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.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: 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 Citation - WoS: 3Citation - Scopus: 3On Digital Twins in Bioprocessing: Opportunities and Limitations(Elsevier Ltd, 2025) Shariatifar, Mehrdad; Rizi, Mohammadsadegh Salimian; Sotudeh-Gharebagh, Rahmat; Zarghami, Reza; Mostoufi, NavidIntegrating Digital Twins (DTs) in bioprocessing has become a prominent focus within the industry. Despite the challenges associated with implementing this technology in the field, the bioprocessing sector is interested in utilizing it. This is due to its potential to enhance process efficiency and overall profitability. The adoption of DTs is driven by the prospect of online monitoring, control, and optimization, enabling the products with precise and desired characteristics. To realize this objective, researchers propose a novel strategy for implementing DTs in bioprocessing. This involves the development of a hybrid model that combines first principal models and Machine Learning (ML) algorithms. This approach effectively addresses the limitations of previous methods and establishes a closed control loop system, continuously monitoring the system and adjusting input variables to achieve optimal outcomes. This study comprehensively explores various aspects of DTs. Firstly, it discusses the concept and characteristics of DTs, along with an examination of the advantages and challenges associated with their implementation. Secondly, it comprehensively analyzes key factors that directly influence DT implementation, including sensors, data collection, and models. Thirdly, it reviews the implications of Digital Solutions (DS) and DT in downstream and upstream bioprocessing. By providing theories, case studies, and practical frameworks, this work seeks to motivate both researchers and industry practitioners to adopt DT methodologies, thereby facilitating the emergence of enhanced precision, operational efficiency, and economic viability within biomanufacturing.Article Optimizing Inhibitor Injection in Geothermal Wells With Electrical Submersible Pump(Elsevier Ltd, 2025) Aydin, H.; Tezel, S.I.; Erol, S.Electrical submersible pump (ESP) is a reliable artificial lift method to extend productive lifespan of geothermal wells. In the geothermal industry a common practice involves installing ESPs below the well's flashing depth. This placement approach aims to mitigate the risk of mineral precipitation, which can occur when hot geothermal fluids transition to a two-phase state (liquid and vapor) as pressure decreases. Positioning the pump below the flashing depth also prevents pump's underloading and gas cavitation. The inhibitor injection line usually integrated around the ESP string and installed downstream of the ESP motor. However, this standard practice introduces a challenge regarding inhibitor performance. While this placement ensures effective distribution of inhibitors throughout the production flow, the extended travel time from the surface to the point of application at the ESP can diminish inhibitor effectiveness due to continuous exposure to high temperatures throughout the wellbore. This study proposes relocating the inhibitor injection point within the production tubing closer to the flashing depth. This reduces inhibitor travel time from 108 min to 48 min and has the potential to significantly improve inhibitor effectiveness. Consequently, the implementation of capillary tubing is anticipated to yield annual cost savings per wellbore of approximately USD 10,000, coupled with the mitigation of mineral deposits within the studied well equipped with ESP. To evaluate this approach, a wellbore simulation tool and PHREEQC were employed to dynamically model the pressure and temperature profiles alongside the geochemical evolution of the produced fluids in the wellbore. This modeling approach offers significant value by potentially enabling the optimization of inhibitor usage and reducing the length of required inhibitor injection line. © 2024 Elsevier LtdArticle Citation - Scopus: 13Modification of Pea Protein Isolates by High-Intensity Ultrasonication: Functional, Structural and Nutritional Properties(Elsevier Ltd, 2024) Ozkan,G.; Tataroglu,P.; Gulec,S.; Capanoglu,E.The current study aims to modify the functional, physical, structural and nutritional characteristics of pea protein isolate. High-intensity ultrasound treatment was used at 20 kHz frequency and 25 % amplitude for 10 (US10), 20 (US20), or 30 (US30) min. Results indicated that ultrasound application enhanced the protein solubility and zeta potential. When compared to control samples, the foaming capacity (FC) and stability (FS) as well as emulsion activity (EA) and stability (ES) were also increased from 157.5, 42.03, 46.25 and 53.75 % up to 182.5, 81.57, 72.50 and 67.50 %, respectively. Besides, particle size was found to be lower for ultrasound treated samples (92.9–131.1 nm) in comparison to that of untreated commercial pea protein isolate (161.9 nm). Moreover, while the bioaccessibility of pea protein in untreated sample was calculated as 28.90 %, ultrasonication increased the retention of pea protein up to 49.36 %. It can be concluded from the results that the ultrasonication process can be used as an advantageous, green and non-thermal tool for obtaining protein isolates with improved techno-functional properties and nutritional quality. Therefore, this treatment might improve the characteristics, and thus increase the utilization of plant-based proteins, especially pea protein, in various food systems. © 2024Article Citation - WoS: 5Citation - Scopus: 5Rethinking Planning and Nature Conservation Through Degrowth/ Post-Growth Debates(Elsevier Ltd, 2024) Avar,A.A.; Cive,Y.Ö.Based on the critical debates in urban theory, political ecology and urban political ecology literature, this article interrogates the potentialities and limitations of degrowth/post-growth planning, regarding relational, non-dualistic and multi-scalar spatialization of nature conservation. It firstly reveals that pragmatic, technoscientific and “sustainable/ecological urbanism” and market-based nature conservation it incorporates exacerbate socio-ecological crises and socio-spatial inequalities in and beyond cities under the conditions of planetary urbanisation. Second, it interrogates how new market-based nature conservation turned into 'green-grabbing' and primitive accumulation. Having explored the degrowth or post-growth approach in relation to other radical nature conservation approaches (e.g., convivial conservation and global safety network), it interrogates the ways in which post-growth planning deals with socio-spatial aspects of nature conservation. It takes the “degrowth/ post-growth planning” both as an instrument to spatialize radical nature conservation and as an approach addressing socio-ecological injustices and inequalities intersecting at multiple scales. It concludes that the degrowth/ post-growth planning can overcome its limitations and advance its potentialities, drawing from already existing radical conservation and critical approaches in neighbouring disciplines as well as the discipline itself. © 2024 Elsevier LtdArticle Citation - WoS: 2Citation - Scopus: 4Multi-Scale Analysis of the Adhesive Bonding Behavior of Laser Surface-Treated Carbon Fiber Reinforced Polymer Composite Structures(Elsevier Ltd, 2024) Nuhoglu,K.; Aktas,E.; Tanoglu,M.; Barisik,M.; Esenoglu,G.; Martin,S.; Iris,M.E.Laser surface treatment has considerable potential to provide high-quality adhesive-joining of carbon-fiber-reinforced polymer (CFRP) composites by removing contaminants and the top polymer layer and increasing the surface roughness without damaging the fibers. Yet, predicting the failure strength and mechanism of the laser surface-treated adhesively bonded joints under static and cyclic loads is important to designing reliable structures. In this study, a multi-scale Finite Element Analysis (FEA) of the adhesively bonded CFRP composite structures was developed to accurately predict the failure load and damage growth. Numerical simulations of the single lap joint (SLJ) specimen was executed, employing the cohesive zone modeling (CZM) technique between adjacent surfaces to simulate the bonding behavior of the secondary bonded CFRP parts. Using the homogenization procedure, the micro-scale simulation of the contact region of the laser-treated adherent surface and adhesive was performed to extract traction separation law (TSL) parameters. The mechanical interlocking contribution of the laser surface treatment was imported to the macro-scale FEA, analyzing the representative volume element (RVE) of the bonding interface region. We presented that the multi-scale analysis estimated the experimentally measured mechanical behaviour, strength values, and failure modes successfully with a negligible error (7 %). © 2024 Elsevier LtdArticle Citation - WoS: 6Citation - Scopus: 8Numerical Modeling of the Co2 Injection in the Kızıldere Geothermal Field Using Multiple Inter-Well Tracer Tests(Elsevier Ltd, 2024) Sevindik,D.B.; Erol,S.; Akin,S.Many geothermal power plants in Turkey emit high amounts of non-condensable gas (NCG), consisting mainly of CO2. Thus, it is crucial to mitigate the NCG emissions by re-injecting the captured gas back into the reservoir. In this study, a numerical sector reservoir model is developed to inspect how the reinjected NCG dissipates in the reservoir for successful sequestration. To accurately characterize the flow characteristics in the reservoir, chloride concentrations observed at the production wells were matched. Furthermore, two multi-well slug tracer tests (one with NCG injection well and one from the northernmost shallow injection well by using different naphthalene-sulphonates) results have been used to calibrate the numerical model. Consequently, a high degree of quantitative and qualitative characterization of the reservoir section near the injection site has been achieved. Using the calibrated model, the impact of CO2-brine injection has been studied for different injection scenarios with varying injection rates and durations. The results of the CO2-charged brine injection showed that approximately 20 % of the injected CO2 circulates in the reservoir, ensuring reduced CO2 emissions. It has been estimated that 200 Mt of CO2 emission can be safely removed if all injection wells are used for NCG re-injection. © 2024Article Citation - Scopus: 3Development of Chrono-Spectral Gold Nanoparticle Growth Based Plasmonic Biosensor Platform(Elsevier Ltd, 2024) Sözmen,A.B.; Elveren,B.; Erdogan,D.; Mezgil,B.; Bastanlar,Y.; Yildiz,U.H.; Arslan Yildiz,A.Plasmonic sensor platforms are designed for rapid, label-free, and real-time detection and they excel as the next generation biosensors. However, current methods such as Surface Plasmon Resonance require expertise and well-equipped laboratory facilities. Simpler methods such as Localized Surface Plasmon Resonance (LSPR) overcome those limitations, though they lack sensitivity. Hence, sensitivity enhancement plays a crucial role in the future of plasmonic sensor platforms. Herein, a refractive index (RI) sensitivity enhancement methodology is reported utilizing growth of gold nanoparticles (GNPs) on solid support and it is backed up with artificial neural network (ANN) analysis. Sensor platform fabrication was initiated with GNP immobilization onto solid support; immobilized GNPs were then used as seeds for chrono-spectral growth, which was carried out using NH2OH at varied incubation times. The response to RI change of the platform was investigated with varied concentrations of sucrose and ethanol. The detection of bacteria E.coli BL21 was carried out for validation as a model microorganism and results showed that detection was possible at 102 CFU/ml. The data acquired by spectrophotometric measurements were analyzed by ANN and bacteria classification with percentage error rates near 0% was achieved. The proposed LSPR-based, label-free sensor application proved that the developed methodology promises utile sensitivity enhancement potential for similar sensor platforms. © 2024 The Author(s)