Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Ranking Circularity Levels in Industrial Parks: A Holistic Approach Incorporating Environmental, Economic and Social Indicators(Springer, 2025) Berk, I.; Ediger, V.Ş.; Öztürk, E.B.; Uctug, F.G.; Kucuker, M.A.; Inan, A.; Aktuna, G.B.This study introduces a circularity ranking system at the meso-level, specifically targeting industrial parks, through the development of the Circular Economy Sustainability Index (CESI). The index comprises five economic-environmental indicators: energy intensity, emission intensity, water intensity, waste intensity, and recycling ratio, as well as a social indicator as a sixth dimension. We utilize CESI to evaluate the circular economy performance of 22 manufacturing firms in the Adana Hacı Sabancı Organized Industrial Zone (AOSB). AOSB, one of the most prominent industrial parks in Türkiye, serves as an excellent case study to assess companies’ circularity performance and identify areas for improvement in the country’s green industrial transformation endeavor. Our findings reveal that waste and recycling indicators are pivotal in determining circularity, contributing 34.6% to the overall score, while the social indicator adds another 16.3%. These results underscore the significance of effective waste management and social responsibility in enhancing circularity. © 2025 Elsevier B.V., All rights reserved.Article Citation - WoS: 2Semantic Communications in 6G: Coexistence, Multiple Access, and Satellite Networks(IEEE-Inst Electrical Electronics Engineers Inc, 2025) Ahmed, Ishtiaque; Sun, Yingzhuo; Fu, Jingwen; Kose, Alper; Musavian, Leila; Xiao, Ming; Ozbek, BernaThe exponential growth of wireless users and bandwidth constraints necessitates innovative communication paradigms for next-generation networks. Semantic Communication (SemCom) emerges as a promising solution by transmitting extracted meaning rather than raw bits, enhancing spectral efficiency and enabling intelligent resource allocation. This paper explores the integration of SemCom with conventional Bit-based Communication (BitCom) in heterogeneous networks, highlighting key challenges and opportunities. We analyze multiple access techniques, including Non-Orthogonal Multiple Access (NOMA), to support coexisting SemCom and BitCom users. Furthermore, we examine multi-modal SemCom frameworks for handling diverse data types and discuss their applications in satellite networks, where semantic techniques mitigate bandwidth limitations and harsh channel conditions. Finally, we identify future directions for deploying semantic-aware systems in 6G and beyond.Article Advances in Optical Biosensors: Technologies and Trends in Point of Care Applications(Academic Press Inc., 2025) Sözmen, A.B.; Bayraktar, A.E.; Ülker, Ö.; Arslan-Yildiz, A.A sensor detects changes in its environment and converts them into readable data using three key components: a receptor to sense changes, a transducer to generate a signal, and a detection system to output the signal. Optical sensors are devices that use a receptor and optical transducer to produce signals corresponding to an analyte, and optical biosensors combine a biological sensing element with an optical transducer to detect and quantify specific analytes. They offer easy-to-read, real-time signals, such as color changes or light emission, sometimes even detectable by the naked eye, reducing the need for external devices and providing versatile Point-of-Care (PoC) applicability. Their portability and rapid response time enable remote testing and monitoring, further improving accessibility. They allow sensitive and selective detection of various analytes, making them utile in areas like glucose monitoring, drug testing, and pathogen detection. Many of these sensors provide label-free and non-invasive detection, further enhancing patient comfort and safety. This chapter provides an overview of optical biosensors; it starts with categorizing them by biorecognition elements, transducers, and detection modes. It investigates biosensors that utilize nanomaterials, polymers, and engineered biorecognition elements are discussed, with examples from literature. Technologies such as miniaturization, multiplexing, and wearable designs, which enhance PoC feasibility, are also examined. Lastly, challenges in development and operation are addressed, and future research directions for advancing optical biosensors in PoC diagnostics are discussed. © 2025Article Citation - WoS: 1Citation - Scopus: 1New Buildings in Historic Settings: Revisiting Renzo Piano's Design Approach(Routledge Journals, Taylor & Francis Ltd, 2025) Demir, Hatice Aysegul; Yuceer, HulyaContemporary design in historic settings is a controversial issue where it impacts on an existing historic context. Conservation charters and scholarly literature on architectural designs within the historic environment provide preliminary insights and guidance that necessitate further elaboration and development. The aim of this study is to generate a more detailed and clearer insight into design strategies that inform the design of new buildings in historic locations through the work of the architect Renzo Piano. From the Centre Pompidou to his most recently built & Idot;stanbul Modern, he has seven new designs in the cities of Paris, Valetta, Athens, Beirut, and & Idot;stanbul. These buildings, six of which are in the settings of UNESCO World Heritage Sites, the seventh within the historic site of Beirut, are described individually to trace the architect's design approach. Seven categories have been identified, from the use of an existing square to the scale, form, view creation, transparency preferences, opening designs, and colour choices revealing strategies have been found compatible with their historic settings. By listing them, seven core principles are proposed as policy guidelines.Article Citation - WoS: 1Citation - Scopus: 2Co-Designing of Public Space for Urban Design Students Using Citizen-Generated Data(Taylor & Francis Ltd, 2025) Ozden, Pelin; Muller, Johannes; Velibeyoglu, KorayThis study describes the co-design process, which includes the citizens' spatial experiences, needs, and wishes, through participatory digital design tools in urban design. The paper draws on a case study for co-design practices for leftover public space; Re-shaping K & uuml;& ccedil;& uuml;k Park urban void in Bornova, Izmir, Turkey. The methodology used in this study is a further improvement of 'Citizen Design Science' and its tool Qua-Kit (a map-based e-participation tool), which originated from Future Cities Laboratory (FCL) in ETH Zurich. The toolkit allows users to move geometries in given urban spaces and enables non-expert participants to express their ideas for the urban area through design. Departing from conventional urban design approaches, the shaping of the urban realm became a democratic process in which all stakeholders participated as co-designers. The study utilises objective and subjective design data, offering a novel perspective on urban design education and the profession. The educational experiment showed that participants could contribute their experiences and opinions through active design tools and the development process in co-designing public spaces.Article Citation - WoS: 6Citation - Scopus: 6Evaluating the Impact of Nature-Based Solutions on the Provision of Water-Related and Water-Dependant Ecosystem Services(Elsevier Inc., 2024) Marijuan, Raquel; Diez, Barbara; Pelaez-Sanchez, Sara; Iglesias, Jesus; Sirin, Basar; Baba, Alper; Sanchez, RaulWater scarcity is a pressing issue in the Mediterranean region, exacerbated by overuse of resources for agriculture and the impacts of climate change. Addressing this challenge requires improved water cycle management and the adoption of Nature-based Solutions (NbS) to enhance infrastructure efficiency and sustainability. With the aim of promoting the implementation and assessment of NbS, we have developed a monitoring framework that integrates the assessment of ecological, socio-economic and cultural aspects under the umbrella of the IUCN Global Standard for NbS. A list of Key Performance Indicators (KPIs) was selected following standard methodologies. We have applied the framework to five case studies in the Mediterranean region to evaluate its efficiency to assess NbS tailored to local challenges and contexts. As part of the monitoring framework, we used the IUCN self-assessment tool for the Global Standard for NbS, demonstrating adherence of 50-75 % across all case studies. Common KPIs were identified, streamlining monitoring efforts and providing guidance from the design phase onwards. Our monitoring framework offers a comprehensive approach to evaluating NbS interventions, ensuring alignment with global standards and enhancing resilience in water management. By integrating the IUCN Global Standard, it provides robust guidance for future execution, contributing to sustainable water resource management in the Mediterranean and beyond.Article Citation - Scopus: 3Resurgent Dome and Super-Hot Enhanced Geothermal System: the Sahinkalesi Massif Within the Hasandag Stratovolcanic Province, Central Anatolia, Turkey(Elsevier B.V., 2024) Chandrasekharam,D.; Singh,M.; Baba,A.; Sass,I.The Sahinkalesi, a volcanic dome located NNE of Hasandağ, Türkiye exhibits anomalous heat flow value, geothermal gradient and the Curie point depth is located at very shallow depth in this region. Our investigation indicates presence of super-critical thermal regime (378°C) at about 4 km depth and the MT analysis indicate shallow magma chamber at about 5 km depth. The crust is relatively thin below this region with the low-velocity region located at depth of about 36 km. Thermo-Hydro-mechanical model investigation has been carried out using finite element discretization technique. For faulted zone reservoir models, 30 years of geothermal energy exploitation does not cause thermal breakthrough for mass flow rates up to 500 kg/s, however, the mean stress developed in the reservoir becomes much larger and may be unsustainable for the reservoir stability. To ensure the success of a fractured reservoir model, the use of multiple wellbores is recommended. In the case of a closed-loop geothermal system, the primary concern is the control of thermoelastic stress. This can be achieved either by increasing the wellbore depth while reducing the injection mass flow rate, or by extending the wellbore's horizontal component. The outlet temperature in both the cases maintained at 275°C. This is the first time a superhot EGS site has been identified in Türkiye. © 2024 The Author(s)Conference Object Citation - Scopus: 2Influence of Non-Uniform Noise Levels on Modal Identification Procedures(Elsevier Ltd, 2021) Hızal,Ç.; Ceylan,H.Considerable deficiencies and errors in measurement systems are frequently encountered in vibration based structural health monitoring (SHM) applications. Some SHM algorithms are capable of considering such kinds of problems as prediction errors and/or sensor channel noise. As a general intention, however, either a uniform channel noise distribution is assumed or the corresponding measurement channel which produces significant noise in the measured data is generally omitted by researchers. From this perspective, this paper presents a comparative study to investigate the performance of two different SHM algorithms in case of non-uniform sensor channel noise spectral densities. In this context, first the considered problem is illustrated based on the disruptions in the spectral coherence between the noisy and noise free data. Then, a numerical example is presented in which the modal identification of a three degree-of-freedom (DoF) system is performed by using Bayesian Fast Fourier Transform Approach (BFFTA) and Covariance-based Stochastic Subspace Identification (SSI–COV). Results show that both techniques can be adversely affected by the non-uniform levels of channel noise. However, SSI–COV performs better in this case. © 2021Review Citation - Scopus: 121Natural and Synthetic Nanovectors for Cancer Therapy(Ivyspring International Publisher, 2023) Eftekhari, Aziz; Kryschi, Carola; Pamies, David; Ahmadian, Elham; Janas, Dawid; Davaran, Soodabeh; Khalilov, Rovshan; Güleç, ŞükrüNanomaterials have been extensively studied in cancer therapy as vectors that may improve drug delivery. Such vectors not only bring numerous advantages such as stability, biocompatibility, and cellular uptake but have also been shown to overcome some cancer-related resistances. Nanocarrier can deliver the drug more precisely to the specific organ while improving its pharmacokinetics, thereby avoiding secondary adverse effects on the not target tissue. Between these nanovectors, diverse material types can be discerned, such as liposomes, dendrimers, carbon nanostructures, nanoparticles, nanowires, etc., each of which offers different opportunities for cancer therapy. In this review, a broad spectrum of nanovectors is analyzed for application in multimodal cancer therapy and diagnostics in terms of mode of action and pharmacokinetics. Advantages and inconveniences of promising nanovectors, including gold nanostructures, SPIONs, semiconducting quantum dots, various nanostructures, phospholipid-based liposomes, dendrimers, polymeric micelles, extracellular and exome vesicles are summarized. The article is concluded with a future outlook on this promising field. © The author(s).Conference Object Citation - WoS: 7Citation - Scopus: 6Semantic Pose Verification for Outdoor Visual Localization With Self-Supervised Contrastive Learning(IEEE, 2022) Guerrero, Jose J.; Orhan, Semih; Baştanlar, YalınAny city-scale visual localization system has to overcome long-term appearance changes, such as varying illumination conditions or seasonal changes between query and database images. Since semantic content is more robust to such changes, we exploit semantic information to improve visual localization. In our scenario, the database consists of gnomonic views generated from panoramic images (e.g. Google Street View) and query images are collected with a standard field-of-view camera at a different time. To improve localization, we check the semantic similarity between query and database images, which is not trivial since the position and viewpoint of the cameras do not exactly match. To learn similarity, we propose training a CNN in a self-supervised fashion with contrastive learning on a dataset of semantically segmented images. With experiments we showed that this semantic similarity estimation approach works better than measuring the similarity at pixel-level. Finally, we used the semantic similarity scores to verify the retrievals obtained by a state-of-the-art visual localization method and observed that contrastive learning-based pose verification increases top-1 recall value to 0.90 which corresponds to a 2% improvement.