Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Reconstructing Lost Heritage: Digital Presentation of 19th Century Rural Landscape of Gülbahçe (İzmir, Türkiye)(Elsevier Ltd, 2026) Tabur, Beylem Doğa; Kul, F.N.This study aims to provide an original methodological framework for the digital reconstruction of Gülbahçe, a historically layered settlement in western Anatolia, Türkiye, which has experienced significant transformations and heritage loss over time. Confronting the challenge of limited documentation regarding its original condition, the study employs hypothetical spatial assumption by integrating comparative typologies, oral history, architectural drawings, and environmental data to digitally reconstruct the village's 19th century spatial and cultural character. This character evolved dramatically following the 1922 population exchange and was further transformed in the 1970s through tourism-driven urban development, the establishment of a university campus, and counter-urbanisation triggered by pandemics and earthquakes. The novelty of this research lies in addressing a critical methodological gap within digital heritage studies by introducing a geometry-based reconstruction technique specifically created for data-scarce heritage contexts often excluded from approaches reliant on rich archival or photogrammetric datasets. The proposed method integrates limited data within a transparent, evidence-based process that presents both the reliability level and the interpretive assumptions behind each modelling decision. By producing a historically grounded and immersive digital environment, the approach responds to the technical and ethical challenges of representing lost heritage, reinforcing discussions on interpretive accountability, community memory, and intercultural dialogue. Ultimately, this interdisciplinary and ethically informed methodology positions digital reconstruction as both an analytical and communicative tool—an adaptable model for documenting, responsibly interpreting, and conveying heritage that has been physically lost but remembered for its cultural significance and is under threat from urbanisation or environmental change. © 2025 Elsevier Ltd.Article Elasto-Plastic Phase-Field Modeling of Fracture in FDM-Printed ABS Components: Numerical Implementation and Experimental Validation(Taylor and Francis Ltd., 2025) Dengiz, C.G.; Yorulmazlar, B.; Dorduncu, M.; Taşdemirci, A.This study presents a computational framework for predicting fracture behavior in 3D-printed acrylonitrile butadiene styrene (ABS) components using an elasto-plastic phase-field approach (PFA) implemented within the ABAQUS finite element environment. A user-defined element (UEL) subroutine is employed to solve the coupled displacement and damage equations through a staggered scheme. The model captures crack initiation and propagation under various stress states and specimen configurations, including pure shear, oblique shear, and tensile loading, without requiring predefined crack paths or remeshing. Numerical predictions are validated against experimental results, showing strong agreement in both force–displacement response and failure morphology. Parametric studies are conducted to assess the influence of mesh size, time increment, length scale parameter, and critical energy release rate on fracture response. The results demonstrate that while the peak reaction force is largely insensitive to these parameters, displacement at fracture and damage localization are significantly affected. The calibrated model successfully captures elasto-plastic fracture evolution in printed ABS specimens, confirming its robustness and generalizability. The proposed framework offers a reliable tool for failure analysis of polymer-based additively manufactured components and establishes a foundation for future extensions involving anisotropy, fatigue, and microstructural heterogeneity. © 2025 Taylor & Francis Group, LLC.Article Amino Acid Selection Altered Silver Nanoparticles Morphology and Formation of Silver Oxide Layers(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Bolat, Ş.; Sancak, Z.; Gumus, A.; Yazgan, I.Amino acids are not just monomers of proteins, but they can also carry biological functions. L-cysteine (Cys), L-proline (Pro), L-asparagine (Asn), and L-glutamic acid (Glu) were used to evaluate how different amino acid chemistries alter the morphology and size of the silver nanoparticles (AgNPs) synthesized in the presence of two carbohydrate ligands, which were lactose methoxyaniline (LMA) and galactose 5-aminosalicylic acid (G5AS). UV–vis, infrared (IR), High-Resolution Transmission Electron Microscopy (HR-TEM) and X-ray diffraction (XRD) characterizations revealed that the effect of amino acids on the characteristics of the AgNPs showed dependence on the carbohydrate ligand chemistry. In the case of LMA, AgNPs shifted from aggregates to anisotropic nanoparticles, larger aggregates, and a mixture of anisotropic and 1D nanoparticles in the presence of Cys, Glu, Asn and Pro amino acids, respectively. In contrast to this, the introduction of Cys and Asn caused the formation of cluster-like AgNPs and larger rounded nanoparticles, while G5AS-synthesized AgNPs were multigonal 0D particles. Moreover, Glu and Pro contributed the resistance of silver oxide formation on the particles. Antibacterial characterization showed that LMA_Glu_AgNPs were the most effective ones, while LMA_Cys_AgNPs and G5AS_Cys_AgNPs, which were the smallest AgNPs, did not show any significant antibacterial activity. © 2025 Elsevier B.V., All rights reserved.Editorial Preface of Special Issue: Recent Advances in Cancer Biosensors & Diagnostics(Elsevier Ltd, 2025) Yildiz, A.A.; Parlak, O.; Gürsan, A.E.Article Citation - Scopus: 1Evaluating the Seismic Performance of Advanced Tuned Mass Dampers Considering Soil–Structure Interaction Effect(Springer Science and Business Media Deutschland GmbH, 2025) Shahraki, M.A.; Roozbahan, M.This study examines the seismic effectiveness of four different tuned mass damper (TMD) configurations: classical TMD, Tuned Mass Damper Inerter (TMDI), Elastoplastic Tuned Mass Damper Inerter (PTMDI), and Dual-Stiffness Tuned Mass Damper (DSTMD), focusing on their ability to reduce structural responses. A model of a 10-story steel shear frame is used, accounting for soil–structure interaction (SSI) effect to represent realistic conditions. The damper parameters are optimized using the Mouth Brooding Fish (MBF) algorithm with a hybrid objective function combining normalized peak displacement and kinetic energy reduction. The optimization process is tested against fourteen near- and far-field earthquake scenarios, with an additional ten records used to validate performance. The findings reveal that, under fixed-base conditions, TMD and TMDI achieve the largest displacement reductions (37.6% and 37.5%, respectively), while PTMDI provides the greatest kinetic energy mitigation (56.4%). DSTMD shows moderate reductions in both responses (≈ 23% displacement, 29.3% energy). When soil–structure interaction is considered, the efficiency of all systems decreases. TMDI maintains the best displacement reduction (12.9%), whereas PTMDI offers the highest energy reduction (25.5%). Additional assessments of roof acceleration and base shear highlight important trade-offs, stressing the importance of a multidimensional evaluation. In summary, this research underscores the significance of energy-based metrics and the influence of the SSI effect in evaluating dampers. Instead of advocating for or against any specific system, the analysis offers a comparative perspective on their performance under various conditions, helping to inform decisions in performance-based seismic design. © 2025 Elsevier B.V., All rights reserved.Conference Object Microarc: Event Driven Analysis and Design Method for Microservices(Elsevier B.V., 2025) Yıldız, Ali; Demirors, OnurThe rapid development of the Internet infrastructure has enabled software applications to leverage almost unlimited and scalable resources. Microservice-based architecture has emerged as a solution to harness the benefits of a distributed cloud-based infrastructure. Event-driven architecture is a powerful approach for addressing challenges in distributed systems, such as scalability, distributed data, and sharing of data at scale. In an event-driven microservice architecture, decoupled services interact by responding to events and event streams facilitate data sharing between them. Despite these advantages, there is no de facto method for the analysis and design of systems within microservice architecture. Organizations often face difficulties in developing microservice-based systems, owing to the lack of well-defined methodologies for analysis and design. In this study, we present an analysis and design method for microservice-based systems. MicroArc is a method for analyzing and designing microservice-based systems, and comprises modeling notations, guiding processes to articulate how the method is applied, and a supporting tool for modelling. The MicroArc approach enables the identification of events and microservice candidates by modeling the flow of processes in the early phase of development. © 2025 Elsevier B.V., All rights reserved.Article Dam Body Sediment Movement on Rough Bed Downstream Due to Earthfill Dam Break(Taylor & Francis Ltd, 2025) Aksoy, Aysegul Ozgenc; Dogan, Mustafa; Tayfur, GokmenThis study investigated movement of flow and sediment due to earthfill dam failure induced by piping and overtopping, using 12.8 m laboratory flume. Dam (60 cm high, 202 cm base width) was built in three zones with two sediment sizes, and downstream channel included a rough bed of cubic blocks. Water levels were monitored with sensors, and final sediment profiles were mapped via laser scanning. Results showed that dam body eventually collapses (in 265 s after the piping, and in 100 s after the overtopping start) while flood flow carries a great portion of its sediment away. Sediment spreading occurred all over downstream area with significant variation in non-uniform thickness (15 cm to 1 cm). In the residential area, the sediment depth variation ranged from 12 cm to 6 cm. The blocks were submerged under muddy flow in both modes of failures. Higher flow levels (22 cm) were observed over smooth bed than rough bed (15 cm), in overtopping break. This was almost the opposite in the piping failure mode (13 cm in smooth, and 15 cm in rough bed case). These findings highlights the dominant role of failure mechanism and bed roughness in sediment transport and flood dynamics.Article Integrating QSAR Analysis and Machine Learning To Explore the Antidiabetic Potential of Natural Compounds(AMG Transcend Association, 2025) Sincar, B.; Yalcin, D.; Bayraktar, O.This study explores the antidiabetic potential of 72 natural compounds using molecular descriptors and QSAR modeling combined with machine learning techniques. The dataset includes 11 experimentally obtained compounds and 61 from the literature, characterized by their IC50 values indicating 50% inhibition of α-glucosidase enzyme activity. Molecular descriptors were generated using ChemAxon’s MarvinSketch and PADEL software, narrowing down over 3000 descriptors to 23 relevant features. Statistical analysis revealed significant multicollinearity among variables, necessitating the application of non-linear machine learning models, namely Random Forest and Gradient Boosting. These models demonstrated predictive capabilities with R² values of 0.7751 and 0.8066, respectively, and highlighted molecular weight and the number of heteroatoms in ring structures as critical features influencing IC50 values. Despite the dataset's variability and limited size, the study underscores the potential of integrating QSAR and machine learning approaches to effectively predict the antidiabetic activity of natural compounds. The findings provide valuable insights for advancing computational methods in drug discovery. © 2025 by the authors.Article Citation - Scopus: 2Digital Sensing Technologies in Cancer Care: a New Era in Early Detection and Personalized Diagnosis(Elsevier Ltd, 2025) Yucel, M.; Önder, A.; Kurt, T.; Keles, B.; Beyaz, M.; Karadağ, Y.; Yildiz, U.H.Digital sensor platforms are systems that integrate sensors with digital technology, which revolutionize data collection, processing, and transmission for enabling real-time, high-precision and automated diagnostics. These platforms often serve as the backbone of modern monitoring systems, enabling real-time data acquisition and analysis for a wide range of applications. Recent advancements in digital sensor platforms have paved the way for transformative innovations in cancer diagnosis. These cutting-edge technologies offer unprecedented opportunities to facilitate early detection, improve diagnostic accuracy, and personalize treatment methods. This review explores the landscape of digital sensor platforms in the context of cancer diagnosis, providing an overview of their principles, functionalities, and clinical applications. The review further illustrates that biosensors, lab-on-a-chip (LOC) devices and wearable sensors have leveraged on nanotechnology, biorecognition materials and artificial intelligence (AI) for revolutionizing cancer diagnosis. It consolidates the recent advances in digital sensor platforms for cancer diagnosis and the associated critical challenges, such as regulatory concerns, standardization, and ethical considerations. Further, the review summarizes the feasibility for the integration of digital sensor platforms with routine clinical practices for the development of efficient cancer diagnosis and treatment methods. © 2025 The AuthorsArticle Residues of the British Informal Empire: the Smyrna-Aydın Railway's Punta Square as the Future Centre of "Colonial" Smyrna(Routledge, 2025) Sheridan Gun, I.T.; Erten, E.Railways played a pivotal role in the Industrial Revolution, inspired by the expansion of colonial ambitions. They were often accompanied by infrastructural landmarks as postal offices, churches, and hospitals, representing imperial authority and connectivity. While the presence of these enclaves within colonies has been extensively studied, their significance in non-colonised regions, particularly within the Ottoman Empire, has received insufficient attention. The transformation of Smyrna (modern-day Izmir, Turkey) in the late nineteenth century reflects a reorganisation that aligned with Britain’s gentlemanly capitalism and imperialism. This paper aims to shed light on this subject through a detailed analysis of the Punta Railway Station and its surrounding area. Often relegated to a footnote in historical narratives as a “Little British Town,” the study area warrants re-evaluation in the context of informal imperialism. It illustrates how British colonial influence shaped Punta’s spatial and functional dynamics, embodying the concept of colonised spaces without formal colonisation. © 2025 Elsevier B.V., All rights reserved.