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
A case study for re-domestication in Turkish translation system: Texier’s Asie Mineur
(Hacettepe Üniversitesi, 2025) Şirin, Said Emre
Anatolia, as the cradle of civilizations, with its rich cultural, historical, and natural heritage, has attracted not only the peoples living on its lands but also travelers, researchers, and scholars from different geographies. This study examines the translations of French archaeologist Charles Texier’s Asie Mineure, written after his travels and observations in 19th-century Anatolia, into Turkish. The Turkish translations of the work are analyzed within the framework of the concepts of re-domestication, cultural textless back translation, and paratextuality. Originally published in French in 1839, the work was translated into Ottoman Turkish in 1923, and later, in 2002, this version was revised, simplified, and adapted into Modern Turkish Language. During this process, various paratexts were added, and editorial modifications were introduced. A striking aspect of the study is that the significant temporal gap between the two translations is reflected in both the linguistic structure of the work and the translation policies applied. Comparative analysis suggests that the agents of the modern Turkish translation system, finding the domestication of the first translation insufficient, may have adopted a re-domestication policy in the second translation. Ultimately, the study argues that it makes an important contribution to understanding the rich translation and cultural activities spanning from the late Ottoman period to the early Republican era, and that it constitutes a valuable case for translation studies. Thus, the work is regarded not only as a written and linguistic translation product, but also as a source reflecting the diversity of translation policies within their historical context.
The african middle east association of gastroenterology (AMAGE) clinical practice guidelines for the diagnosis and management of metabolic dysfunction associated fatty liver disease
(Elsevier, 2026) Fouad, Yasser; Elwakil, Reda; Sanai, Faisal M.; Ojo, Olusegun; Al Awadhi, Sameer; Ocama, Ponsiano; Abdelaty, Nadia; Al-Busafi, Said A.; Örmeci, Necati; Eslam, Mohammed
Over the past few decades, the profile of liver diseases in Africa and the Middle East has undergone significant changes. The incidence of metabolic dysfunction-associated fatty liver disease (MAFLD) has risen to alarming levels. Despite the seriousness of the situation, there is a scarcity of local or regional guidelines established to address it. This document presents the clinical practice guidelines from the African Middle East Association of Gastroenterology (AMAGE) related to the screening, diagnosis, and management of MAFLD. It addresses multiple aspects of managing this condition while taking into account local circumstances and the healthcare system's management requirements. These guidelines are intended for routine clinical use, with a specific focus on particular groups when needed.
Comparative evaluation of deep learning models for the classification of impacted maxillary canines on panoramic radiographs
(MDPI Publishing, 2026) Tokatlı, Nazlı; Erdem, Buket; Özcan, Mustafa; Turan Maviş, Begüm; Şar, Çağla; Özdemir, Fulya
Background/Objectives: The early and accurate identification of impacted teeth in the maxilla is critical for effective dental treatment planning. Traditional diagnostic methods relying on manual interpretation of radiographic images are often time-consuming and subject to variability. Methods: This study presents a deep learning-based approach for automated classification of impacted maxillary canines using panoramic radiographs. A comparative evaluation of four pre-trained convolutional neural network (CNN) architec tures—ResNet50, Xception, InceptionV3, and VGG16—was conducted through transfer learning techniques. In this retrospective single-center study, the dataset comprised 694 an notated panoramic radiographs sourced from the archives of a university dental hospital, with a mildly imbalanced representation of impacted and non-impacted cases. Models were assessed using accuracy, precision, recall, specificity, and F1-score. Results: Among the tested architectures, VGG16 demonstrated superior performance, achieving an accuracy of 99.28% and an F1-score of 99.43%. Additionally, a prototype diagnostic interface was developed to demonstrate the potential for clinical application. Conclusions: The findings underscore the potential of deep learning models, particularly VGG16, in enhancing diag nostic workflows; however, further validation on diverse, multi-center datasets is required to confirm clinical generalizability.
FeSbO4 nanomalzeme destekli katı faz mikroekstraksiyonu kullanarak nikel tayini için duyarlı bir analitik yöntemin geliştirilmesi
(Yıldız Technical University Publishing, 2025) Büyük, Muhammed Ali; Serbest, Hakan; Bakırdere, Sezgin
Bu çalışmada, alevli atomik absorpsiyon spektrometresine entegre edilen katı faz mikroekstraksiyon yöntemiyle nikel (Ni) elementinin ön deriştirilmesi amaçlanmıştır. Katı faz adsorbanı olarak FeSbO₄ kimyasal bileşimine sahip, doğal bir mineral yapı olan tripuhit tercih edilmiştir. Laboratuvar ortamında sentetik olarak elde edilen bu nanoyapılar, sırasıyla ultra saf su ve kekik çayı örnekleri içerisindeki nikel iyonlarını yüzeylerine adsorplayarak ekstraksiyon işlemi için kullanılmıştır.
HL23‐5 ve HL23‐6 7075‐T6 alüminyum HI‐LOK vidalı pinler için çekme ve kesme test fikstürlerinin tasarımı ve sonlu elemanlar analizi
(Güven Plus Grup Danışmanlık A.Ş. Yayınları, 2025) Demirel, Yusuf Soner; Acar, Ayberk Okan; Tanrıver, Kürşat; Ay, Mustafa
Öz: Bu çalışmada, havacılık ve savunma uygulamalarında kullanılan HL23-5 ve HL23-6 tipi 7075-T6 alüminyum vidalı pinlerin çekme ve kesme testlerine yönelik özel test fikstürlerinin tasarımı ve sayısal doğrulaması ele alınmıştır. Pinlerin geometrik kısıtları nedeniyle evrensel test makinelerinde doğrudan test edilememesi, fikstür tasarımını zorunlu kılmaktadır. Bu kapsamda geliştirilen fikstürler SolidWorks ortamında modellenmiş; Toolox 33, AISI 304 ve AISI 4140 malzemeleri kullanılarak ANSYS 2025 akademik sürümünde sonlu elemanlar analizleri gerçekleştirilmiştir. Çekme ve kesme yükleme koşullarını kapsayan analizlerde gerilme dağılımları, deformasyonlar ve emniyet katsayıları karşılaştırılmıştır. Elde edilen sonuçlar doğrultusunda, deneysel testler için en uygun fikstür geometrisi ve malzeme seçimi belirlenmiş; çalışmanın küçük çaplı havacılık tipi vidalı pinlerin mekanik karakterizasyonu için güvenilir ve tekrarlanabilir bir test altyapısı sunması hedeflenmiştir.
