Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(110)
- Güler, Ömer(70)
- Akkurt, Nevzat(69)
- Serdar, Osman(57)
- Yucesan, Melih(55)
- Celik, Erkan(53)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Bulut, Hasan(49)
- Baskonus, Haci Mehmet(48)
- Paksoy, Mehmet Yavuz(46)
- Yildirim, Numan(45)
- Kocabaş, Mehmet(41)
- Yildirim, Nuran Cikcikoglu(41)
- Zengin, Gokhan(40)
- Alataş, Mevlüt(39)
- Ince, Muharrem(38)
- Benzer, Fulya(37)
- Mete, Suleyman(34)
- Aslan, Naim(33)
- Kutlu, Banu(33)
- Yildirim, Ozal(33)
- Topal, Murat(32)
- Tanyol, Mehtap(30)
- Batan, Nevzat(28)
- Özkul, İskender(28)
- Kök, Mediha(27)
- Utku, Anıl(27)
- Can, Erkan(26)
- Danabas, Durali(26)
- Sulaiman, Tukur Abdulkadir(26)
- Ates, Mehmet(25)
- Ezer, Tülay(25)
- Guler, Omer(25)
- Kutluyer, Filiz(25)
- Say, Yakup(25)
- Serin, Faruk(25)
- Erguven, Gokhan Onder(24)
- Onat, Onur(24)
- Cakilcioglu, Ugur(23)
Yayınlar
- MakaleYalnız künye2026Scopus SJRQ2Comparative phytochemical characterization and bioactivity evaluation of hemp (Cannabis sativa L.) root extracts using green extraction technologies
Korkmaz, Nesrin; Yaman, Cennet; Güçlü, Ebru; Doğan, Üzeyir; İmamoğlu, Rızvan; Aslan korkmaz, Şengül
This study investigates the largely untapped therapeutic potential of industrial hemp (Cannabis sativa L.) roots, which are usually discarded as agricultural byproducts. The phytochemical composition and biological activities of extracts obtained using Soxhlet, ultrasound-assisted extraction (UAE), and supercritical CO₂ (SC-CO₂) techniques were comparatively evaluated. Compounds were characterized using FTIR, GC–MS, LC–MS, and ICP-MS. SC-CO₂ extraction yielded the most chemically diverse profile, particularly enriched in fatty acids and triterpenoids. In vitro assays demonstrated that SC-CO₂ and Soxhlet extracts significantly promoted fibroblast migration and reduced inflammatory responses compared to UAE extracts. Gene and protein expression analyses further supported these bioactivities. In conclusion, this study highlights the phytopharmaceutical potential of hemp root extracts obtained using alternative extraction techniques, including supercritical CO₂ extraction. While SC-CO₂ extraction enabled the recovery of a chemically diverse extract, the present study focuses on comparative phytochemical and bioactivity outcomes rather than a quantitative assessment of environmental sustainability. The findings support further investigation of hemp roots, currently treated as an underutilized biomass, for potential applications in natural product research.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2026Scopus SJRQ1Regulation of Quality and Phenolic Metabolism in Apricot Fruit by Postharvest Salicylic Acid and Putrescine Applications
Sakaldaş, Mustafa; Şen, Fatih; Gundogdu, Muttalip; Aglar, Erdal
Apricots are a highly sensitive product that suffers rapid quality losses due to physiological and biochemical processes such as increased respiration, ethylene production, cell wall breakdown, and changes in phenolic compounds that occur in the post-harvest period, and this significantly shortens their shelf life. This study evaluated the effects of salicylic acid (SA) and putrescine (Put) applications on post-harvest quality characteristics, organic acid metabolism, and phenolic compound stability in apricot (Prunus armeniaca L.) fruits. Fruits harvested at commercial maturity were treated with four different applications: control, SA (1 mM), Put (1 mM), and a combination of SA and Put. In this study, the physiological quality parameters such as weight loss, decay rate, soluble solids content (SSC), titratable acidity (TA), pH, and respiration rate were measured, and biochemical analyses of organic acids and individual phenolic compounds were performed. With increasing storage time, weight loss, decay rate, and pH values increased in all treatment groups, whereas significant decreases occurred in organic acids, ascorbic acid, and total phenolic compounds. However, it was determined that SA and Put applications significantly slowed down these negative changes. In particular, the SA + Put combination improved storage stability by providing the lowest weight loss and decay rate thanks to the preservation of cell membrane stability and the limitation of transpiration. Phenolic compound analyses showed that phenolic degradation is the natural process during storage, but SA and Put applications significantly slowed this process. In particular, it was determined that the combination application contributed to the preservation of antioxidant phenols by supporting phenylpropanoid metabolism, and that the highest level of phenolic stability was achieved in this group. PCA results revealed that quality degradation parameters were positively correlated with respiration rate and weight loss, whereas phenolic compounds, organic acids, and ascorbic acid showed strong positive correlations with quality preservation. Correlation analysis also supported these findings, confirming that antioxidant compounds play a decisive role in storage performance. In conclusion, it was determined that the combined application of SA and Put reduces oxidative stress, regulates metabolic activity, stabilizes phenolic metabolism, and significantly delays post-harvest quality losses in apricot fruit. This approach was found to offer an effective, feasible, and sustainable post-harvest strategy for extending shelf life and preserving nutritional quality components.
- MakaleYalnız künye2026Scopus SJRQ1MILA: An Innovative Approach to Identifying AI-Generated Content Using BERT, CNN, and BiLSTM
Utku, Anil
AI ethical principles are essential in balancing the social impacts of rapidly developing technology today. The widespread use of AI technologies has heightened the need for ethical and legal regulations in this area. In this process, fundamental principles such as data privacy, accountability, transparency, and human oversight take center stage to enhance the reliability of artificial intelligence and foster social trust. Generative AI refers to machines producing text, images, audio, and video content. However, generative AI brings ethical discussions since it can produce original content. Detecting AI-generated content is becoming increasingly complex due to the ability of AI models to produce increasingly more fluent and meaningful texts. This study created a hybrid MILA model using BERT, CNN, and BiLSTM models to detect AI-generated content. MILA was compared in detail with SVM, XGBoost, CNN, LSTM, and BiLSTM using sentence-level and article-level datasets. Experiments demonstrated that MILA outperformed the compared models, achieving 94.34% accuracy at the sentence-level and 93.62% accuracy at the article-level.
AtıfOpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ2Comparative Analysis of Sequential Electrooxidation and Electrocoagulation Processes for Leachate Treatment
Ogedey, Aysenur; Oguz, Ensar
This study aims to improve the removal efficiency of chemical oxygen demand (COD), NH₃-N, and turbidity from Bingöl leachate through a sequential electrochemical process. This process includes electrooxidation (EO) with Ti/PdO-CoO anodes and stainless-steel cathodes, followed by electrocoagulation (EC) with aluminum anodes and stainless-steel cathodes. The sequential electrochemical process lasted 400 min, consisting of 360 min of EO followed by 40 min of EC process. At pH 5, COD and turbidity reached optimal removal efficiencies of 89% and 99.9%, respectively, while NH₃-N achieved 88.5% at pH 9.5. These results indicate that the sequential electrochemical process was most effective under these pH values for removing organic matter, nitrogen, and suspended solids. The sequential electrochemical process led to significant improvements in the removal efficiencies of COD, NH₃-N, and turbidity, with increases of 32.5%, 44%, and 6.9%, respectively, compared to the EO process. The sequential electrochemical process showed improvements of 9.5% in COD and NH₃-N removal, and 1.2% in turbidity removal, compared to the results of the EC process. The pseudo-first-order (PFO) reaction rates for the EO and EC processes were determined, resulting in high R2 values (0.98–0.99). Additionally, the total consumption cost of the EO process was higher than that of the EC process. After the sequential electrochemical process, the consumption cost increased from $13.586/kg COD to $24.332/kg COD as the current density increased from 15 mA/cm2 to 25 mA/cm2.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ1Happiness and Psychological Well-Being Among Fathers of Young Children: Evidence From Tunceli, Turkey
Şen Montazerirad, Buket; Yeşiltepe, Akgün
Fatherhood significantly influences psychological well-being and happiness, yet fathers particularly of young children are underrepresented in research. This study examines the relationship between happiness and psychological well-being in this group. This study aims to explore the relationship between happiness and psychological well-being among fathers of children in early childhood. A descriptive-correlational study was conducted with data collected online using validated self-report questionnaires on demographic characteristics, happiness, and psychological well-being from 257 participants. A statistically significant, strong, and positive relationship was found between happiness and psychological well-being (r = 0.626, p = 0.000). Regression analysis revealed that happiness explained 39.2% of the variance in psychological well-being and was a significant predictor (R2 = 0.392). Each unit increase in psychological well-being was associated with a 0.794-unit increase in happiness (β = 0.794; p < 0.05). Fathers’ happiness is a key determinant of their psychological well-being and psychosocial interventions targeting fathers may enhance both paternal and child well-being.
- MakaleYalnız künye2026Scopus SJRQ1Exploring research themes in the Journal of Librarianship and Information Science: Insights from topic modelings
Aslan, Alper; Özyurt, Özcan
This study aims to explore research interests and trends in the journal by analyzing the entire publication history of the Journal of Library and Information Science (JoLIS) between 1969 and 2023 using Latent Dirichlet Allocation (LDA). A comprehensive topic modeling analysis was conducted on 1437 articles for which titles, abstracts and keywords were available. The research focuses on identifying key thematic shifts in the journal’s publications. The findings highlight that topics such as Information Literacy & Research and Librarian Roles & Skills are growing in importance, while traditional topics such as Cataloging & Classification are declining. The results reveal shifts in the focus of the LIS field, providing critical insights to guide future research. In particular, Information Literacy & Research emerges as a highly accelerating topic, reflecting the need for digital competencies in response to evolving information environments. Meanwhile, declining interest in Cataloging & Classification is in line with the automation of traditional library functions, shifting training priorities toward digital literacy and data management skills. By mapping the evolution of research priorities, this study serves as a valuable resource for LIS researchers and practitioners, helping them to align their work with future developments in the field.
AtıfScopus9WoS7OpenAlex11İncele - MakaleAçık Erişim2026Scopus SJRQ2Antioxidant capacity and α-glucosidase inhibitor activity of Bryonia aspera extracts and its major constituent p-coumaric acid: Phytochemical analysis, biological evaluation and computational approach
Tuncay, Salih; Karasakal, Ömer Faruk; Açar, Mikail; Toptancı, İsra; Şenol, Halil; Çırak, Olgun; Işık, Mesut; Beydemir, Şükrü
This study comprehensively investigated the phenolic composition, antioxidant potential, and α-glucosidase inhibitory properties of B. aspera Steven ex Ledeb. extracts using integrated in vitro and in silico approaches. LC-MS/MS analysis identified seven major phenolic compounds, caffeic acid, chlorogenic acid, galangin, gallic acid, naringenin, p-coumaric acid, and rutin, with p-coumaric acid being the most abundant (306.71 mg/kg in aerial and 155.56 mg/kg in root extracts). Both extracts exhibited strong antioxidant and α-glucosidase inhibitory activities, particularly the aerial extract (IC50 = 0.678 and 0.173 for DPPH, ABTS, respectively and 0.022 mg/mL for α-glucosidase inhibition). Molecular docking and MM-GBSA analyses supported these findings, showing that p-coumaric acid had the strongest binding to α-glucosidase (–7.783 kcal/mol, ΔG = –47.76 kcal/mol), stabilized by key interactions with Asp-62, Arg-200, His-332, and Arg-400. A 250 ns molecular dynamics simulation confirmed the stability of the complex, and in silico ADME analysis revealed good oral absorption (67%) and compliance with Lipinski’s rule. Overall, results indicate that p-coumaric acid is the primary bioactive compound contributing to the antioxidant and α-glucosidase inhibitory activity of B. aspera, with promising potential as a natural lead for α-glucosidase inhibition.
- MakaleYalnız künye2026Scopus SJRQ4Smart logistics with a maturity assessment perspective
Göçmen Polat, Elifcan; Derse, Onur
The logistics sector is influenced by digitalisation and technological advancement in improving sustainability and efficiency. Logistics companies, which are highly capable of incorporating innovative technologies into their business flows, have made profound impacts, ultimately leading to a transformation in logistics services. In this context, this study presents the current and target maturity levels to make an international logistics company smarter and provides recommendations as an improvement road map for the logistics sector. Within the scope of this research, nine dimensions and 36 maturity items of the smart logistics (SL) concept are discussed to assess the maturity levels using the weighted maturity score calculation model (WMSC), in which evaluation of all maturity items using the capability maturity model (CMM) maturity levels and calculation of the criteria weights using fuzzy DEMATEL (F-DEMATEL) is integrated. Computational results show that warehouse management systems and material flow control systems have lower maturity levels. Thus, product picking by voice, integrating the warehouse management system, ensures real-time updates and data integration, reducing stockouts and overstock.
- MakaleAçık Erişim2026Scopus SJRQ4The microbiological and sensory quality of fish (Cyprinus carpio) meatballs prepared with different essential oils; [La calidad microbiológica y sensorial de las albóndigas de pescado (Cyprinus carpio) elaboradas con diferentes aceites esenciales]
KARATON-KUZGUN, Nermin; ȘAHÎN, Seher
In this study, the shelf life of fish meatballs made from common carp (Cyprinus carpio) and flavoured with lemon, ginger and mint essential oils was investigated under refrigeration conditions (4 ± 1 °C). In the study, fish mince obtained from common carp was mixed with breadcrumbs, cumin, salt, black pepper, allspice, garlic powder, sweet paprika and sunflower oil to form the experimental control group, whilst the remaining fish mince was mixed with essential oils to form four different groups. The fish meatballs were stored under refrigeration conditions, and microbiological and sensory analyses were conducted on the analysis days. As a result of these analyses, the shelf life of the fish meatballs was determined to be 20 days. Microbiologically, the limit value (6 log CFU/g) for total mesophilic aerobic bacteria was exceeded in Group control patty samples on the 10th day of storage, in Group ginger and mint patty samples on the 15th day, and in Group lemon patty samples on the 20th day. The evaluation of sensory analyses also revealed that the group of fish cake samples receiving the highest sensory approval was the group to which lemon essential oil had been added. It was concluded that offering fish-based meatballs created by adding essential oils which are natural additives in a variety of flavours would broaden the product range, further encourage consumption, and contribute to the shelf life of the resulting products.
- MakaleAçık Erişim2026Scopus SJRQ2Comparative Microstructural, Mechanical, and Tribological Evaluation of Cu Matrix Composites Reinforced with B4C, B, Cr, Co, Al2O3, and Graphite via Powder Metallurgy
Macit, Cevher Kursat; Gürgenç, Turan; Aksakal, Bunyamin; Aslan, Naim
Copper and its alloys are widely used in electrical, automotive, aerospace, and energy applications because of their excellent thermal and electrical conductivity. However, the low hardness and poor wear resistance of pure Cu limit its use under tribologically demanding sliding conditions. In this study, Cu matrix composites reinforced with 1 wt.% boron carbide (B4C), boron (B), chromium (Cr), cobalt (Co), alumina (Al2O3), and graphite (Gr) were fabricated by powder metallurgy and comparatively evaluated under identical processing and testing conditions. Phase constitution and microstructural characteristics were analyzed by XRD, SEM, and EDS, while mechanical and tribological behavior was assessed by Vickers hardness and dry sliding wear tests. All reinforcements improved the hardness of the Cu matrix compared with unreinforced Cu. The hardness increase followed the order Cu–B4C (68.91%) > Cu–B (66.43%) > Cu–Gr (63.97%) > Cu–Al2O3 (61.79%) > Cu–Cr (42.69%) > Cu–Co (36.04%). Dry sliding wear tests, performed under a 10 N normal load, 0.05 m s−1 sliding speed, and 1000 m sliding distance against a 316L stainless-steel ball, showed that all reinforced composites exhibited lower mass loss and more stable sliding behavior than pure Cu. Among all samples, Cu–B4C displayed the best wear performance, with a 154.8% improvement in wear resistance relative to pure Cu. SEM analysis of the worn surfaces revealed that reinforcement addition reduced severe plastic deformation, groove formation, and delamination, leading to a more stable wear regime. Graphite- and boron-containing composites benefited from interfacial lubrication and contact stabilization, whereas B4C and Al2O3 improved wear resistance through rigid-particle strengthening and enhanced load-bearing capacity. By comparing ceramic, metalloid, metallic, oxide, and solid-lubricating reinforcements at the same low addition level and under identical processing and testing conditions, this study provides a reinforcement-selection framework for Cu-based composites requiring improved hardness and dry-sliding durability.
AtıfScopus2WoS2OpenAlex2İncele - 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.
AtıfScopus2WoS2OpenAlex2İncele - 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.
AtıfScopus4OpenAlex3
İncele - 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.
AtıfScopus1WoS1OpenAlex3İncele - 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.