Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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  • Book Part
    Citation - Scopus: 1
    Çatalhöyük as an Open Site? On the Openness of Virtual Reconstructions of Archaeological Sites to a Multiplicity of Interpretations
    (Oxford University Press, 2020) Aktüre, Zeynep
    In this chapter, a framework for assessing the openness of virtual archaeological reconstructions to a multiplicity of readings is presented by focusing on the case of Çatalhöyük, in Turkey. Since its discovery in the 1950s, there has been a diversity of opinion on Çatalhöyük’s settlement rank along the path from settled village to urban agglomeration. This diversity of opinion has been expressed both verbally and visually, the latter including numerous computer-based visualizations for a variety of purposes and target audiences. Among the internationally approved principles for computer-based visualizations of cultural heritage is the need for intellectual and scientific transparency. Umberto Eco’s theory of the “open work,” as applied in literary and visual works including motion pictures, offers a theoretical framework for discussing the transparency of Çatalhöyük visualizations, as does Siegfried Kracauer’s idea of “cinematic materiality.” Three of the virtual works on Çatalhöyük are briefly presented in this chapter, as a basis for discussing the applicability of Eco’s and Kracauer’s ideas in this type of production as a measure for “open multivocality,” leading to an assessment of whether visualizations reveal any or all alternative interpretations of the site. © 2025 Elsevier B.V., All rights reserved.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 3
    Evaluation of the Effects of Carbamazepine-Loaded Chitosan-Coated Plga-Zein Nanoparticles on Pilocarpine-Induced Seizure Model in Zebrafish Larvae: Developmental Toxicity and Behavioral Assays
    (Oxford University Press, 2025) Alak, G.; Yıldırım, S.; Ugur Kaplan, A.B.; Köktürk, M.; Nazli, D.; Gözegir, B.; Cetin, M.
    Epilepsy, the most common neurological disorder worldwide, is characterized by sudden paroxysmal brain activity, which can be generalized or focal. Extensive research has explored various treatment strategies for this condition. Our study used a pilocarpine (PL)-induced seizure model in zebrafish (Danio rerio) embryos and larvae to assess the effects of carbamazepine (CBZ)-loaded chitosan-coated PLGA-Zein nanoparticles (NPs) over 96 hr. We evaluated the developmental toxicity (mortality, malformation, and larval hatching), behavioral changes (sensorimotor reflexes), and histopathological and immunohistochemical alterations in brain tissue, focusing on 5-hydroxytryptamine receptor 4 (5HT4), and brain and muscle ARNT-like 1 (BMAL1) expressions. Our findings revealed high mortality and malformation rates in groups treated with pure CBZ (PL + CBZ 50 and PL + CBZ 100). These groups also exhibited delayed hatching and impaired sensorimotor reflexes. In contrast, the CBZ-NP-treated groups (PL + CBZ NP 50 and PL + CBZ NP 100) showed hatching rates comparable with the control group, with significantly lower mortality and malformation rates compared with pure CBZ-treated groups. Moreover, intense cytoplasmic expression of 5HT4 and BMAL1 was observed in neuropils of the PL + CBZ 100 group. This study highlights the potential of CBZ-loaded NPs in reducing developmental toxicity and adverse neurological effects associated with pure CBZ treatment in seizure models. © The Author(s) 2025. Published by Oxford University Press on behalf of the Society of Environmental Toxicology and Chemistry. All rights reserved.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 4
    Measuring the Performance of an Artificial Intelligence-Based Robot That Classifies Blood Tubes and Performs Quality Control in Terms of Preanalytical Errors: a Preliminary Study
    (Oxford University Press, 2024) Şişman,A.R.; Başok,B.I.; Karakoyun,I.; Çolak,A.; Bilge,U.; Demirci,F.; Başoglu,N.
    Objectives: Artificial intelligence-based robotic systems are increasingly used in medical laboratories. This study aimed to test the performance of KANKA (Labenko), a stand-alone, artificial intelligence-based robot that performs sorting and preanalytical quality control of blood tubes. Methods: KANKA is designed to perform preanalytical quality control with respect to error control and preanalytical sorting of blood tubes. To detect sorting errors and preanalytical inappropriateness within the routine work of the laboratory, a total of 1000 blood tubes were presented to the KANKA robot in 7 scenarios. These scenarios encompassed various days and runs, with 5 repetitions each, resulting in a total of 5000 instances of sorting and detection of preanalytical errors. As the gold standard, 2 experts working in the same laboratory identified and recorded the correct sorting and preanalytical errors. The success rate of KANKA was calculated for both the accurate tubes and those tubes with inappropriate identification. Results: KANKA achieved an overall accuracy rate of 99.98% and 100% in detecting tubes with preanalytical errors. It was found that KANKA can perform the control and sorting of 311 blood tubes per hour in terms of preanalytical errors. Conclusions: KANKA categorizes and records problem-free tubes according to laboratory subunits while identifying and classifying tubes with preanalytical inappropriateness into the correct error sections. As a blood acceptance and tube sorting system, KANKA has the potential to save labor and enhance the quality of the preanalytical process. © 2024 The Author(s).