Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleYalnız künye2026Scopus SJRQ2
    Exploring Nuclear Radiation Shielding Capabilities of High-Entropy Carbides: A Study on Composition and Effectiveness

    Yilmaz Alan, Hatice; Guler, Omer; Yilmaz, Ayberk; Susam, Lidya Amon; Kavaz, Esra; Kilic, Gokhan; Ilik, Erkan; Oktik, Sener; Akkus, Baki; ALMisned, Ghada

    High-entropy carbides (HECs) are emerging as promising materials for shielding against gamma-ray and neutron radiation due to their unique structural and compositional properties. This study systematically evaluates the shielding capabilities of 12 carbide-reinforced high-entropy alloys (HEAs) composed of elements such as hafnium, niobium, titanium, zirconium, tungsten, tantalum, vanadium, and molybdenum. Various gamma-ray and neutron shielding parameters, including attenuation coefficients, shielding thicknesses, and neutron removal cross sections, were calculated using the Phy-X/PSD software. The findings reveal a strong correlation between material density and shielding efficiency, with the highest density samples, particularly (Zr0.2Hf0.2Ta0.2Mo0.2W0.2)C and (Ti0.2Hf0.2Nb0.2Ta0.2W0.2)C, demonstrating superior gamma-ray attenuation. Additionally, neutron shielding performance was maximized in compositions containing high concentrations of heavy elements, with (Ti0.2V0.2Nb0.2Ta0.2W0.2)C exhibiting the most effective neutron absorption properties. The interactions of photons and charged particles with these materials were further examined through mass stopping power and projected range calculations for alpha particles, protons, and electrons. It can be concluded that HEC-based alloys, due to their high density, optimized composition, and superior radiation attenuation properties, could be strong candidates for advanced shielding applications in nuclear and aerospace environments.

    AtıfScopus2OpenAlex2
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  • MakaleAçık Erişim2026Scopus SJRQ2
    Green Chemistry Meets Advanced Materials: Synthesis and Adsorption Performance of Ti3CNTx MXenes for Basic Red 46 Dye Removal

    Aydın, Ekrem; Çelik, Aytekin; Köse, Yusuf; Hasar, Halil

    In this study, Ti₃CNTₓ MXene nanosheets were synthesized from Ti₃AlCNTₓ MAX phase via two selective Al-etching routes: (i) direct hydrofluoric acid (HF) treatment and (ii) in-situ HF generation using a LiF + HCl mixture. Both approaches were systematically compared to evaluate their effects on structural integrity, surface chemistry, and adsorption performance toward the cationic dye Basic Red 46 (BR 46). Comprehensive physicochemical characterizations—including SEM–EDX, XRD, XPS, Raman spectroscopy, AFM, contact angle analysis, and TGA—confirmed successful Al removal and MXene formation for both methods, with notable differences in surface terminations and layer morphology. Batch adsorption experiments were conducted across a wide range of pH values (2–11), temperatures (25–60 °C), contact times (0–90 min), adsorbent dosages (0.05–0.40 g), and initial dye concentrations (10–50 mg/L). The HF-etched Ti₃CNTₓ exhibited rapid adsorption, achieving 99.6% removal at pH 2 within 20 min, whereas the LiF + HCl-etched sample demonstrated superior performance at moderate-to-alkaline pH and maintained high efficiency at lower dosages. Langmuir isotherm fitting revealed maximum adsorption capacities of 19.24 mg/g (HF route) and 28.01 mg/g (LiF + HCl route), supporting monolayer adsorption on homogeneous sites. Temperature-dependent studies further indicated an endothermic and spontaneous adsorption mechanism. Overall, the LiF + HCl route offers a greener and safer alternative to conventional HF etching while delivering competitive adsorption performance, improved structural stability, and faster equilibrium. These findings highlight the potential of sustainably synthesized Ti₃CNTₓ MXenes as high-performance adsorbents for dye-laden industrial wastewater treatment.

    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus2WoS2OpenAlex1
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  • MakaleAçık Erişim2026Scopus SJRQ1
    “A combined experimental numerical statistical framework to characterize fracture behavior of asphalt mixtures”

    Atar, Muhammed; Ince, Ragip; Bakhshizadeh, Majid; Pirmohammad, Sadjad; Furtana Yalcin, Beyza; Yilmaz, Mehmet

    This study investigates the fracture and viscoelastic behavior of asphalt mixtures through a combined experimental, numerical, and statistical approach. Semi Circular Bend (SCB) tests were performed on specimens with notch lengths of 10, 20, and 30 mm at two temperature levels (0 °C and room temperature) to determine fracture toughness (KIc), fracture energy, and stiffness parameters. The Extended Finite Element Method (XFEM) was employed to simulate crack initiation and propagation, providing a close match with experimental SCB results under various thermal and geometric conditions. To further interpret the effects of temperature and crack geometry, the Response Surface Methodology (RSM) was applied to the experimental data, enabling the identification of key interaction effects and optimization of fracture parameters. The results demonstrated that decreasing temperature and increasing notch length notably reduced fracture resistance, while XFEM accurately represented the nonlinear crack propagation observed in laboratory testing. Moreover, RSM provided predictive equations that were in strong agreement with XFEM outcomes. The proposed integrated SCB-XFEM-RSM framework presents an efficient and reliable methodology for evaluating and optimizing the fracture performance of asphalt mixtures, offering valuable insights for the design of durable and sustainable pavement systems under diverse environmental conditions.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfScopus3OpenAlex3
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  • Kitap BölümüYalnız künye2026
    THE “OTHER” KARAGÖZ: The Kurdish Qeregoz

    Çelik, Duygu

    The traditional Ottoman shadow play Karagöz and Hacivat was broadcast in Kurdish on a Turkish state channel broadcasting in 2012. In this chapter, the author poses the question: are these Kurdish scenarios mere translations of the Turkish form, or did Qeregoz develop into a localized form of its own? Ultimately, the author contends that these plays in Kurdish represent a new staging style of the iconic form, and furthermore, the generous depiction of Kurdish life in Qeregoz on television had the effect of troubling a monolithic sense of “Turkishness.”

  • MakaleYalnız künye2026Scopus SJRQ3
    Sensitive Electrochemical Analysis of Gentamicin Sulfate in Eye Solution

    Ekşi, Osman; İpek, Yeliz; Koçak, Berna

    In this study, for the first time, chromium (III) oxide-glutardialdehyde modified boron-doped diamond electrode (Cr2O3-GA2/BDDE) was used as a sensor for the electrochemical analysis of gentamicin sulfate. The Cr2O3-GA2 suspension used in electrode modification was physically coated on the BDD electrode by a simple drop-casting method. Characterization of Cr2O3-GA2 used in the modification was made by scanning electron microscopy, energy-dispersive spectroscopy (SEM-EDS), and the electrochemical method. The behavior of gentamicin sulfate on Cr2O3-GA2/BDDE was studied by cyclic voltammetry (CV), and its electrochemical analysis was done by differential pulse voltammetry (DPV). Electrochemical analysis of gentamicin sulfate on Cr2O3-GA2/BDDE was carried out in a pH 9 Britton–Robinson (BR) buffer by the DPV method. The linear working range of gentamicin sulfate on Cr2O3-GA2/BDDE was calculated as 5.96 × 10−6−6.54 × 10−5mol L−1, and the correlation coefficient was calculated as 0.997. The limit of detection (LOD) was found to be 2.84 × 10−6. mol L−1. Additionally, Genta, a 3% eye/ear drop solution, was preferred to determine the applicability of gentamicin sulfate in a commercial formulation. As a result, it was shown that the method developed on Cr2O3-GA2/BDDE for the determination of gentamicin sulfate can be applied to commercial drugs.

  • MakaleAçık Erişim2026Scopus SJRQ1
    Forked hybrid architecture combining 1D-CNN and quantum convolutional networks for EEG signal classification

    Esmeray, Furkan; Gülten, Arif

    Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classification framework that integrates quantum-assisted and classical deep learning techniques to enhance detection accuracy and model interpretability. First, discrete wavelet transform (DWT) is applied to extract multiscale time–frequency features from raw EEG signals. Subsequently, three comparative models are developed: a conventional 1D-CNN model, an IQCNN model incorporating a parametric quantum circuit, and a novel Forked Enhanced Model that processes EEG features simultaneously through both 1D-CNN and IQCNN branches and combines them in a fully connected layer. The proposed hybrid model leverages the expressive power of quantum entanglement while preserving the robustness of classical deep learning. Evaluations using 5-fold stratified cross-validation on a real EEG dataset show that the forked architecture outperforms both classical CNNs and quantum-only based models in terms of accuracy, F1 score, precision, recall, number of incorrectly classified subjects and AUC. In this study, the best result was obtained with the Denoise IQCNNNet hybrid model. The accuracy of this model is 97.25%, precision 92.74%, recall 93.66%, F-1 score 93.15%, AUC 99.54%, number of incorrectly classified subjects are 57. This study demonstrates the feasibility and potential of hybrid quantum-classical networks in biomedical signal processing and provides a foundation for real-time clinical seizure monitoring systems.

  • EditoryalAçık Erişim2026Scopus SJRQ1
    Recirculating Foundational Problems: Four Decades of Educational Computing in the JECR Archive (1987–2024)

    Aslan, Alper; Akti Aslan, Seda; Turgut, Yiğit Emrah; Allison, Jordan; Özyurt, Özcan

    This editorial presents a structured synthesis of the thematic development of the Journal of Educational Computing Research (JECR) from 1987 to 2024, drawing on a computational analysis of 1,597 articles. Applying Latent Dirichlet Allocation (LDA), the analysis identifies thirteen thematic structures that reveal both the enduring commitments and the emerging orientations of the journal across nearly four decades. Themes such as problem-solving through programming and self-efficacy in programming education have constituted persistent research agendas since the journal’s earliest volumes, while computational thinking and game-based learning have gained substantial momentum since 2015. These patterns suggest that JECR’s intellectual identity is best understood not as a sequence of discrete topical shifts, but as a sustained process in which a bounded set of foundational problems is repeatedly re-articulated under changing technological and epistemic conditions. The editorial situates this trajectory in relation to contemporary developments in artificial intelligence and educational technology, arguing that the journal’s historical archive offers an indispensable conceptual framework for interpreting present-day transformations.

    • SDG 4 · Nitelikli Eğitim
    AtıfScopus1OpenAlex1
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  • MakaleAçık Erişim2026Scopus SJRQ4
    Impact of Basalt Powder on the Physical, Fresh, Hardened and Microstructural Characteristics of Granulated Blast Furnace Slag-Based Alkali-Activated Mortars

    Yön, Merve Şahin; Cemalgil, Selim

    In this study, the workability, mechanical and physical aspects of alkali-activated mortar (AAM) containing basalt powder (BP) and granulated blast furnace slag (GBFS) were investigated. For the experimental study, alkali-activated mortars (AAM) containing BP at 8%, 16%, 24%, 32% and 40% substitution rates for GBFS were developed. Mortars were synthesized with a sodium silicate/sodium hydroxide ratio of 3.0 for the binder materials and a 0.45 alkali activator-to-binder ratio. The flow diameters of the fresh mortars prepared using 40x40x160 mm molds were determined according to the European Federation of Experts in Construction Chemicals and Concrete Systems (EFNARC) standard. The fresh AAMs were wrapped in stretch film to prevent evaporation and then kept in an oven at 60°C for 48 hours. The cured samples were evaluated for their mechanical strengths at 3 and 28 days, freeze-thaw effects after 33 and 100 cycles, and microstructures after 100 cycles. According to the results, using 40% BP instead of GBFS caused a decrease of approximately 15.08% in 28-day compressive strength compared to the reference sample (100% GBFS). G100 showed a minimum porosity of 15.81% and a water absorption rate of approximately 7.3%. The G60B40 mixture had the highest sorptivity capacity with 5.29x10-3 cm/s0.5, while the G100 mixture showed the lowest capacity with 3.88x10-3 cm/s0.5. After 100 freeze-thaw cycles, the G60B40 sample had the largest strength loss of 61.61%, while the G100 sample showed the lowest strength loss of 9.89%.

    AtıfScopus1
    ScopusTR Dizinİncele
  • MakaleYalnız künye2026Scopus SJRQ2
    Manufacturing, Structural Characterization, and Radiation Interaction Evaluation of Lightweight 6061-Al/Ytterbium(III) Oxide Composites with Emphasis on Gamma-Ray Shielding and Fast Neutron Removal Potential

    Guler, Seval Hale; Yayla, Nihal; Guler, Omer; ALMisned, Ghada; Sen Baykal, Duygu; Kilic, Gokhan; Tekin, Huseyin Ozan

    In this study, 6061-aluminum metal matrix composites doped with varying concentrations of ytterbium(III) oxide were synthesized using high-energy mechanical alloying to evaluate their structural, physical, and radiation shielding properties. X-ray diffraction confirmed the retention of the aluminum crystal structure with no secondary phase formation, while scanning electron microscopy and energy-dispersive X-ray spectroscopy revealed homogenous dispersion of Yb2O3 particles within the matrix. With increasing Yb2O3 content, particle densification and structural integrity were significantly enhanced. Gamma-ray and neutron shielding performance was assessed through theoretical modeling and Monte Carlo simulations. At low photon energy, the 20 wt% Yb2O3 composites showed a remarkable increase in linear attenuation coefficients compared to the undoped 6061-aluminum matrix. Neutron removal efficiency also increased by 32% at the highest Yb2O3 content. It can be concluded that Yb2O3 incorporation significantly improves both the photon and neutron shielding performance of the 6061-aluminum metal matrix.

  • MakaleAçık Erişim2026Scopus SJRQ2
    Protective Effect of Propolis Against Oxidative Damage Caused by Cyfluthrin Insecticide on Gammarus pulex

    Serdar, Osman

    This study aimed to investigate both the protective and therapeutic effects of propolis (PP) against pesticide-induced oxidative stress in aquatic environments. For this purpose, Gammarus pulex was exposed to 0.00 (control), 0.05, 0.1, and 0.2 ppm concentrations of cyfluthrin (CYF) to determine its toxic effects. To evaluate the protective effect of PP, 5 ppm of PP was added to each pesticide concentration. Samples were collected from all experimental groups after 24 and 96 hours under appropriate conditions. SOD activity decreased under CYF exposure but increased significantly after PP supplementation. Although CAT activity did not show significant changes with CYF alone, it increased in the presence of PP. GPx activity remained statistically unchanged under CYF exposure but increased following PP treatment. CYF exposure led to decreased GSH levels; however, PP did not significantly alter GSH levels. TBARS levels increased due to CYF, and this increase was alleviated by PP application.

  • MakaleYalnız künye2026Scopus SJRQ3
    Sequence Analysis and Genetic Diversity of ndhF of the Chloroplast DNA (cpDNA) of Chrysophthalmum (Asteraceae) Species in Türkiye

    Sevindik, Emre; Gelir, Seda Nur; Demircan, Şelale; Çiftçi, İbrahim; Paksoy, Mehmet Yavuz

    Absract: In this study, chloroplast DNA (cpDNA) ndhF sequence analysis was used to determine the sequence analysis and genetic diversity of Chrysophthalmum Schultz Bip. species distributed in Türkiye. Genomic DNA was isolated from green leaves and cpDNA ndhF region was amplified by PCR. The results of the PCR, the forward and reverse sequences were edited using the Sequencher 5.4.6 programme and the contig sequences were obtained. To determine the phylogenetic relationships between species, MEGA 6.0 was used to construct a maximum likelihood (ML) tree. Using the same program, nucleotide composition, phylogenetic trees, genetic distance matrix, and genetic diversity analyses were performed. In addition, the physicochemical properties and 3D structure of ndhF proteins were determined. From the results of the ndhF analyses, the nucleotide length of Chrysophthalmum species was found to vary between 471 and 625. The genetic matrix value was determined to be between 0.000 and 0.009. In the phylogenetic tree constructed using ndhF sequences from Anvillea DC., Pulicaria Gaertn., Limbarda Adans, Inula L., Carpesium L., Pentanema Cass., Dittrichia Greuter, Rhanteriopsis Rauschert and Telekia Baumg species from NCBI, C. montanum was grouped with Inula, Pentanema and Rhanteriopsis species. C. gueneri was grouped with C. dichotomum and Pentanema alanyense. Previous phylogenetic studies were in agreement with our results. In addition, the ndhF results supported that Chrysophthalmum species are not a monophyletic group.

    AtıfWoS1
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  • MakaleAçık Erişim2026Scopus SJRQ1
    Assessing interrelationships among circular economy implementation strategies

    Ahmadi, Hadi Badri; Gul, Muhammet; Gupta, Himanshu; Yucesan, Melih; Liou, James J.H.

    Strategies for implementing a circular economy (CE) are designed to enhance resource efficiency, minimize the consumption of raw materials, and decrease waste. Although many articles have investigated CE implementation strategies, research focusing on the interactions and interrelationships among these strategies remains scarce. To address this issue, this study develops an evaluation framework, with the aim of assessing the interactions among strategies for CE implementation in the context of the manufacturing sector of an emerging economy using Decomposed Fuzzy Decision-Making Trial and Evaluation Laboratory (DF-DEMATEL) methodology. The findings suggest that “Investment in green technology” is the most critical strategy and should receive the greatest attention for successfully implementing CE. This research helps industrial decision-makers and specialists to invest in the most critical strategies within their supply chains and move towards sustainable development.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 12 · Sorumlu Üretim ve Tüketim
  • MakaleAçık Erişim2026Scopus SJRQ1
    A new key generator algorithm based on sine map and SHA-3 for image encryption

    Artuğer, Fırat; Özkaynak, Fatih

    In recent years, the need for secure cryptographic keys for various purposes has been constantly increasing. One of these areas is undoubtedly image encryption. In this study, a new key generation algorithm has been developed for use in image encryption algorithms. The proposed generator has a hybrid structure based on the chaotic sine map and the SHA-3 algorithm. It is aimed to produce strong keys by using the benefits of these two structures. To do this, first, bit sequences of the desired length are generated using the basic parameters of the sine map. Then, bit sequences of the same length are obtained using the SHA-3 algorithm. These two bit sequences are then subjected to an XOR operation to generate key values ​​of the desired length. With this structure, 3 different bit sequences of 1 million length were produced. All of these bit sequences successfully passed NIST SP 800 − 22 tests. This key value obtained in this study has been successfully applied to a new image encryption algorithm. The results of the study demonstrate that the proposed algorithm meets important cryptographic criteria such as information entropy, correlation-histogram analysis, NPCR, and UACI values. In addition, the simple and fast structure of the algorithm in key generation was the most important difference from other studies.

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  • MakaleAçık Erişim2026Scopus SJRQ2
    Oxidative 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.

  • MakaleYayıncıda açık erişim2026Scopus SJRQ1
    Phenolic Profiling of Some Bryophyte Species: In Vitro and In Silico Assessment of Their Antimicrobial Potentials

    Çambay, Zafer; Uslu, Harun; Coteli, Ebru; Göktaş, Bünyamin; Özdemir Bayçinar, Kevser; Emre, Mustafa Yunus; Güngören, Muhammed; Alataş, Mevlüt

    This study explores the phytochemical composition and antimicrobial potential of Palustriella commutata, Philonotis calcarea, Cinclidotus riparius, Rhynchostegium riparioides, Plagiomnium ellipticum, and Porella platyphylla, with a focus on bryophyte species phenolic constituents and biological activities. HPLC analysis identified seven phenolic acids (4-hydroxybenzoic acid, 2,5-dihydroxybenzoic acid, 3,4-dihydroxybenzoic acid, caffeic acid, vanillic acid, syringic acid, and p-coumaric acid) across all species in varying concentrations. In in vitro antimicrobial tests, the bryophyte extracts used showed significant activity against Pseudomonas aeruginosa (ATCC 9027), while exhibiting relatively lower inhibition against Staphylococcus aureus (ATCC 25923). The study showed that all species extracts exhibited comparable activity to erythromycin against P. aeruginosa, while Cinclidotus riparius and Plagiomnium ellipticum extracts showed no activity against S. aureus, and the remaining species exhibited lower activity compared to erythromycin. Molecular docking studies demonstrated strong binding affinities of these phenolics to the active site of the target macromolecule (PDB ID: 3FRQ), suggesting meaningful interactions with residues such as ARG122 and ASN123, similar to erythromycin binding patterns. The findings indicate that bryophyte-derived phenolic compounds possess significant antimicrobial potential and may serve as promising candidates for the development of novel bioactive agents. This study provides a broad framework for the insufficiently researched antimicrobial potential of bryophytes by establishing direct links between species-specific phenolic fingerprints, experimentally observed antibacterial activities, and predicted receptor-level interactions. Further complementary biological studies are needed to confirm and expand upon these results.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
  • MakaleYalnız künye2026Scopus SJRQ2
    Influence of Boron Addition on the Microstructure, Mechanical, and Corrosion Behavior of NiCrBSi Alloys Prepared by Spark Plasma Sintering

    Çelik, Ertuğrul

    This study investigates the effect of boron addition on the microstructural, mechanical, and corrosion properties of NiCrBSi alloy fabricated by the spark plasma sintering (SPS) method. Boron was added at levels of 1.5, 3, and 4.5 wt.%, and sintering was conducted at 950 °C for 5 min. Microstructural characterization was carried out using SEM–EDS and XRD analyses, hardness was measured by the Vickers method, and densities were determined according to Archimedes’ principle. The transverse rupture strength (TRS) was obtained by three-point bending tests, while wear performance was evaluated in a reciprocating wear mode. Corrosion behavior was examined through potentiodynamic polarization in a 0.1 M HCl solution. Increasing boron content promoted the formation of nickel and chromium boride phases, enhancing hardness (up to 675 HV0.5) and wear resistance but reducing TRS values due to brittle intermetallic formation. Furthermore, corrosion protection efficiency improved, reaching about 65.9% at 4.5 wt.% B addition.

  • MakaleAçık Erişim2026Scopus SJRQ4
    Prevalence 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.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
  • MakaleYalnız künye2026Scopus SJRQ1
    Regionalized 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
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  • MakaleYalnız künye2026Scopus SJRQ2
    Structural 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.

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  • MakaleAçık Erişim2026Scopus SJRQ1
    Optimization 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

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