Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Article Deprem Anında ve Sonrasında Dönüşebilen Tasarım Önerileri: Günlük Kullanımdan Hayat Kurtaran Birimlere(Afet ve Acil Durum Yonetimi Baskanligi (AFAD), 2025-12-30) Özmen, Nihan Muş; Kurtuluş, Vacide BetülDepremler, yıkılan binalar ve devrilen eşyalar nedeniyle meydana gelen yaralanmalarla insan hayatını ciddi şekilde tehdit etmektedir. Bu çalışma, mobilyalara kendini kurtarma alanları entegre ederek ezilme yaralanmalarını önlemeyi ve deprem sonrası barınma ihtiyaçlarını karşılamayı amaçlayan tasarım önerileri sunmaktır. 2022 Güz döneminde Abdullah Gül Üniversitesi Deneysel Tasarım Stüdyosu kapsamında yürütülen çalışma, tanınmış bir mobilya tasarım firmasıyla iş birliği içinde gerçekleştirilmiştir. Öğrenciler hem günlük yaşamda işlevsel hem de afet anlarında acil barınma alanı olarak kullanılabilecek çift amaçlı mobilya tasarımları geliştirmiştir. Projeler, deprem sırasında ve sonrasında kullanılmak üzere iki ana kategoriye ayrılmış; yaşam ve çalışma mekânlarında, dönüşebilir mobilya tasarımlarına odaklanmıştır. Bulgular, işlevsel ve uyarlanabilir tasarımlar yoluyla risk azaltma ve deprem sonrası uyum konularında yenilikçi yaklaşımları ortaya koymaktadır.Book Part A Systematic Review of Optimization Studies Used in Renewable Energy Systems(Springer Science and Business Media Deutschland GmbH, 2026) Söylemez, İ.; Erdoğan, A.This study presents a literature review of recent studies on renewable energy systems. Due to the large number of studies, this study has been limited to some keywords. When only the word “renewable energy systems” is searched, there are more than 14,343 studies in the literature between 2017 and 2024. A systematic search was conducted for the studies in which “optimization” or “mathematical model” was mentioned as a solution methodology. A total of 755 studies were identified in the “Scopus database” and analyzed for these studies. A detailed examination was carried out for the type of studies (research article, review, conference paper, etc.), countries where the studies were carried out, authors who carried out the studies and their statistics with each other, and so on. With this study, an overview of the literature will be provided and it will be a guiding study for researchers on the direction of the studies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.Article GenShare: A Blockchain-Based Genomic Data Sharing Platform(Association for Computing Machinery, 2026-01-27) Dedeturk, B.A.; Soran, A.; Bakir-Güngör, B.Every day, hundreds of gigabytes of data are produced due to the exponential growth of next-generation sequencing and omics technologies. By combining omics data with other data types, such as electronic health record data, panomics research is actively attempting to uncover novel and potentially useful biomarkers. For the effective analysis of high-throughput-derived omics data, it is imperative to establish robust and reliable platforms that prioritize ethical considerations while effectively managing privacy, ownership concerns, and the responsible sharing of data. The GenShare model was proposed to provide an efficient platform that fits these needs. GenShare is a hybrid platform that utilizes blockchain technology. Paillier’s homomorphic encryption scheme in tandem with Intel Software Guard Extension (SGX) serves to enable the sharing of genomic data, execution of count queries, and statistical analysis of genomic data while preserving privacy and avoiding compromise of sensitive information. The objective of this paradigm is to confront security and privacy concerns through the integration of homomorphic encryption and SGX, addressing additional challenges associated with Hyperledger Fabric and Ethereum. In pursuit of this objective, the implementation of the system involved establishing the Hyperledger Fabric network, with various workloads employed to assess the network’s efficiency. Consequently, it was hypothesized that the new GenShare model would enhance the data collection and dissemination cycle and serve as a proficient platform catering to the needs of its users. © 2026 Copyright held by the owner/author(s).Article Fine-Tuning Large Language Models for Turkish Flutter Code Generation(Sakarya University, 2025) Uluirmak, B.A.; Kurban, R.The rapid advancement of large language models (LLMs) for code generation has largely centered on English programming queries. This paper focuses on a low-resource language scenario, specifically Turkish, in the context of Flutter mobile app development. Two representative LLMs (a 4B-parameter multilingual model and a 3B code-specialized model) on a new Turkish question-and-answer dataset for Flutter/Dart are fine-tuned in this study. Fine-tuning with parameter-efficient techniques yields dramatic improvements in code generation quality: Bilingual Evaluation Understudy (BLEU), Recall-Oriented Understudy for Gisting Evaluation (ROUGE-L), Metric for Evaluation of Translation with Explicit Ordering (METEOR), Bidirectional Encoder Representations from Transformers Score (BERTScore), and CodeBLEU scores show significant increases. The rate of correct solutions increased from ~30–70% (for base models) to 80–90% after fine-tuning. The performance trade-offs between models are analyzed, revealing that the multilingual model slightly outperforms the code-focused model in accuracy after fine-tuning. However, the code-focused model demonstrates faster inference speeds. These results demonstrate that even with very limited non-English training data, customizing LLMs can bridge the gap in code generation, enabling high-quality assistance for Turkish developers comparable to that for English. The dataset was released on GitHub to facilitate further research in multilingual code generation. © 2025, Sakarya University. All rights reserved.Article Achieving Wealth Preservation Via Islamic Crowdfunding: An Analysis from Maqasidic View(Program Studi Ilmu Agama Islam Program Magister, Universitas Islam Indonesia, 2025-08-31) Al-Daihani, M.; Sarif, S.; Dirie, K.A.; Djafri, F.; Muneem, A.Crowdfunding, a modern scheme of raising funds via online platforms, has garnered significant attention recently. This study explores crowdfunding through the lens of Islamic jurisprudence, explicitly examining its compatibility with Maqasid al-Shariah (the high objectives of Islamic law). This study uses a qualitative research approach to explore the harmonious alignment of crowdfunding practices with Islamic principles. The findings illuminate that, despite its modern guise, crowdfunding is profoundly rooted in Islamic traditions, bolstered by diverse interpretations of the Quran and foundational Islamic beliefs. Remarkably, the study affirms that crowdfunding resonates with the essence of Maqasid al-Shariah, especially in its remarkable potential to preserve and enhance wealth (Māl). This study offers a Maqasid al-Shariah analysis of Islamic crowdfunding and shows how specific crowdfunding structures can act as practical instruments for preserving and redistributing wealth (Māl) in contemporary Muslim economies. By mapping crowdfunding structures to maqasid goals, the paper provides policymakers and Islamic institutions practical criteria for designing platforms and rules that expand access to capital, protect wealth, and keep transactions Shariah-compliant. The study contributes to the literature on Islamic finance and fintech by linking doctrinal analysis to policy and product design at the interface of faith and financial technology. © 2025 Meshari Al-Daihani, Suhaili Sarif, Khadar Ahmed Dirie, Fares Djafri, & Abdul Muneem.Book Part Nanomaterials Incorporated Intelligent Food Packing for the Detection and Prevention of Microbial Contamination and Spoilage(CRC Press, 2025-10-23) Dadi, S.; Temu, N.; Ozdemir, E.; Nisari, M.; Azizoglu, U.; Öçsoy, I.Food packaging plays a critical role in the quality and safety of food and the health of consumers. Environmental factors such as food storage conditions (temperature and light) and microbial contamination are highly effective in food spoilage. Environmental factors on traditional food packaging can negatively affect the shelf life of food products, which poses significant risks to human health. To track the quality and safety of food, the development of intelligent food packaging technologies has received great attention from researchers. The advances in food packaging technology emphasize the importance of developing real-time-traceable, long shelf life, microbial contamination–inhibiting, and biocompatible packaging solutions. In recent years, various nanomaterials (NMs) in the development of intelligent food packaging have been used. NM-based food packaging exhibits many properties, such as antimicrobial and antioxidant effects, electrical conductivity, thermal stability, and catalytic activity. In this chapter, we present a broad overview of NM-based intelligent packaging systems for sensing and preventing microbial contamination and food spoilage. © 2026 selection and editorial matter, Priya Sutaoney, Priyambada Singh, Durgesh Nandini Chauhan, Nagendra Singh Chauhan, and Kamal Shah; individual chapters, the contributors.Article Citation - Scopus: 1Kayseri İlindeki Bazı Tarihi Eserlerde Bozunma Etkilerinin Tahribatsız Deney Yöntemleriyle Değerlendirilmesi(TMMOB Chamber of Geological Engineers, 2025-06-11) Akin, Mutluhan; Akin, Muge; Akgül, Muhammed Kamilİç Anadolu’da önemli bir yerleşim merkezi olan Kayseri, farklı dönemlerden günümüze kadar gelen birçok tarihi esere ev sahipliği yapmaktadır. İlin farklı bölgelerinde özellikle yoğun yerleşimin bulunduğu alanlarda, Selçuklu Dönemi’ne ait 12. ve 14. yüzyıllar arası yapılmış çok sayıda cami, kümbet ve medrese türü tarihi esere rastlamak mümkündür. Kültürel miras niteliğindeki bu eserler çoğunlukla yakın çevrede yoğun olarak bulunan farklı renk ve dokudaki ignimbirit türü kaya malzemesi kullanılarak inşa edilmişlerdir. Genel olarak düşük dayanıma sahip ve su etkilerine karşı hassas olan bu ignimbiritler zaman içerisinde atmosferik etkenler, hava kirliği, vandalizm vb. gibi olaylar sonucunda bozunmakta ve ilksel özelliklerini kaybetmektedirler. Bu çalışmada Kayseri il merkezindeki Roma ve Selçuklu dönemlerine ait tarihi eserler ile bu eserlerde zaman içinde meydana gelen bozunma etkileri incelenmiştir. Bozunma etkilerinin gözlemsel olarak incelenmesinin yanı sıra, eserlere herhangi bir zararı bulunmayan tahribatsız deney yöntemlerinden İğne Penetrometresi, Schmidt Çekici ve P-dalga hızı deneylerinden faydalanılmıştır. Bunun yanı sıra, bozunmuş ignimbirit bloklarına ait yerinde deneylerle belirlenen değerler, aynı malzemeye ait taze örneklerin fiziko-mekanik özellikleri ile karşılaştırılmıştır. Yapılan değerlendirmeler sonucunda tarihi eserlerin taban bölümlerinde özellikle kılcallık sebebiyle pullanma ve kavlaklanma türü bozunmaların geliştiği ve ignimbiritlerin bu bölümlerde dayanımlarını önemli ölçüde kaybettiği tespit edilmiştir. İncelenen kümbetlerin bazılarına uygulanan iyileştirme çalışmalarında ise kümbetlerin çevresinde bulunan yüzey suyu drenajlarının yeterli ölçüde yapılamadığı ve yağmur ile biriken suların tarihi eserlerin daha fazla bozunmasına sebep olduğu saptanmıştır. Kültürel miras olarak değerlendirilen bu tarihi yapıların korunup gelecek nesillere aktarılması amacıyla, ignimbirit yapılarının yüzeysularına karşı duyarlılığı dikkate alınarak tarihi kümbetlerin çevresinde su drenajı iyileştirme çalışmaları yapılması önerilmektedir.Conference Object Citation - Scopus: 2miRcorrNetPro: Unraveling Algorithmic Insights Through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis(Institute of Electrical and Electronics Engineers Inc., 2023-12-05) Ünlü Yazici, Miray; Yousef, Malik; Marron, J. S.; Bakir-Güngör, Burcu; Yazici, Miray UnluHigh throughput -omics technologies facilitate the investigation of regulatory mechanisms of complex diseases. Along this line, scientists develop promising tools and methods to extend our understanding at the molecular and functional levels. To this end, miRcorrNet tool performs integrative analysis of MicroRNA (miRNA) and gene expression profiles via machine learning (ML) approach to identify significant miRNA groups and their associated target genes. In this study, we propose miRcorrNetPro tool, which extends miRcorrNet by tracking group scoring, ranking and other information through the cross-validation iterations. Heatmap visualizations enable deep novel insights into the collective behavior of clusters of groups in cellular signaling and hence facilitate detection of potential biomarkers for the disease under investigation. Although miRcorrNetPro is designed as a generic tool, here we present our findings and potential miRNA biomarkers for Breast Cancer (BRCA). The miRcorrNetPro tool and all other supplementary files are available at https://github.com/Miray-Unlu/miRcorrNetPro. © 2024 Elsevier B.V., All rights reserved.Article Citation - Scopus: 2Zeolite Synthesis by Alkali Fusion Method Using Two Different Fly Ashes Derived From Turkish Thermal Power Plants(Chamber of Mining Engineers of Turkey, 2020-03-01) Top, S.; Vapur, HüseyinIn this study, Faujasite (Na-LSX) (3.5(Ca0.3)3.5(Na0.6)3.5(Mg0.1)Al7Si17O48 32(H2O)) type zeolites and Ca-Filipsite (CaK0.6Na0.4Si5.2Al2.8O16 6(H2O)) type zeolites were produced from Sugözü Thermal Power Plant and Çatalaǧzi Thermal Power Plant fly ashes by alkali fusion method followed by water leaching, respectively. In these methods, fly ashes and sodium hydroxide (NaOH) were mixed in certain proportions and sintered at 600°C in ash furnace. Then, zeolites were obtained from the ground materials after water leaching and solid/liquid separation, respectively. Cation Exchange Capacity (CEC), X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Fourier-Transform Infrared Spectroscopy (FTIR), X-Ray Fluorescence (XRF) and Atomic Absorption Spectrometer (AAS) analyses were used to characterize the synthesized zeolites. The zeolites synthesized with Sugözü fly ashes in a ratio of 1:2 had 136.93 meq/100 g CEC, whereas the CEC of synthesized zeolite from Çatalaǧzi fly ashes was found to be 247.88 meq/100 g. As a result, zeolites, which can be used as wastewater treatment agent, energy storage material, catalyst and separator, were synthesized by using 2 different Class F fly ash. © 2023 Elsevier B.V., All rights reserved.Conference Object Citation - Scopus: 1Words Speak Louder Than Actions: Decoding Emotions Through NLP(Institute of Electrical and Electronics Engineers Inc., 2024-10-26) Paksoy, Melda; Bakal, GokhanEmotion detection in text remains a significant challenge in Natural Language Processing due to human emotions' complexity and subtle nuances. This paper presents multiple experimental models for emotion classification using an up-to-date dataset curated to address 13 emotions implied in Twitter posts. We evaluated various machine learning (ML) models, including Logistic Regression, Random Forest, SVM, and XGBoost, alongside deep learning (DL) architectures such as LSTM and CNN. Our results demonstrate the efficacy of deep learning models, particularly the CNN model by achieving an impressive F1 score of 0.99. This study contributes to emotion detection capabilities, paving the way for more nuanced and accurate sentiment analysis (SA) in various text analysis applications. © 2025 Elsevier B.V., All rights reserved.