Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(82)
- Akkurt, Nevzat(67)
- Güler, Ömer(66)
- Baskonus, Haci Mehmet(62)
- Bulut, Hasan(60)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Yucesan, Melih(43)
- Yildirim, Numan(42)
- Yildirim, Nuran Cikcikoglu(38)
- Paksoy, Mehmet Yavuz(36)
- Serdar, Osman(36)
- Zengin, Gokhan(36)
- Ince, Muharrem(34)
- Celik, Erkan(33)
- Benzer, Fulya(32)
- Kocabaş, Mehmet(30)
- Sulaiman, Tukur Abdulkadir(30)
- Tanyol, Mehtap(29)
- Yildirim, Ozal(28)
- Aslan, Naim(26)
- Kök, Mediha(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Danabas, Durali(25)
- Kutluyer, Filiz(25)
- Can, Erkan(24)
- Kutlu, Banu(23)
- Onat, Onur(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Güler, Seval Hale(21)
- Yaman, Mehmet(21)
- Baykal, Duygu Sen(20)
- Sançar, Taylan(20)
- Susam, Selim Orhun(20)
- Cakilcioglu, Ugur(19)
- Orhan, Cemal(19)
Yayınlar
- DüzeltmeAçık Erişim2026Scopus SJRQ1Correction: 2D MHD Mixed Convection in a Zigzag Trapezoidal Thermal Energy Storage System Using NEPCM (Nanomaterials, (2022), 12, 19, (3270), 10.3390/nano12193270)
Abderrahmane, Aissa; Younis, Obai; Al-Khaleel, Mohammad; Laidoudi, Houssem; Akkurt, Nevzat; Guedri, Kamel; Marzouki, Riadh
There were errors in the original publication [1]. In Abstract and Introduction, any reference to “heat transfer (HT) irreversibility,” “fluid friction (FF) irreversibility,” or “Bejan number” is erroneous and should be removed. Any reference to “wave number” should be corrected to “zigzag number,” which is the relevant parameter in the study. The corrected Abstract and the corrected sentence in the last paragraph of the Introduction appear below, respectively. In a magnetic field, two-dimensional (2D) mixed convection is investigated within a zigzagged trapezoidal chamber. The lower side of the trapezoidal chamber is irregular, in particular, a zigzagged wall with different zigzag numbers N. The fluid particles move in the room due to the motion of the upper wall, while the porosity-enthalpy approach represents the melting process. The thermal parameters of the fluid are enhanced by what is called a nano-encapsulated phase change material (NEPCM) consisting of polyurethane as the shell and a nonadecane as the core, while water is used as the base fluid. In order to treat the governing equations, the well-known Galerkin finite element method (GFEM) is applied. In addition, the heat transfer (HT) and the dynamic behavior of flow are treated in terms of average Nusselt number and contours of streamlines. The main results show that the melt band curve of heat capacity behaves almost parabolically at smaller values of Reynolds number (Re) and larger values of Hartmann number (Ha). Moreover, minimizing the zigzag number is better in order to obtain a higher heat transfer rate. In addition, a comparative study of the heat transfer and the dynamic behavior of flow in terms of average Nusselt number and contours of streamlines has been presented. In Section 2.1. Mathematical Modeling and Equations, Paragraph 3 and Paragraph 4, the term of porosity must be added to the momentum equations. The Equations (2), (3), (8) and (9) should be updated to the following: (Formula presented.) (Formula presented.) (Formula presented.) (Formula presented.) In Section 2.1. Mathematical Modeling and Equations, Paragraph 4, Paragraph 5 and Paragraph 9, there is no cylinder inside the cavity, and any reference to a “cylinder” or “diameter D” is incorrect and should be disregarded. The pressure in Equation (6), the Reynolds Number in Equation (11) and the definition for the average Nusselt number at the zigzag wall in Equation (16) should be updated to the following: (Formula presented.) (Formula presented.) (Formula presented.) The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
- MakaleYalnız künye2026Scopus SJRQ1Electrochemically assisted leaching of rare earth carbonates in non-aqueous green solvents: Solvent design, characterization, and process optimization
Cihangir, Salih
This study presents a systematic approach to the design, characterization, and application of non-aqueous green solvents (NAGSs) for the leaching of rare earth carbonate hydrates (RECHs). Four NAGSs based on choline chloride, ethylene glycol, and various carboxylic acids were synthesized and evaluated for their physicochemical and electrochemical properties. Among the evaluated formulations, the choline chloride–ethylene glycol–Na₂EDTA·2H₂O mixture (N1) and the chloride–levulinic acid mixture (N2) were found were found suitable for both traditional and electrochemically assisted leaching due to their optimal viscosity, conductivity, and electrochemical stability. Electrochemical assistance significantly enhanced leaching efficiency, with improvements ranging from 22 % to over 300 % for certain elements compared to conventional methods. Mechanistic investigations revealed that the application of an oxidative potential facilitates the protonation and dissolution of RECHs, likely through the generation of localized acidic environments and the formation of intermediate species. The FTIR analysis confirmed the dissolution of carbonate phases and the formation of rare earth–ligand complexes, particularly in the N1 system, where new bands associated with carboxylate and amine coordination were observed. Importantly, the proposed electrochemically assisted method can be applied to different primary or secondary sources in both aqueous and non-aqueous solutions. The results demonstrate the advantages of combining non-aqueous green solvents with electrochemical assistance as an environmentally benign alternative to conventional acid-based leaching, especially for challenging carbonate forms of rare earth elements. This work provides important guidelines for the development of sustainable hydrometallurgical processes, with future directions including solvent recyclability, selective recovery, and environmental assessment.
AtıfScopus2WoS2
İncele - MakaleAçık Erişim2026Scopus SJRQ2Using Decision Tree and K-Means to Improve ANFIS for Predicting Missing Flow Data in Çoruh Basin
Acar, Ramazan
Complete and continuous flow data provides contributions to the water resources projects appropriate design. However, both financial and technical factors prevent the regular collection of data and such a situation leads to missing data problems. Input variables are from five stations in the Çoruh Basin in the northeast province of Türkiye, and output variables are from one station. In the study, 75% (171 months of data) of the 228 months flow data between the years 1993–2011 are used in the training phase and 25% (57 months of data) in the testing phase. In the ANFIS models, Decision Tree (DT) and K-means (KM) methods are used in selecting the input variables and determining the number of membership functions. In addition, artificial neural network (ANN), multiple linear regression (MLR), and ANFIS models with randomly determined cluster numbers are also used to compare the model performance of these methods. The results show that using DT and KM methods, the ANFIS models generate more reliable results than other models. During the study, the regression coefficient (R2), weighted mean square error (WMSE), and Wilcoxon (Z) values are taken into account for reliability measure. The DT–K-means–ANFIS model achieved the highest accuracy with R2 = 0.98 and WMSE = 5.89 during the testing phase, demonstrating superior performance to the ANN and MLR models. It is shown that the most successful models can be determined in a shorter time by using DT and KM methods before generating ANFIS models.
AtıfScopus1WoS1OpenAlex1İncele - Derleme MakaleAçık Erişim2026Scopus SJRQ1Nutraceuticals in Uro-Oncology: A Structured Expert Review and Precision-Oriented Framework
Erten, Fusun; Kalemoglu, Ecem; Kucuk, Omer; Sahin, Kazim
Urologic malignancies (UMs), including prostate cancer (PCa), bladder cancer (BCa), renal cell carcinoma (RCC), and testicular germ cell tumors (TGCT), are governed by interconnected molecular pathways that regulate proliferation, angiogenesis, metabolism, invasion, immune escape, and treatment resistance. Key pathways include PI3K/AKT/mTOR, VEGF/VEGFR, EGFR, FGFR, c-MET, androgen receptor signaling, DNA damage response, inflammatory transcriptional programs, and regulation of the tumor microenvironment. This structured expert review evaluates mechanistic, translational, epidemiological, and clinical evidence on food- and botanical-derived nutraceuticals that may influence cancer-related signaling, redox balance, inflammation, metabolic adaptation, and host–tumor interactions. Nutraceuticals are considered investigational adjunctive exposures rather than anticancer treatments or alternatives to standard care. Relevant literature was identified through a structured, non-systematic search of PubMed/MEDLINE, Scopus, Web of Science Core Collection, and Embase from database inception to 17 June 2026, supplemented by backward and forward citation searches. Eligible evidence comprised preclinical, observational, interventional, pharmacokinetic, formulation, safety, and drug–nutraceutical interaction studies. Evidence was evaluated by cancer type, compound class, molecular context, formulation, exposure, translational maturity, and safety, and was classified into five stages: prevention signal, mechanistic plausibility, bioavailability and exposure feasibility, exposure-linked biomarker activity, and clinical benefit. An exposure–species–compartment framework was used to assess whether parent compounds and relevant metabolites reached systemic, urinary, or target-tissue concentrations compatible with the proposed effects. Findings based solely on supraphysiological concentrations of unconjugated parent compounds were considered hypothesis-generating unless supported by human exposure or tissue-distribution data. Curcumin, green tea catechins, isoflavones, carotenoids, flavonols, stilbenes, and triterpenoids affect several cancer-related pathways, primarily in experimental models. Translation to clinical practice is constrained by inconsistent formulations, limited bioavailability, inadequate target-tissue exposure data, few biomarker-linked studies, and possible interactions with anticancer therapies. PCa and BCa provide the most suitable settings for exposure-verified mechanistic studies. In RCC, safety and treatment interactions should be prioritized, whereas in TGCTs, non-interference with curative cisplatin-based therapy must be demonstrated. Future studies should use chemically defined formulations, verify clinically relevant exposure, incorporate mechanism-matched biological-response endpoints, and confirm compatibility with established treatment. Current evidence does not support nutraceuticals as treatments for urologic malignancies.
- MakaleYalnız künye2026Scopus SJRQ1Sleep quality in children with epilepsy and their mothers: A cross-sectional study
Veziroğlu, H.; Kemer, D.
Background The aim of this study is to evaluate the sleep quality of children with epilepsy and their mothers, and to identify the factors affecting sleep quality. Methods The sample comprised 103 mothers of children with epilepsy aged 318 years. Data were collected during face-to-face interviews using the Children's Sleep Habits Questionnaire (CSHQ) and the Pittsburgh Sleep Quality Index (PSQI). The data were analyzed using one-way analysis of variance (ANOVA), the Mann-Whitney U test, and correlation analysis. Results According to PSQI, 76.7% of mothers were found to have poor sleep quality. The mean total CSHQ score was 49.99 ± 7.60, indicating clinically significant sleep problems among the children. Mothers' PSQI total scores were significantly associated with income status, number of children, duration of epilepsy, and time spent in digital environments (p < 0.05). Children's CSHQ total scores were significantly associated with age at first seizure, seizure frequency, occurrence of seizures during the last three months, presence of nocturnal seizures, number of antiepileptic drugs used, and ownership of a phone/computer (p < 0.05). Conclusion It was found that children with epilepsy experienced sleep problems related to bedtime resistance and daytime sleepiness, and that their mothers had poor sleep quality. Therefore, the development of supportive intervention programs is recommended to prevent and manage sleep problems in children with epilepsy and their mothers. Implications to practice Multidisciplinary collaboration and nurse-led interventions should be implemented to promote sleep health and improve the quality of life of children with epilepsy and their families.
- MakaleAçık Erişim2026Scopus SJRQ2A Deep Learning Framework for Local Earthquake Magnitude Estimation Using Three-Component Waveforms
Çelik, Yusuf
This study presents a two-stage deep learning framework for accurate and generalizable estimation of local earthquake magnitudes from three-component seismic waveforms, within the context of ground-based remote sensing systems. In the first stage, phase transition boundaries are identified at the sample level to enable consistent temporal alignment of the signals. In the second stage, earthquake magnitude estimation is performed using 30 s waveform segments aligned with the early portion of the signal and enriched with spectral and statistical features. The model was initially trained on the globally diverse dataset STEAD and later fine-tuned using a subset of KOERI waveforms, and its performance was evaluated on an independent KOERI test set. The results demonstrate high prediction accuracy, with a mean absolute error of approximately 0.09 and a coefficient of determination (R2) of about 0.95, indicating strong agreement between predicted and true magnitudes. The model maintains stable performance across varying signal characteristics and geographic regions, highlighting its strong transferability. These findings suggest that seismic sensor networks can be effectively utilized as remote sensing systems for rapid and reliable earthquake characterization.
- MakaleYalnız künye2026Scopus SJRQ1Hydrogeochemical controls on chromium speciation and potential human health risks in surface waters of an ultramafic mining watershed
Kutlu, Banu; Baydar, Tarık; Yıldırım, Vesile; Konurhan, Zekeriya
Accurate assessment of chromium contamination in mining-influenced watersheds requires distinguishing between the environmentally contrasting Cr(III) and Cr(VI) species, yet environmental monitoring and risk assessments still rely predominantly on total chromium concentrations. This study evaluated whether chromium speciation provides additional information beyond operational total chromium for assessing chromium occurrence and potential human health risks in an ultramafic, mining-influenced watershed. Surface-water samples were collected from 28 sampling stations across the Pülümür and Ovacık regions of the Eastern Anatolia Basin (Türkiye) between March 2025 and February 2026. Chromium speciation was determined using species-specific UV–Visible spectrophotometric methods and integrated with hydrochemical characterization, multivariate statistical analyses, mineralogical investigations (XRD, SEM–EDS, and FTIR), and deterministic and empirical-bootstrap human health risk assessments. Operational total chromium, defined as the sum of separately measured Cr(III) and Cr(VI), ranged from below the detection limit to 578.13 µg L−1. For contextual screening, this calculated value exceeded World Health Organization (WHO) drinking-water guideline for total chromium at 14 stations; however, it was not an independently measured total-Cr concentration. The highest Cr(VI) concentration occurred at a localized hotspot, whereas Cr(III) predominated throughout most of the watershed. Nevertheless, Cr(VI)-based screening thresholds were exceeded at multiple stations under the assumed untreated drinking-water ingestion scenario, indicating that operational total chromium alone did not consistently identify the spatial distribution of Cr(VI)-related potential risk. Screening-level hazard quotient (HQ) estimates were higher for children than for adults; however, direct untreated consumption of the sampled surface waters was not verified. Mining-influenced stations generally exhibited higher chromium concentrations, although the relative contributions of geogenic weathering and mining-related mobilization could not be quantitatively apportioned. Overall, chromium speciation provided additional environmentally and toxicologically relevant information beyond operational total chromium for evaluating chromium mobility and screening-level potential human health risks in this ultramafic watershed.
- MakaleAçık Erişim2026Scopus SJRQ1Comparative assessment of individual rare-earth oxides and high-entropy rare-earth oxides reinforcements on the structural, physical, and radiation transmission properties of Inconel 718
Gül, Ali Oktay; Gökhan Albayrak, M.; Güler, Ömer; Özkul, İskender; Baykal, Duygu Sen; Almisned, Ghada; Tekin, H.O.
This study addresses a fundamental materials design question for radiation-resistant superalloys: whether rare-earth (RE) oxides are more effective when incorporated individually or when introduced collectively in a high-entropy rare-earth oxide (HE-RE2O3) form. In this context, Inconel 718 (IN718) composites were reinforced with single RE2O3 phases such as Sm2O3, Tm2O3, Er2O3, Yb2O3, Eu2O3, and La2O3 at 10 wt% and with a mechanically alloyed HE-RE2O3 phase at 1-20 wt%. Structural analyses confirmed the formation of a single-phase HE-RE2O3 with a cubic bixbyite structure and its stable integration into the IN718 matrix. Gamma-ray shielding properties were systematically evaluated over a wide photon energy range. The HE-RE2O3 reinforced samples, particularly at higher loadings, exhibited consistently higher mass and linear attenuation coefficients, elevated effective atomic numbers, reduced half-value layers, and lower buildup factors compared to both the base alloy and single-oxide reinforced counterparts, demonstrating a clear collective attenuation effect. Fast neutron removal cross sections showed more moderate variations, reflecting the dominance of neutron scattering and mass-dependent interaction mechanisms rather than atomic number effects. It can be concluded that incorporating RE elements through a high-entropy oxide configuration provides a more effective and collective compositional contribution for enhancing the radiation shielding performance of IN718 than adding RE oxides individually, offering a promising pathway for advanced nuclear and radiation-relevant applications.
AtıfScopus1OpenAlex1İncele - 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.
- MakaleAçık Erişim2026Scopus SJRQ1Quantifying agricultural resilience under climate variability: a data-driven climate resilience index for European cereal systems
Utku, Anil; Radulescu, Magdalena; Barut, Abdulkadir; Alofaysan, Hind
Climate variability and extreme weather events pose an increasingly serious threat to agricultural productivity in Europe. Although many studies have focused on the mean yield response to climate change, relatively few have attempted to offer a comprehensive, multi-dimensional view of agricultural resilience, separating long-term productivity trends from short-term climate-induced fluctuations. In this paper, a data-driven Climate Resilience Index is proposed to assess the resilience of European cereal systems under climate stress. Annual yield time series are decomposed into trend and anomaly components to identify interannual deviations driven by climate variability. Machine learning and deep learning algorithms, including RF, CatBoost, CNN, LSTM, TCN, and a TCN-LSTM hybrid model, are used to assess the predictive validity of climate extreme indices and persistence patterns. Among the evaluated models, the TCN-LSTM architecture achieved the highest predictive performance with 0.8347 R2, outperforming standalone temporal and ensemble-based models. The PCA-based exposure framework explained 68.4% of the total climate variability within the first principal component, indicating a highly concentrated climate-stress structure. Feature importance analyses further revealed that lagged yield anomalies and rolling volatility indicators were the dominant predictors of resilience dynamics. The findings show that temporal models perform better than traditional ensemble methods, emphasizing the significance of multi-year recovery mechanisms in anomaly evolution. To provide a consistent measure of exposure, principal component analysis is used to reduce correlated climate indicators into a multi-dimensional climate stress index. The CRI captures these three essential elements: climate exposure, yield variability, and recovery. The results at the country level show substantial variability across Europe, indicating that while exposure intensity is important, recovery dynamics are also critical to understanding resilience. The results also show that there are structurally distinct resilience profiles, and robustness tests indicate that country rankings are not sensitive to different weights and recovery functions. The results clearly show that recovery and adaptive capacity are critical to agricultural sustainability amid growing climate uncertainty. The CRI developed in this paper provides a clear, empirically valid framework for comparing resilience in agricultural systems.
AtıfScopus1OpenAlex2
İncele - MakaleAçık Erişim2026Scopus SJRQ2Designing a novel FeCoNiMnCu high-entropy Alloy: Synthesis, structural evolution, magnetic behavior, and radiation shielding performance
Güler, Ömer; Şimşek, Telem; Şimşek, Tuncay; Evin, Ertan; Baykal, Duygu Sen; ALMisned, Ghada; Tekin, H.O.
In this study, a novel FeCoNiMnCu HEA was synthesized via mechanical alloying and exhibited a single-phase face-centered cubic (FCC) structure with a crystallite size of 11.7 nm and a lattice strain of 0.81 %. Magnetic characterization revealed soft ferromagnetic behavior with a saturation magnetization of 32 emu/g at 300 K, increasing to 53 emu/g at 10 K. The alloy demonstrated excellent gamma-ray attenuation, with lower half-value layer (HVL) and mean free path (MFP) values than conventional shielding materials. Notably, its fast neutron removal cross-section (ΣR = 0.1654 cm−1) outperformed standard materials such as B4C, graphite, and water in the fast neutron energy range. These findings underline the multifunctional performance of FeCoNiMnCu HEA, highlighting its strong potential for use in advanced nuclear reactor components and radiation shielding technologies.
AtıfScopus10OpenAlex6İncele - MakaleAçık Erişim2026Scopus SJRQ1Generative Artificial Intelligence in Education: Conceptual Dimensions, Trends, and Research Directions
Akti Aslan, Seda; Ayaz, Ahmet; Ozyurt, Ozcan; Aslan, Alper
Research into generative artificial intelligence (GenAI) in the field of education has been growing rapidly in recent years. The rapid expansion of the literature has necessitated a systematic examination of the field. In this study, the thematic structure of GenAI research in the field of education during the 2023–2025 period was examined. Given the need to work with a large-scale dataset comprising 15,036 studies, a Latent Dirichlet Allocation (LDA)-based topic modelling analysis was selected. A search conducted on Scopus resulted in the inclusion of 15,036 studies in the analysis. The LDA analysis identified 12 prominent topics based on consistency scores. Descriptively, these prominent topics were grouped under four broad thematic areas. Among these axes, the technical axis holds the largest share (25%). It was observed that whilst technical topics were on the rise during the 2023–2025 period, topics such as ethics and chatbots showed a relative downward trend. The observed trends suggest that scholarly attention is increasingly directed towards technically oriented research. The findings also indicate a need for theoretical frameworks to ensure pedagogical depth. It is anticipated that the study’s findings will serve as an important reference point for future research. © The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
- MakaleAçık Erişim2026Scopus SJRQ2Thickness- and Binder-Chemistry-Dependent Structural, Mechanical, and Tribological Performance of HVOF-Sprayed WC-Co and WC-Co-Cr Coatings on High-Speed Steel
Macit, Cevher Kursat; Aksakal, Bünyamin; Ayık, Merve; Gürgenç, Turan; Aslan, Naim
High-velocity oxy-fuel (HVOF) spraying was used to deposit WC-Co and WC-Co-Cr coatings on high-speed steel in order to determine how binder chemistry and coating thickness jointly control load support, friction, and dry sliding wear resistance. Nominal 50 and 100 µm coatings were compared within the same substrate framework by XRD, FT-IR, SEM/EDX, cross-sectional image analysis, Vickers hardness testing, dry sliding wear testing, and post-wear SEM/EDX. The coatings retained WC as the dominant crystalline phase, while weak overlapping features were associated with binder-rich regions and limited decarburization products. Cross-sectional observations confirmed continuous coating build-up close to the nominal thicknesses and low apparent dark-feature/porosity fractions. All WC-based coatings increased the effective hardness and reduced mass loss relative to uncoated HSS. Among the tested conditions, WC-Co-Cr-100 provided the highest effective hardness and the lowest mass loss after 1000 m sliding, whereas WC-Co-100 produced the lowest mean coefficient of friction. The results show that low friction and high wear resistance are not governed by identical mechanisms: WC-Co favours interfacial shear reduction, while the thicker Cr-containing coating provides superior resistance to material removal through improved carbide retention, binder stability, and coating-scale load support.
- MakaleAçık Erişim2026Scopus SJRQ3Oxidative Stress Responses induced by Yttrium in Gammarus pulex at Increasing Temperatures
Aydın, Ayşe Nur; Serdar, Osman
In parallel with the increase in the need for raw materials used in industry, the area and amount of use of Rare Earth Elements are also increasing. Yttrium (Y), which is used as a raw material source, is thought to form residues in the environment. Gammarus pulex individuals were selected as a model organism to investigate the effects of Yttrium on the environment and aquatic organisms. G. pulexes were exposed to Y at different temperatures (16, 18, and 20 °C) and concentrations (25, 100, and 500 µg/L) for 96 hours and samples were taken at 24 and 96 hours for biochemical analyses. For biomarker analysis, superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) activities, thiobarbituric acid (TBARS) and glutathione (GSH) levels were performed using CAYMAN ELISA kit. Study data revealed that SOD and CAT activities increased significantly with increasing temperature and exposure concentration, while GPx activity showed an irregular response; in contrast, no significant change was observed in TBARS levels at 16 °C, while the increase in TBARS and significant changes in GSH levels at 18 and 20 °C indicate that oxidative stress becomes more pronounced at high temperatures. Copyright Aydın,, A. N. & Serdar, O.
- MakaleYayıncıda açık erişim2026Scopus SJRQ1Explainable AI-based deep learning architectures for hydrogen prediction in biomass syngas and photocatalysis processes: Towards a sustainable and efficient energy economy
Imak, Andaç
This study, focusing on sustainable energy production and particularly the hydrogen (H2) economy, presents an advanced artificial intelligence (AI) framework for accurately predicting H2 production from sucrose photocatalysis catalyzed by LaFeO3 (GLFO) and the H2 concentration in syngas derived from biomass conversion. The research was conducted along two main directions: (i) deep learning (DL) architectures comprising nine specially designed recurrent neural network-based models and (ii) six conventional machine learning (ML) algorithms. For both H2 production systems, the best-performing models were identified and further interpreted using explainable AI (XAI) based on SHapley Additive exPlanations (SHAP). Among all investigated algorithms, a hybrid One-dimensional Convolutional Neural Network–Bidirectional Long Short-Term Memory–Bidirectional Gated Recurrent Unit (1D-CNN–BiLSTM–BiGRU) model demonstrated the highest predictive performance. Using 10-fold cross-validation, the proposed model achieved outstanding accuracy, with an R2 value of 0.9987 ± 0.0011 for photocatalytic H2 production prediction and 0.9980 ± 0.0006 for syngas H2 concentration prediction. These results highlight the potential of the proposed framework as a precise, reliable, and practical methodological approach for modeling and optimizing complex thermochemical energy systems.
- MakaleAçık Erişim2026Scopus SJRQ2Relative Efficiencies of Live, Dry and Mixed Food Diets for Larval Rearing of Tigris Scraper (Capoeta umbla) and the Influence of Stocking Density on Fry Growth Characteristics
Gün, Abdulselam; Kızak, Volkan; Gündüz, Fatih
In this research, larval growth features by applying different diets and growth characteristics of fry at different stocking densities were studied under controlled conditions for the Tigris scraper (Capoeta umbla). In the first experiment, the growth and survival rates of Tigris scraper postlarvae were evaluated under three different diet regimes over 21 days. The highest mean total length was 24.04±0.27 mm in the group L1 fed solely Artemia nauplii, and the lowest mean total length was 17.89±0.16 mm in the group L2 fed only dry feed. The highest mean specific growth rate was in the L1, and the lowest mean specific growth rate was in the L2. In the second experiment in which the growth characteristics of fry were investigated at different stocking densities for 98 days, the highest mean live weight was found in S1 with 2.819±0.157 g and the lowest mean live weight was determined as 0.859±0.073 g in S5. The highest mean specific growth rate was in S1, while the lowest rate was in S5. High stocking densities were found to be disadvantageous for growth of C. umbla fry. The findings suggest that successful rearing of Tigris scraper postlarvae and fry is feasible under controlled conditions.
- MakaleAçık Erişim2026Scopus SJRQ1Failure of a Code-Compliant Reinforced Concrete Building: Damage Patterns and Nonlinear Seismic Response
Onat, Onur; Karaşin, İbrahim Baran; Yön, Burak; Varolgüneş, Sadık; Öncü, Mehmet Emin; Uslu, Ali
This study investigates the seismic performance limitations of a newly constructed reinforced concrete building that collapsed during the 6 February 2023 Kahramanmaraş–Elbistan earthquake despite formal compliance with current seismic design requirements. Beyond the specific earthquake event, the study addresses a broader scientific problem: the limited understanding of the relationship between observed damage mechanisms and nonlinear dynamic response in mid-rise reinforced concrete buildings. The first part classifies recurring structural and non-structural damage patterns identified in newly constructed RC residences. The second part presents a nonlinear fiber-based static and dynamic analysis of a collapsed mid-rise building. Nonlinear dynamic analyses were conducted using ground motion records scaled to match the site-specific elastic design spectrum defined by TBDY 2018, corresponding to predefined seismic performance levels rather than an incremental dynamic analysis framework. The results indicate that an extremely low shear wall–to–floor area ratio (0.0357%) combined with asymmetric vertical element distribution significantly amplified torsional response and local shear demands. Nonlinear dynamic analyses showed that critical shear walls exceeded Collapse Prevention limits under DD2-level excitation, while system-level shear contribution limits remained within code-defined thresholds. Dynamic base shear demand corresponded to approximately 30% of the maximum nonlinear capacity obtained from pushover analysis, indicating that localized member failure rather than global strength deficiency governed the collapse mechanism. The analytically identified critical members were consistent with the observed collapse configuration, particularly at the soft ground story. The findings demonstrate that prescriptive code compliance alone may not ensure satisfactory seismic performance when structural irregularities, torsional amplification, and detailing deficiencies coexist. The results are consistent with damage patterns reported in other recent destructive earthquakes and contribute to improving the understanding of collapse mechanisms in code-compliant RC buildings.
AtıfScopus4OpenAlex7İncele - 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.
- MakaleAçık Erişim2026Scopus SJRQ1Examining the effect of authentic leadership and contextual performance on work engagement among employees working in sports organizations
İnce, Uğur; Özcan, Büşra; Siyahtaş, Anıl; Erdoğan, Ramazan
Background – This study examines the relationship between authentic leadership and employees’ contextual performance and investigates its association with work engagement. Specifically, the aim was to explore how authentic leadership practices are associated with employee motivation and job performance in the sports sector. Methods – The study employed a quantitative research method using measures of authentic leadership, work engagement, and contextual performance. Data were collected through surveys administered to participants, and various statistical analyses were conducted. A mediation analysis was conducted to examine whether work engagement mediates the relationship between authentic leadership and contextual performance. Results – The analysis showed that authentic leadership is positively associated with work engagement (β = 0.516; p < 0.001). Work engagement is also positively associated with contextual performance (β = 0.393; p < 0.001). Mediation analysis suggested that authentic leadership is indirectly associated with contextual performance through work engagement [indirect effect β = 0.205; 95% CI (0.152, 0.259); p < 0.001], while the direct association between authentic leadership and contextual performance remained significant (β = 0.311; p < 0.001). Conclusion – The study’s results indicate that authentic leadership is positively associated with contextual performance via higher employee engagement in the sports sector. The trusting environment and supportive communication provided by authentic leaders are associated with higher employee motivation and linked to better performance outcomes. The findings suggest that sports managers may benefit from cultivating authentic leadership qualities, which are likely to be associated with greater organizational effectiveness.
AtıfOpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ3Effect of mechanical activation on lithium and alkali cation release from dolomitic clay wastes of boron processing plant
Boylu, Feridun; Teker, Gülsen Obuz; Angur, Gafure Ersever; Ozdemir, Orhan; Çelik, Mehmet Sabri
With the significant increase in lithium demand and production, alternative resources such as lithium-bearing clays have increasingly attracted attention and have been considered as a potential source. In addition to conventional Li recovery methods such as acid treatment and roasting, more economical and environmentally friendly techniques such as mechanical activation followed by water leaching are also being considered. In Türkiye, wastes from boron processing plants, containing approximately 900 ppm of lithium and mainly of dolomitic clays and unrecovered boron minerals (~10-13% of waste), are considered as a potential lithium source. However, due to high dolomite and boron mineral contents, the waste material may release significant amounts of alkaline earth ions such as Na+, K+, Mg2+, Ca2+, and B2O3 during leaching, which may interfere with lithium extraction from the solution. In this study, the leaching behavior of lithium, alkali ions, and other possible elements (e.g., B2O3, Fe3+, and Al3+) from both raw clay waste and mechanically activated forms of this waste material was investigated in detail. The results showed that water leaching without sodium salt of activated waste samples achieves about 44.7–57.7% lithium recovery, yielding high lithium concentrations (80–115 ppm), low levels of alkali ions (4430 ppm Na+, 114 ppm K+, 20 ppm Ca2+, and 7 ppm Mg2+), and almost no detectable Fe3+ (<0.2 ppm) or Al3+ (0.07 ppm) ions. On the other hand, a single problem was encountered where 0.95 % of B2O3 concentrations did not decrease in water leaching at even room temperature.