Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Güler, Ömer(24)
- Tekin, H.O.(19)
- ALMisned, Ghada(18)
- Kocabaş, Mehmet(13)
- Baykal, Duygu Sen(11)
- Alkarrani, Hessa(10)
- Serdar, Osman(10)
- Yayla, Nihal(10)
- Kilic, G.(9)
- Özkul, İskender(9)
- Guler, Omer(7)
- Kocabaş, Filiz Kutluyer(7)
- Utku, Anıl(7)
- Çelikel, Baha Engin(7)
- Acar, Ramazan(6)
- Aglar, Erdal(6)
- Canbay, Canan Aksu(6)
- Garipcan, Ali Murat(6)
- Karaduman, Oktay(6)
- Koç, Ali(6)
- Özçiçek, Esin(6)
- Aydın, Ayşe Nur(5)
- Kutluyer Kocabaş, Filiz(5)
- Sarı, Sacit(5)
- Sezer, Süreyya Yonca(5)
- Sezgin, Eray Ekin(5)
- Yılmaz, Coşkun(5)
- Zengin, Gokhan(5)
- Akgül, Ceylan Sülü(4)
- Alataş, Mevlüt(4)
- Aslan, Naim(4)
- Batan, Nevzat(4)
- Cakilcioglu, Ugur(4)
- Ceylan, Tülay(4)
- Dal, Murat(4)
- Ertarğın, Merve(4)
- Ezer, Tülay(4)
- Gul, Muhammet(4)
- Kalay, Ece(4)
- Konurhan, Zekeriya(4)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ1Psychological effects of the COVID-19 pandemic on primary healthcare professionals in Turkey: One year into the pandemic
Yücel, Ummahan; Erkal Aksoy, Yasemin; Yaşar Yetişmiş, Habibe; Gök, Çiğdem
Aim and Objectives: This study aimed to determine the psychological effects of the COVID-19 pandemic on healthcare professionals working in primary care settings in the first year of the pandemic. Background: The healthcare industry has faced an unprecedented burden in the COVID-19 pandemic. Primary care professionals experienced the high level of psychological problems. Design and Methods: A total of 793 healthcare professionals from different regions of Turkey participated in this cross-sectional study. The STROBE (Strengthening the reporting of observational studies in epidemiology) checklist was used in the study. Data were collected online. Results: It has been found that more than half of healthcare professionals experienced severe depression, three-quarters experienced anxiety, and almost half experienced stress. It was also found that about half of the participants experienced a high degree of acute and chronic fatigue, and one-fifth experienced low inter-shift recovery. Conclusion: The effects of the COVID-19 pandemic on the mental health of primary care professionals, especially nurses and midwives, are alarming. The problems that arise from the flawed healthcare delivery models and gender inequality, which worsen the usual psychological effects of the pandemic on primary care professionals, should be addressed urgently. Relevance to Clinical Practice: Psychological support and rehabilitative services should be expanded to eliminate the short- and long-term psychological effects of the pandemic on healthcare professionals.
AtıfScopus1WoS1OpenAlex1
İncele - MakaleYalnız künye2025Scopus SJRQ2Response surface method (RSM) for optimization of electrical properties of polymer/CdS composites for dielectric capacitors
Torğut, Gülben; İncesu, Rabia
This paper aims to present the statistical evaluation of dielectric constant (έ) and conductivity (σ) performance of composites preparing Maleic Anhydride (MA) and Styrene (St) polymer with various amounts of Cadmium Sülfide (CdS) by analysis of variance (ANOVA) model. For this purpose, frequency, applied voltage and CdS amount at different weight percentages were selected as input factors while dielectric constant and conductivity of the composites were selected as the response. Analysis of input factors was performed, RSM method was designed and used for estimation of response factor. From the analysis results, we found that high values of dielectric constant and conductivity were strongly related to frequency and CdS amount. However, we found that applied voltage in the selected ranges did not have a significant effect on both factors. The structural properties of the composites were investigated by Fourier Transform Infrared Spectroscopy (FTIR). The surface morphology was investigated by Scanning Electron Microscopy (SEM). The presence of CdS in polymers has been proven by X-Ray Diffraction (XRD). The thermal properties of polymers were examined by thermogravimetric analysis (TGA).
AtıfScopus1WoS2OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ2Using Meta-Heuristic Optimization Algorithms to Determine Baseflow and Comparing Their Temporal Performance
Acar, Ramazan; Sapliogu, Kemal
Accurate and simple determination of baseflow is an extremely important issue. In this study, the baseflow levels of Göksu station number 1805 in the Seyhan basin were determined by calibrating the Lyne and Hollick, Chapman, Chapman and Maxwell methods available in the literature using meta-heuristic optimization methods. The meta-heuristic algorithms used for calibration in the study were run thirty times each. Thus the reliability, the reliability of the algorithms was tested with the standard deviations obtained. The study also measured the temporal performance of the algorithms. In addition, the baseflows of Göksu station were determined and their percentage rates were found separately according to all three methods and intuitive methods, and the results obtained were compared. By examining the results obtained in this section, the average baseflow rate of the basin was also determined. Furthermore, each phase of the study was repeated over a five-year period, with the objective of measuring its sustainability. Consequently, it has been demonstrated that the method can be employed over extended periods.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2Advancing Air Quality Monitoring: Deep Learning-Based CNN-RNN Hybrid Model for PM2.5 Forecasting
Utku, Anıl; Can, Umit; Alpsülün, Mustafa; Balıkçı, Hasan Celal; Amoozegar, Azadeh; Pilatin, Abdulmuttalip; Barut, Abdulkadir
Particulate matter, particularly PM2.5, poses a significant threat to public health due to its ability to disperse widely and its detrimental impact on the respiratory and circulatory systems upon inhalation. Consequently, it is imperative to maintain regular monitoring and assessment of particulate matter levels to anticipate air pollution events and promptly mitigate their adverse effects. However, predicting air quality is inherently complex, given the multitude of variables that influence it. Deep learning models, renowned for their ability to capture nonlinear relationships, offer a promising approach to address this challenge, with hybrid architectures demonstrating enhanced performance. This study aims to develop and evaluate a hybrid model integrating Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for forecasting PM2.5 levels in India, Milan, and Frankfurt. A comparative analysis with established deep learning and machine learning techniques substantiates the superior predictive capabilities of the proposed CNN-RNN model. The findings underscore its potential as an effective tool for air quality prediction, with implications for informed decision-making and proactive intervention strategies to safeguard public health.
AtıfScopus10WoS6OpenAlex11İncele - MakaleAçık Erişim2025Scopus SJRQ2A Comparative Study of Time–Frequency Representations for Bearing and Rotating Fault Diagnosis Using Vision Transformer
Orhan, Ahmet; Yordanov, Nikolay; Ertarğın, Merve; Zhilevski, Marin; Mikhov, Mikho
This paper presents a comparative analysis of bearing and rotating component fault classification based on different time–frequency representations using vision transformer (ViT). Four different time–frequency transformation techniques—short-time Fourier transform (STFT), continuous wavelet transform (CWT), Hilbert–Huang transform (HHT), and Wigner–Ville distribution (WVD)—were applied to convert the signals into 2D images. A pretrained ViT-Base architecture was fine-tuned on the resulting images for classification tasks. The model was evaluated on two separate scenarios: (i) eight-class rotating component fault classification and (ii) four-class bearing fault classification. Importantly, in each task, the samples were collected under varying conditions of the other component (i.e., different rotating conditions in bearing classification and vice versa). This design allowed for an independent assessment of the model’s ability to generalize across fault domains. The experimental results demonstrate that the ViT-based approach achieves high classification performance across various time–frequency representations, highlighting its potential for mechanical fault diagnosis in rotating machinery. Notably, the model achieved higher accuracy in bearing fault classification compared to rotating component faults, suggesting higher sensitivity to bearing-related anomalies.
AtıfScopus29İncele - MakaleYalnız künye2025Scopus SJRQ1Reduction of fluid forces on a circular cylinder in the laminar flow regime using a pair of airfoils
Fırat, Erhan; Oruç, Vedat; You, Rui; Biçer, Uğur; Devecioğlu, Atilla G.
Flow around the cylinder, with/without a pair of airfoils symmetrical to the cylinder's horizontal axis, was simulated for a diameter-based Reynolds number (Re) of 100. The objective of this numerical study is to simultaneously reduce the values of the time-averaged and fluctuating forces acting on a system consisting of a pair of airfoils and a cylinder below those of a single cylinder by using different combinations of the parameters chord (c), angle of rotation (β), angle of attack (α), and the shortest distance between the aerodynamic center of the airfoil and the surface of the cylinder (g). The values of these key parameters are determined primarily through two approaches. The first approach involves emulating the flow pattern surrounding the system to match the potential flow pattern. The second approach involves disrupting the interaction between the shear layers from the cylinder by stretching them in the mean flow direction. The second approach has been demonstrated to exhibit superior performance in terms of reducing both time-averaged and fluctuating forces concurrently. The second approach has been demonstrated to exhibit superior performance in terms of reducing both time-averaged and fluctuating forces concurrently. The optimal geometrical parameters that yield the desired end results are determined to be c = 0.5D, α = 0°, β = 60°, and g = 0.2D. Utilizing these parameters has been demonstrated to result in a substantial reduction in the time-averaged drag, fluctuating drag, and fluctuating lift coefficients of the system, with the respective percentage reductions reaching 14.4 %, 92.1 %, and 73 %, respectively, when compared to the values obtained for a single cylinder.
AtıfScopus4OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Multifunctional properties and microstructural correlations of NiCoMnTi-Based high entropy alloys with focus on magnetic, thermodynamic, and radiation shielding characteristics
Özkul, İskender; Karaduman, Oktay; Şimşek, Tuncay; Şimşek, Telem; Canbay, Canan Aksu; Güler, Ömer; ALMisned, Ghada; Baykal, Duygu Sen; Tekin, Huseyin Ozan
High-entropy alloys (HEAs) are a novel class of materials known for their complex compositions and exceptional multifunctional properties. In this study, NiCoMnTi-based HEAs were modified with Fe, Cr, and Cu as fifth elements to systematically investigate their structural, magnetic, thermodynamic, and nuclear radiation shielding characteristics. The alloys were synthesized via arc melting and characterized using XRD, SEM-EDS, VSM, and theoretical modeling methods. The findings reveal that each additional element uniquely alters the alloy’s properties. The Fe-containing alloy exhibited a well-defined lamellar microstructure, the highest saturation magnetization (10.79 emu/g), and a Curie temperature near 450 K, along with strong gamma-ray shielding performance across both low and high energy ranges. The Cr-containing alloy demonstrated soft magnetic behavior, featuring the lowest coercivity (29.64 Oe) and the highest fast neutron removal cross-section. In contrast, the Cu-containing alloy enhanced low-energy photon attenuation due to its higher atomic number but exhibited limited magnetic homogeneity. Despite these differences, all samples displayed stable thermodynamic behavior and comparable buildup factor trends. Overall, the addition of Fe led to a synergistic improvement in both magnetic and radiation shielding capabilities of the NiCoMnTi-based HEA system.
AtıfScopus3OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ3Cotton Fabric and Polypropylene Fabrics Treated with Synthesized Zinc Diborate
İpek, Yeliz; Ertekin, Özlem
Cotton fabrics and polypropylene fabrics are mostly used fabrics in many areas. Zn(B4O7) powder was synthesized with a sequential wet precipitation and sintering method. Focused ion beam scanning electron microscopy (FIB-SEM) figures and energy dispersive X-ray spectroscopy (EDS) mapping results showed that zinc diborate was highly and homogeneously adsorbed on the surface of the treated fabrics. When differential thermal analysis (DTA) results were examined, heat release seemed to decrease by 0.71 kJ g−1, 0.61 kJ g−1, and 0.46 kJ g−1for cotton fabric treated with zinc diborate (C-117-ZB), polypropylene fabric (20 g m−2) treated with zinc diborate (PP-20-ZB), and polypropylene fabric (65 g m−2) treated with zinc diborate (PP-65-ZB), respectively. According to vertical burning test, burning rates of cotton fabric (C‒117), C‒117‒ZB, polypropylene fabric (PP‒65), PP‒65‒ZB, polypropylene fabric (PP‒20), and PP‒20‒ZB were calculated as 3.25 cm s−1, 1.93 cm s−1, 0.75 cm s−1, 0.36 cm s−1, 0.88 cm s−1, and 0.71 cm s−1, respectively. Heat releases and burning rate decreases were in good agreement for all treated fabrics. Also breaking strengths of both fabric types were improved. The washing test exhibited that the amount of zinc diborate powder on the cotton fabric sample was released by 25.49% while PP-65-ZB and PP-20-ZB fabrics released about 90% by weight of adsorbed powder. Although improvement was observed in the fire resistance of PP fabrics, antibacterial activity against Escherichia coli and Staphylococcus aureus could not be achieved. However, antibacterial activity was provided only for the cotton fabric.
- MakaleYalnız künye2025Scopus SJRQ2The Discursive Foundations of Chinese Foreign Policy under Xi Jinping: A Non-Western Theoretical Analysis
Gökcan, Özkan
China’s economic rise in the 21st century has prompted analyses of how this ascent will be reflected in the political sphere. Analyses in West-ern-centric media outlets and academia have predominantly focused on the notion that China will seek hegemony and an alternative international order in parallel with its economic rise. The central claim of this study is that these analyses, primarily based on realist and liberal assumptions, are incompatible with Xi Jinping’s foreign policy discourse. Therefore, Chinese foreign policy should be analyzed from an alternative theoretical perspec-tive. Building on this claim, this study first analyses the general framework of the discourse on which Chinese foreign policy was built during the Xi Jinping era. Subsequently, this discourse is examined in Tianxia, a Chi-na-centered non-Western theory. This analysis, supported by examples of concrete foreign policy steps in the concluding section of the study, aims to provide a non-Western perspective on Chinese foreign policy.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2025Scopus SJRQ1Selection of the central composting facility for organic wastes through the Bayesian best worst method and Geographic information system incorporation: The case of Istanbul
Güler, Mustafa; Samastı, Mesut; Yücesan, Melih; Gül, Muhammet; Çelik, Erkan; Ciner, Miraç Nur; Algorabi, Ömer
The rapid increase in municipal solid waste (MSW) generation, driven by population growth and unplanned urbanization, has made the location of organic waste collection and disposal facilities a critical issue for metropolitan cities. Improper waste management practices threaten environmental sustainability, human health, and urban futures. This study applies multicriteria decision-making (MCDM) methods to identify the optimal placement for a central composting facility in Istanbul. A novel MCDM mechanism was developed, building on existing methods and addressing a gap in the literature. While determining the criteria, academic studies on this subject were researched in depth and the criteria used in these studies were brought together to obtain 28 criteria. The study assessed 28 criteria using the Bayesian Best-Worst Method (BWM) to determine their relative importance. These weights were then integrated into a Geographic Information System (GIS) to produce a suitability map, highlighting the most appropriate locations for the facility. Based on this analysis, the Çatalca Karacabey region was identified as the optimal site, ensuring reduced environmental impact and improved efficiency in organic waste management. The study contributes both theoretically and practically to the field, offering a robust framework for sustainable waste facility siting and providing actionable insights for urban governance. The study provides valuable insights for facility siting and urban governance, while highlighting areas for future research.
AtıfScopus5WoS4İncele - MakaleYalnız künye2025Scopus SJRQ1Seasonally adjusted periodic time series for Mann-Kendall trend test
Güçlü, Yavuz Selim; Acar, Ramazan; Saplıoğlu, Kemal
In this study, temperature data trend analysis is conducted, which is thought to be influenced by global warming, climate change, and local factor impacts. The main objective of this paper is to obtain an acceptable autoregressive correlation value for the MK test. For this purpose, seasonality (periodicity) especially in monthly time series is adjusted. Autoregressive correlation and homogeneity test values decrease after seasonal adjusting, but reasonable results are not achieved. Then, prewhitening procedure is also applied to the seasonally adjusted data. This process resulted in the data becoming both homogeneous and free autoregressive correlation. The final version of the time series is suitable for the MK test. Furthermore, the time series are divided into different time intervals, and the efficacy of the method is investigated. The results demonstrated that the method is suitable for time series with less than 30 years of data. The study demonstrated that the proposed method enhances the reliability of the data. Also, multiplication by 12 (months) allows the MK test with Z score in place of the Student's t-test in short-term data sets. This suggested methodology can be used to identify MK trend conditions in monthly time series. The application is based on monthly and annual average temperature data between 1957 and 2022 from three stations within the Kızılırmak basin (Çankırı, Kırşehir, Sivas stations) and one station within Seyhan Basin (Adana station) in Türkiye. The test results exhibited a significant increasing trend.
AtıfScopus37WoS34OpenAlex41İncele - MakaleAçık Erişim2025Scopus SJRQ2Comprehensive evaluation of thermal, structural, magnetic, and radiation shielding properties of CuAlNi and CuAlNi-X (X = Co, CoFe, CoFeMn, CoFeMnCr) high-temperature shape memory alloys
Özkul, İskender; Karaduman, Oktay; Şimşek, Telem; Şimşek, Tuncay; Canbay, Canan Aksu; Güler, Ömer; Şan, Mert Hüseyin; ALMisned, Ghada; Tekin, H.O.
This study investigates the thermal, structural, magnetic, and radiation shielding properties of CuAlNi-based high-temperature shape memory alloys (HTSMAs) enhanced through sequential alloying with Co, Fe, Mn, and Cr. Five different variants were produced, designated as CRef (reference CuAlNi alloy), CCo (CuAlNiCo), CFe (CuAlNiCoFe), CMn (CuAlNiCoFeMn), and CCr (CuAlNiCoFeMnCr). Differential scanning calorimetry (DSC) confirmed the presence of reversible martensitic transformations in all alloys, with Co and Mn additions significantly enhancing thermal stability. Structural analyses using X-ray diffraction (XRD) and microscopy showed significant grain refinement and phase transitions, while magnetic measurements highlighted the strong ferromagnetic response of CCo (CuAlNiCo) and the increased coercivity of CMn (CuAlNiCoFeMn) due to domain-pinning effects. Moreover, radiation shielding analyses demonstrated the critical influence of density and elemental composition, with CRef exhibiting superior linear attenuation coefficients (LAC), effective atomic number (Zeff), and energy absorption buildup factor (EBF) performance, attributed to its optimized Cu fraction and high density (7.1296 g/cm3). In contrast, CMn (CuAlNiCoFeMn) showed the weakest shielding properties due to reduced density and Mn content. Among the samples, CRef emerged as the superior alloy, demonstrating exceptional multifunctionality across all evaluated parameters, while CCr (CuAlNiCoFeMnCr) displayed synergistic properties, combining shape memory behavior with competitive shielding efficiency. It can be concluded that CuAlNi-based HTSMAs hold significant potential as multifunctional materials, particularly for nuclear safety and aerospace engineering applications, where adaptive functionality and radiation protection are critical.
AtıfScopus2OpenAlex2İncele - Derleme MakaleAçık Erişim2025Scopus SJRQ2Ghrelin and LEAP2: Their Interaction Effect on Appetite Regulation and the Alterations in Their Levels Following Bariatric Surgery
Alic, Nese; Ayaz, Aylin
Background and Objectives: Ghrelin plays key roles in appetite regulation, involving both homeostatic and hedonic pathways. In obesity, its metabolism is affected by alterations in neural and hormonal responses. Liver-Enriched Antimicrobial Peptide 2 (LEAP2), recently identified as an endogenous ghrelin receptor antagonist, has emerged as a potential regulator of appetite and energy balance, and bariatric surgery is known to induce changes in this system. In this review, we aimed to evaluate the roles of acyl ghrelin, des-acyl ghrelin, and LEAP2 in food intake regulation and summarize findings on the alterations in their levels after bariatric surgery. Materials and Methods: We conducted a narrative review of human and animal studies published in the literature investigating the roles of acyl ghrelin, des-acyl ghrelin, and LEAP2 in food intake regulation, as well as changes in their levels in obesity and following bariatric surgery. Results: Alterations in the ghrelin system, i.e., the acyl ghrelin and des-acyl ghrelin isoforms and LEAP2, in obesity have been reported. Experimental studies have shown that LEAP2 administration reduces food intake and body weight by suppressing ghrelin-induced food intake. Most studies have found marked reductions in fasting acyl ghrelin after sleeve gastrectomy, more so than after Roux-en-Y gastric bypass. Conclusions: In obesity, altered neural and hormonal responses to food also affect ghrelin metabolism, with significant deviations in acyl ghrelin levels and impaired appetite regulation mechanisms. Unlike ghrelin, LEAP2 levels tend to be elevated in obesity. While changes in acyl ghrelin and des-acyl ghrelin isoforms, particularly after sleeve gastrectomy, are well documented, data on LEAP2 remain limited. Further research is needed to better define the role of LEAP2 in ghrelin-mediated food intake and its potential as a therapeutic target in obesity.
AtıfScopus6WoS5OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ2A New, Robust, Adaptive, Versatile, and Scalable Abandoned Object Detection Approach Based on DeepSORT Dynamic Prompts, and Customized LLM for Smart Video Surveillance
Yilmazer, Merve; Karakose, Mehmet
Video cameras are one of the important elements in ensuring security in public areas. Videos inspected by expert personnel using traditional methods may have a high error rate and take a long time to complete. In this study, a new deep learning-based method is proposed for the detection of abandoned objects, such as bags, suitcases, and suitcases left unsupervised in public areas. Transfer learning-based keyframe detection was first performed to remove unnecessary and repetitive frames from the ABODA dataset. Then, human and object classes were detected using the weights of the YOLOv8l model, which has a fast and effective object detection feature. Abandoned object detection is achieved by tracking classes in consecutive frames with the DeepSORT algorithm and measuring the distance between them. In addition, the location information of the human and object classes in the frames was analyzed by a large language model supported by prompt engineering. Thus, an explanation output regarding the location, size, and estimation rate of the object and human classes was created for the authorities. It is observed that the proposed model produces promising results comparable to the state-of-the-art methods for suspicious object detection from videos with success metrics of 97.9% precision, 97.0% recall, and 97.4% f1-score.
AtıfScopus5WoS2OpenAlex8İncele - MakaleYalnız künye2025Scopus SJRQ1AI-enabled human capital management (HCM) software adoption using full consistency method (FUCOM): evidence from banking industry
Yadav, Rama Shankar; Kaya, Sema Kayapinar; Pant, Abhay; Tiwari, Anurag
Purpose: Artificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector. Design/methodology/approach: Full consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs. Findings: The study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks. Originality/value: The study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.
AtıfScopus9WoS7OpenAlex17İncele - MakaleYalnız künye2025Scopus SJRQ4First Record of Black Sea Trout (Salmo labrax) and Its Potential Hybrids with Endemic Munzur Trout (Salmo munzuricus) in Uzunçayır Dam Lake, Tunceli
Ölçülü, Abdullatif; Düzgüneş, Zehra Duygu; Kocabaş, Filiz Kutluyer; Kızak, Volkan; Kocabaş, Mehmet
The depletion of unique genetic resources and increased risk of extinction may result from hybridization between native and introduced species. In the present study, morphological and molecular analysis were performed on two putative natural interspecific hybrids of the genus Salmo and their parent species, Salmo labrax and Salmo munzuricus, collected from Uzunçayır Dam Lake, which is fed by Munzur and Pülümür streams. Molecular analyses revealed the presence of S. labrax in Uzunçayır Dam Lake for the first time. Phylogenetic analysis using the cytochrome b (Cytb) gene of mitochondrial DNA to determine the maternal origin revealed that hybrid individuals belonged to the same clades as S. labrax or S. munzuricus. Recombination activating gene 1 (Rag1) sequence of nuclear DNA was analyzed for paternal analysis and it was determined that hybrid individuals carried similar single nucleotide polymorphisms (SNPs) to S. labrax or S. munzuricus. These findings support that individuals derive from different parental species. Therefore, evidence from trout samples assumed to be natural hybrids in this study suggests interspecific hybridization between S. labrax and S. munzuricus, but further studies are required. Rag1 Phenotype
- MakaleAçık Erişim2025Scopus SJRQ4The Effects of Mandala on the Hope Levels of Women Diagnosed with Gynecologic Cancers: A Randomized-Controlled Study; [Jinekolojik Kanserli Kadınlarda Mandala Aktivitesinin Umut Düzeyine Etkisi: Randomize Kontrollü Çalışma]
Beydağ, Kerime Derya; Dal, Nursel Alp
Gynecologic cancers, which are a highly stressful and negative experience that affects womanhood, fertility, and the sex life of a woman, also cause multiple negative effects on women’s health. This study was conducted to determine the effects of mandala practice on the hope levels of women diagnosed with gynaecological cancers. This randomized controlled trial was conducted between March 1 and September 1, 2021, and involved 90 inpatients in the oncology department of a private hospital in western Turkey. The study included patients diagnosed with gynaecological cancer who could read and write Turkish and had a diagnosis period of at least three months. The data were collected using the Personal Information Form and the Herth Hope Index. In the analysis of the data, the t-test for independent groups was used for numbers, percentages, means, standard deviations, and comparisons between groups. There was no significant difference between the pretest Herth Hope Index (HHI) scores of the patients in the intervention and control groups (p>0.05). In contrast, the posttest scores of the intervention group were significantly higher than those of the control group. While the HHI scores of the intervention group significantly increased from the pretest to the posttest, the control group scores significantly decreased from the pretest to the posttest (p<0.05). In this study, mandala activity was found to be effective in increasing the hope levels of women diagnosed with gynecological cancers.
- MakaleYalnız künye2025Scopus SJRQ1Dunite powder as a green precursor in one-part alkali-activated composites: Effects on mechanical and durability properties
Benli, Ahmet; Bayraktar, Oğuzhan Yavuz; Karataş, Mehmet; Bodur, Burak; Yılmazoğlu, Mehmet Uğur; Kaplan, Gökhan
Natural pozzolans are a sustainable alternative to Portland cement, offering abundant alumina and reactive silica for geopolymer production. Due to their simple extraction methods, they are cost-effective and environmentally friendly. This study explores the utilization of dunite powder (DP) as a sustainable precursor in one-part alkali-activated slag-based composites (AAC), aiming to evaluate its potential to partially replace granulated blast furnace slag (GBFS). The mechanical, fresh, and durability properties of the composites were investigated by varying DP replacement levels (0%, 15%, 30%, and 60%) under an activator dosage of sodium metasilicate, with the mixtures cured at 80 °C for 24 h and subsequently exposed to ambient conditions. The compressive and flexural strengths were evaluated at 7, 28, and 91 days, while the fresh properties (flowability and setting time), durability under sulfate attack, high-temperature resistance, freeze-thaw resistance, dry shrinkage, sorptivity and microstructural characteristics (SEM, XRD, and FT-IR) were also examined. The compressive strength decreased with higher DP content, with the 60% DP mixture showing a 43% strength reduction at 28 days compared to the reference mixture. However, the 30% DP mixture achieved a favorable balance between strength and sustainability, demonstrating a compressive strength decrease of only 11% at 91 days. The mixture containing 15% DP demonstrated the best performance under high-temperature conditions and freeze-thaw cycles. The 60% DP mixture exhibited the highest mass and strength loss when exposed to temperatures above 400 °C and a 15% compressive strength reduction after 120 days of immersion in a 10% MgSO4 solution.
AtıfScopus29OpenAlex22İncele - MakaleYalnız künye2025Scopus SJRQ2Ampelographic and population structure analysis of grape accessions under eastern anatolia conditions-Türkiye (Tunceli), assessed by SSR markers
Karaca Sanyürek, Nesrin; Söylemezoğlu, Gökhan; Yüksel Özmen, Canan; Ergül, Ali; Ovayurt, Çağrı
Türkiye, which holds an important agricultural spot in the world with its ecological conditions for the cultivation of numerous plant species, has a highly rich genetic potential in terms of the genetic resource diversity of grapes. The Tunceli province, located in the Eastern Anatolia region, is a Turkish region with a harsh terrain structure. This study aims to perform the genetic characterisation and identification of the grape accessions within the Tunceli province, which are not included in the national collection vineyard and are at risk of extinction. In this study, ampelographic characterisation was conducted using a set of 78 descriptors (Vitis species) established by the OIV (Organisation Internationale de la Vigne et du vin) and a Principal Component Analysis was performed. A total of 54 grape samples, consisting of 52 indigenous (from six different regions/populations), 2 reference samples, 1 identical, 1 synonymous, and 4 homonymous cases, were identified using 6 SSR markers. In the structure analysis, it was observed that there was significant gene flow among the Tunceli region populations. Moreover, through the Bayesian analysis, it was determined that the Tunceli region populations (except for the reference population) had a high degree of admixture. In the FCA analysis (with the reference population), it was found that the Akpazar population in particular and, partially, the Mazgirt population, exhibited distinctions. However, genetic distance data also confirmed the distance of the Akpazar population from others. In the RPPs clustering analyses, while the entire population was distributed across 4 different RPPs, 39 accessions (72%) were assigned to one of the RPPs with a membership probability greater than 80%.
- Derleme MakaleYalnız künye2025Scopus SJRQ1A short review of structural, mechanical and magnetic properties of high and medium entropy alloys added rare earth elements
Yayla, Nihal; Güler, Ömer
This study presents a comprehensive review of the structural, mechanical and magnetic properties of high and medium entropy alloys (HEA and MEA) with rare earth elements (REE) additions. The addition of REE has been shown to have significant effects on phase transformations, microstructural arrangements and thermodynamic stability. Studies in the literature show that REE addition improves properties such as hardness, strength, deformation resistance and magnetic performance. In particular, changes such as transitions from FCC to HCP, formation of intermetallic phases and grain refinement have been observed in phase types with the addition of elements such as Gd, Y and Nd. REE added HEAs offer great potential for modern engineering and advanced technology applications with their superior magnetic moments, magnetocaloric effects and thermal stability. However, there is limited information in the literature on REE added HEAs. This review aims to provide a comprehensive framework for the development of REE added HEAs and to serve as an important reference point for future research.
AtıfScopus7WoS7OpenAlex6İncele