Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(116)
- Şahin, Engin(48)
- Kaya, Yunus(46)
- Özen, Soner(46)
- İspirli, Hümeyra(45)
- Pat, Suat(44)
- Şenay, Volkan(42)
- Korkmaz, Şadan(36)
- Yilmaz, Mustafa Tahsin(33)
- Kutlu, Naciye(32)
- Cuce, Erdem(31)
- Öner, Erdal(31)
- Artar, Musa(30)
- Ertugrul, Mehmet(29)
- Hasar, Ugur Cem(29)
- Mercan, Emin(28)
- Bayraktar, Bülent(27)
- Bayram, Sinan(27)
- Can, Zehra(25)
- Ecem Bayram, Nesrin(25)
- Çolak, Murat(23)
- Özdemir, Akın(23)
- Cuce, Pinar Mert(22)
- Sert, Durmuş(22)
- Ayata, Ümit(21)
- Bayram, Ozkan(21)
- Dirican, Ebubekir(20)
- Abdioglu, Murat(19)
- Ayazoglu, Rabil(19)
- Birinci, Ahmet(19)
- Kamiloğlu, Aybike(19)
- Gerçek, Yusuf Can(18)
- Taylan, Osman(18)
- Tozlu, Alperen(18)
- Gul, Volkan(15)
- Hasar, Ugur C.(15)
- Kadakal, Mahir(15)
- Sagdic, Osman(15)
- Ergün, Mustafa(14)
- Kadakal, Huriye(14)
Yayınlar
- Derleme MakaleAçık Erişim2025Scopus SJRQ1Effects of plant-derived antioxidants to the oxidative stability of edible oils under thermal and storage conditions: Benefits, challenges and sustainable solutions
Yildiz, Aysun Yurdunuseven; Öztekin, Sebahat; Anaya, Katya
The stability of edible oils significantly influences their quality, safety, and shelf life. While synthetic antioxidants have traditionally been used, the growing consumer interest in food safety and sustainability has shifted focus towards natural alternatives. Plant-derived antioxidants offer a promising solution, enhancing oxidative stability while meeting clean-label demands. This review examines recent advancements in using plant-derived antioxidants, such as extracts, essential oils, and agro-industrial by-products, to inhibit lipid peroxidation and improve edible oils' oxidative and thermal stability. Natural antioxidants from peels, seeds, spices, fruits, and vegetables effectively reduce hydrolysis, polymerization, and secondary oxidation products. Despite their potential, challenges remain, including impacts on sensory attributes, regulatory compliance, and the need for standardized extraction and application protocols. Addressing these limitations can advance sustainable food preservation and encourage the integration of natural antioxidants in the food industry, contributing to a more sustainable economy and shelf life.
AtıfScopus51WoS51
İncele - MakaleYalnız künye2025Scopus SJRQ2Attitudes of physical education teachers in inclusive schools towards teaching autistic students: a phenomenological study
Oğur, Yekta Göksel; Yarımkaya, Erkan; Aydemir, Uğur; Kul, Murat
With the increasing presence of autistic students in inclusive schools, understanding the attitudes of physical education (PE) teachers towards teaching these students has become important. The current study aimed to examine the attitudes of PE teachers in inclusive schools towards teaching autistic students using the theory of planned behavior. The participants of this phenomenological-qualitative study were 16 PE teachers who participated in one-on-one semi-structured telephone interviews. The interviews were transcribed for analysis and later analyzed using thematic line-by-line analysis. The findings revealed that the majority of PE teachers in inclusive schools had negative attitudes towards teaching autistic students. Barriers and challenges during teaching autistic students were more dominant for PE teachers than facilitators. The results highlighted the importance of addressing the barriers and challenges that limit the quality of PE teachers’ teaching experiences with autistic students as a way to improve PE teachers’ attitudes and indicated the need to establish an adapted PE teacher definition, especially in countries such as Türkiye.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ2A shear deformable numerical approaches for the static analysis of bi-directional functionally graded beams
Turan, Muhittin; Kahya, Volkan; Yaylacı, Ecren Uzun; Yaylacı, Murat
This paper introduces a highly accurate and computationally efficient shear deformable finite element model for the static analysis of bi-directional functionally graded beams (BD-FGBs) with various boundary conditions grounded in the first-order shear deformation theory (FSDT). The model, featuring ten degrees of freedom across five nodes, excels in capturing both axial and shear deformations with remarkable precision while maintaining a streamlined formulation. In a novel approach, Artificial Neural Network (ANN) methods are also employed alongside the finite element analysis, offering a dual-method investigation into the static behavior of BD-FGBs. This paper aims to further advance the understanding of BD-FGM beams by exploring their static behavior under diverse loading conditions and boundary constraints, employing advanced finite element methods and artificial neural network techniques. The material properties are modeled through power-law distributions, and the governing equations are derived from Lagrange’s principle. Displacements and stresses were computed under different boundary conditions (BCs), slenderness ratios (L/h), and power-law indices (px, pz). Comparative analysis with existing literature reveals the superior suitability of the proposed finite element model for static analysis, while the ANN approach further reinforces its potential as a robust, complementary tool. The innovative combination of these methods promises to offer significant contributions to the field and provides new insights into the behavior of BD-FGBs under static loads.
AtıfScopus20WoS24OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1Physicochemical characterization of glucan AK7 produced by quinoa sourdough isolate Leuconostoc mesenteroides AK7
İspirli, Hümeyra; Arslan, Şeyma; Tuncer, Fatma; Kasapoglu, Muhammed Z.; Ortakcı, Fatih; Tuncil, Yunus Emre; Dertli, Enes
The production of exopolysaccharides (EPS) by Lactic Acid Bacteria (LAB) is technologically crucial because it has a wide range of applications in food technology, biotechnology, and health. In the present work, a new quinoa sourdough isolate of Leuconostoc mesenteroides strain AK7 was identified as a novel producer of a dextran-type EPS. The monomeric units of EPS AK7 were confirmed by HPLC analysis, while NMR spectroscopy and GC–MS linkage analysis further verified the EPS structure as a branched dextran containing mainly (1 → 6)-linked α- D -glucose units with (1 → 3,6)-linked α- D -glucose unit as branching points. An average molecular weight of 1.2 × 106 Da was detected for glucan AK7. FTIR analysis was applied to determine the functional units of dextran AK7. In terms of thermal features, TGA and DSC analysis were applied and a specific degradation temperature of 300 °C was found for dextran AK7. The morphology of the lyophilized EPS displayed a rough, dense, and porous structure, as observed through SEM analysis. Dextran AK7 revealed a semi-crystalline nature detected by XRD analysis. These structural and functional properties of dextran AK7 produced by Leuconostoc mesenteroides AK7 from quinoa sourdough suggest its potential usage for food industry applications.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ4Effects of Different Plyometric Training on Some Biomotor and Taekwondo Technical Performance in Taekwondo Athletes; [Farkli Pliometrik Antrenmanların Taekwondo Sporcularında Bazı Biyomotor ve Taekwondo Teknik Performansına Etkisi]
Kul, Murat; Aydemir, Burakhan
The aim of this study is to examine the effects of different plyometric training methods on the biomotor and taekwondo technical performance of 14-16-year-old taekwondo athletes. The study utilized two different training methods: plyometric exercises on sand and plyometric exercises on taekwondo mats, with a control group performing only regular taekwondo training. The study included 66 athletes, all with at least 5 years of taekwondo experience, from Trabzon, Turkey, in 2024. Participants were divided into two experimental groups: Group 1, performing plyometric exercises on sand, and Group 2, performing plyometric exercises on taekwondo mats. After an 8-week training program, biomotor and technical performance tests were applied to all groups for comparison. The data were tested for normal distribution using the Kolmogorov-Smirnov test, and since the data did not show normal distribution, non-parametric tests were used for analysis. Wilcoxon tests were applied for within-group comparisons, while Kruskal-Wallis tests were used for between-group comparisons. In cases where significant differences were found, Post hoc multiple comparison tests with Bonferroni correction were used to identify which groups showed the differences. The results showed that all groups demonstrated significant improvements in biomotor and technical performance parameters after the training programs. Group 1, the sand-based plyometric training group, showed more pronounced improvements in speed, agility, jump, balance, and technical performance parameters. The findings suggest that sand-based plyometric training has a significant impact on sports requiring speed, power, endurance, and technical skills, such as taekwondo.
AtıfScopus2WoS2İncele - MakaleAçık Erişim2025Scopus SJRQ1Cognitive bridges from digital reading to writing: Investigating the mediating role of reading disposition
Banaz, Emrullah
This correlational study explores how digital reading disposition functions as a cognitive bridge between pre-service teachers' digital reading self-efficacy and their attitude with digital writing practices. The data were collected from 410 conveniently selected pre-service teachers using the Digital Reading Self-Efficacy Scale, the Digital Reading Disposition Scale, and the Digital Writing Attitude Scale. The results revealed moderate to strong correlations between digital reading self-efficacy, digital reading disposition, and digital writing attitudes. Moreover, digital reading disposition was found to mediate the relation between digital reading self-efficacy and digital writing attitudes. Overall, our findings underscore the significance of digital reading disposition in shaping both the potential of digital reading self-efficacy and the processes involved in digital writing among pre-service teachers. Pedagogical strategies that enhance digital reading self-efficacy and motivation to attitude with digital texts may contribute to the development of more effective digital writing skills among pre-service teachers.
AtıfScopus2WoS1OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2The effect of training given to patients who underwent ureteroscopy with double-J stent placement on anxiety before and after surgery and readiness for discharge
Toraman, Muazzez Merve; Gürçayır, Dilek
Patient education is effective in reducing the level of anxiety before and after surgery and increasing the level of readiness for discharge. Patient education provided by nurses can be planned and applied individually. Therefore, this study aims to determine the effect of the education in whom a double J stent after ureteroscopy on their pre- and postoperative anxiety and levels of readiness for discharge. This research study is a randomized controlled trial with control and intervention groups, pre- and posttests. This study was conducted between November 2021 and May 2022 in a university hospital in Turkey. The patients were divided at random into two groups, control (n = 61) and intervention (n = 61). The Personal Information Form, State-Trait Anxiety Inventory (STAI-I, STAI-II), Surgery-Specific Anxiety Scale (SSAS), Readiness for Hospital Discharge Scale for Adult Patients-Short Form (RHDS/SF) and Readiness for Hospital Discharge Scale- Adult-Nurse Assesment Short Form (RN-RHDS/SF) were used to collect the data. The mean SSAS and STAI-I scores on the morning of surgery and before discharge were found to be significantly lower in the intervention group than the control group. The mean RHDS/SF and RN-RHDS/SF scores on the before discharge were found to be significantly higher in the intervention group than the control group. It was concluded that the education provided to the patients in whom a double J stent after ureteroscopy reduced pre- and postoperative anxiety and increased the level of readiness for discharge.
AtıfScopus5WoS3OpenAlex6İncele - MakaleYalnız künye2025Scopus SJRQ1Artificial intelligence, automation and employment dynamics: empirical evidence from G7 economies
Okur, Fatih; Özdemir, Enes
Purpose – This study examines how the rapid adoption of artificial intelligence (AI) and automation affects employment dynamics across G7 economies. While previous research has often focused on either AI or robotics in isolation, their combined and long-term effects on employment remain poorly understood. Addressing this gap is crucial for policymakers seeking to balance technological progress with labor market stability. Design/methodology/approach – Using a balanced panel dataset covering 2010–2024 for the G7 countries, the study investigates the relationships between AI investment (proxied by information and communication technology (ICT) investment), robot density (ROBOT), wages, productivity (PRD) and education spending (EDU), and their impact on employment. The analysis employs panel unit root and cross-sectional dependence tests, a panel autoregressive distributed lag (ARDL) framework estimated via the pooled mean group (PMG) estimator, and robustness checks using Driscoll–Kraay fixed effects, common correlated effects (CCE) estimators, country-specific regressions and Dumitrescu–Hurlin panel causality tests. Findings – The results reveal that AI investment has a significant negative effect on employment in the long run, whereas ROBOT shows a positive but context-dependent relationship. Wage levels are negatively associated with employment, while PRD shows only a modest positive influence. Education expenditure exhibits mixed behavior – positive in the short run but negative in the long run – suggesting potential misalignment with evolving labor market needs. Causality tests confirm a unidirectional link from AI investment to employment, underscoring its structural role in labor market change. Research limitations/implications – This study is limited by data availability, particularly the lack of detailed sectoral or occupational breakdowns across countries. As a result, it cannot fully capture the distributional effects of AI and automation across different worker groups. The use of proxies, such as ICT investment for AI, may not reflect the full scope of AI deployment. Despite these limitations, the findings highlight important macro-level dynamics and suggest that technological investments significantly shape employment trends. Future research should utilize micro-level data to explore sector-specific impacts, wage effects and labor force transitions in response to digital transformation. Practical implications – The findings suggest that without targeted policy interventions, increased AI investment may displace workers in the long run. Policymakers should prioritize reskilling, adapt education systems to evolving technological needs, and differentiate strategies across sectors and worker skill levels. Social implications – This study highlights the potential for AI and automation to reshape labor markets, with implications for income distribution, job security and social cohesion. The displacement of routine jobs may disproportionately affect low-skilled and vulnerable workers, increasing the risk of inequality and social exclusion. To prevent deepening divides, social policies must focus on equitable access to education, digital literacy and lifelong learning. Supporting workforce adaptability through inclusive training programs and social safety nets is essential. The results underscore the urgent need for collaborative efforts between governments, educational institutions and industries to ensure a socially sustainable digital transformation. Originality/value – This study is among the first to jointly analyze AI and robotics within a dynamic panel framework, offering new cross-country evidence on their heterogeneous employment effects in advanced economies. By integrating multiple estimation strategies and country-specific perspectives, the paper contributes to a more nuanced understanding of how technological transformation reshapes labor markets and highlights the institutional conditions that mediate these effects.
AtıfScopus5WoS5OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Contact mechanics of functionally graded orthotropic layer under normal traction and gravity: an analytical perspective
Öner, Erdal; Al-Qado, Ahmed Wasfi Hasan
Contact mechanics is a complex and advanced field of engineering, with continuous research dedicated to modeling and examining contact problems in multilayered and multibody systems. Given that fatigue and fracture failures often result from contact loads, precise determination of subsurface stresses is crucial for the design of mechanical components. This study provides an exact analytical solution for the frictionless indentation of a functionally graded (FG) orthotropic layer by a rigid cylindrical punch. The FG orthotropic layer, which rests on a rigid, non-adhesive substrate, is treated as a nonhomogeneous medium with an orthotropic stress–strain relationship. Part of its top surface experiences normal tractions, while the rest remains traction-free. The analysis also incorporates the gravitational force affecting the FG orthotropic layer. Five distinct real orthotropic materials are used, each with individually graded stiffness constants in their principal directions, to define the FG orthotropic behavior of the material. The governing equations are formulated using the singular integral equation method and transformed into algebraic systems via the Gauss–Chebyshev integration technique. A comprehensive parametric study examines how variations in dimensionless punch radius, compressive force, inhomogeneity parameters, and body force influence contact widths, contact pressures, normal and shear stresses, critical load factor, and the initial point of interface separation.
AtıfScopus9WoS9İncele - MakaleAçık Erişim2025Scopus SJRQ2ChatGPT-Delivered Physical Activity Intervention for Children With Autism Spectrum Disorder: Pre-Post Feasibility Study
Aydemir, Uğur
Background: The use of digital technologies, such as mobile apps, Zoom (Zoom Communications), virtual reality, and video games, to promote physical activity in individuals with autism spectrum disorder (ASD) has been increasing. However, there are no studies using ChatGPT (OpenAI), a popular tool in recent years, for promoting physical activity in children with ASD. Objective: This study aimed to evaluate the feasibility and potential effectiveness of ChatGPT-delivered physical activity interventions in children with ASD. Methods: A total of 26 families (parent-child dyads) participated in the study. Families were randomly assigned to an application group (n=13) and a control group (n=13). In the application group, parents implemented physical activities recommended by ChatGPT for their children with ASD. Data were collected using the Leisure Time Exercise Questionnaire (LTEQ) and a feasibility questionnaire. Results: Parents reported that ChatGPT-delivered physical activities were a feasible intervention to increase physical activity levels in children with ASD. They also found the activity content suggested by ChatGPT to be interesting and useful. LTEQ measurements corroborated these findings, showing a significant increase in the physical activity levels of children in the intervention group after the intervention. Conclusions: The results suggest that ChatGPT-delivered physical activities could be a promising intervention to enhance physical activity in children with ASD. Further investigation is warranted.
AtıfScopus16WoS14OpenAlex21İncele - MakaleAçık Erişim2025Scopus SJRQ1Examination of trauma levels and earthquake stress coping strategies of university students who exercise and do not exercise after an earthquake
Çakır, Zekai; Erbaş, Ülfet; Gönen, Mevlüt; Ceyhan, Mehmet Ali; Öktem, Tuncay; Kul, Murat; Dilek, Ahmet Naci; Güzel, Sema
Background: Earthquakes are calamities of devastating nature that induce longterm post traumatic stress on affected victims. As such, they are recognized worldwide as being huge sources of stress. In this research study, the first objective is to assess the level of trauma and earthquake stress of university students who exercise and those who do not. Methods: This study utilized the descriptive survey research method. The sample comprised 378 male and 300 female students who experienced the socially detrimental 7.7 Mw and 7.6 Mw earthquakes in Turkey on February 6, 2023. The data were both face-to-face and via computer-administered questionnaire with the tools of “Post-Earthquake Trauma Level Scale” and “Earthquake Stress Coping Strategies Scale.” After checking for normality, the parametric tests were used, the t-test to compare two groups of data, and ANOVA for three or more groups of data. Furthermore, Pearson correlation analyses were performed to compare the interactions between students who exercise and those who do not. Results: The study found that gender affected trauma levels, with female students (X = 73.483) exhibiting significantly higher trauma levels than male students (X = 68.799) (p < 0.001). Students who engaged in regular physical activity (X = 67.71) were found to have lower trauma levels compared to those who did not exercise (X = 71.97). Participants who feared being caught by the earthquake at home or school (X = 73.32), experienced the loss of someone close (X = 88.10) or believed that adequate precautions against the earthquake had not been taken (X = 71.73) had higher trauma scores. According to the results of the ANOVA test, students from the Departments of Sports Sciences (X = 69.78) and Religious Studies (X = 69.63) were observed to have lower trauma levels. Pearson correlation analysis showed a positive and moderate relationship between trauma levels and earthquake stress coping strategies among students who engaged in regular physical activity (r =.176, p < 0.01). Conclusions: The research identified that factors such as gender, regular exercise, the experience of losing a loved one, and the perception that insufficient precautions were taken all significantly influence trauma levels. Moreover, the findings highlighted that regular physical exercise serves as an effective strategy for managing and coping with trauma.
AtıfScopus9WoS9OpenAlex14İncele - MakaleAçık Erişim2025Scopus SJRQ2From Marx to the classroom: Understanding teacher alienation in policy contexts
Aksakalli, Ayhan
This article examines the phenomenon of teacher alienation through the lens of Marxist theory, exploring how capitalist and bureaucratic structures inherent in educational policies contribute to feelings of disconnection and disenfranchisement among educators. Drawing upon Marx’s concept of alienated labor, the study delves into the ways in which teachers experience alienation within the context of modern education systems. By tracing the historical roots of alienation in capitalist societies, the article highlights the pervasive influence of market-oriented reforms and accountability measures on teacher autonomy and professional agency. Furthermore, the study examines the implications of teacher alienation for both educators and students, emphasizing the detrimental effects on teacher well-being, job satisfaction, and instructional effectiveness. It explores how feelings of alienation can hinder collaboration, innovation, and collective efficacy within educational communities, perpetuating cycles of disengagement and disaffection among educators and students alike. Ultimately, the article calls for a reimagining of education that prioritizes the empowerment and well-being of educators, challenging dominant paradigms and policies that perpetuate teacher alienation. By centering the voices and experiences of teachers, policymakers can work toward creating more supportive, inclusive, and equitable learning environments that foster a culture of collaboration, creativity, and social justice in education.
AtıfScopus7WoS6OpenAlex10İncele - MakaleYalnız künye2025Scopus SJRQ1Exploring the transformative power of GenAI in education: an exploratory journey from social studies classes
Yetişensoy, Okan
The potential of GenAI in educational settings has attracted considerable attention, yet practical explorations of its use in K-12 classrooms are still scarce. This research aims to explore the role of GenAI models in social studies, focusing on their influence on learning-teaching processes and understanding of AI. While exploring the influence of GenAI on pedagogical aspects from the perspective of the teacher and students, this qualitative study also embraces AI as a cross-curricular theme and seeks to understand how GenAI-supported teaching activities shape students’ AI understanding. The study group of this research, conducted according to the basic qualitative research design, consisted of 21 middle school students studying in one class and a social studies teacher who implemented the practices. The primary data collection tool for the research was semi-structured interview forms. In the relevant research, a teaching framework supported by GenAI, combining “Teaching with AI” and “Teaching about AI” was developed. During the four-week process, the practitioner teacher covered the curricular outcomes using lesson plans designed in alignment with this framework. In the semi-structured interviews, students stated that engaging in activities supported by GenAI not only made the learning process more effective and interesting but also enhanced their understanding regarding AI. The teacher highlighted that GenAI models encouraged constructivist learning environments, ensured the active involvement of all students, including those in inclusive education, and contributed to AI learning through their engaging structure. Additionally, the teacher highlighted technology’s drawbacks, including encouraging dependence on convenience and potentially providing inaccurate information. The relevant findings of the study, serving as first observations, are expected to provide valuable insights for future research. At this point, it is recommended that further studies be conducted to explore the transformative potential of GenAI in education, especially by employing experimental designs. An additional suggestion, on the other hand, is to disseminate AI throughout the entire curriculum of all subjects within a specific educational level as a cross-curricular theme, as opposed to limiting its teaching to merely a singular, isolated subject area.
AtıfScopus2WoS1OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ3Experiences of Nurse Managers in the 2023 Kahramanmaras, Turkey Earthquakes: A Qualitative Study
Koroglu Kaba, Nagihan; Bal, Betul; Ozturk, Havva
BACKGROUND: Nurse managers play a critical role in disaster response and management; yet research on their experiences in earthquakes remains limited. OBJECTIVE: This study aimed to explore the experiences of nurse managers in the Kahramanmaras, Turkey, earthquakes. METHODS: A phenomenological approach was used to guide this study, exploring the lived experiences of nurse managers who worked during the 2023 earthquakes in Kahramanmaras, Turkey. Purposive sampling identified participants, and data were collected 2-3 months postearthquake, from April to May 2023, via semi-structured interviews conducted via social media. Thematic analysis was applied to analyze the interview data. RESULTS: A total of 11 nurse managers were interviewed for the study. Fifty-five percent were between the ages of 35 and 44, 64% were female and had a bachelor's degree. Five themes emerged from the data: "being unprepared"(predisaster phase), "emotional difficulties,""communication and coordination issues,""resource shortages"(disaster event phase), and "evaluation and professional satisfaction"(postdisaster phase). CONCLUSION: The study found that most nurse managers reported feeling unprepared for the earthquake despite institutional disaster management practices. They struggled with managing their emotions, resource shortages, and communication-coordination issues. These experiences underscore the need for enhanced disaster training and preparedness for nurses. Collaboration among international health organizations, nongovernmental organizations, and governments is essential to develop disaster management plans to optimize nurses as early responders.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ1New results on the global dynamics for a two-species chemotaxis system with two chemicals and logistic sources
Ayazoglu, Rabil; Ekincioglu, Ismail
This paper deals with the following competitive two-species chemotaxis system with two chemicals with a source term of logistic type ut=Δu−χ1∇⋅(u∇υ)+η1u−μ1u2, υt=Δυ−υ+ω, ωt=Δω−χ2∇⋅(ω∇z)+η2ω−μ2ω2, 0=Δz−z+u, (x,t)∈Ω×(0,T) under homogeneous Neumann boundary conditions [Formula presented] and initial conditions u(x,0)=u0(x), υ(x,0)=υ0(x), ω(x,0)=ω0(x), x∈Ω, in a bounded domain Ω⊂RN (N≥1), where the parameters χ1, μ1, μ2>0 and η1, η2, χ2∈R. It is proved that the corresponding initial-boundary value problem possesses a unique global bounded classical solution if one of the following cases holds: (i)χ2≤0, (ii)χ2>0 as well as μ2 is large enough, which partially improves the results of [25].
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1The effect of dietary education on attitudes and behaviors in hemodialysis patients: A randomized trial
Akeren, Zahide; Çakmak, Vahide Semerci; Kalyoncuo, Servet
Background: Hemodialysis patients are at high risk for poor dietary status, primarily due to limited adherence to complex dietary regimens. Inadequate adherence may lead to complications and negatively adversely affect treatment outcomes. Promoting positive dietary attitudes and behavioral change is essential to improve health in this population. Aim: This study aimed to evaluate the impact of a structured dietary education program on dietary attitudes, daily diet intake, and vital signs in hemodialysis patients. Methods: The study was conducted between December 15, 2023, and March 27, 2024, with 34 patients (17 experimental, 17 control) receiving treatment at a public hospital in northeastern Turkey. Data were collected using the Patient Information Form, 24-Hour Diet Recall, Attitude Scale for Dietary Therapy of Hemodialysis Patients (ASDTHP), and Vital Signs Form. The experimental group received structured dietary education in two weekly 40-min sessions. Analyses were performed using BeBIS 9.0 and SPSS 25. Results: The mean age of participants in the experimental group was 59.94 ± 11.80 years; 64.7 % were male, and 64.7 % were primary/middle school graduates. In the experimental group, significant improvements were found in the total ASDTHP score, including the cognition-influenced and diet culture-related behavioral subdimensions (p < 0.05). Additionally, post-intervention analysis showed showed statistically significant reductions in systolic blood pressure, and pulse rate and increase in potassium intake (p < 0.05). Conclusion: Dietary education improved dietary attitudes and positively influenced certain vital signs, including blood pressure, in hemodialysis patients. However, it did not lead to statistically significant changes in other macronutrient and micronutrient intake variables.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Design and initial experimental verification of a high-speed electrodynamic levitation measurement system utilizing modular magnetic field sources and aluminium rails
Ozturk, U. Kemal; Mollahasanoglu, Hakki; Abdioglu, Murat; Okumus, Halil Ibrahim; Gedikli, Hasan
This work presents design and development of a modular high-speed electrodynamic levitation (EDL) test system that integrates advanced magnetic field configurations and real-time control capabilities at high operational speeds. The system comprises a rotating aluminium rail and interchangeable magnetic field sources, including permanent magnet array (PMA) and high-temperature superconducting (HTS) bulk, allowing for a variety of experimental configurations. The initial experimental results focused on testing the system through PMA–aluminium rail and HTS–aluminium rail configurations. A key innovation of this system is its modular structure, which allows for easy replacement and reconfiguration of magnetic components and rail geometries. The adaptability of the system enables a thorough investigation of how different magnetic field sources influence magnetic force and dynamic stability at high speeds. Furthermore, the system is fully integrated with a programmable logic controller (PLC) and supervisory control and data acquisition (SCADA) interface, enabling precise real-time monitoring, synchronized control and automatic data acquisition. Experimental results demonstrate the system's capability to measure vertical displacement variations and force fluctuations at different speeds, with resonance effects identified around 145 km/h. The levitation forces of 99 N were measured at a gap of 10 mm, with the PMA at a maximum speed of 283 km/h above an aluminium rail, while it was measured as 16 N with HTS at a vertical gap of 9 mm. This flexible test platform provides a critical foundation for determining the force parameters of the real-scale EDL Maglev technologies and advancing their practical application potential in high-speed transportation.
AtıfScopus3WoS3OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Transient Plane Wave Transmission Through an N-Layer Multilayer Structure with Bianisotropic Behavior
Cem Hasar, Ugur; Kaya, Yunus; Korkmaz, Huseyin; Iliev, Teodor
An analysis based on electromagnetic reflection and transmission properties of multilayer structures are in general needed to get more information about their electromagnetic responses before their implementation for some specific applications involving absorption, shielding, and diagnosis. Such an analysis could be exercised by either frequency-domain or time-domain. While the former one is based on the steady-state response, the latter one is based on the transient response which thus provides more information about electromagnetic properties of multilayer structures. A procedure relying on a direct theoretical time-domain analysis is preferable to a time-domain analysis based on computational procedures such as the finite-time-difference-domain or the fast Fourier transform. In this study, a series presentation of transient plane wave transmission coefficient of N-layer composite structures involving bianisotropic behavior is derived for the first time in the literature in terms of reduced transmission coefficients (the concept of subregion). The wave matrix approach is applied for the theoretical analysis of the reduced transmission coefficient after application of the concept of subregion. Implementation of this concept to our problem is presented step-by-step to make a clear understanding of its application to bianisotropic multilayer structures. The derived reduced transmission coefficient is validated by different multilayer structures (different layer numbers, different layer lengths, and different polarizations) composed of individual layers whose electromagnetic responses are synthesized by the Lorentz dispersion model. Advantages and limitations of the derived formalism are also presented.
- MakaleYalnız künye2025Scopus SJRQ1Optimized model updating and site-specific seismic assessment of a historical masonry bridge
Tayfur, Bilal
This study comprehensively evaluates an 800-year-old masonry bridge using advanced non-destructive testing techniques, an innovative model update process, and site-specific ground motion analysis. Employing Operational Modal Analysis, Ultrasonic Pulse Velocity, and Schmidt Hammer tests, the research meticulously characterized the structural dynamic properties. The preliminary finite element model was rigorously refined utilizing the Tabu Search optimization algorithm by minimizing discrepancies between numerical and experimental modal parameters. Site-specific earthquake records, carefully selected and prepared in accordance with the Turkish Building Earthquake Code, were applied to conduct detailed time-history analyses across 11 distinct ground motion records. Despite experiencing stresses approaching critical thresholds, the bridge demonstrated remarkable structural integrity. While the findings indicate the bridge’s structural soundness under current seismic hazard analysis criteria, the results notably emphasize that the frequency content similarities between the structure and ground motion are more critical for seismic performance assessment than peak ground acceleration (PGA) values, underscoring the importance of continuous monitoring given the region’s complex tectonic characteristics.
AtıfScopus5WoS3OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Quantification of phenolics by LC-MS/MS of monofloral and polyfloral Honey: Evaluation of the greenness of the method with MoGAPI and MoGSA
Gerçek, Yusuf Can; Baştürk, Fatma Nur; Özkök, Aslı; Cevahir Öz, Gül; Ecem Bayram, Nesrin
This study evaluated the physicochemical properties, total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity, proanthocyanidin content, and polyphenolic profiles of monofloral and multifloral honey samples produced in Türkiye. In addition, the greenness of the analytical method was assessed using two different evaluation tools: MoGSA and MoGAPI. The TPC and TFC values for multifloral honeys ranged from 0.18–0.65 mg GAE/g and 0.01–0.09 mg QE/g, respectively, whereas for monofloral honeys, these values ranged from 0.16–0.98 mg GAE/g and 0.01–0.37 mg QE/g. The highest CUPRAC and DPPH values were observed in Erica spp. honey, consistent with its TFC and total individual polyphenolic compound results. Notably, the Erica spp. honey sample exhibited a significantly higher gallic acid content (26.13 µg/g) compared to the other samples. These findings suggest that Erica spp. honey characterized by its high TPC, antioxidant activity, and distinctive polyphenolic profile, may serve as a notable dietary source of antioxidants. Additionally, the MoGAPI and MoGSA scores of the method were determined to be 84 and 91.67, respectively, demonstrating its high environmental sustainability.
AtıfScopus4WoS4OpenAlex3İncele