Okan University

A multi-objective optimization framework is developed for designing a hybrid renewable energy system (HRES) for Hormuz Island, integrating photovoltaic, wind, lithium-ion battery, proton-exchange-membrane electrolyzer-tank-fuel-cell, and a standby diesel generator. Real meteorological and demand data are employed to minimize the Levelized Cost of Energy (LCOE) and Net Present Cost (NPC) while maximizing the Renewable Energy Fraction (REF) and system resilience. The optimization integrates multiple conflicting techno-economic and environmental objectives through a TOPSIS-guided multi-criteria framework, where a scalar closeness coefficient is used as the fitness function within the search process, without explicit Pareto-front construction. Results indicate that, compared with the diesel baseline, the optimized configuration achieves an LCOE of 0.139 USD kWh −1 , a 38.6 % reduction in NPC, a REF of 87 %, and nearly 89 % GHG mitigation. The discount rate exhibits the highest sensitivity, inducing ± 14.8 % variability in NPC and ± 9.2 % in LCOE, followed by battery CAPEX (±9.5 % NPC) and PV CAPEX (±7.1 %). Resilience evaluation under 10 % PV and 20 % hydrogen-storage perturbations confine the Loss-of-Load Probability to ≤ 2 %, confirming robust operation under adverse climatic fluctuations. Life-cycle assessment demonstrates approximately 20 % reduction in CO 2 -equivalent emissions, while techno-economic analysis indicates about 15 % reduction in total energy cost relative to conventional diesel supply. The proposed configuration provides a replicable blueprint for off-grid, climate-vulnerable islands seeking reliable and low-carbon electrification pathways.

This paper presents a non-isolated high step-up DC-DC converter based on a modified three-winding coupled inductor, which is proposed for renewable energy applications. The proposed converter, which embeds a modified voltage multiplier cell utilizing a secondary winding of a coupled inductor, achieves an ultra-high voltage gain without requiring extreme duty cycles. and not only minimizes the overall component count but also significantly reduces voltage stress across semiconductors and capacitors, thereby lowering system cost. Moreover, the employed cell based on the coupled inductor offers simplicity and flexibility, making it suitable for integration into other converter topologies as well. The architecture further ensures a continuous, low-ripple input current and maintains a common-ground connection between source and load, making it highly compatible with photovoltaic and fuel-cell integration. Comprehensive analysis of the operating principles, steady-state performance, and device stresses is provided, together with theoretical efficiency estimation and comparative evaluation against recent state-of-the-art designs. Experimental validation is conducted using a 250W prototype converting 24V to 400V, achieving a peak efficiency of 95.3%, which substantiates the analytical predictions and highlights the practical effectiveness of the proposed topology for next-generation renewable energy systems.

Choosing sites for solar photovoltaic (PV) power plants in developing countries like India is a crucial task while considering multiple conflicting factors and sub-factors simultaneously. Multi-criteria decision-making (MCDM) is an optimisation method that provides a framework for handling such situations in an intuitionistic fuzzy environment. The complexity and uncertainty associated with the site selection model are dealt with professionally. The Criteria Importance Through Intercriteria Correlation (CRITIC) method is applied to determine the relative importance of the criteria, identifying airflow speed as the most influential factor, followed by humidity ratio, level of dust haze, availability of labour and resources, and ecological effects. This shows that airflow speed plays an important role in the power plant’s efficiency and performance. The Vlse Kriterijumska Optimizacija I Kompromisno Rešenje (VIKOR) method is then used to prioritise the alternatives as potential locations for setting up a solar PV power plant in India. A new de-i-fuzzification method based on the relative difference between two real numbers is also proposed. Sensitivity analyses and comparative studies are conducted to assess the robustness and effectiveness of the framework. Overall, the results demonstrate that the proposed framework is useful and effective for optimising site selection for solar power plants in India.

Ovarian cancer is frequently diagnosed at an advanced stage due to non-specific symptoms, contributing to high mortality. The limited diagnostic performance of current serum assays in early disease underscores the need for complementary circulating biomarkers. Circulating microRNAs and inflammation-related markers are promising candidates. Although miRNAs are implicated in cancer diagnostics, the role of miRNA-29a in ovarian cancer remains underexplored. Given that sST2 is elevated in several malignancies and is a direct target of miRNA-29a, concurrent evaluation may be informative. This pilot study compared serum miRNA-29a and sST2 levels in 23 ovarian cancer patients and 22 healthy female controls. miRNA-29a expression was quantified by real-time PCR (2−ΔΔCt), and sST2 was measured by ELISA; diagnostic performance was assessed using ROC analysis. miRNA-29a levels were significantly reduced (p < 0.05), whereas sST2 concentrations were significantly increased (p < 0.001) in patients versus controls. ROC analysis showed modest discrimination for miRNA-29a (AUC 0.678) and higher performance for sST2 (AUC 0.825). No significant correlation was observed between the two markers. These findings suggest that circulating miRNA-29a and sST2 may have biomarker potential in ovarian cancer; larger, well-designed studies are required to confirm clinical utility.

This study uses a bibliometric review of international research and 27 in‐depth interviews to investigate digital disparities among migrant groups in Türkiye. We aim to understand how gender, as well as emotional, linguistic, and structural factors influence digital inclusion. The interviews demonstrate how these problems manifest across Türkiye’s varied migrant communities, while the bibliometric analysis identifies global themes such as digital literacy, access, trust, and language barriers. The primary obstacles, which are frequently exacerbated by gender and legal status, are monolingual e‐government platforms, low digital trust, and reliance on family for online access. The results show that social and emotional aspects of digital inclusion are involved, requiring institutions to be sensitive, build trust, and ensure linguistic accessibility. The study integrates infrastructure with lived experience‐based policies, proposing culturally sensitive, linguistically inclusive, and emotionally sensitive strategies. For other areas with sizable migrant populations, this strategy offers a scalable model.