Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(20)
- Celik, Erkan(12)
- Mete, Suleyman(11)
- Serin, Faruk(10)
- ALMisned, Ghada(9)
- Güler, Ömer(8)
- Yucesan, Melih(8)
- Tekin, H.O.(7)
- Artuğer, Fırat(6)
- Utku, Anıl(6)
- Guler, Omer(5)
- Özkul, İskender(5)
- Şimşek, Telem(5)
- Acar, Ramazan(4)
- Basgoz, Oykum(4)
- Guler, Seval Hale(4)
- Şimşek, Tuncay(4)
- Bahceci, Ersin(3)
- Baykal, Duygu Sen(3)
- Başhan, Veysi(3)
- Canbay, Canan Aksu(3)
- Demirel, Hakan(3)
- Doğan, Gürkan(3)
- Ergen, Burhan(3)
- Gul, Ali Oktay(3)
- Güler, Seval Hale(3)
- Gülmez, Nihan(3)
- Karaduman, Oktay(3)
- Kavaz, Esra(3)
- Kaya, Sema Kayapinar(3)
- Onder Erguven, Gokhan(3)
- Yayla, Nihal(3)
- Yildirim, Nuran Cikcikoglu(3)
- Özkaynak, Fatih(3)
- Ak, M. Fatih(2)
- Albayrak, M. Gökhan(2)
- Aslan, Serpil(2)
- Aycin, Ejder(2)
- Can, Umit(2)
- Cemalgil, Selim(2)
Yayınlar
- MakaleYalnız künye2026Scopus SJRQ1Innovative solutions for aquaculture: detecting fish diseases with hybrid deep learning model and explainable artificial intelligence
Utku, Anıl; Barut, Abdulkadir; Alofaysan, Hind
Early identification of fish diseases is critical to maintain aquaculture and minimize its financial burden. In the diagnosis of diseases, time is critical and scientists’ experience is imperative, which makes the artificial intelligence-based models necessary. It is intended by this study to integrate deep learning with explainable artificial intelligence methods to establish an artificial intelligence-powered framework for early detection of disease in fish. In this study, we developed a hybrid artificial intelligence system designed to detect diseases in freshwater fish by analyzing skin images. The primary objectives of the system are to minimize economic losses, prevent further disease spread, and ultimately increase aquaculture productivity. For this purpose, we used a dataset consisting of images from seven different disease categories, with 250 images in each class. A new hybrid model, Residual Network-50–Vision Transformer, was developed by integrating the strengths of Residual Network-50 and Vision Transformer architectures to improve classification accuracy. The proposed model was subjected to rigorous comparison with established architectures, including Visual Geometry Group 16, Mobile Convolutional Neural Network Version 2, Efficient Neural Network–Baseline Model B0, standalone Vision Transformer, and the original Residual Network-50. The results demonstrated that Residual Network-50–Vision Transformer outperformed the model, achieving an impressive 99.14% accuracy rate. Furthermore, the study employed local interpretable model-independent explanations to explain which image features most significantly influence the model’s classification decisions, thereby enhancing the interpretability and confidence in the model’s output. The application of such advanced image processing models in combination with explainable AI techniques demonstrates significant potential to support sustainable aquaculture by reducing disease outbreaks and associated financial losses.
AtıfScopus3OpenAlex2
İncele - BildiriYalnız künye2026Scopus SJRQ4Residual-Based Evaluation of Basin and Basin Edge Effects in Türkiye: Implications for Regional Site Amplification Modeling
İçen, Abdullah; Ilki, A.; Goksu, C.; Cinar, T.; Erdik, M.
This study investigates basin, basin edge and complex topography effects in ground motion records using residuals from empirical ground motion models, to better understand regional site amplification patterns in Türkiye. Using data from the updated Strong Motion Database of Türkiye (SMD-TR) strong-motion database, we compute residuals using site amplification function and analyze their spatial distribution across regions. The clustering technique, Gaussian Mixture Models (GMM), is employed to identify regions with coherent residual patterns, primarily to capture regional site effects. After regionalization, peak amplifications within the VS30 range of 400–550 m/s are examined for potential associations with sedimentary basins or basin edge effects. The results reveal systematic amplification anomalies within the VS30 range of 400–550 m/s that are not fully captured by conventional site proxies such as VS30. Notably, residuals consistently cluster along basin edges and within deep valley regions, indicating the influence of complex three-dimensional and topographic amplification mechanisms. These observations underscore the limitations of current site characterization approaches and motivate further refinement of site response models, particularly for partially non-ergodic applications in seismic hazard analysis. This study focuses on residual-based evaluations to identify potential basin, basin-edge, and topographic effects that warrant more detailed investigation.
- MakaleYalnız künye2026Scopus SJRQ2Synthesis, structural characterization, and radiation interaction behaviour of (ErSmGdYPr)2Hf2O7 high-entropy oxide powder: A preliminary investigation for potential applications in nuclear environments
Güler, Ömer; Güler, Seval Hale; Özkul, İskender; ALMisned, Ghada; Baykal, Duygu Sen; Tekin, Huseyin Ozan
This study represents an initial investigation toward exploring the multifunctional potential of the (ErSmGdYPr)2Hf2O7 high-entropy oxide as a thermal barrier coating (TBC) material in radiation environments. Therefore, the evaluated parameters should be considered as a preliminary step rather than a complete representation of the material’s overall performance in such complex applications. In this context, (ErSmGdYPr)₂Hf2O7 powders were synthesized through high-energy ball milling of commercial rare-earth oxide precursors followed by calcination at different temperatures. Structural evolution during synthesis was investigated using X-ray diffraction, scanning electron microscopy with energy-dispersive spectroscopy, and thermal analysis techniques. The results confirmed the formation of a defective fluorite-type high-entropy oxide structure after calcination at elevated temperatures, accompanied by homogeneous elemental distribution and stable ceramic microstructures. In addition to structural characterization, the radiation interaction behaviour of the synthesized material was evaluated through gamma-ray attenuation parameters and fast neutron removal cross-section analysis. The obtained results indicate that the presence of multiple rare-earth elements provides favorable interaction characteristics with both photons and fast neutrons. These findings highlight the potential of this high-entropy oxide as a precursor for multifunctional coating materials. However, it should be noted that this work represents a preliminary powder-level investigation, and further research on actual coating deposition and thermal testing is required to validate its service performance.
- MakaleYalnız künye2026Scopus SJRQ2Compositional control of structural, magnetic, and gamma-ray attenuation properties in rare-earth substituted Ho-based double perovskite oxides synthesized via mechanical alloying and oxidation
Özkul, İskender; Kalay, Ece; Güler, Seval Hale; Karaduman, Oktay; Şimşek, Telem; Bülbül, Zeynel Abidin; Aksu Canbay, Canan; Sen Baykal, Duygu; ALMisned, Ghada; Tekin, H.O.
Rare-earth substitution provides a route for tailoring the structural, magnetic, and gamma-ray attenuation behaviour of Ho-based Co-Mn double perovskites; however, the combined effects of rare-earth ionic size, magnetic character, and substitution level remain insufficiently understood. In this study, Ho1.5La0.5CoMnO6, Ho1.2Er0.8CoMnO6, Ho1.3Sm0.7CoMnO6, and Ho2CoMnO6 were synthesized through a two-step route involving mechanical alloying to obtain precursor powders, followed by annealing at 1000 °C in air to promote oxidation and double-perovskite phase formation. Their structural, thermal, surface-chemical, magnetic, and gamma-ray attenuation properties were examined by X-ray diffraction, thermal analysis, X-ray photoelectron spectroscopy, SEM-EDS, vibrating-sample magnetometry, and theoretical shielding calculations based on half-value layer (HVL) and transmission factor (TF) parameters. The XRD patterns were consistent with predominantly monoclinic P21/n type double-perovskite structures, while weak additional reflections suggested possible minor secondary phases. SEM-EDS showed homogeneous elemental distributions, and XPS analysis indicated Co2+ dominated and mixed Mn-valence characteristics in the spectra where reliable component analysis was possible. All compositions exhibited a low-temperature ferromagnetic-like field response but did not reach magnetic saturation at 3 T. Ho2CoMnO6 and Ho1.3Sm0.7CoMnO6 showed the highest field-dependent magnetization values at 10 K, whereas Ho1.2Er0.8CoMnO6 displayed the lowest response. The theoretical gamma-ray attenuation calculations showed clear composition-dependent differences. At 0.662 MeV, the HVL values were 1.0650, 0.9972, 1.0438, and 0.9967 cm for Ho1.5La0.5CoMnO6, Ho1.2Er0.8CoMnO6, Ho1.3Sm0.7CoMnO6, and Ho2CoMnO6, respectively. At the same photon energy and a thickness of 1.0 cm, the corresponding TF values were 0.0896, 0.0858, 0.0882, and 0.0860. Thus, Ho1.2Er0.8CoMnO6 and Ho2CoMnO6 exhibited the lowest HVL and TF values among the investigated compositions. The shielding calculations identified Ho1.2Er0.8CoMnO6 and Ho2CoMnO6 as the most effective attenuators, with lower HVL and TF values across the investigated energy range. These results show that rare-earth substitution enables compositional tuning of magnetic and theoretical gamma-ray attenuation behaviour, with the observed trends reflecting the combined influence of rare-earth ionic size, magnetic character, substitution level, and valence-state complexity.
- MakaleYalnız künye2026Scopus SJRQ2A bias-corrected partial bernstein copula approach for nonparametric regression
Susam, Selim Orhun
Multivariate Bernstein polynomials yield smooth, boundary–bias–free estimators for copulas and their derivatives. The classical partial Bernstein copula derivative of Janssen et al. (2016) suffers from an uncorrected first–order bias that can dominate the mean squared error (MSE) in moderate samples. We introduce a simple double–difference correction that removes the entire leading bias term while increasing the variance by a small fixed multiplicative factor only. When this bias–reduced partial derivative is plugged into the copula based regression integral, the resulting estimator achieves substantially smaller bias and uniformly lower MSE than the classical version. Analytic bias–variance expansions are provided, and a comprehensive Monte Carlo study shows up to 50% reductions in MSE across a range of Bernstein copula degrees. A real data application to the mcycle dataset further demonstrates the practical advantages of the method, with the smoothing parameters selected by least squares cross validation (LSCV).
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ1Enhancement of chlorogenic acid application on the quality, biochemical properties, and cold storage stability of sweet cherry fruit
Gundogdu, Muttalip; Sen, Fatih; Aglar, Erdal; Kılıncer, Mustafa
This study investigated the effects of chlorogenic acid (ChlA) applications on postharvest quality characteristics and biochemical components of sweet cherry (Prunus avium L. cv. ‘0900 Ziraat’) fruit. Fruits were treated with control, 0.5, 1.0, and 1.5 mM ChlA and stored at 4 ± 0.5 °C for 21 days. Storage significantly increased weight loss and decay rate while reducing respiration rate and biochemical quality. At the end of storage, the 1.5 mM ChlA treatment reduced weight loss from 8.32% in the control to 5.20% and decreased decay rate from 9.16% to 4.50%. ChlA applications also slowed changes in soluble solids content (SSC), titratable acidity (TA), and pH, contributing to a more stable chemical composition. The highest vitamin C content at the end of storage was recorded in the 1.5 mM ChlA treatment (11.71 mg 100 g⁻¹), compared with 9.97 mg 100 g⁻¹ in the control. Similarly, chlorogenic acid significantly delayed losses of organic acids and phenolic compounds; for example, quercetin content was maintained at 6.80 mg 100 g⁻¹ in 1.5 mM ChlA-treated fruit compared with 3.78 mg 100 g⁻¹ in the control after 21 days of storage. Principal component analysis (PCA) and correlation analysis revealed strong relationships among quality attributes and biochemical compounds and demonstrated the positive role of ChlA in preserving overall fruit quality. Overall, chlorogenic acid, particularly at 1.5 mM, effectively reduced postharvest quality losses and enhanced biochemical stability during cold storage.
- MakaleYalnız künye2026Scopus SJRQ3Enrichment factor (EF) of REEs in soil fractions of different grain sizes: Malatya–Kuluncak, Başören Village
Kirat, Güllü; Erdem, Özlem
This study investigated the enrichment factor (EF) and geochemical relationships of rare earth elements (REEs) in different grain size fractions of soils collected from Başören village, Kuluncak district, Malatya province, Türkiye. A total of 22 surface soil samples were collected and separated into five grain size fractions (< 75, 75–150, 150–180, 180–250, and > 250 μm), yielding 110 samples. Concentrations of La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Yb, Lu, and Y were determined by ICP-MS. EF values were calculated using Al as the reference element, and Pearson correlation was applied to evaluate the relationships between REEs. Strong positive correlations were observed among most REEs (r = 0.999–1.000, p < 0.01), whereas weaker correlations were shown between Eu and Gd elements and La, Ce, Pr, Nd, Sm, Tb, Dy, Ho, Yb, Lu, and Y elements. Moderately positive relationships were determined between Al and REEs, with coefficients of determination (R2) ranging from approximately 0.33 to 0.54, indicating that REE distributions are primarily controlled by aluminosilicate minerals and fine-grained fractions. EF values varied between sampling areas and grain size fractions. While negligible to moderate enrichment was observed in most samples, significant to very high enrichment was observed in some samples, particularly for Gd, Tb, Dy, Ho, and Yb. Samples T16 and T20 showed the highest enrichment levels, with Gd reaching very high enrichment classes (EF = 20–40). The results show that the spatial distribution and enrichment patterns of rare earth elements are largely influenced by lithogenic sources and grain size-dependent mineralogical characteristics.
- MakaleYalnız künye2026Scopus SJRQ2Drying Shrinkage and Microstructural Properties of Geopolymers Including Steel and Iron Particles
Gulmez, Nihan; Kockal, Niyazi Ugur
Geopolymer mortars show significantly higher shrinkage than normal Portland cement mortars. So, one of the most important disadvantages of these promising alternative binding materials for their wider applications is the cracking occurring by shrinkage. Different inserts and fibers are used in fresh mixtures in order to control drying shrinkage cracks and to provide mechanical capacity. The aim of this study is to investigate the effectiveness of using both metal particles (iron particles) and metallic fibers (steel particles) in geopolymer composites to reduce drying shrinkage. In addition, microstructural properties of composites were determined by scanning electron microscopy (SEM) and X-ray diffraction (XRD) analyses and causes of shrinkage were investigated in detail. Mixtures containing 20% silica fume have 38.4% lower drying shrinkage than slag-based mixtures. In slag-based composites, decreases in drying shrinkage were found as 18.8% and 49.1% when adding 10% iron particles or 10% steel particles compared to metal-free composites.
- MakaleYalnız künye2026Scopus SJRQ2Oxalic Acid–MAP Synergy in Maintaining Postharvest Grape Quality and Biochemical Content
Küçüker, Emine; Ağlar, Erdal; Sümbül, Ahmet; Demir, Selda; Özcengiz, Ceyda Kizgin; Güzel, Sedat
This study was conducted to investigate the effects of oxalic acid (OA) and modified atmosphere packaging (MAP) applications, both alone and in combination, on the preservation of postharvest quality characteristics of grapes. All samples were stored at 4 ± 1 °C and approximately 80–85% relative humidity for 28 days. The OA + MAP treatment most effectively limited weight loss (10.49%), soluble solids content (SSC; 20.62°Bx), and decay rate (1.78%), while providing the best preservation of total phenolic content (68.25% change), antioxidant activity (53.19% change), and individual phenolic compounds at the end of the storage period. A decrease in color parameters, including L* and a* values, was observed, with OA treatment particularly prominent in preserving the red color. Principal component analysis and hierarchical heatmap analysis confirmed distinct clustering of treatments from the control, highlighting the process efficiency of packaging-based interventions. The combination of OA and MAP treatments was more effective than either treatment alone in reducing quality losses in grapes during storage. Therefore, the widespread use of OA + MAP in commercial storage and marketing processes is recommended.
- Kitap BölümüYalnız künye2026Chen Inequalities for Submanifolds of Kenmotsu Space Forms
Ünal, İnan; Barman, Ajit; Prakasha, D.G.
This chapter explores Chen-Ricci inequalities for submanifolds of Kenmotsu space forms endowed with a ϕ−η-connection, a special type of quarter-symmetric metric connection. The geometric background of Kenmotsu space forms and the properties of the ϕ−η-connection are briefly introduced, followed by the derivation of relevant curvature relations. The study proceeds by examining submanifolds within this framework, focusing on the behavior of curvature tensors and associated Riemannian invariants. Using the properties of the ambient space and the chosen connection, several inequalities involving Chen invariants and Ricci curvatures are obtained.
- MakaleAçık Erişim2026Scopus SJRQ2Oxidative polycondensation of phenylhydrazine-based Schiff base: structural, thermal, optical and dielectric investigations
Kaya, İsmet; Bayır, Erdal; Solmaz, Adnan
In this study, the Schiff base 3-((2-phenylhydrazono)methyl)benzene-1,2-diol (3-PHMB) was synthesized through a condensation reaction between 2,3-dihydroxybenzaldehyde (2,3-DHBA) and phenylhydrazine (PH). The obtained Schiff base was subsequently subjected to oxidative polymerization in a 10% KOH (w/v) aqueous medium using hydrogen peroxide (35% H₂O₂), sodium hypochlorite (6–14% NaOCl), and oxygen (O₂) as oxidants, yielding the oligomers o-(3-PHMB)-P, o-(3-PHMB)-H, and o-(3-PHMB)-O. The structural, morphological, thermal, optical, and electrochemical characteristics of the synthesized compounds were comprehensively investigated using FT-IR, NMR, SEM, TG-DTA, UV-Vis, CV, and GPC techniques. UV-Vis and CV analyses revealed that the optical band gaps (Eg) were 2.33 eV for 3-PHMB, 2.06 eV for o-(3-PHMB)-P, 2.16 eV for o-(3-PHMB)-H, and 2.02 eV for o-(3-PHMB)-O, while the electrochemical band gaps (Eg′) were calculated as 2.03 eV, 1.65 eV, 1.63 eV, and 1.50 eV, respectively. Thermal analysis showed that the char yields at 1000 °C were 41.43% for o-(3-PHMB)-P, 38.72% for o-(3-PHMB)-H, and 44.35% for o-(3-PHMB)-O. Dielectric measurements indicated that o-(3-PHMB)-O exhibited higher polarization capacity and energy storage ability compared to the other oligomers. Moreover, the electrical conductivity values increased steadily with frequency; at 100 kHz, the conductivity was recorded as 1.74 × 10⁻⁵ S cm⁻¹ for o-(3-PHMB)-O and 1.64 × 10⁻⁵ S cm⁻¹ for o-(3-PHMB)-P. These findings demonstrate that the synthesized Schiff base oligomers are promising candidates for dielectric and optoelectronic applications due to their high thermal stability, controlled molecular weight distribution, and semiconducting properties.
- MakaleAçık Erişim2026Scopus SJRQ2Risk Assessment via Hazard Scenario in Cereal Production Under Rising CO
Susam, Selim Orhun; Peker, Ayse Esra; Hudaverdi, Burcu
Global food security has been seriously threatened by air pollution and climate change. The impact of CO on crop output is complicated because of its interactions with temperature, nutrient availability, and other pollutants, even though it is necessary for photosynthesis. This study develops a copula-based hazard modeling framework to assess how increasing CO concentrations affect cereal production risk across multiple crops. By integrating hazard scenario analysis with localized dependence measures, we estimate both failure probabilities and dynamic associations between CO emissions and cereal yields. A novel localized version of Kendall’s implemented via a Bernstein copula approximation, enables flexible modeling of heterogeneous and nonlinear dependence structures. As the relationship between CO emissions and crop-specific yields changes in both density and direction, it may indicate asymmetries or nonlinearities that are missed by measures of global dependence. Empirical results reveal distinct crop-specific responses. While CO levels enhance yields for rice, millet, and sugar beet, they reduce or destabilize production for rye and lentil, indicating asymmetric sensitivities. Failure probabilities increase with the time horizon, reflecting the accumulation of climate-related production risk. The findings emphasize the significance of integrating probabilistic hazard modeling into climate-resilient agricultural planning and food security policies, as crop-specific risk exposure has increased in recent time periods.
AtıfWoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Electrochemical analysis of tetracycline in drug formulations with glutardialdehyde-Fe2O3 modified glassy carbon electrode
Koçak, Berna; İpek, Yeliz
In this study, a glutardialdehyde-Fe2O3 modified glassy carbon electrode (GA2–Fe2O3/GCE) was used as a sensor for the electrochemical analysis of tetracycline (TC) in drug formulations. The electrochemical behavior of TC on GA2-Fe2O3/GCE was investigated using cyclic voltammetry (CV), while the quantitative determination was performed via differential pulse voltammetry (DPV). After optimizing the experimental conditions, the linear working range, limit of (LOD) detection, and limit of quantification (LOQ) of the GA2-Fe2O3/GCE electrode developed for the electrochemical analysis of TC were found to be 1.0 × 10−6–2.0 × 10−5 M and 2.0 × 10−5–9.9 × 10−6 M; 4.78 × 10−7 M; 1.59 × 10−6 M, respectively. In the sensor application study conducted on a Tetra® Gensenta tablet to demonstrate the applicability of the developed method, the linear working range, LOD, and LOQ values of the sensor were found to be 1.0 × 10−6–14.8 × 10−5 M; 5.72 × 10−7 M and 1.74 × 10−6 M, respectively. The applicability of the method was demonstrated through tablet recovery studies, and the tablet recovery ratio was determined to be 100.94%.
- BildiriAçık Erişim2026Scopus SJRQ4Investigation of Surface Leakage Currents of High Voltage Insulators Under Different Pollution Conditions at Power Frequency AC Voltage
Külekçioğlu, Abdülcelil; Çetin, Muhammed Sefa; Gülan, Harun; Özdemir, Mahmut Temel; Gençoğlu, Muhsin Tunay; Cebeci, Mehmet; Moldovan, L.; Gligor, A.
In this paper, the electrical behavior of high voltage insulators under different pollution conditions has been investigated experimentally at power frequency (50 Hz) alternating voltage. The main objective of the study is to reveal the effect of pollution layers on the surface leakage currents and flashover voltages of insulators. For this purpose, a climatic chamber with controllable temperature and humidity conditions, together with a 200 kV high voltage test system, was employed. Three types of insulators (standard porcelain, fog-type porcelain, and silicone composite) were tested, and artificial pollution layers of varying densities were applied to their surfaces in accordance with standard procedures. During the experiments, the surface leakage currents were recorded, and flashover voltages were determined by gradually increasing the applied voltage. The obtained data enable comparative analyses for different pollution levels and insulator types. The originality of this study lies in providing a comprehensive dataset through numerous experiments under controlled laboratory conditions, thereby addressing gaps in the existing literature. This dataset establishes a solid foundation for the modeling of insulators electrical behavior and for the development of new approaches in future research.
- MakaleAçık Erişim2026Scopus SJRQ1Ajuga vestita Boiss: a “natural gold mine” for the design of novel nutraceuticals and phytopharmaceuticals
Cetiz, Mehmet Veysi; Zengin, Gokhan; Leyva-Jiménez, Francisco Javier; Fernández-Ochoa, Álvaro; de la Luz Cádiz-Gurrea, Maria; Custódio, Luísa; Rodrigues, Maria João; Pereira, Catarina G.; Lazarova, Irina; Balos, Mehmet Maruf
Members of the Ajuga genus are of significant interest due to their traditional applications in various countries, and have therefore been the subject of phytochemical research investigating their natural bioactive compounds. The aim of this study was to determine the chemical composition and biological activities of various Ajuga vestita extracts (ethyl acetate, ethanol, ethanol/water and water). The biological effects assessed included antioxidant, enzyme inhibition and cytotoxic activities. The extracts were chemically profiled using ultra-high-performance liquid chromatography – electrospray ionization – quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS), which identified 121 compounds, including iridoids, flavonoids, and phenolic acids. The ethanol/water extract exhibited superior radical scavenging activity (2,2-Diphenyl-1-picrylhydrazyl (DPPH): 43.13 mg Trolox equivalent (TE)/g; 2,2-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS): 45.37 mg TE/g) and reducing power (cupric reducing antioxidant capacity (CUPRAC): 103.43 mg TE/g; ferric reducing antioxidant power (FRAP): 45.29 mg TE/g). Regarding enzyme inhibition, the ethanol extract exhibited the greatest inhibition of acetylcholinesterase (AChE), butyrylcholinesterase (BChE), glucosidase, and tyrosinase, whereas the ethyl acetate extract was most effective against amylase. Regarding cytotoxicity, the ethyl acetate extract exhibited the strongest effect, significantly reducing cell viability in all cell lines and having a particularly strong impact on murine bone marrow stromal (S17) cells, with viability at 30.8 ± 2.7% at a concentration of 100 µg/mL. By contrast, the aqueous extract exhibited low cytotoxicity, maintaining high cell viability (over 94% at 50 µg/mL and over 74% at 100 µg/mL). Additionally, network pharmacology, molecular docking and molecular dynamics simulations were employed to investigate the multi-target mechanisms and binding stability of A. vestita phytochemicals. These findings provide new, detailed insights into A. vestita and suggest its potential as a raw material for developing health-promoting nutraceutical and pharmaceutical products.
- EditoryalYalnız künye2025Scopus SJRQ4Preface
Castillo, Oscar; Çuvalcıoğlu, Gökhan; Tuğrul, Feride
- MakaleAçık Erişim2025Scopus SJRQ2Ultrasonic-assisted high-speed micro-milling of Ti6Al4V
Mahmat, Aybars; Agar, Salih; Tosun, Nihat
In this study, the effects of different cooling techniques and process parameters on the performance characteristics of ultrasonic and conventional micro-milling (1-micron fixed amplitude, 20 and 30 kHz frequencies) of Ti6Al4V alloy were experimentally investigated. The impact of independent factors on tool life, cutting force, surface topography, surface roughness and cutting temperature was determined in order to find out machinability characteristics in this paper. Machining operations were performed under 20,000, 40,000 and 60,000 rpm revolution speed. The cutting depth and feed rate of the machining were kept fixed at 0.02 mm and 0.66 mm/s, respectively. Uncoated carbide and TiSiN-coated carbide cutting tools were used in machining operations. Dry machining and two different minimum quantity of lubrication (MQL) methods were used as cooling methods. According to the results achieved in the existing study, the ultrasonic micro-milling improved the surface roughness, reduced cutting forces, cutting zone temperature, and cutting tool wear. It was also found that MQL methods among other methods used in the present study have a greater effect on performance characteristics. As the spindle speed increased, the workpiece surface roughness, cutting force and tool life decreased, while the cutting zone temperature increased.
AtıfScopus4WoS4OpenAlex4İncele - Kitap BölümüYalnız künye2025Scopus SJRQ4Examination of Recycled Papers Using an Intuitionistic Fuzzy Set-Based MCDM
Tuğrul, Feride
Multi-criteria decision making (MCDM) methods are used in combination with intuitionistic fuzzy sets offer very favorable results to decision makers. Intuitionistic fuzzy set-based MCDM methods defined in this direction were utilized in many application areas. In this study, recycled papers were examined separately according to Cyan, Magenta and Yellow colors. Paper samples, which passed through a total of 4 recycling stages, were evaluated according to their L, a, and b values. The decision making mechanism established in the study was observed that provides effective results in the fields such as paper quality, print quality, recycling, etc.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2Effect of neodymium addition on the structural, mechanical, and magnetic properties of FeCoNiCu(MnCr)0.5 high entropy alloys
Yayla, Nihal; Şimşek, Telem; Boyrazlı, Mustafa; Güler, Ömer
Neodymium (Nd), a rare earth element, was incorporated into the [FeCoNiCu(MnCr)0.5] high-entropy alloy (HEA) at weight percentages of 0.5%, 1%, 2%, and 5%. The alloys were synthesized successfully using the arc melting method. X-ray diffraction (XRD) analysis confirmed that both the undoped and Nd-doped alloys exhibit a single-phase solid solution with a face-centered cubic (FCC) crystal structure, consistent with thermodynamic predictions derived from the Miedema model. Scanning electron microscopy (SEM) revealed a dendritic structure in the undoped alloy, which was replaced by Cu- and Cr-rich regions in the 5% Nd-doped alloy, as confirmed by energy dispersive spectroscopy (EDS). Differential scanning calorimetry (DSC) indicated an endothermic peak in the undoped alloy and minor thermal responses in Nd-doped samples, without distinct phase transitions within the 0–800 °C range. Mechanical testing demonstrated substantial enhancements in both hardness and tensile strength with increasing Nd content. The 5% Nd-doped alloy exhibited the highest performance, achieving a Vickers hardness of 370 HV and a tensile strength of 1186 MPa. Magnetic testing indicated ferromagnetic behavior in all samples, with Nd additions significantly enhancing magnetic properties. Notably, the 5% Nd-doped alloy achieved a saturation magnetization (Ms) of 41 emu/g and a coercivity (Hc) of 6.3 Oe, highlighting improved magnetic softness and rapid magnetization loss characteristic of soft magnetic materials.
AtıfScopus2WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ1Median-Linear model for solar radiation estimation by comparison with ANFIS and Angström-Prescott methods
Acar, Ramazan; Saplıoğlu, Kemal; Güçlü, Yavuz Selim
This paper aims to propose a novel approach to estimating solar radiation in relation to sunshine duration. A hybrid Median-Linear (MedLin) model is presented including both the median value and the linear solar radiation equation. First stage is concerned with two-stage alternative of the proposed model with inputs and outputs exhibiting a seasonality structure and it is seasonally adjusted using median values. In the second stage, the linear equation for the difference values is determined with estimations the difference in solar radiation. Finally, the median value and the estimated difference value are added. Monthly total solar radiation values are estimated using monthly total sunshine duration data from Mardin, Adana, Bozova, Hakkari, Şırnak, and Van stations in Southeast of Türkiye for the application. The predictions of the MedLin approach are compared with the results of the Angström-Prescott, ANFIS, and Mean-Linear (MeanLin) models. As for the prediction of monthly total solar radiation data at Mardin and Hakkari stations, the proposed MedLin approach yields the best results compared to other methods with mean absolute percentage error 3.508% and 8.951%, respectively. Angström-Prescott model for Adana, MeanLin method for Bozova, ANFIS model for Şırnak, and MeanLin model for Van provided the best predictions with mean absolute percentage error 3.721%, 3.285%, 4.278%, and 13.101%, respectively. The results show that the MedLin technique proposed in this paper is useful for solar radiation estimation.
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