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  Parametric Exploration of Natural Lighting and Visual Comfort in Contemporary Additions to Historic Buildings

  (Solarlits, 2025) Şenalp, Mihrimah; Köymen, Erdem; Yaşa, Enes; Başar, Mehmet Emin; Köymen, Erdem

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  The re-functioning of historical buildings frequently necessitates new additions. This is particularly relevant for historical buildings with open courtyards, where interventions often involve the installation of upper covers using contemporary materials and techniques This issue can become especially apparent in historical buildings that are completely enclosed with transparent materials, raising concerns about the greenhouse effect and its potential to compromise indoor comfort. In this context, the objective of this study is to develop a methodology and model to assessing and optimizing roof covering designs. The model consists of two phases. The first phase involves conducting a visual harmony analysis within the developed algorithm, using parametric model pattern alternatives created in Rhinoceros3D/Grasshopper3D. The second phase focuses on optimizing visual comfort parameters, including sDA, UDIuseful, UDIupper and DGP. The optimal pattern is determined by evaluating a variety property of transparent surfaces such as solar heat gain, light transmittance, and area using the Ladybug, Honeybee plugins. The options constitute via Colibri plugin. The case study chosen for this investigation is one of Mimar Sinan’s building in Istanbul. This choice is motivated by the increasing intervention of enclosed to open courtyards in madrasah buildings from this era. The construction system is proposed to use steel, with ETFE for the transparent surfaces. Consequently, the outcomes demonstrate the model is feasible for interventions.

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  Corrigendum to “Measurement of the First Townsend Coefficients in Dry Air” (Radiation Physics and Chemistry, (2024), 222, C, (111876), (S0969806X24003682), 10.1016/j.radphyschem.2024.11187))

  (Elsevier Ltd., 2026) Yalçın, Tamer; Kam, Erol; Alaçayır, Osman; Bıyık, Recep; Yalçın, Tamer

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  The authors regret < The project code A4.H4.P2 in “Acknowledgement” section should have been updated to “A2.H1.P6” >. The authors would like to apologise for any inconvenience caused.

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  Helping Blind Individuals: Pakistani Currency Recognition System for Blind People Using the YOLOv8 Model

  (Politechnica University of Bucharest, 2025) Mushtaq, Aqsa; Khan, Hamza Wazir; Salman, Muhammad; Abid, Fazeel; Rasheed, Jawad; Alsubai, Shtwai; Rasheed, Jawad;

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  Blind or visually impaired individuals face significant challenges in recognizing currency notes, especially in regions where cash transactions remain common. To address this issue, we propose a real-time currency detection system tailored for Pakistani currency notes. The system is powered by the YOLOv8 object detection model, which achieved 99.1% accuracy with an average inference time of 12 milliseconds per image, ensuring both precision and speed. Once the denomination is identified, it is communicated to the user via text-to-speech for audible feedback. The application is structured with a Streamlit-based front-end for user interaction and a Flask-based back-end API, deployed via NGROK to ensure secure, accessible cloud usage. This architecture allows real-time operation across devices without local installations. In addition to implementation, we conducted a comparative evaluation of YOLOv8 against VGG19 (val-accuracy 83%), highlighting YOLOv8's superior performance in terms of accuracy and inference speed across varied lighting and orientation conditions. The results reinforce YOLOv8's suitability for assistive technologies and provide a benchmark for future improvements in AI-powered accessibility tools.

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  EvaRAG: Evaluating Advanced RAG Techniques With Indexing and Distance Metrics

  (Institute of Electrical and Electronics Engineers Inc., 2025) Elkıran, Harun; Rasheed, Jawad; Rasheed, Jawad

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  Retrieval Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing large language models (LLMs) with external knowledge. Yet, the performance of RAG pipelines is susceptible to design choices across retrieval, similarity metrics, indexing, and reranking. Despite growing adoption, little systematic work has explored the trade-offs between retrieval quality, semantic accuracy, computational efficiency, and cost in RAG systems. This study addresses this gap by conducting a comprehensive evaluation of RAG configurations across multiple dimensions. We propose a benchmarking framework that systematically varies retrievers (Fusion, HyDe, Hierarchical, SCaNN), indexing methods (HNSW, IVF, Flat), similarity metrics (Cosine, Inner Product, L2), and rerankers (BGE, minilm) over datasets of three scales (small, medium, and large). Performance is assessed through coverage, recall, MRR, and nDCG, while semantic quality is measured using correctness, faithfulness, and relevance. Efficiency is quantified via latency, throughput, and computational cost. Our experiments reveal that HNSW–IP–Fusion– minilm achieves the strongest semantic performance, with Coverage Retrieval of 0.942, Correctness of 0.909, and Faithfulness of 0.970, making it ideal for accuracy-critical tasks. Conversely, IVF–L2–Hierarchical demonstrates the lowest latency (1.736 ns) and cost, making it suitable for real-time deployments. Reranker analysis shows modest but consistent gains for minilm over BGE, while HyDe excels in precision at the expense of efficiency. Notably, no single configuration dominates; optimal designs depend on the application’s needs, whether it is maximizing semantic accuracy, minimizing latency, or striking a balance between the two. By demonstrating concrete trade-offs, this work provides a practical foundation for scaling RAG pipelines across diverse domains, including information retrieval, enterprise search, and knowledgeintensive reasoning.

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  Adverse Childhood Experiences and Fear of Happiness: Serial Mediation by Belongingness and Dating Anxiety

  (Current Psychology, 2026) Uygun, Ezgi Güney; Saraç, Hümeyra; Satıcı, Seydi Ahmet; Uygun, Ezgi Güney

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  Adverse childhood experiences (ACEs) constitute the foundation of many problems in an individual’s life. Among theseare a diminished sense of belonging and heightened anxiety, particularly in the context of romantic relationships. Indi-viduals who suffer from anxiety in romantic relationships frequently worry about being rejected or feeling inadequate.Under this emotional strain, people could doubt chances to capture happiness. In this study, the serial mediation effectsof belongingness and dating anxiety were examined in the ACEs - fear of happiness link. The sample consists of 346participants (M = 22.82, SD = 3.37). The mediating role was assessed using the bootstrap method through structural equa-tion modeling (SEM) to verify the presence of mediation. SEM indicated that belongingness and dating anxiety weresignificant mediators in the association between ACEs and fear of happiness. According to the results, ACEs may increasefear of happiness, which may arise as a consequence of low belongingness and high dating anxiety. As a result, happinessmay be hindered by ACEs as well as by poor connection with other people and the degree of anxiety they experienceabout establishing and maintaining romantic relationships. Based on these findings, it is recommended to develop earlyintervention programs and support services for individuals with ACEs. These programs can focus on enhancing feelingsof belongingness and reducing dating anxiety, thereby mitigating fear of happiness.

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