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
Investigation of the effects of two- and three-implant supported overdenture prostheses on peri-implant bone and mandibular trabecular bone using fractal analysis and radiomorphometric methods on panoramic radiographs
(BioMed Central Ltd, 2026) Özgür, Furkan; Korkmaz, Meltem Zihni; Bostan, Semih Alperen; Köse, Taha Emre
Background: To compare the average values of fractal and radiomorphometric analysis measurements in patients using overdenture prostheses supported by two or three implants. Methods: This retrospective study analyzed panoramic radiographs of 40 patients (aged 40–90 years) treated with overdentures supported by either two or three implants (n = 20 per group). Baseline and 1–2-year follow-up radiographs were evaluated. Fractal dimension was assessed in mesial, distal, and apical peri-implant regions and averaged at the patient level to avoid clustering of implant-level observations. Radiomorphometric indices, including mandibular cortical width (MCW), mandibular cortical index (MCI), panoramic mandibular index (PMI), antegonial index (AI), and gonial index (GI), were measured bilaterally. Multiple linear regression analyses were performed to determine independent predictors of fractal dimension changes (T1–T0). Results: Fractal analysis showed no significant intergroup differences in overall trabecular bone structure. A significant increase over time was observed only in distal fractal measurements in the two-implant group, with higher follow-up values compared with the three-implant group (p < 0.05). At follow-up (T1), mandibular cortical width (MCW) and antegonial index (AI) values were significantly higher in the three-implant group (p < 0.05), whereas no differences were detected for PMI or MCI. Regression analysis demonstrated that baseline fractal values were significant predictors of fractal dimension changes in all regions, whereas implant configuration was significantly associated only with distal fractal change. Conclusion: Fractal analysis showed no significant difference in overall trabecular bone adaptation between two- and three-implant–supported overdenture groups. Radiomorphometric findings suggest a potential association between implant configuration and cortical bone characteristics; however, these findings should be interpreted with caution. Regression analysis indicated that baseline fractal values were the strongest predictors of subsequent changes, while the effect of implant configuration was limited to the distal region. These findings should be interpreted cautiously and considered hypothesis-generating rather than confirmatory.
Diagnostic accuracy of AI-assisted point-of-care ultrasound for abdominal free fluid detection in FAST trauma assessment: a systematic review and meta-analysis
(BioMed Central Ltd, 2026) Çelik, Ali; Topaloğlu, Ensar; Yazıcı, Mümin Murat
Study objective: Point-of-care ultrasound (PoCUS) is widely used in trauma care through the Focused Assessment with Sonography for Trauma (FAST) protocol, but its accuracy is highly operator-dependent. Artificial intelligence (AI) may reduce variability and improve reliability. This systematic review and meta-analysis evaluated the diagnostic accuracy of AI-assisted PoCUS for detecting free fluid in trauma patients. Methods: We searched PubMed, Scopus, and Web of Science up to April 2025, following PRISMA-DTA guidelines (PROSPERO ID: CRD420250615096). Eligible studies assessed AI-assisted PoCUS using the FAST or FAST-equivalent views and provided sufficient data for diagnostic accuracy analysis. Because one eligible study evaluated an ascites cohort rather than trauma patients, we included it in the broader abdominal free-fluid analysis but excluded it from the trauma-only sensitivity analysis. Pooled estimates were calculated with a bivariate random-effects model. Study quality was assessed using QUADAS-AI tool. Results: Seven retrospective studies (n = 2,332 patients, >34,000 images/videos) were included. The pooled analyses were based on the diagnostic units reported by the original studies, which varied across image-, frame-, video/clip-, FAST-view-, and examination-level data. In the trauma-only analysis, pooled sensitivity for detecting abdominal free fluid was 91.1% (95% CI: 77.9–96.8%) and specificity was 97.5% (95% CI: 95.3–98.7%), with negligible heterogeneity (I² < 1.0) and an AUC of 0.98. In the broader abdominal free-fluid analysis, which included one non-trauma ascites cohort, pooled sensitivity was 91.4% (95% CI: 81.6–96.3%) and specificity was 96.8% (95% CI: 86.5–99.3%), with an AUC of 0.97. CNN-based models showed similar performance (sensitivity 92.2%, specificity 95.4%, AUC 0.97). Narrative review highlighted substantial variability across models: high-performing frameworks such as YOLOv3 and ResNet50-V2 demonstrated sensitivities of 0.90–0.99, whereas others (e.g., VGG11_bn, MaskRCNN) were markedly less accurate. Evidence for pericardial effusion detection was limited to a single retrospective study and should be interpreted cautiously. No dedicated pelvic-view diagnostic accuracy data were available. Conclusion: AI-assisted PoCUS shows promising retrospective diagnostic performance for detecting abdominal free fluid during FAST assessment in trauma settings. The strongest evidence currently supports abdominal applications, whereas data for the cardiac/pericardial component of the FAST examination remain insufficient. Prospective multicenter studies with real-time workflow integration are needed before routine clinical implementation can be recommended.
The effect of anti-tumor necrosis factor-alpha and nonsurgical periodontal therapy in individuals with rheumatoid arthritis
(BioMed Central Ltd, 2026) Yemenoğlu, Hatice; Beder, Melek; Cüre, Osman; Köse, Oğuz; Arpa, Medeni; Atak, Mehtap; Bostan, Semih Alperen
Background: TNF-α inhibitors (anti-TNF-α) decrease the amount of inflammatory cells, osteoclast formation, and bone loss. The purpose of this study was to investigate the effect of non-surgical periodontal therapy (NSPT) combined with anti-TNF-α on oxidative stress in individuals with RA and periodontitis. Methods: A total of 42 patients with RA and periodontitis who were treated with anti-TNF-α (n = 21) and not treated with anti-TNF-α (n = 21) were included in the study. Plaque index (PI), bleeding on probing (BOP), gingival index (GI), clinical attachment loss (CAL), and probing pocket depth (PPD) measurements were measured at baseline, at 3 months, and at 6 months after NSPT, and serum and gingival crevicular fluid (GCF) samples were obtained from the patients. RANKL/OPG, MMP-8, MDA, GSH, and OSI levels were evaluated using ELISA. Results: In both groups, baseline PI, BOP, GI, PPD, and CAL decreased significantly after NSPT (p < 0.05). The GCF RANKL/OPG ratio was statistically significantly lower in anti-TNF-α treated patients at baseline and at 6 months post-NSPT (p < 0.05), and the serum OSI was significantly higher in anti-TNF-α treated patients at baseline (p < 0.05). GCF MMP-8 increased significantly after NSPT in both groups compared with baseline (p < 0.05). In those treated with anti-TNF-α, OSI and MDA decreased significantly after NSPT (p < 0.05). Conclusions: The data from this study suggest that anti-TNF-α therapy can suppress inflammation and alveolar bone resorption by affecting the RANKL/OPG ratio, MMP-8, and oxidative stress parameters, and thus increase the effectiveness of NSPT.
Constructing acceptable use: Instructor boundary‑setting with generative AI
(Springer, 2026) Dennen, Vanessa P.; Yalçın, Yasin
Acknowledging Generative AI’s presence in the higher education classroom, instructors must navigate unclear boundaries around acceptable and unacceptable student use. This quantitative study surveyed 89 instructors across four research‑intensive universities in the United States to examine their perceptions of student Generative AI use and the strategies they adopt to manage it. Findings reveal that instructors construct task-specific acceptability judgments rather than applying university rules, with core writing tasks deemed largely unacceptable while supplementary activities have wider acceptance. A perception-acceptance gap was apparent for writing tasks, showing that instructors suspect widespread AI use for the very activities they find most problematic. Prevention strategies emphasize pedagogical over surveillance approaches, but nonetheless almost 40% of the instructors reported catching students using AI to plagiarize, with most cases resolved informally. Open responses raised themes of an academic integrity crisis, learning concerns, and pragmatic tool use at the course level, with larger concerns about ethical and societal implications of Generative AI and institutional tensions
Serbest ticaret anlaşmalarının Türkiye'nin dış ticaretine etkileri: Çekim modeli ile bir inceleme
(Recep Tayyip Erdoğan Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2022) Cihan, Kezban Ayran; Sandalcılar, Ali Rıza
Serbest Ticaret Anlaşmaları (STA), ekonomik entegrasyon hareketlerinin ilk adımlarından biri olarak görülmektedir. Türkiye, 1996 yılında gümrük birliğine katılarak Avrupa Birliği'nin ortak gümrük tarifelerini kabul etmiş ve ortak ticaret politikalarını da benimsemiş bulunmaktadır. Bu durum sonucunda Türkiye, AB'nin yapmış olduğu STA'lar karşısında dezavantajlı bir konumda yer almaktadır. Ortaya çıkan bu olumsuz durumu bertaraf edebilmek için Türkiye de AB'nin STA yaptığı ülkeler ile STA yapma yoluna gitmektedir. Bu çalışmada Türkiye'nin yapmış olduğu STA'ların dış ticaret üzerine etkileri araştırılmıştır. Bu amaçla ilk olarak STA'ların toplam ihracat ve ithalat üzerine olan etkileri daha sonra ise ürün grupları bazında ihracat ve ithalat üzerindeki etkileri incelenmiştir. 1991-2019 dönemi için Türkiye'nin STA yapmış olduğu ülkeler içinde ticarette payı en fazla olan 12 ülke çalışmaya dahil edilmiştir. Çalışmada uluslararası ticari akımları açıklamak üzere kullanılan yöntemlerden biri olan mekim Modeli kullanılmıştır. Elde edilen sonuçlar STA'ların hem genel dış ticaret hem de ürün grupları bazında ele alınan ticaret üzerinde anlamlı bir etkiye sahip olduğunu göstermiştir. Diğer taraftan ülkeler arasındaki uzaklığın ticareti azaltıcı bir faktör olarak yer aldığı belirlenmiştir. Ayrıca tahmin edilen modeller sonucunda Türkiye'nin bu ülkelerle olan ticaretinde çekim modelinin geçerli olduğu ortaya konmuştur.
