WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article Components of Design Thinking in Spatial Design Education and a Model Proposal(Konya Technical Univ, Fac Architecture & Design, 2025) Coruk, Ipek YildirimDesign thinking, defined in its simplest form as a creative problem-solving process, is interpreted in various ways in the literature, with differing models and components. This study, motivated by the need to identify gaps in existing approaches and to clarify the concept of design thinking, aims to define its key components within the context of spatial design education. To achieve this objective, the study employed qualitative research methods. To collect data, the study utilized both a literature review and content analysis techniques. By categorizing the collected data, it was concluded that design thinking consists of three fundamental components: cognitive-rational, emotional-intuitive, and practical. These components were elaborated upon with subcategories based on literature data, and a comprehensive model proposal for use in space design education was developed. The proposal put forward in this study is significant in clarifying the concept of design thinking and its constituent components. On the other hand, the potential of the proposed model to offer guiding alternatives for the problem-solving process in design studios at various levels and to make design thinking more explicit can be attributed to the pedagogical contributions of this study. From a practical perspective, the study is considered to have the potential to directly inform practice by proposing concrete and applicable steps that can be implemented within the design process. For future research based on this study, it is recommended that the potential contributions of the proposed model be explored through its application in actual design processes. Furthermore, expandingthe theoretical scope by questioning different approaches to the components of design thinking is also suggested.Article The Role of High-Fidelity Simulators in Vascular Surgery Training: A Systematic Review(Springer Nature, 2026) Abdelkader, Rem Ehab; Amgad, Ahmed; Alshurman, Saba Hussein; Almanaseer, Ghadeer M.; Manoj, Rachel Mary; Iqbal, Uzair; Ibrahim, Ismail A.BackgroundIn vascular surgery, endovascular procedures demonstrated lower morbidity and shorter hospital stays. However, learning these skills is highly challenging. A new method that offers secure, controlled settings for skill development is simulation-based training.AimThis systematic review aims to examine the different high-fidelity simulation programs and their effectiveness in enhancing endovascular skills among vascular surgery trainees.MethodsA comprehensive literature search was conducted across PubMed, SCOPUS, Cochrane CENTRAL, and Web of Science using PRISMA guidelines. We included all studies of all designs involving high-fidelity simulation in vascular surgery training. The eligibility criteria focused on studies assessing simulation interventions comparing pre- and post-course outcomes. Data extraction was done manually using Excel spreadsheets by two independent reviewers, and quality assessment was performed using a 19-point scale. The studies were also evaluated using Kirkpatrick's adapted hierarchy based on their educational impact.ResultsA total of 35 studies met the inclusion criteria, covering a range of simulation modalities, including virtual reality, augmented reality, and physical simulators. The findings demonstrated significant improvements in procedural skills, operation time, operative errors, and participant's confidence across all training levels. However, there were great variations in study methods and design, as well as a lack of a specific framework for skill assessment.ConclusionFor endovascular training, high-fidelity simulation is a useful tool for skill development. However, Standardized training techniques and additional research are needed to assess long-term skill retention.Article Social Media and Financial Decisions: The Influence of Socio-Demographics and Financial Literacy(John Wiley and Sons Inc, 2026) Altinbas, H.This study investigates the predictors of individuals' reliance on social media for financial decision-making within the context of Türkiye's high-inflation environment and the associated surge in retail investor participation. Data were collected via an online survey utilizing the OECD's financial literacy toolkit. The results indicate that gender, family structure, high-risk asset preferences, and financial literacy predict social media usage for financial information. Specifically, males, individuals who invest in stocks or cryptocurrencies, and those with higher financial literacy demonstrate a greater propensity to access financial information on social media; conversely, households with children exhibit lower reliance on social media information. © 2026 American Association of Family and Consumer Sciences.Article The Current Face of Mosaic Art: Flacking Istanbul Examples(Bursa Uludag University, 2025) Ural, A.G.French artist Ememem is an anonymous artist who started producing his artworks in the city of Lyon in 2016. The unknown street artist brought a contemporary perspective to the art of mosaic by decorating or patching the sidewalks with mosaic art. The term ‘flacking’, which he developed to express the combination of various fields such as upcycling, street art, mosaic art, is becoming increasingly common and attracting the attention of local municipalities. The aim of this study is to discuss the art of flacking, which is a face of mosaic art, which is a very old branch of art, derived from current terms. In terms of scope, examples from Istanbul will be tried to be found and compared with foreign examples. French artist Ememem is an anonymous artist who started producing his artworks in the city of Lyon in 2016. The unknown street artist brought a contemporary perspective to the art of mosaic by decorating or patching the sidewalks with mosaic art. The term ‘flacking’, which he developed to express the combination of various fields such as upcycling, street art, mosaic art, is becoming increasingly common and attracting the attention of local municipalities. The aim of this study is to discuss the art of flacking, which is a face of mosaic art, which is a very old branch of art, derived from current terms. Examples from around the world show how mosaic art can be transformed into impressive and meaningful projects in public spaces. However, it has been seen that modern mosaic trials are still insufficient in our country. It has been determined that for the development of mosaic art, various courses, workshops, contemporary examples to be applied in public spaces and initiatives should be made in order not to lose this valuable art. © (2025), All Rights Reserved.Article Machine Learning Model for Predicting Multidrug Resistance in Clinical Escherichia Coli Isolates: A Retrospective General Surgery Study(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Tolan, H.K.; Aydın, İ.; Tanyildizi-Kökkülünk, H.; Karakuş, M.; Akkaya, Y.; Kaya, O.; Işman, F.K.Background/Objectives: Escherichia coli is one of the leading causes of surgical site infections (SSIs) and poses a growing public health concern due to its increasing antimicrobial resistance. High rates of extended-spectrum beta-lactamase (ESBL) production among E. coli strains complicate treatment outcomes and emphasize the need for effective surveillance and control strategies. Methods: A total of 691 E. coli isolates from general surgery clinics (2020–2025) were identified using MALDI-TOF MS. Antibiotic susceptibility data and patient variables were cleaned, encoded, and used to predict resistance using the Random Forest, CatBoost, and Naive Bayes algorithms. SMOTE addressed class imbalance, and model performance was assessed through various validation methods. Results: Among the three machine learning models tested, Random Forest (RF) showed the best performance in predicting antibiotic resistance of E. coli, achieving median accuracy, precision, recall, and F1-scores of 0.90 and AUC values up to 0.99 for key antibiotics. CatBoost performed similarly but was less stable with imbalanced data, while Naive Bayes showed lower accuracy. Feature importance analysis highlighted strong inter-antibiotic resistance links, especially among β-lactams, and some influence of demographic factors. Conclusions: This study highlights the potential of simple, high-performing models using structured clinical data to predict antimicrobial resistance, especially in resource-limited clinical settings. By incorporating machine learning into antimicrobial resistance (AMR) surveillance systems, our goal is to support the advancement of rapid diagnostics and targeted antimicrobial stewardship approaches, which are essential in addressing the growing challenge of multidrug resistance. © 2025 by the authors.Conference Object Sts: AI-Driven Smart Test Scenario Generation Tool(IEEE, 2025) Baglum, Cem; Yayan, UgurOne of the most critical steps in the software testing lifecycle, test scenario generation, reduces process efficiency due to its high time and resource requirements. As an innovative solution to this issue, the Smart Test Scenario Tool (STS) has been developed. Smart Test Scenario Tool (STS) enhances contextual accuracy and automation in test scenario generation by analyzing documents in xlsx, py, cpp, txt, and docx formats using large language models. This approach minimizes time loss, and the risk of errors encountered in traditional manual testing processes while transforming test procedures into a context-driven and systematic framework, offering an innovative contribution to the literature. Strengthened with a Streamlit interface, MongoDB-supported database management, and Ollama integration, the system enables the test scenario generation process, a critical component of the software testing cycle, to be conducted more efficiently and reliably. The validity of the study was confirmed through two distinct projects, the first implemented in Python and the second in C++.Article From Global Evidence to Local Action Plan: A Novel Building Decarbonization Maturity Scale and Roadmap for nZEB Office Buildings in Developing Contexts − Case of Türkiye(Elsevier Ltd, 2025) Karanfil, B.Y.; Kayaçetin, N.C.; Tereci, A.; Bıyıklı, N.; Kılınç Gilisıralıoğlu, M.; Karaer, D.; Gilisiralioglu, Merve KilincTo effectively combat climate change, various policies and strategies are being developed to reduce emissions by 2050. The construction sector assumes a pivotal role in achieving decarbonization targets. It is imperative to acknowledge the potential of practices in developing countries, which can provide the critical part of carbon reduction on a global scale. In this context, Nearly Zero Energy Buildings (nZEB) are attracting global attention as a key component of sustainable construction and urban regeneration. Despite high level of energy efficiency and potential to utilize renewable energy, nZEBs have not found widespread application in developing countries. This study benefits from a systematic review of the whole-life decarbonization process of nZEB office buildings. The study evaluated policy frameworks, implementation, and potential emission reduction strategies through energy efficiency measures, material selection, and the integration of renewable energy. In response, the study proposes a structured, context-sensitive decarbonization maturity scale and roadmap to guide policy and practice in developing countries and utilized Türkiye as a case study example. The findings reveal that Türkiye’s current nZEB definition positions it at Level 2 (Emerging) on the decarbonization maturity scale. The country’s high carbon intensity signals the urgency of prioritizing demand reduction and efficiency. Despite enhancements, nZEB offices in Türkiye exhibit high carbon emissions, with operational emissions ranging from 7.5 to 35 kgCO<inf>2</inf>-eq/m2/year and embodied carbon from 182 to 201 kgCO<inf>2</inf>-eq/m2. As a result, the maturity scale identifies leverage points offering a mechanism to benchmark progress and accelerate climate action in line with international examples approaching Level 5. © 2025 Elsevier B.V., All rights reserved.Conference Object A Unique Web 3 Product-NFT Usage in Healthcare(IEEE, 2025) Unozkan, HuseyinNon-fungible tokens (NFTs) have gained immense popularity and value in recent years. After the Web 3 revolution, many new products have been constructed based on smart contracts or powerful software agreements. One of the most exciting products of Web 3 is NFT, with their increasing popularity, high volatility, and significant price movements making them popular in trading activities. Although many people, investors and researchers perceive NFTs as a trading product, the smart contract and metadata, both of which make up of NFT structure, offer valuable support for the big data storage and processing fields. In recent years, researchers have proposed different uses of NFTs in healthcare systems to improve the quality of services by using NFTs' versatile data storage architecture. In this study, the capability of NFTs in the storage of health data is investigated, the usage and usage proposals of NFTs in health are examined, and probable usage areas in health sciences are evaluated. The uniqueness of this study is, using NFTs as the dead parental data storage in which the metadata does not need to be mitigated, but the stored data is very valuable for doctors to assess the genetic illnesses comes from parental DNAs.Book Part Turk and Russian Relations From Distant Neighbourship To Close Neighbourship(Istanbul Univ Press, Istanbul Univ Rectorate, 2021) Karaca, Ragip Kutay; Baban, Ece; Yuce, MugeThe current diplomacy between Turks and Russians, who fought thirteen times between 1677-1918, and who had come on the brink of war many times besides these wars, is one of the most spoken subjects of today. When the history of the relationship between two countries is examined, it is observed that similarities to today's relationship between parties occurred occasionally. These convergences especially in the period after the Cold War, had increased in the period when diplomatic breakups between Turkey and the USA had come up. Historically, Turkey, in its national security calculations, had always followed-up a policy that is taking Russia to the center, and that is balancing the level of threat directed by Russia by the Western allies. Today, the convergence with Russia is being actualized as the result of a reverse functioning of a similar strategic calculation.Book Part Evaluation of Labor Market Issues in Sport and Exercise Environment in Turkey(Taylor and Francis, 2021) Ersöz, G.