Welcome to IKU Academic Digital Archive System


OpenAccess@IKU is Istanbul Kultur University's Academic Digital Archive System, established in June 2014 to digitally store and provide open access to academic and artistic outputs in line with international standards and intellectual property rights. The system includes various outputs such as articles, presentations, theses, books, book chapters, reports, encyclopedias, and works of art produced by the university's faculty members and students.

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Recent Submissions

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Publication
Revisiting the Naturalistic Form Contemporary Adaptations by Zinnie Harris and Alexandra Wood
(Bloomsbury Publishing Plc., 2025) ERDURUCAN, BÜŞRA
Person
BUSE, ÖZDEN
Arş. Gör.
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PublicationOpen Access
Evaluation of Enzyme Activity Predictions for Variants of Unknown Significance in Arylsulfatase a
(Springer Science and Business Media Deutschland GmbH, 2025) BUSE, ÖZDEN
Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfatase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning tools in Python, demonstrated superior performance among submissions. Furthermore, the study observed that state-of-the-art deep learning methods provided small but statistically significant improvement in predictive performance compared to less elaborate techniques. These findings underscore the utility of variant effect prediction, and the potential for models trained with modest resources to accurately classify VUS in genetic and clinical research.
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PublicationOpen Access
Log-Harmonic Mappings Associated With the Sine Function
(Hacettepe University, 2025) Kumar, Sushil; ÇETİNKAYA, ASENA; Esra Özkan Uçar H.
In this paper, we define new subclasses STlh (s) and CSTlh (s) of sine starlike log-harmonic mappings and sine close-to-starlike log-harmonic mappings, respectively, defined in the open unit disc D. We investigate representation theorem and integral representation theorem for functions in the class STlh (s). Further, we determine radius of starlikeness for functions in the classes STlh (s) and CSTlh (s).
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Publication
Symmetry Groups and Kinetic Potential of Tash Khauli Palace Patterns
(Elsevier Ltd., 2025) YAZICI, YASEMİN ERKAN; Bayer, Semih; Neşe Çakici Alp
This study explores the profound relationship between Islamic geometric patterns, symmetry groups, and kinetic systems, using patterns from Tash Khauli Palace in Uzbekistan, situated in the UNESCO-designated Itchan Kala. The investigation employs a parametric model with Rhinoceros® and Grasshopper software to analyze the kinetic potential within the symmetry group structures of these patterns. The research involves decomposing geometric shapes, identifying symmetry groups, and scrutinizing parameterized kinetic movements. Seventeen two-dimensional repetitive patterns—classified under what are commonly referred to as “wallpaper groups” in mathematical symmetry theory—are categorized, revealing a notable association between the P6M symmetry group —a classification featuring six-fold rotational and mirror symmetry—and heightened kinetic potential. This leads to the research question: 'Which symmetry groups possess the capacity for transformation into kinetic motion?' The findings emphasize the specific relevance of these patterns for design applications and contribute insights into the historical and architectural significance of Tash Khauli Palace. The study also demonstrates how kinetic exploration can enrich design possibilities in geometric patterns.