using a Vickers hardness tester (100 g load, 10 s). Data were analyzed with two-way ANOVA and pairwise comparisons were performed with LSD post-hoc tests (significance level: 0.05). Thickness significantly influenced TP, with 1 mm specimens showing the highest values (P < .05). Post-curing duration did not significantly affect TP or HV (P > .05). Vickers hardness was higher in 1 mm specimens than thicker samples (P < .05). No significant interaction was found between thickness and post-curing time. Thickness affects translucency and hardness in 3D-printed restorations, while post-curing times of 20 and 25 min had minimal impact. Clinicians should consider thickness based on esthetic and functional needs. Future studies should explore broader post-curing times and additional material properties.

Aims: This study aimed to comparatively evaluate the performance of five contemporary large language models (LLMs) on prosthodontics questions of the dentistry specialization examination (DUS) between 2014 and 2024. Methods: A total of 167 prosthodontics questions from the DUS were analyzed. The questions were administered to five different LLMs: ChatGPT-5 (OpenAI Inc., USA), Claude 4 (Anthropic, USA), Gemini 1.5 Pro (Google LLC, USA), DeepSeek-V2 (DeepSeek AI, China), and Perplexity Pro (Perplexity AI, USA). The models’ responses were compared with the official answer keys provided by the Student Selection and Placement Center (OSYM), coded as correct or incorrect, and accuracy percentages were calculated. Statistical analyses included the Friedman test, correlation analysis, and frequency distributions. Subsection analyses were also performed to evaluate model performance across different content areas. Results: DeepSeek-V2 achieved the highest overall accuracy rate (70.06%). Perplexity Pro (53.89%) and Gemini 1.5 Pro (51.50%) demonstrated moderate performance, ChatGPT-5 (49.10%) performed close to human levels, while Claude 4 had the lowest accuracy (32.34%). Subsection analyses revealed high accuracy in standardized knowledge areas such as implantology and temporomandibular joint (TMJ) disorders (66.7-100%), whereas notable decreases were observed in occlusion and morphology questions (9.1-53.9%). Correlation analyses indicated significant relationships between certain models. Conclusion: The findings demonstrate heterogeneous performance of LLMs on DUS prosthodontics questions. While these models may serve as supplementary tools for exam preparation and dental education, their variable accuracy and potential for generating misinformation suggest they should not be used independently. Under expert supervision, LLMs may enhance dental education.

Carbonated drinks are popular beverages among the general population, including dental students. These drinks, such as Coca-Cola, contain high levels of sugar and acidic components, which can contribute to tooth discoloration. This cross-sectional in vivo study was designed to measure the impact of cola consumption on the colour change of the upper anterior six teeth in dentistry students. The objective was to assess colour changes exclusively. This study aimed to evaluate the discoloration on the anterior surface of anterior teeth of dentistry university students after one month of Cola consumption in different consumption groups. A cross-sectional study was conducted among first and second-year dental students (N:64). The upper six anterior teeth, including both canines, of each of the 64 students were measured by spectrophotometer, with three measurements taken to record L, a, b, C, H values per tooth region and the averages recorded. After one month of Coca-Cola consumption, the color measurements of these teeth were repeated. Cola consumption significantly impacted tooth discoloration among dentistry students. Anterior teeth in high-consumption groups showed greater color changes (p < 0.05) across L, a, H, Delta L (ΔL), Delta a (Δa), Delta H (ΔH), Delta E (ΔE) and Delta E00 (ΔE00) values, with marked differences between groups. The findings suggest that Coca-Cola consumption is common among dental students and may be associated with tooth discoloration. This highlights the importance of oral health education and preventive measures among dental students to minimize the risk of tooth discoloration associated with carbonated drink consumption.

Nanomaterials in prosthetic dental treatments have garnered significant attention in the field of dentistry. These nanomaterials are utilized in various forms, such as nanoceramics, nanocomposites, nanoimplants, and antimicrobial nanoparticles. Particularly, through nanotechnology advancements, these materials offer high mechanical strength, biocompatibility, and aesthetic properties, enhancing the success of dental restorations and prosthetics. Additionally, nanoparticles with antimicrobial properties provide protection against periodontal diseases and tooth decay. The development of nanoparticle synthesis methods and techniques has enabled the use of more effective and safe materials in prosthetic dental treatments. The impact of nanotechnology in dentistry allows for the development of more successful and sustainable treatment options for patients.

This study aims to investigate the bacterial adhesion effect of heat-curing acrylic resins modified with zirconia nanoparticles when interacting with vegan beverages using SEM and FTIR analyses. The bacterial adhesion of heat-cured acrylic resins from Imicryl and Procryla was investigated. The focus was on modified versions of Procryla containing 1 wt% and 3 wt% zirconia nanoparticles. A total of 192 specimens (n = 48 per group) were soaked in four different solutions: distilled water, mineral water, almond milk, and water kefir. Repeated measures ANOVA revealed statistically significant differences (P < .05) in bacterial adhesion among resin groups, beverage types, and immersion times. Specifically, the addition of 1% by weight zirconia to the specimens reduced bacterial adhesion in groups immersed in distilled water (P < .001). Similarly, 3 wt% zirconia reduced adhesion in mineral water (P < .001). However, in groups exposed to other beverages, including mineral water, almond milk, and water kefir, the incorporation of either 1 wt% or 3 wt% zirconia increased bacterial adhesion significantly (P < .001). SEM images corroborated these findings, showing varying patterns of bacterial adhesion on the surfaces of different resin groups under different environmental conditions. The findings indicate the importance of resin composition and beverage type in dictating bacterial interactions on acrylic surfaces. Notably, the addition of zirconia nanoparticles, particularly in Procryla 1Z, demonstrated a significant reduction in bacterial adhesion, highlighting its potential to enhance the antimicrobial properties of acrylic materials. Key points • Zirconia reduces bacterial adhesion in water. • Higher zirconia increases adhesion in vegan beverages. Graphical Abstract

Akademisyen Yayınevi yöneticileri, yaklaşık 30 yıllık yayın tecrübesini, kendi tüzel kişiliklerine aktararak uzun zamandan beri, ticarî faaliyetlerini sürdürmektedir. Anılan süre içinde, başta sağlık ve sosyal bilimler, kültürel ve sanatsal konular dahil 2700’ü aşkın yayımlamanın gururu içindedir. Uluslararası yayınevi olmanın alt yapısını tamamlayan Akademisyen, Türkçe ve yabancı dillerde yayın yapmanın yanında, küresel bir marka yaratmanın peşindedir. Bilimsel ve düşünsel çalışmaların kalıcı belgeleri sayılan kitaplar, bilgi kayıt ortamı olarak yüzlerce yılın tanıklarıdır. Matbaanın icadıyla varoluşunu sağlam temellere oturtan kitabın geleceği, her ne kadar yeni buluşların yörüngesine taşınmış olsa da, daha uzun süre hayatımızda yer edineceği muhakkaktır.