Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(82)
- Akkurt, Nevzat(67)
- Güler, Ömer(66)
- Baskonus, Haci Mehmet(62)
- Bulut, Hasan(60)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Yucesan, Melih(43)
- Yildirim, Numan(42)
- Yildirim, Nuran Cikcikoglu(38)
- Paksoy, Mehmet Yavuz(36)
- Serdar, Osman(36)
- Zengin, Gokhan(36)
- Ince, Muharrem(34)
- Celik, Erkan(33)
- Benzer, Fulya(32)
- Kocabaş, Mehmet(30)
- Sulaiman, Tukur Abdulkadir(30)
- Tanyol, Mehtap(29)
- Yildirim, Ozal(28)
- Aslan, Naim(26)
- Kök, Mediha(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Danabas, Durali(25)
- Kutluyer, Filiz(25)
- Can, Erkan(24)
- Kutlu, Banu(23)
- Onat, Onur(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Güler, Seval Hale(21)
- Yaman, Mehmet(21)
- Baykal, Duygu Sen(20)
- Sançar, Taylan(20)
- Susam, Selim Orhun(20)
- Cakilcioglu, Ugur(19)
- Orhan, Cemal(19)
Yayınlar
- 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.
- 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.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Affective States of Academics: The Dissolving Fantasy of the ‘Good Academy’
Gülçiçek, Demet; Erdoğan, Emine
Drawing on the affective trajectories of academics in social science and humanities departments, this article asks how they imagine a ‘good academy’ and how they navigate the tension between that imagination and the demands of contemporary university regulations. Based on sixteen in-depth interviews with early-career researchers in Ankara, Turkey, it traces how academics narrate their affective relationship with the academy. Bringing together Berlant's conceptualisation of cruel optimism and Ngai's analysis of low-key affective states such as ugly feelings, the article shows that the attachment to the good academy is narrated as something that obstructs flourishing due to the institutional demands in higher education. This in-betweenness is analysed in relation to loosening attachment to the academy that is produced by a mood of irritation.
- MakaleYalnız künye2026Scopus SJRQ3Green revolution in nanotechnology: phytogenic CuO nanoparticles for biomedical and pharmaceutical applications
Ceylan, Yusuf; Korkmaz, Nesrin; Kaçan, Fatma N.; Aydin, Ali; Korkmaz, Şengül A.; Yildirim, Ebru Ş.
Copper oxide nanoparticles (CuO NPs) were synthesized using a green approach with Vitis vinifera L. extract, a plant rich in secondary metabolites that act as natural reducing agents. The obtained CuO NPs were characterized by XRD, EDX, and STEM analyses. FT-IR analysis revealed the presence of functional groups originating from plant biomolecules and confirmed the formation of Cu–O bonds, indicating the successful synthesis and stabilization of CuO NPs. XRD confirmed distinctive CuO diffraction peaks at 32.38°, 35.35°, 38.61°, 40.75°, 48.79°, 51.90°, 57.66°, 61.38°, 65.94°, and 75.12°. STEM imaging showed predominantly spherical, well-dispersed nanoparticles with an average size of 23–38 nm. Antibacterial analysis revealed a minimum inhibitory concentration (MIC) of 4 µg mL−1 against Escherichia coli ATCC 25922. In anticancer assays, the CuO NPs demonstrated notable cytotoxicity at both low concentrations and even at levels below the control group in A549, Calu-1, and Saos-2 cancer cell lines, highlighting their strong biomedical potential.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Design of Fe–35Ni/PCL nanocomposites with coupled magnetic and shape memory properties
Kök, Mediha; Çirak, Z Deniz; Aydin, Handan; Coşkun, Meltem
In this study, poly(ϵ-caprolactone) (PCL)-based nanocomposite films reinforced with a Fe–35%Ni alloy, which possesses a low coefficient of thermal expansion and distinct magnetic properties, were produced. The composites were prepared using the solvent casting method, with the Fe–Ni alloy incorporated into the PCL matrix at different weight ratios (10%–50%). The structural, morphological, thermal, and magnetic properties of the resulting nanocomposites were comprehensively investigated using FTIR (Fourier transform infrared spectroscopy), XRD (X-ray diffraction), SEM (scanning electron microscopy/energy dispersive x-ray spectroscopy), differential scanning calorimetry, TGA (Thermogravimetric analysis) ve (vibrating sample Magnetometry). FTIR results indicated that the Fe–Ni addition does not form chemical bonds with the PCL matrix and that the composite structure is formed through physical interactions. XRD analyses confirmed that the semi-crystalline structure of PCL is preserved and that the Fe–Ni alloy exhibits a face-centered cubic (FCC) crystal structure. SEM images revealed that while a homogeneous distribution is achieved at low doping levels, partial agglomeration occurs at high levels. Thermal analyses showed that Fe–Ni particles increase the degree of crystallization through a nucleation effect and provide a significant increase in melting temperature and crystallinity values, particularly in the 10%–40% range. TGA results revealed that the thermal stability of the composites increased and their decomposition behavior became multi-stage. Magnetic measurements showed that the saturation magnetization increased significantly with increasing Fe–Ni content, and the composites acquired ferromagnetic character. Furthermore, it was determined that the developed composites exhibit distinct shape memory behavior and can return to their original form upon thermal stimulation. The findings indicate that Fe–35%Ni-doped PCL nanocomposites are a promising candidate for multifunctional applications due to their enhanced thermal, magnetic, and smart material properties.
- MakaleYalnız künye2026Scopus SJRQ1The Effect of Women’s Menstrual Attitudes and Hygiene Practices on Self-Care Behaviors
Yeyğel, Çiler; Yeşiltepe, Akgün
Objective: While menstrual attitudes and hygiene practices are often examined in the literature through informational, risk-based, and cultural lenses, studies that directly address their holistic relationship to self-care behaviors remain limited. This study aims to investigate the impact of women’s menstrual attitudes and hygiene practices on their self-care behaviors. Methods: This is a cross-sectional analytical study. The study was completed between 5 October 2024 and 23 January 2025, with 700 women aged 18–49 in their reproductive period. Data were collected using a Demographic Information Form, the Menstrual Attitude Questionnaire, and the Self-Care Inventory. Spearman’s correlation analysis, the Mann-Whitney U test, and the Kruskal-Wallis test were used for data analysis. To examine nonlinear relationships and multivariable interactions, a Random Forest regression analysis was performed. Results: A positive and statistically significant relationship was found between menstrual attitudes and overall self-care (r = 0.132, p < 0.001). MAQ scores did not differ significantly across variables (p > 0.05). However, SCI scores showed significant differences based on menstrual hygiene education status, type of underwear used during menstruation, hand hygiene practices, and frequency of menstrual material use (p < 0.05). According to the Random Forest regression model, menstrual attitudes were identified as the strongest predictor of self-care behaviors. Conclusions: The results of this study supported the positive influence of women’s menstrual attitudes and hygiene practices on their self-care behaviors. The relationships between self-care and parameters such as menstrual hygiene education, frequency and type of menstrual material use, and hand hygiene during menstruation were clearly demonstrated. Given the limited number of studies in this field, randomized controlled trials and meta-analyses with high levels of evidence are recommended to generalize these results.
- MakaleAçık Erişim2026Scopus SJRQ1Evaluation and Classification of Emergency and Disaster Assembly Areas with ORESTE-Sort
Ozdemir, Umit; Mete, Suleyman; Gul, Muhammet
Emergency and Disaster Assembly Areas (EDAA) are designated safe zones where basic needs can be met until temporary shelters are established following natural or man-made disasters like floods, fires, earthquakes, explosions, or chemical incidents. Promptly relocating disaster victims to these areas is crucial for minimizing loss of life and facilitating effective search and rescue operations by maintaining an uninterrupted flow of information. To prepare for disasters like earthquakes, which cause significant material and emotional damage to large populations, sustainable disaster management must be ensured to evaluate site suitability, correct deficiencies, and avoid inappropriate locations. This study will examine the evaluation criteria for EDAAs established by the Tunceli Provincial Disaster and Emergency Management Authority (AFAD) in terms of area, structure, security, and accessibility, taking into account the region’s specific characteristics. Based on a literature review, eleven criteria have been proposed and ranked using the Besson mean ranking method. Areas have been classified into four categories (e.g., adequate, not suitable) using the optimistic, pessimistic, and comprise approaches of the Assignment Rule Driven by Attitudes (ARDA) and the ORESTE-Sort method. The examination of 19 EDAA provides two perspectives: an optimistic view that recommends classifying eleven areas as first class and using all areas as they are, and a pessimistic view that calls for urgent improvements in three areas and states that one area (EDAA 1) is deemed unsuitable due to its assignment to class (Formula presented.). It is also advised that the second area should not be used, despite being rated as class (Formula presented.), due to its proximity to the river and its slope characteristics. The study also performs a sensitivity analysis of the method and provides recommendations for future research.
AtıfScopus2WoS1İncele - MakaleYalnız künye2026Scopus SJRQ2Adsorption of Reactive Red 120 dye from aqueous solutions using sepiolite clay with a channel-structured morphology: Mechanism, kinetics, isotherm, and thermodynamic studies
Fırat, Tülay
The effective treatment of dye-containing wastewater remains a major environmental challenge due to the high stability and solubility of reactive dyes. In this study, the adsorption behavior of Reactive Red 120 (RR120), an anionic reactive azo dye, from aqueous solutions was investigated using natural sepiolite clay possessing a channel-structured morphology. Batch adsorption experiments were performed to evaluate the effects of contact time (1–200 min), initial dye concentration (50–500 mg L−1), adsorbent dosage (0.1–1.5 g), solution pH (2–10), and temperature (25–50°C). The adsorption equilibrium was reached within approximately 75 min. The Langmuir isotherm provided the best fit to the equilibrium data, yielding a maximum monolayer adsorption capacity of 168.4 mg g−1 at 298 K. Thermodynamic analysis revealed that the adsorption process was spontaneous and endothermic, with an activation energy of 32.41 kJ mol−1. Adsorption kinetics were analyzed using pseudo-first-order, pseudo-second-order, and intraparticle diffusion models, while equilibrium data were evaluated using Langmuir, Freundlich, and Temkin isotherm models. The kinetic data were best described by the pseudo-second-order model, while thermodynamic analysis revealed that the adsorption process was spontaneous and endothermic. FTIR and XRD analyses further supported the important role of the channel-structured framework of sepiolite in RR120 adsorption. Unlike many clay-based adsorbents that require chemical modification, natural sepiolite exhibited high adsorption performance due to its intrinsic fibrous morphology, nano-channel structure, and high surface area. These findings demonstrate that natural sepiolite is a promising, low-cost, and sustainable adsorbent for the treatment of dye-contaminated wastewater.
- MakaleAçık Erişim2026Scopus SJRQ1The mediating role of problem solving in the relationship between emotional intelligence and mental well-being
Erdoğan, Ramazan; Özcan, Büşra; Kızar, Oktay; Kızılkoca, Mustafa; Çalışır, İrem Kaptangil; Bozkurt, Eyüp; Uğurlu, Fatih Mehmet; Tan, Suriye; Koçal, Meryem
Background: This study aims to examine the relationship between emotional intelligence and mental well-being among university students and to reveal the mediating role of problem-solving skills in this relationship. Methods: Of these students, 707 participated, and the Emotional Intelligence Trait Scale, the Warwick-Edinburgh Psychological Well-being Scale, and the Problem-Solving Inventory were used as data collection tools. The SPSS software was used for data analysis. Results: Emotional intelligence appears to have a significant effect on mental well-being, and emotional intelligence directly significantly predicts problem-solving skills, but mental well-being does not have a significant effect on problem-solving skills. Emotional intelligence appears to have a direct effect on problem-solving, and mental well-being mediates this effect. The explanatory power of the model is moderate in terms of the role of emotional intelligence in predicting mental well-being and more limited in terms of its role in predicting problem-solving skills. Conclusion: In conclusion, emotional intelligence strengthens individuals’ mental well-being and directly positively impacts their problem-solving skills. However, mental well-being does not play a mediating role in the problem-solving process. This suggests that the direct effect of emotional intelligence is primary in improving problem-solving skills, and mental well-being does not serve as a decisive mediating factor in this process. Therefore, interventions aimed at strengthening emotional intelligence can be effective both in enhancing individuals’ mental well-being and in directly supporting problem-solving skills.
- MakaleYalnız künye2026Scopus SJRQ3A new lectin from Amanita vaginata mushroom with potent anti-inflammatory activity
Seliman, Thoiba Mogahid Hussein; Ozsoy, Nurten; Altiparmak-Ulbegi, Gulsum; Alp-Kavlo, Hevidar; Arcan, Gulsah Gamze; Akev, Nuriye; Can, Ayse; Aksoy-Sagirli, Pinar
This study used 80% ammonium sulphate fractional precipitation, followed by affinity chromatography to purify a new lectin (AVL) from the crude extract of the Amanita vaginata mushroom. The purification procedure achieved a 20% yield, a specific activity of 5120 HU/mg protein, and a 16-fold increase in purity. SDS-PAGE analysis showed a single band of 45 kDa. We assessed AVL's anti-inflammatory effect by measuring levels of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2), induced by lipopolysaccharide (LPS), in RAW 264.7 macrophages. Western blot analysis showed that iNOS and COX-2 protein levels were barely detectable in the control groups, but markedly elevated in the LPS-treated groups. However, AVL treatment significantly inhibited the expression of both iNOS and COX-2 in LPS-stimulated cells. This effect was dose-dependent. These findings suggest that AVL's anti-inflammatory effects are mediated through the suppression of iNOS and COX-2 expression.
AtıfScopus2WoS1OpenAlex2İncele - MakaleYalnız künye2026Scopus SJRQ2Influence of infill design on mechanical behavior of PLA-TPU hybrid sandwich beams
Arikan, Volkan; Dogan, Akar; Guler, Serkan
The purpose of this work is to analyze the mechanical behavior of hybrid sandwich beams that were printed using the Fused Deposition Modelling (FDM) technology. These beams were made of Polylactic Acid (PLA) and Thermoplastic Polyurethane (TPU) materials. Standard mechanical tests (ASTM C393 and C365) were utilized in order to assess the impact that several infill patterns (Cubic, Octet, and Trihexagonal) and infill densities (ranging from 15% to 40%) had on the flexural and compression performance of the material. According to the findings, trihexagonal patterns demonstrated improved energy absorption capabilities when subjected to compression, but octet designs offered superior flexural stiffness, particularly in hybrid constructions. According to the findings of tests conducted with hybrid constructions consisting of a TPU core and a PLA surface layer, the effect of infill patterns on component strength is directly influenced by the change in the material character, and it is possible that various materials would exhibit different manifestations of this effect. These findings offer useful information that may be used to optimize lattice geometry and hybridization procedures for the purpose of developing high-performance lightweight structures for engineering applications.
AtıfWoS1OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ1Deep learning-based detection of bowel sound events in continuous recordings
Çelik, Yusuf
Accurate identification of bowel sound events is essential for the long-term and non-invasive monitoring of gastrointestinal activity. In this study, we present a band-aware multi-band deep learning approach that explicitly accounts for the distinct acoustic characteristics of bowel sounds across different frequency ranges by jointly analyzing low- and high-frequency components. The proposed method operates on time–frequency representations extracted from continuous recordings to produce frame-level bowel sound probabilities, which are subsequently integrated into recording-level decisions through a unified decision-making strategy. Despite the pronounced class imbalance in the dataset, the proposed system achieved accuracy levels exceeding 98% at the frame level and 99% at the recording level, yielding stable and consistent outcomes through probability aggregation and temporal smoothing steps. These results indicate that the proposed approach provides a reliable and well-structured framework for bowel sound event detection and establishes a solid methodological basis for the analysis of long-duration recordings.
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