Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
Browse
42 results
Search Results
Now showing 1 - 10 of 42
Article Robust CVD Polymer Encapsulation for Thermally and Chemically Resistant Fluorescent Sensor Nanoprobes(Elsevier Ltd, 2026) Karabıyık, M.; Cihanoğlu, G.; Ebil, Ö.Semiconductor quantum dots (QDs) are attractive fluorophores for sensor applications due to their narrow emission bandwidths and high photostability; however, their performance is often limited by insufficient chemical and thermal durability under operating conditions. In this study, a solvent-free encapsulation strategy based on initiated chemical vapor deposition (iCVD) is proposed to enhance the stability of QD-based sensor nanoprobes. Cross-linked poly (glycidyl methacrylate-co-ethylene glycol dimethacrylate) (ECOP) thin films were conformally deposited as encapsulation layers onto CdTe QD-functionalized poly(GMA) sensor surfaces. The encapsulated nanoprobes were evaluated under chemically aggressive environments (water, salt water, toluene, and sulfuric acid) and elevated temperatures. Following exposure to aggressive solvents, both the polymer film thickness variation and QD fluorescence intensity change remained below 10 %, confirming the robustness of the cross-linked network. Also, thermal durability tests showed stable fluorescence performance after annealing at 250 °C, with structural and optical changes remaining within the accepted 10 % threshold. The results demonstrate that coatings deposited using iCVD exhibit conformal coverage and enhanced stability. This enables reliable protection of QD-based sensor nanoprobes without compromising optical performance. This study presents a promising method to extend the operational lifetime and environmental durability of QD-integrated sensor platforms by using chemically and thermally stable polymer encapsulation. © 2026 Elsevier LtdArticle Geothermal Drying in Agricultural Sector - Worldwide Examples(Elsevier Ltd, 2026) Tomaszewska, B.; Baba, A.; Akkurt, G.G.; Mukti, M.; Helvaci, H.U.; Bielec, B.; Operacz, A.Agricultural drying is traditionally used to preserve fruits and vegetables which mostly relied on energy-intensive processes usually powered by fossil fuels. In this review, we explore an innovative and sustainable alternative: using geothermal energy to dry produce. The paper reviews the main technical aspects related to the use of geothermal energy in drying fruits and vegetables. We delve into the technical details of two leading methods, hot air drying and refractive window drying, highlighting their advantages, drawbacks, and the critical factors that influence the quality of the final product. By examining real-world applications from countries as diverse as Iceland, the USA, Greece, Turkey, Macedonia, Kenya, Serbia, El Salvador, Guatemala, Mexico, Thailand, Poland, and the Philippines, this paper showcases how geothermal energy can be directly applied in drying operations—whether through standalone systems operating between 60 °C and 97 °C or integrated cascade systems wherever geothermal resources are used for power generation and in the form of the waste heat for drying purposes, can be considered as important direction. Due to a lack of actual information on the economic aspects of geothermal drying, in addition to outlining the technical merits of geothermal drying, we also discuss economic considerations and potential challenges to provide a roadmap for future projects. Moreover, the authors underlined several aspects that can contribute to the failure or limited success of geothermal drying projects. Ultimately, adopting geothermal drying not only reduces greenhouse gases (GHS) emissions but also lessens dependence on costly, polluting fossil fuels, paving the way for a greener, more energy-efficient future in food preservation. © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.Article Floating Pontoons to Reduce Wave Overtopping at a Vertical Seawall: An Experimental Study(Elsevier Ltd, 2026) Eroglu, N.; Ozbahceci, B.Coastal flooding caused by extreme wind, wave and water level conditions is an increasing concern, particularly for historical coastal cities where conventional flood defenses may be unsuitable due to aesthetic and cultural constraints. Floating structures have gained attention for their adaptability to sea level rise, yet previous studies have mainly examined wave transmission rather than their capacity to reduce wave overtopping. This study presents the first experimental investigation to directly measure wave overtopping for floating pontoons placed in front of a vertical seawall. Tests were conducted in a controlled wave flume environment to evaluate the effects of pontoon geometry, mooring type, and distance from the seawall on overtopping performance. The results show that floating pontoons can significantly reduce wave overtopping. Overtopping reductions of 75–98 % was achieved, with the most effective configuration combining high freeboard and large draft (1.5 m prototype scale). Wave transmission was also measured and compared with existing prediction formulas. When the transmitted wave height is used in EurOtop (2018) formula, overtopping rate is overestimated particularly when the relative crest freeboard exceeds 0.75 as differences in wave steepness, spectral period and directional spreading induced by the floating pontoon are not captured by the formula. To improve predictive capability, a new influence coefficient (γ<inf>fp</inf>) is proposed to modify Eq. 7.5 in EurOtop (2018) for cases involving pile-guided floating pontoons. These findings provide new experimental evidence on wave–structure interaction and highlight the potential of floating pontoons as effective, adaptable, and visually compatible flood mitigation solutions for vulnerable coastal regions. © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.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 An AI-Based Solution for Warehouse Safety: Video Surveillance System Based Anomaly Detection in Equipment-Human Interactions with Vanilla Autoencoder(Elsevier Ltd, 2025) Elçi, T.; Unlu, M.The significant growth of the logistics sector in recent years has resulted in the expansion of warehouse operations and an increased use of equipment, leading to a rise in workplace accidents. These incidents are predominantly attributed to factors such as carelessness, fatigue, high work intensity, individual behaviors, lack of experience, insufficient training, and employee negligence. To enhance warehouse safety, it is essential to implement a system capable of real-time prediction of human-equipment interactions. This study proposes a comprehensive video surveillance framework designed to improve occupational safety in warehouse environments. The system integrates key components, including object detection, object tracking, action recognition, and alarm classification, to effectively reduce risks and prevent accidents.The system employs YOLOv7, a deep learning model with the ability to quickly and accurately detect objects in a single network pass, as the object detection methodology, and DeepSORT, an algorithm for object tracking that assigns unique identifiers to each object and utilizes deep learning techniques to improve tracking performance. The action detection component of the system introduces a novel approach by analyzing and identifying actions and movements while detecting anomalies and potential risks. By leveraging features such as the speed, tags, movement direction, and coordinate data of individuals and equipment, the system estimates alarm levels and generates corresponding alarms, providing an innovative and dynamic solution for real-time risk assessment. The system, tested to demonstrate technological capabilities such as real-time responsiveness and high operational success rates, is designed to predict accidents in warehouse environments, generate alarms, and significantly reduce the risk of occupational accidents. © 2025 The Franklin Institute. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.Article Scattering of Water Waves by a Truncated Vertical Cylinder of Arbitrary Cross Section: Asymptotic Analysis(Elsevier Ltd, 2025) Disibuyuk, N.B.; Yilmaz, O.Scattering of water waves by a vertical truncated cylinder of arbitrary cross-section is investigated using the linear theory and asymptotic analysis. The flow domain is divided into the exterior and interior regions. The linearized boundary value problem is solved by the method of matched eigenfunctions and in an asymptotic manner that deals with the arbitrary geometry of the cross section. The cross-section shape is expanded in a Fourier series involving a small parameter that represents the deviation of the geometry from a circle. The advantage of this method is that the wave forces on the cylinder are obtained in terms of the coefficients of the Fourier series of the cylinder shape. For the case of a circular cylinder, exact analytical results are recovered. Cylinders with cross-section geometries of cosine-type radial perturbations and of a quasi-ellipse are considered for validation of the present method. Good agreement with the published results is obtained with the first and second-order asymptotic orders. New graphical analyses based on the problem parameters are presented for a vertical elliptical cylinder. Long-wave approximations of wave forces are obtained for cylinders whose cross-sections are not too different from a circle. © 2025 Elsevier LtdArticle Citation - WoS: 3Citation - Scopus: 3Nonlocal Static Modeling of Laminated Composite Shells Using Peridynamic Differential Operator in a Higher-Order Shear Deformation Framework(Elsevier Ltd, 2025) Bab, Yonca; Dorduncu, Mehmet; Kutlu, Akif; Markert, BerndThis study investigates the flexural behaviour of the laminated composite shells in the framework of Higher-Order Shear Deformation Theory (HSDT) and Peridynamic Differential Operator (PDDO), namely PD-HSDT, for the first time. Laminated composite shell structures are widely used in aerospace, automotive, and marine industries due to their high strength-to-weight ratio and design flexibility. Therefore, understanding their mechanical behavior under various loading conditions is crucial for ensuring structural reliability and performance optimization. However, such structures may possess complex curvatures and highly heterogenous laminate stackings, leading to inaccurate numerical stress analyses. The HSDT successfully captures displacement and stress distributions as well as cross-sectional warping through higher-order functions exist in the kinematics. Moreover, the PDDO represents the local derivatives in their nonlocal form, making it well-suited for problems involving higher-order derivatives and discontinuities. The governing equations and boundary conditions of the HSDT are solved by using the PDDO to accurately achieve the stress and displacement fields in the laminated composite shells. The robustness of the PD-HSDT is established by considering various loading and boundary conditions. The proposed approach demonstrates high accuracy in stress and displacement predictions when validated against reference solutions available in existing literature. This indicates strong potential for extending the methodology to more complex loading scenarios and damage mechanisms in future studies.Article Citation - WoS: 3Citation - Scopus: 3A Novel Hybrid Thin Jacketing Method for Seismic Retrofitting of Substandard Reinforced Concrete Columns(Elsevier Ltd, 2025) Narlitepe, Furkan; Kian, Nima; Demir, Ugur; Demir, Cem; Ilki, AlperThis paper introduces a novel hybrid thin jacketing method for seismic strengthening of substandard reinforced concrete (RC) columns for which structural repair mortar along with carbon fiber reinforced polymer (CFRP) and longitudinal steel bars are utilized. The method involves three application phases comprising a) removing the cover concrete, b) re-forming the cover concrete with structural repair mortar just after installing extra longitudinal steel bars c) transverse wrapping of CFRP sheets. The effect of using different types of structural repair mortar and its application process are other test parameters taken into account in this study. To evaluate the efficacy of the proposed method, a comprehensive experimental program was conducted, consisting of six largescale RC column specimens with square and rectangular cross-sections. For all of the specimens tested under a simultaneous constant axial load and reversed cyclic lateral loading, three main properties representing existing substandard RC columns such as a) insufficient transverse reinforcement, b) high axial load ratio (0.75) and, c) relatively high shear force corresponding to moment capacity to shear capacity ratios between 0.60 and 0.80, were considered. The responses of specimens were specified in terms of the lateral load-displacement curves, stiffness variation, ductility ratios, damage progression, and energy dissipation. The experimental results demonstrated that in case the retrofitting method is properly applied, the strengthened columns exhibit satisfactory performance in terms of strength and ductility with a remarkable improvement with respect to the substandard columns. Furthermore, a numerical study was conducted to validate the experimental results by using the OpenSees framework.Article Influence of Fluorine on Structural and Electrical Properties of VO2 Thin Films Deposited by Magnetron Sputtering(Elsevier Ltd, 2025) Akyurek, Bora; Cantas, Ayten; Demirhan, Yasemin; Ozyuzer, Lutfi; Aygun, GulnurThis study investigates whether fluorine-based thermal gel used during electrical measurements of vanadium oxide (VO2) films influences the structural, morphological, or compositional integrity of the films. High-quality VO2 films with a resistance ratio change of about 10(4) for metal-insulator transition were deposited by magnetron sputtering. During electrical characterization, VO2 film was heated from room temperature to similar to 370 K with a fluorine-based thermal gel usage to achieve better heat contact between the film and substrate holder. Structural and chemical properties were assessed through XRD, Raman, XPS, SEM, and energy dispersive spectroscopy imaging. XRD revealed diffraction peaks consistent with monoclinic VO2 confirming that the crystal lattice remains the same although fluorine based thermal gel was used. Raman spectra exhibited vibrational modes indicating that the phonon structure of VO2 was preserved despite fluorine gel usage. XPS results showed only a minor F 1s signal (2.8%) limited only to the film surface. SEM and EDS analyses further confirmed that surface morphology and elemental composition remained belonging to VO2 film. These findings demonstrate that the usage of fluorine-based thermal gel results in only a minimal surface interaction, thereby preserving intrinsic material properties of VO2 and supporting a potential usage for future device fabrication applications.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 Authors