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Challenging the Stereotypes: Religious and Gender Identities in Ramy
No full textKimlik, sosyal ve kültürel bağlamlarda, insanların kendilerini nasıl tanımladıklarını ve toplumun onları nasıl gördüğünü içeren akışkan bir süreçtir. Medya, sosyal gerçekliği yansıtmanın ötesinde, kimlikleri aktif bir şekilde şekillendirdiği ve inşa ettiği için bu süreçte önemli bir role sahiptir. Batı medyası, genellikle kültürel hegemonya ve ideolojik stratejilerini sürdürmek amacıyla, Müslüman kimliklerini Oryantalist ve Avrupa-merkezci bir bakış açısına dayanan belirli stereotiplerle tasvir etmiştir. Bu tez, Ramy dizisinin Hollywood medyasındaki Müslüman kimliklerin tasvirini eleştiren ve Oryantalist ve Avrupa-merkezci anlatıya alternatif bir temsil sunan dikkat çekici bir örnek olduğunu savunmaktadır. Bu tezde, Ramy dizisinde dini ve cinsiyet kimliklerinin nasıl temsil edildiğini, Üçüncü Dünya Sineması, postkolonyal teori ve feminist film çalışmaları kapsamında bu kavramlar üzerine yapılan tartışmalardan yararlanarak inceliyorum. Dizinin, Müslüman kimliklerine dair temel klişelere meydan okuduğunu ve çok daha incelikli tasvirleri ekrana taşıdığını iddia ediyorum. Ramy, kimlik temsili meselesini -genellikle Üçüncü Dünya sinemasıyla sınırlı kalan ve bu alanda eleştirel bir şekilde incelenen bu konuyu- dijital platformlar aracılığıyla popüler alana taşımaktadır. Bunu yaparak, ana akım medyada temsil, kimlik, Müslüman kimlikleri ve Müslüman kadınların kimlikleri gibi kavramların sorgulaması ve tartışılması için bir alan yaratmaktadır.Identity is a fluid process in social and cultural contexts that includes how people describe themselves as well as how society views them. The media has a crucial role in this process because it actively shapes and constructs identities in addition to reflecting social reality. Western media has often portrayed Muslim identities in a way using specific stereotypes that have their roots in an Orientalist and Eurocentric viewpoint to uphold its cultural hegemony and ideological strategies. This thesis argues that Ramy is an outstanding example that criticizes the representation of Muslim identities in mainstream media and offers an alternative representation to the Orientalist and Eurocentric narrative. In this thesis, I examine how religious and gender identities are represented in the series Ramy by employing discussions on these concepts within the Third World Cinema, postcolonial theory, and feminist film studies. I argue that the series challenges key stereotypes about Muslim identities and brings much more nuanced portrayals to the screen. Ramy introduces the issue of identity representation— often confined to Third World cinema and critically examined there—into the popular realm through digital platforms. By doing so, it creates space in mainstream media for questioning and discussing concepts such as representation, identity, Muslim identities, and the identities of Muslim women
Electricity Theft Detection Using Machine Learning Approaches: A Case Study in Turkiye
No full textBosch Engineering Centre; Energobit Company; Rohde and Schwarz; Romania S.R.L.Electricity theft, leading to financial losses and operational inefficiencies, is a significant challenge for energy utilities. In this study, advanced pre-processing, feature selection and model evaluation techniques were used to develop a machine learning model for detecting electricity theft. The dataset, which consists of over 53 million samples, was carefully preprocessed to eliminate missing values and irrelevant features. Principal component analysis (PCA) was applied to reduce dimensionality, and both undersampling and oversampling were used to avoid class imbalance. Four machine learning algorithms were evaluated: Random Forest, kNN, XGBoost and Logistic Regression. The training and evaluation of the models were performed in Jupyter Notebook using Joblib for efficient CPU-based parallel computation. The random forest with over-sampling achieved the highest performance with an accuracy of 98.23% and an F1 score of 0.90, showing the effectiveness of handling class imbalance. The results show that over-sampling the dataset leads to better results than under-sampling, emphasising the importance of this approach in detecting power theft. © 2025 Elsevier B.V., All rights reserved
Ranking Circularity Levels in Industrial Parks: A Holistic Approach Incorporating Environmental, Economic and Social Indicators
No full textThis 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
Sismik İstasyon Verilerinin Analizi İçin Değişimsel Otomatik Kodlayıcı Eğitimi ve Değerlendirilmesi
No full textIn this study, a variational autoencoder model is proposed to encode the geological, geophysical, and geographical data of seismic stations in Turkey. The model encodes various station-specific data, such as site frequency, surface lithology, and latitude-longitude, into a low-dimensional latent space, aiming to disentangle the generative factors of these data and improve their representation. This approach effectively represents the regional characteristics surrounding the station, enabling the disentanglement of station-related effects. Evaluations based on disentanglement and completeness scores indicate that the model successfully distinguishes station characteristics, such as the average shear wave velocity in the top 30 meters of the surface. The resulting station data encoder can provide additional information to deep learning models processing acceleration records, contributing to a better understanding and modeling of station effects in seismic analysis
A Multilab Investigation into the N2pc as an Indicator of Attentional Selectivity: Direct Replication of Eimer (1996)
No full textLuque, David/0000-0002-3457-9204; Constant, Martin/0000-0001-9574-0674The N2pc is widely employed as an electrophysiological marker of an attention allocation. This interpretation was largely driven by the observation of an N2pc elicited by an isolated relevant target object, which was reported as Experiment 2 in Eimer (1996). All subsequent refined interpretations of the N2pc had to take this crucial finding into account. Despite its central role for neurocognitive attention research, there have been no direct replications and only few conceptual replications of this seminal work. Within the context of #EEGManyLabs, an international community-driven effort to replicate the most influential EEG studies ever published, the present study was selected due to its strong impact on the study of selective attention. We revisit the idea of the N2pc being an indicator of attentional selectivity by delivering a high powered direct replication of Eimer's work through analysis of 779 datasets acquired from 22 labs across 14 countries. Our results robustly replicate the N2pc to form stimuli, but a direct replication of the N2pc to color stimuli technically failed. We believe that this pattern not only sheds further light on the functional significance of the N2pc as an electrophysiological marker of attentional selectivity, but also highlights a methodological problem with selecting analysis windows a priori. By contrast, the consistency of observed ERP patterns across labs and analysis pipelines is stunning, and this consistency is preserved even in datasets that were rejected for (ocular) artifacts, attesting to the robustness of the ERP technique and the feasibility of large-scale multilab EEG (replication) studies. (c) 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).DFG [RTG 2175]; UK Research and Innovation Biotechnology and Biological Sciences Research Council [BB/X008428/1]; BP - National Science Center of Poland [2016/22/E/HS6/00139]; Strategic Programme Excellence Initiative at Jagiellonian University [221.6120.49.2023, PID2021-126767NB-I00]; Junta de Andaluci; Agence Nationale de la Recherche [ANR-18-10CE-0001]; UKRI BBSRC [BB/X008428/1]; National Institute for Health and Care Research (NIHR) Leeds Biomedical Research Centre (BRC) [NIHR203331]; National Natural Science Foundation of China [32271078]; Natural Sciences and Engineering Research Council of Canada (NSERC) - Ministry of Science, Research and Cultural Affairs of the State of Brandenburg [10001E_21951]; Swiss National Science Foundation; University of Essex Department of Psychology Research Promotion Fund#EEGManyLabs is funded by the DFG (PA 4005/1-1) , provided to YGP and a UK Research and Innovation Biotechnology and Biological Sciences Research Council award (BB/X008428/1) to FM. Lead Replicating Senior Author (HRL) and First Author are funded by the DFG (LI 2868/3-1) . AM is funded by the DFG (RTG 2175) . DA, BP and IK are funded by the National Science Center of Poland (grant 2016/22/E/HS6/00139) , and the Strategic Programme Excellence Initiative at Jagiellonian University (grant 221.6120.49.2023) . DL is funded by the MCIN/AEI (PID2021-126767NB-I00) and the Junta de Andaluc & imath;a (PROYEX-CEL_00287) . AD is funded by the Agence Nationale de la Recherche (ANR-18-10CE-0001) . FM is supported in part by a UKRI BBSRC award (BB/X008428/1) and the National Institute for Health and Care Research (NIHR) Leeds Biomedical Research Centre (BRC) (NIHR203331) . The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. LC is supported by the National Natural Science Foundation of China (32271078) . RJI is funded by Natural Sciences and Engineering Research Council of Canada (NSERC) . KJ is funded by the Ministry of Science, Research and Cultural Affairs of the State of Brandenburg. DK is supported by grant No. 10001E_21951 from the Swiss National Science Foundation. MY and HG received funding by the University of Essex Department of Psychology Research Promotion Fund for this study.Science Citation Index Expanded - Social Science Citation Inde
Authoritarian Neoliberalism and the Instrumentalization of the Banking Sector in Turkey and Hungary
No full textCoban, Mehmet Kerem/0000-0003-3226-6340This paper studies the evolution of the domestic banking sector in Hungary and Turkey where Viktor Orban and Recep Tayyip Erdogan have intervened to politically control credit allocation. We argue that both leaders have instrumentalized the banking sector to serve their political needs rather than following a developmentalist agenda under authoritarian neoliberalism. This occurred through two distinct patterns following the 2008 Global Financial Crisis in an attempt to ensure their political survival: while Orban intervened in the banking sector to secure partisan access to consumption, Erdogan did so to ensure partisan business access to cheap credit. These policy preferences reveal additional components of an autocrat's toolkit for political survival, which are strongly influenced by the constellation of dominant social bloc interests and the relative position of their national economies within the overall global financial hierarchy.Austrian Science Fund [PAT1549723]; Ministerio de Ciencia, Innovacion y Universidades (Spain) [PGC2018-093719-A-I00]; Ministerio de Ciencia, Inovacion y Universidades (Spain); PRIDEBT MCIU/AEI [PID2023-150332NB-I00]The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Austrian Science Fund; PAT1549723-Stand Alone Project; Ministerio de Ciencia, Innovacion y Universidades (Spain); PGC2018-093719-A-I00, and Ministerio de Ciencia, Inovacion y Universidades (Spain); PID2023-150332NB-I00; PRIDEBT PID2023-150332NB-I00 financiado por MCIU/AEI/10.13039/501100011033/FEDER, UE.Social Science Citation Inde
Trapped Zone Belgesel Filminde Arzu Oluşumu ve Kamera
No full textTez çalışması, Trapped Zone belgesel filminde yer alan aile arşivi görüntüleri üzerinden yönetmenin film yapma arzusunun oluşumunun izini sürerken yönetmenin çocukluğundan beri hayatında olan kameranın bilinçdışında edinmiş olabileceği farklı konumları psikanalitik olarak inceler.The thesis traces the formation of the director's desire to make films through the family archive footage featured in the documentary Trapped Zone and psychoanalytically examines the different positions the camera, present in the director's life since childhood, may have occupied in the unconscious
Shared Eplets Between Donor Antigens and Patient Antibodies or Mismatched Eplets Between Donor Antigens and Patient Antigens: A Comparison of the Two Algorithms for Predicting Donor-Specific Antibodies
No full textPhysics-Informed Power Grid Reconstruction: Complex Systems Perspective
No full textEnerji, modern yas¸amın tum y ¨ onlerini beslerken, elektrik s¸ebekesi bu sistemin temel ¨ altyapısını olus¸turur. Ancak bu s¸ebeke, buy¨ uk¨ olc¸ekli, do ¨ grusal olmayan ve mek ˘ ana ˆ gom¨ ul¨ u yapısıyla insan eliyle yapılmıs¸ en karmas¸ık sistemlerden biridir. K ¨ uc¸¨ uk bir bozul- ¨ ma bile ardıs¸ık arızaları tetikleyerek genis¸ c¸aplı elektrik kesintilerine ve toplumsal etkilere yol ac¸abilir. Gunes¸ ve r ¨ uzg ¨ ar gibi yenilenebilir kaynaklara gec¸is¸in hızlanmasıyla birlikte, ˆ s¸ebeke degis¸kenlik ve merkezsiz ˘ uretim gibi yeni zorluklarla kars¸ı kars¸ıyadır. Bu nedenle, ¨ s¸ebekenin kararlılıgını ve dayanıklılı ˘ gını sa ˘ glamak hem bilimsel bir zorunluluk hem de ˘ pratik bir ihtiyac¸ haline gelmis¸tir. ˆ Bu tez, karmas¸ık sistemler bakıs¸ ac¸ısıyla tasarlanmıs¸ ac¸ık kaynaklı bir yazılım hattı sunar. Bu hat, ac¸ık eris¸imli cografi verileri kullanarak y ˘ uksek gerilimli iletim a ¨ gı modelleri ˘ olus¸turmayı mumk ¨ un kılar. Y ¨ ontem genel olarak uygulanabilir olsa da, detaylı bir ¨ ornek ¨ c¸alıs¸ma olarak Turkiye elektrik iletim s¸ebekesi ele alınmıs¸tır. Ac¸ık eris¸imli, fiziksel olarak ¨ detaylı s¸ebeke modellerinin azlıgını gidermek amacıyla, OpenStreetMap verileri is¸lenerek ˘ MATLAB MATPOWER ile uyumlu modeller uretilmis¸tir. Ortaya c¸ıkan veri seti; hat ¨ empedansları, termal sınırlar ve yuk da ¨ gılımları gibi temel elektriksel parametreleri ic¸erir. ˘ Bu parametreler muhendislik tahminleriyle elde edilip g ¨ uc¸ akıs¸ı ac¸ısından do ¨ grulanmıs¸tır. ˘ ˙Iki ornek c¸alıs¸ma, yazılım aracının ve olus¸turulan veri setinin yararlılı ¨ gını g ˘ ostermektedir. ¨ ˙Ilk c¸alıs¸ma, senkronizasyon kararlılıgını, kararsızlı ˘ gın erken uyarı sinyallerini tespit et- ˘ mek ic¸in stokastik perturbasyon analizi kullanarak incelemektedir. ¨ ˙Ikinci c¸alıs¸ma ise termal as¸ırı yuklenmelere ba ¨ glı ardıs¸ık arızaları aras¸tırmakta, kırılgan iletim hatlarını belir- ˘ lemekte ve dayanıklılıgı artırmak ic¸in hedefe y ˘ onelik g ¨ uc¸lendirme ¨ onerileri sunmaktadır. ¨ Bu ornekler, elektrik s¸ebekesi dinamiklerini modellemede fiziksel ve yapısal gerc¸ekc¸ili ¨ gin ˘ onemini vurgulamaktadır. ¨ Bu c¸alıs¸maların otesinde, veri seti ve yazılım aracı, g ¨ uc¸ sistemi modellemesi ic¸in ¨ olc¸ekle- ¨ nebilir ve tekrarlanabilir bir c¸erc¸eve sunmaktadır. Yenilenebilir entegrasyonu, genis¸leme planlaması, dayanıklılık analizi ve gerc¸ek zamanlı izleme gibi uygulamaları desteklemektedir. Hem arac¸ların hem de verilerin kamuya ac¸ık hale getirilmesiyle, bu tez modern enerji altyapısının kararlılıgı ve s ˘ urd ¨ ur¨ ulebilirli ¨ gi˘ uzerine veri odaklı, disiplinlerarası ¨ aras¸tırmalara katkı saglamaktadır. ˘ Anahtar Sozcükler: Elektrik S¸ ebekesi Altyapısı, OpenStreetMap Veri Entegrasyonu, Karmas¸ık Sistemler Analizi, Senkronizasyon, KararlılıkEnergy powers all aspects of modern life, with the electrical power grid serving as its foundational infrastructure. Yet, the grid is also one of the most complex man-made systems: large-scale, nonlinear, and spatially embedded. Even minor disturbances can trigger cascading failures, leading to widespread blackouts and serious societal impacts. As the global energy transition accelerates with increasing reliance on renewables like solar and wind, the grid faces new challenges from variability and decentralised generation. Ensuring its stability and resilience has become both a scientific imperative and a practical necessity. This Thesis introduces an open-source software pipeline for constructing high-voltage transmission network models using open-access geospatial data, framed through a complex systems lens. While the approach is broadly applicable, the Turkish power grid serves as a detailed case study. In response to the scarcity of openly available, physically detailed grid models, this work transforms raw OpenStreetMap data into MATLAB MATPOWER-compatible power system models. The resulting dataset includes key electrical parameters—line impedances, thermal limits, and load distributions—generated through engineering estimation and validated for power flow feasibility. Two case studies demonstrate the software tool and generated dataset's utility. The first examines synchronisation stability using stochastic perturbation analysis to detect early warning signals of instability. The second investigates cascading failures due to thermal overloads, identifying vulnerable transmission lines and proposing targeted reinforcements to enhance resilience. These examples highlight the importance of physical and structural realism in modelling power grid dynamics. Beyond these studies, the dataset and software establish a scalable, reproducible framework for power system modelling. They support applications in renewable integration, expansion planning, resilience analysis, and real-time monitoring. By making both tools and data publicly available, this Thesis contributes to data-driven, interdisciplinary research on the stability and sustainability of modern power infrastructure. Keywords: Power Grid Infrastructure, OpenStreetMap Data Integration, Complex Systems Analysis, Synchronisation, Stabilit
