Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleYayıncıda açık erişim2025Scopus SJRQ2
    Effect of pre-freezing on motility, viability and abnormality of Nile tilapia fish Oreochromis niloticus sperm post cryopreservation

    Muchlisin, Z.A.; Hasibuan, R.R.; Maulida, S.; Eriani, K.; Fadli, N.; Muhammadar, A.A.; Handayani, L.S.; Suharman, I.; Kocabas, M.; Kocabas, F.K.

    Nile tilapia Oreochromis niloticus is a popular freshwater fish that has been extensively and intensively cultured worldwide. However, cryopreservation of its sperm, especially pre-freezing procedure, has not been properly developed. Therefore, the study aimed to determine the best pre-freezing procedure for cryopreservation of Nile tilapia Oreochromis niloticus sperm. The completely randomized design with five treatments and four replications was employed in this study. The tested treatments were T1=4°C → 0°C →-4°C →-10°C →-79°C →-196°C, T2=4°C→ 0°C →-4°C →-10°C →-196°C, T3=4°C → 0°C →-4°C →-196°C, T4=4°C → 0°C →-196°C), and T5=4°C →-196°C, with a 10 min equilibration at each respective temperature. Furthermore, sperm was cryopreserved for two weeks in liquid nitrogen (-179oC). The results of the ANOVA test showed that pre-freezing had a significant effect on sperm motility, and viability (P<0.05), but had no considerable impact on sperm abnormality (P>0.05). Treatment T4 exhibited higher motility and viability, but these values were not significantly different from T3 and T5. Based on practical consideration, it was recommended to utilize the T5 pre-freezing procedures (4°C →-196°C) for cryopreservation of Nile tilapia sperm. Considering these results, Nile tilapia sperm can be directly cryopreserved into liquid nitrogen after equilibration at 4°C for 10 min.

    • SDG 2 · Açlığa Son
    AtıfScopus1
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2025Scopus SJRQ1
    Flyting versus Karşılaşma: A Comparative Study of Verbal Duelling as a Form of Poetic Competition

    Demir, Ayşegül

    This study compares two traditions of verbal duelling: flyting in Scotland and karşılaşma in Türkiye. Both forms of poetic competition use insults and ridicule to entertain, while displaying the poet’s wit and cultural knowledge. Flyting is characterized by direct insults, while karşılaşma uses indirect, literary language. Despite stylistic differences, these traditions share similar purposes and motivations such as asserting poetic authority, displaying linguistic skill, and reflecting societal values. This article highlights the importance of these traditions in reflecting different cultural values and practices across different contexts.

  • MakaleAçık Erişim2025Scopus SJRQ1
    Incorporating the HPLC-ESI-Q-TOF-MS profiles with the biochemical properties of eight Salvia species

    Llorent-Martínez, Eulogio J.; Nilofar; Sinan, Kouadio Ibrahime; Darendelioglu, Ekrem; Bahsi, Muammer; Polat, Rıdvan; Cakilcioglu, Ugur; Orlando, Giustino; Ferrante, Claudio; Zengin, Gokhan

    Salvia, a widely recognized genus globally esteemed for its traditional and medicinal applications, prompted our investigation into the methanol and water extracts of eight Salvia species native to Turkey. These species included S. aucheri, S. candidissima, S. divaricata, S. virgata, S. multicaulis, S. palestina, S. trichoclada, and S. cerino-pruinosa. Our study aimed to assess their biological properties and chemical composition. Utilizing HPLC-ESI-Q-TOF-MS, we identified chemical constituents in the extracts, while antioxidant (radical quenching, reducing power, and metal chelating) and enzyme inhibitory (amylase, glucosidase, tyrosinase, and cholinesterase) activities were evaluated for biological activities. One hundred thirty-one compounds were characterized in the tested extracts. Although many compounds belonging to different chemical families were identified, the main compounds in all the extracts were rosmarinic and sagerinic acids, along with several salvianolic acid isomers. Notably, the methanol extracts displayed superior antioxidant properties overall, with S. cerino-pruinosa exhibiting the highest activity among them, except for metal chelating. Similar to the antioxidant test results, the methanol extracts were more active than the water extracts in the enzyme inhibition tests. Multivariate analysis further highlighted the distinctiveness of the water extract of S. cerino-pruinosa. In conclusion, our findings underscore the biopharmaceutical potential of the tested Salvia species, suggesting their significance as sources of bioactive agents for health-promoting applications.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus17OpenAlex15
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2025Scopus SJRQ1
    Does a university degree matter for wives? Investigating the relationship between husbands’ socioeconomic resources and wives’ labour force participation

    Acar, Sedat

    The labour market engagement of women in traditionally oriented societies is frequently constrained by their husbands’ socioeconomic resources. The rise in women’s educational attainment plays a pivotal role in reshaping the gender-based division of labour and enhancing their labour force participation. Drawing on nationally representative cross-sectional data from the Turkish Income and Living Conditions Survey (2006–2022; N = 136,874), this study examines the moderating role of wives’ educational attainment in the association between husbands’ socioeconomic resources (income and education) and wives’ labour force participation. The interaction model reveals that the probability of labour force participation is higher for wives with university-educated husbands only among those who are university-educated themselves; in contrast, participation rates decline for non-university-educated wives. Among university-educated wives, labour force participation is markedly higher in educationally homogamous marriages than in hypogamous marriages. While the negative income effect attributed to husbands persists across both educational strata of wives, its magnitude is significantly attenuated among university-educated wives. These findings indicate that in Turkey, a university degree serves as a critical mechanism for married women to circumvent economic and cultural barriers to labour force participation, with homogamous marital unions further facilitating their engagement.

    • SDG 5 · Toplumsal Cinsiyet Eşitliği
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 10 · Eşitsizliklerin Azaltılması
  • MakaleAçık Erişim2025Scopus SJRQ2
    Farm-Raised Versus Wild Caught Fish: Which is Better?

    Can, Erkan; Özçiçek, Esin; Erol, Nida Demirtaş; Austin, Brian

    There has been much discussion about which is better, farmed (= aquaculture) or wild-caught fish (= capture-fisheries), with supporters and opponents of both approaches. On balance, aquaculture should be the better option because of the ability to control all aspects of production. The result is that farmed products are often cheaper than wild-caught equivalents. However, there are negative aspects to aquaculture, including habitat destruction, for example the removal of mangroves for the construction of shrimp farms, the effect of escapees on native fish populations, and the possible negative impact of pollution from organic material, pathogens and antimicrobial compounds. The use of wild-caught “trash” fish as a source of protein and oil for the diets of carnivorous fish species in aquaculture is unsustainable. In contrast with wild-caught fish, there is greater variability in supply because of overfishing, quotas imposed by governments, and the effects of adverse weather. Moreover, fishing in distant waters is expensive and hazardous. Certainly, the quality of the product is more difficult to control because the history of the catch is largely unknown. However, there are concerns about illegal fishing activities, and the capture of undersized specimens which impacts negatively on future stocking levels. For the forseeable future, there will be roles for both aquaculture and capture-fisheries to meet the increasing global demand for aquatic food.

    • SDG 2 · Açlığa Son
    • SDG 12 · Sorumlu Üretim ve Tüketim
    • SDG 14 · Sudaki Yaşam
    AtıfScopus5WoS5OpenAlex5
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2025Scopus SJRQ2
    Tailoring ZrWNb-Based Refractory High Entropy Alloys: A Multidirectional Characterization Through Elemental, Physical, Thermodynamic, and Nuclear Radiation Attenuation Properties

    Güler, Ömer; Özkul, İskender; Almisned, Ghada; Sen Baykal, Duygu; Alkarrani, Hessa; Kilic, G.; Mesbahi, A.; Tekin, H.O.

    This study explores the development and characterization of 18 novel ZrWNb[(X)(Y)] (where XY are Hf, Ta, Mo, V, Ti) refractory high entropy alloys (RHEAs) designed to enhance mechanical robustness, thermodynamic stability, and radiation shielding effectiveness. Through a rigorous analysis, we evaluated the elastic modulus, entropy, and enthalpy of mixing, atomic size difference, valence electron concentration, and the omega parameter to understand the alloys’ phase behavior and structural integrity. Our findings revealed a broad range of elastic modulus values, indicating diverse mechanical adaptability suitable for high-stress applications. The thermodynamic assessment highlighted several RHEAs with favorable phase stability, particularly ZrWNbTaHf and ZrWNbTiTaHf, which are poised for high-performance usage due to their balanced mixing entropy and enthalpy. This study also benchmarks the RHEAs against conventional alloys, with sample R1 exhibiting the lowest fast neutron effective removal cross section, underscoring its superior neutron shielding capabilities. Additionally, R1 demonstrated exceptional photon attenuation, as evidenced by its competitive half-value layer performance across an extensive energy spectrum. Collectively, these results position R1 as a standout candidate, offering a significant advancement in materials science for applications demanding stringent radiation shielding, such as in nuclear reactor environments and space exploration.

    AtıfScopus4OpenAlex5
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ2
    Dual-effect of Holmium(III) oxide and Boron Carbide reinforcement on physical, microstructural evolution and gamma-ray shielding performance of 316L-SS

    Yayla, Nihal; Albayrak, M. Gökhan; Güler, Ömer; Almisned, Ghada; Sen Baykal, Duygu; Alkarrani, Hessa; Kilic, Gokhan; Tekin, Huseyin Ozan

    This study provides one of the first comprehensive evaluations of 316L stainless steel composites reinforced with 10 wt.% B4C and varying concentrations of Ho2O3, proposing a new compositional design for simultaneous structural enhancement and dual gamma-neutron shielding optimization. XRD analysis confirmed the predominance of the austenitic phase with minor martensitic peaks at higher Ho2O3levels. SEM and EDX results revealed uniform dispersion and improved densification with increasing oxide content. The 316L-B4C-20%Ho2O3composite exhibited the highest mass attenuation coefficient (0.8953 cm2/g) and linear attenuation coefficient (6.73 cm−1) at 0.1 MeV, demonstrating superior gamma-ray shielding capability. The effective electron density increased from 2.86 × 1023to 5.82 × 1023electrons/cm³, while the energy absorption buildup factor (EABF) showed a consistent decrease with higher oxide concentrations. Although a slight reduction in fast neutron removal cross-section was observed, the composite maintained satisfactory neutron attenuation performance. Overall, the findings indicate that the 316L-B4C-20%Ho2O3system offers a promising balance between structural stability and dual radiation protection, making it a strong candidate for next-generation nuclear shielding materials.

    AtıfScopus1
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2025Scopus SJRQ2
    Studies on the improvement of thermal, dielectric and optical properties of poly(2,2,2-trifluoroethyl methacrylate) by the addition of graphite oxide as fillers

    Barim, Esra

    In this study, poly(2,2,2-trifluoroethyl methacrylate) homopolymer (PTFEMA) was synthesized via free radical polymerization method, and its composites with graphite oxide (GO) were prepared to improve its dielectric and thermal properties. Thermogravimetric evaluation revealed that graphite oxide acts to limit thermal diffusion throughout the PTFEMA loaded graphite oxide (GO) composite, and hence, thermal stability of composites improved. While the initial decomposition temperature of pure PTFEMA was found to be 233°C from thermogravimetric analysis measurements, the initial decomposition temperature of PTFEMA containing 5 wt% graphite oxide was found to be 251°C. The glass transition temperatures of the composites increased from 76°C to 86°C due to the increase in the amount of graphite oxide added to PTFEMA. The dielectric properties of composites were investigated from 100 Hz to 10 kHz for different temperatures. While the dielectric constant, ε′, of pure PTFEMA at 1 kHz at room temperature was found to be 3.00, that of the PTFEMA containing 5 wt% GO was found 10.32. Therefore, graphite oxide doped PTFEMA composites may be suitable candidates for energy storage applications. The dc conductivity and dielectric loss factor of PTFEMA containing 5 wt% graphite oxide were seen to increase with temperature.

    AtıfScopus1OpenAlex1
    Scopusİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    Evaluation of the seismic response of reinforced concrete buildings in the light of lessons learned from the February 6, 2023, Kahramanmaraş, Türkiye earthquake sequences

    Yön, Burak; Dedeoğlu, İbrahim Özgür; Yetkin, Musa; Erkek, Hakan; Calayır, Yusuf

    On 6 February 2023, two significant seismic events occurred in the southeastern region of Türkiye. The seismic activity, which was perceptible in numerous countries beyond Türkiye, resulted in a considerable number of fatalities. A considerable number of individuals lost their lives and were rendered homeless as a result of the disaster. Two of the most significant factors contributing to the occurrence of these tragedies are the magnitude of the earthquake and structural deficiencies. The present study is concerned with a detailed analysis of these two factors. This study initially considers the seismicity of the region where the earthquakes that occurred on 6 February 2023 took place, as well as the seismic characteristics of these earthquakes. Subsequently, the findings of the field studies conducted in Hatay, Adıyaman, Kahramanmaraş and Malatya, the cities where the earthquakes caused the most destruction, are presented. The objective of the field study is to ascertain the collapse patterns, structural damages and the factors influencing these damages in reinforced concrete structures in the region. The primary causes of damage to structures can be attributed to several factors, including the presence of a strong beam-weak column mechanism, the soft story-weak story mechanism, the pounding effect, the short column damage, the long cantilever and overhangs, the short beam damage, the buckling damage, the torsion effect, the quality of the materials, the insufficient transverse reinforcement, the compressive failure due to over-reinforcement, the corrosion effect, the damage to reinforced concrete shear walls, the infill wall damage, and the damage caused by the soil and foundation system. These causes have been evaluated and recommendations have been formulated to prevent structural damage.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    AtıfScopus55WoS50OpenAlex61
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2025Scopus SJRQ4
    Deep learning-based hybrid traffic flow prediction model for freight transport

    Utku, Anıl; Kaya, Sema Kayapinar; Can, Umit

    Urban freight transportation is crucial to sustaining domestic and international trade and fulfilling the regular requirements of community companies and customers. Therefore, this study developed an efficient convolutional neural network (CNN) and long short-term memory (LSTM) based hybrid deep learning model for predicting traffic flow in freight transportation. The number of freight trucks that would travel along 663 Street in Anderlecht, Belgium, and their average speed was predicted. The created model was compared with support vector machine (SVM), linear regression (LR), multilayer perceptron (MLP), random forest (RF), LSTM, and CNN using the success measures. The critical finding of this study is that combining the feature extraction ability of the 1D CNN model with the learning ability of the LSTM model from multivariate traffic data increases the traffic density prediction success compared to other traditional methods. Based on the results of the experiments, the CNN-LSTM model outperformed all the other models employed in this study. With this model, freight density can be successfully predicted, assisting in planning freight transport activities.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleAçık Erişim2025Scopus SJRQ1
    Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches

    Yilmaz, Mehmet; Yalcin, Erkut; Demir, Fatih; Ozdemir, Ahmet Munir; Atar, Muhammed; Gunes, Aysegul; Furtana Yalcin, Beyza; Cambay, Ertugrul

    This study develops a deep learning-based automated system for detecting and segmenting earthquake-induced asphalt cracks, offering a rapid and reliable solution for post-disaster road condition assessments. Unlike traditional manual inspections, which are time-consuming and error-prone, our approach leverages advanced segmentation techniques to ensure accurate, pixel-level classification of various crack types. The main challenge of this study was determining the damage caused to highways by earthquakes with magnitudes greater than 7.0, which occur approximately once every 200 years. The most crucial step in the automatic detection of these damages is the reliable preparation of a high-accuracy dataset. To achieve this, pixel-based labels were created by experts in the construction field by analyzing each pixel value. Following two major earthquakes, a unique dataset for segmenting roadway deterioration was created through intensive and detailed studies. This study aims to present the performance results of popular deep learning-based segmentation models in an unbiased manner, providing a feasible infrastructure for future real-time applications. The innovative aspect of this research lies in the creation of a unique post-earthquake dataset, collected and labeled from highways affected by the February 6, 2023 earthquakes in Turkey (Mw = 7.7 and Mw = 7.6). Deep learning models, including SegNet, Attention SegNet, U-Net, FCN (8s), and DeepLab, were trained and tested on this dataset. Among these, the SegNet model achieved the best performance with an average accuracy of 86.72%, precision of 92.99%, and sensitivity of 78.45%. By demonstrating superior performance metrics compared to existing methods, this study provides a robust framework for future infrastructure monitoring and maintenance strategies, ensuring safer and more resilient transportation networks in disaster-prone regions.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    AtıfScopus6OpenAlex4
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ2
    Forecasting daily natural gas consumption with regression, time series and machine learning based methods

    Yucesan, Melih; Pekel, Engin; Celik, Erkan; Gul, Muhammet; Serin, Faruk

    An effective short-term natural gas forecasting method contributes to social contributions and allows industrial chain elements to function effectively and minimize economic losses. We dealt with a comparative framework on the applicability of different methods in daily natural gas service (NGS) consumption forecasting. In this context, time series, machine learning, evolutionary and population-based approaches, and their hybrid versions are applied to the NGS data. Hybridized approaches are tested in the scope of NGS consumption forecasting for the first time in the literature in this study. The case of Turkey is handled, and its NGS data is used to demonstrate the comparative framework’s applicability. The comparative study is assessed in the lights of common forecasting accuracy measures of mean absolute percentage error (MAPE), R-squared (R2), and mean squared error (MSE). According to each method’s results, the seasonal autoregressive integrated moving average with exogenous regressors (SARIMAX) and artificial neural network (ANN) hybrid model provides the most dominant performance with respect to MAPE. The lowest error was obtained with a MAPE value of 0.357 in this hybrid model constructed under seven neurons in its ANN structure. This model is followed by another hybrid model, autoregressive integrated moving average (ARIMA)-ANN, with a MAPE value of 0.5 under nine neurons in terms of accuracy performance. The worst performance value belongs to the Genetic algorithm-ANN hybrid model with a MAPE value of approximately 26%.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 13 · İklim Eylemi
    AtıfScopus16WoS19OpenAlex22
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2025Scopus SJRQ4
    Bioaccumulation of copper by Gammarus pulex (L., 1758): monitoring through a statistical modelling approach

    Pala, Aysegul; Ince, Muharrem; Serdar, Osman

    The aim of this study is to test freshwater gammarids as ecotoxicological biomarkers. Gammarids were collected from fresh water and adapted to the laboratory environment. Then, the influence of various variables was investigated. For monitoring and detecting the bioaccumulation level in Gammarus pulex exposed to controlled copper ions and to evaluate potential human and ecological risks, the use of G. pulex as sentinel indicators of water quality is one rational approach. Copper bioaccumulation rate and fate are currently not sufficiently studied. For optimization, the experimental conditions to ensure bioaccumulation level and to find the effects of various variables on proses, a Box–Behnken experimental design was performed. Used mentioned model with statistical underpinnings for Cu2+ ions bioaccumulation have been analyzed, tested and verified and the viability of G. pulex as a biomonitor. The variables’ optimum levels (temperature; 18.1, pH; 4.3, initial concentration of Cu2+ ions, mg L−1; 11.2 and exposure time, h; 42.2) were achieved by employing the quadratic regression model. Critical role of G. pulex in freshwater biomonitoring and their potential to be evaluated as biomarkers for Cu2+ ions was confirmed. It was also explored to see if G. pulex may serve as a potential tool for estimating aquatic quality.

    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfScopus1WoS1OpenAlex1
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ4
    Protective effect of Momordica charantia against Hepatorenal toxicity induced by Potassium bromate (KBrO3) in rats; [Efecto protector de Momordica charantia contra la toxicidad hepatorrenal inducida por el bromato de potasio (KBrO3) en ratas]

    Karagözoğlu, Fatma; Uyar, Ahmet; Akkoyun, Hurrem Turan; Altun, Serdar; Akkoyun, Mahire Bayramoğlu; Aydin, Sevinç; Melek, Sule; Bengü, Aydın Şükrü; Ekin, Suat; Bakir, Ahmet

    This study aims to evaluate the effects of Momordica charantia on hepatorenal toxicity caused by potassium bromate (KBrO3) in rats. Wistar rats were divided into 4 groups as control, KBrO3, bitter melon (MC), and KBrO3+MC. Examining the antioxidant enzyme grade of the kidney tissues, it was found that the enzyme activities of catalase (CAT) (P<0.05), glutathione peroxidase (GSH–Px) (P<0.01), and superoxide dismutase (SOD) (P<0.01) decreased in the KBrO3 group in comparison to the control. There was a significant decrease (P<0.001) in glutathione (GSH) levels and an increase (P<0.01) in malondialdehyde (MDA) level in the KBrO3 group in comparison to the control. Examining the antioxidant enzyme activities in liver tissue, it was determined that CAT, GSH–Px, and SOD enzymes reduced significantly (P<0.05, P<0.01, and P<0.001, respectively) in the KBrO3 group in comparison to the control, and the enzyme activity of decreased CAT, GSH–Px, and SOD enzymes significantly elevated (P<0.01) in the MC group. There was a reduction in GSH level in the KBrO3 group in comparison to the control (P<0.01), while an increase was recorded in the KBrO3+MC group (P<0.05). MDA level in liver tissue increased in KBrO3 group in comparison to the control (P<0.01) and MC decreased the MDA level. Histopathological analysis results indicate severe degenerative and necrotic lesions in hepatorenal histoarchitecture of KBrO3 rats in comparison to the control. However, application of MC+KBrO3 significantly reduced the induced hepatorenal injury with a concomitant increase in histopathological lesions. From the immunohistochemical aspect, MC revealed apoptosis concomitant with the suppression of necrosis in the KBrO3-treated rats as demonstrated by the caspase-3 activity.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfOpenAlex1
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    The effect of 12 weeks of basic soccer training on violence tendency, psychological resilience, social anxiety in 12–14 years old children

    Özcan, Büşra; Çelikel, Baha Engin; Erdoǧan, Ramazan; Karadaǧ, Mustafa; Aydoǧdu, Volkan; Uǧurlu, Fatih Mehmet; Bozkurt, Eyüp; Turan, Mehmet; Koçal, Meryem; Orhan, Serdar

    Background: Regular exercise during childhood impacts not only physical development but also emotional stability, social adaptation, and behavioral control. Therefore, the present study aimed to examine the effects of a 12-week introductory football training programme on violent tendencies, psychological resilience, and social appearance anxiety in children aged 12–14. Methods: A randomized controlled design was used, with 40 children assigned to an experimental group (n = 20) or a control group (n = 20). The experimental group completed 60-min football sessions three times a week, while the control group did not participate in structured activity. The program included a 20-min warm-up, technical and tactical exercises, game-based activities, and a cool-down, targeting physical, technical, tactical, and psychosocial development. Data were collected using the VTS, PRS, and SAAS scales.Statistical analyses were performed using SPSS version 25 (IBM Corp., Armonk, NY, USA), with mixed-design ANOVA, significance set at p < 0.05, and effect sizes reported as partial eta-squared (ηp2). Results: No significant difference was observed in violence tendency scores in the experimental group (p = 0.939). However, a decrease was observed in psychological resilience scores in comparison to pre-test values, and this decrease approached the threshold of significance with a medium effect size (p = 0.153, ηp2 = 0.053). This finding suggests that the intervention may have a limited effect on psychological resilience. While no significant change was detected in the social appearance anxiety variable in the experimental group (p = 0.120), a significant decrease in anxiety levels was observed in the control group (p = 0.029). This finding suggests that factors other than the experimental intervention may have been effective in the control group. Conclusions: In conclusion, the 12-week football training programme demonstrated no significant short-term effect on violent tendencies or social appearance concerns, but may have a temporary effect on psychological resilience. The findings indicate that the impact of sports participation on psychosocial development in children is multifaceted and contingent on individual differences.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus3OpenAlex4
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    Investigating the relationship between digital citizenship levels and cyberbullying attitudes of university students

    Karayol, Metin; Murathan, Talha; Erdoğan, Ramazan; Akarsu, Mehmet; Baş, Muhammet; Norman, Göktuğ

    Background: This study examines the relationship between the levels of digital citizenship and attitudes toward cyberbullying among prospective physical education and sports teachers. Methods: This quantitative study adopted the relational survey model within its research framework. The sample consists of prospective physical education and sports teachers who studied in the Physical Education and Sports Teaching departments at universities during the 2022–23 academic year. The sample was determined using the convenience sampling method. The sample was administered a personal information form created by the researchers, as well as the Digital Citizenship Scale and the Cyberbullying Attitude Scale. Results: According to the MANOVA results for the Digital Citizenship and Cyberbullying Attitude scales, significant differences were found in the Digital Law, Digital Rights and Responsibilities, Approval and Anxiety subscales based on gender. However, the Pearson correlation analysis revealed no significant relationship between age and the subscales of the Digital Citizenship and Cyberbullying Attitude scales. However, the Pearson correlation analysis of the Digital Citizenship and Cyberbullying Attitude subscales revealed significant positive and negative relationships. Conclusion: The results of the path analysis of the digital citizenship scale and its subscales (identity concealment, enjoyment, approval and anxiety) showed that digital citizenship significantly predicted identity concealment, enjoyment, approval and anxiety.

    • SDG 4 · Nitelikli Eğitim
    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
    AtıfScopus2OpenAlex1
    ScopusPubMedİncele
  • MakaleYalnız künye2025Scopus SJRQ3
    Assessments of heavy metal contaminations of surface water and sediment of Pülümür Stream (Türkiye)

    Kutlu, Banu; Çevik, Fatma; Çetindağ, Serdar

    The primary considerations within aquatic ecosystems are water and sediment quality, rendering it imperative to assess their concentrations, pollution levels, origins, and ecological hazards. In this study, heavy metal concentrations in surface waters and sediments of the Pülümür Stream were investigated to assess the level, distribution, source of pollution and the associated human risks. Water and sediment samples from the river were collected monthly from February 2021 to January 2022 and examined using the Inductively Coupled Plasma Mass Spectrometry (ICP– MS) technique. Metal concentrations in the sediment followed a decreasing or derivative sequence of Fe > Al > Mn > Ni > Cr > Zn > Cu > Pb > As >Cd > Hg. The ecological indices of the stream water have low degrees of contamination by heavy metals. Igeo and EF showed that most of the sites are moderately to highly polluted due to Ni, and Cr, while PLI and PERI showed a progressive deterioration of the environment at site 9. Moreover, the modified hazard quotient (mHQ) indicates low ecological risk for Cu, Pb, Zn, Cd, Hg metals, while Ni, As and Cr reach high pollution at sediment sites. Pearson correlation analysis revealed that the presence of Zn, Cu, Pb, Hg, and Mn metals in the sediment analysis has a lithogenic source, and As, Ni, Cd, and Cr accumulate due to human activities, mainly domestic and agricultural irrigation wastes and mining wastes, all of which affect the aquatic environment. According to this study, more attention should be paid to the comprehensive monitoring of metals in the water and sediment for both aquatic biota and human risk of the Pülümür River.

    • SDG 6 · Temiz Su ve Sanitasyon
    AtıfScopus6WoS5OpenAlex5
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2025Scopus SJRQ1
    New testimony for local elites in Sophene during the Hellenistic period: Rabat Fortress and its Middle Aramaic inscription in a rocky landscape

    Danışmaz, Harun; Adalı, Selim Ferruh; Şahin, Özgür

    This study is concerned with the evaluation of a recently discovered Aramaic inscription and other archaeological remains found at Rabat Fortress (in Tunceli, Türkiye). The Hellenistic period Aramaic funerary text was composed in memory of a local lord from Sophene’s local political elite, with connections to the Orontid dynasty. This is the first known local Aramaic inscription from Sophene. The Aramaic inscription introduced in this study provides significant new information about the Hellenistic-period context for rock-cut stepped tunnels and single-roomed rock-cut tombs known across eastern Anatolia. The Rabat Fortress site provides corroborating evidence for the dating of the stepped tunnels that exhibit the same rock-cutting techniques in the same region to the Hellenistic and later periods in the rocky landscape. The inscription is rendered in a unique Sophene adaptation of the Middle Aramaic script extant on a corner block inside the Fortress. Its funerary context in rocky landscape and the inscription’s script and content indicate that the local elite at Rabat Fortress used Aramaic, and the notion of Orontid lineage to connect with the kingdom of Sophene’s central authority, which positioned itself between Hellenistic and Iranian traditions.

  • MakaleAçık Erişim2025Scopus SJRQ2
    Effects of inspiratory muscle training on 1RM performance and body composition in professional natural bodybuilders

    Çelikel, Baha Engin; Yılmaz, Coşkun; Demir, Alper; Sezer, Süreyya Yonca; Ceylan, Levent; Ceylan, Tülay; Tan, Çetin

    Background: The effect of inspiratory muscle training on upper limbs One Rep Maximum (1RM) in professional natural bodybuilders is still unclear. Our aim of this study is to investigate the effects of a 6 weeks inspiratory muscle training on 1RM results. Methods: This study included 14 athletes, that had participated in international bodybuilding competitions. Each athlete had been training for minimum of 5 years and at least 5 h per week. The participants were randomly divided into two groups: inspiratory muscle training (IMT) and control (CON) groups. The IMT group and CON group consisted of seven subjects. While the control group continued with the normal training regime, the IMT group additionally performed inspiratory muscle training with the resistance setting of the PowerBreathe® Classic device set to 40% of the participant’s MIP. Prior to and during the 6-week training period, the bench press 1 RM, anthropometry, pulmonary function tests, and maximal inspiratory (MIP) and expiratory (MEP) pressure measurements were obtained. A nutrition protocol developed by a qualified dietician was implemented for each athlete. Results: The mean maximal strength of the respiratory muscle training group changed by 14.39%, whereas that of the control group changed by 9.43% (p = 0.012). The changes in the mean FVC (p = 0.000), FEV1 (p = 0.001), PEF (p = 0.064), MIP (p = 0.001), and maximal expiratory pressure (p = 0.017) were greater in the IMT group. The mean circumferences of the shoulder (p = 0.004), chest (p = 0.008), arm (p = 0.004), and neck (p = 0.003) improved more in the IMT group than in the CON group. A reduction in abdominal measurement was observed in the IMT group (p = 0.039), whereas no notable discrepancy was identified in body fat percentage (p = 0.295). Conclusion: In conclusion we identified that the addition of progressive loading inspiratory muscle training for competition preparation programs in professional natural bodybuilders will further improve their respiratory function, respiratory muscle strength, maximal strength, and muscle development. This research provides valuable insights into how IMT influences bodybuilding training outcomes, potentially guiding future interventions and program designs to better support strength development and body composition in bodybuilding training contexts.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus12OpenAlex14
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    Examining the levels of awareness, anxiety, and hope regarding global climate change among university students participating in activities at youth offices

    Yildiz, Metin

    Background: Climate change is one of the most significant issues of today. This study aims to investigate climate change awareness, anxiety, and hope levels among university students who participate in activities at youth offices and examine the relationship between them. Methods: The study population consisted of student members who were actively engaged in Youth Offices located within four public universities in the Eastern Anatolia Region of Türkiye. The study sample includes 881 volunteer participants, consisting of 345 (39.2%) male and 536 (60.8%) female students. The data were analyzed employing IBM SPSS 25. Statistical analyses included the independent samples t-test, one-way ANOVA, Tukey’s post-hoc test, and Pearson’s correlation coefficient. Results: The results indicate that university students have moderate levels of climate change awareness, anxiety, and hope. A positive correlation was observed, wherein higher awareness levels were associated with increased anxiety and hope. Male students demonstrated higher awareness and anxiety levels than female students. Among participants, students from 1. University exhibited the highest levels of climate change awareness, anxiety, and hope. Additionally, graduate students and individuals living in rural areas showed higher awareness and anxiety levels, whereas individuals with better economic conditions exhibited lower anxiety and hope levels. Conclusion: Given these results, it is recommended that universities develop and implement educational programs to enhance climate change awareness and extend these initiatives across campuses.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 4 · Nitelikli Eğitim
    • SDG 13 · İklim Eylemi