Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Demir Doğan, Melike(3)
- Semercioğlu, Muhammed Serhat(3)
- Akçay, Ahmet Oğuz(2)
- Polat, Eray(2)
- Acar, Ayşegül(1)
- Akdemir, Rabia Rumeysa(1)
- Akdu, Serap(1)
- Akdu, Uğur(1)
- Akpınar, I.(1)
- Akçay, Serhatcan Berk(1)
- Anaç, Halil(1)
- Arpa Zemzemoğlu, Tuba Eda(1)
- Arslan Burnaz, Nesibe(1)
- Artan, Seyfettin(1)
- Arı, Uğur Volkan(1)
- Ay, Ilyas(1)
- Aydin, Aydanur(1)
- Barut, Abdulkadir(1)
- Başeğmez, Mehmet(1)
- Başoğlu, Mustafa Engin(1)
- Beder, Murat(1)
- Bulut, Hülya(1)
- Büyükdağ, Naci(1)
- Cakir, Mehmet Ali(1)
- Cay Cakir, Sümeyra(1)
- Celik, Ahmet(1)
- Celik, Necati(1)
- Cengiz, Ekrem(1)
- Cevik, Ugur(1)
- Demirel, Uğur(1)
- Demirel, Çağatay(1)
- Diker, Ersin(1)
- Dişli Bayraktar, Eda(1)
- Dogan, Hulya(1)
- Dogan, Ramazan Ozgur(1)
- Doğan, Gökcen(1)
- Eker, Çiğdem Saydam(1)
- Genemo, Musa Dima(1)
- Glagolev, S(1)
- Gücer, Mehmet Ali(1)
Yayınlar
- MakaleYalnız künye2026Potential of bee products for enrichment of herbal tea: using response surface methodology
Ilyasoğlu, Huri; Arpa Zemzemoğlu, Tuba Eda; Arslan Burnaz, Nesibe
Purpose: There has been an increasing demand for food and beverage products enriched with bee products due to their valuable nutrients and bioactive compounds. This study was designed to assess the feasibility of enriching herbal tea infusions with bee products (honey and bee pollen), and to optimize formulation parameters using response surface methodology (RSM). Methods: The effects of the honey level of bee products (HLBP; 10–90 g/100 g) and the level of non-tea substances (LNTS; 1–5 g/100 mL) on the general acceptability, total glucose and fructose (TGF), total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity of the herbal tea infusions were investigated using RSM. Results: HLBP showed a positive impact on the general acceptability and TGF, but a negative impact on the TPC, while the LNTS had a positive impact on the TGF and TPC. At the optimized enrichment conditions, the response to honey–bee pollen differed markedly between the two matrices: linden tea demonstrated significantly higher functional enhancement (TPC, TFC, and antioxidant activity) compared to the control, whereas sage tea exhibited relatively stable functional values. Sensory responses also differed, with linden formulations showing a significant decrease in general acceptability at lower HLBP levels, while sage formulations maintained relatively stable sensory scores. Conclusion: Overall, the findings indicate that the effects of honey–bee pollen enrichment on herbal tea beverages depend on the tea matrix and require optimization, as increasing functional properties may compromise sensory acceptability, particularly in linden tea, whereas sage tea showed comparatively similar responses to the control.
- MakaleYayıncıda açık erişim2026Innovation adoption of artificial meat among academic consumers in Turkey
Dişli Bayraktar, Eda; Öztürk, Zeynep; Öztürk Küçük, Hilal
Artificial meat has emerged as a promising sustainable food technology with the potential to mitigate environmental impacts associated with conventional livestock production. However, its societal diffusion largely depends on consumer acceptance and the adoption of this innovation. This study examines academics’ attitudes and consumption intentions toward artificial meat in Turkey by focusing on two innovation adoption tendencies novelty seeking and independent decision making and testing the mediating role of attitude within the Theory of Planned Behavior framework. Data were collected via an online questionnaire distributed through social media and email, yielding 277 valid responses from academics across different regions and faculties. Analyses were conducted using SPSS and Hayes’ PROCESS macro (Model 4) with 5,000 bootstrap samples (95% confidence intervals). Results indicate that attitude toward artificial meat is the strongest predictor of consumption intention. Novelty seeking positively predicts attitude, which in turn increases intention; when attitude is included, the direct effect of novelty seeking on intention becomes non-significant, indicating full mediation. In contrast, independent decision-making negatively predicts attitude and indirectly reduces consumption intention through attitude, also reflecting a full mediation structure. Descriptive findings further show high awareness but low willingness to try artificial meat among academics. Overall, the study highlights the central role of attitude in the adoption of innovative food technologies and suggests that communication strategies should prioritize attitude formation, particularly by addressing skepticism among autonomous decision-makers while engaging novelty-seeking individuals as potential early adopters.
- MakaleAçık Erişim2026Association Between Health Literacy and Mediterranean Diet Adherence Among Adult Women in Türkiye
Çam, Alper Veli; Şik, Elif
Objective: Health literacy is widely recognized as an important determinant of informed health-related decision-making. However, evidence regarding whether health literacy translates into healthy eating behaviors, particularly adherence to the Mediterranean diet, remains limited. This study aimed to examine the association between health literacy levels and adherence to the Mediterranean diet among adult women living in Türkiye. Methods: This cross-sectional study was conducted with 400 women aged 18 years and older residing in Türkiye. Data were collected using a sociodemographic information form, the Turkish Health Literacy Scale–Short Form, and the Mediterranean Diet Quality Index (KIDMED). Health literacy levels were categorized as inadequate, problematic–limited, adequate, and excellent, while Mediterranean diet adherence was classified as low, moderate, or optimal. Ordinal logistic regression analysis was performed to examine the association between health literacy and adherence to the Mediterranean diet, adjusting for sociodemographic variables (age, education, income, and occupation). Findings: Among the participants, 25.3% had inadequate health literacy, 31.8% had problematic–limited health literacy, 34.0% had adequate health literacy, and 9.0% had excellent health literacy. Mediterranean diet adherence was low in 34.5% of participants, moderate in 52.3%, and optimal in 13.3%. The ordinal logistic regression analysis revealed that, after adjusting for sociodemographic variables, one dimension of health literacy (Cognitive Health Literacy) was significantly associated with Mediterranean diet adherence, whereas no significant association was observed for the other dimension. Conclusion: The findings suggest that certain dimensions of health literacy may be associated with adherence to the Mediterranean diet when sociodemographic factors are taken into account. These results highlight the importance of considering both individual knowledge and contextual factors in understanding dietary behavior. Future research should further explore the role of nutrition-specific literacy and structural determinants in shaping healthy eating practices.
- MakaleAçık Erişim2026Turkish validation of the CompACT: assessing psychological flexibility among emergency aid and disaster management students
Çınar, Öznur; Oral, Vildan; Turan, Melikşah; Cengiz, Ekrem
Psychological flexibility is a central construct in Acceptance and Commitment Therapy and an important protective factor for mental health, particularly among individuals expected to function effectively under high stress and uncertainty, such as those in emergency aid and disaster management. Despite its relevance for this population, no Turkish version of the Comprehensive Assessment of Acceptance and Commitment Therapy Processes (CompACT) had been available. The present study aimed to perform a cross-cultural adaptation of the English version of CompACT into Turkish and to evaluate its psychometric properties in emergency aid and disaster management students. The study was conducted in two phases: translation and cross-cultural adaptation, followed by psychometric evaluation in a sample of 302 students. Data were analyzed using SPSS v.21 and AMOS v.22 through exploratory and confirmatory factor analyses, reliability analyses, test-retest analysis, and correlational validity testing. The exploratory factor analysis (EFA) showed that the CompACT consisted of three factors (Openness to Experience, Behavioral Awareness, and Valued Action) explaining 75.848% of the total variance, comprising 20 items. Confirmatory factor analysis (CFA) showed that the three-factor model provided the best fit to the data (χ²/df = 2.590, CFI = 0.963, TLI = 0.956, RMSEA = 0.073). The scale demonstrated satisfactory internal consistency (overall alpha = 0.843) and temporal stability (test-retest r > 0.70 across all subscales), and its expected negative associations with the Acceptance and Action Questionnaire-II (r = −0.365) and the Depression Anxiety Stress Scales-21 (r = −0.403) supported its criterion-related validity.
- MakaleYalnız künye2026Cash holdings in an emerging market technology sector: evidence from BIST firms within the trade-off and pecking order frameworks
Pala, Fahrettin; Karalı, Muhammet; Karabayır, Mehmet Emin; Henni, Mohamed Djafar; Barut, Abdulkadir
This study investigates the determinants of corporate cash holdings in technology firms listed on Borsa İstanbul (BIST) by integrating the Trade-off Theory and the Pecking Order Theory. Using annual panel data covering the period 2013–2023, the study examines how firm-specific characteristics and macroeconomic factors influence corporate liquidity decisions in an R&D-intensive sector. The empirical analysis is conducted using a random-effects panel model estimated with Driscoll–Kraay standard errors to account for heteroskedasticity, autocorrelation, and cross-sectional dependence. The robustness of the findings is further assessed through firm fixed-effects, firm-and-year fixed-effects, one-year lagged specifications, and an interaction analysis. The results show that profitability is the most important determinant of corporate cash holdings, providing strong support for the Pecking Order Theory, whereas financial leverage exhibits a weak negative effect. In contrast, firm size, liquidity needs, R&D expenditures, dividend payments, GDP growth, and interest rates do not have statistically significant direct effects on cash holdings, while inflation exhibits weak evidence of a negative relationship. Moreover, the interaction analysis reveals that interest rates positively moderate the relationship between R&D expenditures and corporate cash holdings, indicating that innovation-oriented technology firms tend to retain larger cash reserves under tighter monetary conditions. The findings highlight that macroeconomic conditions influence corporate cash holdings not only directly but also through their interaction with firm-specific characteristics. The study contributes to the corporate finance literature by providing new evidence from an emerging market and offers practical implications for corporate managers and policymakers in designing effective corporate liquidity management strategies under changing monetary conditions.
- MakaleAçık Erişim2026A Deep Learning–Based Framework for Automatic Determination of Developmental Dysplasia of the Hip from Graf Angles
Taşolar, Sevgi; Günen, Mehmet Akif; Sığırcı, Ahmet; Taşolar, Hakan
Developmental dysplasia of the hip (DDH) is a common neonatal condition that necessitates early diagnosis to ensure effective treatment. The traditional Graf method, while widely used for evaluating infant hips via ultrasound, is limited by operator dependency and measurement variability. This research has proposed a framework using deep learning network, morphological operation and local maxima method to diagnose DDH in newborns using ultrasound images. The method utilizes DeepLabv3 + for image segmentation, evaluating multiple backbone architectures (ResNet50, InceptionResNetV2, MobilenetV2, and Xception) to identify the region of interest accurately. Local maxima method was used to determine the extremum points of the line defining the Graf angles. Denoising filters, including mean, median, and Wiener, are applied to determine local maxima points accurately. The evaluation comprises two stages: first, assessing the performance of DeepLabv3 + backbones in producing masks for Graf angles determination, and second, comparing the angles obtained through proposed framework with those determined by expert radiologists. Comparative analysis demonstrates that MobileNetV2 (94.64 accuracy, 86.99 Cohen’s kappa, 94.31 F-score) surpasses other models in segmentation accuracy and measurement reliability. This conclusion is backed by key performance metrics such as accuracy, IoU, PSNR, F-score, SSIM, Cohen’s kappa, as well as by the intraclass correlation coefficient and Bland–Altman analyses. The proposed framework shows considerable promise in automating hip ultrasound analysis for DDH diagnosis, minimizing operator dependency while enhancing measurement consistency.
- Derleme MakaleYalnız künye2026A systematic review of studies evaluating immersive virtual reality applications to support nursing education for nursing students
Aydin, Aydanur; Güler, Sevil; Bulut, Hülya
Objectives: Virtual reality (VR)-based interventions are widely used in education. However, it is necessary to systematically examine the outcomes of immersive virtual reality (IVR) applications in nursing education, clarifying their impact on knowledge, skills, and attitudes among nursing students. Methods: This review utilized the methodological framework of the Joanna Briggs Institute. A search was conducted of the Ovid MEDLINE, PubMed, CINAHL (Cumulative Index to Nursing and Allied Health Literature), Web of Science, and Scopus databases for the period from 2013 to 2023. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol informed the review and screening of the literature. The articles were assessed for eligibility via first screening by abstract review, followed by a full-text review. The first two authors reviewed the articles, assessing qualification for inclusion and evaluating the content. Data from eligible articles were analyzed and synthesized to answer the research question. Results: Of the initial 667 articles, 11 articles met the inclusion criteria for final analysis. The findings indicate that IVR applications in clinical practice positively impact nursing students, as IVR provides effective results in increasing their knowledge. Nursing educators should avoid comparing the results of students’ IVR practice with classical clinical practice. Nursing students should continue to engage in clinical practice, as it remains an essential aspect of their education. While technological applications such as IVR may be useful, they should not be used as a substitute for clinical practice. This review highlights the reported outcomes and benefits of clinical teaching methods in nursing. Conclusion: A limited number of articles were found that evaluated the education of nursing students in IVR applications. The analyzed articles found that nurse educators experienced meaningful knowledge exchange with students after IVR implementation. Further research is needed to identify effective outcomes in clinical education. It is essential to advance science to transform clinical education and use it more consciously to teach practical thinking and decision-making about patient care.
- MakaleYalnız künye2026How does social expenditure affect the fiscal balance in European Union countries?
Sentürk, Suat Hayri; Karakurt, Birol; Keyifli Sentürk, Nazli
This study examines the relationship between social expenditures and fiscal balance in 27 European Union member states over the period 2000–2022. Using a panel data framework, the analysis focuses on four disaggregated categories of social expenditure: health, education, pensions, and social protection. The study employs the Dumitrescu-Hurlin panel causality test to identify the direction of causality and applies Generalized Method of Moments (GMM) estimations to address potential endogeneity issues. The results reveal a unidirectional causal relationship running from fiscal balance to social expenditure categories. In addition, the findings indicate that fiscal balance exerts a significant constraining effect on all dimensions of social spending: improvements in fiscal balance (i.e. reduced deficits) are associated with decreases in social expenditures. Demographic factors also play an important role. Population ageing increases spending on pensions, health, and social protection, while a larger young population is associated with higher education expenditures. Institutional quality-measured by the rule of law-and national income positively influence social spending, whereas domestic savings and inflation have negative effects. Unemployment reduces spending on health and education but increases expenditures on social protection. Overall, the results highlight a fundamental policy dilemma: fiscal consolidation pressures may conflict with the need for social protection, particularly in the context of ageing European populations. By providing the first comprehensive analysis of how fiscal balance simultaneously affects multiple dimensions of social expenditure in EU countries, this study offers important insights for policymakers seeking to reconcile fiscal sustainability with inclusive social policy frameworks. The findings suggest that fiscal rules should be designed to safeguard essential social investments while maintaining budgetary discipline.
- MakaleAçık Erişim2026Do environmental taxes improve environmental sustainability beyond net-zero emissions? Evidence from ecological footprint subcomponents in the EU
Recepoğlu, Mürşit; Cay Cakir, Sümeyra; Cakir, Mehmet Ali; Artan, Seyfettin; Hayaloğlu, Pınar; Keşap, Doğan
Environmental degradation has manifested in various forms, including air and water pollution. Therefore, the impacts of environmental policies should be evaluated across all dimensions of environmental degradation. The European Union has targeted to stop CO2 emissions by 2050. Accordingly, the literature has predominantly focused on the relationship between environmental taxation and CO₂ emissions. Even if the net-zero emissions target is achieved, this does not necessarily ensure the elimination of overall environmental degradation. This study investigates the impact of environmental taxation on environmental degradation in the European Union over the period 1995–2021 using the Driscoll-Kraay (1998) estimator. The study focuses on the impact of environmental tax on ecological footprint and its subcomponents. The findings show that the ecological footprint and its subcomponents, except for built-up land and forest product footprints, can be mitigated by current environmental tax policies. However, in order to achieve net-zero environmental degradation, the European Union must reduce pressures arising from built-up land and forest product footprints. In addition to the Driscoll-Kraay (1998) estimator, the Feasible Generalized Least Squares (FGLS) estimator is employed as a robustness check, and the results remain broadly consistent across both methods. Moreover, Dumitrescu and Hurlin (2012) causality test states that strong and bidirectional causal relationships between environmental tax and ecological footprint components. This overall result confirms the existence of a green dividend within the double dividend hypothesis. It is suggested that renewable energy plants should be constructed in areas where built-up land and forest products footprint are not affected. For example, floating solar panels do not use land and also protect water bodies from evaporation.
- MakaleYalnız künye2026Digital cultivation of violence: a mixed-methods analysis of content and sentiment in YouTube comments on popular Turkish TV series
Olgun, Oğuzhan; Demirel, Çağatay; Demirel, Uğur
This study examines the contemporary manifestations of George Gerbner’s Cultivation Theory within the Turkish media landscape by analyzing the relationship between televised representations of violence and digital audience reception. Adopting a mixed-methods research design, the study first conducts a structured qualitative content analysis of 15 selected episodes from three popular Turkish TV series (Camdaki Kız, Sadakatsiz, and Son Yaz) to categorize and quantify various forms of violence. Subsequently, a large-scale computational emotion analysis is performed on 74,478 YouTube comments associated with these episodes using two transformer-based Turkish language models (KUBI and TREMO). The content analysis findings reveal a high prevalence of emotional and psychological violence (61.3%) across all series, followed by physical violence (29.9%), suggesting that mediated harm is increasingly represented through relational and verbal conflict. The computational analysis suggests that these narrative patterns are associated with a high-arousal and largely negative emotional environment in audience discourse, especially around anger and sadness. Notably, while traditional cultivation research emphasizes fear as a primary outcome (Mean World Syndrome), this study finds that digital reception is characterized more by outward-facing anger and moral disgust than by internalized apprehension. The results are consistent with the interpretation that the “seeds” of television cultivation continue to circulate within networked media ecologies, where televised conflict is publicly interpreted and emotionally negotiated through collective digital interaction. By bridging the gap between screen reality and platformed discourse, the research provides a comprehensive framework for understanding the long-term affective impact of Turkish television narratives in the digital age.
- MakaleAçık Erişim2026Evaluation of antioxidant and antiproliferative activities of shogaol and its modulatory effects on key metabolic enzymes
Yapıcı, İsmail; Gülçin, İlhami
Phenolic compounds are versatile bioactive molecules, particularly in food applications. In this study, the antioxidant capacity of Shogaol, a member of the phenolic class, was evaluated using several methods. Additionally, its inhibitory effects on human carbonic anhydrase I and II (hCA I and II), acetylcholinesterase (AChE), butyrylcholinesterase (BChE), α-glycosidase, and α-amylase enzymes, as well as its antiproliferative effects on A-549 lung cancer, HT-29 colon cancer, MCF-7 and MDA-MB-453 breast cancer cell lines, and the 3T3-L1 mouse fibroblast normal cell line, were investigated. To determine the antioxidant capacity of Shogaol, DPPH and ABTS radical scavenging assays, as well as Cu²⁺, Fe³⁺, and FRAP reduction methods, were employed. Its inhibitory effects on hCA I and II, AChE, BChE, α-glycosidase, and α-amylase enzymes were examined. Furthermore, cell counting was performed using the TBE method, and cell viability was measured with the XTT assay to assess the antiproliferative effects of Shogaol on A-549, HT-29, MCF-7, MDA-MB-453, and 3T3-L1 cell lines. Shogaol demonstrated higher antioxidant capacity than BHA, BHT, and Trolox in the FRAP assay (60 µg/mL), higher than BHT in the DPPH scavenging assay, and higher than Trolox in the ABTS, Cu²⁺, and Fe³⁺ reduction assays. Shogaol also exhibited significant inhibitory effects against hCA I, hCA II, AChE, BChE, and α-glycosidase, with IC₅₀ values of 75.91, 47.04, 37.44, 24.11, and 35.72 nM, respectively. Moreover, Shogaol showed a more potent antiproliferative effect than the standard chemotherapeutic drug Carboplatin in A-549 lung cancer and HT-29 colon cancer cell lines, and greater efficacy than Docetaxel in the MCF-7 breast cancer cell line.
- MakaleYalnız künye2025Interpretable machine learning for rapid prediction and calibration of HPGe detector efficiency: a physics-informed approach and online platform
Yesilkanat, Cafer Mert; Celik, Necati; Celik, Ahmet; Cevik, Ugur
This study introduces a novel, physics-informed, and calibration-friendly hybrid machine learning framework for the rapid and accurate prediction of the Full Energy Peak (FEP) efficiency in High-Purity Germanium (HPGe) detectors. To overcome the limitations of conventional “black-box” models, our two-stage approach first represents the FEP efficiency curve using a physically interpretable logarithmic polynomial. Subsequently, machine learning models were trained to predict the polynomial coefficients directly from the detector geometric parameters using a comprehensive dataset generated via Monte Carlo simulations. Among the various algorithms tested, the Generalized Linear Model yielded superior performance, achieving R2 values of 0.975–0.992 for the coefficients. While raw model predictions showed expected variability, a key feature of our framework (a single-point calibration protocol using one known efficiency value) dramatically improved accuracy, reducing the mean absolute percentage error by an average of 80% on the independent test data. The calibrated model was further validated using an experimental detector. The entire framework was deployed as a user-friendly online platform, enabling researchers to instantly generate and calibrate efficiency curves. Our work successfully harmonizes interpretability, speed, and accuracy, offering a powerful tool for the design, optimization, and routine calibration of HPGe detectors.
- MakaleYalnız künye2025Golden Distance: A New and Comprehensive Metric Definition Study Facilitating Classification Performance Evaluations
Melek, Mesut; Melek, Negin
Machine/deep learning has great potential in many classification studies that make our lives easier. Performance evaluation of the classification algorithm is of great importance for making accurate predictions in machine learning, which, itself, learns from data without any human intervention. In these learning models, high-dimensional data in classes with complex features belonging to balanced or unbalanced distributions are analysed with different classification algorithms and take their place in the decision stage. While the difficulties in implementing classification algorithms continue today, evaluating the superiority of developed systems over each other continues to be both a time-consuming and very difficult process. In models proposed in the literature, only a single parameter, such as accuracy, is not sufficient to determine model adequacy. In this context, among different classification algorithm performance parameters, some metrics such as sensitivity, specificity, F-measure (F1), Jaccard index, area under the curve, and kappa coefficient are used for system evaluation. As these parameters are placed in the analysis tables, the study should be evaluated at length by including large tables in the article. Instead of using various parameters that make performance analysis difficult in system evaluation, this study defines a new Golden Distance-based parameter that summarizes the model comprehensively from all dimensions. To understand this new metric’s working principle, a detailed comparative analysis of research conducted on three datasets was performed. Based on the final evaluation, the proposed inclusive metric demonstrated successful and fair behaviour in all conditions. Thus, a fair and simple comparison will be achieved with a single metric, and long analyses can be avoided by presenting many performance parameters in systems’ superiority indicator tables.
- MakaleAçık Erişim2025The Effect of Boric Acid on Oxidative Stress, Inflammation, and Apoptosis in Embryonic and Fetal Tissues Damage Caused by Consumption of High-Fructose Corn Syrup in Pregnant Rats
Başeğmez, Mehmet; Yüksel, Duygu
This study aimed to determine the protective role of boric acid in a pregnant rat model of high fructose corn syrup consumption. Consumption of high fructose corn syrup has been associated with adverse health outcomes in humans and animals. Twenty-eight healthy female Wistar albino rats (250–300 g weight and 16–24 weeks old) were randomly distributed into four equal groups (n = 7): Control, Boric acid (BA), High Fructose Corn Syrup (HFCS), HFCS + BA. Boric acid (20 mg/kg) was administered to pregnant rats via oral gavage every day during pregnancy. The prepared 30% HFCS (F30) solution (24% fructose, 28% dextrose) was added to the drinking water throughout pregnancy. At the end of pregnancy (day 19), blood, placenta, uterus, and fetuses were collected from rats. The results indicated that HFCS increases oxidative stress by increasing the level of MDA and decreasing GSH, SOD, and CAT activity in the blood of maternal. However, BA administration significantly decreased MDA levels and increased GSH levels, SOD, and CAT activity (p < 0.05). In addition, HFCS consumption significantly increased plasma TNF-α, IL-6, and leptin levels compared to control, BA, and HFCS + BA groups (p < 0.05). However, BA administration significantly decreased plasma TNF-α, IL-6, and leptin levels (p < 0.05). Furthermore, BA (20 mg/kg) significantly decreased HFCS-induced histopathological and immunohistochemical alterations in the placenta, uterus, and fetal tissue. In conclusion, BA may prevent HFCS toxicity in maternal and fetal tissues, as it regulates oxidative imbalance in pregnant rat and alleviates histopathological and immunohistochemical changes. The findings indicate a need for further studies to assess the potential of boron in preventing or mitigating the effects of HFCS during pregnancy.
- Kitap BölümüYalnız künye2025Foundational Education of Primary-Level Refugee Students: Advancing Fundamental Subject Knowledge
Semercioğlu, Muhammed Serhat; Akçay, Ahmet Oğuz
This book comprehensively explores the educational experiences of refugee students in primary schools, specifically addressing literacy, mathematics, and science skills through innovative teaching methods, including artificial intelligence, coding, and drama-based etc. approaches. Embracing a skill-based learning, the book is enriched with practical applications designed to enhance essential skills among refugee learners effectively. Drawing upon the extensive expertise of contributing authors, each chapter provides in-depth analyses of various dimensions of refugee education, offering valuable insights into targeted pedagogical strategies. Chapters conclude with illustrative activities specifically designed for refugee students, accompanied by detailed evaluations of their outcomes. These activities are not merely theoretical; they are purposefully structured to ensure applicability and adaptability within diverse global educational contexts. This book serves as an essential resource for teacher candidates, educators, researchers, and academics specializing in refugee education and general pedagogy, combining rigorous theoretical perspectives with actionable, real-world strategies.
- Kitap BölümüYalnız künye2025Success Stories on the Impact of New Learning Environments on Refugee Students’ Writing Skills
Semercioğlu, Muhammed Serhat
This chapter explores the transformative impact of innovative educational approaches on refugee students’ writing skills, emphasizing the role of AI and new learning environments. It begins by defining writing as a critical skill linked to cognitive and academic success, highlighting its challenges for displaced students. The chapter reviews traditional and process-oriented methods, noting the limitations of rote practices in fostering creativity and meaning. It examines tailored educational models, such as bilingual and metacognitive strategies, and other global examples supporting refugee learners. The discussion extends to AI-assisted tools, particularly ChatGPT®, showcasing their potential to enhance engagement, reduce anxiety, and provide personalized feedback. Practical activities and success stories demonstrate AI’s capacity to bridge linguistic gaps and foster inclusivity. The chapter concludes with reflections on integrating these tools into curricula, addressing opportunities and challenges, and advocating for culturally sensitive, technology-driven solutions to empower refugee students.
- KitapYalnız künye2025Foundational Education of Primary-Level Refugee Students: Advancing Fundamental Subject Knowledge
Semercioğlu, Muhammed Serhat; Akçay, Ahmet Oğuz
This book comprehensively explores the educational experiences of refugee students in primary schools, specifically addressing literacy, mathematics, and science skills through innovative teaching methods, including artificial intelligence, coding, and drama-based etc. approaches. Embracing a skill-based learning, the book is enriched with practical applications designed to enhance essential skills among refugee learners effectively. Drawing upon the extensive expertise of contributing authors, each chapter provides in-depth analyses of various dimensions of refugee education, offering valuable insights into targeted pedagogical strategies. Chapters conclude with illustrative activities specifically designed for refugee students, accompanied by detailed evaluations of their outcomes. These activities are not merely theoretical; they are purposefully structured to ensure applicability and adaptability within diverse global educational contexts. This book serves as an essential resource for teacher candidates, educators, researchers, and academics specializing in refugee education and general pedagogy, combining rigorous theoretical perspectives with actionable, real-world strategies.
- Kitap BölümüYalnız künye2025Seismological Aspects of Doublet Earthquakes Mw 7.8, and Mw 7.6, 6th February 2023, Türkiye/Syria Earthquake and Its Aftershocks: Causes and Consequences
Polat, Orhan; Ozer, Caglar; Ozturk, Serkan
Two devastating earthquakes occurred on the Eastern Anatolian Fault Zone (EAFZ), measuring 7.8 and 7.6 moment magnitudes (Mw), struck Türkiye and Syria on February 6, 2023. The first earthquake Mw7.8 took place on the EAFZ in Pazarcik district of Kahramanmaras city and the second earthquake (Mw7.6) was on Cardak Fault (CF, an E-W aligned segment of the EAFZ) in Elbistan district of the same city. The first earthquake on EAFZ and the second earthquake on CF reveal dominant sinistral strike-slip character according to focal mechanisms solutions of aftershocks (e.g., Mw = 6.8, Mw = 6.4). Total number of aftershocks exceeds 58,000 as of November 2023. Destructive earthquakes have resulted significant impact on 11 cities in Türkiye and 5 provinces in Syria. Doublet earthquakes (compound earthquake) and aftershocks have caused remarkable surface rupture that exhibit horizontal and vertical slips along NE-SW oriented EAFZ (400 × 40 km2) and E-W aligned CF (250 × 40 km2). Based on the seismicity analysis, 88% (45 events over 51 of the aftershocks with magnitudes greater or equal to 5.0 occurred within the first three days following the Mw = 7.8 mainshock. The state of stress from 1977 to the Kahramanmaras doublet earthquakes (DEQ), was almost shear stress regime whereas it reveals between extension (normal) to strike-slip regime. The CF zone area exhibits a dominant shear stress regime. The Kahramanmaras earthquake has generated remarkable set of surface ruptures about ~ 500 km, in total (~ 350 km long for EAFZ and ~ 150 km for CF) with a dominant sinistral strike-slip character. These ruptures could be observed mainly from the south of Hatay city up to north of Celikhan district along the EAFZ, and between Goksun district and Kelhalil village along the CF. Seismic gaps with low geodetic strain rates and low background seismicity were observed between Islahiye (Hatay city) and Nurdagi (Gaziantep city) districts, and around Pazarcik district (Kahramanmaras city). The largest peak ground acceleration (PGA) was recorded by Pazarcik station (Code: 4614) with about 2 g (2039 gal) in the EW component. The next target location for destructive earthquake could be on the Cyprus arc towards Island with the potential to cause a tsunami, or could occur along the DSF by affecting Syria and Lebanon. The EAFZ is an important reminder that large faults can generate very large earthquakes on multiple segments as Türkiye and Syria have experienced during and after the Mw = 7.8 mainshock.
- MakaleYalnız künye2025Hand grip strength in young adults: association with obesity-related anthropometric variables
Doğan, Gökcen; Tokaç Er, Nida; Öztürk, Meryem Elif; Meriç, Çağdaş Salih; Yilmaz, Hacı Ömer; Yabanci Ayhan, Nurcan
Aim: The aims of this study were to evaluate hand grip strength in young adults, to examine its relationship with anthropometric values, and to determine which values are predictive. Subject and methods: This prospective, cross-sectional study was conducted with 913 healthy young adults aged 18–30 years. A questionnaire form was administered in face-to-face interviews, and anthropometric measurements including height, body weight, waist circumference (WC), hip circumference (HC), mid-upper arm circumference (MAC), neck circumference (NC), triceps skinfold thickness (TSF), and hand grip strength (kg) were performed for each participant. Results: Hand grip strength was significantly higher for men than for women (p < 0.001), and was also higher in obese and overweight people compared to underweight participants (p < 0.001). Hand grip strength was correlated with weight, height, body mass index, MAC, TSF, WC, and NC (p < 0.001). The predictive ability of anthropometric measurements in estimating hand grip strength was thus demonstrated in a large population of healthy young adults. Significant regression was found, with an R2 value of 0.556. Hand grip strength increased by 0.282 kg for each centimeter of height and by 0.135 kg for each centimeter of MAC. The hand grip strength of male participants was 0.424 kg greater than that of females. Height, MAC, TSF, and sex were significant predictors of hand grip strength. Conclusion: According to our results, variability in hand grip strength among healthy subjects can be explained by height, MAC, TSF, WC, HC, age, and sex. The estimation of hand grip strength could be established based on these demographic and anthropometric variables.
- MakaleYalnız künye2025Coronavirus anxiety, fear level, and awareness of nursing students starting face-to-face education
Demir Doğan, Melike; Uludağ, Elanur
Aims: This study was designed to determine the coronavirus-associated anxiety, fear, and awareness of nursing students who will start face-to-face education. Methods: In this descriptive and cross-sectional study, the data were collected using the socio-demographic characteristics form, Fear of COVID-19 Scale, Coronavirus Anxiety Scale-Short Form, and COVID-19 Awareness Scale between 29 November 2021 and 1 January 2022. The sample consisted of 344 nursing students. Results: The mean age of the students participating in the study was 20.49±1.78. It was determined that there was a significant difference between gender and the total score of Fear of COVID-19 Scale and the total score of COVID-19 Awareness Scale. Individuals having a nuclear family had significantly higher levels of fear of COVID-19 than those having an extended family. There was a positive and significant relationship between number of vaccinations, age, total score of the Coronavirus anxiety scale, total score of the COVID-19 awareness scale, total score of the hygiene subscale, total score of distance subscale, and total score of mask subscale. It was determined that there was a negative significant correlation between age and the total score of COVID-19 awareness scale and the total score of the Coronavirus anxiety scale. Conclusion: It was determined that women’s levels of fear of COVID-19 and coronavirus awareness levels were significantly higher compared to their male counterparts. The fear of COVID-19 increased as the number of vaccination, age. As the fear of COVID-19 increased, the level of COVID-19 awareness also increased.