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A Machine Learning Approach to Identify High-Risk Road Segments and Accident Severity Patterns Based on Categorical Data
Traffic accidents remain a major public safety concern, particularly in regions where rapid motorization and limited infrastructure increase crash risk. This study proposes a machine learning-based framework to classify traffic accident severity and identify high-risk road segments using multidimensional crash data from & Scedil;& imath;rnak Province, Turkey. The dataset, obtained from the General Directorate of Security (EGM), contains 29 variables describing traffic, geometric, and operational roadway characteristics for crashes reported between 2018 and 2023. Due to the severe imbalance between injury and fatal crashes, the Synthetic Minority Oversampling Technique (SMOTE) was applied to enhance model sensitivity to the minority class. Five classifiers-Logistic Regression (LR), Support Vector Machines (SVM), Multilayer Perceptron (MLP), Random Forest (RF), and Extreme Gradient Boosting (XGBoost)-were trained and evaluated using accuracy, F1-score, ROC-AUC, and alarm metrics. Results from the original dataset showed that several models struggled to detect fatal crashes, while LR demonstrated moderate sensitivity. After SMOTE, performance improved across all models. XGBoost achieved the highest F1-score (0.61) with the lowest False Alarm rate (0.01), followed by RF and MLP, whereas SVM and LR yielded comparatively lower accuracy. Computation time analysis indicated that LR and SVM had the fastest runtimes, while MLP and XGBoost required longer training times. Overall, findings highlight the effectiveness of ensemble models-particularly XGBoost-in capturing critical crash patterns and supporting risk-based decision-making. Future work should incorporate time-series analysis and GIS-based spatial modeling to further enhance predictive capability and inform geographically targeted safety interventions
Impact of Environmental Concern and Awareness on Passengers' Intentions to Participate in Carbon Offset Schemes in Aviation: The Mediating Role of Attitude
This study investigates the influence of Environmental Concern (EC) and Awareness of Consequences (AC) on passengers' Intentions to Participate in Carbon Offset Schemes (IPCOS) in aviation, with particular emphasis on the mediating role of Attitude (ATT). The research hypotheses were assessed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with the measurement and structural models evaluated using Smart-PLS 4 software. The findings indicate that AC has a direct and positive effect on both ATT and IPCOS. In contrast, EC does not directly influence IPCOS, suggesting that concern alone is insufficient to drive participation without presence of a positive ATT. The results confirm that ATT plays a crucial mediating role in the relationships between both EC and IPCOS, as well as AC and IPCOS. To enhance participation rates, policymakers should focus on increasing public awareness through targeted campaigns that highlight the environmental benefits and ethical dimensions of carbon offset schemes
Adaptation and validation of a Turkish language version of braden qd scale for predicting risk of medical device-related pressure ınjuries in pediatric patients
PURPOSE: This purpose of this study was to evaluate the validity and reliability of a Turkish language version of the Braden QD Scale for predicting medical device-related pressure injury (MDRPI) risk in pediatric patients. DESIGN: Validity and reliability study. SUBJECTS AND SETTING: The sample comprised 71 children in the pediatric intensive care units of a maternity and child hospital; Cengiz Gökçek Maternity and Children's Hospital locates in Gaziantep, Turkey. METHODS: A Turkish language version of the Braden QD Scale was constructed, and its construct validity and content validity were measured. Several forms of reliability were measured, including internal consistency using Cronbach's alpha coefficient, along with intra-class and interobserver reliability. The sensitivity and specificity of the scale were tested by analyzing a receiver operating characteristics curve. Data were collected from May 1 to May 20, May 2022. RESULTS: The Braden QD-T had lower (fair) content validity (Kendall's W 0.217, P = .001) and adequate construct validity (Kaiser-Meyer-Olkin [KMO], 0.619; P = .000). It demonstrated excellent internal consistency (Cronbach's alpha 0.878). The intra-class correlation coefficient varied from 0.979 and 1.000, indicating excellent intra-class reliability. The interobserver reliability coefficients varied from acceptable to excellent at 0.661 and 0.984. CONCLUSION: The Turkish version of the Braden QD Scale for predicting risk of MDRPI in pediatric population was determined to be a valid and reliable risk assessment tool for predicting risk for MDRPI. Copyright © 2025 by the Wound, Ostomy, and Continence Nurses Society
Investigation of the effect of dance therapy on balance, risk of falls, body awareness and functionality in females with chronic low back pain
The objective of this study was to determine the effect of dance therapy on balance, risk of falls, body awareness and functionality in females with chronic low back pain. Forty females were divided into two groups and randomly allocated to either the dance therapy group or the control group. The dance therapy group received an individualized dance therapy programme consisting of choreographies from different dance genres three days per week for eight weeks. The control group received a conventional exercise training programme for a total of 20 sessions. All participants underwent assessments at the beginning, middle, and end of their respective programmes. The short-form McGill Pain Questionnaire was employed for pain assessment. Functionality was evaluated using the Oswestry Disability Index, while body awareness was measured using the Body Awareness Rating Questionnaire. The Timed Up and Go test and the Y balance test were employed for the assessment of the risk of falls and balance, respectively. Both groups were asked to rate their satisfaction with the treatment on an 10-point Likert scale after completion of the treatment. Significant improvements were found in all parameters tested in both groups after completion of the treatments (p < 0.05). However, the dance therapy programme was more effective than conventional treatment in improving functionality, body awareness, balance, and pain and reducing the risk of falls (p < 0.05). The results indicated that satisfaction with treatment was greater in the dance therapy group than in the control group (p < 0.05). Dance therapy can be an effective treatment for patients with chronic low back pain, improving balance, body awareness, functionality, and reducing the risk of falls. © 2025 Informa UK Limited, trading as Taylor & Francis Group
Enhancing preschool teachers’ capacity to support children’s social emotional learning in Turkey
Early childhood teachers are critical in implementing social and emotional learning (SEL) while working with young learners. This qualitative study examined preschool teachers’ experiences in Turkey regarding their involvement in a SEL intervention. Four preschool teachers attended teacher workshops and received coaching support through the REACH program to improve children’s social-emotional development. Data were collected through in-depth interviews, classroom observations, and documents, including teachers’ reflective journals and implementor’s research journal. Thematic analysis was used to identify common themes in the data and four main themes emerged: (1) benefits to teachers, (2) benefits to children, (3) facilitators of implementation, and (4) barriers to implementation. The results underscore the importance of providing professional development support to increase teachers’ capacity to support children’s SEL. The findings suggest that providing coaching support may be a focus area for effective SEL implementation. Furthermore, results highlight that culturally adapted SEL programs are necessary for successful implementation. © 2025 Childhood Education International
6 Şubat Depremi sonrası yeniden yapılaşmada alınabilecek ekolojik önlemler kapsamında sazgın (gaziantep) ekolojik köy projesinin değerlendirilmesi
Doğal kaynakların tükenişi, iklim değişikliği ve buna bağlı gelişen doğal felaketler, hızlı nüfus artışı, artan kentleşme ve sosyal eşitsizlik son yıllarda yüksek seviyelere ulaşmış durumdadır ve gitgide artan bir ivmeyle bu problemler çoğalmaktadır. Gezegenimizin taşıma kapasitesini aşan ekolojik problemler hem doğanın hem de insanın yaşamını tehdit etmektedir ve gerekli önlemler alınmadığı takdirde bu tehdit katlanarak devam etmeye mahkumdur. 6 Şubat 2023, Türkiye'nin güneydoğusundaki şehirler için yıkıcı sonuçlar doğuran tarihi bir deprem günüdür. Bu depremler, sadece fiziksel yapıların yıkılmasıyla kalmayıp, sosyal yapının, ekonomik istikrarın ve çevresel dengenin de derinden etkilenmesine neden olmuştur.Bu çalışma, Gaziantep'in Oğuzeli ilçesindeki Sazgın Köyü Ekolojik Köy Projesi bağlamında, sürdürülebilir kalkınma ilkelerinin 6 Şubat depremi sonrası yeniden yapılaşma süreçlerine nasıl entegre edilebileceğini araştırmayı hedeflemektedir. Proje, yerel kaynakların etkin kullanımı, çevre dostu yapı malzemelerinin tercih edilmesi ve toplumsal dayanışma yaklaşımlarını temel almaktadır ayrıca sivil Gaziantep mimarisi enerji etkin yapı tasarımında alınabilecek pasif önlemler başlığı altında incelenmektedir. Araştırma kapsamında, Gaziantep'te yerel yönetim tarafının, ekolojik sürdürülebilirlik kapsamında attığı adımlar vurgulanmaktadır. Sazgın Köyü'nün mevcut durumu GZFT analiziyle incelenmektedir ve bölgenin güçlü ve zayıf yönleri belirlenmektedir. Önerilen projede, enerji etkin yapıların inşası, sıkıştırılmış toprak ve yeşil beton gibi sürdürülebilir malzemelerin kullanımı vurgulanmaktadır. Bununla birlikte, ekolojik, sosyo-kültürel, ekonomik sürdürülebilirlik ilkelerinin güçlendirilmesini hedefleyen stratejiler geliştirilmektedir. Proje, sadece fiziksel yeniden yapılanmayı değil, aynı zamanda çevresel sürdürülebilirlik ve sosyal dayanıklılık odaklı bir yaklaşımı benimsemektedir. Bu bağlamda, projenin ulusal ve uluslararası düzeyde örnek teşkil edecek bir girişim olduğu değerlendirilmektedir. Elde edilen bulgular ve sonuçlar ışığında bu proje uluslararası literatürde kabul görmüş ekolojik köy projeleriyle beraber sürdürülebilirlik kriterleri kapsamında değerlendirilerek elde edilecek sonuçlar incelenmektedir. Sonuç olarak, Sazgın Köyü Ekolojik Köy Projesi, sürdürülebilir yapılaşma ve toplumsal kalkınma için ilham verici bir model sunmaktadır.The depletion of natural resources, climate change and related natural disasters, rapid population growth, increasing urbanization, and social inequality have reached high levels in recent years, and these problems are multiplying at an increasing rate. Ecological problems that exceed the carrying capacity of our planet threaten both nature and human life, and if necessary measures are not taken, this threat is doomed to continue exponentially. February 6, 2023 is a historic earthquake day with devastating consequences for cities in southeastern Turkey. These earthquakes not only resulted in the destruction of physical structures, but also deeply affected the social structure, economic stability, and environmental balance. This study aims to investigate how sustainable development principles can be integrated into the reconstruction processes after the 6 February earthquake in the context of the Sazgın Village Ecological Village Project in the Oğuzeli district of Gaziantep. The project is based on the efficient use of local resources, the preference of environmentally friendly building materials and social solidarity approaches, and the civil architecture of Gaziantep is studied under the title of passive measures that can be taken in energy efficient building design. Within the framework of the research, the steps taken by the local administration in Gaziantep within the framework of ecological sustainability are emphasized. The current situation of Sazgın Village is analyzed through SWOT analysis and the strengths and weaknesses of the region are identified. The proposed project emphasizes the construction of energy efficient buildings and the use of sustainable materials such as rammed earth and green concrete. In addition, strategies are being developed that aim to strengthen the principles of ecological, socio-cultural and economic sustainability. The project adopts an approach that focuses not only on physical reconstruction, but also on environmental sustainability and social resilience. In this context, the project is considered to be an exemplary initiative at national and international level. In the light of the findings and results obtained, this project is evaluated within the scope of sustainability criteria together with ecological village projects accepted in the international literature and the results to be obtained are examined. In conclusion, Sazgın Village Ecological Village Project offers an inspiring model for sustainable construction and social development
Synthesis and characterisation of molecularly ımprinted microspheres for the determination of kanamycin
This study aims to propose a methodology based on molecularly imprinted polymer solid phase extraction (MISPE) prior to instrumental analysis of kanamycin, a type of antibiotic. Solid phase extraction of kanamycin antibiotic, which is in the aminoglycoside class of antibiotics, from commercially purchased milk samples was carried out by molecular imprinting technique. After this process, the amount of kanamycin was determined by UV-visible spectrophotometry. This antibiotic in milk was removed by molecular imprinting method. The molecular imprinting technique was aimed to form complexes of functional monomers around a mould molecule with covalent or non-covalent interactions and then to form imprinted polymers with chemical function through an appropriate processing process. By removing the imprinted molecule after the process, a hollow cavity specific to the imprinted molecule was formed in the polymeric structure. These molecularly imprinted polymers were used as an ideal material for processes such as separation, chemical determination and catalysis. Molecularly imprinted microspheres were prepared for the determination of kanamycin antibiotic, the active ingredient of the drug in milk. The results obtained show that the proposed method can determine kanamycin in milk with high recovery rates and low relative standard deviation. © 2025, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved
Modeling critical rework factors in the construction industry: Insights and solutions
Construction professionals recognize rework’s negative impact on project performance, yet a comprehensive understanding of its critical factors still needs to be provided. Consequently, this study sought to inquire deeply into the causes of construction rework. A systematic framework was employed to achieve the research objectives. Initially, potential causes of rework were identified through a systematic literature review. Subsequently, a survey was developed and emailed to the sample group. Exploratory factor analysis was used to extract critical rework factors (CRFs) and normalized mean value analysis was used to evaluate the criticality of the obtained causes. Structural equation modeling was used to quantify and simulate the effect sizes of the components that were collected. Out of 43 possible causes, this study found 21 critical causes why rework occurs in the Turkish construction sector. Additionally, it uncovered four original CRFs, namely “management and planning deficiencies”, “design and time constraints”, “labor quality and compliance issues”, and “project dynamics and communication challenges”. While numerous studies have explored rework causes using different approaches and methodologies, there remains a lack of insight into the key factors leading to rework. Unlike earlier research, this study offers a thorough and quantitative identification of four distinct critical rework factors in Turkey. © 2025 by the authors
A novel loss of function mutation in the HAVCR2 gene in a patient diagnosed with Hodgkin's lymphoma
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Synthesis and characterization of NiO nanoflower for dispersive micro solid phase extraction of zinc from water and food samples
This study introduces a dispersive micro solid phase extraction (DµSPE) method utilizing NiO nanoflowers for the analysis of zinc in food, environmental, and wastewater samples, employing Inductively Coupled Plasma- Optical Emission Spectrometry (ICP-OES). The synthesized NiO nanoflower-like nanoparticle was characterized through Fourier Transform Infrared Spectroscopy (FT-IR), X-ray Diffraction (XRD), and Scanning Electron Microscopy (SEM). Additionally, various parameters including pH, sample volume, adsorbent quantity, and extraction time were investigated to optimize the NiO nanoflower-based SPME (NiO nanoflower-SPME) method. The analytical performance metrics, specifically the limit of detection (LOD), limit of quantification (LOQ), and relative standard deviation (RSD), were determined to be 0.77 µg L−1, 2.56 µg L−1, and 3.9 %, respectively. Furthermore, addition-recovery studies conducted on real samples, along with analyses of standard reference materials, were performed to validate the accuracy of the method. With these results, it was concluded that the NiO nanoflower-SPME method is crucial for the analysis of zinc in real samples due to the fact that the complex matrix environment complicates the analysis. © 2025 Elsevier Inc