WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Book Part Mediated Narratives of Syrian Refugees: Mapping Victim-Threat Correlations in Turkish Newspapers(Routledge, 2025) Cox, Ayca TuncTurkey has become the first and main transition hub for Syrian refugees. Furthermore, Turkey is spatially as well as culturally simultaneously referred to as European and Asian or Middle Eastern depending the point of view. Therefore, the representation of refugees in the Turkish press proves significant for the knowledge produced about refugees. Accordingly, this chapter strives to investigate the coverage of Syrian refugees in newspapers, which constitutes only one aspect of the overall reception of the issue in Turkey, and therefore does not claim to be exhaustive. Yet, because daily newspapers are still among the most important media sectors in Turkey, they constitute a special case of knowledge production worth investigating.Article Encapsulation of IR783 in UiO-66 MOFs for Improved Photodynamic Efficacy Against Breast Cancer Cells(OICC Press, 2025) Sahinoglu, Sinem; Sanli-Mohamed, GulsahBreast cancer remains the most prevalent malignancy among women worldwide, underscoring the need for innovative therapeutic strategies beyond conventional modalities. Photodynamic therapy (PDT) offers a non-invasive approach that leverages light-activated photosensitizers to induce reactive oxygen species (ROS)-mediated tumor cell death. IR783, a near-infrared fluorescent (NIRF) heptamethine cyanine dye, has shown promise as a theranostic agent in cancer therapy due to its tumor-selective uptake and pro-apoptotic effects. However, its clinical potential is hindered by poor stability, rapid dissociation in polar environments, low quantum yield, and suboptimal tumor accumulation. In this study, we developed a multifunctional nanoplatform by encapsulating IR783 into UiO-66, a zirconium-based metal-organic framework (MOF), to enhance the delivery and photodynamic performance of the dye (IR783@UiO-66). The system was structurally characterized, and its biocompatibility and drug release profiles were evaluated. In vitro experiments were conducted to assess the cytotoxic and phototoxic effects of IR783, UiO-66, and IR783@UiO-66 on breast cancer cell lines (MCF-7, MDA-MB-231) and normal breast epithelial cells (MCF-10A), under LED irradiation at varying light intensities (18-144 J/cm2) and exposure durations (7.5-60 min). The results demonstrated that IR783@UiO-66 significantly reduced cancer cell viability in a dose-and light-dependent manner while sparing normal cells. Free IR783 showed slightly higher phototoxicity, attributed to differences in release kinetics and loading efficiency. UiO-66 alone exhibited negligible cytotoxicity under irradiation, confirming its safety profile. This study highlights the potential of UiO-66 as a promising nanocarrier for enhancing IR783-mediated PDT, offering a synergistic strategy for targeted and efficient breast cancer therapy.Article Ensemble Machine Learning Algorithms for Thermal Comfort Prediction in HVAC Systems of Smart Buildings(Golden Light Publishing, 2025) Erdem, Merve Kuru; Gokalp, Osman; Calis, GulbenPredicting the thermal comfort of building occupants is of paramount importance in the operation of smart buildings, providing a data-driven approach to control Heating, Ventilation, and Air Conditioning (HVAC) systems for managing occupant thermal comfort and energy use, which aligns with modern sustainability and efficiency goals. Recently, ensemble machine learning (ML)-based thermal comfort prediction models have been proposed to provide more accurate estimation of thermal comfort; however, these efforts often lack a systematic and comprehensive evaluation across a wide range of ML models within a single study. To address this gap, this study presents a systematic comparative analysis of four ensemble ML frameworks (bagging, boosting, stacking, and voting) with six basic ML algorithms (Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Decision Tree, Multilayer Perceptron, and Multinomial Na & iuml;ve Bayes) and six advanced ensemble ML algorithms (Random Forest, Rotation Forest, Extra Trees, Gradient Boosting Classifier, Histogram Gradient Boosting Classifier, and Extreme Gradient Boosting). The analysis is conducted using the widely recognized ASHRAE Global Thermal Comfort Database II, providing both 3-point and 7-point Thermal Sensation Vote (TSV) predictions. Accuracy, precision, recall and F1 metrics are used for evaluation and 10-fold cross validation is applied for further comparison. The results demonstrate the Histogram Gradient Boosting (HGB) algorithm achieved the highest F1 score (0.638) for 7-point TSV prediction whereas the Random Forest (RF) algorithm provided the highest F1 score (0.549) for 7-point TSV prediction. In practice, these findings suggest that integrating RF and HGB models into Building Management Systems or IoT-based HVAC platforms can support real-time adaptive control, helping practitioners to reduce energy use while maintaining occupant comfort.Article Optimizing Housing Floor Layout for Cool Terraces: A Comparative Analysis Using Constrained Problem Formulation(Yildiz Technical University, Faculty of Architecture, 2025) Durmusoglu, Betul; Ekici, BerkAs urban densification increases, thermal stress in cities becomes a problem. The integration of climate-sensitive strategies into housing design has become a necessity. As a strategy, design of terraces, as thermally configured outdoor spaces can reduce solar radiation gain. Parametric modeling, one of the computational approaches, provides significant contributions to optimizing the integration of environmental analysis into the terrace design. Although some related studies have focused on optimizing urban mass organizations for thermal comfort and solar performance, none of them have addressed spatial organization of terraces in residential buildings. This study presents a computational housing model to investigate terrace allocation with respect to solar gain, including circulation and residential units. The interstitial spaces are considered "cool terraces", and the objective is to minimize the solar radiation on terraces by optimizing the location and size of the residential units using a genetic algorithm via the Galapagos plug-in, radial basis function optimization (RBFOpt), and covariance matrix adaptation with evolution strategy (CMA-ES) using Opossum plug-in. To provide feasible spatial organization, constraints are determined using the near feasibility threshold with the Optimus plug-in. Results showed that only CMA-ES discovered feasible spatial organization while improving the solar performance of cool terraces. When compared to the benchmark design scenarios, the optimized alternative performed 11-26% improvement in solar radiation minimization. The study discusses the challenges in identifying well-performing cool terrace solutions, the complexity of the problem, and the applicability of optimization algorithms.Article Brewing Property in Onedimensional City? Exploring Starbucks' Locational Strategies-Impacts in the Case of Izmir, Türkiye(University Cueca, 2026) Coskun, Yagmur Asci; Penpencioglu, MehmetThe article examines Starbucks'locational strategies and their impact on urban spaces, drawing on Rossi's concept of the "one-dimensional city." As global brands increasingly shape urban environments, three key effects emerge: rising property prices near stores, the concentration of locations in malls, transit hubs, and walkable areas, and alignment with urban landscapes standardized by major transportation infrastructure decisions. Similar to many cities in the Global South, Starbucks in & Idot;zmir functions both as a product and a driver of property-driven, rent-seeking urban development.Empirical evidence reveals that its locational strategies enhance accessibility, increase property values, and reshape the built environment. Through spatial analysis, the article examines Starbucks locations within a walkability and accessibility framework, highlighting their concentration in high-value districts with strong public transit connections.This research underscores how global brands reinforce socio-economic divides, transform urban spaces, and promote consumption-driven urbanization through their integration into global capitalism and real estate dynamics.Article Relationships Between Light Exposure and Aspects of Cognitive Function in Everyday Life(Springer Nature, 2025) Didikoglu, Altug; Woelders, Tom; Bickerstaff, Lucien; Mohammadian, Navid; Johnson, Sheena; van Tongeren, Martie; Lucas, Robert J.Light exposure can modulate cognitive function, yet its effects outside of controlled laboratory settings remain insufficiently explored. To examine the relationship between real-world light exposure and cognitive performance, we assessed personal light exposure and measured subjective sleepiness, vigilance, working memory, and visual search performance over 7 days of daily life, in a convenience sample of UK adults (n = 58) without significant circadian challenge (shiftwork or jet-lag). A subset of participants (n = 41) attended an in-lab session comprising a battery of pupillometric and psychophysical tests aimed to quantify melanopsin-driven visual responses. We find significant associations between recent light exposure and subjective sleepiness. Recent light exposure was also associated with reaction times for both psychomotor vigilance and working memory tasks. In addition, higher daytime light exposure and an exposure pattern with reduced fragmentation were linked to improved cognitive performance across visual search, psychomotor vigilance, and working memory tasks. Higher daytime light exposure and earlier estimated bedtimes were associated with stronger relationships between recent light exposure and subjective sleepiness. These results provide real world support for the notion that intra- and inter-individual differences in light exposure meaningfully influence aspects of cognition, with beneficial effects of short-term bright light and of habitual light exposure patterns characterized by brighter daytimes, earlier rest phase, and greater intra- and inter-daily stability.Article Interaction of Hazelnut-Derived Polyphenols With Biodegradable Film Matrix: Structural, Barrier, and Functional Properties(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Hızır-Kadı, I.; Demircan, E.; Özçelik, B.The study presents a sustainable approach to valorizing hazelnut processing by-products, specifically skins and shells, through their conversion into bioactive polyphenol-rich extracts using pressurized hot water extraction (PHWE), an environmentally friendly green technology. PHWE yielded extracts with total phenolic contents of 25.4 mg GAE/g dw (shell) and 83.7 mg GAE/g dw (skin), which were incorporated into biodegradable poly(vinyl alcohol)/carboxymethyl cellulose (PVA/CMC) films at concentrations of 1–3% (w/v). The resulting composites were comprehensively characterized in terms of structural, mechanical, thermal, and barrier properties. FTIR, DSC, and XRD analyses demonstrated strong hydrogen bonding, increased thermal stability, and reduced crystallinity due to polyphenol–polymer interactions. Phenolic incorporation enhanced UV-blocking capability, increased antioxidant activity by up to five-fold, and reduced oxygen permeability from 0.048 to 0.015 (cm3·mm·m−2·day−1·atm−1) (69% reduction, p < 0.05), compared to neat PVA while maintaining desirable transparency (>70%). Optimal formulations (HSkE-II) exhibited a 39% increase in elongation at break and improved flexibility without compromising film integrity. Application tests using fresh-cut apples, watermelon, and chicken revealed significant reductions in microbial growth (up to ~1.2 log CFU/g), lipid oxidation, and weight loss during storage, confirming the films’ potential for active food packaging. This work highlights an efficient valorization strategy for nut industry by-products and demonstrates their functional integration into sustainable biodegradable packaging systems. © 2025 by the authors.Article A Study of the Environmental Challenges En Marche Towards Net-Zero: Case Study of Turkish Steel Industry(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Özdamar, A.B.; Kaya, M.; Bektas, A.; Bhattacharyya, S.; Şahindoğan, M.; Birat, Jean-Pierre; Dutta, A.The Turkish steel industry aims to reduce its sectoral carbon dioxide (CO<inf>2</inf>) emissions by 55% by 2030, in line with Türkiye’s Paris Agreement commitments and the European Green Deal (EGD), and consistent with the ambition of the European Union’s economy-wide ‘Fit for 55’ emissions-reduction target. Türkiye faces significant challenges in achieving net-zero greenhouse gas (GHG) emissions, particularly as a developing country confronting the impacts of climate change and in the market situation, such as the effects of the ongoing Russia-Ukraine conflict, limited access to affordable raw materials, and rising operational costs. This study serves as a guideline for the Turkish steel sector’s roadmap towards modernization and eventual compliance with net-zero targets. The consideration and integration of new technologies planned for the Turkish steel industry, in both electric arc furnace (EAF) and blast furnace-basic oxygen furnace (BF-BOF) facilities, have been outlined in conjunction with green hydrogen and with Carbon Capture and Storage (CCS) technologies. Four different scenarios were analysed to understand the reduction in CO<inf>2</inf> emissions: (1) In a Business-As-Usual (BAU) scenario without any reduction, (2) 39.9% CO<inf>2</inf> emission reduction with the Moderate scenario, (3) 59.6% reduction with the Advanced scenario, and (4) 82.9% reduction in CO<inf>2</inf> emissions from the Turkish steel sector with the Net-Zero scenario. To quantify the uncertainty in these long-term projections, a Monte Carlo simulation was conducted, generating probabilistic confidence intervals that reinforce the robustness and credibility of the net-zero pathway. The official roadmap for the sector is not available as of today; however, an in-depth discussion with a policy innovation leading to it is the objective of this study. © 2026 by the authors.Conference Object Citation - WoS: 10A Turkish Dataset for Gender Identification of Twitter Users(Assoc Computational Linguistics-ACL, 2019) Sezerer, Erhan; Polatbilek, Ozan; Tekir, SelmaAuthor profiling is the identification of an author's gender, age, and language from his/her texts. With the increasing trend of using Twitter as a means to express thought, profiling the gender of an author from his/her tweets has become a challenge. Although several datasets in different languages have been released on this problem, there is still a need for multilingualism. In this work, we propose a dataset of tweets of Turkish Twitter users which are labeled with their gender information. The dataset has 3368 users in the training set and 1924 users in the test set where each user has 100 tweets. The dataset is publicly available(1).Article Completeness Relation in Renormalized Quantum Systems(Frontiers Media SA, 2025) Erman, F.; Turgut, O.T.In this work, we show that the completeness relation for the eigenvectors, which is an essential assumption of quantum mechanics, remains true if the Hamiltonian, having a discrete spectrum, is modified by a delta potential (to be made precise by a renormalization scheme) supported at a point in two- and three-dimensional compact manifolds or Euclidean spaces. The formulation can be easily extended to an (Formula presented.) center case and the case where delta interaction is supported on curves in the plane or space. We finally give an interesting application for the sudden perturbation of the support of the delta potential. © © 2025 Erman and Turgut.