Recep Tayyip Erdoğan Üniversitesi Kurumsal Akademik Arşivi
DSpace@RTEÜ, Recep Tayyip Erdoğan Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Innovative integration of corrugated absorbers, PCM, and reflectors for enhanced water yield in solar distillation: A comprehensive 4E analysis
(Elsevier, 2026) Attia, Mohammed El Hadi; Abdel-Aziz, Moataz M.; Kabeel, Abd Elnaby; Cüce, Erdem
Freshwater scarcity remains a major challenge in arid and remote regions, where conventional desalination is either expensive or energy-intensive. Solar distillation is a sustainable alternative, though its productivity is often limited by insufficient heat absorption and thermal losses. In this study, a hemispherical solar still was enhanced by integrating three key modifications: a corrugated absorber to increase heat transfer surface area, phase change material (PCM) to store and release heat during off-sunshine hours, and external reflectors to redirect additional sunlight toward the basin. Three still configurations were experimentally evaluated under identical climatic conditions in El Oued, Algeria: a reference hemispherical still, a still with a corrugated absorber, and a still with the combined corrugated absorber, PCM, and external reflectors. The daily freshwater yield increased from 4.50 L/m2 for the reference still to 6.70 L/m2 (48.9% improvement) with the corrugated absorber, and to 8.60 L/m2 (91.1% improvement) when PCM and reflectors were also included. Energy efficiency improved from 39.14% to 58.16% and 74.51% for the same systems, while exergy efficiency increased from 0.07% to 0.22% and 0.31%, respectively. The cost of freshwater decreased to $0.006 per litre for the fully enhanced design, with the shortest payback period of 23 days. These results demonstrate that combining absorber surface enhancement, thermal energy storage, and solar concentration significantly improves productivity, efficiency, and economic viability of hemispherical solar distillers. The novelty of this work lies in the combined integration of surface-area enhancement, thermal storage, and solar radiation concentration in a hemispherical still, experimentally demonstrated under identical conditions and assessed through a comprehensive 4E evaluation.
Driving circular economy transitions through technological innovation in the top five waste-generating economies
(Springer Nature, 2026) Pata, Uğur Korkut; Karlıer Pata, Selin
The rapid increase in global consumption has led to substantial growth in waste generation, posing a significant challenge to achieving the Sustainable Development Goals (SDGs), particularly SDGs 11 and 12, which emphasize waste reduction. Technological progress in waste management and the ability to adapt these innovations to environmental needs play a crucial role in mitigating waste‑related pressures. This study investigates how economic growth, urbanization, environmental policy stringency (EPS), and innovations in waste management, recycling and reuse, and wastewater treatment affect the load capacity factor (LCF) in the top five waste-generating economies (U.S., Japan, Germany, France, and Türkiye) from 2005 to 2020. Using the Augmented Mean Group (AMG) and Half‑Panel Jackknife (HPJ) estimation approaches, the analysis reveals that economic growth and urbanization reduce LCF, indicating increased environmental degradation. In contrast, patents related to waste management, recycling, and wastewater treatment technologies improve LCF, supporting progress toward SDGs 11 and 12. EPS, however, shows no significant effect, highlighting inconsistencies in policy enforcement across these economies. Overall, the findings underscore the need for stronger regulatory frameworks that tighten environmental policies and incentivize technological innovation to advance circular economy transitions.
Perceptions of the term ‘cancer survivor’ among women with breast cancer: An interpretative phenomenological analysis
(Churchill Livingstone, 2026) Nargiz Koşucu, Sibel; Koçan, Sema; Altın Çetin, Arife; Gürsoy, Ayla
Purpose The study aimed to explore the perceptions, feelings, thoughts, and meanings attributed to the term “survivor” by women with breast cancer. Method This qualitative study employed Interpretative Phenomenological Analysis (IPA). Semi-structured interviews were conducted with 23 women with breast cancer who had completed active cancer treatment (surgery, chemotherapy, and/or radiotherapy). Data were transcribed verbatim and analyzed inductively using the IPA approach. Results Three main themes were identified: “the meaning of survivor for me,” “I feel uncomfortable being defined this way,” and “I am more than a survivor.” Most participants reported that the term “survivor” evoked memories of difficult times and ongoing uncertainty regarding the future. Some participants, however, perceived the term positively, associating it with struggle and success. Overall, the term was unfamiliar to participants and was experienced as a labeling expression that overshadowed their sense of self-identity. The women preferred to be referred to by their names or a more positive and respectful term instead of a predefined label. Conclusion The term “cancer survivor” was perceived as negative and uncomfortable by most women in this study. Findings highlight the importance of culturally sensitive language in oncology care. Nurses and other healthcare professionals should consider individualized preferences and avoid imposing labels that may cause emotional discomfort or identity distress.
Measurement of virtual reality experiences through electroencephalography
(Institute of Electrical and Electronics Engineers Inc., 2025) Çınar, Ömer Emin
The evolution of virtual reality (VR) technology over recent decades has created a demand for reliable measurement tools to analyze user experience. Electroencephalography (EEG) has emerged as a viable neurophysiological instrument for measuring cognitive and physiological responses in virtual environments. This study consolidates existing literature on EEG-based measurement methodologies for VR experiences, including cognitive load evaluation, attention monitoring, visual fatigue identification, and user engagement measurement. The analysis indicates that EEG may proficiently detect neural correlates of VR immersion, with distinct frequency bands (alpha, beta, theta, gamma) exhibiting consistent patterns throughout research studies. Principal findings reveal that theta and gamma bands are more pertinent to emotion processing in VR, whereas alpha power exhibits consistent connections with attention and relaxation states. Current challenges include motion artifacts, individual variability, and standardization issues. Future directions point toward the integration of EEG-Brain-Computer Interface (BCI) for adaptive VR systems and real-time experience optimization. This review provides evidence-based recommendations for advancing objective VR experience measurement through neurotechnological approaches.
Graphlet types and application domains: a review
(Institute of Electrical and Electronics Engineers Inc., 2025) Çalmaz, Büşra
Graphlets-small, connected, non-isomorphic induced subgraphs-are powerful tools for capturing local structural patterns in complex networks. Graphlets help to detect anomalies or communities, compare complex networks, and make better recommendations. While much of the literature has focused on improving the efficiency of graphlet enumeration, limited attention has been paid to understanding how different types of graphlets (e.g., triangles, 4-cycles, cliques, stars) are applied across diverse domains. This paper introduces a conceptual framework that categorizes graphlet utility according to structural, functional, and frequency-based dimensions and also summarizes graphlet measures such as Graphlet Degree Vector, Graphlet Degree Distribution, and Graphlet Frequency Distribution, and analyzes how these tools support domain-specific tasks. The study offers a structured overview of graphlet usage across fields, including bioinformatics, social network analysis, and anomaly detection, highlighting their practical relevance and encouraging further context-aware research.
