Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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Article Future Circular Collider Feasibility Study Report: Volume 3 Civil Engineering, Implementation and Sustainability(Springer Science and Business Media Deutschland GmbH, 2025) Benedikt, M.; Zimmermann, F.; Auchmann, B.; Bartmann, W.; Burnet, J.P.; Carli, C.; Zykova, M.Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability aspects. The report details the iterative improvements made to the civil engineering concepts since 2018, taking into account subsurface conditions, accelerator and experiment requirements, and territorial considerations. It outlines a technically feasible and economically viable civil engineering configuration that serves as the baseline for detailed subsurface investigations, construction design, cost estimation, and project implementation planning. Additionally, the report highlights ongoing subsurface investigations in key areas to support the development of an improved 3D subsurface model of the region. The report describes the development of the project scenario based on the ‘avoid-reduce-compensate’ iterative optimisation approach. The reference scenario balances optimal physics performance with territorial compatibility, implementation risks, and costs. Environmental field investigations covering almost 600 hectares of terrain—including numerous urban, economic, social, and technical aspects—confirmed the project’s technical feasibility and contributed to the preparation of essential input documents for the formal project authorisation phase. The summary also highlights the initiation of public dialogue as part of the authorisation process. The results of a comprehensive socio-economic impact assessment, which included significant environmental effects, are presented. Even under the most conservative and stringent conditions, a positive benefit-cost ratio for the FCC-ee is obtained. Finally, the report provides a summary of the studies conducted to document the current state of the environment. © 2025 Elsevier B.V., All rights reserved.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.Article Passive Matrix Schottky Barrier 2d Photodiode Array on Graphene/Soi Platform(Springer Science and Business Media Deutschland GmbH, 2025) Yanilmaz, A.; Ünverdi, Ö.; Çelebi, C.We fabricated 4 × 4 pixel two-dimensional (2D) photodiode array (PDA) out of monolayer graphene and n-type silicon (n-Si) electrodes on a silicon-on-insulator (SOI) substrate. Our device design is based on passive matrix sensor array architecture consisting of individual graphene and silicon electrodes aligned perpendicular to each other. I-V measurements conducted at room temperature to reveal the electronic characteristics of graphene and Si junction in the device structure. The spectral responsivity, respond speed and the optical crosstalk of each G/Si pixels in the array have been determined by wavelength resolved and time dependent photocurrent spectroscopy measurements. Micro-Raman mapping measurements were conducted to examine the surface coverage of graphene electrode on each pixel. The results of Micro-Raman mapping measurements were correlated with the corresponding photocurrent data acquired under light illumination. We believe that this work constitutes a significant potential in integrating variety of 2D materials and SOI technology into next generation image sensing and multiple pixel light detection applications. © The Author(s) 2025.Article Citation - WoS: 1Citation - Scopus: 1Effect of Soil Water Content Changes on the Behavior of Buildings Equipped With Single and Double Tuned Mass Dampers Subjected To Earthquakes(Springer Science and Business Media Deutschland GmbH, 2025) Roozbahan, M.; Turan, G.Tuned mass dampers (TMDs) are one of the structural control systems that have been frequently used in the last century. A TMD is designed according to the properties of the main system. In building applications, the substructure’s soil affects the response of buildings, especially in soft-type soils. Therefore, the soil properties should be included in the analysis and design of tuned mass dampers. However, the soil properties are not always identical and vary due to different factor changes such as soil water content changes. Unlike previous research, which typically assumes constant soil properties, this study incorporates the impact of soil water content changes, a key factor that can significantly alter soil behavior. This study aims to evaluate the effectiveness of optimized single and double tuned mass dampers (DTMDs) in response reduction of buildings considering the changes in the water content of soil. In this study, a metaheuristic-based optimization method is programmed to optimize TMDs and DTMDs for low-, mid-, and high-rise buildings considering soil-structure interaction (SSI). The efficiency of the optimized tuned mass dampers on the response reduction of buildings due to changes in soil water content is evaluated. According to the investigated results of 14 near-field earthquake simulations, it is concluded that the efficiency of the TMDs is significantly affected by changes in soil water content. Moreover, according to the result, the DTMD efficiency is slightly better than the TMD-controlled structure. © Springer Nature Switzerland AG 2025.Article Effect of Degassing on Scaling in Hypersaline System: Tuzla Geothermal Field, Turkey(Springer Science and Business Media Deutschland GmbH, 2025) Tonkul, S.; André, L.; Baba, A.; Demir, M.M.; Regenspurg, S.; Kieling, K.A serious issue with geothermal power plants is the loss of production and decline in power plant efficiency. Scaling, also known as mineral precipitation, is one of the frequently-observed issue that causes this loss and decreasing efficiency. It is heavily observed in the production wells when the geothermal fluid rises from the depths due to a change in the fluid’s physical and chemical properties. Scaling issue in geothermal power plants result in significant output losses and lower plant effectiveness. In rare instances, it might even result in the power plant being shut down. The chemistry of the geothermal fluid, non-condensable gases, pH, temperature and pressure changes in the process from production to reinjection, power plant type and design, and sometimes the materials used can also play an active role in the scaling that will occur in a geothermal system. ICP–MS was used to evaluate the chemical properties of the fluids. On the other hand, XRD, XRF and SEM were used to investigate the chemical and mineralogical compositions of the scale samples in analytical methods. For the numerical approach, PhreeqC and GWELL codes were used to follow the chemical reactivity of the geothermal fluid in Tuzla production well. The novelty of this study is to determine potential degassing point and to characterize the mineralogical assemblage formed in the well because of the fluid composition, temperature and pressure variations. During production, geothermal fluids degas in the wellbore. This causes a drastic modification of the chemistry of the Tuzla fluids. This is why it is focused the calculations on the nature of the minerals that are able to precipitate inside the well. According to simulation results, the degassing point is estimated to be about 105 m depth, consistent with the field observations. If a small quantity of precipitated minerals is predicted before the boiling point, degassing significantly changes the fluid chemistry, and the model predicts the deposition of calcite along with smaller elements including galena, barite, and quartz. The simulation results are consistent with the mineral composition of scaling collected in the well. © The Author(s) 2024.Article Citation - WoS: 1Citation - Scopus: 2Year-To Differentiation of Black Tea Through Spectroscopic and Chemometric Analysis(Springer Science and Business Media Deutschland GmbH, 2025) Yorulmaz, H.; Cavdaroglu, C.; Donmez, O.; Serpen, A.; Ozen, B.The compositions of food products such as tea can vary significantly from one harvest year to another, primarily due to factors such as shifting climatic conditions, and plant periodicity. These fluctuations in composition can significantly affect the overall product quality. Spectral methods combined with chemometric techniques can provide efficient tools to monitor and assess these variations. In this study, 205 black tea samples from two consecutive harvest years were analyzed using mid-infrared, UV–visible, and fluorescence spectroscopy. Mid-infrared spectra were collected for both infused and powdered samples, while only the infused samples were used for the other spectroscopic methods. The study used partial least-square discriminant (PLS-DA) and orthogonal partial least-square discriminant analyses (OPLS-DA) to differentiate samples by harvest year. These models, applied after various data transformations, achieved high correct classification rates. Mid-infrared spectroscopic data yielded rates of 93.33% and 90.33% for powdered and infused samples, respectively. Fluorescence and UV–visible spectra also showed excellent prediction accuracy, with success rates of 98.3% and 100%. The results indicate that these spectroscopic methods, combined with chemometric differentiation, are valuable tools for monitoring year-to-year changes in black tea. © The Author(s) 2024.Article Citation - WoS: 1Citation - Scopus: 1Enhancing the Sustainable Protein Extraction Process From Black Cumin Seed Cake Press for Eco-Friendly Protein Supplements(Springer Science and Business Media Deutschland GmbH, 2025) Ammas, B.; Uzuner, Sibel; Uzuner, S.Finding new protein sources is essential to meet the global population’s needs. Nigella sativa (black cumin) seeds and the residual cake left after oil cold pressing contain valuable nutritional compounds, including proteins, phenolics, essential amino acids, and various bioactive compounds. In the literature, the structural characteristics and functional properties of proteins from black cumin seeds have been extensively studied. However, there are limited reports on the use of emerging extraction technologies for extracting soluble proteins from black cumin seed cake press (BCSCP). Therefore, two distinct extraction techniques—microwave (MW) and ultrasonication (US)—were assessed for their effectiveness in extracting soluble proteins from BCSCP. The aim of this study was to investigate the effects of various operational conditions on protein extraction yield and functional properties of proteins extracted from BCSCP. The maximum protein yield (27.04%) was achieved using a 10% solid/liquid ratio (SLR) at 33 °C for a 30-min extraction time with the US extraction technique. After ultrafiltration, the protein yield increased to 33.83%, showcasing the predominance of sarcosine (17.18 g/100 g), glutamine (11.63 g/100 g), and proline (33.46 g/100 g) amino acids. The water-holding capacity (WHC), oil-holding capacity (OHC), foam capacity (FC), and foam stability (FS) of the BCSCP isolate were found to be 5.4 ± 0.3 g/g, 9.4 ± 0.0 g/g, 43.6 ± 6.4%, and 39.0 ± 4.7%, respectively. The study revealed that US is a suitable extraction process for obtaining soluble proteins from BCSCP with favorable functional properties. Further studies are needed to evaluate the bioavailability and health impacts of bioactive peptides in order to develop food applications. © The Author(s) 2024.Article Citation - WoS: 6Citation - Scopus: 7Engineering Free-Standing Electrospun Pllcl Fibers on Microfluidic Platform for Cell Alignment(Springer Science and Business Media Deutschland GmbH, 2024) Yildirim-Semerci,Ö.; Arslan-Yildiz,A.Here, a PLLCL-on-chip platform was developed by direct electrospinning of poly (L-lactide-co-ε-caprolactone) (PLLCL) on polymethyl methacrylate (PMMA) microfluidic chips. Designed microchip provides the electrospinning of free-standing aligned PLLCL fibers which eliminates limitations of conventional electrospinning. Besides, aligned fiber structure favors cell alignment through contactless manipulation. Average fiber diameter, and fiber alignment was evaluated by SEM analyses, then, leakage profile of microchip was investigated. 3D cell culture studies were conducted using HeLa and NIH-3T3 cells, and nearly 85% cell viability was observed in PLLCL-on-chip for 15 days, while cell viability of 2D control started to decrease after 7 days based on Live dead and Alamar Blue analyses. These findings emphasize biocompatibility of PLLCL-on-chip platform for 3D cell culture and its ability to mimic extracellular matrix (ECM). Immunostaining results prove that PLLCL-on-chip platform favors the secretion of ECM proteins compared to control groups, and cytoskeletons of cells were in aligned orientation in PLLCL-on-chip, while they were in random orientation in control groups. Overall, these results demonstrate that the developed platform is suitable for the formation of various 3D cell culture models and a potential candidate for cell alignment studies. © The Author(s) 2024.Article Citation - WoS: 1Citation - Scopus: 1Valorization of Black Carrot Pomace and Pea Powder for Co-Production of Polygalacturonase and Pectin Lyase(Springer Science and Business Media Deutschland GmbH, 2025) Esen, B.N.; Uzuner, S.; Sezgin, H.T.Pectic enzyme groups, particularly polygalacturonase and pectin lyase, are vital components of a high-value microbial enzyme category widely employed in applications within the fruit juice and wine industries. The exploration of alternative carbon and nitrogen sources remains crucial for enhancing enzyme production while reducing costs. This study evaluates the impact of carbon (black carrot pomace) and nitrogen (pea protein) loading on fermentable sugar content, protein content, and enzyme activities during both batch and fed-batch cultivation. Additionally, three distinct valorization techniques—thermal (steam), thermochemical (steam assisted with dilute acid), and microwave-assisted with dilute acid pretreatments—were assessed for their effectiveness in hydrolyzing black carrot pomace as a carbon source. The findings indicate that microwave-assisted dilute acid, coupled with enzymatic saccharification, resulted in the highest fermentable sugar production (0.493 g/g), achieving an 87.3% conversion yield. Pea protein demonstrated more favorable outcomes with the highest polygalacturonase activity (20.50 ± 0.52 U/L) and pectin lyase activity (46.44 ± 3.45 U/L) compared to whey protein and yeast extract used as nitrogen sources. Meanwhile, the highest polygalacturonase and pectin lyase activity, along with the highest total protein content (52.25 ± 0.06 mg/L), was recorded under the same culture conditions, reaching 164.34 ± 2.26 and 188.22 ± 1.72 U/L, respectively, after 72 h, representing approximately 1.18- and 1.34-fold increases from the batch system. Consequently, these results prove that fed-batch cultivation, utilizing black carrot pomace hydrolyzate as a feeding substrate and pea protein as a nitrogen source, significantly increases polygalacturonase and pectin lyase activity compared to batch cultivation. © The Author(s) 2024.Article Citation - Scopus: 1Model-Based Ideal Testing of Hardware Description Language (hdl) Programs(Springer Science and Business Media Deutschland GmbH, 2022) Kilincceker, O.; Turk, E.; Belli, F.; Challenger, M.An ideal test is supposed to show not only the presence of bugs but also their absence. Based on the Fundamental Test Theory of Goodenough and Gerhart (IEEE Trans Softw Eng SE-1(2):156–173, 1975), this paper proposes an approach to model-based ideal testing of hardware description language (HDL) programs based on their behavioral model. Test sequences are generated from both original (fault-free) and mutant (faulty) models in the sense of positive and negative testing, forming a holistic test view. These test sequences are then executed on original (fault-free) and mutant (faulty) HDL programs, in the sense of mutation testing. Using the techniques known from automata theory, test selection criteria are developed and formally show that they fulfill the major requirements of Fundamental Test Theory, that is, reliability and validity. The current paper comprises a preparation step (consisting of the sub-steps model construction, model mutation, model conversion, and test generation) and a composition step (consisting of the sub-steps pre-selection and construction of Ideal test suites). All the steps are supported by a toolchain that is already implemented and is available online. To critically validate the proposed approach, three case studies (a sequence detector, a traffic light controller, and a RISC-V processor) are used and the strengths and weaknesses of the approach are discussed. The proposed approach achieves the highest mutation score in positive and negative testing for all case studies in comparison with two existing methods (regular expression-based test generation and context-based random test generation), using four different techniques. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.