Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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  • Article
    AI-Supported Seismic Performance Evaluation of Structures: Challenges, Gaps, and Future Directions at Early Design Stages
    (Elsevier Sci Ltd, 2026) Ak, Fatma; Ekici, Berk; Demir, Ugur
    This study reviews 91 journal articles that intersect with earthquake-resistant building design and artificial intelligence (AI)- based modeling, utilizing machine learning, deep learning, and metaheuristic optimization algorithms. Previous reviews on AI applications have examined engineering problems without considering the impact of architectural design parameters and structural irregularities on seismic performance. This review discusses the role of AI in integrating architectural design variables and seismic performance objectives, highlighting challenges, gaps, and future directions in the early design phase. The reviewed articles demonstrate that AI is successful in addressing seismic performance objectives; however, a holistic framework for assessing architectural and structural variables has not been presented. The review highlights key findings, gaps, and future directions for those involved in earthquake-resistant building design utilizing AI.
  • Article
    Ormosil Hybrid Coatings as a Sustainable Antibiofouling Solution for Microalgae Cultivation in Tubular Photobioreactors
    (Elsevier Sci Ltd, 2026) Belen, Sema Nur; Ipsalali, Ozde; Gunes, Kaniye; Kucuker, Mehmet Ali; Cengiz, Ugur
    This study demonstrated the potential of citric acid-APTES (Ormosil) coatings as an effective antifouling strategy to reduce biofilm formation in tubular photobioreactors used for microalgae cultivation. Among the tested coatings, CApTES2.7 exhibited superhydrophilic behavior in air and superoleophobic behavior underwater, significantly reducing the adhesion of Chlorella vulgaris compared to uncoated glass surfaces. Light transmission experiments and microscopic analyses showed that biofilm accumulation on coated surfaces decreased by more than 50 %, maintaining optical clarity within the reactor. Thermodynamic, DLVO, and XDLVO modeling supported these findings, indicating lower adhesion energies for algal cells on Ormosil-coated surfaces, consistent with their experimental antifouling performance. The application of CApTES2.7 coating in tubular PBR systems resulted in a 54.5 % increase in light transmittance compared to uncoated systems, thereby improving the photonic environment available for microalgal growth. Additionally, no chemical cleaning was required between cultivation cycles in coated reactors, demonstrating potential for reducing operational costs and water consumption in large-scale systems. In conclusion, this study presents an environmentally friendly and sustainable approach to overcoming biofilm-induced light attenuation-one of the main bottlenecks in industrial photobioreactors. Ormosil-based coatings not only extend the service life of PBRs but also enhance the economic feasibility of microalgae-based bioprocesses for biofuel, bioplastics, and high-value biomolecule production.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 2
    Design and Evaluation of Novel Poly (Vinyl Alcohol)-Based Electrospun Nanofibers Bearing Quaternized Zinc Phthalocyanine with Improved Antibacterial Efficiency
    (Elsevier Sci Ltd, 2025) Yavuz, Ozgur; Cakir, Neslihan Turhan; Alcay, Yusuf; Kadi, Ilayda Hizir; Kahveci, Muhammet U.; Yilmaz, Ismail; Altinkok, Cagatay
    Electrospinning of macrocyclic compounds offers a versatile route to functional nanofibers for biomedical applications. However, the small molecular size and tendency to aggregate of such compounds often preclude their direct processing. Herein, we report the fabrication of poly(vinyl alcohol) (PVA) nanofibers uniformly embedded with a dimethylaminophenyl-functionalized, quaternized zinc phthalocyanine derivative (Q-DMAPZnPc) via a straightforward aqueous electrospinning process. Successful incorporation of Q-DMAPZnPc into the PVA matrix was confirmed by FT-IR and 1H NMR spectroscopies. SEM revealed bead-free fibers with average diameters decreasing from 152 +/- 20 nm to 110 +/- 23 nm as the Q-DMAPZnPc loading increased. Water contact angle, thermogravimetric, and differential scanning calorimetry analyses demonstrated that both hydrophilicity and thermal stability of the fibers improved with higher Q-DMAPZnPc content. The singlet oxygen quantum yield (Phi Delta) of the PVA-Q-DMAPZnPc (5 wt %) was measured as 0.35. Importantly, quaternization endowed the fibers with potent antibacterial activity: under visible-light irradiation, PVA-Q-DMAPZnPc mats achieved significant log-reduction against both Gram-negative (Escherichia coli, Salmonella typhimurium) and Gram-positive (Staphylococcus aureus, Bacillus cereus) pathogens, markedly outperforming neat PVA controls. These findings highlight the promise of Q-DMAPZnPc-loaded PVA nanofibers as light-activated antimicrobial platforms for next-generation therapeutic and protective materials.
  • Article
    MIP-on-the-flow: Molecularly Imprinted Polymers in Microfluidic Sensing Systems
    (Elsevier Sci Ltd, 2026) Okan, Meltem; Sanko, Vildan; Yildirim, Ender; Tekin, H. Cumhur; Kulah, Haluk
    The integration of molecularly imprinted polymers (MIPs) with microfluidic systems has emerged as a powerful strategy for developing selective and sensitive analytical platforms. As "artificial receptors," MIPs offer robustness, reusability, and cost-effectiveness, while microfluidics enable precise fluid handling and miniaturized analysis. Together, they yield hybrid sensors capable of real-time detection. Recent advances in polymerization, nanoimprinting, and surface functionalization have tailored MIPs for seamless microfluidic integration. In parallel, innovations in soft lithography and 3D printing have expanded design possibilities for lab-on-chip architectures. Cutting-edge detection modalities, including electrochemical, optical, and mass-based transduction, have unlocked applications in biomedical diagnostics, environmental monitoring, and food safety. Examples include continuous biomarker monitoring, trace pollutant detection, and rapid food contaminant identification. Despite progress, challenges in reproducibility, large-scale fabrication, and commercialization remain. Addressing these through material innovations and scalable engineering will accelerate translation into point-ofcare testing, environmental protection, and global food security.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 1
    Enhancing Biomass Pyrolysis via Microwave Heating: A CFD-DEM Study on Intensification in Fluidized Beds
    (Elsevier Sci Ltd, 2026) Hamidani, Golnaz; Kazemi, Saman; Eslami, Ali; Zarghami, Reza; Sotudeh-Gharebagh, Rahmat; Mostoufi, Navid
    Biomass conversion into high-value products in fluidized beds can be significantly improved by utilizing microwave irradiation as the heating source. The present work studied microwave-assisted biomass pyrolysis using a coupled CFD-DEM model in a fluidized bed. The effect of key operating parameters, including inlet gas velocity (1.5, 2, and 2.5 times the minimum fluidization velocity), mean particle diameter (1.2, 1.3, and 1.5 mm), and microwave power input (200, 400, and 600 W), was evaluated on the performance of the reactor. The results revealed that higher microwave power increased the mean particle temperature and chemical conversion rate due to greater internal energy generation within the biomass particles. Increasing the gas velocity led to lower particle temperature because of enhanced convective heat transfer to the gas phase, and improved the uniformity of temperature and conversion distributions. Furthermore, decreasing the mean particle diameter from 1.5 to 1.2 mm increased the average temperature, from 890 to 987 K, and raised biomass conversion from 14.8 to 18.1 %, mainly by reducing convective heat losses. The validated model developed in this study enables accurate predictions of process behavior and provides valuable insights for optimizing microwave-assisted biomass pyrolysis in fluidized beds. These findings highlight the potential of microwave-assisted fluidized bed pyrolysis as an efficient technique for process intensification in producing valuable bio-based products.
  • Article
    Machine Learning Integrated Solvothermal Liquefaction of Lignocellulosic Biomass to Maximize Bio-Oil Yield
    (Elsevier Sci Ltd, 2025) Ocal, Bulutcem; Sildir, Hasan; Yuksel, Asli
    Accelerating consumption of limited fossil-based for economic growth and simultaneously mitigating greenhouse gas emissions create a dilemma that is waiting to be solved by researchers. In this context, solvothermal liquefaction of lignocellulosic biomass to produce bio-oil is a promising way to obtain green energy. However, maximizing bio-oil is challenging to optimize the operating parameters employing conventional techniques due to the complexity and non-linearity of the process. Lately, machine learning approaches have become powerful tools for addressing complex nonlinear problems by predicting process behavior and regulating operating parameters for optimization by learning from datasets. The current research demonstrates integrating experimental and a developed artificial neural network model to optimize solvothermal liquefaction of pinus brutia, based on temperature, water fraction, and biomass amount in maximizing bio-oil generation for the first time. The highest bio-oil yields were obtained at 31.40 %, 18.68 %, and 39.69 %, respectively, with 4 and 8 g biomass in the presence of water, ethanol, and water/ethanol mixture at 240 degrees C. Under the model conditions, the maximum biooil yield was experimentally verified at 46.20%, which was predicted at 48.8 %. Beyond providing accurate yield predictions, the approach highlights the potential of date-driven modeling to reduce experimental workload and cost while aiding parameter selection to improve efficiency. These outcomes emphasize the importance of machine learning integration into liquefaction process, providing remarkable results for future process design, optimization, and scalability. On the other hand, the study also includes characterization results (ultimate, proximate, FTIR, and GC-MS) of selected products and pinus brutia.
  • Article
    Comprehensive 4E Analysis, Multi-Objective Optimization, and Feasibility Study of Five Natural Gas Liquefaction Processes With a Case Study for Iran
    (Elsevier Sci Ltd, 2026) Basmenj, Farhad Rahmdel; Tabriz, Zahra Hajimohammadi; Aghdasinia, Hassan; Mohammadpourfard, Mousa
    Natural gas (NG) is increasingly vital as a cleaner energy source due to its lower carbon emissions compared to other fossil fuels. Liquefaction facilitates efficient long-distance transportation. While numerous studies address NG liquefaction's technical aspects, holistic research remains limited. This study presents a comprehensive evaluation of five conventional natural gas (NG) liquefaction processes (including SMR-Linde, SMR-APCI, C3MRLinde, DMR-APCI, and MFC-Linde) through a 4E framework: energy, exergy, exergoeconomic, and exergoenvironmental analyses. Addressing limitations in prior research, it incorporates environmental considerations and introduces production volume-independent metrics to ensure equitable comparisons. Multi-objective optimization, based on exergoeconomic and exergoenvironmental criteria, is employed to identify Pareto-optimal operating conditions. To accelerate this complex process, neural networks are utilized. The study concludes with a feasibility assessment of large-scale LNG production in Iran, offering practical insights for optimizing process selection and enhancing the economic and environmental viability of LNG technologies. Simulations show that the MFC-Linde cycle as the most efficient regarding specific energy consumption (0.2563 kWh/kgLNG), coefficient of performance (3.184), and exergy efficiency (52.32 %). It also demonstrates the lowest unit exergy cost (3.67$/GJ) and exergy unit environmental impact (5271.86mPts/GJ). Multi-objective optimization, considering both exergetic-economic and exergetic-environmental criteria, using neural networks and genetic algorithms in MATLAB identifies Pareto-optimal conditions for all processes. For the MFCLinde, as the most efficient process, optimal operating conditions in the exergetic-economic trade off scenario are: Exergy efficiency of process = 51.45% and Exergy cost rate of LNG = 82, 162.15$/h; at Pressure of NG feed = 5, 925.32kPa, Pressure drop in valve = 5, 831.99kPa, and NG side temperature in heat exchanger = -168.34 degrees C. Finally, a feasibility study for large-scale LNG (Liquefied Natural Gas) production in Iran shows promising results, with a return on investment of 32.24 %/year and a payback period of 2.34 years, indicating the project's potential success in regions with abundant NG reserves.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Dealing With Divergent Feedback Trajectories in Video-Mediated, Transnational, and Collaborative Task Design Meetings
    (Elsevier Sci Ltd, 2025) Colak, Fulya; Balaman, Ufuk
    This study investigates mutual pedagogical decision making among transnational groups of preservice teachers (from Austria and T & uuml;rkiye) involved in finalizing the design of telecollaborative tasks after receiving multimodal feedback from different teacher educators. Within the scope of a Virtual Exchange project, while the teacher educator from the Turkish university conducted a large-group, whole-class, video-mediated meeting offering feedback, the teacher educator from the Austrian university preferred delivering written feedback. Examining the screen-recordings of pre-service teachers' video-mediated meetings and the diverse feedback sources, we found that the divergent feedback trajectories provide opportunities for pedagogical design-related decision making and meaning negotiation for pre-service teachers. The findings also show the synergies between the multilayered frameworks of participation and engagement in situ and bring new insights into the interactional management of video-mediated learning environments.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Airborne and Dust-Bound PBDEs Indoors and Outdoors in Izmir, Türkiye: A Multi-Route Exposure - Risk Assessment
    (Elsevier Sci Ltd, 2025) Genisoglu, Mesut; Edebali, Ozge; Sofuoglu, Aysun; Turgut, Cafer; Sofuoglu, Sait C.
    Phased-out flame retardants, e.g., polybrominated diphenyl ethers (PBDEs), persist in environmental media due to their resistance to degradation and ongoing emissions from PBDE containing materials and industrial activities. This study addresses a notable data gap in a unique setting, i.e., & Idot;zmir, T & uuml;rkiye, by investigating PBDE levels at homes, schools, and caf & eacute;/bar/restaurants, and assessing exposure and associated health risks. Indoor and outdoor air and dust samples were collected from rural, suburban, and urban areas. Exposure through ingestion, dermal absorption, and inhalation routes, and associated chronic-toxic and carcinogenic risks were estimated with Monte Carlo Simulation. Despite having been phase-out, house-dust Sigma BDE concentrations remained prevalent with average levels of >2000 ng/g in schools and homes, while outdoors they were <500 ng/g. BDE-209 was the predominant congener with an indoor air concentration of 486 pg/m(3) in schools and 56.7 pg/m(3) in homes. BDE-209 contributed 83.5-90.4 % of the indoor air Sigma BDE concentration in schools, while in homes this contribution ranged from 70.8 to 75.8 %. Aggregate exposure estimates show the predominant PBDE congener, BDE-209, was primarily exposed by accidental ingestion (58.6 %) followed by dermal absorption (21.9 %) and inhalation (19.5 %). Chronic-toxic risk (CTR, for BDE-47, BDE-99, BDE-153, and BDE-209) and carcinogenic risk (CR, for BDE-209) for the ingestion and dermal absorption routes indicated that house-dust and indoor-air PBDE exposures are not found to be considerable for human health. However, the contribution of inhalation route to the aggregate exposure of BDE-28, BDE-47, BDE-100, BDE-99 (87.0 %, 60.5 %, 54.3 %, and 57.3 %, respectively) may indicate the evermore PBDE exposure by inhalation for lower brominated congeners as they become more significant through environmental debromination of the predominant BDE-209.
  • Article
    Investigations on the Effect of Secondary Treatments on Ti48Al2Cr2Nb Alloy Manufactured by Electron Beam Powder Bed Fusion Method
    (Elsevier Sci Ltd, 2025) Bilgin, Guney Mert; Ozer, Seren; Davut, Kemal; Esen, Ziya; Dericioglu, Arcan F.
    As-built Ti48Al2Cr2Nb alloy samples produced by electron beam powder bed fusion (PBF-EB) exhibited notable brittleness. The low ductility was attributed to coarse gamma bands aligned perpendicular to the building and tensile direction. Additionally, variations in aluminum content and hardness between the coarse colonies and fine gamma/alpha(2) lamellae contribute to this phenomenon. Electron backscattered diffraction (EBSD) studies revealed a higher amount of dislocation density and inherent strain after PBF-EB manufacturing. Hence, usage of Ti48Al2Cr2Nb alloy in the as-built condition in aviation applications with high loads and demanding environments is not found to be viable. To eliminate these negative aspects and make PBF-EB produced Ti48Al2Cr2Nb alloy available for demanding applications, two distinct post-processing heat treatments; namely, hot isostatic pressing (HIP) and annealing heat treatment (HT) were employed at 1200 degrees C. A comprehensive characterization covering microstructure analysis, EBSD, fracture surface examination, as well as room and high-temperature tensile tests allowed determination of the effect of post-processes. HIPing altered the banded structure observed in the as-built samples by increasing the amount of alpha(2) phase and grain size. On the other hand, HT made the banded structure more pronounced without significantly increasing the amount of alpha(2) phase. HT also strengthened the <001> texture, while HIPing introduced randomization of grains. On the other hand, complete recrystallization is achieved as a result of HT at 1200 degrees C for 2 h, whereas HIPing at the same temperature for 2 h induced only 80.5 % recrystallization. In both post-processes, dislocation density and inherent strain were reduced. Room temperature and high-temperature tensile tests demonstrated that both HIPing and HT eliminated the extreme brittleness of the as-built samples.