Aksaray Üniversitesi Kurumsal Akademik Arşivi
DSpace@Aksaray, Aksaray 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 telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Determination of Anatolian Plate’s tectonic block boundaries with clustering analysis using GNSS sites velocities
(Taylor and Francis Ltd., 2025) Şafak Yaşar, Şeyma; Tiryakioğlu, İbrahim; Aktuğ, Bahadır; Erdoğan, Hediye; Özkaymak, Çağlar
The Anatolian Plate is an important tectonic structure containing different types of faults. In this study, block boundary studies were performed by clustering analysis using horizontal velocity data for 841 GNSS sites located on the Anatolian Plate. Four algorithms were used to determine the most appropriate cluster number. Cluster analysis was performed with K-means analysis. Different to other studies, the analysis included the location parameter for the GNSS sites in the cluster analysis. Generally block boundaries followed active fault zones and surface ruptures forming as a result of earthquakes. In this block study, 3 previously undocumented block boundaries were defined based on GNSS data. When all parameters are assessed in cluster analysis, the most appropriate cluster number was determined to be 9.
Damage detection in aircraft engine borescope inspection using deep learning
(Springer Science and Business Media Deutschland GmbH, 2025) Uzun, Ismail; Tolun, Mehmet Reşit; Sarı, Filiz; Alpaslan, Ferda Nur
Aircraft engine inspection is a key pillar of aviation safety as it helps to maintain adequate performance standards to ensure engine airworthiness. In addition, it is also vital for asset value retention. Borescope inspection is currently the most widely used visual inspection method for aircraft engines. However, borescope inspection is a time-consuming, subjective, and complex process that heavily depends on the experience and attention level of the inspector. Moreover, the cost savings of airlines and the maintenance, repair, and overhaul (MRO) centers expose pressure and workload on inspectors. These factors make an automated system to support damage detection during borescope inspection necessary in order to mitigate potential risks. In this paper, we propose a deep learning-based automated damage detection framework that employs aircraft engine borescope inspection images. Faster R-CNN-based deep learning model with Inception v2 feature extractor is utilized for the present architecture. Due to the limited number of images, data augmentation and other overfitting methods are also employed. The framework supports crack, burn, nick, and dent damage types across all modules of turbofan engines. It is trained and validated with moderate to complex borescope images obtained from the field. The framework achieves 92.64% accuracy for crack, 92.05% for nick or dent, and 81.14% for burn damage classes, with an overall 88.61% average accuracy.
Prevalence and Molecular Characterization of Moniezia Species in Ruminants Based on ITS1-5.8S rRNA from Van Province, Turkey
(University of Agriculture, 2025) Yılmaz, Ali Bilgin; Azizoğlu, Erkan; Adizel, Özdemir; Göz, Yaşar; Çelik, Burcak Aslan; Çelik, Özgür Yaşar; Ayan, Özge Oktay; Akhmetzhanova, Aizhan; Ayan, Adnan; Yasul, Muhammed; Myrzhiyeva, Assem; Uslu, Uğur
This study aimed to calculate the occurence of Moniezia species in cattle, sheep, and goats in Van province and to identify these species using morphological and molecular methods (ITS1-5.8S rRNA gene region analysis). Additionally, the study aimed to identify the genetic differences between Moniezia expansa and Moniezia benedeni. During the summer of 2022, intestinal contents were collected from 150 ruminants (50 cattle, 50 sheep, and 50 goats) slaughtered in slaughterhouses in Van province. The parasites were examined using Aceto-Carmine staining, and species identification was based on interproglottidal glands. Examination of the intestinal contents revealed that 2 out of 50 cattle (4%), 14 out of 50 sheep (28%), and 9 out of 50 goats (18%) were infected with Moniezia. Morphological and molecular analyses showed that the cattle samples were identified as Moniezia benedeni, goats samples as Moniezia expansa and those from sheep as 11 Moniezia expansa and 3 Moniezia benedeni. Following DNA extraction, the ITS1-5.8S rRNA gene region was amplified using PCR and subjected to sequence analysis. The relationship between species was examined by phylogenetic tree. This study confirms the prevalence of Moniezia spp. in Van/Türkiye by using the ITS1-5.8S rRNA gene.
Travelling and Cycling: Borders and Borderscapes in Thomas Stevens’s Around the World on a Bicycle
(Istanbul University Press, 2025) Öğünç, Ömer
This study focuses on the representation of borders and the role of the borderscape in the travelogue Around the World on a Bicycle (1887) written by Thomas Stevens. As the text is examined as a narrative of bordering and debordering practices in the context of recent theoretical approaches to border lines and borderscapes, such practices invite a comprehensive analysis as regards their function and role in the life and identity of the traveller. Travel writing is mostly embedded with tendencies and burdens to meet requirements emanating from colonial and oriental discourses, whereas Stevens adopts a challenging outlook on his journey with the precise mission of moving forward, and inevitably crosses borders to circumnavigate the world. Instead of visiting a particular landscape, country, or people, he transcends great distances to accomplish this mission, which dissociates him from many travellers in the travelling world. His settings enable readers to observe the interaction between others on each side of a border. Through repetitive encounters between Thomas Stevens and the borders on his path, social, cultural, ethnographic, and individual dimensions of these incidents initially create and, then, call for the discussion of borderscapes as they expose various forms of identity resulting from the dichotomy between such notions as home and away. Therefore, this study illustrates the diversity of interactions and identities formed by means of border crossings and borderscapes in the context of Stevens’s travelogue about his journey on a bicycle around the world.
A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability
(John Wiley and Sons Inc, 2025) Ensari, Esra; Akyol Önder, Esra Nagehan; Ertan, Pelin
This study evaluated the reliability, quality, and readability of ChatGPT (OpenAI, San Francisco, CA), Gemini (Google, Mountain View, CA), and Copilot (Microsoft Corp., Washington, DC) which are among the most widely used large language models (LLMs) today in answering frequently asked questions (FAQs) related to pediatric dialysis. Methods: A total of 45 FAQs were entered into LLM. The Modified DISCERN (mDISCERN) scale assessed reliability; the Global Quality Score (GQS) evaluated quality; and readability was assessed using five metrics: Coleman-Liau Index (CLI), Simple Measure of Gobbledygook (SMOG), Gunning Fog Index (GFI), Flesch Reading Ease (FRE) and Flesch–Kincaid Grade Level (FKGL). Questions were directed to the chat robots twice, on January 25, 2025, and February 1, 2025. Results: All three chatbots displayed high reliability, achieving median mDISCERN scores of 5. Quality scores on the GQS were similarly high, with median scores of 5 across platforms; however, Gemini exhibited greater variability (range 1–5) compared to ChatGPT-4o and Copilot (ranges 3–5). Readability scores revealed that chatbot responses were written at an advanced level. Conclusion: This study found that LLMs responses to dialysis FAQs were reliable and high quality, but difficult to read; improving readability through expert-reviewed content could increase their impact on public health.
