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
CFD-based analysis of chimney performance optimization for the Manzanares pilot plant
(Oxford University Press, 2026) Cüce, Pınar Mert; Cüce, Erdem; Alshahrani, Saad
This research conducts an extensive computational fluid dynamics (CFD) analysis aimed at optimizing the geometric configuration of solar chimney power plants (SCPPs), with particular emphasis on the Manzanares pilot plant. The research analyses the effects of chimney diameter and divergent chimney design on system performance under steady-state conditions at 1000 W/m2 solar irradiance and 300 K ambient temperature. A validated three-dimensional CFD model with a 90° symmetry sector is developed in ANSYS FLUENT. The model is verified through mesh independence and benchmarked against experimental results, showing excellent agreement with measured power output and airflow velocity. The results demonstrate that chimney geometry is a dominant performance-governing factor in large-scale SCPPs. Increasing the chimney diameter up to 2.5 times the reference value enhances the power output by 97%, reaching ~110 kW; further enlargement leads to performance deterioration due to reduced pressure potential at the turbine. More importantly, the adoption of a divergent chimney configuration yields a substantial performance improvement. An optimal chimney exit-to-inlet area ratio of 4 increases the power output to 369.4 kW, corresponding to a 5.6-fold enhancement compared to the reference cylindrical chimney. At this optimal configuration, the maximum air velocity and mass flow rate reach 28.7 m/s and 2137.8 kg/s, respectively. These findings demonstrate that multifold power enhancement can be achieved through aerodynamic optimization of chimney geometry alone, without increasing chimney height, offering a practical, cost-effective, and structurally safer design pathway for future large-scale SCPP installations.
Exploring the nexus between agriculture orientation index, government subsidies, and exchange rates: new evidence from Türkiye
(Centenary University, 2026) Keskin, Ömer; Gün, Musa
Access to agricultural credit is a key factor of rural development, productivity growth, and food security; however, there is no clear consensus on how it should be allocated. Using annual data from 1999 to 2023, this study investigates the long-run and causal relationship between the Agriculture Orientation Index for Credit (AOIC), government agricultural support, and exchange rates in Türkiye. To capture long-run dynamics and to accommodate structural breaks and nonlinearities, we employ the Fourier Augmented Dickey-Fuller (ADF), Fourier Autoregressive Distributive Lag (FADL), and Fourier Toda-Yamamoto (TY) causality tests. The results indicate the existence of a significant cointegration relationship between the variables, with 1% increase in government agricultural support and exchange rate leading to a decline in AOIC by 3.13% and 2.62%, respectively. Causality tests verify unidirectional linkages from government support and exchange rates to agriculture credit orientation. These findings suggest that subsidies can replace rather than complement formal agricultural credit, while exchange rate fluctuations further constrain banks’ willingness to direct funds into the sector. By identifying AOIC as a new indicator and applying sophisticated econometric tools, this study provides new empirical evidence for a middle-income economy, offering important implications for the construction of subsidy systems and macroeconomic stabilization policies.
From vegetable market chains in Ethiopia From prompt engineering to context engineering: a comparative analysis of AI interaction paradigms for large language models
(Institute of Electrical and Electronics Engineers Inc., 2026) Çınar, Ömer Emin; Güldemir, Numan Halit
The rapid evolution of Large Language Models (LLMs) has increased the need for better ways to support human AI interaction. Prompt engineering is the most common method for guiding model behavior through carefully written instructions. It works well for many tasks, but it often falls short in complex and production level applications. This paper presents a comparative analysis of prompt engineering and context engineering. Context engineering moves beyond tuning a single prompt and focuses on designing the whole system around the model. We use illustrative examples and a structured comparison to explain the differences and the trade offs. The results show that prompt engineering fits simple one shot queries that need little state and few extra resources. Context engineering supports scalable and dependable agents that can use documents, memory, tools, and prior interactions. Our analysis shows that the best choice depends on application complexity, reliability needs, and scalability goals. We also synthesize design guidelines from prior literature and from Anthropic's context engineering framework. This work adds to research on AI system design and discusses implications for AI literacy, software engineering practice, and human AI collaboration.
Populism in Fortress Europe: social work and the human rights of migrants and asylum seekers
(Policy Press, 2026) Boryczko, Marcin; Madew, Melinda; Selçuk, Ozan
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Revolutionizing sports gear with advanced nanocomposites reinforced frames: Enhancing performance and stability
(Techno-Press, 2026) Ma, Xiaofei; Chen, Liquan; Yaylacı, Murat
Researchers achieved a new method which improves the mechanical strength of sports equipment through their research on nanoengineered composite materials together with modern metamaterial technology. The study examines sports equipment frame performance during structural tests which evaluate their endurance to impacts and their dynamic performance through arc-type auxetic metamaterial tests which researchers used with nanocomposite materials. The proposed design uses auxetic structures which have negative Poisson’s ratio properties to achieve superior energy absorption results which create better stiffness distribution and enhanced structural stability during mechanical loading. The team established a complete theoretical framework together with a numerical system to investigate how reinforced frames respond under nonlinear dynamic conditions which occur during low-velocity impact tests. The advanced Hertzian contact system enables the model to create accurate simulations of contact points together with destruction processes which occur during impact situations. The research team applied parametric analysis methods to study architectural design elements which they combined with material properties and nanocomposite reinforcement characteristics to evaluate their effects on stress distribution patterns and vibration response behavior and impact reduction capabilities. The auxetic metamaterial designs show better load transfer capabilities and lower stress concentration levels when compared to traditional composite design methods. The nanoengineered reinforcement provides two advantages because it enhances damping capacity while improving structural strength which results in better impact protection and improved overall system performance. The research shows how researchers combine nanotechnology and metamaterial engineering to develop sports equipment designs which enhance both durability and safety and operational performance. The research results establish important information for designing high-performance sports equipment while creating a basis to develop multifunctional nanocomposite materials which have specific mechanical characteristics for future engineering needs.
