Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(85)
- Serdar, Osman(72)
- Güler, Ömer(68)
- Akkurt, Nevzat(61)
- Baskonus, Haci Mehmet(54)
- Alataş, Mevlüt(53)
- Paksoy, Mehmet Yavuz(53)
- Yucesan, Melih(53)
- Bulut, Hasan(51)
- Tekin, H.O.(51)
- ALMisned, Ghada(48)
- Yildirim, Numan(48)
- Benzer, Fulya(47)
- Kocabaş, Mehmet(45)
- Yildirim, Nuran Cikcikoglu(44)
- Kutlu, Banu(41)
- Ince, Muharrem(39)
- Zengin, Gokhan(39)
- Batan, Nevzat(37)
- Utku, Anıl(35)
- Celik, Erkan(33)
- Topal, Murat(32)
- Ezer, Tülay(31)
- Tanyol, Mehtap(31)
- Can, Erkan(30)
- Sulaiman, Tukur Abdulkadir(29)
- Aslan, Naim(28)
- Özkul, İskender(28)
- Aslan, Alper(27)
- Cakilcioglu, Ugur(27)
- Erguven, Gokhan Onder(27)
- Kutluyer, Filiz(27)
- Kök, Mediha(27)
- Ates, Mehmet(26)
- Erten, Fusun(26)
- Kahraman, Gökhan(26)
- Onat, Onur(26)
- Dal, Nursel Alp(25)
- Danabas, Durali(25)
- Say, Yakup(25)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ2Change of micronucleus frequencies, antioxidant parameters and in silico in carp (Cyprinus carpio) fry exposed to ibuprofen
Kirici, Muammer; Tüzün, Burak; Yonar, Muhammet Enis; Poustforoosh, Alireza; Mişe Yonar, Serpil; Şeker, Engin; İspir, Ünal
Ibuprofen, a non-steroidal anti-inflammatory drug, has been detected in the aquatic environment, but little is known about its effects on fish and other aquatic organisms. This study aimed to investigate the effect of ibuprofen on micronucleus levels in erythrocytes and whole-body antioxidant parameters of carp (Cyprinus carpio) fry. Fish were exposed to immersion in two different doses of ibuprofen concentrations (50 and 250 μg/L) for 24, 48, 72 and 96 h and 14 days. No mortalities occurred in any group during the test. Abnormal behaviours such as irregular swimming, loss of balance and hanging vertically in the water were observed in some fish exposed to acute toxicity. In this study, a significant increase in the micronucleus number of red blood cells was observed throughout the study period (p < 0.05). Antioxidant parameters were measured spectrophotometrically. Results obtained showed that ibuprofen significantly increased (p < 0.05) malondialdehyde (MDA) levels, glutathione S-transferase (GST) and catalase (CAT) activities, but decreased (p < 0.05) the glutathione (GSH) levels of whole-body carp fry in a dose-dependent manner. Furthermore, ibuprofen significantly increased MDA, GST and CAT levels, but increased the GSH levels of whole-body carp fry in a time-dependent manner. These results indicate that carp fry is sensible to human pharmaceutical agents in aquatic environments. The manner and the constructed interactions between ibuprofen and two protein targets (immunoglobin and haemoglobin) were investigated using molecular docking and molecular dynamics simulation. The results indicated that ibuprofen could affect the haemoglobin activity. Finally, absorption, distribution, metabolism, excretion and toxicity analysis was performed to examine the drug potential of the studied molecules.
AtıfScopus3OpenAlex5
İncele - MakaleAçık Erişim2026Scopus SJRQ1Radiation shielding performance of (SmEuYbLaEr)2TaO4 high-entropy oxide reinforced Cu matrix composites
Taşgın, Yahya; Yılmaz, Demet; Kanca, M. Sait; Kök, Mediha; Yayla, Nihal; Güler, Ömer
High-entropy oxides (HEOs) containing rare earth elements are attracting increasing interest due to their thermal stability and potential for use in radiation shielding applications. In this study, the high-entropy oxide (SmEuYbLaEr)2TaO4 was synthesized via mechanical alloying (MA) followed by calcination and incorporated into a Cu matrix at different reinforcement levels to produce volumetric composites. Structural, thermal, and microstructural analyses confirmed the successful formation of a stable HEO phase and its effective dispersion within the Cu matrix. The radiation shielding performance of the composites was experimentally evaluated over a wide range of photon energies using standard gamma-ray sources. The results showed that shielding performance depends largely on both photon energy and HEO content. Increasing the HEO concentration significantly reduced the half-value layer (HVL) while substantially increasing the mass attenuation coefficient (MAC) and radiation protection efficiency (RPE), particularly in the low- and medium-energy regions where the photoelectric effect is dominant. Among the materials studied, the Cu composite containing 20 wt% HEO exhibited the best overall shielding performance. These results demonstrate that (SmEuYbLaEr)2TaO4 is an effective additive for improving the radiation shielding capability of Cu-based composites and highlight its potential for advanced radiation protection applications.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2The Positive Effect of Antioxidants in Maintaining the Post-Cryopreserved Sperm Quality of Rainbow Trout Oncorhynchus mykiss (Walbaum, 1792)
Handayani, Luvi S.; Rahayu, Sri R.; Razi, Nanda M.; Pane, Elya P.; Kocabas, Mehmet; Kocabas, Filiz Kutluyer; Hafizuddin, Hafizuddin; Fadli, Nur; Sulistiono, Sulistiono; Muchlisin, Zainal A.
Rainbow trout aquaculture is challenging due to the restricted spawning seasons. Sperm cryopreservation technology can help ensure a successful spawning season, but its effectiveness is restricted by oxidative stress during freezing and thawing, which reduces the availability of male gametes. This study aimed to evaluate the effect of several types and concentrations of antioxidants on post-cryopreservation rainbow trout sperm quality. Subsequently, a factorial completely randomized design with three replications was applied, testing four types of antioxidants Ascorbic acid, Myo-inositol, Butylated hydroxytoluene (BHT), and Alpha-tocopherol at concentrations of 0, 20, 40, and 60 mM, respectively. The evaluation parameters included motility rate, sperm lifespan, and sperm motion characteristics using the Computer Assisted Sperm Analysis system. The results showed that the type and concentration of antioxidants significantly affected sperm motility and sperm lifespan (P<0.05). The treatment method carried out using 40 mM Ascorbic acid and 20 mM BHT led to the highest sperm motility of 46.67% and sperm lifespan of 34 seconds. Although both antioxidants showed similar effectiveness, BHT at a concentration of 20 mM is more recommended due to its lower toxicity and technical as well as economic efficiency considerations.
- MakaleYalnız künye2026Scopus SJRQ1Modeling stack voltage and remaining useful life of proton exchange membrane fuel cells using deep neural networks
Dogan, Gurkan; Imak, Andaç
Currently, various energy conversion systems are being developed to reduce environmental impacts. Proton exchange membrane fuel cells (PEMFCs), which stand out with their high efficiency characteristics, have emerged as an important alternative. However, these advantages, along with high costs and uncertainties regarding remaining useful life (RUL) estimation, restrict their further commercialization, especially in the automotive industry. This study presents a forecasting framework using a long short-term memory (LSTM) architecture enhanced with the Bahdanau attention mechanism for predicting RUL and long-term degradation trends. The model thus exhibits a performance that can more effectively capture dependencies in time series and adaptively weight significant time steps. Furthermore, the tree-structured parzen estimator (TPE) was chosen for the appropriate selection of hyperparameters in the developed forecasting framework. The validity, stability, and performance of the proposed model under different operating conditions were examined on the FC1 and FC2 datasets. Experimental studies have shown that the proposed method is the most successful among the best methods, achieving RE metric values of 1.628 × 10−3, 0.003 × 10−1, 99.16 × 10−2, and 0.044 × 10−1 respectively in estimating the best RMSE, MAPE, R2, and RUL.
- MakaleYalnız künye2026Scopus SJRQ1Quality Enhancement of Rhubarb (Rheum ribes L.) Jam by Ohmic Heating
Özdede, Gizem Merve; Özakdağ, Işılay; Sevim, Esra; Karakavuk, Emrah; Sabancı, Serdal
This study aims to comparatively investigate the production of jam from Rheum ribes L., a plant known for its functional properties, using both conventional and ohmic heating methods, and to evaluate the effects of these methods on quality parameters. Ohmic heating was applied at three different voltage gradients (25, 30, and 35 V/cm) and compared with conventional heating. In both methods, jam samples were produced until they reached a total soluble solids (TSS) content of 66%, after which total phenolic content (TPC), antioxidant activity, ascorbic acid (vitamin C), hydroxymethylfurfural (HMF), and individual phenolic compounds were analyzed. According to the results, the highest TPC (488.37 mg gallic acid equivalent [GAE]/kg), antioxidant activity (595.6 mg ascorbic acid equivalent [AAE]/kg), and vitamin C content (23.6 ppm) were obtained at 35 V/cm. In contrast, the conventional method yielded significantly lower values for these parameters and a higher HMF content (29.9 ppm). Ohmic heating enabled a much shorter processing time, reducing energy consumption by approximately sixfold and contributing to better retention of nutritional components. Additionally, higher voltage gradients resulted in improved preservation of individual phenolic compounds (such as gallic acid, catechin, and rutin). The findings indicate that, compared to the conventional method, ohmic heating offers higher efficiency, better retention of bioactive compounds, and a more sustainable production approach due to its lower energy requirement.
- MakaleAçık Erişim2026Scopus SJRQ1Predictive Value of Health Literacy on Health-Promoting and Protective Behaviours in Turkish Nurses and Allied Health Workers
Deniz Akan, Dilan; Yeşiltepe, Akgün
Aim: This study aims to investigate the extent to which Turkish nurses and allied health workers' levels of health literacy predict health-promoting and protective behaviours. Desing: A descriptive and cross-sectional study design was used. Methods: The study was conducted with 403 Turkish nurses and allied health workers working in different regions of Türkiye between January and May 2024. JASP 0.18.3.0, Jamovi 2.3.21, and SPSS 26 and AMOS26 programs were used for data analysis. Descriptive statistics and simple and multiple regression analysis were used in the analysis of the data. Results: A positive, moderately significant relationship was found between health literacy and health-promoting and protective behaviours (r = 0.460, p < 0.001). Regression analysis results showed that health literacy explained 21.1% (R2 = 21.1) of the change in health-promoting and protective behaviours and was a significant predictor of health-promoting and protective behaviours. Patient or Public Contribution: Understanding the predictive effect of health literacy and preventive health behaviours can guide practices and policies that will improve the level of health literacy and preventive health behaviours in healthcare workers. Improving their health literacy and preventive health behaviours can help patients and the general public increase their health literacy levels and gain positive health behaviours.
- 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.
AtıfScopus2WoS2İncele - 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 - 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.
- MakaleYalnız künye2026Scopus SJRQ3Diverse optical soliton solutions to the generalized resonant nonlinear Schrödinger equation through an integral method
Atas, Sibel Sehriban; Ali, Karmina K.
This paper is concerned with the generalized resonant nonlinear Schrödinger equation with an arbitrary index, which describes ultra-short pulse propagation in optical fibers. The study uses the main integration method: the modified generalized Riccati equation mapping method, to construct and analyze combined forms of optical soliton solutions. The results are multifaceted, revealing a variety of optical soliton solutions, such as rational solutions in hyperbolic functions, combined solutions of hyperbolic and trigonometric functions, bright, singular, , kink-shaped, smooth kink, and periodic singular. Moreover, two-dimensional, three-dimensional, and contour graphs of some obtained optical soliton solutions are plotted to illustrate the importance of the generalized resonant nonlinear Schrödinger equation, using suitable values of physical parameters. Two-dimensional graphs are used to illustrate the dynamic behavior of the solutions, taking into account the impact of the nonlinear index n and the time parameter t. The obtained optical solutions are considered novel and most likely have not been reported in the literature before.
AtıfScopus1OpenAlex1İncele - 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.
AtıfScopus1OpenAlex2İncele - 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.