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  • MakaleAçık Erişim2026Scopus SJRQ3
    Deprem Sonrası Yeniden Yerleşim Çalışmalarında Küresel Eğilimler ve Mekânsal Yaklaşımlar: Bibliyometrik Bir Analiz

    Degirmenci, Yavuz; Eraslan, Büşra

    Bu çalışma, 2015-2025 döneminde deprem sonrası yeniden yerleşme literatüründeki küresel eğilimleri ve mekânsal yaklaşımları bibliyometrik yöntemle analiz etmeyi amaçlamaktadır. Web of Science veri tabanından elde edilen 890 makale, performans analizi ve bilimsel haritalama teknikleriyle incelenmiştir. Bulgular, literatürün 2021 yılından itibaren teknik sismolojik analizlerden sosyo-mekânsal dayanıklılık paradigmasına evrildiğini göstermektedir. Çin, yayın sayısı bakımından alanda öne çıkan ülke konumundadır.; Japonya ve Şili merkezli çalışmaların ise afet sonrası yeniden yerleşim, katılımcı planlama ve toplumsal uyum temaları bakımından işbirliği ağlarında görünür olduğu belirlenmiştir. 2023 sonrası yükselen algoritma trendi, yapay zekâ destekli yer seçim modellerinin önemini ortaya koymaktadır. Türkiye özelinde ise 2023 depremleri sonrası çalışmalar, mekânsal aidiyetin yerleşme başarısındaki kritik rolünü teyit etmektedir. Çalışma, sürdürülebilir iyileşme için teknik verimlilik ile toplumsal meşruiyetin entegre edildiği bütüncül modelleri önermektedir.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    TR Dizinİncele
  • MakaleAçık Erişim2026
    Torul ilçesinin idari yapısı ve nüfus dinamikleri üzerinden tarihsel-güncel bir analiz

    Göktaş, Serdar

    Torul, Karadeniz Bölgesi’nin iç kesimlerinde yer alan ve Gümüşhane iline bağlı, tarihî ve coğrafi açıdan önemli bir ilçedir. Tarihi İpek Yolu’nun önemli bir kesişme noktası ve güzergâhı olan Torul, bu geçmişten gelen kritik rolüne rağmen günümüzde coğrafyasının da yarattığı dezavantajlarla birlikte halkının beklentisi olan büyüme ve gelişme ivmesini bir türlü yakalayamamıştır. Şüphesiz bu ivmenin yakalanama-masının sebeplerinin tarihsel bir geçmişle birlikte ele alınması zorunluluğu bulunmaktadır. Coğrafi dezavantajı, bağlı olduğu sancak ve vilayet merkezlerinin uzaklığı, tarih boyunca yaşadığı idari değişiklikler, Torul tarihinin ve günümüzdeki durumunun belirleyicileri olmuşlardır. Bu makale, Torul ilçesinin idari taksimatının tarihsel seyrini ve güncel yapısını detaylıca incelerken, demografik hareketlerini ve bunların ilçenin sosyo-ekonomik durumu üzerindeki etkilerini analiz etmeyi amaçlamaktadır. Çalışma, özellikle Erken Cumhuriyet dönemindeki idari parçalanmışlıktan, nüfusun zirveye ulaştığı 1960-1980 dönemine ve sonrasındaki yoğun dış göç ile idari küçülmenin bölge sosyo-ekonomik yapısı üzerindeki kalıcı etkilerine odaklanmaktadır. Veriler, arşiv belgeleri, dönemsel salnameler, Genel Nüfus Sayımları, bölgesel monografiler ve güncel TÜİK verileri ışığında karşılaştırmalı bir analiz sunmaktadır.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    TR Dizinİncele
  • MakaleAçık Erişim2026
    A moderated mediation model of AI acceptance in healthcare: Perceived AI usage competence, AI trust, and AI anxiety

    Kılınç, Mehmet

    This study examined whether perceived AI usage competence is associated with AI acceptance in healthcare and whether this association is mediated by AI trust and moderated by AI anxiety. A cross-sectional, correlational survey design was used. Data were collected online from 422 adults in Türkiye who had used healthcare services within the previous six months. Perceived AI usage competence was modeled as the independent variable, AI trust as the mediating variable, AI acceptance in healthcare as the outcome variable, and AI anxiety as the moderating variable. Descriptive statistics, reliability analysis, confirmatory factor analysis, Pearson correlation analysis, and Hayes PROCESS Macro Model 8 were used to analyze the data. The findings indicated that perceived AI usage competence was positively associated with AI trust and AI acceptance in healthcare, and AI trust was positively associated with AI acceptance. The trust-mediated indirect association between perceived AI usage competence and AI acceptance was statistically significant. AI anxiety moderated both the competence–trust association and the direct competence–acceptance association, with weaker associations observed at higher levels of AI anxiety. Overall, the findings suggest that AI acceptance in healthcare is related not only to perceived technical competence but also to psychosocial factors such as trust and anxiety.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    TR Dizinİncele
  • MakaleAçık Erişim2026
    Market-based financial literacy under macro-financial and political risk conditions: A rolling ARX–PCA proxy index for the BIST 100

    Kuzu, Mehmet; Kocaoğlu, Fatih

    This study develops a time-varying Market-Based Financial Literacy Proxy Index (MBFLPI) for Borsa İstanbul's BIST 100 index. The term financial literacy is retained in a restricted sense: MBFLPI is an indirect, outcome-based market proxy, not a direct score of investors' knowledge, skills, attitudes or behaviour. Using actual BIST sessions from 1 August 2013 to 30 January 2026, a 252-session rolling ARX relates USD-denominated returns to Türkiye's two-year government bond yield, conservatively lagged industrial production, the five-year sovereign CDS, and the VIX. It derives benchmark macro-financial alignment, low first-order return predictability and model-based residual stability; rolling PCA combines the diagnostics, and the composite is rescaled to 0–100 for ex post presentation. Sensitivity analysis varies the window, aggregation, calibration, return denomination and normalisation. Event movements are descriptive associations, not evidence of causal transmission. Published Türkiye evidence provides an external benchmark: pre-sample S&P and OECD/INFE–Capital Markets Board reports supply historical context, whereas fieldwork-matched TEB–Boğaziçi University and FODER–Visa Türkiye/Ipsos surveys and monthly Capital Markets Board investor statistics yield mixed or null evidence. The comparison does not support convergent validity. MBFLPI therefore remains a complementary market-level proxy rather than a substitute for survey-based financial literacy.

    TR Dizinİncele
  • MakaleAçık Erişim2026
    Social Identity in Team Sports: A Quantitative Study of University Student-Athletes

    Çakır, Zekai; Uğurlu, Döndü; Sengonül, Abdullah; Yel, Kader; Güzel, Sema; Yaman, Menzure Sibel; Aktoklu, Sevda; Dilek, Ahmet Naci; Gürbüz, Cihan

    The predominance of psychological approaches in sport-related social identity research highlights the need to examine social identity within a broader sociological framework, particularly in the context of team sports. This study aims to investigate the levels of social identity among university students engaged in team sports and to determine whether these levels differ across various demographic and sport-related variables. Rather than conducting a process-oriented qualitative analysis, this study examines social identity quantitatively through measured social identity levels and selected demographic and sport-related variables. The study used a quantitative descriptive survey design with a sample of 266 university students participating in amateur-level team sports. Data were collected using a personal information form and the Social Identity Questionnaire for Sport, and analysed using descriptive statistics, independent-samples t-tests, one-way ANOVA, and Spearman’s correlation analysis. The findings indicated that participants’ social identity levels were close to moderate. While no significant differences were observed with respect to gender and age, significant differences were found in favour of participants who held leadership roles, engaged in out-of-team social interaction, and had longer sport experience, as well as across different sport branches (p < .05). Furthermore, a positive and significant relationship was identified between sport experience and social identity levels. In conclusion, social identity in team sports appears to be more closely associated with social interaction, in-group roles, and accumulated sport experience than with individual demographic characteristics.

    • SDG 10 · Eşitsizliklerin Azaltılması
    TR Dizinİncele
  • MakaleAçık Erişim2026Scopus SJRQ1
    Global Financial Architecture Under Geopolitical, Financial and Policy Pressures: A Capacity-Pressure Index of Financial Resilience

    Kuzu, Mehmet; Kocaoglu, Fatih

    Financial resilience depends on both prevailing pressures and the resources available to maintain financial functions. This study proposes a Global Financial Resilience Index (GFRI) that combines selected structural indicators with the inverse of geopolitical, policy, and market pressures. The formal retrospective sample covers January 2000-June 2026; July-August extensions are reported separately. Fixed-reference standardisation and geometric aggregation produce a transparent capacity-pressure composite, not a measure of environmental, social or intergenerational sustainability. Fixed-basket comparisons retain some capacity improvement, but a balanced five-indicator panel covers only 20 economies and 12.4-16.0% of global GDP. Country selection and calibration alter the pandemic-era ranking. The OECD growth-cycle mean difference is -8.30 points with HAC(12) p = 0.055. Classification AUC is 0.658, with a 12-month block-bootstrap 95% interval of 0.468-0.821, and does not improve on matched stress benchmarks. The incremental explanatory power of industrial production is negligible. Weight simulations and publication-lag tests reveal uncertainty in material construction. The index offers a reproducible description of selected capacity and pressure conditions; the evidence does not support operational policy bands, superior crisis prediction or comprehensive sustainability claims.

    Web of Scienceİncele
  • MakaleAçık Erişim2026
    ECONOMIC POLICY UNCERTAINTY AND HOUSING INVESTMENTS: AN EMPIRICAL VAR ANALYSIS FOR THE EURO AREA (EA-19)

    Tunçay, Cenap Mengu; Akar, Nuri Cagri

    The housing sector is considered one of the key factors of macroeconomic fluctuations. Consequently, analyzing the scale of housing investments within economies and identifying the primary drivers influencing these investments is of major importance. Since one of the variables determining investments is uncertainty, and housing investments are affected by uncertainty, it is important to determine to what extent uncertainty has an impact on housing investments. While many studies have examined the effect of uncertainty on housing prices and returns, the effect on housing investments has rarely been discussed. The dynamic impact of Economic Policy Uncertainty (EPU) on housing investments remains nearly unmentioned in the Euro Area-19 (EA-19). According to Real Options Theory, uncertainty leads to investment delays. If this relationship holds for the housing market, new construction investments should fluctuate in response to uncertainty, meaning that dwellings, which can serve as a proxy indicator for housing investments, may be affected by uncertainty. Therefore, this study investigates the relationship between the Europe-wide EPU Index and the EA-19 Dwellings Index by using monthly data (1994 M2-2023 M8). In the literature, this study is the first article to investigate the dynamic relationship between EPU and housing investments for EA-19 by performing Vector Autoregression (VAR) analysis. Based on the VAR analysis, the EPU index produces virtually no statistically significant effect on the dwellings index in the EA-19, although a unidirectional Granger causality from EPU to housing investment is detected. Based on this result, it is also possible to claim that political uncertainties in the EA-19 may not be one of the reasons for economic fluctuations due to housing investments. This study contributes to further research in this field, as it is the first study analyzing the effect of EPU on housing investments in the EA-19.

    Web of Scienceİncele
  • MakaleYayıncıda açık erişim2026
    Yİ-DARBOUX SLANT HELICES ON SURFACES

    Tosun, Ceyda; Kocayigit, Huseyin; Aydin, Tuba agirman

    In this study, a new class of surface curves, namely Yi-Darboux slant helices, is investigated. The conditions under which a surface curve is a iY-Darboux slant helix with respect to the Osculating Darboux (OD), Normal Darboux (ND), and Rectifying Darboux (RD) frames are established, and several characterizations are obtained. In particular, necessary and sufficient conditions are derived in terms of the curvature functions associated with these frames. Furthermore, relationships between iY-Darboux slant helices and classical helices and slant helices are established for special surface curves, including geodesics, asymptotic curves, and lines of curvature. Concrete examples on conical and cylindrical surfaces are also presented to illustrate the theoretical results.

    Web of Scienceİncele
  • MakaleAçık Erişim2026
    The Role of the Amālfi Qasida in the Transmission of Māturfidfi Thought and Its Classıcısm

    Sever, Mehmet

    This article analyzes the role of Ab & umacr;'l-Hasan `Al & imacr; al-& Umacr;sh & imacr;'s (d. 575/1179) Em & amacr;l & imacr; Qasida (al-Qas & imacr;dat al-l & amacr;miyya / Bad'al-Am & amacr;l & imacr;) in the transmission and canonization of M & amacr;tur & imacr;d & imacr; thought within the Ahl al-Sunnah tradition. Although Maturidism was systematized by Im & amacr;m M & amacr;tur & imacr;d & imacr; (d. 333/944) in the Hanaf & imacr; intellectual environment of Transoxiana, the survival of only a limited portion of his works meant that the school's doctrines were carried mainly by later scholars and concise didactic texts. Among these, the Em & amacr;l & imacr; Qasida became one of the most effective instruments for teaching, memorizing, and stabilizing M & amacr;tur & imacr;d & imacr; creed across centuries and regions. The study situates the Em & amacr;l & imacr; within the broader M & amacr;tur & imacr;d & imacr; textual heritage, alongside major works such as Hak & imacr;m al-Samarqand & imacr;'s al-Saw & amacr;d al-a`zam, Ab & umacr;'l-Mu`& imacr;n al-Nasaf & imacr;'s al-Tamh & imacr;d and al-Tabsira, al-S & amacr;b & umacr;n & imacr;'s al-Bid & amacr;ya and al-Kif & amacr;ya, and `Umar al-Nasaf & imacr;'s al-`Aq & amacr;'id. While these extensive treatises provide systematic theological exposition, the Em & amacr;l & imacr; offers, in 67 verses, a tightly structured summary of core doctrines. It addresses themes such as divine unity and attributes, the createdness of the Qur'& amacr;n, ru'yat All & amacr;h, human acts and divine justice, prophecy and miracles, the virtues of the Rightly Guided Caliphs, the status of the Companions, the nature of faith and takf & imacr;r, death, resurrection, and eschatology. Its allusive use of had & imacr;th material reflects al-& Umacr;sh & imacr;'s training as a traditionist and reinforces the poem's pedagogical utility. The text also preserves the polemical voice of the Samarqand-based Hanafi-M & amacr;turidi tradition, especially in its criticisms of Mu'tazili positions. The article employs historical-textual analysis combined with a reception-history approach. By examining commentaries, glosses, and translations in Arabic, Ottoman Turkish, Persian, and Urdu, and by identifying the geographical origins of commentators, the study reconstructs the poem's diffusion from Central Asia to Syria, Egypt, Anatolia, the Balkans, and the Indian subcontinent. The Ottoman period emerges as a crucial phase in which the Em & amacr;li became widely taught, memorized, and commented upon. In particular, its inclusion in the curricula of the reformed D & amacr;r & uuml;'l-Hil & acirc;fe madrasas as the introductory text for teaching tawhid illustrates its institutionalized role as a representative statement of M & amacr;turidi creed. Based on this reconstruction, the article argues that the Em & amacr;li Qasida functioned not only as a concise catechism but also as a canonical marker of M & amacr;turidi identity. Its constant reproduction, commentary, and even polemical modification by opponents signal that it achieved the status of a classic-a text perceived as indispensable for the articulation of Hanafi-M & amacr;turidi orthodoxy. The commentary tradition shows how different regions and periods reinterpreted the same core text, thus revealing both continuity and controlled adaptation within the M & amacr;turidi intellectual world. In conclusion, the article suggests that the Em & amacr;li Qasida remains essential for understa As a concise yet richly layered doctrinal text with a vast commentary tradition, it offers a coherent entry point for re-establishing a foundational M & amacr;turidi canon within contemporary studies of the History of Islamic Sects.

    Web of Scienceİncele
  • MakaleYalnız künye2026Scopus SJRQ1
    Comparison of Eating Behaviours, Anthropometric Measures, and Malnutrition Risk in Children With Autism Spectrum Disorder and Other Developmental Disabilities

    Esgin, Ozge; Ari-Arat, Ceren; Yilmaz, Gulsum; Hamitoglu, Aysun

    Purpose This study examined differences in eating behaviours, anthropometric indicators, and malnutrition risk among children aged 5-16 years with autism spectrum disorder (ASD) and other developmental disabilities (DD), including Down syndrome, developmental language disorder, and attention-deficit/hyperactivity disorder (ADHD). Methods This study was carried out using a cross-sectional design and included 220 children attending special education and rehabilitation centres: 97 autistic children (girls: 26, boys: 71) and 123 children with other developmental disabilities (DD; girls: 44, boys: 79). The DD group comprised children with Down syndrome (n = 52, 42.3%), developmental language disorder (n = 58, 47.2%), and attention-deficit/hyperactivity disorder (ADHD; n = 13, 10.6%). Results Autistic children differed from children with other developmental disabilities in both growth patterns and eating behaviour profiles. Height-for-age z-scores were higher in children with ASD than in those with Down syndrome (DS) and developmental language disorder (DLD) (p=.01). Autistic children showed higher Food Fussiness scores than children with DS (p<.05). Associations between eating behaviours and BMI-for-age varied according to diagnostic group (all interaction p<.05). In other developmental disability groups, eating behaviours also varied according to BMI-for-age categories and malnutrition risk (p<.05). Among autistic children, malnutrition risk was associated with higher Food Responsiveness and Slowness in Eating scores (p<.05). Conclusion This study showed that eating behaviours, anthropometric measurements, and malnutrition risk vary among children with ASD and diagnostically distinct developmental disability subgroups, underscoring the importance of individualised, diagnosis-informed nutritional assessment and monitoring.

    Web of SciencePubMedİncele
  • MakaleAçık Erişim2026Scopus SJRQ1
    Reading comprehension self-efficacy and mathematical problem-solving in primary education: a serial mediation model through mathematical reasoning and critical thinking

    Filiz, Tunahan; Kaplan, Kadir

    Introduction Mathematical problem-solving is fundamental for academic success and real-life challenges and involves more than procedural and computational skills. As most primary school mathematics problems are text-based, reading comprehension self-efficacy may be closely associated with students' performance in mathematical problem-solving. Grounded in Albert Bandura's social cognitive theory, this study examined the associations between reading comprehension self-efficacy and mathematical problem-solving, focusing on the sequential indirect associations involving of mathematical reasoning and critical thinking.Methods A quantitative, correlational research design was employed. The sample consisted of 518 fourth-grade students from 14 provinces across seven regions of T & uuml;rkiye. Data were collected using validated scales measuring reading comprehension self-efficacy, critical thinking, mathematical reasoning, and mathematical problem-solving skills. Data were analyzed using correlation analysis and regression-based mediation analysis.Results The findings revealed that mathematical reasoning and critical thinking partially accounted for the association between reading comprehension self-efficacy and mathematical problem-solving. The findings indicated significant indirect effects through critical thinking skills (beta = 0.18, K2 = 0.23), mathematical reasoning skills (beta = 0.04, K2 = 0.19), and the sequential pathway from mathematical reasoning to critical thinking (beta = 0.01, K2 = 0.03). Although the sequential mediation effect was statistically significant, its effect size was relatively small compared with the individual mediation effects, particularly that of critical thinking skills.Discussion These results highlight the interconnected roles of foundational cognitive processes in relation to higher-order mathematical problem-solving skills. The study contributes to the literature by emphasizing the relevance of considering reading comprehension self-efficacy, mathematical reasoning, and critical thinking as interconnected factors in early mathematics education.

    • SDG 4 · Nitelikli Eğitim
    Web of SciencePubMedİncele
  • MakaleYayıncıda açık erişim2026
    Asymmetric Nexus Between Gold and Bitcoin: New Evidence from Hidden Cointegration Approach

    Yildiz, Umit

    The main objective of this study is to investigate the symmetric and asymmetric linkages between gold, a traditional investment instrument, and Bitcoin, often referred to as the digital gold of cryptocurrencies, and to determine their direction and magnitude. Forthis purpose, the study examines cointegration relationships amongthe variables using weekly data from January 2, 2022, to April 5, 2026. According to the Engle & Granger (1987) cointegration test, there is no long-term relationship between the variables. However, the Granger &Yoon (2002) hidden cointegration test determined hidden cointegration relationships from the gold's positive components to the Bitcoin's positive components and from the Bitcoin's positive components to the gold's negative components. Subsequently, longterm coefficients are estimated using FMOLS, DOLS, and CCR estimators. The results show that a 1% increase in gold's positive shocks leads to approximately a 0.92%-0.95% decrease in Bitcoin's positive shocks. A 1% increase in Bitcoin's positive shocks results in approximately a 0.08%-0.10% increase in gold's negative shocks. The estimation results show that increases in gold prices significantly constrain the rise in Bitcoin prices, but the impact of Bitcoin price increases on gold price decreases remains limited. Finally, the findings demonstrate that gold's market-making capacity as a traditional investment vehicle is stronger than that of modern financial investment vehicles.

    Web of Scienceİncele
  • MakaleYalnız künye2026Scopus SJRQ2
    Analyzing IPO Performance on Borsa Istanbul: A Hybrid Econometric and Machine Learning Framework (2013-2025)

    Ayberkin, Doruk

    This study examines the determinants of the performance of initial public offerings (IPOs) conducted by 237 firms across 38 sectors on the Istanbul Stock Exchange between 2013 and 2025, using a hybrid analytical framework. To analyze the impact of sector characteristics, firm-level financial indicators, supply structure, and market timing on the returns of USD-denominated IPOs, this study combines heteroskedasticity-resistant ordinary least squares (OLS) regression with tree-based ensemble machine learning algorithms (random forest, XGBoost) and benchmark models (support vector regression, artificial neural network). The distributional characteristics of returns from IPOs highlight the use of nonlinear modelling techniques characterized by high positive skewness (5.12) and excess kurtosis (45.24). Our findings reveal significant sectoral heterogeneity. According to the findings, the Financial Services and Fisheries sectors showed statistically significant superior performance, while the Metal Mining, Insurance, and Construction sectors underperformed. Transportation and Storage exhibited the highest point estimate but did not reach conventional significance levels. The XGBoost machine learning model, with an R 2 of 0.869 and a mean absolute error (MAE) of 17.87, achieved superior single-split prediction accuracy compared to the OLS method, which yielded an R 2 of 0.220. However, cross-validation analyses indicated that all models exhibited limited out-of-sample generalizability (best CV R 2 = 0.04). The Diebold-Mariano test, conducted to compare prediction performance, confirmed that the artificial neural network (ANN) model provided a statistically significant improvement over the OLS method (DM = 2.121, p = 0.034). The SHAP value analysis used in the models reveals how each feature affects the final predictions, the relative importance of each feature, and the model's dependence on feature interactions. It identifies the IPO price (USD), the USD/TRY exchange rate, and the size of the supply as the most effective estimators with economically significant nonlinear interactions. The study aims to demonstrate the comparative advantages and limitations of ensemble learning under abnormal financial data conditions by presenting detailed sectoral evidence across 38 sectors. In this way, it aims to contribute to the IPO literature in emerging market economies by offering viable policy recommendations for investors, issuers, and regulators in Turkish capital markets.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    Web of Scienceİncele
  • MakaleAçık Erişim2026
    Primary School Teachers' Perceptions of Artificial Intelligence and Their Opinions on Artificial Intelligence Applications in Life Science Courses

    Ari, Sinan

    In this study, in which the perceptions of artificial intelligence of primary school teachers and the use of artificial intelligence in the life science course were examined, explanatory sequential design, one of the mixed research methods, was used. While 318 primary school teachers took part in the quantitative dimension of the study, 15 primary school teachers took part in the qualitative dimension. Artificial intelligence perception scale was used in the quantitative dimension of the study, and a semistructured interview form prepared by the researcher was used in the qualitative dimension. At the end of the study, it was determined that the perceptions of primary school teachers about artificial intelligence were generally positive, according to the graduation status variable, the teaching and learning perceptions of postgraduate teachers about artificial intelligence were higher, there was a significant difference in favor of women according to the gender variable, and in terms of seniority variable, the perceptions of teachers with 1-5 years of experience about artificial intelligence were higher. It has been revealed that primary school teachers can use artificial intelligence applications in all learning areas in the curriculum and that they use these applications mostly to create studentcentered and interactive learning environments. At the end of the research, postgraduate and in-service trainings on artificial intelligence were recommended for primary school teachers.

    • SDG 4 · Nitelikli Eğitim
    Web of Scienceİncele
  • MakaleAçık Erişim2026Scopus SJRQ1
    Seasonal and Meteorological Variability of Total Suspended Particulate Matter (TSP) in the Semi-Urban Atmosphere of Bayburt: An Integrated Assessment Based on OpenAir, PCA, and HYSPLIT

    Paloluoglu, Cihan; Akmese Tarlan, Yasemin; Bayar, Serkan

    In this study, atmospheric Total Suspended Particulate Matter (TSP) concentrations in a semi-urban area of Bayburt Province were evaluated in terms of seasonal variation, temporal behavior with meteorological factors, and air-mass transport characteristics. TSP sampling was conducted using the active sampling method over 118 days during the cold and warm-seasons sampling campaign of 2022. A high-volume air sampler (HVAS) and glass fiber filters (GFFs) were used, and TSP concentrations were determined gravimetrically. The mean TSP concentration was 29.13 +/- 29.39 & micro;g/m(3) in cold-season sampling campaign and 43.69 +/- 27.62 & micro;g/m(3) in warm-season sampling campaign. According to standard tests, the seasonal difference was nominally statistically significant (p < 0.05; Cohen's d approximate to 0.51; Cliff's delta approximate to 0.38). However, this significance did not persist after adjusting for serial autocorrelation in the AR(1) model (p = 0.151). However, this comparison should be interpreted not as validated seasonal climatological data, but as a comparison between intermittent sampling studies conducted within a single calendar year. This is because the transition period from spring to summer was not included in the sampling, and the studies were not repeated from year to year. OpenAir analyses showed that high TSP concentrations were particularly associated with easterly and southerly airflows. No clear weekday/weekend difference was observed, although episodic increases occurred on several days. The first two principal components explained 77.8% of the total variance, while the high TSP loading on PC3 indicated complementary variability. NOAA-HYSPLIT backward air-mass trajectory analyses indicated regional transport pathways in most high-TSP episodes, whereas local atmospheric stagnation was prominent in one episode. Overall, the findings show that TSP variability in semi-urban areas should be evaluated together with seasonal-meteorological variability, potential local emission effects, and regional air-mass transport.

    • SDG 13 · İklim Eylemi
    Web of Scienceİncele
  • MakaleAçık Erişim2026
    Improvement of machine learning-based diabetes diagnosis via resampling techniques

    Yapici, Irem Senyer; Arslan, Rukiye Uzun; Engin, Mustafa Alptekin

    The objective of this study is to enhance the accuracy of diabetes diagnosis through the utilisation of machine learning techniques and resampling methods. The imbalanced nature of diabetes datasets presents a significant challenge for traditional classification algorithms, which often struggle to accurately predict results. In order to enhance the efficacy of the model, a comparative analysis was conducted to assess the performance of a range of over-sampling and under-sampling techniques, including SMOTE, ADASYN, Borderline SMOTE, SVM SMOTE, Random Under Sampler, Near Miss, One Sided Selection, Neighbourhood Cleaning Rule, Edited Nearest Neighbours, Instance Hardness Threshold, AllKNN and Tomek Links. The aforementioned techniques were then applied to the Decision Tree, Random Forest, K-Nearest Neighbours, AdaBoost, Extra Tree Classifier, and machine learning classifiers, and their performance was evaluated using the accuracy, recall, precision, F-Score, and AUC-ROC performance metrics. The SVMSMOTE resampling technique was identified as the most successful method, achieving 99.06% accuracy when used in combination with the decision tree classifier. The findings demonstrate that the incorporation of resampling techniques markedly enhances diagnostic proficiency and yields more dependable forecasts. This research makes a significant contribution to the field of medical informatics, providing a robust framework for diabetes diagnosis and offering valuable insights into the application of machine learning healthcare.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    Web of ScienceTR Dizinİncele
  • MakaleAçık Erişim2026
    Experiences of Primary School Administrators in Relations with External School Stakeholders: A Phenomenal Study

    Satir, Selim; Kodan, Hulya

    The aim of this study is to reveal the experiences of primary school administrators regarding the functioning of social, cultural, and sports activities in their relationships with out-of-school environmental stakeholders. The study is qualitative in nature and employs a phenomenological research design. The study group consists of school administrators working in primary schools affiliated with the ... District of ... Province during the 2023-2024 academic year. The data were collected using a semi-structured interview form prepared by the researcher. Content analysis was used to analyze the data. The findings indicate that parents contribute in areas such as the provision of tools and materials; however, negative situations were also observed, such as perceiving activities as unnecessary. While the moral support of senior administrators was emphasized, serious problems such as discrimination also came to the fore. The contributions of local governments, such as transportation support, were highlighted; however, issues such as geographical discrimination driven by politics were also noted. Although political parties were found to provide material support to schools, political interference in education was emphasized as a negative experience. In relations with labor unions, material support was highlighted, whereas educational support was emphasized in relations with non-governmental organizations. It was determined that social media contributes positively to the functioning of various activities by increasing visibility, but it also creates negative effects, such as pressure to engage in constant sharing. Various recommendations were presented, including encouraging parents' active participation in social activities and developing support policies to prevent geographical and political discrimination.

    • SDG 4 · Nitelikli Eğitim
    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
    Web of ScienceTR Dizinİncele
  • MakaleAçık Erişim2026
    The Effects of Digital Text Authorship on the Online Writing Skills and Affective Features Related to Writing of Students: The Case of Georgia

    Önal, Aydin; Maden, Sedat

    This research aims to investigate the impact of digital text authorship on bilingual middle school students' online writing skills and affective characteristics related to writing. An explanatory sequential mixed-methods design was adopted, integrating both quantitative and qualitative research approaches. The quantitative phase followed a quasi-experimental pretest-posttest control group design, whereas the qualitative phase was based on the phenomenological method. The study sample consisted of 32 bilingual eighth-grade students studying at a Turkish school in Georgia. The implementation process lasted for 20 weeks and 48 class hours including the pretest and the posttest. The quantitative results demonstrated that instruction focused on digital text authorship led to notable improvements in the online writing achievements of students within the experimental group. Furthermore, it was associated with a decline in writing-related anxiety and a rise in students' motivation to write. Qualitative analyses revealed that such instruction developed learners' digital writing competence, encouraged greater attention to linguistic accuracy and vocabulary use, streamlined the writing process, supported clearer self-expression, and contributed to a more enjoyable experience in digital writing settings. Overall, digital text authorship instruction enhanced students' online writing proficiency while simultaneously promoting positive emotional engagement with writing.

    • SDG 4 · Nitelikli Eğitim
    Web of Scienceİncele
  • MakaleAçık Erişim2026
    The Effect of Abusive Supervision on Knowledge-Hiding: The Mediating Role of Machiavellianism and the Moderating Role of Moral Identity among Healthcare Workers

    Kilinç, Mehmet

    This study aims to reveal the mediating role of Machiavellianism in the effect of abusive supervision on knowledge-hiding behavior and the moderating role of moral identity in the relationship between Machiavellianism and knowledge-hiding behavior. The study adopts the Conservation of Resources (COR) Theory as its theoretical framework. Quantitative data were obtained from 408 healthcare professionals using the survey method. The analyses conducted via SPSS, AMOS, and Process Macro revealed that abusive supervision significantly increases knowledge-hiding behavior (beta = .855) and Machiavellianism (beta = .820). Furthermore, Machiavellianism acts as a mediator in the relationship between abusive supervision and knowledge-hiding. A notable finding is that moral identity acts as a moderator (beta = .134), strengthening the positive effect of Machiavellianism on knowledge-hiding behavior. Considering the analysis results, some suggestions specific to healthcare institutions, healthcare workers, and future studies were presented. Theoretically, this study contributes to the Dark Triad literature by demonstrating how abusive environments trigger resource conservation through knowledge-hiding. Practically, suggestions for preventing toxic leadership and improving ethical climates in healthcare institutions are presented. Health institutions should implement a reward system for employees who demonstrate helpfulness and teamwork to decrease Machiavellian behaviors.

    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
    Web of ScienceTR Dizinİncele
  • MakaleAçık Erişim2026
    Perception of Organizational Sycophancy in Universities: A Research on Academicians

    Aribas, Ayse Nihan; Esmer, Yusuf; Yüksel, Muhammet

    Today, it is seen that unethical behaviors are diversifying in universities, which are accepted as value-based organizations. Sycophancy, which is an unethical behavior in universities where the hierarchical structure is evident, emerges as an important issue in academic circles. The purpose of this study is to examine the perception of organizational sycophancy in universities. In the study, 36 academicians were interviewed within the scope of qualitative research method. The answers given by the academics were processed in depth within the scope of the themes determined in accordance with the content analysis technique. The results of the study showed that sycophantic behavior is quite common in universities, that it leads to various negative consequences in the academic environment, and that there are many factors that lead to sycophantic behavior. In conclusion, organizational sycophancy is a phenomenon intertwined with academic success, cooperation and organizational culture in universities. The role of sycophantic behaviors, the attitudes of academics towards managers and the place of these attitudes in organizational structures is a topic that requires more research in academic circles. In this context, studies on sycophancy in universities provide important information for academic success and improvement of the work environment.

    Web of ScienceTR Dizinİncele