Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Effect of Marination on the Formation of Polycyclic Aromatic Hydrocarbons in Grilled Vegetables(Wiley, 2025) Kacmaz Ozcetin, Sibel; Artok, LeventThe effect of marination on the formation of polycyclic aromatic hydrocarbons (PAH) in charcoal-grilled vegetables was studied. Various marinade ingredients, including apple cider vinegar, red grape vinegar, lemon juice, garlic powder, black pepper, and the food additive tert-butylhydroquinone (TBHQ) were applied to vegetable samples before charcoal grilling. The total phenolic content (TPC) and total antioxidant capacity (TAC) of each marinade ingredient were assessed for their contribution to PAH inhibition. A substantial decrease in PAH4 formation was observed in marinated vegetables. Red grape vinegar exhibited the strongest average inhibitory effect on total PAH4 formation (75%), followed by apple vinegar (68%), lemon juice (52%), garlic powder (34%), and black pepper (30%). Additionally, the TBHQ (67%) demonstrated a strong inhibitory effect, reducing total PAH4 formation by 67%. These findings offer valuable insights for reducing PAH levels in grilled vegetables and preventing their formation.Article Citation - WoS: 15Search for Supersymmetry in pp Collisions at √s=7 TeV in Events With a Single Lepton, Jets, and Missing Transverse Momentum(Springer, 2013) Chatrchyan, S.; Khachatryan, V.; Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Aguilo, E.; Swanson, J.Results are reported from a search for new physics processes in events containing a single isolated high-transverse-momentum lepton (electron or muon), energetic jets, and large missing transverse momentum. The analysis is based on a 4.98 fb(-1) sample of proton-proton collisions at a center-of-mass energy of 7 TeV, obtained with the CMS detector at the LHC. Three separate background estimation methods, each relying primarily on control samples in the data, are applied to a range of signal regions, providing complementary approaches for estimating the background yields. The observed yields are consistent with the predicted standard model backgrounds. The results are interpreted in terms of limits on the parameter space for the constrained minimal supersymmetric extension of the standard model, as well as on cross sections for simplified models, which provide a generic description of the production and decay of new particles in specific, topology based final states.Article Role of Long Non-Coding RNA X-Inactive Transcript (XIST) in Neuroinflammation and Myelination: Insights From Cerebral Organoids and Implications for Multiple Sclerosis(MDPI, 2025) Pepe, Nihan Aktas; Acar, Busra; Zararsiz, Gozde Erturk; Guner, Serife Ayaz; Sen, AlaattinBackground/Objectives: X-inactive-specific transcript (XIST) is a factor that plays a role in neuroinflammation. This study investigated the role of XIST in neuronal development, neuroinflammation, myelination, and therapeutic responses within cerebral organoids in the context of Multiple Sclerosis (MS) pathogenesis. Methods: Human cerebral organoids with oligodendrocytes were produced from XIST-silenced H9 cells, and the mature organoids were subsequently treated with either FTY720 or DMF. Gene expression related to inflammation and myelination was subsequently analyzed via qRT-PCR. Immunofluorescence staining was used to assess the expression of proteins related to inflammation, myelination, and neuronal differentiation. Alpha-synuclein protein levels were also checked via ELISA. Finally, transcriptome analysis was conducted on the organoid samples. Results: XIST-silenced organoids presented a 2-fold increase in the expression of neuronal stem cells, excitatory neurons, microglia, and mature oligodendrocyte markers. In addition, XIST silencing increased IL-10 mRNA expression by 2-fold and MBP and PLP1 expression by 2.3- and 0.6-fold, respectively. Although XIST silencing tripled IBA1 protein expression, it did not affect organoid MBP expression. FTY720, but not DMF, distinguished MBP and IBA1 expression in XIST-silenced organoids. Furthermore, XIST silencing reduced the concentration of alpha-synuclein from 300 to 100 pg/mL, confirming its anti-inflammatory role. Transcriptomic and gene enrichment analyses revealed that the differentially expressed genes are involved in neural development and immune processes, suggesting the role of XIST in neuroinflammation. The silencing of XIST modified the expression of genes associated with inflammation, myelination, and neuronal growth in cerebral organoids, indicating a potential involvement in the pathogenesis of MS. Conclusions: XIST may contribute to the MS pathogenesis as well as neuroinflammatory diseases such as and Alzheimer's and Parkinson's diseases and may be a promising therapeutic target.Article Citation - WoS: 3Citation - Scopus: 3Numerical Assessment of Vertical Axis Hydrokinetic Turbine Efficiencies With Different Grate Protections(Inst Engineering Technology-IET, 2025) Karakaya, Derya; Elci, SebnemHydrokinetic turbines are crucial for sustainable power generation, but their performance is often impacted by floating debris and sediment transport, which can damage turbine blades. Sediment retention enhances the turbine's lifespan and reduces maintenance by preventing blade erosion, cavitation and clogging. Protective grates reduce abrasive particle entry, minimising blade wear. They also avoid buildup of sediment, lowering the risk of blockages and cavitation, which harm efficiency and accelerate degradation. This study presents the numerical performance of Darrieus-type vertical axis hydrokinetic turbines under the impact of straight and Coanda type grate protection structures. The effects of these two types of grate structures with different design angles on turbine power coefficient (CP) and torque coefficient (CT) were investigated using the ANSYS Fluent program. The dynamic mesh technique simulated the turbine rotation and the semi-implicit method for pressure-linked equations (SIMPLE) was applied with a shear stress transport (SST) k-omega turbulence model. The turbine's efficiency was compared and the results were evaluated for steady and unsteady flow conditions. The highest power coefficients were obtained as 0.230 and 0.264 for steady and unsteady flow, respectively, in the Coanda grate with a 30 degrees central angle. The highest power coefficients were obtained as 0.215 and 0.247 for steady and unsteady flow, respectively, in the straight grate design with a 60 degrees inclination angle. The sediment retention capacities of Coanda grates (30 degrees central angle) and straight grates (60 degrees inclination angle) with varying particle size distributions were further investigated using the discrete phase model (DPM) under steady flow conditions.Article Citation - WoS: 6Citation - Scopus: 7Physics-Based Machine Learning for Modeling of Laminated Composite Plates Based on Refined Zigzag Theory(Springer, 2025) Ermis, Merve; Dorduncu, Mehmet; Aydogan, GokayPhysics-based machine learning techniques have recently gained prominence for their ability to model complex material and structural behavior, particularly in laminated composite structures. This study introduces an innovative approach, being the first to employ physics-informed neural networks (PINNs) in conjunction with refined zigzag theory (RZT) for the stress analysis of laminated composite plates. A multi-objective loss function integrates governing partial differential equations (PDEs) and boundary conditions, embedding physical principles into the analysis. Using multiple fully connected artificial neural networks, called feedforward deep neural networks, tailored to handle PDEs, PINNs are trained using automatic differentiation. This training process minimizes a loss function that incorporates the PDEs governing the underlying physical laws. RZT, particularly suitable for the stress analysis of thick and moderately thick plates, simplifies the formulation by using only seven kinematic variables, eliminating the need for shear correction factors. The capability of the proposed method is validated through several benchmark cases in stress analysis, including 3D elasticity solutions, analytical solutions, and experimental results from a three-point bending test based on displacement measurements reported in the literature. These results show consistent agreement with the referenced solutions, confirming the accuracy and reliability of the proposed method. Comprehensive evaluations are conducted to examine the effects of softcore presence, elastic foundation, various lamination schemes, and differing loading and boundary conditions on the stress distribution in laminated plates.Article Digital Transformation in Leather Color Fastness Evaluation: Computer-Assisted Grey Scale Analysis(Korean Fiber Soc, 2025) Efendioglu, Nilay Ork; Mutlu, Mehmet Mete; Inan, Emrah; Ozgunay, HasanLeather is a critical material in the fashion industry, where it is required to meet specific customer demands for color, specifications, and performance, especially regarding color fastness. Traditional methods for assessing color fastness rely on subjective evaluations conducted by professional experts using grey scale standards. However, human evaluation can be inconsistent due to various factors, such as lighting conditions and individual perception. In this study, leather samples were first subjected to expert evaluations and scored using the grey scale system. These evaluations were then compared with color measurement data obtained through a spectrophotometer, which was processed using custom-designed software (written in the Python programming language). This software provided precise grey scale values based on the color measurements, enabling accurate digital assessments. The results of the comparative analysis showed that the computer-assisted grey scale assessment could be completed in a significantly shorter time frame with a minimal margin of error, offering a more reliable and efficient alternative to traditional evaluation methods. This approach not only enhances the accuracy of color assessments but also streamlines the evaluation process in the leather industry.Article Citation - WoS: 1Citation - Scopus: 1Electrochemical Evaluation of Strontium-Doped Micro-Arc Oxidation Surfaces on Titanium(Mdpi, 2025) Alves, Alexandra C.; Duraes, Carolina; Toptan, FatihTitanium (Ti) alloys are widely used in biomedical applications but face challenges like poor biological activity and corrosion at modular interfaces. Strontium (Sr)-doped micro-arc oxidation (MAO) surfaces are proposed to improve biocompatibility and tribocorrosion resistance. This study examines the electrochemical behaviour of Ti surfaces treated with 0.0013 M and 0.13 M Sr-doped MAO via open circuit potential, potentiodynamic polarisation, and electrochemical impedance spectroscopy in a basic physiological solution at 37 degrees C. The results indicate that higher Sr concentrations led to lower passivation current densities (more than two times lower than at the lowest Sr concentration) and reduced barrier layer capacitance (more than one and a half times lower than at the lowest Sr concentration), suggesting improved corrosion resistance for Sr-enriched MAO treatments on Ti implants.Article Citation - WoS: 1Citation - Scopus: 1Effect of Drying Method on Selected Physical and Functional Properties of Powdered Black Soldier Fly Larvae(Mdpi, 2025) Bogusz, Radoslaw; Nowacka, Malgorzata; Gondek, Ewa; Delman, Murat; Szulc, KarolinaThis research aimed to assay the impact of convective drying (CD) or infrared-convective (IR-CD) drying methods on the physical and techno-functional properties, FTIR spectra, and mathematical modeling of adsorption kinetics of black soldier fly larvae powders. By using convective drying, insect powder exhibited higher water content and water activity but lower hygroscopicity than powder dried with the infrared-convective method. After drying with the convective method, the powder exhibited a significantly lower loose and tapped bulk density and oil holding capacity (OHC). Furthermore, this powder was lighter and more yellow. The FTIR spectrum of the CD-dried powder showed lower absorption at key wavenumbers for the protein (1625 and 1350-1200 cm-1), indicating lower denaturation and less ability to bind water and water vapor. The mathematical modeling of the water vapor adsorption kinetics of insect powders via the second Fick's law for transient diffusion showed that this equation is suitable for adjusting the experimental data based on the high coefficient of determination (0.997-0.999) and the low root mean square (2.50-3.34%). This study revealed that the drying method influences insect powder properties, and the IR-CD method seems better in terms of obtaining better techno-functional properties.Article Observable-Enriched Entanglement(Amer Physical Soc, 2025) Winter, Joe H.; Ay, Reyhan; Braunecker, Bernd; Cook, A. M.We introduce methods of characterizing entanglement on the example of the quantum skyrmion Hall effect, in which entanglement measures are enriched by the matrix representations of operators for observables. These observable operator matrix representations can enrich the partial trace over subsets of a system's degrees of freedom, yielding reduced density matrices useful in computing various measures of entanglement, which also preserve the observable expectation value. We focus here on applying these methods to compute observableenriched entanglement spectra, unveiling bulk-boundary correspondences of canonical four-band models for topological skyrmion phases and their connection to simpler forms of bulk-boundary correspondence. Given the fundamental roles entanglement signatures and observables play in the study of quantum systems and the fundamental generalization of the interpretation and treatment of spin within the framework of the quantum skyrmion Hall effect, concepts of observable-enriched entanglement introduced here are broadly applicable to myriad problems of quantum systems.Article Citation - WoS: 2Citation - Scopus: 1The Future of European Regional Inequalities: Box-Cox Transformed Arma Process Trend Smoothing (Bats) Forecasting(Wiley, 2025) Duran, Hasan Engin; Elburz, Zeynep; Cifci, Burcu DegerliThe vast majority of the empirical studies on regional economic inequalities has analyzed the past evolutions, while the future trajectories are often ignored. Despite, no methods exist to predict the future precisely, it is worthwhile to shed light on the prospective tendencies in order to plan and formulate the policies at the present time. The current study addresses the following questions; Will regional convergence continue in Europe? Which regions will become more prosperous? What are the future determinants of regional growth? Our dataset covers 236 NUTS-2 regions belonging to the 28 European Countries for the period 2000-2022. In terms of methodology, we use a nonlinear forecasting technique BATS ("Box-Cox Transformation, ARMA errors, Trend and Seasonal Components") model and Spatial Durbin Regressions along with explorative maps and descriptive statistics. As an outcome of the analyses, we obtained several remarkable results. First, regional inequalities are expected to widen by 2050 indicating the evidence of regional divergence. Second, spatial poles of prosperity are likely to change substantially. Most of the regions belonging to the countries in the "Mediterranean Basin" are predicted to remain relatively backward while many Eastern European regions are expected to rise in prosperity. Northern and Central European regions are likely to keep their prosperous position. Third, several crucial determinants of future growth patterns are detected. It appeared that younger demographic profile, industrialization and cohesion policies (particularly for CEE regions) have become key factors of future growth performance.