Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(117)
- Kaya, Yunus(51)
- Şahin, Engin(48)
- İspirli, Hümeyra(47)
- Özen, Soner(46)
- Şenay, Volkan(45)
- Pat, Suat(44)
- Can, Zehra(39)
- Bayraktar, Bülent(37)
- Bayram, Sinan(37)
- Korkmaz, Şadan(36)
- Cuce, Erdem(35)
- Ecem Bayram, Nesrin(33)
- Kutlu, Naciye(33)
- Yilmaz, Mustafa Tahsin(32)
- Artar, Musa(31)
- Ertugrul, Mehmet(30)
- Öner, Erdal(30)
- Ayata, Ümit(29)
- Hasar, Ugur Cem(29)
- Esmer, Yusuf(28)
- Mercan, Emin(27)
- Cuce, Pinar Mert(26)
- Özdemir, Akın(25)
- Çolak, Murat(24)
- Bayram, Ozkan(23)
- Kamiloğlu, Aybike(23)
- Sert, Durmuş(22)
- Ayazoglu, Rabil(21)
- Abdioglu, Murat(20)
- Bayram, Nesrin Ecem(20)
- Kadakal, Mahir(20)
- Kara, Yakup(20)
- Kizil, Hamit Emre(20)
- Tozlu, Alperen(20)
- Birinci, Ahmet(19)
- Gerçek, Yusuf Can(19)
- Battal, Fetullah(18)
- Dirican, Ebubekir(18)
- Ergün, Mustafa(18)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ4The Impact of Quizizz on Turkish EFL High School Students’ Vocabulary Learning
Aybirdi, Nilüfer; Kirca, Sinem
Mastering vocabulary plays a pivotal role in the overall process of foreign language learning. Owing to technological progress, mobile-based learning tools have gained significant popularity in aiding learners of English as a foreign language. This research, adopting a mixed-methods design that integrated both quantitative and qualitative perspectives, examined how using the Quizizz platform influenced Turkish EFL learners’ vocabulary growth. Participants comprised 64 eleventh-grade students enrolled in a Turkish vocational and technical high school, who were randomly divided into experimental and control groups. During a six-week intervention, students in the experimental group practiced new vocabulary via Quizizz, whereas those in the control group learned identical word sets using conventional whiteboard-based lists. Improvements in vocabulary knowledge were measured through pre- and post-tests specifically developed by the researchers. Students’ attitudes toward Quizizz were explored using a 12-item survey complemented by semi-structured interviews. Findings indicated that participants in the experimental group demonstrated notably higher vocabulary improvement than those in the control group. Students further expressed that the Quizizz platform was easy to use, enjoyable, and practical. The overall outcomes highlight how mobile-assisted technologies can effectively foster vocabulary acquisition and boost learner engagement within EFL settings.
- MakaleAçık Erişim2026Role of artificial intelligence in the process of innovation management: dimensions, themes and examples
Esmer, Yusuf
This study aims to discuss the role of artificial intelligence (AI) in innovation management in a conceptual framework. In line with the purpose of the research, the conceptual analysis technique was used within the scope of qualitative research methods. In this context, the effects of AI on innovation management are explained based on relevant scientific research, reports and sectoral examples. How AI is integrated with innovation management processes, its application areas, and its potential future effects are examined. It has been concluded that AI affects important elements of organizations such as knowledge management, organizational flexibility, organizational innovation, decision-making, sustainable growth, organizational culture and strategic human resources management and that AI makes innovation management processes more efficient and effective with the opportunities it offers in areas such as big data analysis, machine learning and automation. The role of AI in innovation management stands out as an important element for modern organizations and reveals that research in this field should be examined in depth. This study examines the role of AI in innovation management processes within a conceptual framework and recommends that future studies conduct empirical research to expand on this topic. This study provides important in terms of revealing the role of AI in innovation management based on the relevant literature and with examples and will contribute to the literature.
- MakaleAçık Erişim2026Matematiksel Üst Düzey Düşünme Ölçeği: Türkçeye Uyarlama, Geçerlik ve Güvenirlik Çalışması
Kaplan, Abdullah; Kurdal, Cem
Matematik eğitimi, öğrencilerin yalnızca işlem becerilerini değil; eleştirel, yaratıcı, problem çözme ve üstbilişsel düşünme becerilerini de geliştirmeyi hedefler. Bu bağlamda, matematiksel üst düzey düşünme becerilerinin geçerli ve güvenilir biçimde ölçülmesi hem öğretimin değerlendirilmesi hem de bilişsel gelişimin izlenmesi açısından önemlidir. Bu araştırma, Zhou vd. (2024) tarafından geliştirilen Matematiksel Üst Düzey Düşünme Ölçeği’nin Türk kültürüne uyarlanmasını ve geçerli, güvenilir bir ölçme aracı elde etmeyi amaçlamaktadır. Orijinal ölçekte matematiksel eleştirel düşünme, yaratıcı düşünme, problem çözme ve üstbilişsel beceriler olmak üzere dört temel boyut ve dokuz alt boyut yer almaktadır. Geri çeviri yöntemiyle Türkçeye uyarlanan ölçek, uzman görüşleri doğrultusunda düzenlenmiş ve 417 lise öğrencisine uygulanmıştır. Ölçeğin yapı geçerliği doğrulayıcı faktör analizi (DFA) ve ikinci düzey DFA ile incelenmiş; cinsiyete göre ölçüm değişmezliği analizi yapılarak biçimsel, metrik, skalar ve hata değişmezliği düzeylerinde modelin değişmezliği doğrulanmıştır. Güvenirlik analizleri sonucunda boyutlar arası korelasyonlar incelenmiş ve ölçeğin iç tutarlılığı sağlanmıştır. Bulgular, ölçeğin Türk kültüründe geçerli ve güvenilir bir ölçme aracı olduğunu göstermektedir.
- MakaleYalnız künye2026Examining the Attitudes of Physical Education Teacher Candidates Toward the Teaching of Students with Special Needs
Aydemir, Uğur
This study aims to investigate the attitudes of physical education teacher candidates toward teaching students with special needs. The study, designed as a descriptive survey, involved 284 teacher candidates studying in physical education teacher training departments at universities. Data were collected using the “Attitudes of Physical Education Teachers Toward the Education of Individuals with Disabilities-III” scale. The Mann-Whitney U-test was used for data analysis. The findings obtained as a result of the analyses revealed that the attitudes of physical education teacher candidates toward the teaching students with special needs were negative. It was determined that the attitude scores of physical education teacher candidates toward the teaching students with attention deficit and hyperactivity disorder were lower than their attitude scores toward other special needs groups. In addition, it was observed that teacher candidates who had individuals with special needs in their families, who had previously taught individuals with special needs, and who had taken courses on individuals with special needs during their undergraduate education had higher attitude scores, while there was no significant difference in the attitude scores of physical education teacher candidates according to gender. In light of these findings, it is recommended that application-oriented course content be created during undergraduate education and that activities be organized in which physical education teacher candidates participate together with students with special needs, in order to contribute to the development of positive attitudes toward the teaching students with special needs among physical education teacher candidates.
- MakaleAçık Erişim2026Artificial intelligence applications in organizations from an employee perspective: a bibliometric analysis
Durmuş, İbrahim
In organizational settings, the effectiveness of artificial intelligence (AI) and AI-based applications in employees' activities continues to increase steadily over time. While this situation provides some conveniences to employees, it has also brought several concerns. Accordingly, a need has emerged to identify areas of collaboration and conflict between employees and AI. From this perspective, the present study aims to generate insights into employee–AI interactions at the organizational level. Literature on AI applications and their impact on employees is included. Bibliometric analysis was conducted using Web of Science (WoS) database. This research covers an application that includes a total of 497 studies published between 1996 and 2024. The keywords most emphasized by the authors in AI applications include artificial intelligence, machine learning, management, artificial, knowledge, learning, deep learning, intelligence, big data, data mining, employee, human resources, machine, technology, business, knowledge management, performance, and artificial neural networks. In the analysis, strong relationships between the concepts of artificial intelligence, machine learning, management, data mining, digital transformation, analysis, technology, employee, human resources, collaboration, productivity, human resource management, big data, performance, and digital technologies were revealed. Results have shown that the use of artificial intelligence in businesses is related to many concepts from the employees' perspective. The research offers important implications for strategic decision-making in areas such as human resources management, collaboration, performance, and digital transformation, based on the concepts that emerge in the interaction of artificial intelligence applications with employees.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2026The Transformation of Local Independent Retail in City Centers and Its Effects on the City's Macroform: The Case of Ankara
Yıldız, Seçil Gül Meydan; Şengün, Hayriye; Kara, Adnan; Ozden, Erdemalp
The unplanned growth of city centers threatens the local fabric of cities, while local retail has become an important component of preserving city identity and sustainable consumption. This research aims to examine the effect of shopping motivations on customer satisfaction and to determine how factors such as customer proximity, relationships with local suppliers, and store atmosphere shape consumers' perception of Urban Attachment. Data obtained using systematic and stratified sampling methods in the districts of Altındağ, Çankaya, Etimesgut, Gölbaşı, Keçiören, Mamak, Pursaklar, and Sincan in Ankara were analyzed. Statistical analysis methods such as linear regression, logistic regression, ANOVA, and independent samples t-test were used in the study. Regression analyses show a positive and statistically significant relationship between shopping motivations and customer satisfaction. Furthermore, proximity to the customer and relationships with local suppliers were found to have a significant and positive effect on customer satisfaction. Shopping motivations, community connection, and store atmosphere factor scores showed significant differences across different visit frequency groups. This study uniquely highlights the critical role local retailers play in strengthening consumers' emotional connection to the city. The findings emphasize local businesses' importance in preserving city identity and creating a sustainable consumption ecosystem.
AtıfOpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ4The scientific structure of the field of rural development and social entrepreneurship: A bibliometric analysis based on web of science data
Battal, Fetullah; Öz, Halil Hakdan; Yılmaz, Şeymanur
Purpose: This study was conducted to reveal the scientific trends, thematic structures, and intellectual orientations in the literature on rural development and social entrepreneurship. The study aims to provide a comprehensive overview of current research trends by identifying the points of intersection between these two fields.Design/Methodology/Approach: A bibliometric analysis technique was used in the research. Data was obtained from the Web of Science (WoS) database and focused on the period between 2006 and 2025. Only research articles published in the fields of Business, Management, and Economics were included in the analysis. A total of 407 articles were examined, and the annual growth rate was calculated as 20.58%.Results: The results show that social entrepreneurship is playing an increasingly strategic role in rural development processes and that publications in the literature are concentrated around the themes of social capital, innovation, women's entrepreneurship, and sustainability. Aleksandras Stulginskis University, South China Agricultural University, and the University of Nigeria stand out among the most productive institutions. Bradford Law findings reveal that publications are concentrated around a small number of core journals. Consequently, the role of social entrepreneurship in rural development is related not only to economic growth but also to social welfare and sustainability dimensions.Originalit/Value: This study is one of the few bibliometric analyses that jointly examine social entrepreneurship and rural development. Based on Web of Science data, it reveals the research networks, thematic trends, and future research opportunities in the field, making a significant contribution to the literature.
- MakaleAçık Erişim2026Mapping the intersection of artificial intelligence and leadership research: a bibliometric analysis of wos publications (2016–2024)
Battal, Fetullah; Öz, Halil Hakdan
In the Industry 4.0 era, where Artificial Intelligence (AI) technologies are becoming increasingly widespread, studies in the field of leadership are trying to unite the issues of AI and leadership under a common roof by emphasising the main perspectives of leadership. In existing research, the interaction between AI and leadership is evaluated from three different perspectives. The first one is that AI will support leadership functions (development perspective). The second is that AI will replace leadership in the future (Replacement perspective). The third is that the influence of AI on leadership organisations is overestimated (sceptic perspective). In this study, systematic insights from multiple perspectives on the impact of AI technologies on leadership in today’s organisations has been attempted through bibliometric analysis. In this way, it is aimed to summarise the studies on AI and leadership, to identify the trends of research topics and to identify research gaps. Finally, the possible input of this study is to deliver a basis for future empirical and applied studies on related topics. The study was carried out based on the data of various types of researches in the Web of Science database and conducted between 2016 and 2024
- MakaleAçık Erişim2026Hareketsiz bireylerde kettlebell egzersizlerinin kas mimarisi ve gerilme-kısalma döngüsü fonksiyonu üzerıne etkileri
Kul, Murat; Hazar, Kürşat; Öktem, Tuncay; Berk, Hazar Emre
Bu çalışma, sekiz haftalık kettlebell ve fitness egzersizlerinin vastus lateralis (VL) kas mimarisi ve dikey sıçrama performansı üzerindeki etkilerini incelemiştir. Yaşları 18-45 arasında değişen, sağlıklı 20 erkek katılımcı (kettlebell grubu: n=10; fitness grubu: n=10) çalışmaya dahil edilmiştir. Ön test değerlendirmeleri VL ultrason ölçümleri ve dikey sıçrama testlerini içermiştir. Kettlebell grubu balistik kettlebell egzersizleri gerçekleştirirken, fitness grubu geleneksel direnç antrenmanı uygulamıştır. Grup içi değişimleri analiz etmek için eşleştirilmiş örneklem t-testi, gruplar arası farklılıkları değerlendirmek için bağımsız örneklem t-testi kullanılmıştır. Anlamlılık düzeyi p<0,05 olarak kabul edilmiştir. Kettlebell egzersizleri squat sıçrama (SS) ve aktif sıçrama (AS) performansını anlamlı derecede artırmıştır. VL kas kalınlığı ve dinamik pennasyon açısındaki değişimler istatistiksel olarak anlamlı bulunmamakla birlikte artış eğilimi göstermiştir. Buna karşılık fitness egzersizleri VL kas kalınlığını, pennasyon açısını (PA) ve squat sıçrama (SS) performansını anlamlı derecede artırmış, ancak aktif sıçrama (AS) üzerinde anlamlı bir etki göstermemiştir. Her iki grupta da fasikül uzunluğunda (FU) anlamlı bir değişiklik gözlenmemiştir. Bu bulgular, kettlebell egzersizlerinin gerilme-kısalma döngüsü aracılığıyla patlayıcı performansı geliştirdiğini, fitness egzersizlerinin ise kas hipertrofisi ve kas mimarisi adaptasyonlarını daha etkili şekilde desteklediğini göstermektedir. Her iki egzersiz türü farklı hedeflere hizmet etmektedir; bu nedenle bireysel antrenman hedeflerine bağlı olarak birlikte uygulanmaları hem performans hem de kas yapısı açısından faydalı olabilir.
- MakaleAçık Erişim2026Phytochemical profile, antioxidant potential, and cytotoxic effect of the ethanol extract of Micromeria fruticosa
Çakır, Özlem; Topcu, Kübra Cinar; Anlar, Pinar
In this study, the ethanol extract of dried Micromeria fruticosa (L.) Druce, commercially sourced from the Tortum Valley (Erzurum Province), was comprehensively analysed to evaluate its bioactive potential. Considering that geographical origin and botanical differences significantly influence phytochemical composition and biological activity, the use of locally sourced commercial samples provides valuable data for plant standardisation and comparative studies. The total antioxidant activity of the extract was determined as 8.84±0.10, 4.96 ±0.05, 34.64 ±0.69, and 18.27 ±0.11 mg TE/g dry weight by DPPH, FRAP, CUPRAC, and ABTS assays, respectively. The total phenolic content was 26.25 mg GAE/g dry weight, and LC-MS/MS analysis revealed a high quinic acid content (93.395 mg/g). ICP-MS analysis showed high levels of essential minerals (Na, Mg, K, Ca, Fe, and Al), while toxic elements such as Cd, Te, and Tl were below the limit of detection, and Pb and Ba were present at very low concentrations. Additionally, the extract significantly reduced A549 lung cancer cell viability in a dose-dependent manner. Overall, Tortum Valley–derived M. fruticosa represents a promising natural bioactive source, and this study highlights the impact of local botanical and environmental variations on the biological activity of the same plant species.
- MakaleAçık Erişim2026Assessment of The Relationship Between Telomere Length and Physiological Parameters in Cattle Infected with Bovine Leukosis Virus
Ince, Omer Baris; Bayraktar, Bülent; Tezcan, Erdem; Korkmaz, Serol; Sait, Ahmet
The study aims to investigate the relationship between relative telomere lengths and various physiological parameters in cattle infected with bovine leukosis virus, as well as to identify the risk factors associated with cow-level bovine leukosis virus infection in dairy cattle in Türkiye. Three variables—age, parity, and body condition score—were used for risk assessment. Antibodies specific to bovine leukosis virus were detected using an enzyme-linked immunosorbent assay, and relative telomere lengths were measured by polymerase chain reaction. The highest seropositivity rate (39.13%) was observed in cattle with a body condition score of 3–3.5 and aged between 2–8 years. relative telomere length was found to be positively correlated with seropositivity, advanced age, and parity, while a negative correlation was observed between seropositivity and body condition score. Relative telomere lengths in bovine leukosis virus-infected cattle were significantly shorter (P < 0.05) than those in non-infected cattle. Among body condition score groups, the shortest relative telomere lengths were found in bovine leukosis virus-infected cattle with body condition score ≤ 2.5 and in non-infected cattle with body condition score 3–3.5. Regarding age groups, the shortest relative telomere lengths were observed in bovine leukosis virus-infected cattle older than 8 years (P < 0.05), as well as in non-infected cattle of the same age group (P < 0.05). In conclusion, relative telomere lengths in bovine leukosis virus-infected cattle were found to be significantly shorter than in non-infected cattle (P < 0.05). The shortest relative telomere lengths were recorded in both bovine leukosis virus-infected and non-infected cattle over 8 years of age (P < 0.05). Finally, the association between bovine leukosis virus infection and relative telomere lengths, along with other factors such as age, parity, and body condition score, is considered potentially useful for disease control and prevention programs.
AtıfOpenAlex1İncele - MakaleAçık Erişim2026A 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.
- MakaleAçık Erişim2026Market-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.
- MakaleAçık Erişim2026Social 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.
- MakaleAçık Erişim2026Scopus SJRQ1Global 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.
- MakaleAçık Erişim2026ECONOMIC 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.
- MakaleYayıncıda açık erişim2026Yİ-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.
- MakaleYalnız künye2026Scopus SJRQ1Comparison 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.
- MakaleAçık Erişim2026Scopus SJRQ1Reading 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.
- MakaleYayıncıda açık erişim2026Asymmetric 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.
