Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(67)
- Merdan, Mehmet(59)
- Duran, Celal(49)
- Ozdes, Duygu(46)
- Kaygusuz, Abdullah(45)
- Demir, Selim(37)
- Turan, Ibrahim(37)
- Karsli, Orhan(36)
- Öztürk, Serkan(35)
- Dokuz, Abdurrahman(34)
- Araz, Onur(32)
- Kandemir, Raif(31)
- Kulakaç, Nurşen(29)
- Sipahi, Ferkan(29)
- Arslan, Mehmet(27)
- Baltaci, Cemalettin(27)
- Baltacı, Cemalettin(27)
- Kurt, Kemal(27)
- Topal, Fevzi(27)
- Gücer, Mehmet Ali(25)
- Peker, Iskender(25)
- Aydin, Faruk(24)
- Bayrakdaroglu, Serdar(24)
- Maden, Nafiz(24)
- Ozturk, Samet(24)
- Vural, Alaaddin(24)
- Yolcu, Halil(24)
- Yücel, Cem(24)
- Aliyazicioglu, Yuksel(23)
- Kankal, Murat(23)
- Reis, Hatice Catal(23)
- Ürkek, Bayram(23)
- Günen, Mehmet Akif(22)
- Kurnaz, Muammer(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(21)
- Ashyralyyev, Charyyar(20)
- Aydin, Aydanur(20)
- Bayraktar, Alemdar(20)
Yayınlar
- MakaleYalnız künye2025Scopus SJRQ2A Novel Numeric-analytic Method for Time-fractional Swift–Hohenberg (S–H) Equation with Modified Caputo-Fabrizio Derivative
Şahin, Yasin; Merdan, Mehmet
This work investigates utilizing Adomian decomposition technique (A-ADM) coupled with Aboodh transform as a hybrid approach the solution of Caputo-Fabrizio (CF) fractional order Swift-Hohenberg problem. Effective framework for modeling memory effects and complex system dynamics is provided by CF fractional derivative defined by non-singular exponential kernel. Classical Swift-Hohenberg equation is expanded to account for long-term memory effects, which are crucial in understanding pattern development and chaotic behavior in many physical systems by including CF fractional derivatives. With the suggested Aboodh-Adomian decomposition technique (A-ADM), an approximate analytical solution is provided showing its efficiency and accuracy in solving fractional nonlinear problem. Furthermore shown are convergence and originality of the solution. Graphical depictions of the acquired solutions make use of MATLAB package software. Theoretical results are confirmed by numerical simulations, which further expose the important influence of fractional order on the dynamic features of the system.
AtıfScopus2WoS2OpenAlex1İncele
- MakaleYalnız künye2025Scopus SJRQ2Mantle genesis and crustal contamination in Carboniferous granitoids using U-Th-K concentrations at the Akşar Pluton in the Eastern Pontides, NE Türkiye
Maden, Nafız; Gücer, Mehmet Ali; Akaryalı, Enver
New radiogenic heat production (RHP) data are presented for Carboniferous granites outcropping in the Akşar region (Bayburt, NE Turkey) to contribute to ongoing debates on the genetic and lithologic relationship between the Akşar and Gümüşhane plutons, which is the most widely distributed granitic rocks in the region. The scope of this study consists of rocks composed of enriched mantle material metasomatized by fluids from the previously subducted plate. We observed average K value for the Akşar Pluton was found to be 3.09 ± 1.58 %. Additionally, average Th/U and U/Th values of 3.95 ± 1.37 and 0.29 ± 0.10, respectively. The calculated RHP value for the Akşar Pluton was 2.20 ± 0.56 μWm−3. Numerical results suggest that the Carboniferous Akşar pluton's primary magma was the product of mixing lithospheric mantle and mid-to-lower crustal melts because of partial melting, differentiation, and emplacement in the shallow continental magma chamber. The geochemical and petrogenetic characteristics of the Akşar region magmas suggest that crustal contamination occurred at multiple levels, particularly within the lower to middle crust of the plutonic core complex. This complex likely retains geochemical signatures indicative of subducted Paleotethys oceanic lithosphere. These findings provide critical insights into the magmatic evolution of the Eastern Pontides, contributing to a more comprehensive understanding of crust–mantle interactions and the broader geodynamic framework of northeastern Türkiye.
- MakaleAçık Erişim2025Scopus SJRQ1Optimizing control strategies for DC-DC boost converters: Real-time application of an adaptive gain scheduled ISA-PI controller with hybrid state-space and linear parameter-varying modelling
Yanarateş, Cağfer
This paper introduces an innovative sophisticated control scheme for a DC-DC boost converter (DCBC), employing an adaptive gain scheduled ISA-PI controller. Addressing the inherent non-minimum phase behaviour arising from a right-half plane zero and the complexities associated with nonlinear dynamics during continuous conduction mode (CCM), the proposed adaptive gain scheduled ISA-PI controller incorporates the distinct adjustable parameter within the controller structure. This parameter is instrumental in enhancing the adaptability of the controller to varied operating conditions. The adaptive ISA-PI controller seamlessly integrates the real-time duty cycle value, replacing traditional tuning variables with precision. The dynamic adjustment of this sole controllable parameter is facilitated through a carefully designed look-up table, employing the loop-shaping method. Verification of the proposed control system’s effectiveness is conducted using MATLAB/Simulink, incorporating a comprehensive comparative analysis against single proportional integral (PI) controllers. The assessment centres on evaluating the system’s precision in tracking desired signals and regulating plant process variables with optimal efficiency, minimizing delays and overshoot. Experimental validation is further undertaken using MATLAB/Simulink/Stateflow on a dSPACE Real-time-interface (RTI) 1007 processor, DS2004 High-Speed A/D, and CP4002 Timing and Digital I/O boards. The experimental results confirm the superior performance of the proposed adaptive gain schedule ISA-PI controller, which has a unique configurable parameter. This controller demonstrated a twofold improvement in tracking speed and significantly improved disturbance rejection, confirming its effectiveness.
AtıfScopus7WoS6OpenAlex4İncele
- MakaleAçık Erişim2025Scopus SJRQ1The relationship between CO2 emissions, renewable energy and economic growth in the US: evidence from symmetric and asymmetric spectral granger causality analysis
Zuhal, Mustafa; Göcen, Serdar
This study analyzes the relationship between renewable energy consumption, CO2 emissions, and economic growth for 1973:M01-2022:M06 in the USA. The study employs Spectral Granger Causality analysis symmetrically and asymmetrically. The symmetric causality test presents a bidirectional causality relationship between CO2 emissions, renewable energy consumption, and economic growth. Regarding asymmetric causality results, there is bidirectional causality between positive and negative shocks of CO2 emissions, renewable energy consumption, and economic growth. The results suggest that renewable energy consumption is essential in increasing sustainable economic growth and environmental quality for the USA.
AtıfScopus20WoS17OpenAlex23İncele
- MakaleAçık Erişim2025Scopus SJRQ4Life Satisfaction and Subjective Well-Being on the Road to Happiness: An Application of Structural Equation Modeling; [Mutluluğa Giden Yolda Yaşam Doyumu ve Öznel Zindelik: Bir Yapısal Eşitlik Modeli Uygulaması]
Somoğlu, Mustafa Barış; Yazici, Ömer Faruk; Paktaş, Yakup; İşbilir, Emine
This study aims to examine the relationships between happiness, life satisfaction, and subjective vitality among student-athletes. Conducted using a correlational survey design, the research included a total of 400 students (149 female and 251 male; Mean age = 21.31 ± 2.32) enrolled in sports sciences programs across three different universities. The data collection tools utilized were the “Subjective Happiness Scale (SHS),” the “Subjective Vitality Scale (SVS),” and the “Life Satisfaction Scale (LSS).” The suitability of the data for analysis was assessed based on skewness and kurtosis values. Data analysis was performed using IBM AMOS V25 software (Chicago, USA), and the relationships between happiness, life satisfaction, and subjective vitality were tested through Structural Equation Modeling (SEM). According to the results of the structural equation model, the path coefficients between vitality, life satisfaction, and happiness were found to be significant. In this context, life satisfaction explains 44% of subjective happiness, while subjective vitality accounts for 54% of. Based on this, it can be suggested that increasing individuals' levels of life satisfaction and subjective vitality may also enhance their levels of happiness.
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- MakaleAçık Erişim2025Scopus SJRQ1External Costs of Road Traffic Accidents in Türkiye: The Willingness-to-Pay Method
Topcu, Rahmi; Coruh, Emine
Traffic accidents remain a major global burden, causing mortality, disability, and socio-economic losses that hinder sustainable development. Beyond human suffering, crashes place long-term pressures on health systems, labor markets, and national economies, disproportionately impacting low- and middle-income countries. Estimating the true societal costs of accidents is therefore essential for designing effective, equitable, and sustainable road safety policies. This study applies the Willingness-to-Pay (WTP) method to evaluate the external costs of traffic-related deaths and injuries in Türkiye between 2008 and 2018. By incorporating material and immaterial losses, the WTP framework captures a broader spectrum of impacts than traditional approaches, offering valuable insights into the scale of welfare losses and the value of risk reduction. The findings reveal that external costs rose substantially over the decade, from 1.63% to 2.72% of national Gross Domestic Product (GDP), underscoring that economic losses from road crashes are growing faster than the economy. These results highlight the need for systematic interventions that integrate road safety into national sustainability agendas, including safer infrastructure, behavioral programs, advanced vehicle technologies, and efficient emergency response systems. The evidence presented strengthens the case for prioritizing traffic safety as a fundamental component of sustainable transport and public health strategies.
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- MakaleAçık Erişim2025Scopus SJRQ1Influence of Silver Doping and Anodization Current Density on Aluminum Surface Properties and Surface Adhesion of Staphylococcus aureus and Escherichia coli
Erbakan, Mustafa; Taşdemir, Muharrem; Şenaslan, Fatih; Sarıbıyık, Oğuz Yunus
In this study, we investigated the influence of crystal structure, topography, and elemental composition of aluminum oxide surfaces on bacterial adhesion. The structural properties of the surfaces were systematically controlled by varying the current density (1.5, 2.0, and 2.5 A/dm2) and silver doping during the anodization process. The resulting changes in structural and morphological properties were examined by using X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (FE-SEM), contact angle measurements, and profilometry. Using FE-SEM analysis, we evaluated the adhesion of model bacteria, Escherichia coli and Staphylococcus aureus, to surfaces exhibiting diverse morphologies and elemental compositions. The surface roughness and crystal size of the aluminum oxide increased proportionally with the applied current density and silver doping. According to the XRD results, the slip plane crystal structure of (311) increased proportionally to the current density but decreased with silver doping. Specifically, while stepped atomic alignment of (311) planes facilitates bacterial attachment, smoother (200) planes reduce the adhered bacteria population. Further analysis via XPS revealed that the oxide crystal structure of undoped surfaces shifted from the tetrahedral to octahedral form with increasing current density, while silver-doped surfaces exhibited the opposite trend. Additionally, increasing current density during the preparation of silver-doped surfaces diminished the ratio of ionic silver to metallic silver, suggesting a lowered propensity for bacterial adhesion. S. aureus adhesion to undoped surfaces increased 4.46-fold for surfaces prepared at 2.5 A/dm2 compared to that at 1.5 A/dm2. Moreover, E. coli adhesion was completely inhibited on silver-doped surfaces anodized at 1.5 A/dm2. Reducing the surface roughness and incorporating silver during the anodization of aluminum surfaces decrease the number of bacteria adhering to aluminum oxide surfaces.
- MakaleAçık Erişim2025Scopus SJRQ1Corrosion and structural properties of lightweight magnesium and aluminum alloy cores based sandwich composites
Keleş, Abdulsamet; Karabudak, Filiz; Acar, Volkan; Kula, M. Emin; Aslan, Mustafa; Karabacak, A. Hasan; Alibeyoğlu, Fatih
Metal plate core-based sandwich composites have the potential to revolutionize various industrial fields due to their mechanical strength and vibration damping. In this study, AZ91 (a magnesium alloy) and Al1050 (an aluminum alloy) metal core-based sandwich composites of AZ91/carbon fiber-epoxy, AZ91/glass fiber-epoxy, Al1050/carbon fiber-epoxy, and Al1050/glass fiber-epoxy sandwich composites were manufactured. These composites' mechanical and dynamic properties were determined through tensile, three-point bending, and vibration tests. AZ91-reinforced carbon fiber composites exhibited a 28.8% higher tensile strength than glass fiber composites, while Al1050-reinforced carbon fiber composites showed a 17.2% higher tensile strength performance than glass fiber composites. Moreover, AZ91 reinforcement led to composites with higher average flexural strength for both fibers. In vibration tests conducted under clamped and free-free boundary conditions, the highest first natural frequency was observed in AZ91/carbon fiber samples, sparking further interest. Conversely, the highest first damping ratio was observed in Al1050/glass fiber specimens. In addition, the corrosion behavior of sandwiches was evaluated, and it was found that glass fiber provided better corrosion resistance than carbon fiber. Highlights: Sandwich composites comprising AZ91/Al1050 cores and carbon/glass fiber reinforced epoxy face sheets were manufactured. Galvanic corrosion effects were evaluated, and glass fiber was found to provide higher corrosion resistance. AZ91/carbon fiber sandwich showed 28.8% higher tensile strength than glass fiber. Vibration tests revealed the AZ91/carbon fiber sandwich had the highest first natural frequency. Al1050/glass fiber sandwich exhibited the highest first damping ratio.
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- MakaleAçık Erişim2025Scopus SJRQ3Investigation of the impact of instagram access restriction on individuals' psychological well-being, social and cultural perceptions, and adaptation strategies
Özen, Üstün; Çam, Handan; İpkin, Metin; Kaldırımcı, Şahin Göktuğ
This study comprehensively examines the psychological impacts of the Instagram access ban implemented in Turkey between August 2, 2024, and August 10, 2024, how these impacts are reflected in social consequences and cultural perceptions, and also assesses the adaptation strategies that individuals develop in response to the ban. Data were collected from 80 participants residing in Erzurum through online surveys and analyzed using MAXQDA 24 software. The findings suggest that the access ban had various psychological effects, with some participants experiencing changes in their social relationships and difficulties in accessing information. The impacts on social bonds and solidarity varied among participants, with some cases showing intensified social interactions. In terms of cultural perceptions, changes were observed in individuals' views on freedom and expression rights. The study provides important insights into how social media access bans can influence individual perceptions and social structures, suggesting that these findings could contribute to shaping social media policies.
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- MakaleYalnız künye2025Scopus SJRQ1First responders’ thoughts and experiences about the international search and rescue teams during the Kahramanmaras earthquakes
Kolcu, Veysel Karani; Mızrak, Sefa
National capacity may be insufficient for disasters that affect many settlements and people simultaneously. This situation requires international humanitarian assistance for post-disaster search and rescue, public health, nutrition, security, and coordination. The objective of this study was to reveal the opinions of first responders about the work of the (international search and rescue) ISAR teams following the earthquakes that occurred in Türkiye on 6 February 2023. Data were collected using a semi-structured interview form with 41 first responders who had worked with them or observed their work, and analyzed via thematic analysis using the MAXQDA 24 programme. The results were presented under seven themes: devotion, equipment and material sufficiency, knowledge and experience, coordination, cooperation, communication, and psychological resilience. The first responders stated that the ISAR teams worked wholeheartedly and that their knowledge, expertise, and equipment were sufficient and advanced. They also indicated that the teams worked in a coordinated manner and that their harmony with local teams and the public was great. However, when working with them, language-related communication barriers negatively affected the workflow. The results of this study will provide insight to organisations and managers who develop and implement international humanitarian aid policies.
- MakaleAçık Erişim2025Scopus SJRQ1Efficiency analysis using the machine learning algorithms: model development and verification
Soydaş, Şafak Sönmez; Kalkan, Yusuf; Çam, Alper Veli; Barut, Abdulkadir
Recently, machine learning (ML) algorithms have been employed intensively in the field of finance as in all sectors. The issues such as financial distress prediction, bank credit risk calculation, etc., have been analyzed using ML algorithms. This study aimed to determine firm performance with the data envelopment analysis (DEA) method, sensitivity analysis, and ML algorithms and analyze the efficiency of companies via artificial neural networks (ANNs), support vector machines (SVMs), and logistic regression (LR) classification algorithms. In the study, first, 10 financial ratios were categorized into two parts, such as output and input, and efficiency scores were determined in MS Excel software. The obtained scores were included in the ML algorithm as a categorical dependent variable. Secondly, the data were extracted and included in the analysis software as 80% training and 20% test data, and the accuracy of ML algorithms was tested. Lastly, a comparative analysis of the estimation and classification algorithms of active and inactive companies was conducted. As a result of the analysis, the best classification prediction was seen as the ANN algorithm. SVM and LR algorithms also made an acceptable level of classification prediction. It was expected that the study would have contributed to the literature in terms of testing the companies whose efficiency scores were determined by the DEA method with ML techniques and determining which technique was more successful.
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- MakaleAçık Erişim2025Scopus SJRQ4A Rare Case of Tail Bifurcation in Ophisops elegans from Western Anatolia; [Batı Anadolu’dan Ophisops elegans’ta Nadir Bir Kuyruk Çatallanması Vakası]
Bayram, Çağatay; Çelebi, Turan Meriç; Çevik, Emre; Kuyucu, Arda Cem; Kurnaz, Muammer; Şahin, Mehmet Kürşat
Tail autotomy is a common and highly effective defensive mechanism observed in many lizard species, allowing individuals to escape predators by shedding a portion of their tail. This behavior, while beneficial for survival, can sometimes result in typical outcomes during tail regeneration. One such rare disorder is tail bifurcation often due to incomplete or misdirected regenerative processes. On June 23, 2025, during fieldwork in the rural areas of Afyonkarahisar Province, a female snake-eyed lizard (Ophisops elegans), belonging to the Lacertidae family, was observed with a clearly bifurcated tail. The specimen was captured and examined briefly, and morphometric, biotic, and environmental data were recorded. Photographs were taken to document the anomaly, and the specimen was subsequently released in its habitat. This field observation contributes to the growing number of bifurcated tail reports in Lacertidae and emphasizes the value of in situ herpetological monitoring. Observations in this study enhance our understanding of caudal autotomy and tail regeneration and also provide insights into developmental biology, wound healing, and ecological implications of tail malformations in natural populations.
- MakaleAçık Erişim2025Scopus SJRQ2Intersectionality in Social Justice: Unpacking the Complexity of Oppression
Suyahman; Karimullah, Suud Sarim; Syahril, Muh. Akbar Fhad
This study aims to understand, explain, and address the complexities of oppression in a multicultural and multiethnic society such as ASEAN. This study uses a law-based methodological approach that integrates intersectionality, postcolonial, feminist, critical race, and queer theories concerning international legal instruments. Based on the results of the study, mapping the landscape of intersectionality in ASEAN reveals how the interaction of gender, race, class, religion, and sexual orientation creates multiple discriminations, such as those experienced by female migrant workers, the LGBTQ+ community, and religious and ethnic minorities, who are often marginalised in legal systems and public policies. While international instruments demand protection without discrimination, inconsistent implementation of laws in ASEAN exacerbates existing structural injustices. Therefore, a transformative strategy for social justice in ASEAN requires a rights-based approach that focuses on empowering vulnerable groups, their active participation in decision-making processes, and legal reforms that integrate principles of intersectionality to ensure equitable access to justice. This approach can only succeed if ASEAN countries align domestic policies with international standards, strengthen inclusive legal systems, and empower regional mechanisms such as the ASEAN Intergovernmental Commission on Human Rights (AICHR) to more effectively uphold human rights in the region.
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- MakaleAçık Erişim2025Scopus SJRQ1Hematology patients’ metaphorical perceptions of the disease and psychosocial support needs in the treatment process: a phenomenological study from a rural region of Türkiye
Uzun, Sevda; Ediz, Çiçek; Mohammadnezhad, Masoud
Purpose: Although health services and access to these services have increased worldwide, there are still major barriers to access to health services, especially for rural, poor, and disabled individuals. The aim of this study was to evaluate the metaphorical perceptions of hematology patients living in rural areas in Türkiye about the disease and their psychosocial support needs during the treatment process with a phenomenological approach. Methods: In this study, in which the phenomenological research method was used, semi-structured in-depth interviews were conducted with 14 hematology patients receiving treatment in a state hospital in a province in the eastern region of Türkiye. Criterion sampling method, one of the purposive sampling methods, was used to reach the sample group. Interviews continued until data saturation was achieved. The data of the study were evaluated using thematic analysis. The study was conducted and reported according to the COREQ checklist. Results: Data analysis revealed two main themes including the following: metaphorical perceptions towards hematologic cancer with the sub-themes of emotional turmoil, social alienation and stigma and physical debilitation, and pathways to resilience with the sub-themes of disease process management, inner resilience and faith, and psychosocial support. Conclusion: This study revealed that the adaptation process of patients to hematologic cancer is quite difficult, and psychosocial support is an indispensable requirement for them in their lives. In order for patients and their families to cope with this very difficult disease process, it is thought that providing them with a higher level of psychological support will be beneficial in coping with the disease effectively.
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- MakaleAçık Erişim2025Scopus SJRQ1How does loneliness affect satisfaction with life? What is the role of the perception of God in this interaction?
Kaya, Feridun; Yazıcı Çelebi, Gülin
Introduction: This study examined the role of loneliness and the perception of God in affecting the satisfaction with life of Muslim individuals living alone in Turkey during the COVID-19 pandemic. Additionally, the study explored the regulatory role of the perception of God in the relationship between individuals’ loneliness and satisfaction with life. Methods: The research is a cross-sectional study that evaluates individuals’ loneliness, satisfaction with life, and perception of God. The study group consists of 378 individuals living alone in Turkey. Among the participants, 196 are women (51.9%) and 182 are men (48.1%). The UCLA loneliness scale, the satisfaction with life scale, the perception of God scale, and a personal information form were used as data collection tools in the study. Results: The examination of research findings indicated that the variables of loneliness, perception of God, and the interaction between loneliness and the perception of God explained 28% of the variance in individuals’ satisfaction with life. We determined that satisfaction with life was affected significantly and positively by the perception of God (β = 0.28, p < 0.001) and significantly and negatively by loneliness (β = −0.38, p < 0.001). The interactional effect of the variables of loneliness and perception of God on satisfaction with life was also found to be significant (β = −0.10, p = 0.023). When we examined the details of the regulatory effect, we found that the effect of loneliness on satisfaction with life decreased even more in cases where the perception of God was high. Discussion: The research findings suggest that loneliness decreases life satisfaction, while positive self-image mitigates this effect. It can be stated that using belief-sensitive therapeutic approaches in the therapeutic process could contribute to alleviating the negative effects of loneliness.
AtıfScopus6WoS5İncele
- MakaleAçık Erişim2025Scopus SJRQ3Lightweight Transformer Model for Agricultural Land Use and Land Cover Classification
Celik, Kemal
Observing agricultural land use via remote sensing images is essential for ensuring food security, estimating yields and planning efficient exports nonetheless precise classification continues to be difficult because of the varied and evolving characteristics of agricultural environments. This research aims to evaluate and optimize advanced deep learning architectures particularly Vision Transformer (ViT) models for agricultural land-use classification tasks. Specifically, we employed ViT-Base-16 and other lightweight models DeiT-Tiny and EfficientNet-B0 applying techniques such as model layer compression and advanced data augmentation CutMix and Cutout to achieve high accuracy while significantly reducing computational complexity. Evaluation was performed using three benchmark remote sensing datasets EuroSAT, NWPU-RESISC45 and SIRI-WHU which include diverse spatial resolutions and agricultural classes relevant for practical monitoring. Findings indicate that the optimized ViT algorithm is highly effective in recognizing global spatial connections, consistently achieving remarkable classification accuracy exceeding 99% on a newly assembled dataset containing around 200 samples of Google Earth imagery. Furthermore, for the first time in agricultural image classification compressing the ViT-Base model by pruning 50% of its layers significantly reduced complexity maintaining competitive accuracy 97.9% on SIRI-WHU. The resulting models are particularly suitable for deployment on devices with limited computational resources supporting real-world operational agricultural monitoring systems. This study emphasizes the revolutionary possibilities and practical use of optimized transformer-based models that offer scalable and efficient solutions specifically designed for precision agriculture applications.
- MakaleYalnız künye2025Scopus SJRQ1Spatial and temporal patterns of drought under different scenarios for Türkiye in the 21st century
Yıldız, Mehmet Berkant; Nacar, Sinan; Şan, Murat; Kankal, Murat
This study investigates the impact of climate change on drought conditions in Türkiye for two distinct future periods: the near future (2021–2050) and the far future (2071–2100), under two emission scenarios (RCP4.5 and RCP8.5). High-resolution regional climate projections from 19 GCM-RCM combinations within the EURO-CORDEX framework were evaluated. Based on performance analysis against ERA5-Land data, the four best-performing models were selected for multi-model ensemble averaging (MMEA). Drought conditions were assessed using the Standardized Precipitation Index (SPI) at 3-, 6-, and 12-month time scales. Three trend analysis methods, Innovative Trend Analysis (ITA), Modified Mann-Kendall (MMK), and Sen's Slope, were applied to examine spatiotemporal drought patterns. SPI-based analyses show a significant increase in short- and medium-term variability (SPI-3 and SPI-6) and long-term droughts (SPI-12), especially in the Central Anatolia, Southeastern and Eastern regions. The applied trend detection methods consistently point to a widespread drying tendency, with more pronounced changes projected in the latter half of the century. Under the RCP4.5 scenario, although the drought signals are less severe, the persistence of negative trends highlights that Türkiye will still be at risk, even with moderate efforts to mitigate climate change. These findings underscore the urgent need for integrating climate-driven drought projections into national and regional planning efforts.
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- MakaleAçık Erişim2025Scopus SJRQ2Exploring the Correlation of Physiological Stress Signals with Student Exam Performance: A Preliminary Study
K. Kasap, Ayşegül; Kurt, Burçin
Stress responses in real-world settings are less studied compared to controlled laboratory environments, limiting our understanding of their impact on cognitive performance. This study investigates the relationship between physiological stress signals and academic performance using an open-access dataset of 10 students assessed across three exam sessions (Midterm 1, Midterm 2, and Final Exam). Physiological measures, including electrodermal activity (EDA), heart rate (HR), and skin surface temperature (TEMP), along with exam grades, were analyzed using traditional hypothesis testing, bootstrap method, correlation analysis, and regression tree modeling. To address the small sample size, we validated traditional hypothesis test results with the bootstrap method, and both approaches were compatible. Hypothesis testing revealed no significant differences in physiological measures across exam sessions, supporting the null hypothesis. Grades differed significantly between the final exam and both midterms (p < 0.05). Stress fluctuations were also analyzed across three periods (beginning, middle, and end) for each exam, revealing temporal response variations. Correlation analysis showed a moderate negative relationship between EDA and HR (r = − 0.504, p < 0.01) and a weak positive relationship between EDA and TEMP (r = 0.417, p < 0.05), both intensifying during the final exam. Regression analysis explained 78% of the variance in grades (R2 = 0.78), with regression tree modeling identifying lower skin temperature (< 28 °C) and higher EDA (≥ 0.19) as predictors of poorer performance. These findings underscore the interplay between physiological stress responses and academic outcomes, emphasizing the need for further research and interventions to support student success.
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- MakaleAçık Erişim2025Scopus SJRQ1Cyber incivility: the silent threat shattering teachers’ mental health and happiness at work. Does gender matter?
Demirbağ, Orkun; Örs, Şerife
The COVID-19 pandemic brought significant changes to the education sector, forcing a rapid shift to distance learning that exposed teachers to new challenges, including cyber incivility. This study, grounded in the Conservation of Resources Theory, investigates how mental health problems mediate the relationship between cyber incivility and happiness at work, with gender as a moderating factor. Data were collected from 632 high school teachers in Türkiye, who participated in distance education, using hypothetical scenarios and analysed through the Hayes Process Macro Model 4 and Model 7. The findings reveal that mental health problems significantly mediate the impact of cyber incivility on workplace happiness, with gender moderating this relationship. Specifically, female teachers experienced more mental health issues due to cyber incivility compared to their male counterparts. This research highlights the harmful effects of cyber incivility on teachers’ mental health and provides critical insights for developing policies to address these challenges. The study emphasises the importance of supporting teachers’ well-being amidst the ongoing digitalisation of education. By addressing these issues, the study contributes to a better understanding of the complexities educators face in the evolving digital landscape.
AtıfScopus3WoS1OpenAlex1İncele
- MakaleAçık Erişim2025Scopus SJRQ2Suicide attempts history and affecting psychosocial challenges in individuals with substance use disorders: A qualitative study from a rural region of Türkiye
Uzun, Sevda; Ediz, Çiçek; Torun, Serap; Erdaş, Mehmed Burak
Objective: This study aimed to evaluate the suicide attempts histories and affecting psychosocial challenges in individuals with substance use disorders (SUD). Methods: This study was conducted between August and October 2023 using an inductive qualitative design. Purposive sampling method was used to reach the sample group. The study included individuals with substance use disorders who had attempted suicide at least once. They were being treated at an Alcohol and Substance Addiction Treatment Center in the eastern region of Türkiye. Interviews continued until data saturation was achieved with 13 participants. All interviews were audio recorded and then transcribed. The research adhered to the COREQ checklist. Results: Three main themes (etiological factors in SUD, challenges in coping with SUD and suicide) and ten sub-themes (family-based factors, environmental factors, traumatic experiences, personal factors, psychological, physical, and social factors, the causes and methods of substance use, and emotions) emerged in the analysis of the data. Conclusion: Given the connection between substance use and suicide, it is crucial to recognize and comprehend the increased risk of suicide among individuals with SUD and identify potential comorbid disorders and accompanying mental health issues. Psychiatric and mental health nurses can use effective psychosocial interventions to impart knowledge related to SUD management, organize grouptherapy (i.e., peer support), perform to ensure continuity of treatment and improve individuals' self-management skills.


















