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Article Citation - WoS: 7Citation - Scopus: 11A 1-kW wireless power transfer system for electric vehicle charging with hexagonal flat spiral coil(Tubitak Scientific & Technical Research Council Turkey, 2021) Aydin, Emrullah; AydemIr, M. Timur; Electrical-Electronics Engineering; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has UniversityWireless power transfer (WPT) technology is getting more attention in these days as a clean, safe, and easy alternative to charging batteries in several power levels. Different coil types and system structures have been proposed in the literature. Hexagonal coils, which have a common usage for low power applications, have not been well studied for high and mid power applications such as in electric vehicle (EV) battery charging. In order to fill this knowledge gap, the self and mutual inductance equations of a hexagonal coil are obtained, and these equations have been used to design a 1 kW WPT system with hexagonal coils for a mid-power stage EV charging. The theoretical and simulation results have been validated with an implementation in the laboratory and a DC-to-DC power efficiency of 85% is achieved across a 10 cm air gap between the perfect aligned coils. The misalignment performance of the system was observed for different positioning of the secondary coil, and the output power variation is given. In addition, the effect of shielding on magnetic field exposition of a driver sitting in an EV was obtained, and these simulation results were compared in order to check the compliance with international health standards.Article Citation - WoS: 2Citation - Scopus: 13D self-assemble formation of molybdenum disulfide (MoS2)-doped polyacrylamide (PAAm) composite hydrogels(Tubitak Scientific & Technological Research Council Turkey, 2022) Durmaz, Sumeyye; Yildiz, Ekrem; Uysal, Bengu Ozugur; Pekcan, Onder; Molecular Biology and Genetics; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has UniversityPolyacrylamide (PAAm), a renowned member of the hydrogel class, has many uses throughout a wide range of industrial processes, including water absorbed diapers, contact lenses, wastewater treatment, biomedical applications such as drug delivery vehicles and tissue engineering because of its physical stability, durability, flexibility easier shaping, and so on. PAAm also provides new functionalities after the incorporation of inorganic structures such as molybdenum disulfide (MoS2). During the copolymerization process, the transmittance of all samples reduced significantly after a particular time, referred to as the gel point. Microgels form a tree above the gel point as projected by Flory-Stockmayer classical theory. Because of microgels positioned at the junction points of the Cayley tree, the addition of MoS2 results in strong intramolecular crosslinking and looser composites. Moreover, fractal geometry provides a quantitative measure of randomness and thus permits characterization of random systems such as polymers. Fractal dimension of these polymer composites is calculated from power-law-dependent scattered intensity. It was also confirmed that a hydrogel rapidly formed within a few seconds, indicating a 3D network formation inside the gel. These materials may have a great potential for application in wearable and implantable electronics due to this highly desired 3D self-assemble feature.Article Citation - Scopus: 2Accented Essays: Documentary as Artistic Practice in Contemporary Audiovisual Works From Turkey(Routledge, 2019) Akçalı,E.; Radio, Television and Cinema; 04. Faculty of Communication; 01. Kadir Has UniversityThis article looks at the use of documentary filmmaking in contemporary artistic practices in Turkey, specifically focusing on three works that adopt a first-person, subjective viewpoint: Didem Pekün’s Of Dice and Men (2016), Şener Özmen’s How to Tell of Peace to a Living Dove? (2015), and Aykan Safoğlu’s Off-White Tulips (2013). Made by artists in transition, these films tackle themes of belonging and identity through stylistic choices proper to essayistic filmmaking, which allow these works to be regarded as accented essays. The personal questions raised through the aesthetics they employ become relevant to collective issues of culture, history, and memory, offering an alternative understanding of the social context, which was largely affected by the political events during the period in which they were made. © 2019, © 2019 Critical Arts.Article Citation - WoS: 4Citation - Scopus: 8Accurate Indoor Positioning With Ultra-Wide Band Sensors(Tubitak, 2020) Arsan, Taner; Computer Engineering; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has UniversityUltra-wide band is one of the emerging indoor positioning technologies. In the application phase, accuracy and interference are important criteria of indoor positioning systems. Not only the method used in positioning, but also the algorithms used in improving the accuracy is a key factor. In this paper, we tried to eliminate the effects of off-set and noise in the data of the ultra-wide band sensor-based indoor positioning system. For this purpose, optimization algorithms and filters have been applied to the raw data, and the accuracy has been improved. A test bed with the dimensions of 7.35 m x 5.41 m and 50 cm x 50 cm grids has been selected, and a total of 27,000 measurements have been collected from 180 test points. The average positioning error of this test bed is calculated as 16.34 cm. Then, several combinations of algorithms are applied to raw data. The combination of Big Bang-Big Crunch algorithm for optimization, and then the Kalman Filter have yielded the most accurate results. Briefly, the average positioning error has been reduced from 16.34 cm to 7.43 cm.Article Citation - WoS: 12Citation - Scopus: 15Accurate Refinement of Docked Protein Complexes Using Evolutionary Information and Deep Learning(Imperıal College Press, 2016) Akbal-Delibas, Bahar; Farhoodi, Roshanak; Pomplun, Marc; Haspel, Nurit; Computer Engineering; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has UniversityOne of the major challenges for protein docking methods is to accurately discriminate native-like structures from false positives. Docking methods are often inaccurate and the results have to be refined and re-ranked to obtain native-like complexes and remove outliers. In a previous work we introduced AccuRefiner a machine learning based tool for refining protein-protein complexes. Given a docked complex the refinement tool produces a small set of refined versions of the input complex with lower root-mean-square-deviation (RMSD) of atomic positions with respect to the native structure. The method employs a unique ranking tool that accurately predicts the RMSD of docked complexes with respect to the native structure. In this work we use a deep learning network with a similar set of features and five layers. We show that a properly trained deep learning network can accurately predict the RMSD of a docked complex with 1.40 angstrom error margin on average by approximating the complex relationship between a wide set of scoring function terms and the RMSD of a docked structure. The network was trained on 35000 unbound docking complexes generated by RosettaDock. We tested our method on 25 different putative docked complexes produced also by RosettaDock for five proteins that were not included in the training data. The results demonstrate that the high accuracy of the ranking tool enables AccuRefiner to consistently choose the refinement candidates with lower RMSD values compared to the coarsely docked input structures.Article Açık kalp cerrahisi sonrası vertebral osteomiyelit mediastinitin önemli bir komplikasyonu(2001) Güden, Mustafa; Akpınar, Belhan; Sağbaş, Ertan; Sanisoğlu, İlhan; Şirvancı, Mustafa; Bayramoğlu, Zehra; Çaynak, Barış; Yüksel, Alper; 01. Kadir Has University[Abstract Not Available]Article Citation - WoS: 12Citation - Scopus: 15Acute Aortic Valve Regurgitation Secondary To Blunt Chest Trauma(Texas Heart Inst., 2001) Ünal, Mehmet; Demirsoy, Ergun; Göğüş, Abdullah; Arbatlı, Harun; Hamzaoğlu, Azmi; Sönmez, Bingür; 01. Kadir Has UniversityBlunt injury to the cardiac valves leads to progressive acute ventricular failure which often requires urgent surgical management In this case report we describe an acute aortic valve rupture caused by air-bag inflation during an automobile accident. Laceration of an aortic valve cusp was treated successfully with urgent aortic valve replacement. A concomitant orthopedic injury was treated electively 15 days after cardiac surgery. Acute aortic valve rupture is a very rare complication of blunt chest trauma. We discuss how to diagnose and manage this potentially catastrophic event.Article Citation - Scopus: 12Acute Gastrointestinal Complications After Open Heart Surgery(Asia Publishing Exchange Pte Ltd, 2000) Akpınar, Belhhan; Sağbaş, Ertan; Güden, Mustafa; Kemertas, Kubilay; Sönmez, Bingür; Bayındır, Osman; Demiroğlu, Cemşid; 01. Kadir Has UniversityRetrospective analysis revealed that 24 of 4401 adult patients (0.5%) developed severe gastrointestinal complications after open heart surgery during a 3-year period from January 1995. There were 4 women (17%) and 20 men (83%). Mean age was 61.7 ± 2.02 years. Gastrointestinal bleeding (33.3%) mesenteric ischemia (20.8%) pancreatitis (20.8%) hepatic dysfunction (16.7%) and cholecystitis (16.7%) were the most common complications. Mortality was 41.7% (10 patients). During the same period mortality in the patients who did not develop gastrointestinal complications was 1.89% (p < 0.0001). Emergency basis reoperation combined operations peripheral vascular disease diabetes mellitus chronic lung disease and impaired left ventricle function were found to be risk factors for the development of postoperative gastrointestinal complications.Conference Object Citation - WoS: 3Citation - Scopus: 2Adaptive Sampling Noise Mitigation Technique for Feedback-Based Quantum Algorithms(Springer international Publishing Ag, 2024) Rahman, Salahuddin Abdul; Clausen, Henrik Glavind; Karabacak, Ozkan; Wisniewski, Rafal; Mechatronics Engineering; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has UniversityInspired by Lyapunov control techniques for quantum systems, feedback-based quantum algorithms have recently been proposed as alternatives to variational quantum algorithms for solving quadratic unconstrained binary optimization problems. These algorithms update the circuit parameters layer-wise through feedback from measuring the qubits in the previous layer to estimate expectations of certain observables. Therefore, the number of samples directly affects the algorithm's performance and may even cause divergence. In this work, we propose an adaptive technique to mitigate the sampling noise by adopting a switching control law in the design of the feedback-based algorithm. The proposed technique can lead to better performance and convergence properties. We show the robustness of our technique against sampling noise through an application for the maximum clique problem.Article Advancing Image Spam Detection: Evaluating Machine Learning Models Through Comparative Analysis(MDPI, 2025) Jamil, Mahnoor; Trpcheska, Hristina Mihajloska; Popovska-Mitrovikj, Aleksandra; Dimitrova, Vesna; Creutzburg, Reiner; 01. Kadir Has UniversityImage-based spam poses a significant challenge for traditional text-based filters, as malicious content is often embedded within images to bypass keyword detection techniques. This study investigates and compares the performance of six machine learning models-ResNet50, XGBoost, Logistic Regression, LightGBM, Support Vector Machine (SVM), and VGG16-using a curated dataset containing 678 legitimate (ham) and 520 spam images. The novelty of this research lies in its comprehensive side-by-side evaluation of diverse models on the same dataset, using standardized dataset preprocessing, balanced data splits, and validation techniques. Model performance was assessed using evaluation metrics such as accuracy, receiver operating characteristic (ROC) curve, precision, recall, and area under the curve (AUC). The results indicate that ResNet50 achieved the highest classification performance, followed closely by XGBoost and Logistic Regression. This work provides practical insights into the strengths and limitations of traditional, ensemble-based, and deep learning models for image-based spam detection. The findings can support the development of more effective and generalizable spam filtering solutions in multimedia-rich communication platforms.Article Citation - WoS: 9Citation - Scopus: 12Affective Modulation of Working Memory Maintenance: the Role of Positive and Negative Emotions(UNIV ECONOMICS) Gökçe, Ahu; Zinchenko, Artyom; Annac, Efsun; Conci, Markus; Geyer, Thomas; Psychology; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has UniversityThe present study investigated the impact of task-irrelevant emotional images on the retention of information in spatial working memory (WM). Two experiments employed a delayed matching-to-sample task where participants had to maintain the locations of four briefly presented squares. After a short retention interval, a probe item appeared and participants were required to indicate whether the probe position matched one of the previously occupied square positions. During the retention interval, task-irrelevant negative, positive, or neutral emotional pictures were presented. The results revealed a dissociation between negative and positive affect on the participants' ability to hold spatial locations in WM. While negative affective pictures reduced WM capacity, positive pictures increased WM capacity relative to the neutral images. Moreover, the specific valence and arousal of a given emotional picture was also related to WM performance: While higher valence enhanced WM capacity, higher levels of arousal in turn reduced WM capacity. Together, our findings suggest that emotions up- or down-regulate attention to items in WM and thus modulate the short-term storage of visual information in memory.Article Citation - WoS: 1Citation - Scopus: 1AI-Driven Predictive Maintenance for Workforce and Service Optimization in the Automotive Sector(MDPI, 2025) Yildirim, Senda; Yucekaya, Ahmet Deniz; Hekimoglu, Mustafa; Ucal, Meltem; Aydin, Mehmet Nafiz; Kalafat, Irem; Industrial Engineering; Economics; Management Information Systems; 03. Faculty of Economics, Administrative and Social Sciences; 05. Faculty of Engineering and Natural Sciences; 01. Kadir Has UniversityVehicle owners often use certified service centers throughout the warranty period, which usually extends for five years after buying. Nonetheless, after this timeframe concludes, a large number of owners turn to unapproved service providers, mainly motivated by financial factors. This change signifies a significant drop in income for automakers and their certified service networks. To tackle this issue, manufacturers utilize customer relationship management (CRM) strategies to enhance customer loyalty, usually depending on segmentation methods to pinpoint potential clients. However, conventional approaches frequently do not successfully forecast which clients are most likely to need or utilize maintenance services. This research introduces a machine learning-driven framework aimed at forecasting the probability of monthly maintenance attendance for customers by utilizing an extensive historical dataset that includes information about both customers and vehicles. Additionally, this predictive approach supports workforce planning and scheduling within after-sales service centers, aligning with AI-driven labor optimization frameworks such as those explored in the AI4LABOUR project. Four algorithms in machine learning-Decision Tree, Random Forest, LightGBM (LGBM), and Extreme Gradient Boosting (XGBoost)-were assessed for their forecasting capabilities. Of these, XGBoost showed greater accuracy and reliability in recognizing high-probability customers. In this study, we propose a machine learning framework to predict vehicle maintenance visits for after-sales services, leading to significant operational improvements. Furthermore, the integration of AI-driven workforce allocation strategies, as studied within the AI4LABOUR (reshaping labor force participation with artificial intelligence) project, has contributed to more efficient service personnel deployment, reducing idle time and improving customer experience. By implementing this approach, we achieved a 20% reduction in information delivery times during service operations. Additionally, survey completion times were reduced from 5 min to 4 min per survey, resulting in total time savings of approximately 5906 h by May 2024. The enhanced service appointment scheduling, combined with timely vehicle maintenance, also contributed to reducing potential accident risks. Moreover, the transition from a rule-based maintenance prediction system to a machine learning approach improved efficiency and accuracy. As a result of this transition, individual customer service visit rates increased by 30%, while corporate customer visits rose by 37%. This study contributes to ongoing research on AI-driven workforce planning and service optimization, particularly within the scope of the AI4LABOUR project.Book Review Altarpieces and Their Viewers in the Churches of Rome From Caravaggio To Guido Reni(Cambridge Univ Press, 2010) Walberg, Helen Deborah; 01. Kadir Has University[Abstract Not Available]Conference Object Citation - WoS: 1Citation - Scopus: 1Analysis of the Patients and Physicians Connection Network on an Online Health Information Platform(IOS Press, 2014) Aydın, Mehmet Nafiz; Perdahci, N. Ziya; Management Information Systems; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has UniversitySocial network applications have gained popularity in the health domain as they bring health information seekers (patients and alike) and medication advice providers (physicians and other relevant actors) together. By employing a network science perspective this research is aimed to understand an information network establishing connections among and between information seekers and providers. We found that such a connection network surfaces most of the essential characteristics of a typical complex network. Furthermore a detailed structural analysis shows some intriguing relations and connection behaviours in the network. Implications of the findings are discussed from the perspectives of medical informatics and social network analysis.Book Review Anti-Veiling Campaigns in Turkey: State, Society and Gender in the Early Republic(Cambridge Univ Press, 2025) Ustun, Ebrar Begum; 01. Kadir Has UniversityArticle Aortanın İleri Derecede Aterosklerozunda Koroner Arter Cerrahisi(1999) Akpınar, Belhhan; Güden, Mustafa; Polat, Bülent; Sağbaş, Ertan; Sanisoğlu, İlhan; Sönmez, Bingür; Demiroğlu, Cemşid; 01. Kadir Has UniversityAçık kalp cerrahisinde tekniklerin ilerlemesine rağmen nörolojik komplikasyonların görülme sıklığı azalmamıştır ve inme (stroke) morbidite ve mortaliteyi önemli ölçüde artırmaktadır. Bu yazıda çıkan aortada ileri derecede kalsifikasyon bulunan vakalarda hipotermik fibrilasyon tekniği kullanılarak aortaya dokunulmadan ve kross klemp konulmadan yapılan koroner by-pass ameliyatları anlatıldı. 2 yıl içinde aortada ileri derecede kalsifikasyon bulunan 23 olguda bu teknik kullanıldı. Yaş ortalaması 65 + 3 yıl idi. Kardiopulmoner bypass için femoral arter ve sağ atrium kullanıldı. Tüm hastalar 26-28 ºC'de ventriküler fibrilasyon ile ameliyat edildi ve internal torasik arterler ve gastroepiploik arter ve bu greftlerin kombinasyonu kullanıldı. Aortaya klemp uygulanmadı ve proksimal anastomoz yapılmadı. 30 günlük ölüm oranı 0 idi. Hiçbir olguda nörolojik komplikasyon, alt ekstremite iskemisi ve hemodinamik problem gözlenmedi. Sadece 1 olgu kanama nedeniyle tekrar ameliyata alındı ve eksik revaskülarizasyon yapılan 1 vakada peroperatif miyokard enfarktüsü görüldü, fakat hemodinamik olarak bir problem olmadı. Bu teknik iyi miyokard korunması sağladığı, uygun revaskülarizasyonu engellemediği ve emboliye bağlı nörolojik komplikasyonları önemli ölçüde engellediği için tercih edilebilir.Article Citation - WoS: 1The association of HLA-DRB1 alleles and MBL2 gene variant in pediatric acute lymphoblastic leukemia patients(Elsevier, 2024) Oguz, Rustu; Ciftci, Hayriye Senturk; Gokce, Muge; Ogret, Yeliz; Karadeniz, Sedat; Pehlivan, Sacide; Ayd, Filiz; 01. Kadir Has UniversityIntroduction: Epidemio logic studies on pediatric acute lymphoblastic leukemias (ALL) have been conducted to evaluate the possible risk factors including genetic, infectious and environmental factors with the objective of idenfying the etiology. Mannose-binding lectin 2 (MBL2) plays an important role in first-line immune defense. HLA DRB1 alleles play a role in presentation of peptides to T cells and in activation of the adaptive immune response. Objective: In our study, we aimed to investigate both the MBL2 gene variant and HLA-DRB1 alleles in pediatric ALL patients. Materials: In this study, 86 high-risk ALL patients and 100 controls were included. Polymerase Chain Reaction (PCR)-Restriction Fragment Length Polymorphism (PCR-RFLP) and PCRsequence specific primer (SSP) methods were used for detection of polymorphism of the MBL2 and HLA-DRB1 alleles, respectively. Results: The frequency of the MBL2 AB genotype was lower in female ALL patients, compared to male ALL patients (p = 0.034). An association was found between the MBL2 BB genotype and DRB1*07 and among patients with the MBL2 BB genotype; those who also carried the DRB1*07 and *04 alleles were significantly higher than those without the DRB1*07 and *04 alleles. (p = 0.048, p = 0.022, respectively). Conclusion: This is the first study suggesting that the MBL2 BB genotype in association with the DRB1*07 or co-inheritance of the HLA-DRB1*04 and HLA DRB1*07 may have an impact on the etiopathogenesis of the disease. (c) 2023 Associa & ccedil;& atilde;o Brasileira de Hematologia, Hemoterapia e Terapia Celular. Published by Elsevier Espa & ntilde;a, S.L.U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Article Citation - WoS: 4Citation - Scopus: 7Atomic Force Microscopy and Spectroscopy Studies of Annealed Ce/Ti Mixed Oxide Thin Films Prepared by Sol-Gel Process(Elsevier Science Bv, 2006) Ghodsi, Farhad E.; Tepehan, Fatma Zehra; Tepehan, Galip Gültekin; 01. Kadir Has UniversityMixed Ce/Ti/Zr oxide thin films with a molar ratio of 0.5:0.25:0.25 were prepared using the sol-gel process and deposited on glass substrates by the dip coating technique. The effect of heat treatment temperature on surface morphology of the films was examined by atomic force microscopy AFM. The optical transmittance and reflectance of the films were measured over the spectral range from 350 to 1000 nm. The refractive index and extinction coefficient and thickness of the films were determined as a function of the heat treatment temperature. The refractive index increased from 1.51 to 2.02 at lambda = 600 nm and the extinction coefficient values increased from 0.006 to 0.094 while the thickness of the films decreased from 81 nm to 45 nm when annealing temperature increased from 100 degrees C to 500 degrees C. The results show that the optical properties and surface morphology of the mixed Cc/Ti/Zr oxide thin films were affected by annealing temperature. (c) 2006 Elsevier B.V. All rights reserved.Article Attentional Modulation of Outlier Processing(Springer, 2025) Gokce, Ahu; Yildirim, Bugay; Boduroglu, Aysecan; Psychology; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has UniversityEnsemble perception enables the visual system to function effectively when the number of stimuli in the environment exceeds its capacity. Ensemble representations not only help the limited capacity of visual representations, but they also facilitate the detection and representation of items deviating from the group (i.e., the outlier). This study focuses on how attentional mechanisms modulate outlier processing. In three experiments, we presented participants with an ensemble that was formed by circle stimuli in varying sizes, and the outlier item was distinct in terms of its location. We measured outlier localization performance while manipulating attentional orienting via a spatial cueing paradigm. In Experiment 1, a valid, invalid, or neutral cue was presented before or after the display. Facilitation of outlier localization was most pronounced in the valid precue condition. Experiment 2 included a task to actively engage ensemble perception in addition to outlier localization, and cue validity effect was observed as in Experiment 1. Experiment 3A was carried to directly compare the top-down and bottom-up influences on outlier processing by presenting two spatial outliers-one target and another distractor outlier. The target outlier identity was previously determined and was identical across trials. In Experiment 3B, the target was in red, making it salient among the remaining items. In the invalid trials, where the distractor outlier was cued, responses were closer to the distractor item indicating that outlier processing is cue driven. These experiments overall demonstrate that automaticity of outlier processing can be overridden by cue-driven processes.Article Attractiveness Differentially Affects Direct Versus Indirect Face Evaluations in Two Cultures(Sage Publications Inc, 2023) Cassidy, Brittany S.; Saribay, S. Adil; Yuksel, Huseyin; Kleisner, Karel; Psychology; 03. Faculty of Economics, Administrative and Social Sciences; 01. Kadir Has UniversityAlthough decades of research have identified facial features relating to people's evaluations of faces, specific features have largely been examined in isolation from each other. Recent work shows that considering the relative importance of these features in face evaluations is important to test theoretical assumptions of impression formation. Here, we examined how two facial features of evolutionary interest, facial attractiveness and facial-width-to-height ratio (FWHR), relate to evaluations of faces across two cultures. Because face evaluations are typically directly measured via self-reports, we also examined whether these features exert differential effects on both direct and indirect face evaluations. Evaluations of standardized photos naturally varying in facial attractiveness and FWHR were collected using the Affect Misattribution Procedure in the United States and Turkey. When their relative contributions were considered in the same model, facial attractiveness, but not FWHR, related to face evaluations across cultures. This positive attractiveness effect was stronger for direct versus indirect evaluations across cultures. These findings highlight the importance of considering the relative contributions of facial features to evaluations across cultures and suggest a culturally invariant role of attractiveness when intentionally evaluating faces.
