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Koleksiyondaki öğeler
- MakaleAçık Erişim2025Scopus SJRQ2Determination of the Effect of Nanoparticle Copper on Navicula cryptocephala var. veneta by Biomarkers and Bioaccumulation Amounts
Serdar, Osman; Aydın, Ayşe Nur; Ölçülü, Abdüllatif; Çiçek Çimen, Işıl Canan; Parlak Ak, Tuba; Derman, Taner; Pala, Ayşegül; Yıldırım, Nuran Cikcikoğlu
Pollutants such as copper nanoparticles (CuNP), which form residues in the environment, especially in water environments, cause serious damage to the environment and the organisms living in the environment. In this study, Navicula cryptocephala var. veneta was selected as a model organism. The EC50 values of CuNP on Navicula cryptocephala var. veneta were determined as 4.94 mg\L and 3 different application concentrations were determined considering this ratio. The experiments were carried out in 3 replicates and samples were taken at 24 and 96 hours. At the end of 120 hours, samples were taken to determine the elimination values. CuNP accumulation amounts in the samples were measured by electrothermal atomic absorption spectrophotometer (ETAAS). For biomarker analysis, thiobarbituric acid (TBARS) and glutathione (GSH) levels and superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) activities were performed using CAYMAN ELISA kit. According to the study data, as CuNP concentration and application time increased, the amount of accumulation in Navicula cryptocephala also increased. Increasing-decreasing changes were observed in elimination. CuNP caused oxidative stress in N. cryptocephala and caused changes in TBARS and GSH levels. In addition, it caused increases in SOD activities and statistically significant decreases (P<0.05) in CAT and GPx activities.
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- MakaleAçık Erişim2026Scopus SJRQ2A Strategic Pre-Mechanical Activation Approach for Reducing Acid Consumption and Ion Release on Acid Leaching of Lithium-Bearing Clays
Boylu, Feridun; Obuz Teker, Gülsen; Ersever Angur, Gafure; Özdemir, Orhan; Güven, Onur; Celik, Mehmet S.
The increasing demand for lithium and the limited availability of high-grade resources have accelerated interest in lithium-bearing clays as a promising alternative, despite their relatively lower lithium content. Lithium extraction from such clay minerals typically requires thermal treatment or acid leaching to disrupt the clay crystal lattice and enhance lithium solubility. The enrichment tailings from the Kırka Boron Processing Plant in Türkiye consist predominantly of dolomite-rich clay minerals and contain approximately 900–1200 ppm Li. Considering the substantial quantities of these tailings currently stored on-site, recovering lithium and converting these materials into a valuable resource would be of significant economic importance. However, due to their mineralogical composition, conventional acid leaching of these tailings demands relatively high sulfuric acid consumption (1.5–2.0 M H2SO4). This leads to excessively low solution pH and the generation of highly acidic waste streams, while also promoting the co-dissolution of iron (Fe) and aluminum (Al) ions at pH levels below 2, which negatively affects lithium recovery and downstream processing. In this study, mechanical activation was applied to the tailings prior to acid leaching. As a result, the acid requirement to achieve lithium extraction efficiencies of 90% and above was successfully reduced from 1.5 M to 1.0 M H2SO4. Moreover, solution pH was maintained near neutral (~7), and the undesirable dissolution of Fe and Al ions was effectively suppressed and kept under control.
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- MakaleAçık Erişim2026Scopus SJRQ1The impact of narcissistic personality traits on social media interaction and body image: individual and team athletes
Kiliç, Kübra; Sezer, Burcu Sıla; Aydinli, İbrahim; Tutar, Ömer Faruk; Kiliç, Yakup
Introduction – The aim of this study is to examine the effect of narcissistic personality traits on body image through social media interaction and to comparatively evaluate these relationships in the context of athletes engaged in individual and team sports. Methods – The research group consisted of a total of 389 athletes, namely 158 female (age = 21.53 ± 3.16; years of sports experiences = 5.56 ± 4.17) and 231 male (age = 23.00 ± 5.09; years of sports experience = 8.28 ± 5.44) athletes, all residing in the Eastern Anatolia region and having a sports background. A personal information form, the “Narcissism on Social Media Scale, ” and the “Body Image Scale” were used as data collection tools. Analysis of the obtained data revealed a normal distribution; therefore, t-tests were used to compare two groups, ANOVA for comparisons of two variables, Pearson Correlation to evaluate relationships between parameters, and regression analysis to determine the effect. Results – As a result of the analyses, no significant difference was observed in terms of the type of sport variable. The study found that, among athletes engaged in individual sports, body image levels were higher in males compared to females and, in individual athletes, the narcissistic rivalry dimension was more prevalent in athletes who used social media for 5 h or more compared to those using it for less than 1 h. Multiple correlation analysis revealed no significant relationship between scale dimensions and years of sports experience. Regression analysis showed that body image level had a low but significant effect on narcissistic admiration and narcissistic rivalry. Conclusion – In conclusion, it was determined that athletes in individual sports are sensitive to demographic variables, and that the duration of social media use, in particular, is a factor that increases narcissistic competitive tendencies. The fact that years of sports experience and type of sport did not make a difference suggests that the dimensions used are shaped more by current psychosocial interactions. Indeed, the regression analysis also shows that the relationship between body image and narcissistic admiration and competition points to a weak but significant psychological interaction network.
- MakaleAçık Erişim2026Scopus SJRQ1Positive body image is a pathway between nature contact and life satisfaction across 58 nations
Swami, Viren; Voracek, Martin; Stieger, Stefan; Aavik, Toivo; Ranjbar, Hamed Abdollahpour; Adebayo, Sulaiman Olanrewaju; Afhami, Reza; Ahmed, Oli; Aimé, Annie; Akel, Marwan
Time spent in nature benefits human mental and physical well-being. However, much of the variance in outcomes of nature contact remains unexplained, suggesting that new mechanistic pathways need to be considered. Here, we tested a novel conceptual model linking nature contact with life satisfaction via pathways involving positive experiences of living in and experiencing the world through the physical self. Using data from the Body Image in Nature Survey (BINS; N = 50,363), representing respondents from 58 nations and speaking 36 different languages, we find that nature contact is associated with greater self-compassion and greater perceived restoration in nature, which in turn are associated with more positive body image. In addition, more positive body image is associated with greater life satisfaction. These associations were robust to sensitivity tests, generalised to all gender identities and age groups, and held individually in almost all national groups and languages. Although replications are needed, we propose that the materialities of natural environments help to link bodily experiences to the production and experience of well-being, a process that is largely stable across national groups.
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- MakaleAçık Erişim2025Scopus SJRQ2Nursing Students' Attitudes Towards Clinical Practice and Occupational Risk Perceptions
Daşbilek, Ferhat; Yeşiltepe, Akgün; Erçel, Şeyda
Aims and Objectives: In this study, it was aimed to determine nursing students' attitudes towards clinical practice and their perceptions of occupational risk. Method: The research is descriptive and cross-sectional. The population of this study consisted of second-, third- and fourth-year students studying in the Department of Nursing affiliated to the Faculty of Health Sciences of a university located in Turkey. The analysis was conducted using JASP 0.19.1.0 and SPSS 25 software. Mann–Whitney U and Kruskal–Wallis tests were applied. The Bonferroni test was performed to identify the group causing the difference. Results: A significant positive correlation was found between nursing students' perception of occupational risk and nursing students' attitude toward clinical practice (r = 0.434, p = 0.000). The mean score of the nursing students' perception of occupational risk in nursing students was 68.74 ± 15.04. The mean score of attitude towards clinical practice in nursing students was 100.04 ± 24.83. A statistically significant difference was found between the presence of attitude towards clinical practice in nursing students and perception of occupational risk in nursing students in the gender variable (p < 0.05), whereas a statistically significant difference was found between adequate information about the nursing profession and attitude towards clinical practice in nursing students (p < 0.05). Conclusion: In the findings of the study, nursing students' perception of occupational risk and attitudes towards clinical practice were found at a high level. A statistically significant difference was found between the presence of perception of occupational risk in nursing students and attitude towards clinical practice in nursing students in the gender variable. In addition, a statistically significant difference was found between adequate knowledge and nursing profession about the nursing profession and attitude towards clinical practice in nursing students.
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- MakaleYalnız künye2025Scopus SJRQ2The effect of WC addition on CrMnFeCoNi high entropy alloys: crystal-micro structure, hardness and wear behavior
Taşgın, Yahya; Kanca, M Sait; Kök, Mediha; Anik, Kerem
High entropy alloys are produced by combining four or more elements in close percentage ratios. Recently, these alloys have become the preferred group due to their superior mechanical and thermal properties. In this study, tungsten carbide (WC) was doped into CrMnFeCoNi alloys at different ratios, and the effects of WC and heat treatment on the doped alloys were investigated. XRD, SEM, and EDS analyses, wear tests, and microhardness measurements were performed on the produced samples to examine their microstructural properties. When comparing the heat-treated samples with WC (3%, 5%, and 10% additions) to the untreated samples, it was found that the average hardness values of the heat-treated samples were higher. Although the grain structures of the samples, as observed through XRD, SEM, and EDS, were preserved, their ratios were altered, and the wear tests revealed that the mass losses of the heat-treated samples increased.
- MakaleAçık Erişim2025Scopus SJRQ1Modeling water infiltration into soil under fractional wettability conditions
Di Prima, Simone; Stewart, Ryan D.; Abou Najm, Majdi R.; Yilmaz, Deniz; Comegna, Alessandro; Lassabatere, Laurent
The heterogeneous distribution of water-repellent materials at the soil surface causes a phenomenon known as fractional wettability. This condition frequently triggers destabilization of the wetting front during water infiltration, resulting in the formation of fingered bypass flow. However, few analytical tools exist to understand and model this behavior. Moreover, existing infiltration models fail to fit certain infiltration curves that exist in experimental data. For these reasons, we introduce a novel infiltration model to simulate water infiltration under fractional wettable conditions. We conceptualize the soil surface as a composite of two distinct portions: a water-repellent fraction, where hydrophobic effects impede water infiltration, and a wettable fraction, where capillarity and gravity are the dominant forces controlling the process. The new model was validated using a dataset comprising infiltration data from 60 field measurements. Additionally, validation was performed using 660 analytically generated infiltration curves from six synthetic soils with varying textures. This innovative approach enabled us to account for the combined influence of these two fractions and to enhance the interpretation of infiltration curves with mixed shapes, which other common methods are unable to reproduce.
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- MakaleYalnız künye2025Scopus SJRQ1Effect of Ohmic Heating on the Quality and Nutrient Preservation of Plum Marmalade: A Comparison With Conventional Heating
Ekici, Seymanur; Omac, Basri; Sabanci, Serdal
In this study, plum marmalade was prepared using the ohmic heating method at three distinct voltage gradients (30, 35, and 40 V/cm). The quality properties of the marmalade prepared this way were contrasted with those prepared using the conventional heating method. Total phenolic content (TPC), antioxidant activity (AA), vitamin C content, total color change (ΔE), hydroxymethylfurfural (HMF), and the amount of time needed for the process, including heating and evaporation, were all measured as part of the study. According to the findings, ohmic heating—specifically, a voltage gradient of 40 V/cm—significantly reduced the heating time when compared to the traditional method, which raised the stability of vitamin C, AA, and phenolic compounds. When ohmic heating was used instead of conventional heating, the amounts of TPC, AA, and vitamin C increased by 19.50%, 33.90%, and 149.12%, respectively. In comparison to traditional heating under atmospheric conditions, the results also showed that ohmic heating increased the amounts of gallic acid (40.61%), catechin (40.98%), chlorogenic acid (25.05%), and rutin (24.67%). Furthermore, the results showed that ohmic heating reduced the amount of HMF (34.34%) and ΔE (2.27%) in comparison to conventional heating. TPC, AA, vitamin C, gallic acid, catechin, chlorogenic acid, and rutin were higher than conventional heating; nevertheless, HMF and ΔE were lower than conventional heating at the applied ohmic heating process. The results obtained indicate a strong potential for an ohmic heating system as a rapid heating method for preserving nutritional value.
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- MakaleYalnız künye2026Scopus SJRQ3The relationship between muscle strength and oxygenation and activities of daily living in adolescents and young adults with pulmonary arterial hypertension
Dik, Jan; Topcuoglu, Ceyhun; Vardar-Yagli, Naciye; Goksuluk, Merve Basol; Aypar, Ebru; Alehan, Dursun; Saglam, Melda
Pulmonary arterial hypertension leads to dyspnoea, fatigue, and oxygen desaturation, limiting activities of daily living and functional capacity. This study aimed to evaluate the impact of pulmonary arterial hypertension on activities of daily living performance, functional capacity, peripheral muscle strength, oxygen dynamics, and energy expenditure. Eighteen adolescents and young adults with pulmonary arterial hypertension (10 females, 8 males; age 9–30 years) and 15 healthy controls (10 males, 5 females; age 9–30 years) were included. Peripheral muscle strength was assessed using a handheld dynamometer, functional capacity via the 6-minute walk test, and muscle oxygenation through near-infrared spectroscopy. Lower-limb endurance was evaluated with the 1-minute sit-to-stand test and activities of daily living performance with the Glittre Activities of Daily Living test. Compared to controls, the pulmonary arterial hypertension group had significantly lower 6-minute walk test distance (441.9 m versus 636.9 m; p < 0.001), reduced sit-to-stand repetitions (28 versus 42.1; p < 0.001), weaker peripheral strength, and lower minimum muscle oxygen saturation (24.9% versus 51.8%; p < 0.001). Glittre Activities of Daily Living test duration was longer (143 s versus 105 s; p < 0.001), with greater oxygen desaturation (−13% versus −1%; p < 0.001), higher dyspnoea scores using modified Borg scale (5 versus 1; p < 0.001), and blunted heart rate response (ΔHR [change in heart rate]: 32 versus 64; p = 0.011). These findings demonstrate that pulmonary arterial hypertension significantly impairs both cardiopulmonary and peripheral muscle function. Protecting muscle health and improving functional capacity should be prioritised to enhance quality of life in this population.
- MakaleAçık Erişim2026Scopus SJRQ2Design and Characterization of Y2O3/Pr2O3–Enriched Inconel-718 Alloys for Nuclear Applications
Albayrak, Muhammet Gökhan; Güler, Ömer; Güler, Seval Hale; Evin, Ertan; ALMisned, Ghada; Sen Baykal, Duygu; Alkarrani, Hessa; Susoy, Gulfem; Kilic, Gokhan; Tekin, Hüseyin Ozan
This study explores the physical, structural, and radiation shielding enhancements in Inconel 718 superalloys reinforced with 1 wt% Y2O3 and varying Pr2O3 contents from 0 to 10 wt%, respectively. X-ray diffraction analysis confirmed preservation of the face-centered cubic structure, with increasing Pr2O3 inducing peak broadening and partial amorphization. The scanning electron microscopy/energy-dispersive X-ray spectroscopy results verified the homogeneous dispersion of oxides without agglomeration. Gamma-ray shielding parameters, including the mass attenuation coefficient (MAC), half-value layer, and effective atomic number, significantly improved with higher Pr2O3 content, particularly at low to mid photon energies. The 718Y-10PO sample exhibited the lowest transmission factors and the highest MAC values across all the tested energies. Buildup factors decreased in the Pr-rich samples, confirming reduced photon scattering. Notably, the fast neutron removal cross section for 718Y-10PO as 0.15521 cm−1 exceeded the benchmark materials like graphite and B4C. These findings establish the 718Y-10PO alloy as a promising candidate for advanced nuclear shielding applications, combining structural integrity with promising gamma and neutron attenuation capabilities.
- MakaleYalnız künye2026Scopus SJRQ2Synthesis, structural characterization, and radiation interaction behaviour of (ErSmGdYPr)2Hf2O7 high-entropy oxide powder: A preliminary investigation for potential applications in nuclear environments
Güler, Ömer; Güler, Seval Hale; Özkul, İskender; ALMisned, Ghada; Baykal, Duygu Sen; Tekin, Huseyin Ozan
This study represents an initial investigation toward exploring the multifunctional potential of the (ErSmGdYPr)2Hf2O7 high-entropy oxide as a thermal barrier coating (TBC) material in radiation environments. Therefore, the evaluated parameters should be considered as a preliminary step rather than a complete representation of the material’s overall performance in such complex applications. In this context, (ErSmGdYPr)₂Hf2O7 powders were synthesized through high-energy ball milling of commercial rare-earth oxide precursors followed by calcination at different temperatures. Structural evolution during synthesis was investigated using X-ray diffraction, scanning electron microscopy with energy-dispersive spectroscopy, and thermal analysis techniques. The results confirmed the formation of a defective fluorite-type high-entropy oxide structure after calcination at elevated temperatures, accompanied by homogeneous elemental distribution and stable ceramic microstructures. In addition to structural characterization, the radiation interaction behaviour of the synthesized material was evaluated through gamma-ray attenuation parameters and fast neutron removal cross-section analysis. The obtained results indicate that the presence of multiple rare-earth elements provides favorable interaction characteristics with both photons and fast neutrons. These findings highlight the potential of this high-entropy oxide as a precursor for multifunctional coating materials. However, it should be noted that this work represents a preliminary powder-level investigation, and further research on actual coating deposition and thermal testing is required to validate its service performance.
- MakaleYalnız künye2026Scopus SJRQ2Phytoremediation of elements in municipal wastewater treatment plant effluent by Lemna gibba L.: a full-scale study
Topal, Murat; Öbek, Erdal; Çelik, Erdal; Arslan Topal, E. Işıl
In this study, capacity of naturally growing Lemna gibba L. in removing elements (B, As, Al, Ca, Ba, Co, Fe, Cu, K, Cr, Li, Mo, Ni, Mn, Na, Mg, Sb, P, Si, Pb, Se, Ti, Zn, V, and Sr) from the effluent of secondary clarifier of a municipal wastewater treatment plant (MWWTP) was determined week by week (W1, W2, W3, and W4) and analyzed as a whole using statistical models. To determine the removal contribution of Lemna gibba L. to the MWWTP effluent, secondary clarifier without Lemna gibba L. was used as a control. The aim here is to determine the contribution of Lemna gibba L. to MWWTP’s removal efficiency. Trace elemental quantification was conducted via validated ICP-MS following microwave-assisted acid digestion. In this context, according to the analysis results, the removal efficiency of Lemna gibba L. for Al was highest at 89.66% over the weeks. Furthermore, treatment efficiencies above 50% were achieved for Co (57.86–60.61%), Sb (64.25–67.35%), and Ti (63.27–66.21%). Based on statistical analyses, PCA (principal component analysis)) and HCA (hierarchical cluster analysis) models explained 85% of the total variance. As a result, this study demonstrated that Lemna gibba L. removes elements from MWWTP effluent, contributing to the removal efficiency of the secondary clarifier and clearly showing its potential use in phytoremediation.
- MakaleYalnız künye2026Scopus SJRQ1From trash to technology: Ai-driven waste classification with hybrid CNN-transformer approach for sustainable recycling
Utku, Anil
The increasing amount of waste globally requires more efficient recycling processes and increases the importance of intelligent, automatic classification systems. Since traditional waste separation methods are time-consuming and have high error rates, artificial intelligence-based solutions have great potential in this area. In this study, the effectiveness of deep learning-based waste classification models was investigated, and nine different waste types were classified using DenseNet121, EfficientNetB0, ResNet50, ViT, DenseNet121-ViT, EfficientNetB0-ViT, ResNet50-ViT. Experimental results show that hybrid CNN-ViT models achieved the highest accuracy rates. Mainly, the EfficientNetB0-ViT model exhibited the best performance with a 95% accuracy rate and made a balanced classification for all waste types. The model can optimize recycling processes by ensuring the correct separation of wastes and contribute to environmental sustainability by reducing misclassification. Artificial intelligence-supported waste management systems offer an effective solution in critical areas such as reducing greenhouse gas emissions, saving energy, and supporting environmentally friendly urban planning. The findings of this study reveal that deep learning-based artificial intelligence models are an important tool for sustainable environmental management.
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- MakaleYayıncıda açık erişim2025Scopus SJRQ1Experimental analysis of a double-slope solar still integrated with parabolic trough solar collector using nanofluid
Tuğan, Volkan; İnallı, Mustafa; Işık, Erdem
The use of solar energy in the treatment of saline water offers a sustainable and low-cost solution to the increasing global fresh water demand. In this direction, solar still systems separate water vapor from saline water by directly using solar radiation and then condense it to obtain pure water. However, their fresh water productivity is relatively low. Therefore, in this study, the fresh water productivity and thermal efficiency of the double slope solar distillation unit integrated with parabolic trough solar collector, which operates completely on solar energy, were investigated experimentally. In addition, the effect of water-based nanofluid containing multi-walled carbon nanotubes on the performance of the solar still was investigated. All the stills produced were compared in terms of fresh water productivity and thermal efficiency. According to the results obtained from the study, the highest daily productivity was found to be 1963.8 g/m2/day, 2008.5 g/m2/day, 2592.0 g/m2/day and 2937.6 g/m2/day for SSSS, DSSS, PTSC integrated DSSS and both NF and PTSC integrated DSSS, respectively. It was observed that the daily productivity of DSSS, DSSS with integrated PTSC, and DSSS with both PTSC and NF were 6.6 %, 42.2 %, and 49.6 % higher than SSSS, respectively. Additionally, it was observed that the thermal efficiency of DSSS using PTSC and NF was lower compared to SSSS due to its larger system area.
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- MakaleAçık Erişim2025Scopus SJRQ2Effect of B4C Amount on Microstructural and Mechanical Properties of Cu/h-BN/B4C Metal Matrix Composites Fabricated via Spark Plasma Sintering
Çelebi, Müslim; Karabacak, Abdullah Hasan; Özkaya, Serdar; Çelik, Ertuğrul; Sekban, Dursun Murat; Çanakçı, Aykut; Yanar, Harun
Copper (Cu) is widely used in electrical, electronic, and tribological systems owing to its excellent electrical and thermal conductivity. However, its relatively low hardness and poor wear resistance limit its use in demanding engineering applications. In this study, Cu-based hybrid metal matrix composites (MMCs) reinforced with hexagonal boron nitride (h-BN) and boron carbide (B4C) were fabricated via spark plasma sintering (SPS) to improve their mechanical and tribological performance. The h-BN content was fixed at 1 wt.% to ensure solid lubrication, while the B4C content was varied (0.25, 0.5, 0.75, and 1 wt.%) to examine its influence on the microstructural, mechanical, electrical, and wear properties of the composites. Microstructural analyses confirmed a homogeneous distribution of h-BN and B4C particles in the Cu matrix at low and moderate reinforcement levels, whereas excessive B4C resulted in partial agglomeration and reduced densification. All composites achieved relative densities above 95%, demonstrating the high densification efficiency of the SPS process. Hardness increased markedly with B4C addition due to dispersion strengthening and grain refinement, while electrical conductivity decreased slightly because of the insulating nature of the reinforcements. Tribological tests showed that the composite containing 0.75 wt.% B4C exhibited the best performance, with the lowest wear rate and stable friction behavior. Overall, the results indicate that co-reinforcing Cu with h-BN and B4C through SPS is a promising strategy for developing multifunctional materials suitable for electrical contact and sliding applications.
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- MakaleYalnız künye2026Scopus SJRQ2Optimization of native plant selection for phytomining of strategic/critical raw materials using Artificial Bee Colony algorithm
Arslan Topal, E. Işıl; Topal, Murat; Çelik, Erdal; Öbek, Erdal
This study investigates the potential of native plant species (NPs) as secondary sources for strategic/critical raw materials (SCRMs) through phytomining, aiming to identify the most efficient accumulator for sustainable element recovery. To achieve high-precision results, the Artificial Bee Colony (ABC) algorithm, a robust meta-heuristic optimization technique inspired by the foraging behavior of honeybees, was utilized to minimize the error between experimental data and predicted models to optimize the accumulation of key elements including cobalt (Co), strontium (Sr), antimony (Sb), vanadium (V), phosphorus (P), lanthanum (La), magnesium (Mg), titanium (Ti), aluminum (Al), and scandium (Sc). The research focused on three NP species—Musk thistle (MT), curly dock (CD), and Juncus (JS)—collected from a geothermal hot spring area. Methodological validation was performed through comparative statistical analysis and the calculation of bioconcentration factor (BCF) and translocation factor (TF) to assess phytoremediation efficiency. The ABC optimization results revealed that MT exhibited the most significant accumulation capacity, particularly for Mg, reaching a peak concentration of 3,910 mg/kgdw in the leaves. The concentration range (lowest to highest value) was between 0.01 (for La) and 3,910 mg/kgdw for the studied plants. Principal component analysis (PCA) corroborated these findings, explaining cumulative variances of 80.4% (MT), 89.4% (CD), and 76.4% (JS). The innovation of this study lies in the application of the ABC algorithm to the field of phytomining, which offers a more dynamic and flexible alternative to traditional regression-based models. The primary advantage of this proposed method is its superior global search capability and ability to handle multi-elemental interactions with high predictive accuracy. However, a potential disadvantage remains the computational complexity and the requirement for fine-tuning control parameters to ensure consistent convergence. Overall, MT is identified as a highly promising candidate for the phytomining of SCRMs, with Mg emerging as the most effectively accumulated element under the optimized ABC model.
- MakaleYalnız künye2026Scopus SJRQ2Compositional control of structural, magnetic, and gamma-ray attenuation properties in rare-earth substituted Ho-based double perovskite oxides synthesized via mechanical alloying and oxidation
Özkul, İskender; Kalay, Ece; Güler, Seval Hale; Karaduman, Oktay; Şimşek, Telem; Bülbül, Zeynel Abidin; Aksu Canbay, Canan; Sen Baykal, Duygu; ALMisned, Ghada; Tekin, H.O.
Rare-earth substitution provides a route for tailoring the structural, magnetic, and gamma-ray attenuation behaviour of Ho-based Co-Mn double perovskites; however, the combined effects of rare-earth ionic size, magnetic character, and substitution level remain insufficiently understood. In this study, Ho1.5La0.5CoMnO6, Ho1.2Er0.8CoMnO6, Ho1.3Sm0.7CoMnO6, and Ho2CoMnO6 were synthesized through a two-step route involving mechanical alloying to obtain precursor powders, followed by annealing at 1000 °C in air to promote oxidation and double-perovskite phase formation. Their structural, thermal, surface-chemical, magnetic, and gamma-ray attenuation properties were examined by X-ray diffraction, thermal analysis, X-ray photoelectron spectroscopy, SEM-EDS, vibrating-sample magnetometry, and theoretical shielding calculations based on half-value layer (HVL) and transmission factor (TF) parameters. The XRD patterns were consistent with predominantly monoclinic P21/n type double-perovskite structures, while weak additional reflections suggested possible minor secondary phases. SEM-EDS showed homogeneous elemental distributions, and XPS analysis indicated Co2+ dominated and mixed Mn-valence characteristics in the spectra where reliable component analysis was possible. All compositions exhibited a low-temperature ferromagnetic-like field response but did not reach magnetic saturation at 3 T. Ho2CoMnO6 and Ho1.3Sm0.7CoMnO6 showed the highest field-dependent magnetization values at 10 K, whereas Ho1.2Er0.8CoMnO6 displayed the lowest response. The theoretical gamma-ray attenuation calculations showed clear composition-dependent differences. At 0.662 MeV, the HVL values were 1.0650, 0.9972, 1.0438, and 0.9967 cm for Ho1.5La0.5CoMnO6, Ho1.2Er0.8CoMnO6, Ho1.3Sm0.7CoMnO6, and Ho2CoMnO6, respectively. At the same photon energy and a thickness of 1.0 cm, the corresponding TF values were 0.0896, 0.0858, 0.0882, and 0.0860. Thus, Ho1.2Er0.8CoMnO6 and Ho2CoMnO6 exhibited the lowest HVL and TF values among the investigated compositions. The shielding calculations identified Ho1.2Er0.8CoMnO6 and Ho2CoMnO6 as the most effective attenuators, with lower HVL and TF values across the investigated energy range. These results show that rare-earth substitution enables compositional tuning of magnetic and theoretical gamma-ray attenuation behaviour, with the observed trends reflecting the combined influence of rare-earth ionic size, magnetic character, substitution level, and valence-state complexity.
- MakaleAçık Erişim2026Scopus SJRQ1Biochemical effects and theoretical study of a metformin in the carp (Cyprinus carpio) fry
İSPİR, Ünal; Tüzün, Burak; KIRICI, Muammer; Poustforoosh, Alireza; YONAR, Muhammet Enis; YONAR, Serpil MİŞE; ŞEKER, Engin
Pharmaceutical chemicals are frequently detected in wastewater, and metformin, an oral hypoglycemic agent, is among the most common. In this study, the effects of metformin on biochemical (total protein, glycogen, lipid) and antioxidant (malondialdehyde (MDA), glutathione (GSH), glutathione S-transferase (GST), catalase (CAT)) parameters were investigated in carp ( Cyprinus carpio ) fry. Fish were exposed to 40 and 80 µg/L metformin for 96 h, 14 and 21 days. No mortalities occurred in any group. At 80 µg/L for 21 days, total protein activity and lipid levels significantly decreased. Glycogen activity showed no significant differences compared to controls. Antioxidant parameters measured spectrophotometrically revealed that MDA levels, CAT and GST activities decreased with time but increased with dose, while GSH levels rose with time yet decreased with dose. Overall, significant time- and dose-dependent effects ( p < 0.05) were observed. In silico analyses were also performed. The activity of metformin against antioxidant proteins was evaluated, and molecular dynamics simulations confirmed strong interactions with the most active protein. ADME/T analysis provided pharmacokinetic insights, and Gaussian-based quantum chemical calculations (EHOMO, ELUMO, ΔE, dipole, etc.) characterized electronic and structural properties. These combined results indicate that metformin alters key biochemical pathways in carp fry and has significant reactivity toward antioxidant proteins. Findings suggest potential ecotoxicological risks in aquatic systems and relevance to pharmacological profiling.
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- MakaleAçık Erişim2025Scopus SJRQ2Generalized Statistical Convergence in Sequence Spaces: A Modulus Function Perspective
Atıcı Turan, Gülcan
This study introduces a flexible framework for analyzing how sequences of numbers approach a limit, even when traditional convergence criteria fail. By incorporating modulus function mathematical tools that quantify growth rates, this research extends the concept of statistical convergence to handle sequences with irregular or sparse behavior. Key results establish connections between this generalized convergence theory and related properties, like boundedness, providing a unified approach to understanding sequence dynamics. The findings enhance our ability to model and analyze complex data patterns in mathematics and beyond.
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- MakaleAçık Erişim2025Scopus SJRQ2Effects of multiple element doping in NiTi based SMAs: Variation of phase transition and structural properties with Cu and Ag doping
Tatar, Cengiz; Mohammed, Safar Saeed; Kanca, M Sait; Qadir, Rezhaw Abdalla; Kök, Mediha
In this study, Ni41−2xTi49Cu7+xAg3+x (x = 0, 1, 2, 3) shape memory quaternary alloys were synthesized by arc melting, and their thermal, structural and mechanical properties were extensively investigated. Systemically, investigations have been carried out on the phase transformation behavior, thermodynamic properties, microstructure and oxidation resistance of the alloys with increasing Cu and Ag content. Differential Scanning Calorimetry (DSC) showed the shape memory effects of all alloys at low temperature. The transformation temperatures increased with increasing Cu and Ag concentrations. Thermodynamic analysis showed that Gibbs free energy trends and entropy were attributed to increased thermal stability at higher doping levels. XRD analysis confirmed the presence of martensitic (β19, β19′) and intermetallic Ti2(NiCu) phases, and grain refinement was found in higher doped samples. Microhardness measurements showed more homogeneous and stabilized microstructures at increasing doping, while SEM imaging showed that the hardness increased significantly. Thermogravimetric analysis showed that Cu and Ag slightly compromised the oxidation resistance due to the destabilization of the passive oxide layers. These results suggest that varying the Cu and Ag content in NiTi-based alloys is an effective method for improving mechanical strength and thermomechanical performance in advanced engineering applications.
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