Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(110)
- Güler, Ömer(70)
- Akkurt, Nevzat(69)
- Serdar, Osman(57)
- Yucesan, Melih(55)
- Celik, Erkan(53)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Bulut, Hasan(49)
- Baskonus, Haci Mehmet(48)
- Paksoy, Mehmet Yavuz(46)
- Yildirim, Numan(45)
- Kocabaş, Mehmet(41)
- Yildirim, Nuran Cikcikoglu(41)
- Zengin, Gokhan(40)
- Alataş, Mevlüt(39)
- Ince, Muharrem(38)
- Benzer, Fulya(37)
- Mete, Suleyman(34)
- Aslan, Naim(33)
- Kutlu, Banu(33)
- Yildirim, Ozal(33)
- Topal, Murat(32)
- Tanyol, Mehtap(30)
- Batan, Nevzat(28)
- Özkul, İskender(28)
- Kök, Mediha(27)
- Utku, Anıl(27)
- Can, Erkan(26)
- Danabas, Durali(26)
- Sulaiman, Tukur Abdulkadir(26)
- Ates, Mehmet(25)
- Ezer, Tülay(25)
- Guler, Omer(25)
- Kutluyer, Filiz(25)
- Say, Yakup(25)
- Serin, Faruk(25)
- Erguven, Gokhan Onder(24)
- Onat, Onur(24)
- Cakilcioglu, Ugur(23)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ4Prevalence of Depression and Associated Factors in Pregnant Women Attending the Emergency Obstetrics Clinic; [Acil Kadın Doğum Polikliniğine Başvuran Gebelerde Depresyon Sıklığı ve Etkileyen Faktörler]
Ak, Öznur; Beydağ, Kerime Derya; Dal, Nursel Alp
The goal of this descriptive study was to assess the prevalence of depression among pregnant women attending the emergency obstetrics clinic and to evaluate the relationship between sociodemographic, obstetric, and social-life characteristics and depression levels. The study was conducted at the University of Health Sciences Sarıyer Hamidiye Etfal Training and Research Hospital between June 6, 2025, and August 1, 2025. The study population comprised 720 pregnant women, and the sample consisted of 251 volunteer pregnant women selected at random. Data were collected using a researcher-developed questionnaire and the Beck Depression Inventory (BDI). The mean BDI score was 10.65 ± 7.02. The vast majority of pregnant women exhibited mild depressive symptoms. While no significant differences were found between depression and educational level, attendance at childbirth preparation courses, or number of pregnancies, significant associations were identified between depression and economic status, type of marriage, whether the pregnancy was planned, the belief that social life would be restricted, a perceived negative impact on sexual life, deterioration in relationships with the spouse, and exposure to verbal violence (p < 0.05). Depression during pregnancy is a major public health problem and is shaped by multifactorial influences. It is recommended that psychosocial assessments be integrated into antenatal follow-up, that at-risk groups be identified early, and that appropriate counseling services be provided. Depression screening should be conducted during routine obstetric follow-ups, and pregnant women in high-risk groups should receive psychosocial support and social service support.
- MakaleYalnız künye2026Scopus SJRQ1Regionalized Bayesian site amplification models for Türkiye
İçen, Abdullah
Accurate representation of site amplification is essential for seismic hazard analysis, particularly in regions with complex geological structure. This study develops a Bayesian hierarchical site amplification model that captures nonlinear, period-dependent, and regionally variable behavior using an extensive strong-motion dataset from Türkiye. The model employs a piecewise VS30 functional form derived from nonparametric scaling and clustering, and incorporates nonlinear scaling with reference rock motion intensity (PSArock). Regional variability is introduced through random-slope adjustments, enabling spatial differences in amplification to be represented while maintaining statistical stability through partial pooling. Results indicate pronounced nonlinear and regional variability for soft soils and reduced regional differences for stiff sites (VS30 > 600 m/s). A key observation is a systematic amplification peak within the 400–550 m/s velocity range, where the model exhibits consistent underprediction across periods. Because this feature persisted even for stations located on flat basin interiors, a detailed investigation of stations in this VS30 interval was conducted and is presented in the study. Mapping and site-specific examination reveal that many of these stations are located near slope breaks, basin edges, or transitional geological settings, suggesting that 2D/3D wave-propagation or impedance-transition effects—rather than VS30 alone—may drive the increase in the amplification. Additionally, residual underprediction persists at high-VS30 rock sites, highlighting the need for improved empirical characterization of stiff-soil and rock conditions. Overall, the proposed Bayesian framework provides a flexible, data-driven, and uncertainty-aware approach for modeling site amplification, with direct applications in probabilistic seismic hazard analysis and performance-based earthquake engineering.
AtıfOpenAlex1
İncele - MakaleYalnız künye2026Scopus SJRQ2Structural evolution and dual γ–neutron shielding performance of nano-Gd2O3 reinforced lithium borotellurite glasses
Durmus, Hasan; Kilic, G.; Ilik, E.; Kavaz, E.; Güler, Ömer; Birdogan, Selcuk; ALMisned, Ghada; Tekin, H.O.
This study investigates the structural, physical, and radiation-shielding properties of nano-Gd2O3-reinforced lithium borotellurite glasses with the composition 50TeO2-30B2O3-(20-x)Li2O-xGd2O3 (x= 0-10 mol %). X-ray diffraction and transmission electron microscopy confirmed the fully amorphous nature of the glasses and the homogeneous distribution of nanoscale Gd clusters. Density increased from 4.03 to 4.77 g/cm3, accompanied by compositional shifts, decreasing boron and increasing oxygen and tellurium contents, indicating enhanced structural compactness and electron density. Gamma-ray attenuation measurements revealed a 74 % increase in the linear attenuation coefficient from 8.33 to 14.53 cm−1 at 81 keV and a nearly 27 % reduction in the half-value layer from 1.21 to 0.89 cm. Effective atomic number values remained highest for Gd(n)10 across the photon energy range investigated. Experimental neutron dose measurements showed absorption improvements from 37.66 % to 51.91 %, while the effective removal cross-section increased from 0.1066 to 0.1096 cm−1, outperforming water, B4C, and graphite. Compared with the Gd-doped zinc borotellurite glasses reported in the literature, the present lithium-based system exhibited higher densification and superior dual γ-neutron attenuation. These results demonstrate that controlled nano-Gd2O3 integration into the lithium borotellurite matrix yields a stable, lead-free amorphous material with outstanding radiation-shielding efficiency for advanced photonic and nuclear applications.
AtıfScopus3OpenAlex3İncele - MakaleAçık Erişim2026Scopus SJRQ1Optimization of ultrasound-assisted extraction and biological activities of Crataegus monogyna Jacq. flowering branches using experimental design and artificial neural networks
Uysal, Sengul; Cvetanović Kljakić, Aleksandra; Lončar, Biljana; Zengin, Gokhan; Cakilcioglu, Ugur
Crataegus monogyna is widely used in traditional medicine due to its rich content of bioactive compounds. The present study aimed to evaluate the influence of extraction parameters, including solvent concentration, extraction time, temperature, and solid-to-liquid ratio, on total phenolics, total flavonoids, antioxidant DPPH (2,2-diphenyl-1-picrylhydrazyl), ABTS (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid), FRAP (ferric reducing antioxidant power), and CUPRAC (cupric reducing antioxidant capacity)), and enzyme inhibitory properties (α-amylase and tyrosinase). Furthermore, an Artificial Neural Network (ANN) model was applied to optimize the extraction conditions. The results demonstrated that extraction conditions significantly affect both chemical composition and biological activity. The optimal conditions (70% ethanol, 30 min, 45 °C, (1 : 30)) yielded extracts with high total phenolic (109.15 mg GAE per g), and total flavonoid content (70.74 mg RE per g), strong antioxidant activity (DPPH: 473.57 mg TE per g, ABTS: 537.58 mg TE per g, CUPRAC: 407.11 mg TE per g, FRAP: 393.91 mg TE per g) and notable enzyme inhibitory potential (0.53 mmol ACAE per g against α-amylase and 75.00 mg KAE per g against tyrosinase). The ANN model showed excellent predictive performance, confirming its suitability for modeling and optimization of complex extraction systems. The present study provides comprehensive insights into optimized ultrasound-assisted extraction methods for the recovery of maximum bioactive compounds and biological activities (antioxidant and enzyme inhibition effect) from C. monogyna flowering branches using experimental design and ANN model. These findings provide a reliable basis for the development of functional and pharmaceutical products. This journal is
AtıfScopus1WoS1OpenAlex1
İncele - 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 - MakaleYalnız künye2026Scopus SJRQ2Institutions, gendered informality, and intrahousehold distribution: A dual-economy model
Ateş-Saygılı, Çiğdem
We study how enforcement institutions shape formalization and the intrahousehold distribution of resources in a developing economy. The model combines an enforcement wedge inside informal technology, gendered formal-attachment margins, and a collective household with a state-dependent female Pareto weight. In the benchmark wage-responsive specification, enforcement raises formalization by compressing informal wages and reallocating work toward formal jobs. Yet aggregate formalization and women's intrahousehold gains need not move together. When women are more exposed to informality and men convert the induced formal-to-informal wage ratio into formal attachment more strongly in level terms, enforcement can lower women's relative earnings, relative formal status, the female Pareto weight, and the consumption ratio during adjustment. An exact effective-access transition and local calculations for the effective-access and reduced-form labor-disutility margins show that this adverse incidence can be offset within the model while preserving formalization gains. Descriptive quarterly evidence for Türkiye documents gendered dynamics in non-agricultural social-security non-registration around salient macroeconomic and institutional episodes. The empirical evidence motivates the labor-market exposure and access channels but does not observe household bargaining or individual consumption.
- MakaleAçık Erişim2026Scopus SJRQ1Comparative and systematically analysis of the effects of single and high-entropy rare earth oxide additives on the some physical properties and radiation shielding properties of copper composites
Kanca, Muhammed Sait; Yılmaz, Demet; Tasgın, Yahya; Kök, Mediha; Güler, Seval Hale
In this study, the effects of rare earth oxides (Gd₂O₃, La₂O₃, Eu₂O₃, Pr₂O₃, Dy₂O₃, and Y₂O₃) and high-entropy oxide (GdLaEuPrDyY)₂O₃ additives on the structural, mechanical, and radiation shielding properties of copper matrix composites were investigated. XRD and SEM-EDS analyses showed that the high-entropy oxide successfully formed in a single-phase bixbyite structure after mechanical alloying and was homogeneously distributed within the copper matrix. The rare earth oxide additive significantly reduced the crystal grain size of the Cu matrix and improved its mechanical properties. Specifically, the microhardness value reached 68.3 Hv in the composite with 20% high-entropy oxide additive, representing an increase of approximately 111% compared to pure copper (32.3 Hv). Gamma shielding results showed that the rare earth oxide additive significantly increased the photon attenuation capacity. Specifically, at 242 keV energy, the Dy₂O₃ additive increased the MAC value from 0.141 cm²/g to 0.246 cm²/g, providing a 74.5% improvement. The most important result is that the composite with 20% high-entropy oxide additive showed the highest shielding performance, achieving a MAC value of 0.278 cm²/g, which is significantly superior to pure copper. Furthermore, this composite exhibited the lowest HVL and MFP values, demonstrating the highest photon shielding efficiency. Neutron shielding analyses revealed that Gd₂O₃ and high-entropy oxide additives, in particular, increased thermal neutron attenuation performance to approximately 100%. These results demonstrate that high-entropy oxide additives provide a stronger impact compared to single oxide additives, offering superior performance in both gamma and neutron shielding. Consequently, copper composites doped with (GdLaEuPrDyY)₂O₃ stand out as promising alternative shielding materials for nuclear facilities, radiation protection systems, and advanced engineering applications due to their high shielding efficiency, improved mechanical properties, and non-toxic composition.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1A two-stage volunteer assignment model for post-disaster search and rescue operations
Ozdemir, Umit; Mete, Suleyman; Gul, Muhammet
Effective volunteer management requires ensuring operational continuity and maximizing benefits from all team members. Prioritizing volunteers with adequate knowledge and experience in task assignments is crucial for maintaining workflow continuity. This study employs a two-stage model for allocating areas and tasks to volunteers in search and rescue operations. The first stage identifies the optimal number of volunteer response centers using the P-median problem. Considering population density as demand, 7 out of 14 accessible and protected disaster collection areas meeting basic needs are selected as optimal response centers based on distance. In the second stage, a mixed-integer programming model is proposed for volunteer assignment, which prioritizes assigning the most knowledgeable and experienced volunteers to critical positions. The model’s flexibility and applicability are demonstrated by incorporating voluntary rest periods, which are allocated based on the urgent needs of response centers in various post-disaster scenarios. Solved using GAMS/CPLEX, the model’s results show that expert volunteers in low-demand scenarios are prioritized, working 5 out of 9 shifts, while other volunteers receive insufficient assignments. In high-demand scenarios, some response centers face volunteer shortages, with a deficit of 62 volunteers across 9 shifts in non-emergency areas. The study evaluates the benefits and drawbacks of the volunteer assignment model and offers recommendations for future research.
AtıfScopus2WoS2OpenAlex3İncele - MakaleAçık Erişim2026Scopus SJRQ2Federated agricultural yield forecasting under an Edge–Fog–Cloud framework: a multi-country privacy-preserving approach
Utku, Anıl; Barut, Abdulkadir; Alofaysan, Hind; Henni, Mohamed Djafar; Amoozegar, Azadeh
Predicting agricultural yields is crucial for ensuring global food security and adaptation to climate change. However, the centralized collection of agricultural data across countries might pose governance, privacy, and data sovereignty issues. This research presents a privacy-preserving model for predicting agricultural yields using federated learning within an edge-fog-cloud integrated architecture. The experiments have been performed on a European cereal production dataset for the period 1990–2022, using a time-aware forecasting scheme. Centralized, edge-only, federated, and hybrid learning techniques have been systematically compared to examine the influence of distributed optimization on forecasting performance. It can be seen that central classical machine learning algorithms have yielded the best predictive performance. Federated deep learning models, meanwhile, showed relatively poor forecasting accuracy compared to their centralized counterparts under a non-IID distribution of multi-country agricultural data. Edge-only learning, meanwhile, has yielded comparatively low generalization capabilities due to the absence of collaborative learning.
- MakaleAçık Erişim2026Scopus SJRQ2Cadmium-induced changes in haemato-immunological, oxidative stress and antioxidant parameters of Cyprinus carpio: Protective role of curcumin
Pala, Ayşegül; Eroğlu, Mücahit; Mişe Yonar, Serpil; İspir, Ünal; Yonar, Muhammet Enis
This study examined the adverse effects of sublethal concentrations of cadmium (Cd) and the potential of curcumin (CUR) to mitigate Cd-induced toxicity. We administered 1.5 and 3 mg/L of Cd and 100 mg/kg of CUR to fish (Cyprinus carpio) separately and in combination over 14 days. At the end of the experiments, various haematological and immunological parameters, oxidative stress levels and antioxidant parameters of fish were measured, and the differences between the groups were evaluated. Simultaneous CUR treatment with Cd reversed the changes in haematological parameters in fish, increased immune responses, reduced oxidative stress and normalized the impaired antioxidant enzyme activities. In summary, our study showed that dietary supplementation with CUR may be an effective strategy to reduce the toxic effects of Cd in carp.
- 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%.
- MakaleYayıncıda açık erişim2026Scopus SJRQ1Thematic Structure of Pedagogical Agent Studies: LDA Analysis for the Period 2020–2025
Turgut, Yigit Emrah; Aktı Aslan, Seda; Kopuz, Tuba; Aslan, Alper; Allison, Jordan; Özyurt, Özcan
This study examines 2,360 pedagogical agent (PA) articles published between 2020 and 2025 to identify thematic structures, trends, and research gaps through bibliometric analysis and LDA-based topic modeling. The optimal model produced 10 themes (c_v = 0.4767). The dominant themes—Learner Interaction with Virtual Assistants in Education, Student-Centred Learning and Individual Guidance, and NLP Foundations for Pedagogical Agents—account for 51.3% of publications. Trend analyses revealed consistent growth in both Artificial Intelligence and Pedagogical Design in Education and NLP Foundations for Pedagogical Agents, while Learner Interaction with Virtual Assistants in Education reached saturation. Interaction network results showed these themes at the conceptual core of the field, whereas AI-Driven Medical Chatbots, Knowledge-Based Learning Models, and Student Experiences in Intelligent Learning Environments emerged as future research areas. Overall, findings highlight a strong thematic shift toward artificial intelligence, natural language processing, and student-centered learning.
- MakaleAçık Erişim2026Scopus SJRQ3Analysis of Visible Light Communication Performance in LOS Propagation Model with PSO-Cosh-Based Filter
Fethiye Merve, Kavak Imak; Fatmanur, Atar; Duygu, Kaya; Turgay, Kaya
Due to the increasing data transfer in wireless communication technologies, Visible Light Communication (VLC), one of the branches of wireless communication technology, is also developing within this framework. VLC holds an advantage over other communication branches in terms of energy efficiency, high bandwidth, and reliability. In this context, research on VLC-based Light Fidelity (Li-Fi) technology has gained momentum in recent years. In systems built with this Li-Fi technology, data is transmitted through an LED bulb, which is used for illumination. In this study, to analyze the performance of systems where data transmission is provided by VLC, the capacity to improve the shape of the transmitted signal is investigated using systems designed with different filtering techniques under LOS channel conditions. The main objective of this study is to demonstrate the improving effect of the proposed PSO-Cosh-based model on the shape of the transmitted signal compared with traditional filtering methods. In this way, in addition to IIR digital filtering techniques, the analysis of the filter coefficients obtained by optimizing the Cosh window function with Particle Swarm Optimization (PSO) demonstrates the originality of the study.
- MakaleAçık Erişim2026Scopus SJRQ1Thematic Evolution of Educational Technology Research: A Large-Scale Topic Modeling Perspective
Aslan, Alper; Aktı Aslan, Seda; Turgut, Yiğit Emrah; Allison, Jordan; Özyurt, Özcan
This study aims to reveal the thematic evolution of the educational technology field by analyzing 17,393 articles published between 2000 and 2024 in ten leading journals using the Latent Dirichlet Allocation (LDA) based topic modeling. Based on the analysis of title, abstract, and keywords, 20 themes were identified and grouped under seven broader meta-themes such as “Teacher Professional Competence and Technology Adoption”, “Digital and Disciplinary Literacy Development”, and “Immersive and Experiential Learning Technologies”. The model achieved its highest coherence at K = 20 (c_v = 0.4091), and the stability of the thematic structure was supported through additional runs with alternative hyperparameter configurations and expert validation. The findings show that there has been a significant increase in themes such as “Technology Integration”, “Teacher Roles in Online Learning Design”, and “Technology Acceptance and Self-Efficacy” in recent years. Temporal trend and growth analyses indicate that these themes will continue to shape the research landscape in the upcoming years. This holistic approach, which overcomes the contextual limitations of traditional bibliometric analysis, makes a significant contribution to the literature by mapping the last 25 years of scholarly accumulation in educational technology.
AtıfScopus2OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ2Effect of Zinc Content on the Mechanical, Corrosion, Tribological and Electrical Properties of Spark Plasma-Sintered Copper/Graphene Composites
Özkaya, Serdar; Adabaş, Yaren; Çelebi, Müslim; Karabacak, Abdullah Hasan; Çelik, Ertuğrul
Copper-based hybrid metal matrix composites reinforced with graphene and zinc were developed to achieve a balanced combination of mechanical strength, corrosion resistance, wear performance, and electrical conductivity. In this study, Cu matrix composites containing a constant graphene content of 1 wt.% and varying Zn contents (0, 5, 10, and 15 wt.%) were fabricated through mechanical alloying followed by Spark Plasma Sintering (SPS). The effects of zinc content on microstructure, densification, hardness, corrosion behavior, tribological performance, and electrical conductivity were systematically investigated. Microstructural analyses revealed that the combined use of graphene and Zn significantly influenced grain refinement, interfacial stability, and densification behavior. The composite containing 10 wt.% Zn exhibited the highest relative density (~90.5%) and maximum hardness (62 HB), indicating an optimal reinforcement level. Corrosion tests conducted in 3.5 wt.% NaCl solution demonstrated that the 10 wt.% Zn composite showed the most noble corrosion potential and the lowest corrosion current density, which was attributed to reduced porosity and improved microstructural homogeneity. Tribological results confirmed that graphene contributed to a self-lubricating effect, while Zn enhanced load-bearing capacity, leading to improved wear resistance under increasing normal loads. Electrical conductivity measurements showed a gradual decrease with increasing Zn content, mainly due to solid-solution-induced electron scattering in the Cu matrix; however, the fixed graphene addition and effective SPS consolidation helped preserve conductive pathways, allowing all composites to retain acceptable conductivity levels. The results indicate that the hybrid Cu–graphene–Zn composites exhibit a balanced combination of mechanical, corrosion, tribological, and electrical properties, with 10 wt.% Zn emerging as the optimal composition.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Physical and gamma-ray shielding characteristics of Copper Matrix Refractory High Entropy Alloy Reinforced Composite: an extensive experimental and computational approach
Kuluöztürk, Zehra Nur; Kuluöztürk, Muhammed Fatih; Güler, Seval Hale; Doğru, Mahmut; Güler, Ömer
Refractory High Entropy Alloys (RHEAs) have become an attractive alternative for radiation shielding applications due to their high mechanical strength, thermal resistance, structural stability, and compositional diversity. In this study, Cu-based composites containing 0–20 wt% RHEAs were prepared, and the crystal structure, morphological properties, and radiation shielding performance of the synthesized Cu-RHEA were investigated experimentally and theoretically. Measurements were performed using a NaI(Tl) detector system with point sources of 133Ba, 137Cs, 22Na and 60Co emitting gamma energies in the range of 0.356–1.333 MeV. In addition, theoretical calculations were carried out using the FLUKA and Phy-X/PSD, showing good agreement with the experimental data. Linear attenuation coefficient (LAC) values were found to decrease with increasing photon energy and to increase with increasing RHEA content. In the 0.356–1.333 MeV energy range, the experimental LAC values ranged from 0.7599 to 0.3818 cm−1 for Cu-RHEA0 and from 0.9594 to 0.4221 cm−1 for Cu-RHEA20. At 0.662 MeV, the LAC value increased from 0.5426 cm−1 for Cu-RHEA0 to 0.6183 cm−1 for Cu-RHEA20. In terms of half-value layer (HVL), the Cu-RHEA20 sample exhibited a value of 0.729 cm at 0.356 MeV, approximately 20% lower than the 0.912 cm value of Cu-RHEA0. Compared with conventional shielding materials reported in the literature, the Cu-RHEA20 sample reached a maximum mass attenuation coefficient (MAC) of 76.279 cm2⋅g−1 at 0.015 MeV, demonstrating clear superiority over ordinary concrete with a value of 7.079 cm2⋅g−1. These findings demonstrate that increasing RHEA content improves gamma-ray attenuation performance, highlighting Cu-RHEA20 as a promising next-generation shielding material.
- MakaleAçık Erişim2026Scopus SJRQ1Pomological and Biochemical Properties of Rosehip (Rosa canina L.) Genotypes
Ertugrul, Edanur; Aglar, Erdal; Ozturk, Burhan; Tekin, Onur; Alan, Davut; Ates, Umut
Rosehip (Rosa canina L.) is an important wild fruit species valued for its high nutritional and functional properties, particularly its richness in vitamin C, phenolic compounds, and antioxidant activity. Despite the widespread natural distribution of rosehip in Türkiye, many local genetic resources remain insufficiently characterized, limiting their effective utilization in breeding, conservation, and cultivation programs. The present study was conducted to evaluate the morphological, pomological, and biochemical characteristics of naturally growing rosehip genotypes in the Central District of Tunceli and to identify superior genotypes with potential for future breeding and cultivation efforts. Ten rosehip genotypes collected from natural populations at altitudes ranging from 1178 to 1256 m were evaluated for fruit and seed characteristics, fruit color, soluble solids content, titratable acidity, vitamin C, phenolic compounds, flavonoids, anthocyanins, antioxidant activity, and organic acid composition. Significant differences were observed among genotypes for all examined traits. Fruit weight ranged from 1.00 to 1.81 g, soluble solids content from 45.40% to 51.90%, titratable acidity from 1.03% to 2.77%, and vitamin C content from 235.67 to 1126.30 mg/100 g. Total phenolic content, total flavonoid content, total monomeric anthocyanin content, FRAP, and DPPH antioxidant activity values also varied significantly among genotypes. Organic acid analysis revealed considerable variation, particularly in citric and malic acid contents. Principal component analysis explained 92.4% of the total variation and grouped the genotypes into two major clusters. Based on the overall evaluation, genotypes TK2, TK5, TK9, and TK10 exhibited superior performance for several desirable traits. The results demonstrate the substantial genetic diversity present in the natural rosehip populations of Tunceli and highlight their potential value for germplasm conservation, selection breeding, and sustainable cultivation programs.
- MakaleYalnız künye2026Scopus SJRQ2Synthesis of Aminothiophene derivative complexes and electrochemical sensor application for carbofuran pesticide
Taş, Abdurrahim; İpek, Yeliz; Adiguzel, Ragip
In this study, a ligand named 2-amino-6-ethyl-4,5,6,7-tetrahydrothieno[2,3-c]pyridine-3‑carbonitrile (ATL), which is an aminothiophene ligand, was synthesized. ATL was used to synthesize ATL-Co(II), ATL-Cu(II), and ATL-Zn(II) complexes. The chemical structures of the complexes were elucidated by spectroscopic methods such as FT-IR, UV–visible, and LC-MS analysis, as well as TG-DTA analysis, magnetic susceptibility measurements, and elemental analysis. Finally, the electrochemical characterization of ATL and the electrochemical sensor application of its complexes was performed. In electrochemical sensor studies, a carbofuran pesticide sensor application was investigated. ATL exhibited an irreversible oxidation peak around 1.0 V. It was observed that ATL-Co(II), ATL-Cu(II), and ATL-Zn(II) complexes behaved similarly to ATL and exhibited an irreversible oxidation peak at the same potential. Carbofuran pesticide was added to the sensor medium using the standard addition method. The changes in peak current with different carbofuran concentrations constituted the data of the amperometric sensor application, and the changes in the peak potential constituted the data of the voltammetric sensor application. Linear working ranges, LOD, and LOQ values were calculated for ATL, ATL-Co(II), ATL-Cu(II), and ATL-Zn(II) complexes, separately. The widest operating range as a voltammetric sensor was achieved with the ATL: 20 μmol L−1 to 350 μmol L−1. The lowest LOD and LOQ values were achieved with the ATL-Co(II) complex for voltammetric detection as 8.8 μmol L−1 and 29.2 μmol L−1, respectively. The lowest LOD and LOQ values were achieved with the ATL-Co(II) complex as 1.6 μmol L−1 and 5.2 μmol L−1 with the amperometric technique, respectively.
- MakaleYalnız künye2026Scopus SJRQ3Analytical Solution of Discontinuous Contact Problem in Functionally Graded Layer and Homogeneous Layer
Kaya, Yusuf; Polat, Alper; Şükrü Özşahin, Talat; Bora, Pınar
In the study, the problem of discontinuous contact in two layers, one of which is functionally graded is solved using the theory of elasticity. In this problem functionally graded (FG) layer resting on homogeneous layer and loaded with two different rigid flat blocks. In addition, homogeneous layer is resting on a rigid plane. Frictions on all surfaces are neglected. The heights of the FG layer and the homogeneous layer are h1 and h2, respectively. When solving the problem, displacement and stress equations are substituted in the boundary conditions. Then the problem is demained to singular integral equations. Wherein unknown functions are the contact stresses under the two rigid flat blocks and the slope of the separation. These singular integral equations are solved numerically using the Gauss- Chebyshev integration formulas. The analyzes were performed for different inhomogeneity parameter (βh1), shear modulus ratio (μ2/μ-h1). distance between the rigid blocks ((a3-a2)/h1) and density parameter (γh1). Consequently, the stress distributions and starting and ending points of the separation area between the FG layer and homogeneous layer are determined for several dimensionless quantities.
- MakaleYalnız künye2026Scopus SJRQ1Assessment of microstructure and tribological performance of ZrO2-reinforced MAO coatings on 7075 aluminum alloy using grey relational analysis
Yıldıztaş, Mesut; Ayday, Aysun; Candan, Gökçe; Duru, Erhan; Doğan, Fatih
In this study, micro-arc oxidation (MAO) coatings containing different concentrations of ZrO2 were fabricated on 7075 Al alloy in a silicate-based electrolyte to evaluate their microstructural evolution, surface characteristics, and tribological performance. The coatings were produced at 390 V for 30 min in an electrolyte containing 10 g/L Na2SiO3 with ZrO2 additions of 0, 3, 6, and 9 g/L. Surface and cross-sectional morphologies were examined by SEM/EDS, while surface topography and wear track profiles were characterized by profilometry. Tribological behavior was evaluated under dry sliding conditions using a reciprocating tribometer. The results revealed that ZrO2 incorporation markedly influenced the coating growth behavior and surface morphology. The Zr0-MAO coating exhibited a rough and porous structure with large discharge channels, whereas the addition of ZrO2 led to a more compact and homogeneous morphology with reduced porosity. Among the coated samples, Zr6-MAO exhibited the most refined microstructure and the lowest surface roughness (Ra = 4.24 µm). This sample also showed the best tribological performance, with the lowest coefficient of friction (0.27), wear volume (0.0065 mm3), and wear rate (1.63 × 10−4 mm3/N·m). To provide a comprehensive multi-criteria assessment, grey relational analysis (GRA) was employed by simultaneously considering coating thickness, surface roughness, friction coefficient, wear volume, and wear rate. The GRA results were consistent with the experimental findings and identified Zr6-MAO as the optimum coating condition. These findings demonstrate that a moderate ZrO2 addition is highly effective in improving the compactness and wear resistance of MAO-coated 7075 Al alloy.