Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kaya, Feridun(2)
- Ozden, Talat(2)
- Akinoglu, Bulent G.(1)
- Alemdag, Selcuk(1)
- Altun, Fatma(1)
- Aykoc, Ayse Muslu(1)
- Baltaci, Cemalettin(1)
- Bingöl, Orhan(1)
- Bozali, Nuri(1)
- CELIK, Ayse(1)
- CELIK, Fatih(1)
- CELIK, Kemal(1)
- Durusoy, Beyza(1)
- Elmastaş, Mahfuz(1)
- Gurocak, Zulfu(1)
- Güngör, Sunay(1)
- Kanik, Mustafa(1)
- Karaalp, Musa(1)
- Kaya, Ayberk(1)
- Kaya, Hacer(1)
- Kaynar, Özgür(1)
- Kayın, Sercan(1)
- Kul, Merve Kalafat(1)
- Köseoğlu, Ali(1)
- Melek, Negin(1)
- Mustafa, Manahil SidAhmed(1)
- Mutairi, Aned Al(1)
- Pandey, M.K.(1)
- Singh, G.N.(1)
- Sivrikaya, Fatih(1)
- Ucuncu, Osman(1)
- Yazıcı Çelebi, Gülin(1)
- Zaman, Tolga(1)
- Çakir, Günay(1)
- Çelebi, Gülin Yazıcı(1)
- İşseven, Turgay(1)
- Şahin, Rıdvan(1)
Yayınlar
- MakaleAçık Erişim2026Serum and hepatic lipid fractions and total protein status of laying hens supplemented with tarragon (Artemisia dracunculus L.) under different stocking densities
Kaya, Hacer; Karaalp, Musa; Kaynar, Özgür; Elmastaş, Mahfuz
High stocking density can induce metabolic disturbances in laying hens, particularly in lipid metabolism. This study evaluated the effects of dietary tarragon (Artemisia dracunculus L.) supplementation on serum and hepatic total protein and lipid parameters in laying hens reared under different stocking densities. A total of 192 50-week-old Lohmann Brown laying hens were assigned to a 2 × 4 factorial arrangement with two stocking densities, 5 or 7 hens per cage, and four dietary tarragon treatments providing 0, 1, 5, or 10 mmol/kg feed of tarragon-derived additional antioxidant activity for 8 weeks. Serum total protein concentration was not affected by stocking density but increased with tarragon supplementation, rising from 7.5 to 8.3 g/dL. Liver total protein concentration remained unchanged. SDS-PAGE analysis of pooled treatment-group samples identified 24 serum and 39 hepatic protein bands. High stocking density altered the serum lipid profile by increasing cholesteryl ester, free fatty acid, and acylglycerol proportions, as well as total cholesterol and triacylglycerol concentrations, while decreasing triacylglycerol and phospholipid proportions. Tarragon supplementation increased serum cholesteryl ester and phospholipid proportions and reduced serum triacylglycerol and free fatty acid proportions, together with lower total cholesterol and triacylglycerol concentrations. In the liver, high stocking density increased cholesteryl ester and free cholesterol proportions and triacylglycerol concentration, whereas it decreased triacylglycerol and phospholipid proportions and total cholesterol concentration. Tarragon supplementation increased hepatic cholesteryl ester, free cholesterol, and phospholipid proportions and reduced hepatic triacylglycerol proportion and concentration. Significant stocking density × tarragon-derived additional antioxidant activity interactions were observed for serum free fatty acid and hepatic free fatty acid and free cholesterol. Overall, stocking density had a stronger effect on lipid metabolism than on total protein status.
- MakaleAçık Erişim2026The mediating effect of self-compassion and cognitive emotion regulation on the relationship between tolerance and social appearance anxiety in adolescents
Bingöl, Orhan; Çelebi, Gülin Yazıcı; Kaya, Feridun
The aim of this study is to examine the effect of tolerance on social appearance anxiety and to test the roles of emotion regulation and self-compassion as mediating psychological mechanisms in this relationship. The sample of the study consists of 647 adolescent individuals living in Turkey. The Personal Information Form, Cognitive Emotion Regulation Questionnaire, Tolerance Scale, Self-Compassion Scale – Short Form, and Social Appearance Anxiety Scale were used in the study. Data were collected online using convenience sampling methods. Pearson correlation analysis was used to determine the relationships between the variables in the study, while regression-based mediation analysis (Process macro model 81) was used to test the mediation model examined in the study. Upon examining the findings, tolerance was positively correlated with self-compassion (r =.323, p <.001) and adaptive cognitive emotion regulation (r =.200, p <.001); while tolerance was negatively and statistically significantly related to maladaptive cognitive emotion regulation (r = -.250, p <.001) and social appearance anxiety (r = -.229, p <.001). Additionally, a positive correlation was found between self-compassion and adaptive cognitive emotion regulation (r =.358, p <.001); and negative and statistically significant relationships between self-compassion and maladaptive cognitive emotion regulation (r = -.576, p <.001) and social appearance anxiety (r = -.530, p <.001). Finally, a statistically significant negative relationship was found between social appearance anxiety and adaptive cognitive emotion regulation (r = -.219, p <.001); and a statistically significant positive relationship was found between social appearance anxiety and maladaptive cognitive emotion regulation (r =.484, p <.001). The mediation analysis, tested with 10,000 bootstrap samples at a 95% confidence interval, revealed that emotion regulation dimensions and self-compassion have a full mediating effect. The findings indicate that the tolerance factor reduces social appearance anxiety not only directly but also indirectly through emotion regulation and self-compassion. In line with these findings, it was concluded that individuals with high tolerance levels need to be supported not only through mindfulness programs but also through emotion regulation and self-compassion levels.
- MakaleAçık Erişim2026Machine learning–enabled ECG arrhythmia classification: a systematic and educational study from signal processing to decision support
Melek, Negin
Electrocardiogram (ECG) signals play a critical role in the early detection of cardiac arrhythmias, which remain a major cause of morbidity and mortality worldwide. While deep learning approaches have achieved high classification accuracy, their increasing complexity often limits interpretability and practical applicability. This study presents a systematic and interpretable framework for multi-class ECG arrhythmia classification, examining the effects of signal processing, feature extraction, feature selection, and evaluation strategies on classification performance. Experiments were conducted on the MIT-BIH Arrhythmia Database using two feature representations: (i) morphological and temporal features, and (ii) a compact wavelet-based representation. Sequential Forward Feature Selection (SFFS) revealed that classification performance saturates at approximately 15 features, indicating that most discriminative information is captured within a compact subset. Using this feature space, the support vector machine (SVM) achieved the best overall performance, reaching 98.54% accuracy with stable results across different configurations. The wavelet-based representation further improved performance balance, yielding lower Golden Distance (GD) values (as low as 0.0249), indicating more consistent behavior across evaluation metrics. Overall, the results demonstrate that carefully designed feature extraction and selection enable classical machine learning methods, particularly SVM, to achieve high and reliable performance, providing an interpretable alternative to more complex black-box models in ECG arrhythmia classification.
- MakaleAçık Erişim2026Physicochemical properties of fifteen flower honey samples from five districts in Türkiye
Ucuncu, Osman; Kul, Merve Kalafat; Baltaci, Cemalettin; Aykoc, Ayse Muslu
This study analyzed the physicochemical characteristics, mineral composition, and antioxidant potential of fifteen floral honey samples collected from five districts of Gümüşhane, Türkiye. The average values for moisture (17.44 g/100 g), insoluble solids (0.04 g/100 g), conductivity (0.35 mS/cm), diastase activity (54.15 DN), free acidity (38.18 meq/kg), and fructose + glucose content (68.95 g/100 g) were mostly within the acceptable limits defined by national honey standards. Proline content ranged from 562.66 to 1466.15 mg/kg, while hydroxymethylfurfural (0.37–18.89 mg/kg) confirmed the freshness of all samples. Potassium, calcium, sodium, and magnesium were identified as the major mineral elements in the analyzed honey samples, with considerable variation observed among samples collected from different districts. Antioxidant activity (Total phenolic content (mg GAE/100 g): 9.21–98.25; SC₅₀ (mg/mL): 5.23–41.29) revealed a strong antioxidant potential of Gümüşhane honeys. This work provides the first detailed characterization of Gümüşhane honeys, confirming their high physicochemical quality, rich mineral profile, and notable antioxidant potential, and underscores their value as a distinctive regional product with functional and commercial significance.
- MakaleAçık Erişim2025Snow cover detection using remote sensing techniques over different climate zones of Türkiye
Çakir, Günay; Bozali, Nuri; Sivrikaya, Fatih
Snow-covered land surfaces can be easily mapped using remote sensing technologies. Accurate estimation of snow cover on the land surface allows for the construction of water resource management today. Using Landsat TM/ETM + satellite images, this study tried to assess how much snowfall covered the soil in Trabzon, Gümüşhane, and Bayburt provinces between 1999 and 2023. Satellite images were classified into three categories using the ERDAS 9.1 TM software. These classes are classified as snow-covered surfaces, other places, and data loss (cloud-shadow). When performing image analysis, it was important to verify that the cloudiness rate in the images was less than 15%. Images with cloudiness rates of more than 15% were not used. Seasonal and annual trend analysis of snow-covered areas (SCA) over three distinct regions (Trabzon, Gümüşhane, and Bayburt) were examined using the Mann-Kendall test. When three distinct study regions were examined together, Bayburt had the highest SCA rate, followed by Gümüşhane and Trabzon. In all three fields, the highest SCA was recorded in 2000, while the lowest SCA was recorded in 2017. The trends noticed that SCA on both annual and seasonal scales did not reach the statistical significance level of 0.05. Although snowfall in Trabzon, Gümüşhane, and Bayburt was beneficial in the autumn and spring seasons, no statistically significant association was found. The research concluded that the existing data are inadequate to make any statements on the impact of global warming in the area. However, the study figured out that satellite data may be effectively used to identify snowy places as a result of the study. Comparable investigations need to be undertaken in regions with varying climates, utilizing diverse remote sensing data and classification methodologies.
- MakaleAçık Erişim2025A novel q-ROHFS prospect theory based MABAC method for failure mode risk prioritization in aircraft landing systems
Köseoğlu, Ali; Altun, Fatma; Şahin, Rıdvan
Failure mode risk prioritization is crucial in aircraft landing systems, where undetected or misjudged failures can lead to catastrophic outcomes. Effective risk analysis enables proactive maintenance and enhances aviation safety in such critical phases of flight. In this study, a novel hybrid decision-making framework is proposed to prioritize failure modes in aircraft landing systems by integrating the Multi-Attributive Border Approximation Area Comparison (MABAC) method with Prospect Theory under a q-Rung Orthopair Hesitant Fuzzy Set (q-ROHFS) environment. Traditional failure modes and effects analysis (FMEA) approaches often suffer from rigid weighting schemes, lack of sensitivity to expert hesitancy, and an inability to incorporate psychological factors such as risk aversion or subjective evaluations—especially in high-risk domains like aviation. To address these limitations, the proposed model incorporates human psychological behaviour and uncertainty in expert assessments. Prospect Theory is employed to capture decision makers’ risk attitudes and reference-dependent evaluations, while q-ROHFSs allow more flexible and comprehensive representation of hesitant and uncertain information. In this approach, Best-Worst Method (BWM) is used to determine the relative importance of risk factors for each decision maker, and their individual weights are obtained using TOPSIS-based similarity measures. A novel generalized q-ROHF Minkowski distance measure is also introduced and implemented to determine the weights of decision makers in the TOPSIS method, as well as to construct the prospect decision matrix and the distance matrix in the MABAC method, thereby enhancing computational precision. The applicability and effectiveness of the proposed method are demonstrated through a real-world case study on aircraft landing systems, and a sensitivity analysis is conducted to validate the robustness of the results. The findings highlight the method’s capability to reflect expert preferences more realistically and improve risk prioritization decisions in complex safety-critical systems.
- MakaleAçık Erişim2025The role of cognitive flexibility and psychological well-being in the effect of mindfulness on problematic internet use
Yazıcı Çelebi, Gülin; Güngör, Sunay; Kaya, Feridun
With the widespread use of digital technologies today, the Internet has become an indispensable part of life but has also led to negative outcomes such as problematic internet use in some individuals. Problematic internet use is seen as a critical risk factor that negatively impacts individuals’ academic, social, and psychological functioning. Research has presented a lot of evidence in recent years that psychological resources, such as mindfulness, cognitive flexibility, and psychological well-being, play a noteworthy role in protecting individuals against such risky behaviors. This study aimed to examine the chain (serial) mediation roles of cognitive flexibility and psychological well-being in the effect of individuals’ mindfulness on problematic internet use. The majority of the participants in this study, using a cross-sectional, correlational design, were female (73.1%), their socio-economic level was moderate (70.4%), and their mothers (69.6%) and fathers (52.3%) had secondary school education. It was found that the majority of the participants used the Internet for 2–4 h a day (44.2%). Participant age ranged between 18 and 26 (Mean = 19.16, SD = 1.52). Data were collected using a Personal Information Form, the Mindfulness Scale, the Cognitive Flexibility Inventory, the Psychological Well-Being Scale, and the Problematic Internet Usage Scale. When the research findings were examined, it was found that mindfulness had a positive significant relationship with cognitive flexibility and psychological well-being. Negative significant relationships were observed between problematic internet use and mindfulness, cognitive flexibility, and psychological well-being. When the mediation analyses of the study were examined, it was determined that both cognitive flexibility and psychological well-being had mediation roles in the relationship between mindfulness and problematic internet use. In addition, it was revealed that cognitive flexibility and psychological well-being had a chain (serial) mediation role in the relationship between mindfulness and problematic internet use. It was determined that as the mindfulness levels of individuals increased, their cognitive flexibility and psychological well-being levels increased, too. On the other hand, it was observed that having high levels of mindfulness, cognitive flexibility, and psychological well-being decreased problematic internet use levels. In addition to these results, it was found that the relationship between mindfulness and problematic internet use was mediated by cognitive flexibility and psychological well-being. The findings obtained from the research were discussed in light of the literature, and various suggestions were made.
- MakaleAçık Erişim2025Re-evaluation of excavation class limits for underground excavations based on new data
Gurocak, Zulfu; Kaya, Ayberk; Kanik, Mustafa; Alemdag, Selcuk
Many researchers have proposed empirical excavatability classifications to easily and quickly assess rock masses. These classifications mostly apply to surface excavations, while those for underground excavations are limited. Updating the classifications proposed for underground excavations based on new data is important in terms of eliminating the deficiencies in this regard. This study determined the engineering properties (RMR, Q, GSI), rock material strengths, and in-situ excavation classes of 16 underground rock masses. The new data were compared with excavation classifications from various researchers and empirical classes. The study found that empirical classifications for surface conditions are not applicable for underground. Excavation is more challenging in underground conditions due to stress from overburden. While excavation classes align for good to very good rock masses in both conditions, there is no perfect match for medium, weak, and very weak rock masses for underground. The study suggests that for underground excavation classes (blasting, hammer&blasting, hammer, and digging), both RMR89 and Q values should be used together to differentiate between classes. When using GSI for classification, the Is(50) value of the rock material should also be considered. The σcm parameter is the most critical in evaluating rock mass excavatability.
- MakaleAçık Erişim2024A general class of improved population variance estimators under non-sampling errors using calibrated weights in stratified sampling
Pandey, M.K.; Singh, G.N.; Zaman, Tolga; Mutairi, Aned Al; Mustafa, Manahil SidAhmed
This paper proposes a new calibration estimator for population variance within a stratified two-phase sampling design. It takes into account random non-response and measurement errors, specifically applying this method to estimate the variance in Gas turbine exhaust pressure data. The study integrates additional information from two highly positively correlated auxiliary variables to develop a general class of estimators tailored for the stratified two-phase sampling scheme. The properties of these estimators, in terms of their biases and mean square errors, have been thoroughly examined and extensively analyzed through numerical and simulation studies. Furthermore, the calibrated weights of the strata are derived. The proposed estimators outperform the natural estimator of population variance. Finally, suitable recommendations have been made for survey statisticians intending to apply these findings to real-life problems.
- MakaleAçık Erişim2024Enhancing brain tumor classification through ensemble attention mechanism
CELIK, Fatih; CELIK, Kemal; CELIK, Ayse
Brain tumors pose a serious threat to public health, impacting thousands of individuals directly or indirectly worldwide. Timely and accurate detection of these tumors is crucial for effective treatment and enhancing the quality of patients’ lives. The widely used brain imaging technique is magnetic resonance imaging, the precise identification of brain tumors in MRI images is challenging due to the diverse anatomical structures. This paper introduces an innovative approach known as the ensemble attention mechanism to address this challenge. Initially, the approach uses two networks to extract intermediate- and final-level feature maps from MobileNetV3 and EfficientNetB7. This assists in gathering the relevant feature maps from the different models at different levels. Then, the technique incorporates a co-attention mechanism into the intermediate and final feature map levels on both networks and ensembles them. This directs attention to certain regions to extract global-level features at different levels. Ensemble of attentive feature maps enabling the precise detection of various feature patterns within brain tumor images at both model, local, and global levels. This leads to an improvement in the classification process. The proposed system was evaluated on the Figshare dataset and achieved an accuracy of 98.94%, and 98.48% for the BraTS 2019 dataset which is superior to other methods. Thus, it is robust and suitable for brain tumor detection in healthcare systems.
- MakaleAçık Erişim2023New paleomagnetic results from Neogene to Quaternary volcanic rocks of north of the Lake Van, Eastern Turkey
Kayın, Sercan; İşseven, Turgay
The Eastern Anatolia is an active tectonic region where the collision between the Arabian and Eurasian plates take place. Due to the subduction of Arabian plate’s oceanic lithosphere under Eurasian plate, widespread volcanism observed in large areas began in Serravallian. There is no consensus in the literature for the tectonic evolution of the region. Therefore, there are many geological and geophysical studies conducted with the intention of explaining the tectonic evolution of Eastern Anatolia by geodynamic models. Our paleomagnetism study aims to reveal the tectonic rotations in order to better understand the development of the prevailing tectonism in the region from the volcanic rocks. Paleomagnetic samples were collected from 86 sites of the Late Miocene–Pleistocene volcanic rocks located at the north of Lake Van. Isothermal remanent magnetization studies show that magnetite is the mineral responsible for magnetization in most rocks, while both magnetite and hematite are responsible for the rest of the rocks. Curie temperatures and alteration degrees of rock samples were also determined by high-temperature susceptibility (HTS) studies. In some samples, titanomagnetite component was observed in the heating phase of the HTS measurements. The absence of this component in the cooling step indicates that Ti-magnetite is transformed into magnetite by alteration. The Pleistocene volcanics show counterclockwise rotation of R ± ΔR = 13.4° ± 3.8°. The Pliocene volcanic rocks were defined in four different groups: south of Erciş Fault, north of Erciş Fault, around Muradiye and north of Van. Also, the remarkable clockwise rotation is observed in the north of Van and near Muradiye R ± ΔR = 24.4° ± 17.0° and R ± ΔR = 6.9° ± 9.4°, respectively. In addition, counterclockwise rotation (R ± ΔR = 14.5° ± 6.1°) is obtained in the southern part of the Erciş Fault, while there is no significant rotation (R ± ΔR = 0.6° ± 7.4°) on the northern side. Late Miocene volcanic rocks show no significant rotation either (R ± ΔR = 1.8° ± 13.7°). Our new paleomagnetic results indicate that the left-lateral strike-slip Çakırbey Fault, located to the east of the Erciş fault and extending roughly in the northeast–southwest direction, may be active.
- MakaleAçık Erişim2022A countrywide analysis of 27 solar power plants installed at different climates
Ozden, Talat
The world is still heavily using nonconventional energy sources, which are worryingly based on carbon. The step is now alternative energy sources hoping that they will be more environmentally friendly. One of the important energy conversion forms by using these sources is photovoltaic solar systems. These type of power plants is on the increase in everyday on the world. Before investment a solar power plant in a specified region, a techno-economic analyse is performed for that power plant by using several meteorological data like solar irradiance and ambient temperature. However, this analyses generally lacks evaluation on effects of climatic and geographical conditions. In this work, 5 years of data of 27 grid-connected photovoltaic power plants are investigated, which are installed on seven different climate types in Turkey. Firstly, the power plants are categorized considering the tilt angles and Köppen–Gieger climate classification. The performance evaluations of the plants are mainly conducted using monthly average efficiencies and specific yields. The monthly average efficiencies, which were classified using the tilts and climate types were from 12 to 17%, from 12 to 16% and from 13 to 15% for tilts 30°/10°, 25° and 20°, respectively. The variation in the specific yields decrease with elevation as y(x) = − 0.068x + 1707.29 (kWh/kWp). As the performances of photovoltaic systems for some locations within the Csb climatic regions may relatively lower than some other regions with same climate type. Thus, techno-economic performance for PVPP located in this climate classification should be carefully treated.
- MakaleAçık Erişim2020Solar irradiation on the rear surface of bifacial solar modules: a modeling approach
Durusoy, Beyza; Ozden, Talat; Akinoglu, Bulent G.
The transition in the energy sector has started with the growing population leading to the growing energy demands. The use of photovoltaic (PV) technologies has become a crucial way to meet energy demand. There are many ongoing studies for increasing the efficiency of commercial PV modules. One way to increase the energy yield of the PV modules is to use bifacial solar panels by capturing the rear side illumination as well. One of the challenges for estimating the bifacial module performances is to calculate the solar irradiation impinging on the rear side. Many models presented up to now require high computational power, and they are challenging to implement real-life conditions. In this paper, a simple physical modeling approach is presented to calculate the rear side solar irradiation incident on the bifacial modules. For the rear side irradiance estimation, the maximum difference between the measured and calculated rear side irradiance value is approximately 10 W/m2. The model does not require high computational skills since it is neither focused on the view factor nor ray tracing methodologies but instead uses solar geometry. The yield of the module is also modeled, calculated, and compared with the measurements.